Scientific Programme

Sunday, 10 January 2027 (Day 1)

08:00-09:00 Breakfast & Registration
09:00-09:20 Dr. A. Sharma
Foundations of Optimization
Abstract | Lecture | Watch | arXiv: 2701.00001
09:20-09:40 Prof. V. Singh
Convex Optimization Methods
Abstract | Lecture | Watch | arXiv: 2701.00002
09:40-10:00 Dr. N. Gupta
Gradient Descent Variants
Abstract | Lecture | Watch | arXiv: 2701.00003
10:00-10:20 Prof. A. Mehta
Deep Learning Optimization
Abstract | Lecture | Watch | arXiv: 2701.00004
10:20-10:40 Dr. S. Iyer
Stochastic Methods
Abstract | Lecture | Watch | arXiv: 2701.00005
10:40-11:00 Prof. K. Verma
RL Optimization
Abstract | Lecture | Watch | arXiv: 2701.00006
11:00-11:20 Dr. P. Nair
Large Scale Systems
Abstract | Lecture | Watch | arXiv: 2701.00007
11:20-11:40 Prof. R. Das
Second Order Methods
Abstract | Lecture | Watch | arXiv: 2701.00008
11:40-12:00Break
12:00-12:20Dr. R. Malhotra
Probabilistic Optimization
Abstract | Lecture | Watch | arXiv: 2701.00009
12:20-12:40Prof. A. Banerjee
Regularization Theory
Abstract | Lecture | Watch | arXiv: 2701.00010
12:40-13:00Dr. K. Roy
Vision Optimization
Abstract | Lecture | Watch | arXiv: 2701.00011
13:00-14:30Lunch
14:30-14:50Prof. M. Iyer
NLP Optimization
Abstract | Lecture | Watch | arXiv: 2701.00012
14:50-15:10Dr. S. Kulkarni
Adaptive Methods
Abstract | Lecture | Watch | arXiv: 2701.00013
15:10-15:30Prof. N. Srivastava
Optimization Guarantees
Abstract | Lecture | Watch | arXiv: 2701.00014
15:30-15:50Dr. A. Chatterjee
Federated Learning
Abstract | Lecture | Watch | arXiv: 2701.00015
15:50-16:10Prof. D. Sinha
Future of Optimization
Abstract | Lecture | Watch | arXiv: 2701.00016
16:10-17:00Discussion & Wrap-up
17:00-18:00Dinner & Networking

Monday, 11 January 2027 (Day 2)

08:00-09:00 Breakfast
09:00-09:20 Dr. R. Malhotra
Optimization in Probabilistic Models
Abstract | Lecture | Watch | arXiv: 2701.00017
09:20-09:40 Prof. A. Banerjee
Regularization and Model Stability
Abstract | Lecture | Watch | arXiv: 2701.00018
09:40-10:00 Dr. K. Roy
Optimization for Computer Vision
Abstract | Lecture | Watch | arXiv: 2701.00019
10:00-10:20 Prof. M. Iyer
Optimization in NLP Systems
Abstract | Lecture | Watch | arXiv: 2701.00020
10:20-10:40 Dr. S. Kulkarni
Adaptive Gradient Methods
Abstract | Lecture | Watch | arXiv: 2701.00021
10:40-11:00 Prof. N. Srivastava
Optimization Guarantees and Bounds
Abstract | Lecture | Watch | arXiv: 2701.00022
11:00-11:20 Dr. A. Chatterjee
Federated Optimization Techniques
Abstract | Lecture | Watch | arXiv: 2701.00023
11:20-11:40 Prof. D. Sinha
Emerging Trends in Optimization
Abstract | Lecture | Watch | arXiv: 2701.00024
11:40-12:00Break
12:00-12:20 Dr. P. Verma
Optimization in Graph Learning
Abstract | Lecture | Watch | arXiv: 2701.00025
12:20-12:40 Prof. S. Nair
Robust Optimization Methods
Abstract | Lecture | Watch | arXiv: 2701.00026
12:40-13:00 Dr. R. Iqbal
Optimization in Uncertain Environments
Abstract | Lecture | Watch | arXiv: 2701.00027
13:00-14:30Lunch
14:30-14:50 Prof. A. Kapoor
Optimization for Data Science
Abstract | Lecture | Watch | arXiv: 2701.00028
14:50-15:10 Dr. S. Bose
Optimization in Signal Processing
Abstract | Lecture | Watch | arXiv: 2701.00029
15:10-15:30 Prof. V. Reddy
Efficient Optimization Algorithms
Abstract | Lecture | Watch | arXiv: 2701.00030
15:30-15:50 Dr. N. Das
Optimization in Distributed Systems
Abstract | Lecture | Watch | arXiv: 2701.00031
15:50-16:10 Prof. K. Chandra
Advanced Optimization Techniques
Abstract | Lecture | Watch | arXiv: 2701.00032
16:10-17:00Discussion & Wrap-up
17:00-18:00Dinner & Networking

Tuesday, 12 January 2027 (Day 3)

08:00-09:00 Breakfast
09:00-09:20 Dr. A. Verma
Optimization in Graph Neural Networks
Abstract | Lecture | Watch | arXiv: 2701.00033
09:20-09:40 Prof. S. Iqbal
Robust Optimization Techniques
Abstract | Lecture | Watch | arXiv: 2701.00034
09:40-10:00 Dr. N. Kapoor
Optimization in High-Dimensional Spaces
Abstract | Lecture | Watch | arXiv: 2701.00035
10:00-10:20 Prof. R. Bose
Optimization for Signal Processing
Abstract | Lecture | Watch | arXiv: 2701.00036
10:20-10:40 Dr. V. Reddy
Efficient Optimization Algorithms
Abstract | Lecture | Watch | arXiv: 2701.00037
10:40-11:00 Prof. N. Das
Distributed Optimization Systems
Abstract | Lecture | Watch | arXiv: 2701.00038
11:00-11:20 Dr. K. Chandra
Advanced Gradient Methods
Abstract | Lecture | Watch | arXiv: 2701.00039
11:20-11:40 Prof. P. Sharma
Optimization in Control Systems
Abstract | Lecture | Watch | arXiv: 2701.00040
11:40-12:00Break
12:00-12:20 Dr. T. Banerjee
Optimization in Financial Models
Abstract | Lecture | Watch | arXiv: 2701.00041
12:20-12:40 Prof. R. Iyer
Optimization for Healthcare Systems
Abstract | Lecture | Watch | arXiv: 2701.00042
12:40-13:00 Dr. S. Kuldeep
Optimization under Constraints
Abstract | Lecture | Watch | arXiv: 2701.00043
13:00-14:30Lunch
14:30-14:50 Prof. A. Mukherjee
Optimization in Data Mining
Abstract | Lecture | Watch | arXiv: 2701.00044
14:50-15:10 Dr. L. Fernandes
Optimization in Cyber-Physical Systems
Abstract | Lecture | Watch | arXiv: 2701.00045
15:10-15:30 Prof. H. Khan
Optimization for Edge Computing
Abstract | Lecture | Watch | arXiv: 2701.00046
15:30-15:50 Dr. P. Sengupta
Optimization in Energy Systems
Abstract | Lecture | Watch | arXiv: 2701.00047
15:50-16:10 Prof. D. Chatterjee
Future Directions in Optimization
Abstract | Lecture | Watch | arXiv: 2701.00048
16:10-17:00Discussion & Wrap-up
17:00-18:00Dinner & Networking

Wednesday, 13 January 2027 (Day 4)

08:00-09:00 Breakfast
09:00-09:20 Dr. A. Sengupta
Optimization in Graph Structures
Abstract | Lecture | Watch | arXiv: 2701.00049
09:20-09:40 Prof. R. Mukherjee
Robust Optimization Frameworks
Abstract | Lecture | Watch | arXiv: 2701.00050
09:40-10:00 Dr. N. Banerjee
Optimization in High-Dimensional Learning
Abstract | Lecture | Watch | arXiv: 2701.00051
10:00-10:20 Prof. S. Chatterjee
Optimization in Signal Systems
Abstract | Lecture | Watch | arXiv: 2701.00052
10:20-10:40 Dr. V. Iyer
Efficient Optimization Pipelines
Abstract | Lecture | Watch | arXiv: 2701.00053
10:40-11:00 Prof. K. Nair
Distributed Optimization Architectures
Abstract | Lecture | Watch | arXiv: 2701.00054
11:00-11:20 Dr. P. Kulkarni
Advanced Gradient Techniques
Abstract | Lecture | Watch | arXiv: 2701.00055
11:20-11:40 Prof. D. Rao
Optimization in Control Theory
Abstract | Lecture | Watch | arXiv: 2701.00056
11:40-12:00Break
12:00-12:20 Dr. S. Verma
Optimization in Financial Engineering
Abstract | Lecture | Watch | arXiv: 2701.00057
12:20-12:40 Prof. A. Reddy
Healthcare Optimization Systems
Abstract | Lecture | Watch | arXiv: 2701.00058
12:40-13:00 Dr. N. Iqbal
Constraint Optimization Methods
Abstract | Lecture | Watch | arXiv: 2701.00059
13:00-14:30Lunch
14:30-14:50 Prof. H. Sharma
Optimization in Data Mining
Abstract | Lecture | Watch | arXiv: 2701.00060
14:50-15:10 Dr. L. Khan
Cyber-Physical Optimization
Abstract | Lecture | Watch | arXiv: 2701.00061
15:10-15:30 Prof. S. Bose
Edge Computing Optimization
Abstract | Lecture | Watch | arXiv: 2701.00062
15:30-15:50 Dr. P. Kapoor
Energy Systems Optimization
Abstract | Lecture | Watch | arXiv: 2701.00063
15:50-16:10 Prof. R. Dasgupta
Future Trends in Optimization
Abstract | Lecture | Watch | arXiv: 2701.00064
16:10-17:00Discussion & Wrap-up
17:00-18:00Dinner & Networking

Thursday, 14 January 2027 (Day 5 — Poster Session)

08:00-09:00 Breakfast
09:00-10:30 Poster Session I
Optimization Theory, Convex Methods, and Algorithms
Interactive presentations and discussions with authors.
10:30-11:00 Tea Break
11:00-12:30 Poster Session II
Machine Learning Optimization and Deep Learning
Focus on training methods, architectures, and large-scale systems.
12:30-14:00 Lunch
14:00-15:30 Poster Session III
Applications in AI, Vision, NLP, and Reinforcement Learning
Applied research across domains with interactive Q&A.
15:30-16:00 Break
16:00-17:00 Poster Highlights & Awards
Selected short presentations from top posters
Best Poster Awards announced.
17:00-18:00 Conference Dinner & Farewell
Closing networking session and informal discussions

Friday, 15 January 2027 (Public Lecture)

16:00-17:00 Registration & Entry
Venue: Main Auditorium
17:00-17:15 Welcome Address
Introduction to the public lecture.
17:15-18:15 Prof. Arjun Mehta
The Future of Optimization in Artificial Intelligence and Quantum Systems
An accessible lecture connecting modern optimization, AI, and emerging quantum technologies for a broad audience.
Abstract | Slides | Watch
18:15-18:45 Q&A and Open Discussion
18:45-19:00 Closing Remarks
19:00 onwards High Tea & Interaction

Saturday, 16 January 2027 (Rump Session)

18:00-19:00 Rump Session I
Short, informal, and provocative presentations by participants on emerging ideas, open problems, and unconventional perspectives in optimization and machine learning.
19:00-20:00 Rump Session II
Continuation of lightning talks followed by open-floor discussion, debate, and spontaneous contributions from the audience.
20:00 onwards Informal Networking & Discussion