Bijoy Antony Jose

About

Associate Professor
Department of Computer Science
Cochin University of Science and Technology

PhD Computer Engineering, Virginia Tech
MS, State University of New York at New Paltz
BTech, School of Engineering, CUSAT

Software Architect, Intel Corporation, USA

Employment

• Cochin University of Science and Technology Associate Professor and Head
  2021 - Present
• Cochin University of Science and Technology Assistant Professor
  2015 - 2021
• Intel Corporation Software Architect
  2011 - 2015

Education

• Virginia Tech PhD
  2007 - 2011
• State University of New York at New Paltz MS
  2005 - 2006
• Cochin University of Science and Technology Bachelor of Technology
  2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (50)

• Challenges in Modelling Analog PUFs: A Study of Hybrid and Diode Triode Current Mirror Inverter PUF Under Machine Learning Attacks
  IET Circuits, Devices & Systems 2025 DOI: 10.1049/cds2/3903508
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• MLOps Challenges in Deploying High-Performance Vision Models: An Empirical Analysis
  2025 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) 2025 DOI: 10.1109/conecct65861.2025.11306401
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• Improved multi object tracking with locality sensitive hashing
  Pattern Analysis and Applications 2024
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• A Novel Physical Unclonable Function Based on Hybrid Current Mirror
  Journal of Hardware and Systems Security 2023
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• A Multi-Tasking Model for Object Detection, Instance Segmentation and Keypoint Estimation Tasks
  Journal of Information Science and Engineering 2023
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• Diode-Triode Current Mirror Inverter PUF: A Novel Mixed-Signal Low Power Analog PUF
  IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS) 2023
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• Fused features for no reference image quality assessment
  The Imaging Science Journal 2022 DOI: 10.1080/13682199.2023.2167267
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• A Novel Mixed-Signal PUF Based on Current Mirror Inverter
  IEEE International Symposium on Smart Electronic Systems (iSES) 2022
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• Detecting Anomalies in Power Consumption of an Internet of Things Network Using Statistical Techniques
  Springer Proceedings of Artificial Intelligence Driven Circuits and Systems 2022
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• Improved Multi Object Tracking with Locality Sensitive Hashing
  2022 DOI: 10.2139/ssrn.4070391
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