Ph.D Scholar
Dept. of Computer Science and Engineering
IIT Palakkad
Research interests
Time Series Data Analysis, Anomaly detection, Extreme event prediction
Machine Learning and Data Analysis, Astroinformatics, NLP
- Publications
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Recent Publications
- Warping Resilient Scalable Anomaly Detection in Time Series, S Abilasha, S Bhadra, P Deepak, A Mathew, Neurocomputing, 2022, Elsevier [link]
- Deep Extreme Mixture Model for Time Series Forecasting, S Abilasha, Sahely Bhadra, Ahmed Dadarkar, P Deepak, CIKM 2022, [link]
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Publications from Masters
- A genetic algorithm based heuristic search on graphs with weighted multiple attributes, IEEE International Conference on Next Generation Intelligent Systems (ICNGIS) , 1-3 Sept. 2016 [link]
- A Survey on Multiple Attribute Graph Indexing Methods, International Journal of Computer Science Trends and Technology (IJCST) –Volume 4 Issue 2, Mar -Apr2016
- Research Plans
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- Warping Robust Multivariate Anomaly detection
- Anomaly detection in Astronomical data
- Education
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Indian Institute of Technology, Palakkad
PhD: Machine Learning, 2018-Present
University of Calicut
M.Tech: Computer Science and Engineering ,2014-2016
B.Tech: Computer Science and Engineering, 2010-2014
- Technical Skills
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Programming languages
Python, C, C++, Matlab, Java, C#
Tools and Packages
Tensorflow, Pytorch, Scikit-Learn, Numpy, Scipy, NLTK
- Awards
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- NSF/SIGWEB travel grant CIKM 2022
- Experience
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- Guest Lecturer, Dept. of Computer Science, Kerala Government Polytechnic College, Kozhikode
- Asst. Professor, Dept. of CSE, LBS Applied Science College, Parappanangadi