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DAISY
About People Projects News Openings Awards Funding Publications Gallery Contact




OUR TEAM




FACULTY




ELKE RUNDENSTEINER

WILLIAM B. SMITH



Professor


SELECT FACULTY COLLABORATORS


(JOINTLY MENTORING PHD STUDENTS AND/OR COLLABORATING ON SHARED PROJECTS)




EMMANUEL
AGU

Professor


MOHAMED
ELTABAKH

Associate Professor


XIANGNAN
KONG

Associate Professor


LANE
HARRISON

Assistant Professor


KYUMIN
LEE

Associate Professor


RANDY
PAFFENROTH

Associate Professor


YANHUA
LI

Assistant Professor


FATEMEH
EMDAD

Assoc. Teaching Prof.


CHUN-KIT
NGAN

Asst. Teaching Prof.


SAMUEL
MADDEN

Professor, MIT


HAO
FENG

Professor, U Illinois


ROBERT
JENSEN

Army Research Laboratory


PHD STUDENTS




LUKE
BUQUICCHIO


DONGYU
ZHANG


BIAO
YIN


KATHLEEN
CACHEL


LEI
MA


NICHOLAS
JOSSELYN


KEVIN
HICKEY


PETER
VANNOSTRAND


DENNIS
HOFMANN


AVANTIKA
SHRESTHA


RUOFAN
HU


LICHUN
GAO


OLUSEUN
OLULANA


RECENT MASTER THESIS STUDENTS




PETER
VANNOSTRAND


NICHOLAS
JOSSELYN


PRATHYUSH
PARVATHARAJU


ALLISON
ROZET


LUKE
BUQUICCHIO


MUZAMMIL
BASHIR


TOM
HARTVIGSEN


ML
TLACHAC


PHD ALUMNI




WALTER
GERYCH

PhD 2023

Postdoc. Researcher

MIT CSAIL


RICARDO
FLORES

PhD 2023

Postdoc. Researcher

Sanofi Pharmaceutical


JIDAPA
THADAJARASSIRI

PhD 2023

Lecturer

Srinakharinwirot Univ.


HUAYI
ZHANG

PhD 2023

ML Scientist

TikTok


NOURA
ALGHAMDI

PhD 2022

Assistant Professor

University of Jeddah


XIKA
LIN

PhD 2022

Consultant

 


ML
TLACHAC

PhD 2022

Assistant Professor

Bryant University


TOM
HARTVIGSEN

PhD 2021

Asst. Prof, Uni. Virginia

(Postdoc, MIT CSAIL)


ERMAL
TOTO

PhD 2021

Director, Academic and

Research Comp, WPI


MARYAM
HASAN

PhD 2021

Faculty

San Francisco State


TABASSUM
KAKAR

PhD 2021

Data Scientist

Wells(startup)


SUSMITHA
WUNNAVA

PhD 2020

Research Fellow

Harvard Medical School


YIZHOU
YAN

PhD 2020

Research Scientist

Facebook


CANSU
SEN

PhD 2020

Data Scientist

Codametrix


CAITLIN
KUHLMAN

PhD 2020

ML Engineer

Apple


ZHONGFANG
ZHUANG

PhD 2019

Research Scientist

Visa Research

More Alumni


PROJECTS

All Projects Ongoing Projects Finished Projects Supported by NSF Big Data
Systems Stream Processing Data Mining & Machine Learning Data Integration Visual
Exploration


PI.HAO FENG


CO-PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





DR.ELKE RUNDENSTEINER


DR.MOHAMED ELTABAKH





PI.ELKE RUNDENSTEINER


CO-PI.LANE HARRISON





DR.ELKE RUNDENSTEINER


DR.EMMANUEL AGU





DR.ELKE RUNDENSTEINER


DR.XIANGNAN KONG





PI.ELKE RUNDENSTEINER


CO-PI.FATEMEH EMDAD





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER


CO-PI.NEIL HEFFERNAN





PI.ELKE RUNDENSTEINER


CO-PI.MURALI MANI





PI.ELKE RUNDENSTEINER


CO-PI.NEIL HEFFERNAN





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER


CO-PI.CHUN-KIT NGAN





PI.EMMANUEL AGU


CO-PI.ELKE RUNDENSTEINER





PI.ELKE RUNDENSTEINER





LATEST NEWS

DAISY member Kathleen Cachel wins 1st place in WPI's 3 Minute Thesis Competition
for her work 'Technologies for Fair Consensus Decision-Making'. Congratulations
Kathleen!

DAISY member Kathleen Cachel wins 1st place in WPI's 3 Minute Thesis Competition
for her work 'Technologies for Fair Consensus Decision-Making'. Congratulations
Kathleen!



Professor Rundensteiner speaks as a panelist at the presidential event Beyond
These Towers: Data Science & AI in Our Lives. Read More.



DAISY members win Best Paper award at IEEE CompSAC 2023 for paper titled
'Adversarial Human Context Recognition: Evasion Attacks and Defenses.'
Congratulations! Read More.



Professor Elke Rundensteiner receives the prestigious IEEE Test-of-Time Award
for her groundbreaking and durable contributions to visual data analytics! Read
More.



Congratulations to our many DAISY members who got papers accepted at IEEE 2023!
Read More.



Congratulations to DAISY member Walter Gerych for passing his PhD Dissertation
Defense "Working With What You've Got: Leveraging Mislabeled Datasets And
Improving Imperfect Pretrained Models"! Walter is now starting a position as a
postdoc at MIT CSAIL.



Congratulations to DAISY member Ricardo Flores for passing his PhD Dissertation
Defense "Multi-modal Models for Depression Screening"! Ricardo has accepted a
postdoctoral research position at Sanofi Pharmaceutical Company focusing on AI
for pharmaceuticals and healthcare.



Congratulations to DAISY member Jidapa Thadajarassiri for passing her PhD
Dissertation Defense "Knowledge Amalgamation from Heterogeneous Pre-Trained
Models"! Congratulations Dr. Jida!



On April 17th Professor Rundensteiner spoke with the Worcester Business Journal
about the power and risks of using AI in healthcare applications. Read More



Congratulations to DAISY students for winning in the Data Science finals of GRIE
2023! Ricardo Flores took home 2nd place with Yao Su, Joshua DeOliveira, and
Peter VanNostrand tied for 3rd! Great job all!



Congratulations to DAISY students Joshua DeOliveira, Ricardo Fores, Nicholas
Josselyn, and Peter VanNostrand for advancing to the finals of GRIE 2023!



Congratulations to DAISY member Xika Lin for passing her PhD Dissertation
Defense "Frequent Pattern Mining Analytics"! Congratulations Dr. Lin!



On November 16th 2022, DAISY member Oluseun Olulana received the prestigious
American Association of University Women's International Doctoral Degree
Fellowship. Congratulations Olu! Read More



On August 10th 2022, Noura Alghamdi successfully completed her PhD dissertation
defense, congratulations Dr. Alghamdi!



WPI features DAISY research into AI depression screening of voice recordings
Read More



Congratulations to Walter Gerych and Jadipa Thadajarassiri for winning first and
third place at WPI's Graduate Resesearch Innovation Exchange! See their award
photo in the carousel below!



WPI features DAISY member Kathleen Cachel's work to make AI more fair through
addressing bias in automated rankings Read More



Congratulations to DAISY member Walter Gerych for being selected to present his
work in an oral presentation at AAAI 2022!



Professor Elke Rundensteiner is named WILLIAM B. SMITH PROFESSOR!



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


More News!


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!

Former DAISY student Dr. Manasi Vartak is now founder and CEO of AI start-up
Verta which aims to bring the latest in data science research into the business
world by estabilishing best practices for deploying machine learning. Verta has
just secured a $10 million Series A round of funding, Read More.


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.



Contact Us!


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.


List of Awards


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.

 * Dongyu Zhang, Ruofan Hu, and Elke Rundensteiner. CoLafier: Collaborative
   Noisy Label Purifier With LID Guidance. SIAM International Conference on Data
   Mining. SDM 2024.
 * Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, and Elke Rundensteiner.
   Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI 2024.
 * Ricardo Flores, Avantika Shrestha, ML Tlachac, and Elke Rundensteiner.
   DeepScreen: Boosting Depression Screening Performance with an Auxiliary Task.
   Special Session on Machine Learning on Big Data (MLBD) in IEEE BigData 2023.
 * Ricardo Flores, Avantika Shrestha, and Elke Rundensteiner. Multi-Task
   Learning Using Facial Features for Mental Health Screening. Special Session
   on HealthCare Data in IEEE BigData 2023.
 * Ruofan Hu, Dongyu Zhang, Dandan Tao, Huayi Zhang, Hao Feng, and Elke
   Rundensteiner. UCE-FID: Using Large Unlabeled, Medium Crowdsourced-Labeled,
   and Small Expert-Labeled Tweets for Foodborne Illness Detection. Special
   Session on Machine Learning on Big Data (MLBD) in IEEE BigData 2023.
 * Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz
   Alajaji, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, and Elke
   Rundensteiner. Stabilizing Adversarial Training for Generative Networks.
   Special Session on Machine Learning on Big Data (MLBD) IEEE BigData 2023.
 * Biao Yin, Yangyang Fan, Nicholas Josselyn, and Elke Rundensteiner. AlloyGAN:
   Domain-Promptable Generative Adversarial Network for Generating Aluminum
   Alloy Microstructures. Special Session on Machine Learning for Predictive
   Models in Engineering Applications (MLPMEA) in 22nd IEEE International
   Conference on Machine Learning and Applications (ICMLA) 2023.
 * Biao Yin, Nicholas Josselyn, Thomas Considine, John Kelley, Berend
   Rinderspacher, Robert Jensen, James Snyder, Ziming Zhang, and Elke
   Rundensteiner. DeepSC-Edge: Scientific Corrosion Segmentation with
   Edge-Guided and Class-Balanced Losses. Special Session on Machine Learning
   for Predictive Models in Engineering Applications (MLPMEA) in 22nd IEEE
   International Conference on Machine Learning and Applications (ICMLA) 2023.
 * Walter Gerych, Kevin Hickey, Luke Buquicchio, Kavin Chandrasekaran, Abdulaziz
   Alajaji, Elke Rundensteiner, and Emmanuel Agu. Debiasing Pretrained
   Generative Models by Uniformly Sampling Semantic Attributes. NeurIPS 2023.
 * Nikola Grozdani, America Muñoz, Alexander Pietrick, Ricardo Flores, Avantika
   Shrestha, Xingtong Guo, Shichao Liu and Elke Rundensteiner. Wearable
   Wellness: Depression Screening via Fitbit Data Collected During COVID-19
   Pandemic. IEEE MIT Undergraduate Research Technology Conference (URTC) 2023.
   (REU Project Paper)
 * Peter M. VanNostrand, Huayi Zhang, Dennis Hofmann, and Elke Rundensteiner.
   FACET: Robust Counterfactual Explanation Analytics. ACM SIGMOD 2023.
 * Kathleen Cachel and Elke Rundensteiner. Fair&Share: Fast and Fair
   Multi-Criteria Selections. ACM CIKM 2023. Full Paper.
 * Biao Yin, Nicholas Josselyn, Ziming Zhang, Elke Rundensteiner, Thomas
   Considine, John Kelley, Berend Rinderspacher, Robert Jensen, and James
   Snyder. MOSS: AI Platform for Discovery of Corrosion-Resistant Materials. ACM
   CIKM 2023. Demonstration Paper.
 * Dandan Tao, Ruofan Hu, Dongyu Zhang, Jasmine Laber, Anne Lapsley, Timothy
   Kwan, Liam Rathke, Elke Rundensteiner, Hao Feng. A Novel Foodborne Illness
   Detection and Web Application Tool Based on Social Media. Journal on Food
   Engineering and Technology Applications of Artificial Intelligence in Food
   Industry, MDPI 2023.
 * Kathleen Cachel and Elke Rundensteiner. Fairer Together: Mitigating Disparate
   Exposure in Kemeny Rank Aggregation. FAccT 2023.
 * Hilson Shresta, Kathleen Cachel, Mallak Alkhathlan, Elke Rundensteiner and
   Lane Harrison. Help or Hinder? Evaluating the Impact of Fairness Metrics and
   Algorithms in Visualizations for Consensus Ranking. FAccT 2023.
 * Jida Thadajarassiri, Tom Hartvigsen, Walter Gerych, Xiangnan Kong and Elke
   Rundensteiner. Knowledge Amalgamation for Multi-Label Classification via
   Label Dependency Transfer. AAAI 2023.
 * Liang Zhang, Noura Alghamdi, Huayi Zhang, Mohamed Y. Eltabakh, and Elke A.
   Rundensteiner. PARROT: Pattern-Based Correlation Exploitation in Big
   Partitioned Data Series. VLDB Journal, 1-24, 2022
 * ML Tlachac, Walter Gerych, Kratika Agrawal, Benjamin Litterer, Nicholas
   Jurovich, Saitheeraj Thatigotla, Jidapa Thadajarassiri, and Elke
   Rundensteiner. Text Generation to Aid Depression Detection: A Comparative
   Study of Conditional Sequence Generative Adversarial Networks. 2022 IEEE
   International Conference on Big Data
 * Nicholas Josselyn, Biao Yin, Ziming Zhang, and Elke Rundensteiner. An
   Empirical Study of Domain Adaptation: Are We Really Learning Transferable
   Representations? 2022 IEEE International Conference on Big Data
 * Joshua DeOliveira, Walter Gerych, Aruzhan Koshkarova, Elke Rundensteiner, and
   Emmanuel Agu. HAR-CTGAN: A Mobile Sensor Data Generation Tool for Human
   Activity Recognition. 2022 IEEE International Conference on Big Data
 * Nicholas Josselyn, Biao Yin, Thomas Considine, John Kelley, Berend
   Rinderspacher, Robert Jensen, James Snyder, Ziming Zhang, and Elke
   Rundensteiner. Transferring indoor corrosion image assessment models to
   outdoor images via domain adaptation. 21st IEEE International Conference on
   Machine Learning and Applications, 2022.
 * Avantika Shrestha, ML Tlachac, Ricardo Flores, Elke Rundensteiner. BERT
   Variants for Depression Screening with Typed and Transcribed Responses.
   WellComp Workshop, ACM UbiComp 2022.
 * Ricardo Flores, ML Tlachac, Avantika Shrestha, Elke Rundensteiner. AudiFace:
   Multimodal Deep Learning For Depression Screening, Temporal Facial Features
   for Depression Screening. MHSI workshop, ACM UbiComp 2022.
 * Ramesh Doddaiah, Prathyush Parvatharaju, Elke Rundensteiner, and Thomas
   Hartvigsen. Class-Specific Explainability for Deep Time Series Classifiers.
   IEEE Conf on Data Mining (ICDM), 2022
 * ML Tlachac, Avantika Shrestha, Mahum Shah, Benjamin Litterer, and Elke A.
   Rundensteiner. Automated Construction of Lexicons to Improve Depression
   Screening with Text Messages. IEEE Journal of Biomedical and Health
   Informatics (J-BHI), 2022.


All Publications

NYC Tour: Data Science & AI in our Lives. Event with WPI President Grace Wang,
faculty, alumni, and industry leaders. Learn more here

AI fairness team in action! On December 22nd 2023.

Congratulations to Dr. Gerych and Dr. Flores for successfully defending their
PhD Dissertations!

Congratulations to our talented 2023 Data Science GRIE Winners!

DAISY member Jida Thadajarassiri defending her PhD Dissertation. Congrats Dr.
Jida!

New WPI President Dr. Grace Wang visits the Data Science Department!

Celebration for DAISY member Olu's birthday, happy birthday Olu!

Celebration for DAISY member Kathleen's wedding, congratulations Kathleen!

Dr. Noura Alghamdi presenting her PhD Dissertation Defense, August 10th 2022.

DAISY Celebration for Dr. ML Tlachac's PhD Dissertation Defense

DAISY member Ricardo plays Chilean music in celebration at Dr. Tlachac's PhD
celebration

Dr. Tlachac's dog Bumper celebrating their owners PhD defense




DAISY mascot Margiold Hartvigsen who graduated with her owner Tom with a
doctorate on December 1st 2021.




















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