Omar Shalash is an experienced Assistant Professor at the Arab Academy for Science, Technology, and Maritime Transport (AASTMT), Egypt. With a robust academic background, he earned his Ph.D. in Biomedical Engineering from the University of Strathclyde, UK, where his doctoral research centered on the development of an autonomous robotic system for unicompartmental knee arthroplasty. He holds both a Master’s and Bachelor’s degree in Computer Engineering from AASTMT, where he graduated with distinction. Omar’s research has made significant contributions to the fields of robotics, artificial intelligence, and digital twin technologies. His work on autonomous robotic systems has been particularly impactful in healthcare, with applications such as robotic-assisted intravenous injection systems aimed at improving precision and efficiency in medical procedures. He is the Principal Investigator for the Portable Robotic-Assisted Intravenous Injection project, which was recently accepted for funding by the Information Technology Academia Collaboration (ITAC). His ongoing research explores the integration of AI-driven technologies in healthcare, notably in the use of thermography and digital twin models for breast cancer detection. In the realm of electric vehicles, Omar has been at the forefront of research involving cloud-based battery management systems. His current project leverages digital twin technology to develop data-driven solutions for enhancing the performance and lifespan of Li-Ion batteries in electric vehicles. His research also extends into the agricultural sector, where he collaborates with Plug and Grow to integrate AI and robotics into hydroponic farming. Through this industry-academic partnership, he has supervised projects that utilize machine learning to optimize the growth conditions of crops like Batavia lettuce. Omar has authored numerous publications in high-impact, peer-reviewed journals, with topics ranging from swarm robotics to neural network applications in industrial diagnostics. His paper on decentralized swarm communication algorithms for efficient task allocation in robotic systems was particularly well-received, advancing the field of multi-agent systems. His ongoing projects continue to push the boundaries of robotics and AI, with current research focusing on enhancing speaker verification systems using BiLSTM and Transformer networks. In addition to his academic research, Omar has made significant contributions to research mentorship. He currently supervises several Master’s theses and actively mentors student teams preparing for international competitions like the International Science and Engineering Fair (ISEF). His academic excellence and industry collaboration make him a highly sought-after expert, not only in Egypt but in international circles as well. Omar has consistently sought to bridge the gap between academia and industry, working closely with government and private institutions to apply cutting-edge AI and robotics technologies to solve real-world challenges. His leadership in research and academia, combined with his practical expertise, continues to drive innovation in healthcare, renewable energy, and precision agriculture.
