Manoj Thakur
Professor
manoj@iitmandi.ac.in
Areas of Interest: Soft Computing, Machine Learning and Computational Finance
Prof. Manoj Thakur is an academician specializing in Soft Computing, Machine Learning and Computational Finance. He is currently holding the position of Professor at the School of Mathematical & Statistical Sciences and also serving as the Chairperson of the School of Management at IIT Mandi. His academic journey has been marked by the development and delivery of courses encompassing Optimization, Machine Learning, and Computational Finance across undergraduate, postgraduate, and doctoral levels.
- Python Programming
- Mathematical foundation of Data Science & AI
- Machine Learning for business
- Probability and Statistics
- Computational Financial Modelling
- 2007, Ph. D., Mathematics, IIT Roorkee
- 2002, M. Phil., Mathematics, IIT Roorkee
- 2000, M. Sc., Applied Mathematics, University of Roorkee
- 2023 - Present, Professor, IIT Mandi
- 6 years, 2017 - 2023, Associate Professor, IIT Mandi
- 7 years, 2010 - 2017, Assistant Professor, IIT Mandi
- 3 years, 2007 - 2010, Research Analyst in Financial domain
Books:
- Thakur M., Agnihotri S., Rajpurohit B. S., Pant M, Deep K., Nagar, A. K. (Eds.) "Soft Computing for Problem Solving", Proceedings of the SocProS 2022, Springer Nature.
Journals:
- H Jalota, PK Mandal, M Thakur, G Mittal, A novel approach to incorporate investor's preference in fuzzy multi-objective portfolio selection problem using credibility measure, Expert Systems with Applications, Volume 212, pp. 118583, 2023.
- AS Akopov, LA Beklaryan, M Thakur, Improvement of maneuverability within a multiagent fuzzy transportation system with the use of parallel biobjective real-coded genetic algorithm, IEEE Transactions on Intelligent Transportation Systems, Volume 23, Issue 8, pp. 12648 - 12664, August 2022.
- A Kumar, M Thakur, G Mittal, Planning optimal power dispatch schedule using constrained ant colony optimization, Applied Soft Computing, Volume 115, pp. 108132, 2022.
- UP Singh, KP Singh, M Thakur, NucNormZSL: nuclear norm-based domain adaptation in zero-shot learning, Neural Computing and Applications, Volume 34, Issue 3, pp. 2353-2374, 2022.
- SS Meghwani, M Thakur, Adaptively weighted decomposition based multi-objective evolutionary algorithm, Applied Intelligence, Volume 51, Issue 6, pp. 3801-3823, 2021.
- Akopov, LA Beklaryan, M Thakur, BD Verma, Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation, Knowledge-Based Systems, Volume 174, pp. 103-122, 2019.
- M Thakur, D Kumar, A hybrid financial trading support system using multi-category classifiers and random forest, Applied Soft Computing, Volume 67, pp. 337-349, 2018.
- SS Meghwani, M Thakur, Multi-objective heuristic algorithms for practical portfolio optimization and rebalancing with transaction cost, Applied Soft Computing, Volume 67, pp. 865-894, 2018.
- D Kumar, M Thakur, All-in-one multicategory least squares nonparallel hyperplanes support vector machine, Pattern Recognition Letters, Volume 105, pp. 165-174, 2018.
- SS Meghwani, M Thakur, Multi-criteria algorithms for portfolio optimization under practical constraints, Swarm and Evolutionary Computation, Volume 37, pp. 104-125, 2017.
Book Chapters:
- Certificate in recognition of significant contribution to student learning through excellence in teaching from the Director IIT Mandi on 12th Foundation day, 2021.
- Certificate in recognition of excellence in teaching from the Director IIT Mandi on 08-09-2018.
- Certificate in recognition of excellence in teaching and inspiring students with teaching of applied mathematics using inter-disciplinary mix of maths, computer science, and finance from the Director IIT Mandi on foundation day of IIT Mandi in 2013.
- Certificate in recognition of teaching from the Director IIT Mandi on foundation day of IIT Mandi in 2011.