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Dr. Sahely Bhadra
Asst. Professor
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  • Assistant Professor (Jun, 2017 -Till date)
  • Postdoctoral researcher
    • Max-Planck-Institute for Informatik and Saarland University, Germany (Sep, 2012 - Aug, 2014)
    • Helsinki Institute of Information Technology, Aalto University, Finland (Oct,2014 - Dec,2016)
    • Network Science Institute, Northeastern University, USA (Jan, 2017 - May 2017)
  • PhD in Computer Science (Aug, 2006 - Sep, 2012)
  • Software Engineer (Jul, 2004 - Jul, 2006)
    • Wipro Technology, Bangalore
  • B.Tech in Information Technology (Apr, 2000-May, 2004)
    • RCC Institute of Information Technology, Kalyani University, Kolkata

Research interest:

Machine Learning (learning from noisy, incomplete data and multi-view data), optimization (robust optimization and convex optimization for large data), Time series data (anomaly detection), bio-informatics (micro-array data analysis and molecular network analysis).


                 Indo-Finish Mobility grand 2019-2020 from DST and Academy of Finland (June-July 2019).

                 IMPECS postdoc fellowship, 2012-2014.

                 IBM Ph.D. Fellowship Award 2010 - 2011.

                 Best Runner Up paper award in PAKDD, 2009.

Research Grant:

  1.  Core Research Grand (CRG) from SERB, DST of around INR 3.5m on Project titled "Robust Multi-view Learning for Extreme Events Detection and Prediction in Time Series Data “. 2021-2024.
  2. Automatic Pathogen Detection in plants (as Co-investigator ) a project in TIH of IITPalakkad




Core Courses

Optimization (MTech Data Science S1 , Research Scholar, Elective)[2020,2021,2022]

Machine Learning (MTech Data Science S1 , Research Scholar, Elective) [2019,2020,2021,2022]

Machine Learning Lab(MTech Data Science S1, Research Scholar, Elective)[2020,2021]

Introduction to Database Systems (S6, Core, Theory)  [2018,2020]

Introduction to Database Systems Lab (S6, Core, Laboratory) [2018,2021,2022]

Computer Programming Lab (S3, Core, Laboratory) [2017]


Elective Courses 

 Responsible AI (S7, Research, Elective) [2022]

Topics in Machine Learning(S7, Research, Elective) [2018]

 Principles of Machine Learning (S5, Elective) [2017,2018]

Convex Optimization (S6, elective)[2019]

Research Group

PhD Students:

   Ms Abilasha (since August,2018)

   Ms Jishy (since August 2019, External registration)  

   Ms Vinitha Rajan (since August 2021) 

   Ms Vineetha (since August 2021)

   Mr Vishnu B (since January 2022)

   Mr Ankit (since August 2022)


Graduated PhD Students:

     Viivi Uurtio (co-supervising with Prof Juho Rousu of Aalto University, Finland)     

Graduated PhD Students:

     Shikha Mallick (July 2022)

MTech project students:

Ms Sneha (2020-2022) : Analysis of FRB data

Ms Akshata (2020-2022) : Analysis of road network

Ms Pallavi (2020-2022) :  Deep CCA doe graphs

Mr Abhichal (2020-2022) : Automatic count of fruits

BTech projects students:

     Ahmed Zaheer Dadarkar (2017-2021): Extreme Value prediction in Time series data

     Vipin Kumar Seth (2017-2021): Rainfall prediction in a small region around Palakkad 

     Ipsita Singh  (2016-2020): Learning Graph Embedding for Graph Classification

     Adrian McDonald Tariang (2015-2019):  Automated Newspaper Typesetting based on News Values and Prior Editorial Style

     Akshat Choube(2015-2019): Study of Multiview Face Synthesis Using Generative Adversarial Networks (GANs)

     Anish MM (2015-2019): Unsupervised Lower Dimensional Representation Learning for Time Series Data

     Prabal  Vashisht (2015-2019): Multi-view data interpretation and completion using Deep Networks


Research Area
Machine Learning
Additional Information
Other Professional Positions


  • Workshop on Smart and Precise Agriculture in PAKDD 2021. 
  • One-day Symposium on Data Science in IIT Palakkad 2020.

  • Young Researchers’ Symposium Chairs in CODS COMAD 2019

Program committee member:



IEEE PAMI, Bioinformatics, PlosOne

Invited Talk

'Principle Flux mode analysis', Indo-German Frontiers of Engineering Conference (INDOGFOE 2021) Symposium, by IIT KGP, 24 February - 26 February 2021

'Linear Models for Classification', The ACM India summer school on ML and Data Science, by IITM, 4th June - 13th June 2018.

'Machine Learning in Bioinformatics and Health care',  ICMR workshop " Harnessing the power of oncology data analytics for early diagnosis and treatment" 15th February - 16th February 2018


Problems with Partially Observed (Incomplete) Networks: Biases, Skewed Results, and Solutions (with Tina Eliassi-Rad and   Sucheta Soundarajan ) [SIAM SDM 2018] Abstract, Slides, and Resources

Secondary Department

Recent Publications

Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad:
Applied Network Science 5 (1) 60 (2020)
Viivi Uurtio , Sahely Bhadra and Juho Rousu
Proceedings of the 36th International Conference on Machine Learning(ICML) 6383--6391 (2019)
Anish Mathew, Deepak P and Sahely Bhadra
ICML 2019 Time Series Workshop (2019)
Sahely Bhadra
P D., Jurek-Loughrey A. (eds) Linking and Mining Heterogeneous and Multi-view Data. Unsupervised and Semi-Supervised Learning. Springer, Cham 1-25 (2019)
Viivi Uurtio, Sahely Bhadra, Juho Rusu
IEEE International Conference on Data Mining (ICDM'18) (2018)