Using Machine Learning to Quantify the Multimedia Risk Due to Fuzzing. - Gautam Siddharth Kashyap; Karan Malik; Samar Wazir; Rijwan Khan (Multim. Tools Appl., 2022)

Roulette-Wheel Selection-Based PSO Algorithm for Solving the Vehicle Routing Problem with Time Windows. - Gautam Siddharth Kashyap; Alexander E. I. Brownlee; Orchid Chetia Phukan; Karan Malik; Samar Wazir (CoRR, 2023)

MLOps: A Review. - Samar Wazir; Gautam Siddharth Kashyap; Parag Saxena (CoRR, 2023)

From Simulations to Reality: Enhancing Multi-Robot Exploration for Urban Search and Rescue. - Gautam Siddharth Kashyap; Deepkashi Mahajan; Orchid Chetia Phukan; Ankit Kumar; Alexander E. I. Brownlee; Jiechao Gao (CoRR, 2023)

Innovate Spatial-Temporal Attention Network (STAN) for Accurate 3D Mice Pose Estimation with a Single Monocular RGB Camera. - Liyun Gong; Miao Yu 001; Gautam Siddharth Kashyap; Sheldon McCall; Mamatha Thota; Saeid Pourroostaei Ardakani (EUSIPCO, 2024)

Are Paralinguistic Representations all that is needed for Speech Emotion Recognition? - Orchid Chetia Phukan; Gautam Siddharth Kashyap; Arun Balaji Buduru; Rajesh Sharma 002 (INTERSPEECH, 2024)

Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio Deepfake. - Orchid Chetia Phukan; Gautam Siddharth Kashyap; Arun Balaji Buduru; Rajesh Sharma 002 (NAACL-HLT (Findings), 2024)

Detection of a facemask in real-time using deep learning methods: Prevention of Covid 19. - Gautam Siddharth Kashyap; Jatin Sohlot; Ayesha Siddiqui; Ramsha Siddiqui; Karan Malik; Samar Wazir; Alexander E. I. Brownlee (CoRR, 2024)

How Paralingual are Paralinguistic Representations? A Case Study in Speech Emotion Recognition. - Orchid Chetia Phukan; Gautam Siddharth Kashyap; Arun Balaji Buduru; Rajesh Sharma 002 (CoRR, 2024)

From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility. - Pravneet Kaur; Gautam Siddharth Kashyap; Ankit Kumar; Md. Tabrez Nafis; Sandeep Kumar 001; Vikrant Shokeen (CoRR, 2024)

Automated Ruleset Generation for "HTTPS Everywhere": Challenges, Implementation, and Insights. - Fares Alharbi; Gautam Siddharth Kashyap; Budoor Ahmad Allehyani (Int. J. Inf. Secur. Priv., 2024)

The Future of Fall Prevention: Integrating OpenPose with Cutting-Edge ML Models. - Shina Samuel Kolawole; Gautam Siddharth Kashyap; Olamide Emmanuel Kolawole; Miao Yu 001 (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Empowering Network Security through Advanced Analysis of Malware Samples: Leveraging System Metrics and Network Log Data for Informed Decision-Making. - Fares Alharbi; Gautam Siddharth Kashyap (Int. J. Networked Distributed Comput., 2024)

Can AI See What We Can't? Leveraging Deep Learning and Multi-Temporal Satellite Data to Revolutionize Crop Type Mapping and Yield Prediction. - Gautam Siddharth Kashyap; Harsh Joshi; Manaswi Kulahara; Rajkumar Dhakar; Atul Sajjanhar; Jiechao Gao; Sarthak Jain; Shahab Saquib Sohail (ICASSP, 2025)

Fooling the Forgers: A Multi-Stage Framework for Audio Deepfake Detection. - Gautam Siddharth Kashyap; Zohaib Hasan Siddiqui; Mohammad Anas Azeez; Rafiq Ali; Shantanu Kumar; Navin Kamuni; Jiechao Gao (ICASSP, 2025)

Innovative Spatial-Temporal Attention Network (STAN) for Skeleton-Based Timed-Up-and-Go Analysis to Stratify Lower Back Pain Severity With Monocular RGB Camera. - Liyun Gong; Pandey Shourya Prasad; Chan Chi Leung; Gautam Siddharth Kashyap; Saeid Pourroostaei Ardakani; Ross Clifford; Philip Williams; Miao Yu 001 (IEEE Access, 2025)

Optimization of the rectangle area inside a concave polygon using PSO and Tabu Search. - Gautam Siddharth Kashyap; Karan Malik; Samar Wazir; Alexander E. I. Brownlee (Soft Comput., 2025)

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture. - Gautam Siddharth Kashyap; Md. Tabrez Nafis; Samar Wazir (CoRR, 2025)

LLMs on a Budget? Say HOLA. - Zohaib Hasan Siddiqui; Jiechao Gao; Ebad Shabbir; Mohammad Anas Azeez; Rafiq Ali; Gautam Siddharth Kashyap; Usman Naseem (CoRR, 2025)

ChildGuard: A Specialized Dataset for Combatting Child-Targeted Hate Speech. - Gautam Siddharth Kashyap; Mohammad Anas Azeez; Rafiq Ali; Zohaib Hasan Siddiqui; Jiechao Gao; Usman Naseem (CoRR, 2025)

How Can Multimodal Remote Sensing Datasets Transform Classification via SpatialNet-ViT? - Gautam Siddharth Kashyap; Manaswi Kulahara; Nipun Joshi; Usman Naseem (CoRR, 2025)

Can We Predict the Unpredictable? Leveraging DisasterNet-LLM for Multimodal Disaster Classification. - Manaswi Kulahara; Gautam Siddharth Kashyap; Nipun Joshi; Arpita Soni (CoRR, 2025)

Can Argus Judge Them All? Comparing VLMs Across Domains. - Harsh Joshi; Gautam Siddharth Kashyap; Rafiq Ali; Ebad Shabbir; Niharika Jain; Sarthak Jain; Jiechao Gao; Usman Naseem (CoRR, 2025)

Truth, Trust, and Trouble: Medical AI on the Edge. - Mohammad Anas Azeez; Rafiq Ali; Ebad Shabbir; Zohaib Hasan Siddiqui; Gautam Siddharth Kashyap; Jiechao Gao; Usman Naseem (CoRR, 2025)

Can We Predict Your Next Move Without Breaking Your Privacy? - Arpita Soni; Sahil Tripathi; Gautam Siddharth Kashyap; Manaswi Kulahara; Mohammad Anas Azeez; Zohaib Hasan Siddiqui; Nipun Joshi; Jiechao Gao (CoRR, 2025)