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.

Andre Peremans | Operations Research | Best Researcher Award

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Dr. Andre Peremans | Operations Research | Best Researcher Award

Department of Physics at University of Namur | Belgium

Dr. André Peremans is a distinguished Belgian physicist recognized for his pioneering contributions in laser-based spectroscopy, surface science, and nonlinear optical techniques. He obtained his Ph.D. in Science in 1990 from the Facultés Universitaires Notre-Dame de la Paix, Belgium, where his dissertation focused on resonant infrared laser stimulation and molecular desorption, and later earned the Agrégation de l’Enseignement Supérieur in 2004, underscoring his academic leadership. Over the years, he has held key research positions with the Belgian National Fund for Scientific Research (FNRS), progressing from Research Associate to Research Director, and gained valuable international experience through collaborations at the University of Tokyo, Paris-Sud (LURE), and SUNY Buffalo. His professional career is defined by expertise in nonlinear vibrational spectroscopy, sum-frequency generation (SFG), and the development of advanced laser systems for exploring electrochemical interfaces, biomolecular recognition, and biosensors. Dr. Peremans has demonstrated exceptional research skills in spectroscopy, biophotonics, and laser diagnostics, producing more than 60 high-impact publications in leading journals such as Physical Review Letters, Journal of Physical Chemistry, Chemical Physics Letters, Optics Letters, and Biosensors and Bioelectronics, along with multiple book chapters that have influenced physics, chemistry, and materials science. His innovative work is further reflected in international patents on laser technologies and spectroscopy, bridging fundamental research with applied solutions. In addition to his scientific output, he has supervised several Ph.D. theses, contributing significantly to the training and mentorship of early-career researchers. His achievements have been recognized through prestigious honors, including the French Community Award for his Ph.D. dissertation in 1990 and the Economic Prize of the Province of Namur in 1999. In conclusion, Dr. Peremans stands as an influential figure in physics and spectroscopy, whose leadership, innovation, and international collaborations continue to shape cutting-edge research and foster advancements with profound scientific and societal impact.

Profile: Scopus

Publications

1. Evaluation of table-top lasers for routine infrared ion spectroscopy in the analytical laboratory. (2021). Analyst. [Citations: 13]

2. Assessment of disinfection potential of Q-switch Nd:YAG laser on contaminated titanium implant surfaces. (2021). Materials. [Citations: 7]

3. Super resolution far field infrared microscopy [Conference paper]. (2020). [Citations: 1]

4. Q-Switch Nd:YAG laser-assisted elimination of multi-species biofilm on titanium surfaces. (2020). Materials. [Citations: 14]

5. Q-Switch Nd:YAG laser-assisted decontamination of implant surface. (2019). Dentistry Journal. [Citations: 17]

Faïçal Ndaïrou | Optimization | Best Researcher Award

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Dr. Faïçal Ndaïrou | Optimization | Best Researcher Award

Researcher at University of Aveiro | Portugal

Dr. Faïcal Ndaïrou is an accomplished researcher in applied mathematics, fractional calculus, and mathematical epidemiology, recognized for his expertise in optimization theory and infectious disease modeling, with a career that reflects both academic excellence and international research impact. He began his higher education at the African Institute for Mathematical Sciences (AIMS) in Cameroon, where he earned a Master’s in Mathematical Sciences in 2015 with Distinction, focusing on mathematical epidemiology, computational science, and bioinformatics. He went on to complete two doctoral programs that highlight his interdisciplinary strengths: in 2020, he earned a Ph.D. in Water Sustainability and Development from the University of Vigo, Spain, with Outstanding Cum Laude honors, focusing on mathematical modeling of water-related infectious diseases, and in 2022, he completed a Ph.D. in Applied Mathematics at the Universities of Aveiro, Porto, and Minho, Portugal, with Distinction, specializing in optimization subject to fractional dynamics with applications to disease modeling. Professionally, Dr. Ndaïrou has contributed as a researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), Portugal, and more recently as a postdoctoral researcher at the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, supported by the prestigious PIKOM fellowship. His research interests lie in fractional calculus, optimization, computational mathematics, and epidemiological modeling, and his skills include proficiency in Python, R, Matlab, Julia, Maple, Sage, and LaTeX. He has published in leading journals such as Applied Mathematics and Computation, Chaos, Solitons & Fractals, and Mathematics, while serving as Guest Editor and on editorial boards for MDPI Mathematics and Frontiers in Applied Mathematics and Statistics. A recipient of highly competitive scholarships from FCT Portugal, the Bulgarian Ministry of Education, and AIMS Cameroon, Dr. Ndaïrou continues to build a reputation as a rising leader whose research bridges theoretical innovation with urgent societal challenges in health and sustainability.

Profiles: Scopus | Google Scholar | ORCID

Publications

1. Ndaïrou, F., Area, I., Nieto, J. J., & Torres, D. F. M. (2020). Mathematical modeling of COVID-19 transmission dnamics with a case study of Wuhan. Chaos, Solitons & Fractals, 135, 109846. Citations: 885

2. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2021). Fractional model of COVID-19 applied to Galicia, Spain and Portugal. Chaos, Solitons & Fractals, 144, 110652. Citations: 106

3. Area, I., Ndairou, F., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2017). Ebola model and optimal control with vaccination constraints. arXiv preprint arXiv:1703.01368. Citations: 102

4. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2018). Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil. Mathematical Methods in the Applied Sciences, 41(18), 8929–8941. Citations: 63

5. Area, I., Losada, J., Ndairou, F., Nieto, J. J., & Tcheutia, D. D. (2017). Mathematical modeling of 2014 Ebola outbreak. Mathematical Methods in the Applied Sciences, 40(17), 6114–6122. Citations: 40

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.

 

Zohaib Khan | Optimization | Best Researcher Award

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Dr. Zohaib Khan | Optimization | Best Researcher Award

Jiangsu University, China

Zohaib Khan is a dedicated researcher specializing in machine learning, object detection, and control science engineering, with a strong focus on precision agriculture and AI-driven automation. Currently pursuing a PhD at Jiangsu University, China, he has made significant contributions to deep learning-based agricultural robotics, publishing multiple first-author papers in high-impact SCI Q1, Q2, and EI journals. His work emphasizes real-time detection, optimization algorithms, and AI-driven sustainability solutions. With extensive mentoring experience (50+ Bachelor’s and 10 Master’s students), he has played a key role in academic development. Zohaib has received numerous national and international awards, including first prizes in elite research and innovation competitions. His technical expertise spans Python, MATLAB, LaTeX, and AI-driven modeling, complementing his ability to lead interdisciplinary research. With a passion for advancing AI applications in agriculture, he continues to drive innovation in sustainable and automated farming solutions.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Zohaib Khan is currently pursuing a PhD in Control Science Engineering at Jiangsu University, China (2022–2026), specializing in machine learning and object detection. He previously earned an MSc in Electrical Engineering (2019–2022) from the same institution, focusing on power systems and renewable energy. His Bachelor’s degree in Electrical Power Engineering (2013–2017) from Swedish College of Engineering and Technology, Pakistan, laid the foundation for his technical expertise. His early academic years were marked by excellence, having completed Pre-Engineering at Fazaia Degree College (2011–2013) and his Secondary School Certificate (2009–2011) at Agricultural University Public School. Zohaib’s academic journey is distinguished by his strong analytical skills and passion for integrating AI and automation in engineering solutions. His education reflects a deep commitment to advanced research, innovation, and interdisciplinary problem-solving, positioning him as a future leader in AI-driven technologies and precision agriculture.

Professional Experience

Zohaib Khan has gained substantial experience in both academic research and engineering practice. As an intern at WAPDA, Pakistan, he developed hands-on expertise in power distribution and transmission lines, strengthening his understanding of grid operations and maintenance. Later, as an Electrical Engineer at LIMAK (JV) ZKB – CPEC Project (2017–2018), he contributed to electrical system design, installation, and maintenance, gaining valuable project management experience. His role involved troubleshooting, safety compliance, and interdisciplinary collaboration, enhancing his problem-solving capabilities. In academia, Zohaib has mentored over 50 Bachelor’s and 10 Master’s students, guiding them through research projects in machine learning, object detection, and automation. His strong writing, teaching, and IT skills have been instrumental in fostering innovation. His diverse experience, spanning applied research and engineering implementation, makes him a well-rounded professional capable of driving breakthroughs in AI-powered automation and precision agriculture.

Research Interest

Zohaib Khan’s research focuses on machine learning, deep learning, object detection, and AI-driven automation, with applications in precision agriculture and robotics. His studies revolve around real-time detection, optimization algorithms, and advanced control systems for agricultural sustainability and industrial automation. He has pioneered AI-driven precision farming techniques, developing deep learning-enhanced YOLOv7 and YOLOv8 algorithms for real-time crop health assessment and robotic spraying systems. Additionally, his work explores autonomous navigation in unstructured farmlands, energy-efficient control systems, and reinforcement learning for AI-based decision-making. His research extends to risk assessment in renewable energy systems, contributing to more efficient and resilient smart grids. Through interdisciplinary collaborations, Zohaib continues to push the boundaries of AI in sustainable agriculture, robotics, and industrial automation, aiming to develop intelligent, scalable, and high-impact solutions for modern technological challenges.

Awards and Honors

Zohaib Khan has received multiple prestigious awards recognizing his contributions to research, innovation, and academic excellence. He has won First Prizes in National Competitions, including the China University Business Elite Challenge (2024) and the Brand Planning Competition (2024). His research excellence was acknowledged with the Excellent Paper Award at the Sino-award (2021) and special recognition in Jiangsu Province Graduate Energy-saving and Low-Carbon Research Competition (2023). Additionally, he was honored as an Outstanding Student in the 17th “Yale School of Jiangsu University” program and received a Certificate of Excellence for Teaching Assistance. His leadership and public speaking skills earned him first place in an English debate at Jiangsu University. These accolades reflect his dedication to research, leadership in innovation, and commitment to advancing AI applications in engineering and agriculture, solidifying his reputation as a promising researcher in his field.

Conclusion

Zohaib Khan’s academic, professional, and research journey showcases his exceptional talent in AI-driven automation, machine learning, and precision agriculture. His extensive experience in research, mentoring, and engineering practice positions him as a leading scholar in intelligent agricultural robotics and sustainable AI applications. With a strong publication record in high-impact journals (SCI Q1, Q2, and EI) and multiple national and international awards, he has demonstrated his ability to drive innovation and solve real-world problems. His work in deep learning-based automation and AI-driven optimization techniques continues to push the boundaries of technology for sustainability and efficiency. As he progresses in his career, Zohaib remains committed to advancing cutting-edge research, fostering academic collaborations, and contributing transformative solutions in AI, robotics, and smart energy systems. His dedication and achievements make him a strong candidate for prestigious research awards and a key contributor to the future of AI in engineering and agriculture.

Publications Top Noted