I²Lab is a place where people support one another, share ideas, and build things that matter. We’re delighted to have you join us! Whether you’re just starting or already deep into your thesis, I’d love to sprinkle some thoughts with you. Think of these principles as the compass that guides how we team up and keep getting better, one step at a time.
| Enrolled Year (入學年) | MS/PhD (碩/博) | Name (姓名) | Current Status (現職) | Research Direction/Thesis (研究方向/論文題目) | | --- | --- | --- | --- | --- | | - | 碩士在職專班 (數名) | TBD | - | 依工作性質及需求，協助決定實務論文研究主題 | | 2026 (115) | PhD (Int'l) | TBD | GRA | 其他Others | | 2026 (115) | MS (Int'l) | TBD | GRA | 營建機器人於高科技廠房設施管理應用 Application of construction robots in high-tech facility management | | 2026 (115) | MS (Int'l) | TBD | GRA | (1) 供應鏈多層網絡之擾動傳播機制與結構韌性 Perturbation Propagation Mechanisms and Structural Resilience in Multilayer Supply Chain Networks (2)基於形式化語意表徵與邏輯推論之土木工程 AI 應用法規監管機制 ****Regulatory Oversight of AI Applications in Civil Engineering via Formal Semantic Representation and Logical Inference | | 2026 (115) | MS (Int'l) | TBD | GRA | (1)基礎設施複雜網絡的臨界行為與統計物理分析 Critical Behavior and Statistical Physics Analysis of Complex Infrastructure Networks (2)供應鏈多層網絡之擾動傳播機制與結構韌性 Perturbation Propagation Mechanisms and Structural Resilience in Multilayer Supply Chain Networks (3)基於形式化語意表徵與邏輯推論之土木工程 AI 應用法規監管機制 ****Regulatory Oversight of AI Applications in Civil Engineering via Formal Semantic Representation and Logical Inference (4)深度學習於地球物理探測解譯 Deep learning in geophysical surveying and Interpretation (5)其他 Others | | 2025 (114) | B.S./M.S. (Int'l) | Hazel (王雪花) | GRA | Critical Behavior and Statistical Physics Analysis of Complex Infrastructure Networks | | 2025 (114) | MS | 蔣岳廷 | 新北市政府消防局災害搶救科科員 | 消防指揮官態勢感知量化模型於虛擬實境訓練之構建與驗證 | | 2025 (114) | MS | 林祐聖 | 世曦工程顧問 | Discrete Event Cumulative Risk Theory and Model Framework 離散事件累積風險理論與模型建構 | | 2025 (114) | MS | 黃靖崴 | 新亞建設開發股份有限公司小組長 | 整合多模態大型語言模型之部分觀察馬可夫決策過程於外露式聚氨酯屋頂防水全生命週期維護決策最佳化 | | 2025 (114) | MS | 吳佳翰 | 達欣工程股份有限公司工程師 | 私人建案導入循環經濟建築之障礙對專案績效影響與專法需求探討 | | 2025 (114) | MS | 許閔媗 | 艾奕康工程顧問股份有限公司設計師暨專管 | 大型語言模型輔助高科技廠房招標文件語意衝突分析與風險分級Large language model–assisted semantic conflict analysis and risk tiering for high-tech facility tender documents | | 2025 (114) | MS (Int'l) | Samira Karmass | GRA | Brain–computer interface integration with large multimodal model prompting for automated piping design in high-tech facilities | | 2025 (114) | MS | 呂昀悅 | GRA | 深度學習於地球物理三維建模之智慧化解譯 | | 2025 (114) | MS | 林承翰 | GRA | Integrating brain–computer interfaces with generative AI for automated high-tech facility piping design and standards compliance verification 結合腦機介面與圖像生成式人工智慧於高科技製造設施管線設計與一致性檢核 | | 2025 (114) | MS | 王立芹 | GRA | 物理約束多實例學習與聲學定位之先進封裝 UF2 輕微脫層風險分流決策系統 | | 2025 (114) | MS | 黃庠霖 | GRA | 桌面縮尺鋼構節點治具之定位銷插入任務：以人形機器人上半身量化施工容差對就位可靠度與失敗模式之影響 | | 2025 (114) | PhD | 翁志傑 | 歐格科技有限公司總經理 | 地球物理資料三維建模之智慧化解譯系統：結合半監督學習與深層特徵表示 | | 2024 (113) | MS | 簡子杰 | 開發公司工務經理 | 探討建築資訊模型（BIM）技術於既有建築地下室拆除重建工程之應用與效益分析 | | 2024 (113) | MS | 陳彥捷 | 臺北市政府消防局副中隊長 | 電腦視覺和深度生成模型對建築藍圖進行自動火災風險評估和緩解 | | 2024 (113) | MS | 陳宏益 | 臺北市政府消防局副中隊長 | 煙霧分層環境下低位避難引導系統之配置與色彩情境效益分析 | | 2024 (113) | MS | 何御睿 | 臺北市政府消防局綜合企劃科營繕股組員 | 卷積與圖卷積融合之長短期記憶網路於火災模擬預測 |
To establish a strong foundation for your research, start by reading journal articles from the top 10% or, at the very least, 25% of your field that have been published in the last two to three years. Prioritize respected publishers like Elsevier, Springer, ASCE, arXiv, or IEEE. These papers not only show you how experienced researchers frame their questions but also help you develop a better sense of what matters in your discipline. On the other hand, it’s best to avoid casual reads like personal blogs or unverified online posts, as they often miss the depth and accuracy you’ll need.
Try to gather a strong mix of at least 20 well-written papers on your topic. This will help you build a clearer picture of the field. As you conduct your research, jot down what catches your attention. You may begin to notice unexpected connections and patterns emerging.
More importantly, talk about what you are reading. Bring it up during meetings. Share what you found interesting or confusing. This is how ideas evolve, and your observations might help others see things in a new way.
Our lab is a shared space, so let’s all work together to keep it clean and organized. Please clean up after yourself, keep the volume low, and don’t turn your desk into a storage locker. We all need our workspace and equipment to be available to everyone who needs them. If you’re not around or not using your space for a while, we may need to reassign it to someone who needs it more urgently.
Communication is super important! When composing emails, particularly to external recipients or your advisor, ensure clarity and maintain a respectful tone. Don’t feel like you have to be super formal, just thoughtful and professional. These little things show that you care and that the whole team cares.
It’s great to start thinking about your research direction early. Feel free to come up with your own topic ideas and chat them over with me. But remember, the final decision needs to align with the lab’s research goals, what we have available, and any potential industry collaborations. When choosing a research topic, it’s important to strike a balance between your curiosity and what’s practical and relevant to our lab’s focus. We’ll work together to find a direction that works for both you and the team.
You don’t have to be a coding expert, but it’s worth getting familiar with tools that can support your work. ChatGPT and GitHub Copilot, for instance, can expedite the writing or brainstorming process. The more you use them, the easier they become. Software like EndNote, Mendeley, and Word’s formatting features might seem minor, but they can save time and make your writing more polished.
When you take on a task, make sure to follow through. No disappearing acts, no endless delays. Just give it your all and complete it to the best of your ability. Before meetings, take a few minutes to prepare a summary of what you’ve done, what you plan to do next, and any questions you have. After the meeting, send a quick recap email to keep things moving forward.
You’re not expected to have all the answers right away. Take your time to explore and learn. Research has its ups and downs, and it’s okay if it feels unpredictable at times. It’s normal to hit a rough patch and change direction. That’s often when the most surprising epiphanies show up. That’s all part of the adventure! The real goal is to build your ability to think clearly and carefully, not just to get things done quickly.
This lab is focused entirely on academic research. While you are affiliated with the group, your time here should be dedicated to your research work. Activities related to technician licensing or professional certification are not allowed during your active research period. We’re all about real research that requires curiosity, persistence, and creativity. If you’re just looking to meet basic requirements, this might not be the best fit for you.