Assistant Professor
Department of Computer Science and Engineering
CMR Institute of Technology
Bangalore
E-mail: dhivya.k@cmrit.ac.in
Mobile No:+91-9443956641
Assistant Professor
Department of Computer Science and Engineering
CMR Institute of Technology
Bangalore
E-mail: dhivya.k@cmrit.ac.in
Mobile No:+91-9443956641
Dhivya Kalaiselvan is an Assistant Professor in the Department of Computer Science and Engineering at CMR Institute of Technology, Bangalore. Her areas of interest include Blockchain Technology, Cybersecurity, Operating Systems, and Cyber Laws. She is passionate about teaching and aims to create a supportive and engaging learning environment.
She has over 2 years of teaching experience and has handled responsibilities such as Timetable Coordinator, ERP Coordinator, Scholarship Coordinator, and PTM Coordinator across her academic roles. Alongside teaching, she is actively engaged in research and innovation, with 3 patents filed and 2 research papers in AI, deep learning, and blockchain applications. She believes in connecting classroom learning with real-world applications to make education more meaningful for students.
CMR Institute of Technology, Bangalore
Assistant Professor | June 2025 – Present
Serving as Timetable Coordinator, responsible for preparation, allocation, and revision of class schedules.
Serving as ERP Coordinator, managing academic data entry, attendance, and internal assessment uploads.
Taught undergraduate courses in C Programming.
Currently teaching Software Engineering
Assistant Professor – East Point College of Engineering and Technology, Bangalore (Feb 2024 – May 2025)
Taught Python Programming, Operating Systems, Cybercrime & Cyber Laws
NAAC C5 Level Department Coordinator
Time Table Coordinator
Scholarship Coordinator
Parent-Teacher Meeting (PTM) Coordinator
Designed and delivered engaging lecture and lab sessions
Blockchain TechnologyÂ
Cryptography
Operating Systems
Artificial Intelligence
PREVIOUSLY HANDLED
Python Programming
Operating Systems
Cybercrime & Cyber Laws
Programming in C
CURRENTLY HANDLING
Software EngineeringÂ
C Programming Laboratory
Automatic Video Object Extraction Using Image Processing
Online Voting System Using Biometric Security and Steganography
NPTEL Certification in Cyber Security and Privacy
FDP Certifications in IoT, AI, Cybersecurity
NPTEL Silver Certifiaction in Introduction to IoT
CSI – Member (2-Year Term)
SCRS – Annual Member
Paper 1:
An Explainable and Computationally Efficient Deepfake Detection Framework Employing XGBoost for Image and Video Media
Presented at the 2025 1st International Conference on Advancement in Futuristic Technologies (ICAFT), IEEE Bangalore Section, 19–20 December 2025.
Paper 2:
FMM-DNN: A Fuzzy Min–Max Optimized Deep Neural Network for Accurate Breast Cancer Detection
Submitted to the 2nd International Conference on Sustainability, Innovation & Technology (ICSIT 2026).
Focus: Deep learning-based breast cancer detection using histopathological and mammographic images, achieving 98.74% and 97.86% classification accuracy on BreakHis and CBIS-DDSM datasets respectively, with Grad-CAM interpretability analysis.
Earlier Conference Presentations:
Online Voting System Powered by Biometric Security Using Steganography — Presented at M.P.N.M.J Engineering College, Chennimalai, 17-03-2012.
Automatic Video Object Extraction Using Image Processing — Presented at Nanda College of Engineering, Erode, 12-02-2014.
Patent 1
Artificial Intelligence Based Dynamic Evacuation Route Generation System Using Multi-Sensor Crowd Data Analysis
Application No. 202641087917 | Filed: 18 July 2026
An AI-driven system that dynamically generates optimal evacuation routes using real-time multi-sensor crowd data analysis for emergency response scenarios.
Patent 2
Adaptive Smart Pill Strip with Conductive Trace-Based Dose Monitoring and Compliance Verification System
Application No. 202641077196 | Filed: 23 June 2026
A smart medication strip using conductive trace technology to monitor dosage intake and verify patient compliance in real time.
Patent 3
Blockchain Based System for Automated Detection and Restriction of Unsafe Temperature Sensitive Medicines
Application No. 202541083199 | Filed: 2 September 2025
A blockchain-enabled framework for automatically detecting and restricting the use of temperature-sensitive medicines that have been compromised due to improper storage.