Seminars for middle and high school classes

A solid foundation is the key to any successful result, which is why the department is committed to working with students at the middle and high school levels to provide an opportunity to gain the skill set necessary for a STEM career. Our department offers a series of seminars that introduces students to a variety of subjects, such as data analytics, logistics, optimization, and problem solving all requisite concepts used in a variety of STEM areas and more specifically in industrial and systems engineering. These seminars will enable students to explore their interests and gain an idea of what college classes may be like.

decorative to represent congested hospitalsCongested hospitals: Data science & artificial intelligence for patient flow

Ratna Babu Chinnam, Professor & Chair

Hospitals are experiencing tremendous congestion leading to prolonged patient wait times, compromised patient care, and staff dissatisfaction. See how data science and AI can be used to improve the situation. This research is in collaboration with Henry Ford Health System.


decorative to represent drone deliveryOn-demand drone delivery logistics: Role of optimization

Yanchao Liu, Assistant Professor

On-demand delivery of food, drug and beer by drones is becoming a widespread reality. As air traffic ramps up, can we coordinate all the flights safely and efficiently? Operations research and mathematical optimization can help address some of the pressing challenges in the design of the next-generation aerial logistics systems.


decorative to represent problem-solvingBusiness problem-solving via operations research

Yanchao Liu, Assistant Professor

This talk will demonstrate to high school students a collection of classic examples of business problem-solving in which the principles of industrial engineering and operations research play a key role.

 


decorative to represent roboticsRobotics and data science

Saravanan Venkatachalam, Assistant Professor

We want the robots to be smarter. This talk is about how we can use techniques from data science to help mobile robots to be efficient. This research is in collaboration with 'Ground Vehicle Systems Center', a part of US Army Tank Automotive Command.


decorative to represent virtual realityExtended reality: The power of going beyond the physical world!

Sara Masoud, Assistant Professor

Extended Reality is everywhere from the gaming industry, to fashion, marketing, and education. It takes many forms such as Augmented Reality, Virtual Reality, and even Mixed Reality to build a realm where physical and digital worlds are combined. Join us if you want to know what the fuss is about and/or how you can take part in this transformation.


decorative to represent cyber-physical systemsCyber-physical systems: What the heck are these?

Murat Yildirim, Assistant Professor

How to enable real-time control for complex systems? How can we develop new generation of machines that sense, communicate and collectively work together towards a common goal? Cyber-physical systems lie at the intersection of the physical and cyber worlds to answer some of the most pressing questions in engineering.


decorative to represent smart gridsSmart grids for an efficient and sustainable future

Murat Yildirim, Assistant Professor

A simple switch turns the lights on at your house. It is not rocket science! Well, maybe it is… Behind the scenes, is the most complex man-made structure in the world: the power grid. Learn more about how this grid is made smarter with emerging research that allows us to sense and control it, and to integrate an increasing number of renewable energy sources. This research is in collaboration with Argonne National Laboratory.


decorative to represent aiAI, big data, data science & analytics

Ratna Babu Chinnam, Professor & Chair

Everybody is talking about AI. It is not just for natural language understanding (powering your favorite smart speaker) or producing fake videos! Learn about the discipline and why you might want to consider pursuing a career in Data Science and Analytics.