Prof. Hironori Washizaki is running for IEEE Computer Society President-Elect (voting until Sep 11th 12:00pm EDT)


Prof. Hironori Washizaki is currenly leading directions of IEEE Computer Society as its 1st Vice President 2023, and now running for IEEE Computer Society President-Elect 2024. The election will close on 12:00pm EDT, 11th September, 2023. Please consider your vote! His position statement is available here at: http://www.washi.cs.waseda.ac.jp/washizaki/

IEEE Computer Society Elections (until Sep 11th 12:00pm EDT): https://www.computer.org/volunteering/nomination-election/president-elect-candidates  

Seminar: Prof. Saurabh Bagchi (Purdue University), “Dependability and Machine Learning: A Grand Challenge of the Times” on July 19th

Prof. Saurabh Bagchi from Purdue University will provide his talk titled “Dependability and Machine Learning: A Grand Challenge of the Times” at Waseda University Room 63-0526 (and online) on July 19th. Everyone is welcome.

Speaker: Prof. Saurabh Bagchi (Purdue University)


Professor, Electrical & Computer Engineering, Computer Science
Director, CRISP Center
Director, ECE Corporate Partnerships

Dependability and Machine Learning: A Grand Challenge of the Times

We live in a data-driven world as everyone around has been telling us for some time. Everything is generating data, in volumes and at high rates, from the sensors embedded in our physical spaces to the large number of machines in data centers which are being monitored for a wide variety of metrics. The question that we pose is:

Can all this data be used for improving the dependability of our computing systems?

Dependability is the property that a computing system continues to provide its functionality despite the introduction of faults, either accidental faults (design defects, environmental effects, etc.) or maliciously introduced faults (security attacks, external or internal). We have been addressing the dependability challenge through large-scale data analytics applied end-to-end from the small (networked embedded systems, mobile and wearable devices) [e.g., CVPR-23, CVPR-22, Eurosys-22, NeurIPS-20, Sensys-20, UsenixSec-20] to the large (edge and cloud systems, distributed machine learning clusters) [e.g., Middleware-23, OSDI-22, Sigmetrics-22, NeurIPS-22, UsenixATC-21]. In this talk, I will first give a high-level view of how data analytics has been brought to bear on dependability challenges, and key insights arising from work done by the technical community broadly. Then I will do a deep dive into the problem of configuring complex cloud systems to meet dependability and performance requirements, using data-driven decisions.

For the detailed part, I will show how distributed applications on the cloud can be configured for dependability and predictable performance even as the workloads are changing unpredictably. I will then discuss an exciting and emerging area of cloud computing called serverless applications on the cloud and show they can be configured for dependability and performance determinism.

Biography

Saurabh Bagchi is a Professor in the School of Electrical and Computer Engineering and the Department of Computer Science at Purdue University in West Lafayette, Indiana. His research interest is in dependable computing and distributed systems. He is the founding Director of a university-wide resilience center at Purdue called CRISP (2017-present) and PI of the Army’s Artificial Intelligence Innovation Institute (A2I2) (2020-25) that spans 9 universities. He was selected to the International Federation for Information Processing (IFIP) (2020) and is a Fellow of the Institute of Engineering and Technology (IET) (2022).

Saurabh is proudest of the 25 PhD students and 50 Masters thesis students who have graduated from his research group and who are in various stages of building wonderful careers in industry or academia. In his group, he and his students have way too much fun building and breaking real systems. Along the way this has led to 13 best paper awards or runners-up awards at IEEE/ACM conferences and a Test of Time Award. Saurabh serves as the founder and CTO of a cloud computing startup, KeyByte (2021). Saurabh received his MS and PhD degrees from the University of Illinois at Urbana-Champaign and his BS degree from the Indian Institute of Technology Kharagpur, all in Computer Science.

3 papers accepted for DSA 2023 Industry Track and Fast Abstract Track

3 papers have been accepted for inclusion in the DSA 2023 Industry Track and Fast Abstract Track.

  • Scott Lupton, Lena Yu, Hironori Washizaki, Nobukazu Yoshioka, and Yoshiaki Fukazawa, “Assessment of Real-World Incident Detection Through a Component-Based Online Log Anomaly Detection Pipeline Framework,” 10th International Conference on Dependable Systems and Their Applications (DSA 2023), Industry Track, Tokyo, Aug 10-11, 2023.
  • Jomphon Runpakprakun, Jati H. Husen, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, “Towards Integrated Model-Based Machine Learning Experimentation Framework,” 10th International Conference on Dependable Systems and Their Applications (DSA 2023), Fast Abstract Track, Tokyo, Aug 10-11, 2023.
  • Takuma Tsuchida, Rikuho Miyata, Hironori Washizaki, Nobukazu Yoshioka, Yoshiaki Fukazawa, “Automatic Detection of Abstract–Concrete Relationships between Attack Patterns of ATT&CK and CAPEC with Fine-tuned BERT,” 10th International Conference on Dependable Systems and Their Applications (DSA 2023), Fast Abstract Track, Tokyo, Aug 10-11, 2023.

Activity-based modeling strategy for reliable machine learning system analysis targeting GUI-based applications, accepted for DSA 2023 Regular Paper

Hiroshi Tanaka, Ide Masaru, Kazuki Munakata, Hironori Washizaki, and Nobukazu Yoshioka, “Activity-based modeling strategy for reliable machine learning system analysis targeting GUI-based applications,” 10th International Conference on Dependable Systems and Their Applications (DSA 2023), Regular Paper, Tokyo, Aug 10-11, 2023. (acceptance rate 28% = 36/125)

Can ChatGPT Obey the Traffic Regulations? Evaluating ChatGPT’s Performance on Driving-license Written Test, accepted for ICITE 2023

Shanmin Zhou, Jialong Li, Mingyue Zhang, Daisuke Saito, Hironori Washizaki and Kenji Tei, “Can ChatGPT Obey the Traffic Regulations? Evaluating ChatGPT’s Performance on Driving-license Written Test,” 2023 IEEE the 8th International Conference on Intelligent Transportation Engineering (ICITE 2023), Beijing, China, October 28-30, 2023.

機械学習による機械学習デザインパターンの発見・適用基盤（代表: 鷲崎教授）、科研費 挑戦的研究(萌芽) 2023-2025年度に採択

機械学習による機械学習デザインパターンの発見・適用基盤（代表: 鷲崎教授）、科研費 挑戦的研究(萌芽) 2023-2025年度に採択。

Foundations for extracting and applying machine-learing design patterns (PI: Prof. Washizaki), accepted for Grant-in-Aid for Challenging Research (Exploratory) 2023-2025.

文科省補正予算 成長分野における即戦力人材輩出に向けたリカレント教育推進事業に「スマートエスイーのサステナビリティ・トランスフォーメーション」採択

文科省補正予算 成長分野における即戦力人材輩出に向けたリカレント教育推進事業に「スマートエスイーのサステナビリティ・トランスフォーメーション」採択。DX人材育成にサスティナビリティ組入れ＆そのサステナブルな運営の予定（詳細後日）。関係各位に御礼申し上げます。