Amirhossein Ghazisaeidi
Nokia Bell Labs, FranceFor theoretical and experimental contributions advancing the capacity of optical communications with coherent detection.
Amirhossein Ghazisaeidi’s work is broadly in the area of optical communications and optical transmission systems, and he has a range of specific interests and research projects. When he first joined Nokia Bell Labs France, he focused on experimental research on high bit rates, long-haul transmission systems, and digital signal processing for coherent networks. As the technology and his expertise matured, he started to explore quantum key distribution, specifically continuous variable quantum key distribution. This enabled Amirhossein to apply his existing knowledge to an emerging area.
He is currently interestedin how artificial intelligence and machine learning can aid optics research. This is a very popular area right now, and what sets his research apart is his focus on trying to solve practical problems. He shares, “The tools are easy to use, and anyone can get some sort of result. I’m talking about using AI to speed up our process so we can solve meaningful problems.” So far, his group has developed a model that speeds up sophisticated modeling theories of nonlinearity in optical transmission. As they continue to teach their algorithm, the model continues to speed up, allowing faster results and further exploration.
Amirhossein is excited about the future of his field and believes there are many interesting areas just starting to mature. He believes that optical communications technologies will be imperative as we continue to develop AI and expand data centers. This is due to both supply and demand: the optical technologies are mature enough to apply, and the applications are ready for new developments and improvements. Communications doesn’t mean two people talking online anymore; it also implies communication between machines or GPUs. To be fast enough, photons must be used. Not only that, but developments in optical fibers and satellites are changing the landscape of what is possible.
About a decade ago, Amirhossein’s outlook on the field was not as optimistic. He recalls a lull between research maturing and emerging applications that felt like the field might be in trouble. Rather than pivot, he persevered. That decision has served him well, and he encourages others to follow his example. Research takes time and patience, and it may be years before the results of an experiment are clear. He also advises young scientists to know themselves. He says, “If you don’t love research, it is torture. You have to be able to live with the unknown.”
Living with the unknown was perhaps a difficult lesson for Amirhossein during his graduate studies. From an early age, he was interested in geometry and how the methodical process could render elegant and sophisticated solutions. He was curious and wanted to dive deeply into his research topics as he continued his studies. One of the most important lessons he learned from his PhD advisor, Leslie Rusch, was how to find the balance between the deep dives and “being pragmatic.” While a thorough understanding of each area is vital, scientists must also avoid the spiral. Getting results is just as important, even if they don’t match your expectations.
In addition to his robust and varied research interests, Amirhossein has hobbies outside of science. When he was young, he was deeply interested in traditional Iranian music, but later, he became interested in classical music. Unfortunately, he didn’t have access to high-level training and ultimately chose to pursue a career in science. Today, he enthusiastically supports the theater and aims to see shows most weekends.
Photo courtesy of Amirhossein Ghazisaeidi
Profile written by Samantha Hornback
