Prof. SREEDEVI N
Department of Computer Science and Engineering,
CMR Institute of Technology,
Email: Sreedevi.n@cmrit.ac.in
google site: https://sites.google.com/a/cmrit.ac.in/sreedevi-n/home
Linkedin: https://www.linkedin.com/in/sree-devi-19009553
Google Scholar: https://scholar.google.com/citations?user=mji5GBkAAAAJ&hl=en
Professional Body Membership
Life Member-ISTE
Life Member-WRA
Annual Member -CS
Prof. Sreedevi N holds an M.Tech. degree in computer science and engineering from JNTU, Hyderabad. Presently pursuing Ph.D. in the School of Computer Science and Information Engineering (SCORE) at VIT, Vellore , she has submitted her thesis, had her thesis approved by examiners, and is waiting for the viva voce exam. She has 25 years of teaching experience. Her areas of interest include computer organisation and architecture, microprocessors and microcontrollers, Internet of Things, operating systems, data structures, design and analysis of algorithms, data communication and computer networks, artificial intelligence and machine learning.
EDUCATIONAL QUALIFICATION
PhD – Pursuing in the area of "Multi-criteria decision analysis and machine learning for landslide assessment" at SCORE, VIT, Vellore.
M.Tech (CSE) – JNTU Hyderabad.
BE(CSE) – Bangalore University.
PUBLICATIONS
Attribute-based encryption for scalable and secure sharing of medical records in cloud computing design and implementation. BR Madnani, N Sreedevi
.A Study on Accident Detection Systems Using Machine Learning,S Savitha, N Sreedevi
Landslide hazard zonation mapping using power method based AHP for Saklespur, India, N Sreedevi, J Karthikeyan
Different techniques for landslide zonation mapping and landslide assessment: a review, N Sreedevi, K Yarrakula
Landslide Hazard Zonation Mapping Using ML Techniques–A Study Over Kodagu District, Karnataka, S Narayana, K Jayaraman
Application of Multi Criteria Decision Making Techniques on Landslide Hazard Zonation mapping ,S Narayana, K Jayaraman
Attention-Enhanced Deep Learning With AI-Driven Decision Making For 5G Slice Classification And Resource Allocation In Environmental Monitoring Systems ,JNM Purushottam Kumar Arya, 2Anshika Agarwal,3Sangita Chakraborty Bagchi ..
Ccognitive Framework to Identify Women Empowerment using Swarm Enhanced Neural Networks Article Sidebar ,NM Sreedevi N, Swapna Pillai, Saroj P. Dhake, Umesh U, Hari Kumar Barri, A ..
Influence of Climatic Conditions on Spread of Covid’19-An Analysis using Machine Learning Methods ,sreedevi N
Analysis of CNN leaf-based disease Classification on different plant species by sequential & densenet Learning model ,AMB Savitha S1, Sreedevi N 2, Nithin Kumar M3, Mohammad Abdussamad4
PATENTS
Covid-19 safety cane for visually impaired , Application No. 202041042174, published on 1-4-2022.
Automated touchless door alarm with non-contact temperature sensing and distance monitoring system Application 202041041855, published on 1-4-2022.
Battery comb with warm oil dispenser Application No. 202041042226 , published on 1-4-2022.
Music recommendation system for visually impaired people Application No. 202241031354 , published on 8-Dec-2023
Smart teaching assistant for empathetic teaching in classrooms, Application No. 202241036069 , published on 01/06/2022
Landslide detection system using iot Application No. 202341041476 , published on 15/09/2023.
3D visualizer apparatus with software system for 3D computer-generated graphic Application No. 202341041464 , published on 1-4-2022.
A smart therapeutic varicose management system application, No. 202541063877, was filed on 04/07/2025.
AWARDS and ACHIEVEMENTS
GATE 2002 qualified , percentile 90.12
Service Award – 5 years CMR Institute of Technology, 2023
Faculty Award toward ‘Initiatives of Excellence’, CMR Institute of Technology, 15 July 2022.
Received Best Teacher Award, 2010
ROLES AND RESPONSIBILITIES
Department Newsletter Editor: 2021, 2022, 2023, 2025
Department Alumni Coordinator: 2023, 2024, 2025
Department Minutes of the Meeting Coordinator: 2021, 2022, 2023
NBA Criteria-IV Head: 2019
Class Teacher: 2020-2025
PG Coordinator: 2017, 2018, 2019, 2020
Technical seminar coordinator: 2020 2021
Techtalk coordinator: 2018, 2019, 2020
EVENTS ATTENDED
Attended a 6-day workshop on mobile app development at CMRIT.
Attended a 6-day workshop on Machine learning and Contributed to the preparation of Machine Learning Lab Manual
Attended a two days FDP on Mobile App Development at the Cambridge Institute of Technology, Bangalore.
Was a resource person for a 6-day workshop on mobile application development at CMRIT.
Attended a 6-day workshop on " Analog and Digital electronics and Micro controllers "Dept of CSE, CMRIT.
Attended a one week workshop on IPR and patent drafting, CMRIT, 24th July-30th July.
Attended 6 days FDP on Full stack development at CMRIT.
Participated in a 6 day workshop conducted by AICTE on Universal Human Values.
Attended Atal FDP Data Science tools for secure cloud computing
Attended AICTE-VTU FDP on IOT technology
PROJECTS
Mega Project : Newsletter Builder, 2024
Preethi Sheba Hepsiba, Sreedevi N
Student Team: Raghav Reddy R, Koppala Rakshith
COURSES HANDLED
2025-26 ODD SEMESTER
Internet of Things – VII semester
Parallel Computing – VII semester
IOT – lab: VII semester
DDCO-lab: VII semester
2024-25 - EVEN SEMESTER
Design and analysis of algorithms – III semester
Design and analysis of algorithms lab – III semester
