Fahad Rafique Dogar
Associate Professor
(Computer Science &
Tisch College)
Director,
Software Systems Program
Associate Professor
(Computer Science &
Tisch College)
Director,
Software Systems Program
My research focuses on designing technologies for social impact, bridging several areas within computer science: systems and networks, human–computer interaction, and generative AI. My students and I, as part of the NAT (Networking At Tufts) group, are currently exploring both how large language models (LLMs) can be applied in domains such as accessibility/healthcare and education, and how to make these models themselves more accessible, efficient, and usable through suitable systems and interaction design.
Before joining Tufts University, I was a visiting assistant professor at LUMS, Pakistan. During my sabbatical in 2023, I was the Senior Fellow with the Burnes Center for Social Change at Northeastern University. I completed my undergrad from LUMS (Pakistan), Ph.D. from Carnegie Mellon University, and have worked as a post-doctoral researcher at Microsoft Research in Cambridge, UK.
Related project: Slack-Aware Networking.
For a full list of publications, please see my Google Scholar page.
For a complete list of my publications, please visit my Google Scholar page.
ACM ASSETS 2025. Best Student Paper Award.
This paper presents NeuroBridge, an online platform that uses large language models to simulate an autistic-style conversational partner and four cross-neurotype scenarios for neurotypical users. The system provides interactive, feedback-driven dialogues that help neurotypical participants better understand direct and literal autistic communication styles and reflect on their own role in miscommunications. A user study with neurotypical adults shows improved appreciation of autism as a social difference requiring mutual understanding, and highlights both the promise and risks of AI-generated representations of disability for shaping attitudes.
ACM ASSETS 2024.
This paper presents TwIPS, a texting application powered by large language models designed to simplify conversational nuances for autistic users, improving accessibility and ease of communication.
Usenix OSDI 2024.
This paper explores methods for estimating the completion time of machine learning jobs by focusing on predictability-centric scheduling approaches, improving resource utilization in computing environments.
ACM CoNEXT 2023.
This study measures latency to the current and predicted cloud edge of three major cloud providers around the world. Our measurements use the RIPE Atlas platform targeting cloud regions, AWS Local Zones, and network optimization services that minimize the path to the cloud edge. An analysis of the digital divide shows rising inequality as the relative difference between users closest and farthest from cloud compute increases.
ACM SoCC 2022.
This paper explores the concept of treating network resource management as a database problem, proposing solutions to efficiently manage and optimize resources in cloud and data center environments.
ACM ASSETS 2022.
This paper presents an augmented reality application designed for therapists and educational professionals working with individuals with autism, providing customizable and interactive tools to enhance therapy and education.
ACM CSCW 2021.
This empirical study investigates the impact of network outages on user experience in augmented reality-based remote collaboration, providing insights into how interruptions affect usability and performance.
ACM CoNEXT 2020.
This paper discusses a novel approach to quality of service (QoS) using cloud overlays, highlighting techniques to improve the performance and reliability of cloud-based applications.
ACM CHI 2020.
This paper explores the use of missed calls as a communication method, enabling free, extremely low bit-rate communication in scenarios where traditional methods are cost-prohibitive.
ACM CoNEXT 2019.
This paper presents a multi-layer approach to reducing tail latency in networked systems through the use of duplication, improving the performance and reliability of cloud services.
Program Committee: ACM CoNEXT 2024; USENIX NSDI 2025; ACM SoCC 2022; USENIX NSDI 2021;
ACM SoCC 2021; IEEE ICNP 2021; ACM CoNEXT 2018; ACM SoCC 2018; ACM SoCC 2017;
PAM 2016; ACM CoNEXT 2015 (Student Workshop); IEEE ICNP 2015; ACM/IEEE ANCS 2015; IEEE ICNP 2014.
Leadership & Organizing Roles:
Leadership Committee,
Public Interest Technology New England (PIT-NE) (2024–present);
Co-Chair, New England Networking and Systems Day (NENS) 2019;
Co-Chair, ACM ICN Travel Grant 2018;
Deputy Program Chair, ACM Turing 50th Conference (2017);
Co-Chair, ACM SIGCOMM Mentoring Program (2015–2017);
Area Editor, ACM SIGCOMM CCR Magazine (2015–2018);
Co-Organizer, NENS (2015, 2016).
Panelist: NSF CNS NeTS (2022, 2017 ×2).
External Reviewer: IEEE/ACM Transactions on Networking; IEEE Transactions on Mobile Computing; USENIX NSDI 2015.
Office Address: 440F Joyce Cummings Center, 177 College Avenue, Medford, MA 02155
Email: fahad@cs.tufts.edu