News
April 2021
Papers accepted at PVLDB and AIES 2021.
March 2021
Two papers accepted at SIGMOD 2021.
Feb 2021
Paper accepted at VLDB Journal.
April 2020
Honorable Mention at SIGMOD 2020 programming contest
Jan 2020
Paper published at AIES 2018
Nov 2017
Paper accepted at AAAI 2018
Nov 2017
Paper accepted at SIGMOD 2018
Jul 2017
ACM SIGSOFT Distinguished Paper award to Fairness Testing: Testing Software for Discrimination in FSE 2017.
Jan 2017
Presented our benchmarking paper on Influence Maximization at
North East Database Day, 2017.
Oct 2016:
First recipient of
Krithi Ramamritham Computer Science Scholarship for contribution to the research of databases.
Sep, 2016: Paper accepted in SIGMOD 2017
Debunking the myths of Influence Maximization in our new SIGMOD paper.
Sep, 2016:
Attended
VLDB 2016 from 5th-9th September. Presented the paper, discussing bloomgraphs : an efficient, compact graph datastructure for efficient conductance calculation.
June, 2016:
Attended
SIGMOD 2016 from 26th June-1st July.
I am a graduate student at the University of Massachusetts Amherst. My research interests span the broad area of data analytics with particular focus on entity resolution and social network analysis.
I did my undergraduate studies from the Computer Science department of Indian Institute of Technology Delhi (IIT Delhi) in May, 2014. Prior to joining UMass, I worked as a budding scientist at Xerox Research Centre India, Bangalore for a year.
I am in the job market. CV
Recent Publications:
Sainyam Galhotra, Behzad Golshan and Wang-Chiew Tan. Adaptive Rule Discovery for LabelingText Data in SIGMOD, 2021.
Sainyam Galhotra, Donatella Firmani, Barna Saha and Divesh Srivastava. Beer: Blocking for Effective Entity Resolution in SIGMOD (Demo), 2021.
Sainyam Galhotra, Donatella Firmani, Barna Saha and Divesh Srivastava. Efficient and Effective ER with Progressive Blocking in VLDB J., 2021.
Sandhya Saisubramanian, Sainyam Galhotra and Shlomo Zilberstein. Balancing the Tradeoff Between Clustering Value and Interpretability in AIES 2020.
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal and Barna Saha. Connectivity in Random Annulus Graphs and the Geometric Block Model in Approx-Random 2019.
Sainyam Galhotra, Arya Mazumdar, Soumyabrata Pal and Barna Saha. The Geometric Block Model in AAAI 2018.
Sainyam Galhotra, Donatella Firmani, Barna Saha and Divesh Srivastava. Robust Entity Resolution with Random Expansion in SIGMOD Conference, 2018 ACM SIGMOD Most Reproducible Award!
Sainyam Galhotra, Yuriy Brun and Alexandra Meliou. Fairness testing: testing software for discrimination in ESEC/FSE Conference 2017.
ACM SigSoft Distinguished Paper Award Media Coverage: ACM News , MIT Technology Download, EnterpriseTech, Bloomberg
Akhil Arora*, Sainyam Galhotra* and Sayan Ranu. Debunking the Myths of Influence Maximization: An In-Depth Benchmarking Study in SIGMOD, 2017 ACM SIGMOD Most Reproducible Award!
Sainyam Galhotra*, Akhil Arora* and Shourya Roy. Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models in SIGMOD , 2016
Sainyam Galhotra, Amitabha Bagchi, Srikanta Bedathur, Maya Ramanath and Vidit Jain. Tracking the Conductance of Rapidly Evolving Topic-Subgraphs in VLDB, 2016
Sainyam Galhotra , Akhil Arora, Srinivas Virinchi and Shourya Roy. ASIM: A Scalable Algorithm for Influence Maximization under the Independent Cascade Model in WWW, 2015 [Poster]
Contact:
sainyam at cs dot umass dot edu