Milica Milovanović | Operations Research | Excellence in Research Award

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Prof. Milica Milovanović | Operations Research | Excellence in Research Award

Master Transportation Engineer | Faculty of Transport and Traffic Engineering, University of Belgrade | Serbia

Prof. Milica Milovanović, affiliated with the Faculty of Transport and Traffic Engineering at the University of Belgrade, specializes in transport safety, risk analysis, and decision-making methodologies in aviation and road traffic systems. Her research focuses on evaluating the Value of Statistical Life (VSL) in transport accidents, optimizing safety measures in aviation operations, and conducting risk assessments involving UAVs, drones, and logistics systems.
She frequently applies advanced multi-criteria decision-making (MCDM) models, hybrid assessment techniques, and quantitative risk frameworks. Her work contributes to improved safety policies, evidence-based investment decisions, and the development of safer, more efficient air and road transport systems.

Profiles: Scopus | Orcid

Featured Publications

Milovanović, M., Vujačić Petrović, J., Čokorilo, O., Vasov, Lj., Mirosavljević, P. D., & Stojiljković, B. (2025). Analysis of the value of statistical life in traffic accidents based on investments evaluation. Tehnika. https://doi.org/10.5937/tehnika2502223M

Snežana Tadić, Milovanović, M., Krstić, M., & Čokorilo, O. (2025). Selection of safety measures in aircraft operations: A hybrid Grey Delphi–AHP–ADAM MCDM model. Eng. https://doi.org/10.3390/eng6110295

Milovanović, M., Čokorilo, O., Ivković, I., Stojiljković, B., & Vasov, Lj. (2024). The value of statistical life in air and road transport. Aircraft Engineering and Aerospace Technology. https://doi.org/10.1108/aeat-01-2024-0019

Marina, M., Čokorilo, O., Mirosavljević, P., Vasov, Lj., Stojiljković, B., & Milovanović, M. (2024). Analysis of the impact of UAV collision on a commercial aircraft. In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). https://doi.org/10.1109/summa64428.2024.10803713

Tadić, S., Krstić, M., Veljović, M., Čokorilo, O., & Milovanović, M. (2024). Risk analysis of the use of drones in city logistics. Mathematics, 12(8), 1250. https://doi.org/10.3390/math12081250

Xichang Wang | Mathematical Engineering | Research Excellence Award

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Prof. Xichang Wang | Mathematical Engineering | Research Excellence Award

Director | China Aeronautical Manufacturing Technology Institute | China

Prof. Xichang Wang specializes in welding engineering, metal material standards, and aerospace manufacturing processes. His research focuses on structural modeling of welding process specifications, thermal bonding behavior of titanium alloys, and the development of metal material standards within China’s evolving military–civilian integration framework. He has contributed to key studies on electron beam welding (EBW), thermal self-compressing bonding mechanisms, and material property characterization for aviation and submersible applications. His work integrates materials science, welding technology, and standards engineering, supporting the advancement of high-performance manufacturing in aerospace and defense industries.

Profiles: Scopus | Orcid

Featured Publications

  • Wang, X., Li, G., Zeng, Y., Wang, X., Lyu, X., & Cao, Y. (2025). Research on the structural model of welding process specifications for aviation products based on trade-off design standards. Standards, 5(4), Article 0031. https://doi.org/10.3390/standards5040031
    Year: 2025

  • Wang, X.-C., Wu, Q.-Y., Xu, M., Qi, D.-X., Lu, J., & Teng, C.-Y. (2019). A brief analysis on the development of metal material standards in China under the background of military-civilian integration. Metallurgical Analysis, (Yejin Fenxi), Article 010558. https://doi.org/10.13228/j.boyuan.issn1000-7571.010558
    Year: 2019

  • Deng, Y., Guan, Q., Tao, J., Wu, B., & Wang, X. (2017). Effect of heating time on rigid restraint thermal self-compressing bonding of TC4 alloy. Rare Metal Materials and Engineering.
    Year: 2017

  • Fu, P., Mao, Z., Tang, Z., Li, K., Wang, X., & Zuo, C. (2017). Microstructures and properties of TC4 ELI alloy with horizontal electron beam welding for submersible manned cabin. Applied Ocean Research. https://doi.org/10.1016/j.apor.2017.09.004
    Year: 2017

Fuat Türk | Optimization | Best Researcher Award

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Assist. Prof. Dr. Fuat Türk | Optimization | Best Researcher Award

Researcher| Gazi University | Turkey

Assist. Prof. Dr. Fuat Türk is a researcher in artificial intelligence, medical image analysis, and machine learning, currently affiliated with Gazi University, Turkey. His research focuses on developing intelligent diagnostic and segmentation models for healthcare applications, including kidney and renal tumor detection, lung opacity analysis, heart disease prediction, and cancer diagnosis. He has contributed to advancing hybrid deep-learning architectures, CNN-based image fusion models, machine learning–driven feature selection, and optimization techniques for clinical decision support systems. Dr. Türk’s work integrates computational modeling with real-world medical datasets, aiming to improve diagnostic accuracy, automate radiological workflows, and support early disease detection. His published works demonstrate a strong interdisciplinary approach bridging mathematics, computer vision, and biomedical engineering, and his studies have been cited widely in the fields of medical imaging and machine learning.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Türk, F., Lüy, M., & Barışçı, N. (2020). Kidney and renal tumor segmentation using a hybrid V-Net-based model. Mathematics, 8(10), 1772. Citations: 98

  2. Türk, F. (2023). Analysis of intrusion detection systems in UNSW-NB15 and NSL-KDD datasets with machine learning algorithms. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 12(2), 465–477. Citations: 59

  3. Türk, F., & Kökver, Y. (2023). Detection of lung opacity and treatment planning with three-channel fusion CNN model. Arabian Journal for Science and Engineering, 49, 2973–2985. Citations: 17

  4. Türk, F. (2024). Investigation of machine learning algorithms on heart disease through dominant feature detection and feature selection. Signal, Image and Video Processing. Citations: 15

  5. Akkur, O. E. E., & Türk, F. (2022). Breast cancer diagnosis using feature selection approaches and Bayesian optimization. Computer Systems Science and Engineering, 45(2), 1017–1031. Citations: 13

Ajay Kumar | Numerical Analysis | Indian Institute of Technology Kanpur

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Dr. Ajay Kumar | Numerical Analysis | Indian Institute of Technology Kanpur

Post Doctoral | Indian Institute of Technology Kanpur | India

Dr. Ajay Kumar is a Postdoctoral Fellow in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur, specializing in fractional calculus, nonlinear dynamics, numerical analysis, and mathematical modeling of disease and ecological systems. He earned his Ph.D. in Mathematics with a focus on fractional calculus from the National Institute of Technology Jamshedpur, following an M.Sc.-Tech in Mathematics and Computing from Jamia Millia Islamia and a B.Sc. in Physics, Chemistry, and Mathematics from CCS University, Meerut. Before joining IIT Kanpur, he served as an Assistant Professor at JECRC University, Jaipur, where he contributed to academic instruction and research mentorship. Dr. Kumar has an impressive publication record in high-impact journals such as Chaos, Solitons & Fractals, Results in Physics, Mathematics and Computers in Simulation, and Journal of Computational Science, reflecting his strong engagement in the study of fractional-order dynamical systems, eco-epidemiological modeling, and chaos theory. His research collaborations span internationally with scholars from Saudi Arabia, Egypt, and India, demonstrating a broad and interdisciplinary research network. He has also presented his work at multiple national and international conferences and participated in workshops and training programs that enhance computational and analytical expertise. Dr. Kumar’s academic excellence is supported by national-level qualifications such as GATE and IIT-JAM, alongside prestigious research fellowships including the Junior and Senior Research Fellowships from NIT Jamshedpur. With over 500 citations and an H-index of 10, his contributions significantly advance the application of fractional calculus in complex system modeling.

Profiles: ORCID | Google Scholar

Featured Publications

1. Kumar S., Kumar A., Samet B., Gómez-Aguilar J.F., Osman M.S., A chaos study of tumor and effector cells in fractional tumor-immune model for cancer treatment. Chaos, Solitons & Fractals, 2020, Citations: 222.

2. Kumar S., Kumar A., Samet B., Dutta H., A study on fractional host–parasitoid population dynamical model to describe insect species. Numerical Methods for Partial Differential Equations, 2021, Citations: 187.

3. Kumar A., Kumar S., A study on eco-epidemiological model with fractional operators. Chaos, Solitons & Fractals, 2022, Citations: 43.

4. Kumar S., Kumar A., Jleli M., A numerical analysis for fractional model of the spread of pests in tea plants. Numerical Methods for Partial Differential Equations, 2022, Citations: 27.

5. Alzaid S.S., Kumar A., Kumar S., Alkahtani B.S.T., Chaotic behavior of financial dynamical system with generalized fractional operator. Fractals, 2023, Citations: 18.

Vesna Knights | Mathematics in Enginering | Mathematical Engineering Excellence Award

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Prof. Vesna Knights | Mathematics in Enginering | Mathematical Engineering Excellence Award

Professor | St. Clement of Ohrid University of Bitola | Macedonia

Prof. Vesna Antoska Knights is a Full Professor at the Faculty of Technology and Technical Sciences – Veles, University “St. Kliment Ohridski” – Bitola, Republic of North Macedonia, specializing in applied mathematics, mathematical modelling, statistics, artificial intelligence, and optimization. She holds a Ph.D. in Technical Sciences from the Faculty of Electrical Engineering and Information Technologies, “Ss. Cyril and Methodius University” – Skopje, where her doctoral research focused on robotic system modelling and control. Her academic background includes a Master of Science in Technical Sciences with specialization in numerical simulation of flow and a Bachelor’s degree in Mechanical Engineering. With over two decades of university teaching and research experience, she has served in multiple leadership roles, including Vice Dean for Science and International Cooperation and Head of the Doctoral Studies Council. Dr. Knights has led and participated in numerous international and EU-funded projects, including FP7 ECCEROBOT, COST Action DE-PASS, and national research initiatives on smart agriculture and machine learning applications. Her interdisciplinary research bridges engineering, data science, nutrition, and IoT-based intelligent systems, resulting in 19 indexed publications and significant citations in international journals such as Applied Sciences, Nutrients, and Future Internet. She serves as an Editorial Board Member of Chemistry in Industry (KUI) and is actively engaged in European academic networks. Her recent contributions include advances in AI-based modeling for nutrition, robotic control, and optimization in smart systems. Professor Knights continues to contribute to the scientific community through mentorship, editorial work, and collaborative international research. 62 Citations, 19 Documents, h-index 5.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Knights, V., & Prchkovska, M. (2024). From equations to predictions: Understanding the mathematics and machine learning of multiple linear regression. Journal of Mathematical & Computer Applications, 3(2), 1–8. Citations: 11.

2. Knights, V., & Petrovska, O. (2024). Dynamic modeling and simulation of mobile robot under disturbances and obstacles in an environment. Journal of Applied Mathematics & Computation, 8(1), 59–67. Citations: 7.

3. Knights, V., Petrovska, O., & Gajdoš Kljusurić, J. (2024). Nonlinear dynamics and machine learning for robotic control systems in IoT applications. Future Internet, 16(12), 435. Citations: 7.

4. Knights, V., Kolak, M., Markovikj, G., & Gajdoš Kljusurić, J. (2023). Modeling and optimization with artificial intelligence in nutrition. Applied Sciences, 13(13), 7835. Citations: 27.

5. Antoska-Knights, V., Gacovski, Z., & Deskovski, S. (2017). Obstacles avoidance algorithm for mobile robots using the potential fields method. Universal Journal of Electrical and Electronic Engineering, 5, 75–84. Citations: 11.

Oluwaseun Akinte | Optimization | Best Researcher Award

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Dr. Oluwaseun Akinte | Optimization | Best Researcher Award

Oluwaseun Akinte | Rajamangala University of Technology Thanyaburi | Thailand

Dr. Oluwaseun Olanrewaju Akinte is a Postdoctoral Researcher in Energy and Materials Engineering at Rajamangala University of Technology Thanyaburi, specializing in renewable energy systems, hybrid microgrids, and advanced storage technologies. He earned his Ph.D. in Energy and Materials Engineering from Rajamangala University of Technology Thanyaburi, an M.Sc. in Electrical and Electronic Engineering from Coventry University, United Kingdom, and a B.Sc. in Electrical and Electronic Engineering from Olabisi Onabanjo University, Nigeria. His professional journey spans academia and industry, including roles as Research Assistant at RMUTT, Academic Tutor in Nigeria, Project/Site Engineer with Electromechanical Integrators Inc., and voluntary postgraduate lecturer at the University of the People, USA. His research contributions focus on energy storage optimization, hybrid renewable energy networks, and techno-econometric analysis of integrated microgrids, producing impactful publications in high-ranking journals such as IEEE Access, Energies, Sustainability, and Franklin Open, alongside international conference presentations. Dr. Akinte has co-authored over 16 journal and conference papers with 18 citations across 18 documents, reflecting his growing scholarly influence. His leadership extends to collaborative projects with industrial partners, addressing energy efficiency and sustainability challenges, while his invited talks at international congresses highlight his recognition in the global research community. He has been honored with the E-CUBE-I RMUTT Scholarship and the Best Oral Presentation Award at the Energy Society and Sustainability Conference. In addition, he is an active member of the International Association of Engineers (IAENG), contributing to knowledge exchange in the field of electrical and energy engineering. With strong expertise in power system modeling, microgrid optimization, and renewable integration, Dr. Akinte continues to advance innovative energy solutions with global impact. Citations: 18, Documents: 5, h-index: 2.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Akinte O.O.*, Plangklang B., Prasartkaew B., Aina T.S., Energy storage management of a solar photovoltaic–biomass hybrid power system. Energies, 2023, 16(13), 5122.

2. Aina T.S.*, Akinte O.O., Awelewa A.J., Adelakun D.O., Critical evaluation of waterfall project management methodology: A case study of digital management conference project. Int. J. Adv. Multidiscip. Res. Stud., 2022, 2, 1–10.

3. Akinte O.O.*, Aina T.S., HVAC vs HVDC power system: Contemporary development in HVAC and HVDC power transmission system. Int. J. Sci. Technol. Res., 2021, 19, 252–261.

4. Aina T.S.*, Akinte O.O., Iyaomolere B.A., Investigation on performance of microstrip patch antenna for a practical wireless local area network (WLAN) application. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET), 2022, 10, 221–226.

5. Aina T.S.*, Akinte O.O., Iyaomolere B., Tosin A.E., Abode I.I., Awelewa A.J., Implementation of an intelligent motion detector. Int. Res. J. Eng. Technol. (IRJET), 2022, 9(1), 1148–1165.

Vitalii Babak | Mathematical Modeling | Best Researcher Award

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Prof. Vitalii Babak | Mathematical Modeling | Best Researcher Award

Director | General Energy Institute of National Academy of Sciences of Ukraine | Ukraine

Prof. Vitalii Babak is a renowned Ukrainian scientist and academic leader whose distinguished career spans more than four decades in the fields of mathematical modeling, energy systems optimization, and measurement technologies. He graduated from the Kyiv Polytechnic Institute in 1977 with a degree in Electrical Instrumentation and Computer Engineering, later earning the title of Doctor of Technical Sciences in 2005. Rising through the academic ranks, he began his professional journey at the Kyiv Polytechnic Institute, progressing from engineer to head of department (1977–1995), followed by serving as Deputy Minister of Education of Ukraine for Higher Education (1995–1998) and Rector of the National Aviation University (1998–2008). From 2008 to 2021, he worked at the Institute of Technical Thermophysics of the NAS of Ukraine as Chief Research Fellow and Deputy Director, and since 2022 he has been the Director of the General Energy Institute of the NAS of Ukraine. His primary research interests include the theory of measurements, information-measuring technologies, monitoring and optimization of thermophysical processes, and improving energy efficiency and environmental performance of energy systems. A skilled project manager and innovative problem solver, he has contributed significantly to international collaborations and has published extensively in IEEE and Scopus-indexed journals. According to Scopus, his scholarly impact includes 996 citations by 528 documents, 102 publications, and an h-index of 21, reflecting the wide recognition and influence of his research. His career is decorated with prestigious honors, including Academician of the NAS of Ukraine (2003), Laureate of the State Prize of Ukraine in Science and Technology (2001), Honored Worker of Science and Technology of Ukraine (1997), and honorary doctorates from universities in the USA, Spain, Germany, Lithuania, South Korea, and Georgia. As an IEEE member and respected research leader, Prof. Babak’s contributions continue to shape the advancement of energy research and mathematical modeling, making him a highly deserving recipient of international recognition for scientific excellence.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

  • Babak, V. P., Shchepetov, V. V., & Kharchenko, S. D. (2020). Wear resistance of self-lubricating coatings due to the formation of carbide graphite. Igor Sikorsky Kyiv Polytechnic Institute.
    Cited by 72 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures for measuring random angular quantities. Models and Measures in Measurements and Monitoring, 61–97.
    Cited by 69 documents.

  • Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures in measurements and monitoring. Springer International Publishing.
    Cited by 69 documents.

  • Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: theoretical aspects. Systems, Decision and Control in Energy II, 261–269.
    Cited by 57 documents.

  • Sokol, Y., Babak, V., Zaporozhets, A., Gryb, O., Karpaliuk, I., & Svetelik, O. (2024). Theoretical principles of acoustic radiation created by corona discharge. Detection of Corona Discharge in Electric Networks, 57–86.
    Cited by 1 document.

 

Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

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Dr. Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

Research Assistant at Zhejiang University of Technology, China

Dr. Muhammad Yousaf Iqbal is a Mechanical Engineer and Postdoctoral Researcher at Zhejiang University of Technology, specializing in vibration-based virtual sensors, RCCI engines, renewable energy systems, and advanced combustion monitoring. He earned his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, with expertise spanning vehicle engineering, automotive design, vibration analysis, and energy regenerative systems. His research portfolio includes projects on hydrogen–diesel RCCI engines, methanol-blended fuels, and regenerative hydraulic electromagnetic shock absorbers, demonstrating a strong link between academic innovation and industrial application. He has authored more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, co-authored a technical book, and contributed as a reviewer and editorial member with IEEE. With over 230 citations, leadership in international collaborations, and active involvement in student organizations, he continues to advance sustainable automotive and mechanical research globally.

Professional Profile

Google Scholar 

Education

Dr. Muhammad Yousaf Iqbal completed his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, focusing on vibration-based virtual sensors, RCCI engines, and sustainable energy systems. His doctoral research centered on combustion monitoring and virtual sensing technologies to enhance efficiency and reduce emissions in advanced engines. Prior to his Ph.D., he built a strong academic foundation in mechanical and automotive engineering, acquiring expertise in thermodynamics, heat transfer, and mechanical design. His academic training combined rigorous theoretical studies with practical industrial exposure, enabling him to develop advanced problem-solving skills and interdisciplinary knowledge. The breadth of his education reflects a commitment to combining innovation with real-world applications, laying the groundwork for his postdoctoral research at Zhejiang University of Technology and his continuous contributions to mechanical and energy engineering fields.

Experience

Dr. Muhammad Yousaf Iqbal possesses extensive academic, research, and industrial experience, combining over seven years of professional engagement across mechanical and automotive domains. As a Postdoctoral Researcher at Zhejiang University of Technology, he contributes to international collaborations and innovative research projects in vibration analysis, RCCI engines, and regenerative systems. His prior involvement includes doctoral research in advanced combustion systems and hands-on training with Dayun Truck Industry in vehicle design and assembly. He has successfully balanced teaching, mentoring, and supervising student research while actively contributing to the scientific community as a reviewer and editorial board member with IEEE. His experience demonstrates the ability to integrate academic rigor with industrial applications, ensuring impactful outcomes in automotive design, renewable energy solutions, and mechanical engineering innovations with strong global relevance.

Research Interest

Dr. Muhammad Yousaf Iqbal’s research interests span vibration-based virtual sensing, advanced combustion technologies, and sustainable energy systems. He specializes in the optimization of RCCI engines through alternative fuels, including hydrogen, diesel, and methanol blends, aiming to improve efficiency while reducing emissions. His work extends to developing energy regenerative hydraulic electromagnetic shock absorbers that contribute to energy recovery in vehicles, as well as projects involving automotive design, vehicle dynamics, and propulsion systems. He is equally engaged in mechanical design, thermodynamics, heat transfer, and composite materials, ensuring a multidisciplinary approach to innovation. His research bridges the gap between theory and practice, contributing to both academic advancements and industrial solutions. These interests reflect his long-term vision of fostering sustainable technologies for cleaner and more efficient mechanical and automotive engineering applications.

Award and Honor

Dr. Muhammad Yousaf Iqbal has been recognized for his significant contributions to research and innovation through multiple awards and honors. He has published more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, a recognition of his scientific rigor and dedication to impactful research. His academic achievements are complemented by international collaborations with prestigious research groups, earning him acknowledgment within the global research community. He co-authored a technical book on 3D Mechanical Design, which highlights his dedication to advancing engineering knowledge. His involvement with IEEE as an editorial member further adds to his professional recognition. These distinctions reflect his excellence in research, teaching, and leadership, underscoring his growing influence in mechanical and energy engineering while reinforcing his potential for continued recognition in future academic and professional endeavors.

Research Skill

Dr. Muhammad Yousaf Iqbal demonstrates advanced research skills in mechanical design, vibration analysis, thermodynamics, and combustion monitoring. He is proficient in developing vibration-based virtual sensors, enabling cost-effective real-time monitoring of NOx emissions in diesel and RCCI engines. His expertise includes experimental design, computational modeling, and data analysis for automotive and energy systems. Skilled in working with renewable and alternative fuels, he has contributed to optimizing hydrogen–diesel RCCI engines and investigating methanol fuel blends. He combines theoretical understanding with practical engineering skills, integrating design, manufacturing, and simulation to deliver innovative solutions. His cross-cultural collaboration experience and project management abilities strengthen his role in international research projects. With a strong publication record and editorial contributions, he possesses the technical, analytical, and leadership skills essential for advancing mechanical and automotive research.

Publication Top Notes

  • Title: A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction
    Authors: C Zhao, X Huang, Y Li, M Yousaf Iqbal
    Year: 2020
    Citation: 119

  • Title: A fractional Whitham-Broer-Kaup equation and its possible application to tsunami prevention
    Authors: Y Wang, YF Zhang, ZJ Liu, M Iqbal
    Year: 2017
    Citation: 23

  • Title: A study of advanced efficient hybrid electric vehicles, electric propulsion and energy source
    Authors: MY Iqbal, T Wang, G Li, D Chen, MM Al-Nehari
    Year: 2022
    Citation: 16

  • Title: Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine
    Authors: MY Iqbal, T Wang, G Li, S Li, G Hu, T Yang, F Gu, M Al-Nehari
    Year: 2022
    Citation: 15

  • Title: A short review on analytical methods for fractional equations with He’s fractional derivative
    Authors: Y Wang, YF Zhang, JG Liu, M Iqbal
    Year: 2017
    Citation: 15

  • Title: Investigation of accumulator main parameters of hydraulic excitation system
    Authors: Z Wu, Y Xiang, M Li, MY Iqbal, G Xu
    Year: 2019
    Citation: 13

  • Title: Study of external characteristics of hydraulic electromagnetic regenerative shock absorber
    Authors: MY Iqbal, Z Wu, G Xu, SA Bukhari
    Year: 2019
    Citation: 7

  • Title: A High-Efficiency Energy Harvesting by Using Hydraulic Electromagnetic Regenerative Shock Absorber
    Authors: MY Iqbal, Z Wu, W Tie, G Li, J Zhiyong, H GuiCheng
    Year: 2020
    Citation: 6

  • Title: Improving the effect of air chambers on micro-pressure waves from tunnel portals: Moderate underdamping
    Authors: F Liu, H Lei, M Wei, H Sun, MY Iqbal, D Chen
    Year: 2024
    Citation: 5

  • Title: A Triboelectric Piston–Cylinder Assembly with Condition‐Monitoring and Self‐Powering Capabilities
    Authors: G Li, H Wu, R Guo, H Zhang, L Li, MY Iqbal, F Gu
    Year: 2022
    Citation: 4

  • Title: Grinding mechanism of high-temperature nickel-based alloy using FEM-FBM technique
    Authors: M Al-Nehari, G Liang, L Ming, W Yahya, A Algaradi, MY Iqabal
    Year: 2021
    Citation: 4

  • Title: Cavitation Failure Analysis of Cylinder Liner in Diesel Engines Caused by Increased Combustion Pressure
    Authors: P Liu, R Tan, L Li, W Shi, J Chen, MY Iqbal, D Liu, G Li
    Year: 2024
    Citation: 1

  • Title: Combustion Parametric Investigations of Methanol-Based RCCI Internal Combustion Engine and Comparison with the Conventional Dual Fuel Mode
    Authors: MY Iqbal, T Wang, GX Li, W Ali
    Year: 2023
    Citation: 1

  • Title: Performance comparison of switching losses of SiC DMOS vs Si IGBT
    Authors: SA Bukhari, H Zhang, SH Bukhari, MY Iqbal
    Year: 2020
    Citation: 1

  • Title: Impact of Fischer-Tropsch diesel and methanol blended fuel on diesel engine performance
    Authors: Z Wu, T Wang, P Zuo, MY Iqbal
    Year: 2019
    Citation: 1

Conclusion

Dr. Muhammad Yousaf Iqbal stands out as an accomplished researcher whose work bridges academic innovation and industrial application. His expertise in vibration-based virtual sensing, RCCI engine optimization, and regenerative energy systems has contributed to advancements in sustainable automotive engineering. With extensive publications, international collaborations, and leadership in professional organizations, he has established himself as a rising figure in global research. His dedication to mentoring students, engaging in cross-disciplinary projects, and contributing as a reviewer and editorial member reflects both academic excellence and community involvement. Beyond his current achievements, he holds strong potential to lead pioneering projects that shape future technologies in clean energy and advanced mechanical systems. These contributions affirm his suitability for recognition, positioning him as a deserving candidate for prestigious research awards.

 

Seyed Mehdi Tavakkoli | Optimization | Best Researcher Award

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Assoc. Prof. Dr. Seyed Mehdi Tavakkoli | Optimization | Best Researcher Award

Associate Professor at Shahrood University of Technology, Iran

Dr. Seyed Mehdi Tavakkoli is a distinguished scholar in structural and computational engineering 🏗️📊, serving as Associate Professor at Shahrood University of Technology, Iran. With a Ph.D. in Civil Engineering – Structures from Iran University of Science & Technology 🎓, he has pioneered research in isogeometric analysis, structural topology optimization, and continuum mechanics. His prolific academic career includes over 30 peer-reviewed journal publications 📝, mentorship of MSc and Ph.D. students, and international collaboration at the University of Bath, UK 🌍. Dr. Tavakkoli is highly skilled in MATLAB, Python, and leading structural software tools 💻, blending theory with practical applications. His innovative contributions to damage detection, shape optimization, and smart materials position him as a leading voice in modern civil engineering 🔍🏅. He is deeply committed to advancing research, education, and global knowledge exchange.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Seyed Mehdi Tavakkoli holds a Ph.D. in Civil Engineering – Structures from Iran University of Science & Technology 🎓, where he specialized in isogeometric analysis and topology optimization using NURBS basis functions. Guided by renowned experts like Prof. Behrooz Hassani and Prof. Ali Kaveh, his dissertation laid the foundation for integrating computational geometry with structural optimization. His education blends strong mathematical rigor, numerical methods, and engineering design 🧠📐. Earlier degrees were equally grounded in high academic achievement, with a consistent focus on advanced mechanics and structural systems. His academic journey demonstrates a fusion of innovation and precision, making him an expert in structural modeling, finite elements, and smart structural systems. Dr. Tavakkoli’s education has positioned him as a forward-thinking engineer capable of solving complex multi-scale problems 🏗️🔍.

📊Professional Experience

Dr. Tavakkoli has over 15 years of academic and international research experience. He currently serves as an Associate Professor in the Civil Engineering Department at Shahrood University of Technology 🏛️, where he teaches undergraduate and postgraduate courses in structural analysis, finite element methods, and optimization. From 2013–2014, he worked as a Research Associate at the University of Bath, UK 🇬🇧, where he developed nonlinear models of piezoelectric-bistable laminates for energy harvesting. His teaching record is distinguished by the design of curricula focused on mechanics, computational methods, and structural systems. He has supervised numerous MSc and PhD theses, bringing theoretical insight into practical applications 📘👨‍🔧. His professional journey reflects a balanced commitment to academic excellence, innovation, and global collaboration 🌍📊.

🔬 Research Interests

Dr. Tavakkoli’s research lies at the intersection of computational mechanics, structural optimization, and smart materials. He specializes in isogeometric analysis, finite element modeling, and topology optimization of structures, particularly for energy-efficient and damage-tolerant design systems 🧮⚙️. His recent studies include multiscale modeling, couple stress theory, level-set methods, and elastoplastic material behavior in structural systems. He has also contributed to damage detection using time-domain responses and modal expansion methods. His work is regularly published in high-impact journals like Engineering with Computers, Computer-Aided Design, and Finite Elements in Analysis and Design 📑📈. Passionate about integrating theory and real-world solutions, his research advances fields such as additive manufacturing, structural health monitoring, and sustainable civil engineering systems 🌱🏗️.

🏅 Awards and Honors

Dr. Tavakkoli’s sustained contributions to civil and structural engineering have earned him recognition as a prolific researcher in computational design and optimization. While formal award titles are not explicitly listed, his continuous publication in top-tier international journals and collaborations with leading institutions, including the University of Bath, reflect his scholarly impact 🏆🌍. His research papers—cited widely in structural optimization and computational mechanics—have influenced both academia and industry. His role as a supervisor and project leader in complex optimization frameworks also underlines his academic leadership. The innovative nature of his work in isogeometric topology optimization is gaining increasing recognition across structural engineering circles, positioning him as a thought leader in the evolving landscape of smart and sustainable design systems 🧠🛠️.

🛠️ Research Skills

Dr. Tavakkoli possesses deep expertise in structural modeling, numerical methods, and advanced optimization techniques. He is proficient in programming languages such as MATLAB, Python, Visual Fortran, and Visual Basic 👨‍💻. His computational skillset includes structural analysis software like ETABS, SAP2000, and SAFE, alongside core platforms like AutoCAD and MS Office. His research utilizes isogeometric and finite element methods, multiscale modeling, and optimization algorithms including ant colony and level-set techniques 🔄📊. His capabilities also extend to damage detection and nonlinear modeling of smart materials. This combination of practical software fluency and high-level theoretical modeling makes him highly adaptable for modern engineering challenges—especially in the development of smart, safe, and efficient structural systems ⚡🏗️.

📝Publications Top Note

  • Title: Structural topology optimization using ant colony methodology
    Authors: A. Kaveh, B. Hassani, S. Shojaee, S.M. Tavakkoli
    Year: 2008
    Citations: 210
    Source: Engineering Structures, 30(9), 2559–2565

  • Title: An isogeometrical approach to structural topology optimization by optimality criteria
    Authors: B. Hassani, M. Khanzadi, S.M. Tavakkoli
    Year: 2012
    Citations: 169
    Source: Structural and Multidisciplinary Optimization, 45(2), 223–233

  • Title: Simultaneous shape and topology optimization of shell structures
    Authors: B. Hassani, S.M. Tavakkoli, H. Ghasemnejad
    Year: 2013
    Citations: 100
    Source: Structural and Multidisciplinary Optimization, 48(1), 221–233

  • Title: An isogeometrical approach to structural level set topology optimization
    Authors: H.A. Jahangiri, S.M. Tavakkoli
    Year: 2017
    Citations: 88
    Source: Computer Methods in Applied Mechanics and Engineering, 319, 240–257

  • Title: Application of isogeometric analysis in structural shape optimization
    Authors: B. Hassani, S.M. Tavakkoli, N.Z. Moghadam
    Year: 2011
    Citations: 74
    Source: Iranian Science, 18(4), 846–852

  • Title: An isogeometrical approach to error estimation and stress recovery
    Authors: B. Hassani, A. Ganjali, M. Tavakkoli
    Year: 2012
    Citations: 37
    Source: European Journal of Mechanics A: Solids, 31(1), 101–109

  • Title: Isogeometric shape optimization of three dimensional problems
    Authors: B. Hassani, M. Khanzadi, S.M. Tavakkoli, N.Z. Moghadam
    Year: 2009
    Citations: 33
    Source: 8th World Congress on Structural and Multidisciplinary Optimization, 1–5

  • Title: Isogeometric topology optimization of structures by using MMA
    Authors: S.M. Tavakkoli, B. Hassani, H. Ghasemnejad
    Year: 2013
    Citations: 27
    Source: International Journal of Optimization in Civil Engineering, 3(2), 313–326

  • Title: Free vibration of functionally graded thick circular plates: An exact and three-dimensional solution
    Authors: M.Z. Roshanbakhsh, S.M. Tavakkoli, B.N. Neya
    Year: 2020
    Citations: 25
    Source: International Journal of Mechanical Sciences, 188, 105967

  • Title: Structural damage detection in plane stress problems by using time domain responses and topology optimization
    Authors: F. Damghani, S.M. Tavakkoli
    Year: 2023
    Citations: 2
    Source: International Journal of Optimization in Civil Engineering (IJOCE), 13(2)

  • Title: An analytical study on piezoelectric-bistable laminates with arbitrary shapes for energy harvesting
    Authors: S.M. Tavakkoli, P.M. Weaver, C.R. Bowen, D.J. Inman, H. Alicia
    Year: 2015
    Citations: 2
    Source: [Not specified, likely conference proceedings or journal]

  • Title: Topology optimization of space structures using ant colony method
    Authors: S.M. Tavakkoli, L. Shahryari, A. Parsa
    Year: 2013
    Citations: 2
    Source: International Journal of Optimization in Civil Engineering, 3(3), 359–370

  • Title: Channels flow modeling by using isogeometric analysis
    Authors: R. Amini, R. Maghsoodi, N.Z. Moghaddam, S.M. Tavakkoli
    Year: 2016
    Citations: 1
    Source: Journal of Solid and Fluid Mechanics, 5(4)

  • Title: Size-dependent topology optimization for eigenfrequency maximization of microplates using consistent couple stress theory
    Authors: M.Z. Roshanbakhsh, S.M. Tavakkoli
    Year: 2025
    Source: Advances in Engineering Software, 206, 103941

🧾 Conclusion

Dr. Seyed Mehdi Tavakkoli exemplifies a rare blend of academic depth, technical precision, and forward-thinking research in structural engineering. With over three decades of cumulative experience across teaching, research, and international collaboration, he has become a key contributor to the evolving landscape of computational civil engineering 📘🌐. His isogeometric approach, grounded in rigorous mathematics and real-world applications, continues to influence emerging scholars and professionals alike. Whether through supervising doctoral candidates, publishing high-impact research, or exploring optimization in additive manufacturing, his work consistently pushes the boundary of what’s possible in engineering design. Dr. Tavakkoli stands out not only as a researcher but as a mentor, innovator, and thought leader of 21st-century structural systems 🏅🚀.

Olaf Dössel | Mathematical Engineering | Best Researcher Award

Published on by Math Scientist

Prof. Dr. Olaf Dössel | Mathematical Engineering | Best Researcher Award

Professor at Karlsruhe Institute of Technology KIT, Germany

Prof. Dr. Olaf Dössel 🎓, an esteemed biomedical engineering expert, served as Director of the Institute of Biomedical Engineering at Karlsruhe Institute of Technology (KIT) 🇩🇪 for over 25 years. With a PhD in Physics and over 700 publications 📚, his pioneering research spans ECG imaging 🫀, bioelectric field modeling, and AI-powered biosignal analysis 🤖. A Fellow of IAMBE, IUPESM, and EAMBES 🌐, he has shaped global scientific policy through leadership in EU, German, and international advisory boards. As Editor-in-Chief of Biomedical Engineering (2010–2022) and President of global conferences 🌍, he has advanced the field significantly. His work bridges research, education, and innovation, mentoring generations of engineers 👨‍🏫. A recipient of the Ragnar Granit Prize 🏅 and KIT’s Verdienstnadel, he remains a guiding force in biomedical science and technology.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Prof. Dr. Olaf Dössel began his academic journey in Physics at Universität Kiel, earning his Diploma in 1979 and PhD in 1982 🎓. His foundational education combined analytical rigor with scientific curiosity, setting the stage for his lifelong commitment to biomedical innovation 🧠. His PhD, supported by the Studienstiftung des deutschen Volkes, laid the groundwork for pioneering work in bioelectricity, signal processing, and cardiac imaging. The early exposure to quantitative and experimental physics 📐⚛️ helped develop a deep understanding of electromagnetics and biological systems, forming the basis of his interdisciplinary expertise. This robust educational path enabled him to integrate physics, engineering, and medicine into a visionary academic and research career that would shape the future of biomedical engineering worldwide 🌍.

🧪 Professional Experience

Prof. Dössel’s professional career spans both industrial research and academia. From 1982 to 1996, he held senior roles at Philips Research Laboratories Hamburg ⚙️, leading the “Measuring Techniques” group and contributing to applied medical technologies. In 1996, he became Full Professor and Director of the Institute of Biomedical Engineering at KIT 🏛️, where he served until retirement in 2022. As Dean and academic advisor, he influenced thousands of students and researchers 👨‍🏫. He led several national and EU-funded evaluations, contributed to medical technology strategy development, and presided over major conferences including the World Congress on Biomedical Engineering. His balanced blend of research, leadership, and mentorship reflects a career dedicated to advancing healthcare through engineering 🔬❤️.

🔬 Research Interests

Prof. Dössel’s research spans electrocardiology, cardiac modeling, medical imaging, and AI-based signal analysis 💓🖥️. He has advanced the understanding of atrial arrhythmias, ECG-imaging, and the inverse problem of electrocardiography. His work in computer-assisted heart modeling and impedance tomography has been internationally recognized, offering new insights into heart rhythms and diagnostic imaging. Using advanced algorithms and simulations, his research bridges clinical cardiology and engineering innovation ⚡📊. A pioneer in applying artificial intelligence to bioelectric signals, he enhances non-invasive diagnostics and patient-specific treatments. Prof. Dössel continues to shape the future of digital medicine, contributing to more accurate, personalized, and safer diagnostic tools worldwide 🌍🧬.

🏆 Awards and Honors

Prof. Dössel’s excellence has been widely recognized through prestigious awards 🥇. He received the Ragnar Granit Prize in 2003 for outstanding achievements in biomedical signal analysis and KIT’s Verdienstnadel in 2024 for exceptional service. His academic stature is underscored by multiple Fellowships, including with IAMBE, IUPESM, EAMBES, and DGBMT 🌐. He’s also a member of elite academies such as acatech, the Berlin-Brandenburg Academy of Sciences, and the North Rhine-Westphalian Academy 🏛️. His leadership in global scientific evaluation panels, advisory boards, and journal editorships—including Biomedical Engineering—further validates his impact on the international research landscape. These honors reflect a career defined by innovation, vision, and global collaboration 🌟.

🧠 Research Skills

Prof. Dössel exhibits mastery across computational modeling, biosignal processing, cardiac simulation, and medical imaging 📊💡. He possesses advanced skills in numerical methods, ECG data interpretation, inverse problem-solving, and AI applications in medicine. His expertise extends to interdisciplinary integration, bringing physics, engineering, and life sciences together to solve complex health problems 🔄🔍. As an editor and evaluator, he demonstrates critical analysis, peer review excellence, and strategic foresight in emerging biomedical trends. Equally important is his mentorship and ability to translate research into teaching, conference leadership, and policy impact. Prof. Dössel’s technical breadth, from theory to clinical translation, makes him a gold standard in biomedical engineering education and innovation 🧬🛠️.

Publications Top Note 📝

  • Title: Estimating Cardiac Active Tension from Wall Motion—An Inverse Problem of Cardiac Biomechanics
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 6
    Source: Conference Proceedings (Open Access)

  • Title: Development of a Human Body Model for Numerical Calculation of Electrical Fields
    Authors: FB Sachse, CD Werner, K Meyer-Waarden, O Dössel
    Year: 2000
    Citations: 61
    Source: Computerized Medical Imaging and Graphics, Volume 24, Issue 3, Pages 165–171
    DOI / Link: ScienceDirect – CMIG Journal

  • Title: CVAR‑Seg: An Automated Signal Segmentation Pipeline for Conduction Velocity and Amplitude Restitution
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 7
    Source: Frontiers in Physiology

  • Title: A Bi-atrial Statistical Shape Model for Large-scale In Silico Studies of Human Atria: Model Development and Application to ECG Simulations
    Authors: C Nagel, S Schuler, O Dössel, A Loewe
    Year: 2021
    Citations: 57
    Source: Medical Image Analysis, Volume 74, Article 102210
    DOI / Link: Medical Image Analysis – Elsevier

  • Title: A Reproducible Protocol to Assess Arrhythmia Vulnerability In Silico
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 24
    Source: Frontiers in Physiology

  • Title: Machine Learning Enables Noninvasive Prediction of Atrial Fibrillation Driver Location and Acute Pulmonary Vein Ablation Success Using the 12-lead ECG
    Authors: G Luongo, L Azzolin, S Schuler, MW Rivolta, TP Almeida, JP Martínez, … O Dössel
    Year: 2021
    Citations: 47
    Source: Cardiovascular Digital Health Journal, Volume 2, Issue 2, Pages 126–136
    DOI / Link: Cardiovascular Digital Health Journal

  • Title: Cycle Length Statistics During Human Atrial Fibrillation
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 10
    Source: Europace

  • Title: Parameter Estimation of Ion Current Formulations Requires Hybrid Optimization Approach to Be Both Accurate and Reliable
    Authors: A Loewe, M Wilhelms, J Schmid, MJ Krause, F Fischer, D Thomas, … O Dössel
    Year: 2016
    Citations: 31
    Source: Frontiers in Bioengineering and Biotechnology, Volume 3, Article 209
    DOI / Link: Frontiers – Bioengineering and Biotechnology

  • Title: Non‑Invasive Characterization of Atrial Flutter Using Recurrence Quantification on ECG
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 18
    Source: IEEE Transactions on Biomedical Engineering

  • Title: Selective Brain Hypothermia for MCA-M1 Stroke: A 3D Brain Temperature Model
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 8
    Source: IEEE Transactions on Biomedical Engineering

  • Title: Regional Lung Perfusion in ARDS by Impedance and CT
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 50
    Source: IEEE Transactions on Medical Imaging

  • Title: ECGdeli: An Open Source ECG Delineation Toolbox for MATLAB
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 52
    Source: SoftwareX

  • Title: Quantification of Potassium and Calcium Disorders via ECG
    Authors: Olaf Dössel et al.
    Year: 2021
    Citations: 13
    Source: Review Article (Journal)

  • Title: Electrogram Characteristics of Extra‑Pulmonary Vein AF Sources
    Authors: Olaf Dössel et al.
    Year: 2020
    Citations: 35
    Source: Scientific Reports

📌 Conclusion

Prof. Dr. Olaf Dössel is a luminary in biomedical engineering, whose work has transformed cardiovascular diagnostics, research methodologies, and interdisciplinary science 🌟. With a career spanning 40+ years, over 700 publications 📚, and leadership roles in global conferences, advisory panels, and academic societies, he has shaped generations of engineers and physicians. His holistic approach—combining education, innovation, and evaluation—continues to influence medical technology worldwide 🌍❤️. Post-retirement, he remains an active mentor, evaluator, and thought leader, championing responsible research and forward-thinking solutions. Prof. Dössel’s legacy is not just academic excellence but also the creation of a robust, ethical, and innovative biomedical engineering ecosystem 🚀🔬.