Ananth Kalyanaraman
Professor
Akash Gopinath Rao
PhD student
B. Tech(NIT-Surathkal), M.S. (NYU)
Research: Parallel building blocks for
programming language frameworks
Oieswarya Bhowmik
PhD candidate
M. Tech., SRM University
Research: Scalable hybrid genomic workflows
Tazin Rahman
PhD candidate
B.S., Bangladesh University of Eng. & Tech.
Research: Scalable algorithms for genome
sketching and mapping
Krishu Thapa
PhD student
B.S., Kathmandu University
Research: AI/ML with Digital Ag and scientific
applications
Saiman Dahal
PhD student
B.E., Tribhuvan University
Research: HPC for accelerating combinatorial and
ML applications
Nathan Balcarcel
MS student
B.S., Washington State University
Research: ML for crop phenology
Alumni
I have had the
wonderful fortune and pleasure of advising and working with
these terrific students in the past.
PhD
advisees
Reet
Barik,
PhD '24
Dissertation: Scalable and efficient distributed frameworks for
influence maximization
Now @ Argonne National Lab
Kaniz Madhobi,
PhD '23
Dissertation: Mining electronic health records: Spatio-temporal
analysis of hospital patient trajectories
Now @ CDC
Dwaipayan
Choudhury,
PhD '22
Dissertation: Accelerating graph analytics using near data
processing
Now @ Intel
Neda
Zarayeneh, PhD '22
Dissertation: Dynamic network community detection: Metrics, methods,
and applications
Now @ Hitachi America
Priyanka
Ghosh, PhD '19
Dissertation:
Scalable methods for genome assembly
Now @ National
Institutes of Health
Paola
G. Pesantez Cabrera, PhD '18
Dissertation: Bipartite network community detection: Algorithms and
Applications
Now @ Research Assistant Professor @ AgAID Institute, WSU
Hao Lu,
PhD '17
Dissertation: Scalable
Parallel
Algorithms and Implementations for Large-scale Graph Analyses
Now @ Oak Ridge National Lab
Armen
Abnousi, PhD '17 (co-advised w/ S. Broschat)
Dissertation: Clustering of large-scale Protein Data Sets
Cleveland Clinic
Jeff
Daily, PhD '15
Dissertation: Scalable
Parallel
Methods for Analyzing Metagenomics Data at Extreme Scales
PNNL; now @ AMD
Inna Rytsareva,
PhD '14
Dissertation: Parallel
Algorithms
for Large-scale Graph Clustering on Distributed Memory Architectures
CDC, and now @ IBM
Turbo
Majumder, PhD '13 (co-advised w/ P. Pande)
Dissertation: On-Chip
Network-Enabled
Many-Core Architectures for Computational Biology Applications
IIT-D faculty; now @ Intel Labs
Changjun
(Andy) Wu, PhD '11
Dissertation: Parallel
Algorithms
for Large-scale Computational Metagenomics
Xerox Research; now @ Apple
Souradip
Sarkar, PhD '10 (co-advised w/ P. Pande)
Dissertation:
Network
on Chip Based Hardware Accelerators for Computational Biology
Bell Labs; now @ Agilent Tech.
MS advisees
Patrick
Keppler, MS '21
Thesis: An evaluation of read ordering for genome assembly
Now @
Tristan Mullis, MS '14
Thesis: Design and Implementation of Kepler Workflows for BioEarth
Now @ Schweitzer Engineering Labs
Meena
Rameshkumar, MS '14
Thesis: Evaluation of the MapReduce Paradigm for Parallel Suffix Array
Construction
Now @ Amazon
Md. Muksitul
Haque, MS '10
Thesis: DNAjig: A New Automated Design Methodology for Constructing
Arbitrary DNA Nanostructures
Now @ Stryker
Gaurav
Kulkarni, MS '09
Thesis: Scalable Parallel Algorithms and Software for Large Scale
Proteomics
Now @ Microsoft
Vandhana
Krishnan, MS '09
Thesis: Computational Approaches for Comparative Genomics and
Transcriptomics using 454 Sequencing Technology
Now @ Stanford Center for Genomics and Personalized Medicine
Undergraduate Researchers
Wade
Cappa, Summer 2022-Fall 2023
Sejal
Welankar, Spring 2022-Spring 2023
Jerome Stylos,
Summer 2018
Matt Green,
2016-2017
Ritche Long,
2016
Lyle
Dallas, 2014
Daryl Deford,
2013
Joseph Taylor, 2012
Lydia
Paradiso, 2012
Timothy Chapman,
2011
Michael
Borgens, 2011
Emma Conner, 2011
