Dr. GAYATHIRI R

 
 Name: Dr. GAYATHIRI R
 Designation: Guest Faculty (on Contract)
 Department: Department of Computer Science (Artificial Intelligence & Machine Learning)
 Contact No.: --
 Email: gayathrir339@gmail.com
 
 
 
Dr. Gayathri R has completed her Master degree with First Class Distinction in 2016 and Ph.D research in Computer Science and Engineering at Pondicherry University, Puducherry in 2022. She holds a Post Graduate Diploma in Statistics and Research Methodology (PGDSRM) from Department of Statistics, Pondicherry University in the year 2018. She was awarded UGC: Post Metric Scholarship for the MCA Programme in 2014. She has qualified the UGC-NET and NTA-NET in June 2018 & 2019 and Tamil Nadu-State Eligibility Test [SET] in June 2018.

 

She was awarded UGC-JRF & SRF Fellowship for her doctoral Research (Ph.D).  She is actively doing her research in robotic field and completed her doctoral thesis entitled “Constraint-aware Optimal Robot Path Generation in Static Environments using Deep Learning Algorithms”. She has published 10 research articles in highly reputed SCI/Scopus-index journals and presented her findings in national and international conferences. She has written book chapters in the area of Artificial Intelligence, Machine Learning and Deep Learning. She is a peer-reviewer in reputed journals like Multimedia Tools and Applications journal, Springer publications.

 

She has expertise in modeling environment and optimal control in autonomous robotic navigation under deterministic as well as automated obstacle detection and waypoints generation framework using Robot Operating System (ROS) and Deep Learning models. She participated in academic online courses in NPTEL, Coursera, Udemy and awarded silver medal in the course “Introduction to Automata, Languages and Computation” from NPTEL in 2019. She is voluntarily mentoring master students to complete their master thesis and qualify competitive exams.

 

Her area of research interest includes Autonomous Robotic Navigation, Machine Learning, Deep Learning and Artificial Intelligence (AI)-enabled Learning.   

 

List of five latest publications:

 

  • Gayathri R, V.Uma (2022), “Unified Robot Action and Motion Planning with Extensible Planner using ROS Simulator”, Journal of King Saud University- Computer and Information Sciences. Elsevier, SCIE indexed, Q1 Journal. UGC Care (Group A) listed, Cite Score: 8.0, SNIP:3.572, SJR:0.793, DOI: https://doi.org/10.1016/j.jksuci.2021.07.002. Impact Factor: 8.839

 

 

  • Gayathri R., Uma, V. (2018). Ontology based knowledge representation technique, domain modeling languages and planners for robotic path planning: A survey. ICT Express, 4(2), 69-74. Elsevier, SCIE Indexed, citescore: 5.9, SNIP: 1.498, SJR: 0.624, Impact Factor:4.754.

 

  • Gayathri R., Uma, V. (2019). Performance Analysis of Robotic Path Planning Algorithms in a Deterministic Environment. International Journal of Imaging and Robotics, 19(4), 83-108. CESER Publications, Scopus, Citescore: 1.3, SNIP: 0.612, SJR: 0.128

 

  • Gayathri R., V. Uma. (2020). Artificial Intelligence for Extended Software Robots, Applications, Algorithms, and Simulators. In AI and Big Data’s Potential for Disruptive Innovation (pp. 71-92). IGI Global. DOI: 10.4018/978-1-5225-9687-5.ch003, (ISBN Number: 9781522596875)

 

  • Gayathri R., Uma V, Bettina O’Brien (2019). Ontology-based Indoor Domain Model Representation and Reasoning for Robot Path Planning using ROS. In Autonomous Driving and Driver Assistance System [ADDAS]. Taylor Francis, (ISBN Number: 9780429293856)