About

About the lab.

A research group within the Department of Mathematics at one of India's oldest and most respected technical institutes.

Who we are

The Soft Computing Lab is a research group in the Department of Applied Mathematics And Scientific Computing at the Indian Institute of Technology Roorkee, led by Prof. Millie Pant. The lab studies AI, machine learning, deep learning, nature-inspired and metaheuristic optimization — differential evolution, particle swarm optimization, artificial bee colony and genetic algorithms — and applies these methods to problems in engineering, healthcare, supply chains and decision-making.

Since its early work on particle swarm and differential evolution in the mid-2000s, the group has grown into a broad research program spanning theory (mutation strategies, convergence, hybrid metaheuristics), applications (medical imaging, watermarking, reservoir operation, supplier selection) and community building — including co-organizing the long-running SocProS (Soft Computing for Problem Solving) conference series and its associated Springer proceedings.

About IIT Roorkee

The Indian Institute of Technology Roorkee, established in 1847 as Roorkee College and granted IIT status in 2001, is one of India's foremost institutions for engineering, science and technology education and research. The Department of Applied Mathematics And Scientific Computing conducts research across pure and applied mathematics, including numerical analysis, optimization and computational intelligence.

Get in touch

Prospective students, collaborators and visitors are welcome to reach out directly to Prof. Pant, or use the department's general contact details below.

Location

Department of Applied Mathematics And Scientific Computing
Indian Institute of Technology Roorkee
SRE Campus, Uttar Pradesh 247001, India

Research focus

Numerical optimization · Evolutionary algorithms · Swarm intelligence · Artificial Intelligence · Machine Learning · Deep Learning

Est. footprint

460+ publications · 11,807 citations · h-index 48