Mr. Prasath. B
Qualification : M.E., (Ph.D.) (Anna University)
Designation : Asst. Professor
Email: [email protected]
Details of Educational Qualification:
| Course | Specialization | Branch | Institute / University | Year of Passing |
|---|---|---|---|---|
| Ph.D. | Information and Communication Engineering | Information and Communication Engineering | Anna University | Thesis Submitted |
| M.E. | Network Engineering | Network Engineering | Anna University of Technology | 2011 |
| B.E. | CSE | CSE | CSI College of Engineering, Anna University | 2008 |
Research Areas:
- Computer Vision, Deep Learning, Machine Learning
Research Identifiers:
- Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57205443731
- Vidwan Link: https://vidwan.inflibnet.ac.in/profile/452069
- Google scholar Link: https://scholar.google.com/citations?user=IwTep3MAAAAJ&hl=en
- h-Index (As per Scopus Data) : 3
Publication Details:
| S.No | Publication Affiliation | Academic Year | Author Position | Details of Research Publication | Indexing | Publication | Journal Quartile (Q1/Q2/Q3/Q4) |
|---|---|---|---|---|---|---|---|
| 1 | Others | 2024 | 1 | 'AETC: an automated pest detection and ensemble transfer CNN with IoT-assisted pest images', Knowledge and Information Systems, https://doi.org/10.1007/s10115-024-02146-y | SCIE | Journal | Q3 |
| 2 | Others | 2023 | 1 |
IoT-based pest detection and classification using deep features with enhanced deep learning strategies” in Journal of Engineering Applications of Artificial Intelligence, DOI: https://doi.org/10.1016/j.engappai.2023.105985 |
SCIE | Journal | Q1 |
Patents
| S.No | Affiliation | Academic Year | Application ID | Title of the Patent | Status |
|---|---|---|---|---|---|
| 1 | MITS | 2022 | 202241051215A | DESIGN SYSTEM OF IOT - BASED WIND PRESSURE CONTROL PREDICTION ON SMART BUILDINGS USING MACHINE LEARNING | Published |