CV

Education

PhD, Electrical Engineering and Computer Science 2023
Wichita State University, Wichita, KS
  • Dissertation: Methods to Achieve t-closeness for Privacy Preserving Data Publishing
MEd, Instructional Design and Technology (in progress) 2027
Franklin University, Columbus, OH
  • Specialization: Higher Education Curriculum & Instruction
MS, Electrical Engineering 2017
Rochester Institute of Technology, Rochester, NY
  • Graduate Paper: Color Face Recognition using Quaternion based Gabor Filter
BE, Electronics and Communication Engineering 2015
Visvesvaraya Technological University, India

Certification

Agentic AI Architecture — Cornell University 2026
  • Relevant Courses: CSI 641: Developing AI Intuition Using LLMs | CSI 642: Context Engineering with RAG | CSI 643: Building AI Agents | CSI 644: AI Strategy, Governance, and Ethics
Agentic AI Intensive — Harvard Data Science Initiative & Harvard Data Science Review 2026
  • An executive program on agentic AI workflow design, strategic frameworks, and responsible deployment.

Professional Experience

Assistant Professor of Computer Science July 2023 – Present
Champlain College, Burlington, VT
  • Teach 10+ courses across Computer Science and Data Analytics, from introductory programming to advanced Machine Learning and AI.
  • Designed and developed course materials to stay aligned with emerging technologies and improve student understanding.
  • Involve undergraduate students in full research lifecycle resulting in co-authored peer-reviewed publications.
  • Advise approximately 20 undergraduate students per academic year..

Courses Taught or Currently Teaching

  • CSI 140: Introduction to Programming
  • CSI 160: Python Programming
  • CSI 260: Advanced Python
  • CSI 300: Database Management Systems
  • CSI 301: Topics in CS
  • CSI 380: Emerging Languages
  • CSI 480: Topics in Artificial Intelligence
  • DAT 210: Data Analytics
  • DAT 230: Data Visualization
  • DAT 310: Big Data Analytics
  • DAT 330: Data Mining
  • DAT 410: Machine Learning
Graduate Assistant: Direct Instructor Aug 2021 – May 2023
Wichita State University
  • Independently developed and delivered lectures covering core Computer Science concepts as instructor on record.
  • Designed course materials, including assignments, exams, and lab exercises, to align with learning objectives.
  • Supervised hands-on lab sessions and practical exercises to reinforce theory.
  • Provided student support through office hours and detailed feedback.
  • Managed all course administration using the institutional learning management system.

Courses / Labs Instructed

  • CS 540: Operating Systems (Spring 2023)
  • CS 211: Introduction to Programming (Fall 2021, Spring 2022, Summer 2022, Fall 2022, Spring 2023)
  • CS 211L: Problem Solving & Programming Lab (Fall 2021, Spring 2022, Summer 2022, Fall 2022, Spring 2023)
Graduate Teaching Assistant Jan 2019 – May 2021
Wichita State University
  • Assisted faculty in teaching computer science courses by leading lab sessions, grading assignments and exams, and managing classroom technology.
  • Mentored students during lab sessions and office hours, providing guidance on projects and reinforcing complex concepts.

Supported Courses / Labs

  • CS 410: Program Paradigms
  • CS 464: Computer Networks
  • CS 194: Introduction to Digital Design
  • CS 211L: Problem Solving & Programming Lab
  • CS 594L: Microprocessor System Design Lab

Course & Curriculum Development

  • Program Innovation: Collaborating on re-designing the Data Analytics minor.
  • Curriculum Leadership: Led comprehensive revisions for the Data Analytics major, updating course descriptions, learning outcomes, assessment methods, and curriculum mapping in collaboration with the Program Director.
  • Instructional Design: Designed and implemented revised syllabi and instructional materials for Data Analytics (DAT 210), Data Visualization (DAT 230), and Big Data Analytics (DAT 310).
    • DAT 210: Following curriculum modifications, student enrollment increased by 50% and evaluations improved from 4.2 to 4.43/5.0.
    • DAT 310: Restructured to emphasize applied machine learning; student evaluation scores increased from 3.6 to 4.72/5.0.
  • Governance & Alignment: Successfully guided all curricular updates through internal institutional review and approval processes, ensuring alignment with program-level learning objectives.

Research Interests

Privacy-Preserving Data Publishing Data Anonymization Algorithms Trustworthy AI Machine Learning and Computer Vision Fairness and Bias in AI Systems

Publications

Journal

V. Thammanna Gowda, L. Humphrey, A. Kadoch, Y. Chen, O. Roberts. "Multi Attribute Stratified Sampling: An Automated Framework for Privacy-Preserving Healthcare Data Publishing with Multiple Sensitive Attributes." Advances in Science, Technology and Engineering Systems Journal (ASTESJ), Volume 11, Issue 1, pp. 51–68, 2026.
DOI: 10.25046/aj110106
R. Bagai, E. Weber, V. Thammanna Gowda. "Data Sanitization for t-Closeness over Multiple Numerical Sensitive Attributes." Transactions on Data Privacy, vol. 16, no. 3, pp. 191–210, 2023.

Conference

V. Thammanna Gowda, M. Lee, V. Campagna. "Enhanced Stratified Sampling: A Method for Privacy-Preserving Big Data Publishing." IEEE Conference on Future Machine Learning and Data Science (FMLDS), Sydney, Australia, 2024, pp. 265–269.
DOI: 10.1109/FMLDS63805.2024.00056
V. Thammanna Gowda, R. Bagai. "Generating t-closed partitions of datasets with multiple sensitive attributes." Proceedings of the 2023 7th International Conference on Cryptography, Security and Privacy (CSP), Tianjin, China, 2023, pp. 107–111.
DOI: 10.1109/CSP58884.2023.00024
V. Thammanna Gowda, R. Bagai, G. Spilinek, S. Vitalapura. "Efficient Near-Optimal t-Closeness With Low Information Loss." Proceedings of the 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Cracow, Poland, 2021, pp. 494–498.
DOI: 10.1109/IDAACS53288.2021.9661004

Research in Progress

V. Thammanna Gowda, R. Gouda Kulkarni. "Imaging Conditions and Demographic Bias in Face Recognition: A Systematic Multi-Source Investigation." Target: IEEE Transactions on Image Processing.
V. Thammanna Gowda, C. Hill, A. Zeng. "v-Difference Privacy: Theoretical Foundations and Polynomial-Time Approximation Algorithms." Target: IEEE Transactions on Knowledge and Data Engineering.

Paper Presentations

  • "Enhanced Stratified Sampling: A Method for Privacy-Preserving Big Data Publishing." FMLDS 2024
  • "Generating t-closed partitions of datasets with multiple sensitive attributes." CSP 2023
  • "Efficient Near-Optimal t-Closeness With Low Information Loss." IDAACS 2021

Grants and Funding

Subject Matter Expert: Full Stack Web Development Sept 2024 – Dec 2025
Davis Educational Foundation Grant, Champlain College
  • Serve as subject matter expert for a grant-funded initiative to develop full-stack web applications that visualize college curriculum competency data for institutional assessment.
  • Lead and supervise a multidisciplinary undergraduate student team, including hiring, mentoring, and performance oversight.
  • Coordinate project milestones, technical documentation, and deliverables in collaboration with grant administrators and institutional stakeholders.
  • Produce data-driven visualizations that support curriculum evaluation and evidence-based teaching improvements.
Student Experience Grant Fall 2025
John W. Heisse, Jr., M.D. Endowment Fund, Champlain College
  • Project: Undergraduate Co-authoring Extension of IEEE FMLDS Conference Paper to ASTES Journal Special Issue.
  • Role: Principal Investigator. Involved 4 undergraduate students.
Undergraduate Research Grant Fall 2024
ITS Program Budget, Champlain College
  • Project: Undergraduate Co-authored IEEE FMLDS 2025 Conference Paper.
  • Role: Principal Investigator. Involved 2 undergraduate students.
Graduate School Mill Levy Funds Spring 2022
Wichita State University

Professional Development

  • Maryland LEAD: Ethical Leadership Course, Leadership Community Service-Learning — February 2026
  • AI and Career Empowerment, University of Maryland Robert H. Smith School of Business — February 2026

Service

Institutional Service

  • Member, Academic Affairs Committee, Champlain College — Fall 2024–Present
  • Academic Advisor for undergraduate students, Champlain College — Fall 2023–Present

Professional Service

  • Reviewer, Advances in Science, Technology and Engineering Systems Journal
  • Reviewer, Journal of Circuits, Systems, and Computers
  • Steering Committee Member & Publicity Co-Chair, ALLDATA — 2025, 2026
  • Technical Program Committee Member, CCSC Northeast — 2025, 2026
  • Technical Program Committee Member, CSP — 2025, 2026
  • Technical Program Committee Member, IEEE FMLDS — 2024, 2025

Scholarships and Awards

  • Graduate Assistant Scholarship — Fall 2021–Spring 2023
  • Indian Student Association Scholarship — Spring 2019
  • Graduate Teaching Assistant Scholarship — Spring 2019–Spring 2021
  • Graduate Scholarship — Fall 2015–Spring 2017