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 Publications

For more publications please visit our personal webpages.

The Need for a New I/O Model

Tarikul Islam Papon, Manos Athanassoulis
CIDR, 2021 | External link

A Parametric I/O Model for Modern Storage Devices

Tarikul Islam Papon, Manos Athanassoulis
DaMoN, 2021 | External link

Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices

Zichen Zhu, Ju Hyoung Mun, Aneesh Raman, Manos Athanassoulis
DaMoN, 2021 | External link

Adaptive partitioning and indexing for in situ query processing

Matthaios Olma, Manos Karpathiotakis, Ioannis Alagiannis, Manos Athanassoulis, Anastasia Ailamaki
VLDB J., 2020 | External link

Lethe - A Tunable Delete-Aware LSM Engine

Subhadeep Sarkar, Tarikul Islam Papon, Dimitris Staratzis, Manos Athanassoulis
SIGMOD Conference, 2020 | External link

Template-Driven Team Formation

Spiros Apostolou, Panayiotis Tsaparas, Evimaria Terzi
ASONAM, 2020 | External link

Learn to Earn - Enabling Coordination Within a Ride-Hailing Fleet

Harshal A. Chaudhari, John W. Byers, Evimaria Terzi
IEEE BigData, 2020 | External link

Finding Teams of Maximum Mutual Respect

Sofia Maria Nikolakaki, Evaggelia Pitoura, Evimaria Terzi, Panayiotis Tsaparas
ICDM, 2020 | External link

Optimal Learning of Joint Alignments with a Faulty Oracle

Kasper Green Larsen, Michael Mitzenmacher, Charalampos E. Tsourakakis
ISIT, 2020 | External link

Node Embeddings and Exact Low-Rank Representations of Complex Networks

Sudhanshu Chanpuriya, Cameron Musco, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
NeurIPS, 2020 | External link

Flowless - Extracting Densest Subgraphs Without Flow Computations

Digvijay Boob, Yu Gao, Richard Peng, Saurabh Sawlani, Charalampos E. Tsourakakis, Di Wang, Junxing Wang
WWW, 2020 | External link

Query-Efficient Correlation Clustering

David García-Soriano, Konstantin Kutzkov, Francesco Bonchi, Charalampos E. Tsourakakis
WWW, 2020 | External link

People

Faculty

George Kollios

Professor

Evimaria Terzi

Professor

Charalampos Tsourakakis

Assistant Professor

Manos Athanassoulis

Assistant Professor

Postdocs

Subhadeep Sarkar

Postdoctoral Researcher

Ju Hyoung Mun

Postdoctoral Researcher

Graduate Students

Bashir Rastegarpanah

PhD Researcher

Harshal Chaudhari

PhD Researcher

Sofia Maria Nikolakaki

PhD Researcher

Dmytro Bogatov

PhD Researcher

Andy Huynh

PhD Researcher

Konstantinos Sotiropoulos

PhD Researcher

Tarikul Islam Papon

PhD Researcher

Zichen Zhu

PhD Researcher

Dimitris Staratzis

PhD Researcher

Lina Qiu

PhD Researcher

Tianyi Chen

PhD Researcher

Aneesh Raman

PhD Researcher

Alumni

Charalampos Mavroforakis

PhD (Next: Facebook)

Sanaz Bahargam

PhD (Next: Twitter)

Natali Ruchansky

PhD (Next: Postdoc at UCLA)

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)

Vassilis Athitsos

Postdoc (Next: Faculty at UT Arlington)

Marios Hadjieleftheriou

Postdoc (Next: AT&T Labs)

Feifei Li

PhD (Next: Faculty at Florida State University)

Panagiotis Papapetrou

PhD (Next: Postdoc at Aalto University)

Michalis Potamias

PhD (Next: Groupon)

Georgios Kellaris

Postdoc (Next: Co-Founder at Kalepso)

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 Publications

For more publications please visit our personal webpages.

The Need for a New I/O Model

A Parametric I/O Model for Modern Storage Devices

Reducing Bloom Filter CPU Overhead in LSM-Trees on Modern Storage Devices

Adaptive partitioning and indexing for in situ query processing

Lethe - A Tunable Delete-Aware LSM Engine

Template-Driven Team Formation

Learn to Earn - Enabling Coordination Within a Ride-Hailing Fleet

Finding Teams of Maximum Mutual Respect

Optimal Learning of Joint Alignments with a Faulty Oracle

Node Embeddings and Exact Low-Rank Representations of Complex Networks

Flowless - Extracting Densest Subgraphs Without Flow Computations

Query-Efficient Correlation Clustering

People

Faculty

George Kollios

Evimaria Terzi

Charalampos Tsourakakis

Manos Athanassoulis

Postdocs

Subhadeep Sarkar

Ju Hyoung Mun

Graduate Students

Bashir Rastegarpanah

Harshal Chaudhari

Sofia Maria Nikolakaki

Dmytro Bogatov

Andy Huynh

Konstantinos Sotiropoulos

Tarikul Islam Papon

Zichen Zhu

Dimitris Staratzis

Lina Qiu

Tianyi Chen

Aneesh Raman

Alumni

Charalampos Mavroforakis

Sanaz Bahargam

Natali Ruchansky

Behzad Golshan

Xianrui Meng

Haohan Zhu

Dora Erdos

Esther Galbrun

Theodoros Lappas

Vassilis Athitsos

Marios Hadjieleftheriou

Feifei Li

Panagiotis Papapetrou

Michalis Potamias

Georgios Kellaris

Sponsors

Contact

111 Cummington Mall Boston MA • 02215

111 Cummington Mall
Boston MA • 02215