The 3rd International Conference on Mechatronics and Intelligent Control (ICMIC2025)

Prof., Kun Zhang, Hainan Normal University, China 
IEEE / CIE Senior Member; ACM / CCF Member
Areas of Expertise: Key technologies of ultra-wideband communication, Marine information transmission and perception, computer application technology, cyberspace security, intelligent data analysis and data mining
Brief Introduction: Hainan Normal University's School of Information Science and Technology, Department of Cybersecurity: professor, Ph.D., doctoral supervisor, Hainan Province high-level talent "Top Talent", Hainan Province " Nanhai Masters" youth project talent, Hainan Province "515" Engineering Talent Project third level candidate, Hainan Province Science and Technology expert, Guangdong Province Science and Technology expert, Guangxi Science and Technology expert, Sanya Municipal Party Committee key expert, CCF (China Computer Federation) senior member, CCF Computer Application Professional Committee executive member, CIE (Chinese Institute of Electronics) senior member, IEEE member, ACM member; presided over more than 40 vertical and horizontal projects, including National Natural Science Foundation projects, Hainan Provincial Natural Science Foundation, Hainan Provincial Key R&D Plan projects; published over 200 papers, of which more than 30 are SCI-indexed; obtained 17 national invention patents and 2 international invention patents; serves as an editorial board member of the SCI journal Physical Communication and editor-in-chief of the international journal Distributed Processing System; won 1 first prize and 1 second prize in Hainan Provincial Science and Technology Progress Awards.
Researchgate:  https://xxxy.hainnu.edu.cn/2023/0419/c1134a122845/page.htm 

Dr., Alexey Nekrasov, Southern Federal University, Russia
Areas of Expertise: Information Technology and Security; Electrical Engineering; Remote Sensing; Scattering from Rough Surfaces; Radar System Design.
Brief Introduction: Alexey Nekrasov received the diploma in radio engineering, the Ph.D. degree (Candidate of Technical Science) and the academic title of Associate Professor from Taganrog State University of Radio Engineering (TSURE), Taganrog, Russia, in 1991, 1998, and 2000, respectively. From 1991 to 1999, he was an Assistant Professor of the Department of Radio Receiver Equipment and Television at the TSURE. In 1994-2007, he also has worked as a Researcher in the Sea and Land Remote Sensing Group. From 1999 to 2007, he was an Associate Professor at the Department of Radio-Electronic Facilities of Protection and Service, and since 2007, he has been an Associate Professor at the Department of Security of Information Technologies, and a Senior Scientist of the Institute for Information Technologies and Information Security of the Southern Federal University (ICTIS SFedU, former TSURE). He is an expert of the Russian Academy of Science, and an expert of the Russian Science Foundation. He has received research fellowships from 12 universities in different countries.

Prof., Fang Hu, Hubei University of Chinese Medicine, China
IEEE / CCF Senior Member
Areas of Expertise: Graph Machine Learning; Mobile Computing; Blockchain; Big Data Analytic
Brief Introduction: Fang Hu received her Ph.D. in 2015 from the School of Computers, Central China Normal University, Wuhan, China. Dr. Hu worked at the University of West Florida as a postdoctoral researcher in the Department of Mathematics and Statistics during 2018-2019. Dr. Hu is currently a Full Professor at the College of Information Engineering, Hubei University of Chinese Medicine. She is an IEEE Senior Member, a China Computer Federation (CCF) Senior Member, the Website Chair of the IEEE Computer Society Big Data STC, the Executive Committee of the China Computer Federation (CCF) on Pervasive Computing, the Communication Committee of the Chinese Institute of Electronics' Youth Professional Technical Committee of the Internet of Things, etc. She is a Guest Editor or Reviewer for over 80 SCI journals, such as IEEE Transactions on Network Science and Engineering, IEEE Systems Journal, etc. She is a Technical Program Committee and Program Committee for over 10 international conferences, such as EIIE, ISHCI, ICMIC, ISAIR, ICBSB, ICPMS, etc. She served as a keynote speaker at ICPHMS 2021, EEIE 2022, ICITBT 2022, MCCE 2023, EEIE 2023, ICMIC 2023, EEIT 2023, etc. As the first or corresponding author, she has published over 40 prestigious conference and journal articles, including over 20 SCI-indexed and over 10 EI-indexed papers.

Prof., Shiling Zhang, State Grid Chongqing Electric Power Company, China
Top 1% of highly cited scholars in CNKI
Areas of Expertise: High voltage and insulation technology; intelligent data mining and digital twin.
Brief Introduction: Shiling Zhang is currently the editorial board member of the Chinese core journal "Insulation Materials" of Peking University and "Electrical Technology". He was awarded by IEEE Power & Energy Society China Technical Council as the “Power System Instrumentation & Measurement Satellite Committee- China” and “Innovative Sensing domestic and foreign and Monitoring Techniques Subcommittee” director. He also serves as the director of the IEEE New Sensing and Monitoring Technology Sub-Committee, and has won the Youth Medal of State Grid Chongqing Electric Power Company, the Outstanding Communist Party Member of State Grid Chongqing Electric Power Company, and the Youth Supporting Science and Technology of State Grid Company 2022 (a total of 50 people nationwide were selected as Chongqing Young Outstanding Talents in 2021).
Researchgate: https://xueshu.baidu.com/scholarID/CN-BJGDGQEK 

Prof., Zhaohua Liu, Hunan University of Science and Technology, China 
IEEE Senior Member
Areas of Expertise: Intelligent monitoring and control of new energy equipment, wind power artificial intelligence, artificial intelligence and machine learning, intelligent fault diagnosis.
Brief Introduction: Zhaohua Liu received the M.Sc. degree in computer science and engineering, and the Ph.D. degree in automatic control and electrical engineering from Hunan University, Changsha, China, in 2010 and 2012, respectively. During 2015–2016, he was a Visiting Researcher with the Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U.K. He is currently a Professor of Control and Systems Engineering with the School of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, China. He was a selected as a Hu-Xiang Excellent Young Talents of Hunan Province of China in 2018.His current research interests include computational intelligence and learning algorithms design, parameter estimation and control of permanent-magnet synchronous machine drives, and condition monitoring and fault diagnosis for electric power equipment. Dr. Liu has published a monograph in the field of Biological immune system inspired hybrid intelligent algorithm and its applications, Big data intelligent analysis and advanced computing , and authored and co-authored more than 60 research papers in refereed journals and conferences, including IEEETRANSACTIONS/JOURNAL/MAGAZINE. He is a regular reviewer for several international journals and conferences.
Researchgate: https://xinxi.hnust.edu.cn/szdw/zdhx/1bbc2adafa9e4f6296c7ac0af768c9e1.htm

Dr., Vinayakumar Ravi, Prince Mohammad Bin Fahd University, Saudi Arabia
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/

Prof. Qingsheng Zeng, Université du Québec an Outaouais (UQO), Canada
IEEE Senior Member
Areas of Expertise: Analysis and design of aircraft antennas, electromagnetic compatibility and interference (EMC/EMI), ultrawideband technology, radio wave propagation, computational electromagnetics
.Brief Introduction: Qingsheng Zeng received his Ph.D. from University of Ottawa, Canada, and is currently a professor and PhD advisor of Université du Québec an Outaouais (UQO), an adjunct professor and PhD advisor of University of Ottawa, Carleton University, and Institut National de la Recherche Scientifique -- Centre Energie, Matériaux et Télécommunications (INRS-EMT). He has been a research engineer and a senior research engineer at Communications Research Centre Canada (CRC), Government of Canada. Dr. Zeng has undertaken research and teaching in several fields, including analysis and design of aircraft antennas, electromagnetic compatibility and interference (EMC/EMI), ultrawideband technology, radio wave propagation, computational electromagnetics. He has been the Chair of AP (Antennas and Propagation) / MTT (Microwave Theory and Techniques) Joint Chapter and Secretary of EMC (Electromagnetic Compatibility) Chapter of IEEE Ottawa, a Member of IEEE Canada Industry Relations Committee, and a senior member of IEEE. Dr. Zeng has been a member of the Strategic Projects Grant (SPG) Selection Panel (Information and Communications Technologies B) for the Natural Sciences and Engineering Research Council of Canada (NSERC), a member of Site Visit Committee of NSERC Industrial Research Chair (IRC), and a reviewer of NSERC Industrial R&D Fellowships.
He has published more than 200 SCI and EI indexed papers and technical reports, authored one book and co-authored two book chapters. His work on the project “Aggregate Interference Analysis and Suitability of Some Propagation Models to Ultra-wideband Emissions in Outdoor Environments” has formed one part of Consultation Paper on the Introduction of Wireless Systems Using Ultra Wideband Technology, Spectrum Management and Telecommunications Policy, Industry Canada, and has been taken as a significant contribution to International Telecommunication Union (ITU). Dr. Zeng has been serving as an editorial board member and a reviewer for a number of technical books and scientific journals, as a conference co-chair, a session chair and organizer, a technical program committee co-chair and member and a reviewer, a short course/workshop/tutorial presenter and a keynote speaker for many international and national symposia. He has won several technical and technical service awards, was ranked as one of the researchers at Communications Research Centre Canada with the strongest impacts in 2011, selected as a distinguished expert under the Plan of Hundreds of Talents of Shanxi Province in China during 2015, an oversea prestigious advisor in Guangdong Province twice in 2017 and in 2019, a Huashan Mountain Scholar Chair Professor of Xidian University in 2020, and a distinguished expert for HOME Program of China Association for Science and Technology in January 2023, was elected as a member of the Council of the Academicians and Experts Association of Jilin Province in December 2023.

Prof., Lu Leng, Nanchang Hangkong University, China 
IEEE / CCF / ACM / CSIG / CAAI Member
Areas of Expertise: Computer vision, biometric template protection and biometric recognition.
Brief Introduction: Lu Leng received his Ph.D degree from Southwest Jiaotong University, Chengdu, P. R. China, in 2012. He performed his postdoctoral research at Yonsei University, Seoul, South Korea, and Nanjing University of Aeronautics and Astronautics, Nanjing, P. R. China. He was a visiting scholar at West Virginia University, USA, and Yonsei University, South Korea. Currently, he is a full professor at Nanchang Hangkong University.. Prof. Leng has published more than 100 international journal and conference papers, including about 70 SCI papers and three highly cited papers. He has been granted several scholarships and funding projects, including five projects supported by National Natural Science Foundation of China (NSFC). He serves as a reviewer of more than 100 international journals and conferences. His research interests include computer vision, biometric template protection and biometric recognition. Prof. Leng is an outstanding representative of "Innovation Talent" of Jiangxi Enterprise in "Science and Technology China" in 2021, received "Jiangxi Youth May Fourth Medal" in 2019, "Jiangxi Hundred-Thousand-Ten-thousand Talent Project" in 2018, "Jiangxi Voyage Project" in 2014, etc.

Prof., Maode Ma, Qatar University, Qatar 
IET Fellow, IEEE Senior Member, ACM Singapore Chapter Chair
Areas of Expertise: Network security and wireless networking.
Brief Introduction: Maode Ma, received his Ph.D. degree from the Department of Computer Science at the Hong Kong University of Science and Technology in 1999. Now, Prof. Ma is a Research Professor in the College of Engineering at Qatar University in Qatar. He has extensive research interests including network security and wireless networking. He has over 500 international academic publications including over 250 journal papers and about 250 conference papers. His publication has received more than 10,000 citations in Google Scholar. Prof. Ma currently serves as the Editor-in-Chief of the International Journal of Computer and Communication Engineering and the Journal of Communications. He also serves as a Senior Editor for IEEE Communications Surveys and Tutorials, and an Associate Editor for the International Journal of Wireless Communications and Mobile Computing and the International Journal of Communication Systems. Prof. Ma is a senior member of the IEEE Communication Society and a member of ACM. He is now the Chair of the ACM, Singapore Chapter. Prof. Ma has been a Distinguished Lecturer for the IEEE Communication Society from 2013 to 2016 and from 2023 to 2024.

Prof., Loc Nguyen, Loc Nguyen's Academic Network, Vietnam
Areas of Expertise: Computer science, statistics, mathematics, and medicine
Brief Introduction: Loc Nguyen is an independent scholar from 2017. He holds Master degree in Computer Science from University of Science, Vietnam in 2005. He holds PhD degree in Computer Science and Education at Ho Chi Minh University of Science in 2009. His PhD dissertation was honored by World Engineering Education Forum (WEEF) and awarded by Standard Scientific Research and Essays as excellent PhD dissertation in 2014. He holds Postdoctoral degree in Computer Science from 2013, certified by Institute for Systems and Technologies of Information, Control and Communication (INSTICC) by 2015. He is volunteer of Statistics Without Borders from 2015. He was granted as Mathematician by London Mathematical Society for Postdoctoral research in Mathematics from 2016. He is awarded as Professor by SciencePG from 2016. He was awarded Doctorate of Statistical Medicine by Ho Chi Minh City Society for Reproductive Medicine (HOSREM) from 2016. He was awarded and glorified as contributive scientist by International Cross-cultural Exchange and Professional Development-Thailand (ICEPD-Thailand) from 2021 and by Eudoxia Research Centre India from 2022. He has published 86 papers and preprints in journals, books and conference proceedings. He is author of 5 scientific books. He is author and creator of 9 scientific and technological products.

Prof., Xiaodong Liu, Edinburgh Napier University, UK
IEEE Senior Member
Areas of Expertise: Pervasive computing, Internet of Things, service-oriented architecture, evolution of cloud services, and intelligence-driven Cyber-Physical Systems

Prof., Filippo Sanfilippo, University of Agder (UiA), Norway
IEEE Senior Member, Chair of the IEEE Robotics and Automation, Control Systems and Intelligent Transportation Systems Joint Chapter
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 an IEEE Senior Member. 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. Muazzam Ali Khan Khattak, Quaid-i-Azam University, Islamabad, Pakistan 
IEEE Senior Member

Areas of Expertise: Data Science, Artificial intelligence and machine learning
Brief Introduction: Prof. Dr. Muazzam Ali Khan Khattak is working as Tenured Professor and Director ICESCO Chair Data Analytics and Edge Computing at Department of Computer Sciences, Quaid-i-Azam University, Islamabad. He is an outstanding faculty member of computer science department and have made significant contributions in research and designing advance computing courses on most modern lines for the syllabi of PhD, Master’s and Bachelor in Computer Science programs at Higher Education Commission Pakistan, National University of Sciences & Technology, Islamabad, (NUST), Department of Computing, NUST SEECS, NUST College of Electrical & Mechanical Engineering (CEME) and Department of Computer Science, Abdul Wali Khan University, Mardan. Currently his personal endeavors have been vitally instrumental in transforming department of computer science into a regional center of excellence to offer state-of-the-art indigenous research and academic services to the nation. Earlier Dr. Khattak served as Associate Dean of Computing Department at NUST School of Electrical Engineering and Computer Science (SEECS) 2017-2020, Post graduate Head, Department of Computer Engineering, NUST CEME 2013-2016 and Chair Department of Computer Science, AWKU, Mardan 2012-2013. During his tenure as Associate Dean Computing (S-HoD), NUST, the computer science program attained the top position at national level and 138th position at international level. 

Dr. Khattak started new degree programs of MS and PhD in Data Science, Artificial intelligence and machine learning. He also played a vital role in establishment of Computer Science Department at NUST Quetta Campus and at AWK University Mardan. Dr. Khattak contributed and also led cutting edge scientific research projects imbued with sound potential for national progress. He is credited with establishing research collaboration with many international universities such as School of Computing & Electrical Engineering (SCE), University of Missouri, Kansas City (UMKC), USA, Institute of Distributed Systems, University of Ulm, Germany, Kansas State University, Kansas USA, The Korea Advanced Institute of Science and Technology (KAIST), Korea, Linnaeus University (LNU), Sweden and Kazakh British Technical University, Kazakhstan. He carried out his PhD research and Postdoc Research Fellowship at University of Missouri Kansas City (UMKC), USA and International Islamic University, Islamabad. Despite his involvement in multiple professional and administrative activities he has copiously contributed to prestigious scientific journals, seminars/conferences both at national/international levels, and has 170 research papers with more than 300 Impact factor and book chapters to his credit having 2460+ citations. He also organized many international Conferences such as C-CODE-2017, HONET-ICT 2018, C-CODE 2019, HONET-ICT 2019, HONET-ICT 2020, HONET-ICT 2021 and HONET-ICT 2022.