Prof. Kannimuthu Subramaniyam

Karpagam College of Engineering, India

Brief Introduction: Dr. S. Kannimuthu 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 IEEE Senior Member (ID: 99320117). 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 17 years of teaching and industrial experience. He is the recognized supervisor of Anna University, Chennai. Six PhD candidates are completed their research under his guidance. He is now guiding 7 PhD Research Scholars. He has published 73 (SCI:25 and Scopus:47) research articles in various International Journals. He published 2 books("Artificial Intelligence", "LinkedList Demystified: A Placement Perspective") and 3 Book Chapters (Scopus Indexed). He is acting as mentor / consultant for DeepLearning.AI, MaxByte Technologies Dhanvi Info Tech and Hubino. 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 175 Guest Lectures on various topics. He is the reviewer for more than 100  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. His research interests include Artificial Intelligence, Data Structures and Algorithms, Machine Learning, Computer Vision, Big Data Analytics, Blockchain and Virtual Reality. 

Speech Title: Certain Investigations on AI-Enabled Smart Supply Chain and Logistics

Abstract: The rapid evolution of digital technologies has reshaped worldwide supply chain and logistics ecosystems. This enables organization businesses to operate with greater intelligence, speed, and precision. Among these technologies, Artificial Intelligence (AI) has emerged as a transformative enabler, driving automation, improving visibility, and enhancing decision-making across end-to-end supply chain processes. This keynote explores the strategic integration of AI with real-time analytics, predictive modelling, robotics, and automation to optimize operations from demand forecasting and inventory management to route planning, warehouse automation, vendor relationships, and customer experience.

Through real-world case studies from global industry leaders such as Amazon, DHL, Walmart, and IBM, the session highlights the tangible business benefits achieved through AI adoption, including reduced operational costs, improved forecasting accuracy, enhanced supply chain resilience, and superior customer satisfaction. The keynote also addresses challenges associated with AI-enabled supply chains and discusses future trends such as AI-IoT convergence, autonomous logistics systems, and sustainability-driven optimization. This presentation provides researchers, industry professionals, and decision-makers with useful information and practical directions for making use of AI to build smart, agile, and future-ready supply chain ecosystems.

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Assoc. Prof. Azhar Imran Mudassir

Beijing University of Technology, China

Brief Introduction: Dr. Azhar Imran is an Associate Professor in Computer Science at the Beijing University of Technology (BJUT), China, with 13+ years of experience. Specializing in AI, Data Science, and Machine Learning, he has published over 85 research articles and delivered keynote speeches at major international conferences. A Senior IEEE Member, he serves on editorial boards and has received several awards, including the BJUT BestResearcher Award, an award from the Pakistan Embassy in Beijing, and the Excellent International Students Award from the Ministry of Education, China. His work applies AI to healthcare, image processing, and social media analysis.