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RAHEE WALAMBE received MPhil, Ph.D. Degree from Lancaster University, UK, in 2008. From 2008 to 2017, she was a Research Consultant with various organizations in the control and robotics domain. Since 2017, she has been working as an Associate Professor at Dept of Electronics and Telecommunications at Symbiosis Institute of Technology, Symbiosis International University, Pune, India. Her area of research is applied Deep Learning and AI in the field of Robotics and Healthcare. Application of novel DL algorithms for cutting edge research is Dr Rahee Walambe’s area of interest and expertise. Principal Investigator of the project entitled Development of Explainable AI Techniques for Complex Disease Diagnosis using Genomics Data (XAI) in Collaboration with The University of Queensland, Australia and as a Co-Principal Investigator of the project entitled Development of Algorithms for Credibility Analysis of Information in collaboration with Arizona State University, USA, Dr Rahee has a firm hold on the development and application of deep learning methodologies and mathematical reasoning, which form the backbone of deep learning algorithms. A teaching-researching faculty member in Symbiosis Institute of Technology, she has worked as a Principal Investigator for a Dept. of Science and Technology’s Women Scientist (WOS-A) Fellowship scheme from April 2014 to March 2017 for the project entitled ‘Cars that Drive and Park’ at PVG’s College of Engg and Technology. The grant was for the development of indigenous prototype for motion planning and path planning for Auto-navigation and auto-parking of a car type mobile robot. Her proven research experience is in the broad area of Machine Learning, Mobile Robotics, Nonlinear Control and AI Applications. She is currently working in allied areas of Deep learning for applications in text processing, genomics, multi-sensor fusion, multi-agent systems and reinforcement learning. A doctorate from Lancaster University, UK, she has published impactful manuscripts in quality journals and books. She has filed patents on development of DL based assistive device for visually impaired people (patent filed in September 2019) and development of DL algorithm for Multi Sensor Fusion for gas detection (Patent filed in September 2019) with UG and PhD students. She has worked as a team member for DRDO project and as industrial research consultant. Dr Walambe has also been Invited Expert for various talks related with her expertise in India and abroad. She has published extensively in SCI and SCOPUs indexed journals and conferences.

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Publication

  • dott image November, 2023

A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine

The unexpected and rapid spread of the COVID-19 pandemic has amplified the acceptance of remote healthcare systems such as telemedicine. Telemedicine effectively provides remote communicatio...

  • dott image July, 2023

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions

Human behaviour reflects cognitive abilities. Human cognition is fundamentally linked to the different experiences or characteristics of consciousness/emotions, such as joy, grief, anger, et...

  • dott image April, 2022

Few-Shot learning for face recognition in the presence of image discrepancies for limited multi-class datasets

One of the primary limitations of deep learning is data-hungry techniques. Deep learning approaches do not typically generalize well for limited datasets with fewer samples. Drawing the insp...

  • dott image October, 2021

[Retracted] Employing Multimodal Machine Learning for Stress Detection

In the current information age, the human lifestyle has become more knowledge-oriented, leading to sedentary employment. This has given rise to a number of health and mental disorders. Menta...

  • dott image July, 2021

Assistive Framework for Automatic Detection of All the Zones in Retinopathy of Prematurity Using Deep Learning

Retinopathy of prematurity (ROP) is a potentially blinding disorder seen in low birth weight preterm infants. In India, the burden of ROP is high, with nearly 200,000 premature infants at ri...

  • dott image February, 2021

Comparison of machine learning and deep learning techniques in promoter prediction across diverse species

Gene promoters are the key DNA regulatory elements positioned around the transcription start sites and are responsible for regulating gene transcription process. Various alignment-based, sig...

  • dott image January, 2021

A Review on Explainability in Multimodal Deep Neural Nets

Artificial Intelligence techniques powered by deep neural nets have achieved much success in several application domains, most significantly and notably in the Computer Vision applications a...

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