Research: I research networked systems (e.g., Internet, social media platforms, cloud data centers) and their societal impacts, focusing on technologies for developing regions, misinformation countermeasures, data privacy, and efficient cloud infrastructure design. I employ a mixed-methods approach in my research, utilizing generative AI, causal inference, privacy-preserving machine learning, and qualitative methods to address these challenges. Through an interdisciplinary lens, I aim to shape a digital future that is not only more efficient and secure, but also equitable and inclusive across global contexts. I lead the Internet, Data, and Society Lab (IDSL) at LUMS.

Digital Development

Countering Fake News

Privacy & Internet Censorship

Cloud/Edge Computing

Digital Development

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

Countering Fake News

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

Privacy and Internet Censorship

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

Cloud/Edge Computing & AI/Machine Learning

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