Michael Crawford | Quantum Computing | Distinguished Scientist Award

Prof. Michael Crawford | Quantum Computing | Distinguished Scientist Award

Imperial College | London

Professor Michael Angus Crawford, BSc, PhD, FRSB, FRSC, FRCPath, is an internationally renowned British scientist whose pioneering research has transformed modern understanding of brain chemistry, maternal nutrition, and human evolution. A graduate of the University of Edinburgh and the University of London, he is widely recognized as a founding authority on the essentiality of long-chain polyunsaturated fatty acids—particularly docosahexaenoic acid (DHA)—for brain development, structure, and function. Professor Crawford currently serves as a Visiting Professor in the Department of Metabolism, Digestion and Reproduction at Imperial College London, based at the Chelsea and Westminster Hospital Campus. He is Chief Investigator of the FOSS clinical trials, which examine maternal lipid nutrition and its impact on pregnancy outcomes and neurodevelopment. His early prediction in 1972—that failure to meet the brain’s unique nutritional needs would lead to a rise in mental ill health—has since been validated through global health audits, inspiring his continued advocacy for maternal and child nutrition. His distinguished career spans academic leadership, clinical research, global advisory roles, and foundational contributions to nutritional science. He founded the Institute of Brain Chemistry and Human Nutrition and has served as trustee for multiple maternal and child health foundations. His international influence includes major consultancies with WHO, FAO, UNICEF, governments, major research councils, and global industries. Professor Crawford’s honours include the Chevreul Medal, the Avicenna Medal, the Order of the Rising Sun (Japan), the Brain of the Year Award, the Alexander Leaf Lifetime Award, and multiple international gold medals. He has authored seminal books—such as What We Eat Today, The Driving Force, Nutrition and Evolution, and The Shrinking Brain—and published extensively on brain evolution, fatty acid biochemistry, public health, and environmental influences on neurological development.

Citation Metrics (Google Scholar)

1400
1000
600
200
0

Citations
1,379

Documents
161

h-index
21

Citations

Documents

h-index



View Google Scholar Profile

Featured Publications

Boris Wembe | Quantum Computing | Best Researcher Award

Dr. Boris Wembe | Quantum Computing | Best Researcher Award

Dr. Boris Wembe | Paderborn University | Germany

Dr. Boris Wembe is a senior researcher at Paderborn University, Germany, specializing in optimal control theory and its diverse applications in quantum systems, geometric control, partial differential equations (PDEs), and machine learning. His research integrates analytical rigor with computational innovation, focusing on topics such as quantum optimal control, turnpike theory, and structure-preserving numerical methods. He earned his Ph.D. in Applied Mathematics from the University Toulouse III – Paul Sabatier, where he worked on geometric and numerical methods for optimal control and Zermelo navigation problems. Prior to his doctoral studies, he completed a master’s degree in Partial Differential Equations and a bachelor’s degree in Mathematics from the University of Yaoundé I, Cameroon. Dr. Wembe’s research achievements include developing efficient higher-order numerical algorithms for quantum control using the Cayley transform, advancing the theoretical understanding of the turnpike property in control systems, and exploring the geometric and numerical aspects of Zermelo navigation problems within Finsler geometry. His works have been published in leading journals such as Physical Review Research, Mathematical Control, Signals, and Systems, and ESAIM: Control, Optimisation and Calculus of Variations. He is actively involved in mentoring master’s and bachelor’s students and has organized seminars and symposia promoting the intersection of optimal control and machine learning. Beyond academia, he is committed to promoting mathematical sciences among students through outreach initiatives and lectures across Europe and Africa. Dr. Wembe’s contributions have been recognized with fellowships, including one at SISSA (Italy), and grants such as the SMAI “BOUM-projects” for young researchers. His ongoing projects include studies on “Trim turnpikes for discrete optimal control problems with symmetries” under review by DFG. Fluent in multiple languages and skilled in computational tools like Python, Matlab, and Julia, Dr. Wembe represents a dynamic blend of theoretical insight, computational expertise, and educational leadership in applied mathematics.

Profile: Google Scholar

Featured Publications 

Wembe, B., Bonnard, B., & Cots, O. (2021). A Zermelo navigation problem with a vortex singularity. ESAIM: Control, Optimisation and Calculus of Variations, 27, S10.

Bonnard, B., Cots, O., Gergaud, J., & Wembe, B. (2022). Abnormal geodesics in 2D-Zermelo navigation problems in the case of revolution and the fan shape of the small time balls. Systems & Control Letters, 161, 105140.

Bonnard, B., Rouot, J., & Wembe, B. (2022). Accessibility properties of abnormal geodesics in optimal control illustrated by two case studies. arXiv preprint arXiv:2202.11545.

Balsa, C., Cots, O., Gergaud, J., & Wembe, B. (2020). Minimum energy control of passive tracers advection in point vortices flow. In APCA International Conference on Automatic Control and Soft Computing (pp. 232–242).

Cots, O., Gergaud, J., Goubinat, D., & Wembe, B. (2023). Singular versus boundary arcs for aircraft trajectory optimization in climbing phase. ESAIM: Mathematical Modelling and Numerical Analysis, 57(2), 817–839.

Bonnard, B., Cots, O., & Wembe, B. (2023). Zermelo navigation problems on surfaces of revolution and geometric optimal control. ESAIM: Control, Optimisation and Calculus of Variations, 29, 60.