ICNLP2024 Speakers

Prof. Nikola Kasabov

IEEE Fellow and RSNZ Fellow

Auckland University of Technology, New Zealand

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. Kasabov is the 2019 President of the Asia Pacific Neural Network Society(APNNS) and Past President of the International Neural Network Society (INNS). He is 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, Springer Series of Bio-and Neuro-systems and 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 620 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, Honorary Professor of Teesside University, UK.Prof. Kasabov has received a number of awards, among them:Doctor Honoris Causa from Obuda University, Budapest; INNS AdaLovelace Meritorious Service Award; NN Best Paper Award for2016; APNNA ‘Outstanding Achievements Award’; INNS Gabor Awardfor ‘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 theBulgarian, the Greek and the Scottish Societies for ComputerScience. More information of Prof. Kasabov can be found from:
https://academics.aut.ac.nz/nkasabov.

Prof. Robert Minasian

IEEE Fellow & OSA Fellow

The University of Sydney, Australia

Professor Minasian is a Chair Professor with the School of Electrical and Information Engineering at the University of Sydney, Australia. He is also the Founding Director of the Fibre-optics and Photonics Laboratory. His research has made key contributions to microwave 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 390 research publications, including Invited Papers in the IEEE Transactions and Journals. He has 79 Plenary, Keynote and Invited Talks at international conferences. He has served on numerous technical and steering committees of international conferences, and is on the IEEE Fellow Evaluation Committee. . Professor Minasian was the recipient of the ATERB Medal for Outstanding Investigator in Telecommunications, awarded by the Australian Telecommunications and Electronics Research Board. He is a Life Fellow of the IEEE, and a Fellow of the Optical Society of America.

Abstract: Integrated photonic signal processing heralds a new powerful paradigm that features inherent advantages, including wide bandwidth and immunity to electromagnetic interference. Microwave photonics, merging the worlds of RF and photonics, offers strong potential as a key enabling technology to realise new signal processing systems that can overcome inherent electronic limitations. Integration of photonic signal processors on silicon platforms is especially attractive, since this leverages the CMOS fabrication technology to enable boosting the performance of future systems performing communications and sensing with the potential for implementing high bandwidth, fast and complex functionalities. Recent advances in silicon photonics integrated signal processing and sensing are presented. These include optical integration techniques for LIDAR on-a-chip systems including dense integration of waveguides and neural network assisted phase shifter control for beamsteering, photonic approaches to artificial neural networks for deep learning, programmable integrated photonic processors, and high-resolution integrated sensors using optical microresonators that strongly enhance the light-matter interaction to attain high sensitivity and which utilize deep learning techniques to enhance the photonic sensor interference resilience performance. These photonic processors open new capabilities for the realisation of high-performance signal processing and sensing.

Prof. Qingcai Chen

Director of the Intelligent Computing Research Center

School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, China

Qingcai Chen received the B.S., M.S., and Ph.D. degrees from the Harbin Institute of Technology, Harbin, China, in 1996, 1998, and 2003, respectively. He is currently a Professor and the Director of the Intelligent Computing Research Center, School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Shenzhen, China. He is also a Principal Investigator (PI) of the Peng Cheng Laboratory, Shenzhen. His research interests include natural language processing, pattern recognition, artificial intelligence, machine learning, finance, and medical informatics.(Based on document published on 8 November 2023).