Amit Chougule

About

A distinguished deep learning and AI researcher with a PhD from BITS Pilani, dedicated to advancing the field of artificial intelligence through cutting-edge research, innovative algorithm development, and impactful contributions to industry. Passionate about pushing the boundaries of deep learning technology to solve complex real-world problems and drive positive societal impact. Seeking opportunities to collaborate with leading research teams and organizations to further advance the field and contribute to transformative AI-driven solutions.

Employment

• Carleton University Visiting Researcher
  2022 - 2023
• Sony Research Computer Vision and Machine Learning
  2022 - 2022
• Aivolved Technologies Machine Learning Engineer
  2020 - 2020
• Phillips Research Computer Vision and Machine Learning
  2019 - 2020

Education

• Birla Institute of Technology and Science, Pilani PhD
  2021 - 2024
• PES University M.Tech
  2018 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Generation and Evaluation of Privacy-Preserving Tabular Synthetic Data Using Self-Attention Generative Adversarial Networks
  IEEE Transactions on Emerging Topics in Computational Intelligence 2026 DOI: 10.1109/TETCI.2026.3692508
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• Secure and anonymous model training using pixel-level encryption for privacy-preserving AI with obfuscation-based representation learning
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110757
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• Artificial Intelligence-Based Estimation of Fetal Head Circumference With Biparietal and Occipitofrontal Diameters Using Two-Dimensional Ultrasound Images
  Journal of Engineering and Science in Medical Diagnostics and Therapy 2025 DOI: 10.1115/1.4065799
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• Overtaking Mechanisms Based on Augmented Intelligence for Autonomous Driving: Data Sets, Methods, and Challenges
  IEEE Internet of Things Journal 2024 DOI: 10.1109/JIOT.2024.3362851
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• Artificial intelligence enabled vehicular vision and service provisioning for advanced driver assistance systems (ADAS)
  2024
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• A Novel Framework for Traffic Congestion Management at Intersections Using Federated Learning and Vertical Partitioning
  IEEE Transactions on Consumer Electronics 2024 DOI: 10.1109/TCE.2023.3320362
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• A Comprehensive Review on Limitations of Autonomous Driving and Its Impact on Accidents and Collisions
  IEEE Open Journal of Vehicular Technology 2024 DOI: 10.1109/OJVT.2023.3335180
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• A novel generative adversarial network-based super-resolution approach for face recognition
  Expert Systems 2024 DOI: 10.1111/EXSY.13564
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• HybridSecNet: In-Vehicle Security on Controller Area Networks Through a Hybrid Two-Step LSTM-CNN Model
  IEEE Transactions on Vehicular Technology 2024 DOI: 10.1109/TVT.2024.3413849
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• AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing
  Cognitive Computation 2023 DOI: 10.1007/s12559-023-10244-2
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