New affiliate faculty Mark Fuge is expert in machine learning and artificial intelligence

New affiliate faculty Mark Fuge is expert in machine learning and artificial intelligence

New ISR-affiliated Assistant Professor Mark Fuge (Mechanical Engineering) uses machine learning, artificial intelligence, and crowdsourcing to understand how large groups of people design things and how complex engineered systems work, with the end goal of using the data they produce to make them better.

In his IDEAL Lab, Fuge's research group studies fundamental scientific questions like:

• What are efficient and useful ways to computationally and mathematically represent designs?
• How do we combine physics-driven and data-driven models to design better products?
• What makes design collaboration between large groups of people work well or poorly?
• How can we use tools from applied mathematics (such as graph theory, category theory, and statistics) and computer science (such as complexity theory, submodular optimization, and artificial intelligence) to better understand how humans design?

Some past practical applications of Fuge’s research include:

• A fully automated system for inferring what makes designs creative given human feedback;
• The world’s first polynomial time algorithm for diverse bi-partite b-matching;
• Algorithms for exploring and optimizing high-dimensional design spaces (e.g., aircraft);
• Software for helping novices 3D print working mechanical devices; and
• Network analyses of online collaborative design networks such as OpenIDEO.

Fuge recently mentored “The Oyster Boys,” an undergraduate team that won the Mechanical Engineering Department’s Design Day competition in May. These students developed a robotic underwater microphone that can detect oyster poaching dredging in the Chesapeake Bay.

Related Articles:
Advancing Healthcare through Robotics and Machine Learning
Machine Learning's Translational Medicine
Do Good Robotics Symposium to explore technologies that benefit society and the planet
Do Good Robotics Start-Up Competition coming this fall
Helping robots remember
Realistic simulator improves safety of self-driving vehicles before road testing
$1M DARPA Award to Support AI Research
Student autonomous drone racing team takes 2nd place at IROS
Manocha keynote speaker at 2019 IEEE RO-MAN Conference
Innovative Groups Pitch, Win Share of $5,000 at Inaugural Do Good Robotics Start-up Competition

July 9, 2018

Prev Next