About the Course
This course explores recent advancements in numerical linear algebra through algorithms inspired by dynamical systems. It covers topics such as computing matrix inverses, generalized inverses, and solving linear systems, incorporating both static and dynamic problems. Special focus is given to Zeroing Neural Network (ZNN) methods and Gradient Neural Networks (GNNs) for real-time and time-varying computations. Applications span robotics, autonomous systems, optimization, and engineering challenges involving time-dependent matrices. Participants will gain insights into continuous-time models, neural network-based approaches, and their roles in solving emerging problems in numerical linear algebra.
Networking Opportunities:
- Organize interactive sessions, panel discussions, and Q&A forums with researchers and innovators.
Innovation and Research:
- Provide a platform for participants to present their research and innovative projects through oral/poster presentations and technical demonstrations.
Course Objectives
This course will provide you with:
- Basic knowledge of numerical linear algebra, especially on matrix factorizations, computing generalized inverses, and eigenvalues.
- Basic knowledge of nonlinear optimization methods, recurrent neural networks, dynamical systems, and MATLAB Simulink modeling.
- Skills in solving matrix equations and linear systems and computing generalized inverses using optimization methods and dynamical streams.
- Ability to solve time-varying problems in numerical linear algebra by applying dynamical systems and initiated recurrent neural networks.
Course Coordinator
Prof. Sk. Safique Ahmad
Professor
Department of Mathematics
Indian Institute of Technology Indore, India
Email: [email protected]
Phone: +919691229996
Key Highlights of the Event
- Talk by Keynote Speakers
- Oral/Poster Presentations
- Networking Opportunities
Glimpses
Teaching Faculty
Prof. Predrag S. Stanimirović
Professor
Email: [email protected]
Department of Computer Science, University of Niš, Serbia.
Predrag S. Stanimirović received his doctorate in computer science from the University of Niš, Faculty of Philosophy, Niš, Serbia. He is a full professor at the Faculty of Sciences and Mathematics, University of Niš, Department of Computer Science, Niš, Serbia. He gained thirty-six years of experience in scientific research in various fields of mathematics and computing, which include several branches of numerical linear algebra, recurrent neural networks, linear algebra, symbolic computation, nonlinear optimization, linear programming, and others.. He has successfully published over 330 publications in scientific journals, including 5 research monographs, 6 textbooks, 5 monographs and over 80 peer-reviewed research articles published in proceedings and book chapters.The author is on Stanford's list of 2% top scientists in the world in 2021 and 2022.
Teaching Faculty
Prof. Sk. Safique Ahmad
Professor
Email: [email protected]
Department of Mathematics, IIT Indore
Prof. Sk. Safique Ahmad is currently working as a full professor in the Department of Mathematics at Indian Institute of Technology Indore, India. He obtained his Doctoral degree from the Indian Institute of Technology Guwahati. After obtaining his Doctoral degree he joined SERC, IISc. Bangalore as a Research Associate on 2nd January 2008 and visited to the Institut für Mathematik, Universität Berlin, Germany in 2nd February 2009 as a Post Doctoral Fellow and then in Dec. 2009, he returned to IIT Indore and acted as Assistant Professor at the Discipline of Mathematics.
Registration
Registration Starts: 15 Jan, 2025
Registration Ends: 15 May, 2025
Last Date of Payment: 25 May, 2025
Event Dates: Jun. 09-19, 2025
Accommodation Details
The participants will be provided with accommodation on payment basis. For any questions, please send an email to [email protected]Registration Fee:
Click here for Registration| Category | Fee |
|---|---|
| Undergraduate/Postgraduate | INR 1500 + 18% GST |
| Ph.D.+ Post-Docs | 2000 + 18% GST |
| Faculty | INR INR 4000 + 18% GST |
| Industry person | INR 8000 + 18% GST |
| Foreign participants | $200 USD |
| The above fee includes all instructional materials, computer use for tutorials and assignments, laboratory equipment usage charges, 24 hr free Internet facility. | |
How to Reach IIT Indore
IIT Indore
From Indore Railway Station / Bus Stand
Distance: Approximately 24.4 Kms
Travel Time: Around 1 hour
- Book Cab/Auto (fare approx. Rs. 400-600) up to Simrol (IIT Indore).
- Take Bus No. 11 from Railway Station to Tejaji Nagar and Bus No. M-19 from Tejaji Nagar to IIT Indore (Gate No. 1).
- Take local transport up to Bhanwar Kuwan and Bus No. M-19 from Bhanwar Kuwan to IIT Indore (Gate No. 1).
Note: Ask your driver to follow the route via Tejaji Nagar for the shortest path.
From Indore Airport
Distance: Approximately 35.3 Kms
Travel Time: Around 1h 15 mins
- Book Cab/Auto (fare approx. Rs. 700-900) up to Simrol (IIT Indore).
- Book Taxi/Auto (fare approx. Rs. 300-400) up to Bhanwar Kuwan and Bus No. M-19 from Bhanwar Kuwan to IIT Indore (Gate No. 1).
Note: Ask your driver to follow the route via Tejaji Nagar for the shortest path.
From Bhopal via Chartered Bus
Distance: Approximately 200 Kms
Travel Time: Around 3h 30min
- Book Taxi/Auto/Via Bus (fare approx. Rs. 345-375) from Chartered Bus Point Indore.
Note: Ask your driver to follow the route via Tejaji Nagar to reach IIT Indore.
Contact
Location:
Indian Institute of Technology Indore,
Khandwa Road, Simrol,
Indore 453552,
INDIA