G.K. Giakos is Professor and Chair in the Department of Electrical and Computer Engineering, at Manhattan College, NY. His research is articulated in technology innovation, through the integration of physics, engineering and augmented intelligence. He is the founding director of the Laboratory for Quantum Cognitive Systems and Bioinspired Engineering. He has more than 20 US and foreign patents, 350 peer-review papers. He got extensive training in the design of innovative bioinspired electrooptical imaging sensor systems; by serving as contractor at NASA, US Airforce Laboratories (AFRL), and Office of Naval Research. He is the recipient of the Fulbright Award to India, granted by the U.S. Department of State, 2019-2020. He has been recognized for "his leadership efforts in advancing the professional goals of IEEE" by receiving the 2014 IEEE-USA Professional Achievement Award" in "recognition of his efforts in strengthening links between industry, government and academia". He has been elected Fellow of the IEEE and he is the recipient of the ONR Distinguished Faculty Fellow Award, summer 2004. His team was first to pioneer label-free near infrared (NIR ) polarimetric imaging techniques for efficient lung cancer detection; introduced the polarimetric dynamic vision p(DVS) detection principles for cognitive imaging; pioneered the characterization of CZT semiconductors for flat panel radiography. His Doctoral Dissertation was on the "Detection of Longitudinal EM Waves in Open Media". He promoted collaborations with US Air Force, Office of Naval Research, DOD, NASA, National Academy of Sciences, Lockheed Martin, Philips, Cleveland Clinic, Varian Medical Systems He serves as:
• Founding Chairman IEEE TC19 Imaging Systems
• Founding Chairman IEEE International Conference on Imaging Systems and Techniques
• Founding Director IEEE International School on Imaging
• Founding Director IEEE Industry-Academia Forum
• CoChair IEEE TC16 Materials & Measurements
He supervised and contributed to the knowledge of several graduate students, with a vast majority of them, being successful and well-respected leaders in industry and academia.
Secondly, Giakos and coworkers introduced novel and efficient bioinspired vision architectures, operating on polarimetric neuromorphic detection principles, in conjunction with efficient deep learning architectures, namely, the polarimetric Dynamic Vision Sensor p(DVS); integrating human cognition capabilities, such as computation and memory emulating neurons and synapses, together with polarization of light principles. The p(DVS) would ultimately revolutionize and give rise to the next-generation highly efficient augmented intelligence vision systems with potential applications in space research. The experimental results clearly indicate that both high computational efficiency and classification accuracy can be achieved on detecting the shape, texture, and motion patterns of resident space objects (RSO) and space debris; while operating at low bandwidth, low memory, and low-storage (2016-present).