Xionghui Zou | Computational Modeling | Best Researcher Award

Mr. Xionghui Zou | Computational Modeling | Best Researcher Award

Zou Xionghui is a Senior Engineer at CATARC Automotive Test Center (Tianjin) Co., Ltd., where he specializes in vehicle emissions and energy-saving technologies. With over 15 years of experience in the automotive industry, he contributes to advancing sustainable transportation solutions in China. He began his career at Tianjin FAW Xiali Automobile Co., Ltd., where he worked on powertrain development, before joining CATARC in 2018. Zou holds a postgraduate degree in Power Machinery and Engineering from Tianjin University, completed in 2017. At CATARC, he plays a key role in the Light Vehicle Emission and Energy-Saving Testing and Research Department, focusing on emissions compliance and fuel efficiency research. Known for his dedication and technical acumen, Zou actively supports national environmental objectives through cutting-edge testing protocols and research methodologies. His work bridges academic knowledge and practical innovation, making him a valuable contributor to China’s automotive and environmental advancement efforts.

Profile

Education 🎓

Zou Xionghui pursued his postgraduate education in Power Machinery and Engineering at Tianjin University, one of China’s premier institutions for engineering and technology. He graduated in September 2017 after completing an intensive curriculum that focused on internal combustion engines, thermodynamics, emissions control, fuel systems, and vehicle performance optimization. His academic training equipped him with a strong foundation in theoretical principles and practical applications relevant to the automotive sector. The program emphasized energy efficiency and environmental sustainability, aligning with China’s growing focus on clean and green automotive technologies. Throughout his academic career, Zou developed expertise in simulation modeling, mechanical testing, and data analysis techniques, which he now applies in his professional work. His education laid the groundwork for his contributions to national standards for vehicle emissions and energy conservation. The rigorous academic environment at Tianjin University also instilled a strong commitment to continuous learning and technological innovation in his engineering practice.

Experience 👨‍🏫

Zou Xionghui began his professional journey in July 2007 at the Development Center of Tianjin FAW Xiali Automobile Co., Ltd., where he worked in the Powertrain Department until August 2009. There, he gained valuable hands-on experience in engine systems, drivetrain integration, and power efficiency enhancements. After a brief period focusing on further education and research, Zou joined CATARC Automotive Test Center (Tianjin) Co., Ltd. in July 2018, where he currently serves as a Senior Engineer in the Light Vehicle Emission and Energy-Saving Testing and Research Department. At CATARC, he is involved in testing vehicle emissions, evaluating fuel consumption, and supporting research into energy-saving vehicle technologies. His role includes developing testing protocols, coordinating with regulatory authorities, and contributing to national emissions standards. His combined industrial and research experience makes him a key asset in driving China’s efforts to meet environmental regulations and promote cleaner, more efficient transportation systems.

Awards & Recognitions 🏅

Zou Xionghui has earned recognition throughout his career for his technical expertise and contributions to automotive emissions research and testing. While specific awards are not listed, professionals in his role and organization often receive internal accolades for excellence in engineering, participation in national standards development, and successful execution of major testing programs. As a Senior Engineer at CATARC, Zou is likely involved in collaborative government-industry initiatives, for which teams frequently receive collective commendations from agencies such as the Ministry of Ecology and Environment and the Ministry of Industry and Information Technology. Additionally, his continued presence in a high-impact technical role at one of China’s foremost automotive testing centers reflects sustained professional excellence. His postgraduate academic background and position in a prestigious national laboratory context underscore his achievements in engineering innovation, regulatory compliance testing, and contribution to the advancement of vehicle environmental performance standards in China.

Research Interests 🔬

Zou Xionghui’s research focuses on vehicle emissions testing, fuel economy optimization, and development of low-emission vehicle technologies. At CATARC, he is engaged in experimental evaluations of light-duty vehicles, with an emphasis on compliance with national and international emission standards. His work involves developing and refining protocols for tailpipe emission measurements, analyzing energy consumption trends, and researching technologies that reduce environmental impact. He contributes to improving methodologies for chassis dynamometer testing and real-world driving emissions (RDE) assessments. Zou is also interested in integrating simulation tools with laboratory data to enhance vehicle design for energy efficiency. His research supports China’s policies on green transportation and helps automobile manufacturers align with evolving environmental requirements. With a strong academic and practical foundation, Zou is at the forefront of innovations in emission reduction and energy-saving strategies, contributing valuable insights to the automotive sector’s transition toward cleaner and more sustainable mobility solutions.

Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami | Mechanical Engineering | Best Researcher Award

Dr. Elyas Rostami is a distinguished faculty member at Buein Zahra Technical and Engineering University, specializing in Aerospace Engineering 🚀. With a solid academic background, he earned his B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, followed by an M.Sc. in Aerospace Engineering ✈️ from Tarbiat Modares University, and completed his PhD 🎓 at K. N. Toosi University of Technology. Dr. Rostami is an active researcher with numerous journal articles 📄, books 📚, and research projects 🔍 to his credit. His professional interests lie in aerospace propulsion systems, spray and atomization 💧, fluid mechanics 🌊, and sustainable energy applications ⚡. As a dedicated educator 👨‍🏫 and reviewer, he contributes to shaping future engineers while advancing scientific knowledge through research collaborations 🤝, publishing, and mentoring.

Profile

Education 🎓

Dr. Elyas Rostami holds a B.Sc. in Mechanical Engineering 🛠️ from Mazandaran University, laying the foundation for his technical expertise. He pursued his M.Sc. in Aerospace Engineering ✈️ at Tarbiat Modares University, where he refined his knowledge in aerodynamics, propulsion, and fluid mechanics 🌬️. Driven by academic excellence, he earned his Ph.D. in Aerospace Engineering 🚀 from K. N. Toosi University of Technology, specializing in thermodynamics, propulsion systems 🔥, and energy-efficient solutions 💡. His academic path reflects deep commitment to understanding advanced mechanical and aerospace systems 🔧. Through rigorous coursework, experimental research, and publications 📝, Dr. Rostami has cultivated profound expertise that bridges theory and practice 🧠💪, enabling him to address modern aerospace challenges with innovative thinking 🚀.

Experience 👨‍🏫

Dr. Elyas Rostami serves as a faculty member 👨‍🏫 at Buein Zahra Technical and Engineering University, where he imparts knowledge in Aerospace Engineering 🚀. His career spans academic teaching 📖, research leadership 🔬, article peer reviewing 🧐, and supervising research projects 🔍. He has authored multiple scientific papers 📝 and books 📚, advancing the field of propulsion systems, spray technology 💧, and fluid mechanics 🌊. Beyond academia, Dr. Rostami actively engages with industry via research collaborations 🤝 and applied projects that explore new energies 🌱 and aerospace applications ✈️. His professional journey demonstrates versatility and dedication, contributing both as an educator and innovator 🎓⚙️. His research passion and practical approach shape students into future-ready engineers, while his publications impact global scientific discourse 🌐.

Awards & Recognitions 🏅

Dr. Elyas Rostami’s career is marked by academic excellence and research distinction 🎖️. His scholarly contributions earned him recognition through research publications in reputable journals 🏅, invitations to review articles 🧐, and participation in collaborative research projects 🤝. He has authored a scientific book 📘 and continuously advances his field through active publishing and innovation 🌟. His expertise in aerospace propulsion 🔥 and fluid dynamics 🌊 has positioned him as a valued academic and research professional. The depth of his work reflects both national and international acknowledgment, solidifying his reputation as a committed and impactful researcher 🌍. Dr. Rostami’s work embodies passion for engineering, teaching excellence, and scientific advancement 💡🔬.

Research Interests 🔬

Dr. Elyas Rostami’s research focuses on fluid mechanics 🌊, aerospace propulsion systems 🚀, spray and atomization processes 💧, and the use of renewable energies in industrial applications 🌱. His investigations address the thermodynamics of propulsion systems 🔥, advancing efficiency and performance in aerospace technology ✈️. He integrates experimental and computational approaches 🖥️ to explore new energy solutions and optimize spray behavior under different conditions ⚙️. Through research projects 🔬, journal articles 📄, and book authorship 📚, he contributes to the understanding of modern aerospace challenges. Dr. Rostami’s work supports both academic progress and industrial innovation 💡, making significant strides in the development of sustainable and high-performance propulsion technologies 🌍🚀.

Publications 

Selvakumaran | EEE | Best Researcher Award

Dr. Selvakumaran | EEE | Best Researcher Award

Dr. S. Selvakumaran is an accomplished academician with 15 years of experience in engineering education, specializing in power electronics, smart grids, and renewable energy systems. He has held key institutional roles, including NBA, NAAC, Exam Cell, and ISO Coordinator. With a strong research focus on green energy applications, he has published in reputed journals and conferences. His expertise spans control systems, electrical machines, and metaheuristic optimization techniques for power converters. He has guided over 80 UG and 15 PG students, contributing significantly to academia.

Profile

Education 🎓

Dr. Selvakumaran earned his Ph.D. in Electrical Engineering from Anna University in 2024, focusing on optimization-based converters for green energy. He completed his M.E. in Power Electronics and Drives from Government College of Engineering, Tirunelveli (2009) with 73% and his B.E. in Electrical and Electronics Engineering from Dhanalakshmi Srinivasan Engineering College, Perambalur (2007) with 72%. His academic journey reflects his deep commitment to power electronics and renewable energy research.

Experience 👨‍🏫

Dr. Selvakumaran served as an Assistant Professor at Dhanalakshmi Srinivasan Engineering College, Perambalur (2009-2020), mentoring students in electrical engineering. From 2021 to 2024, he was a full-time research scholar at Alagappa Chettiar Government College of Engineering and Technology, Karaikudi, focusing on optimization algorithms for energy applications. His expertise includes NBA and NAAC accreditation, exam cell coordination, and institutional quality management.

Research Interests 🔬

Dr. Selvakumaran’s research focuses on metaheuristic optimization algorithms for power converters, renewable energy integration, and smart grids. He has worked extensively on hybrid energy systems, solar PV optimization, and intelligent power management. His studies include grid-connected electric vehicle systems, power quality improvement, and AI-driven energy optimization, contributing to sustainable energy solutions.

Dr. Selvakumaran has been recognized for his contributions to electrical engineering through best paper awards at national and international conferences. His publications in high-impact journals like the Journal of Energy Storage (IF: 8.9) and IETE Journal of Research (IF: 1.59) highlight his research excellence. He has received appreciation for mentoring students and serving in key academic roles, enhancing institutional accreditation standards.

Publications 📚

  • Optimal planning of photovoltaic, wind turbine and battery to mitigate flicker and power loss in distribution network

    Journal of Energy Storage
    2025-04 | Journal article
    Part ofISSN: 2352-152X
    CONTRIBUTORS: G. Muralikrishnan; K. Preetha; S. Selvakumaran; P. Hariramakrishnan
  • A hybrid approach for PV based grid tied intelligent controlled water pump system

    International Journal of Adaptive Control and Signal Processing
    2024 | Journal article
    EID:

    2-s2.0-85184388143

    Part ofISSN: 10991115 08906327
    CONTRIBUTORS: Selvakumaran, S.; Baskaran, K.
  • A Hybrid RBFNN-SPOA Technique for Multi-Source EV Power System with Single-Switch DC-DC Converter

    IETE Journal of Research
    2024 | Journal article
    EID:

    2-s2.0-85198697794

    Part ofISSN: 0974780X 03772063
    CONTRIBUTORS: Selvakumaran, S.; Baskaran, K.
  • Improved binary quantum-based Elk Herd optimizer for optimal location and sizing of hybrid system in micro grid with electric vehicle charging station

    Journal of Renewable and Sustainable Energy
    2024 | Journal article
    EID:

    2-s2.0-85208946652

    Part of ISSN: 19417012
    CONTRIBUTORS: Muralikrishnan, G.; Preetha, K.; Selvakumaran, S.; Nagendran, J.

Lichen Shi | Mechanical Engineering | Best Researcher Award

Prof. Lichen Shi | Mechanical Engineering | Best Researcher Award

 

Profile

Education

Lichen Shi (also written as Shi Lichen) is a distinguished Chinese researcher specializing in intelligent measurement, equipment status monitoring, fault diagnosis, and electromechanical system modeling. He was born on June 28, 1972, and is currently affiliated with the School of Mechanical and Electrical Engineering at Xi’an University of Architecture and Technology (XAUAT), China.

With a strong academic and research background, Professor Shi has dedicated his career to advancing intelligent measurement techniques through deep learning, as well as improving the reliability of electromechanical systems through fault diagnosis and dynamic analysis.

Academic Contributions

Professor Shi has published extensively in prestigious international journals, particularly in IEEE Sensors Journal, Measurement, and Computer Engineering & Applications. His notable works focus on deep learning-based fault diagnosis, graph neural networks, and AI-driven predictive modeling for mechanical systems.

Some of his key contributions include:

  • Developing an AI-based method for reading pointer meters using human-like reading sequences.
  • Proposing a graph neural network and Markov transform fields approach for gearbox fault diagnosis.
  • Introducing CBAM-ResNet-GCN methods for unbalance fault detection in rotating machinery.
  • Advancing domain transfer learning techniques for mixed-data gearbox fault diagnosis.
  • Pioneering a lightweight low-light object detection algorithm (CDD-YOLO) for enhanced industrial applications.

His research findings have contributed significantly to the optimization of industrial machinery, predictive maintenance, and AI-driven automation in electromechanical systems. Many of his publications are frequently cited, underlining their impact on the field.

Research Interests

Professor Shi’s research spans multiple cutting-edge areas, including:

  • Intelligent Measurement with Deep Learning
  • Equipment Status Monitoring and Fault Diagnosis
  • Electromechanical System Modeling and Dynamic Analysis

Professional Impact

As a leading expert in intelligent diagnostics and mechanical system optimization, Professor Shi has played a crucial role in bridging the gap between artificial intelligence and industrial engineering. His contributions have aided in the development of more efficient, predictive, and adaptive electromechanical systems, helping industries reduce downtime and improve operational efficiency.

Publication

  • [1] Qi Liu, Lichen Shi*. A pointer meter reading method based on human-like readingsequence and keypoint detection[J]. Measurement, 2025(248): 116994. https://doi.org/10.1016/j.measurement.2025.116994
  • [2] Haitao Wang, Zelin. Liu, Mingjun Li, Xiyang Dai, Ruihua Wang and LichenShi*. AGearbox Fault Diagnosis Method Based on Graph Neural Networks and MarkovTransform Fields[J]. IEEE Sensors Journal, 2024, 24(15) :25186-25196. doi:
    10.1109/JSEN.2024.3417231
  • [3] Haitao Wang, Xiyang Dai, Lichen Shi*, Mingjun Li, Zelin Liu, Ruihua Wang , XiaohuaXia. Data-Augmentation Based CBAM-ResNet-GCN Method for Unbalance Fault
    Diagnosis of Rotating Machinery[J]. IEEE Sensors Journal, 2024,12:34785-34799. DOI:
    10.1109/access.2024.3368755.
  • 4] Haitao Wang, Mingjun Li, Zelin Liu, Xiyang Dai, Ruihua Wang and Lichen Shi*. RotaryMachinery Fault Diagnosis Based on Split Attention MechanismandGraphConvolutional Domain Adaptive Adversarial Network[J]. IEEE Sensors Journal, 2024,
    24(4) :5399-5413. doi: 10.1109/JSEN.2023.3348597.
  • [5] Haitao Wang, Xiyang Dai, Lichen Shi*. Gearbox Fault Diagnosis Based onMixedData-Assisted Multi-Source Domain Transfer Learning under Unbalanced Data[J]. IEEESensors Journal. doi: 10.1109/JSEN.2024.3477929

 

Kaveri Hatti | Engineering| Women Researcher Award

Mrs. Kaveri Hatti | Engineering| Women Researcher Award

 

 

Profile

Education

averi Hatti is a dedicated researcher and educator in the field of VLSI Design, Embedded Systems, and Hardware Security. She is currently pursuing a Ph.D. at Amrita School of Engineering, Bangalore, focusing on FPGA-based security architectures. With a strong academic background, she holds an M.Tech in VLSI Design and Embedded Systems from VTU Regional Office, Gulbarga, and a B.Tech in Electronics and Communication Engineering from SLN College of Engineering, Raichur.

Kaveri has extensive teaching experience, having served as a Lecturer at Tagore Memorial Polytechnic College and Government Polytechnic College in Raichur before joining Amrita School of Engineering, Bangalore, as a Teaching Assistant in 2022. Her expertise lies in FPGA design, Verilog, RTL design, and hardware security implementations, utilizing tools like Xilinx ISE, VIVADO, ModelSim, and Cadence.

 

Work experience

Kaveri Hatti has a strong background in academia, with extensive teaching experience spanning several years. She began her career as a Lecturer at Tagore Memorial Polytechnic College, Raichur, from August 2009 to December 2012, where she played a key role in instructing and mentoring students in electronics and communication engineering. Simultaneously, she also served as a Lecturer at Government Polytechnic College, Raichur, from June 2009 to June 2011. Currently, she is working as a Teaching Assistant at Amrita School of Engineering, Bangalore, since February 2022, contributing to research and assisting in the academic development of students in the field of VLSI Design and Embedded Systems.

Publication