Arun Raman

Assistant Professor
Department of Electrical and Electronics Engineering
Birla Institute of Technology and Science (BITS) Pilani, Goa

Education

• Ph.D., Systems and Entrepreneurial Engineering, University of Illinois at Urbana-Champaign (UIUC), 2020.
• M.Tech, Systems and Control Engineering, IIT Bombay, 2012.
• B.Tech, Electronics and Instrumentation Engineering, SASTRA University, 2010.

Experience

• Associate Professor, Dayananda Sagar University followed by Atria Univeristy, Bangalore (2022-2023).
• C.V. Raman postdoctoral fellow, Computer Science and Automation, IISc Bangalore (2020-2022).
• Research Associate, Production and Quantitative Methods, IIM Ahmedabad (2014-2015).
• Edison Engineering Program, GE Oil and Gas (now Baker Hughes) (2012-2014).

Current interests

• Intelligent Tutoring Systems and Supervisory Control.
• Autogenerating problems for Learning and Assessment at scale.
• Automated Puppetry, and in general the intersection of Technology and Art.
• Control of Discrete Event Systems, and in general formal methods in control.

Recent work

• Overall 4th position (with Sagnik Das, Team Optima). Shell.ai Hackathon for Sustainable and Affordable Energy: Agricultural Waste Challenge, October 2023.
• Arun Raman, Sapna Grover, Hema Banati, Does Bilingual Specification impact students' comprehension of problems in Introductory Programming? ACM Compute Conference, 2023.
• Nimisha Agarwal, Viraj Kumar, Arun Raman, Amey Karkare, A Bug's New Life: Creating Refute Questions from Filtered CS1 Student Code Snapshots, ACM Global Computing Education Conference (CompEd), 2023 (Best Paper Award).
• Viraj Kumar, Arun Raman, Helping Students Develop a Critical Eye with Refute Questions, ACM SIGCSE Technical Symposium Workshops, March 2023.
• Arun Raman, Viraj Kumar, Programming Pedagogy and Assessment in the Era of AI/ML: a Position Paper, ACM Compute Conference, November 2022.

Activities

• Attended the Pingala Interactions in Computing 2024!
• Reviewer, IEEE Indian Control Conference 2023.
• Reviewer, ACM SIGCSE 2023.
• Program Committee, ACM Compute 2023.

Teaching

• Digital Design Lab, Electronic Instrumentation and Intrumentation Technologies (BITS Pilani, Goa).
• Applied Machine Learning (Dayananda Sagar University, Atria University).
• Linear Algebra (Atria University).
• Mathematical Foundations of Data Science (redirects to YouTube for the recording of lectures).

For further information click on:

• Google Scholar