Yuanyuan Xu | Engineering | Best Researcher Award

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.

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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

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.

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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.

 

 

 

Mr. Zeshan Ali | Engineering | Young Researcher Award

Mr. Zeshan Ali | Engineering | Young Researcher Award

Mr. Zeshan Ali | Engineering – Senior Researcher at International Water Management Institute, Pakistan


Zeshan Ali is a dynamic and skilled hydrologist and research officer with a robust academic and professional foundation in Water Resource Engineering and Agricultural Engineering. With diverse expertise ranging from hydrological modeling to remote sensing, his work addresses critical issues such as climate resilience, sustainable agriculture, and data-driven water management in South Asia. Currently serving as a Senior Research Officer at the International Water Management Institute (IWMI) in Pakistan, Zeshan is making impactful contributions to global initiatives like NEXUS Gains and Fragility, Conflict, and Migration by integrating scientific research with real-world water governance solutions. His blend of field-based experience, technical proficiency, and scholarly output has positioned him as an emerging expert in the fields of climate modeling and hydrology.

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Education:

Zeshan earned his Master of Science in Water Resources Engineering from the University of Engineering and Technology, Lahore, in 2022, where he specialized in hydrological modeling under climate change scenarios. He previously obtained his Bachelor of Science in Agricultural Engineering from PMAS Arid Agriculture University, Rawalpindi, in 2018. His academic background combines theoretical depth with practical understanding, particularly in the applications of GIS, remote sensing, and statistical hydrology.

Experience:

Professionally, Zeshan Ali has steadily advanced through roles that span research, engineering design, and operational management. At IWMI, he has led efforts in installing and monitoring advanced field instruments such as Eddy Covariance Flux Towers and CTD divers, managing groundwater and carbon flux data for regional planning. He has also contributed to stakeholder training, climate impact assessments, and data analysis under projects funded by CGIAR and the World Bank. Prior to this, he worked as Assistant Hydraulic Design Engineer at MM Pakistan, focusing on hydropower and water conveyance infrastructure for the Kurram Tangi Dam. Earlier roles included research and field engineering with a focus on high-efficiency irrigation systems under the Punjab Irrigated-Agriculture Productivity Improvement Project (PIPIP), where he implemented sustainable water-saving techniques and solar energy integration for rural agricultural settings.

Research Interest:

Zeshan’s research interests lie at the intersection of water resources, climate science, and technology. His core expertise includes hydrological and hydraulic modeling, climate projections (CMIP6), flood prediction, sustainable agriculture, GIS, and AI-based data analysis. He is especially passionate about integrating climate modeling with watershed and river basin hydrology to support climate-resilient infrastructure and policies. His growing interest in machine learning and remote sensing highlights a modern, adaptive approach to traditional water resource challenges.

Awards and Recognition:

Zeshan has consistently been selected for specialized workshops, high-level consultative forums, and technical training programs across Pakistan and internationally. These include the IWMI Science Strategy Forum in Colombo, Sri Lanka, and multiple CGIAR-led workshops on groundwater management and integrated water resource strategies. His ability to organize, lead, and train at multi-stakeholder events reflects recognition of his scientific communication skills and technical competence.

Selected Publications 📚:

  1. 🌊 Z. Ali et al. (2023). “Hydrological Response Under CMIP6 Climate Projection in Astore River Basin, Pakistan,” Journal of Mountain Science, Springer. [Cited by: 9]
  2. 🌱 MU Masood, Z. Ali et al. (2023). “Appraisal of Landcover and Climate Change Impact on Water Resources,” Journal of Water, MDPI. [Cited by: 5]
  3. 🔮 Z. Ali et al. (2022). “Future Streamflow Prediction Using UBC Watershed Model,” 2nd Int. Conf. on Hydrology and Water Resources. [Cited by: 2]
  4. ❄️ I.U. Khan, Z. Ali et al. (2023). “Evaluation and Mapping of Snow Characteristics in Astore Basin,” Atmosphere, MDPI. [Cited by: 4]
  5. 🌨️ I. Khan, Z. Ali et al. (2022). “Evaluation of Snow Characteristics in Astore Basin,” Conf. on Sustainable Water Resources Management.
  6. 🏞️ M. Sharjeel, Z. Ali et al. (2022). “Impacts of Climate and Land Use Changes at Rawal Dam,” SWRM 2022.
  7. 🔍 M. Rashid, Z. Ali et al. (In Prep). “Robustness of Hydrological Models & ML Techniques for Extreme Events.”

Conclusion:

Zeshan Ali’s career is a testament to applied hydrological science’s critical role in climate adaptation and sustainable resource management. His contributions span the design of innovative monitoring systems, predictive hydrological models, and field training programs that empower communities and policymakers alike. Through a blend of research, engineering, and community engagement, Zeshan has emerged as a leader in water-related climate resilience. As he continues to advance both academic and field-based frontiers, his work holds promise for shaping sustainable futures across vulnerable ecosystems and transboundary water systems. His dedication, expertise, and passion make him an exemplary nominee for any recognition in the environmental and water sciences domain.

 

 

Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering | Best Researcher Award

Assoc. Prof. Dr. Zhenyu Gao | Engineering – Associate Professor at Northeastern University at Qinhuangdao, China

Zhenyu Gao is a distinguished Associate Professor at the School of Control Engineering, Northeastern University at Qinhuangdao. His academic journey is marked by groundbreaking research in control science and engineering, particularly in unmanned systems, autonomous intelligence, and intelligent transportation systems. Gao’s work is recognized globally for its innovative approaches to vehicular platoon control and multi-agent systems, contributing significantly to both theoretical advancements and practical applications in the field. His dedication to academic excellence is reflected in numerous prestigious awards, influential publications, and leadership roles in scientific communities.

Profile:

Orcid

Education:

Zhenyu Gao earned his Ph.D. in Control Science and Engineering from Dalian Maritime University, China, where he developed a strong foundation in advanced control theories. Prior to his doctoral studies, he completed his Bachelor’s degree in Automation at Shandong University of Technology. His educational background reflects a consistent trajectory of academic rigor, equipping him with the analytical skills and technical expertise necessary to excel in complex research areas.

Experience:

Currently serving as an Associate Professor, Gao has played a pivotal role in advancing research in control engineering. His professional journey includes leading several high-impact projects funded by national and provincial research foundations. Gao has also contributed as an Associate Editor for reputable journals and serves as a reviewer for top-tier publications in intelligent transportation systems and vehicular technology. His role as a mentor has guided numerous graduate students, fostering the next generation of researchers in his field.

Research Interests:

Gao’s research interests span unmanned systems, autonomous intelligence, collaborative control, multi-agent systems, and intelligent transportation systems. His work focuses on developing robust control strategies for vehicular platoons, addressing challenges related to actuator nonlinearities, sensor attacks, and real-time system performance. Gao’s innovative approaches have significantly advanced the understanding of dynamic systems and their applications in modern transportation and automation technologies.

Awards 🏆:

  • Wiley Top Downloaded Article Award (2023): Recognizing his highly cited publication in intelligent transportation systems.

  • Excellent Master Thesis Advisor of Northeastern University (2023): Honoring his mentorship and academic guidance.

  • Excellent Master Thesis Advisor of Liaoning Province (2024): Acknowledging his contributions to graduate education and research excellence.

Selected Publications 📚:

  1. Gao, Z., Li, X., Wei, Z., Liu, W., Guo, G., & Wen, S. (2025). Observer-based secure predefined-time control of vehicular platoon systems under attacks in sensors and actuators – IEEE Transactions on Intelligent Transportation Systems 📈 (Cited by 150+)
  2. Gao, Z., Liu, W., Wei, Z., & Guo, G. (2025). Adaptive finite-time prescribed performance control of vehicular platoons with multilevel threshold and asymptotic convergence – IEEE Transactions on Intelligent Transportation Systems 📊 (Cited by 120+)
  3. Gao, Z., Li, X., Wei, Z., Guo, G., Wen, S., Zhao, Y., & Mumtaz, S. (2025). Fixed-time secure control for vehicular platoons under deception attacks on both sensor and actuator via adaptive fixed-time disturbance observer – IEEE Internet of Things Journal 🚗 (Cited by 95+)
  4. Gao, Z., Li, X., Wei, Z., & Guo, G. (2024). Adaptive fuzzy finite-time asymptotic tracking control of vehicular platoons with nonsmooth asymmetric input nonlinearities – IEEE Transactions on Intelligent Transportation Systems 🚀 (Cited by 85+)
  5. Gao, Z., Wei, Z., Liu, W., & Guo, G. (2025). Adaptive finite-time prescribed performance control with small overshoot for uncertain 2-D plane vehicular platoons – IEEE Transactions on Vehicular Technology 🛰️ (Cited by 80+)
  6. Gao, Z., Sun, Z., & Guo, G. (2024). Adaptive predefined-time tracking control for vehicular platoons with finite-time global prescribed performance independent of initial conditions – IEEE Transactions on Vehicular Technology 🚦 (Cited by 75+)
  7. Gao, Z., Zhang, Y., & Guo, G. (2023). Adaptive fixed-time sliding mode control of vehicular platoons with asymmetric actuator saturation – IEEE Transactions on Vehicular Technology 🛣️ (Cited by 60+)

Conclusion:

Zhenyu Gao’s distinguished career reflects an exceptional blend of academic rigor, innovative research, and impactful mentorship. His contributions to control science and engineering, particularly in autonomous systems and intelligent transportation, have set new benchmarks in the field. Gao’s extensive publication record, combined with his leadership in research projects and academic communities, underscores his suitability for the “Best Researcher Award.” His work continues to influence and inspire advancements in control engineering, making him a worthy candidate for this prestigious recognition.

Zhiwen Lin | Engineering | Best Researcher Award

Dr. Zhiwen Lin | Engineering | Best Researcher Award 

Ph.D. Candidate in Mechanical Engineering at School of Mechanical and Aerospace Engineering, Jilin University, China

Zhiwen Lin, a dedicated Ph.D. candidate at the School of Mechanical and Aerospace Engineering, Jilin University, is a leading researcher in digital twin manufacturing and edge-fog computing. With a background in mechanical engineering and innovation in intelligent manufacturing, Zhiwen has spearheaded groundbreaking research and industrial solutions in the field.

Profile 

Scopus

Education🎓

Zhiwen Lin completed a Master of Engineering in Mechanical Engineering at Beijing University of Technology, building a strong foundation for his doctoral studies at Jilin University. His academic journey reflects his commitment to advancing intelligent manufacturing systems.

Experience💼

Zhiwen developed DTWorks, an innovative digital twin workshop system, implemented in prominent enterprises such as FAW Group. His expertise spans cloud-fog-edge collaborative computing, adaptive production systems, and intelligent workshop management. He has contributed to high-profile research projects, including the National Key R&D Program and the National Natural Science Foundation projects.

Research Interests🔬

Zhiwen focuses on digital twin manufacturing, edge-fog computing, intelligent task scheduling, and manufacturing process optimization. His research emphasizes enhancing quality control, resource allocation, and secure computational frameworks in industrial systems.

Awards🏆

Zhiwen’s innovative research and industrial contributions have earned recognition through patents and publications. His patent “Method for Intelligent Perception Implementation of Full Elements in Digital Twin Machining Workshop” (CN202310033162.4) is a testament to his groundbreaking work in intelligent manufacturing.

Publications📚

Zhiwen has published influential articles in prestigious journals:

“Edge-fog-cloud hybrid collaborative computing solution with an improved parallel evolutionary strategy for enhancing tasks offloading efficiency in intelligent manufacturing workshops”

  • Year: 2024
  • Citations: 0

“Digital thread-driven cloud-fog-edge collaborative disturbance mitigation mechanism for adaptive production in digital twin discrete manufacturing workshop”

  • Year: 2024
  • Citations: 0

“Scene Equipment Saving and Loading Method for Digital Twin Workshop”

  • Year: 2023
  • Citations: 1

“Numerical and experimental analysis of ball screw accuracy reliability with time delay expansion under non-constant operating conditions”

  • Year: 2023
  • Citations: 0

Conclusion✨

Zhiwen Lin is an exemplary researcher whose work in digital twin systems, intelligent manufacturing, and edge-fog computing has significantly advanced the field of smart manufacturing. His academic achievements, patents, impactful publications, and practical implementations highlight his innovative approach and industrial relevance, making him a compelling candidate for the Research for Best Researcher Award.

Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

Mr.Muhammad Noman Shahid | Mechanical Engineering | Best Researcher Award

MS Scholar Capital University of Science and Technology Pakistan

Muhammad Noman Shahid is a dedicated Mechanical Engineer currently pursuing an MS in Mechanical Engineering at CUST, Islamabad. With a CGPA of 4.00/4.00 and a solid foundation in mechanical engineering principles, Muhammad’s expertise spans FEA, CFD, topological optimization, and CAD modeling. His academic and professional journey reflects his commitment to innovation and excellence in the engineering field.

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ORCiD

Education

🎓 Muhammad Noman Shahid is completing his MS in Mechanical Engineering at Capital University of Science and Technology (CUST), Islamabad, with an expected graduation date of July 2025 and a perfect CGPA of 4.00/4.00. He also holds a BS in Mechanical Engineering from the same institution, achieved from 2019 to 2023, where he worked on the “Design and Development of Continuous Passive Motion (CPM) Machine for Post Knee Surgery Rehabilitation” as his final year design project.

Experience

💼 Muhammad’s professional experience includes an internship at SABRO Air Conditioning Pakistan in Islamabad, where he gained over 200 hours of hands-on experience in various HVAC manufacturing processes. His contributions included optimizing production time, ensuring product integrity, and enhancing overall HVAC system efficiency. Muhammad has also demonstrated leadership in numerous extracurricular roles, such as Focal Person at Pakistan Nuclear Society and President Media at Al-Muhandis Society, CUST.

Research Interests

🔬 Muhammad’s research interests lie in mechanical engineering, focusing on fluid dynamics, computational modeling, topological optimization, and biomechanics. He is particularly passionate about developing innovative solutions in tissue engineering and energy storage systems.

Awards and Funding

🏅 Muhammad has received several accolades for his academic excellence and innovative projects. In 2024, he achieved the Chancellor’s Honor Roll and secured the 3rd position in Mechanical Engineering (Entrepreneurship) at the 2nd Federal Engineering Capstone Expo. He also received IGNITE funding under the National Technology Fund’s Grossroot ICT Research Initiative for his final year design project.

Publications

📚 Muhammad has published significant research work, including:

  1. “Computational Investigation of the Fluidic Properties of Triply Periodic Minimal Surface (TPMS) Structures in Tissue Engineering,” Designs, vol. 8, no. 4, 2024. Link
    • Cited by: Articles in tissue engineering and fluid dynamics journals.
  2. “A Biomechanical Approach for Computational Assessment of Heavy Payload Robots in Human-Robot Accident Scenarios for Industry 4.0,” Nanotechnology Reviews, 2023. [In Review]

 

Chika Judith Abolle-Okoyeagu | Mechanical Engineering | Best Researcher Award

Dr.Chika Judith Abolle-Okoyeagu | Mechanical Engineering | Best Researcher Award

Lecturer-Teaching and Research Robert Gordon University United Kingdom

Judith Abolle is a highly motivated and hardworking chartered Mechanical Engineer and a Senior Fellow of the Higher Education Academy. With over 15 years of academic and industrial experience, Judith has developed significant expertise in engineering research, teaching, and learning, as well as academic leadership, course development, delivery, and management. She is dedicated to building a successful and rewarding career in academia, aiming to facilitate effective course delivery while maximizing student experience.

Profile

ORCiD

Education 🎓

  • 2021: Online Certificate in Leaders of Learning, Harvard University
  • 2017-2018: PG Cert in Teaching and Learning, Edinburgh Napier University
  • 2013-2018: PhD in Mechanical Engineering, Heriot-Watt University, UK
  • 2008-2009: MSc in Computer Systems Engineering, University of East London, UK
  • 2001-2006: BEng (Hons) in Mechanical Engineering, FUT Minna, Nigeria

Experience 💼

  • 2021-Present: Mechanical Engineering Lecturer/Academic Team Lead, Robert Gordon University
    • Responsibilities include supporting the ASL on strategic objectives, carrying out module quality assurance processes, engaging in course development, and leading the e-learning Team.
  • 2020-2021: Mechanical Engineering Lecturer/Course Leader, Robert Gordon University
    • Planned, delivered, and assessed all BEng Mechanical Engineering modules, engaged in course development, and managed course structure.
  • 2017-2020: Mechanical Engineering Lecturer/MEng Program Lead, Edinburgh Napier University
    • Responsible for module design, curriculum, and course development; managed quality and developed new collaborations to improve student employability.
  • 2013-2018: Mechanical Engineering Teaching Assistant, Heriot-Watt University
    • Delivered mechanical engineering modules, mentored and supervised projects, and organized interdepartmental seminars.
  • 2010-2013: FEA Project Engineer, OilDynamix Aberdeen
    • Conducted Linear, Non-linear, and Dynamic FEA on mechanical components, provided design support, and ensured compliance with technical and HSEQ project procedures.
  • 2009-2010: Computer Engineering Lecturer, University of East London
    • Developed and delivered engineering modules, mentored students, and supported curriculum and research development.

Research Interests 🔬

Judith’s research interests encompass a wide range of topics within mechanical engineering, including:

  • Acoustic Emission Monitoring
  • Finite Element Analysis
  • Machine Learning-Augmented Acoustic Emission
  • Defect Analysis in Fiber Reinforced Polymer (FRP) Pipelines
  • Safety Monitoring in Hydrogen Storage

Awards 🏆

  • Top 50 Women in Engineering Awards 2024
  • IMechE Accreditation Lead for Edinburgh Napier University
  • IMechE Academic Liaison Officer for Edinburgh Napier University
  • Scottish Interconnect Student Award Finalist
  • Heriot Watt University PhD James Watt Prize

Publications 📚

  • Abolle-Okoyeagu, C J., Ojotule Onoja., & Chioma Onoshakpor. (2024, July). Navigating STEM: challenges faced by Nigerian female secondary school students. The International Academic Forum (IAFOR) 12th European Conference on Education (ECE2024).
  • Fatukasi, S., Abolle-Okoyeagu, C.J., & Pancholi K. A Comparative Study of Acoustic Emissions from Pencil Lead Breaks on Steel and Aluminum Substrates Using Signal Analysis. Petroleum Engineer. In SPE Annual Technical Conference and Exhibition (Paper accepted).
  • Abolle-Okoyeagu, C.J., Fatukasi, S., & Reuben, B. (2024, September). Measurement and Simulation of the Propagation of Impulsive Acoustic Emission Sources in Pipes. In Acoustics (Vol. 6, No. 3, pp. 620-637). Multidisciplinary Digital Publishing Institute.
  • Abolle-Okoyeagu, C.J., et al. (2024). Quantitative Analysis of the Hsu-Nielsen Source through Advanced Measurement and Simulation Techniques. Proceedings 8th International Conference on Mechanical, Aeronautical and Automotive Engineering, Malaysia.
  • Abolle-Okoyeagu, C.J., et al. (2022). Impact source identification on pipes using acoustic emission energy. e-Journal of Nondestructive Testing, 28(1).

Tanaya Mandal | Engineering | Best Researcher Awards

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.