Skip to main content


Photo of Dr Saptarshi Das

Dr Saptarshi Das

Lecturer in Mathematics (E&R)


Visit personal website »

Telephone: 01326213857

Saptarshi is an interdisciplinary AI and data scientist with background in control and power engineering. His present research interests include dynamical systems and control theory, big data analytics, machine learning, computational intelligence, signal processing, and fractional calculus in diverse applications in energy, environment, and biomedical engineering. He is interested in quality of data in diverse engineering system design and decisions, statistical methods for analysing both real-world and simulated data from large and complex mathematical and computational models of low and high dimensional systems.

Details of recent research highlights are available on the Environmental Mathematics group webpage. Saptarshi is also the Institute for Data Science and Artificial Intelligence (IDSAI) theme lead for the Cornwall Hub.


Saptarshi Das received B.E. and 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 Development (MHRD), Govt. of India scholarship for his master's study and Department of Science & Technology (DST), Govt. of India fellowship 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 EU projects related to bio-signal processing and machine learning. From April 2015-August 2015, he worked as a Postdoctoral Research Associate at the Department of Electronic and Electrical Engineering, University of Strathclyde, UK 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. 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. He has co-authored 2 books and more than 100 research papers in refereed scientific journals, conferences and book chapters. His full list of publications is available at:

Google Scholar (h-index = 29),
Scopus, Researchgate, Orcid, Publons, AMS MathSciNet, Linkedin.

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



  • Postgraduate Certificate in Academic Practice (PCAP), University of Exeter, UK (June 2018 - September 2019),
  • Ph.D. in Engineering, School of Nuclear Studies & Applications, Jadavpur University, Kolkata, India (June 2010 - May 2012),
  • M.E. in Power Engineering, Department of Power Engineering, Jadavpur University, Kolkata, India (June 2008 - May 2010),
  • B.E. in Power Engineering, Department of Power Engineering, Jadavpur University, Kolkata, India (June 2003 - May 2007).

Professional Membership: IEEE

Collaboration Distance on AMS MathSciNet:

  • 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)

Open PhD/Post-doctoral Positions:

  • Two Mathematical Research PhD Studentships are available through the EPSRC DTP scheme (Theme: Mathematics of the Environment and Sustainability). Deadline: 25th January, 2021. Home (UK) students are eligible for full funding. International students are eligible for part funding.
  • PhD studentships at the UKRI CDT for Environmental Intelligence: (deadline: 18th January 2021)
  • There is no post-doctoral opening right now. However, strong candidates are encouraged to send CV, list of publications and research plan to discuss further for fellowship applications.