Saket Anand
Asst. Professor
B-410, New Academic Block
IIIT-Delhi
Tel:+91-11-2690 7425

Current Students

PhD Students

M.Tech. Students (Thesis)

  • Rohit Arora (co-supervised by Dr. Aanchan Mohan)
  • Ridha Juneja
  • Dimpy Varshni
  • Sonali Thakur (co-supervised by Dr. Pravesh Biyani)

B.Tech. Students (Research)

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

    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.

  • Target Tracking across a Surveillance Camera Network
  • The following problems are of interest to this project

    • Single-object tracking
    • Multi-object tracking
    • Target re-identification
    • Camera selection for efficient handovers

    The objective is to design scalable algorithms for tracking targets across a network of cameras, which can run in near-real time. We plan to solve these problems using a combination of Machine Learning, Deep Learning and Reinforcement Learning techniques. For this project, we are looking for B.Tech. and M.Tech. students who are very hands-on and are well-versed with libraries like OpenCV, Scikit-learn, PyTorch and/or TensorFlow.

Past Students

  • Palash Aggrawal and Raghav Jain
  • Shivam Aggarwal (co-supervised by Dr. Alexander Fell)
  • Anish Madan (mentored by Lokender Tiwari)
  • Deepak Magesh Srivastava (mentored by Ankita Shukla)
  • Madhav Thakker (co-supervised by Dr. Swapna Purandare)
  • Sarthak Bhagat and Shagun Uppal (B. Tech. Project, Monsoon 2019; mentored by Ankita Shukla)
  • Dhruva Sahrawat (B. Tech. Project, Winter 2019; co-supervised by Dr. Sanjit Kaul)
  • Pulkit Goel (B. Tech. Project, Winter 2019; co-supervised by Dr. Alexander Fell)
  • Pranav Nambiar (B. Tech. Project, Winter 2019; co-supervised by Dr. Chetan Arora)
  • Gargi Gupta and Tushita Rathore (B. Tech. Project, Winter 2019; co-supervised by Dr. Gaurav Arora)
  • Aravinda Kumaran (B. Tech. Project, Winter 2019)
  • Divyanshu Talwar (B. Tech. Project, Winter 2018)
  • Ananya Harsh Jha RA (Jan. 2017 - Aug. 2018, now pursuing M.S. at NYU)
  • Aditay Tripathi (co-supervised by Dr. Aanchan Mohan) (M.Tech. Thesis, Summer 2017; now pursuing PhD at IISc.)
  • Poojan Oza (M.Tech. Scholarly Paper; now PhD scholar at Johns Hopkins, working with Dr. Vishal Patel)
  • Sarthak Ahuja (B.Tech. Project, 2016, co-advised by Dr. Chetan Arora; now pursuing M.S. at CMU)
  • Gullal Singh Cheema (M.Tech. Thesis, Summer 2016)
  • Shreya Tripathi (M.Tech. Thesis, Summer 2016)