Postdoctoral Research Associate at Baylor University
Teaching
My teaching connects core computing concepts with practical implementation and project-based learning. Across university courses and graduate AI and machine-learning training, I emphasize problem formulation, hands-on work, and clear technical communication.
May–Aug 2024
Operationalizing AI/Machine Learning for Cybersecurity Training
As a teaching assistant, I mentored interdisciplinary student teams and supported project implementation, technical reports, and research presentations in this NSF-funded graduate training program.
2012–2021
Lecturer at Janakpur Engineering College (2012–2013) and visiting lecturer at colleges affiliated with Tribhuvan University and Purbanchal University.
C, C++, PHP, and Python; programming fundamentals and software development.
Artificial intelligence, data mining, and graduate AI and machine-learning training.
Computer organization and architecture, 8085/8086 microprocessors, and real-time systems.
Data communication, computer networks, advanced internetworking, and analog and digital communication.
Digital logic design and foundational digital systems.
Computer graphics and visualization fundamentals.
Guidance for undergraduate major and minor projects, from framing a problem through implementation and technical documentation. In the NSF-funded training program, I mentored interdisciplinary teams on project work and research presentations.
I develop course materials and assessments that pair core concepts with applied examples, structured practice, and project work.
Mentoring & Collaboration
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.