Our team

Faculty

Elke Rundensteiner

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

Susmitha
Wunnava

Lei
Ma

Recent Master Thesis Students

Allison
Rozet

Luke
Buquicchio

Walter
Gerych

Muzammil
Bashir

Tom
Hartvigen

Monica
Tlachac

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 Research

PhD Alumni 2019

Research Scientist, Samsung Research

Master Alumni 2019

Software Engineer, Mathwork

PhD Alumni 2019

Research Scientist, IBM Research

Olga
Poppe

PhD Alumni 2017

Research Scientist, Microsoft

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

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

Congratulations to soon-to-be Dr. Cansu Sen on passing her PhD Dissertation Defense this Wednesday, July 15, 2020.

Congratulations to Cansu on having her dissertation research accepted in the top conference in NLP!

Congratulations to Monica Tlachac for just having heard that 2 of her research works were accepted for publication at EMBC'2020

Congratulations to soon-to-be Dr. Yizhou Yan on passing her PhD Dissertation Defense this Thursday, May 26, 2020.

Congratulations to soon-to-be Dr. Caitlin Kuehlman PhD Dissertation Defense this past Friday, May 15, 2020.

Congratulation to Allison Rozet for successfully defending her MS thesis today Wednesday May 5, 2020.

Congratulations to Ermal Toto for successfully passing his Ph.D. Comprehensive Exam this Friday, Jan 31, 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.


  • Jidapa Thadajarassiri, Cansu Sen, Thomas Hartvigsen, Xiangnan Kong, and Elke Rundensteiner, ``Learning Similarity-Preserving Meta-Embedding for Text Mining'', 2020 IEEE International Conference on Big Data, accepted as regular paper.
  • Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz Alajaji, Hamid Mansoor, Aidan Murphy, Elke Rundensteiner, and Emmanuel Agu, `BurstPU: Classification of Weakly Labeled Datasets with Sequential Bias'' 2020 IEEE International Conference on Big Data, accepted as short paper.
  • Xiao Qin, Cao Xiao, Tengfei Ma, Tabassum Kakar, Susmitha Wunnava, Xiangnan Kong, Elke Rundensteiner, and Fei Wang, ``Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding'', 2020 IEEE International Conference on Big Data, accepted as regular paper.
  • Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner, Jihane Zouaoui, and Aditya Arora, ``MLAS: Metric Learning on Attributed Sequences'', 2020 IEEE International Conference on Big Data, accepted as short paper.
  • Ramoza Ahsan, Rodica Neamtu, Muzammil Bashir, Elke Rundensteiner, and Gabor Sarkozy, Correlation-Based Analytics of Time Series Data, 2020 IEEE International Conference on Big Data.
  • ML Tlachac, Adam Sargent, Ermal Toto, Randy Paffenroth, Elke Rundensteiner. Topological Data Analysis to Engineer Features from Audio Signals for Depression Detection. 19th IEEE International Conference on Machine Learning and Applications.
  • Ermal Toto, ML Tlachac, Francis (Lee) Stevens, Elke Rundensteiner. Audio-based Depression Screening using Sliding Window Sub-clip Pooling. 19th IEEE International Conference on Machine Learning and Applications.
  • 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, EMNLP 2020, (Findings of EMNLP).
  • 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.

Contact us