Speakers

Keynote and invited speakers.

Keynote

speaker

Cheng Chin

Professor of Intelligent Systems Modelling & Simulation, Director of Research, Director of Newcastle University–NVIDIA Joint Laboratory, Singapore

Intelligent Systems Modelling

He is a Chair Professor of Intelligent Systems Modelling and Simulation at Newcastle University and Editor-in-Chief of Cybernetics and Systems. Since 2010, he has contributed to the Marine Engineering programme, focusing on marine electrical engineering, system modelling, and simulation. He is also an Adjunct Professor at Chongqing University, an NVIDIA Certified Instructor, and a Deep Learning Institute Ambassador. He leads the Newcastle University–NVIDIA Joint Laboratory and serves as Director of Research and Innovation in Singapore, where he has strengthened academia–industry collaboration. He has secured 9 EDB Industrial Postgraduate Programme grants and 2 Singapore Maritime Institute grants as PI/Co-PI, advancing intelligent system design and predictive analytics research.
He has published 5 books, edited 2, and holds multiple patents in Singapore and the US. His research in AI has been presented at major conferences, and he has received awards including Best Presentation at an IEEE conference, Best Paper at MIC, and the Judges’ Award at DCASE2019. He is a Fellow of the Higher Education Academy and has served on IEEE working groups contributing to IEEE 2660.1-2020 and IEEE 45.1-2023. He also serves on editorial boards of several international journals.

Keynote

speaker

Lei Chen

Shandong University, China

Multi-Modal Spatio-Temporal Modeling Methods for Video Anomaly Detection

Lei Chen received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, and the Ph.D. degree in electrical and computer engineering from University of Ottawa, Ontario, Canada. He is currently an Associate Professor with the School of Information Science and Engineering, Shandong University, China. His research interests include image processing and computer vision, visual quality assessment and pattern recognition, machine learning and artificial intelligence. He was the principal investigator of projects granted from the National Natural Science Foundation of China, National Natural Science Foundation of Shandong Province, China Postdoctoral Science Foundation, etc. He has published more than 40 papers on top international journals and conferences in recent years including IEEE TIP, Signal Process., ICME, etc. He was awarded the Future Plan for Young Scholars of Shandong University. He served for many international conferences including the ICIGP 2021, CSAI2022, MLCCIM2022, and ICIVC 2023 as Program Chair, Technical Chair or Publicity Chair.

Keynote

speaker

Philippe Fournier-Viger

Shenzhen University, China

Algorithms for Identifying Interesting Structures in Complex Data

Philippe Fournier-Viger (Ph.D) is distinguished professor at Shenzhen University (China). Five years after completing his Ph.D., he came to China in 2015 and became full professor after receiving a national talent title from the government of China. He has published more than 400 research papers related to data mining algorithms for complex data (sequences, graphs), intelligent systems and applications, which have received more than 18,500 citations (H-Index 66 - Google Scholar). He is the founder of the popular SPMF data mining library, offering more than 300 algorithms to find patterns in data, cited in more than 1,100 research papers. He is former associate editor-in-chief of the Applied Intelligence journal and has been keynote speaker for over 60 international conferences and co-edited four books for Springer. He is a book series editor for Atlantis Press (Springer). He appears in the top 0.3% of researchers for scientific influence in the Stanford list. He is an Elsevier “Highly Cited Chinese Researcher” since 2022. He won the "Most Influential Paper Award" at the 2024 PAKDD conference and received seven Best Paper Awards at international conferences. He has been general chair or conference chair for 10 international conferences, program committee chair for 15 conferences, and organized more than 25 workshops and special sessions at international conferences. He has collaborated with over 400 researchers worldwide. Website: http://www.philippe-fournier-viger.com.

Keynote

speaker

Kannimuthu Subramaniyam

Karpagam College of Engineering, India

Certain Investigations on Hybrid Deep Learning Algorithms for Autism Spectrum Disorder Diagnosis

Kannimuthu Subramaniyam is currently working as Professor in the Department of Computer Science and Engineering at Karpagam College of Engineering, Coimbatore, Tamil Nadu, India. He is also an In-Charge for the Center of Excellence in Algorithms. He is an IBM Certified Cybersecurity Analyst. He did PhD in Computer Science and Engineering at Anna University, Chennai. He did his M.E (CSE) and B.Tech (IT) at Anna University, Chennai. He has more than 16 years of teaching and industrial experience. He is the recognized supervisor of Anna University, Chennai. Three PhD candidate is completed their research under his guidance. He is now guiding 11 PhD Research Scholars. He has published 59 research articles in various International Journals. He published 2 books ("Artificial Intelligence" & “LinkedList Demystified-A Placement Perspective” and 3 Book Chapters (WOS / Scopus Indexed). He is acting as mentor / consultant for DeepLearning.AI, Hubino, MaxByte Technologies and Dhanvi Info Tech, Coimbatore. He is the expert member for AICTE Student learning Assessment Project (ASLAP). He has presented a number of papers in various National and International conferences. He has visited more than 100 Engineering colleges and delivered more than 138 Guest Lectures on various topics. He is the reviewer for 50 Journals and 3 Books. He has successfully completed the consultancy project through Industry-Institute Interaction for ZF Wind Power Antwerpen Ltd., Belgium. He has received funds from CSIR, DRDO and ISRO to conduct workshops and seminars. He has completed more than 610 Certifications (41 Specializations and 4 Professional Certifications) in Coursera, Hackerrank and NPTEL on various domains. He has guided a number of research-oriented as well as application-oriented projects organized by well-known companies like IBM. He is actively involving in setting up lab for Cloud Computing, Big Data Analytics, Open-Source Software, Internet Technologies etc., His research interests include Artificial Intelligence, Data Structures and Algorithms, Machine Learning, Big Data Analytics, Virtual Reality & Blockchain. One of his research works is incorporated SPMF Open-Source Data Mining Tool. Source: http://www.philippe-fournier-viger.com/spmf/index.php?link=algorithms.php. He Conferred Second Best Team in NLP Challenge as part of FIRE 2019 conference. He secured first Position in NLP Challenge as part of FIRE 2018 Conference.