Our team

Faculty

Elke Rundensteiner

WILLIAM B. SMITH

Professor

Select Faculty Collaborators

(Jointly mentoring Phd students and/or collaborating on shared projects)

Professor

Associate Professor

Associate Professor

Assistant Professor

Associate Professor

Associate Professor

Assistant Professor

Assoc. Teaching Prof.

Asst. Teaching Prof.

Professor, MIT

Professor, U Illinois

Army Research Laboratory

PhD Students

Jidapa
Thadajarassiri

Recent Master Thesis Students

Allison
Rozet

Luke
Buquicchio

Walter
Gerych

Muzammil
Bashir

Tom
Hartvigsen

ML
Tlachac

PhD Alumni

PhD 2021

Faculty, San Francisco State U

PhD 2021

Data Scientist, Wells(startup)

PhD 2020

Postdoc, Harvard Medical School

PhD 2020

Research Scientist, Facebook

PhD 2020

Data Scientist, Codametrix

PhD 2020

Machine Learning Engineer, Apple

PhD 2019

Research Scientist, Visa Research

Projects

matters

PI.Hao Feng

co-PI.Elke Rundensteiner

matters

PI.Elke Rundensteiner

Time Series Analytics

Dr.Elke Rundensteiner

Dr.Mohamed Eltabakh

matters

PI.Elke Rundensteiner

co-PI.Lane Harrison

matters

Dr.Elke Rundensteiner

Dr.Emmanuel Agu

matters

Dr.Elke Rundensteiner

Dr.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

Professor Elke Rundensteiner is named WILLIAM B. SMITH PROFESSOR!

Congrats to DAISY Students win awards in GRIE'2021 ! First Place: Walter Gerych, Second Place: Jidapa Thadajarassiri, Peter VanNostrand

Dr. Tabassum Kakar will join Well as a Data Visualization and Reporting Specialist.

Allison Rozet and her collaborators had won the BEST Research Track Short Paper Award at CIKM 2020!. Congratulations, Allison!

Jida Thadajarassiri had a paper accepted to AAAI'2021. Congratulations, Jida!

Susmitha Wunnava passed her dissertation defense on November 18, 2020. Great work, Susmitha!

Dr. Cansu Sen passed her PhD Dissertation Defense on Wednesday, July 15, 2020.

Cansu's dissertation research was accepted at ACL!

ML Tlachac had 2 papers accepted to EMBC'2020.

Dr. Yizhou Yan passed her PhD Dissertation Defense on Thursday, May 26, 2020.

Dr. Caitlin Kuehlman passed her PhD Dissertation Defense on Friday, May 15, 2020.

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, Walter Gerych and Elke Rundensteiner, Measuring Group Advantage: A Comparative Study of Fair Ranking Metrics AAAI ACM Conference on Artificial Intelligence, Ethics, and Society (AIES-2021). 19-21 May 2021.
  • Olga Poppe, Chuan Lei, Lei Ma, Allison Rozet and Elke Rundensteiner To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams ACM SIGMOD 2021.
  • Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner. Semi-Supervised Knowledge Amalgamation for Sequence Classification. AAAI, 2021
  • Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Elke Rundensteiner, and Xiangnan Kong. A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events, Findings of EMNLP, 2020. [video] [code]
  • 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 Classification. KDD 2020.
  • Dongyu Zhang, Jidapa Thadajarassiri, Cansu Sen, and Elke Rundensteiner. Time-Aware Transformer-based Network for Clinical Notes Series Prediction. MLHC 2020.

Contact us