Er. Preena Prasad

Designation: Asst. Professor (Senior)

Education:  B.Tech, M.E

Professional Experience
Teaching  : 13.6yrs

Patent: 2

Publication  

International Journals

1. Prasad, Preena, Valer Niminet, and J. Anitha. “A Hybrid Approach for CT-MR Brain Image Denoising Using PSO-Optimised Non-Local Means and Wiener Filtering.” BRAIN. Broad Research in Artificial Intelligence and Neuroscience 15.4 (2024): 87-103.
2.  ‘Survey on Artificial Neural Network in solving problems of real time application dealing with Image Processing and Pattern Recognition ‘ , International Journal of Science and Innovative Engineering & Technology(IJSIET) , May 18
3.  ‘A Novel Architecture Design & Characterization of CAM Controller IP Core’ International Journal of Electronics & Information Technology vol. 3, Issue.4, October – December, 2012
4.  ‘An Efficient System for the Safety and Reliability of Railways’ CiiT international Journal of Programmable device circuits and systems June 2011 issue
5. ‘Multisensory System for Obstacle Detection and Location on Railways’, CiiT international Journal of Programmable device circuits and systems Volume 3 February 2011 issue

International Conference

1. Prasad, Preena, J. Anitha, and Divapriya Anil. “A systematic review of noise types, denoising methods, and evaluation metrics in images.” 2023 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE). IEEE, 2023.
2. Prasad, Preena, J. Anitha, and Blesson Biji. “Performance analysis of non-local means denoising on medical images and the impact of filter parameter variation.” 2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET). IEEE, 2024.
3. Prasad, Preena, and J. Anitha. “Non-local means denoising of CT, MRI and US images: An investigation of performance under varying noise levels.” AIP Conference Proceedings. Vol. 3168. No. 1. AIP Publishing, 2024.
4. Prasad, Preena, et al, et al. “Real Time Indoor Object Detection Aid for Blind.”
5. Prasad, Preena, et al. “Automated Security System for Automobiles.” (2020).
6. Face Recognition and other techniques ‘ in 1st International conference on Recent Scientific Research  in Engineering and Technology at John Cox Memorial CSI Institute of Technology(JIT), Tvm & Techown on 22nd March, 2019
7. ‘CMOS DNA Sequencing Arrays- A Gateway to Advanced DNA Computing’ in the International Conference on Wireless Communications Signal Processing and Networking(WiSPNET2017)
8. ‘Home Automation using IoT’ in National Conference on Recent Trends in Engineering & Technology (NCRTET 2017)
9. Presented a paper in International Conference On Information Communication & Embedded Systems at S.A Engineering College ,February 2011

National Conference

1. Published a paper titled ‘Efficient System for Obstacle Detection and Location on Railways’ NCRTSS’11 Christian College Of Engineering And Technology, March 2011
2. Published a paper in NECCT 2011 held at Kongu Engineering College, March 2011

Participations

Workshop/Seminars Attended

1. 7 Day National level Online Faculty Development Program on Outcome Based Education and Essential AI Tools for Teachers organized by The Internal Quality Assurance Cell (IQAC) and The Department of Computer Science, St. Albert’s College (Autonomous), Ernakulam, in association with The Kerala State Higher Education Council (KSHEC)
2. 2-Day Faculty Development Programme on Cracking the Code to High Impact Publishing jointly organized by the Division of Electronics and Communication Engineering & KITS IEEE Student Branch 31061.
3. 5-Day Faculty Development Programme on Pixels to Prediction: Machine Learning in Medical Imaging organized by VIT.
4. 5-Day Faculty Development Programme on Optimization Techniques for AI/ML/DS Models organized by IIT Kottayam.
5. 5 days’ short term training programme for faculties and research scholars on “Image Processing and Deep learning using MATLAB” – requirements of Deep Learning with MATLAB conducted by MathWorks Training Services
6. 5 days’ short term training programme for faculties and research scholars on “Image Processing and Deep learning using MATLAB” – requirements of Image Processing with MATLAB conducted by MathWorks Training Services
7. 5 days’ short term training programme for faculties and research scholars on “Image Processing and Deep learning using MATLAB” – requirements of MATLAB Fundamentals conducted by MathWorks Training Services
8. Webinar by IUCEE Sponsor Mathworks on Teaching and Learning with MATLAB and Simulink
9. 5 days training programme for faculties and research scholars on “MathWorks training on Machine Learning with MATLAB, Control System Design with MATLAB and Simulink, and Embedded Coder”
10. One day workshop on Mentoring
11. 6 days Intensive FDP on “Computational Research Techniques using MATLAB(CRT 2018)” organised by E&ICT Academy, NIT Warangal
12. National Instruments LabVIEW Training at Saintgits College of Engineering July 2018
13. Faculty Development Program on  “Machine Learning” organised by CSE Department June 2018
14. FDP on “Renewable Energy Conversion and Management” sponsored by KTU and organised by the Department of ME, Saintgits April 2018.
15. KSCSTE sponsored 2 day workshop on “Research Methodology, Writing Practices, Language & Soft Skills” organized by the Department of ECE in association with IETE
16. Online non-credit course on Neural Networks and Deep Learning authorized by deeplearning.ai
17. 3 day workshop on IEEE-ISTE sponsored Faculty Training program on “Exploring IoT Applications with Raspberry Pi” Jan 2017 at Amal Jyothi College of Engineering
18. 6 days workshop on “Role of VLSI & Embedded Systems in Next Generation Wireless Technologies”in association with Entuple Technologies, Bangalore & Pantech ProEd Pvt Ltd., Chennai  Dec 2016

As resource Person

1. Resource person of Addon course on  Matlab for B.Tech students.

Events Organized

1. Co-ordinator of KSCSTE sponsored 2 day workshop on “Research Methodology, Writing Practices, Language & Soft Skills” organized by the Department of ECE in association with IETE
2. Co-ordinator of Workshop on “Fast and Effective Embedded Systems Design” for S5 (2015-2019 Batch) and S7 (2014-2018 Batch) students in association with IETE Students’ Forum (ISF)
3. Co-ordinator of Project competition for First Years EC (2024-28 ) in association with IEI
4. Co-ordinator of Project competition for Second Year EC, ER (2023-27 ) 

Membership

• Life member of ISTE

Research Interest

• ML, DL
• Image processing
• Video Processing 
• Embedded Systems