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Mrittunjoy Guha Majumdar Deriving the Entropy Functional in f(Q) Gravity Consistent with Entanglement Entropy Deriving the entropy functional in f(Q) gravity consistent with entanglement entropy. Fortschritte der Physik – Progress of Physics 74(1). https://onlinelibrary.wiley.com/doi/10.1002/prop.70059 |
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Mrittunjoy Guha Majumdar Operational threshold for spatial entanglement survival under ionizing decoherence Operational threshold for spatial entanglement survival under ionizing decoherence. International Journal of Quantum Information, 24(3). https://doi.org/10.1142/S0219749925400040 |
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Sanjay Kumar Srivastava COP30: Adaptation Finally Takes Centre Stage — What It Means for India NIAS Blog https://cms.nias.res.in/sites/default/filesefs/2025-12/NIAS%20%20Blog_COP%2030_Outcomes.pdf |
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Shailaja D Sharma UGC’s draft maths curriculum needs more thinking through Economic Times https://education.economictimes.indiatimes.com/news/higher-education/ugcs-draft-maths-curriculum-needs-more-thinking-through/125428374 |
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V Siddhartha The Dimensions and Roles of Science & Technology in India's Foreign Policy Siddhartha, V. (2025). The dimensions and roles of Science & Technology in India’s foreign policy. A Presentation Made at the Kautilya School of Public Policy ,Hyderabad, India. https://cms.nias.res.in/sites/default/filesefs/2026-02/The%20Dimensions%20and%20Roles%20of%20Science%20%26%20Technology%20in%20India%27s%20Foreign%20… |
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Sanjay Kumar Srivastava Technology as a Force Multiplier: Reducing Infrastructure Costs and Enhancing Service Resilience NIAS Blog https://cms.nias.res.in/sites/default/filesefs/2025-12/NIAS%20%20Blog_Tech%20for%20Resilience.pdf |
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LM Patnaik Beauty aids: can AI improve human behaviours with imperfect data? Wang, Wen-Feng., Xu, Bai-Zhou., Fuqing Li, Bin Hu., Patnaik, Lalit Mohan., Cui, Lu-Jie., & Pan, Yun-Zhu. (2025). Beauty aids: Can AI improve human behaviours with imperfect data?. International Journal of Data Science, 10(2). 119-135. https://www.inderscienceonline.com/doi/abs/10.1504/IJDS.2025.149851 |
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Nithin Nagaraj Deep Learning for Short-Term Precipitation Prediction in Four Major Indian Cities: A ConvLSTM Approach with Explainable AI Ghosh, T., Anand, S., Nannewar, R. G., & Nagaraj, Nithin. (2025). Deep learning for short‑term precipitation prediction in four major Indian cities: A ConvLSTM approach with explainable AI. arXiv:2511.11152 [cs.LG]. https://arxiv.org/abs/2511.11152 |