Research: My research aims to improve the affordability, accessibility, and privacy of networked systems. My current research centers on building technologies for the developing world, using computational social science, machine learning, and causal inference to develop approaches to combat the negative externalities of technology (e.g., fake news, lack of data privacy), and design of architectures, protocols, and applications for large-scale edge datacenters. I lead the Networks and Systems Group (NSG) at LUMS.

Digital Development

Keywords: Affordable Web; Entry-level Smartphones; Digital Literacy; Causal Inference; Surveys; Mobile Video

• [Affordable Web Framework, ACM SIGCOMM 2023]

• [Affordability of Public Service Websites, TheWebConf 2023]

• [Validated Measures of Digital Literacy, Development Engineering 2023]

• [Impact of Memory Pressure on Mobile Video Quality of Experience (QoE), ACM CoNEXT 2022]

• [Causal Impact of Android Go, ACM IMC 2022]

• [Affordable Web Architecture, HotNets 2021]

• [Mobile Web Browsing Under Memory Pressure, SIGCOMM CCR 2020]

• [Google Web Light, WWW 2020]

• [MissIt, CHI 2020]

• [Mobile Video, SIGCOMM 2019p, IMC 2018p]

• [Mobile Web, IMC 2018p]

• [Facebook Free Basics, SIGCOMM CCR 2017 – Best Paper Award]

• [Facebook Free Basics, SIGMETRICS 2017p]

• [Mobile Phone Characteristics in Developing Regions, IMC 2016]

• [Long Distance WiFi, INFOCOM 2014p]

Countering Fake News

Keywords: Misinformation; Deepfakes; Digital (Media) Literacy; Cognitive  Reflection; Causal Inference; Randomized Control Trials; Deep Learning; Surveys

• [Countering Misinformation through Educational Interventions (RCT in Pakistan), JDE 2023]

• [Dataset Pruning for Efficient Audio Deepfake Detection, INTERSPEECH 2023]

• [Validated Measures of Digital Literacy, Development Engineering 2023]

• [Digital Literacy & Misinformation, Journal of Quantitative Description: Digital Media 2022]

• [Cognitive Reflection & COVID-19 Misinformation, HKS Misinformation Review 2022]

• [Audio Deepfake Detection Under Resource-Constrained Environments, INTERSPEECH 2022]

• [Audio Deepfake Detection Using Attention DNNs, ASRU 2021]

• [Robust Detection of Audio Deepfakes, INTERSPEECH 2021]

• [Randomized Control Trial on Countering Misinformation on Social Media, arXiv 2021]

• [Educational Interventions for Combating Fake News, AEA 2020]

Privacy and Internet Censorship

Keywords: Online Privacy; Censorship Measurements; Online Advertising; Ethics; Privacy-Preserving Communication

• [Hasaas, ECML PKDD 2023]

• [Censorship Economics, AEA 2020]

• [C-Saw, SIGCOMM 2018, HotNets 2015]

• [Ethics, NSDI 2018p]

• [Advention, HotNets 2017]

Cloud/Edge Computing & Machine Learning

Keywords: Data Pruning & Model Pruning; Privacy-Preserving Machine Learning; Flow Scheduling; Tail Latency; Load Balancing; Software-Defined Networking

• [Data Pruning for Efficient Fine-Tuning, NeurIPS ENLSP 2023]

• [Data Pruning for Efficient Model Pruning, EMNLP 2023]

• [Hasaas, ECML PKDD 2023]

• [FedPrune, arXiv 2021]

• [DAS, CoNEXT 2019]

• [2D, CoNEXT 2018]

• [DRIBS, NSDI 2017p]

• [SAPS, INFOCOM 2017]

• [RANS, HotNets 2016]

• [eSDN, SIGCOMM 2015p]

• [MulBuff, SIGCOMM 2014p]

• [PASE, SIGCOMM 2014] (PASE ns2 simulation code, patch applies to ns-2.34)

• [L2DCT, INFOCOM 2013] (L2DCT ns2 simulation code, patch applies to ns-2.35)

• [Coexistence of Datacenter Transports, ICC 2014]

• [Incast Congestion, Globecom 2015]

• [RACS, ICC 2013]