Dr. Ram Prasad Padhy

Assistant Professor

E-mail: rampadhy@iiitdm.ac.in | Room No: 310-G, Laboratory Complex

LinkedIn: https://www.linkedin.com/in/dr-ram-prasad-padhy-936957141/

Google Scholar: https://scholar.google.com/citations?user=JY_kISIAAAAJ&hl=en&authuser=1


National Institute of Technology Rourkela


Ph.D. (Computer Science and Engineering)

2015 - 2020

National Institute of Technology Rourkela


B.Tech (Computer Science and Engineering)

2007 - 2011


  1. Computer Science and Engineering

  2. Artificial Intelligence and Machine Learning

Research Interests

  1. Machine Learning

  2. Deep Learning

  3. Computer Vision

  4. Autonomous Robotics

  5. Sensor Fusion

  6. Multi-modal Perception

  7. Visual Surveillance

Honours + Awards + Recognitions

  1. Red Hat Certified Engineer (RHCE)

Work Experience


  1. Assistant Professor (Feb 2021 - Till Date), Indian Institute of Information Technology Design and Manufacturing (IIITDM), Kancheepuram, Chennai.


  1. Senior Software Engineer at Samsung Research Institute - Delhi (July 2011 to Jan 2015) - 3.5 years

  2. Lead Research Engineer at Siemens Technology and Services Pvt. Ltd. (Aug 2019 to Jan 2020) - 1.5 years

Professional Membership

  1. Member IEEE

Professional Service

  1. Currently a member of the institute IPR cell at IIITDM Kancheepuram

  2. Warden, Boy's hostel, IIITDM Kancheepuram


  1. Data Structures And Algorithms

  2. Interactive Computer Graphics

  3. Problem Solving and Programming

  4. Introduction to Data Science for Engineers

Journal Publications

  1. Ram Prasad Padhy, Xiaojun Chang, Suman Kumar Choudhury, Pankaj Kumar Sa, and Sambit Bakshi, “Multi-stage Cascaded Deconvolution for Depth Map and Surface Normal Prediction from Single Image”, Pattern Recognition Letters, Elsevier, Volume: 127, Pages: 165-173, Year: 2018. IF: 4.757, DOI: https://doi.org/10.1016/j.patrec.2018.07.012, ISSN: 0167-8655

  2. Ram Prasad Padhy, Suman Kumar Choudhury, Pankaj Kumar Sa, and Sambit Bakshi, “Obstacle Avoidance for Unmanned Aerial Vehicles: Using Visual Features in Unknown Environments”, IEEE Consumer Electronics Magazine, IEEE, Volume: 8, Pages: 74-80, Year: 2019. IF: 4.135, DOI: https://doi.org/10.1109/MCE.2019.2892280 , ISSN: 2162-225

  3. Ram Prasad Padhy, Feng Xia, Suman Kumar Choudhury, Pankaj Kumar Sa, and Sambit Bakshi, “Monocular Vision Aided Autonomous UAV Navigation in Indoor Corridor Environments”, IEEE Transactions on Sustainable Computing, IEEE, Volume: 4, Pages: 96-108, Year: 2018. IF: 4.908, DOI: https://doi.org/10.1109/TSUSC.2018.2810952, ISSN: 2377-3782

  4. Ram Prasad Padhy, Pankaj Kumar Sa, Fabio Narducci, Carmen Bisogni, Sambit Bakshi. "Monocular Vision Aided Depth Measurement from RGB Images for Autonomous UAV Navigation", ACM Transactions on Multimedia Computing Communications and Applications, Year: 2022. IF: 4.094, DOI: https://doi.org/10.1145/3550485, ISSN: 1551-6857

  5. Suman Kumar Choudhury, Ram Prasad Padhy, Arun Kumar Sangaiah, Pankaj Kumar Sa, Khan Muhammad, and Sambit Bakshi, “Scale Aware Deep Pedestrian Detection”, Transactions on Emerging Telecommunications Technologies, Wiley, Volume: 30, Year: 2018. IF: 3.31, DOI: https://doi.org/10.1002/ett.3522, ISSN: 2161-3915

  6. Suman Kumar Choudhury, Ram Prasad Padhy, Pankaj Kumar Sa, and Sambit Bakshi, “Human Detection using Orientation Shape Histogram and Coocurrence Textures”, Multimedia Tools and Applications, Springer, Volume: 78, Pages: 13949–13969, Year: 2018. IF: 2.577, DOI: https://doi.org/10.1007/s11042-018-6866-8, ISSN: 1573-7721

  7. Suman Kumar Choudhury, Pankaj Kumar Sa, Ram Prasad Padhy, Saurav Sharma, and Sambit Bakshi, “Improved Pedestrian Detection using Motion Segmentation and Silhouette Orientation”, Multimedia Tools and Applications, Springer, Volume: 77, Pages: 13075–13114, Year: 2017. IF: 2.577, DOI: https://doi.org/10.1007/s11042-017-4933-1, ISSN: 1573-7721

  8. Nayan Kumar Subhashis Behera, Pankaj Kumar Sa, Sambit Bakshi, and Ram Prasad Padhy. "Person re-identification: A taxonomic survey and the path ahead." Image and Vision Computing (Elsevier), Volume: 122, Year: 2022. IF: 3.86. DOI: https://doi.org/10.1016/j.imavis.2022.104432

Conference Publications

  1. Ram Prasad Padhy, Shahzad Ahmad, Sachin Verma, Pankaj Kumar Sa, and Sambit Bakshi, “Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning”, 25th International Conference on Pattern Recognition (ICPR), IEEE, 2020. DOI: https://doi.org/10.1109/ICPR48806.2021.9412096, ISBN: 978-1-7281-8808-9

  2. Ram Prasad Padhy, Sachin Verma, Shahzad Ahmad, Suman Kumar Choudhury, and Pankaj Kumar Sa, “Deep Neural Network for Autonomous UAV Navigation in Indoor Corridor Environments”, Robotics and Smart Manufacturing (RoSMa–2018), Procedia computer science, Elsevier, Volume: 133, Pages: 643-650, Year: 2018. DOI: https://doi.org/10.1016/j.procs.2018.07.099, ISSN: 1877-0509

  3. Suman Kumar Choudhury, Ram Prasad Padhy, and Pankaj Kumar Sa, “Faster R-CNN with Densenet for Scale Aware Pedestrian Detection vis-à-vis Hard Negative Suppression”, IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2017. DOI: https://doi.org/10.1109/MLSP.2017.8168128, ISBN: 978-1-5090-6341-3

  4. Divyansh Rastogi, Ram Prasad Padhy, and Pankaj Kumar Sa, “Detection of Retinal Disorders in Optical Coherence Tomography using Deep Learning”, IEEE 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT), IEEE, 2019. DOI: https://doi.org/10.1109/ICCCNT45670.2019.8944406, ISBN: 978-1-5386-5906-9


  1. Title: Infrastructure-based navigation system, Filing Date: 24.07.2020, Application number: PCT/EP2020/070988, Status: Published

  2. Title: System and method for adaptive traffic signal planning and control, Filing Date: 12.08.2020, Application number: PCT/EP2020/072641, Status: Published

  3. Title: Critical Scenario Identification for Verification and Validation of Vehicles, Filing date: 28.08.2020, Application number: PCT/EP2020/074101, Status: Published

  4. Title: Autonomous vehicle data searching and auditing system, Filing Date: 24 Jun 2021, Application number: PCT/EP2021/067294, Status: Filed

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