Dr. Ihsan Ayyub Qazi is a tenured Associate Professor in the Department of Computer Science at LUMS, Pakistan. He received his Ph.D. in Computer Science from the University of Pittsburgh, PA, USA in 2010 and the BSc. (Hons) degree from LUMS with a double major in Computer Science and Mathematics in 2005. He was a Visiting Research Scientist at the University of California, Berkeley, USA in 2017. Previously, he has held positions at BBN Technologies (Cambridge, USA) and the Centre for Advanced Internet Architectures (Melbourne, Australia). His research interests are in networked systems and span cloud computing, ICT for development, mobile/wireless networks, and online privacy. His work has appeared in premier networking conferences, such as ACM SIGCOMM, and journals including IEEE/ACM Transactions on Networking. His work was selected as a best ACM SIGCOMM CCR paper in 2018. He is a recipient of the Google Faculty Research Award, Facebook Research Awards, Google Faculty Research Award, Sheth International Young Alumni Achievement Award 2021 (University of Pittsburgh), LUMS Vice Chancellor's Alumni Achievement Award, and the Andrew Mellon Fellowship. His research has been sponsored by the United States National Science Foundation (NSF), World Bank, Australian Research Council (ARC), Facebook, Google, HEC, and Ignite.
| Title | Publication | Author | Year |
|---|---|---|---|
| Of Choices and Control - A Comparative Analysis of Government Hosting | Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC | 2024 | |
| Uncovering the Hidden Data Costs of Mobile YouTube Video Ads | WWW 2024 - Proceedings of the ACM Web Conference | 2024 | |
| Analyzing Ad Exposure and Content in Child-Oriented Videos on YouTube | WWW 2024 - Proceedings of the ACM Web Conference | 2024 | |
| Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset | Proceedings of the Annual Meeting of the Association for Computational Linguistics | 2024 | |
| Validated digital literacy measures for populations with low levels of internet experiences | Development Engineering | 2023 | |
| A Framework for Improving Web Affordability and Inclusiveness | SIGCOMM 2023 - Proceedings of the ACM SIGCOMM 2023 Conference | 2023 | |
| Countering misinformation on social media through educational interventions: Evidence from a randomized experiment in Pakistan | Journal of Development Economics | 2023 | |
| A First Look at Public Service Websites from the Affordability Lens | ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023 | 2023 | |
| Self-Supervised Dataset Pruning for Efficient Training in Audio Anti-spoofing | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | 2023 | |
| Learning Fast and??Slow: Towards Inclusive Federated Learning | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2023 | |
| Data Pruning for Efficient Model Pruning in Neural Machine Translation | Findings of the Association for Computational Linguistics: EMNLP 2023 | 2023 | |
| Coal Not Diamonds: How Memory Pressure Falters Mobile Video QoE | CoNEXT 2022 - Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies | 2022 | |
| Causal Impact of Android Go on Mobile Web Performance | Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC | 2022 | |
| Cognitive reflection is associated with greater truth discernment for COVID-19 headlines, less trust but greater use of formal information sources, and greater willingness to pay for masks among social media users in Pakistan | Harvard Kennedy School Misinformation Review | 2022 | |
| Dataset Pruning for Resource-constrained Spoofed Audio Detection | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | 2022 | |
| Rethinking Web for Affordability and Inclusion | HotNets 2021 - Proceedings of the 20th ACM Workshop on Hot Topics in Networks | 2021 | |
| Using Self Attention DNNs to Discover Phonemic Features for Audio Deep Fake Detection | 2021 IEEE Automatic Speech Recognition and Understanding Workshop, ASRU 2021 - Proceedings | 2021 | |
| Fake audio detection in resource-constrained settings using microfeatures | Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH | 2021 | |
| Mobile web browsing under memory pressure | Computer Communication Review | 2020 | |
| MissIt: Using Missed Calls for Free, Extremely Low Bit-Rate Communication in Developing Regions | Conference on Human Factors in Computing Systems - Proceedings | 2020 | |
| Deconstructing Google'sWeb Light Service | The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020 | 2020 | |
| RecFlow: SDN-based receiver-driven flow scheduling in datacenters | Cluster Computing | 2020 | |
| Reducing tail latency using duplication: A multi-layered approach | CoNEXT 2019 - Proceedings of the 15th International Conference on Emerging Networking Experiments and Technologies | 2019 | |
| Device-aware adaptive video streaming | SIGCOMM 2019 - Proceedings of the 2019 ACM SIGCOMM Conference Posters and Demos, Part of SIGCOMM 2019 | 2019 | |
| Scylla: Interleaving multiple IoT stacks on a single radio | CoNEXT 2018 - Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies | 2018 |