Mamoona Khalid | Photonics | Best Researcher Award

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Dr. Mamoona Khalid | Photonics | Best Researcher Award

Dr Mamoona Khalid, UET Taxila, Pakistan

Dr. mamoona khalid is a lecturer in Electrical Engineering at UET Taxila, specializing in photonics and optical engineering. With over 15 years of experience in academia and research, she has made significant contributions to laser systems and optical communication. Dr. khalid’s work has been published in high-impact journals, and she holds multiple administrative and advisory roles at UET, fostering innovation and guidance in photonics. Her global experience includes roles at the University of South Australia and as an AI trainer for OpenAI, contributing to cutting-edge advancements in her field.

PROFILE

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Scopus Profile

Educational Details

Dr. mamoona khalid earned her Ph.D. in Electrical and Information Engineering from the University of South Australia in 2021. Her research focused on germanate waveguide lasers for shortwave to mid-infrared laser applications, under the supervision of Prof. David G. Lancaster. She completed her Ph.D. through the “Thesis by Publications” stream, publishing four journal articles and two conference papers. Dr. khalid holds an MSc in Electrical Engineering from UET Taxila, where she researched the mathematical modeling and simulation of light propagation through photonic crystal fibers, graduating with distinction in 2012. Her BSc in Electrical Engineering from UET Taxila (2008) earned her a gold medal for outstanding academic performance.

Professional Experience

Dr. khalid has served as a lecturer at UET Taxila since December 2008, where she teaches undergraduate and postgraduate courses, supervises final-year projects and research theses, and has been endorsed as a Ph.D. research supervisor by the Pakistan Engineering Council and Higher Education Commission of Pakistan. She also contributed to the AI field as a trainer for OpenAI in 2024, where she worked on enhancing large language model training methodologies. From 2017 to 2021, she was a researcher at the University of South Australia, specializing in optical waveguide fabrication and femtosecond laser-based micromachining. Her administrative roles include serving as Director of the Photonics and Communications Lab at UET, advising multiple student branches and committees, and mentoring students.

Research Interest

Dr. khalid’s research interests lie in photonics, fiber optics, and laser fabrication, with a focus on ytterbium and holmium-doped miniature laser systems, fiber laser fabrication, and optical communication link design. Her work encompasses advanced techniques such as femtosecond laser micromachining, fluorescence spectroscopy, and optical grade polishing for optical systems.

Top Notable Publications

Xu, L., Zhuang, T., Liu, B., Chen, G.Y., & Wang, Y. (2024). Light-sheet skew rays sensing platform based on microstructuring of coreless multimode fiber. Sensing and Bio-Sensing Research, 44, 100656. (0 citations)

Khalid, M., Chen, G.Y., Ebendorff-Heidepreim, H., & Lancaster, D.G. (2023). Author Correction: Femtosecond laser induced low propagation loss waveguides in a lead-germanate glass for efficient lasing in near to mid-IR. Scientific Reports, 13(1), 10649. (0 citations)

Chen, G.Y., Liu, K., Rao, X., He, J., & Wang, Y. (2023). Long-range distributed vibration sensing using phase-sensitive forward optical transmission: publisher’s note. Optics Letters, 48(22), 5967. (2 citations)

Chen, G.Y., Liu, K., Rao, X., He, J., & Wang, Y. (2023). Long-range distributed vibration sensing using phase-sensitive forward optical transmission. Optics Letters, 48(18), 4825–4828. (2 citations)

Khalid, M., Usman, M., Nasir, M.A., & Arshad, I. (2023). Recent advancements in femtosecond laser inscribed waveguides in germanate glass for ∼ 2.1 µm laser applications. Optik, 273, 170462. (3 citations)

Khalid, M., Usman, M., & Arshad, I. (2023). Germanate glass for laser applications in ∼ 2.1 μm spectral region: A review. Heliyon, 9(1), e13031. (8 citations)

Khalid, M., Chen, G.Y., Ebendorff-Heidepreim, H., & Lancaster, D.G. (2021). Femtosecond laser induced low propagation loss waveguides in a lead-germanate glass for efficient lasing in near to mid-IR. Scientific Reports, 11(1), 10742. (10 citations)

Khalid, M. (2021). Broadband fluorescence emission and laser demonstration in large mode waveguide structure in Yb3+ doped germanate glass. Optica Applicata, 51(1), 75–85. (1 citation)

Khalid, M., Ebendorff-Heidepriem, H., & Lancaster, D.G. (2020). 2 μm Laser Characteristics and Spectroscopic Properties of Yb3+/Ho3+ co-doped GPGN. CLEO-PR 2020 – Proceedings, 9256085. (0 citations)

Khalid, M., Lancaster, D.G., & Heidepriem, H.E. (2020). Spectroscopic analysis and laser simulations of Yb3+/Ho3+ co-doped lead-germanate glass. Optical Materials Express, 10(11), 2819–2833. (15 citations).

Conclusion

Dr. Mamoona Khalid is a strong candidate for the “Research for Best Researcher Award” due to her proven record in photonics research, her extensive teaching and mentoring experience, and her impactful contributions to both academia and industry. Her diverse expertise in laser systems, optical communication, AI training, and her consistent scholarly output make her a competitive and deserving candidate for this award.

 

 

 

Yingjie Zhang | Quantum Science | Best Researcher Award

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Prof. Yingjie Zhang | Quantum Science | Best Researcher Award

Prof. Dr. Yingjie Zhang, Qufu Normal University, China

Prof. Dr. Yingjie Zhang is a prominent physicist in the field of quantumhttps://physicistparticle.com/yingjie-zhang-quantum-science-best-researcher-award-1321/ optics and quantum information. His extensive research at Qufu Normal University and the Chinese Academy of Sciences has significantly advanced understanding of quantum dynamics, particularly in relation to noise, gravity, and system efficiency limits. His work is pivotal in the pursuit of optimized quantum technologies, including potential applications in quantum computing and energy storage.

PROFILE

Scopus Profile

Educational Details

Prof. Dr. Yingjie Zhang earned his Ph.D. in Optics from Qufu Normal University, China, under the guidance of Prof. Dr. Yunjie Xia, specializing in quantum optics and quantum information (2005–2011). Prior to this, he completed his Bachelor’s degree in Physics at Qufu Normal University (2001–2005).

Professional Experience

Prof. Zhang currently serves as a Professor in the Department of Physics at Qufu Normal University (since December 2018). Previously, he held positions as an Associate Professor (2013–2018) and Lecturer (2011–2013) in the same department. His postdoctoral experience includes research at the Institute of Physics, Chinese Academy of Sciences, Beijing, China (2013–2015).

Research Interest

 

Quantum noise and its impact on quantum dynamics

Quantum gravity theories

Quantum speed limits for open systems

The development of quantum batteries

Top Notable Publications

Wei, Z.-D., Han, W., Zhang, Y.-J., Xia, Y.-J., & Fan, H. (2024). Non-Markovian dynamics control of an open quantum system in a Schwarzschild space–time. Annals of Physics, 470, 169825.

Xue, Q.-F., Zhuang, X.-C., Duan, D.-Y., Lo Franco, R., & Man, Z.-X. (2024). Evidence of genuine quantum effects in nonequilibrium entropy production via quantum photonics. Physical Review A, 110(4), 042204.

Wang, B., Han, W., Zhang, Y., Tang, Z., & Kong, Q. (2024). Assessment of student knowledge integration in learning friction force. Journal of Baltic Science Education, 23(4), 767–785.

Wei, Z.-D., Han, W., Zhang, Y.-J., Xia, Y.-J., & Fan, H. (2023). Non-Markovian speedup dynamics of a photon induced by gravitational redshift. Physical Review D, 108(12), 126011.

Yan, W.-B., Zhang, Y.-J., Man, Z.-X., Fan, H., & Xia, Y.-J. (2023). Chiral-quantum-optics-based supervised learning. Annalen der Physik, 535(11), 2300183.

Yan, W.-B., Zhang, Y.-J., Man, Z.-X., Fan, H., & Xia, Y.-J. (2023). Quantum simulation of tunable neuron activation. Annalen der Physik, 535(8), 2200546.

Zhang, Q., Man, Z.-X., Zhang, Y.-J., Yan, W.-B., & Xia, Y.-J. (2023). Quantum thermodynamics in nonequilibrium reservoirs: Landauer-like bound and its implications. Physical Review A, 107(4), 042202.

Zhang, Y.-J., Wang, Q., Yan, W.-B., Man, Z.-X., & Xia, Y.-J. (2023). Non-Markovian speedup evolution of a center massive particle in two-dimensional environmental model. European Physical Journal C, 83(2), 146.

Yan, W.-B., Man, Z.-X., Zhang, Y.-J., Fan, H., & Xia, Y.-J. (2023). All-optical control of thermal conduction in waveguide quantum electrodynamics. Optics Letters, 48(3), 823–826.

Yan, W.-B., Man, Z.-X., Zhang, Y.-J., & Xia, Y.-J. (2023). Temperature-related single-photon transport in a waveguide QED. Optics Letters, 48(22), 5831–5834.

Conclusion

Prof. Dr. Yingjie Zhang possesses a robust academic and research profile, backed by a rich professional background and focused on significant areas in quantum science. His expertise, experience, and ongoing contributions to quantum optics and quantum information theory make him a compelling candidate for the Research for Best Researcher Award. Given his background, Dr. Zhang has the potential to make substantial contributions to the field, further underscoring his qualification for this recognition.

 

 

 

Jian-Fei Sun | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jian-Fei Sun | Engineering | Best Researcher Award

Assoc. Prof. Dr Jian-Fei Sun, Qingdao University of Technology, China

Dr. Jian-Fei Sun is an Associate Professor at Qingdao University of Technology, specializing in chemical engineering with a focus on green solvent technology and chemical equipment. His research has led to several SCI/EI publications and collaborations with industry, advancing environmentally sustainable solutions in chemical processes.

PROFILE

Orcid Profile

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Educational Details

Assoc. Prof. Dr. Jian-Fei Sun completed his Bachelor’s degree at Shandong Normal University in 2016, followed by a Master’s degree from Inner Mongolia University of Technology in 2019. He earned his Ph.D. from Dalian University of Technology in 2023, showcasing a solid academic progression in engineering and chemical sciences. As of September 2024, Dr. Sun is a post-doctoral researcher and visiting scholar in the Department of Chemical Engineering at Qingdao University of Science and Technology.

Professional Experience

Dr. Sun is an Associate Professor at the School of Mechanical and Automotive Engineering, Qingdao University of Technology, where he has developed expertise in gas adsorption, green solvents, and chemical process equipment. His collaborations extend to the Chinese Chemical Society and the China Occupational Safety and Health Association, where he is an active member.

Research Interest

Thermodynamics and Applications of Green Solvents: Involving supercritical and CO2-expanded liquids, critical for eco-friendly chemical processes.

Nanomaterial Synthesis and Catalysis: Focused on catalytic conversion and pretreatment of biomass.

Chemical Engineering Equipment Design: Including innovations in vaporization, heat exchange, and coating processes.

Research Innovations

Dr. Sun’s research is pioneering in green solvent technology, encompassing supercritical fluids, CO2-expanded liquids, and ionic liquids. His work emphasizes the synthesis of nanomaterials, catalytic conversion of lignocellulosic biomass, and advanced chemical engineering equipment design. Notable projects include submerged combustion vaporizers, heat exchangers, jet cavitation cleaning, and supercritical cleaning technologies.

Top Notable Publications

Chen, X., Sun, J., Yu, K., Wu, J., & Yin, J. (2024). Design of novel bracket structure for falling film devolatilizer and numerical simulation of its film-forming property. Chemical Engineering Journal, 499, 156317.

Citations: 0

Sun, J., Yu, K., Zhou, D., Sun, H., & Wu, J. (2024). Continuous process for CO2 cycloaddition reaction in a fixed bed reactor: Kinetic model of reaction transport. Chemical Engineering Science, 283, 119415.

Citations: 2

Zhou, D., Sun, J., Xue, M., Xu, Q., & Yin, J. (2024). Imidazole based ionic liquid grafted graphene for enhancing the new green conversion process of carbon dioxide. Journal of Cleaner Production, 434, 140083.

Citations: 5

Sun, H., Qi, J., Sun, J., Wu, J., & Yin, J. (2024). Solubility of iron(III) and nickel(II) acetylacetonates in supercritical carbon dioxide. Chinese Journal of Chemical Engineering, 65, 29–34.

Citations: 0

Chen, X., Sun, J., Wu, J., Zhang, Y., & Yin, J. (2023). Simulation study on mass transfer characteristics and disk structure optimization of a rotating disk reactor with high viscosity region. Journal of Applied Polymer Science, 140(48), e54717.

Citations: 1

Chen, X., Wu, J., Sun, J., Yu, K., & Yin, J. (2023). Numerical investigation of film-forming characteristics and mass transfer enhancement in horizontal polycondensation kettle. Chinese Journal of Chemical Engineering, 63, 31–42.

Citations: 0

Li, X., Sun, J., Xue, M., Wu, J., & Yin, J. (2023). The imidazole ionic liquid was chemically grafted on SBA-15 to continuously catalyze carbon dioxide to prepare propylene carbonate. Journal of Environmental Chemical Engineering, 11(5), 110438.

Citations: 9

Sun, J.-F., Chen, X.-P., Li, X.-T., Li, L., & Yin, J.-Z. (2023). Theoretical study of supported ionic liquid membrane reaction and transport for CO2 cycloaddition reaction. Chemical Engineering Journal, 470, 144299.

Citations: 2

Yu, K., Liu, J., Sun, J., Shen, Z., & Yin, J. (2023). Study of polyester degradation by sub/supercritical ethanol and enhancement of carbon dioxide. Journal of Supercritical Fluids, 194, 105837.

Citations: 7

Conclusion

Dr. Sun has published numerous SCI and EI-indexed papers and collaborated with chemical enterprises to secure research funding. His contributions emphasize his dedication to both academic excellence and real-world applications, reinforcing his suitability for the Best Researcher Award through innovation and impactful research in sustainable chemical processes.

 

 

 

Andry Sedelnikov | Aerospace Engineering | Best Researcher Award

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Prof. Andry Sedelnikov | Aerospace Engineering | Best Researcher Award 

Prof. Andry Sedelnikov, Samara University, Russia

Professor Andry Sedelnikov, a distinguished academic and researcher at Samara University, specializes in aerospace engineering with a focus on spacecraft testing, control systems, and microgravity modeling. With significant contributions to small spacecraft design and diagnostics, he has been honored with awards such as the Vernadsky Medal and scholarships from the Russian Academy of Sciences and Boeing. His work enhances our understanding of aerospace systems and microgravity platforms, bridging engineering innovation with practical applications in space exploration.

PROFILE

Orcid Profile

Educational Details

Professor Andry Sedelnikov completed his education in aerospace engineering, beginning with an engineering degree in spacecraft (1994), followed by a Ph.D. in theoretical mechanics (1998), and a Doctorate in Technical Sciences focusing on spacecraft testing (2015). His extensive academic foundation supports his advanced research in space engineering and theoretical mechanics.

Professional Experience

Prof. Sedelnikov is a professor at Samara University, where he serves across multiple departments: Space Engineering, Theoretical Mechanics, Higher Mathematics, and Flight Dynamics and Control Systems. He is also a leading researcher at Samara’s Research Space Engineering Institute and heads the Research Mechanics Group. With a track record of guiding Ph.D. candidates (four completed and four ongoing), his mentorship further enhances his contributions to the field.

Research Interest

His research spans a variety of aerospace engineering topics, including spacecraft monitoring, control, diagnostics, thermal conductivity, thermoelasticity, and microgravity modeling. These areas are particularly relevant to current advancements in spacecraft technology and microgravity processes.

Top Notable Publications

Technologies for Increasing the Control Efficiency of Small Spacecraft with Solar Panels by Taking into Account Temperature Shock

Authors: A. S. Shakirov, A. A. Duyunov, S. A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/technologies12100207

Identification of Carbon-Short Fibers by Image Segmentation Technologies

Authors: A. Duyunov, A. Shakirov, S. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202410.0160.v1

Construction and Verification on the Isoi Small Spacecraft (SXC3-219) Models for Estimating the Methodological Error in Calculating the Angular Velocity Based on On-Board Measurements of the Induction Vector of the Earth’s Magnetic Field

Authors: A. Shakirov, A. Duyunov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202407.1899.v1

Short Fiber-Reinforced Polymer Polyamide 6 Lugs and Selective Laser-Melted Ti-6Al-4V Bushing Contact Cohesive Zone Model Mode II Parameters’ Evaluation

Authors: A. Shakirov, S. A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/computation12050105

Evaluation of SFRP Lugs with SLM Bushing Load Capacity and Dependence of CZM Mode II Model Parameters on Embedded Elements Surface Roughness

Authors: A. Shakirov, A. Duyunov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202403.0402.v1

Algorithm for Propeller Optimization Based on Differential Evolution

Authors: A. Duyunov, S. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.3390/computation12030052

The Methodology for Estimating the Angular Velocity of Rotation of a Small Spacecraft Based on a Limited Number of Magnetometric Measurements

Authors: A. Duyunov, A. Shakirov

Year: 2024

Citations: Not available yet; newly published.

DOI: 10.1007/978-981-97-6937-7_52

Estimating the Inertia Tensor Components of an Asymmetrical Spacecraft When Removing It from the Operational Orbit at the End of Its Active Life

Authors: A. Duyunov, S. A. Shakirov

Year: 2023

Citations: Not available yet; newly published.

DOI: 10.3390/s23239615

Algorithm for Propeller Optimization Based on Differential Evolution (Preprint)

Authors: A. Duyunov, S. A. Shakirov

Year: 2023

Citations: Not available yet; newly published.

DOI: 10.20944/preprints202311.0706.v1

Conclusion

Given Prof. Andry Sedelnikov’s substantial contributions to aerospace engineering, extensive educational background, and commitment to mentorship and research, he is highly suitable for the Research for Best Researcher Award. His innovative work on small spacecraft technologies and his leadership in academic and research initiatives make him a valuable candidate for this honor.

 

 

 

Sowon Choi | Engineering | Women Researcher Award

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Dr. Sowon Choi | Engineering | Women Researcher Award

Dr. Sowon  Choi, Pohang University of Science and Technology, South Korea

Dr. sowon choi is a research professor at the Graduate Institute of Ferrous and Eco Materials Technology (GIFT) at Pohang University of Science and Technology (POSTECH), South Korea. Her research integrates data-driven project management methodologies through artificial intelligence (AI) and unstructured text data analysis, particularly within big data environments. Dr. choi’s work is grounded in her comprehensive experience in both onshore and offshore EPC (Engineering, Procurement, and Construction) projects, with specialized expertise in contract negotiation and project management. Her academic focus is complemented by a solid background in strategic management, planning, and marketing.

PROFILE

Orcid Profile

Educational Details

Ph.D. in Plant System Engineering (PSE), POSTECH, 2022

Master of Science in Plant System Engineering (PSE), POSTECH, 2015

Bachelor of Commerce, Double Major in Marketing & International Business, University of Auckland, 2005

Professional Experience

Dr. choi has a diverse professional background, which spans across various industries and roles. She currently serves as a research professor and postdoctoral research fellow at POSTECH, a position she has held since 2022. Before this, Dr. choi held leadership roles in prominent South Korean companies. From 2012 to 2016, she was Principal Manager at Taekyung Heavy Industries Co., Ltd., where she played a key role in managing large-scale projects. Additionally, she has experience as a Principal Consultant with Korea PMI Consulting Group and as a Principal Researcher with Korea Marketing and Retailing Consulting. Early in her career, Dr. choi worked as an Assistant Manager at Paris Croissant Co., Ltd.

Research Interest

 

AI-driven project management and analysis of unstructured text data

Big data applications in EPC project management

Strategic and marketing planning within the engineering and technology sectors

Top Notable Publications

Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications

Authors: To be determined

Journal: Sustainability

Date: 2024-03-27

DOI: 10.3390/su16072770

Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants

Authors: To be determined

Journal: Energies

Date: 2024-03-23

DOI: 10.3390/en17071536

Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)

Authors: To be determined

Journal: Energies

Date: 2023-09-30

DOI: 10.3390/en16196907

A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance

Authors: To be determined

Journal: Electronics

Date: 2023-06-01

DOI: 10.3390/electronics12112504

Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data

Authors: To be determined

Journal: Sustainability

Date: 2023-05-07

DOI: 10.3390/su15097676

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

Authors: To be determined

Journal: Energies

Date: 2023-05

DOI: 10.3390/en16114271

Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants

Authors: To be determined

Journal: Sustainability

Date: 2023-04-08

DOI: 10.3390/su15086393

Knowledge Retrieval Model Based on a Graph Database for Semantic Search in Equipment Purchase Order Specifications for Steel Plants

Authors: To be determined

Journal: Sustainability

Date: 2023-04-06

DOI: 10.3390/su15076319

An AI-Based Automatic Risks Detection Solution for Plant Owner’s Technical Requirements in Equipment Purchase Order

Authors: To be determined

Journal: Sustainability

Date: 2022-08-12

DOI: 10.3390/su141610010

Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology

Authors: To be determined

Journal: Sustainability

Date: 2022-06-06

DOI: 10.3390/su14116938

The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects

Authors: To be determined

Journal: Sustainability

Date: 2021-09

DOI: 10.3390/su131810384

AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects

Authors: So Won Choi (and additional authors as listed in the article)

Journal: Energies

Date: 2021-07-30

DOI: 10.3390/en14154632

Conclusion

Dr. Sowon Choi’s extensive background in data analysis, project management, and strategic planning, combined with her advanced research in AI and EPC projects, makes her an exemplary candidate for the Best Researcher Award. Her innovative work aligns closely with the award criteria, addressing sustainability, efficiency, and technological advancement in project management. Given her diverse experience and strong academic foundation, she demonstrates a well-rounded expertise that positions her as a compelling candidate for this honor.

 

 

 

Dalel Azaiez | Engineering | Best Researcher Award

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Ms. Dalel Azaiez | Engineering | Best Researcher Award 

Ms. Dalel Azaiez, Higher Institute of Technological Studies of Gafsa, Tunisia

Ms. Dalel Azaiez is a skilled geotechnical engineer and educator based at the Higher Institute of Technological Studies of Gafsa, Tunisia. With a Ph.D. in Geotechnical Engineering from the National Engineering School of Tunis, she has contributed to the field through both academic and practical applications, including the invention of the Cylindrical Shear Tool (TN 2020/0256). Her expertise spans civil engineering, soil mechanics, and quality control, and she brings practical knowledge to her teaching roles across several prestigious Tunisian institutions. Ms. Azaiez is proficient in technical tools such as Python, AutoCAD, and Arche Ossature, complemented by certifications in quality management and language proficiency.

PROFILE

Google  Scholar Profile

Scopus Profile

Educational Details

Ms. Dalel Azaiez is an accomplished academic and geotechnical engineer with a diverse background in civil engineering, teaching, and research innovation. She earned her Doctor of Philosophy in Geotechnical Engineering from the National Engineering School of Tunis (2015-2023), where she also contributed as a research engineer at SIMPRO, a firm specializing in geotechnical engineering. Her work led to the co-invention of the Cylindrical Shear Tool (TN 2020/0256), showcasing her drive for advancing practical applications in engineering. Ms. Azaiez’s earlier studies include a Civil Engineering degree from the National Engineering School of Sfax (2012-2015) and preparatory coursework in mathematics and physics at the Sfax Preparatory Engineering Institute, following her high school studies at Mohamed Ali Sfax.

Professional Experience

Ms. Azaiez has a rich teaching history across various esteemed institutions in Tunisia. Currently, she serves as a contract teacher at the Higher Institute of Technological Studies of Gafsa, where she instructs on quality control, computer-aided design, and project planning software, among other engineering-related topics. Her previous teaching roles include work as a temporary teacher at the Private Higher School of Engineering and Technology (ESPRIT), the Military Academy Fondouk El Jdid, and the National Engineering School of Tunis. Additionally, she taught practical classes in soil mechanics at the Higher Institute of Environmental Technologies, Urban Planning, and Building (ISTEUB).

Research Interest

Ms. Azaiez’s research is rooted in soil mechanics, materials testing, and innovative geotechnical engineering tools. Her contributions are marked by a strong focus on applying theoretical knowledge to solve real-world engineering problems, evident from her involvement in patenting the Cylindrical Shear Tool. Her technical acumen spans laboratory testing methods, geotechnics, and practical civil engineering applications.

Skills and Training

Her skill set includes proficiency in Python, AutoCAD 2D, and specialized engineering software like Arche Ossature. Ms. Azaiez is certified in ISO 9001 Quality Management and holds a DELF diploma, confirming her multilingual proficiency. Her continuous learning is exemplified by recent training in Python (2024), enhancing her technical and programming capabilities.

Ms. Azaiez’s academic, research, and teaching experiences underscore her commitment to geotechnical engineering and applied sciences, contributing to her impactful role in Tunisia’s higher education landscape.

Top Notable Publications

Azaiez, D., Boullosa Allariz, B., Levacher, D. (2024). Study of Physical and Mechanical Relationships during the Natural Dewatering of River Sediments and a Kaolin. Journal of Marine Science and Engineering, 12(8), 1354. Citations: 0.

Manigniavy, S.A., Bouassida, Y., Azaiez, D., Bouassida, M. (2023). Using Compression and Swelling Indices to Characterize Expansive Soils. Lecture Notes in Civil Engineering, 305, pp. 121–128. Citations: 1.

Bouassida, M., Azaiez, D. (2023). New Tool for the Measurement of Soils’ Shear Strength. Lecture Notes in Civil Engineering, 305, pp. 63–76. Citations: 0.

Azaiez, D., Bouassida, M. (2022). An Efficient Tool to Determine Undrained Shear Strength of Soft Soils. Geotechnical Engineering, 53(4), pp. 25–35. Citations: 0.

Bouassida, M., Manigniavy, S.A., Azaiez, D., Bouassida, Y. (2022). New Approach for Characterization and Mitigation of the Swelling Phenomenon. Frontiers in Built Environment, 8, 836277. Citations: 8.

Bouassida, M., Azaiez, D. (2019). On the Determination of Undrained Shear Strength from Vane Test. Sustainable Civil Infrastructures, pp. 50–68. Citations: 2.

Azaiez, D., Bouassida, M., Boullosa Allariz, B., Levacher, D. (2018). On the Characterization and Valorization of Sediments. 1st International Conference on Advances in Rock Mechanics, TuniRock 2018, pp. 133–142. Citations: 1.

Conclusion

Based on her academic qualifications, innovation in tool development, teaching experience, and research focus, Ms. Dalel Azaiez is a competitive candidate for the “Research for Best Researcher Award.” Her achievements and contributions highlight her dedication to advancing geotechnical engineering, which aligns well with the award’s focus on recognizing impactful research and practical innovation.

 

 

 

Naoufel Ben Hamadi | Engineering | Excellence in Scientific Innovation Award

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Prof. Naoufel Ben Hamadi | Engineering | Excellence in Scientific Innovation Award

Prof. Naoufel Ben Hamadi, Chemistry Department, College of Science, IMSIU, Imam Mohammad Ibn Saud Islamic University, P.O. Box 5701, Riyadh 11432, Saudi Arabia

Prof. naoufel ben hamadi is a distinguished professor of chemistry at IMSIU, specializing in organic synthesis, photochemistry, and environmental applications of chemistry. His research emphasizes sustainable technologies, and he serves as a reviewer for leading international journals, contributing to advances in organic and polymer chemistry.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Prof. naoufel ben hamadi has built a strong foundation in organic chemistry through comprehensive academic achievements at the Monastir Faculty of Sciences in Tunisia. He earned his Ph.D. in Organic Chemistry Sciences in 2008, graduating with the distinction of “Very Honorable with felicitation of the Jury.” Continuing his academic pursuit, he achieved his Habilitation à Diriger des Recherches (HDR) in Organic Chemistry in 2013, again with the highest honors and jury recognition. Prof. ben hamadi also holds a post-graduate diploma (2002) and a bachelor’s degree (2000) in Physics Sciences, both awarded with commendable grades.

Professional Experience

Prof. ben hamadi began his teaching career in 2003 as an Assistant at the Higher Institute of Technology Studies in Zaghouan, Tunisia. He advanced to Assistant Professor at Gabes Faculty of Sciences from 2008 to 2014. Since joining the College of Sciences at Imam Mohammad Ibn Saud Islamic University (IMSIU) in 2014, he has held positions as Associate Professor and, since 2023, full Professor. His teaching experience spans organic synthesis, photochemistry, and bioresource technology, among other fields within the discipline of chemistry.

Research Interest

Prof. ben hamadi’s research expertise encompasses various aspects of chemistry, particularly organic synthesis, photochemistry, polymer chemistry, textile dyeing, bioresource technology, and waste treatment. His work often emphasizes sustainable practices and innovative applications of organic compounds across different industries.

Peer Review Contributions

As a dedicated academic, Prof. ben hamadi contributes to the scientific community by acting as a peer reviewer for multiple international journals, including Letters in Organic Chemistry, Molecules, Arabian Journal of Chemistry, Natural Science, Scientific Research and Essays, Industrial Crops and Products, and the Journal of Cleaner Production.

Top Notable Publications

“Insights into Co (II)-based hybrid materials for photocatalytic and antioxidant applications”

Authors: Gassara, M., Hchicha, K., Mhadhbi, N., Hamadi, N.B., Boufahja, F.

Journal: Journal of Molecular Structure

Year: 2025

Volume/Issue/Page: 1319, Article 139458

Citations: 1

“Synthesis, structure, and luminescence properties of a 0D organic-inorganic cadmium iodide: Combined experimental and theoretical approach”

Authors: Fandouli, A., Hamadi, N.B., Guesmi, A., Houas, A., Rayes, A.

Journal: Journal of Molecular Structure

Year: 2024

Volume/Issue/Page: 1314, Article 138683

Citations: 0

“Erratum to ‘Synthesis, thermal, dielectric and electro-optic properties of new series of fluorinated hydrogen-bonded liquid crystals, [J. Mol. Liq. 367 (2022) 120510]’”

Authors: Derbali, M., Soltani, T., Guesmi, A., Jeanneau, E., Chevalier, Y.

Journal: Journal of Molecular Liquids

Year: 2024

Volume/Issue/Page: 407, Article 125246

Citations: 0

“A new non-centrosymmetric material (C5H9N3)[ZnBr4]·H2O : Molecular structure, characterization, optical properties, and biological activities”

Authors: Dammak, S.W., Tlili, H., Trabelsi, I., Hamadi, N.B., Naïli, H.

Journal: Journal of Molecular Structure

Year: 2024

Volume/Issue/Page: 1307, Article 137907

Citations: 1

“Novel composite from chitosan and a metal-organic framework for removal of tartrazine dye from aqueous solutions; adsorption isotherm, kinetic, and optimization using Box-Benkhen design”

Authors: El-Fattah, W.A., Guesmi, A., Hamadi, N.B., El-Desouky, M.G., Shahat, A.

Journal: International Journal of Biological Macromolecules

Year: 2024

Volume/Issue/Page: 273, Article 133015

Citations: 9

“Hydrothermal synthesis of (C5H14N2)[CoCl4]⸳0.5H2O: Crystal structure, spectroscopic characterization, thermal behavior, magnetic properties, and biological evaluation”

Authors: Walha, S., Mhadhbi, N., Ali, B.F., Costantino, F., Naïli, H.

Journal: Chemical Physics Impact

Year: 2024

Volume/Issue/Page: 8, Article 100597

Citations: 1

Conclusion

Prof. Naoufel Ben Hamadi’s distinguished academic background, extensive teaching experience, impactful research focus, and active involvement in scientific publishing strongly support his candidacy for the Best Researcher Award. His achievements and commitment to advancing the field of chemistry make him a highly qualified nominee.

 

 

Dipesh Khanal | Experimental Methods | Best Researcher Award

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Dr. Dipesh Khanal | Experimental Methods | Best Researcher Award

Dr. Dipesh Khanal, The University of Sydney, Australia

Dr. Dipesh Khanal is a Postdoctoral Fellow and Nano-characterisation theme leader at the University of Sydney’s Pharmacy School. He earned his Ph.D. in Pharmaceutics from the same institution in 2018 and holds a Master of Pharmacy from Kathmandu University, Nepal, where he graduated Magna Cum Laude. Dr. Khanal specializes in nano-characterisation, pulmonary formulations, and advanced drug delivery systems. His research is funded by prestigious bodies like the US FDA, and he has been recognized with awards for his contributions to nanoscale toxicology and aerosol drug delivery.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Dipesh Khanal is a Postdoctoral Fellow and Nano-characterisation theme leader at the Advanced Drug Delivery Group, Sydney Pharmacy School, The University of Sydney. He holds a Ph.D. in Pharmaceutics from The University of Sydney (2014-2018) and a Master of Pharmacy (Magna Cum Laude) from Kathmandu University, Nepal (2009-2011), where he was the batch topper. He earned his Bachelor of Pharmacy from the same institution in 2006.

Professional Experience

Dr. Khanal has been a postdoctoral fellow since 2018, where he has played a pivotal role in advancing nano-characterisation and biopharmaceutical formulations. His expertise includes particle production techniques like spray drying, lyophilization, and air jet milling. He has developed advanced analytical techniques such as AFM-IR spectroscopy and optical photothermal infrared spectroscopy for nanoparticle characterization. Dr. Khanal has successfully secured competitive funding, including grants from the US FDA, ARC, and NSW funding bodies. He has co-supervised two PhD students and managed high-impact research projects, particularly in pulmonary formulations, aerosol characterization, and bacteriophage tablet formulation.

Research Interest

Dr. Khanal specializes in nano-characterisation, nanotechnology in drug delivery, pulmonary formulations, and the mechanical analysis of nanoparticles. His research explores aerosol delivery systems, nanotoxicity assessment, and the development of analytical methods to characterize drug nanocrystals within liposomes.

Grants and Awards

2023 Provost’s CAPEX Fund: AUD 756,000 for a Multimodal, Correlative, and Multiscale Characterisation Platform.

2022 US FDA Research Support: USD 1.25 million for nanospectroscopy and nano-thermal analysis of drug aerosols.

2019 Sydney Nano Publication Award: For a paper on nanodiamond particles and nanotoxicity assessment.

2018 Nanoscale Horizons Outstanding Paper Award: For nanoscale characterization using AFM-IR spectroscopy.

2017 Award for reducing the use of animals in research via 3D scaffold-free liver models for nanotoxicity studies.

Top Notable Publications

Khanal, D., Cao, Y., Tai, W., & Kim Chan, H. (2024). O-PTIR spectroscopy for characterizing active pharmaceutical ingredient specific particle size distributions of nasal spray suspension products. International Journal of Pharmaceutics, 664, 124653.

Zhang, J., Khanal, D., Chan, H.-K., & Banaszak Holl, M.M. (2024). Nanoscale colocalized thermal and chemical mapping of pharmaceutical powder aerosols. International Journal of Pharmaceutics, 656, 124116.

Cao, Y., Khanal, D., Kim, J., Banaszak Holl, M.M., & Chan, H.-K. (2023). Stability of bacteriophages in organic solvents for formulations. International Journal of Pharmaceutics, 646, 123505.

Wang, Y., Khanal, D., Alreja, A.B., Britton, W.J., & Chan, H.-K. (2023). Bacteriophage endolysin powders for inhaled delivery against pulmonary infections. International Journal of Pharmaceutics, 635, 122679.

Khanal, D., Kim, J., Zhang, J., Holl, M.M.B., & Chan, H.-K. (2023). Optical photothermal infrared spectroscopy for nanochemical analysis of pharmaceutical dry powder aerosols. International Journal of Pharmaceutics, 632, 122563.

Zhang, J., Khanal, D., & Banaszak Holl, M.M. (2023). Applications of AFM-IR for drug delivery vector characterization: infrared, thermal, and mechanical characterization at the nanoscale. Advanced Drug Delivery Reviews, 192, 114646.

Albariqi, A.H., Ke, W.-R., Khanal, D., Drago, J., & Chan, H.-K. (2022). Preparation and characterization of inhalable ivermectin powders as a potential COVID-19 therapy. Journal of Aerosol Medicine and Pulmonary Drug Delivery, 35(5), 239–251.

Global Collaboration and Leadership

He has established successful collaborations with regulatory authorities like the US FDA, academic partners globally, and industries. His role in leading research teams, managing significant projects, and fostering collaborations reflects his leadership and organizational capabilities, which are critical attributes for this award.

Conclusion

Dr. Dipesh Khanal’s profound contributions to nanotechnology, drug delivery systems, and his leadership in pharmaceutical research make him an excellent contender for the Research for Best Researcher Award. His work not only demonstrates scientific innovation but also holds real-world applicability in medicine, regulatory science, and industrial research. His accomplishments align well with the award’s emphasis on research innovation, publication record, and community impact.

 

 

Uzma Tabassam | High Energy Physics | Best Researcher Award

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Dr. Uzma Tabassam | High Energy Physics | Best Researcher Award 

Dr. Uzma Tabassam, COMSATS University Islamabad, Islamabad Pakistan, Pakistan

Dr. Uzma Tabassam is a dedicated physicist specializing in experimental nuclear astrophysics and high-energy physics. With a Ph.D. from the University of Camerino, Italy, and extensive experience in particle detector technology, Dr. Tabassam is a leading figure in experimental nuclear research at COMSATS University Islamabad. She excels in particle detector fabrication, simulations, and spectroscopy, playing an active role in global physics collaborations like the ALICE experiment.

PROFILE

Google Scholar Profile

Educational Details

Dr. Tabassam completed her Ph.D. in Experimental Nuclear Astrophysics at the University of Camerino, Italy, from 2009 to 2012. She holds an MS in Physics with a specialization in Quantum Computation and Nano-science from COMSATS Institute of Information Technology, Islamabad, which she earned in 2008. Her foundational academic journey began with an MSc in Physics from Quaid-i-Azam University, Islamabad, from 2003 to 2006, followed by a BSc in Physics from Islamabad College for Girls, F-6/2, Pakistan, between 2001 and 2003.

Professional Experience

With a strong focus on experimental nuclear physics and high energy physics, Dr. Tabassam has been involved in various collaborative research projects, including the ALICE experiment at CERN. Her work entails using advanced simulation tools like GEANT4 and Monte Carlo event generators (HIJING2.0, PYTHIA8, UrQMD, EPOS-LHC, and more) for the analysis of particle interactions. She has extensive experience in detector construction, UHV fabrication, and operating sophisticated tools such as electron microscopes and spectroscopic detectors (NaI(Tl), HPGe, SSBD, BF3).

Research Interest

Experimental Nuclear Astrophysics

High-Energy Physics Phenomenology

Particle Detector Fabrication

GEANT4 Simulations

Particle Spectroscopy Her contributions to these fields help advance the understanding of particle interactions at the nuclear and astrophysical levels.

Skills and Competencies

Proficient in O2 software and AliRoot for ALICE experiment data analysis

Expertise in Monte Carlo event generators such as PYTHIA8, UrQMD, and EPOS

Advanced user of ROOT data analysis framework and GEANT4 simulations

C++ programming for simulation and analysis

Particle detector fabrication (UHV) and spectroscopy with detectors like NaI(Tl), HPGe, SSBD, and BF3

Experience with front-end electronics for alpha, beta, and gamma spectroscopy

Proficiency in Linux, Latex, Microsoft Word, and Origin for data analysis

Top Notable Publications

Enhanced production of multi-strange hadrons in high-multiplicity proton–proton collisions

Authors: J Adam, D Adamová, MM Aggarwal, G Aglieri Rinella, M Agnello, et al.

Journal: Nature Physics

Volume: 13 (6), Pages 535-539

Year: 2017

Citations: 1802

Anisotropic Flow of Charged Particles in Pb-Pb Collisions at

Authors: J Adam, D Adamová, MM Aggarwal, G Aglieri Rinella, M Agnello, et al.

Journal: Physical Review Letters

Volume: 116 (13), 132302

Year: 2016

Citations: 465

Production of charged pions, kaons, and (anti-)protons in Pb-Pb and inelastic collisions at TeV

Authors: S Acharya, D Adamová, SP Adhya, A Adler, J Adolfsson, MM Aggarwal, et al.

Journal: Physical Review C

Volume: 101 (4), 044907

Year: 2020

Citations: 450

Transverse momentum spectra and nuclear modification factors of charged particles in pp, p-Pb and Pb-Pb collisions at the LHC

Authors: S Acharya, FT Acosta, D Adamová, J Adolfsson, MM Aggarwal, et al.

Journal: Journal of High Energy Physics

Year: 2018 (11), Pages 1-33

Citations: 422

Measurement of D0, D+, D+ and Ds+ production in Pb-Pb collisions at TeV*

Authors: S Acharya, FT Acosta, D Adamová, J Adolfsson, MM Aggarwal, et al.

Journal: Journal of High Energy Physics

Year: 2018 (10), Pages 1-35

Citations: 421

Differential studies of inclusive J/ψ and ψ(2S) production at forward rapidity in Pb-Pb collisions at TeV

Authors: J Adam, D Adamová, MM Aggarwal, G Aglieri Rinella, M Agnello, et al.

Journal: Journal of High Energy Physics

Year: 2016 (5), Pages 1-49

Citations: 371

Multiplicity dependence of light-flavor hadron production in collisions at

Authors: S Acharya, FT Acosta, D Adamová, A Adler, J Adolfsson, MM Aggarwal, et al.

Journal: Physical Review C

Volume: 99 (2), 024906

Year: 2019

Citations: 335

Conclusion

Based on her academic credentials, significant research contributions, and extensive skillset, Dr. Uzma Tabassam is highly suitable for the Best Researcher Award. Her expertise in experimental high-energy physics and nuclear astrophysics, along with her involvement in global research collaborations, makes her a prime candidate to be recognized for her outstanding contributions to the scientific community.

 

 

Ahmed Aberqi | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ahmed Aberqi | Mathematics | Best Researcher Award 

Assoc. Prof. Dr. Ahmed Aberqi, National School of Applied Sciences, Fez, Morocco

Assoc. Prof. Dr. Ahmed Aberqi is a tenured Assistant Professor at the National School of Applied Sciences (ENSA), Fez, Morocco. He earned his Ph.D. in Mathematics with a focus on partial differential equations from Sidi Mohamed Ben Abdellah University in 2014 and completed his habilitation in 2019, specializing in fractional differential equations and optimal control. His research interests include functional analysis, control theory, fractional calculus, and operator theory. Dr. Aberqi is actively involved in teaching mathematics and data analysis to engineering students and contributes to projects related to artificial intelligence and big data.

PROFILE

Orcid Profile

Educational Details

Habilitation to Direct Research (Mathematics), Specialization in Partial Differential Equations & Optimal Control, National School of Applied Sciences, Sidi Mohamed Ben Abdellah University, September 2019.
Habilitation Report: Control of Fractional Differential Equations: Theory & Applications.

Ph.D. in Mathematics, Specialization in Partial Differential Equations, Faculty of Sciences, Sidi Mohamed Ben Abdellah University, November 2014.
Thesis: Renormalized and Entropy Solutions for Nonlinear PDEs and Coupled Systems.

M.Sc. in Mathematics, Informatics, and Applications (MIA), Faculty of Sciences, Sidi Mohamed Ben Abdellah University, 2011.
Thesis: Boundary Value Problems in Variable Exponent Spaces.

Professional Experience

Dr. Ahmed Aberqi has been a tenured Assistant Professor at the National School of Applied Sciences (ENSA) of Fez since November 2016, teaching courses in mathematical analysis, algebra, and numerical analysis to engineering students. He has also served as a part-time professor at Euromed University of Fez and the High School of Technology, focusing on topics such as real analysis, integral calculus, high-dimensional statistics, and data analysis. He has actively contributed to research initiatives, particularly in the project “Artificial Intelligence and Big Data for Intelligent Management of the Craft and Tourism Industries,” supported by Morocco’s National Center for Scientific and Technical Research.

Research Interest

Dr. Aberqi’s research focuses on functional analysis, partial differential equations, operator theory, control theory, fractional calculus, and optimal control. He has worked extensively on the controllability, stability, and stabilization of systems, as well as high-dimensional statistics and Bayesian methods.

Computer Skills

Programming Languages: C/C++, LaTeX, basic Java

Database Management: SQL Server, Access, Merise

Operating Systems: Windows XP/7/8/8.1, Linux (Debian), Mac OS

Software: Microsoft Office, Catia V5, Maple 13, Matlab, Eclipse, Solver Excel, SageMath.

Mathematical Skills

Calculus, Algebra

Analysis of Partial Differential Equations

Linear Programming, Convex Optimization, Constrained Optimization

Controllability, Stability, Optimal Control

Variational Calculus, Operator Theory

Statistics, Time Series Analysis, Bayesian Statistics, High-Dimensional Statistics

Top Notable Publications

“Fractional Caputo Operator and Takagi–Sugeno Fuzzy Modeling to Diabetes Analysis”

Published in: Symmetry

Date: October 19, 2024

DOI: 10.3390/sym16101395

Source: Crossref

Citation information: Not yet available as it is a recent publication.

“OPT-FRAC-CHN: Optimal Fractional Continuous Hopfield Network”

Published in: Symmetry

Date: July 18, 2024

DOI: 10.3390/sym16070921

Source: Crossref

Citation information: Not yet available as it is a recent publication.

“Fractional Sobolev Spaces with Kernel Function on Compact Riemannian Manifolds”

Published in: Mediterranean Journal of Mathematics

Date: January 2024

DOI: 10.1007/s00009-023-02517-9

Source: Crossref

Citation information: Not yet available as it is a recent publication.

“Morse’s Theory and Local Linking for a Fractional (p1(x.,),p2(x.,))(p_{1}(\textrm{x}.,), p_{2}(\textrm{x}.,)): Laplacian Problems on Compact Manifolds”

Published in: Journal of Pseudo-Differential Operators and Applications

Date: September 2023

DOI: 10.1007/s11868-023-00535-5

Source: Crossref

Citation information: Not yet available.

“Weak Solvability of Nonlinear Elliptic Equations Involving Variable Exponents”

Published in: Discrete and Continuous Dynamical Systems – S

Date: 2023

DOI: 10.3934/dcdss.2022105

Source: Crossref

Citation information: Not yet available.

Conclusion

Assoc. Prof. Dr. Ahmed Aberqi’s research excellence, combined with his extensive academic experience and contributions to applied mathematics, positions him as an outstanding candidate for the Best Researcher Award. His work in partial differential equations, optimal control, and fractional calculus not only advances mathematical theory but also contributes to practical applications, enhancing his research’s societal relevance. His dedication to teaching and involvement in interdisciplinary projects further solidify his credentials for this prestigious award.