CCCE 2023 keynote speakers as below:
Life Fellow of IEEE
Prof. Nikola Kasabov, Auckland University of Technology, New Zealand
Speech Title: Brain-inspired Machine learning Technologies (Click for abstract)
Biography: Professor Nikola Kasabov is Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He is the Founding Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland and Professor at the School of Engineering, Computing and Mathematical Sciences at Auckland University of Technology, New Zealand. He is also George Moore Chair Professor of Data Analytics at the University of Ulster UK, Honorary Professor at the Teesside University UK and the University of Auckland NZ, Visiting Professor at the IIKT Bulgarian Academy of Sciences. Kasabov is Past President of the Asia Pacific Neural Network Society (APNNS) and the International Neural Network Society (INNS). He has been a chair and a member of several technical committees of IEEE Computational Intelligence Society and Distinguished Lecturer of IEEE (2012-2014). He is Editor of Springer Handbook of Bio-Neuroinformatics, EIC of Springer Series of Bio-and Neuro-systems and co-EIC of the Springer journal Evolving Systems. He is Associate Editor of several journals, including Neural Networks, IEEE TrNN, Tr CDS, Information Sciences, Applied Soft Computing. Kasabov holds MSc and PhD from TU Sofia, Bulgaria. His main research interests are in the areas of neural networks, intelligent information systems, soft computing, bioinformatics, neuroinformatics. He has published more than 680 publications, highly cited internationally. He has extensive academic experience at various academic and research organisations in Europe and Asia, including: TU Sofia Bulgaria; University of Essex UK; University of Otago, NZ; Advisory Professor at Shanghai Jiao Tong University and CASIA China, Visiting Professor at ETH/University of Zurich and Robert Gordon University UK, Visiting Scholar University of Dalian, China. Kasabov has received a number of awards, among them: Doctor Honoris Causa from Obuda University, Budapest; INNS Ada Lovelace Meritorious Service Award; NN Best Paper Award for 2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Award for ‘Outstanding contributions to engineering applications of neural networks’; EU Marie Curie Fellowship; Bayer Science Innovation Award; APNNA Excellent Service Award; RSNZ Science and Technology Medal; 2015 AUT Medal; Honorable Member of the Bulgarian, the Greek and the Scottish Societies for Computer Science. More information of Prof. Kasabov can be found from: https://academics.aut.ac.nz/nkasabov.
Fellow of the IEEE
Prof. Angrisani Leopoldo, Università degli Studi di Napoli Federico II, Italy
Speech Title: Measurement Sustainability: a sound enabler for Green AI? (Click for abstract)
Biography: Leopoldo Angrisani is Full Professor of Electrical and Electronic Measurements with the Department of Information Technology and Electrical Engineering of the University of Naples Federico II, Italy. He is also General Manager/Director of CeSMA – Center of Advanced Measurement and Technology Services and member of the Board of the Ph.D. Program on Information Technology and Electrical Engineering of University of Naples Federico II. His research activity is currently focused on communication systems and networks test and measurement; measurements for Internet of Things applications; compressive sampling based measurements; measurements for Industry 4.0; measurement uncertainty. He was and is currently involved in many industrial research projects, in cooperation with small, medium and great enterprises, for which he played and is currently playing the role of scientific coordinator. He is currently playing a relevant role in designing and developing the strategic pillars on which the national Competence Center on Industry 4.0, MedITech, led by Federico II University and geographically located in the South of Italy, is going to be based.
He is Fellow Member of the IEEE Instrumentation and Measurement and Communications Societies, Chair of the IEEE Instrumentation & Measurement Society Italy Chapter, Honorary Chairman of the first edition (M&N 2019) of the IEEE International Symposium on Measurements & Networking 2019, General Chairman of the second edition (MetroInd4.0&IoT 2019) of the IEEE International Workshop on Metrology for Industry 4.0 and IoT 2019. He was one of the promoters of the TC-37 “Measurements and Networking” technical committee of the IEEE Instrumentation & Measurement Society and General Chairman of the first (M&N2011), second (M&N2013), third (M&N2015) and fourth edition (M&N2017) of the IEEE International Workshop on Measurements & Networking. He is Representative of Italy in the IEC Validation Team-VT 60050 for maintenance and management of the International Electrotechnical Vocabulary and member of the Italian Association “GMEE-Electrical and Electronic Measurements Group”, of CNIT, National Inter-university Consortium for Telecommunications, of the Technical Committee CT 1/25 “Terminology, Quantities and Units” of CEI (Italian Electrotechnical Committee). He is corresponding member of the Accademia Pontaniana in Naples, the oldest Italian academy, with almost 600 years of history, which has always brought together renowned Neapolitan scholars.
In 2009, he was awarded the IET Communications Premium for the paper entitled “Performance measurement of IEEE 802.11b-based networks affected by narrowband interference through cross-layer measurements” (published in IET Communications, vol. 2, No. 1, January 2008). The IEEE Instrumentation & Measurement Society Italy Chapter, which he has been chairing since 2015, was awarded in 2016 the prestigious recognition “I&M Society Best Chapter Award” by the IEEE Instrumentation & Measurement Society, in 2017 the prestigious recognition “Most Improved Membership Chapter for 2016” by the IEEE Italy Section, in 2018 the prestigious recognition “Most Innovative Chapter 2018” by the IEEE Italy Section, and in 2021 the prestigious recognition "Chapter of the Year 2021" by the IEEE Region 8 (Europe, Middle Est, Africa). In 2021, he was awarded the prestigious recognition “2021 IEEE Instrumentation and Measurement Society Technical Award” with the following citation “For contributions in the advancement of innovative methods and techniques for communication systems test and measurement”.
Fellow of the IEEE
Prof. Arumugam Nallanathan, Queen Mary University of London, UK
Speech Title: Machine Learning in Massive Ultra-Reliable Low Latency Connectivity (mURLLC) in 6G (Click for abstract)
Biography: Arumugam Nallanathan (Fellow, IEEE) was an Assistant Professor with the Department of Electrical and Computer Engineering, National University of Singapore, from August 2000 to December 2007. He was with the Department of Informatics, King’s College London, from December 2007 to August 2017, where he was a Professor of wireless communications from April 2013 to August 2017 and has been a Visiting Professor since September 2017. He has been a Professor of wireless communications and the Head of the Communication Systems Research (CSR) Group, School of Electronic Engineering and Computer Science, Queen Mary University of London, since September 2017. He has published nearly 500 technical papers in scientific journals and international conferences. His research interests include artificial intelligence for wireless systems, beyond 5G wireless networks, the Internet of Things (IoT), and molecular communications.,Mr. Nallanathan was a co-recipient of the Best Paper Awards presented at the IEEE International Conference on Communications 2016 (ICC’2016), the IEEE Global Communications Conference 2017 (GLOBECOM’2017), and the IEEE Vehicular Technology Conference 2018 (VTC’2018). He is an IEEE Distinguished Lecturer. He received the IEEE Communications Society SPCE Outstanding Service Award in 2012 and the IEEE Communications Society RCC Outstanding Service Award in 2014. He served as the Chair for the Signal Processing and Communication Electronics Technical Committee of IEEE Communications Society and the Technical Program Chair and a member of technical program committees in numerous IEEE conferences. He is the Editor-at-Large of IEEE Transactions on Communications and a Senior Editor of IEEE Wireless Communications Letters. He was an Editor of IEEE Transactions on Wireless Communications from 2006 to 2011, IEEE Transactions on Vehicular Technology from 2006 to 2017, and IEEE Signal Processing Letters. He has been selected as a Web of Science Highly Cited Researcher in 2016 and an AI 2000 Internet of Things Most Influential Scholar in 2020.