MiDAS Group

Selected Recent Publications

For more publications please visit our personal webpages.

Node-Differentially Private Estimation of the Number of Connected Components

Iden Kalemaj, Sofya Raskhodnikova, Adam D. Smith, Charalampos E. Tsourakakis
ACM Trans. Algorithms, 2026 | External link

RABIT: Efficient Range Queries with Bitmap Indexing

Junchang Wang, Fu Xiao, Manos Athanassoulis
Proc. ACM Manag. Data, 2025 | External link

Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees

Zichen Zhu, Yanpeng Wei, Ju Hyoung Mun, Manos Athanassoulis
Proc. ACM Manag. Data, 2025 | External link

AXE: A Task Decomposition Approach to Learned LSM Tuning

Andy Huynh, Anwesha Saha, Harshal A. Chaudhari, Manos Athanassoulis
Proc. VLDB Endow., 2025 | External link

QuIT your B+-tree for the Quick Insertion Tree

Aneesh Raman, Konstantinos Karatsenidis, Shaolin Xie, Matthaios Olma, Subhadeep Sarkar, Manos Athanassoulis
EDBT, 2025 | External link

Benchmarking, Analyzing, and Optimizing WA of Partial Compaction in RocksDB

Ran Wei, Zichen Zhu, Andrew Kryczka, Jay Zhuang, Manos Athanassoulis
EDBT, 2025 | External link

ACE-in-Action: A Smart DBMS Bufferpool for SSDs

Teona Bagashvili, Tarikul Islam Papon, Manos Athanassoulis
SIGMOD Conference Companion, 2025 | External link

Forming coordinated teams that balance task coverage and expert workload

Karan Vombatkere, Aristides Gionis, Evimaria Terzi
Data Min. Knowl. Discov., 2025 | External link

Disentangling Text and Math in Word Problems: Evidence for the Bidimensional Structure of Large Language Models' Reasoning

Pedro Calais, Gabriel Franco, Zilu Tang, Themistoklis Nikas, Wagner Meira Jr., Evimaria Terzi, Mark Crovella
ACL, 2025 | External link

Understanding Team Collapse via Probabilistic Graphical Models

Iasonas Nikolaou, Konstantinos Pelechrinis, Evimaria Terzi
KDD, 2025 | External link

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness

Christos Fragkathoulas, Vasiliki Papanikou, Evaggelia Pitoura, Evimaria Terzi
ECML/PKDD, 2025 | External link

A QUBO Framework for Team Formation

Karan Vombatkere, Theodoros Lappas, Evimaria Terzi
ECML/PKDD, 2025 | External link

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction

Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
WSDM, 2025 | External link

Targeted Least Cardinality Candidate Key for Relational Databases

Vasileios Nakos, Hung Q. Ngo, Charalampos E. Tsourakakis
ICDT, 2025 | External link

Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information

Tianyi Chen, Atsushi Miyauchi, Charalampos E. Tsourakakis
WSDM, 2025 | External link

Privacy-Preserving Machine Learning on Web Browsing for Public Opinion

Sam Buxbaum, Lucas M. Tassis, Lucas Boschelli, Giovanni Comarela, Mayank Varia, Mark Crovella, Dino P. Christenson
CSCML, 2025 | External link

People

Faculty

Mark Crovella

Professor

George Kollios

Professor

Evimaria Terzi

Professor

Manos Athanassoulis

Associate Professor

Kyle Deeds

Assistant Professor

Charalampos Tsourakakis

Adjunct Faculty

Researchers

Andy Huynh

PhD Researcher

Karan Vombatkere

PhD Researcher

Gabriel Franco

PhD Researcher

Teona Bagashvili

PhD Researcher

Iasonas Nikolaou

PhD Researcher

Kevin B Quinn

PhD Researcher

Themistoklis Nikas

PhD Researcher

Anwesha Saha

PhD Researcher

Andrew Briasco-Stewart

PhD Researcher

Jovan Kascelan

PhD Researcher

Alumni

Xiyue Gao

Visiting Faculty (Next: Back to Xidian University)

Konstantinos Karatsenidis

Grad Researcher (Next: Tower Research Capital)

Tarikul Islam Papon

PhD (Next: Faculty at UMass Boston)

Zichen Zhu

PhD (Next: Google)

Lina Qiu

PhD (Next: Huawei)

Aneesh Raman

PhD (Next: Salesforce)

Ju Hyoung Mun

Postdoc (Next: Faculty at Brandeis University)

Tianyi Chen

PhD (Next: Celonis)

Subhadeep Sarkar

Postdoc (Next: Faculty at Brandeis University)

Konstantinos Sotiropoulos

PhD (Next: Postdoc at CMU)

Nathan Cordner

PhD (Next: Faculty at Utah Valley University)

Dmytro Bogatov

PhD (Next: AWS)

Bashir Rastegarpanah

PhD (Next: Fiddler AI)

Harshal Chaudhari

PhD (Next: Etsy)

Sofia Maria Nikolakaki

PhD (Next: Apple)

Dimitris Staratzis

Grad Researcher (Next: TileDB)

Charalampos Mavroforakis

PhD (Next: Facebook)

Sanaz Bahargam

PhD (Next: Twitter)

Georgios Kellaris

Postdoc (Next: Co-Founder at Kalepso)

Natali Ruchansky

PhD (Next: Postdoc at USC)

Behzad Golshan

PhD (Next: Megagon Labs)

Xianrui Meng

PhD (Next: Amazon)

Haohan Zhu

PhD (Next: Facebook)

Dora Erdos

PhD (Next: Postdoc at Brown University)

Esther Galbrun

Postdoc (Next: Postdoc at INRIA Nancy)

Theodoros Lappas

Postdoc (Next: Faculty at Stevens Institute of Technology)

Michalis Potamias

PhD (Next: Groupon)

Marios Hadjieleftheriou

Postdoc (Next: AT&T Labs)

Panagiotis Papapetrou

PhD (Next: Postdoc at Aalto University)

Vassilis Athitsos

PhD & Postdoc (Next: Faculty at UT Arlington)

Feifei Li

PhD (Next: Faculty at Florida State University)

Massive Data, Algorithms, and Systems Group @ BU

MiDAS.

MiDAS @ BU CS is a team of faculty and students that work on the research challenges of converting data to knowledge: from foundational algorithmic and systems challenges to the development of practical applications with domain scientists.

Research directions

Data Analytics

Data Analytics

Data Mining

Data Mining

Data Systems

Data Systems

Selected Recent Publications

For more publications please visit our personal webpages.

Node-Differentially Private Estimation of the Number of Connected Components

RABIT: Efficient Range Queries with Bitmap Indexing

Mnemosyne: Dynamic Workload-Aware BF Tuning via Accurate Statistics in LSM trees

AXE: A Task Decomposition Approach to Learned LSM Tuning

QuIT your B+-tree for the Quick Insertion Tree

Benchmarking, Analyzing, and Optimizing WA of Partial Compaction in RocksDB

ACE-in-Action: A Smart DBMS Bufferpool for SSDs

Forming coordinated teams that balance task coverage and expert workload

Disentangling Text and Math in Word Problems: Evidence for the Bidimensional Structure of Large Language Models' Reasoning

Understanding Team Collapse via Probabilistic Graphical Models

FACEGroup: Feasible and Actionable Counterfactual Explanations for Group Fairness

A QUBO Framework for Team Formation

Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction

Targeted Least Cardinality Candidate Key for Relational Databases

Q-DISCO: Query-Centric Densest Subgraphs in Networks with Opinion Information

Privacy-Preserving Machine Learning on Web Browsing for Public Opinion

People

Faculty

Mark Crovella

George Kollios

Evimaria Terzi

Manos Athanassoulis

Kyle Deeds

Charalampos Tsourakakis

Researchers

Andy Huynh

Karan Vombatkere

Gabriel Franco

Teona Bagashvili

Iasonas Nikolaou

Kevin B Quinn

Themistoklis Nikas

Anwesha Saha

Andrew Briasco-Stewart

Jovan Kascelan

Alumni

Xiyue Gao

Konstantinos Karatsenidis

Tarikul Islam Papon

Zichen Zhu

Lina Qiu

Aneesh Raman

Ju Hyoung Mun

Tianyi Chen

Subhadeep Sarkar

Konstantinos Sotiropoulos

Nathan Cordner

Dmytro Bogatov

Bashir Rastegarpanah

Harshal Chaudhari

Sofia Maria Nikolakaki

Dimitris Staratzis

Charalampos Mavroforakis

Sanaz Bahargam

Georgios Kellaris

Natali Ruchansky

Behzad Golshan

Xianrui Meng

Haohan Zhu

Dora Erdos

Esther Galbrun

Theodoros Lappas

Michalis Potamias

Marios Hadjieleftheriou

Panagiotis Papapetrou

Vassilis Athitsos

Feifei Li

Sponsors

Center of Computing and Data Sciences
665 Commonwealth Avenue (9th Floor)
Boston, MA • 02215