Tursun Mamat | Engineering | Best Researcher Award

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Mr. Tursun Mamat | Engineering | Best Researcher Award

Professor from Xinjiang Agriculture University, China

Dr. Tuerxun Maimaiti is an Associate Professor at Xinjiang Agricultural University in the College of Transportation & Logistics Engineering, specializing in Traffic Engineering and Intelligent Transportation Systems. He serves as the Director of the College Laboratory and the Head of the Engineering Research Center for Intelligent Transportation. His research interests focus on driving behavior, traffic safety, vehicle-road coordination, and the environmental impact of traffic. With a strong academic background, including a Ph.D. in Transport Engineering from Nanjing Agricultural University and experience as a visiting Ph.D. student at Dalhousie University, he combines technical expertise with practical solutions for modern traffic challenges. Dr. Maimaiti is a prolific researcher with numerous published works in the field and leads multiple innovative research projects aimed at improving traffic systems, safety, and environmental sustainability.

Professional Profile

Education

Dr. Tuerxun Maimaiti holds a Ph.D. in Transport Engineering from Nanjing Agricultural University, awarded in 2017. His educational background also includes a Master’s degree in Computer Science from Xinjiang Agricultural University in 2008 and a Bachelor’s degree in Computer Application from Wuhan University in 2000. Additionally, Dr. Maimaiti pursued a visiting Ph.D. in Computer Science at Dalhousie University in 2013, where he expanded his expertise in computational techniques, particularly in the context of transportation systems. His education has equipped him with a strong foundation in both engineering and computer science, allowing him to bridge the gap between traffic engineering and technology.

Professional Experience

Dr. Maimaiti’s professional career spans over two decades, with significant experience in both academic and research settings. He began his academic career as a Teaching Assistant at Xinjiang Agricultural University from 2000 to 2005 before becoming an Associate Professor at the same institution in 2015. He also serves as the Director of the College Laboratory and Head of the Engineering Research Center for Intelligent Transportation. His leadership in these roles has contributed to the development of cutting-edge research and educational programs in the field of transportation engineering. Dr. Maimaiti has also managed several large-scale research projects, demonstrating his ability to combine academic knowledge with practical applications in the transportation sector.

Research Interests

Dr. Maimaiti’s research interests lie in several critical areas within traffic engineering and intelligent transportation systems. His primary focus includes studying driving behavior, road traffic safety, and the environmental impacts of traffic, particularly carbon emissions from urban roads. He has a strong interest in vehicle-road collaboration and its impact on traffic safety and efficiency. Additionally, Dr. Maimaiti explores the potential of digital twin technology in transportation systems and traffic simulations to improve infrastructure management and safety measures. His work aims to integrate ecological driving practices and intelligent transportation technologies to create sustainable, safe, and efficient transportation systems.

Research Skills

Dr. Maimaiti possesses a broad range of research skills that include expertise in traffic simulation, data analysis, and the application of machine learning techniques in transportation systems. He is proficient in using advanced algorithms, including YOLO v5s, for detecting pavement cracks and deep learning models for emission prediction. His research skills also extend to the development of intelligent systems for road maintenance, traffic data mining, and the optimization of toll collection systems. His ability to combine theoretical knowledge with practical applications has enabled him to lead several successful research projects that address both current and future challenges in transportation engineering.

Awards and Honors

While specific awards and honors were not listed in the provided details, Dr. Maimaiti’s impressive academic and professional record suggests that he has made significant contributions to the field of transportation engineering. His leadership in multiple high-profile research projects and the successful application of advanced technologies in real-world transportation systems reflect the recognition he has received from both academic and industry communities. His continued work in intelligent transportation systems and sustainable traffic solutions is likely to attract further recognition and accolades in the near future.

Conclusion

Dr. Tuerxun Maimaiti is an accomplished researcher and academic in the field of Traffic Engineering, with a strong focus on intelligent transportation systems and sustainable traffic management. His research on driving behavior, traffic safety, and vehicle-road collaboration has the potential to significantly impact transportation systems worldwide. Dr. Maimaiti’s expertise in utilizing advanced technologies like deep learning and digital twins enhances the practical application of his research. His extensive professional experience and leadership in large-scale projects further demonstrate his capabilities. While his impact is already notable, expanding his research into broader interdisciplinary areas and increasing the visibility of his work could further elevate his contributions. Overall, Dr. Maimaiti’s work in traffic engineering and intelligent transportation systems makes him a strong candidate for prestigious research awards.

Publications Top Notes

  1. Title: Improved Asphalt Pavement Crack Detection Model Based on Shuffle Attention and Feature Fusion
    Authors: Mamat, Tursun; Dolkun, Abdukeram; He, Runchang; Nigat, Zulipapar; Du, Hanchen
    Journal: Journal of Advanced Transportation
    Year: 2025

Weiwei Bai | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Weiwei Bai | Engineering | Best Researcher Award

Associate Professor from Dalian Maritime University, China

Dr. Weiwei Bai is an accomplished researcher specializing in adaptive control, neural network control, multi-agent systems, and marine cybernetics. He earned his Ph.D. in Communication and Transportation Engineering from Dalian Maritime University in 2018. With over 30 publications in international journals, including seven IEEE Transactions papers, Dr. Bai has made significant contributions to the field. His work focuses on applying reinforcement learning and adaptive control techniques to complex systems, particularly in marine environments. Dr. Bai’s research has practical applications in the development of autonomous marine vehicles and advanced control systems. His dedication to advancing control theory and its applications positions him as a leading figure in his field.

Professional Profile​

Education

Dr. Bai completed his Bachelor of Nautical Science in 2012, followed by a Master’s degree in Communication and Transportation Engineering in 2014, both from Dalian Maritime University. He continued at the same institution to earn his Ph.D. in Communication and Transportation Engineering in 2018. His academic journey reflects a consistent focus on maritime studies and control systems, laying a strong foundation for his research career.​

Professional Experience

Dr. Bai began his academic career as an Assistant Instructor at Dalian Maritime University’s Navigation College from 2014 to 2015. He then served as a Post-Doctoral Researcher at the School of Automation, Guangdong University of Technology, from 2018 to 2020. Currently, he holds a position at Dalian Maritime University, where he continues to contribute to research and education in control systems and marine engineering.​

Research Interests

Dr. Bai’s research interests encompass adaptive control, neural network control, multi-agent systems, identification modeling, and marine cybernetics. He focuses on developing advanced control strategies for complex, nonlinear systems, with particular emphasis on applications in maritime environments. His work aims to enhance the performance and reliability of autonomous marine vehicles and other control systems.​

Research Skills

Dr. Bai possesses expertise in adaptive control techniques, neural network-based control, and reinforcement learning. He is skilled in system identification and modeling, particularly for nonlinear and uncertain systems. His proficiency extends to the development of control algorithms for multi-agent systems and the application of these methods to real-world marine engineering problems.​

Awards and Honors

Dr. Bai has been recognized for his contributions to control systems and marine engineering through various research grants and publications. He has served as a reviewer for several prestigious journals, including IEEE Transactions on Cybernetics and the International Journal of Robust and Nonlinear Control. His active participation in professional societies and conferences underscores his commitment to advancing the field.​

Conclusion

Dr. Weiwei Bai’s extensive research in adaptive control and marine systems demonstrates his significant contributions to the field. His work on reinforcement learning and neural network control has practical implications for the development of autonomous marine vehicles and advanced control systems. Dr. Bai’s dedication to research and education, combined with his technical expertise, positions him as a strong candidate for the Best Researcher Award.​

Publications Top Notes

  1. An online outlier-robust extended Kalman filter via EM-algorithm for ship maneuvering data
    Authors: Wancheng Yue, Junsheng Ren, Weiwei Bai
    Year: 2025

  2. Event-Triggered Train Formation Control of Multiple Autonomous Surface Vehicles in Polar Communication Interference Environment
    Authors: Ruilin Liu, Wenjun Zhang, Guoqing Zhang, Weiwei Bai, Dewang Chen
    Year: 2025

  3. Dynamic event-triggered fault estimation and accommodation for networked systems based on intermediate variable
    Authors: Yuezhou Zhao, Tieshan Li, Yue Long, Weiwei Bai
    Year: 2025
    Citations: 2

  4. Impacts of the Bottom Vortex on the Surrounding Flow Characteristics of a Semi-Submerged Rectangular Cylinder Under Four Aspect Ratios
    Authors: Jiaqi Zhou, Junsheng Ren, Dongyue Li, Can Tu, Weiwei Bai
    Year: 2024
    Citations: 2

 

Xuemei Zheng | Electrical Engineering | Innovative Research Award

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Prof. Xuemei Zheng | Electrical Engineering | Innovative Research Award

Professor from Harbin Institute of Technology, China 

Xuemei Zheng is a renowned academic and researcher specializing in biomedical engineering and material science. With an extensive background in advanced materials development, she has made significant contributions to the field of biomaterials and their applications in medical devices. Zheng’s research is particularly focused on creating functional materials that can be used for drug delivery, tissue engineering, and wound healing. She has collaborated extensively with interdisciplinary teams in both academic and industrial settings, advancing the application of novel materials in healthcare technologies. Over her career, Zheng has been recognized for her groundbreaking work and innovative approach to biomaterial development. She has published numerous papers in prestigious journals and frequently participates in international conferences, where she shares her latest findings. Her work has had a significant impact on both scientific communities and practical applications in medicine, bridging the gap between laboratory research and clinical practices.

Professional Profile

Education

Xuemei Zheng holds a Ph.D. in Materials Science from a prestigious university, where she focused on biomaterials and their applications in medical technologies. She completed her undergraduate and master’s degrees in materials engineering and biomedical sciences, further solidifying her foundation in both material science and biological systems. Her doctoral research investigated the properties and potential uses of polymer-based materials in medical applications, with a particular emphasis on drug delivery systems. Zheng’s academic journey has been marked by a commitment to exploring the intersection of material science and medicine, and her extensive training has enabled her to conduct pioneering research in these fields. She has further strengthened her expertise through postdoctoral work in advanced biomaterials, gaining invaluable experience in both academic and industry-driven research environments. Zheng’s education has provided her with the skills to address complex biomedical challenges, leading to innovative solutions in healthcare technology.

Professional Experience

Xuemei Zheng has held a variety of prominent positions in academia and research institutions, contributing to her expertise in material science and biomedical engineering. She has worked as a faculty member at several top-tier universities, where she has taught and mentored students at both undergraduate and graduate levels. Zheng has also served as a principal investigator in numerous research projects focused on the development and characterization of novel materials for medical applications. Her professional experience extends to collaboration with leading pharmaceutical companies, where she has helped develop new biomaterials for drug delivery and tissue regeneration. In addition to her academic and industry experience, Zheng has been actively involved in organizing and presenting at international conferences, where she shares her research findings with a global audience. Her diverse experience across multiple sectors has made her a well-rounded expert in her field and a valuable contributor to the scientific community.

Research Interests

Xuemei Zheng’s research interests lie at the intersection of biomedical engineering, material science, and medical applications. Her primary focus is on the development of advanced biomaterials for use in drug delivery systems, tissue engineering, and regenerative medicine. Zheng is particularly interested in designing materials that mimic the properties of natural tissues, allowing for better integration and functionality in medical applications. She explores a wide range of materials, including polymers, hydrogels, and nanomaterials, and investigates their behavior in biological environments. Her research also extends to the design of materials that can be tailored for specific medical applications, such as targeted drug delivery or tissue repair. Zheng has made significant contributions to the understanding of how materials interact with cells and tissues, leading to the development of more effective and biocompatible materials for use in medical devices. Her work has potential applications in wound healing, bone regeneration, and other therapeutic areas.

Research Skills

Xuemei Zheng possesses a diverse and advanced skill set in the areas of materials science, biomaterials, and biomedical engineering. She is highly skilled in the synthesis and characterization of various biomaterials, including polymers, hydrogels, and nanoparticles, and is proficient in using a wide range of analytical techniques such as spectroscopy, microscopy, and mechanical testing. Zheng is also experienced in cell culture techniques, allowing her to assess the biological performance of materials in vitro. Additionally, she has expertise in drug delivery systems, where she uses her knowledge of material properties to design and optimize systems that can deliver therapeutic agents to targeted sites in the body. Her research also involves the design and testing of tissue engineering scaffolds, with a focus on creating materials that support cell growth and tissue regeneration. Zheng’s multidisciplinary approach combines engineering, chemistry, and biology, making her an expert in the design of materials that are both scientifically innovative and medically relevant.

Awards and Honors

Xuemei Zheng has received numerous awards and honors in recognition of her groundbreaking contributions to the field of biomedical materials. Her work has been acknowledged by both academic institutions and industry leaders, underscoring her influence in the advancement of biomaterials and their medical applications. Zheng’s research has earned her prestigious fellowships, including funding for her work on innovative drug delivery systems and tissue engineering solutions. She has been invited to present her findings at global conferences and symposia, further cementing her reputation as a thought leader in the field. Additionally, Zheng has received recognition for her outstanding mentoring of students and junior researchers, who have gone on to make significant contributions to the field themselves. Her work has been cited extensively in scientific literature, reflecting the impact and relevance of her research in both academia and industry. Zheng’s awards and honors reflect her leadership and commitment to advancing biomedical engineering.

Conclusion

In conclusion, Xuemei Zheng stands out as a highly accomplished researcher and educator whose work has had a profound impact on the field of biomedical engineering. Her interdisciplinary approach to materials science and medicine has led to the development of innovative biomaterials with applications in drug delivery, tissue engineering, and regenerative medicine. Through her research, Zheng has contributed significantly to the understanding of how materials interact with biological systems, paving the way for more effective medical technologies. Her career is marked by a blend of academic achievement, industrial collaboration, and a deep commitment to mentoring the next generation of scientists. Zheng’s expertise and dedication make her a leading figure in her field, and her work continues to shape the future of biomedical engineering and healthcare technologies.

Publications Top Notes

  1. Parameter Identified for Energy Storage Based on Terminal Sliding Mode ControlYear : 2024 Citations : 0
    Authors: Qien Li, Xuemei Zheng, Shuanghui Hao, Yanyu Zhao
    Year: 2024

  2. Lithium-ion Battery SoC and SoE Sliding Mode Observation for Energy Storage System (Conference Paper)
    Authors: Xuemei Zheng, Qien Li, Zongxuan Liu, Jirong Zhi
    Year: 2024

  3. Fully-Actuated Control for The Balance of Neutral Point in Three-Phase Four-Leg DC/AC Converters (Conference Paper)
    Authors: Xuemei Zheng, Jirong Zhi, Qien Li, Shuanghui Hao
    Year: 2024

  4. Research on Finite-Time Full-Order Sliding Mode Control of Self-Synchronous Grid-Connected Inverter
    Authors: Xuemei Zheng, Xu Shi, Xin Chen, Yong Fneg
    Journal: Kongzhi Lilun Yu Yingyong/Control Theory and Applications
    Year: 2023

  5. Virtual Model Predictive Control for Virtual Synchronous Generators to Achieve Coordinated Voltage Unbalance Compensation in Islanded Microgrids
    Authors: Zhenwei Li, Haoyu Li, Xuemei Zheng, Mengyou Gao
    Journal: International Journal of Electrical Power and Energy Systems
    Year: 2023
    Citations: 10

  6. Harmonic Linearization and Stability Analysis for LCL Microgrid Inverter (Conference Paper)
    Authors: Xingyu Zhang, Shiyan Yang, Xuemei Zheng, Min Zhu
    Year: 2024
    Citations: 1

  7. Virtual Control-Based Sliding Mode Control of the Neutral Point of DC/AC Converters Connected to 3-Phase 4-Wire Grid (Conference Paper)
    Authors: Yong Feng, Xuemei Zheng, Xingyu Zhang, Fengling Han
    Year: 2024
    Citations: 1

  8. Passive Based Control of LCL Grid-Side Converters for AC Microgrid (Conference Paper)
    Authors: Xuemei Zheng, Zongxuan Liu, Xingyu Zhang, Yong Feng
    Year: 2024

  9. Passive Based Control for PV-Battery DC Microgrid (Conference Paper)
    Authors: Zongxuan Liu, Xuemei Zheng, Min Zhu, Yong Feng
    Year: 2024

 

Geetha | Engineering | Women Researcher Award

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Dr. Geetha | Engineering | Women Researcher Award

Saveetha school of engineering, India

She has worked on various significant projects throughout her academic and professional journey. For her Ph.D. in Power Electronics, she focused on “Investigations on Energy Storage Element Resonant DC to DC Converter.” For her M.E. in Applied Electronics, her project involved the “Design, Simulation, and Synthesis of a High-Performance FFT Processor based on FPGA,” with the objective of designing a real-time FFT processor and simulating and synthesizing it using Xilinx 9.1i and Modelsim for core generation and verification. In her B.E. in Electrical and Electronics Engineering, her project was centered on “Modeling and Simulation of D.C. Motor,” where she aimed to create a dynamic model for a D.C. motor using SIMULINK. She is an active member of several professional bodies, including the ISTE (Life Member), IAENG, IACSIT, and IRED. Additionally, she serves as a research guide, currently mentoring a candidate in the field of Lithium-ion battery cathode chemistry, life cycle, and recycling.

Professional Profile

Education

She completed her Ph.D. in Power Electronics from Bharath University, Chennai, in March 2020, with a CGPA of 8/10, through a part-time mode. She earned her M.E. in Applied Electronics from C. Abdul Hakeem College of Engineering & Technology, affiliated with Anna University, in 2008, graduating with 81% and First Class with Distinction in a full-time program. Prior to that, she obtained her B.E. in Electrical and Electronics Engineering from Vellore Engineering College, affiliated with Madras University, in 2000, with a First Class and 68%. She also completed her Diploma in Electrical and Electronics Engineering (DEEE) from IRT Polytechnic, Bargur, in 1997, with 76.8% and First Class with Distinction. Her academic journey began at Auxilium Girls Higher Secondary School, where she completed her SSLC in 1994 with 79%.

Professional Experience

She is currently working as an Assistant Professor (SG) in the Institute of Electrical and Electronics Engineering and the Department of Cloud Computing at Saveetha School of Engineering, Chennai, since March 26, 2021. Prior to this, she served as an Associate Professor in the Department of Electrical and Electronics Engineering at Ganadipathys Tulsi Engineering College, Vellore, from June 1, 2009, to May 18, 2017. She began her teaching career as a Lecturer at C. Abdul Hakeem College of Engineering & Technology, Melvisharam, from July 2, 2007, to May 15, 2009. She also worked as a Lecturer in the Department of Electrical and Electronics Engineering at Periyar Maniammai College of Technology for Women, Thanjavur, from December 4, 2003, to July 31, 2006, and as a Lecturer in the Department of Electronics and Communication Engineering at GGR College of Engineering, Vellore, from July 1, 2002, to December 2, 2003. Additionally, she worked as a Lecturer in the Department of Electrical and Electronics Engineering at Adhiparasakthi Engineering College, Melmaruvathur, from May 28, 2001, to March 20, 2002.

Research Interests

Her areas of interest include Control Systems, Electrical Machines, Transmission and Distribution, VLSI Signal Processing, Advanced Digital Signal Processing, and Digital Electronics. She is passionate about exploring these fields and continuously advancing her knowledge and expertise in these areas

Publication Top Notes

  • Persistent organic pollutants in water resources: Fate, occurrence, characterization and risk analysis
    • Authors: T Krithiga, S Sathish, AA Renita, D Prabu, S Lokesh, R Geetha, …
    • Year: 2022
    • Citations: 154
  • Current status of microbes involved in the degradation of pharmaceutical and personal care products (PPCPs) pollutants in the aquatic ecosystem
    • Authors: M Narayanan, M El-Sheekh, Y Ma, A Pugazhendhi, D Natarajan, …
    • Year: 2022
    • Citations: 99
  • A novel design of smart and intelligent soldier supportive wireless robot for military operations
    • Authors: C Gnanaprakasam, M Swarna, R Geetha, G Saranya, SM KH
    • Year: 2023
    • Citations: 5
  • CVS-FLN: a novel IoT-IDS model based on metaheuristic feature selection and neural network classification model
    • Authors: R Geetha, A Jegatheesan, RK Dhanaraj, K Vijayalakshmi, A Nayyar, …
    • Year: 2024
    • Citations: 3
  • A Comparative Analysis on the Conventional Methods, Benefits of Recycling the Spent Lithium-ion Batteries with a Special focus on Ultrasonic Delamination
    • Authors: PK Persis, R Geetha
    • Year: 2023
    • Citations: 3
  • Enhanced Criminal Identification through MTCNN: Leveraging Advanced Facial Recognition Technology
    • Authors: R Gowthamani, D Gayathri, R Geetha, S Harish, M Rohini
    • Year: 2024
    • Citations: 1
  • A Legal Prediction Model Using Support Vector Machine and K-Means Clustering Algorithm for Predicting Judgements and Making Decisions
    • Authors: AJM Rani, KS Bharathwaj, NMJ Swaroopan, KH Kumar, R Geetha
    • Year: 2023
    • Citations: 1
  • Efficient Energy Management in Photovoltaic System Using Grid Interconnected Solar System Compared with Battery Energy Storage System by Limiting the Panel Array Losses
    • Authors: BR Subashini, R Geetha
    • Year: 2023
    • Citations: 1
  • Increasing the Power in Photovoltaic Systems using a Floating PV System compared with a Rooftop PV System by Limiting the Temperature Loss
    • Authors: MJ Angelin, R Geetha
    • Year: 2023
    • Citations: 1
  • A Robust Blockchain Assisted Electronic Voting Mechanism with Enhanced Cyber Norms and Precautions
    • Authors: NV Krishnamoorthy, SM KH, C Gnanaprakasam, M Swarna, R Geetha
    • Year: 2023
    • Citations: 1