Dr Saptarshi Das

Lecturer in Mathematics

Email:

Visit personal website »

Biography:

Saptarshi Das received B.E. in Power Engineering, M.E. in Power Engineering and Ph.D. (Engineering) all from Jadavpur University, India in 2007, 2010, and 2013 respectively. He got the Ministry of Human Resource and Development (MHRD), Govt. of India scholarship (http://mhrd.gov.in) for his master's study and Department of Science & Technology (DST), Govt. of India fellowship (http://www.fist-dst.org/html-flies/purse.htm) for his doctoral study. He worked as a Graduate Engineering Trainee in ALSTOM Projects India Ltd. during June 2007-May 2008. During June 2012-March 2015 he worked as a Postdoctoral Research Fellow at the School of Electronics and Computer Science, University of Southampton, UK where he contributed in three European Commission (EU FP7) funded projects - MICHELANGELO (http://www.michelangelo-project.eu/en/), CHIRON (http://www.chiron-project.eu/) and PLEASED (http://pleased-fp7.eu/) related to biological and biomedical signal processing. From April 2015-August 2015, he worked as a Postdoctoral Research Associate at the Department of Electronic and Electrical Engineering, University of Strathclyde, UK and contributed in the EU FP7 funded project - ELECTRA IRP (http://www.electrairp.eu/) related to distributed intelligence and control of smart grids. During September 2015-August 2017, he has worked as a Postdoctoral Research Associate at the Cavendish Astrophysics Group, Department of Physics, University of Cambridge, UK on collaborative projects with Royal Dutch Shell plc. (http://www.shell.com/) related to machine learning and Bayesian inference in geophysics. Since September 2017, he is a Lecturer in the Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Penryn Campus, UK.

His research interests include dynamical systems and control theory, fractional calculus, signal processing, computational intelligence, and machine learning applications in energy, medicine and biology. He has co-authored 2 books and more than 85 research papers in refereed scientific journals, conferences and book chapters.

His full list of publications is available at

http://scholar.google.co.uk/citations?hl=en&user=AnvxAbkAAAAJ (Google Scholar)

http://www.scopus.com/authid/detail.url?authorId=57193720393 (Scopus)

http://www.researchgate.net/profile/Saptarshi_Das2 (Researchgate)

http://orcid.org/0000-0002-8394-5303 (Orcid)

http://www.researcherid.com/rid/D-5518-2012 (Thomson-Reuters Researcher ID)

His mathematics focus papers are available at

http://www.ams.org/mathscinet/search/author.html?mrauthid=926769

Linkedin profile: https://uk.linkedin.com/in/saptarshi-das-33257628

 

Research Interests:
applied mathematics, dynamical systems, control theory, fractional calculus, computational intelligence, optimization, signal processing, machine learning, data analytics, pattern recognition, energy and power engineering, biomedical engineering, computational and mathematical modeling, statistical inference

 

Collaborative Distance:

  • Erdos Number:

Saptarshi Das (5) - Koushik Maharatna (4) - K. Sridharan (3) - C. R. Subramanian (2) - Joel H. Spencer (1) - Paul Erdos (0)

  • Einstein Number:

Saptarshi Das (6) - Michael P. Hobson (5) - Jonathan R. Gair (4) - Curt J. Cutler (3) - Ezra Ted Newman (2) - Peter Gabriel Bergmann (1) - Albert Einstein (0)

 

Qualifications:

  • Ph.D. in Engineering, Jadavpur University, Kolkata, India (June 2010 - May 2012)
  • M.E. in Power Engineering, Jadavpur University, Kolkata, India (June 2008 - May 2010)
  • B.E. in Power Engineering, Jadavpur University, Kolkata, India (June 2003 - May 2007)

web: http://www.jaduniv.edu.in

 

Work Experience:

 

Open PhD/Post-doctoral Positions:

  • A PhD studentship is available with a project title "Deep Learning Methods for Probabilistic Seismic Inversion and Interferometry". Strong EU/UK candidates are encouraged to apply with CV, list of publications and statement on previous research experience.
    URL: http://www.exeter.ac.uk/studying/funding/award/?id=3126 (Deadline: 8th May 2018).
  • A PhD studentship will be available shortly in the area of smart grid control and data analytics. Strong candidates are encouraged to informally discuss with CV, list of publications and statement on previous research experience.
  • There is no postdoctoral opening right now. However, strong candidates are encouraged to apply for various fellowships and I am happy to be a host and assist in this. Please send your CV, list of publications and statement on previous research experience.
Google+