Himanshu Joshi

Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox

The rapid adoption of Large Language Models(LLMs) for code generation has transformed software development, yet little attention has been given to how security vulnerabilities evolve through...

Transparent AI: The Case for Interpretability and Explainability

As artificial intelligence systems increasingly inform high-stakes decisions across sectors, transparency has become foundational to responsible and trustworthy AI implementation. Leveraging our...

Interpreting Agentic Systems: Beyond Model Explanations to System-Level Accountability

Agentic systems have transformed how Large Language Models (LLMs) can be leveraged to create autonomous systems with goal-directed behaviors, consisting of multi-step planning and the ability to...

Approaches to Responsible Governance of GenAI in Organizations

PEER-REVIEWED AND ACCEPTED IN IEEE- ISTAS 2025 The rapid evolution of Generative AI (GenAI) has introduced unprecedented opportunities while presenting complex challenges around ethics,...

A Stochastic Differential Equation Framework for Multi-Objective LLM Interactions: Dynamical Systems Analysis with Code Generation Applications

We introduce a general stochastic differential equation framework for modelling multiobjective optimization dynamics in iterative Large Language Model (LLM) interactions. Our framework captures...

Simulating impact of light rail on urban growth in Phoenix: an application of urbansim modeling environment

Comparison of Explainable AI Models for MRI-Based Alzheimer's Disease Classification

Generating diffusion MRI scalar maps from T1-weighted images using Reversible GANs

Augmenting Cognitive Architectures with Large Language Models

Knowledge Management and Its Impact on Organizational Performance in the Private Sector in India

Knowledge Management and Organizational Performance - A KM Implementation Framework in Indian Context

Classification of Social Signals Using Deep LSTM-based Recurrent Neural Networks

Segmenting and Profiling Mobile Wallet Users in India

Temporal Privacy Drift in Tool-Augmented Large Language Models: A Quantitative Framework for Big Data System Security

Brain Age Analysis and Dementia Classification using Convolutional Neural Networks trained on Diffusion MRI: Tests in Indian and North American Cohorts

Deep Normative Tractometry for Identifying Joint White Matter Macro- and Micro-structural Abnormalities in Alzheimer's Disease

Security Charter Effectiveness in Large Language Model Code Generation: A Multi-Phase Experimental Analysis Revealing Task-Dependent Responsiveness and Architectural Differences

Long Short-Term Memory Based Millimeter Wave Beam Change Prediction via Real-World Data