T Pramod | Engineering | Best Researcher Award

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Mr. T Pramod | Engineering | Best Researcher Award

Research Scholar at Kalasalingam Academy of Research and Education, India

T. Pramod is a dedicated mechanical engineering professional with significant experience in research and development. He holds a Master’s degree in Engineering by Research from Visvesvaraya Technological University, specializing in mechanical systems. Pramod has worked with leading organizations like ISRO, TERI, CPRI, and CMTI, focusing on cutting-edge research in thermal spray coatings, polymer nano composites, and mechanical characterization. His passion for innovation and technical excellence is reflected in his contributions to scientific publications and technical committees. His experience spans metrology, optics inspection, and the development of fire retardant nano composites. 🌟🔬📚

Professional Profile

Orcid

Education and Experience:

Education:

  • M.Sc. Engineering by Research (Mechanical), Visvesvaraya Technological University & Central Power Research Institute, Bangalore – 62.83% (2018) 🎓
  • B.E. (Mechanical), Visvesvaraya Technological University, M.V.J College of Engineering, Bangalore – 64.17% (2011) 🎓
  • PUC (PCMB), Pre University Board, Sree Cauvery College, Bangalore – 54.33% (2007) 🎓
  • SSLC (Science), Central Board, Kendriya Vidyalaya D.R.D.O Township, Bangalore – 58.60% (2005) 🎓

Experience:

  • Technical Assistant, Laboratory for Electro Optics Systems (LEOS-ISRO), Bangalore (Sept 2023 – Feb 2024) 🛠️
  • Research Consultant, The Energy and Resources Institute (TERI-SRC), Bangalore (Jan 2018 – Nov 2022) 🔬
  • Research Fellow, Central Power Research Institute (CPRI), Bangalore (May 2013 – July 2016) 🔬
  • Graduate Engineer, Central Manufacturing Technology Institute (CMTI), Bangalore (Sept 2011 – May 2013) ⚙️

Professional Development:

Pramod has been actively involved in advancing his technical skills and knowledge. He has participated in numerous professional forums, including being a technical committee member at national conferences such as the Additive Manufacturing in Aerospace and Defense and Residual Stress Seminar. He serves as a review board member in Medicon Engineering Themes and as an associate editor for PriMera Scientific Publications. His contributions to various research areas are evident in the manuscripts he reviews, such as investigations into erosion damage and the conductivity of polymer composite electrolytes. 📚🌐💡

Research Focus:

Pramod’s research primarily revolves around advanced materials and manufacturing processes, with a focus on thermal spray coatings, polymer nano composites, and erosion behavior in mechanical systems. He has worked on developing fire retardant materials, particularly for medium voltage cable sheathing applications. Additionally, his research includes cavitation effects on hydro turbine steels and coatings, showcasing his expertise in experimental and numerical methods for analyzing material behavior under harsh conditions. His work aims to innovate and enhance material properties for industrial applications. 🔬⚙️💡

Awards and Honors:

  • Review Board Member, Medicon Engineering Themes (ISSN2834-7218) 📜
  • Associate Editor, PriMera Scientific Publications 📜
  • United Group Research Award, for outstanding research (2019) 🏆
  • Gold Medal, for securing 1st class in B.Sc. (Hons.) Physics 🥇

Publication Top Notes

  • Title: Mechanical and flame retardant characteristics of PC/ABS composites: effect of loading co-microencapsulated flame retardant additive along with silane treated nanoclay and functionalized MWCNT as fillers
    Authors: T. Pramod
    Journal: Advanced Composite Materials
    Year: 2025
    DOI: 10.1080/09243046.2025.2475600
    If you’re looking for the full text, you can usually access the publication through academic databases or the journal’s website using the DOI link provided. Alternatively, if you don’t have access, you might consider requesting it through your institution’s library or reaching out directly to the author for a copy.

Shakil Ahmed | Engineering | Best Researcher Award

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Prof. Shakil Ahmed | Engineering | Best Researcher Award

Assistant Processor, Term at Iowa State University, United States

Shakil Ahmed is an Assistant Teaching Professor in Computer Engineering at Iowa State University (ISU), specializing in AI/ML, cybersecurity, IoT, cloud computing, and advanced networking. With a Ph.D. in Computer Engineering from ISU (2023) and over 2,000 citations across 35+ publications, he leads cutting-edge research on AI-driven solutions, digital twins, and quantum networks. As a principal investigator (PI), he mentors undergraduate, MS, and Ph.D. students while actively securing external grants. His expertise spans reinforcement learning, large language models, explainable AI, and meta-learning, contributing to pioneering advancements in next-gen networking and intelligent systems. 🚀🔍

Professional Profile

Education & Experience 📚👨‍🏫

  • Ph.D. in Computer Engineering – Iowa State University (2023) 🎓
  • M.S. in Electrical Engineering – Utah State University (2019) ⚡
  • B.S. in Electrical and Electronic Engineering – Khulna University of Engineering & Technology, Bangladesh (2014) 🏅
  • Assistant Teaching Professor – Iowa State University (2024–Present) 🎓
  • Researcher & PI – Leading projects on AI, 6G, cybersecurity, IoT, and digital twins 🔬
  • Advisor & Mentor – Supervising undergraduate, MS, and Ph.D. students in advanced networking and AI 🧑‍🎓

Professional Development 📈🧠

Shakil Ahmed actively contributes to AI-driven networking, secure systems, and IoT advancements. He plays a vital role in research funding, securing grants exceeding millions of dollars. As a guest editor at MDPI and reviewer for 150+ articles, he ensures high research standards. His teaching experience spans multiple STEM courses, where he integrates hands-on learning tools like Zybooks and Canvas. He has delivered invited talks on next-gen wireless technologies and collaborates with multidisciplinary teams to shape the future of AI, cloud computing, and quantum networking. His work has significantly impacted academia, research, and industry. 🚀🔬📡

Research Focus 🏆🔍

Shakil Ahmed’s research is at the intersection of AI, networking, and cybersecurity, with a focus on:

  • AI/ML & Deep Learning – Reinforcement Learning (RL), Large Language Models (LLM), Explainable AI (XAI) 🤖
  • Cybersecurity & Quantum Networking – Secure network protocols, quantum neural networks (QNN) 🔒
  • IoT & Cloud Computing – System design for connected environments, mobile edge computing ☁️
  • Digital Twin & 6G+ Networks – AI-driven tactile internet, smart infrastructure, and futuristic networking 🌍📡
    His work integrates cutting-edge AI techniques, optimization frameworks, and network simulations to solve real-world challenges.

Awards & Honors 🏅🎖️

  • Professional Development Fund – Iowa State University ($10,000) 💰
  • Presidential Fellowship – Utah State University ($90,000) 🏆
  • Best Paper Award – IEEE International Conference on Informatics, Electronics, and Vision (2016) 🥇
  • Graduate & Professional Student Senate Research Award – ISU ($700) 📜
  • ECpE Department Support Grant – ISU ($600) 🎓
  • Professional Advancement Grant (PAG) – ISU ($400) 🎖️
  • Military Communications Conference Student Travel Grants – 2021 & 2022 ($1,000) ✈️
  • Graduate & Professional Student Council Grant – ISU ($750) 🏅
  • ECE Department Support Grant – Utah State University ($1,000) 🏆

Publication Top Notes

  1. 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions

    • Authors: Mostafa Zaman Chowdhury, Md. Shahjalal, Shakil Ahmed, Yeong Min Jang
    • Journal: IEEE Open Journal of the Communications Society
    • Year: 2020
    • Citation: Chowdhury, M. Z., Shahjalal, M., Ahmed, S., & Jang, Y. M. (2020). 6G Wireless Communication Systems: Applications, Requirements, Technologies, Challenges, and Research Directions. IEEE Open Journal of the Communications Society, 1, 957–975.

  2. Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Access
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks. IEEE Access, 8, 21215–21225.

  3. Energy-Efficient UAV Relaying Communications to Serve Ground Nodes

    • Authors: Shakil Ahmed, Mostafa Zaman Chowdhury, Yeong Min Jang
    • Journal: IEEE Communications Letters
    • Year: 2020
    • Citation: Ahmed, S., Chowdhury, M. Z., & Jang, Y. M. (2020). Energy-Efficient UAV Relaying Communications to Serve Ground Nodes. IEEE Communications Letters, 24(4), 849–852.

  4. Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT

    • Authors: Hao Sun, Qiang Wang, Shakil Ahmed, Rose Hu
    • Conference: IEEE Vehicular Technology Conference (VTC Spring)
    • Year: 2017
    • Citation: Sun, H., Wang, Q., Ahmed, S., & Hu, R. (2017). Non-Orthogonal Multiple Access in a mmWave Based IoT Wireless System with SWIPT. In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring) (pp. 1–5).

  5. A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology

    • Authors: Shakil Ahmed, Md Rashid, Farzana Alam, B. Fakhruddin
    • Conference: 2019 29th International Telecommunication Networks and Applications Conference (ITNAC)
    • Year: 2019
    • Citation: Ahmed, S., Rashid, M., Alam, F., & Fakhruddin, B. (2019). A Disaster Response Framework Based on IoT and D2D Communication Under 5G Network Technology. In 2019 29th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 20–25).

 

Shengnan Zhang | Engineering | Best Researcher Award

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Dr. Shengnan Zhang | Engineering | Best Researcher Award

None  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021–2024). She earned her master’s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020–2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.

Weidong Zhao | Engineering | Best Researcher Award

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Assist. Prof. Dr. Weidong Zhao | Engineering | Best Researcher Award  

Assist. Prof. Dr. Weidong Zhao, Taiyuan University of Technology, China

Dr. Weidong Zhao is a renowned materials scientist specializing in gradient nanostructures and surface engineering. His pioneering discovery of using gradient nanostructures to enhance wear and fatigue resistance in aviation metals has led to significant advancements in the field. His work addresses the longstanding challenge of balancing strength and fatigue resistance in difficult-to-process materials like ultra-high-strength steel and titanium alloys. He has published over 20 SCI papers in international journals and developed innovative surface strengthening systems recognized worldwide for their social and economic significance.

Dr. Zhao’s contributions are highly regarded in industries such as aviation, aerospace, and nuclear engineering, where his methods have practical applications in improving metal durability and serviceability.

PROFILE

Scopus  Profile

Educational Detail

Ph.D. in Materials Science and Engineering, Focus on Gradient Nanostructures.

Master’s Degree in Materials Engineering, Specialized in Metal Surface Strengthening Techniques.

Bachelor’s Degree in Mechanical Engineering, Emphasis on Material Fatigue and Wear Resistance.

Professional Experience

Dr. Zhao is an Assistant Professor at the Taiyuan University of Technology, where he leads groundbreaking research on material surface engineering and gradient nanostructures. He has hosted and contributed to multiple high-impact research projects, including the prestigious National Science Foundation CAREER program (Grant No. CMMI 1847247) and the National Natural Science Foundation of China (Grant No. 52405403). Dr. Zhao has trained a number of master’s students, equipping them with expertise in advanced material science techniques.

Research Interests

Dr. Zhao’s research focuses on:

Gradient nanostructures for improving wear and fatigue resistance in metals.

Surface strengthening methods using multi-energy fields, including electric pulse-assisted plastic deformation.

Application of innovative techniques for improving metal serviceability in aviation, aerospace, and nuclear industries.

 

Top Notable Publications

Improvement of Corrosion and Wear Resistances of 300M Ultra High Strength Steel by Low Temperature Cathode Assisted Plasma Nitriding

Authors: Zhao, W., Liu, D., Hao, Z., Liu, Q., Zhao, J.

Journal: Surface and Coatings Technology

Year: 2024

Volume: 479, Article ID: 130518

Citations: 3

Influence of Pre-corrosion and Pre-fatigue on Fretting Fatigue Behavior of 30CrMnSiA Bolt Steel

Authors: Yang, T., Luo, W., Feng, L., Deng, W., Zhang, C.

Journal: Cailiao Daobao/Materials Reports

Year: 2024

Volume: 38(23), Article ID: 24030063

Citations: 0

Rapid Formation of a Surface Ceramic Protective Film on Ti-6Al-4V Alloy Following Laser-Assisted Ultrasonic Nanocrystal Surface Modification

Authors: Zhao, W., Liu, D., Ye, Y., Dong, Y., Ye, C.

Journal: Journal of Alloys and Compounds

Year: 2023

Volume: 965, Article ID: 171298

Citations: 4

Effect of the Ultrasonic Surface Rolling Process and Plasma Electrolytic Oxidation on the Hot Salt Corrosion Fatigue Behavior of TC11 Alloy

Authors: Shi, H., Liu, D., Jia, T., Zhang, X., Zhao, W.

Journal: International Journal of Fatigue

Year: 2023

Volume: 168, Article ID: 107443

Citations: 16

Improving Peening Efficacy Through High-Amplitude Short Duration Pulsed Current

Authors: Zhao, W., Liu, D., Zhang, H., Ye, C., Ding, H.

Journal: Journal of Alloys and Compounds

Year: 2022

Volume: 926, Article ID: 166987

Citations: 13

Improving Fatigue Performance of TiZrN/TiZr-Coated Ti-6Al-4V Alloy by Inducing a Stable Compressive Residual Stress Field

Authors: Ma, A., Liu, D., Zhang, X., Wang, R., He, G.

Journal: Journal of Alloys and Compounds

Year: 2022

Volume: 925, Article ID: 166799

Citations: 13

Effect of Pre-Hot Salt Corrosion on Hot Salt Corrosion Fatigue Behavior of the TC11 Titanium Alloy at 500 °C

Authors: Shi, H., Liu, D., Zhang, X., Jia, T., Zhao, W.

Journal: International Journal of Fatigue

Year: 2022

Volume: 163, Article ID: 107055

Citations: 16

Improvement of Traction-Traction Fatigue Properties of A100 Steel Plate-Hole-Structure by Double Shot Peening

Authors: Zhi, Y., Zhang, X., Liu, D., Wang, J., Cheng, S.

Journal: International Journal of Fatigue

Year: 2022

Volume: 162, Article ID: 106925

Citations: 11

Effect of Plasma Electrolytic Oxidation on the Hot Salt Corrosion Fatigue Behavior of the TC17 Titanium Alloy

Authors: Shi, H., Liu, D., Zhang, X., Li, M., He, Y.

Journal: Materials and Corrosion

Year: 2022

Volume: 73(4), Pages: 558–572

Citations: 8

Fatigue Performance Improvement of 7075-T651 Aluminum Alloy by Ultrasonic Nanocrystal Surface Modification

Authors: Zhang, R., Chiang, R., Ren, Z., Dong, Y., Ye, C.

Journal: Journal of Materials Engineering and Performance

Year: 2022

Volume: 31(3), Pages: 2354–2363

Citations: 5

Conclusion

Dr. Zhao exemplifies innovation, excellence, and leadership in engineering research. His breakthroughs in gradient nanostructures and metal strengthening systems hold transformative potential across multiple industries, making him an ideal candidate for the Best Researcher Award. His dedication to advancing knowledge and his substantial impact on engineering and material sciences underscore his suitability for this recognition.

 

 

 

 

 

 

 

 

 

 

 

 

Svetislav Savovic | Engineering | Best Researcher Award

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Prof. Dr. Svetislav Savovic | Engineering | Best Researcher Award

prof. Dr. Svetislav Savovic, University of Kragujevac, Serbia

prof. dr svetislav savovic is a distinguished physicist and professor at the university of kragujevac, serbia. With extensive expertise in optics, computational physics, and nuclear physics, he has contributed significantly to research in photonics, material science, and radiation measurements. He has collaborated with leading international institutions and is actively involved in advancing optical fiber technologies and experimental nuclear physics.

PROFILE

Scopus Profile

Educational Detail

PhD in Physics, university of kragujevac, serbia

MSc in Physics, university of belgrade, serbia

BSc in Physics, university of kragujevac, serbia

Professional Experience

Professor, university of kragujevac, faculty of science, serbia
December 2009 – present

Associate Professor, university of kragujevac, faculty of science, serbia
February 2004 – December 2009

Assistant Professor, university of kragujevac, faculty of science, serbia
September 1997 – February 2004

Visiting Professor/Researcher Positions:

Sapienza University of Rome, Italy (December 2019)

University of Applied Sciences, Leipzig, Germany (June 2018)

Polytechnic University of Hong Kong, Hong Kong (2015-2017, multiple terms)

City University of Hong Kong, Hong Kong (Senior Research Fellow, 3 years, 2000-2019)

Centre Recherche Nucleaires (CRN), Strasbourg, France (May-June 1991)

Aristotle University, Thessaloniki, Greece (Multiple terms, 1990-2009)

International Centre for Theoretical Physics, Trieste, Italy (1988-1990)

University of Poznan and University of Krakow, Poland (September-October 1990)

Teaching Experience

prof. savovic has extensive teaching expertise in the following areas:

Photonics

Metrology

Experimental techniques in physics

Numerical methods and simulations in physics

Informatics and computer programming

Laboratory of modern physics

Biophysics

Atomic physics

Monte-Carlo methods

Nuclear physics

Computational biophysics

Research Interests

Optics and photonics

Computational physics

Monte-Carlo methods

Partial differential equations

Experimental nuclear physics

Radiation measurements

Material science

Research Projects

Computer modeling of deflection-curvature sensors (1999-2000, Hong Kong)

Modal curvature gauge development (2000-2003, Hong Kong)

Mode coupling and power transfer in polymer optical fibers (2005-2009, Hong Kong)

Effects of gamma radiation on step-index plastic optical fibers (2011-2012, Hong Kong)

Advancements in W-type and graded-index plastic optical fibers (2013-2019, Hong Kong)

Characterization and design of photonic crystal fibers (2021-2025, Serbia, Hong Kong, UAE)

Nuclear Physics:

High-energy experimental nuclear physics (1997-2000, Serbia)

Standard Model parameter measurements and new particle searches (2006-2010, CERN, Geneva)

Member of the ATLAS collaboration at CERN (2006-2010)

Mathematics:

Numerical solutions for Stefan problems with accuracy and efficiency emphasis (2002-2003, Hong Kong)

Key Achievements

Long-term international collaborations across Europe and Asia.

Published groundbreaking research in optics and nuclear physics.

Developed innovative optical fiber technologies for sensing and data transmission.

Contributed to the ATLAS experiment at CERN, advancing particle physics research.

Top Notable Publications

Interference mitigation using optimised angle diversity receiver in LiFi cellular network
Zeng, Z., Chen, C., Wu, X., Safari, M., Haas, H.
Optics Communications, 2025, 574, 131125.
Citations: 0

Theoretical investigation of the space division multiplexing capacity of multimode step-index plastic optical fibers
Savović, S., Aidinis, K., Chen, C., Min, R.
Optik, 2024, 311, 171945.
Citations: 0

Influence of launch light beam conditions on the bandwidth in multimode graded-index microstructured POFs
Simović, A., Savović, S., Drljača, B., Chen, C., Min, R.
Applied Optics, 2024, 63(22), pp. 5926–5930.
Citations: 0

Enhancing OFDM with index modulation using heuristic geometric constellation shaping and generalized interleaving for underwater VLC
Zhao, Y., Chen, C., Zhong, X., Lin, B., Savović, S.
Optics Express, 2024, 32(8), pp. 13720–13732.
Citations: 5

Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review
Drljača, B., Savović, S., Simović, A., Aidinis, K., Min, R.
Optical and Quantum Electronics, 2024, 56(4), 547.
Citations: 2

0.5-bit/s/Hz fine-grained adaptive OFDM modulation for bandlimited underwater VLC
Nie, Y., Chen, C., Savović, S., Zeng, Z., Shen, G.
Optics Express, 2024, 82(3), pp. 4537–4552.
Citations: 4

New method for the investigation of mode coupling in graded-index polymer photonic crystal fibers using the Langevin stochastic differential equation
Savović, S., Djordjevich, A., Aidinis, K., Chen, C., Min, R.
Frontiers in Physics, 2024, 12, 1479206.
Citations: 0

Wavelength dependent transmission in multimode graded-index microstructured polymer optical fibers
Simović, A., Savović, S., Wang, Z., Aidinis, K., Chen, C.
Frontiers in Physics, 2024, 12, 1340505.
Citations: 1

Theoretical and experimental investigation of the steady-state power distribution in multimode step-index plastic optical fibers
Dai, W., Savović, S., Zhao, C., Shao, R., Min, R.
Optical Fiber Technology, 2023, 81, 103531.
Citations: 2

Investigation of mode coupling in strained and unstrained multimode step-index POFs using the Langevin equation
Savović, S., Aidinis, K., Djordjevich, A., Min, R.
Heliyon, 2023, 9(7), e18156.
Citations: 1

Conclusion

Considering Prof. Dr. Svetislav Savovic’s vast academic qualifications, prolific research contributions, and impactful teaching and international collaborations, he is highly suitable for the Research for Best Researcher Award. His career epitomizes the values of innovation, academic excellence, and societal impact that the award seeks to honor.

 

 

 

 

 

 

 

 

 

 

 

 

Thi Hong Nhung Vu | Engineering | Best Researcher Award

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Dr. Thi Hong Nhung Vu | Engineering | Best Researcher Award 

Dr. Thi Hong Nhung V,  Vietnam National University of Forestry at Dong Nai, Vietnam

Dr. thi hong nhung v is a dedicated researcher and educator with nearly two decades of experience in teaching and research. Her studies have spanned multiple disciplines, focusing on the development of nanofibrous materials and composite biomaterials for medical and ecological applications. Her contributions include enhancing the fabrication and efficiency of PVA and PVA-chitosan nanofibers, with practical applications in drug delivery systems. An active participant in the academic community, she has attended numerous international conferences and has a strong publication record in high-impact journals. Dr. thi hong nhung v continues to innovate in the fields of nano biomaterials and bioengineering, driving advancements in both academia and applied sciences.

PROFILE

Orcid  Profile

Educational Detail

Dr. thi hong nhung v holds advanced degrees in fields related to biopolymers, nanomaterials, and bioengineering. She pursued her studies both in Vietnam and the Russian Federation. In Vietnam, she specialized in natural component extraction, while in the Russian Federation, her focus shifted to the development of nanofibrous materials for drug integration. Her education was complemented by projects involving artificial intelligence, optotechnics, bioengineering, and composite biomaterials.

Professional Experience

Dr. thi hong nhung v has 19 years of experience as a secondary school teacher and university lecturer in Vietnam. She has participated in and contributed to three significant research projects:

Artificial intelligence methods for cyber-physical systems.

Development of methods and tools for applied problems in optotechnics and bioengineering.

Composite biomaterials and technologies for ecophotonics and medicine.

Over the past five years, she has attended 12 international scientific conferences and published nine research articles in reputable journals indexed in SCI and Scopus. She has also contributed to book publications, with one carrying the ISBN 978-3-031-26907-3.

Research Interests

Dr. thi hong nhung v’s research interests include:

Biopolymers and polymers

Nano biomaterials and electrospinning

Nano biochemistry and nanomaterials

Her work focuses on developing and improving PVA and PVA-chitosan nanofibers, emphasizing solution composition, technological parameters, and the use of multicomponent solvent systems to enhance material properties and drug incorporation efficiency.

Top Notable Publications

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol/Chitosan Nanofibers Created from Aqueous Solution with Acetic Acid and Ethanol by the Electrospinning Method. Polymers, 2024, 16(23), 3393. DOI: 10.3390/polym16233393.

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol—Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method. Preprint, 2024. DOI: 10.20944/preprints202410.0296.v1.

thi hong nhung v, The Influence of Acetic Acid and Ethanol on the Fabrication and Properties of Poly(Vinyl Alcohol) Nanofibers Produced by Electrospinning. Polymer Bulletin, 2024, 81, 768-780. DOI: 10.1007/s00289-024-05168-2.

thi hong nhung v, A Systematic Investigation of Solution and Technological Parameters for the Fabrication and Characterization of Poly(Vinyl Alcohol–Chitosan) Electrospun Nanofibers. Polymers for Advanced Technologies, 2024, 35(5), 6423. DOI: 10.1002/pat.6423.

thi hong nhung v, Tafamidis Drug Delivery Systems Based on Chitosan/Polyvinyl Alcohol Matrix. ASEC 2023 Conference Proceedings, 2023. DOI: 10.3390/ASEC2023-15905.

thi hong nhung v, Fabrication of Polyvinyl Alcohol Nanofibers for the Delivery of Biologically Active Molecules. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022, pp. 117-123. DOI: 10.1109/iecbes54088.2022.10079434.

thi hong nhung v, Investigation of the Fabrication of Nanofibers from Aqueous Polyvinyl Alcohol Solutions by Electrospinning. Proceedings of the Voronezh State University of Engineering Technologies, 2022, 2, 210-220. DOI: 10.20914/2310-1202-2022-2-210-220.

Conclusion 

Based on her academic achievements, impactful research contributions, and interdisciplinary approach, Dr. Thi Hong Nhung V is an exemplary candidate for the Research for Best Researcher Award. Her work has significantly advanced the fields of nanotechnology and biomaterials, contributing to both scientific progress and practical applications in medicine and engineering.

 

 

 

 

 

 

 

 

 

 

Solmaz Kahourzade | Electrical | Excellence in Research

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Dr. Solmaz Kahourzade | Electrical | Excellence in Research

Dr. Solmaz Kahourzade, University of south australia, Australia

Dr. Solmaz Kahourzade is a prominent scholar and researcher in the field of electrical engineering, specializing in electrical machines, power systems, and electromobility. With over 30 years of experience in academia and industry, Dr. Kahourzade has made significant contributions to the design, modeling, and analysis of electrical machines and systems. Currently an Associate Professor at the University of South Australia, he also serves as the Head of the Department of Electrodynamics and Electrical Machine Systems at Rzeszow University of Technology in Poland. He has authored over 100 technical papers and co-authored four books, marking him as a key thought leader in his field.

PROFILE

Orcid Profile

Educational Details

Dr. Kahourzade’s academic journey began with a Bachelor’s degree in Electrical Engineering from Rzeszow University of Technology, followed by a Ph.D. in Electrical Engineering from the Silesian University of Technology in 2003. He was later awarded a DSc (Doctor of Sciences) from Rzeszow University of Technology in 2014, solidifying his expertise and scholarly contributions to electrical engineering.

Professional Experience

Dr. Kahourzade has held multiple esteemed roles in academia and industry, including serving as Assistant Professor, Associate Professor, and now as the Head of the Department of Electrodynamics and Electrical Machine Systems at Rzeszow University of Technology. He was also the Dean of the Faculty of Electrical and Computer Engineering from 2019 to 2020. In addition to his academic career, Dr. Kahourzade worked as a Consultant at YASA Motors Poland (2017-2018), where he focused on electrical machines, particularly for automotive applications. His extensive teaching and leadership roles have earned him a reputation as an expert in his field.

Research Interests

Dr. Kahourzade’s research interests encompass a wide range of topics related to electrical machines and power systems. His work primarily focuses on the design, modeling (2D/3D), and analysis of switched reluctance and brushless permanent magnet motors for automotive, domestic, and hybrid drive systems. He has a particular interest in fault-tolerant and multi-winding, multi-channel drives, as well as their diagnostics. His research also explores electromobility, fuel cells, power engineering, and automation systems, with applications in electric and hybrid vehicles and aircraft hybrid drive systems.

Skills

Dr. Kahourzade is proficient in several CAD programs such as AutoCAD, Inventor, and 3DS Max, along with specialized software tools including Matlab, Ansys, Ansys Electronics, Motor-CAD, and Flux. These tools support his research and design efforts, making him well-versed in both theoretical and practical aspects of electrical engineering and electromobility systems.

Top Notable Publications

FEA-Based Design Procedure for IPMSM and IM for a Hybrid Electric Vehicle

Authors: Not listed in the provided information

Year: 2024

Journal: Applied Sciences

DOI: 10.3390/app142210743

Source: Multidisciplinary Digital Publishing Institute

Bond graph model of line-start permanent-magnet synchronous motors

Authors: Not listed in the provided information

Year: 2024

Journal: Electrical Engineering

DOI: 10.1007/s00202-022-01654-w

HANDLE: 11541.2/31165

ISSN: 0948-7921

Source: The University of South Australia

WOS UID: 000857897300004

Effects of energy sharing and electricity tariffs on optimal sizing of PV-battery systems for grid-connected houses

Authors: Not listed in the provided information

Year: 2024

Journal: Computers and Electrical Engineering

DOI: 10.1016/j.compeleceng.2024.109457

HANDLE: 11541.2/39574

ISSN: 0045-7906

Source: The University of South Australia

WOS UID: 001270734400001

PM-free axial-flux motors for transport electrification

Authors: Not listed in the provided information

Year: 2024

Conference Paper: INTERMAG Short Papers

DOI: 10.1109/INTERMAGShortPapers61879.2024.10576887

ISBN: 9798350362220

HANDLE: 11541.2/39589

Source: The University of South Australia

A study on dual and single stator axial-flux induction machines

Authors: Not listed in the provided information

Year: 2023

Conference Paper: AUPEC 2022

DOI: 10.1109/AUPEC58309.2022.10216007

ISBN: 9798350339567

HANDLE: 11541.2/35874

WOS UID: 001058521300026

Source: The University of South Australia

Conclusion

Dr. Solmaz Kahourzade’s combination of leadership roles in academia, extensive research contributions, and expertise in cutting-edge technologies makes him a highly deserving candidate for the Research for Excellence in Research award. His research not only advances theoretical knowledge but also has significant practical implications in the fields of electromobility, electrical engineering, and power systems. His ongoing contributions to the development of sustainable and efficient electrical systems demonstrate his commitment to addressing global challenges through innovation.

 

 

 

 

 

 

Zhan-Long Wang | Engineering | Best Scholar Award

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Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Bernardine Chidozie | Engineering | Best Researcher Award

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Mrs. Bernardine Chidozie | Engineering | Best Researcher Award

Mrs, Bernardine Chidozie, University of Aveiro, Portugal

Mrs. Bernardine Chidozie is a dedicated researcher and PhD student fellow at the University of Aveiro, Portugal, focusing on digital transformation, simulation modeling, and supply chain optimization, especially in the context of Industry 4.0 and 5.0. Her research employs simulation-based methods and digital tools to improve decision-making and operational performance in complex systems, such as healthcare and sustainable supply chains.

 

PROFILE

Orcid profile

Educational Details

With an academic foundation in engineering, Mrs. Chidozie has contributed significantly to projects like the “Sustainable Supply Chain Management Model for Residual Agroforestry Biomass,” utilizing a web platform to support her research, which began in 2022. Her publications explore the impact of digitalization on supply chains, including the optimization of biomass supply chains for sustainability. She has authored books like Simulation-Based Approaches to Enhance Operational Decision Support in Healthcare 5.0 and published articles in notable journals, such as Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix.

Professional Experience

Professionally, Mrs. Chidozie has been involved in various research and consultancy projects, including industry-relevant studies that analyze the role of simulation and digital transformation in optimizing supply chains. She is an active member of the Council for the Regulation of Engineering in Nigeria (COREN) and collaborates on initiatives that bridge research and real-world applications. Her primary goal is to create innovative, technology-driven strategies to enhance sustainability, efficiency, and resilience in industrial and healthcare sectors.

Research Interests

Digital transformation, simulation modeling, supply chain optimization, Industry 4.0 and 5.0 applications, sustainable biomass supply chains, healthcare systems improvement, and decision-support systems.

Top Notable Publications

Chidozie, B.C. (2024). Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach. Sustainability, Published: 2024-11-07, DOI: 10.3390/su16229709, Source: Crossref.

Chidozie, B.C. (2024). Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach. Logistics, Published: 2024-10-18, DOI: 10.3390/logistics8040107, Source: Crossref.

Chidozie, B.C. (2024). The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study. Production Engineering Archives, Published: 2024-03-01, DOI: 10.30657/pea.2024.30.12, Source: Crossref.

Chidozie, B.C. (2024). Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization – An Empirical Study. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54671-6_15, ISBN: 9783031546709, Source: Crossref.

Chidozie, B.C. (2024). Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54664-8_43, ISBN: 9783031546648, Source: Crossref.

Chidozie, B.C. (2024). Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review. (book chapter), DOI: 10.1007/978-3-031-38165-2_78, Source: Crossref.

 Conclusion

Mrs. Bernardine Chidozie’s research achievements, particularly her focus on digital transformation and sustainable supply chains, make her a suitable candidate for the Best Researcher Award. Her work is relevant and impactful, addressing key challenges in Industry 4.0 and Healthcare 5.0. Her publications, ongoing projects, and industry involvement illustrate her dedication to advancing sustainability and efficiency across industries, marking her as a distinguished researcher in her field.

 

 

 

 

 

Dongmin Shin | Engineering | Best Researcher Award

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Assist. Prof. Dr. Dongmin Shin | Engineering | Best Researcher Award

Assist. Prof. Dr. Dongmin Shin, Gyeongsang National University, South Korea

Dongmin Shin, Ph.D., is an Assistant Professor of Smart Energy and Mechanical Engineering at Gyeongsang National University, South Korea. His expertise encompasses mechanical system reliability and energy solutions, backed by extensive experience in research and academia at institutions like KIMM and KAIST.

PROFILE

Orcid profile

Educational Details

Dr. Shin holds a Ph.D. in Mechanical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), completed in August 2019, where he also earned his M.S. in Ocean System Engineering in February 2015. His foundational studies began at Hanyang University, where he received a B.S. in Mechanical Engineering in 2013, with a break for military service from 2008 to 2010.

Professional Experience

Dr. Shin joined Gyeongsang National University as an Assistant Professor in September 2022. Prior to this, he was a Post-doctoral Researcher at the Korea Institute of Machinery & Materials (KIMM), focusing on reliability assessment in mechanical systems. His academic journey includes roles at KAIST, where he served as a Research Assistant Professor at the Institute for Security Convergence Research, and at Kunsan National University as a Research Professor within the Shipbuilding & Ocean Equipment Industry Empowerment Center. Additionally, he has experience as a Teaching and Research Management Assistant at KAIST, supporting courses in Fluid Mechanics, Numerical Analysis, and mechanical practice, and assisting with 2-D and 3-D wave tank research.

Research Interests

Dr. Shin’s research interests lie in mechanical system reliability, smart energy systems, ocean engineering, and fluid mechanics, with applications in mechanical system safety and energy efficiency.

Top Notable Publications

“Design Analysis Using Evaluation of Surf-Riding and Broaching by the IMO Second Generation Intact Stability Criteria for a Small Fishing Boat”

Authors: Not provided

Year: 2024

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse12112066

“Numerical Study on Compact Design in Marine Urea-SCR Systems for Small Ship Applications”

Authors: Not provided

Year: 2023

Journal: Energies

DOI: 10.3390/en17010187

“Numerical analysis of thermal and hydrodynamic characteristics in aquaculture tanks with different tank structures”

Authors: Not provided

Year: 2023

Journal: Ocean Engineering

DOI: 10.1016/j.oceaneng.2023.115880

“Evaluation of Parametric Roll Mode Applying the IMO Second Generation Intact Stability Criteria for 13K Chemical Tanker”

Authors: Not provided

Year: 2023

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse11071462

“Wave-induced vibration of a fully submerged horizontal cylinder close to a free surface: a theory and experiment”

Authors: Not provided

Year: 2022

Journal: Ships and Offshore Structures

DOI: 10.1080/17445302.2021.1950344

“Assessment of Excessive Acceleration of the IMO Second Generation Intact Stability Criteria for the Tanker”

Authors: Not provided

Year: 2022

Journal: Journal of Marine Science and Engineering

DOI: 10.3390/jmse10020229

Conclusion

Assist. Prof. Dr. Dongmin Shin’s strong educational background, extensive professional experience, innovative research contributions, commitment to teaching and mentoring, and effective research management make him a highly suitable candidate for the Best Researcher Award. His achievements across academia, applied research, and project management reflect the qualities recognized by this award, underscoring his potential to continue contributing meaningfully to engineering and research fields.