SEMINARS
Online Session on How to Win a Hackathon
Event Details
| Particulars | Details |
|---|---|
| Event Name | Online Session on How to Win a Hackathon |
| Date | 25/03/2026 |
| Venue | Online mode |
| Organized By | Department of Data Science, Faculty of Engineering and Technology, in collaboration with the Dr. M.G.R. ACM Student Chapter |
| Target Audience | III and II Year students |
| Resource Person / Chief Guest | Dr. Prashant R. Nair, Associate Director – IQAC & Associate Professor (CSE), Amrita Vishwa Vidyapeetham, Coimbatore |
Event Summary
The Department of Data Science, Faculty of Engineering and Technology, in collaboration with the Dr. M.G.R. ACM Student Chapter, organized an online session on “How to Win a Hackathon” for III and II year students on 25/03/2026. The session was delivered by Dr. Prashant R. Nair, Associate Director – IQAC and Associate Professor in Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Coimbatore. In his address, he discussed the key elements required to succeed in hackathons, including idea generation, problem understanding, team collaboration, and development of innovative yet feasible solutions. The session also emphasized effective presentation techniques, problem-solving methods, and time management strategies. The program began with a welcome address by Dr. T. Kirubadevi, Head of the Department, who highlighted the importance of innovation and active participation in hackathon-based learning. The session provided participants with practical insights and motivated them to strengthen their technical and teamwork skills for competitive innovation events.
Key Highlights
- Conducted online for III and II year students.
- Delivered by Dr. Prashant R. Nair from Amrita Vishwa Vidyapeetham, Coimbatore.
- Covered idea generation, team collaboration, and problem-solving strategies.
- Highlighted presentation skills and time management in hackathons.
- Included guidance on building innovative and feasible solutions.
- Opened with a welcome address by Dr. T. Kirubadevi, Head of the Department.
International Seminar on the Role of Responsible AI in Industrial Revolution 5.0
EVENT DETAILS
| Particulars | Details |
|---|---|
| Event Name | International Seminar on The Role of Responsible AI in Industrial Revolution 5.0 |
| Date | 18.02.2026 |
| Venue | Not specified in the provided draft |
| Organized By | Department of Data Science, in collaboration with the Office of International Relations |
| Target Audience | Students and staff members |
| Resource Person / Chief Guest | Dr. Joseph Emerson Raja, HRDF Certified Trainer and Senior Lecturer, Multimedia University, Malaysia |
SUMMARY
The Department of Data Science, in collaboration with the Office of International Relations, organized an international seminar on “The Role of Responsible AI in Industrial Revolution 5.0” on 18.02.2026. The session featured Dr. Joseph Emerson Raja, HRDF Certified Trainer and Senior Lecturer, Multimedia University, Malaysia, as the Chief Guest. He delivered an insightful address on responsible artificial intelligence, ethical considerations, and the relevance of human-centric AI in emerging industries. The seminar provided students and staff members with an academic perspective on the responsible use of AI in industrial transformation and future workplaces. The discussion also emphasized the importance of accountability, fairness, and ethical decision-making in AI-driven systems. An interactive session followed the lecture, enabling participants to clarify concepts and engage in meaningful dialogue. The seminar strengthened awareness of responsible AI practices and contributed to the academic enrichment of the participants.
KEY HIGHLIGHTS
- International seminar on responsible AI and Industrial Revolution 5.0.
- Expert lecture delivered by Dr. Joseph Emerson Raja from Multimedia University, Malaysia.
- Focus on ethics, accountability, and human-centric AI applications.
- Interactive student and staff participation followed the technical session.
- Chief Guest was felicitated by the Head of Data Science and the Director of International Relations.
- Supported academic awareness on responsible use of AI in future industries.
Subject Lecture on Exploring Multi-Agent Dynamics and Learnings in Data Science
Event Details
| Particulars | Details |
|---|---|
| Event Name | Subject Lecture on Exploring Multi-Agent Dynamics and Learnings |
| Date | 15 October 2025 (Wednesday), 11.00 a.m. – 12.00 p.m. IST |
| Venue | Computer Laboratory, Dr. M.G.R. Educational and Research Institute, Maduravoyal, Chennai, Tamil Nadu |
| Organized By | Data Science Department, Dr. M.G.R. Educational and Research Institute |
| Target Audience | II Year B.Tech. Data Science students |
| Resource Person / Chief Guest | Mrs. M. Priyanga, Assistant Professor, Department of Data Science, Dr. M.G.R. Educational and Research Institute |
Event Summary
The Data Science Department organized a subject lecture titled “Exploring Multi-Agent Dynamics and Learnings” to strengthen students’ conceptual foundation in intelligent agents and their role in modern data-driven systems. The resource person, Mrs. M. Priyanga, introduced the notion of AI agents, their key characteristics such as autonomy, goal-orientation, adaptiveness, and the distinction between single-agent and multi-agent environments. Different categories of agents, including simple reflex, model-based, goal-based, utility-based and learning agents, were explained using real-time examples like self-driving cars, online recommendation systems and automatic room lighting. The session highlighted how multi-agent systems support scalable decision-making in complex environments, which is central to current research trends in AI and data science. Through interactive discussion and scenario-based questioning, students related theoretical models of agents and environments to practical data science applications, thereby enhancing their understanding of intelligent decision systems and laying groundwork for advanced courses in AI, machine learning and analytics.
Key Highlights
- Overview of AI agents and their characteristics, including autonomy, reactivity, proactivity and goal-orientation, with everyday data-driven examples.
- Detailed explanation of simple reflex, model-based, goal-based, utility-based and learning agents using case studies such as self-driving cars, thermostats and recommendation engines.
- Discussion on nature of environments for agents, covering discrete vs continuous, observable vs partially observable, static vs dynamic and deterministic vs non-deterministic settings.
- Illustration of multi-agent environments and their importance in solving large-scale AI and data science problems through collaborative and interactive learning.
- Interactive question-and-answer segment with multiple-choice questions to reinforce key concepts and assess students' conceptual understanding.
- Active participation of second-year Data Science students, encouraging analytical thinking and preparing them for advanced AI and machine learning coursework.
Technology Talk on Data Science Trends in Startups and Research Incubators
Event Details
| Event Name | Technology Talk on Data Science Trends in Startups and Research Incubators |
|---|---|
| Date | 20 November 2025 |
| Venue | RA Auditorium, Main Campus |
| Organized By | Department of Data Science, Dr. M.G.R Educational and Research Institute, in collaboration with AUDI |
| Target Audience | Students from various academic programs |
| Resource Person | Dr. J. Arun Kumar, Dean, Dr. APJ Abdul Kalam Centre of Excellence in Innovation Entrepreneurship |
Event Summary
The Department of Data Science at Dr. M.G.R Educational and Research Institute organized a Technology Talk on Data Science Trends in Startups and Research Incubators on 20 November 2025 at RA Auditorium, in collaboration with AUDI. The event aimed to expose students to evolving data science applications in entrepreneurial and research ecosystems, bridging academic learning with industry practices. Dr. J. Arun Kumar, Dean of Dr. APJ Abdul Kalam Centre of Excellence in Innovation Entrepreneurship, delivered insights on AI, machine learning, automation trends, incubator opportunities, essential skills for data scientists, and startup success models. Key activities included an interactive lecture and Q&A session addressing startup challenges, funding, and research collaborations. Over 120 students participated, gaining practical knowledge to align skills with innovation pathways. The session concluded with felicitation of the speaker by Dr. T. Kirubadevi, Head of the Department of Data Science, enhancing students’ perspectives on interdisciplinary problem-solving.
Key Highlights
- Emerging data science applications in modern startups and the role of AI, ML, and automation in technological solutions
- Opportunities in research incubators, innovation hubs, and real-world startup success stories
- Essential skill sets for budding data scientists, including interdisciplinary learning and problem-solving abilities
- Steps to convert innovative ideas into prototypes and viable business products
- Active participation by over 120 students with interactive Q&A addressing challenges, funding opportunities, and research collaborations
- Felicitation of the resource person by Dr. T. Kirubadevi, Head, Department of Data Science
