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Abhaya Kumar Sahoo
School of Computer Science and Engineering
Faculty Profile

Abhaya Kumar Sahoo

Associate Professor II

Regular

Biography and academic profile

Abhaya Kumar Sahoo Associate Professor(I) Dr. Abhaya Kumar Sahoo is currently working as an Associate Professor in School of Computer Engineering, KIIT Deemed to be University, Odisha. He has completed his Ph.D. from KIIT Deemed to be University. He has received Founder’s Gold Medal and Chancellor’s Gold Medal in M. Tech from KIIT university. He has 14 years teaching experience and 1 year industry experience.  His area of research includes data analytics and recommender system. He has published more than 50 research papers in national and international conferences and journals. He has achieved CSI Young IT Professional award in 2013 and Best Faculty award for good academic performance in 2013 and 2014. He is the member of IEEE, CSI, IAENG and CSTA.

Academic profile

Expertise, contributions
and professional engagement.

Only the sections completed and approved for this faculty profile are shown below.

01

Research Interests

Machine Learning & Data Science

02

Educational Qualifications

Ph.D. in Recommender System from KIIT University

03

Administrative Responsibilities

Faculty in charge in Time Table (SAP), Faculty in charge in Konnexions Society, KSAC

04

Course Expertise

Big Data, Data Structure, High Performance Computing, Database Management Systems, Data Analytics

05

Awards and Achievements

Awarded CSI Young IT Professional Award-2013

06

Projects and Collaborations

AI assistive Tooth Bracket Positioning System" (DST, Nidhi Prayas) (Completed)

07

Professional Memberships

IEEE, CSI, IAENG , CSTA

08

Patents and Innovations

  • ""AI Powered Code Optimization Computing Device"", UK Patent, December 2025
09

Books and Book Chapters

  • 1. C.R. Pradhan, A.K. Sahoo, “Essentials of Database System”, LAMBERT Academic Publishing, ISBN:978- 613-9-86183-5 , 2018
  • Book Chapter Published
  • 1. Das, C., Sahoo, A. K., & Pradhan, C. (2022). Multicriteria recommender system using different approaches. In Cognitive Big Data Intelligence with a Metaheuristic Approach (pp. 259-277). Academic Press.
  • 2. Sahoo, A. K., Pradhan, C., Mishra, B. K., & Mishra, B. S. P. (2021). An Extensive Study of Privacy Preserving Recommendation System Using Collaborative Filtering. In Deep Learning in Data Analytics (pp. 171-190). Springer, Cham.
  • 3. Pravind, U., Porwal, P., Sahoo, A. K., & Pradhan, C. (2021). Collaborative Filtering-based Robust Recommender System using Machine Learning Algorithms. Recommender Systems, 1-21.
  • 4. Sahoo, A. K., & Pradhan, C. (2020). Accuracy-Assured Privacy-Preserving Recommender System Using Hybrid-Based Deep Learning Method. Recommender System with Machine Learning and Artificial Intelligence: Practical Tools and Applications in Medical, Agricultural and Other Industries, 101.
  • 5. Sahoo, A. K., Pradhan, C., & Das, H. (2020). Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making. In Nature Inspired Computing for Data Science (pp. 201-212). Springer, Cham.
  • 6. Sahoo, A. K., Mallik, S., Pradhan, C., Mishra, B. S. P., Barik, R. K., & Das, H. (2019). Intelligence-Based Health Recommendation System Using Big Data Analytics. In Big Data Analytics for Intelligent Healthcare Management (pp. 227-246). Elsevier, Academic Press.
  • 7. Sahoo, A. K., Pradhan, C., & Bhattacharyya, S. (2019). Privacy towards GIS Based Intelligent Tourism Recommender System in Big Data Analytics. Hybrid Computational Intelligence: Research and Applications, 81.
  • 8. Mishra, B.K., & Sahoo, A.K. (2015), “Application of Big Data in the Economic Policy”. In “Research Advances in the Integration of Big Data and Smart Computing”, IGI Global, ISBN13: 9781466687370, DOI: 10.4018/978-1-4666-8737-0, ch010, pp: 178-197.
  • Patent Published
  • 1. “INTELLIGENT ROBOTIC MECHANISM TO AUTOMATE SWAB TEST TO DETECT COVID-19 DISEASE”, Office of the Controller General of Patents, Design & Trade Marks, Government of India
  • 2. “SENSOR BASED ARTIFICIAL NERVOUS SYSTEM TO ASSIST PARALYZED PEOPLE”, Office of the Controller General of Patents, Design & Trade Marks, Government of India
  • Copyright Registered
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