Saket Anand
Asst. Professor
A-510, New Academic Block
Tel:+91-11-2690 7425

Current Students

PhD Students

Research Associates

M.Tech. Students (Thesis)

B.Tech. Students (Thesis)

Prospective Students

I am presently looking for one highly motivated Ph.D. student (and multiple BTP/MTP students) to work in each of the following areas:

  • 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.

  • Personalized Speech Synthesis
  • In this project, we wish to understand the underlying principles governing pronunciation, accents and prosody that are key to natural sounding speech. Our goal is to model these latent parameters using advanced machine learning techniques and integrate these models with state-of-the-art speech synthesis tools.

    A key requirement in a natural sounding, personalized, speech synthesis system is its ability to mimic the accent and pronunciation of the user. Several approaches have been explored in the past including Synthesis by concatenation, Hidden Markov Models (HMMs) and Unit-Selection based synthesis. Recently, deep learning based approaches have been explored for natural sounding computer generated speech.

    I am looking for one PhD student with a strong background in Signal Processing and Probability & Statistics and a willingness to learn and apply Machine Learning algorithms. Strong programming skills (C/C++/Python) and good understanding of Signal Processing and/or Machine Learning techniques is required.

  • Vision based Perception for Driver Assistance
  • The following problems are of interest to this project

    • Lane Tracking
    • Road Surface Segmentation
    • Traffic Light Detection and Tracking
    • Road Sign Detection and Classification
    • Pedestrian Detection and Tracking

    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 Deep Learning tools and are looking for strong B.Tech. and M.Tech. students who are familiar with deep learning tools like Caffe/TensorFlow/Torch/Theano. If you have excellent programming skills and are excited about computer vision and machine learning, and you are interested in a longer-term association, please send me your CV and availability details in an email to me with the Subject Line:"[2018-Driverless Car Project]".

Past Students

  • Aditay Tripathi (co-supervised by Dr. Aanchan Mohan) (M.Tech. Thesis, Summer 2017)
  • Sarthak Ahuja (B.Tech. Project, 2016, co-advised by Dr. Chetan Arora)
  • Gullal Singh Cheema (M.Tech. Thesis, Summer 2016)
  • Shreya Tripathi (M.Tech. Thesis, Summer 2016)