Back close

Dr. S. Sountharrajan

Chairperson, Department of Computer Science and Engineering, School of Computing, Chennai | Associate Professor, Department of Computer Science and Engineering, School of Computing, Chennai

Qualification: Ph.D
s_sountharrajan@ch.amrita.edu chairpersoncse@ch.amrita.edu
Research Interest: Machine Learning, Cloud Computing, Big Data Analytics, Artificial Intelligence, Data Science

Bio

Dr. S. Sountharrajan currently serves as the Chairperson and  Associate Professor at the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Chennai.

He has 16 years of experience in teaching. He was sanctioned an amount of Rs. 20,00,000 from the funding agencies like DST, AICTE, and ICMR. He is currently guiding 3 Ph.D. research scholars as Joint Supervisor, one Full-Time Scholar (Completed), and is a Doctoral Committee Member for 8 Ph.D. research scholars. He has published 36 international journals, including 31 Scopus indexed and 5 SCI. He has been certified by reputed companies in India like IBM and Dell EMC Corporation. He has delivered 28 guest lectures at reputed universities and institutions in India. He has worked on machine learning, Big data, and cloud computing and shows the importance of cloud-deployed applications.

Professional Appointments:

16 years and 2 Months of teaching experience in reputed engineering colleges/ University.

Publications

Journal Article

Year : 2022

Hybrid optimized convolutional neural network for efficient classification of ECG signals in healthcare monitoring

Cite this Research Publication : Karthiga, M., Santhi, V. and Sountharrajan, S., 2022. Hybrid optimized convolutional neural network for efficient classification of ECG signals in healthcare monitoring. Biomedical Signal Processing and Control, 76, p.103731.

Publisher : Biomedical Signal Processing and Control

Year : 2021

Top ‘N’Variant Random Forest Model for High Utility Itemsets Recommendation

Cite this Research Publication : Pazhaniraja, N., Sountharrajan, S., Suganya, E. and Karthiga, M., 2021. Top ‘N’Variant Random Forest Model for High Utility Itemsets Recommendation. EAI Endorsed Transactions on Energy Web, 8(35), pp.e7-e7.

Publisher : EAI Endorsed Transactions on Energy Web

Year : 2021

High utility itemset mining using dolphin echolocation optimization

Cite this Research Publication : Pazhaniraja, N. and Sountharrajan, S., 2021. High utility itemset mining using dolphin echolocation optimization. Journal of Ambient Intelligence and Humanized Computing, 12(8), pp.8413-8426.

Publisher : Journal of Ambient Intelligence and Humanized Computing

Year : 2021

Sentence Semantic Similarity Model Using Convolutional Neural Networks

Cite this Research Publication :
Karthiga, M., Sountharrajan, S., Suganya, E. and Sankarananth, S., 2021. Sentence Semantic Similarity Model Using Convolutional Neural Networks. EAI Endorsed Transactions on Energy Web, 8(35), pp.e8-e8.

Publisher : EAI Endorsed Transactions on Energy Web

Year : 2021

Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques

Cite this Research Publication : Nivaashini, M., Thangaraj, P., Sountharrajan, S., Suganya, E. and Soundariya, R., 2021. Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques. Ad Hoc & Sensor Wireless Networks, 49(3-4), pp.175-206.

Publisher : Ad Hoc & Sensor Wireless Networks

Year : 2021

A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities

Cite this Research Publication : Gowtham, R., Sanjay, S.P., Shandilya, S.K. and Sountharrajan, S., 2021. A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 16(4), pp.1-11.

Publisher : IJWLTT

Year : 2020

HDFS-based parallel and scalable pattern mining using clouds for incremental data.

Cite this Research Publication : Sountharrajan, S., Suganya, E., Aravindhraj, N., Sankarananth, S. and Rajan, C., 2020. HDFS-based parallel and scalable pattern mining using clouds for incremental data. International Journal of Computer Aided Engineering and Technology, 13(1-2), pp.28-45.

Publisher : International Journal of Computer Aided Engineering and Technology

Year : 2020

Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure

Cite this Research Publication : Suganya, E., Aravindhraj, N., Sountharrajan, S., Kumar, G.S. and Rajan, C., 2020. Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure. International Journal of Advanced Intelligence Paradigms, 16(3-4), pp.404-413.

Publisher : International Journal of Advanced Intelligence Paradigms

Year : 2020

High utility itemset mining: a Boolean operators-based modified grey wolf optimization algorithm

Cite this Research Publication : Pazhaniraja, N., Sountharrajan, S. and Sathis Kumar, B., 2020. High utility itemset mining: a Boolean operators-based modified grey wolf optimization algorithm. Soft Computing, 24(21), pp.16691-16704.

Publisher : Soft Computing

Year : 2020

Lasso and Ridge Regression for Optimized Resource Allocation In Cloud Computing

Cite this Research Publication : Shingne, H., Sountharrajan, S., Karthiga, M. and Rajan, C., 2020. Lasso and Ridge Regression for Optimized Resource Allocation In Cloud Computing. Journal of Advanced Research in Dynamical and Control Systems, 12, pp.1740-1747.

Publisher : Journal of Advanced Research in Dynamical and Control Systems

Year : 2019

Improving Big Data Projects Requirement Understandability by Using Big Data Use Case Diagram

Cite this Research Publication : Sathis Kumar, B. and Sountharrajan, S., 2019. Improving Big Data Projects Requirement Understandability by Using Big Data Use Case Diagram. Journal of Computational and Theoretical Nanoscience, 16(8), pp.3617-3622.

Publisher : Journal of Computational and Theoretical Nanoscience

Year : 2019

Mobile Cancer Prophecy System to Assist Patients: Big Data Analysis and Design

Cite this Research Publication : Suganya, E., Sountharrajan, S., Shandilya, S.K. and Karthiga, M., 2019. Mobile cancer prophecy system to assist patients: Big data analysis and design. Journal of Computational and Theoretical Nanoscience, 16(8), pp.3623-3628.

Publisher : Journal of Computational and Theoretical Nanoscience

Year : 2019

Big data analytics framework for real-time genome analysis: A comprehensive approach

Cite this Research Publication : Shandilya, Shishir K & Sehar, Sountharrajan & Shandilya, Smita & Suganya, E.. (2019). Big Data Analytics Framework for Real-Time Genome Analysis: A Comprehensive Approach. Journal of Computational and Theoretical Nanoscience. 16. 3419-3427. 10.1166/jctn.2019.8302.

Publisher : Journal of Computational and Theoretical Nanoscience

Year : 2018

Synthesis, Characterization, and Evaluation of Cancer Prevention Activity of Novel Modified Heterocyclic Compounds

Cite this Research Publication : Vijayakumar, K., Sountharrajan, S. and Suganya, E., 2018. Synthesis, Characterization, and Evaluation of Cancer Prevention Activity of Novel Modified Heterocyclic Compounds. Asian Pacific Journal of Cancer Prevention: APJCP, 19(1), p.247.

Publisher : APJCP

Year : 2018

Automatic glioblastoma multiforme detection using hybrid-SVM with improved particle swarm optimisation

Cite this Research Publication : Sountharrajan, S., Suganya, E., Karthiga, M. and Rajan, C., 2018. Automatic glioblastoma multiforme detection using hybrid-SVM with improved particle swarm optimisation. International Journal of Biomedical Engineering and Technology, 26(3-4), pp.353-364.

Publisher : International Journal of Biomedical Engineering and Technology

Year : 2017

Metaheuristic optimization technique for feature selection to detect the alzheimer disease from MRI

Cite this Research Publication : Rajan, C. and Sountharrajan, S., 2017. Metaheuristic optimization technique for feature selection to detect the alzheimer disease from MRI. J. Adv. Res. Dyn. Control Syst, 9(6), pp.1368-1381.

Publisher : J. Adv. Res. Dyn. Control Syst

Year : 2017

Automatic classification on bio medical prognosis of invasive breast cancer

Cite this Research Publication : Sountharrajan, S., Karthiga, M., Suganya, E. and Rajan, C., 2017. Automatic classification on bio medical prognosis of invasive breast cancer. Asian Pacific Journal of Cancer Prevention: APJCP, 18(9), p.2541.

Publisher : APJCP

Year : 2016

Optimized feature selection technique for automatic classification of MRI images for Alzheimer’s disease.

Cite this Research Publication : Sountharrajan, S. and Thangaraj, P., 2016. Optimized feature selection technique for automatic classification of MRI images for Alzheimer's disease. Journal of Medical Imaging and Health Informatics, 6(8), pp.2057-2062.

Publisher : Journal of Medical Imaging and Health Informatic

Year : 2016

PARTICLE SWARM OPTIMIZED FEATURE SELECTION FOR ALZHEIMER CLASSIFICATION

Cite this Research Publication : Sountharrajan, S., Thangaraj, P. and Suganya, E., 2016. PARTICLE SWARM OPTIMIZED FEATURE SELECTION FOR ALZHEIMER CLASSIFICATION. IIOAB JOURNAL, 7(9), pp.787-794.

Publisher : IIOAB JOURNAL

Year : 2015

Open Platform Cloud Infrastructure Model with Enhanced Virtualization

Cite this Research Publication : Sountharrajan Sehar, Abilash Rajasekaran, Elangovan Manickasundaram, Open Platform Cloud Infrastructure Model with Enhanced Virtualization, International Journal of Scientific & Engineering Research, Volume 6, Issue3, 2015.

Publisher : International Journal of Scientific & Engineering Research

Conference Paper

Year : 2022

Behavioral Segmentation with Product Estimation using K-Means Clustering and Seasonal ARIMA

Cite this Research Publication :
Saraf, E., Pradhan, S., Joshi, S. and Sountharrajan, S., 2022, April. Behavioral Segmentation with Product Estimation using K-Means Clustering and Seasonal ARIMA. In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1641-1648). IEEE.

Publisher : ICOEI

Year : 2022

Similarity Analytics for Semantic Text Using Natural Language Processing

Cite this Research Publication :
Karthiga, M., Sountharrajan, S., Bazila Banu, A., Sankarananth, S., Suganya, E. and Sathish Kumar, B., 2022. Similarity Analytics for Semantic Text Using Natural Language Processing. In 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (pp. 239-248). Springer, Cham.

Publisher : Springer

Year : 2022

Agile and Touchless Automation in the software industry

Cite this Research Publication :
Sriraman G, Sountharrajan S, Suganya E. Agile and Touchless Automation in the software industry. In2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) 2022 Mar 25 (Vol. 1, pp. 1492-1498). IEEE.

Publisher : IEEE

Year : 2022

Effective Stock Price Prediction using Time Series Forecasting

Cite this Research Publication :
Prakhar, K., Sountharrajan, S., Suganya, E., Karthiga, M. and Kumar, S., 2022, April. Effective Stock Price Prediction using Time Series Forecasting. In 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (pp. 1636-1640). IEEE.

Publisher : IEEE

Year : 2021

A Deep Learning Approach to classify the Honeybee Species and health Identification

Cite this Research Publication :
Karthiga, M., Sountharrajan, S., Nandhini, S.S., Suganya, E. and Sankarananth, S., 2021, March. A Deep Learning Approach to classify the Honeybee Species and health Identification. In 2021 Seventh International conference on Bio Signals, Images, and Instrumentation (ICBSII) (pp. 1-7). IEEE.

Publisher : IEEE

Year : 2021

Real-Time Face Swapping System using OpenCV

Cite this Research Publication :
Datta, A., Yadav, O.K., Singh, Y., Sountharrajan, S., Karthiga, M. and Suganya, E., 2021, September. Real-Time Face Swapping System using OpenCV. In 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1081-1086). IEEE.

Publisher : ICIRCA

Year : 2021

Prostate Cancer Prognosis-a comparative approach using Machine Learning Technique

Cite this Research Publication :
Bellad, S.C., Mahapatra, A., Ghule, S.D., Shetty, S.S., Sountharrajan, S., Karthiga, M. and Suganya, E., 2021, May. Prostate Cancer Prognosis-a comparative approach using Machine Learning Techniques. In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1722-1728). IEEE.

Publisher : IEEE

Year : 2020

Virtual DataStack for Application Domains: Concepts, Challenges and Generation Techniques

Cite this Research Publication : Palanisamy, A.M., Nataraj, R.V., Sangeetha, S. and Sountharrajan, S., 2020, December. Virtual DataStack for Application Domains: Concepts, Challenges and Generation Techniques. In 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) (pp. 1314-1318). IEEE.

Publisher : IEEE

Year : 2020

Machine Learning Based Diagnosis of Alzheimer’s Disease

Cite this Research Publication :
Karthiga, M., Sountharrajan, S., Nandhini, S.S. and Sathis Kumar, B., 2020, May. Machine Learning Based Diagnosis of Alzheimer’s Disease. In International Conference on Image Processing and Capsule Networks (pp. 607-619). Springer, Cham.

Publisher : Springer

Year : 2020

Investigation of lung cancer detection using 3d convolutional deep neural network

Cite this Research Publication :
Arukonda, S. and Sountharrajan, S., 2020, December. Investigation of lung cancer detection using 3d convolutional deep neural network. In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN) (pp. 763-768). IEEE.

Publisher : ICACCCN

Year : 2013

A novel algorithm for distributed data mining in HDFS.

Cite this Research Publication :
Natarajan, S. and Sehar, S., 2013, December. A novel algorithm for distributed data mining in HDFS. In 2013 Fifth International Conference on Advanced Computing (ICoAC) (pp. 93-99). IEEE.

Publisher : IEEE

Year : 2013

Distributed FP-ARMH algorithm in Hadoop map reduce framework

Cite this Research Publication :
Natarajan, S. and Sehar, S., 2013, December. Distributed FP-ARMH algorithm in Hadoop map reduce framework. In 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE) (pp. 264-270). IEEE.

Publisher : IEEE

Book Chapter

Year : 2021

Analysis of false data detection rate in generative adversarial networks using recurrent neural network

Cite this Research Publication :
Kumar, A.S., Jule, L.T., Ramaswamy, K., Sountharrajan, S., Yuuvaraj, N. and Gandomi, A.H., 2021. Analysis of false data detection rate in generative adversarial networks using recurrent neural network. In Generative Adversarial Networks for Image-to-Image Translation (pp. 289-312). Academic Press.

Publisher : Academic Press

Year : 2021

Challenges and opportunities of big data integration in patient-centric healthcare analytics using mobile networks

Cite this Research Publication :
Karthiga, M., Sankarananth, S., Sountharrajan, S., Kumar, B.S. and Nandhini, S.S., 2021. Challenges and opportunities of big data integration in patient-centric healthcare analytics using mobile networks. Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics, pp.85-108.

Publisher : Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Year : 2021

Deep convolutional neural network–based image classification for COVID-19 diagnosis.

Cite this Research Publication : Tharsanee, R.M., Soundariya, R.S., Kumar, A.S., Karthiga, M. and Sountharrajan, S., 2021. Deep convolutional neural network–based image classification for COVID-19 diagnosis. In Data Science for COVID-19 (pp. 117-145). Academic Press.

Publisher : Academic Press.

Year : 2020

On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms

Cite this Research Publication : Sountharrajan, S., Suganya, E., Karthiga, M., Nandhini, S.S., Vishnupriya, B. and Sathiskumar, B., 2020. On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms. In Business Intelligence for Enterprise Internet of Things (pp. 151-168). Springer, Cham.

Publisher : Springer

Year : 2020

IoT in the Field of the Future Digital Oil Fields and Smart Wells

Cite this Research Publication :
Latif, G., Alghazo, J.M., Maheswar, R., Sampathkumar, A. and Sountharrajan, S., 2020. IoT in the Field of the Future Digital Oil Fields and Smart Wells. In Internet of Things in Smart Technologies for Sustainable Urban Development (pp. 1-17). Springer, Cham.

Publisher : Springer

Year : 2020

Dynamic recognition of phishing URLs using deep learning techniques

Cite this Research Publication :
Sountharrajan, S., Nivashini, M., Shandilya, S.K., Suganya, E., Bazila Banu, A. and Karthiga, M., 2020. Dynamic recognition of phishing URLs using deep learning techniques. In Advances in cyber security analytics and decision systems (pp. 27-56). Springer, Cham.

Publisher : Springer

Year : 2019

IoT in agriculture investigation on plant diseases and nutrient level using image analysis techniques

Cite this Research Publication :
Suganya, E., Sountharrajan, S., Shandilya, S.K. and Karthiga, M., 2019. IoT in agriculture investigation on plant diseases and nutrient level using image analysis techniques. In Internet of Things in Biomedical Engineering (pp. 117-130). Academic Press.

Publisher : Academic Press.

Education

  • 2017 : PhD, Information and Communication Engineering
    Anna University, Chennai
  • 2010 : ME Computer Science and Engineering
    Government College of Technology, Coimbatore
  • 2003 : BE Information Technology
    Sona College of Technology, Salem
Experience
Organization Designation Years
VIT University, Bhopal Madhya Pradesh, India May 2018 to April 2022 Associate Professor 4
Bannari Amman Institute of Technology, Sathyamangalam. May 2010 to April 2018 Asst. Prof (Sl. G) 8
Dr.Mahalingam College of Engg. & Tech., Pollachi. June 2005 to May 2008 Lecturer 3
Sri Krishna College of Engg and Technology, Coimbatore. June 2004 to May 2005 Lecturer 1
Certification Course
Certification on Information Storage management, EMC Corporation EMC ISM Associate
Certification on Cloud Infrastructure and Services, EMC Corporation EMC Cloud Associate
Certification on Data Science Big Data Analytics – DELL EMC Corporation DELL EMC, Data Science Associate
Associate Analytics NASSCOM Certification
Consultancy Work
Title Establishing the Private Cloud Computing Lab Setup
Project Cost Rs.50,000
Year and Status 2016 and Completed
Collaborators The Cloud Computing Private Lab provides Virtual Machine (VM) based emulation to bridge both Consensus & BIT labs through DODO. 1.Bannari Amman Institute Technology, Sathyamangalam. 2. Consensus Technologies Pvt Ltd, Coimbatore.
Workshop/Invited Talks

Workshops/Seminar Organized:

S.No Type of programme organized (Workshop/ FDP/ Seminar ) Title of the programme Duration Date
1 MHRD–ISTE Funded Workshop Introduction to Design of Algorithms 5 24th – 30th May 2015
2 Workshop Data Warehousing With Informatica ETL Tool 2 19th-20th September 2015
3 Workshop OpenStack Deployment 2 9th– 10th October 2015
4 Two Week FDP on Data Science and Big Data Analytics Data Science and Big Data Analytics 14 Nov 6-19 , 2017
5 Two day ICMR Sponsored workshop on “Cyber security and Medical devices for Healthcare” Cyber security and Medical devices for Healthcare 2 Dec 22-23rd , 2017
6 Five Day National level training program. Cyber Security: Malware Threats & Ethical Hacking” [CSMTEH] 5 Sep 12-16th, 2018
7 IIT Bombay FDP101.X Foundation Program on ICT Tools 3 Weeks Aug-Nov 2018
8 IIT Bombay FDP 201.X – Pedagogy for Online and Blended Teaching-Learning Process  4 Weeks Aug – Nov 2018
9 Three Day National Workshop on Artificial Intelligence Using Python Artificial Intelligence Using Python 3 September 20-22 , 2019
10 Two Day International “AI Conclave21” AI Conclave’21 – International and National Speakers 3 Feb 23-24th, 2021

Guest Lectures Delivered

S.No Topic(s) Institution Date(s)
1 Pre-face Cloud Computing Cloud Virtualization Hadoop Installation Google App Engine Nandha Engineering College, Perundurai. Erode. 16.08.2013
2 Cloud Computing and Software as a Service KSR College of Engineering, Thiruchengode, Erode. 29.05.2013
3 Enterprise Application Integration: Case Study: Web Services and Enterprise Application Integration CSI Chapter – Coimbatore. 06.07.2013
4 Google App Scripting – Developing UI in App Script Bannari Amman Institute of Technology, Sathyamangalam. 01.02.14 & 26.02.14
5 Hadoop –Installation and Configuration –Single and Multi node Creation Bannari Amman Institute of Technology, Sathyamangalam. 01-03-2014
6 Recent Trends in Cloud Computing Sona College of Technology, Salem. 28.04.2014
7 Cloud Computing The Institution of Engineers, India. 11.08.2014
8 Open Nebula Installation KSR College of Engineering, Thiruchengode, Erode. 08.12.2015
9 Cloud Computing Mother Teresa Women’s University, Kodikanal University. 09.08.2015
10 Hadoop and Cloud Computing Vivekandha Engineering College for Woman, Tiruchengode. 22.02.2016
11 Essential of Learning Trusty Skills in vision IT Dhanalakshmi Srinivasan Engineering College, Trichy. 05.04,2016
12 Big Data Analytics Hindusthan College of Technology, Coimbatore. 23.05.16 & 24.05.16
13 Hadoop and Open Nebula Technology M P Nachimuthu M Jaganathan Engineering College, Erode. 09.09.16
14 Cloud Computing – An Practical Approach Sri Guru Engineering College, Coimbatore. 06,01,2017
15 C ++ – Object Oriented Programming Excel Engineering College, Erode. 28.05.17
16 Cloud Computing Excel Engineering College, Erode. 06.07.17
17 Research Methodology Mother Teresa Women’s University, Kodikanal University. 30.10.17
18 Hadoop – Installation Single / Multinode Bannari Amman Institute of Technology, Sathyamangalam 06.09.17
19 Data Science and Big Data Analytics AICTE Sponsored Workshop @ Bannari Amman Institute of Technology, Sathyamangalam 08.11.17
20 Industrial IoT and Cloud Computing Vivekandha Engineering College for Woman, Tiruchengode. 08.04.2018
21 Art of Tinkering and use of Life Skills to serve the needs of the society Kenyandra Vidyala Hi Sec School, Diburgarh, Assam 31.10.2018
22 Machine Learning in Hadoop – AICTE FDP – MARGADARSI SCHEMES Bannari Amman Institute of Technology, Sathyamangalam 05.01.2019
23 AICTE STTP – Introduction to Numpy Francis Xavier Engineering College, Tirunelveli 13.11.2019
24 AICTE STTP – Introduction Hadoop and Big Data Infrastructure Bannari Amman Institute of Technology, Sathyamangalam 23.11.2019
25 ICCR Sponsored – Issues and Challenges in Artificial Intelligence KPR Institute of Engineering and Technology, Coimbatore 26.07.2021
26 Challenges and Opportunities in Artificial Intelligence Sona College of Technology, Salem 27.08.2021
27 Artificial Intelligence in Virtual Reality SNS College of Technology, Coimbatore. 22.09.2021
Courses Taught
  • Database Management Systems
  • Python Programming
  • Machine Learning
  • Fundamentals of Artificial Intelligence
  • Object Oriented Programming in C++
  • Cloud Computing
  • Free Open Source Software
  • Data Structures and Algorithms
  • Foundations of Data Science
  • Problem Solving and Programming
  • Cloud Security

Research Scholars:

S.No Name of the Scholar Research University Year of Registration and Status
1 N.Pazhani Raja [18PHD10006] Full-Time VIT University, Bhopal [Supervisor] Completed. March 2022
Admissions Apply Now