Visiting Professors & Scholars
Visiting Scholar, UC Berkeley
Christoph’s research interests cover energy and environmental economics, industrial organization, and optimization. His research mostly centers around intermittent renewables and their impacts on power markets. During his two-year stay at UC Berkeley, he will develop power market models in systems with intermittent renewables as well as storage. The goal of this research is to benchmark the outcomes of those models against real market outcomes to evaluate the trade-oﬀ between accuracy and cost.
Dr. Kazaz’s research interests include the integration of supply chain operations (purchasing, production, distribution), marketing (pricing, market segmentation), and finance (managing economic/currency risks, hedging), with a special interest in managing uncertainty and risk (e.g. exchange-rate fluctuations, supply disruptions, lead-time uncertainty, quality uncertainty, demand fluctuations) in global supply chains. His publications can be found in premier journals such as Management Science, Manufacturing & Service Operations Management, Operations Research, and Production and Operations Management. His papers have been the recipient of the best paper awards from the Production and Operations Management Society (2016) and the Decision Sciences Institute (2014). He serves as an Associate Editor for Manufacturing & Service Operations Management, as a Senior Editor for Production and Operations Management, as an Area Editor for IIE Transactions.
Dr. Kazaz is the Steven R. Becker Professor of Supply Chain Management, the Laura J. and L. Douglas Meredith Professor for Teaching Excellence at Syracuse University. He also serves as the Executive Director of the H.H. Franklin Center for Supply Chain Management, and as the Whitman Research Fellow at the Martin J. Whitman School of Management.
Professor Olvera-Cravioto obtained her BS in Applied Mathematics from ITAM, in Mexico City, and her PhD in Management Science & Engineering from Stanford University; she also holds a MS in Statistics from Stanford University. She was a faculty in the Department of Industrial Engineering and Operations Research at Columbia University from 2006 until 2016. Her research interests are in Applied Probability, in particular, the asymptotic analysis of heavy-tailed phenomena. Her current work is focused on the analysis of information ranking algorithms and their large-scale behavior, which is closely related to the study of stochastic branching recursions. She is also interested in the analysis of power-law graphs (e.g. social networks) and queueing networks with parallel servers such as those encountered in cloud computing platforms. She is an Associate Editor for Stochastic Models and QUESTA.
Yu's research interests span the broad areas of smart power grids, optimization theory, big data analytics, and wireless communications. His research emphasis is placed on applying modern optimization, control, machine learning and signal processing techniques to the fundamental problems in those areas. During his time at U.C. Berkeley, he will be focusing on distributed stochastic energy management with high-penetration renewables, as well as energy data analytics. Additional thrusts include optimal and robust resource allocation in cyber-physical systems.