The Young Professional (YP) Program at APCCAS 2025 is dedicated to inspiring and supporting the next generation of engineers and researchers in the circuits and systems community. Designed as a platform for young professionals, it offers the opportunity to learn from experts who have successfully bridged academia, industry, and entrepreneurship.
In today’s rapidly evolving world, innovation in circuits and systems goes far beyond technical excellence. Young researchers are expected to combine creativity with responsibility, and to transform their knowledge into technologies that can benefit society. The YP Program reflects this spirit, providing participants with first-hand insights into how scientific discoveries are translated into real-world solutions, and how young engineers can prepare themselves for impactful careers.
This year’s YP session will highlight two distinguished speakers, each representing a unique career path. Their experiences range from developing neuromorphic circuits and founding a biomedical startup to leading large-scale semiconductor and AI hardware projects in global companies. Together, they will illustrate how diverse trajectories can lead to innovation and leadership in the circuits and systems field.
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Handle with care: how to bring research outputs in the field of electronics and neuromorphics from the lab to the bedside, without hurting someone in the processJacopo Secco |
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Biography
Jacopo Secco, Ph.D. in Engineering and MBA, is Assistant Professor at Politecnico di Torino, where he founded the NEURICA Lab to bridge academia and industry. His group develops medical devices for wound care, neurorehabilitation, and advanced computing techniques. As co-founder of Abstract
The journey from laboratory discovery to clinical application is filled with both opportunity and risk. In the field of electronics and neuromorphic engineering, the potential to create transformative healthcare technologies is immense, but so are the challenges of ensuring safety, efficacy, and societal acceptance. In this talk, I will share insights from my dual path as academic researcher and entrepreneur: from developing memristor-based neuromorphic circuits to co-founding a medical device company that introduced Wound Viewer, the first AI-powered telemedicine system for chronic wound care, and rapidly delivering certified ventilators during the COVID-19 crisis. These experiences highlight the tension between scientific ambition, regulatory rigor, and business pragmatism. By retracing successes and setbacks, I aim to provide practical advice for young researchers and innovators on how to responsibly transfer knowledge from bench to bedside, embracing entrepreneurship without losing sight of ethics, patient safety, and the long-term sustainability of innovation. |
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Neural Network Data Compression Method Using Huffman Coding and High-Throughput Decompression Hardware ArchitecturesInjae Yoo |
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Biography
Injae Yoo is an Associate Professor at Pusan National University’s School of Electrical and Electronics Engineering. He received his bachelor’s, master’s, and doctoral degrees in electrical engineering from KAIST in South Korea between 2011 and 2017. After graduation, he spent a Abstract
With generative AI models growing exponentially, there is growing focus on methods to reduce data movement between memory and AI accelerators by compressing neural network parameters in DRAM. However, this approach requires on-chip decompression circuits, presenting two key challenges. First, to offset the area and power consumption of additional circuits, flexible compression algorithms and hardware architectures must effectively compress both parameters and activations. Second, extremely fast decompression hardware matching DRAM bandwidth speeds is essential for real-time operation. This talk presents a Huffman coding-based lossless compression method for neural network parameters and activations, along with a high-throughput decompression hardware architecture that addresses these challenges. |
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