Currently an Associate Professor in Electronics and Communication Engineering in College of Engineering Kuttanad (CUCEK). Joined CUCEK on 5th February 2003 and has about 27 Years of overall experience in teaching. Actively involved in teaching and research for the past several years. Research interest includes Image Processing, Medical Image Processing, Computer Aided Diagnosis, Image Analysis, Microwaves & Antennas etc. Took B.E in Electronics & Communication Engineering from Mangalore University in 1992 and MBA with specialization in HRM from IGNOU in 2000. Obtained M.Tech degree in Electronics (Microwave & Radar) from Dept. of Electronics, CUSAT in 2010 and Ph.D. from CUSAT under the Faculty of Engineering on the topic "Automated Detection and Classification of Leukaemia by Image Processing and Deep Learning Techniques".

Computer Aided Diagnosis, Deep Learning, Image Processing & Analysis, Machine Learning, Medical Image Processing

Publons	:	https://publons.com/researcher/3713757/anilkumar-k-k/
Scopus	:	https://www.scopus.com/authid/detail.uri?authorId=24823925500
Google Scholar	:	https://scholar.google.com/citations?user=lOAAN60AAAAJ&hl=en

Compact high isolation MIMO antenna array for 6G application (0.1–10 THZ), Australian Journal of Electrical and Electronics Engineering, Taylor & Francis 2024

A review on leukemia detection and classification using Artificial Intelligence-based techniques, Computers and Electrical Engineering, Elsevier Vol. 118, 2024

Design of proximity-coupled antenna array for 5G communication, International Journal of Communication Systems, Wiley 2023

A review on Computer Aided Detection and Classification of Leukemia, Multimedia Tools and Applications, Springer 2023

Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison, Medical Engineering & Physics, Elsevier Vol. 98, 2021

EFFICACY OF CIELAB AND CMYK COLOR SPACES IN LEUKEMIA IMAGE ANALYSIS: A COMPARISON BY STATISTICAL TECHNIQUES, BIOMEDICAL ENGINEERING: Applications, Basis and Communications, World Scientific 2021

Automated Detection of B Cell and T Cell Acute Lymphoblastic Leukaemia Using Deep Learning, IRBM, Elsevier 2021

A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia , Biocybernetics and Biomedical Engineering, Elsevier Vol. 40, 2020

A Review on Automated Detection of Acute Myeloid Leukemia, International Conference on Trends in Engineering Systems and Technologies (ICTEST),, 2024

Automated Segregation of Lymphoid and Myeloid Blasts in Acute Leukemia Cases Using Deep Convolutional Neural Network, 4th International Conference on Communication and Computational Technologies, 2022

Colour based Image Segmentation for Automated detection of Leukaemia: A comparison between CIELAB and CMYK colour spaces, IEEE International Conference on Circuits and Systems in Digital Enterprise Technology, 2018

Assessment of overall satisfaction level of students in a Technical institution, IEEE Explore -International conference on Engineering Education -AICERA 2012 , 2012

Permittivity calculator using Cavity Perturbation method, National conference on “Emerging Trends in RF & Signal Processing” , 2010

Automated Network Analyzer Measurements for Cavity Perturbation Method, International Conference on System Dynamics and Control (ICSDC)2010, MIT Manipal , 2010

Resource Person for FDP from College of Engineering Perumon, in the year 2016

Resource Person for FDP from CUCEK, in the year 2018

Session Chair - Robotics, Internet of Things (IoT) and Control System from IEEE World Conference on Applied Intelligence and Computing (AIC 2022), in the year 2022

Session Chair - Intelligent Data Analytics and Computing from 4th International Conference on Communication and Intelligent Systems (ICCIS 2022), NIT Delhi, in the year 2022