I am a fourth-year Ph.D. student in Computer Science at Virginia Tech, mentored by Professor Dr. Shaddi Hasan. My research focuses on Internet Measurement, Broadband Internet Policy, and Internet Data Analytics, addressing real-world challenges in Computer Networks and Information and Communication Technologies for Development (ICTD). I study how Internet infrastructure and routing affect end-user connectivity and Quality of Experience (QoE), using large-scale measurement data to understand network performance, accessibility, and resilience.
My expertise combines Statistical Methodologies with Machine Learning to analyze large-scale Internet measurement datasets. My research presented at ACM IMC 2024 — the Broadband Integrity project (paper: “Red is Sus”) — analyzes measurement data to identify discrepancies in the U.S. National Broadband Map. This work develops automated methods to detect questionable service availability claims by ISPs and generate insights that support Broadband Transparency and Broadband Equity.
Building on this work, I am developing NetBreakout, a measurement-driven approach for mapping mobile network egress topology using large-scale traceroute data. I am also interested in IP Geolocation Validation, using network measurements and topology analysis to evaluate and improve the accuracy of geolocation databases widely used by Internet services and measurement platforms. My work on Internet measurement and resilience was recognized through my selection as a 2026 Internet Society Pulse Fellow in the Internet Resilience category.
My prior experience as a Network Planner provides practical insight into broadband and cellular infrastructure, helping me bridge the gap between network measurement research and real-world network operations.
Through my work, I aim to develop measurement methods and data-driven tools that help researchers, network operators, and policymakers better understand Internet infrastructure and improve connectivity, performance, and Digital Equity.
If you’re interested in collaborating, feel free to email me at tauhid.eecs@gmail.com.
News
- March 2026: 🎉 Successfully passed my PhD preliminary defense and am now officially ABD (All But Dissertation), entering the final stage of my PhD in Computer Science.
- February 2026: 🌍 I’m honored to share that I’ve been selected as a 2026 Internet Society Pulse Fellow under the Internet Resilience category.
- December 2025: 🎓 Earned my MS degree with highest distinction (GPA 4.0/4.0) along the way to my PhD at Virginia Tech.
- October 2025: Our paper NetBreakout: A Scalable Methodology for Mapping Mobile Network Egress Topology has been accepted for presentation at the PRIME Workshop, co-located with ACM IMC 2025.
- April 2025: Accepted to the Doctoral Consortium and presented my poster at ACM COMPASS 2025, titled: Signal Sense: Investigating Mobile Broadband Inequality in the Global South.
- February 2025: Ranked as a top finalist for the Internet Society Pulse Fellowship 2025, ranking in the top 10% of around 200 global applicants across 51 countries.
- December 2024: Selected as a Shadow PC member for ACM CoNEXT 2025. Could not participate due to a scheduling conflict.
- November 2024: Presented the Red is Sus paper at ACM IMC 2024.
- August 2024: Started my term as Vice President, CS Graduate Council.
- May 2024: Received acceptance notification for the Red is Sus full paper at IMC 2024.
- April 2024: Elected as Vice President, CS Graduate Council.
- September 2023: Attended ACM SIGCOMM 2023 in New York City.
- September 2023: Presented a Research Poster at TPRC 2023 in Washington, D.C.
- February 2023: Thrilled to announce the acceptance of my first “First Author” academic paper, Deep Learning Fusion Model for LTE Traffic Forecasting and Resource Allocation, published in the IEEE Access journal.
- August 2022: Began my PhD journey in the Department of Computer Science at Virginia Tech.
- August 2022: Resigned from my role as a Network Planning Expert at a leading mobile network operator in Bangladesh after five years of my tenure.
- June 2022: Fulfilled the course and research requirements for a Master’s in Computer Science and Engineering from BRAC University with the highest distinction (CGPA 4 out of 4 scale).
