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Prof. U S N Raju

Associate Professor

Department of Computer Science and Engineering

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Information

Room No: CS114, Dept of CSE, Ground Floor +91-870-2462739 usnraju@nitw.ac.in https://wsdc.nitw.ac.in/facultynew/facultyprofile/id/16337 Bio Sketch

    Key Notes

    • Journal(s): 10
    • Educational Package(s): 1
    • PhD: Current - 5  Awarded - 4

    11

    PUBLICATIONS

    9

    DOCTORAL STUDENTS

    4

    PROJECTS

    Research Areas

    1. Computer Vision and Image Processing
    2. Quantum Image Processing
    3.Digital Olfaction(Research Interest)
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy Jawaharlal Nehru Technological University Kakinada 2010
    Master of Technology Jawaharlal Nehru Technological University, Hyderabad 2002
    Bachelor of Engineering Sir M Visveswaraya Institute of Technology 1998
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Python Programming(CS37001) 3-0-2 4 PG
    Programming and Data Structures(CS1101) 3-0-0 3 UG
    Machine Learning( CS2204) 3-0-2 4 UG
    Image Processing(CS37030) 3-0-0 3 PG
    Quantum Technologies I(CS2M02) 3-0-2 3 UG
    Quantum Computing(CS366) 3-0-0 3 UG
    Problem Solving and Computer Programming(CS181) 3-0-2 4 UG
    Python Programming(CS5355) 3-0-0 3 PG
    Fundamentals of Data Structures(CS395) 3-0-0 3 UG
    Computer Vision & Image Processing(CS5113) 3-0-0 3 UG, PG
    Image Processing(CS5364) 3-0-0 3 PG
    Problem Solving and Computer Programming(CS101) 3-0-0 3 UG
    RESEARCH IDs
    ORCID
    ORC ID
    Scopus
    SCOPUS ID
    PUBLICATIONS
    Journal(s)
    Distributed compression and decompression for big image data: JPEG and CCITT Group-3, By Barman, H., Kishor, N. R., Kothuri, S. S. K., Kukudala, M., & U.S.N.Raju, Springer, Multimedia Tools and Applications, vol.83(17), pp.50783-50823, 2024
    DSM-IDM-YOLO: Depth-wise separable module and inception depth-wise module based YOLO for pedestrian detection., By Panigrahi, Sweta, and U. S. N. Raju., World Scientific Connect, International Journal on Artificial Intelligence Tools, vol.32(04), pp.2350011, 2023
    Shuffled-Xception-DarkNet-53: A content-based image retrieval model based on deep learning algorithm., By Pathak, D., & U.S.N.Raju, ScienceDirect, Computers and Electrical Engineering, vol.107, pp.108647, 2023
    InceptionDepth-wiseYOLOv2: improved implementation of YOLO framework for pedestrian detection, By Panigrahi, Sweta, and U. S. N. Raju, Springer, International Journal of Multimedia Information Retrieval, vol.11.3, pp.409-430, 2022
    MS-ML-SNYOLOv3: A robust lightweight modification of SqueezeNet based YOLOv3 for pedestrian detection., By Panigrahi, Sweta, and U. S. N. Raju., Elsevier, Optik , vol.260 , pp.169061, 2022
    Content‐based image retrieval for super‐resolutioned images using feature fusion: Deep learning and hand crafted., By Pathak D. & U.S.N.Raju, Wiley, Concurrency and Computation: Practice and Experience, vol.34(22), pp.e6851, 2022
    Distributed compression and decompression for big image data: LZW and Huffman coding., By Netalkar, R. K., Barman, H., Subba, R., Preetam, K. V., & U.S.N.Raju, SPIE, Journal of Electronic Imaging, vol.30(5), pp.053015-053015, 2021
    Content-based image retrieval using feature-fusion of GroupNormalized-Inception-Darknet-53 features and handcraft features., By Pathak, D., & U.S.N.Raju, Elsevier, Optik , vol.246, pp.167754, 2021
    Scale-invariant histogram of oriented gradients: novel approach for pedestriandetection in multiresolution image dataset., By Panigrahi, Sweta, and U.S.N.Raju, TÜBİTAK, Turkish Journal of Electrical Engineering and Computer Sciences, vol.29(7), pp.3053-3073, 2021
    Pedestrian detection based on hand-crafted features and multi-layer feature fused-ResNet model., By Panigrahi, Sweta, and U. S. N. Raju., World Scientific Connect, International Journal on Artificial Intelligence Tools, vol.30(05), pp. 2150028, 2021
    Educational Package
    Compiler Design- Digital Lab Record By Dr.U.S.N.Raju and Dr.Ch. Sudhakar, 2020
    PROJECT / CONSULTANCY
    Short Term Training Programme: "Essentials of Computer Science:Basics to Quantum"--Open to All--Every Year (since 2025), will be conducted mostly around one week after JEE Advanced Exam; Details will be published two months before the conduction of the Programme.
    Role: Principal Developer
    Type: Consultancy
    Sponsor: Self Sponsor Training Program, R & C, NIT Warangal
    Project Cost (INR): 100000
    Date of Commencement: 18-08-2025  
    Duration: 189 Months
    Status: Ongoing
    SMR Human Solutions Private Limited
    Role: Director
    Type: Consultancy
    Sponsor: Startup Company
    Project Cost (INR): 100000
    Date of Commencement: 04-04-2025  
    Duration: 193 Months
    Status: Ongoing
    Quantum Computing & Applications
    Role: Co-Principal Investigator
    Type: GIAN Course
    Sponsor: Ministry of Education, Government of India
    Project Cost (INR): 700000
    Date of Commencement: 16-12-2024   Date of Completion: 27-12-2024
    Duration: 0 Months
    Status: Completed
    Compiler Design-Digital Lab Record (https://nitw.ac.in/tlc/cdlab/index.html)
    Role: Principal Investigator
    Type: Consultancy
    Sponsor: Pandit Madan Mohan Malaviya National Mission on .(PMMMNMTT)
    Project Cost (INR): 125000
    Date of Commencement: 01-09-2017   Date of Completion: 31-07-2020
    Duration: 34 Months
    Status: Completed
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    Ahmed Shahebaaz
    Area of Research: Image Processing using Deep Learning
    Harika Ala
    Area of Research: Image Super-Resolution
    Jyotsna Garikipati
    Area of Research: Medical Image Processing
    Shanthi Chilakala
    Area of Research: Image Noise Removal using Deep Learning
    Yerramsetti Srinivasarao
    Area of Research: Quantum Image Processing
    Previous PhD Students
    Debanjan Pathak (2022)
    Area of Research: CBIR using Deep Learning
    Suresh Kumar Kanaparthi (2021)
    Area of Research: Content Based Image Retrieval
    Sweta Panigrahi (2021)
    Area of Research: Pedestrian Detection
    Mahesh Kumar Morampudi (2020)
    Area of Research: Reliable and Privacy-preserving Iris Remote Authentication
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE / FACULTY DEVELOPMENT PROGRAMME
    ADDITIONAL RESPONSIBILITIES
    •  Chairperson, Animal Welfare Committee (Continuing from August, 2024)
    •  Member, Hostel Executive Committee (August, 2024 - June, 2025)
    •  Member, Quarters Allotting Committee (July, 2024 - June, 2025)
    •  Warden (July, 2024 - June, 2025)
    •  Co-coordinator: MCA Curriculum Development committee (AY 2024-25) (June, 2024 - July, 2024)
    •  Member, Campus Business Committee (February, 2024 - September, 2024)
    •  Member, Department Purchase Committee (September, 2023 - June, 2025)
    •  DAC, UG, Member (Continuing from July, 2023)
    •  Treasurer, Computer Science and Engineering Association (Continuing from September, 2022)
    •  Faculty Advisor (for M.Tech. I Years and II Years) (July, 2022 - June, 2025)
     Last updated on August 19, 2025