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Xiuhan Hu is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at the University of Illinois Urbana-Champaign (UIUC). He received his Ph.D. degree from Shanghai Jiao Tong University. His research interests lie at the intersection of artificial intelligence and electronic design automation (EDA), focusing on developing novel machine learning algorithms to address challenges in chip design, optimization, and security. Key areas of his work include graph machine learning, AI for hardware security, robust and trustworthy AI systems, and automated design methodologies for next-generation integrated circuits. He leads the Intelligent Design Automation Laboratory (IDEAL) at UIUC.
Xiuhan Hu's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received the prestigious National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award for his research on 'Trustworthy AI for Secure and Intelligent Chip Design'.
Co-authored a paper that received the Best Paper Award at the Asia and South Pacific Design Automation Conference (ASP-DAC), a premier conference in electronic design automation.
His research papers have received several best paper nominations at top-tier conferences in EDA and AI, such as ICCAD and DATE, highlighting the impact and quality of his work.
Leads the Intelligent Design Automation Laboratory (IDEAL) at UIUC, mentoring students and spearheading research in AI-driven EDA and hardware security.
Columbia University - Year 2014
Peking University - Year 2011
Peking University - Year 2010
Yali High School - Year 2007
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Viscept is a technology company focused on democratizing custom silicon chip design. They aim to make the complex process of creating application-specific integrated circuits (ASICs) more accessible, faster, and cost-effective for a broader range of hardware innovators, enabling them to develop differentiated products and accelerate their time-to-market.
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