MiDAS Group

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-driven algorithmics, scalable algorithmics, systems for data analytics, harnessing and modeling networks, machine learning

Data Mining

mining uncertain graphs, social network analysis, team formation, matrix completion, entity selection

Data Systems

cloud data systems, secure data systems, spatial data systems, indexing, approximate query processing, uncertain graph management

Selected Recent Publications

For more publications please visit our personal webpages.

The Price of Privacy: A Performance Study of Confidential Virtual Machines for Database Systems

Lina Qiu, Rebecca Taft, Alexander Shraer, George Kollios
DaMoN, 2024 | External link

CAVE: Concurrency-Aware Graph Processing on SSDs

Tarikul Islam Papon, Taishan Chen, Shuo Zhang, Manos Athanassoulis
Proc. ACM Manag. Data, 2024 | External link

Towards flexibility and robustness of LSM trees

Andy Huynh, Harshal A. Chaudhari, Evimaria Terzi, Manos Athanassoulis
VLDB J., 2024 | External link

Benchmarking Learned and LSM Indexes for Data Sortedness

Aneesh Raman, Andy Huynh, Jinqi Lu, Manos Athanassoulis
DBTest@SIGMOD, 2024 | External link

KVBench: A Key-Value Benchmarking Suite

Zichen Zhu, Arpita Saha, Manos Athanassoulis, Subhadeep Sarkar
DBTest@SIGMOD, 2024 | External link

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou, Evimaria Terzi, Stratis Ioannidis
AAAI, 2024 | External link

Team Formation amidst Conflicts

Iasonas Nikolaou, Evimaria Terzi
WWW, 2024 | External link

On the Role of Edge Dependency in Graph Generative Models

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
ICML, 2024 | External link

Wiser than the Wisest of Crowds: The Asch Effect and Polarization Revisited

Dragos Ristache, Fabian Spaeh, Charalampos E. Tsourakakis
ECML/PKDD, 2024 | External link

Finding Dense and Persistently Expansive Subgraphs

Petros Petsinis, Charalampos E. Tsourakakis, Panagiotis Karras
WWW, 2024 | External link

Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures

Fabian Spaeh, Charalampos E. Tsourakakis
WWW, 2024 | External link

An Elemental Decomposition of DNS Name-to-IP Graphs

Alex Anderson, Aadi Swadipto Mondal, Paul Barford, Mark Crovella, Joel Sommers
INFOCOM, 2024 | External link

Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures

Lina Qiu, Georgios Kellaris, Nikos Mamoulis, Kobbi Nissim, George Kollios
Proc. VLDB Endow., 2023 | External link

An Efficient Local Search Algorithm for Correlation Clustering on Large Graphs

Nathan Cordner, George Kollios
COCOA, 2023 | External link

Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines

Manos Athanassoulis, Stratos Idreos, Dennis E. Shasha
Found. Trends Databases, 2023 | External link

NOCAP: Near-Optimal Correlation-Aware Partitioning Joins

Zichen Zhu, Xiao Hu, Manos Athanassoulis
Proc. ACM Manag. Data, 2023 | External link

People

Faculty

Mark Crovella

Professor

George Kollios

Professor

Evimaria Terzi

Professor

Manos Athanassoulis

Assistant Professor

Charalampos Tsourakakis

Adjunct Faculty

Researchers

Andy Huynh

PhD Researcher

Tarikul Islam Papon

PhD Researcher

Zichen Zhu

PhD Researcher

Lina Qiu

PhD Researcher

Aneesh Raman

PhD Researcher

Karan Vombatkere

PhD Researcher

Gabriel Franco

PhD Researcher

Teona Bagashvili

PhD Researcher

Konstantinos Karatsenidis

PhD Researcher

Iasonas Nikolaou

PhD Researcher

Kevin B Quinn

PhD Researcher

Themistoklis Nikas

PhD Researcher

Alumni

Ju Hyoung Mun

Postdoc (Next: Faculty at Brandeis University)

Tianyi Chen

PhD (Next: Celonis)

Konstantinos Sotiropoulos

PhD (Next: Postdoc at CMU)

Nathan Cordner

PhD (Next: Faculty at Utah Valley University)

Subhadeep Sarkar

Postdoc (Next: Faculty at Brandeis 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.

The Price of Privacy: A Performance Study of Confidential Virtual Machines for Database Systems

CAVE: Concurrency-Aware Graph Processing on SSDs

Towards flexibility and robustness of LSM trees

Benchmarking Learned and LSM Indexes for Data Sortedness

KVBench: A Key-Value Benchmarking Suite

Online Submodular Maximization via Online Convex Optimization

Team Formation amidst Conflicts

On the Role of Edge Dependency in Graph Generative Models

Wiser than the Wisest of Crowds: The Asch Effect and Polarization Revisited

Finding Dense and Persistently Expansive Subgraphs

Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures

An Elemental Decomposition of DNS Name-to-IP Graphs

Doquet: Differentially Oblivious Range and Join Queries with Private Data Structures

An Efficient Local Search Algorithm for Correlation Clustering on Large Graphs

Data Structures for Data-Intensive Applications: Tradeoffs and Design Guidelines

NOCAP: Near-Optimal Correlation-Aware Partitioning Joins

People

Faculty

Mark Crovella

George Kollios

Evimaria Terzi

Manos Athanassoulis

Charalampos Tsourakakis

Researchers

Andy Huynh

Tarikul Islam Papon

Zichen Zhu

Lina Qiu

Aneesh Raman

Karan Vombatkere

Gabriel Franco

Teona Bagashvili

Konstantinos Karatsenidis

Iasonas Nikolaou

Kevin B Quinn

Themistoklis Nikas

Alumni

Ju Hyoung Mun

Tianyi Chen

Konstantinos Sotiropoulos

Nathan Cordner

Subhadeep Sarkar

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

Contact

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

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