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Azim Ahmadzadeh, Ph.D.
Badri Adhikari, Ph.D.
Reda Amer, Ph.D.
Sanjiv K. Bhatia, Ph.D.
Uday K. Chakraborty, Ph.D.
Sharlee Climer, Ph.D.
Lav Gupta, Ph.D.
Mark Hauschild, Ph.D
Cezary Z. Janikow, Ph.D.
Wenjie He, Ph.D.
Henry Kang, Ph.D.
Nazire Koc
Sambriddhi Mainali, Ph.D.
Keith W. Miller, Ph.D.
Abderrahmen Mtibaa, Ph.D.
Bal Krishna Nyaupane
Laika Satish
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Associate Professor
Ph.D. in Computer Science, University of Missouri-Columbia, 2017
B.E. in Computer Engineering, Tribhuvan University, Kathmandu, Nepal, 2009
Email: adhikarib@umsl.edu
Office: 312 ESH
Phone: (314) 516-7393
Fax: (314) 516-5400
Office Hours:
SP2025
In-person or online office hours: Wednesdays from 3pm to 4pm & 5:30pm to 6:45pm.
Please email in advance to avoid waiting. Appointments can also be also be scheduled via email. The Zoom link for online office hours is: https://umsystem.zoom.us/my/adhikarib
Main Research Interests
- Deep learning
- Interpretable deep learning
- Health informatics
Selected Research Involvements
- Interpretable machine learning methods for deep learning applications in the areas of health informatics.
- Development of process-aware educational tools to enhance the learning of writing and computer programming.
- Deep learning-based tools and methods for solving various problems in bioinformatics (supported by NSF, NIH, NVIDIA, and Google).
External Grants/Contracts
- $163,535, National Science Foundation CISE CRII, 2020 (PI).
UM/UMSL Grants/Contracts
- $6,450, UMSL Research Award, 2019 (PI).
- $5,415, UMSL Research Award, 2018 (PI).
Select publications
- Adhikari, Badri. Thinking Beyond Chatbots’ Threat to Education: Visualizations to Elucidate the Writing or Coding Process. Education Sciences 13(9), 922 (2023).
- Adhikari, Badri. A fully open-source framework for deep learning protein real-valued distances. Nature Scientific Reports 10, 2045–2322 (2020).
- Adhikari, Badri. DEEPCON: protein contact prediction using dilated convolutional neural networks with dropout. Bioinformatics 36, 470–477 (2020).