List of The accepted papers for the main conference

Full Papers

• DA-BERT: Enhancing Knowledge Selection in Dialog via Domain Adapted BERT with Dynamic Masking Probability
  Zhi Zeng, Chi-Yin Chow and Ning Li (City University of Hong Kong, Hong Kong)
• Smart Oracle Based Building Management System
  Angan Mitra (Qarnot Computing, France)
• On Realizing Stateful FaaS in Serverless Edge Networks: State Propagation
  Claudio Cicconetti, Marco Conti and Andrea Passarella (IIT-CNR, Italy)
• Reservoir Based Edge Training on RF Data To Deliver Intelligent and Efficient IoT Spectrum Sensors
  Silvija Kokalj-Filipović, Paul Toliver , William Johnson, Robert D Miller (Peraton Labs, USA)
• Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
  Ruixiao Sun (University of South Carolina, USA); Rongze Gui and Himanshu Neema (Vanderbilt University, USA); Yuche Chen (University of South Carolina, USA); Abhishek Dubey (Vanderbilt University, USA); Juliette Ugirumurera and Joseph Severino (National Renewable Energy Laboratory, USA); Aron Laszka (University of Houston, USA); Philip Pugliese (Chattanooga Area Regional Transportation Authority, USA)
• Analytics of IIoT Data Using a NoSQL Datastore
  Khalid Mahmood, Tore Risch and Kjell Orsborn (Uppsala University, Sweden)
• A Semi-Supervised Bayesian Anomaly Detection Technique for Diagnosing Faults in Industrial IoT Systems
  Fabrizio De Vita (University of Messina, Italy); Dario Bruneo (Universita di Messina, Italy); Sajal K. Das (Missouri University of Science and Technology, USA)
• A Novel Recruitment Policy to Defend against Sybils in Vehicular Crowdsourcing
  Federico Concone (University of Palermo, Italy); Fabrizio De Vita (University of Messina, Italy); Ajay Pratap (Indian Institute of Technology (BHU) Varanasi, India); Dario Bruneo (Universita di Messina, Italy); Giuseppe Lo Re (University of Palermo, Italy); Sajal K. Das (Missouri University of Science and Technology, USA)
• ChatterHub: Privacy Invasion via Smart Home Hub
  Omid Setayeshfar, Karthika Subramani, Xingzi Yuan and Raunak Dey (University of Georgia, USA); Dezhi Hong (University of California San Diego, USA); Kyu Hyung Lee and In Kee Kim (University of Georgia, USA)
• OODIn: An Optimised On-Device Inference Framework for Heterogeneous Mobile Devices
  Stylianos Venieris (Samsung AI, United Kingdom (Great Britain)); Ioannis Panopoulos and Iakovos S. Venieris (National Technical University of Athens, Greece)
• STAR: A Scalable Self-taught Learning Framework for Older Adults' Activity Recognition
  Sreenivasan Ramasamy Ramamurthy (University of Maryland Baltimore County, USA); Indrajeet Ghosh (UMBC, USA); Aryya Gangopadhyay (University of Maryland Baltimore County (UMBC), USA); Elizabeth Galik (University of Maryland, Baltimore, USA); Nirmalya Roy (University of Maryland Baltimore County, USA)
• Birdsong Detection at the Edge with Deep Learning
  Simone Disabato and Giuseppe Canonaco (Politecnico di Milano, Italy); Paul G. Flikkema (Northern Arizona University, USA); Manuel Roveri and Cesare Alippi (Politecnico di Milano, Italy)
• WoT Micro Servient: Bringing the W3C Web of Things to Resource Constrained Edge Devices
  Luca Sciullo (University of Bologna, Italy); Ivan Zyrianoff (University of Bologna, Brazil); Angelo Trotta and Marco Di Felice (University of Bologna, Italy)
• CARTMAN: Complex Activity Recognition Using Topic Models for Feature Generation from Wearable Sensor Data
  Kavin Chandrasekaran, Walter Gerych, Luke Buquicchio and Abdulaziz Alajaji (Worcester Polytechnic Institute, USA); Emmanuel O. Agu (WPI, USA); Elke Rundensteiner (Worcester Polytechnic Institute, USA)
• Baby-Guard: An IoT-based Neonatal Monitoring System Integrated with Smart Textiles
  Gozde Cay, Dhaval Solanki and Vignesh Ravichandran (University of Rhode Island, USA); Laurie Hoffman, Abbot Laptook and James Padbury (Women and Infants Hospital, USA); Amy Salisbury (Virginia Commonwealth University, USA); Kunal Mankodiya (University of Rhode Island, USA)
• ARIS: A Real Time Edge Computed Accident Risk Inference System
  Pretom Roy Ovi and Emon Dey (University of Maryland, Baltimore County, USA); Nirmalya Roy (University of Maryland Baltimore County, USA); Aryya Gangopadhyay (University of Maryland Baltimore County (UMBC), USA)
• REPlanner: Efficient UAV Trajectory-Planning using Economic Reinforcement Learning
  Alvi Ataur Khalil, Alexander Byrne and Mohammad Ashiqur Rahman (Florida International University, USA); Mohammad Hossein Manshaei (Florida International University & Isfahan University of Technology, USA)
• Analyzing Machine Learning Approaches for Online Malware Detection in Cloud
  Jeffrey Kimmell (Tennessee Technological University, USA); Mahmoud Abdelsalam (Manhattan College, USA); Maanak Gupta (Tennessee Technological University, USA)
• DILoCC: An approach for Distributed Incremental Learning across the Computing Continuum
  Giovanni Cicceri (University Of Messina, Italy); Giuseppe Tricomi and Zakaria Benomar (University of Messina, Italy); Francesco Longo (Universita di Messina, Italy); Antonio Puliafito and Giovanni Merlino (University of Messina, Italy)
• Understanding the Societal Disruption due to COVID-19 via User Tweets
  Swaroop Shanthakumar, Anand Seetharam and Arti Ramesh (SUNY Binghamton, USA)

Short Papers

• ​​User-centric Distributed Route Planning in Smart Cities based on Multi-objective Optimization
  Francis Tiausas and Jose Talusan (Nara Institute of Science and Technology, Japan); Yu Ishimaki and Hayato Yamana (Waseda University, Japan); Hirozumi Yamaguchi (Osaka University, Japan); Shameek Bhattacharjee (Western Michigan University, USA); Abhishek Dubey (Vanderbilt University, USA); Keiichi Yasumoto (Nara Institute of Science and Technology, Japan); Sajal K. Das (Missouri University of Science and Technology, USA)
• Joint Device Association and Resource Allocation for Time-critical IoT Applications in MEC-enhanced 5G Networks
  Simone Bolettieri and Raffaele Bruno (IIT-CNR, Italy); Enzo Mingozzi (University of Pisa, Italy)
• Integrity Verification For Streaming IoT Applications With A Minimalist Logging Scheme
  Shuangsheng Lou (The Ohio State University, USA); Nisha Panwar and Gagan Agrawal (Augusta University, USA)
• Interoperability in Open IoT Platforms: WoT-FIWARE Comparison and Integration
  Ivan Zyrianoff (University of Bologna, Brazil); Luca Sciullo (University of Bologna, Italy); Alexandre Heideker (Federal University of ABC, Brazil); Carlos Kamienski (Universidade Federal do ABC, Brazil); Marco Di Felice (University of Bologna, Italy)
• Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
  Matthew Burruss (Microsoft Corporation, USA); Shreyas Ramakrishna and Abhishek Dubey (Vanderbilt University, USA)
• Predicting Parking Occupancy by FPGA-Accelerated DNN Models at Fog Layer
  Sang Nguyen, Zoran Salcic and Utsav Dhruv Trivedi (The University of Auckland, New Zealand); Xuyun Zhang (Macquarie university, Australia)
• Energy-Efficient Mapping for a Network of DNN Models at the Edge
  Mehdi Ghasemi and Soroush Heidari (Arizona State University, USA); Young Geun Kim (Soongsil University, Korea (South)); Aaron Lamb (Qualcomm Inc., USA); Carole-Jean Wu and Sarma Vrudhula (Arizona State University, USA)