Dr. Rebakah Geddam | Computer Interface Awards | Best Researcher Award
Dr. Rebakah Geddam , Nirma University , India
Rebakah Geddam is an accomplished educator and researcher specializing in Cognitive Neuroscience and Computational Neuro-informatics Models at Nirma University. With over a decade of teaching experience, she previously served as Assistant Professor at LDRP Institute of Technology and Research for nearly 11 years. Rebakah holds a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, focusing on Brain Computer Interfaces for enhancing cognitive performance. Her expertise spans Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences. Rebakah is recognized for her leadership in establishing robotics labs and organizing workshops, contributing significantly to the field of educational technology
Professional Profile:
🎓Education:
Rebakah Geddam has pursued a distinguished academic journey, culminating in a Ph.D. in Computer Applications from the School of Doctoral Research and Innovation at GLS University, where her research focused on developing a model to analyze signals from Brain Computer Interfaces for obtaining Neuro-Feedback. Prior to her doctoral studies, she completed an M.Tech in Information Technology at KSOU, specializing in IT. Rebakah’s foundational education includes a B.Tech in Computer Science from JNTU, Hyderabad, alongside her secondary education comprising 12th Grade (IBSE) and 10th Grade (ICSE), which laid the groundwork for her subsequent achievements in the fields of Cognitive Neuroscience, Computational Neuro-informatics Models, Embedded Systems, Internet of Things (IoT), Augmented Reality, Robotics, Machine Learning, and Cognitive Behavioral Sciences.
🏢Work Experience:
Rebakah Geddam brings extensive experience and expertise to her role as an educator and researcher. She currently serves as an Assistant Professor at Nirma University, a position she has held since September 2021. Prior to this, Rebakah spent over a decade at LDRP Institute of Technology and Research, where she excelled as an Assistant Professor from May 2010 to September 2021, accumulating nearly 11 years of teaching experience. Her academic journey began earlier as a Lecturer at the same institute from October 2007 to May 2010. Before transitioning to academia, Rebakah contributed significantly as a Placement Officer at the Indian Institute of Hardware Technology (IIHT) from August 2003 to September 2007, gaining valuable experience over a span of 4 years and 2 months. Her diverse roles have enriched her understanding of educational dynamics and underscored her commitment to fostering learning and innovation in the field of computer science and cognitive sciences.
🏆Awards and Recognitions:
Rebakah Geddam has also distinguished herself through various leadership roles and achievements in educational technology and innovation. She secured a significant grant of 2 Lac for establishing an AI mirror with embedded applications at KSV, showcasing her strategic vision and commitment to advancing technological infrastructure. As the leader of E-Yantra at IIT-Bombay, Rebakah played a pivotal role in establishing a Robotics Lab, contributing to hands-on learning and research in robotics. Additionally, she has served as an organizer and resource person for workshops that not only imparted knowledge but also generated substantial internal revenue, highlighting her proactive approach and impactful contributions to the academic community. Her initiatives underscore her dedication to enhancing educational environments through cutting-edge technology and practical learning experiences
Publication Top Notes:
- Article: Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion
- Authors: H. Ghayvat, M. Awais, R. Geddam, P. Tiwari, W. Löwe
- Article: AiCarePWP: Deep learning-based novel research for Freezing of Gait forecasting in Parkinson
- Authors: H. Ghayvat, M. Awais, R. Geddam, G. Fortino, K. Dev
- Article: Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System
- Authors: A. Thakkar, N. Kikani, R. Geddam
- Article in Press: Digitally Enhanced Home to the Village: AIoMT-Enabled Multi-Source Data Fusion and Power-Efficient Sustainable Computing
- Authors: H. Ghayvat, M. Awais, R. Geddam, L. Nkenyereye, K. Dev
- Conference Paper: Enhanced Pothole Detection Using YOLOv5 and Federated Learning
- Authors: A. Singh, A. Mehta, A.A. Padaria, R. Geddam, S. Tanwar