Kamal Acharya

Postdoctoral Research Associate at Baylor University

Teaching

Learning Through Clarity and Practice

I teach computing and artificial intelligence through conceptual clarity, hands-on implementation, and project-based problem solving.

10+ years Undergraduate & graduate instruction Research mentoring

Teaching Experience

2024

UMBC · NSF Cybersecurity Training

Teaching assistant and mentor for graduate training in artificial intelligence, machine learning, and cybersecurity.

Ongoing

Student & Research Mentoring

Capstone supervision, applied research guidance, reproducible workflows, and technical communication.

Teaching Areas

Programming & Software Development

C, C++, Python, PHP, data structures, and algorithmic problem solving.

AI, Machine Learning & Data Science

Artificial intelligence, machine-learning workflows, data mining, and interpretable AI.

Computer Systems

Computer organization, microprocessors, digital logic, and systems-level reasoning.

Networks & Communication

Computer networks, data communication, communication systems, and internetworking.

Teaching Interests

  • Machine Learning & Applied AI
  • Neurosymbolic AI
  • Time-Series Forecasting
  • Transportation Optimization
  • AI Research Methods

Mentoring & Collaboration

Supporting the Next Question

I help students formulate clear research questions, build reproducible computational workflows, and communicate technical results effectively. I welcome guest lectures, workshops, curriculum collaboration, and research mentoring opportunities.

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