Honored to serve as the Associate Editor of the prestigious IEEE Transactions on Robotics (TRO) starting July 1st. IEEE Transactions on Robotics (T-RO) Texas Robotics UT Mech Engineering Texas Engineering

Great collaborative grant with Sandeep Chinchali and Joga Ivatury to use our unique vision-based tactile sensor and complementary generative AI methods for GI tract cancer diagnosis and particularly Colorectal cancer! Texas Robotics IC² Institute Dell Medical School UT Mech Engineering

We're thrilled to announce that Dell Medical School and the IC² Institute have selected four teams to receive funding for research that will advance the responsible development of AI to improve health outcomes and reduce health disparities. ic2.utexas.edu/news/selected-…

We're hiring! Become a part of UT's top ranked graduate and undergraduate mechanical engineering program. Apply now: me.utexas.edu/people/faculty…

In this paper, we are introducing our patient specific, autonomous steerable drilling robotic framework for spinal fixation using flexible implants. This paper was one of few selected SPOTLIGHT papers in MICCAI Society conference. Texas Robotics UT Mech Engineering Dell Medical School

Please check this amazing UT NEWS article about our research on the use of AI for detecting colorectal cancer: news.utexas.edu/2024/10/17/ai-… Special thanks to Avrel Seale for preparing this amazing story! UT Austin Research UT Mech Engineering Texas Robotics Texas Engineering Dell Medical School

It feels great when you get an unexpected outstanding research award from the department in the faculty meeting 😆 Special thanks to my students at UT_ARTS_Lab and UT Mech Engineering Texas Robotics Texas Engineering

Excited to have Dr. Pierre Dupont giving a talk at UT Mech Engineering seminar series on Friday. Texas Robotics Dell Medical School Texas BME Texas Engineering

Abstract submission deadline is coming for RSS 2025

In this paper, we address the effect of bias in cancer diagnosis due to limited vision-based tactile images through balanced synthetic data generation using generative models. SPIE Texas Engineering Texas Robotics MD Anderson Cancer Center IC² Institute UT Mech Engineering

Special thanks to my students UT_ARTS_Lab, and Texas Robotics, UT Mech Engineering, Texas Engineering, Dell Medical School and my great collaborators Sandeep Chinchali, Ali Khademhosseini, Jordan Amadio, M.D. 🧠, Naruhiko Ikoma MD MS, Joga Ivatury, and Ho Lab

Very excited to be part of this great collaborative program and develop a surgical robotic system and implants for spinopelvic oncology patients with a great team in UT Austin and MD Anderson Cancer Center . Texas Robotics Texas Engineering UT Mech Engineering Dell Medical School Jeff Siewerdsen

UT Austin & MD Anderson have launched a joint initiative to enable groundbreaking cancer research projects that address some of the most pressing unmet needs in oncology. Five research teams, each composed of researchers from both institutions, have been selected to receive

Feel free to join this unique opportunity. I am presenting the work we do at ARTS lab. Texas Robotics UT Mech Engineering

An efficient research with an amazing exchange student from Ho Lab ended up publishing a great paper in Science Advances. Inspired by a pufferfish, here we introduce a vibration-propulsion mechanism for a soft robot that can traverse cavities with varying geometries.

In UT convocation ceremony with my PhD student Sheela Sharma UT Austin Texas Robotics Texas Engineering UT Mech Engineering Johns Hopkins University

🤖🧡 UT Austin showed up at #ICRA2025! ME grad student Mobina Tavangarifard joined Susheela Sharma, Omid Rezayof, Daniyal Maroufi & Dr. Farshid Alambeigi from UT_ARTS_Lab. The ARTS Lab showed up and showed out with three accepted papers!! 🎥 Thanks Mobina for the footage!

In this paper, we show our progress on proposing a holistic framework for addressing the pedicle screw fixation failure in osteoporotic patients using a novel flexible pedicle screw and steerable drilling robotic system. IEEE Engineering Medicine and Biology Society #TBME Texas Robotics UT Mech Engineering

Here, we propose a screw-based affordance approach that models the affordance and robotic manipulator as a closed-chain mechanism, to solve closed-chain inverse kinematics. This can be used for medical or non-medical manipulators. IEEE Transactions on Robotics (T-RO) Texas Robotics