Mohamed Samir Zayed | Engineering | Best Researcher Award

Published on by Academic Achievements

Ms. Mohamed Samir Zayed | Engineering | Best Researcher Award

Ms. Mohamed Samir Zayed | Engineering | Assistant Lecturer at Suez University | Egypt

Prof. Mohamed Samir Zayed is an emerging scholar and technical expert in Electrical Power and Machines, recognized for his strong academic foundation, professional dedication, and growing research contributions within the field of renewable energy systems and electrical grid technologies. Prof. Mohamed Samir Zayed completed his Bachelor’s Degree in Electrical Power and Machines at Suez University with an Excellent with Honors distinction, demonstrating early academic excellence supported by a top-grade graduation project focused on the design and implementation of an advanced alarm system. His professional experience includes serving as an Assistant Teacher in the Department of Electrical Power and Machines at Suez University, where he contributes to course delivery, laboratory instruction, student guidance, and departmental academic activities. Additionally, he serves as the Technical Manager of the Solar Energy Testing and Consulting Center (SETC) at Suez University, where he led the center to achieve EGAC accreditation, showcasing his capability in laboratory management, quality systems, and technical compliance with international standards. His research interests include power system protection, renewable energy integration, fault current limitation techniques, grid stability, and emerging smart-grid applications. His research skills extend to MATLAB modeling, simulation of electrical circuits, renewable system analysis, fault current limiters, multisim simulations, and advanced technical software used in industrial and academic applications. Prof. Mohamed Samir Zayed has also delivered certified training programs in ISO 17025, ISO 19011, statistical quality control, and safety precautions, strengthening his technical competency and contribution to professional development within the engineering community. His awards and honors include earning honors-level distinctions during his undergraduate studies and achieving accreditation success for the SETC, reflecting his leadership and technical excellence. In conclusion, Prof. Mohamed Samir Zayed stands out as a promising academic and technical professional whose contributions in teaching, research, laboratory leadership, and renewable energy applications continue to grow, positioning him as a valuable contributor to advancing modern electrical engineering solutions.

Profile: ORCID

Featured Publication

  1. Zayed, M. S. (2025). Development of a new solid state fault current limiter for effective fault current limitation in wind-integrated grids. Electronics.

 

Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

Published on by Academic Achievements

Dr. Muhammad Tahir Naseem | Electronic Engineering | Best Research Article Award

Dr. Muhammad Tahir Naseem | Electronic Engineering | Research Professor at Yeungnam University | South Korea

Dr. Muhammad Tahir Naseem is a leading academic and researcher in the field of computer science, with a specialization in artificial intelligence, computer vision, and image processing. His work is recognized internationally for contributing to cutting-edge solutions in medical diagnostics, intelligent systems, and secure image communication. As a faculty member at Yeungnam University, Dr. Muhammad Tahir Naseem continues to advance knowledge through interdisciplinary research, impactful publications, and academic mentorship. With a strong foundation in theoretical and applied domains, he has consistently demonstrated excellence across various research activities and collaborative networks. His reputation for precision, innovation, and scholarly engagement reflects his commitment to both scientific inquiry and societal benefit.

Academic Profile:

Google Scholar

Education:

Dr. Muhammad Tahir Naseem completed his doctoral studies in Electrical and Computer Engineering, focusing on intelligent diagnostic systems and secure signal processing methodologies. His academic journey has been rooted in analytical depth and interdisciplinary orientation, combining core principles of artificial intelligence with real-world applications in healthcare technologies and multimedia systems. Prior to his doctoral research, he obtained strong foundational training in computing and electronics, equipping him with the technical competencies needed to work across a wide range of academic and industrial projects. His educational background laid the groundwork for a successful research career, which has since evolved through both theoretical development and experimental validations.

Experience:

Dr. Muhammad Tahir Naseem possesses extensive teaching and research experience in both national and international institutions. He has held academic roles that involve supervising graduate-level research, delivering specialized courses, and coordinating collaborative initiatives across departments and research labs. He has worked closely with multidisciplinary teams to execute research projects involving medical imaging, wireless communication, and intelligent systems. Dr. Muhammad Tahir Naseem’s academic service also includes peer reviewing for indexed journals and contributing to scientific program committees for international conferences. His experience has enabled him to develop and guide solutions that integrate AI models with practical outcomes in healthcare, communication systems, and data security.

Research Interest:

Dr. Muhammad Tahir Naseem’s primary research interests span artificial intelligence, computer vision, signal and image processing, and intelligent diagnosis. His current focus is on applying deep learning models to medical imaging for disease detection and prognosis, particularly in the areas of histopathology and pathological gait analysis. He is also exploring advancements in resource allocation for wireless communication systems using neural networks and fuzzy logic. Another area of interest includes secure image watermarking and digital authentication techniques using chaos theory and residue number systems. His interdisciplinary research is aimed at improving real-time diagnostic capabilities, data integrity, and resource efficiency in complex systems.

Award:

Dr. Muhammad Tahir Naseem has been consistently recognized for his academic excellence and research contributions in the field of intelligent systems. His work in medical image analysis and adaptive communication networks has earned appreciation from peers and international collaborators. He has been nominated for awards that acknowledge high-impact research, publication quality, and innovation in computing technologies. His leadership in collaborative projects and dedication to solving real-world problems through AI-driven solutions positions him as a strong candidate for academic and research-based honors. His research outputs not only contribute to academic knowledge but also deliver tangible benefits to healthcare and digital communication systems.

Selected Publications:

  • “Malignancy detection in lung and colon histopathology images using transfer learning with class selective image processing” – Published in 2022, with 241 citations

  • “Removal of random valued impulse noise from grayscale images using quadrant based spatially adaptive fuzzy filter” – Published in 2020, with 36 citations

  • “Hybrid approach for facial expression recognition using convolutional neural networks and SVM” – Published in 2022, with 35 citations

  • “Robust and fragile watermarking for medical images using redundant residue number system and chaos” – Published in 2020, with 19 citations

Conclusion:

Dr. Muhammad Tahir Naseem stands out as a dedicated researcher and academic who brings together theory, application, and innovation in his work. His expertise in AI, signal processing, and diagnostic imaging is evident through his scholarly outputs and collaborative achievements. Through impactful research, peer-reviewed publications, and active participation in international academic platforms, he has contributed meaningfully to both scientific advancement and community benefit. Dr. Muhammad Tahir Naseem’s work continues to push boundaries in intelligent healthcare systems and secure information processing, making him a highly deserving candidate for nomination and recognition in the academic award landscape.

 

 

Yuanyuan Xu | Engineering | Best Researcher Award

Published on by Academic Achievements

Prof. Yuanyuan Xu | Engineering | Best Researcher Award

Prof. Yuanyuan Xu | Engineering – Guangdong Ocean University, China

Professor Xu Yuanyuan is an accomplished Chinese electrical engineering scholar, currently serving at Guangdong Ocean University. Born in July 1988 in Suixian, Henan Province, she has cultivated a strong academic and professional career focused on superconducting motor technologies, offshore wind energy systems, and ship propulsion innovations. With deep roots in both theoretical research and practical application, she has become a rising figure in the marine electrical systems and renewable energy community. Her interdisciplinary contributions and leadership in several national and provincial research projects affirm her as a deserving candidate for the Best Researcher Award.

Profile Verified:

ORCID

Education:

Professor Xu’s academic journey demonstrates a global and interdisciplinary outlook. She earned her undergraduate degree in Automation from Henan University of Science and Technology in 2010. Pursuing further expertise, she enrolled in a joint Master’s and Doctoral program at Southwest Jiaotong University in Vehicle Operation Engineering, graduating in 2015. During the same period, she earned a PhD in Electronics and Electrical Engineering from Tokyo University of Marine Science and Technology under the supervision of Professor Izumi Mitsuru. This dual academic training provided her with a robust foundation in motor design, marine propulsion systems, and advanced superconductivity applications.

Experience:

Xu Yuanyuan began her postdoctoral and early faculty career at Guangdong Ocean University in 2015. Rapidly progressing through the academic ranks, she was appointed Associate Professor in 2017 and promoted to full Professor in 2024. Her long-standing research focus has included motor parameter optimization, energy-efficient marine electrical systems, and fault diagnosis for hybrid ship propulsion. She has also actively mentored student innovation projects and contributed to several national-level research initiatives, reflecting her deep commitment to academic excellence and applied engineering development.

Research Interests:

Professor Xu’s research interests span several forward-looking areas of marine engineering and applied superconductivity. Her core focus lies in:

  • Ship control system monitoring and performance optimization

  • Motor design and optimization for marine applications

  • Control strategies for ship hybrid electric propulsion systems

  • Intelligent control of ship operations

Her interdisciplinary research merges computational modeling, system simulations, and experimental validations—enabling her to advance the practical performance of next-generation ship propulsion technologies.

Awards:

Professor Xu has been honored with several prestigious accolades recognizing her academic and pedagogical contributions. Notably, she received the China Navigation Society Young Talents Support Engineering Talents Award (2022) and the Teaching Master Award from Guangdong Ocean University (2023). She also received the Excellence in Teaching Quality Award during the COVID-19 pandemic and was recognized for her online hybrid teaching module “Basics of Marine Automation” (2020). Additionally, she received guidance awards for undergraduate thesis excellence and was instrumental in securing a Bronze Award at the 8th China International Internet+ Competition in 2022.

Publications:

  1. 🛳️ A Saturation Adaptive Nonlinear Integral Sliding Mode Controller for Ship Permanent Magnet Propulsion Motors, Journal of Marine Science and Engineering, 2025 – Cited by 6.
  2. ⚙️ Non-Singular Fast Terminal Composite Sliding Mode Control of Marine Permanent Magnet Synchronous Propulsion Motors, Machines, 2025 – Cited by 5.
  3. 🌪️ Characteristic Research and Structural Optimization of Coreless Superconducting Linear Traction Motor, Micromotors, 2024 – Cited by 7.
  4. 🌀 Multi-objective Optimization of Superconducting Linear Motor Considering Racetrack Coils, IEEE TASC, 2024 – Cited by 9.
  5. 🌊 Optimization Study of the Main Parameters of Wind Turbine Generators, Superconductor Science and Technology, 2022 – Cited by 11.
  6. ⚡ Study on Electrical Design of Large-Capacity Fully Superconducting Offshore Wind Turbine Generators, IEEE TASC, 2021 – Cited by 15.
  7. 🌍 Electrical Design and Structure Optimization of 10 MW Superconducting Wind Turbine Generators, Physica C, 2020 – Cited by 17.

Conclusion:

Professor Xu Yuanyuan stands at the forefront of research in marine propulsion, wind energy systems, and superconducting motor technologies. Through her strategic leadership in multi-institutional projects, mentorship of emerging researchers, and commitment to academic excellence, she has significantly advanced the frontiers of electrical engineering in marine contexts. Her globally recognized research, practical innovations, and dedication to student success render her an outstanding candidate for the Best Researcher Award. Her work not only contributes to scholarly literature but also drives forward the transition toward intelligent and sustainable marine energy systems.

 

 

 

Dr. Wang Jia | Engineering | Women Researcher Award

Published on by Academic Achievements

Dr. Wang Jia | Engineering | Women Researcher Award

Dr. Wang Jia | Engineering – Student at Shanghai Jiao Tong University, China

Wang Jia is an emerging scholar in the field of computational fluid dynamics and artificial intelligence, currently pursuing her Ph.D. in Transportation Engineering. Her work integrates cutting-edge deep reinforcement learning (DRL) algorithms with high-fidelity numerical simulation tools to enhance active flow control strategies. With a multidisciplinary foundation in hydraulic engineering, computer science, and high-performance computing, she is known for her innovative contributions in simulating and optimizing fluid behavior around complex geometries. Her growing body of peer-reviewed publications, conference presentations, and research achievements places her at the forefront of next-generation AI-driven engineering solutions.

Profile Verified:

ORCID | Google Scholar

Education:

Wang Jia’s academic journey reflects a track record of excellence across all levels. She completed her undergraduate studies in Hydraulic Engineering, graduating at the top of her class. She continued her academic progression with a Master’s degree in Hydraulic Engineering, where she maintained a high GPA and was recommended directly for Ph.D. studies. Currently, she is a Ph.D. candidate at Shanghai Jiao Tong University, one of China’s most prestigious institutions. She has received national-level scholarships at each stage of her academic life, consistently ranking in the top 1% of her cohorts.

Experience:

Wang Jia has built substantial experience in simulation-driven research, combining physics-based models with data-driven intelligence. She has contributed to national and interdisciplinary projects, including experimental hydraulic studies of spillway systems, AI-enhanced shipbuilding construction, and energy-efficient ship dynamics. She developed and implemented DRL algorithms (DDPG, PPO, SAC) to optimize synthetic jet actuation, and she has successfully coupled these models with CFD solvers like OpenFOAM and ANSYS Fluent. Her work extends to high-performance computing, where she has significantly improved parallel simulation efficiency—an essential factor for real-time engineering solutions.

Research Interests:

Her primary research interests include deep reinforcement learning for flow control, high-performance computing in fluid dynamics, and intelligent systems for energy-efficient engineering. She is especially focused on the control of turbulent and unsteady flows around bluff bodies, using AI algorithms to mimic adaptive, biologically inspired responses. Her work stands at the confluence of artificial intelligence, fluid mechanics, and computational engineering, aiming to contribute scalable, intelligent control systems for marine and aerospace applications.

Awards:

Throughout her academic career, Wang Jia has consistently earned prestigious scholarships and honors that recognize both academic excellence and research potential. She received the National Scholarship at the undergraduate, master’s, and doctoral levels—a rare feat. She was also awarded an “Outstanding Oral Presentation” at a national Ph.D. forum and was selected to present at high-profile academic conferences such as ASME’s International Offshore Engineering event. These honors affirm both the quality of her research and her ability to communicate it effectively within the scientific community.

Selected Publications 📚:

  • 🌀 Robust and Adaptive Deep Reinforcement Learning for Enhancing Flow Control around a Square Cylinder, Physics of Fluids, 2024 — Cited by: 11
  • 🧠 Deep Reinforcement Learning-Based Active Flow Control of an Elliptical Cylinder, Physics of Fluids, 2024 — Cited by: 8
  • 🚀 Optimal Parallelization Strategies for Active Flow Control in DRL-Based CFD, Physics of Fluids (Featured Article), 2024 — Cited by: 8
  • 💨 Effect of Synthetic Jets Actuator Parameters on DRL-Based Flow Control, Physics of Fluids (Special Topic), 2024 — Cited by: 6
  • 🌊 Fluctuating Characteristics of the Stilling Basin with a Negative Step, Water, 2021 — Cited by: 5
  • ⏱ Time-Frequency Characteristics of Fluctuating Pressure Using HHT, Mathematical Problems in Engineering, 2021 — Cited by: 1
  • ⚡ Strategies for Energy-Efficient Flow Control Leveraging DRL, Engineering Applications of Artificial Intelligence, 2025 — Published, citations pending

Conclusion:

Wang Jia represents a new generation of researchers equipped with the computational tools, engineering insight, and intellectual rigor to solve complex problems at the intersection of AI and fluid dynamics. Her rapid progression through academic ranks, influential publications, and contributions to intelligent flow control technology demonstrate not only technical skill but also forward-thinking vision. She is especially deserving of recognition through the Women Researcher Award for her excellence in STEM, commitment to innovation, and strong potential for future impact in science and engineering.

 

 

 

Dr. Xin Zhou | Engineering | Best Researcher Award

Published on by Academic Achievements

Dr. Xin Zhou | Engineering | Best Researcher Award

Dr. Xin Zhou | Engineering – Lecture at Shanghai University of Electric Power, China

Dr. Xin Zhou is a passionate and emerging researcher in the field of automation engineering, currently serving as a lecturer at Shanghai University of Electric Power. With a solid international educational background and hands-on research in robotics and intelligent optimization, he brings both academic insight and practical relevance to his work. Dr. Zhou has focused his career on robotic path planning, artificial intelligence in manufacturing, and intelligent control systems. His rapid contributions to both the theoretical foundations and industrial applications of intelligent robotics make him a promising candidate for the Best Researcher Award.

Education:

Dr. Zhou’s academic path spans several prestigious institutions across China, the UK, and Australia. He received his Ph.D. in Control Science and Engineering from East China University of Science and Technology in 2022, concentrating on intelligent algorithms and robotic optimization. He earned his Master’s degree in Digital Systems and Communication Engineering from the Australian National University (2016–2017), developing skills in communication and embedded systems. His undergraduate training was jointly conducted at the University of Liverpool and Xi’an Jiaotong-Liverpool University (2011–2015), where he majored in Electrical Engineering and Automation, providing a strong technical foundation for his current work.

Profile:

Orcid

Experience:

Since August 2022, Dr. Zhou has been working as a lecturer at the School of Automation Engineering, Shanghai University of Electric Power. In this position, he teaches undergraduate and graduate courses while engaging in active research. He has participated in two completed projects funded by the National Natural Science Foundation of China (NSFC), focusing on welding robotics and production scheduling under uncertainty. Dr. Zhou is also leading a current industry-funded research project on motion planning algorithms for robotic systems used in complex maintenance tasks. His combination of academic research and industrial cooperation demonstrates a comprehensive and practical research profile.

Research Interest:

Dr. Zhou’s primary research interests include robotic path planning, multi-objective optimization, intelligent algorithms, and smart manufacturing systems. He specializes in developing evolutionary algorithms and applying them to real-world robotic control challenges, especially in arc welding scenarios. His work aims to enhance the intelligence, flexibility, and adaptability of autonomous robotic systems, contributing to Industry 4.0 initiatives. He is particularly known for his work on decomposition-based optimization methods and real-time obstacle avoidance strategies.

Awards:

While Dr. Zhou is still early in his career, he has already made notable contributions to applied innovation, as evidenced by three Chinese patents in the area of robotic path planning. These patents include novel systems and methods for arc welding robot navigation and gantry-type robotic control, with the most recent filed in December 2023. His work in patented technologies reflects his practical approach to academic research and commitment to industry-aligned solutions.

Publications:

Dr. Zhou has authored and co-authored several influential journal papers. Below are seven key publications, with emojis, journal names, publication years, and citation notes:

📘 A decomposition-based multiobjective evolutionary algorithm with weight vector adaptation – Swarm and Evolutionary Computation, 2021. Cited for its novel adaptive mechanism in multi-objective optimization.

🤖 An approach for solving the three-objective arc welding robot path planning problem – Engineering Optimization, 2023. Frequently referenced in robotics and optimization studies.

🛠️ Online obstacle avoidance path planning and application for arc welding robot – Robotics and Computer-Integrated Manufacturing, 2022. Cited in real-time control literature.

🔍 A Collision-free path planning approach based on rule-guided lazy-PRM with repulsion field for gantry welding robots – Robotics and Autonomous Systems, 2024. Recent paper gaining citations in dynamic path planning.

📚 A survey of welding robot intelligent path optimization – Journal of Manufacturing Processes, 2021. Serves as a key reference for scholars in the welding robotics field.

🧠 Rule-based adaptive optimization strategies in robotic welding systems – Under review, targeted at IEEE Transactions on Industrial Informatics.

🔄 Multi-objective task sequencing and trajectory planning under dynamic constraints – Manuscript in progress for Journal of Intelligent Manufacturing.

Conclusion:

Dr. Xin Zhou is a standout young researcher whose work in robotic path planning and intelligent optimization has already made a significant impact in the field of automation. His research integrates high-level algorithm development with real-world engineering applications, making his contributions both academically valuable and practically useful. With a growing body of well-cited publications, involvement in both national and industry-sponsored projects, and active innovation through patents, Dr. Zhou is a strong candidate for the Best Researcher Award. His trajectory reflects both dedication and innovation, and he continues to show strong potential to lead transformative work in intelligent automation in the years ahead.

 

 

 

Mostafa Hosseinzadeh | Engineering | Best Researcher Award

Published on by Academic Achievements

Mr. Mostafa Hosseinzadeh | Engineering | Best Researcher Award

PhD student | University of Cape Town | South Africa

Mostafa Hosseinzadeh is currently a PhD candidate in Hydrometallurgy at the University of Cape Town (UCT), South Africa. His research focuses on the recovery of Platinum Group Metals (PGMs) from spent automotive catalyst leach solutions using ion exchange. Hosseinzadeh has a solid academic background, with an M.Sc. in Mineral Processing Engineering from the University of Shahid Bahonar in Kerman, Iran, and a B.Sc. in Mining Engineering from Sahand University of Technology, Tabriz, Iran. His career has been distinguished by a range of roles in both academia and industry, including research assistantships, management of R&D units in copper production, and significant contributions to the development of hydrometallurgical processes.

Profile

Scholar

Education
Hosseinzadeh’s academic journey includes a Ph.D. in Hydrometallurgy from the University of Cape Town, where he has been enrolled since 2021, specializing in the recovery of PGMs. Before this, he completed an M.Sc. in Mineral Processing Engineering at the University of Shahid Bahonar, Iran, focusing on the extraction of rhenium. He also holds a B.Sc. in Mining Engineering from Sahand University of Technology, where he worked on the environmental impact of tailing dams. His education reflects a strong foundation in engineering principles, with a focus on mineral processing, hydrometallurgy, and environmental considerations in mining operations.

Experience
Hosseinzadeh’s professional experience spans research and development, industrial applications, and academic roles. He has worked as a visiting researcher at the University of Liège, Belgium, and as a manager for the R&D unit at Zagros Mes Sazan Company in Iran, where he led efforts to optimize copper extraction methods and improve efficiency in copper cathode production. His work as a senior mineral processing engineer at Sormak Mining Company and as a process engineer at Sabanour Mining and Industrial Development Company provided him with extensive hands-on experience in mineral processing operations. Furthermore, he has been involved in the development and optimization of solvent extraction and electrowinning processes for various metals, contributing significantly to the advancement of industrial hydrometallurgy.

Research Interests
Hosseinzadeh’s research interests include the extraction of valuable metals through hydrometallurgical processes such as leaching, solvent extraction, ion exchange, and electrowinning. He is particularly focused on the separation and purification of metal ions from both primary and secondary leach solutions, including spent automotive catalysts and mining waste. His research on separators for hydrometallurgical operations and process optimization contributes to both the theoretical and practical aspects of hydrometallurgy. Through his work, Hosseinzadeh aims to enhance the efficiency and sustainability of mineral processing, particularly in the extraction of precious and base metals.

Awards
Hosseinzadeh has earned recognition for his academic and professional achievements. Notably, he received the second prize at the 2024 International Conference on New Energy and Hydrometallurgy in China for his outstanding paper. He was also awarded the prestigious International and Refugee Student’s Scholarship at the University of Cape Town in 2023. His doctoral studies were supported by the Hydrometallurgy Research Group Scholarship, emphasizing his contributions to the field. Additionally, his academic excellence earned him a top rank in Iran’s national university entrance exams, highlighting his longstanding commitment to education and research.

Publications
Hosseinzadeh has published several impactful papers, with a focus on the recovery of metals using hydrometallurgical methods. Some of his notable publications include:

  1. Hosseinzadeh, M., & Petersen, J. (2025). “Platinum(IV), Palladium(II), and Rhodium(III) Recovery from Mixed Acidic Chloride Solutions Using Chelating Ion Exchange Resin Puromet MTS9600,” Solvent Extraction and Ion Exchange.
  2. Hosseinzadeh, M., & Petersen, J. (2024). “Recovery of Pt, Pd, and Rh from spent automotive catalysts through combined chloride leaching and ion exchange: A review,” Hydrometallurgy.
  3. Hosseinzadeh, M., & Petersen, J. (2024). “Efficient rhenium recovery from molybdenite roasting dust leach solution using tributyl phosphate solvent extraction,” Hydrometallurgy for the Future Conference, South African Institute of Mining and Metallurgy.
  4. Hosseinzadeh, M., Azizi, A., & Hassanzadeh, A. (2022). “Solvent extraction and kinetic studies of copper from a heap leach liquor using CuPRO MEX-3302,” Separation Science and Technology, 57(4), 571-588.
  5. Hosseinzadeh, M., et al. (2021). “A kinetic investigation on leaching of copper from a low-grade copper oxide deposit in sulfuric acid solution,” Journal of Sustainable Metallurgy, 7, 1154-1168.
    His works are widely cited in the field of hydrometallurgy, contributing to both theoretical knowledge and practical applications in metal recovery.

Conclusion
Mostafa Hosseinzadeh is an emerging leader in the field of hydrometallurgy, with a strong academic background and professional experience that bridges both research and industrial applications. His work, which focuses on the recovery of precious metals from industrial waste and spent catalysts, aligns with global efforts toward more sustainable and efficient mineral processing. With a career marked by academic excellence, significant research contributions, and recognition from prestigious institutions, Hosseinzadeh continues to make strides in hydrometallurgical processes, particularly in the extraction of precious and base metals. His interdisciplinary approach and commitment to sustainability position him as a valuable contributor to the future of mining and metallurgy.

Shivam Aggarwal | Engineering | Best Researcher Award

Published on by Academic Achievements

Dr. Shivam Aggarwal | Engineering | Best Researcher Award

Research Scholar | J. C. Bose University of Science and Technology, YMCA | India

Shivam Aggarwal is a dedicated Mechanical Engineer with a robust academic background and industry experience. He holds a Master’s degree in Mechanical Engineering and is in the process of completing his Ph.D. His expertise lies in mechanical design, statics, dynamics, thermodynamics, and materials science. Throughout his career, he has excelled in both practical engineering and academia, combining theoretical knowledge with hands-on experience in designing and testing mechanical systems. Currently, he serves as an Assistant Professor at the Echelon Institute of Technology, where he imparts knowledge to future engineers. Known for his commitment to academic excellence, research, and student mentorship, Shivam seeks to contribute further to the academic community, particularly in areas like finite element analysis and sustainable engineering.

Profile

Scholar

Education
Shivam Aggarwal’s educational journey showcases his deep commitment to the field of mechanical engineering. He pursued his Ph.D. in Mechanical Engineering at J.C. Bose University of Science & Technology, Faridabad, India, and is currently in the final stages of his thesis submission in 2024. Prior to that, he earned his Master’s in Mechanical Engineering from the same institution in 2021, specializing in advanced mechanical concepts. His academic foundation was further solidified by his Bachelor’s degree in Mechanical Engineering from Satyug Darshan Institute of Engineering & Technology, Faridabad, in 2019. Additionally, Shivam completed a Diploma in Mechanical Engineering from Government Polytechnic Manesar, Gurugram, in 2016, which provided him with a strong practical base. His education underscores a continuous pursuit of knowledge and excellence in mechanical engineering.

Experience
Shivam Aggarwal’s professional journey spans both academia and industry. He currently serves as an Assistant Professor in the Mechanical Engineering Department at Echelon Institute of Technology, where he has been shaping the minds of future engineers since June 2024. His role includes designing curricula, delivering lectures on subjects such as thermodynamics and fluid mechanics, conducting research, and mentoring students. Before venturing into academia, Shivam gained valuable industry experience. He worked as a Graduate Engineer Trainee at Frick India Pvt Ltd (January–May 2019), where he honed his skills in mechanical design and system development. He also worked as a Trainee at Dauji Metal Pvt Ltd and Forgewell India Pvt Ltd, further strengthening his practical knowledge in mechanical engineering processes, testing, and evaluation.

Research Interest
Shivam’s research interests lie in several core areas of mechanical engineering. He is particularly passionate about finite element analysis (FEA), sustainable engineering, and the application of advanced materials in automotive and mechanical systems. His work often focuses on optimizing mechanical components for performance and sustainability. He has explored the application of composite materials in electric rickshaw leaf springs, automotive leaf spring design, and energy-efficient systems. Additionally, his interest extends to robotics, automation, and the integration of IoT for smart systems in agriculture. These research pursuits reflect his dedication to advancing mechanical engineering practices through innovation and sustainability.

Award
Shivam Aggarwal’s dedication to excellence has been recognized through several prestigious awards and nominations. Notably, he won the Best Innovation Award in 2022 at YMCA University for his work in mechanical engineering. He has also received accolades for his performance in academic and professional assessments. Shivam passed the GATE exam in Mechanical Engineering, a significant achievement that highlights his theoretical and practical expertise. His contributions to mechanical engineering have earned him eligibility for the University Research Scholarship at YMCA University. Additionally, Shivam has received multiple certifications, including ISRO-IIRS Certification, and has excelled in national-level exams like the National Olympiad in Mechanical Engineering by ASSOCHAM and TCS National Qualifier Test.

Publication
Shivam Aggarwal has contributed to several high-quality publications in mechanical engineering. His research is widely acknowledged within the academic community. Some of his notable publications include:

  1. Sandwich Composite Material Analysis for its Application in Electric Rickshaw Leaf Spring, Taylor & Francis Journal of Mechanics Based Design and Structures, SCIE (2024).
  2. Analysis of Glass Fiber-reinforced Composite Leaf Springs in a Light Commercial Vehicle, Journal of Scientific Report, Nature Publishing Group, UK, SCIE (2024).
  3. Design and Analysis of Load Stiffness Tester for Dual Applications in Measurement of Spring Stiffness and Walnut Shell Stiffness, Lecture Notes in Mechanical Engineering (Springer Nature), Scopus (2024).
  4. Investigation regarding the Replacement of Composite Material Leaf Springs with Spring Steel Leaf Springs in Automotive Vehicles: A Review, IOP Conference Series Material Science & Engineering, indexed in WoS (2024).
  5. Optimization of Various Percentages of Fibers in Fiber Reinforced Composite Material Leaf Springs in Vehicles, IOP Conference Series Material Science & Engineering, indexed in WoS (2024).
  6. IoT-Based Treadle Pump and Smart Flow Measurement Device for Irrigation, Proceedings of the 10th International Symposium on Fusion of Science and Technology (2024).

These works highlight Shivam’s expertise in materials science, mechanical design, and sustainable engineering, with several being widely cited in related research fields.

Conclusion
Shivam Aggarwal is a highly accomplished Mechanical Engineer and academic, whose work spans both practical engineering and cutting-edge research. His experience as an educator, coupled with his academic achievements and industry exposure, has equipped him with a unique perspective on engineering solutions. Through his research, publications, and patents, Shivam continues to contribute meaningfully to the field of mechanical engineering. His strong foundation in design, materials science, and sustainable engineering, combined with his passion for teaching and innovation, makes him a valuable asset to the academic and engineering communities. As he advances his career, Shivam remains committed to inspiring and mentoring the next generation of engineers, fostering their academic and professional growth.

Adesola Bankole | Engineering Processes | Inspirational Scientist Visionary Award

Published on by Academic Achievements

Mr. Adesola Bankole | Engineering Processes | Inspirational Scientist Visionary Award

Principal Engineer/Instructor at Nigerian Television Authority, Nigeria

Engr. Bankole Adesola Temitope is a distinguished engineer and academic specializing in Electrical and Electronic Engineering with a focus on control systems and broadcasting technologies. Currently serving as a Principal Engineer at NTA Television College, his career spans a blend of industrial and academic experiences, showcasing his expertise in both practical engineering applications and educational instruction. With a solid background in engineering and a commitment to advancing technological solutions, he has significantly contributed to his field through his work in television engineering and control system design.

Profile

ORCID

Education

Engr. Bankole holds an M.Sc. in Electrical and Electronic Engineering from the University of Lagos and a B.Eng. in Electrical & Electronics Engineering from The Federal University of Technology, Akure. His academic journey reflects a strong foundation in engineering principles, underpinned by high academic performance, including a notable CGPA of 4.30/5.00 in his master’s program. This rigorous academic training has equipped him with advanced knowledge and skills that have supported his career and research endeavors.

Experience

Engr. Bankole’s professional experience encompasses both industrial and academic roles. He currently holds the position of Principal Engineer at NTA Television College, where he contributes to both engineering practice and education. His prior roles include Senior Engineer and Engineer at the Nigerian Television Authority, where he focused on broadcasting technology and engineering systems. Additionally, his early career involved work in various sectors, including cold storage systems and refrigeration, which broadened his practical engineering expertise and provided a diverse perspective on technology applications.

Research Interests

Engr. Bankole’s research interests are centered on control systems, signal processing, and energy efficiency. His work includes the development and optimization of control algorithms for robotic systems, as well as advancements in digital television broadcasting. His research aims to enhance the performance and reliability of engineering systems through innovative solutions, reflecting his commitment to addressing contemporary challenges in his field. He is particularly interested in the application of model predictive control and hybrid control systems to improve technological outcomes.

Awards

Throughout his career, Engr. Bankole has received several awards recognizing his academic and professional achievements. Notably, he was honored with the Federal Government Post-graduate Scholarship Award for his outstanding performance in his master’s program and the Oyo State Scholarship Award during his undergraduate studies. These accolades highlight his dedication to excellence and his contributions to the field of engineering.

Publications

Engr. Bankole has authored and co-authored several publications in reputable journals and conference proceedings, contributing to the advancement of knowledge in his field. His publications include:

  1. Bankole, A.T., & Igbonoba, E.E.C. (2023). “A Novel Hybrid Proportional Derivative/H-Infinity Controller Design for Improved Trajectory Tracking of a Two-Link Robot Arm.” Journal of Shanghai Jiao Tong University (Science), 28(1), 1-10. Link
  2. Igbonoba, E.E.C., & Bankole, A.T. (2023). “Investigative Assessment of the Impact of Perturbation on the Digital Terrestrial Television Broadcasting Signal.” KIU Journal of Science, Engineering and Technology (KJSET), 2(1), 75-83. Link
  3. Igbonoba, E.E.C., & Bankole, A.T. (2023). “Signal Propagation Curve for Digital Television Broadcast Network in Nigeria.” Indian Journal of Engineering, 20, e10ije1010. Link

Conclusion:

Engr. Bankole Adesola Temitope presents a strong candidacy for the Research for Inspirational Scientist Visionary Award. His solid educational background, extensive professional experience, active research contributions, and professional development make him a noteworthy candidate. To further bolster his suitability, focusing on increasing the impact of his research through additional high-impact publications, securing research grants, and expanding his roles in academic and community engagements would be beneficial. Overall, his achievements and dedication to his field align well with the criteria for the award, making him a deserving candidate.

 

Zhi Huang | Structural Engineering | Best Paper Award

Published on by Academic Achievements

Assoc Prof. Dr. Zhi Huang | Structural Engineering | Best Paper Award

Dean | Hunan University of Science and Technology | China

 

Research Paper Review: Best Paper Award Evaluation for Associate Professor Zhi Huang, Ph.D., P.E.

Strengths for the Award:

  1. Extensive Research Contributions: Associate Professor Zhi Huang has demonstrated an impressive breadth of research in the field of structural engineering, particularly in seismic performance and composite structures. His publication record includes over 10 high-impact journal papers, such as those in Steel and Composite Structures and Structures. His research addresses critical issues in earthquake-resistant design and the behavior of high-rise and mega structures under severe conditions.
  2. Innovative Methodologies: Huang’s work employs advanced methodologies, including the use of GA-BP neural networks for hysteresis performance studies and FEM analysis for seismic performance. This indicates a strong commitment to integrating cutting-edge technology into his research, enhancing the practical relevance and accuracy of his findings.
  3. Significant Research Funding: The substantial grants from prestigious sources like the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation underscore the high value and impact of Huang’s research. His role as PI in several high-profile projects demonstrates his leadership and ability to secure funding for significant research initiatives.
  4. Professional Affiliations and Honors: Huang’s roles as an editorial board member for notable journals and his receipt of awards like the “Young Charming Teacher” and “High-level talent development support plan” reflect his recognized contributions to the field and his influence within the academic community.

Areas for Improvement:

  1. Publication Diversity: While Huang’s publications are robust in structural engineering and seismic performance, expanding his research into interdisciplinary areas or emerging topics within civil engineering could broaden his impact and appeal to a wider audience.
  2. Collaborative Opportunities: Increased collaboration with international researchers or industry practitioners could enhance the applicability of his research findings and lead to innovative solutions that address global challenges in structural engineering.
  3. Engagement in Emerging Technologies: Further exploration of emerging technologies such as AI in structural health monitoring or smart materials could position Huang’s research at the forefront of future advancements in civil engineering.
  4. Broader Dissemination: Although his research is published in high-impact journals, increasing efforts in publicizing findings through conferences, workshops, and interdisciplinary platforms could enhance the visibility and practical application of his work.

Conclusion:

Associate Professor Zhi Huang’s research in structural engineering, particularly in seismic performance and composite structures, is both pioneering and impactful. His innovative methodologies, substantial research funding, and professional accolades support his candidacy for the Best Paper Award. By addressing the areas for improvement, such as broadening his research scope and enhancing collaborative and dissemination efforts, Huang could further solidify his position as a leading researcher in his field. Overall, his contributions represent a significant advancement in earthquake-resistant design and structural performance, making him a strong contender for the award.

Biography

Associate Professor Zhi Huang, Ph.D., P.E., is a distinguished academic in civil engineering with expertise in structural engineering and seismic design. Currently serving at Hunan University of Science and Technology, Dr. Huang has a strong background in earthquake-resistant designs and composite structures. His innovative research and significant contributions to the field have earned him recognition as a leading expert in his domain.

Profile

SCOPUS

Education 🎓

  • Ph.D. in Civil Engineering (Structural Engineering)
    Central South University, China (Sept. 2011 – Dec. 2017)
    Advisor: Jiang Lizhong
  • Ph.D. Joint Training Program in Civil Engineering (Structural Engineering)
    The Pennsylvania State University, USA (Mar. 2015 – Apr. 2016)
    Advisor: Y. Frank Chen
  • M.S. in Civil Engineering (Structural Engineering)
    Changsha University of Science & Technology, China (Sept. 2008 – June 2011)
    Advisor: Lei Guangyu
  • B.E. in Civil Engineering
    Jiangsu University of Science and Technology, China (Sept. 2004 – June 2008)

Experience 🏆

Dr. Huang has served as an Associate Professor and Lecturer at the School of Civil Engineering, Hunan University of Science and Technology, since 2017. His roles involve advanced research in seismic performance and the development of innovative structural solutions. He has also participated in significant construction and reconstruction projects, contributing his expertise to various engineering challenges.

Research Interests 🔬

Dr. Huang’s research focuses on:

  • Seismic Design: Earthquake-resistant designs for high-rise and super high-rise buildings and composite structures.
  • Integrated Design and Construction: Developing integrated approaches for construction and structural performance.
  • Software Development: Creating tools and software for enhanced structural analysis and design.

Awards 🏅

  • High-level Talent Development Support Plan: Recognized as a young innovative talent at Hunan University of Science and Technology.
  • Young Charming Teacher: Awarded by Hunan University of Science and Technology in 2018 for excellence in teaching and research.

Publications 📚

  1. Study on hysteresis performance of four-limb CFST latticed column-box girder joints based on GA-BP neural network
    Structures, 2024, 67: 107007
  2. Experimental study on the seismic performance of concrete filled steel tubular laced columns
    Steel and Composite Structures, 2018, 26(6), pp. 719-731
  3. Studies on Restoring Force Model of Concrete Filled Steel Tubular Laced Column to Composite Box-Beam Connection
    Steel and Composite Structures, 2016, 22(6), pp. 1217-1238
  4. Mechanical behaviour research of long span prestressed steel–concrete composite beam
    Materials Research Innovations, 2014, 18(S2), pp. 28-32
  5. Seismic damage model and tests of CFST latticed columns under repeated load
    Journal of Vibration and Shock, 2022, 41(19), pp. 163-170
  6. Studies on seismic damage model of concrete-filled steel tube laced columns
    Chinese Journal of Applied Mechanics, 2022, 39(4), pp. 717-725
  7. Aseismic performance test and FEM analysis of concrete-filled steel tube lattice columns
    Journal of Natural Disasters, 2022, in press
  8. Tests for aseismic behavior of connection joints composed of concrete-filled steel tubular lattice columns and composite box girders
    Journal of Vibration and Shock, 2014, 33(18), pp. 156-163
  9. Correlation Research between Landslide Thrust and Invading Width of Rock for Rock-Socketed Anti-sliding Pile in Steep Slope
    Electronic Journal Geotechnical Engineering, 2013, 18(Z), pp. 5957-5966
  10. Mechanical Behavior Research for the Interior Joint of New Light-weight Portal Rigid Frame (Ⅱ)
    Applied Mechanics and Materials, 2013, Vols. 351-352, pp. 454-459

 

Tanaya Mandal | Engineering | Best Researcher Awards

Published on by Academic Achievements

Ms. Tanaya Mandal | Engineering | Best Researcher Awards

PhD Candidate | Texas A&M University | United States

Short Bio 🌟

Tanaya Mandal is a dynamic materials engineer and Ph.D. candidate at Texas A&M University, with over four years of experience in researching the impact of material temperature on product performance. She has worked with prestigious institutions such as GE and TRI, and she actively chairs the Materials for Extreme Environments Technical Committee at SAMPE North America.

Profile

SCOPUS

Education 🎓

Tanaya Mandal is currently pursuing a Ph.D. in Materials Science and Engineering at Texas A&M University, maintaining a perfect GPA of 4.00. She previously earned her M.E. in the same field with a Corrosion Certificate from Texas A&M University in December 2020. Before that, she received her M.HSc from Trinity School of Medicine in May 2019, and her B.S. in Biochemistry and Molecular Biology from Houston Baptist University in May 2013.

Experience 🛠️

Texas Research Institute, Austin, TX
Application Engineering/Research & Development Intern (May 2023 – August 2023)
Tanaya collaborated with customers to develop prototypes for aerospace applications and engaged in the development of wear protection coatings. She worked closely with the sales team and analyzed high-temperature adhesion applications.

Texas A&M University, College Station, TX
PhD Research Student/Graduate Teaching Assistant (January 2021 – Present)
She led a project for the Air Force Office of Scientific Research, creating and analyzing self-healing vitrimer composites for aerospace. She also taught and assessed courses in materials science and engineering.

General Electric Global Research, Niskayuna, NY
Edison Technical Research Intern (June 2020 – August 2020)
Tanaya designed multilayer nitride coatings, evaluated hardness testing of various alloys, and participated in electrochemistry testing for accident tolerant fuel projects.

Research Interest 🔬

Tanaya’s research interests include the development and characterization of high-performance materials for extreme environments, particularly focusing on self-healing composites, high-temperature adhesion applications, and advanced nuclear reactors.

Awards 🏆

  • Best Oral Presentation in Advanced Materials and Nanotechnology at the Chemical Engineering Graduate Student Association (ChEGSA) Research Symposium (2024)
  • Moderator for Non-Destructive Evaluation & Materials Testing Technical Presentations at CAMX (2023)
  • SAMPE Student Chapter Grant Award (2021-2023)
  • Semifinalist for SAMPE University Research Symposium (URS) Program Competition (2021)
  • Women in 3D Printing (Wi3DP) Next Gen Mentorship Program (2021-present)
  • Judge for Senior Division of Materials Science at the Texas Science & Engineering Fair (2021)
  • SAMPE University Leadership Experience Award (2020)
  • Judge for Undergraduate Research Symposium at TAMU (2019)

Publications 📚

  • Mandal, T., Ozten, U., Vaught, L., Meyer, J.L., Amiri, A., Polycarpou, A., Naraghi, M. (2024). Processing and Mechanics of Aromatic Vitrimeric Composites at Elevated Temperatures and Healing Performance. J. Compos. Sci., 8, 252.
  • Mandal, T., Rodriguez-Melendez, D., Palen, B., Long, C.T., Chiang, H., Sarikaya, S., Naraghi, M., Grunlan, J.C. (2023). Heat Shielding Nanobrick Wall for Carbon Fiber Reinforced Polymer Composites. American Chemist Society Applied Polymer Materials, 5(5), 3270-3277.
  • Hoffman, A. K., Umretiya, R. V., Crawford, C., Spinelli, I., Huang, S., Buresh, S., Perlee, C., Mandal, T., Abouelella, H., Rebak, R. B. (2023). The relationship between grain size distribution and ductile to brittle transition temperature in FeCrAl alloys. Materials Letters, 331, 133427.