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Dr. SHAILESH S

Assistant Professor

Department of Computer Science

Cochin University of Science and Technology
Kochi - 682022, Kerala, India

E-mail-

shaileshsivan@cusat.ac.in

Web Address

https://www.shaileshsivan.info



BRIEF BIO
Dr. Shailesh S has awarded with B.Tech in Computer Science and Engineering from Kerala University, and M.Tech in Computer and Information Science from Cochin University of Science and Technology(CUSAT). He earned M.Sc in Mathematics from Madras University. He reveived his Ph.D. from Department of Computer Applications, CUSAT, under the guidance of Dr. M. V. Judy. Formally he worked as Assistant Professor, Computer Sience Department, Sacred Heart College,Thevara. He has 4+ years of teaching and research experience , also 4 years of relevant industrial experience as a Senior Software Engineer in the IT industry. He served as a resource person and as a trainer for the different invited talks, technical sessions, and hands-on workshops at universities, colleges, IT industry, and government institutions in the domain of AI/ML/CV. He is a reviewer of international journals and conferences. He qualified UGC NET 2017,2018,2019 and UGC JRF 2019. He also cracked GATE 2018, 2017, 2016, 2013.

RESEARCH INTERESTS
Algorithms and Theorotical Computer Science, Artificial Intelligence, Computer Vision and Image Processing, Information Retrival and Data mining, Machine Learning and Deep Learning, Text Mininng and Natural Language Processing

RESEARCH PROFILES
Publons : https://publons.com/researcher/4326596/shailesh-sivan/
Scopus : https://www.scopus.com/authid/detail.uri?authorId=57189092521
Google Scholar : https://scholar.google.co.in/citations?user=t84uybwAAAAJ&hl=en

JOURNAL PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 6]
  • A convolution neural network approach to Doppler spectra classification of 205 MHz radar, Theoretical and Applied Climatology, Vol. 149, 2022

  • Understanding dance semantics using spatio-temporal features coupled GRU networks, Entertainment Computing, Elsevier Vol. 42, 2022

  • Compression Strength Prediction Using Machine Learning Tech- niques, International Journal of Advanced Trends in Computer Science and Engineering, Vol. 10, 2021

  • Computational Framework with Novel Features for Classification of Foot Postures in Indian Classical Dance, Intelligent Decision Technologies: An International Journal, IOS Press Vol. 14, 2020

  • Automatic Annotation Of Dance Videos Based On Foot Postures, Indian Journal of Computer Science and Engineering, Engg Journals Publications Vol. 11, 2020

  • Handoff Delay Optimization Using Hybrid Prediction Model, International Journal of Networked and Distributed Computing, Atlantis Press Vol. 6, 2018

  • CONFERENCE PUBLICATIONS (RECENT) [TOTAL PUBLICATIONS : 12]
  • Yoga Asana Identification: A Deep Learning Approach, Second Annual International Conference on Data Science, Machine Learning and Blockchain Technology, AICDMB 2021 (IOP Conference Series: Material Science and Engineering), 2021

  • A Survey on Surface Crack Detection of Concretes Using Traditional, Image Processing, Machine learning and Deep Learning Techniques, IEEE International Conference on Communication, Control and Information Sciences (ICCISc-2021), 2021

  • Object Classification in Underwater SONAR Images using Transfer Learning Based Ensembled Model, 0th International Conference on Advances in Computing and Communications - 2021 (ICACC-2021), 2021

  • A Novel Approach To Sketch Based Image Retrieval Using Unsupervised Learning And Shape Descriptors, National Conference on IoT -2020, 2020

  • Capsule Networks for Classifying Conflicting Double-Handed Classical Dance Gestures, 4th International Conference on Data Engineering and Communication Technology(ICDECT) 2020, 2020

  • Classification of Sequence Data Using LSTM:An Application on Chaotic Sequences, International Conference on Modeling Simulation and Optimization 2020 (CoMSO2020) (Springer), 2020

  • Survey on Deep Learning Techniques Used for Classification of Underwater Sonar Images, International conference on iot, social, mobile, Analytics and cloud in computational vision and bio-engineering (ISMAC - CVB 2020), 2020

  • An efficient and Secure BST based Indexing of Encrypted Trigrams During Fuzzy Keyword Searching on Cloud, National Conference on Emerging Technologies in Computer Science(NCETCS-19), 2019

  • Incorporating Homomorphic Encryption with Hybrid Numerical Authentication for Blind Computer Users, IEEE International Conference on Intelligent Computing, Instrumentation & Control Technologies (ICICICT-2017), 2017

  • Optimization of Handoff Delay and Location Prediction of Mobile Station using GPS Integrated SIM Module in Cellular Networks, IEEE International Conference on Intelligent Computing, Instrumentation & Control Technologies (ICICICT2017), 2017