By OUR STAFF REPORTER
Dehradun, 29 Nov: UPES inaugurated the third edition of the International Conference on Machine Learning and Data Engineering (ICMLDE 3.0), at its Bidholi campus. The two-day conference, held on 28 and 29 November, has been organised by the UPES School of Computer Science (SoCS) in collaboration with Elsevier, the University of Dayton (USA), and Providence University. The 2024 edition continues the tradition of academic distinction established by previous iterations of ICMLDE, which have seen participation from over 3,800 contributors across 47 countries. This year’s event, sponsored by the Ministry of Electronics and Information Technology (MeitY) and IBM, is structured around four key tracks: Machine Learning Foundation, Deep Learning and Data Engineering, Machine Learning and Data Engineering, and Applications.
ICMLDE 3.0 held meaningful conversations and collaborations on global challenges and emerging opportunities in AI and data engineering. The conference featured over 400 research papers from diverse areas of Machine Learning and Data Engineering, with accepted papers to be published in the Procedia Computer Science Journal by Elsevier. Special emphasis is placed on nurturing young researchers through expert speeches and technical sessions.
On the inaugural day of the conference, Dr Sanjay Bahl, Director General, CERT-In, MeitY attended the event as the Chief Guest, while Dr Ajay Kumar, Director, IRDE DRDO was the Guest of Honour. On day one, the conference, which listed a stellar lineup of keynote speakers and workshops, kicked off with a welcome address by Dr Ram Sharma, Vice Chancellor, UPES, followed by keynote sessions from renowned experts such as Dr Vijayan K Asari (University of Dayton) who shared insights on computational intelligence, and Dr Amit Sachan (Jio) who discussed transformative AI applications.
On day two, Professor Peter Han Joo Chong (Auckland University of Technology) addressed fuzzy logic applications in 5G networks, while Dr Bernard Fong (Providence University) explored predictive analytics for automotive inventory management. Additional keynotes included Prof Robertas Damaševičius (Kaunas University of Technology) on sustainable software engineering and Dr Tanmoy Chakraborty (IIT Delhi) on combating harmful online content. Additionally, the event featured workshops led by experts such as Dr GG Md Nawaz (Bradley University, USA), Dr Arun Kumar (NIT Rourkela), and L Venkata Subramaniam (IBM Quantum Lead), exploring cutting-edge topics like AI-driven autonomous driving and the convergence of AI and quantum computing. Siddharth Golecha, a Quantum Support Engineer at IBM, focuses on developing AI solutions for quantum computing, including projects like the Qiskit Code Assistant.
Dr Vijaysekhar Chellaboina, Dean, School of Computer Science, UPES highlighted the event’s significance, stating, “ICMLDE 3.0 exemplifies our commitment to creating a global dialogue in the fields of Machine Learning and Data Engineering. By bringing together researchers, academicians, and industry leaders from across the world, this conference not only advances cutting-edge innovation, but also nurtures collaboration and knowledge sharing. At UPES, we aim to create a vibrant ecosystem where ideas transform into impactful solutions, shaping the future of technology and society.”
