Saket Anand
Associate Professor
B-410, New Academic Block
Tel:+91-11-2690 7425

Current Students

PhD Students

M.Tech. Students (Thesis)

B.Tech. Students (Thesis)

Prospective Students

If you find the following topics interesting, please get in touch. We may be able to use your contributions to these projects.

  • Visual Analytics for Wildlife Monitoring
  • The goal of this project is to identify the species and/or individual in an image. This project is in collaboration with Wildlife Institute of India, and we work with camera trap images obtained from the field. We plan to apply techniques from robust statistics and machine learning to ensure reliable detection and identification of animals in cluttered backgounds. The ideal candidate should have very strong programming skills and a knack for probabilistic/statistical methods.

  • Vision based Perception for Road Safety
  • The following problems are of interest to this project

    • Road Surface Segmentation
    • Traffic Light Detection and Tracking
    • Road Sign Detection and Classification
    • Pedestrian Detection and Tracking
    • Accident/Near-Miss Detection and Prediction
    • Trajectory forecasting
    • Multi-sensor Calibration and Active Learning equipped Annotation Tool

    The objective is to develop robust algorithms for the aforementioned problems, which can run in near-real time. We plan to solve these problems using Machine Learning tools and are looking for strong B.Tech. and M.Tech. students who are familiar with libraries like OpenCV, Scikit-learn, PyTorch and TensorFlow.

  • Remote Sensing and Satellite Imagery for Agriculture
  • The following problems are of interest to this project

    • Super-resolution using cross-sensor signals
    • Pose estimation of Satellite sensors
    • Pixel-level segmentation for crop-type classification
    • Sensor model and geometry aware learning algorithms

    The objective is to develop efficient algorithms for performing inference using satellite imagery in a manner that can provide accurate farm-level predictions. The emphasis would be on small-scale farms in India and elsewhere. We are interested in accurate predictions of key cropping parameters like crop-type, moisture availability, sowing / harvesting dates, and soil parameters like moisture and nutrients. The skills required for this project are ML/DL frameworks like PyTorch, TensorFlow, etc. and a good knowledge of linear algebra and probability and statistics. Sound knowledge of geometric computer vision and signal processing is a big plus. B. Tech. and M. Tech. students are welcome for a thesis opportunity.

Past Students


  • Lokender Tiwari (PhD, Mar. 2021; now, research scientist at TCS Research)
  • Ankita Shukla (PhD, Oct. 2020; now, post-doc at Arizona State University)

Research Assistants


B. Tech. (BTP)