Neelanjan Bhowmik
AI & Computer Vision Engineer at AutosOnShow
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNeelanjan Bhowmik is an AI and Computer Vision engineer with over eight years of experience translating advanced research into deployed systems for aviation security, defence, and industrial partners. Holding a PhD in computer vision and a track record at Durham University, he specialises in 2D/3D X‑ray understanding, anomaly/threat detection, synthetic image generation, and embedded/edge deployment of CV algorithms. He has led TRL5/6 projects with UK government agencies and aerospace/defence contractors, combining GPU-cluster management, grant writing and project leadership. His work spans visible and non-visible spectra, image retrieval and behaviour analysis, and includes open-source toolkits and practical repos for X‑ray and annotation workflows. Outside the lab he consults part-time for industry and—more unusually for a researcher—has tasted KFC across three continents.
8 years of coding experience
14 years of employment as a software developer
Rashtrasant Tukadoji Maharaj Nagpur UniversityMSc, Computer Vision Engineering, MSc, Computer Vision Engineering at The University of SheffieldDoctor of Philosophy (Ph.D.), Computer Vision/ Image Processing/ Informatics/, Doctor of Philosophy (Ph.D.), Computer Vision/ Image Processing/ Informatics/ at Université Paris-Est Marne-la-Vallée
English, Bengali, Hindi, French, Spanish
Github Skills (37)
artificial-intelligence10
anomaly-detection10
classification10
computed-tomography10
datasets10
segmentation10
vision-transformer10
object-detection10
faster-rcnn10
computer-vision10
convolutional-neural-networks9
pytorch9
security9
camouflaged-object-detection9
machine-learning9
Programming languages (1)
Github contributions (5)
NeelBhowmik/xray
Sep 2021 - Jan 2023
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
Contributions:43 commits, 60 pushes in 1 year 4 months
computer-visionmachine-learningsecurityx-ray-imagesartificial-intelligence
NeelBhowmik/efficient-compact-fire-detection-cnn
Jan 2021 - May 2021
Real-time fire detection in image/video/webcam using a convolutional neural network (deep learning) - from our ICMLA 2020 paper (Thomson / Bhowmik / Breckon)
Contributions:23 commits, 3 pushes, 7 comments in 4 months
convolutional-neural-networksdeep-learningwebcampytorchcomputer-vision
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