Eni Halilaj profile photo

Eni Halilaj

Associate Professor, Mechanical Engineering

  • Pittsburgh PA UNITED STATES

Eni Halilaj seeks to understand and optimize human movement mechanics.

Contact

Biography

Eni Halilaj directs the CMU Musculoskeletal Biomechanics Lab, an interdisciplinary group of engineers seeking to understand and optimize human movement mechanics. Prior to joining Carnegie Mellon in 2018, she was a Distinguished Postdoctoral Fellow at Stanford University and completed her graduate and undergraduate studies at Brown University. She is the recipient of the NSF CAREER Award, American Society of Biomechanics Early Career Achievement Award, NIH K12 Career Development Scholarship, George Tallman Ladd Research Award, and College of Engineering Dean’s Early Career Faculty Fellowship.

Areas of Expertise

Musculoskeletal Biomechanics
Wearable Sensing
Artificial Intelligence
Computer Vision
Medical Imaging

Media Appearances

Tesla’s Optimus and the big questions in the quest to make a humanoid robo

CNBC  online

2022-09-30

“Our body is a complex engineering system that we still do not fully understand,” Halilaj said. “We have a long way to go to reverse engineer it, making motion planning and control challenging for humanoid robotics. For example, we still do not understand how our central nervous system selects specific muscle coordination patterns to carry out daily tasks — this is one of the grand challenges in biomechanics and neural control.”

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Precision rehabilitation may prevent osteoarthritis

MedicalXpress  online

2022-01-28

Using flexible wearable sensors that look like Band-Aids, we monitor movement outside of the lab, where patients are not on their best behavior and may be adopting pain avoidance walking strategies that damage their joints in the long run," said Halilaj.
[....]
"In a not-too-distant future, we envision clinicians using data from these minimal wearables sensors and smartphone videos to isolate the 60 percent of patients who are likely to suffer from debilitating osteoarthritis, personalize their therapy accordingly, and even prescribe a wearable haptic device that helps them correct their gait before it is too late," concluded Halilaj.

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Media

Education

Stanford University

Postdoctoral

Bioengineering

Brown University

Ph.D.

Biomedical Engineering

Brown University

B.A.

Engineering

Articles

Musculoskeletal Motion Imitation for Learning Personalized Exoskeleton Control Policy in Impaired Gait

arXiv

2026

Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimization procedures, which limit accessibility to clinical populations. To address this challenge, we introduce a device-agnostic framework that combines physiologically plausible musculoskeletal simulation with reinforcement learning to enable scalable personalized exoskeleton assistance for both able-bodied and clinical populations.

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Freddie Fu Panther Symposium Expert Group 2024: Rehabilitation and return to sport after anterior cruciate ligament reconstruction Part 1: Early and intermediate phases of rehabilitation

Journal of Arthroscopic Surgery and Sports Medicine

2025

Strategies for optimal rehabilitation after anterior cruciate ligament (ACL) reconstruction (ACLR) continue to evolve, as the incidence of contralateral ACL injuries and ACL failures varies widely in the literature, highlighting the need for optimising rehabilitation protocols. Early and intermediate rehabilitation build the crucial foundation on which later stages of rehabilitation can successfully be based, ideally leading to satisfactory outcomes and return to preinjury sports performance.

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