Hoppa till huvudinnehållet

Saikat Chatterjee

Profilbild av Saikat Chatterjee

UNIVERSITETSLEKTOR

Detaljer

Adress
MALVINAS VÄG 10

Forskare


Om mig

I am an associate professor in Dept of Information Science and Engineering, School of Electrical Engg and Computer Science, KTH, and a Fellow of Digital Futures. I also have a visiting researcher position at Karolinska Institute and Karolinska Hospital in the area 'AI for Health Care'.

Signal procesingand machine learning- these two vast fields are highly interconnected. My research mainly is in these two fields. In few words, the research interests are processing and analysis of signals and/or data for inferences such as detection, estimation, classification, prediction, learning, and finally decision. Please note that I get (easily) excited by the potential and/or prospects of algorithm design, analysisand applications. Therfore, please moderate your expectations. To mention some topics:

  • Signal modeling,such as sparsity, compressive sensing, dynamical systems.
  • Statistical signal processing, statistical machine learning, deep learning.
  • Speech,audio, image processing.
  • Medical data analytics (AI for Healthcare).
  • Perception for autonomous systems.
  • Distributed machine learning
  • Explainable machine learning (XML) or Explainable AI (XAI).

Explainable machine learning is close to my heart having a signal processing background. Medical data analysis is slowly becoming a passion due to inherent challenges and societal importance.

Acknowldgement to Research Funding bodies

I am fortunate to receive support of several funding bodies (perhaps mostly tax-payers money). My group is generously funded by (1) SSF - Swedish Foundation for Strategic Research (https://strategiska.se)  (2) Region Stockholm. (3) Vinnova (4) Digital Futures (https://www.digitalfutures.kth.se/) (5) WASP (https://wasp-sweden.org/)  (6) Companies like Ericsson, Scania, Saab, etc.

Present group members (PhDs and Postdocs)

I am currently supervisor / co-supervisor of the following scholars.

  • Anubhab Ghosh (PhD; my role: main supervisor; co-supervisor: Mikael Skoglund)
  • Gustav Noren (PhD; my role: main supervisor; co-supervisors: Magnus Jasson and Torbjorn Blomqvist @ Saab)
  • Sandipan Das (PhD; my role: main supervisor; co-supervisors: Magnus Jansson and Maurice Fallon @ Oxford)
  • Muhammad Haq (Postdoc; my role: main supervisor; co-supervisors: Sebastian Meijer, and Eric Herlenius @ Karolinska)

Past group members

I was supervisor/ co-supervisor of the following PhD scholars who graduated.

  • Antoine Honore (PhD; my role: main supervisor, co-supervisors: Mikael Skoglund and Eric Herlenius @ Karolinska)
  • Mostafa Shayan (Postdoc; my role: co-supervisor, main supervisor: Sara Garcia Ptacek @ Karolinska)
  • Alireza M. Javid (PhD; my role: main supervisor, co-supervisor: Mikael Skoglund); graduated in 2021. Thesis title: "Neural Network Architecture Design: Towards Low-complexity and Scalable Solutions"
  • Xinyue Liang (PhD; my role: main supervisor, co-supervisor: Mikael Skoglund); graduated in 2021. Thesis title: "Decentralized Learning of Randomization-based Neural Networks"
  • Ahmed Zaki (PhD; my role: co-supervisor, main supervisor: Lars K. Rasmussen); gradutaed in 2018. Thesis title: "Cooperative compressive sampling".
  • Arun Venkitaraman (PhD; my role: co-supervisor, main supervisor: Peter Händel); graduated in 2018. Thesis title: "Graph signal processing meets machine learning".
  • Dave Zachariah (PhD; my role: co-supervisor, main supervisor: Magnus Jansson); graduated 2013. Thesis title: "Estimation for Sensor Fusion and Sparse Signal Processing".
  • Amirpasha Shirazinia (PhD; my role: co-supervisor, main supervisor: Mikael Skoglund); graduated 2014. Thesis title: "Source and Channel Coding for Compressed Sensing and Control".
  • Dennis Sundman (PhD; my role: co-supervisor, main supervisor: Mikael Skoglund); graduated 2014. Thesis title: "Greedy Algorithms for Distributed Compressed Sensing".

Master Thesis Opportunity

I am willing to supervise interesting master thesis projects, preferably within the above mentioned research topics, but not limited to them. Interested candidates may contact either by a mail or to drop in my office for an informal discussion.

Collaborations

I am open to collaborations. You are welcome to approach me. Few points below.

  • KTH has an outstanding enviroment and many of my colleagues are experts, with whom I collaborate in a regular basis. You may directly approach them, or approach me to bring them on board.
  • I have established collaborations with several institutions across the world.
  • Fortunately I enjoy close cooperations with several companies and medical institutions, where I try to place my students for thesis and jobs.
  • From this year 2022, supported by a generous grant from SSF, I spend time in Karolinska University Hospital and Karolinska Institutet for medical data analysis.
  • I also like to provide consultancy in data analysis (or data science). Please note that the consultacy will be only given if KTH has no competing interest.

What I do wish or like

I love my primary jobs - Teaching and Research. In research, I likealgorithm design and mathematicalanalysis. While I like various application scenarios,Medical Data Analysisin the larger area AI for Health Care is slowly becoming an objective, perhaps because Covid has taught us a meaning of life. A new wish - research fordefence of Sweden, Nordics or EU, given the sudden war situations. While I get (easily) excited by machine learning and sigal processing, I try to avoid 'extraordinary wishful claims', but search for theoretical motivations and analytical foundations. Naturally, we proceed withexplainable AI (XAI) and/orexplainable machine learning (XML).


Kurser

Examensarbete i datalogi och datateknik med inriktning mot industriell ekonomi, avancerad nivå (DA235X), examinator | Kurswebb

Examensarbete i datalogi och datateknik med inriktning mot maskininlärning, avancerad nivå (DA233X), examinator | Kurswebb

Examensarbete i datalogi och datateknik med inriktning mot systemteknik och robotik, avancerad nivå (DA236X), examinator | Kurswebb

Examensarbete inom datalogi och datateknik med inriktning mot ICT innovation, avancerad nivå (DA256X), examinator | Kurswebb

Examensarbete inom datalogi och datateknik med inriktning mot ICT innovation, avancerad nivå (DA258X), examinator | Kurswebb

Examensarbete inom elektroteknik med inriktning mot ICT innovation, avancerad nivå (EA256X), examinator | Kurswebb

Examensarbete inom elektroteknik med inriktning mot ICT innovation, avancerad nivå (EA258X), examinator | Kurswebb

Examensarbete inom elektroteknik med inriktning mot information och nätverksteknologi, avancerad nivå (EA260X), examinator | Kurswebb

Examensarbete inom elektroteknik med inriktning mot systemteknik och robotik, avancerad nivå (EA236X), examinator | Kurswebb

Examensarbete inom elektroteknik, avancerad nivå (EA238X), examinator | Kurswebb

Examensarbete inom elektroteknik, avancerad nivå (EA250X), examinator | Kurswebb

Examensarbete inom informationsteknik, avancerad nivå (IA250X), examinator | Kurswebb

Maskininlärning och dataanalys (EQ2415), examinator, kursansvarig, lärare | Kurswebb

Mönsterigenkänning och maskininlärning (EQ2341), examinator, kursansvarig, lärare | Kurswebb

Mönsterigenkänning, maskininlärning och data analys (FEO3274), examinator, kursansvarig, lärare | Kurswebb

Tal- och ljudsignalbehandling (EQ2321), examinator, kursansvarig, lärare | Kurswebb