Call for Participation: BuildSys/SenSys Joint PhD Forum
The BuildSys/SenSys 2020 Joint PhD Forum (Doctoral Colloquium) provides an opportunity for doctoral students to explore and develop their research interests in an interdisciplinary workshop, under the guidance of a panel of distinguished researchers. The Forum provides an excellent opportunity for Ph.D. students to present their dissertation research, including work in progress, to the wider embedded networked sensor systems community. This meeting offers an opportunity to share experiences with other Ph.D. students and meet with accomplished international researchers and obtain feedback from them. Accepted Ph.D Forum (Doctoral colloquium) abstracts will be included into ACM BuildSys/SenSys Digital Library.
Best PhD Forum Presentation Award: All the presenters will be eligible to compete for a best PhD forum presentation award, provided that your abstract is accepted.
Free Registration: Conference registration is free this year. Please remember to register asap.
Program (November 16)
Session 1
Panelists: Rasit Eskicioglu (University of Manitoba), Chris XiaoXuan Lu (University of Edinburgh), Tong Yu (Samsung Research America)
- #1 PhD Forum Abstract: Scalable mHealth Technologies for Public Health Monitoring
- #3 PhD Forum Abstract: Privacy-Preserving Machine Learning for Time Series Data
- #11 PhD Forum Abstract: A Robust Discrete Event Method for the Design of Cyber-Physical Systems
- #47 PhD Forum Abstract: Towards Robust and Low-complexity Radiometric Fingerprint
- #51 PhD Forum Abstract: Distributed Machine Learning for Collaborative Mobile Robots
Session 2
Panelists: Hua Huang (University of California Merced), Wei Ma (The Hong Kong Polytechnic University), VP Nguyen (University of Texas at Arlington)
- #15 PhD Forum Abstract: Scalable Bridge Health Monitoring using Drive-by Vehicles
- #23 PhD Forum Abstract: Uncovering Opportunities for Energy Harvesting Technologies
- #44 PhD Forum Abstract: Noise-tolerant and Context-Aware Structural Vibration Based Activity Monitoring
- #91 PhD Forum Abstract: Generating Location Data with Generative Adversarial Networks for Sensing Applications
- #98 PhD Forum Abstract: Inferring Finer-grained Human Information with Multi-modal Cross-granularity Learning
Session 3
Panelists: Chenren Xu (Peking University), Mostafa Mirshekari (Searchable), Xiaoxi Zhang (Sun Yat-sen University)
- #14 PhD Forum Abstract: Improving Cyber-Physical System Performance Through Actuator-Sensor Interactions
- #45 PhD Forum Abstract: Requirements Analysis for Reminder System in Daily Activity Recognition Dementia
- #60 PhD Forum Abstract: Adversarial Attacks on Malware Detection Models for Smartphones using Reinforcement Learning
- #62 PhD Forum Abstract: Mobile Application for Caregiver in Collecting Statistical Data of BPSD Attack Focused on Macro Activities
- #64 PhD Forum Abstract: Multilabel Classification in Human Activity Recognition
Important Dates
- Submission Deadline:
September 25th (Friday), 2020, 12:00 pm (Noon) - Pacific TimeOctober 1st (Thursday), 2020, 12:00 pm (Noon) - Pacific TimeOctober 10th (Saturday), 2020, 12:00 pm (Noon) - Pacific Time
- Notification of Acceptance:
October 10th (Saturday), 2020
- Camera Ready Deadline:
October 16th (Friday), 2020, 12:00 pm (Noon) - Pacific Time
- Doctoral Consortium Day(s):
November 16th (Monday), 2020, 7:00 am - 12:15pm (JST)
Submission Detail
- The paper should not exceed 2 pages.
- Submission template format should follow ACM Master Article Template (with sigconf setting, double column).
- Submissions do not need to be anonymous and should have a Ph.D. student as the sole author.
- BuildSys submission system: https://buildsys20phd.hotcrp.com/
- SenSys 2020 Doctoral Colloquium Webpage: http://sensys.acm.org/2020/dc/
REVIEW & PUBLICATION
- All publications will be peer reviewed together with their contribution to the topic of the Ph.D. forum.
- The accepted papers will be published in the SenSys 2020 adjunct proceedings, which will be included in the ACM Digital Library.
Joint Organization
- BuildSys Organizer: Susu Xu (Stony Brook University, USA)
- SenSys Organizer: Sozo Inoue (Kyushu Institute of Technology, Japan), Shijia Pan (UC Merced, USA)
- Secretary: Tahera Hossain (Kyushu Institute of Technology, Japan)
Technical Program Committee/Panelist
- Hua Huang (UC Merced)
- Tong Yu (Samsung Research USA)
- Wei Ma (Hongkong Polytechnic University)
- Rasit Eskicioglu (University of Manitoba)
- VP Nguyen (University of Texas at Arlington)
- Chenren Xu (Peking University)
- Chris XiaoXuan Lu (The University of Edinburgh)
- Xiaoxi Zhang (SunYat-sen University)
- Mostafa Mirshekari (Searchable.ai)
Accepted Papers
- PhD Forum Abstract: A Robust Discrete Event Method for the Design of Cyber-Physical Systems
- PhD Forum Abstract: Adversarial Attacks on Malware Detection Models for Smartphones using Reinforcement Learning
- PhD Forum Abstract: Distributed Machine Learning for Collaborative Mobile Robots
- PhD Forum Abstract: Generating Location Data with Generative Adversarial Networks for Sensing Applications
- PhD Forum Abstract: Improving Cyber-Physical System Performance Through Actuator-Sensor Interactions
- PhD Forum Abstract: Inferring Finer-grained Human Information with Multi-modal Cross-granularity Learning
- PhD Forum Abstract: Mobile Application for Caregiver in Collecting Statistical Data of BPSD Attack Focused on Macro Activities
- PhD Forum Abstract: Multilabel Classification in Human Activity Recognition
- PhD Forum Abstract: Noise-tolerant and Context-Aware Structural Vibration Based Activity Monitoring
- PhD Forum Abstract: Privacy-Preserving Machine Learning for Time Series Data
- PhD Forum Abstract: Requirements Analysis for Reminder System in Daily Activity Recognition Dementia
- PhD Forum Abstract: Scalable Bridge Health Monitoring using Drive-by Vehicles
- PhD Forum Abstract: Scalable mHealth Technologies for Public Health Monitoring
- PhD Forum Abstract: Towards Robust and Low-complexity Radiometric Fingerprint
- PhD Forum Abstract: Uncovering Opportunities for Energy Harvesting Technologies