Dr Pravas Ranjan Bal
Assistant Professor (Grade-I)
Birla Institute of Technology, Ranchi
(2023 - 2024)
Odisha
Expertise:
Computer Science Artificial Intelligence
10
Publications
3
Projects
119
Scopus Citations
116
CrossRef
3 Years 4 Months Total Experience
Scopus
119
Citations
5
h-index
CrossRef
116
Citations
5
h-index
Google Scholar
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Professional Recognition
Microsoft Research Grant for Visiting ICSOFT International Conference, Porto, Portugal
2018
Microsoft Research Grant
State Talent Scholarship Examination
2001
Govt. of Odisha
Odisha State Merit Scholarship
2011
Govt. of Odisha
Odisha State Merit Scholarship
2012
Govt. of Odisha
MHRD Fellowship for M. Tech, NIT Rourkela
2014
MHRD, Govt. of India
DEITY Fellowship for Ph.D, IIT Roorkee
2016
MEITY, Govt. of India
Community & Membership
BIT Mesra, off-campus Deoghar
Lab In charge of Lab 226 & Innovation LabNo Data Found
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Personal Details
Doctor of Philosophy
2021
Jawaharlal Nehru University
Master of Technology
2016
N/A
Master of Computer Applications
2013
N/A
Bachelor of Science
2010
Mula Education Society's Arts, Commerce and Science College, Sonai, Tal. Nevasa, Dist. Ahmednagar 414105
Assistant Professor (Grade-I)
Jun 2023 – May 2024
Birla Institute of Technology, Ranchi
Assistant Professor (Grade-I)
Feb 2021 – May 2023
Siksha 'O' Anusandhan
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
AI for Smart Monitoring of Security Challenges in State-of-the-Art Microfluidic Biochips
OtherSmart Improvement of the productivity for Crop by using Deep Learning
CompletedSmart Automation of Detection and Diagnosis of Soil Quality with Plant Diseases Using Deep Learning
CompletedNo Data Found
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Scholarly Publications
Software reliability prediction based on ensemble models
Cross Project Defect Prediction using Dropout Regularized Deep Learning and Unique Matched Metrics
An Approach for Cross Project Defect Prediction Using Identical Metrics Matching and Deep Neural Network
RELMP-MM: an approach to cross project fault prediction using improved regularized extreme learning machine and identical matched metrics
A Data Transfer and Relevant Metrics Matching Based Approach for Heterogeneous Defect Prediction
WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction
Analyzing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation
Cross project software defect prediction using extreme learning machine: An ensemble based study
Showing 1 to 8 of 10 publications