Events
Upcoming Events
There are no upcoming events matching your criteria.
Previous Events
ISyE Seminar Series: Anil Aswani
Wednesday, Feb. 12, 2020, 3 p.m.
Lind Hall
Room 305
"Optimization Hierarchy for Fair Statistical Decision Problems"Presentation by Professor Anil Aswani Wednesday, February 12
|
|
About: Data-driven decision-making has drawn scrutiny from policy makers due to fears of potential discrimination, and a growing literature has begun to develop fair statistical techniques. However, these techniques are often specialized to one model context and based on ad-hoc arguments, which makes it difficult to perform theoretical analysis. This paper develops an optimization hierarchy for fair statistical decision problems. Because our hierarchy is based on the framework of statistical decision problems, this means it provides a systematic approach for developing and studying fair versions of hypothesis testing, decision-making, estimation, regression, and classification. We use the insight that qualitative definitions of fairness are equivalent to statistical independence between the output of a statistical technique and a random variable that measures attributes for which fairness is desired. We use this insight to construct an optimization hierarchy that lends itself to numerical computation, and we use tools from variational analysis and random set theory to prove that higher levels of this hierarchy lead to consistency in the sense that it asymptotically imposes this independence as a constraint in corresponding statistical decision problems. We demonstrate numerical effectiveness of our hierarchy using several data sets, and we conclude by using our hierarchy to fairly perform automated dosing of morphine. Paper link:
|
|
Bio: Anil Aswani is an associate professor in the department of industrial engineering and operations research (IEOR) at the University of California, at Berkeley. He received a BS in Electrical Engineering from the University of Michigan, in Ann Arbor, and a PhD in Electrical Engineering and Computer Sciences with Designated Emphasis in Computational and Genomic Biology from the University of California, at Berkeley. He has received an NSF CAREER award through the Operations Engineering program for his work on personalized healthcare, a Hellman Fellowship for his research on food insecurity, the Leon O. Chua award from Berkeley for outstanding achievement in an area of nonlinear science, and a William Pierskalla Runner-Up Award from the INFORMS Health Applications Society. His research interests include data-driven decision making, with particular emphasis on addressing inefficiencies and inequities in health systems and physical infrastructure. |
Major/Minor Expo
Wednesday, Feb. 12, 2020, Noon through Wednesday, Feb. 12, 2020, 3 p.m.
Coffman Memorial Union
Great Hall
Connect with advisors and faculty from different academic departments to learn more about what their programs can offer.
Explore some of the University's 140+ majors and 130+ minors at the Expo plus academic/career resources.
Declare your major or minor after attending the expo and make a plan to get started on your goals.
Games, food, and prizes will be provided. Students who attend will receive a free tote bag (while supplies last), and the first 50 students at the event will also receive a free t-shirt!
Connect, explore, and declare with us on February 12. For more information, visit z.umn.edu/MajorMinorExpo.
ISyE Graduate Student Social Event
Friday, Feb. 7, 2020, 3 p.m. through Friday, Feb. 7, 2020, 5 p.m.
Shepherd Labs
Room 452/456
The Institute for Operations Research and the Management Sciences (INFORMS) UMN-TC Student Chapter is organizing a kick-off event to introduce current members to ISyE grad students who are at their early stages in the program. Details about the INFORMS UMN-TC Student Chapter be covered on the event day and will be held jointly with the Spring ISyE Graduate Student Social event. There will be board games, soft drinks, pizza and more!
RSVP by February 5th using the following link: https://forms.gle/w96D1pcq9gtHpkpn8
About INFORMS UMN-TC Student Chapter
The INFORMS Student Chapter at the University of Minnesota is a student group affiliated with the INFORMS organization and Department of Industrial and Systems Engineering. Students in the UMN-TC chapter of INFORMS are interested in using mathematical modeling, statistical analysis, optimization, and other analytical methods to optimize decisions for complex industrial systems. They are committed to the academic, social, and professional motivation of its members. As enrichment opportunities, the group regularly organizes coding workshops and invites well-known professors and professionals from operations research and management science fields to give talks on their research. Additionally, this group also holds practice presentations for conferences, social events, and company site visits.
Visit the INFORMS UMN-TC Student Chapter website.
CSE Co-Op Job Fair
Wednesday, Feb. 5, 2020, 10 a.m. through Wednesday, Feb. 5, 2020, 2 p.m.
Meet the Employers: The Co-op Job Fair offers students the opportunity to put a face to their resume and emphasize their strengths and explain their weaknesses. Some students say their formal interviews are easier because they've already met the employer representative at the Job Fair and have established a rapport with the potential interviewer.
Employers attending the Co-op Job Fair include:
- Abbott Laboratories
- AKF Group
- Altec
- Bosch Security Systems
- Chart Inc
- Colder Products Company
- EcoWater Systems
- Endeavor Airlines
- ESi
- Heraeus Medical Components
- Horton Inc
- MTS
- Nor-Lake
Application Deadline: Applications to participate in the Co-op Program are due on Thursday, February 6 at 9 a.m. Apply online at https://cse.umn.edu/coop.
CSE Co-Op Info Sessions
Friday, Jan. 31, 2020, 9 a.m.
Mechanical Engineering
Room 1130
Are you looking for an opportunity to gain industry experience while in school? Would you like to get educational credit for working and earn a salary? Do you like pizza or bagels? If so, then the Engineering Co-op program is intended for you!
Attend an Information Session: Why do employers prefer co-ops instead of internships? How will this affect my graduation timeline? Learn this and more about the Co-op Program at one of our Information Sessions on Friday, January 31 at 9 a.m. in ME 1130 (bagels will be served).
Application Deadline: Applications to participate in the Co-op Program are due on Thursday, February 6, at 9 a.m. Apply online at https://cse.umn.edu/coop.
IISE General Meeting Hosted by Boston Scientific
Thursday, Jan. 30, 2020, 6 p.m. through Thursday, Jan. 30, 2020, 7 p.m.
Tate Hall
Room B65
Come to our first general meeting of the semester hosted by Boston Scientific. As always, food will be provided. Boston Scientific will be talking about their company and the different career paths that Industrial Engineers can have there.
About the Institute of Industrial and Systems Engineers (IISE): UMN-TC Chapter
The Institute of Industrial and Systems Engineers is focused on students interested in Industrial and Systems Engineering. IISE is a national organization that supports the education and creativity of students pursuing this field. The goal of the group is to create a fun learning community consisting of professional development, problem solving, creative projects, site visits, networking and outreach. Industry sponsors, such as ExxonMobil, Accenture, and West Monroe Partners, co-host events with IISE and help to fund general meetings.
Visit the IISE website and follow them on Facebook, Instagram, and Gopherlink.
CSE Co-Op Info Session
Thursday, Jan. 30, 2020, 5 p.m.
Tate Hall
Room B20
Are you looking for an opportunity to gain industry experience while in school? Would you like to get educational credit for working and earn a salary? Do you like pizza or bagels? If so, then the Engineering Co-op program is intended for you!
Attend an Information Session: Why do employers prefer co-ops instead of internships? How will this affect my graduation timeline? Learn this and more about the Co-op Program at one of our Information Sessions on Thursday, January 30 at 5 p.m. in Tate B20 (pizza will be served). Info session details can be found here.
Application Deadline: Applications to participate in the Co-op Program are due on Thursday, February 6, at 9 a.m. Apply online at www.co-op.umn.edu.
NOBE Spring Kickoff Event
Wednesday, Jan. 29, 2020, 6 p.m. through Wednesday, Jan. 29, 2020, 7 p.m.
Tate Hall
Room 120
Connect with the executive board and other NOBE members, find out more about NOBE and how to be involved. Learn how you can join a committee and hear more about upcoming events!
Food will be provided! (Raising Cane's)
Apply to a committee and get involved in leadership with the following link: NOBE Committees
About NOBE
The National Organization for Business and Engineering is a student-run national organization that dedicates itself to the educational and professional development of students interested in the collaboration between business and engineering. The goal of NOBE is to bring together students with interests in both business and engineering to corporate and academic institutions that promote the integration of these fields into one practice. NOBE strives to establish mutually beneficial long-term relationships with these institutions in the hopes of providing members with a deep understanding of how these two branches are essential in today’s professional world. Together, with partnering institutions, NOBE will be able to influence tomorrow’s workforce—molding them into the leaders of tomorrow.
Visit the NOBE website and follow them on Facebook and Gopherlink.
ISyE Special Seminar: Yanhua Li
Tuesday, Jan. 28, 2020, 3:30 p.m.
Lind Hall
Room 409
"Decision Analysis from Human-Generated Spatial-Temporal Data"Presentation by Professor Yanhua Li Tuesday, January 28
|
|
About: With the fast development of mobile sensing and information technology, large volumes of human-generated spatio-temporal data (HSTD) are increasingly collected, including taxi GPS trajectories, passenger trip data from automated fare collection (AFC) devices on buses and trains, and working traces from the emerging gig-economy services, such as food delivery (DoorDash, Postmates), and everyday tasks (TaskRabbit). Such HSTD capture unique decision-making strategies of the “data generators (e.g., gig-workers, taxi drivers). Harnessing HSTD to characterize unique decision-making strategies of human agents has transformative potential in many applications, including promoting individual well-being of gig-workers, and improving service quality and revenue of transportation service providers. In this talk, I will introduce a spatial-temporal imitation learning framework for inversely learning and “imitating the decision-making strategies of human agents from their HSTD, and present our recent works on analyzing taxi drivers passenger-seeking strategies and public transit travelers route choice strategies. Moreover, I will discuss key design challenges in spatial-temporal imitation learning, and outline various future applications in targeted training, incentive, and planning mechanisms that enhance the well-being of urban dwellers and society in terms of income level, travel and living convenience.
|
|
Bio: Prof. Yanhua Li received two Ph.D. degrees in computer science from University of Minnesota—Twin Cities in 2013, and in electrical engineering from Beijing University of Posts and Telecommunications, Beijing in China in 2009, respectively. He joined the Department of Computer Science at Worcester Polytechnic Institute (WPI) as an assistant professor in fall 2015. His research interests are urban intelligence and smart cities in many contexts, including spatial-temporal data analytics, urban planning and optimization. Recently, Dr. Li focuses on developing data-driven approaches to inversely learn and influence the decision-making strategies of urban travelers, who take public transits, taxis, sharing bikes, etc. Dr. Li is a recipient of NSF CISE Research Initiation Initiative (CRII) Award. (http://www.wpi.edu/~yli15/) |
Autonomous Snowplow Competition (UMN Robotics)
Saturday, Jan. 18, 2020, 8 a.m.
Dunwoody College of Technology
818 Dunwoody Boulevard
Minneapolis, MN 55403
Robot Runs from 8:00 a.m. to 4:00 p.m.
Award ceremony at 5:00 p.m.
Come see UMN Robotics' Autonomous Snowplow Team compete in the 10th annual Autonomous Snowplow Competition. This competition is for robots to autonomously (no human control) clear snow from courses while avoiding obstacles.