Keynote Speakers

Prof. Juyang Weng

Brain-Mind Institute and GENISAMA, USA

(IEEE Life Fellow)

BIO: Prof. Juyang Weng received a BS degree from Fudan University, in 1982, M. Sc. and PhD degrees from the University of Illinois at Urbana-Champaign, in 1985 and 1989, respectively, all in computer science.  He is a former faculty member of the Department of Computer Science and Engineering, faculty member of the Cognitive Science Program, and faculty member of the Neuroscience Program at Michigan State University, East Lansing.  He was a visiting professor at the Computer Science School of Fudan University, Nov. 2003 - March 2014, and did sabbatical research at MIT, at Media Lab Fall 1999 – Spring 2000; and at the Department of Brain and Cognitive Science Fall 2006-Spring 2007 and taught BCS9.915/EECS6.887 Computational Cognitive and Neural Development during Spring 2007.   Since the work of Cresceptron (ICCV 1993) the first deep learning neural network for a 3D world without post-selection misconduct, he expanded his research interests in biologically inspired systems to developmental learning, including perception, cognition, behaviors, motivation, machine thinking, and conscious learning models.  He has published over 300 research articles on related subjects, including task muddiness, intelligence metrics, brain-mind architectures, emergent Turing machines, autonomous programming for general purposes (APFGP), Post-Selection flaws in “deep learning”, vision, audition, touch, attention, detection, recognition, autonomous navigation, and natural language understanding.  He published with T. S. Huang and N. Ahuja a research monograph titled Motion and Structure from Image Sequences.  He authored a book titled Natural and Artificial Intelligence: Computational Introduction to Computational Brain-Mind.  Dr. Weng is an Editor-in-Chief of the International Journal of Humanoid Robotics, the Editor-in-Chief of the Brain-Mind Magazine, and an associate editor of the IEEE Transactions on Autonomous Mental Development (now Cognitive and Developmental Systems).  With others’ support, he initiated the series of International Conferences on Development and Learning (ICDL), the IEEE Transactions on Autonomous Mental Development, the Brain-Mind Institute, and the startup GENISAMA LLC.  He was an associate editor of the IEEE Transactions on Pattern Recognition and Machine Intelligence and the IEEE Transactions on Image Processing. 

Title of Speech: Post-Selection Misconduct Protocol in Two Nobel Prizes 2024 and a Holistic Solution

Abstract:This talk exposes that the Nobel Prize for Physics 2024 and the Nobel Prize for Chemistry 2024 use a Post-Selection protocol that has flooded the AI and machine learning field.   It explains why the Post-Selection is an invalid protocol for experiments that suffers from three misconducts: (1) cheating in the absence of a test; (2) hiding bad-looking data; and (3) exaggerating the prediction accuracy.  Finally, the talk explains that the Post-Selection suffers from the local minima problem among the 20 million-dollar problems, and the Developmental Networks provide a holistic solution to all the 20 million-dollar problems.  More details are available in the IEEE CDS Newsletter Vol. 18, No. 4, 2024. https://www.cse.msu.edu/amdtc/amdnl/CDSNL-V18-N4.pdf

Prof. Valentina E. Balas

Aurel Vlaicu University of Arad, Romania

(H-index: 42)(IEEE Senior Member, IEEE CISMember)(ACM Member)

BIO: Valentina E. Balas (SM’07) received the Ph.D. degree in applied electronics and telecommunications from the Polytechnic University of Timisoara. She is currently a Full Professor with the Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She is the author of more than 190 research papers in refereed journals and International Conferences. Her research interests are in intelligent systems, fuzzy control, soft computing, smart sensors, information fusion, modeling, and simulation. She was the General Chair of the International Workshop Soft Computing and Applications from 2005 to 2016 held in Romania and Hungary. She is the Editor-in Chief of the International Journal of Advanced Intelligence Paradigms and the International Journal of Computational Systems Engineering, an Editorial Board member of several national and international journals and is an expert evaluator for national and international projects. She participated in many international conferences as Organizer, Session Chair and a member of the International Program Committee. She is a member of EUSFLAT, the ACM, TC–Fuzzy Systems (IEEE CIS), TC–Emergent Technologies (IEEE CIS), TC–Soft Computing (IEEE SMCS). She was a recipient of the Vice President (Awards) of the IFSA International Fuzzy Systems Association Council from 2013 to 2015. She is a Joint Secretary of of the Governing Council of Forum for Interdisciplinary Mathematics - A Multidisciplinary Academic Body, India.

Prof. Zheng Gong

South China Normal University, China

BIO: Zheng Gong is currently working at the Department of Computer Networks and Information Security, South China Normal University, as a professor and doctoral advisor. He is a senior member of the Chinese Cryptography Society. He has co-designed the white-box block cipher matrix library WBMatrix, the white-box oriented block cipher algorithm SWAN, the lightweight block cipher algorithm KLEIN, and the lightweight message authentication code TuLP, among others. He has led or participated in over 10 research projects in cryptography and information security, including projects funded by the joint fund of the NSFC-General Technology Basic Research, the 173 Basic Strengthening Plan Technical Field Project, the National Natural Science Foundation of China (including general and youth projects), the National Cryptography Development Fund under China's "13th Five-Year Plan" by the National Cryptography Administration, and the Applied Technology Research and Development Special Project of Guangdong Province. Gong was selected for the Guangdong Special Support Program for Training Leading Talents in Technological Innovation (6th batch) in 2022, the Outstanding Young Teachers Training Program of Guangdong Higher Education Institutions in 2014, and the Guangzhou Pearl River Science and Technology New Star Talent Program in 2014.