Qi Zhang | Mathematical Modeling | Best Researcher Award

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Assoc. Prof. Dr. Qi Zhang | Mathematical Modeling | Best Researcher Award

Senior Researcher at Shandong University, China

Dr. Qi Zhang ๐Ÿ‘จโ€๐Ÿ”ฌ, an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University ๐Ÿ‡จ๐Ÿ‡ณ, is a leading expert in electric vehicles ๐Ÿš—, lithium-ion batteries ๐Ÿ”‹, and power battery management. With a strong focus on energy optimization and modeling, he has contributed extensively to top-tier journals as an Editor-in-Chief, Guest Editor, and reviewer โœ๏ธ. A respected member of IEEE and several national academic committees ๐Ÿ…, Dr. Zhang has organized and chaired major international conferences, shaping the future of clean energy and smart mobility ๐ŸŒ. His active involvement in editorial boards and special issues demonstrates his influence in advancing electrochemical energy research โšก. A passionate academic, Dr. Zhang combines innovation, collaboration, and impact, making him a recognized name in sustainable technology and battery systems research. ๐Ÿ“˜๐Ÿ”ฌ

Professional Profileย 

๐ŸŽ“ Education

Dr. Qi Zhang pursued his academic journey in engineering with a strong foundation in control science and power systems โš™๏ธ. His higher education equipped him with advanced knowledge in battery management systems, lithium-ion technology, and electrical vehicle engineering ๐Ÿ”‹๐Ÿš—. With a keen interest in applied research, he specialized in battery modeling and system optimization, aligning his studies with pressing global energy challenges ๐ŸŒฑ. His academic background laid the groundwork for his impactful research in energy storage and control systems, supported by hands-on experimentation and computational modeling ๐Ÿ“š๐Ÿ’ก. Dr. Zhangโ€™s education has not only shaped his technical abilities but also nurtured his analytical mindset, fostering a deep commitment to innovation, sustainable mobility, and academic excellence ๐Ÿ“–๐Ÿ….

๐Ÿ’ผ Professional Experience

Dr. Qi Zhang is an Associate Senior Researcher at the School of Control Science and Engineering, Shandong University ๐Ÿ‡จ๐Ÿ‡ณ. With years of dedicated service, he has established himself as a key contributor in electric vehicle technologies and battery systems ๐Ÿ”Œ๐Ÿš˜. He has taken on multiple leadership roles including Editor-in-Chief, Guest Editor, and Session Chair at international conferences such as ICIEA and NESD ๐Ÿ“Š๐ŸŒ. His professional affiliations include IEEE, AEIC, and Chinese Electrotechnical Society, reflecting his deep integration into global research networks ๐Ÿค. Dr. Zhangโ€™s work spans across research, academic mentorship, and peer review, demonstrating a balanced blend of theory and real-world application. His industry collaborations and research leadership showcase a career marked by innovation, reliability, and technical excellence ๐Ÿ“ˆ๐Ÿ”.

๐Ÿ”ฌ Research Interests

Dr. Zhang’s research is centered on electric vehicles, lithium-ion batteries, and power battery modeling and management systems ๐Ÿš—๐Ÿ”‹. His work focuses on enhancing the efficiency, safety, and performance of energy storage and electric mobility systems through smart algorithms and control strategies ๐Ÿค–๐Ÿ“ก. He investigates battery thermal dynamics, charging protocols, and electrochemical modeling to improve reliability and longevity of EV systems โฑ๏ธโšก. Additionally, his interest in fractional-order systems and data-driven approaches positions him at the forefront of next-gen battery technology. Dr. Zhangโ€™s interdisciplinary focus bridges the gap between control science, energy sustainability, and intelligent transport systems ๐Ÿ›ฃ๏ธ๐ŸŒ. His research contributes significantly to the green energy transition, paving the way for smarter and more sustainable mobility solutions ๐ŸŒฑ๐Ÿง .

๐Ÿ… Awards and Honors

Dr. Qi Zhangโ€™s dedication to academic excellence has earned him numerous accolades ๐ŸŒŸ. Recognized as an Outstanding Reviewer by top-tier journals like ISA Transactions and Electrical Engineering, he has demonstrated rigorous scholarly commitment and peer evaluation integrity ๐Ÿงพ๐Ÿ”. His editorial leadership in special issues of Symmetry, Energies, Electrochem, and Electronics underlines his recognition as a thought leader in battery research and energy systems ๐Ÿ”‹๐Ÿ“˜. In addition, his roles in professional societies, including IEEE membership and his inclusion in academic committees across Asia and Singapore ๐Ÿ‡ธ๐Ÿ‡ฌ, affirm his influential standing. These honors reflect his consistent impact on the field and his dedication to collaborative progress in clean energy and vehicle electrification โšก๐Ÿš—.

๐Ÿ› ๏ธ Research Skills

Dr. Zhang exhibits a diverse and sophisticated research skillset encompassing battery modeling, control system design, thermal analysis, and intelligent battery management ๐Ÿง ๐Ÿ’ป. His proficiency in computational tools and system simulations allows him to address complex engineering challenges with precision. He is adept at leading multidisciplinary projects, organizing special issues, and reviewing for globally reputed journals, showcasing his editorial and analytical acumen ๐Ÿ“ˆ๐Ÿ“. Additionally, his technical expertise extends to data analysis, algorithm design, and hybrid energy systems, enabling impactful contributions in sustainable technology. With strong communication skills, project coordination capabilities, and collaborative leadership, Dr. Zhang bridges theory and application seamlessly. His combination of technical depth and academic influence positions him as a forward-thinking researcher and innovator ๐ŸŒ๐Ÿ”ฌ.

Publications Top Note ๐Ÿ“

  • Title: A novel fractional variable-order equivalent circuit model and parameter identification of electric vehicle Li-ion batteries
    Authors: Q. Zhang, Y. Shang, Y. Li, N. Cui, B. Duan, C. Zhang
    Year: 2020
    Citations: 138
    Source: ISA Transactions, Vol. 97, pp. 448โ€“457

  • Title: Remaining useful life prediction of lithiumโ€ion battery based on extended Kalman particle filter
    Authors: B. Duan, Q. Zhang, F. Geng, C. Zhang
    Year: 2020
    Citations: 124
    Source: International Journal of Energy Research, Vol. 44(3), pp. 1724โ€“1734

  • Title: Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter
    Authors: R. Zhu, B. Duan, J. Zhang, Q. Zhang, C. Zhang
    Year: 2020
    Citations: 109
    Source: Applied Energy, Vol. 277, Article 115494

  • Title: A sine-wave heating circuit for automotive battery self-heating at subzero temperatures
    Authors: Y. Shang, K. Liu, N. Cui, Q. Zhang, C. Zhang
    Year: 2019
    Citations: 95
    Source: IEEE Transactions on Industrial Informatics, Vol. 16(5), pp. 3355โ€“3365

  • Title: Multicell-to-Multicell Equalizers Based on Matrix and Half-Bridge LC Converters for Series-Connected Battery Strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, Z. Zhou, C. Zhang
    Year: 2019
    Citations: 90
    Source: IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8(2)

  • Title: A cell-to-cell equalizer based on three-resonant-state switched-capacitor converters for series-connected battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, C. Zhang
    Year: 2017
    Citations: 84
    Source: Energies, Vol. 10(2), Article 206

  • Title: An optimized mesh-structured switched-capacitor equalizer for lithium-ion battery strings
    Authors: Y. Shang, Q. Zhang, N. Cui, B. Duan, C. Zhang
    Year: 2018
    Citations: 79
    Source: IEEE Transactions on Transportation Electrification, Vol. 5(1), pp. 252โ€“261

  • Title: Modeling and analysis of high-frequency alternating-current heating for lithium-ion batteries under low-temperature operations
    Authors: Y. Shang, C. Zhu, G. Lu, Q. Zhang, N. Cui, C. Zhang
    Year: 2020
    Citations: 76
    Source: Journal of Power Sources, Vol. 450, Article 227435

  • Title: Robust current control-based generalized predictive control with sliding mode disturbance compensation for PMSM drives
    Authors: X. Liu, C. Zhang, K. Li, Q. Zhang
    Year: 2017
    Citations: 72
    Source: ISA Transactions, Vol. 71, pp. 542โ€“552

  • Title: Fractional calculus based modeling of open circuit voltage of lithium-ion batteries for electric vehicles
    Authors: Q. Zhang, N. Cui, Y. Li, B. Duan, C. Zhang
    Year: 2020
    Citations: 62
    Source: Journal of Energy Storage, Vol. 27, Article 100945

  • Title: An adaptive battery capacity estimation method suitable for random charging voltage range in electric vehicles
    Authors: C. Zhang, Y. Kang, B. Duan, Z. Zhou, Q. Zhang, Y. Shang, A. Chen
    Year: 2021
    Citations: 55
    Source: IEEE Transactions on Industrial Electronics, Vol. 69(9), pp. 9121โ€“9132

  • Title: Fractional-order modeling of lithium-ion batteries using additive noise assisted modeling and correlative information criterion
    Authors: M. Yu, Y. Li, I. Podlubny, F. Gong, Y. Sun, Q. Zhang, Y. Shang, B. Duan
    Year: 2020
    Citations: 52
    Source: Journal of Advanced Research, Vol. 25, pp. 49โ€“56

  • Title: Optimal planning of electric vehicle charging stations considering user satisfaction and charging convenience
    Authors: D. Xu, W. Pei, Q. Zhang
    Year: 2022
    Citations: 43
    Source: Energies, Vol. 15(14), Article 5027

  • Title: A neural network fuzzy energy management strategy for hybrid electric vehicles based on driving cycle recognition
    Authors: Q. Zhang, X. Fu
    Year: 2020
    Citations: 42
    Source: Applied Sciences, Vol. 10(2), Article 696

  • Title: Parameter matching optimization of a powertrain system of hybrid electric vehicles based on multi-objective optimization
    Authors: X. Fu, Q. Zhang, J. Tang, C. Wang
    Year: 2019
    Citations: 32
    Source: Electronics, Vol. 8(8), Article 875

  • Title: Variable fractional orderโ€”A comprehensive evaluation indicator of lithium-ion batteries
    Authors: Y. Sun, Y. Li, M. Yu, Z. Zhou, Q. Zhang, B. Duan, Y. Shang, C. Zhang
    Year: 2020
    Citations: 31
    Source: Journal of Power Sources, Vol. 448, Article 227411

  • Title: Practical State of Health Estimation for LiFePO4 Batteries Based on Gaussian Mixture Regression and Incremental Capacity Analysis
    Authors: Z. Zhou, B. Duan, Y. Kang, Y. Shang, Q. Zhang, C. Zhang
    Year: 2022
    Citations: 30
    Source: IEEE Transactions on Industrial Electronics, Vol. 70(3), pp. 2576โ€“2585

๐Ÿ Conclusion

In conclusion, Dr. Qi Zhang is a distinguished scholar and researcher in the field of electric mobility and battery management ๐ŸŒŸ. His expertise spans critical areas of lithium-ion battery systems, energy efficiency, and sustainable vehicle technology ๐Ÿš—โšก. With a robust academic background, impactful editorial and professional roles, and a well-rounded skillset, he demonstrates all the qualities of a global research leader. His work not only advances scientific understanding but also contributes to the development of clean and intelligent transport solutions ๐ŸŒ๐Ÿ› ๏ธ. Through consistent contributions to international journals, conferences, and collaborative networks, Dr. Zhang remains a key figure driving innovation in energy systems. He is exceptionally well-positioned for recognition such as the Best Researcher Award for his dedication, vision, and impact ๐Ÿ….

Shafquat Hussain | Mathematical Modeling | Best Researcher Award

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Dr. Shafquat Hussain | Mathematical Modeling | Best Researcher Award

Ph.D Student at University of Genova, Italy

Shafquat Hussain ๐ŸŽ“ is a dynamic and forward-looking researcher in Power Electronics, Power Systems, and Control Systems โšก. Currently pursuing his Ph.D. at the University of Genova ๐Ÿ‡ฎ๐Ÿ‡น, he specializes in cutting-edge control techniques like FCS-MPC, IDA-PBC, PI, and Model-Free Control ๐Ÿ”ง. With a strong foundation from Mehran University ๐Ÿ‡ต๐Ÿ‡ฐ, he has contributed significantly through hands-on experience in FPGA-based controller design and multilevel converters. Shafquat’s research spans innovative inverter technologies, UPS control strategies, and hybrid electric systems ๐Ÿš—๐Ÿ”‹. His scholarly work is published in reputed journals like Energies and IEEE ๐Ÿง ๐Ÿ“š. Technically proficient in MATLAB, Typhoon HIL, and FPGA co-simulations, he demonstrates a robust ability to model, simulate, and implement real-world power conversion solutions. Passionate about sustainable energy and intelligent control, he continues to develop practical and impactful solutions ๐Ÿ”‹๐ŸŒ. Shafquat exemplifies the spirit of innovation and academic excellence, making him a promising candidate for top-tier research recognition ๐Ÿ….

Professional Profile

ย Scopus Profile

Education ๐ŸŽ“๐Ÿ“˜

Shafquat Hussain has pursued a richly layered academic journey rooted in electrical engineering and powered by passion โšก. He earned his Bachelor’s and Master’s degrees from Mehran University of Engineering and Technology, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ, with specialization in Electrical Power, securing top-tier grades and excelling in advanced power electronics. During his Master’s, he ventured into FPGA design and real-time simulations, developing innovative PID controllers for buck converters using Xilinx System Generator. He is currently a Ph.D. scholar at the University of Genova, Italy ๐Ÿ‡ฎ๐Ÿ‡น, working in PETRA LAB, diving deep into advanced control strategies such as FCS-MPC, IDA-PBC, PI, and Model-Free Control for Voltage Source Inverters and multilevel converters like FCC, NPC, and multiplexed topologies. His academic background reflects a strong blend of theory, simulation, and hardware experimentation ๐Ÿง ๐Ÿ’ก. Shafquatโ€™s educational profile showcases a continuous ascent toward excellence and innovation in energy systems and power control ๐Ÿ”‹.

Professional Experience ๐Ÿ’ผ๐Ÿ”ง

Shafquat brings a wealth of hands-on teaching and research experience to the table. As a Lecturer at Indus University, Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ (2018โ€“2022), he honed his expertise in power converter design and experimental hardware setups ๐Ÿ”ฌ. His role extended beyond classroom instructionโ€”he actively engaged students in practical labs, mentored final-year projects, and innovated in controller design for power electronics. His lab proficiency spans DC-DC converters, FPGA integration, and the use of MATLAB Simulink for advanced simulations ๐Ÿ“Š. Now, as a Ph.D. researcher at the University of Genova ๐Ÿ‡ฎ๐Ÿ‡น, he collaborates with leading scholars in Europe, working on real-time implementations using TI C2000 and FPGA boards, exploring novel controller topologies like PR controllers, IDA-PBC, and Model-Free Controllers. His transition from educator to cutting-edge researcher underscores his multi-dimensional professional journey. Shafquatโ€™s experience bridges academic theory and real-world application seamlessly, enhancing his profile as a leader in the evolving energy technology sector ๐Ÿ”Œ๐ŸŒ.

Research Interest ๐Ÿงช๐Ÿ”‹

Shafquat Hussainโ€™s research compass points firmly toward Power Electronics, Control Systems, and Sustainable Energy Conversion ๐ŸŒฑ. He is passionate about developing smarter, faster, and more efficient control techniques for power converters and invertersโ€”particularly those utilized in UPS systems, electric vehicles, and renewable energy setups โ˜€๏ธ๐Ÿš—. His expertise includes Finite Control Set Model Predictive Control (FCS-MPC), Passivity-Based Control (IDA-PBC), and Model-Free Controllers, with application across multilevel inverters, Z-source inverters, and hybrid power systems ๐Ÿ”„. Shafquat also focuses on integrating FPGA hardware co-simulations and digital controllers like PR control into practical energy systems, leveraging tools like MATLAB, Typhoon HIL, and Qspice. His research not only contributes to academic literature but also to real-world implementations of resilient, high-performance power infrastructure ๐Ÿ’ก๐Ÿญ. By exploring intersections of control theory, simulation, and hardware design, Shafquat aims to push the frontiers of future-proof power system solutions ๐ŸŒโšก.

Awards and Honors ๐Ÿ…๐Ÿ“œ

While Shafquatโ€™s formal accolades are still in development, his trajectory is rich with academic achievements and scholarly milestones that highlight his upward momentum ๐ŸŒŸ. His Master’s thesis received recognition for its innovative use of FPGA to design PID and fuzzy logic controllers for DC-DC convertersโ€”an achievement that laid the groundwork for future publications ๐Ÿ“˜. He has authored and co-authored multiple peer-reviewed articles in reputed journals like Energies (MDPI) and IEEE conferences, showcasing novel control comparisons and power conversion strategies ๐Ÿง ๐Ÿ“‘. He has also earned certificates from prestigious Coursera courses, covering Power Electronics, Converter Control, and Magnetics for PE ๐Ÿ–ฅ๏ธ. These accolades underscore his commitment to continuous learning and expertise enhancement. While he awaits high-profile awards, Shafquatโ€™s consistent record of research productivity, innovation, and impactful solutions speaks volumes. He is undoubtedly on the path to earning prestigious research awards in power electronics and intelligent control ๐ŸŒ๐Ÿ†.

Conclusion ๐ŸŽฏ๐Ÿ“ˆ

Shafquat Hussain is a rising innovator in the domains of Power Electronics and Control Systemsโ€”driven by passion, precision, and persistence ๐Ÿ”โš™๏ธ. From his early academic foundations in Pakistan to his current research at the University of Genova, Italy, he has demonstrated unwavering dedication to crafting intelligent solutions for real-world energy challenges ๐ŸŒ๐Ÿ”‹. With a portfolio brimming with practical projects, simulations, and high-impact publications, he embodies the qualities of a next-generation scholar. Shafquatโ€™s skills in MATLAB, FPGA, Typhoon HIL, and predictive control techniques make him a versatile and future-ready researcher ๐ŸŒŸ. His vision to optimize inverter technologies and controller dynamics aligns with the global call for smarter energy systems. As he continues advancing the field through innovation and collaborative research, he proves to be a compelling candidate for recognition as a Best Researcher ๐Ÿฅ‡. Shafquatโ€™s journey is only beginningโ€”and the best is yet to come ๐Ÿš€๐Ÿ“š.

Publications Top Notes

๐Ÿ“— Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Hussain, S.; Bakeer, A.; Mohamed, I.S.; Marchesoni, M.; Vaccaro, L.

  • ๐Ÿ“… Year: 2023

  • ๐Ÿ“– Citation: Energies, 16, 5594

  • ๐Ÿ”— Source: DOI: 10.3390/en16155594

  • ๐Ÿ“š Focus: Evaluation of advanced control strategies for UPS performance optimization ๐Ÿ”Œ๐Ÿ”.

๐Ÿ“˜ Efficiency Performance of 7-Level Multiplexed and 3-Level Neutral Point Clamped (NPC) Converters

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Hussain, S.; Cosso, S.; Passalacqua, M.; Vaccaro, L.R.; Formentini, A.; Marchesoni, M.

  • ๐Ÿ“… Year: 2025

  • ๐Ÿ“– Citation: Energies, 18, 2161

  • ๐Ÿ”— Source: DOI: 10.3390/en18092161

  • ๐Ÿ“š Focus: Comparative efficiency assessment of high-level inverter topologies in power systems โšก๐Ÿ”‹.

๐Ÿ“˜ Simulative Analysis of Power Conversion System for Hybrid Electric Vehicles Based on Dual Input Sources Including Charging from Solar Panel

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Hussain, S. et al.

  • ๐Ÿ“… Year: 2020

  • ๐Ÿ“– Citation: Pakistan Journal of Engineering & Technology, 3(3), 14โ€“19

  • ๐Ÿ”— Source: Published in Pakistan J Engg & Tech

  • ๐Ÿ“š Focus: Solar-assisted dual input system modeling for electric vehicle energy management ๐Ÿš—โ˜€๏ธ.

๐Ÿ“™ Comparative Analysis of PID and Fuzzy Logic Controller for Buck Converter (Masterโ€™s Thesis)

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Shafquat Hussain Bhellar, Zubair Ahmed Memon, Tayab Din Memon, Yasir Bhutto, Abdul Majeed

  • ๐Ÿ“… Year: 2018

  • ๐Ÿ“– Citation: ESTIRJ, March Issue

  • ๐Ÿ”— Source: ESTIRJ

  • ๐Ÿ“š Focus: Intelligent vs. classical control method study in DC-DC buck converters ๐Ÿค–๐Ÿ“‰.

๐Ÿ“• Power Quality Improvement in Power System Network using Unified Power Flow Controller

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Abdul Majeed Khaskheli, Mukhtiar Ahmed Mahar, Abdul Sattar Larki, Shafquat Hussain Bhellar

  • ๐Ÿ“… Year: 2018

  • ๐Ÿ“– Citation: IEEE Conference Publication

  • ๐Ÿ”— Source: IEEE Xplore

  • ๐Ÿ“š Focus: Implementation of UPFC for enhancing network reliability and voltage quality ๐ŸŒโš™๏ธ.

๐Ÿ“˜ Analysis of Photovoltaic System at Various Sites of Pakistan Using Retscreen Software

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Yasir Ali Bhutto, Mukhtiar Ahmed Mahar, Abdul Sattar Larik, Shafquat Hussain Bhellar, Assadullah Khuhawar

  • ๐Ÿ“… Year: 2018

  • ๐Ÿ“– Citation: ESTIRJ, 2018

  • ๐Ÿ”— Source: ESTIRJ

  • ๐Ÿ“š Focus: RETScreen-based feasibility studies of solar power deployment across Pakistan ๐Ÿ›ฐ๏ธ๐Ÿ“.

๐Ÿ“™ Unified Power Flow Controller Application for Power Quality Improvement in Power System Network

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Same contributors as prior UPFC study

  • ๐Ÿ“… Year: Possibly 2018

  • ๐Ÿ“– Citation: Likely a restructured or complementary work from IEEE

  • ๐Ÿ“š Focus: Reinforces practical implications of UPFC in grid enhancement scenarios โšก๐Ÿ› ๏ธ.

๐Ÿ“’ Analysis of Efficient FPGA-Based PID Controller for DC-DC Buck Boost Converter Using Hardware Co-Simulation Setup

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Authors: Shafquat Hussain et al.

  • ๐Ÿ“… Year: Not specified

  • ๐Ÿ“– Citation: Published in Sukkur IBA Journal

  • ๐Ÿ”— Source: Sukkur IBA University

  • ๐Ÿ“š Focus: Real-time implementation of PID via FPGA in converter circuits using hardware simulation ๐Ÿงฉโš™๏ธ.

 

Vesna Knights | Applied Mathematics | Women Researcher Award

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Prof. Vesna Knights | Applied Mathematics | Women Researcher Award

North Macedonia at Faculty of Technology and Technical Science, University โ€œSt. Kliment Ohridskiโ€โ€”Bitola, 7000 Bitola, North Macedonia, Macedonia

Professor Vesna (Antoska) Knights, Dr.Sc., is a distinguished academic and researcher with extensive experience in mathematical statistics, applied mathematics, and mathematical modelling. Serving as a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held pivotal roles including Head of the Doctoral Studies Council and Vice Dean. Her scholarly contributions span biostatistics, optimization, automation, and data analysis, with active involvement in international collaborations such as the COST Action DE-PASS and ERASMUS+ teaching exchanges. With a career rooted in both academia and government statistical services, Professor Knights brings a multidisciplinary perspective to her work. Her research has been recognized through numerous publications indexed in Scopus and Web of Science. Dedicated to mentoring and policy-relevant research, she exemplifies leadership in science and education. Her broad expertise and impact make her a strong candidate for the Women Researcher Award.

Professional Profileย 

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Vesna (Antoska) Knights holds a Doctor of Science (Dr.Sc.) degree in Technical Sciences, with a specialization in Applied Mathematics and Statistical Modelling. Her academic journey began with a degree in Mathematics, followed by postgraduate studies in Statistical Analysis and Mathematical Modelling, which laid a strong foundation for her interdisciplinary research career. Her doctoral work focused on applying mathematical frameworks to real-world industrial and biological systems, earning her recognition for integrating theoretical insight with practical application. Throughout her academic progression, she pursued international research exchanges and advanced trainings, including ERASMUS+ programs, which enriched her educational profile with global perspectives. Her commitment to continuous learning and academic excellence is evident in her participation in workshops, seminars, and specialized courses across Europe. Professor Knightsโ€™s education reflects a deep-rooted dedication to expanding knowledge and applying it to complex scientific, technological, and societal challenges.

Professional Experience

Professor Knights has a distinguished career spanning academia, public service, and international collaboration. Currently a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” โ€“ Bitola, she has held several leadership roles including Vice Dean and Head of the Doctoral Studies Council. She has extensive experience teaching undergraduate, graduate, and doctoral students in mathematics, statistics, data analysis, and optimization. Her early career includes service at the State Statistical Office of North Macedonia, where she contributed to national statistical methodology and data analysis frameworks. She is actively engaged in international mobility programs such as ERASMUS+ and serves as a scientific member in European research networks like the COST Action DE-PASS. With a professional background that bridges academia and applied statistics, Professor Knights has led multiple research projects, supervised doctoral theses, and established herself as a key figure in interdisciplinary academic initiatives throughout Europe.

Research Interest

Professor Knights’s research interests are deeply rooted in applied mathematics, mathematical statistics, and computational modelling. She specializes in biostatistics, systems optimization, industrial mathematics, and the application of statistical models in engineering and health sciences. Her interdisciplinary approach connects statistical theory with practical problems in automation, manufacturing, and biological systems. A significant part of her research has focused on parameter estimation, probabilistic analysis, and developing algorithms for data-driven decision-making in complex systems. She is also involved in health-related modelling within the context of physical activity and well-being, contributing to the European COST Action DE-PASS project. Her scientific output includes numerous publications indexed in Scopus and Web of Science, showcasing her commitment to advancing both theory and application. Professor Knights is particularly enthusiastic about mentoring young researchers and fostering cross-disciplinary collaboration, reflecting her belief in the transformative power of mathematical modelling in solving global challenges.

Award and Honor

Throughout her career, Professor Vesna Knights has received various accolades that reflect her dedication to science, education, and leadership. She has been recognized at institutional and national levels for her outstanding teaching performance and contributions to academic development. Her research excellence has earned her invitations to serve as a reviewer and editorial board member for peer-reviewed international journals. Her participation in the prestigious COST Action DE-PASS highlights her standing in the European research community. Additionally, she has been a keynote speaker and guest lecturer in ERASMUS+ programs and international conferences, where her work has been lauded for its impact and innovation. As a mentor and academic advisor, she has received commendations for guiding doctoral students and young researchers in developing cutting-edge research methodologies. These honors underscore her significant influence across educational, scientific, and professional landscapes, positioning her as a role model and advocate for women in science and mathematics.

Conclusion

Professor Vesna (Antoska) Knights exemplifies academic excellence, interdisciplinary innovation, and leadership in mathematical sciences. Her career bridges theoretical depth with real-world application, impacting fields from biostatistics and industrial optimization to health science and data analytics. As a dedicated educator, she inspires students and researchers alike, fostering a vibrant academic environment that emphasizes rigor, creativity, and societal relevance. Her international collaborations, leadership in doctoral education, and participation in high-impact European research networks underscore her role as a globally engaged scholar. The recognition she has received through awards, research invitations, and institutional honors speaks to her sustained contributions to the scientific community. Professor Knights is not only a distinguished researcher but also a passionate advocate for scientific collaboration, education, and mentorship. Her legacy continues to influence the next generation of scientists, making her a worthy recipient of honors such as the Women Researcher Award, and a beacon of excellence in contemporary mathematical science.

Publications Top Notes

  • Title: Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications
    Authors: V. Antoska-Knights, O. Petrovska, J. Gajdoลก Kljusuriฤ‡
    Year: 2024
    Citations: 1
    Source: Future Internet

  • Title: Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking
    Authors: V. Knights, O. Petrovska, J. Bunevska-Talevska, M. Prchkovska
    Year: 2025
    Source: Sensors, 25(7), 2065

  • Title: Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments
    Authors: V. Antoska-Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Citations: 4
    Source: IntechOpen Limited, pp. 25โ€“49

  • Title: Learning and AI Integration in IoT
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Source: Navigating the Internet of Things in the 22nd Century

  • Title: Mathematical Analysis of Statistical Design of Experiment and Machine Learning Methods in Identifying Factors Influencing Obesity
    Authors: V. Knights, T. Blazevska, G. Markovic, J.G. Kljusuriฤ‡
    Year: 2024
    Source: Medical Research Archives, 12(9)

  • Title: ะŸั€ะธะผะตะฝะฐ ะฝะฐ ัั‚ะฐั‚ะธัั‚ะธั‡ะบะธ ะผะตั‚ะพะดะธ… ัะพ ะฟะพั‚ะตะบะปะพ oะด ะœะฐะบะตะดะพะฝะธั˜ะฐ, ะšะพัะพะฒะพ ะธ ะะปะฑะฐะฝะธั˜ะฐ
    Authors: B. Durmishi, V. Antoska-Knights
    Year: 2024
    Source: ะ“ะพะดะธัˆะฝะฐ ะšะพะฝั„ะตั€ะตะฝั†ะธั˜ะฐ ะฝะฐ ัั‚ัƒะดะตะฝั‚ะธั‚ะต ะฝะฐ ั‚ั€ะตั‚ ั†ะธะบะปัƒั ัั‚ัƒะดะธะธ

  • Title: Pollution of the Fifth Canal on the Crna River in the Region of Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, N. Gruevska, E. Delinikolova, et al.
    Year: 2024
    Source: IJFTN International Journal of Food Technology and Nutrition, 7(13โ€“14), 138โ€“143

  • Title: The Presence of Escherichia coli and Enterococcus in the Water of the Fifth Canal and Black River near Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, V. Stamatovska, M. Sviderski, et al.
    Year: 2024
    Source: Journal of Agriculture and Plant Sciences, 22(1), 9โ€“13

  • Title: Machine Learning Techniques for Modelling and Predicting the Influence of Kefir in a Low-Protein Diet on Kidney Function
    Authors: V. Knights, E.D. Gavriloska
    Year: 2024
    Source: Medical Research Archives, 12(7)

  • Title: Textural and Sensory Characteristics of Yogurt Manufactured with Liquid Whey and Strawberry Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Journal of Food Science and Technology (Iran), 21(150), 139โ€“150

  • Title: Integrating Machine Learning and AI into IoT-Enabled Smart Parking
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2024
    Source: International Conference on Innovations in Technology, Business and Society

  • Title: From Equations to Predictions: Understanding the Mathematics and Machine Learning of Multiple Linear Regression
    Authors: V. Knights, M. Prchkovska
    Year: 2024
    Citations: 7
    Source: Journal of Mathematical & Computer Applications, 3(2), 1โ€“8

  • Title: Recommendations and Use of Calcium, Vitamin D, and Appropriate Nutrition in Patients with Rheumatoid Diseases
    Authors: D. Zhubi, V. Pavlova, M. Zhubi, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Citations: 1
    Source: Journal of Hygienic Engineering & Design, 47

  • Title: Modeling and Implementation of Smart Parking System
    Authors: O. Petrovska, V. Knights, A.F. Turkeshi
    Year: 2024
    Source: Book of Abstracts, 12

  • Title: Mineral Composition of Fresh Cow’s Milk and the Importance of Minerals in the Human Diet
    Authors: V. Loshi, I. Nikqi, E. Gajdoลก Kljusuriฤ‡, V. Antoska-Knights
    Year: 2024
    Source: Journal of Hygienic Engineering and Design, 48, 30โ€“34

  • Title: A Survey on the Motivation, Attitudes, and Frequency of Use of Dietary Supplements in Cancer Patients
    Authors: K. Dina, V. Pavlova, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Source: Journal of Hygienic Engineering and Design

  • Title: Textural and Sensory Properties of Yogurt Obtained by Bioconversion of Milk-Liquid Whey Mixture and Aronia Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska-Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Poljoprivreda i Sumarstvo, 70(1), 115โ€“126

  • Title: Dynamic Modeling and Simulation of Mobile Robot under Disturbances and Obstacles in an Environment
    Authors: V. Knights, O. Petrovska
    Year: 2024
    Citations: 6
    Source: Journal of Applied Mathematics & Computation, 8, 59โ€“67

  • Title: Mathematical Modelling of Determining the Dynamics of the Nutritional Value Content of Classic Kefir and Three Types of Flavors of Functional Kefir
    Authors: E.D. Gavriloska, T. Kalevska, G. Dimitrovska, J.G. Kljusuriฤ‡, V.A. Knights
    Year: 2023
    Source: Horizons โ€“ International Scientific Journal, 1(1), 116โ€“129

 

Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

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Prof. Fernando Tohme | Interdisciplinary Mathematics | Best Researcher Award

Profesor Titular – Investigador Principal at Universidad Nacional del Sur- Conicet, Argentina

Professor Fernando Abel Tohmรฉ is a distinguished researcher and Full Professor at the Universidad Nacional del Sur, Argentina, and a Principal Researcher at CONICET. With expertise spanning game theory, mathematical economics, optimization, and computational sciences, his interdisciplinary contributions have had a significant impact. He has held prestigious visiting positions at institutions such as UC Berkeley, Washington University in St. Louis, and the University of Luxembourg. As Director of the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College, Dublin, he plays a pivotal role in academic mentorship. His extensive publication record includes books, book chapters, and journal articles in high-impact areas like abductive cognition, economic modeling, and scheduling problems. With international collaborations and a strong research background, Professor Tohmรฉ is a leading figure in applied mathematics and economic theory. His work continues to bridge theoretical advancements with real-world applications, shaping the future of mathematical sciences.

Professional Profileย 

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Education

Professor Fernando Abel Tohmรฉ holds a Licenciado en Matemรกtica (equivalent to a combined BS and MS) from the Universidad Nacional del Sur, earned in 1987. He later pursued a Doctorate in Economics at the same institution, completing his Ph.D. in 1995 under the supervision of Professor Rolf Mantel. His doctoral thesis, titled Meta-Rationality and General Equilibrium, laid the foundation for his interdisciplinary approach, combining mathematical rigor with economic theory. His academic journey reflects a strong mathematical background applied to economic and computational sciences. This solid educational foundation has enabled him to make significant contributions in areas such as game theory, optimization, and modeling. His studies have shaped his research in decision-making processes, mathematical structures in economics, and computational methods, positioning him as a leading scholar in his field. His educational achievements have played a crucial role in his subsequent professional career and research advancements.

Professional Experience

Professor Tohmรฉ has built a distinguished academic and research career, currently serving as a Full Professor at the Universidad Nacional del Sur in Argentina and as a Principal Researcher at CONICET. He has been actively involved in teaching undergraduate and graduate courses on game theory and microeconomic theory since 1993. His international academic engagements include visiting positions at Washington University in St. Louis, UC Berkeley, the British University in Dubai, and the University of Luxembourg. Additionally, he has been an invited professor at institutions in Brazil, Ireland, and the United States. His leadership extends to directing the Ph.D. program in Natural, Mathematical, and Computational Sciences at GCAS College in Dublin. His global professional experience underscores his role as a thought leader, fostering international collaborations in mathematics, economics, and computational sciences. Through his extensive teaching and research career, he has significantly influenced both theoretical advancements and practical applications in his fields of expertise.

Research Interests

Professor Tohmรฉโ€™s research interests span a wide range of interdisciplinary topics, including game theory, mathematical economics, optimization, computational modeling, and abductive reasoning. He has made notable contributions to decision theory, formal logic, and economic modeling, particularly in the context of general equilibrium and meta-rationality. His work often integrates mathematical structures such as category theory into economic and computational models, pushing the boundaries of traditional analysis. His recent research explores applications of abductive cognition in econometrics and industry optimization, highlighting his ability to bridge theoretical and applied domains. He has also contributed to studies on scheduling problems in Industry 4.0, demonstrating his commitment to real-world problem-solving. His interdisciplinary approach enables him to collaborate with experts in mathematics, computer science, and philosophy, leading to high-impact research publications. Professor Tohmรฉโ€™s diverse research interests continue to shape advancements in applied mathematics and economic theory, influencing scholars and practitioners alike.

Awards and Honors

Throughout his career, Professor Tohmรฉ has received prestigious recognitions for his scholarly contributions. He was awarded a Fulbright Scholarship in 2003, allowing him to conduct research at UC Berkeleyโ€™s Group of Logic and Methodology of Science. His affiliations with esteemed institutions, including CONICET and GCAS College, reflect his academic excellence and leadership in the global research community. He has also been invited as a senior researcher at the Topos Institute in Berkeley and has contributed as an editor for Springer Natureโ€™s award proceedings. His research impact is further recognized through his numerous international collaborations and invitations as a keynote speaker at academic awards. His work has been cited extensively, demonstrating its influence in the fields of mathematics, economics, and computational sciences. These honors highlight his contributions to advancing knowledge and fostering academic exchange across disciplines. His continued recognition underscores his role as a leading figure in mathematical and economic research.

Conclusion

Professor Fernando Tohmรฉโ€™s career is a testament to his profound impact on mathematics, economics, and computational sciences. With a strong educational foundation, extensive professional experience, and diverse research interests, he has established himself as a global academic leader. His work integrates mathematical theory with economic and computational applications, fostering interdisciplinary advancements. His teaching and mentorship roles have influenced numerous students and researchers, while his international collaborations have expanded the reach of his research contributions. Recognized through prestigious awards and academic honors, he continues to shape the future of economic modeling, decision theory, and applied mathematics. As a researcher with a vision for theoretical innovation and practical applications, Professor Tohmรฉ remains a key figure in his field. His dedication to advancing knowledge and solving complex problems ensures that his work will have a lasting impact on both academia and industry.

Publications Top Noted

 

liang cao | Interdisciplinary Mathematics | Best Researcher Award

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Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, Chinaย 

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profileย 

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Educationย 

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experienceย 

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Caoโ€™s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honorsย 

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusionย 

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

  • Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2024
    Source: Smart Materials and Structures

  • Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
    Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
    Year: 2023
    Source: Optik

  • Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
    Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
    Year: 2023
    Source: Probabilistic Engineering Mechanics

  • Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
    Authors: Liang Cao
    Year: 2020
    Source: International Journal of Reliability and Safety

  • Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
    Authors: Liang Cao
    Year: 2017
    Source: Structural and Multidisciplinary Optimization

  • Title: Safety Analysis of Structures with Probability and Evidence Theory
    Authors: Liang Cao
    Year: 2016
    Source: International Journal of Steel Structures