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Department of Electronics and Communication Engineering

DEPARTMENTS

Engineering

Science

CENTRE

Dr. Chitranjan Kumar Rai

Assistant Professor

Computer Vision, Image Processing, Virtual Instrumentation, Deep Learning, Machine Learning.

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ORCID
Web of Science

+91-7280976271/ 9661558337
PROFESSIONAL BACKGROUND
From(Date of Joining)ToDesignationOrganisationNature of Association
01/04/2025Till DateAssistant ProfessorNERIST, Arunachal PradeshRegular
01/03/202428/02/2025Project Research ScientistBirla Institute of Technology, Mesra, RanchiContractual
05/07/201304/07/2015LecturerBansal Institute of Science and Technology, BhopalRegular
HONORS AND AWARDS
AwardInstituteYear
MHRD, GOI, sponsored scholarship for the Ph.D. program2018-22
MHRD, GOI, sponsored scholarship for M.Tech program2015-17
Awarded the Best Paper Award at the ICRTEECI-2021 International Conference2021
Received  “Aruindoram Barhua Award” from Govt. of Assam2005
EDUCATIONAL QUALIFICATION
DegreeSubjectUniversityYear
PhDImage Processing and Vision NetworkDr. B R Ambedkar National Institute of Technology, Jalandhar2024
MTechInstrumentation EngineeringNational Institute of Technology, Agartala2017
BEElectronics and Instrumentation EngineeringRGPV, Bhopal2012
ADMINISTRATIVE BACKGROUND
FromToDesignationOrganisation
MEMBERSHIPS IN PROFESSIONAL BODIES

TEACHING ENGAGEMENTS
TitleCourse CodeModuleSemester
M. TECH. THESIS SUPERVISED
Title of ProjectNames of Students
PH.DS SUPERVISING
TopicScholar NameStatus of PhDRegistration Year
PARTICIPATION IN SHORT TERM COURSES
Course NameSponsored ByDate
One-Week Online STC Course on “Machine Learning Using Python” organized by Centre for Training and Placement, Dr B R Ambedkar National Institute of Technology JalandharTEQIP-III Sponsored 11 September 2020 to 15 September 2020
One-Week Online STC Course on “Recent Advances in Data Science, Image and Natural Language Processing (RADSINP-2020)” organized by Department of Computer Science and Engineering & Department of Information Technology, Dr B R Ambedkar National Institute of Technology JalandharTEQIP-III Sponsored21 September 2020 to 25 September 2020
Participated in two weeks (40 hours) online FDP on “Deep Learning & Applications (Parallel Architectures)” jointly organized by the E&ICT Academies at IIT Guwahati, IIT Kanpur, IIT Roorkee, MNIT Jaipur, NIT Patna, NIT Warangal and PDPM IIITDM Jabalpur during under the “Scheme of financial assistance for setting up of E&ICT Academies” Ministry of Electronics and Information Technology (MeitY), Government of India23 August 2021 to 3 September 2021
A Course on “Agriculture Cyber Physical System” organized by Agriculture & Water Technology Development Hub (AWaDH)Indian Institute of Technology Ropar13 January 2022 to 28 April 2022
A Course on “AI & CPS for Agriculture Automation” held from organized by Agriculture & Water Technology Development Hub (AWaDH)Indian Institute of Technology Ropar16 May 2022 to 15 July 2022
Completed Online Certificate Course on “Foundation of Data Science”ONE FOURTH LABS
Completed Online Certificate Course on “PadhAI - Deep Learning”ONE FOURTH LABS
COURSES OR CONFERENCES ORGANISED
Conference NameSponsored ByDate
BOOKS AUTHORED
PUBLICATIONS
  1. Rai CK, Pahuja R (2024) An ensemble transfer learning-based deep convolution neural network for the detection and classification of diseased cotton leaves and plants. Multimed Tools Appl. https://doi.org/10.1007/s11042-024-18963-w
  2. Rai CK, Pahuja R (2023) Classification of Diseased Cotton Leaves and Plants Using Improved Deep Convolutional Neural Network. Multimedia Tools and Applications 82:25307–25325. https://doi.org/10.1007/s11042-023-14933-w
  3. Rai CK, Pahuja R (2023) Northern maize leaf blight disease detection and segmentation using deep convolution neural networks. Multimedia Tools and Applications :. https://doi.org/10.1007/s11042-023-16398-3
  4. Rai CK, Pahuja R (2023) Detection and Segmentation of Rice Diseases Using Deep Convolutional Neural Networks. SN Computer Science 4:499. https://doi.org/10.1007/s42979-023-02014-6
  5. Rai CK, Pahuja R (2022) Digital Image Processing-based Virtual Instruments For The Detection And Classification Of Eaten Leaves. Journal Of East China University Of Science And Technology 65:877–885. https://doi.org/10.5281/ZENODO.7081544
  6. Kumar Rai C, Pahuja R, Kumar Chabbra J (2021) Implementation of Virtual Instrumentation System for Estimation of Eaten Leaf Area using Digital Image Processing. In: 2021 Sixth International Conference on Image Information Processing (ICIIP).IEEE, pp 472–476. (IEEE)
  7. Rai CK, Pahuja R. (2021) Virtual Instrumentation for Detection and Characterization of Eaten Leaf Area using DigitalImage Analysis. Journal of Physics: Conference Series. (ICRTEECI) (Best Paper Award)
  8. Patnaik KS, Snigdh I, Mishra R, et al (2024) Deep Learning Approaches for Hypoxic-Ischemic Encephalopathy Detection in Neonates Using Ultrasound Imaging. In: 6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2024). pp 1–13
  9. Kumar Rai C, Pahuja R (2023) Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies. Applications of Optimization and Machine Learning in Image Processing and IoT 102–122. https://doi.org/10.1201/9781003364856-8