Max Robotics — Global Service Robot Directory + US Certification

About

Mohammad Haddadnia is a leading researcher in autonomous materials discovery and laboratory automation, with a focus on accelerating the closed-loop discovery of functional organic materials. His major contributions center on developing cloud-based, delocalized workflows that enable asynchronous, collaborative experimentation across geographically dispersed laboratories. His most-cited work, "Delocalized, asynchronous, closed-loop discovery of organic laser emitters" (2024, 130 citations), demonstrates a pioneering strategy that integrates robotic synthesis, automated characterization, and machine learning to rapidly identify high-performance organic laser emitters without requiring all steps to occur in a single location. Haddadnia also created *Chemspyd*, an open-source Python interface for Chemspeed robotic platforms (23 citations), which enables dynamic, programmable communication with automated chemistry systems, laying the groundwork for more flexible and scalable self-driving laboratories. His work bridges software engineering, robotics, and materials science, offering practical tools and frameworks that lower barriers to entry for automated experimentation. By enabling delocalized, asynchronous discovery cycles, Haddadnia is helping to transform how functional materials are designed, synthesized, and optimized, with broad implications for accelerating innovation in organic electronics and photonics.