The 2nd International Conference on Mechatronics and Intelligent Control (ICMIC2024)

IEEE Senior Member, IEEE Robotics and Automation, Control Systems and Intelligent Transportation Systems Joint Chapter Chair
Areas of Expertise: Robotics, wearables, human-robot teaming, artificial intelligence, and control theory
Brief Introduction: Filippo Sanfilippo holds a PhD in Engineering Cybernetics from the Norwegian University of Science and Technology (NTNU), Norway, with a focus on intelligent control approaches for robotic manipulators. His research interests include robotics, wearables, human-robot teaming, artificial intelligence, and control theory. He is currently appointed as a Professor at the Faculty of Engineering and Science, University of Agder (UiA), Grimstad, Norway. He is also an adjunct Professor at the Faculty of Informatics, Kaunas University of Technology, Kaunas, Lithuania. He is also the Director of Science at Twilligent AS, a company that is at the forefront of creating intelligent digital twins to visualise, simulate and optimise the operation of complex facilities, production lines and processes. He carries a vast experience in participating in European research programs and various national projects from the Research Council of Norway (RCN). He is the former Chair of the IEEE Norway Section. He is also the Chair of the IEEE Robotics and Automation, Control Systems and Intelligent Transportation Systems Joint Chapter. He is currently a member of the IEEE Region 8 Chapter Coordination Committee. He is a Member of the IEEE Public Visibility Committee, of the IEEE R8 Awards & Recognitions (A&R) Committee, and of Professional and Educational Activities. He is also the Treasurer of the Norsk Forening for Kunstig Intelligens (NAIS), the Norwegian Association for Artificial Intelligence. He has authored and co-authored several technical papers in various journals and conferences. He is a reviewer and/or editor/co-editor of several international conferences and journals.
Researchgate: http://filipposanfilippo.inspitivity.com/ 

Prof., Shunli Wang, Inner Mongolia University of Technology, China
IEEE Member, Academician of the Russian Academy of Natural Sciences, IET Fellow; The World's Top 2% Scientists
Areas of Expertise: Modeling, state estimation, safety management for energy storage systems
Brief Introduction: Prof. Shunli Wang is a Doctoral Supervisor, Academic Dean, Academic Leader of the National Electrical Safety and Quality Testing Center, Academician of the Russian Academy of Natural Sciences, Provincial Senior Overseas Talent, Academic and Technical Leader of China Science and Technology City, and top 2% of top scientists in the world, who is an authoritative expert in renewable energy research. His interests include modeling, state estimation, and safety management for energy storage systems.
Researchgate: https://www.researchgate.net/profile/Shunli-Wang-3

Prof., Yongping Pan, Sun Yat-Sen University, China
IEEE Senior Member, IEEE Robotics and Automation Society Guangzhou Section Chapter Chair; The World's Top 2% Scientists
Areas of Expertise: Robotics, automatic control, machine learning
Brief Introduction: Yongping Pan is a Professor with the Sun Yat-Sen University, Shenzhen, China, and a Visiting Professor with the Nanyang Technological University, Singapore. He hold a Ph.D. degree in control theory and control engineering from the South China University of Technology, Guangzhou, China, and has over ten years of research experience in top universities in Singapore and Japan. His research interests lie in automatic control and machine learning for robotics. Dr. Pan is currenlty serving as the ChapterChair of the IEEE Robotics and Automation Society Guangzhou Section and an Associate Editor of several top-tier journals published by IEEE and IFAC. He has served as an Organizing Committee Member of four international conferences, the Lead Guest Editor of four special issues in reputable refereed journals, and the Lead Workshop Organizer of the IEEE Conference on Decision and Control. He received the Best Automation Paper Finalist at the International Conference on Robotics and Automation, the Best Conference Paper Award at the International Conference on Control and Robotics, and the Best Conference Paper Finalist at the IEEE International Conference on Advanced Robotics and Mechatronics. Furthermore, he has been recognized as a Global Highly Cited Researcher by Clarivate, a Most Cited Chinese Researcher by Elsevier, and a World Top 2% Scientist (both single year and career) by Stanford University.
Researchgate: https://www.researchgate.net/profile/Yongping-Pan 

Prof., Shashikant  Patil, ATLAS SkillTech University, Mumbai, India
IEEE /ACM Senior Member; Chair of IEEE Bombay Section Consultant's Network Affinity Group
Areas of Expertise: Image Processing, AI/ML, Data Science, Data Analytics, Deep Learning, Robotics, Mechatronics, Automation Technologies, Telecommunications
Brief Introduction: Dr. Shashikant Patil is working as a Full Professor in UGDX/ISME at ATLAS SkillTech University, Mumbai. He is a Senior Member of ACM & IEEE, Fellow Member of the Institution of Engineers India (FIE), IETE India (FIETE), IBE India (FIBE), and ISDS Japan (FISDS). With 25 years of varied experience in research, training, and teaching, he received the "Best Researcher Award 2014" from SVKM's NMIMS Shirpur. His research interests include Signal Processing and Imaging, with over 80 publications in conferences and journals. He is an IEEE Designated Reviewer, TPC Member for over 450 international conferences like ICASSP, MMSP, ICME, and ICIP, and a potential peer reviewer for Elsevier, Springer, Wiley, IEEE, InderScience, Taylor & Francis, and Hindawi journals. He has served as Editor-in-Chief for the IEEE C-RFID Newsletter, Editorial Board Member of IEEE SDN, Managing Editor of the IEEE SDN Newsletter, and IEEE RFID Steering Committee Member. He has won awards for Best LinkedIn Profile and Best Paper. In the past, he was a member of the IEEE RFID Council, Vice President (Membership Services), IEEE Panel of Editors for Newsletters and Journals member, and has served as an SIG Member of IoT. Presently, he is an Associate Editor and Editorial Member for IET and other reputed SCI Journals. Additionally, he was an Executive Member and IEEE ComSoC Chapter Chair of the IEEE Bombay Section.
Google Scholar: https://scholar.google.co.in/citations?user=bSwcbwYAAAAJ&hl=en 
Researchgate: https://www.researchgate.net/profile/Shashikant_Patil4

The World's Top 2% Scientists
Areas of Expertise: Applications of data mining; Artificial Intelligence; machine learning (including deep learning) for biomedical informatics
Brief Introduction: Vinayakumar Ravi is an Assistant Research Professor at Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. His previous position was a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. His current research interests include applications of data mining, Artificial Intelligence, machine learning (including deep learning) for biomedical informatics, Cyber Security, image processing, and natural language processing. He has more than 100 research publications in reputed IEEE conferences, IEEE Transactions and Journals. His publications include prestigious conferences in the area of Cyber Security, like IEEE S&P and IEEE Infocom. Dr. Ravi has receieved a full scholarship to attend Machine Learning Summer School (MLSS) 2019, London. He has organized a shared task on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18. He received the Chancellor's Research Excellence Award in AIRA 2021 and his name was included in the World's Top 2% Scientists by Stanford University published in PLoS Biology.
Researchgate: https://vinayakumarr.github.io/