Our team

Faculty

Elke Rundensteiner

Professor

rundenst@wpi.edu

Faculty Collaborators

Professor

emmanuel@wpi.edu

Associate Professor

meltabakh@wpi.edu

Associate Professor

xkong@wpi.edu

Assistant Professor

ltharrison@wpi.edu

Associate Professor

kmlee@wpi.edu

Associate Professor

rcpaffenroth@wpi.edu

Assistant Professor

yli15@wpi.edu

Professor, MIT

haofeng@illinois.edu

Professor, U Illinois

haofeng@illinois.edu

Students

PhD Student

Jidapa
Thadajarassiri

PhD Student

Lei
Ma

PhD Student

PhD Student

PhD Student

Susmitha
Wunnava

PhD Student

PhD Student

Alumni

PhD Alumni 2020

Research Scientist, Facebook

PhD Alumni 2020

Data Scientist, Codametrix

PhD Alumni 2020

Research Scientist, Apple

PhD Alumni 2019

Research Scientist, Visa

PhD Alumni 2019

Research Scientist, Samsung Research Lab

Master Alumni 2019

Software Engineer, Mathwork

PhD Alumni 2019

Research Scientist, IBM Almaden Research

Olga
Poppe

PhD Alumni 2017

Research Scientist, Microsoft Jim Gray Systems Lab

PhD Alumni 2017

Associate Teaching Professor, WPI

PhD Alumni 2016

Postdoc, MIT

Kaiyu
Zhao

PhD Alumni 2016

Dato

Projects

matters

PI.Hao Feng

co-PI.Elke Rundensteiner

matters

PI.Elke Rundensteiner

Time Series Analytics

PI.Elke Rundensteiner

co-PI.Mohamed Eltabakh

matters

PI.Elke Rundensteiner

co-PI.Lane Harrison

matters

PI.Elke Rundensteiner

co-PI.Emmanuel Agu

matters

Elke Rundensteiner

Xiangnan Kong

matters

PI.Elke Rundensteiner

co-PI.Fatemeh Emdad

matters

PI.Elke Rundensteiner

Complex Event Analytics

PI.Elke Rundensteiner

Hierarchical Instantiating Timed automaton

PI.Elke Rundensteiner

A Novel Paradigm for Query Processing

PI.Elke Rundensteiner

Research Experience for K12.jpg

PI.Elke Rundensteiner

co-PI.Neil Heffernan

XQueries Over XML Streams .jpg

PI.Elke Rundensteiner

co-PI.Murali Mani

Continuous Adaptive Processing Engine.jpg

PI.Elke Rundensteiner

co-PI.Neil Heffernan

Personalized Annotation Management in RDB.jpg

PI.Elke Rundensteiner

Supporting Annotations Beyond Propagation In RDB.jpg

PI.Elke Rundensteiner

Analyzing Text Data Streams in Social Microblogging Networks.jpg

PI.Elke Rundensteiner

Visual Exploration Support for Data Mining and Discovery .jpg

PI.Elke Rundensteiner

XQuery Processing.jpg

PI.Elke Rundensteiner

XML Indexing.jpg

PI.Elke Rundensteiner

Information Integration under Dynamic Distributed Data Sources.jpg

PI.Elke Rundensteiner

Information Integration over Heterogeneous Data Sources.jpg

PI.Elke Rundensteiner

Information Integration By Discovery of Data Source Relationships.jpg

PI.Elke Rundensteiner

Model-Management Driven Integration of Heterogeneous Sources.jpg

PI.Elke Rundensteiner

Object-Oriented Database Systems.jpg

PI.Elke Rundensteiner

Spatial and Multimedia Query Processing.jpg

PI.Elke Rundensteiner

REU Program

PI.Elke Rundensteiner

co-PI.Chun-Kit Ngan

wash

PI.Emmanuel Agu

co-PI.Elke Rundensteiner

Anomaly Detection

PI.Elke Rundensteiner

Latest News

Congratulations to Cansu on having her dissertation research accepted in the top conference in NLP!
Congrats to her and her co-collaborators and co-authors !
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? Authors: Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner ACL 2020 (2020 Annual Conference of the Association for Computational Linguistics).

Congratulations to ML for just having heard that 2 of her research works were accepted for publication at EMBC'2020! Congrats!

Ml Tlachac and Elke Rundensteiner, Depression Screening from Text Message Reply Latency 42nd Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 20-24, 2020.

Ml Tlachac, Elke Rundensteiner, Kerri Barton, T. Scott Troppy, Kirthana Beaulac and Shira Doron, Anomalous Antimicrobial Resistant Trend Identification, 42nd Annual International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Montreal, Canada, July 20-24, 2020.

Congratulation to Allison Rozet for successfully defending her MS thesis today Wednesday May 5, 2020 on the topic of "MUSE - Shared Complex Event Trend Aggregation".

It is a pleasure to announce that Yizhou Yan has successfully passed her PhD Dissertation Defense Thursday, May 26, 2020.
Congratulations to soon-to-be Dr. Yizhou Yan on achieving this ultimate milestone!

Ermal Toto has successfully passed his Ph.D. Comprehensive Exam this Friday, Jan 31, 2020.
His areas of study covered questions broadly in (1) deep learning for voice analysis, (2) machine learning in psychology, and (3) human computer interface technology for health care.

Congratulations to Ermal on having passed this important milestone in his Ph.D. studies.

Open positions


We are always looking for bright, motivated, and hard-working graduate and undergraduate students to join our group and work on projects with us to develop data-centric solutions and systems that solve pressing problems in healthcare, medicine, science, or engineering with societal impact. If you are interested, please contact Elke Rundensteiner at rundenst [at] wpi [dot] edu.

Awards

Our group has been recognized many times over the years from best papers/posters to competitions to TA awards. For a full list, please click the following link.

Funding

We are grateful to have been supported by many funding agencies over the years. In addition to our ongoing projects, please refer to the following full list of funding sources.

NSF

HP

Microsoft


IBM

Verizon

MIT Lincoln Lab

Funding sources

Publications

Selected Recent Publications.


  • Caitlin Kuhlman and Elke Rundensteiner. Rank Aggregation Algorithms for Fair Consensus. VLDB 2020.
  • Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner. Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words? ACL 2020.
  • Thomas Hartvigsen, Cansu Sen, Xiangnan Kong, Elke Rundensteiner. Recurrent Halting Chain for Early Multi-label Classifier. KDD 2020.
  • Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, and Elke Rundensteiner. Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020.
  • ML Tlachac and Elke Rundensteiner, Screening for Depression with Retrospectively Harvested Private versus Public Text. IEEE Journal of Biomedical and Health Informatics (J-BHI), 2020.

Contact us