Prof. Ahmed Ouadha | Computational Methods | Best Researcher Award

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Prof. Ahmed Ouadha | Computational Methods | Best Researcher Award

Prof at USTO-MB | Algeria

Prof. Ahmed Ouadha is a distinguished academic specializing in energy systems and marine engineering. His expertise covers thermodynamics, refrigeration, marine diesel engines, and exergy analysis with a strong integration of Computational Methods. His career reflects a commitment to advancing innovative Computational Methods for analyzing complex thermal and fluid systems. Through Computational Methods, he has contributed extensively to the optimization of marine propulsion and refrigeration cycles. Prof. Ouadha’s leadership in academic and industrial collaborations strengthens the practical application of Computational Methods in engineering research. He continues to explore new Computational Methods to address emerging challenges in sustainable energy systems, positioning himself at the forefront of technological advancement in marine and mechanical engineering fields globally.

Professional Profiles

Google Scholar Profile | ORCID Profile | Scopus Profile

Education 

Prof. Ahmed Ouadha obtained multiple degrees in energetic and marine engineering, providing a solid academic foundation for research and teaching. His educational journey focused on applying Computational Methods in thermodynamic systems, refrigeration cycles, and marine propulsion optimization. Advanced studies enabled him to integrate Computational Methods for exergy analysis, heat transfer modeling, and fluid mechanics simulations. The emphasis on Computational Methods throughout his education cultivated skills crucial for developing predictive models and enhancing system efficiency. His academic background demonstrates how Computational Methods can bridge theoretical analysis and industrial solutions. This comprehensive preparation established him as an expert capable of transforming Computational Methods into practical tools for innovative engineering applications.

Experience 

Prof. Ahmed Ouadha has held academic positions advancing from lecturer to full professor in marine engineering, consistently applying Computational Methods to teaching, research, and industrial consultancy. His professional experience emphasizes the strategic use of Computational Methods in optimizing marine diesel engines, refrigeration systems, and energy recovery solutions. He has supervised numerous research projects where Computational Methods guided experimental designs, data analysis, and system modeling. Industrial training and consulting engagements benefited from Computational Methods to diagnose and improve ship performance. His professional path illustrates how Computational Methods drive innovation across education, research, and practical engineering domains, reinforcing his reputation as a leader in applying Computational Methods effectively.

Research Interest 

Prof. Ahmed Ouadha’s research interests span thermodynamics, marine diesel engines, refrigeration, cryogenics, exergy analysis, and fluid dynamics, with Computational Methods serving as a core approach. He employs Computational Methods to simulate and optimize marine propulsion systems and heat transfer mechanisms, ensuring enhanced efficiency and sustainability. His focus includes applying Computational Methods to analyze alternative fuels, waste heat recovery cycles, and advanced refrigeration technologies. These Computational Methods support the development of predictive tools and environmentally responsible engineering solutions. By continuously integrating Computational Methods into evolving research areas, Prof. Ouadha advances the boundaries of knowledge while addressing pressing global energy and marine industry challenges.

Award and Honor

Prof. Ahmed Ouadha has been recognized for his exceptional academic and research contributions, often centered around the innovative application of Computational Methods. His work using Computational Methods in marine energy systems has earned distinctions in conferences and journals. These awards highlight the impact of Computational Methods in optimizing performance, reducing emissions, and improving sustainability in marine and thermal engineering. Honors received underscore his role as a pioneer integrating Computational Methods in multi-disciplinary projects. Through such achievements, he has elevated both academic standards and industrial practices, proving the transformative influence of Computational Methods in engineering advancements globally and inspiring future generations of researchers.

Research Skill

Prof. Ahmed Ouadha possesses a broad set of research skills rooted in Computational Methods. His expertise includes modeling thermodynamic cycles, simulating fluid dynamics, and conducting exergy and entropy analyses using Computational Methods. He demonstrates strong capabilities in designing and validating advanced engineering systems where Computational Methods enhance predictive accuracy. His skills extend to integrating Computational Methods with experimental approaches, yielding robust insights for marine propulsion and refrigeration systems. He effectively applies Computational Methods to develop innovative solutions addressing energy efficiency, emissions control, and sustainable operations. This mastery of Computational Methods positions him as an essential contributor to cutting-edge engineering research and practical technological progress.

Publication Top Notes 

Title: Numerical study of energy separation in a vortex tube with different RANS models
Journal: International Journal of Thermal Sciences
Authors: M Baghdad, A Ouadha, O Imine, Y Addad
Citation: 108

Title: Integration of an ammonia-water absorption refrigeration system with a marine Diesel engine: A thermodynamic study
Journal: Procedia Computer Science
Authors: A Ouadha, Y El-Gotni
Citation: 94

Title: Effects of variable thermophysical properties on flow and energy separation in a vortex tube
Journal: International Journal of Refrigeration
Authors: A Ouadha, M Baghdad, Y Addad
Citation: 54

Title: Thermodynamic analysis of an HCCI engine based system running on natural gas
Journal: Energy Conversion and Management
Authors: M Djermouni, A Ouadha
Citation: 53

Title: Exergy analysis of a two-stage refrigeration cycle using two natural substitutes of HCFC22
Journal: International Journal of Exergy
Authors: A Ouadha, M En-Nacer, L Adjlout, O Imine
Citation: 51

Title: Combustion characteristics of hydrogen-rich alternative fuels in counter-flow diffusion flame configuration
Journal: Energy Conversion and Management
Authors: K Safer, F Tabet, A Ouadha, M Safer, I Gökalp
Citation: 34

Title: Thermodynamic analysis of methanol, ammonia, and hydrogen as alternative fuels in HCCI engines
Journal: International Journal of Thermofluids
Authors: M Djermouni, A Ouadha
Citation: 32

Title: Simulation of a syngas counter-flow diffusion flame structure and NO emissions in the pressure range 1–10 atm
Journal: Fuel Processing Technology
Authors: K Safer, F Tabet, A Ouadha, M Safer, I Gökalp
Citation: 32

Title: A numerical investigation of structure and emissions of oxygen-enriched syngas flame in counter-flow configuration
Journal: International Journal of Hydrogen Energy
Authors: M Safer, F Tabet, A Ouadha, K Safer
Citation: 28

Title: Comparative assessment of LNG and LPG in HCCI engines
Journal: Energy Procedia
Authors: M Djermouni, A Ouadha
Citation: 24

Title: An exergy analysis of various layouts of ORC-VCC systems for usage in waste heat recovery onboard ships
Journal: Marine Systems & Ocean Technology
Authors: O Bounefour, A Ouadha, Y Addad
Citation: 20

Title: Entropy generation in turbulent syngas counter-flow diffusion flames
Journal: International Journal of Hydrogen Energy
Authors: K Safer, A Ouadha, F Tabet
Citation: 18

Title: Performance comparison of cascade and two-stage refrigeration cycles using natural refrigerants
Journal: The 22nd International Congress of Refrigeration
Authors: A Ouadha, C Haddad, M En-Nacer, O Imine
Citation: 18

Title: Effects of kinetic energy and conductive solid walls on the flow and energy separation within a vortex tube
Journal: International Journal of Ambient Energy
Authors: M Baghdad, A Ouadha, Y Addad
Citation: 17

Title: Performance analysis of oxygen refrigerant in an LNG BOG re-liquefaction plant
Journal: Procedia Computer Science
Authors: BM Beladjine, A Ouadha, L Adjlout
Citation: 16

Title: Performance improvement of combined organic Rankine-vapor compression cycle using serial cascade evaporation in the organic cycle
Journal: Energy Procedia
Authors: O Bounefour, A Ouadha
Citation: 15

Title: Thermodynamic analysis and working fluid optimization of a combined ORC-VCC system using waste heat from a marine diesel engine
Journal: ASME International Mechanical Engineering Congress and Exposition
Authors: O Bounefour, A Ouadha
Citation: 13

Title: Flow and heat transfer features during propane (R290) and isobutane (R600a) boiling in a tube
Journal: International Journal of Thermofluids
Authors: R Fenouche, A Ouadha
Citation: 12

Title: Exergy analysis of an LNG BOG reliquefaction plant
Journal: Proceedings of the 23rd IIR International Congress of Refrigeration
Authors: BM Beladjine, A Ouadha, Y Benabdesslam, L Adjlout
Citation: 11

Title: CFD-based analysis of entropy generation in turbulent double diffusive natural convection flow in square cavity
Journal: MATEC Web of Conferences
Authors: K Said, A Ouadha, A Sabeur
Citation: 9

Conclusion

Prof. Ahmed Ouadha’s career exemplifies excellence in research, education, and innovation driven by Computational Methods. His contributions impact academic advancement, industrial efficiency, and environmental sustainability. By employing Computational Methods across multiple disciplines, he transforms theoretical concepts into practical solutions for marine propulsion, refrigeration, and energy systems. His leadership fosters collaborations where Computational Methods enable breakthroughs addressing contemporary engineering challenges. The consistency, depth, and vision in applying Computational Methods underline his status as a prominent figure in modern mechanical and marine engineering. Prof. Ouadha continues to shape the future of engineering education and technology, demonstrating how Computational Methods can inspire progress globally.

Assist. Prof. Dr. J. Prakash | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. J. Prakash | Mathematical Physics | Best Researcher Award

Assistant Professor at Avvaiyar Government College for Women | India

Assist. Prof. Dr. J. Prakash is a highly accomplished academic in Mathematical Physics with a strong dedication to research, teaching, and innovation. His expertise in Mathematical Physics spans fluid dynamics, partial differential equations, numerical analysis, and fractional differential equations. With years of valuable academic service, he has contributed extensively to Mathematical Physics education and research through advanced theoretical and computational studies. His role as an educator and mentor has strengthened Mathematical Physics understanding among students and peers. He has published numerous impactful papers in Mathematical Physics journals and participated in national and international academic events. His contributions reflect a deep commitment to the advancement of Mathematical Physics as both a discipline and a tool for addressing complex real-world challenges.

Professional Profiles

Scopus Profile | ORCID Profile

Education 

Assist. Prof. Dr. J. Prakash holds an exceptional academic foundation built upon a passion for Mathematical Physics. His journey began with undergraduate and postgraduate degrees focused on Mathematics, providing a strong basis for Mathematical Physics exploration. He pursued higher research qualifications, including an M.Phil. and Ph.D., where Mathematical Physics concepts played a central role in his investigations of fluid dynamics, nanofluids, and external effects on peristaltic motion. His education reflects a deliberate integration of Mathematical Physics with practical and theoretical problem-solving. Through rigorous academic training, he has developed deep analytical, numerical, and computational skills, enabling significant contributions to Mathematical Physics. His academic path highlights a commitment to excellence and a lifelong dedication to advancing Mathematical Physics knowledge.

Experience 

Assist. Prof. Dr. J. Prakash brings extensive professional experience in Mathematical Physics through years of teaching and research across multiple institutions. His career includes academic roles that integrate Mathematical Physics in engineering and applied sciences curricula. He has worked on projects applying Mathematical Physics to fluid dynamics, heat transfer, and nanotechnology-driven systems, providing real-world insights to theoretical frameworks. His academic journey includes positions of responsibility, mentorship, and leadership, where Mathematical Physics principles have guided curriculum development, research supervision, and interdisciplinary collaboration. He has also acted as a resource person, technical session chair, and contributor to academic quality programs, ensuring Mathematical Physics remains at the forefront of innovative scientific education and research excellence in institutional and broader academic contexts.

Research Interest 

Assist. Prof. Dr. J. Prakash has diverse research interests rooted in Mathematical Physics, focusing on advanced fluid dynamics, heat and mass transfer, nanofluid systems, and electro-magneto-hydrodynamics. His Mathematical Physics studies explore both theoretical modeling and computational simulations, revealing novel insights into peristaltic motion, fractional differential equations, and complex flow behavior. The integration of Mathematical Physics with emerging technologies such as energy systems, biomedical flows, and smart fluidic devices underscores the practical relevance of his work. By addressing contemporary challenges through Mathematical Physics-based problem-solving, his research provides pathways to technological innovation. His efforts strengthen the link between fundamental Mathematical Physics theory and applied sciences, contributing to academic growth and industrial advancements simultaneously in innovative and impactful ways.

Award and Honor

Assist. Prof. Dr. J. Prakash has received multiple awards and honors for his contributions to Mathematical Physics, reflecting international recognition of his impactful research and academic excellence. His recognition as one of the top 2% scientists globally highlights his exceptional Mathematical Physics achievements and influential publications. He has been trusted with responsibilities such as examination supervision, technical session chairing, and academic board memberships, showcasing leadership in Mathematical Physics communities. Invitations as a resource person in seminars and conferences further demonstrate respect for his Mathematical Physics expertise. His awards validate his dedication to expanding Mathematical Physics knowledge while inspiring peers and students. These honors collectively confirm his enduring influence on the progress of Mathematical Physics across diverse academic and practical fields.

Research Skill

Assist. Prof. Dr. J. Prakash possesses exceptional research skills in Mathematical Physics, combining theoretical analysis, computational modeling, and interdisciplinary problem-solving. His Mathematical Physics research integrates advanced mathematical techniques with practical engineering and scientific challenges. Skilled in MATLAB, MATHEMATICA, and MAPLE, he applies computational tools to complex Mathematical Physics systems, enabling accurate simulation and prediction of phenomena. His expertise includes analytical derivation, stability analysis, and optimization within Mathematical Physics frameworks. By translating sophisticated Mathematical Physics models into real-world solutions, he contributes to technological innovation. His research proficiency extends to collaborative projects, publications, and mentoring, fostering future scholars capable of advancing Mathematical Physics further. His methodological precision ensures impactful and reproducible results, strengthening the reliability and scope of Mathematical Physics research.

Publication Top Notes 

Title: Computation of magnetohydrodynamic electro-osmotic modulated rotating squeezing flow with zeta potential effects
Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects
Authors: Balaji, R.; Prakash, J.; Tripathi, Dharmendra; Beg, O. Anwar
Year: 2022

Title: Electroosmotic modulated unsteady squeezing flow with temperature-dependent thermal conductivity, electric and magnetic field effects
Journal: Journal of Physics: Condensed Matter
Authors: Prakash, J.; Tripathi, Dharmendra; Beg, O. Anwar; Sharma, Ravi Kumar
Year: 2022

Title: Impact of the electromagnetic flow of an MHD Casson fluid over an oscillating porous plate
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2022

Title: Insight into Newtonian fluid flow and heat transfer in vertical microchannel subject to rhythmic membrane contraction due to pressure gradient and buoyancy forces
Journal: International Journal of Heat and Mass Transfer
Authors: Bhandari, D. S.; Tripathi, Dharmendra; Prakash, J.
Year: 2022

Title: Numerical analysis of electromagnetic squeezing flow through a parallel porous medium plate with impact of suction/injection
Journal: Waves in Random and Complex Media
Authors: Jayavel, Prakash; Katta, Ramesh; Lodhi, Ram Kishun
Year: 2022

Title: Tangent hyperbolic non-Newtonian radiative bioconvection nanofluid flow from a bi-directional stretching surface with electro-magneto-hydrodynamic, Joule heating and modified diffusion effects
Journal: The European Physical Journal Plus
Authors: Prakash, J.; Tripathi, Dharmendra; Akkurt, Nevzat; Beg, O. Anwar
Year: 2022

Title: Thermo-electrokinetic rotating non-Newtonian hybrid nanofluid flow from an accelerating vertical surface
Journal: Heat Transfer
Authors: Jayavel, Prakash; Tripathi, Dharmendra; Beg, O. Anwar; Tiwari, Abhishek Kumar; Kumar, Rakesh
Year: 2022

Title: A study of electro-osmotic and magnetohybrid nanoliquid flow via radiative heat transfer past an exponentially accelerated plate
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2021

Title: Heat and mass transfer effect of a Magnetohydrodynamic Casson fluid flow in the presence of inclined plate
Journal: Indian Journal of Pure and Applied Physics
Authors: Vijayaragavan, R.; Bharathi, V; Prakash, J.
Year: 2021

Title: Impact of electroosmotic flow on a Casson fluid driven by chemical reaction and convective boundary conditions
Journal: Heat Transfer
Authors: Rajaram, Vijayaragavan; Varadharaj, Bharathi; Jayavel, Prakash
Year: 2021

Conclusion

Assist. Prof. Dr. J. Prakash exemplifies excellence in Mathematical Physics through consistent contributions to education, research, and innovation. His dedication to Mathematical Physics has produced impactful publications, guided students, and advanced interdisciplinary collaboration. Through his expertise, Mathematical Physics has been applied to solve complex scientific and engineering problems, bridging theoretical mathematics with practical technologies. His academic journey reflects a lifelong commitment to expanding the horizons of Mathematical Physics while maintaining its relevance to evolving industrial and academic needs. His recognition among top global scientists underscores the significance of his Mathematical Physics achievements, positioning him as a leader whose work continues to inspire, influence, and drive advancements in the interconnected realms of mathematics, physics, and applied sciences.

Dr. Iulia Antohe | Particle Experiments | Best Researcher Award

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Dr. Iulia Antohe | Particle Experiments | Best Researcher Award

Scientific Researcher at National Institute for Lasers, Plasma and Radiation Physics | Romania

Dr. Iulia Antohe is a dedicated scientist working in the field of lasers, plasmonics, and nanomaterials with strong expertise in Particle Experiments. She has developed advanced biosensors and sensors for healthcare, environmental, and industrial applications. Her Particle Experiments research integrates physics, chemistry, and engineering to design fiber optic and surface plasmon resonance systems. Through extensive collaborations, she advances innovative solutions for diagnostics and sensing platforms. Her Particle Experiments contributions strengthen interdisciplinary innovation. With a background in bioscience engineering, physics, and nanotechnology, Dr. Iulia Antohe combines analytical skills and creativity to address complex scientific challenges through Particle Experiments with real-world impact.

Professional Profiles

Google Scholar Profile | ORCID Profile

Education 

Dr. Iulia Antohe has a strong academic background with achievements rooted in Particle Experiments. She holds a Ph.D. in Bioscience Engineering from KU Leuven, focusing on fiber optic surface modifications for improved plasmonic biosensing. Her education includes master and bachelor programs in physics with emphasis on nanostructures, optoelectronics, and medical physics. She gained international experience through visiting research roles in Spain and Belgium, enhancing her understanding of Particle Experiments in nanoscience and bioengineering. This educational pathway developed her expertise in synthesis, characterization, and application of nanomaterials, preparing her to contribute advanced Particle Experiments approaches to modern sensing and diagnostic technologies.

Experience 

Dr. Iulia Antohe has extensive professional experience in Particle Experiments within advanced laser and biosensor research. At the National Institute for Lasers, Plasma and Radiation Physics, she progressed from early-stage researcher to senior scientific researcher. Her roles include development of FO-SPR sensors, gas sensors, and biofunctionalized nanomaterials, combining multidisciplinary Particle Experiments with biomedical, environmental, and industrial objectives. She managed national and international projects, supervised students, and authored impactful publications. Her earlier work as a Marie Curie fellow in Belgium strengthened her expertise in biosensing and assay development. Through Particle Experiments, she continues to advance cutting-edge sensor technologies and contribute to the global scientific community.

Research Interest 

Dr. Iulia Antohe’s research interests center around Particle Experiments in sensors, nanomaterials, and plasmonic platforms. She explores the synthesis and functionalization of magnetic and gold particles, integrating them into fiber optic systems for healthcare diagnostics, food safety, and environmental monitoring. Her Particle Experiments expand into bioassay development, polymer-based sensing, and hybrid material applications. She is dedicated to bridging the gap between fundamental research and applied technologies, making Particle Experiments vital for innovative solutions. This includes advanced optical fiber plasmonic sensors, responsive polymers, and smart diagnostic platforms that support rapid, sensitive, and reliable measurements across multiple scientific and industrial domains.

Award and Honor

Dr. Iulia Antohe has received multiple awards and honors recognizing her Particle Experiments excellence. Among them are Best Poster Awards at international conferences, Young Scientist Awards, and special mentions for outstanding research contributions. She has been honored as an IOP Outstanding Reviewer for Nanotechnology and Materials Research Express, acknowledging her leadership in scientific quality. Her Particle Experiments-based projects received funding from prestigious institutions, including L’Oréal-UNESCO for Women in Science. These recognitions validate her commitment to advancing knowledge through Particle Experiments and highlight her role as a prominent contributor in multidisciplinary scientific research communities worldwide.

Research Skill

Dr. Iulia Antohe possesses a versatile set of research skills tailored for Particle Experiments innovation. She is proficient in nanomaterial synthesis, including gold and magnetic particles, thin-film deposition, and polymer coatings. Her analytical skills cover structural, morphological, electrical, and optical characterization essential for advanced Particle Experiments. She excels in biosensor design, fiber optic integration, and assay optimization for medical and environmental diagnostics. Project management, scientific writing, mentoring, and international collaboration further strengthen her Particle Experiments impact. Her ability to translate fundamental findings into applied sensing technologies reflects her technical precision, innovation, and leadership in complex multidisciplinary research environments.

Publication Top Notes 

Title: Smart design of fiber optic surfaces for improved plasmonic biosensing
Journal: New Biotechnology
Authors: I Arghir, F Delport, D Spasic, J Lammertyn
Citation: 90

Title: Improved surface plasmon resonance biosensing using silanized optical fibers
Journal: Sensors and Actuators B: Chemical
Authors: I Arghir, D Spasic, BE Verlinden, F Delport, J Lammertyn
Citation: 63

Title: A polyaniline/platinum coated fiber optic surface plasmon resonance sensor for picomolar detection of 4-nitrophenol
Journal: Scientific Reports
Authors: I Antohe, I Iordache, VA Antohe, G Socol
Citation: 42

Title: Nanoscale patterning of gold-coated optical fibers for improved plasmonic sensing
Journal: Nanotechnology
Authors: I Antohe, D Spasic, F Delport, J Li, J Lammertyn
Citation: 42

Title: Thermal annealing of gold coated fiber optic surfaces for improved plasmonic biosensing
Journal: Sensors and Actuators B: Chemical
Authors: I Antohe, K Schouteden, P Goos, F Delport, D Spasic, J Lammertyn
Citation: 41

Title: Cadmium ions’ trace-level detection using a portable fiber optic—Surface plasmon resonance sensor
Journal: Biosensors
Authors: BG Şolomonea, LI Jinga, VA Antohe, G Socol, I Antohe
Citation: 32

Title: Sensitive pH Monitoring Using a Polyaniline-Functionalized Fiber Optic—Surface Plasmon Resonance Detector
Journal: Sensors
Authors: I Antohe, LI Jinga, VA Antohe, G Socol
Citation: 29

Title: Transparent indium zinc oxide thin films used in photovoltaic cells based on polymer blends
Journal: Thin Solid Films
Authors: C Besleaga, L Ion, V Ghenescu, G Socol, A Radu, I Arghir, C Florica, ...
Citation: 25

Title: Synthesis and anti-melanoma activity of L-cysteine-coated iron oxide nanoparticles loaded with doxorubicin
Journal: Nanomaterials
Authors: LI Toderascu, LE Sima, S Orobeti, PE Florian, M Icriverzi, VA Maraloiu, ...
Citation: 22

Title: Production and characterization of CdTe wire arrays for hybrid inorganic/organic photovoltaic cells
Journal: Digest Journal of Nanomaterials and Biostructures
Authors: C Florica, I Arghir, L Ion, I Enculescu, VA Antohe, A Radu, M Radu, ...
Citation: 15

Title: Study of a new composite based on SnO2 nanoparticles—P3HT: PC71BM co-polymer blend, used as potential absorber in bulk heterojunction photovoltaic cells
Journal: Materials Today Communications
Authors: AI Radu, VA Antohe, S Iftimie, I Antohe, M Filipescu, A Radu, D Coman, ...
Citation: 10

Title: Study of electrical and optical properties of ITO/PEDOT/P3HT: PCBM (1: 1)/LiF/Al photovoltaic structures
Journal: Journal of Optoelectronics and Advanced Materials
Authors: S Iftimie, A Majkic, C Besleaga, VA Antohe, A Radu, M Radu, I Arghir, ...
Citation: 8

Title: Morphological, Optical and Electrical Properties of RF-Sputtered Zinc Telluride Thin Films for Electronic and Optoelectronic Applications
Journal: AIP Advances
Authors: A.M. Panaitescu, I. Antohe, A.M. Răduță, S. Iftimie, Ș. Antohe, C.N ...
Citation: 7

Title: Aluminum doped zinc oxide nanoplatelets based sensor with enhanced hydrogen sulfide detection
Journal: Scientific Reports
Authors: B Ydir, A Ajdour, I Antohe, G Socol, M Socol, LI Toderascu, D Saadaoui, ...
Citation: 5

Title: Effect of the cadmium telluride deposition method on the covering degree of electrodes based on copper nanowire arrays
Journal: Applied Sciences
Authors: AM Panaitescu, I Antohe, C Locovei, S Iftimie, Ş Antohe, L Piraux, ...
Citation: 5

Title: Shaping in the Third Direction; Fabrication of Hemispherical Micro-Concavity Array by Using Large Size Polystyrene Spheres as Template for Direct Self-Assembly of Small Size …
Journal: Polymers
Authors: I Sandu, CT Fleaca, F Dumitrache, BA Sava, I Urzica, I Antohe, ...
Citation: 5

Title: Shaping in the Third Direction; Synthesis of Patterned Colloidal Crystals by Polyester Fabric-Guided Self-Assembly
Journal: Polymers
Authors: I Sandu, CT Fleaca, F Dumitrache, BA Sava, I Urzica, I Antohe, ...
Citation: 5

Title: Shaping in the Third Direction: Self-Assembly of Convex Colloidal Photonic Crystals on an Optical Fiber Tip by Hanging Drop Method
Journal: Polymers
Authors: I Sandu, I Antohe, CT Fleaca, F Dumitrache, I Urzica, S Brajnicov, ...
Citation: 4

Title: Cobalt ions detection using an evanescent wave optical fiber sensor
Journal: Romanian Reports in Physics
Authors: I Antohe
Citation: 4

Title: Mechanism of nonpolar model substances to inhibit primary gushing induced by hydrophobin HFBI
Journal: Journal of Agricultural and Food Chemistry
Author(s): Z Shokribousjein, D Riveros Galan, P Losada-Pérez, P Wagner, ...
Citation: 4

Conclusion

Dr. Iulia Antohe’s career exemplifies excellence in Particle Experiments through education, research, and innovation. Her work integrates advanced physics, materials science, and engineering to create impactful sensor technologies addressing real-world challenges. Her Particle Experiments contributions enhance healthcare diagnostics, environmental monitoring, and food safety systems. With international training, project leadership, and recognized expertise, she stands out as a scientist who bridges fundamental discovery with applied solutions. The consistent integration of Particle Experiments in her work reflects a commitment to progress, collaboration, and scientific integrity, ensuring that her contributions will continue to influence and inspire future developments in modern sensing technologies.

Dr. R. Dinesh | Engineering | Best Researcher Award

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Dr. R. Dinesh | Engineering | Best Researcher Award

Professor at HKBK college of Engineering | India

Dr. R. Dinesh has built a distinguished career in Engineering, merging academic excellence with practical expertise. His work spans VLSI design, optical communication, wireless networks, and digital systems. With extensive Engineering experience in teaching, research, and industrial projects, he has guided numerous Engineering students and contributed to international journals and conferences. His Engineering career highlights patents, books, and impactful innovations. He has been actively involved in Engineering workshops, seminars, and technical committees, showcasing leadership in advancing Engineering knowledge and bridging academia with cutting-edge technology applications.

Professional Profile

Google Scholar Profile 

Education 

Dr. R. Dinesh’s Engineering education reflects deep specialization across multiple domains. He earned a Ph.D. in VLSI Design, building strong foundations in Engineering research and digital systems innovation. He further enhanced his Engineering expertise through a Master of Engineering in Optical Communication and a Bachelor of Engineering in Electronics and Communication. He also holds an MBA, enriching his Engineering leadership and management skills. This robust Engineering academic background has empowered him to contribute meaningfully to both theoretical and applied aspects of Engineering across diverse platforms and collaborations.

Experience 

Dr. R. Dinesh has over two decades of Engineering experience, combining academic positions with industrial roles. He served as Professor, Head of Department, and coordinator in several Engineering colleges across Tamil Nadu and Kerala, driving academic excellence. His Engineering contributions include supervising VLSI, communication, and IoT projects, acting as a reviewer for IEEE and international journals, and advancing Engineering education through curriculum design. In industry, he worked on FPGA platforms, audio codecs, and embedded controllers, applying Engineering principles to real-world challenges and ensuring knowledge transfer between academia and industry.

Research Interest 

Dr. R. Dinesh’s Engineering research interests focus on VLSI design, wireless communication, IoT systems, FPGA architecture, and low-power ADPLL implementations. His Engineering studies address efficiency, precision, and optimization in digital circuits, supporting next-generation technologies. He continuously explores Engineering challenges like frequency resolution, power reduction, and hardware utilization, contributing to advancements in modern communication systems. His Engineering publications demonstrate innovation and practical value, influencing both theoretical models and industrial solutions in contemporary Engineering domains of national and international relevance.

Award and Honor

Dr. R. Dinesh has been honored for outstanding Engineering contributions, including Best Faculty Awards and recognition for delivering excellent academic results in complex Engineering subjects. He has guided multiple Engineering-based projects, delivered invited lectures, and reviewed high-impact Engineering conferences and journals. His Engineering achievements extend to patents in IoT, virtual reality, renewable energy, and digital systems. These honors reflect his sustained Engineering excellence, dedication to education, and commitment to innovation, solidifying his reputation as a respected leader in Engineering education and applied technology development.

Research Skill

Dr. R. Dinesh demonstrates strong Engineering research skills, integrating analytical thinking, design verification, and practical prototyping. His expertise spans HDL languages, EDA tools, and system-level Engineering design. He has mastered simulation, synthesis, and hardware testing in Engineering environments, ensuring reliable outcomes. His research blends theoretical frameworks with Engineering experimentation, producing valuable insights for academic and industrial growth. Through publications, patents, and collaborative projects, he contributes high-level Engineering knowledge while fostering innovation among students and peers in rapidly evolving technological landscapes.

Publication Top Notes 

Title: A survey about WSN and IoT based health care applications and ADPLL contribution for health care systems
Journal: 2019 IEEE 10th International Conference on Awareness Science and Technology
Authors: R Dinesh, R Marimuthu

Title: A Survey on ADPLL Components and their effects upon Power, Frequency and Resolution
Journal: International Journal of Applied Engineering Research
Authors: R Dinesh, R Marimuthu

Title: A wide range high resolution digital controlled oscillator with high precision time to digital convertor for optimal sampling digital PLL
Journal: Microprocessor and Micro Systems
Authors: R Dinesh

Title: GINSER: Geographic Information System Based Optimal Route Recommendation via Optimized Faster R-CNN
Journal: International Journal of Computational Intelligence Systems
Authors: SD Anitha Selvasofia, B SivaSankari, R Dinesh, N Muthukumaran

Title: An analysis of ADPLL applications in various fields
Journal: Indonesian Journal of Electrical Engineering and Computer Science
Authors: DR R. Dinesh

Title: Comparison of Two ADPLL Structures for IoT Applications
Journal: 2019 International Conference on Recent Advances in Energy-efficient Computing and Communication
Authors: R Dinesh, R Marimuthu

Title: M-DODGE: Mutation Based Dragon Fly Optimized Deep Learning Model for Congestion Control in MANET
Journal: IETE Journal of Research
Authors: R Dinesh, A Ahilan, N Muthukumaran, S Gladson

Title: MANC NET: Multitude Active Noise cancellation using Improved Optimized CNN-ALSTM Network
Journal: Journal of Circuits, Systems and Computers
Authors: AA V. D. M. Jabez Daniel, R. Dinesh, R. Manjith

Title: Aerial image segmentation using auto encoders and nonDominated sorted genetic algorithm-II enhanced by nonLinear analysis
Journal: Journal of Computational Analysis & Applications
Authors: S Subramanian, M Kavitha, R Dinesh, SS Banu, AK Kaushal

Title: Semantic segmentation and content based retrieval in multimedia image databases
Journal: ICTACT Journal on Image and Video Processing
Authors: R Dinesh

Conclusion

Dr. R. Dinesh’s career demonstrates dedication to Engineering education, research, and innovation. His Engineering journey combines technical depth with leadership, empowering future engineers and advancing academic programs. Through impactful publications, patents, and industry collaborations, he continues to strengthen Engineering practices, contributing to both technological growth and societal benefit. His Engineering expertise remains an asset to institutions, research networks, and industries seeking reliable, efficient, and forward-thinking solutions in complex digital and communication systems of modern Engineering.

Prof. Dr. Sonja Veljovic Jovanovic | Applied Psychology in Science | Best Researcher Award

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Prof. Dr. Sonja Veljovic Jovanovic | Applied Psychology in Science | Best Researcher Award

Research Professor at University of Belgrade | Serbia

Prof. Dr. Sonja Veljovic Jovanovic is widely recognized for her pioneering research in plant stress physiology, with a strong connection to Applied Psychology in Science. Her studies integrate antioxidative metabolism and plant-environment interactions to improve tolerance to abiotic and biotic stress. Applied Psychology in Science principles are embedded in her approach to signaling pathways, convergence of primary and secondary metabolism, and environmental priming. As a leading figure in multidisciplinary plant biology, she has contributed significantly to international collaborations, advancing knowledge that bridges biochemistry, physiology, and practical environmental solutions. Applied Psychology in Science informs her innovative methodologies, international leadership, and impactful publications, ensuring her work remains highly relevant in addressing global agricultural and ecological challenges through modern Applied Psychology in Science concepts.

Professional Profile

Google Scholar Profile | ORCID Profile 

Education 

Prof. Dr. Sonja Veljovic Jovanovic completed her academic training in biology with specialization in molecular biology, physiology, and plant physiology. Her educational path reflects a deep integration of Applied Psychology in Science within biological systems, emphasizing molecular mechanisms behind stress responses. She gained her bachelor’s, master’s, and doctoral qualifications at the University of Belgrade, focusing on the biochemical and physiological foundations of plant antioxidative metabolism. Applied Psychology in Science is seen in her ability to combine molecular-level understanding with system-wide plant responses. Through rigorous academic development, she cultivated expertise that allows integration of theoretical frameworks with practical, real-world challenges in plant stress biology, redox signaling, and resilience, guided consistently by Applied Psychology in Science.

Experience 

Prof. Dr. Sonja Veljovic Jovanovic has extensive professional experience across multiple research institutions and universities. She has served as a research assistant, associate professor, and later a research professor at the Institute for Multidisciplinary Research, University of Belgrade. Her professional trajectory reflects a consistent application of Applied Psychology in Science to complex plant-environment systems. She has led national and international projects, integrating fundamental biochemical studies with applied agricultural and environmental research. Applied Psychology in Science underpins her leadership in multidisciplinary collaborations, mentorship of students, and development of innovative techniques. Her positions in academia and research demonstrate a balance between advancing theoretical insights and implementing findings in practical, ecophysiological solutions guided by Applied Psychology in Science.

Research Interest 

Prof. Dr. Sonja Veljovic Jovanovic’s research interest centers on plant antioxidative defense mechanisms, redox signaling, and tolerance to abiotic and biotic stress. These areas intersect with Applied Psychology in Science by linking plant physiological responses to broader environmental and societal contexts. She investigates how priming via UV, drought, or elicitors modulates antioxidative systems, improving plant acclimatization. Applied Psychology in Science plays a role in connecting molecular mechanisms with ecological adaptation strategies. Her studies aim to identify convergence points between primary and secondary metabolism, critical for understanding signaling pathways. This integration of biochemical, physiological, and environmental sciences highlights her ability to apply Applied Psychology in Science for sustainable agriculture and ecological resilience.

Award and Honor

Prof. Dr. Sonja Veljovic Jovanovic has received numerous awards and honors recognizing her contributions to plant stress physiology and multidisciplinary science. Her achievements highlight leadership in integrating biochemical research with practical solutions, a principle deeply aligned with Applied Psychology in Science. Recognitions stem from her extensive publications, international collaborations, and impactful project leadership. Applied Psychology in Science is evident in her approach to academic excellence, innovation in teaching, and development of methodologies influencing both local and global scientific communities. These honors reflect not only her scientific depth but also her commitment to knowledge translation and problem-solving within the evolving framework of Applied Psychology in Science, inspiring the next generation of plant and environmental scientists.

Research Skill

Prof. Dr. Sonja Veljovic Jovanovic possesses advanced research skills in chloroplast and cell wall isolation, characterization of antioxidative enzymes, and redox biochemistry. Applied Psychology in Science informs her capacity to integrate experimental methods with theoretical insight, bridging molecular, cellular, and environmental levels. She is skilled in electron paramagnetic resonance spectroscopy, spectrophotometry, HPLC, and isoenzyme profiling, enabling precise analysis of antioxidative systems. Applied Psychology in Science is embedded in her methodological versatility, enhancing the interpretation of plant stress responses. These technical competencies allow her to design and execute multidisciplinary research, applying Applied Psychology in Science principles to generate knowledge with both fundamental and practical value, contributing to resilient agricultural and ecological strategies.

Publication Top Notes 

Title: Drought and Oxidative Load in the Leaves of C3 Plants: a Predominant Role for Photorespiration?
Journal: Annals of Botany 89 (7), 841-850
Authors: G Noctor, S Veljovic‐Jovanovic, S Driscoll, L Novitskaya, CH Foyer
Citation: 836

Title: Leaf vitamin C contents modulate plant defense transcripts and regulate genes that control development through hormone signaling
Journal: The Plant Cell 15 (4), 939-951
Authors: GM Pastori, G Kiddle, J Antoniw, S Bernard, S Veljovic-Jovanovic, ...
Citation: 714

Title: Low ascorbic acid in the vtc-1 mutant of Arabidopsis is associated with decreased growth and intracellular redistribution of the antioxidant system
Journal: Plant Physiology 127 (2), 426-435
Authors: SD Veljovic-Jovanovic, C Pignocchi, G Noctor, CH Foyer
Citation: 355

Title: Peroxide processing in photosynthesis: antioxidant coupling and redox signalling
Journal: Philosophical Transactions of the Royal Society of London. Series B …
Authors: G Noctor, S Veljovic-Jovanovic, CH Foyer
Citation: 320

Title: Are leaf hydrogen peroxide concentrations commonly overestimated? The potential influence of artefactual interference by tissue phenolics and ascorbate
Journal: Plant Physiology and Biochemistry 40 (6-8), 501-507
Authors: S Veljovic-Jovanovic, G Noctor, CH Foyer
Citation: 271

Title: Senescence-and drought-related changes in peroxidase and superoxide dismutase isoforms in leaves of Ramonda serbica
Journal: Journal of Experimental Botany 57 (8), 1759-1768
Authors: S Veljovic-Jovanovic, B Kukavica, B Stevanovic, F Navari-Izzo
Citation: 155

Title: Effect of oleic acid concentration on the physicochemical properties of cobalt ferrite nanoparticles
Journal: The Journal of Physical Chemistry C 118 (25), 13844-13856
Authors: S Jovanović, M Spreitzer, M Tramšek, Z Trontelj, D Suvorov
Citation: 137

Title: Senescence‐related changes in the antioxidant status of ginkgo and birch leaves during autumn yellowing
Journal: Physiologia Plantarum 122 (3), 321-327
Authors: B Kukavica, SV Jovanovic
Citation: 126

Title: Zinc‐induced oxidative stress in Verbascum thapsus is caused by an accumulation of reactive oxygen species and quinhydrone in the cell wall
Journal: Physiologia plantarum 140 (3), 209-224
Authors: F Morina, L Jovanovic, M Mojovic, M Vidovic, D Pankovic, ...
Citation: 120

Title: Generation of hydroxyl radical in isolated pea root cell wall, and the role of cell wall-bound peroxidase, Mn-SOD and phenolics in their production
Journal: Plant and Cell Physiology 50 (2), 304-317
Authors: B Kukavica, M Mojović, Ž Vucčinić, V Maksimović, U Takahama, ...
Citation: 108

Title: Class III peroxidases: functions, localization and redox regulation of isoenzymes
Journal: Antioxidants and antioxidant enzymes in higher plants, 269-300
Authors: S Veljović Jovanović, B Kukavica, M Vidović, F Morina, L Menckhoff
Citation: 106

Title: Leaf soluble sugars and free amino acids as important components of abscisic acid—Mediated drought response in tomato
Journal: Plants 9 (9), 1147
Authors: B Živanović, S Milić Komić, T Tosti, M Vidović, L Prokić, ...
Citation: 89

Title: Cell wall-bound cationic and anionic class III isoperoxidases of pea root: biochemical characterization and function in root growth
Journal: Journal of experimental botany 63 (12), 4631-4645
Authors: BM Kukavica, SD Veljovicć-Jovanovicć, L Menckhoff, S Lüthje
Citation: 81

Title: Ultraviolet‐B component of sunlight stimulates photosynthesis and flavonoid accumulation in variegated Plectranthus coleoides leaves depending on background …
Journal: Plant, Cell & Environment 38 (5), 968-979
Authors: M Vidović, F Morina, S Milić, B Zechmann, A Albert, JB Winkler, ...
Citation: 67

Title: Characterization of polyphenol oxidase changes induced by desiccation of Ramonda serbica leaves
Journal: Physiologia Plantarum 132 (4), 407-416
Authors: S Veljovic‐Jovanovic, B Kukavica, F Navari‐Izzo
Citation: 67

Title: Chlorophyll bleaching by UV-irradiation in vitro and in situ: Absorption and fluorescence studies
Journal: Radiation Physics and Chemistry 78 (1), 25-32
Authors: J Zvezdanović, T Cvetić, S Veljović-Jovanović, D Marković
Citation: 62

Title: Biochemical and quantitative proteomics investigations in Arabidopsis ggt1 mutant leaves reveal a role for the gamma‐glutamyl cycle in plant's adaptation to …
Journal: Proteomics 13 (12-13), 2031-2045
Authors: S Tolin, G Arrigoni, AR Trentin, S Veljovic‐Jovanovic, M Pivato, ...
Citation: 59

Title: Carbon allocation from source to sink leaf tissue in relation to flavonoid biosynthesis in variegated Pelargonium zonale under UV-B radiation and high PAR intensity
Journal: Plant Physiology and Biochemistry 93, 44-55
Authors: M Vidović, F Morina, S Milić, A Albert, B Zechmann, T Tosti, JB Winkler, ...
Citation: 55

Title: Wheat straw conversion by enzymatic system of Ganoderma lucidum
Journal: BioResources 4 (5), 2362-2373
Authors: M Stajić, B Kukavica, J Vukojevic, J Ćilerdžić, S Veljović-Jovanović, ...
Citation: 45

Title: Inhibition of photosynthesis, acidification and stimulation of zeaxanthin formation in leaves by sulfur dioxide and reversal of these effects
Journal: Planta 191 (3), 365-376
Authors: S Veljovic-Jovanovic, W Bilger, U Heber
Citation: 45

Conclusion

Prof. Dr. Sonja Veljovic Jovanovic represents a leading figure in plant physiology research, combining rigorous biochemical understanding with broad ecological and agricultural relevance. Applied Psychology in Science defines her approach, ensuring that theoretical insights contribute to practical solutions. Her career illustrates a balance of innovation, mentorship, and global collaboration. Applied Psychology in Science strengthens the translational impact of her findings, fostering resilience in plant systems under stress. Her leadership continues to guide multidisciplinary research, integrating redox biology with environmental sustainability. Through persistent application of Applied Psychology in Science, she contributes significantly to the advancement of science and society, ensuring plant biology remains at the forefront of global environmental adaptation strategies.

Ms. Zahra Sabet-Bokati | Engineering | Best Researcher Award

Published on by Physicist Particle

Ms. Zahra Sabet-Bokati | Engineering | Best Researcher Award

Researcher at University of Shiraz | Iran

Ms. Zahra Sabet-Bokati is a dedicated professional in Materials Engineering with expertise in polymeric nanofibers, biomedical Engineering, and tissue Engineering. Her academic and research journey reflects a strong focus on developing advanced Engineering solutions through synthesis, fabrication, and material characterization. She integrates Engineering concepts with practical applications, especially in the fields of electrospinning and scaffold design. Her contribution to Engineering publications highlights innovation and problem-solving skills within the Engineering community. By combining scientific rigor with Engineering creativity, she has positioned herself as a valuable contributor to the advancement of materials Engineering, constantly striving to bridge the gap between theoretical research and practical Engineering applications that impact health and industrial progress in the field of modern Engineering.

Professional Profile

Google Scholar Profile 

Education 

Ms. Zahra Sabet-Bokati has pursued her academic career with a strong focus on Materials Engineering at Shiraz University. Her bachelor’s and master’s degrees in Materials Engineering have been centered around biomedical and tissue Engineering research, especially using electrospinning techniques. Her master’s thesis explored the impact of reduced graphene oxide on polycaprolactone-polypyrrole scaffolds, enhancing Engineering knowledge in composite structures and polymeric systems. This educational background highlights her Engineering foundation, preparing her to tackle complex Engineering challenges. Throughout her studies, Ms. Zahra Sabet-Bokati engaged deeply in Engineering problem-solving, experimental design, and material synthesis. Her solid Engineering education ensures she is equipped to translate fundamental concepts into innovative Engineering solutions with significant impact on applied Engineering research.

Experience 

Ms. Zahra Sabet-Bokati brings valuable Engineering professional experience through academic projects, research collaborations, and industrial practice in Materials Engineering. Her work includes synthesizing nanoparticles, electrospinning conductive scaffolds, and participating in corrosion inhibitor development projects. These roles demanded Engineering problem-solving, precision, and adaptability in diverse Engineering environments. She worked with Arca Asia Industries Research Company, applying Engineering methodologies to nanoparticle synthesis, showing her ability to transfer Engineering knowledge into industrial contexts. Her teamwork in national elite projects demonstrated Engineering leadership, communication, and innovation. This combination of academic and industrial Engineering experience enables her to navigate challenges and develop high-impact Engineering solutions across biomedical, corrosion, and material design Engineering sectors.

Research Interest 

Ms. Zahra Sabet-Bokati’s Engineering research interests include polymeric nanofibers, electrospinning technologies, and conductive polymer-based scaffolds for biomedical Engineering applications. Her focus on scaffold fabrication connects advanced Materials Engineering with health-related Engineering innovations. She explores ways to enhance physical, chemical, and mechanical properties of polymers through Engineering-driven approaches. Interests in electrically conductive polymers and anticorrosion coatings demonstrate her versatility within Engineering research fields, combining medical and industrial Engineering relevance. She aims to contribute to next-generation biomaterials and functional coatings through Engineering design, synthesis, and characterization. By bridging theoretical and experimental Engineering methods, Ms. Zahra Sabet-Bokati seeks to create sustainable, high-performance solutions for real-world Engineering challenges.

Award and Honor

Ms. Zahra Sabet-Bokati has earned multiple Engineering-related awards recognizing her academic and research excellence in Materials Engineering. She ranked among the top students in her Engineering classes and received merit-based admission into advanced Engineering programs. Her master’s thesis was awarded Best Thesis in Materials Engineering, acknowledging the quality, originality, and impact of her Engineering research. Such achievements illustrate her consistent pursuit of Engineering advancement and professional distinction. Recognition from her peers and institutions underscores her capability to produce Engineering innovations that address modern technological needs. These honors reinforce her reputation as an emerging leader in Materials Engineering, inspiring further contributions to scientific and applied Engineering domains globally.

Research Skill

Ms. Zahra Sabet-Bokati possesses advanced Engineering research skills spanning synthesis, fabrication, and analysis of materials for biomedical and industrial Engineering use. She is proficient in electrospinning, nanoparticle synthesis, and mechanical testing, all crucial in modern Engineering laboratories. Her analytical expertise includes SEM, FTIR, Raman spectroscopy, and other Engineering characterization techniques. She integrates computational and statistical software, including Matlab and Design of Expert, to optimize Engineering experiments and analyze data effectively. These Engineering skills allow her to design innovative solutions, validate material properties, and contribute meaningfully to Engineering advancements. Combining theoretical understanding with hands-on Engineering abilities ensures her readiness to tackle complex research questions and develop impactful Engineering outcomes.

Publication Top Notes 

Title: Anticorrosion shape memory-assisted self-healing coatings: A review

Journal: Progress in Organic Coatings

Author: Z Sabet-Bokati, K Sabet-Bokati, Z Russell, K Morshed-Behbahani, ...

Year: 2024

Title: Study of the synergistic effect of electrospun fiber structure and PPy particles on the electrical conductivity and tensile strength of PCL-PVA-PPy fibers

Journal: Results in Engineering

Author: Z Sabet-Bokati, SM Zebarjad

Year: 2025

Title: Investigating the effect of poly-pyrrole and electrospinning parameters on polycaprolactone scaffold properties

Journal: Metallurgical Engineering

Author: SM Zebarjad, Z Sabet Bokati

Year: 2025

Conclusion

Ms. Zahra Sabet-Bokati exemplifies dedication, innovation, and expertise in the field of Materials Engineering. Through education, professional engagements, and impactful research, she advances Engineering knowledge with practical biomedical and industrial relevance. Her consistent focus on Engineering excellence ensures contributions that merge creativity with technical depth. The combination of academic achievement, recognized awards, and Engineering publications highlights her capacity to address modern challenges with innovative Engineering solutions. As Engineering continues to evolve globally, Ms. Zahra Sabet-Bokati stands poised to influence the field, fostering breakthroughs that benefit society, industry, and science through persistent Engineering inquiry, collaborative innovation, and visionary application of advanced Engineering principles.

Prof. Jijun Lu | Engineering | Best Researcher Award

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Prof. Jijun Lu | Engineering | Best Researcher Award

Prof at Kunming University of Science and Technology | China

Prof. Jijun Lu is a distinguished figure in Engineering, recognized for his innovative contributions to metallurgical Engineering, chemical Engineering, and energy material Engineering. His work integrates theoretical Engineering principles with practical solutions in silicon-based energy materials, photovoltaic recycling, and key metal metallurgy. As a Professor at Kunming University of Science and Technology, he combines Engineering research with impactful teaching. Prof. Jijun Lu has led numerous national and provincial Engineering projects, transferring technologies worth millions. With more than 40 peer-reviewed publications, including high-impact Engineering journals, his research continues to advance green and low-carbon metallurgy. He has received multiple awards for his Engineering excellence, making him a leader in modern metallurgical and energy materials Engineering worldwide.

Professional Profile

Scopus Profile | ORCID Profile 

Education 

Prof. Jijun Lu’s academic journey in Engineering reflects a commitment to excellence across multiple Engineering disciplines. He earned his Bachelor of Engineering in metallurgical Engineering at Kunming University of Science and Technology, where he developed strong foundational Engineering skills. He further advanced his expertise by completing a Doctor of Engineering degree at the Institute of Process Engineering, Chinese Academy of Sciences, specializing in chemical Engineering. His educational background emphasizes deep theoretical Engineering knowledge combined with practical applications in energy and metallurgy. Through rigorous academic training, he built a platform for innovative Engineering research. His education in Engineering prepared him to bridge traditional metallurgical Engineering with emerging challenges in sustainable and energy-efficient Engineering processes.

Experience 

Prof. Jijun Lu has accumulated extensive professional experience in Engineering, contributing to both academic and industrial Engineering development. At Kunming University of Science and Technology, he serves as a Professor in the College of Metallurgy and Energy Engineering, where he leads interdisciplinary Engineering research. He manages projects in silicon-based energy material preparation, photovoltaic waste recycling, and metal metallurgy, demonstrating practical Engineering leadership. His collaboration with industries brings advanced Engineering technologies into real-world production, particularly in high-end lithium-silicon-carbon anode materials. Prof. Jijun Lu’s role integrates Engineering education, research, and innovation, guiding students and researchers in advanced Engineering methodologies. His work reflects a unique combination of scientific rigor and applied Engineering innovation, supporting sustainable technological progress.

Research Interest 

Prof. Jijun Lu’s research interests revolve around advanced Engineering challenges in energy and metallurgy. He focuses on key metal metallurgy, secondary resource recycling, and the preparation of silicon-based energy materials, combining core Engineering principles with environmental responsibility. His Engineering studies target efficiency improvements, resource recovery, and low-carbon metallurgical processes. Prof. Jijun Lu is especially interested in how Engineering approaches can enhance photovoltaic recycling and energy storage solutions, aligning with global sustainability goals. His work in Engineering also emphasizes innovation in battery technologies and advanced anode material design. By bridging metallurgy and energy material Engineering, he provides solutions for next-generation technologies, ensuring Engineering remains at the forefront of industrial transformation and ecological advancement.

Award and Honor

Prof. Jijun Lu has received numerous awards that highlight his Engineering excellence, leadership, and innovation in metallurgical and energy-related Engineering. Recognized as a “Young Talent” in Yunnan Province, he earned prestigious awards including the Outstanding Young Talent Award for Green and Low-Carbon Metallurgy, Dean’s Excellence Award, and multiple national-level Engineering competition prizes. His guidance has led students to secure top positions in national and international Engineering competitions, demonstrating his mentorship in Engineering education. His recognition reflects consistent contributions to the Engineering community, enhancing the understanding and application of sustainable metallurgy and energy material Engineering. These honors affirm his role as a leading figure in developing future-focused Engineering solutions in both academia and industry.

Research Skill

Prof. Jijun Lu possesses outstanding research skills in Engineering, blending theoretical insights with practical applications across diverse Engineering disciplines. His expertise includes designing efficient metallurgical Engineering processes, developing silicon-based energy materials, and innovating photovoltaic recycling methods. He applies advanced Engineering tools, chemical Engineering modeling, and experimental techniques to address critical challenges in low-carbon metallurgy. His ability to secure and lead national-level Engineering projects highlights his strategic research planning. By publishing extensively in high-impact Engineering journals, he showcases strong analytical, technical, and collaborative skills essential to Engineering progress. Prof. Jijun Lu’s research abilities contribute not only to academic knowledge but also to transformative Engineering technologies that support sustainable industrial evolution.

Publication Top Notes 

Title: Cover Image, Volume 7, Number 7, July 2025
Journal: Carbon Energy
Authors: Liao Shen; Shaoyuan Li; Yanfeng Wang; Jijun Lu; Fengshuo Xi; Huaping Zhao; Zhongqiu Tong; Wenhui Ma; Yong Lei
Year: 2025

Title: Upcycling Photovoltaic Silicon Waste Into Cost‐Effectiveness Si/C Anode Materials
Journal: Carbon Energy
Authors: Liao Shen; Shaoyuan Li; Yanfeng Wang; Jijun Lu; Fengshuo Xi; Huaping Zhao; Zhongqiu Tong; Wenhui Ma; Yong Lei
Year: 2025

Title: Flash separation and recovery of each component from waste photovoltaic modules
Journal: Chemical Engineering Journal
Authors: Jiaxing Zhang; Xinjie Bai; Jijun Lu; Liao Shen; Yuelong Yu; Fengshuo Xi; Xiuhua Chen; Wenhui Ma; Shaoyuan Li
Year: 2025

Title: Full Component Cycling of Spent CIGS Solar Cells by Transient Pressure Differential
Journal: Advanced Functional Materials
Authors: Haochen Bao; Jijun Lu; Yuelong Yu; Fengshuo Xi; Xiuhua Chen; Wenhui Ma; Shaoyuan Li
Year: 2025

Title: Large-scale preparation of amorphous silicon materials for high-stability lithium-ion battery anodes
Journal: Journal of Power Sources
Authors: Jijun Lu; Shaoyuan Li; Liao Shen; Yanfeng Wang; Kuixian Wei; Yuelong Yu; Fengshuo Xi; Wenhui Ma; Zhi Wang
Year: 2025

Title: Recent advances in interface engineering of silicon anodes for enhanced lithium-ion battery performance
Journal: Energy Storage Materials
Authors: Liang Wang; Jie Yu; Shaoyuan Li; Fengshuo Xi; Wenhui Ma; Kuixian Wei; Jijun Lu; Zhongqiu Tong; Bao Liu; Bin Luo
Year: 2024

Conclusion

Prof. Jijun Lu represents the ideal integration of Engineering scholarship, innovation, and practical impact. His work reflects deep Engineering expertise, addressing global challenges in sustainable metallurgy and energy materials. By combining academic rigor with applied Engineering solutions, he has advanced both knowledge and industry practices. His leadership in Engineering projects, mentorship of students, and impactful publications make him a key contributor to the future of Engineering science. The numerous honors and technology transfers under his guidance further affirm his influence in shaping modern Engineering approaches. Through dedication, vision, and technical mastery, Prof. Jijun Lu continues to drive Engineering forward, ensuring it remains central to technological advancement and environmental sustainability.

Prof. Dr. Dong An | Artificial Neural Networks | Best Researcher Award

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Prof. Dr. Dong An | Artificial Neural Networks | Best Researcher Award

Professor at China Agriculatural University | China

Prof. Dr. Dong An has developed a comprehensive research profile in the field of Artificial Neural Networks, integrating Artificial Neural Networks into aquaculture, underwater robotics, and image processing. His expertise in Artificial Neural Networks extends to pattern recognition, intelligent feeding systems, and biomass estimation. The integration of Artificial Neural Networks has driven advancements in automation, improved environmental monitoring, and enhanced accuracy in aquatic systems. His research in Artificial Neural Networks has contributed to the transformation of the aquaculture industry, providing innovative solutions for fish behavior quantification, marine path planning, and real-time detection of structural issues in aquaculture nets. Prof. Dr. Dong An’s dedication to Artificial Neural Networks underscores his commitment to advancing both technological innovation and industrial transformation.

Professional Profile

Scopus Profile 

Education 

Prof. Dr. Dong An has an extensive academic background that supports his work in Artificial Neural Networks. His studies in electronics, control engineering, and microelectronics have built a foundation for exploring Artificial Neural Networks in advanced agricultural and aquatic technologies. Through structured learning and specialized research in Artificial Neural Networks, he has successfully combined computational intelligence with biological systems. The education of Prof. Dr. Dong An highlights the integration of Artificial Neural Networks into complex problem-solving environments, enabling progress in aquaculture automation and robotics. His academic achievements show the steady evolution of Artificial Neural Networks from theoretical models to practical applications. This educational journey reflects the rigorous development of expertise necessary for advancing Artificial Neural Networks in applied sciences.

Experience 

Prof. Dr. Dong An’s professional experience centers around developing and applying Artificial Neural Networks in real-world scenarios. His academic roles have focused on using Artificial Neural Networks in aquaculture, image processing, and underwater robotics. Through research leadership, he has supervised projects employing Artificial Neural Networks to optimize feeding, monitor fish behavior, and detect net damage. His international collaborations have extended the applications of Artificial Neural Networks to global challenges in marine systems. His expertise in Artificial Neural Networks bridges agricultural engineering, electronics, and computational modeling. This professional track demonstrates how Artificial Neural Networks can be translated into industry-ready technologies that transform aquaculture, ensuring improved efficiency, reduced labor costs, and enhanced environmental sustainability through advanced computational intelligence.

Research Interest 

Prof. Dr. Dong An’s research interests focus heavily on Artificial Neural Networks. He explores how Artificial Neural Networks can analyze complex underwater imagery, enabling precise detection of marine structures and fish activity. His projects employ Artificial Neural Networks to enhance path planning in underwater robotics, improve intelligent feeding mechanisms, and count fish populations accurately. He also investigates how Artificial Neural Networks can integrate with multimodal data, combining spectroscopy and imaging for seed identification in agriculture. His dedication to Artificial Neural Networks demonstrates a multidisciplinary vision, linking biology, electronics, and computation. These research interests show how Artificial Neural Networks are evolving beyond traditional tasks to play a central role in agricultural automation and marine environmental management.

Award and Honor

Prof. Dr. Dong An has received significant recognition for his contributions to Artificial Neural Networks and related fields. His awards at provincial and ministerial levels highlight impactful research integrating Artificial Neural Networks into aquaculture technology and robotics. He has been honored as a top contributor in advancing rural scientific development, showcasing the societal relevance of Artificial Neural Networks. These honors validate his leadership in applying Artificial Neural Networks to challenges in food production and environmental management. The achievements signify how Artificial Neural Networks contribute to sustainable development, automation, and efficiency in complex biological and industrial systems. Prof. Dr. Dong An’s recognition underscores the growing importance of Artificial Neural Networks across interdisciplinary scientific and engineering communities.

Research Skill

Prof. Dr. Dong An possesses advanced research skills in Artificial Neural Networks, enabling groundbreaking applications in aquaculture and robotics. His skill set includes designing and implementing Artificial Neural Networks for pattern recognition, path planning, and environmental monitoring. He effectively integrates Artificial Neural Networks with spectroscopy, hyperspectral imaging, and machine vision systems, producing robust, automated solutions. His capacity to develop, optimize, and validate Artificial Neural Networks across complex datasets ensures practical relevance and scientific accuracy. His technical skills with Artificial Neural Networks have supported innovations that enhance aquaculture productivity, reduce operational risks, and improve data-driven decision-making. These abilities place him at the forefront of researchers leveraging Artificial Neural Networks to advance both theoretical understanding and industrial implementation.

Publication Top Notes 

Title: A joint model for predicting dissolved oxygen in offshore aquaculture enclosures across multiple depths
Journal: Aquaculture
Citations: 0
Year: 2026

Title: A transformer-based semi-autoregressive framework for high-speed and accurate de novo peptide sequencing
Journal: Communications Biology
Citations: 3
Year: 2025

Title: A convolutional neural network-based lightweight motion deblurring method for autonomous visual target tracking in bionic robotic fish
Journal: Expert Systems with Applications
Citations: 0
Year: 2025

Title: Development and Application of the Coverage Path Planning Based on a Biomimetic Robotic Fish
Journal: Journal of Field Robotics
Citations: 1
Year: 2025

Title: MPMS-SGH: Multi-parameter Multi-step Prediction Model for Solar Greenhouse
Journal: Nongye Jixie Xuebao Transactions of the Chinese Society for Agricultural Machinery
Citations: 0
Year: 2025

Title: Achievement of Fish School Milling Motion Based on Distributed Multi-agent Reinforcement Learning
Journal: Journal of Bionic Engineering
Citations: 0
Year: 2025

Title: Review on Quantitative Methods of Fish School Behaviors
Journal: [Not specified]
Citations: 0

Title: Self-supervised learning-based multi-source spectral fusion for fruit quality evaluation: A case study in mango fruit ripeness prediction
Journal: Information Fusion
Citations: 44
Year: 2025

Title: Unsupervised underwater image restoration via Koschmieder model disentanglement
Journal: Expert Systems with Applications
Citations: 0
Year: 2025

Title: Uniformity and deformation: A benchmark for multi-fish real-time tracking in the farming
Journal: Expert Systems with Applications
Citations: 32
Year: 2025

Conclusion

Prof. Dr. Dong An exemplifies innovation in the deployment of Artificial Neural Networks across agriculture, aquaculture, and robotics. His career demonstrates how Artificial Neural Networks transform industrial practices by increasing automation, enhancing sustainability, and improving precision in biological monitoring. The integration of Artificial Neural Networks into underwater robotics, intelligent feeding, and net safety has created lasting economic and environmental benefits. His academic foundation, professional achievements, and global collaborations prove the value of Artificial Neural Networks in complex, real-world systems. Moving forward, Prof. Dr. Dong An’s continued work with Artificial Neural Networks promises further advances in intelligent systems, reinforcing his position as a leading contributor to the intersection of computation, biology, and engineering.