CV

CV / Resume

Education

• Universitat de Barcelona/Computer Vision Center
  Ph.D. in Computer Vision, Hybrid, Barcelona, BCN, May 2024 – Present
  Focused on advancing Human-Robot-Object Interactions (HROIs), Generative AI, and robotics, integrating insights from psychology and neuroscience with cutting-edge AI technologies. Research includes video analysis, 3D vision, edge computing, and multimodal systems.
  • Pioneered advancements at the Jetson Research Lab by porting over 30 libraries for Jetson devices, empowering developers worldwide, and showcasing cutting-edge capabilities through impactful demonstrations.
  • Established a strong LinkedIn presence as a Generative AI and robotics influencer, inspiring collaboration within the tech community.

• Universitat Autónoma de Barcelona/Computer Vision Center
  M.S. in Computer Vision, Barcelona, BCN, Sep 2023
  Relevant Courses: Intro to Computer Vision, Video Analysis, 3D Vision, Visual Detection

• Universitat de Barcelona
  M.S. in Fundamental Principles of Data Science, Barcelona, BCN, July 2022
  Relevant Courses: Intro to Databases, Machine Learning, Deep Learning, Big Data, Ethics
  Honors: Computer Vision

• Universitat de Barcelona
  B.S. in Computer Science, Barcelona, BCN, June 2021
  Relevant Courses: Intro to Computer Science, Algorithm Analysis, Machine Learning, and Parallel Computing
  Honors: Machine Learning, Third Prize in Bachelor’s Thesis

Work Experience

• Human Pose Recovery and Behavior Analysis
  Researcher Student, Hybrid, Barcelona, BCN, Sep 2020 – Present
  • Spearheaded international challenges and seminars on human behavior, gesture recognition, and motion analysis, driving global collaboration and contributing to multiple peer-reviewed publications.
  • Specialized in human pose estimation and multi-modal data analysis, addressing challenges like occlusions and dynamic human-object interactions.
  • Delivered knowledge transfer sessions for companies and students, bridging cutting-edge research with practical applications.
• Fundació Bosch i Gimpera
  Researcher Student, Hybrid, Barcelona, BCN, Nov 2023 – Sep 2024
  • Engineered a private international project using a customized YOLO architecture for small multi-object detection and tracking in complex environments.
  • Researched and implemented novel knowledge distillation and quantization techniques for Edge AI.
  • Achieved a 470% performance boost on the Jetson AGX Orin by integrating multithreaded pipelines and Kernel Fusion, surpassing 80 FPS with advanced detection and behavior analysis modules.
• Milestone Systems
  Researcher Student, Remote, Barcelona, BCN, Mar 2023 – Nov 2023
  • Authored a WACV 2024 paper highlighting advancements in trajectory-based loitering detection for smart cities.
  • Standardized loitering definitions and developed mathematical trajectory analysis methods.
  • Validated geometric motion and stationarity descriptors, achieving robust real-world classification results.
• Brodynt/Expereo
  Junior IT Manager, Hybrid, Barcelona, BCN, Aug 2020 – Sep 2021
  • Led the IT Support Department, managing over 1 million devices and transitioning workflows from manual to automated using AI-driven anomaly detection.
  • Designed and implemented monitoring systems leveraging Python APIs, Flask, and PostgreSQL for improved device uptime and downtime management.

Skills

• Programming Languages: C/C++/C#, Python, R, Java, SQL, Bash, Yaml, CUDA, ROCm, Git
• Frameworks: PyTorch, TensorFlow, Keras, Caffe, OpenCV, scikit-learn, NumPy, Pandas, Hydra, Docker, Slurm
• Databases: PostgreSQL, MongoDB, Firebase
• Tools: Latex, NVIDIA Nsight, Markdown, DataGrip, Google Cloud Services, AWS

Publications

Identifying Loitering Behavior with Trajectory Analysis

Johnny Núnez, Zenjie Li, Sergio Escalera, Kamal Nasrollahi. (2024). "Identifying Loitering Behavior with Trajectory Analysis." Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 251-259.

Comparison of Spatio-Temporal Hand Pose Denoising Models

Johnny Núnez. (2022). "Comparison of Spatio-Temporal Hand Pose Denoising Models." Universitat de Barcelona.

Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results

Cristina Palmero, German Barquero, Julio CS Jacques Junior, Albert Clapés, Johnny Núnez, David Curto, Sorina Smeureanu, Javier Selva, Zejian Zhang, David Saeteros, David Gallardo-Pujol, Georgina Guilera, David Leiva, Feng Han, Xiaoxue Feng, Jennifer He, Wei-Wei Tu, Thomas B Moeslund, Isabelle Guyon, Sergio Escalera. (2022). "Chalearn LAP challenges on self-reported personality recognition and non-verbal behavior forecasting during social dyadic interactions: Dataset, design, and results." Understanding Social Behavior in Dyadic and Small Group Interactions. 4-52.

Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios: Supplementary Material

German Barquero, Johnny Núnez, Zhen Xu, Sergio Escalera, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios: Supplementary Material."

Didn’t see that coming: a survey on non-verbal social human behavior forecasting

German Barquero, Johnny Núnez, Sergio Escalera, Zhen Xu, Wei-Wei Tu, Isabelle Guyon, Cristina Palmero. (2022). "Didn’t see that coming: a survey on non-verbal social human behavior forecasting." Understanding Social Behavior in Dyadic and Small Group Interactions. 139-178.