Dr. Tanmay Kumar Behera

Dr. Tanmay Kumar Behera

Assistant Professor (Gr-II)

B.Tech, M.Tech, Ph.D

Contact & Basic Information

Phone:

Email: [email protected]

Website/Blog: http://www.tanmaykumar.in/

Join Date:

Department: Computer Science & Engineering

Address:

Educations

Course Institute Board / University Year Subject
B.E. / B.Tech.BPUT Odisha2023Computer Science and Engineering
M.E. / M.Tech. Veer Surendra Sai University of Technology Burla, [State Govt. of Odisha undertaking]2015Computer Science and Engineering
Ph.D. National Institute of Technology Rourkela2012Computer Science and Engineering

Experiences

Position Year Organisation Specialisation
Assistant Professor (Grade-II Level 10) 13/09/2024 - 19/12/2024Dr. B.R. Ambedkar National Institute of Technology Jalandhar Punjab, IndiaTeaching & Research
Assistant Professor 08/01/2024 - 11/09/2024SoA University, BhubaneswarTeaching & Research
Post Doctoral Research Fellow 30/12/2022 - 30/12/2023TIH IIT Patna Extension CenterMap Generation using UAV Aerial Images through Semantic Segmentation for critical applications

Research Interest

Computer Vision, Remote Sensing, Drone Vision, Deep Learning

Publications

International/National Journals
S.No. Month Year Publication Information
1 MAR 2024 T. K. Behera, M. A. Khan, S. Bakshi, “Brain MR Image Classification using Superpixelbased Deep Transfer Learning,” IEEE Journal of Biomedical and Health Informatics, 2024, DOI: 10.1109/JBHI.2022.3216270, ISSN: 2168-2194.IF: 6.7
2 FEB 2024 T. K. Behera, S. Bakshi,, M. A. Khan,, & H. M. Albarakati (2024). A Lightweight Multi Scale-Multi Object Deep Segmentation Architecture for UAV-based Consumer Applications. IEEE Transactions on Consumer Electronics, 70(1), 3740 – 3753, 2024, DOI: 10.1109/TCE.2024.3367531, ISSN: 1558-4127. IF: 4.3
3 MAR 2023 T.K. Behera, S. Bakshi, P.K. Sa, M. Nappi, A. Castiglione, P. Vijayakumar, and B. Gupta, “The NITRDrone Dataset to Address the Challenges for Road Extraction from Aerial Images,” Journal of Signal Processing Systems, pp.1-13, 2022, DOI: 10.1007/s11265-022- 01777-0, ISSN: 1939-8018. IF: 1.6
4 JAN 2023 T. K. Behera, S. Bakshi, & P. K. Sa, A lightweight deep learning architecture for vegetation segmentation using UAV-captured aerial images. Sustainable computing: Informatics and systems, 2023, VOL. 37, 100841, DOI: 10.1016/j.suscom.2022.100841, IF: 3.8
5 JAN 2023 T. K. Behera, S. Bakshi, M. Nappi and P. K. Sa, “Superpixel-Based Multiscale CNN Approach Toward Multiclass Object Segmentation From UAV-Captured Aerial Images,” in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 1771-1784, 2023, doi: 10.1109/JSTARS.2023.3239119, IF: 4.7
6 NOV 2022 T. K. Behera, P. K., Sa, M. Nappi, S. Bakshi, Satellite IoT based road extraction from VHR images through superpixel-CNN architecture. Big Data Research, vol. 30, 2022, pages: 100334, DOI: 10.1016/j.bdr.2022.100334, IF: 3.5
7 JUL 2022 T. K. Behera, S. Bakshi, & P. K. Sa, Vegetation extraction from UAV-based aerial images through deep learning. Computers and Electronics in Agriculture, 2022, 198, 107094, DOI: 10.1016/j.compag.2022.107094. IF: 7.7.
8 NOV 2021 N. K. S. Behera, T. K. Behera, M. Nappi, S. Bakshi, P. K. Sa, Futuristic person re-identification over internet of biometrics things (IoBT): Technical potential versus practical reality, Pattern Recognition Letters, Volume 151, 2021, Pages 163-171, DOI: 10.1016/j.patrec.2021.08.007, IF: 3.9
9 JUN 2021 T. K. Behera, S. Bakshi and P. K. Sa, “Aerial Data Aiding Smart Societal Reformation: Current Applications and Path Ahead,” in IT Professional, vol. 23, no. 3, pp. 82-88, 1 May-June 2021, doi: 10.1109/MITP.2020.3020433. IF: 2.2.
International/National Conference Proceedings
S.No. Month Year Publication Information
1 FEB 2018 S. Subudhi, T.K. Behera, S. Panigrahi, “Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection,” in 2017 3rd International Conference on Computational Intelligence and Networks (CINE), IEEE, 2017, pp.78-82, DOI: 10.1109/CINE.2017.10
2 DEC 2017 T. K. Behera and S. Panigrahi, “Credit card fraud detection using a neuro-fuzzy expert system”, in Computational intelligence in data mining. Springer, 2017, pp. 835-843. DOI: 10.1007/978-981-10-3874-7_79
3 MAY 2015 T. K. Behera and S. Panigrahi, “Credit Card Fraud Detection: A Hybrid Approach Using Fuzzy Clustering & Neural Network,” in 2015 Second International Conference on Advances in Computing and Communication Engineering. IEEE, 2015, pp. 494–499. DOI: 10.1109/ICACCE.2015.33

Courses Taught

UG: Introduction to Computer Programming, Principles of Compiler Design

PG:

Awards / Recognitions

Additional Assignments

B.Tech Projects & M.Tech Dissertation

B.Tech. Projects
S.No. Degree Project Topic, Student Name & Other Details Status From To
1 B.E. / B.Tech.
Gastric Cancer Classification through Computer Vision Techniques
Pyari Mohan Dash, Kranti Priyadrashan Rout, Pratyusna Priyadarshini, Ananya Mahapatra
Completed 08/01/2024 13/06/2024

Research Scholars/Ph.D. Supervised

Post-Doctoral Fellows

Academic Responsibility

No data

Sponsored Research Project

No data

Memberships

  • Institute of Electrical and Electronics Engineers (IEEE): Member

Invited Reviewer

  • Journal of Selected Topics in Applied Earth Observations and Remote Sensing : Publisher: IEEE, IF: 4.7
  • IEEE IT Professionals Magazine : Publisher: IEEE, IF: 2.2
  • IEEE Journal of Biomedical and Health Informatics: Publisher: IEEE, IF: 6.7
  • IEEE Transactions on Circuits and Systems for Video Technology: Publisher: IEEE, IF: 8.3

Training / Conference Attended

WhenCategoryDetail
January, 2025Short Term CourseAs a "Resource Person", I gave a talk in Faculty Development Program (FDP) on ” Unleashing the Real-World Applications of Artificial Intelligence and Machine Learning” sponsored by Ministry of Electronics and Information Technology (MeitY), GOI, conducted in collaboration with NITW and SVNIT Surat

Training / Conference Conducted

No data