Schedule & Program
Proceedings: https://conferences.computer.org/smartcomppub24
(ID and password has been sent to all registered participants)
June 29th(SAT): Workshops: SSC, SmartAgr, SmartSys, DM-SmartHealth, BITS / Mentoring Session
June 30th(SUN): Main Conference / Keynotes / Industry Session / Poster & Demo
July 1st(MON): Main Conference / Keynotes / Tutorials
July 2nd(TUE): Main Conference / Panel / PhD Forum
Program
We will continue to update the booklet.
Research Session
All Sessions Location: Conf. Hall (12F)
Session 1 Smart Computing for Smart Cities (June 30th, 10:15 – 12:15)
Chair:Stefan Sigg, Aalto University, Finland
POSCA: Path Optimization for Solar Cover Amelioration in Urban Air Mobility
Debjyoti Sengupta, Anurag Satpathy and Sajal K. Das (Missouri University of Science and Technology, USA)
A Graph Neural Network Framework for Imbalanced Bus Ridership Forecasting
Samir Amitkumar Gupta, Agrima Khanna, Jose Talusan and Anwar Said (Vanderbilt University, USA); Dan Freudberg (WeGo Public Transit, USA); Ayan Mukhopadhyay and Abhishek Dubey (Vanderbilt University, USA)
iFair: Achieving Fairness in the Allocation of Scarce Resources for Senior Health Care
Modeste M Kenne (University of California Irvine, USA); Prasanna Date (Oak Ridge National Laboratory, USA); Ronald Eguchi and Zhenghui Hu (ImageCat, Inc., USA); Julie Rousseau (University of California Irvine School of Medicine, USA); Nalini Venkatasubramanian (University of California, Irvine, USA)
Towards Enhanced Urban Management: Introducing A Model for Autonomic Smart City Management
Elham Okhovat and Michael A. Bauer (University of Western Ontario, Canada)
A method for city-wide PoI-level congestion prediction via assimilation of actual and simulation-based PoI congestion data
Haruka Sakagami, Osamu Yamada, Yuki Matsuda, Hirohiko Suwa and Keiichi Yasumoto (Nara Institute of Science and Technology, Japan)
Session 2 Smart Computing Applications (June 30th, 13:15 – 15:15)
Chair: Nirmalya Roy, University of Maryland Baltimore County, USA
RATTLE: Train Identification through Audio Fingerprinting
Leonardo Ciabattini, Luca Sciullo, Alfonso Esposito, Ivan Zyrianoff and Marco Di Felice (University of Bologna, Italy)
ContextGPT: Infusing LLMs Knowledge into Neuro-Symbolic Activity Recognition Models
Luca Arrotta (University of Milan, Italy); Claudio Bettini (Università degli Studi di Milano, Italy); Gabriele Civitarese and Michele Fiori (University of Milan, Italy)
AMPHI: Adaptive Mission-Aware Microservices Provisioning in Heterogeneous IoT Settings
Yuqiao Li (University of California, Irvine, USA); Fangqi Liu (University of California at Irvine, USA); Cheng-Hsin Hsu (National Tsing Hua University, Taiwan); Nalini Venkatasubramanian (University of California, Irvine, USA)
Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving
Eugen Šlapak and Matúš Dopiriak (Technical University of Košice, Slovakia); Mohammad Al Faruque (UC Irvine, USA); Juraj Gazda (Technical University of Kosice, Slovakia); Marco Levorato (University of California, Irvine, USA)
Sharing the Edge: System Status Aware Object Recognition Task Offloading
Chenyang Wang, Owen Eicher and Qi Han (Colorado School of Mines, USA)
Session 3 Smart resource management and optimization (July 1st, 10:15 – 12:15)
Chair: Keiichi Yasumoto, NAIST, Japan
Enhancing UAV Operational Efficiency through Cloud Computing and Autopilot System Integration
Luca D’Agati, Francesco Longo, Giovanni Merlino and Antonio Puliafito (University of Messina, Italy); Giuseppe Tricomi (Institute for High Performance Computing and Networking of ICAR, Italy & University of Messina, Italy)
Water-COLOR: Water-COnservation using a Learning-based Optimized Recommender
Guang Xue Zhang and David L. Feldman (University of California, Irvine, USA); Yiming Lin (University of California, Berkeley, USA); Sharad Mehrotra and Nalini Venkatasubramanian (University of California, Irvine, USA); Thayer Drew and Kim Sentovich (Rachio Inc., USA); Owen Veranth (Analytiks Inc., USA)
From Calls to Scales: Harnessing Smartphone for Daily Mass Measurement
Hamada Rizk (Osaka University, Japan); Merna Hesham (AUC, Egypt); Moustafa Youssef (American University in Cairo, Egypt)
Cost-based Modeling and Optimization of Secure Matrix Multiplication in the Cloud
Richard Hernandez and Kemal Akkaya (Florida International University, USA); Soamar Homsi (Air Force Research Laboratory – Information Directorate (AFRL/RI), USA)
Optimizing Risk-averse Human-AI Hybrid Teams
Andrew S Fuchs (University of Pisa & National Research Council (CNR), Italy); Andrea Passarella and Marco Conti (IIT-CNR, Italy)
Session 4 Best paper candidates (July 1st, 15:45 – 17:30)
Chair: Dario Bruneo, University of Messina, Italy
An MCS Navigation System Based on Road Surface Quality for Bicycle Riders
Federico Montori, Rocco Pastore, Luca Sciullo and Luciano Bononi (University of Bologna, Italy); Luca Bedogni (University of Modena and Reggio Emilia, Italy)
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices
Khoa Anh Tran (National Institute of Information and Communications Technology, Japan); Nguyen Do Van (NICT, Japan); Minh-Son Dao (National Institute of Information and Communication Technology, Japan); Koji Zettsu (NICT, Japan)
PREDEA: Predicted-RoI based Resource-Efficient Object Detection with Aggregation
Yoshikazu Watanabe, Seiya Shibata and Takashi Takenaka (NEC Corporation, Japan)
TASR: A Novel Trust-Aware Stackelberg Routing Algorithm to Mitigate Traffic Congestion
Doris E M Brown, Venkata Sriram Siddhardh Nadendla and Sajal K. Das (Missouri University of Science and Technology, USA)
Session 5 Federated Learning for Networked Systems (July 2nd, 10:45 – 12:15)
Chair: Antonio Puliafito, University of Messina, Italy
DP-MTFL: Differentially Private Multi-Tier Federated Learning for IoT applications
Ramin Soleimani (University College Cork & SFI Centre for Research Training in Advanced Networks for Sustainable Societies, Ireland); Dirk Pesch (University College Cork, Ireland)
FMLFS: A federated multi-label feature selection based on information theory in IoT environment
Afsaneh Mahanipour (University of Kentucky, USA); Hana Khamfroush (University of Kentucky, USA)
Towards Opportunistic Federated Learning Using Independent Subnetwork Training
Victor Romero II (Nara Institute of Science and Technology, Japan & University of the Philippines, Philippines); Tomokazu Matsui, Yuki Matsuda, Hirohiko Suwa and Keiichi Yasumoto (Nara Institute of Science and Technology, Japan)
Session 6 Smart Computing for Security and Anomaly Detection (July 2nd, 13:15 – 15:00)
Chair: Hana Khamfroush, University of Kentucky, USA
Explainable Deep Learning Models for Dynamic and Online Malware Classification
Quincy Card, Daniel Simpson, Kshitiz Aryal and Maanak Gupta (Tennessee Technological University, USA); Sheik R Islam (Rutgers University, USA)
Leveraging Homeostatic Plasticity to Enable Anomaly Detection in Spiking Neural Networks
Rawan M. A. Nawaiseh, Fabrizio De Vita and Enrico Catalfamo (University of Messina, Italy); Dario Bruneo (Universita di Messina, Italy)
On the Role of Re-Descending M-estimators in Resilient Anomaly Detection for Smart Living CPS
Sahar Abedzadeh and Shameek Bhattacharjee (Western Michigan University, USA)
A Domain-Specific Tool for the Creation of Machine Learning Models with Imbalanced Datasets
Dmitrii Fomin (Université Grenoble Alpes, France); Philippe Lalanda (Grenoble University, France); Denis Morand (Schneider Electric, France)
Industry Session
Conf. Hall (12F), June 30th, 15:45 – 16:45
Chair: Kyoungsoon Kim, AIST, Japan
Threshold Estimation-assisted Unsupervised Patch-wise Model for Industrial Inspection of Anomaly
Yang Chen, Peiyue Yuan, Yanyu Wang and Chai Kiat Kiat Yeo (Nanyang Technological University, Singapore); David Aik-Aun Khoo, Minhoe Hur and Keng Teck Ma (Hyundai Motor Group Innovation Center in Singapore, Singapore)
OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization
Jose Talusan and Rishav Sen (Vanderbilt University, USA); Ava Pettet, Aaron Kandel, Yoshinori Suzue and Liam Pedersen (Nissan Advanced Technology Center Silicon Valley, USA); Ayan Mukhopadhyay and Abhishek Dubey (Vanderbilt University, USA)