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Dr. Shailesh Sivan

Assistant Professor,
Department of Computer Science,
Cochin University of Science and Technology

ABOUT ME

Dr Shailesh Sivan

I’m a technology evangelist / educator / researcher having relevant experience in both academic and industry currently working as an Assistant Professor at Department of Computer Science, Cochin University of Science and Technology. The core area of interest includes different Artificial Intelligence and Data Science domains like Deep Learning,Computer Vision, Machine Learning, NLP , Data Mining, Soft Computing and also into Quantum Computing and Knowledge Graphs. I have cracked and qualified UGC NET / JRF, GATE exams several times. I’m Looking forward to excel in the field of technology research and development, which is going to transform the digital era

EXPERIENCE

| ASSISTANT PROFESSOR

Department of Computer Science, CUSAT

  • Teaching students pursuing Masters in Technology specialized in Software
    Engineering and Computer and Information Science
  • Carry out research activities.

| POSTDOC RESEARCH ASSOCIATE

Knowledge Media Institute, Open University

  • Work associated with project “Cultural Heritage Knowledge Graphs” funded
    by EU Horizon 2020 Programme

| RESEARCH & DEVELOPMENT

DCA Cochin University of Science and Technology, CUSAT

  • Thesis : Computational Framework for Identification of Spatio-Temporal
    Patterns in Classical Dance using Machine Learning Techniques.
  • Design Development and Deployment of Artificial Intelligence, Machine
    Learning, Deep Learning and Data Science Project

| ASSISTANT PROFESSOR

Sacred Heart College, Thevara

Working as Asst. Professor in Computer Science Department. Teaching students doing Bachelor’s degree in Computer Application specialization in Cloud Computing and Mobile Application Development

| SENIOR SOFTWARE ENGINEER

Travancore Analytics Inc., Athulya Infopark Kakkanad

I was working with C++ application development team. Involved in the analysis, designing, development, testing, and deployment phases of the project ”REMO”.

| SENIOR SOFTWARE ENGINEER

Techgentsia Software Technologies Pvt.Ltd ,Infopark Cherthala

I was working in the C++ application development team of Techgentsia Software Solutions for developing Windows Client Applications. Scope of work includes designing developing C++ applications and customizing Fire breath Plugins for video conferencing and other collaboration tools.

AREA OF EXPERTISE

  • Computational Dance Analytics 
  • Experience with Multi-GPU environments : 10 X GPU based high performance work stations
  • Image and Video Processing, Computer Vision, Computer Graphics
  • Deep Learning – CNN, RNN, LSTM, Semantic Segmentation, Localization, Auto Encoders and other functional models
  • Machine Learning – Support Vector Machine, Neural Networks, Probabilistic Model, KNN, Random Forest, K-Means
  • Big Data Processing with Hadoop, Spark, Kafka
  • Experience with high performance hadoop cluster : Cluster Supports Hortonworks Data platform, HDP 3.0
  • Computational Linguistics, Data and Text Mining, NLP
  • Soft Computing – Genetic Algorithm, Swarm Intelligence, Fuzzy Logic
  • Data Structures, Algorithms and Theory of Computation
  • Discrete mathematics, Number Theory, Graph Theory, Calculus and Linear Algebra

TECHNICAL SKILLS

AI/ML and DataScience Frameworks
SK-Learn
0%
OpenCV
0%
OpenGL
0%
Anaconda
0%
Tensorflow
0%
PyTorch
0%
Orange
0%
Hadoop
0%
Spark
0%
Pandas
0%
MatLab
0%
Weka
0%
Spacy
0%
NLTK
0%
PoweBI
0%
Tableau
0%
Web Application Frameworks
AngularJS
0%
ReactJS
0%
Django
0%
Flask
0%
ASP.NET
0%
JQuery
0%
BootStrap
0%
Programming Languages and Scripts
Python
0%
R
0%
C
0%
C++
0%
Java
0%
C#
0%
Visual C++
0%
Android
0%
JSP
0%
PHP
0%
HTML
0%
CSS
0%
JSON
0%
XML
0%
Database Technologies
MySQL
0%
Oracle
0%
MSSQL
0%
SQL Lite
0%
PostgreSQL
0%
Workbench
0%
PhpMyAdmin
0%
Project and Code Management
Agile
0%
GIT
0%
SVN
0%
Jira
0%
Doxygen
0%
Bitbucket
0%

EDUCATION

| Ph. D

Computer Science

| M.Tech

Computer & Information Science

| B.Tech

Computer Science and Engineering

| M.Sc

Mathematics

MOST PROUD OF

Young Scientist/Researcher Award 2020

Acheived Young Scientist/ Researcher award in institutional level among different departments, presented by Sacred Heart College, Thevara.

Rashtrapathi Scout Award (President Scout Award)

Achieved Rashtrapathi Scout Award or President Scout Award for recognising the best performance of scouts at National Level

Winner of Technical Competitions

Achieved 1st place in Application Software Development Competition, Paper Presentation Competition at different inter collegiate Technical Festivals

Being a Classical Dancer

Trained classical dancer and achieved lot of victories in different art festivals

Junior Research Fellowship (JRF)

Qualified NET 2019 for eligibility of Junior Research Fellowship.

Qualified NET 2017,2018,2019

Qualified NET for eligibility of Assistant Professor.

Qualify Gate 2018, 2017, 2016, 2013

Cracked GATE four times in 2018, 2017, 2016, 2013 with scores 563, 484, 501, 424 respectively.

JOURNAL PUBLICATIONS

Handoff Delay Optimization Using Hybrid Prediction Model

International Journal of Networked and Distributed Computing, Vol. 6, No. 2 (April 2018) 99-107, Atlantis Press

Computational Framework with Novel Features for Classification of Foot Postures in Indian Classical Dance

Intelligent Decision Technologies: An International Journal Volume 14 (2020) Page : 119–132, IOS Press

Automatic Annotation Of Dance Videos Based On Foot Postures

Indian Journal of Computer Science and Engineering Vol. 11 No. 1 Jan-Feb 2020, Engg Journals Publications

Understanding Dance Semantics us- ing Spatio-Temporal Features Coupled GRU Networks

Entertainment Computing, Elsevier

Compression Strength Prediction Using Machine Learning Tech- niques

nternational Journal of Advanced Trends in Computer Science and Engineering, Volume 10 No.1 January - February 2021

PATENTS

Filed patent on the invention VOICE ASSISTED OBTUSE ATM in Indian Patent Journal with reference number 202041029173

The design and development in the field of usable security have not considered people with disabilities. To carry out transactions like banking, people with vision impairment are facing a lot of challenges as they do not have a dedicated system to assist them. This study proposes a voice-assisted obtuse ATM designed specifically for blind people. The proposal put forward a two-layer authentication mechanism that prevents several types of security breaches. Numerical values assigned by the user for a set of audio clips along with a random generated secret expression is kept as the security credentials. These credentials are encrypted using fully homomorphic encryption and saved in the authentication server which prevents server attacks. Using this method, a user is able to generate a session password for each login to access this ATM. For enhancing the security as well as usability a gadget device is also developed.

WORKSHOPS & TALKS

  • Invited talk on “Data and Bussiness Analytics :Explore Concepts, research, and Opportunities ” – NMSM Govt College, Kalpetta
  • Talk on “A kick sart to data and bussiness analytics” at International Webinar on “Data Science”, MES T.O Abdulla Memorial College Kunnukara,Aluva
  • Faculty Development program on AI Enabled IoT Networks – Adi Shankara Institute of Engineering and Technology, Kalady, Kerala.
  • Three day Workshop on Deep Learning for trainers– Saintgits College of Engineering, Kottayam
  • Workshop on Bigdata Analytics Using Spark –DDUK CUSAT
  • One-day workshop on Introduction to Latex us-
    ing Overleaf – Providence College of Engineering
  • Webinar on Data and Business Analytics – BIZ’ Talkathon 1.1. IMT Punnapra
  • Webinar on Unravelling Machine Learning – Geek Talkathon 1.1. CEM Punnapra
  • Webinar on Introduction to Machine Learning University Institute of Technology , Alappuzha
  • Three day national workshop on Python and Latex – Sree Shankara College, Kalady
  •  Faculty Development Programme on Research Methodology in Computer Science for – Naipunaya
    School of Management, Cherthala
  • Five day Online Faculty Development Programme
    on Image processing and Computer Vision for
    College of Engineering Kidangoor
  • Five Day online Hands-on Workshop on Machine
    Learning using Python. – Govt Engineering College, Idukki
  • International workshop on Machine Learning Applications – SJCET Pala
  • Five day Online National Webinar on “Python Programming – Mary Matha Arts and ScienceCollege, Mananthavady, Wayanad
  • Three day Online hands-on workshop on “Python Programming – St.Joseph College, Kannur
  • Talk on “Deep Dive into Machine Learning” as a part forFaculty Development Programme – conducted by Division of IT – SOE, CUSAT
  • Talk on Webinar session “Machine Learning : Transforming DigitalWorld” – CHMKM Government Arts and Science College, Tanur, Malapuram
  • Talk on Webinar session “Robotics in Daily Life” – THE Indian Community School, Kuwait
  • Five day Onl ine hands-on workshop on “Machine Learning using Python” – Division of Information Technology – School of Engineering , Cochin University of Science and Technology
  • Five- day workshop on Deep Learning – DCA CUSAT
  • One day hands-on workshop on “Introduction to Machine Learning” – Vimala College, Thrissur
  • Three day hands-on workshop on “Basic Machine Learning” – College of Engineering, Thrikaripur
  • Three day corporate training on “Machine Learning and Deep Learning for Computer Vision and Image Processing” for Software Developers at Indocosmo Systems Pvt. Ltd.
  • Two-day Hands-on Workshop on Practical Machine Learning using Python. – Sacred Heart College, Thevara
  • Two-day workshop on OpenGL – College of Engineering, Cherthala
  •  One-day workshop on Deep learning – College of Engineering, Aranmula
  • One-day Hands-onWorkshop on Machine Learning using Python – College of Engineering and Management, Punnapra
  • Two-day Hands-onWorkshop on Machine Learning using Python. – College of Engineering Aranmula 
  • One-day workshop on Introduction to Latex using ShareLatex – Sacred Heart College, Thevara 
  • One- day Android Workshop on Introduction to Android Programming – Ridgecone Technologies
  • Five-day workshop on Java Application Development – College of Engineering, Cherthala 
  •  One day session on ‘Introduction to Machine Learning & Artificial Intelligence’ as a part of ‘Year of Cyber Policing’ conducted by Kerala Police Academy
  • Two-dayWorkshop on Practical Machine Learning – Computer Application Department, CUSAT
  • One day session on ‘Introduction to Machine Learning & Artificial Intelligence’ as a part of ‘Year of Cyber Policing’ conducted by Kerala Police Academy
  • Two-day Hands-onWorkshop on Machine Learning using Python. – FOSS CELL, Govt Engineering College, Idukki

CONFERENCES PUBLICATIONS

Advanced Session Password Authentication for Blind Computer Users


Proceedings of International Conference on Information Science(ICIS-2014)

Clustering DNA Sequences of Aspergillus Fumigatus Using Incremental Multiple Medoids


IEEE Conference Publication for 5th International Conference on Advances in Computing and Communications (ICACC-2015)

Incorporating Homomorphic Encryption with Hybrid Numerical Authentication for Blind Computer Users

IEEE International Conference on Intelligent Computing, Instrumentation & Control Technologies (ICICICT-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)

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)

A Novel Approach To Sketch Based Image Retrieval Using Unsupervised Learning And Shape Descriptors

National Conference on IoT -2020

Capsule Networks for Classifying Conflicting Double-Handed Classical Dance Gestures

4th International Conference on Data Engineering and Communication Technology(ICDECT) 2020 (Springer)

Classification of Sequence Data Using LSTM:An Application on Chaotic Sequences

International Conference on Modeling Simulation and Optimization 2020 (CoMSO2020) (Springer

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), (SSRN ELSEVIER)

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)

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)

Object Classification in Underwater SONAR Images using Transfer Learning Based Ensembled Model


10th International Conference on Advances in Computing and Communications - 2021 (ICACC-2021)

BOOK CHAPTERS

Capsule Networks for Classifying Conflicting Double-Handed Classical Dance Gestures

Data Engineering and Communication Technology Springer , ISSN - 2367-4512, DOI - 10.1007/978-981-16-0081-4

Classification of Sequence Data Using LSTM:An Application on
Chaotic Sequences

Modeling, Simulation and Optimization - Springer , ISSN - 2190-3018, DOI - 10.1007/978-981-15-9829-6

LANGUAGES

English
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Malayalam
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Hindi
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Tamil
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PERSONAL INFO

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