I am a PhD candidate at the Harvard John A. Paulson School Engineering and Applied Sciences, where I am advised by Prof. Stratos Idreos.

In my research, I design techniques that accelerate machine learning and data science pipelines, specifically, adressing the bottleneck of repeated data movement. I am also interested in designing systems under novel paradigms for exploratory analysis of scientific data sets. I also spent a summer working at HPE (now Micro Focus), where I designed techniques to summarize network traffic data.

Prior to joining Harvard, I was an undergraduate at Lahore University of Management Sciences (LUMS), where, as a part of the Networks and Systems Group, I investigated ways to improve buffer management in data center networks. During this time, I also spent a summer at École Polytechnique Fédérale de Lausanne (EPFL) working on techniques to enhance privacy of social network graphs.

Please see my resume for more details.


Selected Publications

Rapid Training of Very Large Ensembles of Diverse Neural Networks. [demo]
Abdul Wasay, Yuze Liao, Stratos Idreos.
Preprint, 2018.

The Periodic Table of Data Structures. [website]
Stratos Idreos, Konstantinos Zoumpatianos, Manos Athanassoulis, Niv Dayan, Brian Hentschel, Michael S. Kester, Demi Guo, Lukas Maas, Wilson Qin, Abdul Wasay, Yiyou Sun.
IEEE Data Engineering, 2018.

Data Canopy: Accelerating Exploratory Statistical Analysis. [website]
Abdul Wasay, Xinding Wei, Niv Dayan, Stratos Idreos.
ACM SIGMOD, 2017.

Queriosity: Automated Data Exploration. [website]
Abdul Wasay, Manos Athanassoulis, Stratos Idreos.
IEEE Big Data, 2015.

Rethinking Buffer Management in Data Center Networks.
Aisha Mushtaq, Asad Khalid Ismail, Abdul Wasay, Bilal Mahmood, Ihsan Ayyub Qazi, and Zartash Afzal Uzmi.
ACM SIGCOMM, 2014.

Contact

Email
awasay [at] seas.harvard.edu

Office
117 Maxwell Dworkin,
33 Oxford Street,
Cambridge, MA 02138