Jeya Mala D.

Jeya Mala D . has received her doctorate degree in the area of “artificial intelligence in software engineering” from Anna University, Chennai, Tamil Nadu, India in the year 2009. She is currently working as ASSOCIATE PROFESSOR SENIOR in the School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology, Chennai, Tamil Nadu, India. She has more than 20 years of teaching and research and 4 years of industrial experience. She has published a patent and has published more than 60 papers in reputed, refereed; SCI and Scopus indexed journals and conferences and book chapters. She has published a MOOC course for Udemy that has more than 2200 learners’ enrollment. Also, a text book for McGraw Hill publishers and two edited books for IGI Global USA, one book is currently in the editing stage for Cambridge Scholars Publishing, UK, and more than two course books for universities were published. She is a member of IEEE, ACM, Indian Science Congress Association (DST, Govt. of India), Computer Society of India, i-Soft, an invited memner of Machine Intelligence Research Labs etc. She is listed in the Who’s Who list of SEBASE repository of University College of London, UK for her research work in the area of Search Based Software Engineering. She is the Recipient of “Best Techno Faculty Award 2016” from ICTACT, A Govt Initiative; “Best Oral Presentation Award” from GCGSD 2020, “Certificate of Excellence” and “Top Performer Award” from IIT Bombay etc. She has formed the reviewer board of several international journals and conferences. She is a member of editorial boards and technical programme committees of several reputed journals and conferences. Her research interests include Artificial Intelligence, Software Engineering, Software Test Optimization, Cyber Security and Block Chain

Publications

An Intelligent Virtual Medical Assistant for Healthcare Prediction
An Intelligent Virtual Medical Assistant for Healthcare Prediction
Jeya Mala D., Pradeep Reynold A.. © 2023. 17 pages.
Developing an intelligent virtual medical assistant device would be a better solution for people who can't spend their time and/or who have movement and transportation issues...
Analysis of B2B Blockchain Apps Using Hyperledgers and Their Implications in This Digital Era
Analysis of B2B Blockchain Apps Using Hyperledgers and Their Implications in This Digital Era
Jeya Mala D., Priya N., Pradeep Reynold A.. © 2023. 15 pages.
In this digital era, at most 80-90% of business transactions are digitized using different mechanisms. In the case of businesses and financial institutions, such digitization...
IntelliMedAssist: Integration of AI and ML for Secured Healthcare Assistance in MIoT Applications
IntelliMedAssist: Integration of AI and ML for Secured Healthcare Assistance in MIoT Applications
Jeya Mala D., Padmavathy T. V., Pradeep Reynold A.. © 2023. 10 pages.
The research work focuses on the highly important and sensitive research area of detection and prevention of vulnerabilities associated with data processing in MIoT devices when...
Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing: Impact Analysis of Intelligent Agents in Test Automation
Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing: Impact Analysis of Intelligent Agents in Test Automation
Jeya Mala Dharmalingam. © 2022. 31 pages.
Software quality is imperative for industrial strength software. This quality will be often determined by a few components present in the software which decides the entire...
Application of Machine Learning in Data Analytics on COVID-19 First Wave in India: COVID-19 First Wave Analytics on the Cloud
Application of Machine Learning in Data Analytics on COVID-19 First Wave in India: COVID-19 First Wave Analytics on the Cloud
Jeya Mala Dharmalingam, Pradeep Reynold A.. © 2022. 16 pages.
As there are several data sets available, this chapter gives insight on which regions of India have been heavily impacted during the first wave of COVID-19 and the classification...
Edge Analytics With Machine Learning Technique for Medical IoT Applications
Edge Analytics With Machine Learning Technique for Medical IoT Applications
Jeya Mala D., Pradeep Reynold A.. © 2022. 12 pages.
Edge analytics are tools and algorithms that are deployed in the internal storage of IoT devices or IoT gateways that collect, process, and analyze the data locally rather than...
E-Assessment of Cognitive Skills in Outcome-Based Education for Object-Oriented Programming: A Graduate-Level Experimental Report
E-Assessment of Cognitive Skills in Outcome-Based Education for Object-Oriented Programming: A Graduate-Level Experimental Report
Jeya Mala Dharmalingam. © 2019. 22 pages.
This chapter describes how the Edmodo and Moodle—the open source learning management systems (LMS)—can be used for e-assessment to evaluate the cognitive skills of students in...
IoT Functional Testing Using UML Use Case Diagrams: IoT in Testing
IoT Functional Testing Using UML Use Case Diagrams: IoT in Testing
D.Jeya Mala. © 2019. 21 pages.
In the IoT applications development process, the consumers expectations are always high. Thus, the development environment should be focusing on virtual provisioning...
Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing: Impact Analysis of Intelligent Agents in Test Automation
Impact Analysis of Intelligent Agents in Automatic Fault-Prone Components Prediction and Testing: Impact Analysis of Intelligent Agents in Test Automation
Jeya Mala Dharmalingam. © 2018. 30 pages.
Software quality is imperative for industrial strength software. This quality will be often determined by a few components present in the software which decides the entire...