About
Professional Summary
Mr. Ekbal Rashid is currently working as Assistant Professor at Cambridge Institute of Technology, India. He is Ph.D. Student in Technology from Cambridge Institute of Technology, India. His main area of interest related to Machine Learning, Software Engineering, Data Mining, and AI. His area of expertise includes Case-Based Reasoning, Clustering, Classification, Software Fault Prediction, and Software Cost Estimation. He is Secretary of Interscience Research Network, Bhubaneswar. He also served as member of Second International conference on instrumentation and control system UAE, Dubai, Fourth International conference on Computer Science and Information Technology, Sydney, Australia, and First International Conference on Signal Processing (CSIP-2014), Dubai, UAE. He is also serving as reviewer for Advances in Vision Computing: An International Journal. He has published 13 research articles in refereed international journals, 7 articles in conferences/book chapters contributed as author/co-author.
Employment
Professional Appointments
Professor
KLH University
May 2026 — Present
|
Bowrampet, Hyderabad, India
Education
Academic Background
Publications (13)
Selected Scholarly Contributions
Improving software code quality by knowing the early prediction of error patterns.
Rashid, E.,
Int. J. Applied Eng. Res.,
| Journal Article
Ekbal Rashid
2016
R4 model for case-based reasoning and its application for software fault prediction.
Rashid, E.,
Int. J. Software Sci. Comput. Intell.,
| Journal Article
Ekbal Rashid
2016
Software fault prediction using unsupervised learning technique: A practical approach.
Rashid, E.,
Int. J. u- e-Serv. Sci. Technol.,
| Journal Article
Ekbal Rashid
2016
Improvisation of case-based reasoning and its application for software fault prediction.
Rashid, E.,
Int. J. Serv. Technol. Manage.,
| Journal Article
Ekbal Rashid
2015
Machine learning and software quality prediction: As an expert system.
Rashid, E.A., S.B. Patnaik and V.C. Bhattacherjee,
Int. J. Info. Eng. Electron. Bus.,
| Journal Article
Ekbal Rashid
2014
Search-Based information retrieval and fault prediction with distance functions.
Rashid, E., S. Patnaik and V. Bhattacherjee,
Int. J. Software Eng. Applic.,
| Journal Article
Ekbal Rashid
2014
Analogy-based software quality prediction with project feature weights.
Rashid, E., S. Patnaik and V. Bhattacharya,
Am. J. Software Eng. Applic.,
| Journal Article
Ekbal Rashid
2013
Understanding the state of quality of software on the basis of time gap, quality gap and difference with standard model.
Rashid, E., S. Patnaik and V. Bhattacherjee,
Int. J. Eng. Technol.,
| Journal Article
Ekbal Rashid
2013
Estimation and evaluation of change in software quality at a particular stage of software development.
Rashid, E., S. Patnayak and V. Bhattacherjee,
Indian J. Sci. Technol.,
| Journal Article
Ekbal Rashid
2013
The application of case-based reasoning to estimation of software development effort.
Rashid, E., V. Bhattacherjee and S. Patnaik,
Int. J. Comput. Sci. Inform.,
| Journal Article
Ekbal Rashid
2012
Strategies towards improving software code quality in computing.
Rashid, E., S. Patnaiyak and V. Bhattacharya,
Int. J. Eng. Res. Applic.,
| Journal Article
Ekbal Rashid
2012
Software quality estimation using machine learning: Case-based reasoning technique.
Rashid, E., S. Patnaik and V. Bhattacherjee,
Int. J. Comput. Applic.,
| Journal Article
Ekbal Rashid
2012
A survey in the area of machine learning and its application for software quality prediction.
Rashid, E., S. Patnayak and V. Bhattacherjee,
ACM SIGSOFT Software Eng. Notes,
| Journal Article
Ekbal Rashid
2012
