Radu I. Bot is Professor for Applied Mathematics with Emphasis on Optimization at the Faculty of Mathematics of the University of Vienna and Member of the Research Platform \Data Science@Uni Vienna". Currently, he is the Vice Dean for Research of the Faculty of Mathematics and the Speaker of the Vienna Doctoral School \Mathematics" of the University of Vienna. He received a Diploma and a M.Sc. degree in Mathematics from the Babes-Bolyai University Cluj-Napoca, and a Ph.D. degree and the Habilitation in Mathematics from Chemnitz University of Technology. Radu I. Bot's research interests include nonsmooth analysis, numerical algorithms for convex and nonconvex optimization, monotone operator theory, dynamical systems, and optimization methods for data science. His research is funded by the Austrian Science Fund, the German Research Foundation, the Romanian National Research Council, the Australian Research Council, and by industrial partners. He is (co-) author of the books Duality in Vector Optimization and Conjugate Duality in Convex Optimization published by Springer. Radu I. Bot is member of the Editorial Board of the journals Minimax Theory and its Applications, Applied Mathematics and Optimization, Optimization Methods and Software, Optimization Letters, Journal of Optimization Theory and Applications, and SIAM Journal on Optimization.

Mingyi Hong is an Assistant Professor in the Department of Electrical and Computer Engineering, University of Minnesota. He is serving on the IEEE Signal Processing for Communications and Networking (SPCOM), and Machine Learning for Signal Processing (MLSP) Technical Committees. He has coauthored works that have been selected as finalists for the Best Paper Prize for Young Researchers in Continuous Optimization in 2013, 2016, and won a best student paper award in 2018 Asilomar Conference on Signals, Systems and Computers (as a senior author). His research interests are primarily in optimization theory and its applications in signal processing and machine learning.

Yangyang Xu is now a tenure-track assistant professor in the Department of Mathematical Sciences at Rensselaer Polytechnic Institute. He received his B.S. in Computational Mathematics from Nanjing University in 2007, M.S. in Operations Research from Chinese Academy of Sciences in 2010, and Ph.D from the Department of Computational and Applied Mathematics at Rice University in 2014. His research interests are optimization theory and methods and their applications such as in machine learning, statistics, and signal processing. He developed optimization algorithms for compressed sensing, matrix completion, and tensor factorization and learning. Recently, his research focuses on first-order methods, operator splitting, stochastic optimization methods, and high performance parallel computing. He has published over 30 papers in prestigious journals and conference proceedings. His work on block coordinate descent method for multi convex optimization has won the gold medal award in 2017 International Consortium of Chinese Mathematicians.

Prof. Chuangyin Dang received PhD in Operations Research/Economics from Tilburg University, The Netherlands, in 1991. He currently is Acting Head and Professor in Department of Systems Engineering and Engineering Management, City University of Hong Kong. Prior to this, Prof. Dang held faculty positions at the University of California at Davis, Delft University of Technology, and the University of Auckland, and was research fellow at the Cowles Foundation for Research in Economics, Yale University. He is best known for the inventions of the D1-triangulation of the n-dimensional Euclidean space and simplicial path-following methods for integer programming. Prof. Dang received Outstanding Research Achievements Award from Tilburg University in 1990. His research interests include game theory and applications, systems modeling and optimization, economics and computation, pattern recognition and machine learning.

Yu-Hong Dai received his doctor degree in nonlinear optimization at Institute of Comptutional Mathematics and Scientific/Engeering Computing of Chinese Academy of Sciences (CAS) in 1997 (Supervisor: Ya-xiang Yuan). Now he is Feng Kang distinguished professor (and also Assistant President) of Academy of Mathematics and Systems Science (AMSS) of CAS. His research interests mainly lie in nonlinear optimization and various optimization applications. Specifically, he is quite interested in proposing simple but efficient optimization methods and in providing theoretical properties for existing elegant optimization methods. He also pays a lot attention on optimization problems arising from electricity, petroleum, natural gas, logistics and wireless communication. He has published many papers in various journals, including Mathematical Programming, SIAM Journal on Optimization, Annals of Operations Research, SIAM Journal on Imaging Sciences, SIAM Journal on Matrix Analysis, IEEE Transactions on Signal Processing, Mathematics of Computation, Numerische Mathematics, IMA Journal on Numerical Analysis and Journal of the OR Society of China. Because of his accomplishments, he received the Fifth ZhongJiaQing Mathematics Award (1998), Second Prize of the National Natural Science of China in 2006 (Rank 2), the Tenth Science and Technology Award for Chinese Youth (2007), Best Paper Award of International Conference on Communication (2011), the China National Funds for Distinguished Young Scientists (2011), Feng Kang Prize of Scientific Computing (2015), Shiing-Shen Chern Mathematics Award (2017) and the first Xiao Shutie Applied Mathematics Prize (2018). Currently, Prof. Dai is vice president of Chinese OR Society (ORSC), and was previously the president of Chinese Mathematical Programming Subsociety of ORSC. He has held editorial positions for several journals, including International Transactions in Operational Research (ITOR), Asia Pacific Journal of Optimization (APJOR）, Science China: Mathematics （SciChina:Math), Journal of the OR Society of China.

Jianwei Huang is a Presidential Chair Professor and the Associate Dean of the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He is also the Associate Director of Shenzhen Institute of Artificial Intelligence and Robotics for Society. He received the Ph.D. degree from Northwestern University in 2005, and worked as a Postdoc Research Associate at Princeton University during 2005-2007. He has been an IEEE Fellow, a Distinguished Lecturer of IEEE Communications Society, and a Clarivate Analytics Highly Cited Researcher in Computer Science. Dr. Huang has published more than 250 leading international journal and conference papers in areas of network resource optimization and economics, with a total Google Scholar citations of more than 10,000. He has co-authored six books, including the textbook on "Wireless Network Pricing.” He is the co-author of 9 Best Paper Awards, including IEEE Marconi Prize Paper Award in Wireless Communications in 2011. He received the CUHK Young Researcher Award in 2014 and IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2009. He has served as an Associate Editor many leading IEEE journals in communications and networking, and recently he is appointed as the Associate Editor-in-Chief of the newly established IEEE Open Journal of Communications Society. He has served as the Chair of IEEE ComSoc Cognitive Network Technical Committee and Multimedia Communications Technical Committee. He is the recipient of IEEE ComSoc Multimedia Communications Technical Committee Distinguished Service Award in 2015 and IEEE GLOBECOM Outstanding Service Award in 2010. More detailed information can be found at http://jianwei.ie.cuhk.edu.hk/.

Yi-Shuai Niu holds a professor at Shanghai Jiao Tong University (SJTU), joint faculty in the SJTU-Paristech Elite Institute of Technology, and the School of Mathematical Sciences. His researches are mainly focused on Optimization (Difference-of-Convex Programming, Polynomial Optimization, Mixed-Integer Optimization and Semi-Definite Programming), and high performance computing in multidisciplinary sciences (Portfolio Investment, Deep Neural Network, Turbulent Combustion, and Quantum Chemistry). He received double master degrees: Pure and Applied mathematics, and engineering mathematics from the “Grand école” National Institute of Applied Sciences in France (2006), and a Ph.D degree in Operations Research from the same University (2010). He had held research positions at National Institute of Applied Science (2007-2012), French National Center for Scientific Research (CNRS) and Stanford University (2010-2012), and University of Pierre & Marie Currie – Paris 6 (2013-2014). He received the Outstanding Teaching Award in Shanghai in 2017, Teaching Achievement Award at SJTU in 2016, and INFORMS best paper award for MCM/ICM contest in 2017. Dr. Niu had published several articles on Computational Optimization and Application, Applied Mathematics and Computation, Combustion and Flame etc. He served as reviewer for several academic journals, including Mathematical Programming, Computational Optimization and Applications, Journal of Global Optimization, and Flow-Turbulence and Combustion.

Junfeng Yang, Professor, Department of Mathematics, Nanjing University. He received his PhD in 2009 under the supervision of Prof. Bingsheng He (Nanjing University) and Prof. Yin Zhang (Rice University). He is mainly interested in designing, analyzing and implementing robust and efficient algorithms for solving optimization problems arising from signal and image processing, compressive sensing and sparse optimization, and so on. Together with collaborators, he has developed Matlab packages FTVd for image deblurring and YALL1 for L1 problems in compressive sensing.

Jinyan Fan is a professor in School of Mathematical Sciences, Shanghai Jiao Tong University. Her research interest lies mainly in nonlinear optimization methods and theory. Currently, she focused on numerical methods for nonlinear equations, completely positive optimization and tensor computation.

Zaiwen Wen. Peking University. He holds a Ph.D in Operations Research from Columbia University (2009). His research interests include large-scale computational optimization and their applications in sciences and engineering. He has published papers on journals including SIAM J. on Optimization, SIAM J. on Scientific Computing, SIAM J. on Imaging Sciences, SIAM Journal on Numerical Analysis, SIAM Journal on Matrix Analysis and Applications, Mathematical Programming, etc. He was awarded the National Natural Science Foundation of China for Excellent Young Scholars in 2013, the Young top-notch talent in 2015 and the Science and Technology Award for Chinese Youth in 2016.

Bo Jiang received the Ph.D. degree in operations research from University of Minnesota in 2013. He is currently an Associate Professor at the Research Institute for Interdisciplinary Sciences, School of Information Management and Engineering, Shanghai University of Finance and Economics. His research interests are centered around polynomial optimization and tensor optimization with applications to signal processing, machine learning and bioinformatics.

Wotao Yin received his Ph.D. degree in operations research from Columbia University in 2006. He is currently a Professor with the Department of Mathematics, University of California, Los Angeles. His research interests include computational optimization and its applications in signal processing, machine learning, and other data science problems. During 2006–2013, he was at Rice University. He was the NSF CAREER award in 2008, the Alfred P. Sloan Research Fellowship in 2009, and the Morningside Gold Medal in 2016, and has coauthored five papers receiving best paper-type awards. He co-invented fast algorithms for sparse optimization and has been working on optimization algorithms for nonconvex and large-scale problems.

Ruoyu Sun is an assistant professor in the Department of Industrial and Enterprise Systems Engineering Department (ISE) and Coordinate Science Lab (CSL), University of Illinois at Urbana-Champaign. His recent research interests lie in large-scale optimization and non-convex optimization in machine learning. Before joining UIUC, he was a visiting scientist at Facebook AI Research and was a postdoctoral researcher at Stanford University. He obtained PhD in electrical engineering from University of Minnesota, and B.S. in mathematics from Peking University. He has won the second place of INFORMS George Nicholson student paper competition, and honorable mention of INFORMS optimization society student paper competition.

Dr. Xin Liu, Associate Professor and Doctoral Supervisor of Academy of Mathematics and Systems Science (AMSS), Chinese Academy Sciences (CAS). He got his bachelor’s degree from the School of Mathematical Sciences, Peking University in 2004, and PhD from the University of Chinese Academy of Sciences in 2009, under the supervision of Professor Ya-xiang Yuan. He visited Zuse Institute Berlin and Rice University for one year, respectively, and Courant Institute of Mathematical Sciences, New York University for half a year after graduation. His research interests include optimization problems with orthogonality constraints, linear and nonlinear eigenvalue problems, nonlinear least squares and distributed optimization. Dr. Xin Liu is the principal investigator of four NSFC (National Science Foundation of China) grants including the Excellent Youth Grant. He was granted the Jingrun Chen Future Star Program from AMSS in 2014, the Science and Technology Award for Youth from The Operations Research Society of China (ORSC) in 2016, and the Morning Star Award from Beijing Branch of CAS in 2017. He severed as an associate editor of “Mathematical Programming Computation” since 2015, a council member of ORSC since 2016, an associate editor of “Mathematic Numerica Sinica” since 2017, the vice president of the Physical Sciences Division of Youth Innovation Promotion Association of CAS since 2018, and a deputy secretary-general of China Society for Industrial and Applied Mathematics (CSIAM) since 2019.

Prof. Hongyuan ZHA is a full professor at Institute for Data and Decision Analytics, The Chinese University of Hong Kong, Shenzhen. Before that, he was a professor at Georgia Institute of Technology. Hongyuan Zha received his B.S. degree in mathematics from Fudan University in Shanghai in 1984, and his Ph.D. in scientific computing from Stanford University in 1993. Zha was a faculty member of the Department of Computer Science and Engineering at Pennsylvania State University from 1992 to 2006, and he worked from 1999 to 2001 at Inktomi Corporation. Zha's current research interests include computational mathematics and machine learning applications.

Dr. Caihua Chen is an associate professor at Department of Management Science and Engineering, Nanjing University. He received his Ph.D in computational mathematics from Nanjing University in 2012. His research mainly focusses on algorithm analysis and design for continuous optimization, with applications in management science and machine learning.

Andre Milzarek is an assistant professor at the institute for data and decision analytics (iDDA) at the Chinese University of Hong Kong, Shenzhen. He received his master’s degree with honours and his doctoral degree in mathematics from the Technical University of Munich in Germany under the supervision of Michael Ulbrich in 2013 and 2016. He was a postdoctoral researcher at the Beijing International Center for Mathematical Research at the Peking University in Beijing from 2017 to March 2019. His main research directions and interests cover nonsmooth optimization, large-scale and stochastic optimization, second order methods and theory. From 2010 to 2012 he was supported by the Max-Weber program of the state of Bavaria and in 2017 he received the Boya Postdoctoral Fellowship at Peking University. He published papers in SIAM Journal on Optimization, SIAM Journal on Scientific Computing and gave talks at various international conferences, including EURO, SIAM, MPC, and AIMS conferences.