preethi.ise@cambridge.edu.in

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Dr. Preethi S

HoD & Professor

Department of ISE

Research Area

  • Medical Image Processing

Bio

Dr. Preethi S is a Professor and HOD in the Department of ISE. Her academic interests include Analog and Digital Electronics, Microcontroller and Embedded Systems, Computer Networks, Microprocessors, Machine Learning, Cryptography and Network Security.

She holds her Doctorate from Visvesvaraya Technological University, M.Tech degree in Computer Network Engineering from the Visvesvaraya Technological University and Bachelor of Engineering in Computer Science and Engineering from Bangalore University. She has participated in many faculty development programs, workshops and seminars held in CiTech and various other colleges.

She has around 21 years of teaching experience. She had worked as lecturer in SJCIT, Chikkballapur, Alpha College of Engineering, Brindavan College of Engineering and is associated with Cambridge Institute of Technology from July 2009.

Academic Degrees

  • Completed P.hD from VTU in February 2023.  
  • M.Tech. in Computer Network Engineering from VTU securing Distinction, 2008
  • Bachelor of Engineering in Computer Science and Engineering from Bangalore University with First Class, 2000.

Workshops/Seminars Attended:

Attended

    1. Participated in the workshop Embedded Systems – An Application Driven Approach organized by the AICTE, ATAL Academy, STMicroelectronics and Arm Education from 25th August 2021 to 27th August 2021.
    2. Participated in one week FDP on Amazon Web Services from 22nd August 2022 to 27th August 2022 organized at Cambridge Institute of Technology.
    3. Completed Digital 101 Journey from Future Skills Prime, NASSCOM on 6th March 2023.
    4. Completed Level 1 Training under Project eSaksham, a joint initiative of Ministry of Education, AICTE and CyberPeace Foundation.
    5. Participated in AICTE recognized Faculty Development Programme on Cryptography for Information Security conducted by Computer Science & Engineering Dept. from 9th May 2022 to 13th May 2022 at Cambridge Institute of Technology, K R Puram, Bengaluru.
    6. Participated in 2 day workshop on “Implementation of National Education Policy-2020 by Bapuji Institute of Engineering and Technology, Davangere in association with VTU, Belagavi on 10th and 11th December 2021.
    7. Participated in 5 day FDP in Quality Technical Paper Publication & Intellectual Property Rights” between 27th September 2021 and 1st October 2021 organized by Dept. of CSE, Atria Institute of Technology.
    8. Attended 2 days Educational Summit on “OBE & NAAC” organized by Mastersoft India in association with IQAC, Maharashtra Institute of Technology, Aurangabad on 14th and 15th May 2021.
    9. Attended and successfully completed the AICTE-ISTE approved Orientation/Refresher Programme on “Data structure and Algo using Python” held during 27th April 2021 to 4th May 2021 organized by Priyadarshini Institute of Engineering and Technology, Nagpur, Maharashtra.
    10. Participated in the Webinar “DevSecOps Lets start Part 1” on 12th May 2021 organized by CySeck.
    11. Completed 10 LinkedIn courses to enhance the skills in power point, Office 365, Graphic Design Presentation etc.
    12. Attended two weeks online FDP on “R Language & R Studio” organized by Spoken English IIT Bombay from 22nd June 2020 to 5th July 2020.
    13. Attended one week online FDP on “Arduino” organized by King Engineering College in association with Spoken English IIT Bombay from 1st June 2020 to 5/62020.
  • Participated in webinar “Path to Career in AI” organized by SWE CMRIT, Bengaluru on 26th June 2020.
  • Participated in one week distinctive webinar series on “Latest Trends in IT” organized by Sir. MVIT, Bengaluru from 12th May 2020 to 19th May 2020.
  1. Attended webinar on “Current trends in Data Science with Real World Application of AI & ML” organized by RCOEM, Nagpur on 8th May 2020.
  2. Attended webinar on “Millennial Gurus” held on 21st May 2020 organized by NCET, Bengaluru.
  3. Completed NPTEL Course “Introduction to Machine Learning” with 60% during July – October 2019.
  4. Attended 2 days Workshop on “Leadership Enhancement Programme” conducted by H R Dept., Cambridge Institute of Technology from 29th January 2019 to 30th January 2019.
  5. Attended FDP on “Internet of Things” organized by “Visvesvaraya Technological University”, regional office, Bengaluru on 24th January 2019.
  6. Worked as Coordinator for the workshop – “Cyber Security & Ethical Hacking” held from 28th September 2018 to 30th September 2018.
  7. Participated in 3 days “Python Programming-Faculty Development Program” held from 22nd to 24th January 2018, jointly organized by Dept. of CSE & ISE, under CSI-Citech Student Branch, Bengaluru Chapter, Division V, Cambridge Institute of Technology, Bengaluru. 
  8. Attended Six day workshop/Faculty Development Programme under TEQIP-II on “Advances and Research Challenge in the Applications of Artificial Intelligence in Gaming, Medical Imaging and bio-informatics from 18th to 23rd July 2016 , at MSRIT, Bengaluru.
  9. Participated in Research Methodologies and Latex organized by VTU e-learning center, Mysuru at B.L.D.E.A Dr. P G Halakatti college of engineering and Technology, Vijayapura from 18th Feb 2016 to 20th Feb 2016.
  10. Participated in the Faculty Enablement Program held at Infosys, Mysore from 30th January to 3rd February 2012. (Campus Connect).

Workshops/Seminars Organized:

Organized

  1. Organized and worked as Resource Person for the webinar “Microcontroller and Embedded Systems Laboratory: Refresher Course” held on 19th & 20th May 2021 by Dept. of CSE & ISE, Cambridge Institute of Technology, Bengaluru.
  2. Presented expert talk lecture series 2 (online) on “NBA SAR preparation” on 29th April 2021 at Dept. of CSE, Atria Institute of Technology, Bengaluru.
  3. Organized and participated webinar on “Cancer in Female: Awareness, Screening and Prevention” organized by CiTech, Bengaluru on 17th June 2020.
  4. Organized and worked as resource person for 3 days FDP on “Microcontroller and Embedded Systems” held from 16th December 2019 to 18th December 2019.
  5. Member of organizing committee for Workshop on “Cloud computing” held during 23-24 0f February 2011 at Cambridge Institute of Technology.
  6. Member of organizing committee for Workshop on “Mobile Application Development” held during 21-22 0f February 2011 at Cambridge Institute of Technology.
  7. Organized 3 days workshop on “Code Optimization in JAVA SE9” held from 19th September 2019 to 23rd September 2019.

Publication

  1. Qualitative and Quantitative data analysis using Classification and Ensemble techniques to optimize and predict the performance of reviews, EEE Conference on Advances in Electrical, Electronics and Computational Intelligence, 2023.
  2. Heart Disease Prediction Using Effective Machine Learning Techniques NCETETM- 2023.
  3. An Efficient Hybridization Approach for Tissue Segmentation and Classification in Brain MRI Images IJNRD © 2023 IJNRD | Volume 8, Issue 3 March 2023 | ISSN: 2456-4184 | IJNRD.ORG.
  4. Eggplant leaf disease detection and segmentation using adaptively regularized multi Kernel-Based Fuzzy𝐶-Means and Optimal PNN classifier IJCSE e-ISSN : 0976-5166 p-ISSN : 2231-3850 DOI : 10.21817/indjcse/2022/v13i5/221305073 Vol. 13 No. 4 Sep-Oct 2022
  5. Brain Tumor Detection by Modified Particle Swarm Optimization Algorithm and Multi-Support Vector Machine Classifier International Journal of Intelligent Engineering & Systems Vol.15, No.6, 2022 DOI: 10.22266/ijies2022.1231.10
  6. An efficient framework for secured data migration in hybrid cloud computing environment IJCRT, 7.97 impact factor Volume 9, issue 7
  7. An efficient wavelet-based image fusion for brain tumor detection and segmentation over PET and MRI image Multimedia Tools and Applications e-ISSN 1573-7721 p-ISSN1380-7501
  8. Combining Wavelet Texture Features and Deep Neural Network for Tumor Detection and Segmentation Over MRI Journal of Intelligent Systems Status: published De Gruyter
  9. Detection of Neovascularization on Optic Disk Region based on Kernalized Fuzzy C- Means and ANN Classifier” IJIRCCE vol5, issue5xx, May 2017
  10. Survey of Neo-vascularization on optic disk region IJIRCCE, Volume 5, Issue 3, March 2017
  11. Performing an Efficient auditing and deduplication data process of the cloud systems IJETCSE
  12. Combining left and right palm print images for more accurate personal identification IJIRCCE, Volume 4, Issue 4, April 2016

 

Industry Projects

 

Sl. No.

Project Title

Company

1

Corrupted Images

Samsung Prism

2

V178- ASR- English – Kannada Code Switched Spoken Language

Samsung Prism

Patent:

Title: AI & ML based plant leaf disease Classification for crop yield enhancement

Application Number: TEMP/E-1/10177/2022-CHE, 202241008818