| Employee ID | 51715 | |||||
| Salutation (Prof./ Dr.) | Dr | |||||
| Name | P. Nirmala | |||||
| Designation | Associate Professor (Grade 1) | |||||
| School/Centre | SENSE | |||||
| Intercom | ||||||
| Educational details (Please mention all the degrees with latest first) | ||||||
| Degree | Passed out year | Specialization | Institute/University/ College | |||
| Ph.D | 2018 | IMAGE PROCESSING | ANNA UNIVERSITY | |||
| M.E | 2013 | COMMUNICATION SYSTEMS | ANNA UNIVERSITY | |||
| B.E | 2010 | ECE | ANNA UNIVERSITY | |||
| Diploma | ||||||
| Post-Doctoral Experience if any | ||||||
| Research Details | ||||||
| Areas of Specialization | Image Processing, Deep Learning, Machine learning and Computer Vision | |||||
| ORCID ID | https://orcid.org/0000-0001-8010-7040 | |||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57189235114 | |||||
| H-index (scopus) | 7 | |||||
| Google Scholar ID | https://scholar.google.com/citations?user=EvVeMJ0AAAAJ&hl=en | |||||
| i10 index | 6 | |||||
| On-going Consultancy Project Details | ||||||
| On-going Consultancy Project Title | ||||||
| Completed Consultancy Project Details | ||||||
| Ongoing Funded Project Details | ||||||
| Completed Funded Project Details | ||||||
| Completed Funded Project Title | Multi-Temporal Predictive Analysis of Brain Tumor Segmentation Using Multi-Modal Fused Image- funded by TNSCST. | |||||
| Patent Published Details | ||||||
| Patent Published Title | ||||||
| 202341087520 | AN AUTOMATED FISH GRADING SYSTEM FACILITATING SORTING OF FISHES, AND METHOD THEREOF | |||||
| 202441046558 | A SMART PLUG ENABLING PROTECTION OF USER DEVICES, AND METHOD THEREOF | |||||
| 402762-001 | AUTOMATED FISH GRADING SYSTEM WITH RECONFIGURABLE METHOD THEREOF | |||||
| Patent Granted Details | ||||||
| Patent Granted Title | PIPELINE INSPECTION ROBOT | |||||
| Book / Book Chapter Published Details | ||||||
| Title | Publisher | Year | ||||
| Non-destructive testing for cracks in concrete | Springer | 2020 | ||||
| Artificial Neural Network Based Image Fusion for Surveillance Application | Springer | 2023 | ||||
| Noise Classification and Removal in Compressively Sensed Surveillance Videos Using Statistical Measures | Springer | 2022 | ||||
| Live Social Spacing Tracker Based on Domain Detection | Springer | 2022 | ||||
| Awards & Recognition Details (only national and international awards and recognitions) | ||||||
| Name of the award, awarding agency, year of award | ||||||
| Outstanding reviewer-Infrared Physics and Technology Elsevier- 2018 | ||||||
| Recognized reviewer- Information fusion- Elsevier- 2018 | ||||||
| Recognized reviewer- IET Computer vision-Wiley-2022 | ||||||
| Major International Collaboration Details – Academic Collaboration Details | ||||||
| Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration | ||||||
| Research & publication – 1. Northeastern University, Boston 2. Rochester Institute of Technology, Rochester, NY,3. Saarland University, Germany, 4. Sri Sivasubramaniya Nadar College of Engineering, Chennai 5. Ramaiah Institute of technology, Bengaluru. | ||||||
| Major International Collaboration Details – Industry collaboration Details | ||||||
| Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration | ||||||
| Other Details | ||||||
| Editorial Experience (if any) | ||||||
| Personal Website Link (if any) | ||||||
