Speakers of CNIOT 2023

Keynote Speaker:

Prof. Robert Minasian
IEEE Life Fellow, OSA Fellow, Fellow of The Royal Society of NSW
The University of Sydney, Australia

Biography: Professor Minasian is a Chair Professor with the School of Electrical and Information Engineering. His research has made key contributions to microwave photonics, and he is internationally renowned as a world leader in the field of photonic signal processing. He is recognized as an author of one of the top 1% most highly cited papers in his field worldwide. Professor Minasian has contributed over 400 research publications, including Invited Papers in the IEEE Transactions and Journals. He has presented 83 Plenary, Keynote and Invited Papers at leading international conferences. He has served on numerous steering and technical committes of international conferences. He is the Founding Director of the Fibre-optics and Photonics Laboratory. Professor Minasian was the recipient of the ATERB Medal. He is a Life Fellow of the IEEE, a Fellow of the Optical Society of America, and a Fellow of The Royal Society of NSW.

 

Keynote Speaker:

Prof. David Yongduan Song
Fellow of IEEE, Fellow of International Eurasian Academy of Sciences, Fellow of Chinese Automation Association
Chongqing University, China

Biography: David Yongduan Song, Fellow of IEEE, Fellow of International Eurasian Academy of Sciences, Fellow of Chinese Automation Association.He received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, TN, USA, in 1992. He held a tenured full professor position with North Carolina Agricultural and Technical State University, Greensboro, NC, USA, from 1996 to 2008, and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, USA, from 2005 to 2008. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), and the Founding Director of the Center for Cooperative Systems with NIA. He is currently the Dean of the School of Automation, Chongqing University, Chongqing, China, and the Founding Director of the Institute of Smart Engineering, Chongqing University.

Dr. Song is a leading researcher in neural networks (NN) based adaptive control, significantly contributing to both NN theory methods and engineering applications. He is very active as associate editors for top IEEE journals, including IEEE Trans. on Neural Networks, IEEE Trans. on Automatic Control, IEEE Trans. Systems, Man, and Cybernetics, IEEE Trans. on Intelligent Transportation Systems, IEEE Trans. on Cognitive and Developmental Systems. As a scientific leader in the field of systems and control, he has been serving on various national and international technical committees.

Prof. Song has made original contributions in neural network adaptive control of nonlinear systems with real world applications, which can be assessed by his publications (over 200 papers) in prestigious international journals, including IEEE T-NNLS, IEEE T-FS, IEEE T-SMC, IEEE T-Cybernetics, IEEE T-AC, IEEE T-IE and Automatica. He authored/co-authored 11 books in the field of control and artificial intelligence. He also held over 50 patents, and has given numerous keynote speeches and invited talks, chaired several conferences.

 

 

Plenary Speaker:

Prof. Witod Pedrycz
IEEE Life Fellow
University of Alberta, Canada

Biography: Witold Pedrycz received the M.Sc. degree in computer science, the Ph.D. degree in computer engineering, and the D. Sci. degree in systems science from the Silesian University of Technology, Gliwice, Poland, in 1977, 1980, and 1984, respectively. He is a Professor and the Canada Research Chair of computational intelligence with the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, AB, Canada. He is also with the System Research Institute, Polish Academy of Sciences, Warsaw, Poland. He has authored 15 research monographs covering various aspects of computational intelligence, data mining, and software engineering. His current research interests include computational intelligence, fuzzy modeling, granular computing, knowledge discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and software engineering., Prof. Pedrycz was a recipient of the IEEE Canada Computer Engineering Medal, the Cajastur Prize for Soft Computing from the European Center for Soft Computing, the Killam Prize, and the Fuzzy Pioneer Award from the IEEE Computational Intelligence Society. He is intensively involved in editorial activities. He is an Editor-in-Chief of Information Sciences, WIREs Data Mining and Knowledge Discovery (Wiley), and the International Journal of Granular Computing (Springer). He currently serves as a member of a number of editorial boards of other international journals and is a Former Editor-in-Chief of IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans. He is a Foreign Member of the Polish Academy of Sciences. He is a Fellow of the Royal Society of Canada.(Based on document published on 25 December 2020).

 

Plenary Speaker:

Prof. Yudong Zhang
Fellow of IET, Fellow of EAI, and Fellow of BCS
University of Leicester, UK

Biography: Prof. Yudong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis.
He is the Fellow of IET, Fellow of EAI, and Fellow of BCS. He is the Senior Member of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He won the Emerald Citation of Excellence 2017 and MDPI Top 10 Most Cited Papers 2015. He is included in Top Scientist in Research.com. He has (co)authored over 400 peer-reviewed articles in the journals JAMA Psychiatry, Inf Fus, IEEE TFS, IEEE TII, IEEE TIP, IEEE TMI, IEEE IoTJ, Neural Networks, IEEE TITS, Pattern Recognition, IEEE TGRS, IEEE JBHI, IEEE TCSVT, IEEE TETCI, IEEE TCSS, IEEE JSTARS, IEEE TNSRE, IEEE Sensors J, ACM TKDD, ACM TOMM, IEEE/ACM TCBB, IEEE TCAS-II, IEEE JTEHM, ACM TMIS, etc. There are more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers in his (co)authored publications.
His citation reached 21143 in Google Scholar (h-index 81) and 12418 in Web of Science (h-index 61). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, Hope, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops. His research outputs have been reported by more than 50 news press, such as Reuters, BBC, Telegraph, Physics World, UK Today News, EurekAlert! Science News, India Times, Association of Optometrists (AOP) news, Medical Xpress, HospiMedica, Newsroom Odisha, etc.

 

Plenary Speaker:

Prof. Zhaolong Ning
Chongqing University of Posts and Telecommunications, China

Biography: Zhaolong Ning received the PhD degree from Northeastern University, China in 2014. He was a research assistant with Kyushu University from 2013 to 2014, Japan, and a Hong Kong Scholar with The University of Hong Kong from 2019 to 2021. Currently, he is a full professor at the Chongqing University of Posts and Telecommunications, China. His research interests include Internet of Things, mobile edge computing, and network optimization. He has published more than 120 scientific papers in international journals and conferences, such as IEEE JSAC, IEEE TMC, IEEE TPDS, IEEE T-ITS, IEEE COMST, IEEE COMMAG, IEEE Wireless Communications, and so on. He is the recipient of several prestigious awards including the Best Land Transportation Paper Award of IEEE TVT 2020, Best Paper Award of IEEE Systems Journal 2019 and so on. He serves as an associate editor or guest editor of several journals, such as the IEEE TII and IEEE TCSS. He has also chaired more than 20 international conferences, such as IEEE GLOBECOM and IEEE Healthcom. He is a Highly Cited Researcher (Web of Science) since 2020, Highly Cited Chinese Researchers (Elsevier) since 2020, and elected to be the Young Elite Scientists Sponsorship Program by China Association for Science and Technology.

 

Invited Speaker:

Prof. Sabah Mohammed
Lakehead University, Canada

Biography: Dr. Sabah Mohammed research interest is in intelligent systems that have to operate in large, nondeterministic, cooperative, highly connected, survivable, adaptive or partially known domains. His continuous research is inspired by his PhD work back in 1981 from Brunel University (UK) on the employment of the Brain Activity Structures for decision making (planning and learning) that enable processes (e.g. agents, mobile objects) and collaborative processes to act intelligently in their environments to timely achieve the required goals. Having trained in medicine with a computer science PhD in Artificial Intelligence (AI), Dr. Mohammed is full Professor at the department of Computer Science at Lakehead University (Ontario Canada) since 2002. Prior to his work at Lakehead University, Dr. Mohammed was the chair of three computer science departments at HCT, Philadelphia and Applied Science Universities. Dr. Mohammed is the Editor in Chief of the of the IGI Global International Journal of Extreme Automation and Connectivity in Healthcare (IJEACH), Associate Editor of the IEEE Access and the founding EiC of the Int. J. of Emerging Technologies of Web Intelligence (JETWI). Dr. Mohammed chair the special interest group on Smart and Connected Health with the IEEE ComSoc eHealth TC. More information on Dr. Mohammed can be found on his institution website https://www.lakeheadu.ca/users/M/mohammed/node/17391