Arik Senderovich is an Assistant Professor at the Faculty of Information (University of Toronto). He holds a PhD in Data Science (2017), an MSc degree in Statistics (2012) and a BSc degree in Industrial Engineering and Management (2006): all three degrees from the Technion – Israel Institute of Technology. Before his appointment at the Faculty of Information, he received the Lyon Sachs scholarship (awarded to one PhD grad per year) and worked as a postdoctoral fellow in the Toronto Intelligent Decision Engineering Laboratory (TIDEL) at the University of Toronto.
Arik’s research focuses lies on the intersection between Operations Research, Data Science, and Artificial Intelligence. Currently, he focuses on developing methodologies for automatically learning models of complex and congested environments (such as hospitals and public transportation systems) from data logs. His research has recently received an acknowledgement at the Fifteenth International Conference on Business Process Management in Barcelona (2017) where he was awarded with both the inaugural best dissertation award and the best paper award for that year.
Arik has been proudly affiliated with the SEELab throughout his MSc and PhD studies. He was the primary point-of-contact with several of the lab’s partners throughout the years. The data that is gathered, managed, analyzed and maintained in the SEELab appears in all of his research papers and scientific contributions. The unique education and training that Arik received in the lab (in Statistics, Software Engineering, and Queueing Theory) has played a crucial role in his career development (in both teaching and research). To this day, he considers himself to be a member of the SEE family.
Nitzan Carmeli (Yuviler) received her BSc in Industrial Engineering and Management from the Technion in 2008. In 2010, while living a year in China, Nitzan was hosted by the IE Department at Tsinghua University in Beijing: the goal of her visit was to introduce to faculty members and graduate students, via lectures and workshops, the programs and data of the Technion SEE Center. Nitzan holds an MSc in Operation Research (OR), and recently completed her PhD in OR at the Technion (2020). Nitzan’s research focuses on service and healthcare operations, including performance analysis, prediction, and optimization via data-driven queueing models and stochastic processes.