Grainger College of Engineering, All Events

Engineering Open House (EOH) is an annual event organized entirely by engineering students at the University of Illinois at Urbana-Champaign. It is held each spring semester, and draws estimated crowds of 20,000 people including, students, teachers, parents and families, from all over Illinois (and beyond). RailTEC participates in EOH each year by working with major railr

Join the Illinois Quantum Information Science and Technology Center at Engineering Open House for a day filled with quantum information science-based activities and events.

ENGINEERING OPEN HOUSE at the UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN presents THE FUTURE, TODAY MARCH 31 - APRIL 1, 2023 9 AM - 4 PM EACH DAY

The Future, Today. Experience exciting exhibits and competitions during Engineering Open House 2023!

This year we celebrate the 75th anniversary of the transistor, a tiny device that paved the way for modern electronics.

Meet with Dr. Daniel Stack, Quantum Engineering Manager at Atom Computing, to learn more about Atom Computing and possible job/internship opportunities. Luncheon will follow.

In the final event of the Achieving Equity: Disparities in Substance Use three-part speaker series, program officials from the National Institute on Drug Abuse will discuss federal research funding opportunities with NIDA.

Speaker: Brian Smith, Professor, Department of Physics, University of Oregon

Prelim Examination: Katherine Tsai, April 4, 2023 @ 11:00 AM, Zoom, Exam Topic: Network estimation from multimodal high-dimensional time-series

“Structural evolution of lipid droplets in murine liver cancer progression,” by Lily Li (Leal) “Thermal conductivity of polyurethane thin films,” by Jingyi Zhou (Cahill/Braun)

Lectures and discussions on current work in research and development in nuclear engineering and related fields by staff, advanced students, and visiting speakers.

We’re back to bust more psychology and neuroscience myths! Dive into questions about multitasking and attention, as well as brain plasticity and the integrity of our memories.

Have questions about how to pursue your startup ideas? Just stop by and talk with our staff!

“Simultaneous imaging of solvation, nucleation and growth at electrode-electrolyte interfaces,” by Kaustubh Panse (Zhang) “Superposition model of solvation structures on different interfaces,” by Qian Ai (Zhang)

Lectures and discussions on current work in research and development in nuclear engineering and related fields by staff, advanced students, and visiting speakers.

Part of the Computer Science Speaker Series. Faculty Host: Dr. Nancy Amato.

Prelim Examination: Haoxiang Wang, April 7, 2023 @ 9:00 AM, Siebel Center 3102, Exam Topic: Reliable and Efficient Machine Learning under Distribution Shifts

Rhenium, a valuable rare element used in catalysts and superalloys, is difficult to recover in micromolar concentrations. In this study, we elucidate the impact of electrochemical deposition conditions on PVF coating as measured by capacitance, rhenium uptake, and longevity.

Uncertainty Representations in Model-Based Reinforcement Learning

Make an appointment to meet with a TEC Ambassador at SCD on Fridays!

So, you think you know what computer chips look like? In this lecture, Professor Kumar will talk about some chips his lab has developed that are built on plastic – they can roll, they can bend, and they may cost less than a penny.

Prelim Examination: Weichao Mao, April 10, 2023 @ 1:30 PM, CSL 301, Exam Topic: Decentralized and Sample-Efficient Multi-Agent Reinforcement Learning in Nonzero-Sum Markov Games

Prelim Examination: Ufuk Soylu, April 11, 2023 @ 10:00 AM, Beckman 4369 - Side Conference Room, Exam Topic: Remedies for Challenges in Deep Learning-Based Quantitative Ultrasound Imaging

Speaker: Roni Harnik, Senior Scientist, Quantum Theory Department Head, Fermilab; Science Thrust Leader, Superconducting Quantum Materials and Systems Center (SQMS)

“Order-to-chaos transitions during frontal polymerization,” by Anna Cramblitt (Sottos) “3D Manipulation of colloidal particles and droplets in 3D flows using automated flow control,” by Hung Nguyen (Schroeder)

Lectures and discussions on current work in research and development in nuclear engineering and related fields by staff, advanced students, and visiting speakers.

Prelim Examination: Xi Chen, April 12, 2023 @ 9:00 AM, Beckman Institute 3369, Exam Topic: Deep Learning for Super-resolution Ultrasound Microvessel Imaging