National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

EXPERTISE INFORMATION

Research Group
  • Signal Processing
Areas of Interest
  • Distributed sensing and processing across network.
  • Sparse signal processing.
  • Model Based Deep Learning.
  • Multimodal Image superesolution.
  • Machine Learning in IOT

Upendra Kumar Sahoo
ଉପେନ୍ଦ୍ର କୁମାର ସାହୂ Assistant Professor Grade-I

Electronics and Communication Engineering

sahooupen@nitrkl.ac.in

0661 - 246 2469

Biosketch

1

PATENTS / COPYRIGHTS

40

PUBLICATIONS

16

DOCTORAL STUDENTS

1

CONTINUING EDUCATION

PERSONAL INFORMATION

Upendra Kumar Sahoo

Assistant Professor Grade-I

Electronics and Communication Engineering

Room Number: EC-213

Department of Electronics and Communication Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2015

Ph.D.
Wireless sensor network
NIT Rourkela

2008

M.Tech
Telematics & signal processing
NIT Rourkela

2004

B.E
Electronics & Tele comm. Engg.
VSSUT Burla

Teaching Experience
  • Electronics & Communication Engg.,  NIT Rourkela,   12 Dec 2011 - Till Date

P. Deshmukh, D. Gupta, R. K. Chaitanya, L. Priyadarsini, K. C. Behera, U. K. Sahoo, and S. K. Das,"Adaptive Heterogeneous Traffic Signaling System",IN 538798, Granted to NIT Rourkela, 2024       << Patent >>

9
GOOGLE SCHOLAR H-INDEX 9
GOOGLE SCHOLAR I10-INDEX 0
SCOPUS H-INDEX
Total Publications: 40
View All Publications

S. Kumar, A. K. Sahoo, U. K. Sahoo, and D. P. Acharya,"QR-based robust diffusion strategies for wireless sensor networks using minimum-wilcoxon-norm", IET Signal Processing, vol.10, no.5, pp.439-448, Institution of Engineering and Technology, June 2016, 10.1049/iet-spr.2015.0386       Article

S. Kumar, U. K. Sahoo, A. K. Sahoo, and D. P. Acharya,"Diffusion minimum-Wilcoxon-norm over distributed adaptive networks: formulation and performance analysis", Digital Signal Processing, vol.51, pp.156-169, Elsevier, April 2016, 10.1016/j.dsp.2016.02.001       Article

S. Gupta, A. K. Sahoo, and U. K. Sahoo,"Nonlinear space–time varying parameter estimation using consensus-based in-network distributed strategy", Digital Signal Processing, vol.79, pp.175-189, Elsevier, August 2018, 10.1016/j.dsp.2018.05.007       Article

S. Das, S. Meher, and U. K. Sahoo,"Reducing the effect of covariate factors in gait recognition using robust estimator", in TENCON 2017 - 2017 IEEE Region 10 Conference, pp.3393-3398, IEEE, December 2017, 10.1109/TENCON.2017.8228393       Inproceedings

S. Das, U. K. Sahoo, and S. Meher,"Improving single view gait recognition using sparse representation based classification", in Proceedings of the 2016 IEEE Students’ Technology Symposium, IEEE, Kharagpur, India, March 2017, 10.1109/TechSym.2016.7872703       Inproceedings

IoT and Machine Intelligence for Industry 4.0 Electronics and Communication Engineering (Workshop)

  • EC100 : Basic Electronics Engineering {Theory}
  • EC1000 : Basic Electronics Engineering {Theory}
  • EC200 : Fundamentals of Communication Systems {Theory}
  • EC202 : Digital Electronics {Theory}
  • EC203 : Networks {Theory}
  • EC2601 : Signals and Systems {Theory}
  • EC311 : Analog Communication Systems {Theory}
  • EC314 : Digital Communication {Theory}
  • EC341 : Digital Signal Processing {Theory}
  • EC3601 : Digital Signal Processing {Theory}
  • EC3602 : Digital Image Processing {Theory}
  • EC3604 : Soft Computing {Theory}
  • EC3606 : Introduction to Machine Intelligence {Theory}
  • EC414 : Information Theory and Coding {Theory}
  • EC444 : Soft Computing {Theory}
  • EC646 : Adaptive Signal Processing {Theory}
  • EC651 : Digital Filter Design {Theory}
  • EC6601 : Advanced Digital Signal Processing {Theory}
  • EC6604 : Machine Intelligence {Theory}
  • CS2672 : AI and ML Laboratory {Practical}
  • EC270 : Basic Electronics Laboratory {Practical}
  • EC2700 : Basic Electronics Laboratory {Practical}
  • EC2702 : Digital Electronics and HDL Laboratory {Practical}
  • EC276 : Digital Electronics Laboratory {Practical}
  • EC3703 : Communication Engineering Laboratory {Practical}
  • EC3705 : Digital Signal Processing Laboratory {Practical}
  • EC372 : Digital Communication Laboratory {Practical}
  • EC373 : Analog Communication Laboratory {Practical}
  • EC375 : Digital Signal Processing Laboratory {Practical}
  • EC375 : DSP Laboratory {Practical}
  • EC390 : Special Laboratory in Electronics & Communication Engineering I {Practical}
  • EC390 : Special Laboratory in Electronics and Communication Engineering-II {Practical}
  • EC6671 : Advanced Digital Signal Processing Laboratory {Practical}
  • EC674 : Soft Computing Laboratory {Practical}
  • EC778 : Adaptive Signal Processing Laboratory {Practical}

Ph.D. Students [10]
Deep Learning Methods for Vehicle Detection in Mixed and Undisciplined Traffic Environments
Prashant Deshmukh
Enrolled: Jan 2018
Graduated :  Feb 2024
Co-Supervisor
Development of Different Radio Tomographic Imaging Techniques by Exploiting Sparsity.
Abhijit Mishra
Enrolled: Jan 2018
Graduated :  Aug 2024
Supervisor
Robust Non-Parametric Diffusion Strategies over Distributed Adaptive Networks and Their Applications
Modalavalasa Sowjanya
Enrolled: Jan 2016
Graduated :  Jul 2021
Supervisor
Distributed Strategies for Nonlinear System Identification
Saurav Gupta
Enrolled: Jan 2015
Graduated :  Dec 2019
Co-Supervisor
Development of Human Gait Recognition Techniques under Covariate Conditions for Surveillance Systems
Sonia Das
Enrolled: Jul 2013
Thesis Submitted
Co-Supervisor
Computer Vision
Nihar Ranjan Mohapatra
Enrolled: Jul 2024
Continuing
Co-Supervisor
Multimodal Image Super-resolution
Kannuru Srinadh
Enrolled: Jul 2022
Continuing
Supervisor
GEOTECHNICAL ENGINEERING
Vamsi A
Enrolled: Jul 2018
Continuing
Co-Supervisor
Ground Penetrating Radar Signal Processing
Swarna Laxmi Panda
Enrolled: Jan 2018
Continuing
Co-Supervisor
Signal Processing
Prabeen Kumar Sahu
Enrolled: Jan 2018
Continuing
Supervisor
Executive Ph.D. Students [6]
IoT in Signal Processing
Jyotisankar Kalia
Enrolled: Aug 2022
Continuing
Co-Supervisor
Deep Learning and Computer Vision for IoT
Sai S. Kumar Mangapuram
Enrolled: Aug 2022
Continuing
Supervisor
Signal Processing
Kamala Kanta Meher
Enrolled: Mar 2021
Continuing
Supervisor
MULTIMODAL OBJECT DETECTION BY UNMANNED AERIAL VEHICLE USING SIGNAL PROCESSING AND DEEP LEARNING TECHNIQUES
Sandeep Naga Korlepara
Enrolled: Aug 2021
Continuing
Co-Supervisor
Infrared Image Super Resolution
Prasant Kumar Dash
Enrolled: Oct 2020
Continuing
Co-Supervisor
MACHINE LEARNING APPLICATION to FREE SPACE OPTICAL COMMUNICATIONS
Puttupu Pavani
Enrolled: Oct 2020
Continuing
Supervisor