Amol Satsangi

About

I am Amol Satsangi, a dedicated and highly motivated student pursuing a Bachelor's degree in Electrical Engineering with a specialization in Computer Science. My academic journey reflects a strong foundation in mathematics and technical skills encompassing a wide range of programming languages and machine learning frameworks. I have a deep interest in applying my knowledge to the field of deep learning, particularly in medical image analysis and health informatics. With a proven track record of internships, projects, and research papers, I possess a well-rounded skill set in data science, computer vision, and AI. I'm an active member of professional organizations, a proactive leader, and an avid learner. My accomplishments include academic excellence and contributions to educational resources, all of which showcase my dedication and passion for technology and innovation.

Employment

• Compelson Software Development Engineer
  2025 - Present
• Indian Institute of Technology Roorkee Junior Research Fellow
  2025 - 2025
• Ministry of Education-NMEICT Virtual Lab Developer and Technical Writing Intern
  2024 - 2025
• University of Saskatchewan Mitacs GRI’24, Research Intern
  2024 - 2024
• Ministry of Education-NMEICT Virtual Lab Developer and Technical Writing Intern
  2023 - 2024

Education

• Dayalbagh Educational Institute B.tech in Electrical Engineering with speciialization in Computer Science
  2021 - 2025

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• ViDeCerviNet: a hybrid vision transformer–DenseNet framework for superior accuracy in cervical cancer diagnosis and categorisation
  Multimedia Tools and Applications 2026 DOI: 10.1007/s11042-026-21737-1
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• A Novel Vision Transformer + InceptionV3 Hybrid Network for Accurate Diagnosis of Ankylosing Spondylitis from Computed Tomography Scans
  Machine Intelligence Research 2025 DOI: 10.1007/s11633-024-1539-8
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• An Innovative Virtual System to Support the Teaching of Casting Manufacturing
  International Journal of Metalcasting 2025 DOI: 10.1007/s40962-025-01635-2
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• Intelligent assessment of power quality disturbances: A comprehensive review on machine learning and deep learning solutions
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110275
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• Comparative Evaluation of Transfer Learning Models for Accurate Plant Disease Detection
  2025 DOI: 10.1007/978-981-97-8868-2_16
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• OPTIMIZING BREAST CANCER CLASSIFICATION THROUGH INNOVATIVE 2-STEP TRANSFER LEARNING APPROACH
  Journal of Trends and Challenges in Artificial Intelligence 2024
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• Performance Evaluation of YOLOv5 and YOLOv8 for Vehicle Detection: A Comparative Study
  2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) 2024 DOI: 10.1109/icccnt61001.2024.10723901
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• Deep Dive: Comparative Analysis of Deep Learning Techniques for Disease Classification
  3rd International conference of UG students 2024
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• Leveraging Transformer: A Web-Based Vision Tool for Potato Disease Detection
  3rd International conference of UG students 2024
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• Investigating Transfer Learning Models for Lung Cancer Detection from CT Scans: A Comparative Evaluation
  Artificial Intelligence and Sustainable Computing 2024 DOI: 10.1007/978-981-97-0327-2_17
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