As a PhD student in Generative AI and Robotics at the University of Barcelona (UB) at HuPBA. I am passionate about developing and researching intelligent systems that enhance human-robot-object interactions (HROIs). With a strong background in AI, edge computing, and GPU technologies, I have the skills and knowledge to tackle complex and challenging problems in this domain.

In my PhD research at UB, I focus on computer vision projects in collaboration with the Hupba group, building on my master’s thesis on human hand pose denoising. My research delves into the intersection of generative AI and robotics, contributing to cutting-edge advancements in HROIs. Previously, I worked on an international private project focused on small multi-object detection and tracking in complex environments, using novel knowledge distillation and quantization techniques for edge AI. Additionally, I was a computer vision research engineer at Milestone Systems, where I applied my expertise in computer vision and machine learning to loitering detection.

I have a master’s degree in computer vision from Universitat Autònoma de Barcelona (UAB) and a master’s degree in the fundamental principles of data science from UB. I also hold a bachelor’s degree in computer engineering from UB. I am proficient in various programming languages, such as C, C++, Java, Python, and JavaScript, as well as DevOps tools, such as Docker and Kubernetes.

I’m key member of the Jetson Research Lab, where he drives the development of AI and robotics on edge devices. I am always eager to learn new things and take on new challenges in the field of AI and robotics. I welcome collaborations and discussions that can further the field of HROIs.

Short Bio

Johnny Núñez is a PhD student with experience in computer vision, edge computing, and robotics. He is currently pursuing a PhD in Human-Robot-Object Interactions at the University of Barcelona. Johnny is passionate about CUDA development and artificial intelligence, with a focus on 3D vision. He has contributed to adapting numerous AI tools for edge devices.

He has participated in prominent events such as MWC Barcelona, Smart Cities Barcelona, and GTC 2024. Additionally, he reviews cutting-edge hardware like the NVIDIA A6000 Ada and has published in specialized journals on human behavior and video surveillance. Johnny is a key member of the Jetson Research Lab, where he drives the development of AI and robotics on edge devices.

Spanish Bio

Johnny Núñez es un estudiante de doctorado con experiencia en visión por computador, computación en el edge y robótica. Actualmente cursa un doctorado en Interacciones Humano-Robot-Objeto en la Universidad de Barcelona. Johnny es un apasionado del desarrollo en CUDA y la inteligencia artificial, con un enfoque en visión 3D. Ha contribuido a la adaptación de numerosas herramientas de IA para dispositivos edge.

Ha participado en eventos destacados como el MWC Barcelona, Smart Cities Barcelona y el GTC 2024, además de realizar reseñas de hardware de última generación, como la NVIDIA A6000 Ada, y en publicaciones especializadas en comportamiento humano y videovigilancia. Johnny es un miembro clave del Jetson Research Lab, donde impulsa el desarrollo de IA y robótica en dispositivos edge.

Career Change

At 16, I tore my ACL, and with that injury, my dream of becoming a professional football player disappeared. I was so close, almost playing in Spain’s second division.

Just a few months later, I began university, but I didn’t get a spot in Computer Science. I ended up in telecommunications and struggled, failing most of my exams. I was spending four hours a day in rehab, and my mind was elsewhere.

When I finally got back on my feet, I had a relapse and never really felt the same again. However, that experience built my resilience.

After my first injury, I found refuge in the world of AI. At that time, tools like PyTorch and TensorFlow didn’t even exist—there was only Theano. That’s how I first entered the realm of artificial intelligence. Over time, I developed a deep passion for neuroscience, psychology, humanoids, and robots. It became more than just work for me—it became my love.

This passion pushed me to create videos on YouTube and eventually led to one of the most unforgettable experiences of my life: attending GTC 2024 in San José, California. It was my first trip to the U.S., and I was surrounded by people who shared my passion for technology. I met some of my biggest inspirations and gained access to cutting-edge hardware I could only dream of owning. Visiting NVIDIA’s offices was a moment of clarity—I thought to myself, “One day, I’ll work here.”

Now, I continue contributing to the tech community, especially in the world of edge devices and on GitHub. My journey includes a background in Computer Engineering, a Master’s in Data Science, a Master’s in Computer Vision, and I’m currently pursuing a PhD in Human-Robot-Object Interactions.

About This Site

This website was originally built in 2024, and since then, its style and focus have evolved multiple times.

The main purposes of this site are as follows:

• Explore the technical intricacies and advancements in computer vision, CUDA programming, and edge computing, focusing in Robotics.
• Document the implementation of hardware-accelerated algorithms and their applications in real-world scenarios.
• Present independent research projects, particularly those involving human-robot-object interactions (HROIs) and cutting-edge hardware.
• Share insights on optimizing performance across various platforms, including edge devices and AI systems. Please note that all content on this site represents my own views and experiences and does not reflect the opinions of my current or past employers.

Citations

If you ever feel the need to cite the blog posts, articles, or anything from my GitHub, just go ahead and use the URLs. I promise not to change them—unless, of course, GitHub decides to vanish into the void, in which case, we’re all in trouble.

Contact Me

If you have any burning questions or feel the need to roast my blog posts, drop a comment under the post—let’s keep the drama public for everyone’s benefit! For questions about my GitHub projects, open an issue in the repository. That way, we avoid a flood of repeated questions, and I don’t have to play tech support 24/7. For top-secret, private inquiries, feel free to email me—just don’t expect an instant reply unless there’s pizza involved.