Advisory Board and Editors Scientific Computing & Simulation
Massimiliano Fasi
Massimiliano Fasi is a Lecturer in Software Engineering at the School of Computer Science of the University of Leeds. He obtained a PhD from the University of Manchester in 2019, and has held positions in the UK (University of Manchester and Durham University) and in Sweden (Örebro University).
His research interests include scientific computing, computer arithmetic, and numerical analysis, with particular focus on numerical linear algebra.
Ian Foster
I am a computer scientist with a predilection for building software systems (and, more recently, for deploying services) that solve problems in the sciences. I am a Distinguished Fellow at Argonne National Laboratory and a Professor at the University of Chicago. I am affiliated, in particular, with the Department of Computer Science, Data Science and Learning Division, and Institute for Molecular Engineering.
Simon DW Frost
Reader in Pathogen Dynamics at the University of Cambridge; formerly Adjunct Associate Professor in the Dept. of Pathology, University of California San Diego (UCSD). Graduated with a BA in Natural Sciences (1st class), Trinity College, Cambridge (1992), DPhil in Mathematical Biology, Merton College, Oxford (1996). Postdoctoral positions at Princeton University, Oxford University, University of Edinburgh and UCSD. Awards include: NATO Postdoctoral Fellowship (1996), MRC Nonclinical Training Fellowship (1997-2000), a Royal Society Wolfson Research Merit Award (2008-2013), and Thomson-Reuters Highly Cited Researcher awards in 2014, 2015, and 2016.
Andrew R Gray
I am a biostatistician in the Biostatistics Centre at the University of Otago, a role I have held since 2004. Most of my work involves collaborating on a wide range of research projects in the health sciences, particularly in paediatric obesity, sleep, and physical activity; respiratory epidemiology, mostly asthma and COPD; dentistry; and health systems. I also work on statistical methods research, mostly topics inspired by these collaborations.
Prior to my current position I was a software metrics and machine learning researcher in the Department of Information Science at the same institution.
Feng Gu
Feng Gu is currently an associate professor of computer science at College of Staten Island, The City University of New York, and the doctoral faculty member of Graduate Center of The City University of New York. He is the recipient of Natural Science Foundation Research Initiation Award. His research interests include modeling and simulation, complex systems, high performance computing, and bioinformatics.
Daniel S. Katz
Dan's interest is in the development and use of advanced cyberinfrastructure to solve challenging problems at multiple scales. His technical research interests are in applications, algorithms, fault tolerance, and programming in parallel and distributed computing, including HPC, Grid, Cloud, etc. He is also interested in policy issues, including citation and credit mechanisms and practices associated with software and data, organization and community practices for collaboration, and career paths for computing researchers.
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Bilal Khalid
Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, and a master’s in International Business Management from Stamford International University, Bangkok. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sustainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.
Haseeb A. Khan
Distinguished Professor of Biochemistry at College of Science, King Saud University, Riyadh, Saudi Arabia. Group Leader of Analytical and Molecular Bioscience Research Group and a Chair Professor at Research Chair for Biomedical Applications of Nanomaterials, King Saud University. PhD from Aligarh Muslim University, Aligarh, India and received scientific trainings in USA, UK, Denmark and Finland. Fellow of the Royal College of Pathologists (FRCPath) and the Royal Society of Chemistry (FRSC), UK. Authored more than 300 publications including 2 books and 20 book chapters. Recipient of Microsoft eScience Award. Listed in Top-2% World Ranking of Scientists. Research interests are clinical biochemistry, analytical chemistry, environmental chemistry, nanobiotechnology, molecular conservation, bioinformatics, pharmacology, and toxicology.
Valsaraj KT
Former Vice President for Research & Economic Development, currently the Charles and Hilda Roddey Distinguished Professor in Chemical Engineering and Ike East Professor in Chemical Engineering, Louisiana State University. Elected Fellow of the American Association for the Advancement of Science (AAAS), the American Institute of Chemical Engineers (AIChE) and the National Academy of Inventors (NAI). Recipient of AIChE/ACS Charles E Coates award in 2012. Research area is in environmental chemical engineering. He has broad research experience in wastewater treatment, atmospheric chemistry and, modeling the fate and transport of contaminants in all three environmental media (air, water and soil/sediment). Present research is concerned with the transformations of pollutants on atmospheric aerosols (fog, rain, ice and snow), mercury sequestration in sediments and, studies on chemical dispersant design for sub-sea oil/gas spill. He is the author of 1 widely accepted textbook (with four editions), 200 peer-reviewed journal articles, 27 book chapters and 2 U.S. patents. He has made over 250 national and international presentations and 28 invited seminars and plenary lectures on his research. His research has been supported by the NSF, EPA, DOE, DOD, USGS and several private industries.
Marco Lapegna
In 1991 Marco Lapegna received his PhD in Applied Mathematics and Computer Science at the University of Naples Federico II (Italy), and since 2001 is a professor of Computer Science at the Department of Mathematics and Applications of the same university.
His main research interests concern methods, algorithms, and software for parallel and distributed computing environments applied to computational mathematics and machine learning, taking into account the influence of the technological evolution on them (cluster computing, multicore computing, grid computing, cloud, and edge computing). He has an active academic life with several institutional coordination duties.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).