Som Subhro Nath
University of Calcutta, Bhavan's Gangabux Kanoria Vidyamandir, Bharatiya Vidya Bhavan
About
Som is an undergraduate researcher, currently pursuing a B.Sc. in Computer Science at the University of Calcutta. With a strong foundation in AI ethics, human-AI interaction, and emotional computing, he has authored multiple research papers, including submissions to Springer Nature. Som is the innovator behind SmartNest, a patented smart home ecosystem designed to integrate intelligent automation with everyday living.
He is passionate about bridging technological innovation with social impact and envisions a future where empathetic AI systems support human well-being without compromising ethical integrity. Som holds certifications from IBM, HackerRank, and several recognized platforms in UI/UX, ethical hacking, and entrepreneurial design thinking. His work integrates academic excellence with real-world problem-solving, aiming toward a direct Ph.D. abroad and global recognition in AI research.
Employment
Employment history is unavailable.
Education
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University of Calcutta Bachelor of Science2025 - 2028
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Bhavan's Gangabux Kanoria Vidyamandir Senior Secondary2023 - 2025
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Bharatiya Vidya Bhavan Secondary School2010 - 2023
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- Emergent Inter-Agent Conflict in Multi-Agent AI Systems: An Experimental Study of Objective Divergence Save
- Affective Misgrounding in Aligned Language Models: A Quantitative Analysis of Emotional Hallucination in LLM Responses Save
- A Lightweight Neural Network Compression Pipeline for Resource-Constrained Edge AI Systems Save
- A Lightweight Neural Network Compression Pipeline for Resource-Constrained Edge AI Systems Save
- Affective Misgrounding in Aligned Language Models: A Quantitative Analysis of Emotional Hallucination in LLM Responses Save
- Algorithmic Intimacy in AI Companionship Systems: Dopamine-Driven Reinforcement and the Emergence of Synthetic Attachment Save
- Counterfactual Divergence Singularity: A Theoretical Model of High-Similarity Instability and Micro-Counterfactual Drift in Large Language Models Save
- Emergent Inter-Agent Conflict in Multi-Agent AI Systems: An Experimental Study of Objective Divergence Save
- Toward a Theory of Semantic Fixed Points: Evidence from Iterative Language Model Self-Refinement Save
- Toward a Theory of Semantic Fixed Points: Evidence from Iterative Language Model Self-Refinement Save