Teaching

Teaching and Mentoring Experience

As a PhD candidate in Electrical Engineering at Pennsylvania State University, I have been actively involved in various educational and mentoring activities that complement my research work.

🎓 Graduate Teaching Experience

Research Mentoring

• Guidance and supervision of undergraduate research projects
• Collaborative research with fellow graduate students
• Knowledge sharing in neuromorphic computing and molecular dynamics simulations

Technical Skills Transfer

• Training team members in molecular dynamics simulation software
• Sharing expertise in computational modeling techniques
• Assisting with research methodology and data analysis

📚 Academic Contributions

Peer Learning

• Active participation in research group seminars and discussions
• Presentation of research findings to diverse academic audiences
• Contribution to departmental research presentations

Conference Presentations

• Educational presentations at international conferences (ICECE 2024, iCACCESS 2024)
• Knowledge dissemination through research publications
• Engagement with global research community

🔬 Research Areas for Teaching

Computational Methods

• Semiconductor device simulations
• Device physics analysis
• Materials science computational modeling

Machine Learning & AI

• Neural network architectures
• Bio-inspired computing systems
• Transformer models and attention mechanisms

Electronic Devices

• Neuromorphic computing devices
• Nanoelectronics and semiconductor physics
• Accessibility technology design

🎯 Future Teaching Interests

I am passionate about developing educational programs in:

• Computational Materials Science: Bridging theory and simulation
• Neuromorphic Engineering: Next-generation computing paradigms

📖 Educational Philosophy

My approach to teaching emphasizes:

• Hands-on Learning: Practical application of theoretical concepts
• Collaborative Research: Teamwork and knowledge sharing
• Innovation Focus: Encouraging creative problem-solving
• Social Impact: Using technology to address real-world challenges

🤝 Mentoring Activities

Research Collaboration

• Working with interdisciplinary teams on cutting-edge research
• Mentoring junior researchers in computational techniques
• Facilitating knowledge transfer between research groups

Community Engagement

• Promoting STEM education and research
• Encouraging participation in academic conferences
• Supporting diversity and inclusion in engineering research

Technical Mentorship

I provide specialized mentoring in:

• Neuromorphic device design and characterization
• Advanced semiconductor simulation tools (TCAD, HSPICE)
• Machine learning frameworks for device optimization
• Knowledge sharing in neuromorphic computing and device simulation tools

Research Collaboration

Working with faculty and research teams on:

• Training team members in semiconductor simulation software
• Collaborative problem-solving in device physics
• Research methodology and experimental design
• Publication writing and conference presentations

Laboratory Skills Training

I help students develop expertise in:

• Circuit Design & Simulation: Cadence Virtuoso, HSPICE, Spectre
• Device Characterization: AFM, SEM, probe station measurements
• Programming & Analysis: MATLAB, Python, data visualization
• Semiconductor Simulation: TCAD Sentaurus, device modeling
• Device Physics: Advanced simulation techniques

Interested in collaboration or have questions about my research areas? Feel free to reach out through any of the contact methods listed on my profile.