Advanced Technologies and Services Laboratory
蕭舜文 Shun-Wen Mike Hsiao is an Assistant Professor in the Department of Management Information Systems at the College of Commerce at National Chengchi University, Taiwan (國立政治大學 資訊管理學系, 政大 資管). My research interests include cybersecurity, computer virtualization, FinTech (Blockchain and Smart Contract), and data analysis. My information is listed in Google Scholar Citation, Linkedin Profile and ORCID (0000-0003-0780-8144).
E-mail: hsiaom @ nccu.edu.tw
Office: 研究大樓 25613; Lab: 商學院 260535
Tel: +886-2-29393091 #88064; Fax: +886-2-29393754
Address: No. 64, Sec. 2, Zhinan Rd., Wenshan Dist., Taipei City 11605, Taiwan
News and Announcements
Recruiting Graduate Students
(Updated in 2019/01/20)
This lab is looking for students to work with me and other members of the lab. Please email me with your interests and qualifications. Members of the lab share an interest in comprehending various advanced technologies (e.g., computer networks, cloud computing, cybersecurity, data science, and FinTech) and providing practical services to solve real-world problems. We value students of diverse technology backgrounds with strong skills and a passion for science and critical thinking. Usually, a graduate student in the lab needs to solve a real-world problem by reviewing past solutions, developing his/her own theory, building a prototype system, verify or evaluate the effectiveness of your system and clarify the impact to the community. In short, being an architect of problem-solving.
(The following is adapted from the University of Minnesota.) Graduate students in the lab will need to 1) have personal motivation, curiosity, and enthusiasm for learning how the world works, 2) develop a plan to build background skills, 3) become an expert, i.e., subject matter expert, in some aspect(s) of the way the lab functions and share them with your colleagues, 4) communicate with your advisers about your classes, research, and teaching workload to make the best use of your time, 5) make sure that you read and keep up with the published literature so that you understand what is novel and important in your area of research, and 6) present regularly in laboratory meetings.
Currently, several indicative research topics of interests include (but not limited to)
- Security-Related System: Windows/Android/IoT malware behavior profiling and analysis, Cloud security and virtualization. Students in this group will be familiar with several monitoring techniques on different platforms, process execution details, and malware behaviors. It is suitable fore students who are interested in software engineering, system design and implementation researches and jobs.
- FinTech: the applicability of blockchain or smart contract, blockchain re-engineering for financial applications. If you are interested in crypto-currency, smart contract and underlying proof-of-work mechanisms, this group might be one of your options. You will be able to build your own blockchain system and try to improve it for further application, such as autonomous organization and application.
- Artificial Intelligence: malware analysis (both static and dynamic) by using AI techniques, recommendation system for financial applications. You will work as a data scientist who cleans data, analyzes data, designs new AI architecture, implements models in tensorflow, and tests them by real world data.