Dr. Ihsan Ayyub Qazi @ LUMS

Associate Professor of Computer Science

Syed Babar Ali School of Science & Engineering

Lahore University of Management Sciences (LUMS)

[CV] [Email] Phone: +92 42 35608368

I'm broadly interested in researching networked systems and their societal impacts. My current research centers on digital development, countering misinformation, cloud/edge computing and the interplay between technology and public policy.

Research: Cognitive Reflection & Misinformation

Research: Rethinking Web for Affordability

What ChatGPT means for Higher Education?

June, 202[Journal of Development Economics, 2023]: Misinformation is a growing concern in developing countries with potentially far-reaching consequences. We evaluate whether educational interventions improve discernment of news using a randomized control trial. We find no effect of video-based general educational messages. However, when such video messages is combined with personalized feedback, accuracy rate improves. You can read the full paper here.

September, 2022  [ACM CoNEXT, 2022]: Despite the popularity of entry-level smartphones in developing countries, little is known about how mobile video performs over such devices. We conducted the first empirical evaluation of mobile video performance under memory pressure. Our user study measures how frequently smartphones encounter memory pressure. We explore various strategies for reducing the impact of memory pressure.

September, 2022  [ACM IMC, 2022]: Today, more than 200 million users use Android Go, a mobile operating system for entry-level smartphones. Yet little is known about its impact on mobile Web performance. We conducted the first empirical study about the causal impact of Android Go using controlled experiments and a set of methodological approaches from the econometrics literature.

July, 2022  [Harvard Kennedy Misinformation Review, 2022]: The uncertainty surrounding the COVID-19 pandemic has been fueled by the COVID-19 “infodemic.” We evaluated the relationship between individual differences in cognitive reflection and the ability to discern between true and false COVID-19 information using a random sample of 621 low- and middle-income users in Pakistan. We find that higher cognitive reflection test scores are associated with greater truth discernment for COVID-19 headlines, less trust but greater use of formal information sources, and greater demand for KN95 masks

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