PhD Candidate
CS@VT

I am a third-year Ph.D. student in Computer Science at Virginia Tech, mentored by Professor Dr. Shaddi Hasan. My research focuses on Broadband Internet Policy and Internet Data Analytics, with a passion for solving real-world challenges in Computer Networks and Information and Communication Technologies for Development (ICTD). I work at the crossroads of Internet Measurement, improving Quality of Experience (QoE), and using machine learning to help Internet Service Providers and regulators enhance network performance and accessibility.

My expertise combines a solid understanding of Statistical methodologies with practical applications of Machine Learning. I use these tools to analyze complex datasets, investigate broadband accessibility, and assess network performance, contributing to efforts aimed at closing the digital divide. My recent research, which was presented at ACM IMC 2024, focuses on enhancing the U.S. National Broadband Map by identifying and addressing discrepancies in service availability claims. This involves developing automated systems to detect low-quality service availability claims by ISPs and uncovering actionable insights to promote Broadband Equity.

I am focused on addressing societal challenges such as improving broadband access, enhancing the quality of experiences in cellular networks, and supporting data-driven policymaking. My prior experience as a Network Planner has provided me with valuable practical insights into broadband infrastructure, which I integrate into my academic work to bridge the gap between research and real-world applications.

Through my work, I aim to develop tools and analytics that enhance decision-making, foster equitable broadband deployment, and inform policies that advance Digital Equity in the Internet and telecommunications sector.

I am actively seeking summer internships for 2026 (with the possibility of extending into Fall 2026) in the fields of Internet Measurement and Data Science. I am eager to apply my skills, tackle industry challenges, and continue learning. If you’re interested in collaborating, feel free to email me at tauhid.eecs@gmail.com.

News

  • 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).