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Home > Connect > Give > Industrial Engineering & Operations Research
Composite shot of a UR-5 robot arm manipulating a cable to avoid a stationary object, and to knock secondary items off the stationary object, in research led by undergraduate student Harry Zhang, in Industrial Engineering and Operations Research professor Ken Goldberg’s AUTOLab, at Berkeley Way West on Friday, Oct. 30, 2020. (Photo by Adam Lau/Berkeley Engineering)

Industrial Engineering & Operations Research

In Berkeley’s Department of Industrial Engineering & Operations Research, we create solutions to complex global challenges by harnessing the power of AI and data science to engineer sustainable, efficient and resilient systems and processes for today’s rapidly changing, technology-driven world. Berkeley IEOR faculty members pioneer transformative algorithms that redefine entire industries, and our alums carry forward this tradition, innovating new approaches to improve real-world systems, from supply chains to transportation, healthcare and financial markets. Our alums lead innovation in nearly every industry where they serve as executives, researchers and analysts, and they make a significant impact as academics in universities worldwide.

Did you know?

  • Algorithms drive critical decisions about healthcare, criminal law, education and even our finances, but they are not immune to harmful bias. Now, professor Anil Aswani and Matt Olfat (Ph.D.’20 IEOR) have pioneered the first theoretically proven approach to fairness applicable across various groups and traits, advancing data-driven decision-making towards unbiased accuracy.
  • Robots might help revolutionize global agriculture with precision irrigation. An IEOR project called RAPID (Robot-Assisted Precision Irrigation Delivery) utilizes robots to reduce water usage while improving crop yields.
  • Cyberattacks have become the most significant threat to the global financial system, with the COVID-19 pandemic leading to a surge in cybercriminal activity. Now, professor Thibaut Mastrolia is using mathematical modeling to develop protective measures against cybercriminal activity’s financial ramifications.
485
0
undergraduates and graduates enrolled
$300k
$0k
research expenditure
per FTE faculty
2
0
National Academy of Engineering members
52%
0%
of students are women

Berkeley IEOR has rounded out my engineering education through engaging courses, a supportive community, and professional growth opportunities. As a transfer, my biggest fear was falling behind and being isolated; I never would have imagined that the department could feel so much like a second home. ❞

Jelo Francisco
B.S.’24, IEOR

Saving sight using machine learningArrow pointing left

Diabetic retinopathy (DR) is the most common cause of vision loss among people with diabetes, and a leading cause of blindness. But thanks to cutting-edge machine-learning techniques and algorithms developed by IEOR researchers at the Risk Analytics and Data Analysis Research (RADAR) Lab, millions of diabetic patients now have a cheaper and more accurate way to screen for eye disease. More than 100 systems have been installed in China, helping millions of patients — many of whom had no access to regular eye checkups. The system was able to detect DR with better than 97% accuracy

Arrow pointing leftThe key to power

Recent power outages in California demonstrate how keeping the lights on is not that easy. The U.S. electrical grid has more than 5,800 power stations delivering electricity to 145 million customers over 450,000 miles of high-voltage transmission lines. IEOR researchers have successfully tested their algorithm on a 65-core server assuming 25 million parameters. They are now working on speeding up the calculation time with the help of machine learning. This may reduce the impact of power outages in the future.

ieor.berkeley.edu

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