registrar@vssut.ac.in +91 8480441756

ବୀର ସୁରେନ୍ଦ୍ର ସାଏ ବୈଷୟିକ ବିଶ୍ୱବିଦ୍ୟାଳୟ

वीर सुरेंद्र साई प्रौद्योगिकी विश्वविद्यालय

Veer Surendra Sai University of Technology

About Department

About the School

  • The Department of Computer Science & Engineering was established in year of 1994.
  • The Department of Computer Science & Engineering is offering the following Courses .

Under Graduate Programme:

  1. B. Tech in Computer Science and Engineering: 120 Seats
  2. B. Tech in Computer Science and Engineering (Specialization AI & ML): 60 Seats

Post Graduate Programme:

  1. M. Tech. CSE (Specialization: CSE): 36 Seats
  2. M. Tech. CSE (Specialization: AI & ML): 18 Seats
  3. M. Tech. CSE (Specialization: Data Science): 18 Seats
  4. M. Tech. CSE ( Specialization: IOT): 18 Seats
  5. M. Tech. CSE (Specialization: Cyber Security): 18 Seats
  6. MCA( Master in Computer Application): 30 Seats

Ph. D Programme :

  • Doctor of Philosophy in Engineering (Ph.D in Engineering)

Department's Vision & Mission

Vision

To be a recognized leader by imparting quality technical education and thereby facilitating the extensive research environment, equipping students with latest skills in the field of technology supplemented with practical orientation to face challenges in the fast morphing modern computing industry and academic for the betterment of the society.

Mission

  • To produce best quality IT professional and researchers by providing state of the art training, hands on experience and healthy research environment.
  • To collaborate with industry and academic around the globe for achieving quality technical education and excellence in research through active participation of all the stakeholders.
  • To promote academic growth by establishing Center of Excellences and offering inter-disciplinary postgraduate and doctoral programs.
  • To establish and maintain an effective operational environment and deliver quality, cost effective and reliable technology services to the society as well as compliment the local and global economic goals.

Department Notice, Events & Seminars

Research and Development

  • Gorle, Venkata Lakshmi Narayana, and S. Panigrahi. "A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection." Multimedia Tools and Applications 83, no. 19 (2024): 56939-56964.

    Gorle, Venkata Lakshmi Narayana, and S. Panigrahi. "A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection." Multimedia Tools and Applications 83, no. 19 (2024): 56939-56964.

  • Biswaranjan Achrya, Sucheta Panda and Niranjan K Ray, “Multiprocessor Task Scheduling Optimization for Cyber-Physical System using an Improved Salp Swarm Optimization Algorithm”, SN Computer Science, Springer, Scopus, Impact Factor- 3.78, SN Computer Science (2024) 5:184 https://doi.org/10.1007/s42979-023-02517-2.

    Biswaranjan Achrya, Sucheta Panda and Niranjan K Ray, “Multiprocessor Task Scheduling Optimization for Cyber-Physical System using an Improved Salp Swarm Optimization Algorithm”, SN Computer Science, Springer, Scopus, Impact Factor- 3.78, SN Computer Science (2024) 5:184 https://doi.org/10.1007/s42979-023-02517-2.

  • Dakhya Prasad Pati and Sucheta Panda, “Performance Evaluation of Modified Gaussian Mixture Model Algorithm for Image Segmentation of Mammogram”,International Journal of Embedded Systems, InderScience Publishers, https://doi.org/10.1504/IJES.2023.139207 Impact Factor – 0.5, Scopus, pp. 312-322, June 2024.

    Dakhya Prasad Pati and Sucheta Panda, “Performance Evaluation of Modified Gaussian Mixture Model Algorithm for Image Segmentation of Mammogram”,International Journal of Embedded Systems, InderScience Publishers, https://doi.org/10.1504/IJES.2023.139207 Impact Factor – 0.5, Scopus, pp. 312-322, June 2024.

  • Soumya Ranjan Sahu and Sucheta Panda, “A Novel Depth-wise Separable Convolutional Model for Remote Sensing Scene Classification” Journal of the Indian Society of Remote Sensing(ISRS), https://doi.org/10.1007/s12524-024-01904-3, 2024,Impact Factor – 2.2,Springer, SCIE,Scopus.

    Soumya Ranjan Sahu and Sucheta Panda, “A Novel Depth-wise Separable Convolutional Model for Remote Sensing Scene Classification” Journal of the Indian Society of Remote Sensing(ISRS), https://doi.org/10.1007/s12524-024-01904-3, 2024,Impact Factor – 2.2,Springer, SCIE,Scopus.

  • Anchal Kumawat, Sucheta Panda, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya , Stella Manika , “A Hybrid Approach for Image Acquisition Methods based on Feature Based Image Registration”, Journal of Imaging(Section: Image and Video Processing), Received :6 June 2024,Revised:6 September 2024,Accepted : 11 September 2024, Published : 14 September 2024, 10(9), 228. https://doi.org/10.3390/ jimaging10090228, Impact Factor – 2.7,MDPI, Scopus.

    Anchal Kumawat, Sucheta Panda, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya , Stella Manika , “A Hybrid Approach for Image Acquisition Methods based on Feature Based Image Registration”, Journal of Imaging(Section: Image and Video Processing), Received :6 June 2024,Revised:6 September 2024,Accepted : 11 September 2024, Published : 14 September 2024, 10(9), 228. https://doi.org/10.3390/ jimaging10090228, Impact Factor – 2.7,MDPI, Scopus.
View All Publications

  • Research project from ICSSR, Ministry of Education, Govt. of India, Grant Amount - Rs. 5,00,000/- (initial allotment). (Status: Completed)

    Research project from ICSSR, Ministry of Education, Govt. of India, Grant Amount - Rs. 5,00,000/- (initial allotment). (Status: Completed)

  • Research project from DRDO, Ministry of Defence, Govt. of India, Grant Amount - Rs. 10,00,000/- (initial allotment). (Status: On-Going)

    Research project from DRDO, Ministry of Defence, Govt. of India, Grant Amount - Rs. 10,00,000/- (initial allotment). (Status: On-Going)

  • Serving as Education and Research Consultant [Honorary] for MIT Square, London, UK after signing of MOU with VSSUT Burla since July 2022.

    Serving as Education and Research Consultant [Honorary] for MIT Square, London, UK after signing of MOU with VSSUT Burla since July 2022.

  • SPONSORED PROJECT (01) - Title of Project: Strengthening Learning Skills of Students through Computational Thinking - Principal Investigator: Dr. Rakesh Mohanty - Sponsoring Agency : TEQIP –II, VSSUT Burla - Amount Sanctioned and Duration: 0.86 lakhs (March 2016 - August 2016).

    SPONSORED PROJECT (01) - Title of Project: Strengthening Learning Skills of Students through Computational Thinking - Principal Investigator: Dr. Rakesh Mohanty - Sponsoring Agency : TEQIP –II, VSSUT Burla - Amount Sanctioned and Duration: 0.86 lakhs (March 2016 - August 2016).
View All Projects

Departmental Activities View all

events
26th-Sep-2024

Tech Talk on Cloud Computing Innovations, link will be added soon

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events
23rd-Sep-2024

Guest Lecture on Future of Web Development

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events
19th-Aug-2024

Panel Discussion on Startups & Entrepreneurship

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Awards and achievements View all

24, Jan
2025

Utkarsh Odisha 2025 at Veer Surendra Sai University of Technology (VSSUT) BURLA

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24, Jan
2025

National Conference on Chemical & Bio-Science on 25-26 March, 2023 organized by Chemical Engineering Department

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Programme Educational Objectives (PEOs)

The educational objectives of the Department are to prepare its graduates:

  • PEO-1: To provide graduating students with core competencies by strengthening their mathematical, scientific and basic engineering fundamentals.
  • PEO-2: To train graduates in diversified and applied areas with analysis, design and synthesis of data to create novel products and solutions to meet current industrial and societal needs.
  • PEO-3: To inculcate high professionalism among the students by providing technical and soft skills with ethical standards.
  • PEO-4: To promote collaborative learning and spirit of team work through multidisciplinary projects and diverse professional activities.
  • PEO-5: To encourage students for higher studies, research activities and entrepreneurial skills by imparting interactive quality teaching and organizing symposiums, conferences, seminars, workshops and technical discussions.

Programme Specific Outcomes (PSO)

  • PSO 1: Students should be able to develop and implement the solution of real life computing problems using contemporary technologies.
  • PSO 2: Students should be able to apply ethical principles and commit to professional and social responsibilities.

Programme Outcomes (PO)

POs describe what students are expected to know or be able to do by the time of graduation from the program. Program Outcomes are established as per the process describe in 2.1.3. The Program Outcomes are:

  • An ability to apply fundamental knowledge of computing, mathematics, science and engineering appropriate to the discipline.
  • An ability to analyze a problem, identify and formulate the computing requirements appropriate to its solution.
  • An ability to design, implement, and evaluate a computer-based system, process, component, or program for various applications like public health, environmental safety, human resource management, economical sustainability, cross-cultural and societal needs.
  • An ability to formulate models, design, and conduct experiments, as well as to analyze and interpret data.
  • An ability to use current techniques, skills, and modern tools necessary for computing practice.
  • An ability to analyze the local and global impact of computing on individuals, organization, and society.
  • Knowledge of emerging technologies and current trends.
  • An understanding of professional, ethical, legal, security and social issues and responsibility.
  • An ability to function effectively individually and on teams, including diverse and multidisciplinary, to accomplish a common goal.
  • Development of emphatic written and verbal communication skills.
  • Continuous professional development through long term learning.
  • An understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects.

Distinguished Alumni View all

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