3:00 pm to 4:00 pm
SSE Seminar Series
Integer Linear Programming Based Statistical Techniques for Causal Inference
BY Md. Noor-E-Alam
Postdoctoral Research Fellow, Massachusetts Institute of Technology
This talk will address a topic in a cutting edge field, which is operations research techniques applied to problems in data analytics. This is an emerging interdisciplinary field of research, as organizations are fiercely struggling to realize valuable information from large-scale data that are being accumulated continuously in business, healthcare, Internet marketing, and governance. These observational data are increasingly used for understanding important cause and effect relationships. For example, we might want to know whether a particular drug causes a significant side effect or whether a public health policy has a profound impact on health status, or we might want to know whether a view of an Internet advertisement results in an increased chance of purchase. This research developed a methodological frameworks to solve such critical problems with ILP based statistical techniques. One of the key idea is to develop robust techniques to handle uncertainty in data driven decision making, particularly as applied to healthcare. This involves development of mathematical models and their solution techniques using operations research methods.
Noor is working as a Postdoctoral Research Fellow at Massachusetts Institute of Technology, affiliated with Computer Science & Artificial Intelligence Laboratory (CSAIL), Operations Research Center (ORC), and Sloan School of Management. He has completed his PhD in Engineering Management in the Department of Mechanical Engineering at the University of Alberta (UofA) in 2013. His previous works on "multi-criteria decision making" and "advanced integer linear programming techniques for large-scale grid based location problems" have appeared in several top-tier journals, including "European Journal of Operational Research" and "Knowledge-Based Systems". His current research interests lie in the intersection of operations research and data analytics, particularly as applied to healthcare, manufacturing systems and supply chain. Prior coming to the UofA, he served as a faculty member (first as a Lecturer and then as an Assistant Professor) in the Department of Industrial and Production Engineering at Bangladesh University of Engineering & Technology (BUET). He also previously received a B.Sc. and M.Sc. in Industrial and Production Engineering from BUET. He is the receipt of many prestigious awards including NSERC PDF and Izaak Walton Killam Memorial Scholarship.
2:00 pm to 3:00 pm
CCSE SEMINAR - Scott Rickard "High-Impact Innovation: Reflections on creating the CASL, running a hedge fund, composing the world’s ugliest music, solving crimes for the FBI & working for the world’s most innovative company"
Babbio 541 / Online via Blackboard Collaborate
Center for Complex Systems & Enterprises
Distinguished Lecture Series
High-Impact Innovation: Reflections on creating the CASL, running a hedge fund, composing the world’s ugliest music, solving crimes for the FBI & working for the world’s most innovative company
BY Scott Rickard
Vice President, Data Science - Salesforce
ABSTRACT: The interesting stuff happens at the edges, where different disciplines overlap. In my experience, often the most interesting solutions are found by people working in areas considered to be slightly (or wholly) outside their supposed area of expertise. In this talk, I will tell a number of stories from my past about multi-disciplinary research success and failure. Some of these stories may even be true.
Bio: Scott Rickard is VP for Data Science at Salesforce. Prior to joining Salesforce, he served as CEO of Probability Dynamics, a hedge fund run out of Dublin's IFSC. For many years he was an Associate Professor in the School of Electronic, Electrical and Communications Engineering at University College Dublin (UCD) where he was the Founding Director of UCD's Complex & Adaptive Systems Laboratory (the CASL). Prior to UCD, he worked for a decade with Siemens Corporate Research applying machine learning to industrial research problems, including developing a source separation tool used by the FBI. He is also the co-founder of ScienceWithMe!, an educational website dedicated to presenting scientific concepts in engaging ways for children. He has a B.S. in Mathematics, a B.S. in Computer Science, and a M.S. in Electrical Engineering from M.I.T., and MA and PhD degrees in Applied and Computational Mathematics from Princeton University. His research interests include multidisciplinary research, big data science, computational and mathematical finance, sparse signal processing, time-frequency/scale analysis, blind source localization and separation, simulation and extreme events in human society, multiuser frequency-hop communication systems, Costas arrays, ugly music, and science/mathematics outreach.
9:00 am to 5:00 pm
SSE joins as an Exhibiting University Sponsor at the 2015 IIE Annual Conference
The largest industrial and systems engineering event of the year, the IIE Annual Conference & Expo, combines research and application to provide industry solutions and case studies as well as discoveries from academia and industry scholars. This two-pronged program is why industry professionals, academics, researchers and students attend year after year!
9:00 am to 5:00 pm
SSE joins as a Silver Sponsor of the 25th Anniversary of the INCOSE International Symposium
INCOSE’s Annual International Symposium is the largest annual gathering of systems engineers for four days of presentations, case studies, workshops, tutorials and panel discussions. The program attracts an international mix of professionals at all levels, and includes practitioners in government and industry, as well as educators and researchers. The benefits for systems engineers attending the Symposium, include the opportunity to share ideas, network, build competency, pursue certification, contribute to the advancement of the profession through collaboration on tools, processes and methodologies, learn about new offerings in training and education, and forge new partnerships.
Undergraduate Reading Day