Dr. Amit Kumar K

Dr. Amit Kumar K

Position: Assistant Professor

Educational Qualification

B.E – Electronics and Communication Engineering

M.Tech – VLSI Design and Embedded Systems

Ph.D – Image Processing

 

Experience

15 Years (Teaching)

Area of Interest

Image Processing, Machine Learning and Deep Learning, CMOS VLSI Design

 

Professional Membership

Life Membership of IFERP: 61207021

Life Membership of IAENG: 294793

 

Orcid ID

0000-0002-2065-3557

Publons ID

GWU-6490-2022

Scopus ID

58065744800

Google Scholar ID

hb7aMjoAAAAJ

Vidwan ID

290943

 

Subjects handled

  • Microprocessors and Microcontrollers
  • Analog and Digital Electronics
  • Digital System Design and Computer Organization
  • Microcontroller and Embedded Systems
  • Fundamentals of CMOS VLSI

 

Workshop/FDP/STTP Attended

25

 

Conferences Attended

  • IEEE Conference: “Highly robust and efficient random feature coordination schema using DNN for melanoma Skin Cancer Detection” presented in the conference title “International Conference on Industry 4.0 Technology 2022 (I4Tech2022), Pune” Date of Conference 23rd & 24th September 2022.
  • IEEE Conference: “An Efficient Method to Minimize the Depth Estimation Error in Melanoma Skin Cancer Classification”, in the conference title International Conference on Circuits, Control, Communication and Computing (I4C – 2022) Date of Conference 21st – 23rd December 2022.
  • International Journal on “Harnessing the Power of Image Analysis and Machine Learning for Accurate Oncology Prognosis” in International Journal of Advances in Engineering and Management, Volume 5, Issue 4, pp:308-312, ISSN: 2395-5252.
  • International Conference: Presented a paper titled “Prediction and Management of Traffic Congestion using Machine Learning” in International conference on “Recent trends in Computing and Communication Engineering” (ICRTCCE-2024) organized by Department of Wireless Communication, SIMATS School of Engineering, Chennai, Tamil Nadu held on 23rd March 2024.
  • International Conference: Presented a paper titled “Plug and Play: The Accessibility of Mobile Charging Stations for Our Electric Vehicle” in International conference on “Recent trends in Computing and Communication Engineering” (ICRTCCE-2024) organized by Department of Wireless Communication, SIMATS School of Engineering, Chennai, Tamil Nadu held on 23rd March 2024.
  • International Conference: Presented a paper titled “Real Time Detection and Prediction of Agricultural Land Degradation from Urbanization Intrusion using Satellite Imagery” in 2nd International conference on “Emerging Areas in Science, Technology-2023” (ICEAST-2023)- In collaboration with ICT Academy on 24th and 25th March 2023 at KLS VDIT, Haliyal.
  • International Conference: Presented a paper titled “Oncology: Prognosis Using Image Processing and Machine Learning” in 2nd International conference on “Emerging Areas in Science, Technology-2023” (ICEAST-2023)- In collaboration with ICT Academy on 24th and 25th March 2023 at KLS VDIT, Haliyal.
  • National Conference: Presented a paper “Electric Lineman Safety with Password based Circuit using Raspberry PI 3” in National Conference NCASRSEM – 2018 held at PESITM, Shivamogga.

Journals Published 

  • Q1 Journal: “Trained Neural Networking Framework based Skin Cancer Diagnosis and Categorization using Grey Wolf Optimization”, in the Scientific Reports Nature Journal.
  • Q2 Journal: “Augmented Intelligence enabled Deep Neural Networking Framework for Skin Cancer Classification and Prediction Using Multi-Dimensional datasets on Industrial IoT Standards” in Elsevier Microprocessors and Microsystems. Elsevier Journals with an Impact Factor 3.503.

Patent details

  • Design Patent on “Augmented Reality Glasses for Skin Cancer Classification”.
  • Design Patent on “Device for Detection of Melanoma Skin Cancer using AI”.
  • Design Patent on “5G-Enabled Device for Medical Services”.