Snehanshu Saha

About

I hold a Ph.D from Univ. of Texas-Arlington and is a Professor in the Dept of CS&IS and Center Head-APPCAIR (AI research Center), BITS PILANI K K Birla Goa Campus. I have contributed more than 100 articles in top ranked conferences and Journals including several IEEE Transactions and is a Senior Member-IEEE, Senior Member-ACM and a Fellow-IETE. I have Contributed to the theory of machine learning/deep learning and meta-heuristics and developed several state-of-the-art methods in Deep Learning based classification tasks, optimizers for non-convex problems, proposed a novel anomaly detection method for univariate and multivariate time series data and interpretable tools in Deep learning.
I have 15 years of Post-Ph.D. experience in research and teaching in academia and industry. I'm a co-founder and Director of Research at HappyMonk AI, an AI product company. My Cumulative citations stand at 1682 as per Google Scholar: https://scholar.google.com/citations?user=C-Qm2LcAAAAJ&hl=en

Employment

• BITS Pilani K K Birla Goa CAmpus
  2020 - Present
• People Education Society University Professor
  2011 - 2019
• University of Texas at El Paso Faculty
  2009 - 2011
• University of Texas at Arlington Faculty
  2009 - 2009

Education

• University of Texas at Arlington PhD
  2005 - 2008
• Clemson University MS
  2002 - 2003
• Jawaharlal Nehru National College of Engineering BE
  1995 - 1999

Projects & Funding

Projects & funding information is unavailable.

Publications (76)

• Identifying Surface Accessibility through Vibration Classification: A Novel Utility Kernel Approach
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3722430
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• PowerQuant: Architecture-Agnostic GPU Power Estimation via Quantile Regression
  2026 DOI: 10.1145/3806645.3807591
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• QuikDel: A Scalable Hierarchical Multi-Agent System for Urban Delivery Using Q-Learning
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3723240
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• Investigating the bulge morphology of dual AGN host galaxies from the gothic survey
  Monthly Notices of the Royal Astronomical Society 2025 DOI: 10.1093/mnras/staf1928
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• Spatial Distribution of Poverty Clusters and Its Prediction Algorithms: A Visual Analytics Approach to Understanding the Disparities of Poverty Across Zones
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3575577
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• Prediction of Multidimensional Poverty Status With Machine Learning Classification at Household Level: Empirical Evidence From Tanzania
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3537807
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• Onto Proximality in Non Negative Matrix Factorization for Recommender Systems
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3557945
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• Non-Negative Matrix Factorization in Recommender Models: Concept, Survey, and Future Direction
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3630750
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• DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3584856
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• Influence of Demographics and Personality Traits on Physiological Responses to Improve Continuous Emotion Annotation in Video Applications
  2025 DOI: 10.1145/3706599.3720095
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