Summary
Overview
Work History
Education
Skills
Communication Address
Research Publications
Fdps Workshops Training Conducted
Achievements And Awards
Technical Knowledge
Personal Objective
Orcid Id
Scopus Id
Languages
Projects
Training
Areas Of Interest
Personal Information
Timeline
Generic
Dr. Nisha A. V

Dr. Nisha A. V

Associate Professor and HOD
Kollam,KL

Summary

Accomplished professional specializing in enhancing organizational effectiveness via strategic thinking and creative solutions. Proven track record of motivating teams and achieving project goals with measurable impact. Recognized for cultivating a cooperative workplace culture and focus on continuous enhancement.

Overview

20
20
years of professional experience

Work History

Head of Department & Associate Professor

Younus College of Engineering and Technology
Kollam
01.2006 - Current
  • IEEE Students Branch Councilor
  • Academic committee member
  • Member of Exam cell
  • Member of many non-academic committees and organized industrial visits for students.
  • University question paper setter and scrutiny committee member.
  • Accomplished academic advisor.
  • Challenged and motivated students through in-depth lectures and discussions.
  • Conducted lectures and prepared material for graduate and undergraduate students.
  • Communicated effectively with students from diverse backgrounds.
  • Inspired students to translate their academic interests into real world by taking positive actions.

Education

PhD - Medical Imaging

Kalasalingam Academy of Research and Education
01.2025

M.E - Applied Electronics

Anna University
Chennai, India
01.2013

B.E - Electronics and Communication Engineering

Anna University
Chennai, India
01.2005

Plus 2 -

Board of Iligher Secondary Examinations
Neyyattinkara, Kerala, India
01.2001

Secondary School Leaving Certificate -

General Education Department
Neyyattinkara, Kerala, India
01.1999

Skills

  • Python
  • Verilog
  • C
  • C
  • Matlab
  • Xilinx
  • EdwinXP
  • PROTEUS
  • LT Spice
  • Adobe Photoshop
  • Microsoft Office XP/2010
  • Windows
  • Ubuntu
  • Digital System Design
  • Image Processing
  • Spice lab
  • I Verilog
  • Electronics workshops
  • Microcontroller
  • Medical imaging
  • Academic advising
  • Team leadership
  • Project management
  • Effective communication
  • Decision-making
  • Research
  • Microsoft office
  • Organizational skills

Communication Address

Navaneetham, Thekkumkara, Pullichira P.O, Mayyanad, Kerala, 691304, India

Research Publications

  • Hybrid D-OCapNet: Automated Multi-Class Alzheimer's Disease Classification in Brain MRI Using Hybrid Dense Optimal Capsule Network, A.V. Nisha, M.P. Rajasekaran, R. Kottaimalai, G. Vishnuvarthanan, T. Arunprasath, V. Muneeswaran, International Journal of Pattern Recognition and Artificial Intelligence, 37, 15, 2356025, 2023, 10.1142/S0218001423560256
  • Rider Cat Optimized Alzheimer's Disease and MCI Prediction Using Deep Attention BILSTM and CRDF, A.V. Nisha, M.P. Rajasekaran, R. Kottaimalai, G. Vishnuvarthanan, T. Arunprasath, V. Muneeswaran, IETE Journal of Research, 1-15, 2025
  • Metaheuristic-Enhanced Deep Learning Model for Accurate Alzheimer's Disease Diagnosis from MRI Imaging, Nisha A.V., M.P. Rajasekaran, R. Kottaimalai, G. Vishnuvarthanan, T. Arunprasath, V. Muneeswaran, R.K. Priya, International Journal of Intelligent Systems and Applications, 17, 1, 70-87, 2025, 10.5815/ijisa.2025.01.05
  • Thankachan, A. P., Beegum, J. D., Geevarghese, P. A., Rajeev, S. K., & Nisha, A. V. (2025, August). Diabetes Disorder Diagnosis and Management Using AI: A Comprehensive Review. In 2025 8th International Conference on Circuit, Power & Computing Technologies (ICCPCT) (pp. 1856-1860). IEEE.
  • Artificial Intelligence based Neurodegenerative Disease Diagnosis and Research Analysis using Functional MRI (FMRI): A Review, 3rd IEEE ICAC3N, 446-450, 2021
  • Advancements in AI-Based Alzheimer's Disease Classification Using MRI: A Comprehensive Review, 4th IEEE ICSES, 742-749, 2024
  • SGD-DABILSTM based MRI Segmentation for Alzheimer's Disease Detection, 4th IEEE ICAC3N, 1163-1169, 2022
  • Alzheimer's Disease Detection and Classification Using Modified Ilybrid CNN-LSTM Network, 6th IEEE ICMCSI, 777-784, 2025
  • Mammogram analysis using convolutional neural network, ICETET-19, May, 2019
  • Diabetic Macular Edema Detection by Artery/Vein Classification using Neural Networks, IJETR, July, 2015
  • A Biometric Authentication System using VPR Technology, NCETET, 2014
  • Diabetic Macular Edema Detection by Artery/Vein Classification using Neural Networks, RITAM, 04/07/15
  • Finger Vein Authentication for ATM transactions, SCET, 02/2013

Fdps Workshops Training Conducted

  • First year induction program, 08/11/25 to 08/20/25
  • Workshop on Industry Automation, August, 2025
  • Rebooting teaching strategies, 2025, Dr. Achuth Sankar S Nair
  • Training talk section, Mr. Muhammed Nabasheer, Project Engineer, Amailipol International Establishment Abudhabhi, January, 2025
  • IEEE training programs for first year students, 2025
  • Training programs for first year's students, 2024
  • Training program for IEEE members and first years, Dr. Jithin K. Jose

Achievements And Awards

  • Reviewer for SCI and Scopus journals
  • Best Teacher Award, ECE Dept. (2023)
  • Eminence Award, YCET (2024)
  • Eminence Award, YCET (2025)

Technical Knowledge

Python, Verilog, C, C++, Matlab, Xilinx, EdwinXP, LT Spice, Adobe Photoshop, Microsoft Office XP/2010, Windows 7, Windows 8, Windows 10, Ubuntu, Logic Circuit Design, Image Processing, Spice lab, I Verilog, Electronics Workshops, Microcontroller

Personal Objective

Driven and innovative professional with a passion for cultivating excellence and fostering a collaborative work culture. Adept at leveraging knowledge and enthusiasm to enhance organizational performance while inspiring and empowering colleagues. Committed to exceeding challenges through dynamic problem-solving and forward-thinking approaches, delivering impactful results that contribute to both project success and team growth. Recognized for dedication to innovation, continuous improvement and creating a lasting positive influence in professional environments.

Orcid Id

https://orcid.org/0009-0005-5767-8167

Scopus Id

57547122400

Languages

  • Malayalam
  • English
  • Tamil
  • Hindi

Projects

PhD Thesis, Advanced Artificial Intelligence Architectures and Optimization Techniques for Alzheimer's Disease Detection and Classification Using MRI. 

Main Project, M.TECH, Finger Vein Authentication for ATM transactions, MATLAB 2010, To obtain an accurate biometric recognition system for security purposes in ATM transactions. 

B.TECH, Multiprotocol Communication Controller, The project aims at developing a communication card which converts the speed covered by ship into various standards and protocols.

Training

  • Next-Gen AI Training: FDP on Models, Methods and Machines, Rajiv Gandhi Institute of Technology, 08/18/25 to 08/23/25
  • Vehicle Electrification: future mobility trends, Sahrdaya college of engineering and technology, 01/27/25 to 02/01/25
  • Recent Trends In Biomedical Applications Using AI, St. Peters Institute of Higher Education and Research, Avadi, Chennai, 01/29/24 to 02/02/24
  • Artificial intelligence and machine learning in signal processing, SCMS school of Engineering and technology, March, 2024
  • Accreditation and Outcome Based Learning, 08/2024 to 10/2024
  • Mathematical foundations for communication and machine learning, Department of ECE, TKMCE, 01/2023 to 02/2023
  • Machine learning and signal processing for biomedical applications, Department of ECE, TKMCE, January, 2023
  • Mathematical and statistical approach to data science and machine learning, Department of computer science and information technology, Kalasalingam academy of research and Education, July, 2022
  • Concept coaching, ICT academy, September, 2022
  • Recent trends in Artificial Intelligence and Machine learning, Ahalia school of Engineering and Technology, Palakkad, July, 2021
  • Innovation incubation and research challenges in India, Younus college of Engineering and technology, June, 2021
  • AI Applications in Biomedical Engineering, NIT, Calicut, August, 2021
  • Faculty development program on Artificial intelligence and deep learning, Department of Electronics and Communication Engineering, Kalasalingam academy of research and education, January, 2021
  • Machine learning in Medical Image Processing, Kathihar Engineering College, September, 2021
  • Bio medical Instrumentation and Signal processing, TKM College of Engineering, Kollam, January, 2020
  • Know everything related to research, Ilahia college of Engineering and Technology, July, 2020
  • NAAC Awareness Program for Faculty, MMIT, May, 2020
  • Recent trends in material frontiers, St Joseph's college of engineering and technology, May, 2020
  • Security Aspects in Communication Systems, College of Engineering, Perumon, Kollam, July, 2019
  • Mathematical foundation for Communication Engineering, TKM college of engineering, Kollam, January, 2019
  • Quality Assurance in Higher Education, YCET, Kollam, December, 2018
  • Recent trends in Biomedical Signal and Image Processing, TKM College of Engineering, Kollam, July, 2016
  • Internet of Things, YCET, Kollam, December, 2016
  • Effective Teaching Methodology, YCET, Kollam, December, 2013
  • Image Processing and Application, SCT College of Engineering, July, 2008
  • Embedded systems using Raspberry Pi, YCET, Kollam, December, 2020
  • Email marketing, computer society of computer society of India VVIT Chapter, May, 2020
  • Mathematical model on infectious diseases, Patrician college of arts and science, Chennai, May, 2020
  • Introduction to design of experiments, AEC, 2020
  • Arduino board findings, JPCAS, June, 2020
  • Welding of shape memory alloys, Department of Mechanical Engineering in association with MECON and SAEKRCT, May, 2020
  • Basic electronics and digital logic gates, JPCAS, June, 2020
  • Test your programming skills, Hindustan college of arts and science, 2020
  • Embedded systems and IOT, Department of ECE and Institutions innovation council of SRIET, July, 2020
  • Basic electronics, PES institute of technology and management, June, 2020
  • Data science using python, Amritha college of Engineering and Technology, June, 2020
  • QUADS, Department of Mechanical Engineering, Kottayam institute of technology and science, 2020

Areas Of Interest

  • Biomedical Engineering
  • Biomedical Instrumentation
  • Medical Imaging and Image Processing
  • Soft Computing
  • Artificial Neural Networks
  • Digital Electronics
  • Solid State Devices
  • Digital System Design
  • Embedded System
  • Deep Learning
  • Machine Learning

Personal Information

  • Hobbies: Music, Drawing, Sports, Travelling
  • Passport Number: F 4897462
  • Father's Name: Mr. R. Vidyadharan
  • Date of Birth: 04/24/84
  • Gender: Female
  • Nationality: Indian

Timeline

Head of Department & Associate Professor

Younus College of Engineering and Technology
01.2006 - Current

PhD - Medical Imaging

Kalasalingam Academy of Research and Education

M.E - Applied Electronics

Anna University

B.E - Electronics and Communication Engineering

Anna University

Plus 2 -

Board of Iligher Secondary Examinations

Secondary School Leaving Certificate -

General Education Department
Dr. Nisha A. VAssociate Professor and HOD