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About

Najat Almasarwah is a pioneering researcher at the forefront of human-robot collaboration and intelligent manufacturing systems, with a particular focus on assembly and disassembly line optimization within Industry 4.0 and 5.0 frameworks. Her work addresses one of modern manufacturing's most pressing challenges: seamlessly integrating collaborative robots with human workers to maximize efficiency, flexibility, and sustainability across production environments. Almasarwah's most influential contributions include her foundational investigations into Assembly System 4.0, where she examined how collaborative robots can be strategically deployed in mixed-model assembly operations, earning over 26 combined citations across two landmark studies. Her research extends beyond assembly into the emerging domain of disassembly line balancing, where she applies advanced heuristic algorithms and optimization models to solve complex task allocation problems under human-robot cooperation constraints — work that directly supports circular economy principles and sustainable remanufacturing practices. Her 2022 paper on Human-Cyber-Physical Disassembly Workstation 5.0 reflects her forward-thinking approach, bridging cutting-edge cyber-physical systems with real-world sustainability goals. Through her growing body of work, Almasarwah has established herself as a significant voice in smart manufacturing research, offering both theoretical frameworks and practical solutions for the factories of tomorrow.