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Mridul Khurana

Mridul Khurana is a master’s degree student in the Department of Computer Science.  His advisor is Anuj Karpatne. Khurana’s research centers around generative artificial intelligence and using science guidance to assist biologists in studying the evolution of different animal species over time. From computer vision models he extracts genome-like sequences using images to study the evolutionary traits […]

Algorithm 1028: VTMOP: Solver for Blackbox Multiobjective Optimization Problems

Dynamic System Diversification for Securing Cloud-based IoT Subnetworks

Modeling the temporal dynamics of master regulators and CtrA proteolysis in Caulobacter crescentus cell cycle

Algorithm 1031: MQSI – Monotone Quintic Spline Interpolation

ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction

Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain

Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning