Dear Students,
We are currently working on several projects, which are listed below. You can apply for (SOP/DOP/LOP) by filling out the Google form using the below link.
Eligibility: Student should be from A7/A3/A8 (or having these in their dual degree), CGPA cut-off: 7
Pre-requisites
- a. For ML projects in the list, applicant should have Sound knowledge of Machine Learning & Deep Learning concepts (CNNs, RNNs, GANs, etc.). They must also have Excellent programming skills in Python (particularly Pandas, TensorFlow, Keras, and Torch to name a few)
- b. Strong paper writing skills and willing to write a research paper with me (and not just
code!).
Available Projects,
1. 1. AI for Healthcare (Computer vision/ image analysis, Computational Pathology, MRI, CT Scan and AI Explainability)
2. 2. Computer Vision (image enhancement/ reconstruction) for autonomous cars/ UAV etc.
3. Qauntum computing for IoT / Security (for students having dual in B5 physics)
4. Golang development (developing server side blockchain applications; blockchain understanding is not essential)
5. App developer having JavaScript skills and ready to learn Decentralized App development
3
Application form Link:- https://forms.gle/i7bn4QiW2uHpQqV59 (you can click link/ copy and paste link in browser)
Application Deadline: 21th November night (The form has been closed and the selection process is in progress)
Interviews/ Interaction: 21st/ 22nd
Release of results: as and when selection happens latest by 27th nov
About our Research Group:
Students can visit our research group page at https://bitsiotlab.com/. We collaborate with world renowned researchers/ universities and the students will get an opportunity to work on cutting edge research problems.
*Note: Please note that the SOP will be rigorous (not casual) and you would be expected to prepare a journal paper as a part of the SOP/DOP/LOP work. On account a high number of Letter of Recommendation (LOR) requests, LOR request in future will only be entertained if the student has a good journal publication as a part of the project type course work.
Principal Investigator: Dr. Vinay Chamola (Link)