Biomedical Data Science and Health Informatics Candidate Visits Campus

Candidates for the multiple biomedical and data science faculty position openings in the College of Computing will be visiting campus this semester, including Yi Sheng.

Bio

Yi Sheng is currently a Ph.D. student in the Department of Electrical and Computer Engineering at George Mason University, under the supervision of Prof. Weiwen Jiang. She received bachelor’s degree from Jilin University, China, and Master’s degree from Universitat Politècnica de Catalunya in Spain. Her research area is the intersection of
Software-Hardware Co-design, AI Fairness, and AI System for Efficient Devices. Her work has been published broadly in top conference and journal venues (e.g., DAC, ICCAD, ASP-DAC, MICCAI, etc.) She received the Best Student Research Award in ASP-DAC 2023.

Abstract

The Best of Both Worlds: Accurate and Fair Medical Al on Cost-Effective Platforms via Design Automation

In recent decades, Artificial Intelligence (AI) has revolutionized diverse sectors, ranging from healthcare diagnostics to geophysics. However, the substantial computational and storage demands of training and inference in deep neural networks (DNNs) present significant challenges. Equally pressing are the ethical considerations surrounding AI, emphasizing the need to mitigate biases and ensure these technologies benefit all segments of society. These interconnected challenges—spanning energy efficiency, sustainability, and fairness—hinder progress toward more widespread, responsible, and sustainable AI.

Building on recent advancements in Electronic Design Automation (EDA), Yi Sheng’s research focuses on system-level optimization of AI applications, with a particular emphasis on addressing their unique requirements in the medical imaging domain. Thispresentation will focus on research objectives that prioritize both efficiency and fairness in AI systems design.

First, the presentation will delve into AI system design for skin disease diagnosis, examining architectural considerations and deployment strategies to enhance accessibility and performance. Second, it will explore advancements in ultrasound image computing, specifically leveraging sparse wave data to generate clear velocity maps.

The presentation will conclude with a discussion of current challenges facing AI systems in domain-specific applications and an outline of future research plans aimed at overcoming these obstacles.

About the College of Computing

The Michigan Tech College of Computing, established in 2019, is the first academic unit in Michigan dedicated solely to computing, and one of only a handful such academic units in the United States. The college is composed of two academic departments. The Computer Science department offers four bachelor of science programs in computer science, cybersecurity, data science, and software engineering; four master of science programs in applied computer science, computer science, cybersecurity, and data science; and a doctoral program in computer science. The Applied Computing department offers four bachelor of science programs in cybersecurity, electrical engineering technology, information technology, and mechatronics; and two master of science programs in health informatics and mechatronics. The college also helps to administer an interdisciplinary doctoral program in computational science and engineering.

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