Gennaro has nearly 15 years of combined, medical, engineering, and AI experience. Gennaro Is a Duke University-trained Biomedical Engineer with a Master’s Degree in Medicine. Early on in his career, Gennaro focused on mathematical modelling of physiological systems and basic sensor systems implementation in medical devices. Pure engineering was followed up with five years of medical study, focusing on clinical cardiology, ophthalmology, and orthopedics. Gennaro detoured into custom audio/video control systems for 15 years, following a childhood dream of working on smart homes and buildings. While participating in the Wharton School of Business Himalayan Leadership Trek to Mount Everest, Gennaro rediscovered his passion for developing novel medical technologies. He is now an IBM Data Science Certified Professional, as well as a Facebook/Udacity Pytorch (Deep Learning Framework) Scholar. Recently, he was chosen as an Expert PyTorch Deep Learning Framework Assessment Author with Pluralsight for their online learning platform. Today Gennaro combines his talents to continually search for revolutionary medical technologies and develop them.
Professor Javaan Chahl is DST Group Joint Chair of Sensor Systems and has been with UniSA since 2012. Prior to this, he served as the Professor of Aerospace (Unmanned Aerial Vehicles) at RMIT University in Melbourne. Prior to this role, he was at the Defence Science and Technology (DST) Group, with whom he still works closely. Professor Chahl earned his Ph.D. in Neuroscience & Robotics at the Australian National University and has published more than 150 full-length articles that have been referenced by other researchers in his fields more than 3,000 times.
His research provides ample evidence of his breadth of research expertise including avionics for UAVs, operations analysis, flight trials, space exploration, neuroscience, anatomy, manufacturing technology, and behavioral biology. High points of his career have included working with NASA Ames developing Mars exploration technology and supporting his military colleagues with real-time technical advice during operations. His current research interests are UAVs, biological vision systems, insect behavior, and aerospace technology. His research is multidisciplinary, collaborative, and encompasses both theory and application. As a Research Degree Supervisor, Professor Chahl is highly sought after as a supervisor and mentor and is responsible for a large and diverse group of graduate students. His graduated research students have gone on to attain senior academic and government research positions in Australia and overseas. He encourages collaboration, communication, and a focus on high-quality, high-impact research.
Dr Ali Al-Naji Adjunct Senior Lecturer School of Engineering Ali Abdulelah Al-Naji received the bachelor of Engineering in Medical Instrumentation Techniques from the Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq (2005), master of science in the Electrical & Electronic Engineering from the University of Technology, Baghdad, Iraq (2008) and Ph.D. degree in the Electrical & Information Engineering, University of South Australia (UniSA), Australia (2018). Ali is now a vice dean for scientific and students affairs in the Electrical Engineering Technical College, Middle Technical University. Ali is also with the School of Engineering, University of South Australia (Mawson Lakes, SA 5095, Australia) as an adjunct senior lecturer. He is a member of the Institute of Electrical and Electronics Engineers IEEE (2017), Engineers Australia EA (2018) and the International Association of Engineers IAENG (2018). His research interests include biomedical instrumentation and sensors, computer vision systems, and microcontroller applications.
Dr. Asanka Perera is a postdoctaral researcher in Signal Processing. His research interests include Adaptive Filtering, Machine Learning, Computer Vision, Action Recognition, Mechatronics and Robotics. He has a masters in Industrial Automation and a bachelors in Electrical and Electronics. For SP2, 2019, we delivered a brand new Mechatronics course (Autonomous Mechatronc Systems (EEET 4070) and Mechatronic System Design 2 (EEET 4075)). He is honoured to be a part of course development and lecturing team. Mechatronics students get hands on experience on mobile robotics, localization, path planning, obstacle avoidance, computer vision, machine learning, object detection using pre-trained models, simulation and student projects using model-based design.