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Dayal Kumar Behera
School of Computer Science and Engineering
Faculty Profile

Dayal Kumar Behera

Associate Professor I

Regular

Biography and academic profile

Dr. Dayal Kumar Behera is an Associate Professor in the School of Computer Science and Engineering, KIIT Deemed to be University, Bhubaneswar, with more than 20 years of teaching, research, academic administration, and mentoring experience in Computer Science and Engineering. His teaching and research interests span Computational Intelligence, Machine Learning, Data Science, Deep Learning, Transfer Learning, Medical Image Analysis, Time-Series Forecasting, Vehicular Fog/Edge Computing, Computer Vision, Recommendation System, and GIS & Remote Sensing. His current research particularly focuses on intelligent and explainable AI systems, transfer learning for medical image classification, machine-learning and deep-learning-based environmental and remote-sensing applications, and intelligent task offloading and resource management in vehicular fog/edge computing. He possesses strong hands-on programming and computational skills in Python, R, Java, C and MATLAB. He received his Ph.D. in Computer Science and Engineering from KIIT Deemed to be University and M.Tech. from Odisha University of Technology and Research. He obtained a B.E. degree with honours in Information Technology from the National Institute of Science and Technology, Odisha. He has guided three Ph.D. scholars, around 20 M.Tech dissertations, and more than 70 B.Tech projects, in addition to mentoring several innovation-oriented projects. His contributions to sponsored research and innovation include serving as Co-Principal Investigator of a DST, Government of India-funded project worth approximately ₹19 lakhs and leading DST–IEDC innovation initiatives, including projects on a collision-avoidance self-flying drone and a big-data-analytics-based recommender portal. In addition to teaching and research, Dr. Behera is actively involved in academic administration and institutional digital transformation. He is presently serving as Assistant Controller of Examinations (ACOE) and Faculty-in-Charge (FIC), Timetable, in the School of Computer Science and Engineering. He has made major contributions to the development and implementation of KAYA (KIIT Academic YAtra), an institutional academic software platform in which timetable-management and examination-related modules have been successfully implemented, deployed, and are being actively used by a large number of faculty members and students of KIIT. Dr. Behera has authored two books and published around 70 research articles in reputed journals and conference proceedings. He has also contributed to more than 50 intellectual property works, including Indian patents and granted UK patents. His research and academic contributions have been recognized through distinctions including the Best Researcher Award (2023) and the Young Scientist Award (2023). He is associated with several professional and technical societies and is a member of IEEE, ISTE, OITS, IAENG, and InRes. He has actively contributed to the organization of national and international academic conferences and has served as a Session Chair at several conferences. He has completed multiple professional certifications in Artificial Intelligence, Machine Learning, and emerging technologies. Dr. Behera has also served as a resource person in several AICTE-sponsored Faculty Development Programmes and regularly delivers invited lectures and technical sessions on Artificial Intelligence, Machine Learning, analytics, time-series forecasting including ARIMA, data-driven decision-making, and emerging computing technologies.

Academic metricsUpdated September 24, 2026
70Publications
5Citations
11h-index
3Scholars Supervised
Academic profile

Expertise, contributions
and professional engagement.

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

01

Research Interests

Remote Sensing Applications, Machine Learning & Data Science, Computer Vision, Recommendation System, Vehicular Fog Computing, Time Series Forecasting

02

Educational Qualifications

B.Tech in Computer Science Engineering from Berhampur University, / M.Tech in CSE from Odisha University of Technology and Research University, / Ph.D. from KIIT University

03

Administrative Responsibilities

Faculty in charge Timetable, Assistant Controller of Examinations

04

Course Expertise

Computer Organization and Architecture, Design and Analysis of Algorithm, Computational Intelligence, Machine Learning, Deep Learning, Time Series Forecasting

05

Awards and Achievements

  • Awarded with the Best Researcher Award 2023. Awarded with the Young Scientist Award 2023.
  • + Certified Trainer for the role of "Telecom Terminal Equipment Application Developer (Android) QP No: TEL/Q2300" by TSSC, India. SUN Certified JAVA Programmer for the JAVA 2 Platform 1.5 (SCJP 5.0).
  • Participated in CISCO IoT Hackathon 2017 as a Mentor and the team grabbed the winner position. Participated in the Programming Hackathon "Trithon 2019" as a mentor and the team earned runner-up position.
06

Projects and Collaborations

+ An Intelligent IoT based System for Sensing Hazardous Gases in Manhole and Analysis, Funds approved 19Lakhs, DST-Government of India. + Collision Avoidance Self-Flying Drone, Funds approved 1 Lakh, DST, New Delhi under IEDC Scheme. + Recommender Portal using Big Data Analytics, Funds approved 1 Lakh, DST, New Delhi under IEDC Scheme.

07

Professional Memberships

OITS, ISTE, IAENG, InRes and IEEE

08

Patents and Innovations

  • 1. Indian Patent, “Real Time Crop Recommendation Framework based on Soil Quality and Environmental Condition using Machine Learning”, Application Number: 202231056814, Status: Published, 2022.
  • 2. Indian Patent, “I-Vision-based human-robot interaction and navigation system”, Application Number: 202331008501, Status: Published, 2023.
  • 3. UK Design Patent, “Smart LED Printer”, Design Number: 6275533, Grant date: 26th April 2023.
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