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.

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.

 

 

 

Naresh Kumar| Mechanical Engineering | Best Researcher Award

Mr.Naresh Kumar| Mechanical Engineering | Best Researcher Award

PhD (Engineering) Research Scholar |Amity University | India

Naresh Kumar is a dedicated and result-oriented professional with over 13 years of experience in teaching, research, and academic administration. He currently serves as an Assistant Professor and Maintenance Manager at Kasturi Shikshan Sanstha in Pune, Maharashtra. With expertise in areas such as Strength of Materials, Machine Design, CFD, and Engineering Mechanics, Naresh is passionate about enhancing educational practices. He has also contributed to the field of research, with numerous publications in prestigious journals. His skills in CAD/CAM, FEM, and ANSYS further complement his teaching. Naresh actively participates in various workshops, FDPs, and short-term courses to keep up with the latest developments in the mechanical engineering field. His goal is to continue fostering academic growth and contribute to the advancement of the engineering community.

 

Profile

Orcid

Scopus

Education

Naresh Kumar’s educational journey began with his matriculation from S.B.S.N. Bhiwani, Haryana, where he achieved 58.5% in 2002, followed by a senior secondary education from S.K.G.S.S. Bhiwani, Haryana with 57.2% in 2005. He earned his Bachelor’s degree in Mechanical Engineering from B.I.T.S, Bhiwani, Haryana (MDU Rohtak) in 2009, securing a 75.32% score. Naresh continued his academic pursuit with an M.Tech. in Manufacturing and Automation from U.I.E.T. Rohtak (MDU Rohtak) in 2011, with 70.06%. He then completed his Ph.D. in Engineering from Amity University, Jaipur, Rajasthan, where he achieved a remarkable 95.70% in course work, graduating in 2022. His educational background equips him with a strong foundation in mechanical engineering principles, and his continuous drive for knowledge fuels his passion for teaching and research.

 

Experience

Naresh Kumar brings over 13 years of experience in teaching and research, with a primary focus on mechanical engineering. He has taught undergraduate and postgraduate students across various subjects such as Strength of Materials, Machine Design, CFD, and Dynamics of Machines. As an Assistant Professor cum Maintenance Manager at Kasturi Shikshan Sanstha, Pune, Naresh has played a key role in maintaining academic excellence and overseeing the mechanical workshop. His administrative experience also includes overseeing NAAC accreditation and contributing to the exam department. His involvement extends to conducting academic duties such as Centre Superintendent responsibilities. Naresh has been an active contributor to academic events, serving on the organizing committee of the National Conference RTME-2013. His academic and administrative work is complemented by his role as a member of editorial boards for internationally recognized journals. His vast experience is rooted in both practical applications and innovative research in mechanical engineering.

 

Research Interests

Naresh Kumar’s primary research focus lies in the field of advanced manufacturing processes, specifically in Friction Stir Welding (FSW) and its application to dissimilar materials like aluminium and copper alloys. His work investigates the thermal and mechanical properties of welded joints, emphasizing the role of additives in improving welding outcomes. Naresh has published extensively on the topic, with significant contributions to journals like the METSZET Journal and the Journal of Technology. He also explores the computational aspects of mechanical engineering, utilizing tools like ANSYS and CFD for simulating and optimizing engineering designs. His recent research delves into topics like the exergy analysis of combined cycle power plants and cryocoolers. Naresh’s research aims to bridge the gap between theoretical analysis and practical application, contributing to the advancement of manufacturing processes, thermal management, and material science. His work is recognized internationally, with a focus on improving efficiency and sustainability in engineering applications.

 

Awards

Naresh Kumar has earned various awards and honors throughout his academic and professional career. His research contributions have been widely recognized in the form of numerous journal publications, many of which are indexed in Scopus. In 2024, his paper on “Friction Stir Welding of Aluminium and Copper Alloys” was published in METSZET Journal, highlighting his expertise in welding technologies. He is a member of editorial boards for prestigious journals like IJRITCC and TIJER, where his work is acknowledged for its impact on the field. Naresh’s role in organizing national conferences like RTME-2013 further underscores his leadership and commitment to advancing engineering education. Additionally, he has earned multiple certificates for his participation in workshops and short-term courses, including those related to research, technical writing, and advanced mechanical systems. His achievements reflect a consistent dedication to excellence in both academia and research.

 

Publications

Analysis of reinforced friction stir welded joints of dissimilar Al and Cu-alloys by ANSYS software

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2025

Experimental optimization of the FSW parameters to weld the dissimilar Al- and Cu-alloys by using additives at their joints

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

Design and Heat Transfer Analysis of Reinforced Friction Stir Welded Joints using ANSYS Software

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

Experimental optimization of the FSW parameters to weld the dissimilar Materials by using additives at their joints

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

The Experimental Investigation on various additives used in Friction Stir Welded Joints of Aluminium and Copper Alloys

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

The friction stir welding of aluminium and copper alloys with use of various additives at the joints

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

Thermal Analysis of Friction Stir Welded Joints of Aluminum and Copper alloys

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2024

A Review on the Friction Stir Welding Processes used for joining the various dissimilar materials from the year 2017 to the year 2023

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2023

The copper alloys used in the friction stir welding processes: A review

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2022

Thermal Analysis of a Thermo-coustic Cryocooler

Authors: Dr. Naresh Kumar

Citations: 0

Year: 2014

 

Conclusion

Naresh Kumar’s extensive publication record, active participation in academic and administrative roles, and ongoing professional development make him a highly suitable candidate for the “Best Researcher Awards.” His contributions to the fields of friction stir welding and material science, along with his commitment to academic excellence, clearly demonstrate his value as a leading researcher.