Let’s introduce to our audience Dr. Yahya Zweiri! Who are you? If you had to describe yourself in 1 sentence, what would you say?‍
Professor Yahya Zweiri, Department of Aerospace Engineering, and Director of the Advanced Research & Innovation Center (ARIC) at Khalifa University, UAE. Prof. Yahya Zweiri has expertise in neuromorphic perception and applied AI for rapid and precise robotic systems, with extensive experience in research and innovation across academia and industry.

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What are the most
A- Fascinating research
B- Impactful research
C- Fun and whimsical research
You are leading these days?

Fascinating research: Prof. Zweiri's work on neuromorphic perception algorithms for autonomous robots, where artificial intelligence mimics biological brain functions to enable rapid, adaptive responses in complex environments, is cutting-edge. This field is pushing the boundaries of robotics and AI integration, with significant implications for advanced autonomous systems solutions.

Impactful research: Prof. Yahya Zweiri and his colleagues founded the startup Kumrah AI, which focuses on replicating human touch through neuromorphic perception and AI with robotics, prosthetics, and artificial intelligence applications. This research enhances sensitivity and responsiveness to physical environments, making it essential across various industries. He also co-founded DroneLeaf to simplify drone technology, making autonomous systems accessible to everyday users. At Khalifa University's Advanced Research and Innovation Center, Prof. Zweiri and his team have developed neuromorphic solutions for rapid and precise engineering solutions, significantly boosting efficiency and safety. Their research is transforming aerospace and manufacturing, with four industrial solutions already deployed on factory floors, along with three patents filed and seven submitted in the past two years. Prof. Zweiri's work addresses real-world challenges while contributing to the knowledge-based economy.

Fun and whimsical research: Prof. Zweiri has led recent projects in the area of swarm robotics, where large groups of small robots are designed to mimic collective behaviors found in nature, such as flocking birds or swarming insects. This playful exploration of biomimicry has practical uses in search and rescue, environmental monitoring, and exploration.

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Computer vision models have revolutionized modern science and technology…but what on Earth are neuromorphic computer vision systems?
Neuromorphic computer vision systems are inspired by the architecture and functioning of the human eye and brain, utilizing specialized sensors, hardware, and algorithms to process visual information similarly to biological systems. Unlike traditional computer vision models that depend on conventional digital processing, these systems replicate neuronal interactions, enabling more efficient and real-time information processing. Key features include event-based processing, where sensors detect significant changes in a scene instead of capturing full frames, leading to faster responses and reduced data loads. They also employ parallel processing to manage multiple information streams simultaneously, enhancing overall efficiency. Furthermore, neuromorphic systems are energy-efficient, delivering high performance with lower power consumption, and they possess a high dynamic range while immune to motion blur. These advancements make them promising for applications in robotics, autonomous vehicles, and other domains requiring efficient real-time processing, representing a significant leap in intelligent systems that interact with their environments like humans.
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Vehicles that can fly, swim, and dive under water have always been the bravest science fiction…how were you able to make it a reality?
The vehicle detailed in my patent US12037095B2 can fly, swim, and dive underwater, thanks to an innovative design that integrates multiple functionalities into a single platform. It features a modular hybrid architecture for smooth transitions between aerial, surface, and submersible environments, utilizing wings, buoyant materials, and specialized hull designs. Advanced propulsion systems blend aerodynamics and hydrodynamics for efficient navigation, while sophisticated control algorithms ensure stability and precise maneuvering. Equipped with advanced sensors and navigation systems, the vehicle can operate autonomously or remotely, transforming the multi-environment vehicle concept into a practical reality.
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AI…AI…AI…is AI doing anything useful in your field as an aerospace engineer?
AI significantly impacts aerospace engineering by optimizing aircraft designs, enhancing predictive maintenance, and improving flight operations. It facilitates the development of autonomous systems, enabling safer navigation and operations. AI also plays a crucial role in robotics and manufacturing, enhancing efficiency and precision. AI is transforming the industry, making it safer and more innovative.

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If you could design an experiment without any limitations of time or money… what would it be?
If I could design an experiment without any time or money limitations, I would establish a state-of-the-art neuromorphic robotics research facility. This facility would combine advanced AI algorithms, sophisticated neuromorphic sensors, and cutting-edge neuromorphic hardware to create a fleet of autonomous robots capable of flying, swimming, and diving in extreme conditions. The experiment would investigate how these robots interact with various environments, allowing for real-time data collection on their adaptability and decision-making processes. We would also explore their potential to collaborate on complex tasks, such as search and rescue missions and environmental monitoring. Ultimately, the aim would be to expand the possibilities of autonomous systems, yielding valuable insights for various industries and significantly advancing the field of robotics.

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If you could have a superhero power. What would it be?
If I could have superhero power, it would be the ability to instantly understand and communicate in any language and grasp most people's perceptions. This power would facilitate collaboration and knowledge sharing across global aerospace engineering and robotics communities. Enhancing international partnerships and fostering innovation would enable seamless communication and teamwork on complex projects, ultimately advancing our collective understanding and capabilities in science and technology.

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Mystery dinner party…Dead or Alive, who would be 3 guests you would invite to your dinner party?
Leonardo da Vinci:  His innovative ideas in engineering and art would spark fascinating discussions about the intersection of creativity and technology.
Geoffrey Hinton: As a pioneer in artificial intelligence and deep learning and noble laureate, his insights into the future of AI would be invaluable, especially regarding its applications in aerospace and robotics.
Elon Musk: As a pioneer in aerospace, robotics, and technology, his vision for the future and his work with SpaceX, humanoid robots, and Tesla would provide a contemporary perspective on innovation and the challenges facing our industry today.

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If you could leave a question for the next guest, what would that be?
What are your beliefs about superintelligence, and how do you think it will shape the future of humanity? Additionally, how do you envision it impacting human existence?

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If you had a time machine, where and when would you go?
If I had a time machine, I would travel to the early to mid-20th century, specifically between 1900 and 1950, to experience the remarkable advancements in science and technology. This era was pivotal for aviation, physics, and engineering developments, setting the groundwork for modern aerospace. I would love to meet pioneers like Albert Einstein to discuss their visionary ideas and the challenges they encountered. Additionally, I would explore how their innovations influenced the future of technology and society, gaining insights that could inspire current advancements in aerospace engineering and robotics.
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