Advisory Board and Editors Algorithms & Analysis of Algorithms
Md Zia Uddin
DR. MD ZIA UDDIN received his bachelor’s degree in computer science and engineering from International Islamic University Chittagong, Bangladesh, in 2004. He then completed his MS Leading to PhD degree in Biomedical Engineering from Kyung Hee University, South Korea, in 2011. Currently, he is a senior research scientist
in the human-computer interaction group at SINTEF Digital, Oslo, Norway, where he continues contributing to his research field. His research primarily focuses on data and feature analysis, physical and mental healthcare, human-machine interaction, pattern recognition, deep learning, and artificial intelligence. His innovative work has been published in prestigious journals such as Information Fusion, IEEE Transactions on Consumer Electronics, and Future Generation Computer Systems, showcasing his peers’ high regard for his research. His research outcomes have earned him best/outstanding paper awards at several peer-reviewed international conferences. He received a Gold Medal Award in 2008 for academic excellence in his undergraduate studies. He was also awarded the Korean Government IT Scholarship and the Kyung Hee University President Scholarship from March 2007 to February 2011 to pursue his PhD. He has extensive teaching experience, having taught more than 20 computer science-related courses at various academic levels, from bachelor’s to PhD, and supervised many students’ research works at these levels as well. He is a senior member of IEEE. He has been editors any several prestigious journals such as PLOS One, Sensors, IEEE Access, and the International Journal of Computers and
Applications, Frontiers in Human Neuroscience, and a keynote speaker at various international conferences. Dr. Zia has over 170 research publications (around half as the leading author), including international journals, conferences, book chapters, and single-authored books. His Google Scholar citations are more than 6000. He has led work packages and tasks in many national and international research projects. His significant contributions
have earned him recognition in the World’s Top 2% Scientists (career-long and single-year-based), a list by Stanford University and Elsevier BV.
Leonilde Varela
The main research interests of Leonilde Varela rely on the Manufacturing Management domain: Production Planning, Control and Optimization and in Collaborative Paradigms, Networks and Decision Making Models, Methods and Tools, and Systems, Web Applications and Services for supporting Engineering and Production Management. She focuses on exploring international scientific collaborations, mainly in terms of joint publications, projects, and special issues proposals, with colleagues from several institutions. She is an active member in the organizing and scientific committees of several internationa conferences and integrates several research networks and organizations, such as: Euro Working Group of Decision Support Systems (EWG-DSS); Institute of Electrical and Electronics Engineers (IEEE); Industrial Engineering Network (IE Network); Institute of Industrial and Systems Engineers (IISE); Machine Intelligence Research Labs, Scientific Network for Innovation and Research Excellence (MirLabs).
Jeffrey S. Vitter
Past Chancellor of the University of Mississippi and Distinguished Professor of Computer and Information Science. Previously Provost and Executive Vice Chancellor and Roy A. Roberts Distinguished Professor at the University of Kansas. Previously served in administrative leadership and faculty roles at Brown, Duke, Purdue, and Texas A&M. B.S. with highest honors in mathematics in 1977 from Notre Dame; Ph.D. in computer science in 1980 from Stanford; and M.B.A. in 2002 from Duke. Over 300 publications, primarily dealing with algorithmic aspects of big data. Fellow of the Guggenheim Society, AAAS, ACM, and IEEE.
Shibiao Wan
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >50 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Associate Editor/Academic Editor/Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals.
He is a Scientific Program Committee (SPC) member for American Medical Informatics Association (AMIA) Annual Symposium and a Technical Program Committee (TPC) member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, AMIA, ISCB and ACM and an IEEE Senior Member.
Jingbo Wang
Prof Wang's research spans several disciplines including quantum dynamics theory, quantum computation and information, atomic physics, and computational science. She has published extensively, including a recent book published by Springer, four book chapters, and numerous journal papers. Prof Wang currently leads the quantum dynamics and computation group at The University of Western Australia. She and her research team have developed advanced numerical techniques to solve problems in both quantum and classical domain.
Shuihua Wang
Shuihua Wang received her B.S. Degree in information science and engineering from Southeast University in Nanjing, China, in 2008; the M. S. degree in Electrical Engineering from the City College of New York, USA in 2012, and the Ph. D degree in Electrical Engineering from Nanjing University, Nanjing, China, in 2017. She visited Kyushu Institute of Technology in 2017. From 2013 to 2018 she joined Nanjing Normal University, and worked as an assistant professor. From 2018-2019, she served in Loughborough University. She is now working as a research associate at the University of Leicester. Her research interests focus on Machine learning, Deep learning, biomedical image processing. She has published over 30 papers in peer-reviewed international journals and conferences in these research areas. She was serving as a professional reviewer for many well-reputed journals and conferences including IEEE Transactions on Neural Networks and Learning Systems, Neuron Computing, Pattern recognition, scientific reports, and so on. She is currently serving as Guest Editor-in-Chief of Multimedia Systems and Applications, Associate editor of Journal of Alzheimer’s Disease and IEEE Access. She is a member of the IEEE.
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.
Eftim Zdravevski
Head of the Institute for Intelligent Systems and an Associate Professor at the Faculty of Computer Science and Engineering of the Saints Cyril and Methodius University in Skopje, Macedonia.
His research interests are in FinTech, Big Data, ML, cloud computing, time series analysis, etc.
Founder and CEO of MAGIX.AI - a company specialized in applied AI for predictive maintenance, FinTech, AdTech, and E-commerce. Participated in and led many national and international research projects related to ML in various domains.
Published over 150 papers in peer-reviewed international conferences and top-ranked journals, of which over 100 are indexed in Web of Science.
Yu-Dong Zhang
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.