Email: psnithyadarisini@vit.ac.in
PhD: Anna University
Research Area: Ad Hoc Networks, Computer Vision, Artificial Intelligence
| Employee ID | 50049 | ||||
| Intercom | 044 3993 1227 | ||||
| Educational details | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| PhD | 2017 | Computer Science | Anna University | ||
| M.Phil | 2003 | Computer Science | Manonmaniam Sundaranar University | ||
| MCA | 1999 | Computer Applications | Bharathidasan University | ||
| B.Sc. | 1996 | Applied Science | Madras University | ||
| Research Details | |||||
| Areas of Specialization | AdHoc Networks – MANETs, VANETs, Artificial Intelligence, Computer Vision | ||||
| ORCID ID | 0000-0001-9154-8669 | ||||
| Consultancy Project Details | |||||
| Completed Consultancy Project Title | Funding Agency | ||||
| Age, Gender and Emotion Detection through Speech | Samsung Research Institute, Bangalore | ||||
| Completed Funded Project Details | |||||
| Completed Funded Project Title | Funding Agency | ||||
| A test bed for identification of infection in Prawns using Wireless Sensor Networks | NRDMS | ||||
| Publication Details | |||||
| Title | Publisher | Year | |||
| Novel SEGAA: A unified approach to predicting Age, Gender and Emotion in Speech | Circuits, Systems, and Signal Processing | 2024 | |||
| Sustainable Anomaly Detection in Surveillance System | Springer Lecture Notes-Advances in Intelligent Systems and Computing | 2022 | |||
| An adaptive classifier based approach for crowd anomaly detection | Computers, Materials & Continua | 2022 | |||
