演講公告

Plasma for Cancer, Transdermal and Semiconductor

Yun-Chien Cheng¹

ABSTRACT

We evaluates Argon Cold Atmospheric Plasma (Ar-CAP) generating Reactive Oxygen and Nitrogen Species (RONS) on murine epidermal melanoma xenografts. Direct treatment exposes tumors to short- and long-lived RONS via water, achieving greater initial tumor volume reduction than indirect treatment (long-lived RONS only after 10-minute decay). Both inhibit growth versus controls by day 13. Spectroscopic analysis shows increasing H₂O₂, NO₂⁻, NO₃⁻, and ∙OH with treatment time; ∙OH penetrates 2 mm in water. No major side effects observed except elevated AST/ALT levels, suggesting short-lived RONS are key for early efficacy, advancing plasma medicine toward human melanoma trials. We also optimizes microbubble generation using a low-flow water pump and mechanical designs like Venturi pipes (15° contraction angle), single-layer mesh, and bubble circulation to enhance nitric oxide (NO) dissolution in water. NO gas is produced via double spark plugs, with parameters like higher voltage duty cycles, dual plugs, and elevated chamber temperatures yielding higher concentrations. Microbubbles improve NO solubility, enabling penetration into agarose gel but not porcine skin or hydrophobic PP membranes. This portable, cost-effective plasma-microbubble method avoids gas leakage issues, promoting NO's benefits for vascular health, male function, and athletic performance, though human applications need further adaptations. In this report, we also share our study to enhance the performance of the plasma in etching and chemical-mechanical polishing.

​1.演講主題：包含演講大綱
Next-Generation Advanced Packaging Technologies for Futuristic AI ASICs
演講主題將介紹先進製程及先進封裝（Advanced Packaging）技術，並探討次世代AI ASIC的最新技術。
此外，葉處長也將分享自身從工程到Marketing的工作經歷，和同學們交流職場生活及生涯規劃。

2.講師個人簡歷：
葉恆誠處長擔任創意電子市場規劃處主管，負責公司的技術市場規劃及業務推廣，與上下游供應商合作夥伴建立關係、尋找解決方案。
葉處長畢業於台大電機系、清大電機研究所，曾於Stanford大學訪問研究。在工程領域工作十年後進入台大商學院就讀，取得NTU GMBA碩士，並於法國巴黎高等商學院（HEC Paris）交換。
葉處長從事IC設計、ASIC 設計服務及半導體 IP 相關領域，擁有超過 20 年的專業經驗並發表多篇國際論文、專利。
在加入創意電子之前，曾擔任 Credo Technology 資深業務開發總監、聯發科技（MediaTek）技術經理、瑞昱半導體、工研院電通所 IC設計工程師、部門主管。​

•聯詠移動產品事業部簡介

•移動產品顯示器驅動IC, 發展近況及趨勢介紹

•給IC設計工程師們的建議

演講大綱
We often enter our careers with a script of what we will and won’t do, only to discover that life has its own plans; every never declared is a gamble as uncertainty becomes the norm. Today’s engineering challenges compound this unpredictability with system-level complexity, as tightly-coupled constraints evolve at an accelerating pace, constantly challenging existing assumptions. Thus, an open, proactive mindset becomes a critical asset. This talk draws on personal experience to invite the audience to move from static objectives to adventures grounded in integrity, resilience, curiosity, and grit. Our goal is not to avoid missteps perfectly, but to remain adaptable enough to stay relevant in the field — long enough to grow, to contribute, and to actually enjoy the ride.

​講者簡歷

   Dr. Katherine H. Chiang is currently Deputy Director at TSMC R&D, where she leads the development of next-generation memory technologies. After graduating from NTUEE in 2012, she earned her Ph.D. in Electronics Engineering in 2015 through a cross-disciplinary program jointly hosted by NTU and Inria, France. Dr. Chiang plays an active role in shaping the global semiconductor research community. From 2021 to 2025, she served on the External Advisory Board of the European Union’s Horizon 2020 initiative, and currently serves on the Memory Technology (MT) Subcommittee for the IEEE International Electron Devices Meeting (IEDM). In recognition of her technical contributions, Dr. Chiang was elected TSMC Academician in 2021 and named one of three finalists for the Global Semiconductor Alliance’s (GSA) 2025 Rising Women in Semi Award. She holds more than 100 U.S. patents.

主題

從台大電機到17年德州儀器職涯：

技術 × 商業 × 領導  -  一條非典型工程師之路

演講大綱

一、我是誰：從工程師到跨國領導者

• 17年TI歷程
• 從技術走向帶領大型業務與工程團隊

二、兩個關鍵轉折

• 德國交換：工程不是全部，人的影響更大
• 軍中經驗：第一次體會領導與賦能的價值

三、關鍵選擇

• 聯發科工程師 vs TI技術銷售
• 職涯不是選工作，而是選「想成為的人」

四、職涯成長四階段

1. 解題 → 找痛點
2. 個人貢獻 → 帶領團隊
3. 執行 → 建立系統
4. 台灣 → 跨國視野

五、三個核心體悟

• 人大於技術：溝通與判斷決定高度
• 職涯非線性：是選擇的累積
• 領導來自勇氣：敢承擔才走得遠

1.探討工程師除了寫程式之外，如何透過提升領導與溝通技能來擴大影響力。

2.分享從初階 (E3) 到資深 (E4/E5) 工程師的成長歷程，以及在不同階段公司（如 Facebook、Cooby、PicCollage）的觀察。

3.人生導航指引：分享「學習極大化 (Maximize Learnings)」與「目標導向 (Goal Oriented)」的人生哲學。​

每天花了一整天的時間待在研究室，住處與學校兩點一線，睡前躺在床上還是擔心著自己的研究進度、或是明天meeting可能會面對的狀況，你的生活是這樣嗎？研究生生活並不容易，好好休息，才能走得更為安適與自在。本講座將從研究生可能面對的挑戰與壓力出發，思考可以如何在過程中「好好休息」，維持生活中的平衡並保持前進的動力。

Title:
Advancing ML for EDA: From Secure Data to Generative AI

Speaker:

Dr. Chen-Chia Chen, NVIDIA

Time:

15:00-16:00, December 23 (Tuesday)

Place:

Room 145, EE2 Building, National Taiwan University

Abstract:
The rise of machine learning (ML) technology inspires a boom in its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs. However, we observe some obstacles in the traditional ML for EDA (ML4EDA) model development flow that would prolong and hinder the model development, including data availability, model architecture design, and model commercialization. Parallel to developments in ML4EDA, generative AI, especially large language models (LLMs), has opened new frontiers in numerous fields by demonstrating capabilities in generating complex structures. Thus, in this talk, I will introduce an advanced ML4EDA model development flow and generative AI techniques for DRC code generation and analog topology design.

Bio:
Chen-Chia is currently an ML engineer at NVIDIA, working on analog layout automation. He completed his Ph.D. in Electrical and Computer Engineering at Duke University, under the advisement of Prof. Yiran Chen in the CEI Lab. He received his B.S. in Electrical Engineering from National Taiwan University in 2020. His research focuses on novel EDA methods, especially for machine learning and generative AI methodologies. He won the best paper award and best paper candidate at ASPDAC’25. He also received second place at the ISPD’19 Detailed Routing Contest and Honorable Mention at ICCAD’20 CAD Contest. 

講師簡介

專長登山、越野跑等戶外運動，職業戶外賽事策劃人，曾參與國內外大型戶
外運動賽事，知名的包含戈壁挑戰賽、TNF100、紅牛24 小時，及國際級戶外
挑戰賽等。曾獲選深圳十佳戶外教練及特殊貢獻獎。
近年在推廣高齡體適能運動，透過運動和飲食等衛教達到健康促進的效益。
目前為台大癌醫中心、台大EMBA 門外社、永福扶輪社及多家企業特聘的體適
能教練。也與台大森林系、台灣森林保健學會和林務局等單位合作，培訓森
林療癒引導員，打造『綠色健身房』，推進全民健康的發展。
現任：
跑山幫越野跑團創辦人
台大田徑校友會理事
深圳青少年成長計劃顧問
深圳山地救援隊教練
領攀山地戶外運動學校講師
林務局森林療癒師培訓講師
台灣森林保健學會講師
台大森林系森林療癒課程客座講師
輔大企管系業師
曾任相關職務：
深圳青少年成長計劃創始人、導師
深圳登協培訓部副部長
深圳登協高山探險部部長
戶外運動相關經歷：
深圳登協戶外教練、凱樂石簽約運動員/教練、The North Face 簽約教練
內蒙、新疆、山東、雲南等地戶外教練班教練
雲南省登協戶外裁判班主教練

講題：
掌握學術研究的黃金法則：圖書館資源與AI素養

演講簡介：
這場講座將帶您掌握學術研究的黃金法則：精準運用圖書館資源，從文獻檢索、全文取得、投稿選刊，到學術倫理與AI素養，全方位提升您的研究效率與品質，讓您在學術道路上事半功倍。

講綱：

1.精準鎖定主題： 學習檢索詞策略，找到你的研究方向。
2.高效文獻檢索： 運用圖書館資料庫，快速篩選核心文獻。
3.無縫全文獲取： 認識多種管道，輕鬆讀取完整內容。
4.投稿選刊策略： 掌握期刊評估技巧，為你的論文找到最佳歸宿。
5.善用AI助手： 培養正確的AI素養，提升研究效率與品質。
6.專業諮詢服務： 了解圖書館如何成為你的學術後盾。

講題：Semiconductor Everywhere: Explore IC Design at TSMC

Semiconductors play a pivotal role in our modern digital world. Far more than mere electronic components, they are the very lifeblood of our digital existence, powering every innovation and connecting our world. At the heart of this advancement, TSMC boasts a complete and robust design team - a collective of brilliant minds meticulously crafting and optimizing every chip. The exceptional work of this team forms the cornerstone ensuring the efficient operation of all modern technological products, from smartphones to AI servers. We will briefly illustrate the complex process of IC design and how TSMC's team, through rigorous design and optimization, transforms cutting-edge technological concepts into tangible chip products.

講員：台積電 徐孟楷資深經理(DTP前瞻設計方案與技術標竿處 )

Meng-Kai Hsu received his B.S. degrees in electronics engineering and computer science from National Chiao Tung University (NCTU), Hsinchu, Taiwan, in 2007, and his Ph.D. degree from the Graduate Institute of Electronics Engineering, National Taiwan University (NTU), Taipei, Taiwan, in 2012. Dr. Hsu is currently a Department Manager in the Design Flow Development Department within the Design and Technology Platform (DTP) at Taiwan Semiconductor Manufacturing Company, Ltd. (TSMC). He is responsible for advanced technology assessment, physical design enablement, and AI/ML design methodology development. Dr. Hsu holds over 20 U.S. patents and received the Excellent Young Engineer Award from the Chinese Institute of Engineers in 2025.

[演講訊息]

Analog Design Experiments with AI

演講者：Prof. Behzad Razavi(University of California, Los Angeles )

時間：2025年09月24(三)下午4:00~5:00

地點：國立台灣大學電機二館105演講廳

本次活動有興趣可至連結報名：https://reurl.cc/E6V8KR

演講大綱﹕

With the rapid rise of AI in various fields, we naturally wonder whether it can help or even replace analog designers. As a first step in our investigation, we evaluate the present capabilities of ChatGPT and probe its conceptual understanding beyond what it can find online. We limit our study to undergraduate analog CMOS circuits, pose questions to ChatGPT, and analyze the answers that it provides. We report answers of which many are surprising, either because they are not obvious but correct or because they are obvious but incorrect. Whether or not AI  will replace analog designers in the near future will be clear by the end of the presentation.

作者簡介﹕

Behzad Razavi is Professor of Electrical Engineering at UCLA, where he conducts research on analog and RF integrated circuits. Prof. Razavi has served as an IEEE Distinguished Lecturer and published more than 200 papers and nine books. He has received nine IEEE best paper awards and six teaching and education awards, and his books have been published in seven languages. He received the IEEE Pederson Award in Solid-State Circuits and was recognized as a top author in the 50-year and 75-year histories of the IEEE International Solid-State Circuits Conference. He is a member of the US National Academy of Engineering and a fellow of the US National Academy of Inventors.