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Abhaya Kumar Sahoo
School of Computer Engineering
Faculty Profile

Abhaya Kumar Sahoo

Associate Professor

Regular

Biography and academic profile

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 B. Tech, M. Tech and Ph.D. from KIIT Deemed to be University in 2010, 2012 and 2021 respectively.
He has received Founder’s Gold Medal and Chancellor’s Gold Medal in M. Tech. He has 8 years teaching experience and 1 year industry experience. His favourite teaching subjects include big data, operating system, web technology, computer organization and database. His area of research includes data analytics, recommender system, data security and data mining. He has published more than 20 research papers in national and international conferences and journals. He guides undergraduate and post graduate students in different project. He has also published more than five book chapters in different reputed books. He is involved in different academic activities such as organizing committee member in international conferences, reviewers in international journals, keynote speaker in workshop and different accreditation activities. He has attended more than thirty different programs such as a faculty development program, seminar and workshop in national and international level. He was Odisha State Student Coordinator in Computer Society of India during 2019-20. 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 life member of CSI, IAENG, CSTA and IET.

Academic profile

Expertise, contributions
and professional engagement.

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

01

Educational Qualifications

M.Tech, Ph.D

02

Awards and Achievements

  • Best Faculty Award-2013 and Best Faculty Award -2014 for good academic performance in C.V. Raman College of Engineering.
  • Keynote Speaker in National workshop on Parallel & Heterogeneous Computing-2014 in C.V. Raman College of Engineering.
  • CSI Young IT Professional Award-2013 in Regional Round: Region-IV chapter.
  • Founder's Gold Medal and Chancellor's Gold Medal-2012 in M.Tech from KIIT University.
    21st position in 10th board examination in Orissa.
  • Scholarship in 5th class and National Rural Talent Scholarship in 7th class.
03

Projects and Collaborations

"AI Assistive Tooth Bracket Positioning System", Dr. Bhagabati Dash and Dr. Abhaya Kumar Sahoo, Department of Science & technology-Nidhi Prayas Scheme (Approved).

04

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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