Email: suganya.g@vit.ac.in
PhD: Anna University
Research Area: Cognitive Engineering, Deep Learning, Decision Support Systems
| Employee ID | 50438 | ||||
| Intercom | 1399 | ||||
| Educational details (Please mention all the degrees with latest first) | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2017 | Software Engineering | Anna University | ||
| M.Tech | 2009 | Software Engineering | Anna University | ||
| B.E./B.Tech | 2002 | Computer Science and Engineering | Bharathidasan University | ||
| Research Details | |||||
| Areas of Specialization | Cognitive Systems, Deep Learning & Machine Learning | ||||
| ORCID ID | https://orcid.org/0000-0001-9560-4760 | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=56872914200 | ||||
| H-index (scopus) | 4 | ||||
| Google Scholar ID | https://scholar.google.co.in/citations?user=jkmgkHYAAAAJ&hl=en | ||||
| i10 index | 4 | ||||
| On-going Consultancy Project Details | |||||
| On-going Consultancy Project Title | 1. Development of Soft-tool foundation design (RCC) 2. Shape matching of irregular polygons | ||||
| Completed Consultancy Project Details | |||||
| Completed Consultancy Project Title | Development of AR-based Car owner manual | ||||
| Patent Published Details | |||||
| Patent Published Title | Patent Published Application No. | ||||
| AI-based Dietary Needs Management System | IN Patent – 31/2020 | ||||
| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| Predicting effectiveness of solar pond heat exchanger with LTES containing CuO nanoparticle using machine learning | Taylor & Francis | 2021 | |||
| Crop Models and Decision Support Systems Using Machine Learning | CRC Press | 2021 | |||
