Senjuti Basu Roy
Professor, Computer Science
- senjuti.basuroy@njit.edu
- 973-596-3662
- 4302 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; The University of Texas at Arlington; Computer Science; 2011
M.S.; The University of Texas at Arlington; Computer Science; 2007
B.Tech.; University of Calcutta; Computer Science and Engineering; 2004
Website
2026 Fall Courses
DS 488 - INDEPENDENT STUDY IN DS
DS 792B - PRE-DOCTORAL RESEARCH
CS 790A - DOCT DISSERTATION & RES
CS 792 - PRE-DOCTORAL RESEARCH
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 725 - INDEPENDENT STUDY I
CS 726 - INDEPENDENT STUDY II
DS 790A - DOCT DISSERTATION & RES
DS 700B - MASTER'S PROJECT
DS 725 - INDEPENDENT STUDY I
DS 726 - INDEPENDENT STUDY II
CS 488 - INDEPENDENT STUDY IN CS
CS 634 - DATA MINING
DS 701B - MASTER'S THESIS
DS 701C - MASTER'S THESIS
CS 700B - MASTER'S PROJECT
CS 701B - MASTER'S THESIS
Past Courses
CS 301: INTRODUCTION TO DATA SCIENCE
CS 482: DATA MINING
CS 610: DATA STRUCTURE & ALG
CS 634: DATA MINING
CS 785: ST: ALGORITHMS FOR ENABLING RESPONSIBLE DATA MANAGEMENT
CS 786: SEL TOP IN COM INF SCI II
Journal Article
Sepideh Nikookar, Sohrab Namazi Nia, Senjuti Basu Roy, Sihem Amer-Yahia, Behrooz Omidvar-Tehrani. 2025. "Model reusability in Reinforcement Learning." The VLDB Journal, vol. 34, no. 4.
Sepideh Nikookar, Mohammadreza Esfandiari, Ria Mae Borromeo, Paras Sakharkar, Sihem Amer-Yahia, Senjuti Basu Roy. 2022. "Diversifying recommendations on sequences of sets." The VLDB Journal, pp. 1--22.
Md Abdus Salam, Senjuti Basu Roy, Gautam Das. 2022. "Efficient approximate top-k mutual information based feature selection." Journal of Intelligent Information Systems, pp. 1--33.
Xiang Lin, Haoran Liu, Zhi Wei, Senjuti Basu Roy, Nan Gao. 2021. "An active learning approach for clustering single-cell RNA-seq data." Laboratory Investigation, pp. 1--9.
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, Fran\ccois Charoy, Marina Danilevsky, Gautam Das, Gianluca Demartini, Shady Elbassuoni, David Gross-Amblard, Emilie Hoareau, Munenari Inoguchi, Jared B. Kenworthy, Itaru Kitahara, Dongwon Lee, Yunyao Li, Ria Mae Borromeo, Paolo Papotti, H. Raghav Rao, Sudeepa Roy, Pierre Senellart, Keishi Tajima, Saravanan Thirumuruganathan, Marion Tommasi, Kazutoshi Umemoto, Andrea Wiggins, Koichiro Yoshida. 2020. "Making AI Machines Work for Humans in FoW." SIGMOD Rec., vol. 49, no. 2, pp. 30--35.
Sihem Amer-Yahia, Senjuti Basu Roy, Lei Chen, Atsuyuki Morishima, James Abello Monedero, Pierre Bourhis, Charoy, Fran\ccois, Marina Danilevsky, Gautam Das, Gianluca Demartini, others. 2020. "Making ai machines work for humans in fow." ACM SIGMOD Record, vol. 49, no. 2, pp. 30--35.
Senjuti Basu Roy. 2019. "Capturing Human Factors to Optimize Crowdsourced Label Acquisition through Active Learning." IEEE Data Engineering Bulletin.
Mohammadreza Esfandiari, Senjuti Basu Roy, Sihem Amer-Yahia. 2018. "Eliciting Worker Preference for Task Completion." arXiv preprint arXiv:1801.03233.
Senjuti Basu Roy, Moushumi Maria, Tina Wang, Anne Ehlers, David Flum. 2018. "Predicting adverse events after surgery." Big data research, vol. 13, pp. 29--37.
Anne P Ehlers, Senjuti Basu Roy, Sara Khor, Prathyusha Mandagani, Moushumi Maria, Rafael Alfonso-Cristancho, David R Flum. 2017. "Improved Risk Prediction Following Surgery Using Machine Learning Algorithms." eGEMs (Generating Evidence & Methods to improve patient outcomes), vol. 5, no. 2, pp. 3.
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. 2016. "A holistic and principled approach for the empty-answer problem." The VLDB Journal, vol. 25, no. 4, pp. 597–622.
Kosetsu Ikeda, Atsuyuki Morishima, Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. 2016. "Collaborative crowdsourcing with crowd4U." Proceedings of the VLDB Endowment, vol. 9, no. 13, pp. 1497–1500.
Habibur Rahman, Lucas Joppa, Senjuti Basu Roy. 2016. "Feature based task recommendation in crowdsourcing with implicit observations." arXiv preprint arXiv:1602.03291.
Anne P Ehlers, Senjuti Basu Roy, Sara Khor, Prathyusha Mandagani, Moushumi Maria, Rafael Alfonso-Cristancho, David R Flum. 2016. "Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms." Concordium.
Anne Ehlers, Senjuti Basu Roy, Prathyusha Mandagani, Moushumi Maria, Sara Khor, Rafael Alfonso, David Flum. 2016. "Healthcare Utilomics: Improved Risk Prediction Following Surgery Using Machine Learning Algorithms." Concordium 2016.
Sihem Amer-Yahia, Senjuti Basu Roy. 2016. "Human factors in crowdsourcing." Proceedings of the VLDB Endowment, vol. 9, no. 13, pp. 1615–1618.
Si-Chi Chin, Rui Liu, Senjuti B Roy. 2016. "PREDICTIVE ANALYTICS IN 30-DAY HOSPITAL READMISSIONS FOR HEART FAILURE PATIENTS." Healthcare Analytics: From Data to Knowledge to Healthcare Improvement, vol. 439.
Senjuti Basu Roy, Kostas Stefanidis, Georgia Koutrika, Laks VS Lakshmanan, Mirek Riedewald. 2016. "Report on the Third International Workshop on Exploratory Search in Databases and the Web (ExploreDB 2016)." ACM SIGMOD Record, vol. 45, no. 3, pp. 35–38.
Sihem Amer-Yahia, Senjuti Basu Roy. 2016. "Toward Worker-Centric Crowdsourcing.." IEEE Data Eng. Bull., vol. 39, no. 4, pp. 3–13.
Senjuti Basu Roy, Ikea K, Morishima A, T Saravanan, S Amer-Yahia, Das Gautam, Rahman Habibur. 2016. "Collaborative Crowdsourcing with Crowd4u." Proceedings of the VLDB Endowment.
Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. 2015. "" The Whole Is Greater Than the Sum of Its Parts": Optimization in Collaborative Crowdsourcing." arXiv preprint arXiv:1502.05106.
Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. 2015. "Task assignment optimization in knowledge-intensive crowdsourcing." The VLDB Journal, vol. 24, no. 4, pp. 467--491.
Habibur Rahman, Saravanan Thirumuruganathan, Senjuti Basu Roy, Sihem Amer-Yahia, Gautam Das. 2015. "Worker skill estimation in team-based tasks." Proceedings of the VLDB Endowment, vol. 8, no. 11, pp. 1142--1153.
Senjuti Basu Roy, Tina Eliassi-Rad, Spiros Papadimitriou. 2014. "Fast best-effort search on graphs with multiple attributes." IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 3, pp. 755--768.
Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan, Sihem Amer-Yahia, Gautam Das. 2014. "Optimization in knowledge-intensive crowdsourcing." arXiv preprint arXiv:1401.1302.
Davide Mottin, Alice Marascu, Senjuti Basu Roy, Gautam Das, Themis Palpanas, Yannis Velegrakis. 2013. "A probabilistic optimization framework for the empty-answer problem." Proceedings of the VLDB Endowment, vol. 6, no. 14, pp. 1762--1773.
Senjuti Basu-Roy, Tina Eliassi-Rad, Spiros Papadimitriou. 2013. "Fast and effective pattern matching on weighted attributed graphs." ACM Knowledge Discovery and Data Mining.
Kiyana Zolfaghar, Nele Verbiest, Jayshree Agarwal, Naren Meadem, Si-Chi Chin, Senjuti Basu Roy, Ankur Teredesai, David Hazel, Paul Amoroso, Lester Reed. 2013. "Predicting risk-of-readmission for congestive heart failure patients: A multi-layer approach." arXiv preprint arXiv:1306.2094.
Senjuti Basu Roy, Gautam Das, Sajal K Das. 2012. "Algorithms for computing best coverage path in the presence of obstacles in a sensor field." Journal of Discrete Algorithms, vol. 13, pp. 86--97.
Senjuti Basu Roy. 2011. "Efficient exploration techniques on large databases." Computer Science \& Engineering.
Senjuti Basu Roy, Sihem Amer-Yahia, Ashish Chawla, Gautam Das, Cong Yu. 2010. "Space efficiency in group recommendation." The VLDB Journal, vol. 19, no. 6, pp. 877--900.
Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat, Gautam Das, Cong Yu. 2009. "Group recommendation: Semantics and efficiency." Proceedings of the VLDB Endowment, vol. 2, no. 1, pp. 754--765.
Amer-Yahia Sihem, S Roy, Ashish Chawlat, Gautam Das, C Yu. 2009. "Group recommendation: Semantics and efficiency." Group, vol. 2, no. 1, pp. 754--765.
Conference Paper
"Promoting Fairness and Priority in Selecting k-Winners Using IRV"
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August, 2024.
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), August, 2024.
Conference Proceeding
"Accepted Tutorials at The Web Conference 2022"
2022.
2022.
"Cooperative Route Planning Framework for Multiple Distributed Assets in Maritime Applications"
2022.
2022.
"Rank aggregation with proportionate fairness"
2022.
2022.
"Satisfying Complex Top-k Fairness Constraints by Preference Substitutions"
VLDB, 2022.
VLDB, 2022.
"Guided Task Planning Under Complex Constraints"
May, 2022.
May, 2022.
"A generalized approach for reducing expensive distance calls for a broad class of proximity problems"
2021.
2021.
"Data Management to Social Science and Back in the Future of Work"
2021.
2021.
"Multi-Session Diversity to Improve User Satisfaction in Web Applications"
2021.
2021.
"Peer Learning Through Targeted Dynamic Groups Formation"
2021.
2021.
"Preface to the 2nd Workshop on Search, Exploration, and Analysis in Heterogeneous Datastores"
2021.
2021.
"Recommending deployment strategies for collaborative tasks"
2020.
2020.
"Task Deployment Recommendation with Worker Availability"
2020.
2020.
"A human-in-the-loop attribute design framework for classification"
2019.
2019.
"An Efficient Greedy Algorithm for Sequence Recommendation"
2019.
2019.
"Human-in-the-loop Exploration of Composite Items"
2019.
2019.
"Optimizing peer learning in online groups with affinities"
2019.
2019.
"The ever evolving online labor market"
2019.
2019.
"Crowdsourcing Analytics With CrowdCur"
2018.
2018.
"Explicit Preference Elicitation for Task Completion Time"
2018.
2018.
"Interactive exploration of composite items"
2018.
2018.
"Task relevance and diversity as worker motivation in crowdsourcing"
2018.
2018.
"Motivation-Aware Task Assignment in Crowdsourcing"
International Conference on Extending Database Technology,, 2017.
International Conference on Extending Database Technology,, 2017.
"Feature Based Task Recommendation in Crowdsourcing with Implicit Observations"
AAAI International Conference on Human Computing, 2017.
AAAI International Conference on Human Computing, 2017.
"A Probabilistic Framework for Estimating Pairwise Distances Through Crowdsourcing"
International Conference on Extending Database Technology,, February, 2017.
International Conference on Extending Database Technology,, February, 2017.
"Predicting 30-day risk and cost of" All-Cause" hospital readmissions"
2016.
2016.
"Dynamic hierarchical classification for patient risk-of-readmission"
2015.
2015.
"From Complex Object Exploration to Complex Crowdsourcing."
2015.
2015.
"From group recommendations to group formation"
2015.
2015.
"Group recommendation with temporal affinities"
2015.
2015.
"Task assignment optimization in collaborative crowdsourcing"
2015.
2015.
"A framework to recommend interventions for 30-day heart failure readmission risk"
2014.
2014.
"ALIAS: Author Disambiguation in Microsoft Academic Search Engine Dataset."
2014.
2014.
"Crowd4u: An initiative for constructing an open academic crowdsourcing network"
2014.
2014.
"Divide-n-Discover: Discretization based data exploration framework for healthcare analytics"
2014.
2014.
"Exploiting group recommendation functions for flexible preferences"
2014.
2014.
"IQR: an interactive query relaxation system for the empty-answer problem"
2014.
2014.
"Pathway-finder: An interactive recommender system for supporting personalized care pathways"
2014.
2014.
"Prediction and Management of Readmission Risk for Congestive Heart Failure."
2014.
2014.
"Big data solutions for predicting risk-of-readmission for congestive heart failure patients"
2013.
2013.
"Crowds, not drones: modeling human factors in interactive crowdsourcing"
2013.
2013.
"Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients"
2013.
2013.
"Exploring preprocessing techniques for prediction of risk of readmission for congestive heart failure patients"
2013.
2013.
"Risk-o-meter: an intelligent clinical risk calculator"
2013.
2013.
"The microsoft academic search challenges at kdd cup 2013"
2013.
2013.
"The microsoft academic search dataset and kdd cup 2013"
2013.
2013.
"Interactive itinerary planning"
2011.
2011.
"Constructing and exploring composite items"
2010.
2010.
"Facetedpedia: dynamic generation of query-dependent faceted interfaces for wikipedia"
2010.
2010.
"Facetedpedia: enabling query-dependent faceted search for wikipedia"
2010.
2010.
"Dynacet: Building dynamic faceted search systems over databases"
2009.
2009.
"Top-k implementation techniques of minimum effort driven faceted search for databases"
2009.
2009.
"Minimum-effort driven dynamic faceted search in structured databases"
2008.
2008.
"Computing best coverage path in the presence of obstacles in a sensor field"
2007.
2007.
"Edge Preserving Image Compression Technique using Adaptive Feed Forward Neural Network."
2005.
2005.
"Cooperative interaction of Cha-ras and cerb B genes in chemically induced hamster buccal pouch carcinogenesis"
1989.
1989.
Other
"Progressive spatial searching using augmented structures"
March, 2021.
March, 2021.
"Progressive spatial searching using augmented structures"
February, 2019.
February, 2019.
"Machine Learning Models for Surgical Site Infection Prediction"
2nd place winner in Proceedings of the AMIA KDDM-WG Symposium, American medical Informatics Association Knowledge Discovery and Data Mining Working Group, 2016.
2nd place winner in Proceedings of the AMIA KDDM-WG Symposium, American medical Informatics Association Knowledge Discovery and Data Mining Working Group, 2016.
"Progressive spatial searching using augmented structures"
January (1st Quarter/Winter), 2015.
January (1st Quarter/Winter), 2015.
Chapter
Idir Benouaret, Sihem Amer-Yahia, Senjuti Basu Roy, Christiane Kamdem-Kengne, Jalil Chagraoui. "Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers." "Transactions on Large-Scale Data-and Knowledge-Centered Systems XLIV," pp. 160--193. Springer, Berlin, Heidelberg, 2020.