Birla Institute of Technology, Mesra
Dr. Pravas Ranjan Bal
Assistant Professor, Computer Science and Engg
Ph.D 		Contact Address
Permanent Address
Local Address Qr No B-19, Birla Institute of Technology, Mesra, Off Campus Deoghar, Post:Jasidih,Dist:Deoghar PIN 814142
Phone (Office)
Phone Residence
Email Id pravasbal@bitmesra.ac.in
Joined Institute on : 1-Jun-2023
  Work Experience
 
Teaching : 4 Years

Research : 8 Years
  Professional Background

PhD in CSE (IIT Roorkee)
  Research Areas
 

Machine Learning, Deep Learning, Data Science, Software Fault Prediction, and Android Malware Detection, Software Engineering , Deep Fake Detection
  Award and Honours
 
  1. Awarded as Odisha State Talent Scholarship in  Standard VI by State Government of Odisha.
  2. Secured 20th Rank (GEN) in OJEE (MCA) 2010.
  3. Got Odisha State Merit Scholarship from 2010-2013
  4. Gate Qualified in 2014. 
  5. MHRD Fellowship for M.Tech., NIT Rourkela.
  6. MEITY Fellowship for Ph.D, IIT Roorkee.
  7. Microsoft Research Grant for Visiting ICSOFT International Conference, Porto, Portugal, 2018.
  Publications
 

Journals

  1. Bal, P. R., and Kumar, S., "WR-ELM: Weighted Regularization Extreme Learning Machine for Imbalance Learning in Software Fault Prediction", IEEE Transactions on Reliability, vol. 69, no. 4, pp. 1355-1375, 2020. (Impact Factor: 5)  
  2. Bal, P. R., and Kumar, S., "RELMP-MM: An Approach to Cross Project Fault Prediction using Improved Regularized Extreme Learning Machine and Identical Matched Metrics", Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 10, pp. 13523-13542, 2022. (Impact Factor: 3.662)  
  3. Bal, P. R., and Kumar, S., " A Data Transfer and Relevant Metrics Matching based Approach for Heterogeneous Defect Prediction", IEEE Transactions on Software Engineering, vol. 49, no. 3, pp. 1232-1245, 2022. (Impact Factor: 6.5)
  4. Bal, P. R., and Kumar, S., "An Approach for Cross Project Defect Prediction Using Identical Metrics Matching and  Deep Neural Network", IEEE Transactions on Reliability, 2024. (Impact Factor: 5)
  5. Bal, P. R., and Kumar, S., "Cross Project Defect Prediction using Dropout Regularized Deep Learning and Unique Matched Metrics ", ACM Transactions on Management Information Systems , 2024. (Impact Factor: 2. 5)

 

Conferences

  1. Bal, P. R., Jena, N., and Mohapatra, D. P., "Software reliability prediction based on ensemble models", Proceeding of International Conference on Intelligent Communication, Control and Devices, Springer, Singapore, 2017, pp. 895-902.
  2. Bal, P. R., and Mohapatra, D. P., "Software Reliability Prediction Based on Radial Basis Function Neural Network", Proceedings of International Conference on Computational Intelligence, Springer, Singapore, 2017, pp. 101-110.
  3. Bal, P. R., and Kumar, S., "Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction", Proceedings of 13th International Conference on Software Technologies, Porto, 2018, Vol. 1, pp. 69-78. (Core B and Era B Rank).
  4. Bal, P. R., and Kumar, S., "Cross-Project Defect Prediction using Extreme Learning Machine: An Ensemble-based Study", Proceedings of 13th International Conference on Software Technologies, Porto, 2018, Vol. 1, pp. 320-327. (Core B and Era B Rank).
  5. Shukla S., Kumar S., and Bal, P. R., "Analysing Effect of Ensemble Models on Multi-Layer Perceptron Network for Software Effort Estimation ", Proceeding of 2019 IEEE World Congress on Services, Milan, 2019, pp.384-385. (Core B and Era B Rank).

 
  Current Sponsored Projects
 
    1. Smart Improvement of the productivity for Crop by using Deep Learning

          Status: Completed (October 2021 to November 2022)
          Sponsor: Microsoft (AI for Earth Grants)
          Role: Co. Principal Investigator
          Cost: 15000 $

    1. Smart Automation of Detection and Diagnosis of Soil Quality with Plant Diseases Using Deep Learning

             Status: Completed (October 2021 to November 2022)
             Sponsor: Microsoft (AI for Earth Grants)
             Role: Co. Principal Investigator
             Cost: 15000 $

    1. AI for Smart Monitoring of Security Challenges in State-of-the-Art Microfluidic Biochips

            Status: Ongoing (May 2023 to Ongoing)
            Sponsor: SERB, Govt. of India
            Role: Co. Principal Investigator
            Cost: 2768080
  Text and Reference Books
 

 

  1. Kumar A, Sahoo S. S., Kumar S, Bal P. R., Rout J. K., Chaurasiya V. K., "Secure Certificateless Maximum Achievable Throughput in Successive IoT Relay Networks," In Information Technology Security: Modern Trends and Challenges 2024 Apr 2 (pp. 189-208). Singapore: Springer Nature Singapore.  
  Intellectual Property Rights (IPR)
 

 

  1. Priti Ashok Jain, Shantanu Siuli, Nayantara Mitra, Shramana Dutta, Kaustav Sarkar, Ajay Kumar, Sidharth Raja Halder, Chandrima Ganguly, Pravas Ranjan Bal, " AN ADAPTIVE LANGUAGE LEARNING SYSTEM USING NLP AND MACHINE LEARNING FOR PERSONALIZED EDUCATION". Application No: 202421072248, Date of filing of Application: 24/09/2024, Publication Date: 01/11/2024. 
  Member, Editorial Board