Faculty Details

Amit Kumar K

Assistant Professor

Email :amitkumark@pestrust.edu.in

Educational Qualification :
Pursuing Ph.D (CMR University, Bengaluru),M.Tech (SJCE, Mysuru),B.E (BIET, Davangere)
Academic Experience :
15 Years

Amit Kumar K

Assistant Professor

Email :amitkumark@pestrust.edu.in

Educational Qualification :
Pursuing Ph.D (CMR University, Bengaluru),M.Tech (SJCE, Mysuru),B.E (BIET, Davangere)
Academic Experience :
15 Years

  • Image Processing
  • Machine Learning
  • Bio-Medical Image & Signal Processing
  • Artificial Intelligence.
  • “Augmented Intelligence enabled Deep Neural Networking (AuDNN) framework for skin cancer classification and prediction using multi-dimensional datasets on industrial IoT standards”. Microprocessors and Microsystems, Q2 Journal, Volume 97, 2023, 104755, ISSN 0141-9331.
  • “Trained neural networking frameworkbased skin cancer diagnosis andcategorization: A federated learningapproach”. SAGE journal, Concurrent Engineering: Research and Applications 2023, CERA Q2 Journal, Vol. 0(0) 1–9 © The Author(s) 2023.
  • “Harnessing the Power of Image Analysis and Machine Learning for Accurate Oncology Prognosis”, International Journal of Advances in Engineering and Management (IJAEM), Volume 5, Issue 4, pp:308-312, ISSN: 2395-5252.
  • “Augmented Reality Glasses for Skin Cancer Classification”, Journal No is 41/2022 and Journal Date is 14/10/2022.
  • “Device for Detection of Melanoma Skin Cancer using AI”, Journal No is 11/2023 and Journal Date is 17/03/2023.
  • “5G Enabled Device for Medical Services”, Journal No is 21/2023 and Journal Date is 26/05/2023.
  • “Impact of VLSI Design Techniques on Implementation of Parallel Prefix Adders” in International Conference on Soft Computing Systems ICSCS 2018, Springer Nature Singapore Pte Ltd. 2018 CCIS 837, Print ISBN 978-981-13-1935-8, Online ISBN 978-981-13-1936-5, pp. 473–482.
  • “A Novel Approach to Design Braun Array Multiplier Using Parallel Prefix Adders for Parallel Processing Architectures - A VLSI Based Approach” in International Conference on Soft Computing SystemsICSCS 2018, Springer Nature Singapore Pte Ltd. 2018 CCIS 837, pp. 602–614.
  • “Highly Robust and Efficient Random Feature Coordination Schema using DNN for Melanoma Skin Cancer Detection”, International Conference on Industry 4.0 Technology (I4Tech2022). Technically sponsored by IEEE Pune section and IMS Pune chapter, Vishwakarma Institute of Technology Pune, India.
  • “An Efficient Method to Minimize the Depth Estimation Error in Melanoma Skin Cancer Classification”, International Conference on Circuits, Control, Communication and Computing (I4C - 2022). Technically sponsored by IEEE Bangalore section, M S Ramaiah Institute of Technology, Bangalore, India.
  • “Electric Lineman Safety with Password based Circuit using Raspberry PI 3” in National Conference NCASRSEM – 2018.
  • Microcontroller and Embedded Systems
  • Analog & Digital Electronics
  • Computer Organization & Architecture
  • Operating Systems
  • Introduction to Python Programming
  • Microprocessors
  • Big Data Analytics
  • Analog Electronics
  • Fundamentals of CMOS VLSI
  • Basic Electron