Current Role
Graduate Research Assistant, University of Maryland, Baltimore County (UMBC).
Kamal Acharya
Ph.D. Candidate in Information Systems · Advanced Air Mobility · Neurosymbolic AI
Researcher and educator focused on interpretable AI systems for transportation planning, demand modeling, and optimization in safety-critical environments.
Profile Snapshot
Research Domains
Neurosymbolic AI, Advanced Air Mobility demand modeling, optimization, trustworthy AI.
Academic Output
15+ publications across IEEE journals, IJCAI, AIAA, and related venues.
Teaching Experience
10+ years of university-level teaching and mentorship in computing and AI.
Education
Ph.D., Information Systems
University of Maryland, Baltimore County (UMBC) · 2026
Dissertation: Enhancing Demand Modeling for Advanced Air Mobility Using Data-Driven Learning and Neurosymbolic AI
M.Sc., Information System Engineering
Purbanchal University · 2019
B.E., Electronics and Communication Engineering
Tribhuvan University · 2011
Experience
Graduate Research Assistant · UMBC
2023–Present
- Developed data-driven and neurosymbolic models for AAM demand estimation.
- Built rolling-horizon simulation workflows for mobility planning scenarios.
- Contributed to NASA ULI-aligned infrastructure and policy analysis.
Teaching Assistant (AI/ML Cybersecurity Program) · UMBC
2024
- Supported NSF-funded graduate training in AI/ML and cybersecurity.
- Mentored interdisciplinary student teams on research implementation and reporting.
Research Assistant · Embry-Riddle Aeronautical University
2022–2023
- Worked on air mobility prediction and optimization under emergency scenarios.
- Built deep learning workflows for micro-level and macro-level mobility prediction.
Selected Achievements
- IEEE CIS Publication Spotlight recognition (2024).
- Outstanding Reviewer, IEEE Transactions on Neural Networks and Learning Systems (2024–2025).
- Doctoral Research Poster Award, UMBC (2025).
- Leadership roles in IEEE Baltimore Section and technical conferences.
Skills
Programming: Python, C/C++, SQL, PHP
AI/ML: Deep Learning, Reinforcement Learning, Neurosymbolic AI, Time Series Forecasting
Tools: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, MATLAB, Git
Languages: English, Nepali, Hindi
Professional Links
Google Scholar | ORCID | LinkedIn | GitHub
Last updated: April 2026