Himanshu Gajera

About

I am a dedicated and passionate computer engineer with a Ph.D. from SVNIT, Surat, specializing in pioneering deep learning methodologies tailored for applications in healthcare, water management, finance and agriculture. Recognized for my achievements, including a Gold Medal, a travel grant, and multiple excellence awards, I have showcased my research at esteemed conferences and in top-tier journals. My work amplifies innovative approaches at the intersection of deep learning, machine learning, medical imaging, computer vision, and pattern recognition. Actively seeking collaborative opportunities, I aim to further advance the boundaries of deep learning and contribute substantively to its evolution.

Employment

• Pandit Deendayal Energy University Assistant Professor
  2024 - Present
• Pandit Deendayal Energy University Faculty
  2023 - 2024
• OM ENGINEERING COLLEGE Assistant Professor and Head of Computer Department
  2013 - 2020
• Balaji institute of engineering and technology I/C HOD
  2010 - 2011
• JKM BCA college Programmer
  2008 - 2010

Education

• Sardar Vallabhbhai National Institute of Technology Surat PhD
  2020 - Present
• Charotar University of Science and Technology M.Tech in Computer Engineering
  2011 - 2013
• Dharmsinh Desai Institute of Technology Bachelor of Computer Engineering
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• MTA-Net: Multi-scale triplet attention-aware network for multiclass skin lesion classification
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2025.110729
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• From Chaos to Categories: Multiclass Email Classification Using Machine Learning on Unstructured Data
  2025 Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS) 2025 DOI: 10.1109/aists66100.2025.11232704
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• A Multi-CNN Ensemble Method for Early Diagnosis of Alzheimer’s Disease Using MRI Imaging
  2025 International Conference on Artificial Intelligence and Machine Vision (AIMV) 2025 DOI: 10.1109/aimv66517.2025.11203743
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• A Lightweight U-Net Structure for Retinal Boold Vessel Segmentation
  2025 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) 2025 DOI: 10.1109/assic64892.2025.11158427
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• Attention-Enhanced Deep Learning for Accurate Plant Disease Detection
  2025 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC) 2025 DOI: 10.1109/assic64892.2025.11158608
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• M2CE: Multi‐convolutional neural network ensemble approach for improved multiclass classification of skin lesion
  Expert Systems 2023 DOI: 10.1111/exsy.13435
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• A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features
  Biomedical Signal Processing and Control 2023 DOI: 10.1016/j.bspc.2022.104186
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• Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images
  2022 OITS International Conference on Information Technology (OCIT) 2022 DOI: 10.1109/ocit56763.2022.00037
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• Patch‐based local deep feature extraction for automated skin cancer classification
  International Journal of Imaging Systems and Technology 2022 DOI: 10.1002/ima.22729
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• Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification
  2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022 DOI: 10.1109/embc48229.2022.9871370
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