Esraa Kotb | Automotive Manufacturing | Research Excellence Award

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Dr. Esraa Kotb | Automotive Manufacturing | Research Excellence Award

Assistant Researcher | Central Metallurgical Research and Development Institute (CMRDI) | Egypt

Dr. Esraa Kotb is an emerging researcher in steel, physical metallurgy, and ferroalloys technology with strong contributions to applied and industrial materials research. Professional experience includes progressive research roles within a national metallurgical institute, active participation in funded projects, laboratory accreditation activities, and collaboration with multidisciplinary teams addressing advanced steel development and energy-efficient alloy production. Research interests focus on medium-manganese steels, ferroalloys processing, microstructure–property relationships, and sustainable metallurgical technologies. Research skills include materials characterization, alloy design, process optimization, experimental analysis, technical reporting, and project coordination. Awards and honors recognize excellence in research projects and thesis-level innovation. Overall, the profile reflects consistent scientific impact, industrial relevance, and commitment to advancing metallurgical research. She has achieved 10 Citations, 5 Documents, 2 h-index.

 

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Featured Publications


Silicomanganese Alloy from Rich Manganese Slag Produced from Egyptian Low-Grade Manganese Ore

– Journal of the Southern African Institute of Mining and Metallurgy, 2022

Mahmoud Zadehbagheri | Powertrain Engineering | Research Excellence Award

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Assoc. Prof. Dr. Mahmoud Zadehbagheri | Powertrain Engineering | Research Excellence Award

Member of Electrical Faculty | Islamic Azad University of Iran |  Iran

Assoc. Prof. Dr. Mahmoud Zadehbagheri is a distinguished researcher and academic professional with extensive contributions to electrical engineering, particularly in power electronics and modern power systems. His professional experience encompasses advanced research leadership, academic supervision, and international collaboration, with active involvement in high-impact journals and conferences. His research interests focus on renewable energy integration, distributed generation, microgrids, power quality enhancement, FACTS devices, optimization techniques, and smart energy systems. He demonstrates strong research skills in system modeling, optimization algorithms, power system analysis, simulation, and applied engineering solutions. His scholarly output and service have earned multiple academic recognitions and honors for research excellence and leadership. Overall, his work significantly advances sustainable energy technologies and intelligent power system development at both theoretical and applied levels.He has acheived 705 Citations, 58 Documents,16 h-index.

 

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705
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Zhen Guo | Automotive Robotics | Research Excellence Award

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Dr. Zhen Guo | Automotive Robotics | Research Excellence Award

Doctoral student |  Wuhan University of Technology |  China

Dr. Zhen Guo is an emerging researcher in intelligent fault diagnosis and industrial artificial intelligence, with work spanning advanced data-driven methods for complex mechanical and robotic systems. The academic profile reflects strong training in engineering research with a focus on applying deep learning and statistical learning to real-world reliability challenges. Professional experience includes active service as a peer reviewer for leading international journals and conferences in engineering informatics, artificial intelligence, measurement science, and mechanical systems, demonstrating recognition within the scholarly community. Research interests center on deep learning–based fault diagnosis, rotating machinery health monitoring, robotics, anomaly detection, imbalance learning, few-shot and incremental learning, and transfer learning, particularly for wind turbines, gearboxes, and autonomous systems. Research skills encompass convolutional and attention-based neural networks, adversarial learning, feature extraction, time-series analysis, imbalance data handling, and intelligent condition monitoring frameworks. Contributions are evidenced by publications in high-impact journals such as Renewable Energy, IEEE Transactions on Instrumentation and Measurement, Expert Systems with Applications, Measurement, Ocean Engineering, and Scientific Reports, addressing both theoretical modeling and practical deployment. Awards and honors are reflected through consistent publication in top-tier venues and trusted reviewer roles. Overall, the work demonstrates a coherent trajectory toward robust, scalable, and intelligent diagnostic solutions for next-generation industrial and transportation systems. He has achieved 152 Citations 11 Documents 7h-index.

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Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

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Assoc. Prof. Dr. Mehdi Modabberifar | Automobile Engineering | Research Excellence Award

Associate Professor | Arak University | Iran

Assoc. Prof. Dr. Mehdi Modabberifar is an accomplished researcher with sustained contributions to mechatronic systems, advanced manufacturing, and electrostatic-based actuation technologies, demonstrating a strong balance between theoretical modeling and experimental validation. His professional experience includes active involvement in academic research environments, collaborative projects, and applied engineering studies addressing challenges in precision actuation, robotic manipulation, and smart material systems. His research interests focus on manufacturing processes, mechatronic system design, electrostatic actuators and motors, sensors, gecko-inspired adhesives, robotic grippers, and micro- and nano-scale manipulation, with applications spanning robotics, automation, and intelligent mechanical systems. His research skills encompass system modeling and simulation, actuator and sensor design, experimental mechanics, electrostatic induction mechanisms, robotic end-effector development, data analysis, and performance optimization under varying operational conditions. He has authored a diverse body of peer-reviewed journal and conference publications in reputable international outlets, with several widely cited works on gecko-inspired robotic grippers, electrostatic motors, dielectric sheet conveying, and smart actuator behavior, reflecting both originality and impact. His scholarly output demonstrates interdisciplinary reach across robotics, materials, and manufacturing engineering. Awards and honors include recognition through citation impact and research visibility within his fields of expertise. Overall, his work reflects a consistent trajectory of innovation, methodological rigor, and meaningful contribution to modern mechatronics and intelligent manufacturing research. He has achieved 202 Citations 23 Documents 7 h-index.

 

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Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

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Ms. Ayşe Tuğba Yapıcı | Electric Vehicles | Best Research Article Award

Doctoral Researcher  |  Kocaeli University  |  Turkey

Ms. Ayşe Tuğba Yapıcı is a dedicated doctoral researcher whose academic journey is strongly rooted in cutting-edge technologies for electric vehicles, smart energy systems, and intelligent power electronics. She has cultivated significant professional experience through her active involvement in research addressing real-world problems such as electric vehicle charging optimization, grid-integrated charging infrastructures, and advanced modeling of power converter systems. Throughout her career, she has contributed to impactful scientific studies focusing on induction heating systems, charging time prediction using deep learning, and data-driven forecasting on electric vehicle adoption and infrastructure planning. Her research interests include electric vehicle technologies, charging station design, renewable-integrated smart grids, artificial intelligence–based energy forecasting, machine learning and deep learning applications in power systems, and IoT-enhanced smart mobility frameworks. She possesses strong research skills in Python-based deep learning toolkits, MATLAB/Simulink, DigSilent PowerFactory modeling, statistical evaluation metrics, time-series forecasting, optimization algorithms, and performance analysis of intelligent systems. She has published multiple peer-reviewed articles in international SCI/Scopus-indexed journals, delivering innovative research outcomes that offer comprehensive and practical solutions for the sustainable development of electric transportation. Her research achievements include proposing an intelligent deep learning–based framework for EV charging time prediction, integrating spatial–temporal mobility parameters, and enhancing operational efficiency for fast-charging infrastructures. Her work stands out for its interdisciplinary approach and technological significance, supporting the transition toward cleaner mobility, optimized charging networks, and smart energy management. In addition to research excellence, she continues to contribute to academic and scientific communities through conference participation, collaborations, and knowledge dissemination. She aims to advance secure, intelligent, and scalable charging automation systems that support next-generation autonomous electric mobility. Her long-term vision is to shape energy-efficient transportation ecosystems, reduce environmental impacts, and contribute to the global sustainability agenda through innovation and scientific leadership. She has achieved  3 Citations , 2 Documents,  1 h-index.

Featured Publications

Yapıcı, A. T., & Abut, N. (2025, November 23). An intelligent and secure IoT-based framework for predicting charging and travel duration in autonomous electric taxi systems. Applied Sciences.

Yapıcı, A. T., Abut, N., & Yıldırım, A. (2025, October 27). Estimation of future number of electric vehicles and charging stations: Analysis of Sakarya Province with LSTM, GRU and multiple linear regression approaches. Applied Sciences.

Yapıcı, A. T., & Abut, N. (2025, August 21). Geleceğe yönelik elektrikli araç ve şarj istasyonu sayılarının LSTM ve GRU derin öğrenme yöntemleri kullanılarak tahmin edilmesi: Kocaeli ili örneği. Politeknik Dergisi.

Yapıcı, A. T., Abut, N., & Erfidan, T. (2025, April 11). Comparing the effectiveness of deep learning approaches for charging time prediction in electric vehicles: Kocaeli example. Energies.

Yapıcı, A. T., & Abut, N. (2024, September 15). Elektrikli araç şarj istasyonu konum tasarımında, Digsilent yazılımı kullanılarak Kocaeli Üniversitesi Umuttepe Kampüsü için örnek uygulama. Black Sea Journal of Engineering and Science.

Ayşe Tuğba Yapıcı’s research advances intelligent and sustainable electric mobility by integrating deep learning, smart grid technologies, and IoT-based predictive frameworks to optimize charging infrastructure and energy management. Her work supports the transition toward autonomous electric transportation, reducing environmental impacts, improving urban mobility planning, and contributing to global innovation in smart energy systems. She envisions scalable, reliable, and human-centered smart mobility ecosystems that accelerate the adoption of clean transportation worldwide.

Hongbo Wang | Vehicle Dynamics | Best Researcher Award

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Prof. Hongbo Wang | Vehicle Dynamics | Best Researcher Award

Professor  |  Hefei University of Technology  | China

Prof. Hongbo Wang is a distinguished scholar whose work in intelligent vehicle dynamics and control has shaped both academic research and industrial applications, consistently advancing methodologies in vehicle motion modeling, intelligent control algorithms, and automated driving technologies. With extensive experience leading more than forty national, provincial, and municipal projects, his professional contributions span high-impact investigations into off-road vehicle technology, autonomous driving stability, integrated chassis control, and intelligent mobility systems. His research interests focus on vehicle dynamic behavior analysis, intelligent control strategies, computational modeling, and multi-source information fusion for advanced driving systems, supported by strong research skills in algorithm development, real-time system implementation, experimental platform construction, and interdisciplinary engineering integration. His portfolio of scientific achievements includes more than one hundred academic publications, thirty authorized invention patents, six software copyrights, participation in two provincial standard developments, and the publication of two influential monographs, positioning him as a leading contributor to the field’s evolution. His professional experience is complemented by service roles such as External Expert of the Off-Road Vehicle Technology Branch of the Chinese Society of Automotive Engineers, Member of the Vehicle Control and Intelligentization Technical Committee of the Chinese Association of Automation, and Director of the Anhui Society of Automotive Engineers, reflecting broad recognition across national organizations. His awards include the First Prize of the Science and Technology Award of the Chinese Society of Automotive Engineers, the Second Prize of the Machinery Industry Technology Invention Award, and multiple Anhui Provincial Teaching Achievement Awards, underscoring excellence in both research innovation and educational leadership. Overall, his career demonstrates a sustained commitment to advancing intelligent automotive technologies and fostering academic growth in the engineering community. He has achieved 532 Citations,  63 Documents , 12 h-index.

Profile:  Scopus

Featured Publications 

1. Wang, H., et al. (2025). Multi-objective parallel human–machine steering coordination control strategy of intelligent vehicles path tracking based on deep reinforcement learning. Chinese Journal of Mechanical Engineering (English Edition).

2. Wang, H., et al. (2025). Trajectory tracking multi-constraint model predictive control of unmanned vehicles based on sideslip stiffness estimation with XGBoost algorithm. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

3. Wang, H., et al. (2025). Yaw stability control of tractor vehicle based on nonsingular fast terminal sliding mode. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering.

4. Wang, H., et al. (2025). Intelligent vehicle path tracking coordinated optimization based on dual-steering cooperative game with fault-tolerant function. Applied Mathematical Modelling.

5. Wang, H., et al. (2025). Identification of intrusion obstacles for underground locomotives based on the fusion of LiDAR and wireless positioning technology. International Journal of Vehicle Performance.

Professor Hongbo Wang’s research advances intelligent vehicle control by integrating reinforcement learning, predictive modeling, and human–machine cooperation to enhance safety, stability, and autonomy. His work contributes directly to next-generation intelligent transportation systems, improves industrial vehicle technologies, and supports global innovation in automated mobility.

Saint Jacques Le-Majeur MANDELOT-MATETELOT | Powertrain Engineering | Best Innovation Award

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Saint Jacques Le-Majeur MANDELOT-MATETELOT | Powertrain Engineering | Best Innovation Award

Research Scholar  |  Pan African University  |  Central African Republic

Mr. Saint Jacques Le-Majeur Mandelot-Matelot is an accomplished civil engineer and academic professional recognized for his expertise in construction management, structural engineering, and sustainable materials. With a strong foundation in civil engineering and extensive leadership experience, he has served as Managing Director of La-Résurrection, overseeing major national and international construction projects involving design, renovation, and structural optimization. His academic and professional trajectory reflects a deep commitment to enhancing infrastructure resilience and sustainability, particularly through his research on the “Effect of Ronier Fiber and Silica Fume on Mechanical and Durability Properties of High-Strength Concrete,” which explores innovative material technologies for high-performance concrete. His research interests focus on advanced construction materials, sustainable infrastructure development, project management, and water and sanitation systems. Skilled in AutoCAD, ArchiCAD, Revit, Artlantis, and Robot, he demonstrates proficiency in structural analysis, geotechnical design, and hydraulic engineering. Beyond his technical expertise, he possesses strong managerial and entrepreneurial capabilities, excelling in tender preparation, cost analysis, and multidisciplinary team coordination. His teaching experience at the University of Bangui highlights his dedication to knowledge transfer, mentoring students in both theoretical and practical aspects of civil engineering. He has published peer-reviewed research articles in reputed journals such as ETASR and Wiley, reflecting his growing contribution to scientific advancement. His professional affiliations with the Order of Civil Engineers of the Central African Republic and the Central African Entrepreneurs Association further underscore his leadership in the engineering community. Among his professional development achievements are certifications in entrepreneurship, innovation, crisis management, and leadership. Through his blend of academic rigor, field experience, and innovation-driven mindset, Mandelot-Matelot continues to contribute to the advancement of sustainable construction and infrastructure systems in Africa and beyond. He has acheived 2 Publications.

 

Profiles:  ORCID | Research Gate

Featured Publications

Mandelot-Matelot, S. J. L., Mogire, P., & Odero, B. (2025, March). Performance of alkali treated and untreated Ronier fiber (Borassus aethiopum) on mechanical and durability properties of reinforced concrete. Engineering Reports, 7(3).

Mandelot-Matelot, S. J. L., Mogire, P., & Odero, B. (2025, January 9). Mechanical and durability assessment of concrete reinforced with treated and untreated Ronier fiber (Borassus aethiopum) [Preprint].

Parinaz Hosseini | Steering Systems | Best Researcher Award

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Mrs. Parinaz Hosseini | Steering Systems | Best Researcher Award

Student  |  Iran university of science and technology  |  Iran

Mrs. Parinaz Hosseini is an emerging researcher in the field of microwave and terahertz engineering, known for her focused contributions to the study and design of advanced metasurfaces and graphene-based structures. As a dedicated PhD scholar at the Iran University of Science and Technology, her research primarily explores reflectarray and transmitarray antennas operating in the terahertz frequency band, emphasizing innovations that enhance beam steering, power efficiency, and reconfigurability for next-generation communication systems. Her expertise extends to the development of hybrid graphene–metal metasurfaces, where she has made notable progress in achieving fully controllable beam-steering mechanisms at 1-THz, a pioneering advancement in the field. Parinaz’s technical acumen is supported by a strong foundation in microwave circuit design and electromagnetic simulation, with additional research experience in active and passive microwave devices and MRI power amplifiers. Her skills include computational modeling, electromagnetic wave manipulation, device optimization, and practical antenna prototyping, allowing her to bridge theoretical innovation with engineering application. Through her publications in reputable journals such as Scientific Reports and IET Microwaves, Antennas & Propagation, she has demonstrated a consistent focus on precision, creativity, and technological advancement. Though early in her career, her work reflects a growing impact within the scientific community, supported by collaborative endeavors and potential for interdisciplinary innovation in terahertz systems. Parinaz aspires to contribute to the advancement of high-frequency communication technologies and intelligent electromagnetic devices through innovative design and materials integration. Her academic integrity, research productivity, and commitment to scientific excellence make her a strong candidate for recognition through competitive awards and academic honors. She has acheived 11 Citations , 3 Documents , 1 h-index .

Profiles:  ORCID  |  Scopus

Featured Publications

  1. Hosseini, P., & Oraizi, H. (2022). Analysis and design of terahertz reflectarrays based on graphene cell clusters. Scientific Reports, 12(1), Article 22117.

  2. Hosseini, P., & Oraizi, H. (2025). Fully controllable beam-steering 1-THz transmitarray using graphene–metal hybrid metasurface. IET Microwaves, Antennas & Propagation.

Tong Wang | Automotive Materials | Young Scientist Award

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Assoc. Prof. Dr. Tong Wang | Automotive Materials | Young Scientist Award

Deputy director| Changan university | China


Tong Wang is an accomplished scholar and innovator in the field of automotive and vehicle engineering, currently serving as an Associate Professor, Doctoral (International) and Master’s Supervisor at the School of Automotive Engineering, China. He holds a Ph.D. in Engineering, specializing in intelligent electric vehicle design and lightweight smart design technologies, with a strong academic background rooted in advanced mechanical systems and sustainable mobility solutions. Throughout his professional career, Dr. Wang has built extensive expertise through his active participation in over 20 research projects, including both national and international collaborations, contributing significantly to the advancement of intelligent, low-carbon, and high-efficiency vehicle systems. His professional experience extends beyond academia into technology innovation networks, serving as a Young Expert of the Lightweight Technology Innovation Strategic Alliance under the China Society of Automotive Engineers, a Member of the Flying Car Branch of the Chinese Aeronautical Society, and an active participant in the Shaanxi Automotive Engineering Society’s Youth Working Committee and Low-Carbon Environmental Protection Branch. Dr. Wang’s research interests encompass intelligent electric vehicle development, structural lightweighting, computational vehicle design, and sustainable transportation systems, with research skills spanning computer-aided engineering (CAE), multi-objective optimization, material simulation, and dynamic modeling. He has authored more than 20 peer-reviewed publications in Scopus- and IEEE-indexed journals, delivered over 10 conference presentations, and holds over 10 patents, reflecting a robust integration of theory and application. Among his recognitions, Dr. Wang has been honored as a Jiangsu Province Double Innovation Talent, highlighting his leadership in academic innovation and practical engineering. Overall, his consistent contributions to research, mentorship, and technological development underscore his strong potential to lead the next generation of sustainable automotive innovation and research excellence in China and beyond. Dr. Wang Tong has 12 citations, 9 published papers, and an h-index of 3 (view h-index button is disabled in preview mode).

Profiles:  Scopus | ORCID  | Research Gate

Featured Publications

Wang, T., Ma, Y., & Wang, S. (2024). Intelligent prediction method for thermal properties of automotive basalt fiber composite materials based on fitting normalization function. Materials Today Communications. SSRN.

 

 

 

Kristaq Hazizi | Automotive Engineering | Best Researcher Award

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Dr. Kristaq Hazizi | Automotive Engineering | Best Researcher Award

Lecturer in Mechanical and Automotive Engineering  | Coventry University | United Kingdom

Dr. Kristaq Hazizi is a Lecturer in Mechanical and Automotive Engineering at Coventry University, with over 15 years of combined academic and industry experience dedicated to advancing sustainable automotive technologies. He earned his Ph.D. in Automotive Engineering from Coventry University in 2013, where his doctoral research centered on advanced engine simulation and alternative fuels to enhance efficiency and reduce emissions. Professionally, Dr. Hazizi has contributed to both academia and industry by leading research projects on engine modeling, combustion optimization, and the integration of renewable fuels into modern powertrain systems. His research interests lie in engine simulation, hybrid propulsion systems, and low-carbon transportation, areas that align with global efforts to achieve cleaner and more efficient mobility solutions. His research skills include advanced numerical modeling, computational fluid dynamics (CFD), thermodynamic analysis, and applied experimental testing for engine performance evaluation. Dr. Hazizi has successfully secured competitive research funding and has collaborated with international teams to promote sustainable energy solutions. His publications appear in reputed IEEE and Scopus-indexed journals and conference proceedings, reflecting a growing influence in the automotive engineering field. In addition to research, he is an active mentor to students, guiding projects and theses in sustainable mobility, and has contributed to professional communities as a member of IEEE and SAE. Dr. Hazizi has received recognition for his academic excellence and contributions to advancing green automotive technologies, including institutional awards for research innovation and teaching. His dedication to bridging research with practical applications demonstrates his commitment to both scientific advancement and societal impact. With a vision to expand international collaborations and publish in more high-impact journals, Dr. Hazizi continues to shape the future of sustainable transportation research, with 17 citations, 4 published documents, and an h-index of 2.

Profiles:  Scopus | ORCID | Google Scholar

Featured Publications

Hazizi, K., & Ghahleeh, M. (2023). Design and analysis of a typical vertical pressure vessel using ASME code and FEA technique. Infrastructures, 7(3), 78. Cited by: 22

Hazizi, K., Ramezanpour, A., Costall, A., & Asadi, M. (2019). Numerical analysis of a turbocharger compressor. E3S Web of Conferences, 95, 04008. Cited by: 6

Gophane, I., Dharashivkar, N., Mulik, P., & Patil, P. (2024). Analysis of pressure vessel. Indian Journal of Science and Technology, 17(12), 1148–1158. Cited by: 2

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Applied Engineering, 4(3), 948–973. Cited by: 1

Hazizi, K., Ghahleeh, M., & Rasool, S. (2023). Analytical and numerical investigation of fatigue life in rectangular plates with opposite semicircular edge single notches. Preprints, 2023080788. Cited by: 1