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Research > Centre of Excellence > Centre of Excellence in Data Science (CEDS)

Data Science (CEDS)

Vision
To be a globally recognised centre of excellence in the field of Data Science to promote data driven problem solving research and industry projects.

Mission

  • To upskill students and faculty members in the Data science Field and AI.
  • To help customers build new solutions and digital assets to keep them ahead of the curve.
  • To attain excellence in data analytics through focused multidisciplinary research and training.
  • To work in collaboration with industry and academic institutions to help them generate knowledge from data and create business value.

Research Activities

  1. Academic Research- The centre supports and fosters academic research in the field of data science and AI.
  2. Knowledge Dissemination: The centre disseminates research reports/findings to key stakeholders including academics through a variety of channels viz., media outreach, participation in academic and professional conferences, authored articles, workshops, etc.
  3. Industry Connect: The centre connects with the industry by collaborating with them in conducting workshops and seminars for the audience that is keen to track the progress of data science and AI in practice.
  4. Consulting Activities: The centre facilitates the businesses by connecting them with researchers who are working on cutting edge problems and can help solve challenging business problems.
  5. Data-driven Policy Enablement: The centre enables the policy makers and the industries with reports on the trends and the progression of the analytics tools, techniques, market, opportunities, human capital, and other resources, within the country and worldwide.

Projects at Centre of Excellence in Data Science
Grants Received

S. No Major / Minor PI/Co-ordinator Funding Agency Amount Ongoing /

Completed
1. Efficient Prediction and Monitoring Tool for Diabetes Patients using Data Mining and Smart Phone System Dr.S.Poonkuzhali AICTE -RPS 4.76 Lakhs


  

2015-2018 		Completed
2. Seminar on Data Analytics Techniques to predict Epidemics from public health records Dr.K.Devaki Indian Council of Medical Research 50000

2017-2018 		Completed
3. Seminar on Computational Intelligence Dr. S. Gnanavel CSIR - Seminar Grant 50000

2019-2020 		Completed

PhD Thesis:
10 Scholars pursuing PhD in Data Science Domain
Currently research scholars are working in the following areas in this COE:

  • Big Data Analytics for Efficient Prediction and Monitoring of Diabetes Patients using Internet of Things.
  • Predictive Analytics to enhance Urban Transportation using Machine Learning Techniques.
  • Predictive Analytics for Augmenting Indian Tourism using Deep Learning Techniques.
  • Data analytics methodology for IoT Device Security Model.
  • Artificial Intelligence Based Student Learning Methodology

Three Research scholars completed PhD

  1. Mr. A.Vijayarai completed his PhD Viva voce examination on the thesis titled “AN ENHANCED APPROACH FOR CONGESTION AVOIDANCE IN WIRELESS NETWORKS “- 31st Dec 2019.
  2. Mr. S. Vinod Kumar completed his PhD Thesis on the Topic ”PREDICTIVE ANALYTICS TO AUGMENT TEXTILE AND GARMENT INDUSTRY GROWTH” - 30th April 2021.
  3. Ms. B. U. AnuBarathu completed her PhD Thesis on the Topic “DESIGN OF REAL-TIME DATA ANALYTICS MODEL FOR HEALTHCARE SURVEILLANCE SYSTEM BASED ON MACHINE LEARNING AND DEEP LEARNING’ – 27th Sep 2021.

UG/PG Student Projects

S.NO PROJECT TITLE REGISTER NO. STUDENT NAME
1. Image recognition using opencv 170701002 Abarna v
2. Drowsiness detection system 170701051

170701081 		Divya cr

Iniya k
4. Movie recommendation system 180701001

180701004

180701008 		Aakash g

Abdul kader bh

Abishek s
5. Real-time covid-19 face mask detector 170701090

170701066 		Jothiswaran A

Hari Krishnan G
7. Currency recognition 170701246

170701256 		Udhai solai ar

Vasanth p
8. Emergency vehicle classification system 180701103

180701082 		Jayashree d

Hanthra b
9. Sentiment analysis on imdb movie reviews 180701145

180701159 		R monish kumar

Padmashree j
10. Image cartoonifyer system 170701061

170701063 		Gokul krishnan m

gokul raj b

Awards:

Dr.S.Poonkuzhali Received International Paper Presenter Award from Computer Society of India in the 53rd National Annual Convention at Bhubaneswar, Odisha during Jan 2020.

Training offered

  • Faculty upskilling programme on Data Science Specialization - Machine Learning
    Year No of FAculty Members
    2021 32
  • Students Upskilling in Machine Learning and Deep Learning
    S.No Year Batch No of Students
    1 2019 2017 and 2018   150
    2 2021 2029 50

Research Publications

JOURNAL PUBLICATION DETAILS 2018-2019

SNo Name of the Authors Title of the paper Name of the Journal Vol

(Issue) 		Year Indexed by Impact Factor
1 Vinod Kumar S, Poonkuzhali S Improvising the Sales of Garments by Forecasting Market Trends using Data Mining Technique International Journal of Pure and Applied Mathematics 119 (12) 2018 Scopus 0.127
2 Susmita Mishra, Dr Prakash M Study of Fuzzy Logic in Medical Data Analytics International Journal of Pure and Applied Mathematics 119 (12) 2018 Scopus 0.127
3 Swetha Sridharan, Venkatesh Prasad R, Srinarayan S A Detailed survey on Image watermarking International Journal of Pure and Applied Mathematics 119 (12) 2018 Scopus 0.127
4 Charulatha BS, Arun Rajaraman Deep Learning and Indian Heritage International Journal of Engineering & Technology 7 (3.12) 2018 Scopus 0.135
5 Geetha Ramani R, Revathy P, Lakshmi B Grouping of users based on user navigation behaviour using supervised association rule tree mining International Journal of Reasoning -based Intelligent Systems 10(3/4) 2018 Scopus No
6 R.GeethaRamani, Priya Vijay Improvised emotion and genre detection for songs through signal processing and genetic algorithm Concurrency Computation Practices Spl issue 2018 SCI 1.167
7 Duraimurugan N, Chokkalingam SP, Samir Brahim Belhaouari Analysis of deep learning models using convolution neural network techniques International Journal of Engineering and Advanced Technology 8 (3S) 2019 Scopus 1.0
8 Rajalakshmi J, Duraimurugan N Action recognition for controlling electronic appliances International Journal of Innovative Technology and Exploring Engineering 8 (3S) 2019 Scopus 0.102
9 Geethapriya S, Duraimurugan N, Chokkalingam SP Real Time object detection with YOLO International Journal of Innovative Technology and Exploring Engineering 8 (3S) 2019 Scopus 0.102
10 Gnanasambandan P and Poonkuzhali S Predicting the Trustworthiness of Internet Users using Deep Neural Network in Green IT World International Journal of Pure and Applied Mathematics 119(16) 2018 Scopus   
11 Poonkuzhali S,  Sindhuja M,  Mohana Elumalai & Vishweshh.R Android App to provide Context and Mood Based Music Recommendation System Using Sentiment Analysis International Journal of Pure and Applied Mathematics 118(16( 2018 Scopus
  
12 Gnanasambandan P and Poonkuzhali S Review and Framework for Mining Diverse Patterns on Web Log Files International Journal of Pure and Applied Mathematics 118(16) 2018 Scopus
  
13 S. Vinod Kumar and S.Poonkuzhali Improvising the Sales of Garments by Forecasting Market Trends using Data Mining Techniques International Journal of Pure and Applied Mathematics 118(6) 2018 Scopus
  

JOURNAL PUBLICATIONS DETAILS 2019-2020

Sno Author Name Title Journal Name Vol/

Issue 		Year Indexed

by 		Impact Factor
1 S.Poonkuzhali,

S.Vinodkumar 		Recommendations to improve dead stock management in garment industry using data analytics Mathematical Biosciences and Engineering 16(6) 2019 SCI 1.23
2 S.Poonkuzhali,

S.Vinodkumar 		Visualization of Import and Export Market of Indian Textile Business through Data Analytics Jour of Adv Research in Dynamical & Control Systems 11 (Spl 5) 2019 Scopus 0.308
3 Shiny K. V,

Sugitha N.,

Swaminathan B,

Bhuvaneswaran B. 		Enhancement in Segmentation of Brain Tumors on MRI Using Region Growing Algorithm Indian Journal of Public Health Research & Development 10 (7) 2019 Scopus 0.02
4 M.Sreekrishna,

N.Sankarram,

Dinesh Sha,

Dakshin,

Ashwini 		Recommendation Based on Prediction of Commuter Flow and Occupancy in Bus Transport International Journal of Recent Technology and Engineering (IJRTE) 8 (3) 2019 Scopus 1.0
5 M.Santhiya,

M.Shobana,

R.Jegatha 		A Supervised Classification Techniques to Optimize Error Evaluation and Space Complexity International Journal of Innovative Technology and Exploring Engineering 8(11S) 2019 Scopus 1.0
6 S.Geethapriya,

K.Devaki,

V.MuraliBhaskaran 		Multiple Object Detection in Images Using Template Matching International Journal of Innovative Technology and Exploring Engineering 9 (1) 2019 Scopus 1.0
7 S. Prithi,

S. Sumathi 		LD2FA-PSO: A novel Learning Dynamic Deterministic Finite Automata

with PSO algorithm for secured energy efficient routing in Wireless

Sensor Network 		Ad Hoc Networks 20 2020 Scopus, SCI 4.1
8 K. Dhinakaran,

N. Duraimurugan,

S. Sowmiya,

S. Sivasankari 		Detection of Driver Drowsiness Using Multi-task CNN Framework International Journal of Advanced Science and Technology 29(4) 2020 Scopus 0.4
9 N. Durai Murugan,

J. Monika Shri ,

E.Niranjan,

R.Poornima 		Prediction and Classification of Potholes in Road Surface using CNN Test Engineering and Management 83 2020 Scopus 0.43
10 N. Durai Murugan,

L. Madhan,

A. NaveenKumar,

S. Naveen 		Classification of Diseases in Apple Leaf using

Optimized Segmentation and CNN Techniques 		Test Engineering and Management 83 2020 Scopus 0.43
11 K.Vijay,

N. Natheeswari,

Y. Arockia Raj,

P. Sivaranjani 		Employee Tracking System using Blockchain Test Engineering  and Management 83 2020 Scopus 0.43
12 D.Sorna Shanthi,

B.Jaikrishna,

RM. Jagan,

M.Harish 		Recon- Automation using OSINT Test Engineering and Management 83 2020 Scopus 0.43
13 P. Revathy,

B. Tejashree,

S. Varshini,

S. Vibhaa 		Tweets Categorization and Comparison of Results using Machine Learning Models Test Engineering and Management 83 2020 Scopus 0.43
14 M. Mariprabhu,

R. Niranjana,

R. Praveen Kumar,

V. Jananee 		Stock Prediction by Ensembling LSTM Using AdaBoost Algorithm Jour of Adv Research in Dynamical & Control Systems 12 2020 Scopus 0.308

Book Chapters (2019 -2020)

S.No Name of the Faculty Title of the paper Name of the Journal Vol. No (Issue) Page no. Month Year
1 Bagavathy Priya S, Vinothini A, Business Aspects, Models, and Opportunities of IoT Edge Computing and Computational Intelligence Paradigms for the IoT Chapter 6 69-99 June 2019
2 Mr.P V. Raja raman, Dr. M. Prakash A Survey on Text Question Responsive Systems in English

and Indian Languages 		Advances in Intelligent Systems and Computing 1118 267-277 February 2020

JOURNAL PUBLICATION DETAILS (2020-2021)

S.No Name of the Authors Title of the Paper Name of the Journal Vol (Issue) Year Indexed

by 		Impact

Factor
1 P.Nancy,

S.Sridhar,

R.Akiladevi,

V.Sudha 		Exploration on covid-19 data in India using machine learning for

prediction of infected and death cases 		Advances in Mathematics: Scientific Journal 7(9) 2020 Scopus 1.494
2 P.Durgadevi,

M.Bhavani,

Shankar,

J. Rene Beulah 		Bank Endoresement Classification: A Novel Content Based Approach Using Pupil Tracking Technology Journal of Computational and Theoretical Nanoscience 17(8) 2020 Scopus 0.488
3 G. Charlyn

Pushpa Latha,

S. Sridhar,

S. Prithi,

T. Anitha 		Cardio-Vascular Disease Classification Using Stacked Segmentation Model and Convolutional Neural Networks Journal of cardiovascular disease research 11(3) 2020 Scopus 0.59
4 A. Vinothini,

S. Baghavathi

Priya 		Design of chronic kidney disease prediction model on imbalanced data using machine learning techniques Indian Journal of Computer Science and Engineering 11 (6) 2020 Scopus 0.19
5 B. U. Anubharathi,

S.Poonkuzhali 		Design and Implementation of Interactive Data Analytics Model for Predicting the Survivability of Breast Cancer Patients Journal of Environmental Protection and Ecology 21 (4) 2020 SCIE 0.577
6 S.Vinodkumar

S.Poonkuzhali 		Environmental Issues and Data Analytics Model for Predicting Buyer Sentiments on Women’s Clothing Journal of Environmental Protection and Ecology 21 (5) 2020 SCIE 0.577
7 Shaik Khaleel Ahamed,

B.V.Krishna,

D.Beulah David 		Brain Tumor Segmentation and Classification based on Deep Learning-Based Inception Networks Annals of the Romanian Society for Cell Biology 25(3) 2021 Scopus 0.1
8 S. Rajkumar,

PV Rajaraman,

Haree Shankar

Meganathan,

V Sapthagirivasan,

K. Tejeswinee 		Covid-Detect: A Deep Learning Approach For Classification Of Covid-19 Pneumonia From Lung Segmented Chest X-Rays World Scientific 33 2021 Scopus 1.439
9 Prithi Samuel

Subbaiyan, S.,

Balusamy, B. et al. 		A Technical Survey on Intelligent Optimization Grouping Algorithms for Finite State Automata in Deep Packet Inspection. Springer 28(3) 2021 SCIE 0.402
10 A. Mary Judith, S.Baghavathi Priya Multiset task related component analysis (M- TRCA) for SSVEP frequency recognition in BCI Journal of Ambient Intelligent Humanized Computing 12 (5) 2021 Scopus 0.402
11 Rajamanogaran, M.,

Subha, S., Baghavathi Priya, S., Jeevitha Sivasamy. 		Contactless attendance management system using artificial intelligence Journal of Physics- Conference Series 1714 (1) 2021 Scopus 0.41
12 Vinothini A,

S. Baghavathi Priya 		Selecting Dominant Features for the Prediction of Early-Stage Chronic Kidney Disease Intelligent Automation & Soft Computing 31(2) 2021 SCIE 1.647

BOOK CHAPTER DETAILS 2020-2021

S.No Name of the Faculty Title of the paper Name of the Journal Volume No (Issue) Page Number Year Indexed By
1 M.Divya, SankarKoushik Rahav, S.Udhayakumar Sensible Autonomous achine using Deep Learning and Convolutional Neural Networks Advances in Intelligent Systems and Computing 1163 603=612 2020 Scopus
2 D.J. Narendran, R. Abilash, B. S. Charulatha Exploration of classification algorithms for divorce pediction Advances in Intelligent Systems and Computing 1245 291-303 2020 Scopus
3 K.Vijay, R. Vijayakumar, P Sivaranjani Logeshwari R Scratch Detection In Cars Using Mask Region Convolution Neural Networks Advances in Parallel Computing 37 575-581 2020 Scopus
4 M. Bhavani, V. Pavithra, R. Monesh

  

Prediction of Cancer and Suggestion of Therapies 		Advances in Parallel Computing 37 538-542 2020 Scopus
5 M.Shobana . S.Poonkuzhali A Novel Approach for Detecting IoT Botnet Using Balanced Network Traffic Attributes Lecture Notes in Computer Science(LNCS) vol 12632 pp 534-548 2021 Scopus

Courses in curriculum:
B.E AI & ML
M.Tech Data Science

S.no. Course code Course name
1. AI19341 Principles of Artificial Intelligence
2. IT17601 Computational Intelligence
3. CS19P15 Data Mining
4 CS19643 Foundations of Machine Learning
5 CS19P18 Deep Learning Concepts
6 CS19P16 Data Analytics
7 CS19P20 Social, Text and Media Analytics
8 CS19P19 Cognitive Science
9 CB19P01 Cognitive Science and Analytics
10 CB19P48 Advanced Social, Text and Media Analytics

MoU’s Signed:

  1. DS Consultancy
  2. Bennett University

TEAM MEMBERS

  • Dr.Priya Vijay - Head
  • Dr.S.Poonkuzhali
  • Dr.S.Vinod Kumar
  • Mr.P.V.Rajaraman
  • Ms. J.Jeyalakshmi
  • Ms.L.K.Nandhini
  • Ms.D.Sorna shanthi
  • Dr.R.Anto Arockia Rosaline
  • Ms.K.R.Sowmia
  • Contact Us
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    Rajalakshmi Nagar Thandalam, Chennai - 602 105.
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