Adaptive Intelligent Materials & Systems Center
AIMS Alumni
Doctoral Degrees Awarded
Khaled Khafagy
Graduated: May 2022
Accomplishments:
Jacob J. Schichtel
Graduated: May 2022
Current Position:
- Microelectronics Packaging R&D Engineer at Intel
Accomplishments:
Christopher Sorini
Graduated: November 2021
Accomplishments:
Hyunseong Lee
Graduated: September 2021
- Senior Research Engineer at Hyundai Motor Company (South Korea)
- Developing machine learning operations (MLOps) framework for vehicle data pipelines and continuous AI model train/test/production
- Developing vehicle diagnosis and prognosis techniques using AI
Accomplishments:
– Developed data-driven and real-time in-flight safety monitoring techniques integrating multisource sensing, signal processing, and machine learning techniques for detecting unsafe operations (anomaly detection) and enhancing aviation safety (research supported by NASA)
– Focused on damage diagnosis in integrated circuit (IC) packages using non-destructive evaluation techniques including flash thermography, ultrasonic guided waves, and acoustic emission testing; developed data-driven damage diagnosis technique (research supported by Intel Corp.)
– Developed damage diagnosis techniques combining ultrasonic guided waves and machine learning algorithms to detect and classify fatigue damage in carbon fiber composite structures (research supported by ARL)
Linkedin: https://www.linkedin.com/in/hyunseong-lee-8262701bb
Nithya Subramanian
Graduated: February 2018
Current Position:
- Scientist at TNO in the Materials Solutions Department. TNO is the Dutch National Research Institute for Applied Science Research.
Accomplishments:
- After my PhD at ASU, I pursued at Postdoc at Lawrence Berkeley National Lab in California. Then I received a Marie Sklodowska-Curie Postdoctoral Fellowship from the European Commission, which brought me to TU Delft in the Netherlands.
- After successfully finishing up the fellowship, I took up my current position.
- Currently, working on understanding the degradation of polymers/plastics during recycling and how to mitigate this degradation.
Guoyi Li
Graduated: April 2019
- Data Scientist in Microsoft
Accomplishments:
- Developed damage localization, anomaly detection, and health monitoring algorithms for carbon fiber composite structures, integrated circuit packages, and commercial aircraft in AIMS.
- Created deep learning-based optical inspection systems with centralized analysis for high-volume smart manufacturing at Seagate Technology.
- Developed and implemented natural language processing, machine learning, and LLM/GenAI solutions to understand and address customer inquiries at Microsoft.
Travis Skinner
Graduated: May 2021
Current Position:
- Sr. Mechanical Engineer/Structural Analyst
- Work with CMCs and other high temperature materials
Accomplishments:
- Recieved the Dean’s Fellowship and then later was awarded the Army Research Lab (ARL) Journeyman Fellowship to support research
- Studied composites, with an emphasis on high temperature ceramic matrix composites (CMCs) and developed fracture mechanics-based damage models to capture the complex nonlinear behavior of woven CMCs.
- Currently, leveraging my composites and CMC experience at Raytheon, becoming a member of the Mechanical Analysis and Test department
Karthik Venkatesan
Graduated: July 2021
- Lead Composite Modeling Engineer
- Working at the intersection of computational mechanics, material science, digital twin, and generative AI.
Accomplishments:
- I currently work at the intersection of computational mechanics, material science, digital twin, and generative AI.
- I successfully led R&D efforts in material and process modeling for projects funded by U.S Army ERDC and ARL.
- I developed and deployed production ready simulation tools for metal binder jet manufacturing of aerospace components for weight reduction and cost savings.
- I also developed multiscale models to accelerate the development of multifunctional polymer composites for injection molding and polymer additive manufacturing.
- I co-authored in a few journals and presented at technical conferences.
Yingtao Liu
Graduated: March 2012
Current Position:
- Associate Professor
- William H. Barkow Presidential Professor
- School of Aerospace and Mechanical Engineering, The University of Oklahoma
Accomplishments:
- Contributed to 20 research projects and advised 27 graduate students at the University of Oklahoma
- Received the Vice President for Research and Partnerships Annual Award for Excellence in Research Grants, The University of Oklahoma, 2024 – 2022
- Received William H. Barkow Presidential Professorship, The University of Oklahoma, 2022
Hyunseong Lee
Graduated: September 2021
Accomplishments:
– Developed data-driven and real-time in-flight safety monitoring techniques integrating multisource sensing, signal processing, and machine learning techniques for detecting unsafe operations (anomaly detection) and enhancing aviation safety (research supported by NASA)
– Focused on damage diagnosis in integrated circuit (IC) packages using non-destructive evaluation techniques including flash thermography, ultrasonic guided waves, and acoustic emission testing; developed data-driven damage diagnosis technique (research supported by Intel Corp.)
– Developed damage diagnosis techniques combining ultrasonic guided waves and machine learning algorithms to detect and classify fatigue damage in carbon fiber composite structures (research supported by ARL)
Linkedin: https://www.linkedin.com/in/hyunseong-lee-8262701bb