Publications

	Rudrodip Majumdar A case study on the feasibility and optimization of wind farm deployment in India Agarwal, L., Manisha, Arya, Y., Nagpal, N., Majumdar, R., & Gupta, V. (2025). A case study on the feasibility and optimization of wind farm deployment in India. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 47(2), 2537739. https://www.tandfonline.com/doi/full/10.1080/15567036.2025.2537739
	C P Rajendran The Himalayas Under the Shadow of Crisis - The Apex Court Sounds Environmental Alarm ETV Bharat https://www.etvbharat.com/en/!opinion/the-himalayas-under-shadow-of-crisis-apex-court-sounds-environmental-alarm-enn25080504113
	Biju Dharmapalan Need for a timetable overhaul for Gen Alpha The Statesman https://www.thestatesman.com/supplements/campus/need-for-a-timetable-overhaul-for-gen-alpha-1503467059.html
	Biju Dharmapalan, Navneet Kumar Gupta The Woman who decoded India’s Monsoon Daily Excelsior https://www.dailyexcelsior.com/the-woman-who-decoded-indias-monsoon/
	Nithin Nagaraj Hyperparameter-Free Neurochaos Learning Algorithm for Classification Akhila, H., & Nagaraj, Nithin. (2025). Hyperparameter-free neurochaos learning algorithm for classification. arXiv:2508.01478 [cs.LG]. https://arxiv.org/abs/2508.01478
	Ekasmayi Esha Naresh Government spending and lower secondary education completion in Asia: A cross-national analysis Bhavana, S., Naresh, E., & Naresh, S. (2025). Government spending and lower secondary education completion in Asia: A cross-national analysis. International Journal of Educational Development, 117, 103369. https://www.sciencedirect.com/science/article/abs/pii/S0738059325001671?via%3Dihub=
	Nithin Nagaraj Neurochaos Learning for Classification using Composition of Chaotic Maps Henry, A., & Nagaraj, N. (2025). Neurochaos learning for classification using composition of chaotic maps. Chaos Theory and Applications, 7(2), 107-116. https://dergipark.org.tr/en/pub/chaos/issue/91901/1601947
	Nithin Nagaraj A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks Sahu, R., Chadha, S., Mathur, A., Nagaraj, N., & Saha, S. (2025). A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks. Chaos Theory and Applications, 7(2), 154-165. https://dergipark.org.tr/en/pub/chaos/issue/91901/1588198