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

Lei
Ma

Recent Master Thesis Students

Allison
Rozet

Luke
Buquicchio

Walter
Gerych

Muzammil
Bashir

Tom
Hartvigsen

ML
Tlachac

PhD Alumni

PhD 2021

Data Scientist, WPI

PhD 2021

Faculty, San Francisco State U

PhD 2021

Data Scientist, Wells(startup)

PhD 2020

Research Fellow, 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

Congratulations to DAISY members Ricardo, Luke, Walter, and their collaborators for getting papers accpeted to ICMLA 2021!

Congratulations to DAISY members Prathyush, Ramesh, Tom, Ermal, and ML for getting papers accpeted to CIKM 2021!

Congratulations to Huayi Zhang and their collaborators for getting their paper accpeted to VLDB 2021!

Congratulations to ML Tlach and their team of MQP students for getting two papers accpeted to the IEEE International Conference on Biomedical and Health Informatics (BHI'21)!

DAISY PhD graduate Dr. Susmitha Wunnava is featured speaker at WPI's Class of 2021 commencement. Congratulations, Susmitha!

Huayi Zhang had a paper accepted to SIGKDD'2021. Congratulations, Huayi!

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.

WPI wins $3 Million Award To Launch Graduate Program Preparing Data-Driven Leaders To Build A More Sustainable And Just Future Read More

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!

DAISY IN ACTION

DAISY PhD graduate Dr. Susmitha Wunnava was the featured speaker at WPI's Class of 2021 commencement. Susmitha now moves on with her career as a Research Fellow at Harvard Medical School pursuing her dream of working in medical analytics. Congratulations, Susmitha!

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.

  • ML Tlachac, Ermal Toto, Joshua Lovering, Rimsha Kayastha, Nina Taurich, Elke Rundensteiner. EMU: Early Mental Health Uncovering Framework and Dataset, ICMLA 2021 Special Session, Machine Learning in Health.
  • Ricardo Flores, ML Tlachac, Ermal Toto, and Elke Rundensteiner. Depression Screening Using Deep Learning on Follow-up Questions in Clinical Interviews, ICMLA 2021, Short Paper.
  • Luke Buquicchio, Walter Gerych, Abdulaziz Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke Rundensteiner. Few-Shot Classification for Human Context Recognition Using Smartphone Data Traces, ICMLA 2021, Short Paper.
  • Walter Gerych, Jessica Bader, Declan Nelson, Thalia Chai-Zhang, Luke Buquicchio, Abdulaziz Alajaji, Kevin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner. Local Geometry Preserving Deep Networks For Featurizing High-Dimensional Datasets, ICMLA 2021.
  • Prathyush S Parvatharaju, Ramesh Doddaiah, Thomas W Hartvigsen and Elke A Rundensteiner. Learning Saliency Maps to Explain Deep Time Series Classifiers, CIKM 2021, Full Research Paper.
  • Ermal Toto, ML Tlachac, Elke Rundensteiner. AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening, CIKM 2021 Applied Research Track.
  • Huayi Zhang, Lei Cao, Samuel Madden, Elke Rundensteiner. LANCET: Labeling Complex Data at Scale, VLDB 2021.
  • ML Tlachac, Katherine Dixon-Gordon, and Elke Rundensteiner. Screening for Suicidal Ideation with Text Messages, IEEE International Conference on Biomedical and Health Informatics 2021 (BHI'21).
  • ML Tlachac, Veronica R. Melican, Miranda Hernandez-Reisch, and Elke Rundensteiner. Mobile Depression Screening with Time Series of Text Logs and Call Logs, IEEE International Conference on Biomedical and Health Informatics 2021 (BHI'21).
  • Huayi Zhang, Lei Cao, Peter VanNostrand, Sam Madden, and Elke Rundensteiner, ELITE: Robust Deep Anomaly Detection with Meta Gradient ACM SIGKDD 2021
  • 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

Contact us