Badri Adhikari

Adhikari Lab at UMSL

Badri Adhikari’s group at the University of Missouri-St. Louis (UMSL).

Research

Research interests. Interpretable deep learning, Ed Tech, and health/bio informatics.

Artificial intelligence and deep learning intrigue me deeply. Recent progress in the field and the pace of the progress are fascinating but also alarming. In our group, we are interested in applied deep learning and health/bio informatics. We investigate and develop deep learning methods for improving human health, interpretable (explainable) when possible. Our research is funded by: the University of Missouri-St. Louis (UMSL), NVIDIA, Google Cloud Credits, the U.S. National Science Foundation (NSF), and the National Aeronautics and Space Administration (NASA).

Publications | People and photos | Projects @ Github | Acknowledgements

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).

Select Grants

• 2020, $163,535, National Science Foundation, “CISE CRII: Deep Learning Methods for Protein Inter-residue Distance Prediction”, Role: PI
• 2020, $256,496, National Aeronautics and Space Administration, “STTR Phase1: Autonomous Environmental Monitoring and Management Platform for Remote Habitats”, Role: Co-PI

Teaching

Many of my lecture recordings are in Youtube.

Courses

• Interpretable Machine Learning
• Deep Learning
• Artificial Intelligence
• Advanced Data Structures and Algorithms
• Principles of Data Visualization

Resources for students

• How to draw an effective concept map?
• An Overleaf/Latex report template
• Common data graphic forms

Workshops

• Hands-on workshop on deep learing, 2022
• Principles of effective data visualization, 2021
• Hands-on deep learning, 2018

Principal investigator

Badri ADHIKARI
Associate Professor
Department of Computer Science, University of Missouri-St. Louis
Founder of Process Feedback

Email: adhikarib@umsl.edu

Resume and Bio.

Online profiles: Google scholar, LinkedIn, ORCID, UMSL, Github.

Mailing address:
1 University Blvd. 312 Express Scripts Hall
St. Louis, MO 63121

Office address:
Room 312, 3rd floor in Express Scripts Hall (ESH) building.