Fares Abawi

Hello! I’m Fares Abawi (فارس عبوي). I come from Bahrain 🇧🇭 and have been living in Germany 🇩🇪 for the past decade. I completed my Bachelor’s studies in electronic and communication engineering, during which I developed a liking for machine learning and artificial intelligence. I went on to complete my Master’s studies in intelligent adaptive systems, worked as a sensor fusion and algorithm engineer, and then returned to academia to complete my doctoral studies in robotics and AI. My doctoral research was centered around modeling human attention in social settings using deep learning approaches. It was particularly focused on projects like “GASP: Gated Attention for Saliency Prediction” and exploring how humanoid robots can mimic human-like attention and conflict resolution through multimodal integration.

As an advocate for collaborative technology, I actively maintain and contribute to open-source software projects (check out ImageBind-LoRA and Llama LLM distributed with Wrapyfi). I have also developed a framework called Wrapyfi for integrating robots and devices across multiple middleware, including ROS, ROS 2, YARP, ZeroMQ, and MQTT. To access all resources relating to Wrapyfi, visit https://modular.ml or the modular ML organization on GitHub.