Dr. Sahely Bhadra

Associate Professor Department of Data Science, IIT Palakkad. Department of Computer Science and Engineering, Founding member of Palakkad Machine Learning Group. Founding member of Mehta Family School of Data Science and Artificial Intalligence. Email: sahely at iitpkd dot ac dot in

Research Area

• Machine Learning, Optimization

• Multi-view data, Time-series data

• Bioinformatics

Sponsored Projects

• Core Research Grand (CRG) from SERB, DST funded Project titled "Robust Multi-view Learning for Extreme Events Detection and Prediction in Time Series Data“. 2021-2024.

• Cyber-Physical Systems in Collaboration with Artificial Intelligence for Smart Agriculture (as Co-investigator ) a project in TIH of IITPalakkad]

• Naval Research Board funded “Ocean Acoustic Data Archival and Analytics Framework”.2021-2023

• Ministry of Education (MEC) Global Programme of Finland funded “AI Technologies for Computational Systems Biomedicine” (2022-2023)

• Global Research Partnerships Development Fund, UK funded for “Responsible Disinformation Detection with an Emphasis on Global South.”(2022-2023)

Awards

• 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.

Students

PhD.

• Ms Jishy (since August 2019, External registration)

• Ms Vinitha Rajan (since August 2021) 

• Mr Vishnu B (since January 2022)

• Mr Ankit (since August 2022)

Graduated Research Scholars

• PhD. Abilasha S
  

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

• MS. Shikha Mallik
  

Graduated MTech. Students who did good project under me

• Mr Chandan (2022-2024) : Computer vision
  

• Mr Nitesh (2022-2024) : Non toxic drug generation
  

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

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

• Ms Pallavi (2020-2022) :  Deep CCA on graphs
  

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

Graduated BTech. Students done BTP with me

• Kavya S and Shailab C (2020-2024):Anomaly detection in sonar signal
  

• Sijuth M (2002-2024): fairness in fake news detection
  

• Sneha B (2020-2024):generative model for time series
  

• Mohammad hussan (2018-2022):Explainable GNN
  

• 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
  

Past positions

• Postdoc. Network Science Institute, Northeastern University, USA (Jan, 2017 - May 2017)
  Adviser: Tina Eliassi-Rad

• Postdoc. Helsinki Institute of Information Technology, Aalto University, Finland (Oct,2014 - Dec,2016)
  Adviser: Samuel Kaski, Juho Rousu

• Postdoc. Max-Planck-Institute for Informatik and Saarland University, Germany (Sep, 2012 - Aug, 2014)
  Adviser : Matthias Hein

• PhD. Computer Science (Aug, 2006 - Sep, 2012)
  Indian Institute of Science (IISc), Bangalore
  Adviser: Chiranjib Bhattacharyya
  Thesis: Learning Robust Support Vector Machine Classifiers with Uncertain Observations