Pingqing Fan | Precision actuating | Best Researcher Award

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Prof Dr. Pingqing Fan | Precision actuating | Best Researcher Award

Prof Dr. Pingqing Fan, Shanghai University of Engineering Science, China

“Prof. Dr. Pingqing Fan is a renowned expert in the field of materials science and engineering. Currently serving as a professor at Shanghai University of Engineering Science, China, Dr. Fan has made significant contributions to the development of advanced materials and technologies. His research focuses on the design, synthesis, and characterization of functional materials, with applications in energy storage, conversion, and environmental sustainability.”

Profile

Orcid

Educational Qualification📚

Pingqing Fan’s academic journey is marked by her dedication to excellence and a focus on engineering innovation. She earned her Ph.D. from Shanghai University, where she cultivated her expertise in mechanical and automotive engineering. Her early studies laid a solid foundation in piezoelectric drive theory and bionic robotics, areas that have become central to her career.

Pingqing’s passion for research blossomed during her doctoral studies, where she began to explore the complexities of precision actuating and bionic systems. Her academic foundation has not only driven her own research but also inspired her teaching, making her a respected figure in academia.

Professional Endeavors 💼

Currently a professor and research supervisor at the School of Mechanical and Automotive Engineering at Shanghai University of Engineering Science, Pingqing Fan has dedicated her career to both teaching and groundbreaking research. She is also actively involved in consultancy projects and collaborations with industrial giants like the Western Institute of Computing Technology and CATARC Automotive Test Center.

Her professional roles extend beyond academia to influential positions in professional societies. As a senior member of the China Society of Automotive Engineers and a committee member of its Off-Road Vehicle Technology Branch, she contributes to shaping the future of automotive engineering in China.

Contributions and Research Focus 🔬

Key Research Areas:

  • Piezoelectric Drive Theory: Pingqing has advanced the understanding of high-energy density piezoelectric actuators, paving the way for innovations in precision motion systems.
  • Bionic Robotics: Her research in biomimicry has led to the development of robotics inspired by natural forms, blending engineering precision with biological ingenuity.
  • Precision Actuating Systems: Her work in precision actuators ensures enhanced performance in various industrial applications.

Major Contributions:

Pingqing Fan has spearheaded over 16 consultancy and industry projects, emphasizing the practical application of her research. Her innovative platform for developing electronic water pump controllers for vehicles highlights her commitment to sustainable and efficient automotive solutions.

With 21 published journal articles in esteemed platforms like SCI and Scopus, her work has received widespread recognition, with 465 citations showcasing its impact on the global academic community. Furthermore, she has filed 12 patents, reflecting her ability to translate theoretical knowledge into practical inventions.

Accolades and Recognition 🏆

Pingqing’s achievements have earned her a distinguished reputation in both academia and industry. Her leadership in projects funded by the Shanghai Natural Science Foundation and the Shanghai Automobile Industry Development Fund underscores the value of her contributions.

Her book, identified by ISBN 9787302356035, serves as a vital resource for students and professionals, further cementing her status as a thought leader. As an Academic Bridge Evaluation Expert, she has shaped evaluation criteria that influence academic and industrial practices.

Publication Top Notes 📄

A resonant quadruped piezoelectric robot inspired by human butterfly swimming patterns

Contributors: Jiateng Shi; Pingqing Fan; Jie Liu
Journal: Ultrasonics
Year: 2025

Research on robot path planning by integrating state-based decision-making A* algorithm and inertial dynamic window approach

Contributors: Shun Xing; Pingqing Fan; Xipei Ma; Yansong Wang
Journal: Intelligent Service Robotics
Year: 2024

A novel high energy density single-phase linear piezoelectric motor: design and experiment

Contributors:  佳腾 石; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Ferroelectrics
Year: 2024

A miniature longitudinal-bending hybrid linear ultrasonic motor inspired by the planar hinged five bar mechanism

Contributors: WeiPeng Bi; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Review of Scientific Instruments
Year: 2023

A novel thin single-phase drive linear ultrasonic motor

Contributors: Yangyang Ge; Xipei Ma; Pingqing Fan; Hu; Tao Yuan; Yansong Wang
Journal: Review of Scientific Instruments
Year: 2023

 

Pritisha Sarkar | Computer Science | Young Scientist Award

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Ms. Pritisha Sarkar | Computer Science | Young Scientist Award

Research scholar at NIT Durgapur, India.

Ms. Pritisha Sarkar is a dedicated researcher specializing in machine learning and deep learning within the realm of computer science. Her expertise spans conducting thorough literature reviews, designing and implementing experiments, and analyzing data using statistical methods and programming languages like Python, R, and Java. She applies advanced algorithms to solve complex problems in areas such as natural language processing and computer vision. Collaborative and innovative, Pritisha excels in interdisciplinary environments, contributing effectively to research teams. She communicates her findings effectively through scholarly publications and presentations, demonstrating a commitment to advancing knowledge and technology in her field.

Professional Profiles:

Education

Ms. Pritisha Sarkar is currently pursuing her Ph.D. in Computer Science at NIT Durgapur, focusing on machine learning and deep learning. She completed her B.Tech in Information Technology from the Government College of Engineering and Leather Technology under M.A.K.A.U.T, Kolkata, graduating in 2016 with a DGPA of 7.84. Continuing her academic journey, she pursued an M.Tech in Computer Science at the National Institute of Technical Teachers’ Training & Research, Kolkata, graduating in 2018 with a DGPA of 8.15. Pritisha’s educational background highlights her dedication to advancing her expertise in computer science, particularly in machine learning and deep learning.

Research Interest

Ms. Pritisha Sarkar’s research interests encompass machine learning and deep learning, particularly focusing on advanced algorithms, neural networks, and their applications in areas such as natural language processing, computer vision, and data analytics. Her academic pursuits and ongoing Ph.D. research at NIT Durgapur underscore her commitment to exploring these technologies and their practical implementations.

Research Skills

Ms. Pritisha Sarkar excels in a wide array of research skills cultivated throughout her academic and professional journey. Her expertise includes conducting comprehensive literature reviews to discern existing research trends and identify areas for exploration. She is adept at designing and executing experiments to validate hypotheses and advance scientific knowledge. Proficient in data analysis using statistical methods and programming languages like Python, R, and Java, she applies these skills to extract meaningful insights from complex datasets. Specializing in machine learning and deep learning, Pritisha employs advanced algorithms to address intricate challenges in domains such as natural language processing and computer vision. Her problem-solving abilities and analytical mindset enable her to innovate and develop impactful solutions. Collaborative by nature, she thrives in interdisciplinary environments, contributing effectively to research teams. Pritisha communicates her findings with clarity and precision through scholarly papers, presentations, and discussions, ensuring her research makes a significant impact in the field of computer science.

Publications

  • Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Volume: 16
    • Issue: 5
    • Pages: 2981–2985
  • Machine learning-based detection of sudden air pollutant level changes: impacts on public health
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Article in Press
  • Impact of bursting fireworks during Diwali in Durgapur suburb, India: A case study
    • Authors: P. Sarkar, M.K. Makkena, A. Bose, S. Saha, M. Saha
    • Conference: ACM International Conference Proceeding Series
    • Year: 2023
    • Pages: 384–389
    • Citations: 2
  • Analyzing the Severity of Air Pollution in an Industrialized Suburb
    • Authors: P. Sarkar, M.K. Makkena, S. Saha, M. Saha
    • Conference: 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023)
    • Year: 2023
  • City-wide Spatio-temporal Effect on AQI
    • Authors: P. Sarkar, S. Ahmed, A. Bose, S. Saha, M. Saha
    • Conference: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022)
    • Year: 2022
    • Pages: 13–18
    • Citations: 2
  • Nature-Inspired Computing Behaviour of Cellular Automata
    • Authors: M. Ghosh, P. Sarkar, M. Saha
    • Book: Lecture Notes in Electrical Engineering
    • Year: 2021
    • Volume: 694
    • Pages: 137–149
    • Citations: 1
  • An Intelligent Technique to Find Bicliques and its Application to Optimum Matching Problem
    • Authors: P. Sarkar, K. Giri
    • Conference: International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE 2020)
    • Year: 2020
    • Article ID: 9077790
    • Citations: 1

 

King-Ning TU | Advanced Materials Engineering | Excellence in Research

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Prof Dr. King-Ning TU | Advanced Materials Engineering | Excellence in Research

Chair Professor at City University of Hong Kong, Hong Kong.

Prof. Dr. King-Ning Tu is a distinguished academic and researcher in materials science and engineering. He completed his education with a B.Sc. in Mechanical Engineering from National Taiwan University, an M.Sc. in Materials Science from Brown University, and a Ph.D. in Applied Physics from Harvard University. Throughout his illustrious career, Dr. Tu has held notable positions such as Professor and Chair of the Department of Materials Science and Engineering at UCLA, TSMC Chair Professor at National Chiao Tung University, and Chair Professor at City University of Hong Kong. His research focuses on electronic thin films, solder joint technology, and nanoscale materials, with significant contributions to these fields. Dr. Tu is recognized as a Fellow of prestigious societies like the American Physical Society and the Materials Research Society. He has authored several influential textbooks and received numerous awards for his outstanding contributions to materials science and engineering.

Professional Profiles:

Education

Prof. Dr. King-Ning Tu obtained his foundational education in Mechanical Engineering with a B.Sc. degree from National Taiwan University in Taiwan, which he completed in 1960. He then pursued further studies in the United States, earning an M.Sc. in Materials Science from Brown University in Providence, RI, in 1964. Continuing his academic journey, he completed his Ph.D. in Applied Physics at Harvard University in Cambridge, MA, in 1968. These educational milestones equipped him with a comprehensive understanding of mechanical engineering, materials science, and applied physics, forming the bedrock of his illustrious career in research and academia.

Professional Experience

Prof. Dr. King-Ning Tu has had a distinguished career spanning several prestigious institutions and roles in the field of materials science and engineering. He began as a Research Staff Member at IBM T. J. Watson Research Center, where he later became the 3rd Level Manager of the Materials Science Department. Over the years, he held significant academic positions, including Adjunct Professor at Cornell University and Professor and Chair at UCLA’s Department of Materials Science and Engineering. His contributions extended internationally, serving as the TSMC Chair Professor at National Chiao Tung University in Taiwan and as a Chair Professor at City University of Hong Kong. Tu’s research interests have focused on metal-silicon reactions, nanowires, and electronic packaging technology. He has authored several influential textbooks and received numerous honors, including fellowship in prestigious societies and awards for his research contributions to materials science and engineering.

Research Interest

Prof. Dr. King-Ning Tu is a distinguished figure in the field of materials science and engineering, celebrated for his extensive contributions spanning several decades. He began his illustrious career as a research staff member at IBM T. J. Watson Research Center, where he later rose to the position of 3rd Level Manager of the Materials Science Department. His tenure at IBM was marked by pioneering research in areas such as metal-silicon reactions, solder joint technology, and electromigration in nanowires. Over the years, Prof. Tu held significant academic appointments, including as Professor and Chair of the Department of Materials Science and Engineering at UCLA, and as a Distinguished Professor of Electrical Engineering. He also served as the TSMC Chair Professor at National Chiao Tung University and as a Chair Professor at City University of Hong Kong. Throughout his career, he has authored numerous influential textbooks and research papers that have advanced our understanding of electronic materials and their reliability in various applications. Prof. Tu’s work continues to inspire and guide researchers in the field worldwide.

Award and Honors

Prof. Dr. King-Ning Tu has garnered a wealth of accolades throughout his illustrious career in materials science and engineering. His contributions have been widely recognized by prestigious institutions and organizations worldwide. He was elected as a Fellow of the American Physical Society in 1981 and The Metallurgical Society in 1988. Serving as President of the Materials Research Society in 1981 and later being named a Fellow in 2010 further exemplifies his leadership in the field. Prof. Tu was honored with the Humboldt Research Award for Senior US Scientists in 1996 and appointed as a Royal Society/Kan Tong Po Visiting Professor at City University of Hong Kong in 2002. His election as an Academician of Academia Sinica, Taiwan, in 2002, and receipt of the TMS Electronic, Magnetic, and Photonic Materials Division Distinguished Scientist Award in 2007 highlight his profound impact on the discipline. More recently, he received the IEEE Components, Packaging, and Manufacturing Technology Award in 2017, underscoring his ongoing influence and contributions to the field.

Research Skills

Prof. Dr. King-Ning Tu is renowned for his extensive research contributions in materials science and engineering, spanning over several decades. His career began as a research staff member at IBM T. J. Watson Research Center, where he later served as the 3rd Level Manager of the Materials Science Department. Throughout his academic journey, Prof. Tu held significant positions including Adjunct Professor at Cornell University, Professor and Chair at UCLA’s Department of Materials Science and Engineering, and Distinguished Professor at UCLA’s Department of Electrical Engineering. His international engagements include roles as the TSMC Chair Professor at National Chiao Tung University in Taiwan, E-Sun scholar, and Chair Professor at City University of Hong Kong. Prof. Tu’s research focuses on diverse areas such as metal-silicon reactions, solder joint technology, and nanoscale materials’ kinetics and reliability. His leadership, mentorship, and prolific publication record have profoundly influenced the field, making him a pivotal figure in advancing materials science globally.

Publications

  1. Influence of Sn grain orientation on mean-time-to-failure equation for microbumps in 3D IC technology
    • Authors: Yao, Y.; Gusak, A.M.; Chen, C.; Liu, Y.; Tu, K.N.
    • Journal: Scripta Materialia
    • Year: 2024
    • Citations: 0
  2. Mechanical characterizations of η′-Cu6(Sn, In)5 intermetallic compound solder joint: Getting prepared for future nanobumps
    • Authors: Mao, X.; An, Y.; Chen, Y.; Tu, K.-N.; Liu, Y.
    • Journal: Journal of Materials Research and Technology
    • Year: 2024
    • Citations: 0
  3. Microstructure and Intermetallic Growth Characteristics of Sn-Bi-In-xGa Quaternary Low Melting Point Solders
    • Authors: Qiao, J.; Mao, X.; Tu, K.-N.; Liu, Y.
    • Conference: 2024 International Conference on Electronics Packaging, ICEP 2024
    • Year: 2024
    • Citations: 0
  4. Coupling effect between electromigration and joule heating on the failure of ball grid array in 3D integrated circuit technology
    • Authors: Yao, Y.; An, Y.; Tu, K.N.; Liu, Y.
    • Journal: Journal of Materials Research and Technology
    • Year: 2024
    • Citations: 0
  5. Elements of Electromigration: Electromigration in 3D IC Technology
    • Authors: Tu, K.-N.; Liu, Y.
    • Book: Elements of Electromigration: Electromigration in 3D IC Technology
    • Year: 2024
    • Citations: 0
  6. Measurement of Thermal Stress by X-ray Nano-Diffraction in (111)-Oriented Nanotwinned Cu Bumps for Cu/SiO2 Hybrid Joints
    • Authors: Hsu, W.-Y.; Yang, S.-C.; Lin, Y.-Y.; Chiang, C.-Y.; Chen, C.
    • Journal: Nanomaterials
    • Year: 2023
    • Citations: 1
  7. Electromigration in three-dimensional integrated circuits
    • Authors: Shen, Z.; Jing, S.; Heng, Y.; Tu, K.N.; Liu, Y.
    • Journal: Applied Physics Reviews
    • Year: 2023
    • Citations: 12
  8. To suppress thermomigration of Cu–Sn intermetallic compounds in flip-chip solder joints
    • Authors: Huang, Y.-R.; Tran, D.-P.; Hsu, P.-N.; Tu, K.N.; Chen, C.
    • Journal: Journal of Materials Research and Technology
    • Year: 2023
    • Citations: 6
  9. Comparison between bulk and particle solder alloy on the performance of low-melting solder joints
    • Authors: Yang, M.; Zhao, X.; Huo, Y.; Tu, K.-N.; Liu, Y.
    • Journal: Journal of Materials Research and Technology
    • Year: 2023
    • Citations: 2
  10. Synergistic Effect of Current Stressing and Temperature Cycling on Reliability of Low Melting Point SnBi Solder
    • Authors: Shen, Z.; An, Y.; Xiong, Z.; Tu, K.-N.; Liu, Y.
    • Conference: 2023 24th International Conference on Electronic Packaging Technology, ICEPT 2023
    • Year: 2023
    • Citations: 0