Prof. Manu Malek
Stevens Institute of Technology;
Editor-in-Chief of Elsevier’s International Journal of Computers and Electrical Engineerin
Title: Source Of Security Issues In Iot Environment And Possible Solutions
Bio:
Manu Malek is the Editor-in-Chief of Elsevier’s International Journal of Computers and Electrical Engineering. He was a Distinguished Member of Technical Staff at Lucent Bell Labs until 2001; then joined Stevens Institute of Technology as Professor of Computer Science and Telecom Management, from which he retired a few years ago.
Dr. Malek has held various academic positions in the USA and overseas, as well as technical leadership positions at Telcordia Technologies and AT&T/Lucent Bell Labs. He is the author, co-author, or editor of seven books, and author or co-author of numerous publications in the areas of communication networks, computer communications, and network management.
An alumnus of University of California, Berkeley, Dr. Malek is a Life Fellow of the IEEE, and an IEEE Third Millennium medalist for his contributions. He was Editor for Network Management of the IEEE Transactions on Communications (1989-92), and an IEEE ComSoc Distinguished Lecturer (1999-2007). He founded and was the Editor-in-Chief of Springer’s Journal of Network and Systems Management (1993-2010).
Dr. Malek is a frequent invitee as keynote speaker at international conferences. His favorite topic is information security with the subtopics IoT, security forensics and defense, and autonomous vehicles.
Prof. Ivan Tyukin
Professor of Applied Mathematics, University of Leicester, UK
Turing Artificial Intelligence Fellow
Editor of Communications in Nonlinear Science and Numerical Simulation
Title: The challenge of trustworthy data-driven Artificial Intelligence: boundaries, limitations, and opportunities
Bio:
Ivan Tyukin (member of IEEE, LMS, IMA) received the M.S. (Hons.) degree from St. Petersburg State Electrotechnical University, Russia, in 1998. After receiving Ph.D. degree in 2001, he joined Perceptual Dynamics Laboratory at RIKEN Brain Science Institute, Japan. There he pursued research in adaptive, intelligent, and neural systems, and in 2006 has been awarded a DrSc degree by St. Petersburg State Electrotechnical University, Russia.
In 2007 he joined the Department of Mathematics at the University of Leicester as a RCUK Academic Fellow and has been promoted to the posts of Lecturer, Reader, and Professor of Applied Mathematics in 2012, 2014, and 2018, respectively.
His research interests are in mathematical foundations of Artificial Intelligence (AI) and learning systems, mathematical modelling, adaptive systems, inverse problems with nonconvex and nonlinear parameterization, data analytics, and computer vision. Ivan Tyukin research programme to develop Adaptive, Robust, Resilient, Certifiable, and Trustworthy AI systems has been supported by a £1.4m UKRI Turing AI Fellowship Award.
He is an Editor of Communications in Nonlinear Science and Numerical Simulations, and also leads AI and ML research within the UKRI UK Trustworthy Autonomous Systems Verifiability Node, various Innovate UK, AHRC, MRC, and Health Foundation projects, and in Research England METEOR programme.