DEPARTMENT OF COMPUTER APPLICATIONS

Dr. Jose Reena K

Designation:Assistant Professor
Nature of Employment:Regular
Qualification:MCA., ME., M.Phil., Ph.D.,
Phone: 
Email ID:josereena@crescent.education

Teaching

Educational Background

DegreeDisciplineYear of PassingUniversity/ Board
Ph.D.Computer Science2022Vels Institute of Science, Technology and Advanced Studies
M.Phil.Computer Science2016Thiruvalluvar University
M.E.Computer Science2011Anna University
M.C.AComputer Applications2009Anna University

Work Experience

Organization / InstitutionDesignationPeriodExperience in Years
B.S. Abdur Rahman Crescent Institute of Science & TechnologyAssistant Professor3rd July 2024 to Till Date
Vels Institute of Science, Technology and Advanced StudiesAssistant ProfessorSep 2022 to June 20241 year 9 months
TMG college of Arts and ScienceAssistant ProfessorJune 2016 to June 20226 years
Meenakshi College for womenAssistant ProfessorAug 2013 to April 20148 months
Total Experience8 years 5 months

Research Summary

Journal Article PublishedPublished 5 scopus
Conference Papers3 International Conference Journals

Research

Publications

  • Jose Reena  K, C. Nigam, G. Kirubasri, S. Jayachitra, A. Aeron and D. Suganthi, “Real-Time Object Detection on Edge Devices Using Mobile Neural Networks,” 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India, 2024, pp. 1-4, doi: 10.1109/IITCEE59897.2024.10467220
  • Jose Reena K, IoT Based Polyhouse Farming with Controlled Environment and Monitoring, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 11, Issue 12 (December 2022),
  • K. Jose Reena and R. Parameswari, “Improved Gait Pattern Analysis Using Augmented Long Short-Term Memory in Neural Network for Classification”, RSRI Conference on Theoretical and Applied Science proceedings in AIP Conference Proceedings Journal Publication ,2022
  • K. Jose Reena and R. Parameswari, “IOT Based Health Tracking Shoe for Elderly People Using Gait Monitoring System,” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021, pp. 1701-1705, doi: 10.1109/ICACCS51430.2021.9441754.
  • K. Jose Reena and R. Parameswari, “Performance analysis of various pre-processing techniques in gait assessment”, Solid State Technology Volume: 63, Issue: 6   Publication Year: 2020
  • K. Jose Reena and R. Parameswari, “Smart home elderly patient monitoring framework based on patients’ gait data using robot motion design and learning approach”. JCR. 2020; 7(5): 2318-2327. doi:10.31838/jcr.07.05.396
  • K. Jose Reena and R. Parameswari, “Impact of IoT on Indian Healthcare and study of various algorithms to Secure the Patient’s data” Page No:405-410, ISSN NO:0886-9367 DOI:18.0002, IJAEMA, 2020. V12I7.200001. 015685900132
  • K. Jose Reena and R. Parameswari, “A Smart Health Care Monitor System in IoT Based Human Activities of Daily Living: A Review”
     International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India, 2019, pp. 446-448.
  • G Manimannan, RL Priya, K Jose Reena, SK Priya “Climate Changes of Tamilnadu Based on Rainfall Data Using Data Mining Model Evaluation and Cross Validation”, IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 20, Issue 3, Ver. II (May. – June. 2018), PP 32-38
  • Jose Reena K and  P Anjugam “Intensifying The Security In RFID Systems” Compusoft 4 (11), November 2015,Volume 4 ,Issue 9, ISSN:2320-0790

Books

  • Big Data and Analytics with Case Studies, August 2023 ISBN: 978-9357472272 , Iterative International Publishers IIP
  • Deep Learning Techniques, ISBN: 9789357570879,SPH Publishers

Patents

  • Design and Analysis Of Astute Iot Based Gait Monitoring System Using ALSTMNN Classification Algorithm For Geriatric Healthcare. Filed 2022-04-04  Published 2022-04-22 
  •  An AI based system for providing a multibranched blockchain with configurable protocol rules. Filed 26.11.2022  Published 23.12.2022
  • Comprehensible artificial intelligence to assess corporate security operations using EEG data within IoT framework. Filed :28/02/2023  Published 17/03/2023.

Achievements

  • During the academic published 10 journals in various publications.
  • Attended more than 50 Faculty development program.
  • Life time Member of Computer Society of India.
  • Completed Course in Green Technologies – “Python with IoT”, Sep 2019
  • Completed Course in   INSAID  “Certificate in Data Science Foundation (CDF)”, July 2021
  • Completed SWAYAM online course on Entrepreneurship: Do your Venture, offered by NSRCEL IIMB,2020
  • Article reviewer for International Journal of Engineering Research & Technology and Bulletin of Electrical Engineering and Informatics.