Students

Mr. Jayesh Umre (Enrollment No. 24pcsv01), Department of CSE, PDPM IIITDM Jabalpur, MP, India (PhD Ongoing, 2024-Till date) — Domain: Generative AIs/Large Language Models (LLMs)

ONGOING

Research Bio: Jayesh Umre is a Ph.D. Research Scholar in CSE at PDPM IIITDM Jabalpur. His research interests include Generative AI, Large Language Models (LLMs), Natural Language Processing and Software Engineering. His work focuses on the development and empirical evaluation of LLM-based approaches for code generation, software engineering and language applications.

Mr. Siddharth Meghwal (Enrollment No. 25pcso08), Department of CSE, PDPM IIITDM Jabalpur, MP, India (PhD Ongoing, 2026-Till date) — Domain: AI-Driven MLOps Framework (A Joint PhD Supervision with Prof. Tsunenori Mine, Associate Professor, Department of Advanced Information Technology, Faculty of Information Science and Electrical Engineering, Kyushu University, JAPAN)

ONGOING

Research Bio: Siddharth, is a Ph.D. Research Scholar in Computer Science and Engineering at PDPM IIITDM Jabalpur. His primary research focuses on leveraging cloud computing, AI/ML, and MLOps for intelligent and scalable cloud migration, resource optimization, load balancing, security, and cost-efficient cloud infrastructure management. His work aims to develop intelligent frameworks for secure, automated, and performance-aware migration and management of workloads from on-premises environments to the cloud.

Mr. Ashish Kumar Thakur (Enrollment No. 25pcsw02), Department of CSE, PDPM IIITDM Jabalpur, MP, India (PhD Ongoing, 2026-Till date) — Domain: Application of Quantum Computing in Social Network Analysis (A Joint PhD Supervision with  Dr. Shivansh Mishra)

ONGOING

Ms. Rashmi Gupta (Enrollment No. 23pcsw01), Department of CSE, PDPM IIITDM Jabalpur, MP, India (PhD Ongoing, 2023-Till date) — Domain: Automated code generation and documentation

ONGOING

Mr. Mohit Krishna (Enrollment No. 24MCSS08), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Completed, 2024-2026) — Domain: Generative AI

COMPLETED

Research Bio: Mohit conducted an empirical comparison of human-written vs. LLM-generated C++ code across 150 competitive programming problems, evaluating runtime, memory efficiency, and algorithmic complexity across varying difficulty levels. Findings showed AI-generated code was 3.4x faster and 14% more memory-efficient with greater consistency, though humans retained an edge in bit manipulation and math-heavy problems. The study also revealed declining human-AI complexity agreement on harder platforms (83.5% on LeetCode vs. 59.5% on Codeforces), pointing to current limitations in AI's advanced algorithmic reasoning.

Mr. Gaurav Bhardwaj (Enrollment No. 24mcsa08), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Completed, 2024-2026) — Domain: Adaptive Multi-Agent Orchestration

COMPLETED

Research Bio: Gaurav developed a multi-objective training framework for Small Language Models (SLMs) tailored to domain-specific adaptation. Optimize SLMs to achieve high-quality, protocol-adherent responses with minimal training iterations and computational cost. Demonstrate the approach in the psychotherapy domain while ensuring reliable, safe, and context-appropriate responses.

Mr. Aabhas Malpani (Enrollment No. 25mcsa02), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Ongoing, 2026-Till date) — Domain: Distributed Systems/Big Data

ONGOING

Research Bio: Aabhas is an M.Tech Research Scholar primarily working in the field of Big Data and distributed data processing, with a focus on Hadoop-based technologies, scalable data processing, and performance optimization for large-scale datasets. His research explores efficient and reliable approaches for processing and managing data in distributed computing environments. As a secondary area, he is working on Byzantine Fault Tolerance (BFT), investigating fault-tolerant and scalable mechanisms to enhance the reliability of distributed systems.

Mr. Harshit Singh (Enrollment No. 25mcsa07), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Ongoing, 2026-Till date) — Domain: Sparse Encoders LLM/Vision language models

ONGOING

Research Bio: My research work focuses on Vision-Language Models (VLMs) and their applications in understanding and processing visual and textual information. I am studying efficient and scalable VLM architectures, including Mixture-of-Experts (MoE) approaches, model fine-tuning, evaluation, and multimodal learning. My work involves understanding existing research, reproducing state-of-the-art methods, and experimenting with different architectures and datasets to improve the performance and efficiency of vision-language systems.

Mr. IKHLAS IMTIYAJ MANGURE (Enrollment No. 25mcsa17), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Ongoing, 2026-Till date) — Domain: Distributed Machine learning

ONGOING

Research Bio: Working on research in Distributed Machine Learning, focusing on efficient and scalable detection of network attacks, particularly DDoS attacks, from large-scale network traffic data. My work involves implementing and evaluating machine learning algorithms with emphasis on class-imbalance handling, feature analysis, model optimization, and reducing false negatives. It further explores distributed learning approaches to improve the scalability, efficiency, and robustness of machine learning systems for large-scale security applications.

Mr. Prashant Goswami (Enrollment No. 25mcsa08), Department of CSE, PDPM IIITDM Jabalpur, MP, India (M.Tech Ongoing, 2026-Till date) — Domain: LLM Inference

ONGOING

Research Bio: Prashant is working on efficient Large Language Model (LLM) inference by optimizing Transformer attention mechanisms for GPU execution. My work involves implementing memory-efficient attention techniques such as FlashAttention using CUDA and PyTorch, with emphasis on GPU memory access, parallelism, kernel optimization, latency, and throughput. It further explores advanced GPU-level optimizations to improve the performance and memory efficiency of LLM inference.