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I am currently looking for highly self-motivated and enthusiastic students who are interested in pursuing Ph.D. degrees in the area of applied and computational electromagnetics. Students with a solid background in mathematics, physics, and computer science are encouraged to apply. If interested, please contact me at su.yan@howard.edu with your personal statement and CV.
To officially apply, please follow the general guidelines by Howard University Graduate School and the specific requirements of the Electrical and Computer Engineering program.
Electromagnetic Modeling & Simulation Methods
Multiphysics & Multiscale Modeling & Simulation Methods
Advanced Numerical Methods Towards Accuracy, Efficiency, & Stability
Engineering Applications
Dr. Su Yan received the B.S. degree in electromagnetics and microwave technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2005, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Illinois at Urbana–Champaign, Urbana, IL, USA, in 2012 and 2016, respectively.
From August 2016 to July 2018, he was a Postdoctoral Research Associate and an Instructor with the Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign. He joined the Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, USA, in August 2018, and is currently an Assistant Professor. He has authored or coauthored over 100 papers in refereed journals and conferences. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral equation based methods, fast algorithms, and preconditioning techniques.
Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the Best Student Paper Award by the IEEE Chengdu Section in 2010, the Best Student Paper Award (The First Place Winner) at the 27th International Review of Progress in ACES, Williamsburg, VA, USA, in 2011, the USNC/URSI Travel Fellowship Grant Award by the National Academies in 2015, and the Best Student Paper Award (The First Place Winner) at the IEEE ICWITS/ACES 2016 Conference, Honolulu, HI, USA, in 2016. He was also a recipient of the Yuen T. Lo Outstanding Research Award and the P. D. Coleman Outstanding Research Award by the Department of Electrical and Computer Engineering, University of Illinois at Urbana–Champaign, in 2014 and 2015, respectively. His name appeared in the University of Illinois at Urbana–Champaign's List of Teachers Ranked as Excellent by Their Students in 2012 with an outstanding rating (top 10%). He serves as a Reviewer for multiple journals and conferences including Proceedings of the IEEE, IEEE Antennas and Propagation Magazine, IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, and IEEE Transactions on Magnetics. He is also an Editorial Board Member for the Advances in Mathematical Physics and serves as a Lead Guest Editor for the International Journal of Antennas and Propagation.
My current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral equation based methods, fast algorithms, and preconditioning techniques.
Recent Computer Science Ph.D. graduates Abdulhamid Adebayo (far right) and Ronald Doku (second to the right) joined tech giants IBM Research and Oracle as researchers in cybersecurity and data science. Dr. Adebayo joined IBM Research as Hybrid Cloud Security Researcher and Dr. Doku joined Oracle, Inc. as Data Scientist. Both were graduate research assistants and advisees of Danda B. Rawat, Ph.D., Computer Science Professor and Director of Howard University’s Data Science & Cybersecurity Center (DSC2). Read More >>
Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>
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