Suyash P. Awate Asha and Keshav Bhide Chair Professor, Computer Science and Engineering Department, Indian Institute of Technology (IIT) Bombay, Mumbai, India Associate Faculty Member: Centre for Machine Intelligence and Data Science (C-MInDS) Associate Faculty Member: Koita Centre for Digital Health Office: KR-114, Kanwal Rekhi Building Email: my-first-name@cse.iitb.ac.in, my-first-name.cse.iitb@gmail.com Curriculum vitae

Research

• Medical image computing
• Machine learning
• Image analysis
• Computer vision
• Statistical modeling and inference

Publications

• Google Scholar
• DBLP
• PubMed
• Curriculum vitae

Teaching

• CS 736: Medical Image Computing (inaugural offering in 2014; taught each year since)
• CS 663: Fundamentals of Digital Image Processing
• CS 215: Data Analysis and Interpretation
• CS 740: Mathematics for Visual Computing
• CS 101: Computer Programming and Utilization

Students

• PhD

  Vatsala Sharma (pre-synopsis completed) (CSE; Microsoft Research India PhD Award)
  Jimut Bahan Pal (C-MInDS; CMInDS Fellow, Prime Minister's Research Fellow)
  Tejomay Padole (CSE; TCS Research Fellow; co-guiding with P Bhattacharyya)
  Subhankar Nag (CSE)
  Koustav Pal (CSE; guiding with Z Chen)
  

• MTech, MS

  Soumya Mukherjee (CSE)
  Jay Gorakhiya (CSE)
  Russel Abreo (CSE)
  

• BTech, BTech+MTech (Dual-Degree)

  Varshith Anumalasetty (CSE)
  

• Several students involved through R&D courses

• Past students

• Prospective PhD students: I'm always looking for motivated PhD students in several areas of medical image computing, and several areas of machine learning for image analysis. Feel free to drop me an email to get in touch.


• Internships: I usually don't have such positions and may be unable to respond to your emails.

Personal