Advisory Board and Editors Quantum Computing
Siddhartha Bhattacharyya
Dr. Siddhartha Bhattacharyya is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 60 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been a member of the organizing and technical program committees of several national and international conferences.
His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.
Aswani Kumar Cherukuri
Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.
Elise Dumont
Dr. Elise Dumont is a professor at the Université Côte d'Azur, Institut de Chimie de Nice.
She is an expert in Computational Chemistry and Biochemistry, using methods ranging from quantum mechanics (mainly DFT) to classical mechanics.
Sandra Gesing
Scientific Outreach and DEI Lead at the Discovery Partner Institute, University of Illinois Chicago
Before: Associate Research Professor (Dep. of Computer Science and Engineering and Center for Research Computing) at the University of Notre Dame, USA
Research associate in the Data-Intensive Research Group at the University of Edinburgh, UK; Research Associate in the Applied Bioinformatics Group at the University of Tübingen, Germany.
Perennial experience in industry as head of a system programmer group, project manager, system developer.
Catherine F Higham
Dr. Catherine Higham works at the interface between mathematics, deep learning and experimental science. Her first degree was in mathematics and her PhD involved mathematical modelling and statistical inference applied to somatic genetic mutations arising in myotonic dystrophy and Huntington's disease. Subsequent areas of research include Bayesian inference in nonlinear ODEs and the circadian clock. Currently, she is developing and applying deep learning techniques to inverse problems arising in novel quantum imaging technologies such as the single pixel camera and lidar. She also has an interest in quantum machine learning and framing problems for quantum annealing.
Łukasz Szeleszczuk
Dr. Łukasz Szeleszczuk is a Professor at the Medical University of Warsaw. His main areas of interest are DFT calculations, especially for the solid state systems, and solid state NMR spectroscopy.
Su Yan
Dr. Su Yan received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, in 2016. Currently, he is an Assistant Professor and Director of Graduate Studies in the Department of Electrical Engineering and Computer Science, at Howard University, Washington, DC. He has authored or coauthored over 100 papers in refereed journals and conferences and one book chapter. 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, domain decomposition methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Life Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the ACES Early Career Award “for contributions to linear and nonlinear electromagnetic and multiphysics modeling and simulation methods" by ACES in 2020, the P. D. Coleman Outstanding Research Award and the Yuen T. Lo Outstanding Research Award by UIUC, in 2015 and 2014, respectively. He was also a recipient of the Edward E. Altschuler AP-S Magazine Prize Paper Award by IEEE Antennas and Propagation Society in 2020.