Year: 2025

Highlights from ASME IDETC/CIE 2025

Tony Sha News

The conclusion of this year’s ASME IDETC/CIE conference marks the beginning of the academic year of 2025-2026. This year, SiDi Lab has five members attending the conference, including John Clay, Siyu Chen, Bam Thonkmak, Yuewan Sun, and Yinshuang Xiao. They were pretty productive and energetic in organizing workshops, participating in hackathon competitions, and presenting papers and posters. Meanwhile, it was such a proud moment to see the achievements and awards bestowed on SiDi lab members. Upon returning to the UT campus, let me reflect and summarize this conference trip.

First, Year 2025 marks the sixth year of the ASME Hackathon – an important milestone as the event reached a historical number of participants. 58 participants from more than 33 institutions and 6 different counties gathered both in-person and online for a competition for three exciting problems sponsored by NIST, Autodesk, and nTop. I was delighted to see the growth and success of the student event that Dr. Yan Lu and I initiated six years ago, just before the COVID pandemic. Over the years, the hackathon event has received tremendous support from colleagues and friends in both academia and industry in helping achieve the goal we set at the beginning, i.e, we anticipate that the hackathon will generate society-wide impacts and become a signature event of ASME to promote the convergence between data science and mechanical engineering research and education.

Second, it was exciting to organize the second Generative Design Thinking (GDT) workshop, reinforcing our research vision towards a new design thinking paradigm in the era of generative AI for the future of human-AI design collaboration and design education. We thank the support from all the panelists, including Dr. Molly Goldstein from UIUC, Dr. Charles Xie from IFI, Dr. Anastasia Schauer from UT Austin, and Daniel Banach from Autodesk. The SiDi research scientist assistant, John Clay, did a fantastic job putting all the efforts together and delivered another year of success after our first GDT workshop in 2024 in Boston, in partnership with Onshape.

Third, as the Special Program Chair of the Design Automation Conference (DAC) Executive Committee, I had the privilege of organizing the DAC signature event this year. The event featured a panel consisting of five speakers and domain experts in generative design, including Dr. Vinayak Krishnamurthy from Texas A&M, Dr. Leah Chong from UT Austin, Dr. Faez Ahmed from MIT, Dr. Ye Wang from EverCurrent, and Bradley Rothenberg from nTop. The topic of this year’s event is “Generative, Generative Design, and Generative Design Thinking.” The panel was a blast and my favorite of this year’s conference, and many of the conference attendees shared similar experiences with me. I wish I had more time to allow for more questions and interaction between the panelists and the audience. But it generates great momentum for further discussion on this topic.

Finally, kudos to all my students and co-authors. We presented a total of eight papers and one presentation-only submission:

  • Y. Sun, Z. Sha, “TransformCAD: Multimodal Transformer for Computer-Aided Design Generation,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • Y. Xiao, H. D. Kaushik, J. Wang, J. Zhang, Z. Sha, “Electric Vehicle Charging Network Optimization Considering Regional Resource Dependencies,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • X. Li, Z. Sha, “Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • S. Chen, S. Bierschenk, D. Kovar, Z. Sha, “Constrained Bayesian Optimization for Robust Design of Complex Systems under Varying Operating Conditions,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • R. F. P. Stone, M. Ebert, E. Akleman, V. Krishnamurthy, Z. Sha, “MedialPart: Medial Axis-based Geometric Partitioning for Cooperative 3D Printing,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • C. D. Salazar, R. New, C. McCullough, T. Lassiter, K. R. Fleischmann, S. R. Greenberg, Z. Sha, R. G. Longoria, “Design, Development, and Testing of Smart Hand Tool Systems,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • N. Javadpour, K. Mutlu, Z. Sha, A. E. Bayrak, “Impact of Information Sharing Between Members in Design Teams Under Competition in Unknown Design Space Exploration,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • H. Sanam, A. Swaminathan, Z. Sha, “Computer Vision-based In-Situ Monitoring of Cooperative 3D Printing in A Closed-Loop System,” Proceedings of the ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025.
  • P. Thongmak, H. Park, Y. Fu, Z. Sha, “A comparative study on vector-based and knowledge graph-based retrieval-augmented generation systems for product recommendation,” ASME 2025 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Anaheim, CA. August 17–20, 2025. Short paper and presentation-only.

Among these papers and presentations, I would like to highlight the work led by my former PhD student, Xingang Li, on the topic of “Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images.” This paper won the ASME Artificial Intelligence/Machine Learning 2025 Best Paper Award. Also, Bam Thongmak won a Travel Award for the ASME CIE Graduate Poster Competition, where she presented a poster introducing her dissertation research on “Multi-Dimensional Network Modeling for Complex Socio-technical Systems.” Congratulations to ALL!

Dr. Sha Appointed to Hold Prestigious Endowed Faculty Fellowship

Tony Sha News

As the new academic year kicks off, I am deeply honored to be appointed as the holder of the prestigious June and Gene Gillis Endowed Faculty Fellowship in Manufacturing Systems Engineering.

I am grateful for the support of the Walker Department of Mechanical Engineering and the Cockrell School of Engineering, especially for the nomination by Dr. Don Siegel. Most importantly, this recognition would not have been possible without my students—past and present. I owe immense thanks to all the members of SiDi Lab with whom I’ve had the privilege to work.

In learning more about the Gillis family, I was inspired by the remarkable career of M. E. “Gene” Gillis, who graduated from The University of Texas at Austin in 1951 with a degree in chemical engineering and went on to lead Exxon Chemical Americas as President and Senior Vice President of Exxon Chemical Company. His legacy has touched generations of UT faculty through this endowment.

In particular, I feel encouraged knowing the distinguished professors who have held this fellowship before me—such as Dr. John Hasenbein in the ORIE program and Dr. Kristin Wood, a leading figure in engineering design research. It is truly humbling to follow in their footsteps.

Thank you to UT and to the generous Gillis family for making this fellowship possible. It’s time for me to honor the legacy it represents and to carry it forward in my next career chapter.

Dr. Sha Wins 2024 ASME JMD Associate Editor of the Year

Tony Sha News

Dr. Sha has been awarded the 2024 Associate Editor of the Year Award by the ASME Journal of Mechanical Design.

Since 1880, the American Society of Mechanical Engineers’ Journal Program has upheld a tradition of rigorous, peer-reviewed scholarship to publish the highest quality research—research that empowers engineering professionals around the world to drive innovation and progress. The associate editor’s role is critical to the peer-review process of journal papers. The purpose of this award is to recognize outstanding Associate Editors who have gone above and beyond to ensure quality research contributions are published.

The criteria for selection are: (1) assignment of reviewers whose background is appropriate to evaluate the technical content of a paper; (2) care and dedication to ensure high-quality, timely reviews; (3) to uphold the highest standards during the evaluation of a manuscript; (4) the number of completed assignments annually.

LLM4CAD: Leveraging LLMs to Speedup CAD Generation

Tony Sha News ,

3D computer-aided design (CAD) models are essential to many engineering simulation and analyses, such as finite element analysis (FEA). We (work led by Dr. Xingang Li and the PhD student, Yuewan Sun) recently explored the potential and capabilities of leveraging LLMs to directly generate 3D CAD models from various design modalities, including text, sketches, and images. We published a series of two articles on these LLM4CAD methodologies in the ASME Transactions: https://doi.org/10.1115/1.4067085 and https://doi.org/10.1115/1.4067713.

In the first paper, we utilized LLM as both a generator and debugger to iteratively improve CAD program generation for 3D models. We examined the relationship between part complexity and LLM4CAD performance (e.g., intersection over union (IoU) of the generated 3D shapes). In the second paper, we fine-tuned four small models using different data sampling strategies based on the length of a CAD program. Our study compared these models with one another and also with GPT-4 without fine-tuning. The insights gained can guide the selection of sampling strategies for building training datasets in the fine-tuning practices of LLMs for text-to-CAD generation, while considering the trade-off between part complexity, model performance, and cost. Additionally, we tested the generalizability of our methodology on more complex, real-world mechanical components drawn from the ABC dataset. We open-sourced our LLM4CAD dataset at the Texas Data Repository as part of a recent initiative led by the special issue “Design by Data: Cultivating Datasets for Engineering Design” from the Journal of Mechanical Design.

Dr. Sha Promoted to Associate Professor with Tenure

Tony Sha News

Dear SiDi Lab Members and Friends,

I am thrilled to share some exciting news with you all: my promotion to Associate Professor with Tenure has been officially approved. This marks a significant milestone in my academic journey, and I want to take a moment to express my deepest gratitude to each of you. Over the years, you have built SiDi Lab step by step, making this achievement possible. This is not just a personal milestone but a collective success—one that reflects the dedication, hard work, and innovation of our entire team.

With tenure now behind me, it is time to chart the next phase of my career and strategically expand our lab’s research to maximize our impact in advanced design and manufacturing. Tenure grants us the freedom to be more ambitious, creative, and resilient. I hope we continue to think beyond conventional boundaries, embrace challenges, explore with curiosity, and persist in the pursuit of groundbreaking ideas. I am confident that our work will lead to remarkable discoveries and innovations.

Once again, thank you all and congratulations to us!

FIRE Program’s Winning Project: Swarm Manufacturing with Robotics

Tony Sha News ,

In Fall 2024, SiDi Lab hosted a group of three freshmen students, Ian Clark, Parth Mehta, and Retvin Pant, through the Freshman Introduction to Research in Engineering (FIRE) program at the Walker Department of Mechanical Engineering. Their project, “Swarm Manufacturing with Robotics,” mentored by PhD student Ronnie Stone, won first place in the final design competition. In this project, the team designed a novel fused deposition modeling (FDM) extruder system for robotic arm-enabled 3D printing, building an important link in realizing swarm-inspired hybrid manufacturing. Congratulations to the team for their impressive work, as they just joined UT ME for the first semester! Check out the demo below and stay tuned for our next design iteration.