The IEEE Computer Society (CS) Chapter serves as a dynamic platform for advancing knowledge and fostering innovation in the fields of Computer Science and Information Technology. By bringing together students, educators, and industry professionals, the chapter facilitates an environment where members can engage with the latest technological developments and research trends.
The IEEE CS Chapter regularly organizes expert lectures, technical workshops, hands-on sessions, and collaborative projects, all aimed at nurturing professional growth and encouraging lifelong learning. Through its wide network, the chapter also provides valuable opportunities for mentorship, industry interactions, and collaborative research, empowering participants to stay ahead in the rapidly evolving digital landscape.
About the Summer School
The 2025 IEEE Computer Society Region 10 Summer School on “Data Science for Decision-Making: Methodologies and Applications” is a prestigious five-day program hosted by Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi.
This summer school is designed to immerse participants in the core concepts, advanced methodologies, and latest research trends in Data Science, with a special focus on its applications in effective decision-making. The program features a balanced blend of expert lectures—including sessions by Distinguished Visiting Professors (DVPs)—interactive discussions, hands-on exercises, and collaborative group activities.
Participants will explore a diverse range of topics, such as Introduction to Data Science for Decision-Making, Machine Learning for Predictive Analytics, Data Visualization for Storytelling, Time Series Analysis and Forecasting, Deep Learning for Classification and Regression, and Natural Language Processing for Text Analysis. The summer school aims to create a vibrant and collaborative environment where students, researchers, and industry professionals can deepen their understanding, share innovative ideas, and build professional networks that foster ongoing research and development in the dynamic field of data science.
Our Team Gallery
Meet the brilliant minds behind the IEEE Computer Society Summer School 2025
Speakers
Mohamed. Rawidean Mohd. Kassim
Region 10 CS Director | IEEE DVP Speaker
Prof. Dr. K. Subramanian
Chair, IEEE CS DS Chapter | IEEE DVP Speaker
Prof. Amlan Chakrabarti
Professor, Calcutta University | IEEE DVP Speaker
Mr. Ajay Ramani
Software Engineer, Lyxel & Flamingo, Gurugram
Ms. Saumya Aggarwal
Associate Data Analyst, Aiprus Software Pvt. Lmt. Gurugram
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
Dr. Sivakumar Perumal
Professor at Sasi Institute of Technology & Engineering
Dr. Anup Girdhar
CEO, Sedulity Solutions & Technologies
Registration Guidelines
Registration Rules
Registration Per Person only
Registration is non-transferable and non-refundable
Event Registration
Last Date of Registration: 16th July 2025*Registrations closed*
Workshop seats will be allocated on a first-come, first-served basis , Maximum participants: 30
Certificate will be provided to all the summer school attendees
Registration Fees
Membership Type
Registration Fees
IEEE Member / IEEE CS Member
₹1700
Accommodation: All the out-stationed participants shall be provided dormitory accommodation, on shared bases, absolutely free, inside the Campus, during the entire duration of the Summer School. However, participants, who want Hotel Accommodation, may directly book the Hotel on payment basis, details of which is given here under:-
Session 3: Data Science, Engineering, Management, and Governance: Emerging Professions Driving National Growth through Innovative Analytics Applications in India
Prof. Dr. K. Subramanian
Chair, IEEE CS DS Chapter | IEEE DVP Speaker
From Perceptrons to Transformers: A Deep Dive into Predictive Modeling
Dr. Sivakumar Perumal
Professor at Sasi Institute of Technology & Engineering
Session 1: Advanced Data Collection and Analytics for Smart Agriculture, Aquaculture, and Environmental Systems
Mohamed. Rawidean Mohd. Kassim
Regional Coordinator, Region R10 IEEE | IEEE DVP Speaker
Project Presentations
11:00 am - 11:15 am
Tea and Networking
Tea and Networking
Tea and Networking
Tea and Networking
Tea and Networking
11:15 am – 1:00 pm
Session 6: R for Decision Support Systems: Real-World Case Studies and Methodologies
Prof. Amlan Chakrabarti
Professor, Calcutta University | IEEE DVP Speaker
Session 4: Introduction to Data Science for Decision-Making
Ms. Saumya Aggarwal
Associate Data Analyst, Aiprus Software Pvt. Lmt. Gurugram
Session 7: Machine Learning for Predictive Analytics
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
Session 9: Data Visualization for Storytelling
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
Project Presentations
1:00 pm – 2:00 pm
Lunch
Lunch
Lunch
Lunch
Lunch
2:00 pm - 4:00 pm
Session 2: Natural Language Processing for Text Analysis
Mr. Ajay Ramani
Software Engineer, Lyxel & Flamingo, Gurugram
Session 5: Hands on training session on Time Series Analysis and Forecasting
Ms. Saumya Aggarwal
Associate Data Analyst, Aiprus Software Pvt. Lmt. Gurugram
Session 8: Hands on training session on Machine Learning for Predictive Analytics
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
Session 10: Hands on training session on Data Visualization for Storytelling
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
Valedictory
4:00 pm - 4:15 pm
High Tea
High Tea
High Tea
High Tea
High Tea
Day 1
28th July 2025
10:00 am - 11:00 am
Inauguration
11:00 am - 11:15 am
Tea and Networking
11:15 am – 1:00 pm
Session 6: R for Decision Support Systems: Real-World Case Studies and Methodologies
Prof. Amlan Chakrabarti
Professor, Calcutta University | IEEE DVP Speaker
1:00 pm – 2:00 pm
Lunch
2:00 pm - 4:00 pm
Session 2: Natural Language Processing for Text Analysis
Mr. Ajay Ramani
Software Engineer, Lyxel & Flamingo, Gurugram
4:00 pm - 4:15 pm
High Tea
Day 2
29th July 2025
10:00 am - 11:00 am
Session 3: Data Science, Engineering, Management, and Governance: Emerging Professions Driving National Growth through Innovative Analytics Applications in India
Prof. Dr. K. Subramanian
Chair, IEEE CS DS Chapter | IEEE DVP Speaker
11:00 am - 11:15 am
Tea and Networking
11:15 am – 1:00 pm
Session 4: Introduction to Data Science for Decision-Making
Ms. Saumya Aggarwal
Associate Data Analyst, Aiprus Software Pvt. Lmt. Gurugram
1:00 pm – 2:00 pm
Lunch
2:00 pm - 4:00 pm
Session 5: Hands on training session on Time Series Analysis and Forecasting
Ms. Saumya Aggarwal
Associate Data Analyst, Aiprus Software Pvt. Lmt. Gurugram
4:00 pm - 4:15 pm
High Tea
Day 3
30th July 2025
10:00 am - 11:00 am
From Perceptrons to Transformers: A Deep Dive into Predictive Modeling
Dr. Sivakumar Perumal
Professor at Sasi Institute of Technology & Engineering
11:00 am - 11:15 am
Tea and Networking
11:15 am – 1:00 pm
Session 7: Machine Learning for Predictive Analytics
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
1:00 pm – 2:00 pm
Lunch
2:00 pm - 4:00 pm
Session 8: Hands on training session on Machine Learning for Predictive Analytics
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
4:00 pm - 4:15 pm
High Tea
Day 4
31st July 2025
10:00 am - 11:00 am
Session 1: Advanced Data Collection and Analytics for Smart Agriculture, Aquaculture, and Environmental Systems
Mohamed. Rawidean Mohd. Kassim
Regional Coordinator, Region R10 IEEE | IEEE DVP Speaker
11:00 am - 11:15 am
Tea and Networking
11:15 am – 1:00 pm
Session 9: Data Visualization for Storytelling
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
1:00 pm – 2:00 pm
Lunch
2:00 pm - 4:00 pm
Session 10: Hands on training session on Data Visualization for Storytelling
Ms. Diksha Jain
Assistant Professor, University of Delhi, Delhi
4:00 pm - 4:15 pm
High Tea
Day 5
1st August 2025
10:00 am - 11:00 am
Project Presentations
11:00 am - 11:15 am
Tea and Networking
11:15 am – 1:00 pm
Project Presentations
1:00 pm – 2:00 pm
Lunch
2:00 pm - 4:00 pm
Valedictory
4:00 pm - 4:15 pm
High Tea
*Schedule is subject to change. Please check back for updates.
Frequently asked questions
The Summer School focuses on "Data Science for Decision-Making: Methodologies and Applications". It offers a deep dive into modern data science tools and techniques, emphasizing how they support effective decision-making across domains.
