HOD’s Message

Welcome to the department of Computer Science and Engineering at C.V. Raman Global University. As the head of the department, I am delighted to have this opportunity to introduce you to our vibrant community of students, faculty, and staff. At our department, we offer a wide range of undergraduate programs based on the cutting-edge technologies such as Artificial Intelligence, Machine Learning, Cyber Security, Data Science along with Masters and Ph.D. programs. These programs designed to prepare the students for success in the fast-paced and dynamic field of computer science. Our curriculum is constantly updated in line with the industry to reflect the latest developments in the field, and we are committed to providing our students with the fundamental and up-to date skillsets and knowledge they need to excel in their chosen careers.

Our faculty members are renowned experts in their respective fields, and they provide our students with the highest quality of education. They are committed to help students achieve their full potential, and are always available to provide guidance and support.

In addition to our academic programs, we offer a range of extracurricular activities and events that provide students with opportunities to connect with each other, network with industry professionals, and explore the latest trends and developments in computer science. We run different student clubs independently run by the students where they can showcase and share their skills with the peers enhancing their technical abilities and leadership qualities.

The department provides excellent infrastructures and has established high end labs on Artificial Intelligence and high-performance computing, Cyber security, Augmented Reality & Virtual Reality and Internet of things to accept the support the dynamic technology trends and to accelerate the research.We take pride in the achievements of our students, and we are committed to supporting them as they pursue their goals and aspirations. Whether you are a prospective student, a current student, or a visitor to our website, we invite you to explore all that our department has to offer.

About Department

The department of Computer Science & Engineering was established in the year of 1997 with a vision to produce able, skilled, competent, thoughtful, and creative Computer scientists. The prime objective behind was to enable them meet all sorts of challenges in the present corporate world. With a confident and steady footing in technical education, it has shown a tremendous growth in the last two decades to establish itself as the strongest department of the University. Consequently in 2019, the department was successfully accredited to Tier-1 category by NBA. Till date, it has produced more than 3500 computer science engineering graduates who are spread across the globe holding the department’s banner proudly and flying high with dignity and confidence.
With a blended group of experienced, young, and energetic team of competent, qualified, and committed faculty members and support staffs under a dynamic leadership, the department has shown excellence in both teaching & research, and intent to continue the same in future. The diversity of expertise can be seen among the faculty members starting from Wireless sensor network, Machine learning/Deep Learning, Cloud/Fog computing, Cyber Security, Natural Language Processing and many more. As a result, the doctoral research scholars and faculties are continuously publishing quality research articles in top notch indexed journals.
One of the core strengths of the department is the industry aligned curriculum which mainly focus on future technologies like Machine learning, Data science, Big data, Cyber security, Cloud Computing etc. Apart from normal academics, the department is offering skill development courses by industry persons in various emerging future skills and encourage students to get global certification that will help the students to be par not only nationally but also globally providing them an edge. The department is associated with prestigious industry partners such as NASSCOM, IBM,MARCRAFT, AWS and Google who are associated in various ways ranging from curriculum design to academy partner. As a result, the department is continued to bag the highest placements records consistently over the years together. No wonder that, some students are even able to place themselves in FAANG companies as freshers.



  • Rojalina Priyadarshini, HilolJoardar,S.K. Bisoy, S.K. and T. Badapanda, 2023. Crystal structural prediction of perovskite materials using machine learning: A comparative study. Solid State Communications, 361, p.115062. Impact factor-1.804 DOI:https://doi.org/10.1016/j.ssc.2022.115062,
  • RawaaAlatrash, Rojalina Priyadarshini, HadiEzaldeen, and Akram Alhinnawi. “Augmented language model with deep learning adaptation on sentiment analysis for E-learning recommendation.” Cognitive Systems Research 75 (2022): 53-69. Impact Factor: 4.541 DOI: https://doi.org/10.1016/j.cogsys.2022.07.002
  • Lenka, Sudhansu R., Sukant Kishoro Bisoy, Rojalina Priyadarshini, and Mangal Sain. “Empirical analysis of ensemble learning for imbalanced credit scoring datasets: A systematic review.” Wireless Communications and Mobile Computing 2022 (2022). Impact Factor- 2.146 DOI: https://doi.org/10.1155/2022/6584352
  • Rojalina Priyadarshini and Rabindra Kumar Barik. “A deep learning based intelligent framework to mitigate DDoS attack in fog environment.” Journal of King Saud University-Computer and Information Sciences 34, no. 3 (2022): 825-831. Impact Factor- 9.006 DOI: https://doi.org/10.1016/j.jksuci.2019.04.010
  • MhamadBakro , Rakesh Ranjan Kumar, Amerah A. Alabrah , Zubair Ashraf , Sukant K. Bisoy , Nikhat Parveen , SouheilKhawatmi and Ahmed Abdelsalam, “Efficient Intrusion Detection System in the Cloud Using Fusion Feature Selection Approaches and an Ensemble Classifier”, Electronics, 2023, 12(11), IF- 2.690,https://doi.org/10.3390/electronics12112427
  • Rojalina Priyadarshini, HillolJoardar, SukantKishoroBisoy, TanmayaBadapanda, “Crystal structural prediction of perovskite materials using machine learning: A comparative study”, Solid State Communications, 2023, IF=1.934, https://doi.org/10.1016/j.ssc.2022.115062
  • Seli Mohapatra, Prafulla Kumar Behera, Prabodh Kumar Sahoo, SukantKishoroBisoy, Mangal Sain, “Mobility Induced Multi-hop LEACH Protocol in Heterogeneous Mobile Network”, IEEE Access, 2022, Vol. 10, pp. 132895-132907, IF=3.36,doi: 10.1109/ACCESS.2022.3228576
  • Pradyumna Kumar Mohapatra, Saroja Kumar Rout, SukantKishoroBisoy, Sandeep Kautish, “ Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization”, MDPI Symmetry, 2022, IF=2.940, https://doi.org/10.3390/sym14102078
  • HadiEzaldeen, SukantKishoroBisoy, Rachita Misra, “ Semantics aware intelligent framework for content-based e-learning recommendation”, Natural Language Processing Journal (Elsevier), 2023, https://doi.org/10.1016/j.nlp.2023.100008
  • Arabinda Pradhan, Sukant Kumar Bisoy, “A novel load balancing technique for cloud computing platform based on PSO”, Journal of King Saud University – Computer and Information Sciences (Elsevier), July, 2022, IF=12.3
  • Arabinda Pradhan, SukantKishoroBisoy ,SandeepKautish, “ Intelligent Decision-Making of Load Balancing using Deep Reinforcement Learning and Parallel PSO in Cloud Environment”, IEEE Access, July, 2022, IF=3.36, doi. 10.1109/ACCESS.2022.3192628
  • Prabin Kumar Panigrahi, Sukant Kishoro Bisoy, “ Localization strategies for autonomous mobile robots: A review”, Journal of King Saud University-Computer and Information Sciences (Elsevier), Sept 2022, IF=13.47, https://doi.org/10.1016/j.jksuci.2021.02.015
  • Arabinda Panda, Sukant Kishoro Bisoy, “ A survey on PSO based meta-heuristic scheduling mechanism in cloud computing environment”, Journal of King Saud University-Computer and Information Sciences (Elsevier), Sept 2022, IF=13.47. https://doi.org/10.1016/j.jksuci.2021.01.003
  • Suneel Kumar Rath, Madhusmita Sahu, Shom Prasad Das, Sukant Kishoro Bisoy and Mangal Sain. A Comparative Analysis of SVM and ELM Classification on Software Reliability Prediction Model. Electronics, Volume 11, Issue 17:2707, pp: 1-13, August 2022. IF=2.69 https://doi.org/10.3390/electronics11172707
  • Pragya Jha, Madhusmita Sahu, TakanoriIsobe. A UML Activity Flow Graph-Based Regression Testing Approach. Applied Sciences, 13 (9), 5379, pp: 1-21, April 2023. https://doi.org/ 10.3390/app13095379.
  • Nanda, Surendra & Mohanty, Suneeta&Pattnaik, P.K.. (2023). An optimized 128-bit cellular automata-based hash function for authentication of data at rest and in transit. International Journal of Electrical and Computer Engineering (IJECE). 13. 1858. 10.11591/ijece.v13i2.pp1858-1866.
  • Nanda, S.K.; Mohanty, S.; Pattnaik, P.K.; Sain, M. Throughput Optimized Reversible Cellular Automata Based Security Algorithm. Electronics 2022, 11, 3190. https://doi.org/10.3390/electronics11193190
  • Abhinav Tomar, Rakesh Ranjan Kumar, Indrajeet Gupta. Decision making for cloud service selection: a novel and hybrid MCDM approach. Cluster Computing (2022) Springer, Impact factor 2.3, DOI: – https://doi.org/10.1007/s10586-022-03793-y
  • Soumya Snigdha Mohapatra, Rakesh Ranjan Kumar, Mamdouh Alenezi, Abu Taha Zamani, Nikhat Parveen, QoS-Aware Cloud Service Recommendation Using Metaheuristic Approach. Electronics, 11(21), 3469, MDPI (2022) Impact Factor: – 2.69, DOI: – https://doi.org/10.3390/electronics11213469
  • Soumya Snigdha Mohapatra, Rakesh Ranjan Kumar & Jitesh Pradhan, Hybrid eagle strategy for QOS-based cloud service composition, Journal of Information and Optimization Sciences, Volume 43 Issue 5, Pages 1047-1059 Publisher Taylor & Francis (2022), ESCI, DOI: – https://doi.org/10.1080/02522667.2022.2094543
  • Santosh Kumar Sharma, Abu Taha Zamani, Ahmed Abdelsalam, Debendra Muduli, Amerah A Alabrah, Nikhat Parveen, Sultan M Alanazi, A Diabetes Monitoring System and Health-Medical Service Composition Model in Cloud Environment, IEEE Access, Vol No. 11, Pages. 32804-32819 (2023), SCIE, Impact factor. 3.476, DOI. https://ieeexplore.ieee.org/abstract/document/10075459.
  • 22. Aparajita Nanda, Ram Chandra Barik, S. Bakshi, “SSO-RBNN driven Brain Tumour Classification with Saliency-K-means Segmentation Technique”, Biomedical Signal Processing and Control, Elsevier, Vol-81, March 2023, 104356, Impact Factor- 5.07,
    DOI: https://doi.org/10.1016/j.bspc.2022.104356


  • Biswaranjan Debata, Sudhira Kumar Mohapatra, and Rojalina Priyadarshini. “A Systematic Literature Review on Pulmonary Disease Detection Using Machine Learning.” In Proceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 2, pp. 515-522. Singapore: Springer Nature Singapore, 2023.
  • Debendra Muduli, Rojalina Priyadarshini, Ram Chandra Barik, Surendra Kumar Nanda, Rabindra K Barik, Diptendu Sinha Roy, Automated Diagnosis of Breast Cancer using Combined Features and Random Forest Classifier, 2023 6th International Conference on Information Systems and Computer Networks (ISCON), Pages-1-4, Publisher- IEEE.
    DOI: https://ieeexplore.ieee.org/abstract/document/10112126
  • Pragya Jha, Madhusmita Sahu, Sukant Kishoro Bisoy, Bibudhendu Pati, and Chhabi Rani Panigrahi. Application of Machine Learning in Software Testing of Health-care Domain. 7th International Conference on Advances Computing and Intelligent Engineering (ICACIE 2022), pp: 23-24 December, 2022
  • D. Muduli, R. Priyadarshini, R. C. Barik, S. K. Nanda, R. K. Barik and D. S. Roy, “Automated Diagnosis of Breast Cancer using Combined Features and Random Forest Classifier,” 2023 6th International Conference on Information Systems and Computer Networks (ISCON), Mathura, India, 2023, pp. 1-4, doi: 10.1109/ISCON57294.2023.10112126.
  • MhamadBakro, Rakesh Ranjan Kumar, Sukant K Bisoy, Mohammad Osama Addas, Dania Khamis, Developing a Cloud Intrusion Detection System with Filter-Based Features Selection Techniques and SVM Classifier. Computing, Communication and Learning. CoCoLe 2022. Communications in Computer and Information Science, vol 1729. Springer, Cham. DOI: – https://doi.org/10.1007/978-3-031-21750-0_2
  • Padhy, Isha, Priyadarshi Kanungo, and Sampa Sahoo. “A YCbCr Model Based Shadow Detection and Removal Approach On Camouflaged Images.” 2022 OITS International Conference on Information Technology (OCIT). IEEE, 2022.
  • Subham Divakar, Rojalina Priyadarshini, Surendra Kumar Nanda, Debendra Muduli, Ramchandra Barik, COLEN-An Improvised Deep Learning Model for Plant Disease Detection Using Varying Color Space, Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022) Volume 1, Springer Nature Switzerland, Pages: 589-599, DOI: https://link.springer.com/chapter/10.1007/978-3-031-31164-2_50
  • Sanjay Kumar Jena, Ram Chandra Barik. Decentralized Digital Identity: A New Form of Secured Identity Using Blockchain Technology. In: , et al. Key Digital Trends Shaping the Future of Information and Management Science, 2023. Lecture Notes in Networks and Systems, vol 671. Springer, Cham.https://doi.org/10.1007/978-3-031-31153-6_9
  • S. K. Panda and Ram Chandra Barik, “MR Brain 2D image Tumor and Cyst Classification Approach: an Empirical Analogy,” 2023 IEEE International Student’s Conference on Electrical, Electronics and Computer Science (SCEECS), MNIT Bhopal, India, 2023, pp. 1-6, DOI:10.1109/SCEECS57921.2023.10063064
  • Mishra, Anjana, Nisha Kumari, Sukant Kishoro Bisoy, and Soumya Sahoo. “Integration of Medical Internet of Things with Big Data in Healthcare Industry.” In Connected e-Health: Integrated IoT and Cloud Computing, pp. 33-51. Cham: Springer International Publishing, 2022.
  • Alagbe Adeyinka Solomon, Monalisha Mishra, Sukant Kishoro Bisoy, A Concise Review on Developmental and Evaluation Methods of Artificial Intelligence on COVID-19 Detection, Artificial Intelligence in Medical Virology, Springer, pp 135-148 (2023). DOI: 10.1007/978-981-99-0369-6_9
  • Kumar, Shwetank, Anjana Mishra, Amisha Dutta, and Aditya Raj. “Collaboration of IoT and Cloud Computing Towards Healthcare Security.” In Predictive Analytics in Cloud, Fog, and Edge Computing: Perspectives and Practices of Blockchain, IoT, and 5G, pp. 1-22. Cham: Springer International Publishing, 2022.
  • Chakraborty, Debaissh, Anjana Mishra, Vikash Kumar, Saloni Singh, and Harshita Hani. “VOID-An Assistant (Chatbot) to Education Queries System.” In 2022 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC), pp. 1-6. IEEE, 2022.
  • Mishra, Anjana, Siddha Sachida Mohapatra, and Sukant Kishoro Bisoy. “Effective Deep Learning Algorithms for Personalized Healthcare Services.” In Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis, pp. 121-141. Singapore: Springer Nature Singapore, 2022.
  • Kashyap, N., Mishra, A., & Mishra, B. K. (2022). Artificial Neural Networks: Fundamentals, Design, and Applications. In Handbook of Research for Big Data (pp. 277-295). Apple Academic Press.
  • Sudhansu Ranjan Lenka, Sukant Kishoro Bisoy, Rojalina Priyadarshini, and Biswaranjan Nayak. “Representative-based cluster undersampling technique for imbalanced credit scoring datasets.” In Innovations in Computational Intelligence and Computer Vision: Proceedings of ICICV 2021, pp. 119-129. Singapore: Springer Nature Singapore, 2022.
  • Mishra, Sanjib Kumar, Sasmita Mishra, and Rojalina Priyadarshini. “An Improvised Way To Automate Logistic Payment Block Process: A Case Study on R-Payment Block.” In 2022 OITS International Conference on Information Technology (OCIT), pp. 1-5. IEEE, 2022.
  • Swatispira Das, Jayanti Rout, Rojalina Priyadarshini, and Minati Mishra. “A Comparative Analysis of the Consensus Algorithms in Blockchain Technology.” Available at SSRN 4091413 (2022).
  • Adarsh Pratik, Abhishek Bhattacharjee, Rojalina Priyadarshini, and Subham Divakar. “An IoT and Blockchain-Based System for Acute Security Check and Analysis.” In The Role of IoT and Blockchain: Techniques and Applications, pp. 285-294. CRC Press, 2022.
  • Sudhansu R Lenka., Sukant Kishoro Bisoy, and Rojalina Priyadarshini. “Multiple Optimized Ensemble Learning for High-Dimensional Imbalanced Credit Scoring Datasets.” (2023).
  • Subham Divakar, Abhishek Bhattacharjee, and Rojalina Priyadarshini. “An IoT-Based Smart Garbage Segregation System Using Deep Learning.” In Internet of Things and Its Applications: Select Proceedings of ICIA 2020, pp. 121-132. Singapore: Springer Nature Singapore, 2022.
  • Soumya Snigdha Mohapatra, Rakesh Ranjan Kumar, A Framework for Ranking Cloud Services Based on an Integrated BWM-Entropy-TOPSIS Method, Pages 289-297, Springer International Publishing, Book: – Meta Heuristic Techniques in Software Engineering and Its Applications: METASOFT 2022, DOI: – https://doi.org/10.1007/978-3-031-11713-8_29.

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