101 G McLean Hall, Department of Computer Science,
The University of Iowa, Iowa City, IA 52242-1419
319 353 2956 (voice), 319 335 3624 (fax)
1:30-2:30 M, 10:30-11:30 W, 2:00-3:00 F (and by appointment).
I have a two-track research program. My primary research program is in
theoretical computer science, more specifically in the foundations of
distributed graph algorithms. Here I am interested in trade-offs between different
resources used by distributed algorithms (e.g., rounds, messages, bandwidth, network topology, randomness,
initial knowledge, etc.).
My research in distributed graph algorithms has intersections with other areas in theoretical computer science such as
approximation algorithms, combinatorial optimization, communication complexity, graph theory, information
theory, and randomized algorithms.
In addition, I am part of the interdisciplinary Computational Epidemiology Group at Iowa.
As part of my work with this group, I work on problems related to disease-diffusion,
disease-inference and disease-mitigation on contact networks. I design algorithmic solutions
to these problems that have low-cost implementations in healthcare settings.
A particular focus of our group is healthcare associated infections and
we are part of the CDC funded MInD Healthcare group.
See my dblp page or my google scholar page for a more complete list of
my theory publications. See compEpi publications for a list of
publications of the Computational Epidemiology group at Iowa.
COVID-19 modeling and non-pharmaceutical interventions in an outpatient dialysis unit
with Hankyu Jang, Philip Polgreen, and Alberto Segre
PLOS Computational Biology 2021 • journal version
Modeling and Evaluation of Clustering Patient Care into Bubbles
with D.M. Hasibul Hasan, Alex Rohwer, Hankyu Jang, Ted Herman, Philip Polgreen, Daniel Sewell, and Bijaya Adhikari
ICHI 2021 • arxiv
Can We Break Symmetry with o(m) Communication?
with Shreyas Pai, Gopal Pandurangan, and Peter Robinson
PODC 2021 • arxiv
Sample-and-Gather: Fast Ruling Set Algorithms in the Low-Memory MPC Model
with Kishore Kothapalli and Shreyas Pai
FST&TCS 2020 • conference version • arxiv
Connectivity Lower Bounds in Broadcast Congested Clique
with Shreyas Pai
• conference version • arxiv • PODC 2019 brief announcement
Distributed Approximation on Power Graphs
with Reuven Bar-Yehuda, Keren Censor-Hillel, Yannic Maus, and Shreyas Pai
PODC 2020 • conference version • arxiv
Household Exposure to Clostridioides difficile Infection in Family Members
with Aaron C. Miller, Alberto M. Segre, Daniel K. Sewell, and Philip M. Polgreen
JAMA Network Open 2020 • journal version
Spatiotemporal clustering of in-hospital Clostridioides difficile infection
with Shreyas Pai, Philip M. Polgreen, Alberto Maria Segre, and Daniel K. Sewell
Infection Control and Hospital Epidemiology 2020 • journal version
D. M. Hasibul Hasan.
- Former Students:
Shreyas Pai (2021, Aalto University Finland),
Talal Riaz (2019, Yelp),
Vivek Sardeshmukh (2016, Google),
Mauricio Monsalve (2015, Post-doc at CIGIDEN),
Andrew Berns (2012, U of Northern Iowa),
Donald Curtis (2011, Google),
Saurav Pandit (2010, Pond5),
Imran Pirwani (2008, Google),
Kevin Lillis (2008, St.Ambrose University),
Rajiv Raman (2007, IIIT Delhi),
Mirela Damian (2000, Villanova University),
Arobinda Gupta (1996, IIT Kharagpur)
Current Teaching (Fall 2021):
Here you can find course pages of classes I have taught since 2001.
Other Recent Activities:
Graduate Programs in CS at the University of Iowa
Visit the Graduate Programs pages to learn more about the
graduate degrees (PhD and MCS) offered by the Department of Computer Science at the University of Iowa.
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