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Home \ Research \ Research Centre \ Centre for Advanced Data Science

Division of Advanced Data Science

Research Experts

Dr. Susan Elias

Professor & Deputy Director

Dr. Jegannathan L

Professor

Dr Shridevi S

Associate Professor

Dr. B. Radhika Selvamani

Assistant Professor (Sr)

Dr. Amit Kumar Tyagi

Assistant Professor (Sr)

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Dr. Susan Elias

Designation : Professor & Deputy Director

Email : susan.elias@vit.ac.in

Ph.D : College of Engineering Anna University (2008)

Post Doctoral Fellowship: IIT Madras - (July 2010 to Jan 2011)

Teaching experience : 29 years

LinkedIn Profile: www.linkedin.com/in/dr-susan-elias-0465417a

Current Research:

Applications of Machine Learning in the following areas:

Social Media Analytics
Lung Cancer prediction
Musculoskeletal Disorder Analysis
Gait Biometrics
Reading Disorder in Children

Publication Details:

https://scholar.google.com/citations?hl=en&user=vfwRLFgAAAAJ

https://www.scopus.com/authid/detail.uri?authorId=15063839800

Achievements:

Vax India Tech - 2020

October 2020 - Founded - Vax India Tech - https://vaxindiatech.web.app/
December 2020 - Team - Vax India Tech – Presented at

MIT Boston, USA – Vaccine for All Conference https://pathfinders.mit.edu/

February 2021 – Team Vax India Tech – Second Position

EY Techathon 2021 - https://www.ey.com/en_in/techathon

Samsung PRISM 2020

March 2021 - Mentor – Certificate of Excellence

Project title – AL Based Motion Classification

Won the Smart India Hackathon 2020

Mentor: Team TechnoBuilders VIT Chennai

Problem Statement NS270 - Govt. of Bihar (DOA)

Estimation of crop yield using modern ICT tools which is quick and reliable for making a realistic plan for procurement and to compensate farmers for yield loss if any.

Dr. Jegannathan L

Designation : Professor

Email : jeganathan.l@vit.ac.in

Ph.D : Indian Institute of Technology Madras, Chennai.

Current Research:

Research Areas: Theoretical (Mathematics of) Machine learning, Machine learning Models for affordable health-care, Intelligence-based evaluation of descriptive answers in an online examination, Minimum-complexity ML models through Cellular Learning Automata/Stochastic Automata. The current focus areas are:

Linear separability problem
Impact of a dynamic kernel in a CNN
On the equivalence of CA & CNN
Developing a learning model with Cellular Linear Automata for a specific application. A learning model with stochastic automata
ML based Parallelization.
ML-based model for evaluation of descriptive answers

Publication Details:

Google Scholar Link : https://scholar.google.com/citations?user=HVEnk0YAAAAJ&hl=en

Dr Shridevi S

Designation : Associate Professor

Email : shridevi.s@vit.ac.in

Ph.D : Manonmaniam Sundaranar University, 2018

LinkedIn Profile : https://www.linkedin.com/in/shridevi-s-94301a75/

Current Research :

Deep learning Framework for Agriculture datasets
Smart Health Care Systems
Semantic deep learning frameworks for classification
Ontology based Deep learning frameworks
Deep Learning on Knowledge Graphs

Publication Details :

https://scholar.google.com/citations?hl=en&user=GGOyi-YAAAAJ

https://www.scopus.com/authid/detail.uri?authorId=57144528100

Scientific Service:

Organizing a special session titled Semantic AI towards Industry 4.0 for the International Semantic Intelligence Conference 2021- ISIC 2021.

https://sites.google.com/view/isic2021-special-session-saii4

Dr. B. Radhika Selvamani

Designation : Assistant Professor (Sr)

Email : radhika.selvamani@vit.ac.in

M.Sc : Indian Institute of Technology Madras 2003

Ph.D : Indian Institute of Technology Madras 2009

LinkedIn Profile : https://www.linkedin.com/in/radhika-selvamani-b-4416b11b/

Current Research :

Decision Support Systems
- Case Based Knowledge Management Systems
- Chromotogram Based Soil Management System
- Process Oriented Model Based DSS
Natural Language Processing
- Sentiment Analysis
- Dialogue based systems
IOT Based AI Applications

Publication Details :

https://scholar.google.com/citations?user=Nefoy7cAAAAJ&hl=en

Achievements :

Obtained Invitation to visit University of Tallahasse, Florida, USA as a visiting researcher 2013
Received travel support from the department of computer science and engineering, IITM to present paper in the UKCBR workshop in Case Based Reasoning, Cambridge Dec 10-13, 2007
Received travel support from CSIR and IITM Alumni to present poster in the International Conference on Case Based Reasoning, Norway, June 23-26, 2003

Dr. Amit Kumar Tyagi

Designation : Assistant Professor (Sr)

Email : amitkumar.tyagi@vit.ac.in

Ph.D : Pondicherry Engineering College, 2018

Current Research :

Smart and Secure Computing
Network and Information Security (including Cyber Security)
Theoretical Computer Science
Privacy (including Genomic, and Data)
Machine Learning with Big Data
Blockchain Technology

Publication Details :

https://scholar.google.co.in/citations?user=RIgaVmUAAAAJ&hl=en

Achievements :

Recipient of NF-PwD Fellowship for pursuing Ph.D. in year 2013.
Best Undergraduate Thesis Award, A.P.J. Abdul Kalam University (Formerly U.P.T.U), Lucknow 2009 (published by LAP LAMBERT Academic Publishing, ISBN: 978-3-330-00604-1).
Best Paper Award, in ICCSA 2020 (Italy, Europe) for Research Article titled “A Novel Feature Extractor Based on the Modified Approach of Histogram of oriented Gradient”.