Birla Institute of Technology, Mesra
Dr. Subrajeet Mohapatra
Associate Professor, Computer Science and Engg
Ph.D.(NIT Rourkela), M.Tech. (NIT Rourkela), B.E. (Sambalpur University)
Contact Address
Permanent Address Adaspur, Cuttack, Odisha
Local Address DII-19,BIT,Mesra Ranchi-835215
Phone (Office) 8809202074
Phone Residence 8809202074
Email Id subrajeets@gmail.com
Joined Institute on : 30-Jun-2012

  Work Experience
 
Teaching : 10 Years

Research : 8 Years

  Research Areas
 
  • Image Processing
  • Pattern Recognition
  • Soft Computing
  • Cognitive Science
  • Cloud Computing

Ph.D. Students & Their Area:

 

  1.  Deepika Patil, Image Analysis (Awarded)
  2. Aman Singh, Cognitive Psychology (On-going since January 2018 )
  3.  Kalyan Samanta, Coal Image Analysis (On-going since July 2018 )
  4. Abhinash Jenasamanta, Quantitative Behavioural Psychology (On-going since January 2020)

 

  Publications
 

Journals

  1. Aman Singh, Subrajeet Mohapatra and  Madhumita Bhattacharya,Criminal behavioral data analysis for recidivation estimation in convicted offenders, Data in Brief, 43, 2022 [ESCI]
  2. Abhinash Jenasamanta and Subrajeet Mohapatra, An automated system for the assessment and grading of adolescent delinquency using a machine learning-based soft voting framework, Humanities and Social Sciences Communications, 385, 2022. [SCI]
  3. Aman  Singh and Subrajeet Mohapatra, "Development of Risk Assessment Framework for First Time Offenders Using Ensemble Learning," in IEEE Access, vol. 9, pp. 135024-135033, 2021, doi: 10.1109/ACCESS.2021.3116205 [SCI: JCR 2020 Impact Factor 3.36].
  4. Deepika Bhanudas Patil, Akriti Nigam and Subrajeet Mohapatra, Automation of Geometric Feature Computation through Image Processing Approach for Single-Layer Laser Deposition Process, International Journal of Computer Integrated Manufacturing, Taylor & Francis, September, 33(9), 895-910, Septemeber, 2020 [SCI: JCR 2018 Impact Factor 2.09]
  5. Alpana, Satish Chand, Subrajeet Mohapatra and Vivek Mishra, Automated Char Classification using Image Analysis and Artificial Intelligence, International Journal of Oil, Gas and Coal Technology, Inder Science, 2020 [SCI : In Press]
  6. Alpana, Subrajeet Mohapatra, Machine learning approach for automated coal characterization using scanned electron microscopic images, Computers in Industry, Elseiver, 75: 35–45, 2016. [SCI: JCR 2018 Impact Factor 2.85]
  7. Subrajeet Mohapatra, Dipti Patra, Sanghamitra Satpathy, Rabindra Kumar Jena and Sudha Sethy.  Automated Morphometric Classification of Acute Lymphoblastic
    Leukemia in Blood Microscopic Images using an Ensemble of Classifiers. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 4:1, 3-16, 2016.  [ESCI, SCOPUS].   
  8. Subrajeet Mohapatra, Dipti Patra, and Sanghamitra Satpathi. An ensemble classifier system for early diagnosis of acute lymphoblastic leukemia in blood microscopic
    images. Neural Computing and Applications. Springer, 24(7–8): 1887–1904, 2014.[SCI: JCR 2018 Impact Factor 4.213]
  9. Subrajeet Mohapatra, Dipti Patra, and Kundan Kumar. Fast leukocyte image segmentation using shadowed sets. International Journal of Computational Biology
    and Drug Design. Inderscience, 5(1):49-65, 2012. [SCOPUS]
  10. Subrajeet Mohapatra, Dipti Patra, and Sanghamitra Satpathy. Unsupervised blood microscopic image segmentation and leukemia detection using color based clustering.
    International Journal of Computer Information Systems and Industrial Management Applications. MIR Labs, 4:477-485, 2012. [SCOPUS]
  11. Subrajeet Mohapatra, Dipti Patra, and Kundan Kumar. Unsupervised leukocyte image segmentation using rough fuzzy clustering. ISRN Artificial Intelligence, 2012.
  12. Subrajeet Mohapatra, Pankaj Kumar Sa, and Banshidhar Majhi. Adaptive threshold selection for impulse noise detection in images using coefficient of variance. International Journal of Neural Computing and Applications. Springer, 21(2):281-288, 2011. [SCI: JCR 2018 Impact Factor 4.213]

Conferences

  1. A. Jenasamanta and S. Mohapatra, "Ensemble learning approach for delinquency risk assessment in adolescents," 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), 2021, pp. 961-966, doi: 10.1109/SPIN52536.2021.9565959.
  2. Abhinash Jenasamanta and Subrajeet Mohapatra, Classification of Juvenile Delinquency Using Bayesian Network Learning: A Comparative Analysis, 2nd International Conference on Sustainability and Equity, ICSE-2021, KIIT Deemed to be University , Odisha.  
  3. Alpana and Subrajeet Mohapatra, A Textural Characterization of Coal SEM Images Using Functional Link Artificial Neural Network, International Conference on Computer Vision and Image Processing, CVIP-2016, IIT Roorke, India, February, 2016.
  4. Alpana and Subrajeet Mohapatra, Automated Coal Characterization using Computational Intelligence and Image Analysis Techniques, International Conference on Communication, Control and Intelligent Systems, CCIS-2015, Mathura, 2015.
  5. Subrajeet Mohapatra, Dipti Patra, Sunil Kumar, and Sanghamitra Satpathy. Kernel Induced Rough C–Means Clustering for Lymphocyte Image Segmentation. In
    International Conference on Intelligent Human Computer Interaction, IHCI-2012, Kharagpur, India, December 2012.
  6. Subrajeet Mohapatra, Sunil Kumar and Dipti Patra. RBFN based Leukocyte Image Segmentation for Automated Leukemia Detection. In International Conference on
    Image Information Processing, ICSIVP-2012, Patna, India, January 2012.
  7. Subrajeet Mohapatra, Dipti Patra and Kundan Kumar. Blood microscopic image segmentation using rough sets. In International Conference on Image Information
    Processing, ICIIP-2011, Shimla, India, Novemeber 2011.
  8. Subrajeet Mohapatra, Sushanta Shekhar Samanta, Dipti Patra and Sanghamitra Satpathi. Fuzzy Based Blood Image Segmentation for Automated Leukemia Detection.
    In International Conference on Devices and Communications, ICDeCom-2011, Ranchi, India, February 2011.
  9. Subrajeet Mohapatra, and Dipti Patra. Automated cell nucleus segmentation and acute leukemia detection in blood microscopic images. In International Conference on Systems in Medicine and Biology, ICSMB-2010, Kharagpur, India, December 2010.
  10. Subrajeet Mohapatra, Ratnakar Dash, Pankaj Kumar Sa, and Banshidhar Majhi. Improved enhancement scheme using a RBFN detector for impulse noise. In IEEE International Conference on Emerging Trends in Engineering and Technology, ICETET-2008, Nagpur, India, July 2008.
  11. Subrajeet Mohapatra, Pankaj Kumar Sa, Ratnakar Dash, and Banshidhar Majhi. RBFN based Impulsive Noise Removal Image Enhancement Technique. In IEEE Conference on Computational Intelligence, Control and Computer Vision in Robotics and Automation, CICCVRA-2008, Rourkela, India, March 2008.
  12. Subrajeet Mohapatra, Pankaj Kumar Sa, and Banshidhar Majhi. Impulsive Noise Removal Image Enhancement Technique. In 6th WSEAS International Conference
    on Circuits, Systems, Electronics, Control and Signal Processing, CSECS-2007, Cairo, Egypt, December 2007.
  13. Subrajeet Mohapatra, Pankaj Kumar Sa, and Banshidhar Majhi. An Improved Image Enhancement Technique Combining Sharpening and Impulse Noise Reduction.
    In International Conference on Soft Computing and Intelligent Systems, ICSCIS-2007, Jabalpur, India, December 2007.
  14. Subrajeet Mohapatra, Pankaj Kumar Sa, and Banshidhar Majhi. CV based adaptive threshold selection for impulsive noise removal from images. In 2nd International
    conference on Advanced Computing and Communication Technologies, ICACCT-2007, Panipat, India, November 2007.
  15. Subrajeet Mohapatra, Pankaj Kumar Sa, and Banshidhar Majhi. A FLANN based image enhancement technique. In National conference on Current trends in Communication, Devices and Computing, NCCTC-2007, Sikkim, India, October 2007.
  Member of Professional Bodies
 

IEEE

 

  Current Sponsored Projects
 

Funded Research Projects (Ongoing):

  1. Title: Machine Learning-based characterization and grading of minerals and establishment of image-based mineral repository for the state of Jharkhand"

 

          Role:              Principal Investigator (PI).

          Co-PI:            Dr. Shamama Anwar, Assistant Professor, Dept. of CSE, BIT Mesra

          Funded By:   Science and Engineering Research Board, DST

          Duration:      2022-2025

          Budget:        Rs. 20.39 Lakhs 

  1. Title:  Development of Machine Learning Algorithms for the Early Diagnosis of Delinquent Behaviour of Juveniles

          Role:              Principal Investigator (PI).

          Co-PI:            Dr. Vandana Bhattacharya, Professor, Dept. of CSE, BIT Mesra

          Funded By:   CSRI, Department of Science & Technology, New Delhi

          Duration:      2019-2022

          Budget:        Rs. 22.54 Lakhs 

Funded Research Projects (Applied):

  1. Title:  Establishment of Block Chain Enabled Intelligent Digital Platform Towards Sustainable Coal Supply Chain Management for the State of Jharkhand

          Role:        Co- Principal Investigator 

          PI:            Dr. Shamama Anwar, Assistant Professor, Dept. of CSE, BIT Mesra

          Funding agency:   SERB

          Year Applied :      2022

          Budget:        Rs. 35.77 Lakhs 

 

  Member, Editorial Board
 

Reviewer (Journal)

  1. Computers in Biology and Medicine, Elseiver

  2. Computer Methods and Programs in Biomedicine, Elseiver

  3. Informatics in Medicine

  4. Biomedical Signal processing and Control, Springer