Artificial Intelligence & Machine Learning
Deep learning, generative AI, LLMs, RAG, computer vision
DR. DILIP KUMAR · NIT JAMSHEDPUR
Exploring the intersection of artificial intelligence, optimization, and real-world challenges — with my students and collaborators.
RESEARCH INTERESTS
Deep learning, generative AI, LLMs, RAG, computer vision
Metaheuristics, multi-objective optimization, feature selection, cloud resource provisioning
Edge intelligence, smart systems, healthcare IoT
Precision farming, crop monitoring, pest detection, drone systems
Lightweight authentication, cloud-IoT security, privacy-preserving systems
Time-series analysis, data mining, predictive analytics
FEATURED PROJECTS
AI-powered drone surveillance system for crop health monitoring and pest detection.
Efficient authentication and privacy-preserving mechanisms for resource-constrained IoT devices.
RAG-based research assistant built through the 2026 summer internship — document extraction, chunking, embeddings, retrieval and cited generation in a full-stack workspace.
Unsupervised DBSCAN clustering for phase segmentation and coal rank determination, in collaboration with Tata Steel. Patent work in progress.
Multi-objective VM placement in cloud data centres using improved TLBO and hybrid GA–PSO metaheuristics.
Researchers, industry partners and students interested in projects, internships or Ph.D. work in AI, optimization or intelligent systems are welcome to reach out.
Start a conversationLATEST NEWS
SELECTED PUBLICATIONS
ABOUT ME
I’m Dr. Dilip Kumar, Assistant Professor in the Department of Computer Science & Engineering at NIT Jamshedpur.
My work brings optimization and machine learning together to build useful, efficient intelligent systems. DKLab is my personal space for this research, the students who help shape it, and the ideas we explore through teaching and collaboration.
Ph.D. — NIT Jamshedpur · M.Tech (CSE) — NIT Rourkela · B.Tech — BIT Sindri
My studentsTEACHING & MENTORSHIP
Supervised learning, core algorithms, and model evaluation.
Generative models, transformers, LLMs, RAG, agents, and responsible AI.
Guided development at the intersection of AI, full-stack systems, and applied research. Register as a student →
GET IN TOUCH
For research collaboration, student projects, Ph.D. supervision or academic enquiries — send a message and it reaches me directly.
Department of Computer Science & Engineering