Manos Athanassoulis

Assistant Professor of Computer Science

College of Arts and Sciences, Boston University

Contact

Office: CCDS 928
Center of Computing and Data Sciences
665 Commonwealth Avenue
Boston, MA, 02215
mathan@bu.edu

I am an Assistant Professor of Computer Science at Boston University, Director and Founder of the BU Data-intensive Systems and Computing (DiSC) lab, and part of the BU MiDAS group. My research is in the area of data systems, focusing on novel cloud data management architectures, complex hybrid transactional/analytical workloads, and new hardware (like non-volatile memories and heterogeneous computation units).

Before joining BU I was a Research Associate at Harvard University. From 2014-2017 I was a Postdoctoral Researcher at Harvard University in the Data Systems Lab with Stratos Idreos, where I was supported by a SNSF Postdoc Mobility Fellowship. I received my PhD (2014) from EPFL, where I worked in the Data-Intensive Applications and Systems Lab on studying data systems architectures for analytics exploiting new storage hardware with Anastasia Ailamaki. I obtained my MSc (2008) in Computer Systems Technology, and BSc (2005) in Informatics and Telecommunications from the University of Athens, Greece. I have also been at IBM Research as a PhD Intern in 2011, and a junior researcher in the University of Athens and the National Technical University of Athens.

Outside of the office I enjoy biking, playing basketball, and studying history.

You can download my CV here.

Computer Science Writing Resources: I fully subscribe to Renée Miller's computer science writing advice.

Recent News

Aug-2023
Our demo "On-the-fly Data Transformation in Action" won "Best Demo" at VLDB 2023!
Aug-2023
Gave a keynote on "Building Robust Data Systems" at the AIDB 2023 workshop (co-located with VLDB 2023)
Jul-2023
Gave a talk on "Software/Hardware Synergy for Transparent Data Transformation" at the University of Athens, Greece
Jun-2023
Honored to be selected as a "Distinguished PC Member" for SIGMOD 2023
Jun-2023
Going to 2023 and VLDB 2023 with two demos and a PhD workshop paper
Jun-2023
Warmest wishes to Subhadeep who will join Brandeis University as an Assistant Professor on July 2023
Apr-2023
Gave a talk on "Relational Fabric: Transparent Data Transformation" as part of the ICDE 2023 the Special Track (Innovation Papers)
Apr-2023
Organized and moderated the panel on "Database Education" at ICDE 2023
Apr-2023
Subhadeep, Niv and I gave a tutorial on "The LSM Design Space and its Read Optimizations" at ICDE 2023
Mar-2023
Going to EDBT 2023 and ICDE 2023 with 5 papers
Feb-2023
Gave a talk on "Relational Fabric: A Tale of Software and Hardware Synergy for Transparent Data Transformation" at Microsoft Research
Feb-2023
Andy and I gave a set of two talks on our work on Robust Tuning LSM Trees at Red Hat Research Days 2023
Dec-2022
I will be on paternity leave for the Spring 2023 semester
Dec-2022
I will serve on the Program Committee for SIGMOD 2024
Jul-2022
Our paper "LSM-Trees Under (Memory) Pressure" has been accepted for presentation at ADMS 2022 (co-located with VLDB 2022)
Jul-2022
Our paper "A Benchmark on Data Sortedness" has been accepted for presentation at TPCTC 2022 (co-located with VLDB 2022)
Jun-2022
Subhadeep and I gave a tutorial on "Dissecting, Designing, and Optimizing LSM-based Data Stores" at SIGMOD 2022
Jun-2022
Our paper "Relational Memory: Native In-Memory Accesses on Rows and Columns" has been accepted for presentation at EDBT 2023
May-2022
I will spend the next three months as a Visiting Faculty at Meta
Apr-2022
I will serve on the Program Committee for ADMS 2022
Mar-2022
Honored to receive NSF CAREER award for building Robust LSM-based Data Stores

Select Honors and Awards


2022

NSF CAREER Award


2021

RedHat Collaboratory Research Incubation Awards (received two awards)

  • software-hardware co-designed data systems (joint work with Prof. Mancuso)
  • robust tuning for data systems (joint work with Prof. Terzi)


2020

Facebook Faculty Research Award


2019

NSF CRII Award


2018

Best of VLDB 2017
Our paper "Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing" was recognized as one of the "Best of VLDB 2017" papers, and was invited for an extended journal version at VLDBJ.

ACM SIGMOD 2018 Distinguished PC Member


2017

Best of ACM SIGMOD 2017
Our paper "Monkey: Optimal Navigable Key-Value Store" was recognized as one of the "Best of SIGMOD 2017 papers", and was invited for an extended journal version at ACM TODS.

SIGMOD Most Reproducible Paper Award
Our paper "UpBit: Scalable In-Memory Updatable Bitmap Indexing" was awarded the SIGMOD Most Reproducible Paper Award in SIGMOD 2017.


2016

Harvard University Certificate of Distinction in Teaching
Awarded on Fall 2015, Spring 2016, & Fall 2016, by the Derek Bok Center for Teaching and Learning at Harvard University.


2014

SNSF Postdoc Mobility Fellowship 2015-16


2011

IBM PhD Fellowship 2011-12


2010

Best of VLDB 2010
Our paper "Aether: A Scalable Approach to Logging" was recognized as one of the "Best of VLDB 2010" papers, and was invited for an extended journal version at VLDBJ.