Dr Nachiketa Chakraborty

-
Lecturer in Computer Science
- Welcome Week Coordinator
- Open Days and Offer Holder Days Joint Co-ordinatorÌý
- India Partnership Coordinator
Ìý
Office
Room 145ÌýBuilding location
Polly VacherAreas of interest
- Mathematics of Data Science
Ìý Ìý Ìý Ìý- Causality
Ìý Ìý Ìý Ìý- Signal processing / Time-Series Analysis
Ìý Ìý Ìý Ìý- Machine Learning & Artificial Intelligence
Ìý Ìý Ìý Ìý- Graphical Models and Bayesian Inference - Physics
Ìý Ìý Ìý Ìý- Solar and Astrophysics
Ìý Ìý Ìý Ìý- Dynamical Systems Studies with Observations - Environmental Sciences
Ìý Ìý Ìý Ìý- Space Weather
Ìý Ìý Ìý Ìý- Climate
Teaching
- Undergraduate (present):
– Data Integration and Information Visualisation –ÌýModule Convenor - Postgraduate (past and present):
– Artificial Intelligence and Machine Learning – Module Convenor
– Causal Inference and Decision
Research centres and groups
- Computer Science : Data Science and Artificial Intelligence, Advanced Computing for Environmental Science
- Meteorology : Data Assimilation Research Centre (DARC), Solar Physics/Space Weather
Research projects
My research is at the intersection of mathematics of data science research and domains like physics and geosciences. I am interested in time-series studies, causal inference andÌýartificial intelligence applied to learning from observational (time-domain) data.
A centralÌýtheme of my work is to develop and combine novel mathematical methods (modernÌýstatistical and machine-learning techniques) for extracting insights from data withÌýconventional modelling approaches (theoretical and phenomenological) in aforementionedÌýdomains. With this unique foundation, I aim to build and train interdisciplinary researchersÌýto tackle complex problems in this data-driven era of scientific research.
Background
- Education:
Ìý Ìý Ìý Ìý Ìý Ìý-University of Illinois (UIUC) Urbana, IL, USA
Ìý Ìý Ìý Ìý Ìý Ìý Ph.D. in Astronomy August 2013
Ìý Ìý Ìý Ìý Ìý Ìý Dissertation: “Standard Model Foregrounds in Nuclear and Particle Astrophysicsâ€�,
Ìý Ìý Ìý Ìý Ìý Ìý Supervised by Prof. B. D. Fields
Ìý Ìý Ìý Ìý Ìý Ìý -Tata Institute of Fundamental Research (TIFR) Mumbai, MH, India
Ìý Ìý Ìý Ìý Ìý Ìý ÌýM.Sc. in Physics July 2007
Ìý Ìý Ìý Ìý Ìý Ìý Dissertation: “Low Frequency GMRT Imaging of the field of RXCJ1516.3+0015â€�,
Ìý Ìý Ìý Ìý Ìý Ìý ÌýSupervised by Prof. R. Nityananda
- Teaching:
Ìý Ìý Ìý Ìý Ìý Ìý -Undergraduate (past)
Ìý Ìý Ìý Ìý Ìý Ìý ÌýMathematical Methods II (Advanced – for engineers and physicists)
Ìý Ìý Ìý Ìý Ìý Ìý ÌýAdvanced Topics in Statistics
Ìý Ìý Ìý Ìý Ìý Ìý-Postgraduate (past)
Ìý Ìý Ìý Ìý Ìý Ìý ÌýIntroduction to Machine Learning
Ìý Ìý Ìý Ìý Ìý Ìý ÌýIntroduction to Statistical Methods in Data Science
Academic qualifications
ÌýProfessional bodies/affiliations
• Chair of 91µ¼º½ Local Group in Royal Statistical Society (RSS), Fellow of RSS• Fellow of Royal Astronomical Society
• Alumni of Alexander von Humboldt Foundation
Websites/blogs