Download the schedule of SmartComp 2022 as a PDF file
Download the detailed program of SmartComp 2022 (main track) as a PDF file
Tentative Schedule

Monday, June 20 08:45 (Europe/Helsinki)

6th International Workshop on Big Data and IoT Security in Smart Computing (BITS 2022)

8th IEEE International Workshop on Sensors and Smart Cities (SSC 2022)

7th Workshop on Smart Service Systems (SmartSys 2022)

1st Workshop on Climate-Smart Agriculture (C-SmAgr 2022)

Monday, June 20 09:00 C-SMAGR Keynote

Managing risks to build climate-smart and resilient agrifood value chains
Federica Matteoli
Food and Agriculture Organization of the United Nations
Click here for more information

Monday, June 20 12:30 SmartSys Panel

AI and Autonomy for Smart Services

Gurdip Singh National Science Foundation
Ness Shroff Ohio State University
Yiran Chen Duke University
Franco Zambonelli University of Modena and Reggio Emilia

Monday, June 20 14:00 SSC Keynote

Data, competences, interdisciplinarity and technologies: the right mix for smart cities
Roberto Rossi
Thales Italia S.P.A.
Click here for more information

Monday, June 20 15:00 - 17:50 (Europe/Helsinki)

PhD Forum

Click here for more information about the PhD Forum

Monday, June 20 18:30 - 19:50 (Europe/Helsinki) N2Women Keynote

A Journey in Academia: From Theory to Practice
Eirini Eleni Tsiropoulou
University of New Mexico
Click here for more information about the N2Women Event

Tuesday, June 21 08:45 (Europe/Helsinki) Keynote

Computational Behavior Analysis — Smart Devices, Smart Data Analysis, and Smart Humans are Pushing the Boundaries towards usable Digital Health
Thomas Ploetz
Georgia Institute of Technology
Click here for more information

Tuesday, June 21 10:30 - 11:45 (Europe/Helsinki)

S1: Machine Learning for Smart Computing
10:30 Knowledge Infusion for Context-Aware Sensor-Based Human Activity Recognition (full paper), Luca Arrotta and Gabriele Civitarese (University of Milan, Italy); Claudio Bettini (Università degli Studi di Milano, Italy)
10:50 CoDEm: Conditional Domain Embeddings for Scalable Human Activity Recognition (full paper), Abu Zaher Md Faridee, Avijoy Chakma, Zahid Hasan and Nirmalya Roy (University of Maryland Baltimore County, USA); Archan Misra (Singapore Management University, Singapore)
11:10 Generalised Zero-shot Learning for Entailment-based Text Classification with External Knowledge (full paper), Yuqi Wang, Wei Wang, Qi Chen and Kaizhu Huang (Xi'an Jiaotong Liverpool University, China); Anh Nguyen (University of Liverpool, United Kingdom (Great Britain)); Suparna De (University of Surrey, United Kingdom (Great Britain))
11:30 AmicroN: Framework for Generating Micro-Activity Annotations for Human Activity Recognition (short paper), Soumyajit Chatterjee and Bivas Mitra (IIT Kharagpur, India); Sandip Chakraborty (Indian Institute of Technology Kharagpur, India)

Tuesday, June 21 13:30 - 14:45 (Europe/Helsinki)

S2: Smart City Applications
13:30 * Best paper candidate * CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities (full paper), Zirong Chen (Vanderbilt University, USA); Isaac Li (University of Virginia, USA); Haoxiang Zhang (Columbia University, USA); Sarah Preum (Dartmouth College, USA); John Stankovic (University of Virginia, USA); Meiyi Ma (Vanderbilt University, USA)
13:50 Smart Edge-Enabled Traffic Light Control: Improving Reward-Communication Trade-off with Federated Reinforcement Learning (full paper), Nathaniel Hudson (University of Kentucky, USA); Pratham Oza (Virginia Tech, USA); Hana Khamfroush (University of Kentucky, USA); Thidapat Chantem (Virginia Tech, USA)
14:10 * Best paper candidate * SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation (full paper), Lanyu Shang (University of Illinois at Urbana-Champaign, USA); Yang Zhang (University of Notre Dame, USA); Quanhui Ye, Na Wei and Dong Wang (University of Illinois at Urbana-Champaign, USA)
14:30 Neural Architecture and Feature Search for Predicting the Ridership of Public Transportation Routes (short paper), Afiya Ayman (University of Houston, USA); Juan Martinez (Vanderbilt University, USA); Philip Pugliese (Chattanooga Area Regional Transportation Authority, USA); Abhishek Dubey (Vanderbilt University, USA); Aron Laszka (University of Houston, USA)

Tuesday, June 21 14:45 (Europe/Helsinki)

WIP and Demos
14:50 Toward Measuring Conversation Duration Using a Wristwatch-type Wearable Device Yuki Komatsu, Kazuki Shimojo, Yuuki Nishiyama, Kaoru Sezaki
15:03 Dissecting the Problem of Individual Home Power Consumption Prediction using Machine Learning Enrico Casella, Eleanor Sudduth, Simone Silvestri
15:16 Toward an API-Driven Infinite Cyber-Screen for Custom Real-Time Display of Big Data Streams Mirco Soderi, Vignesh Kamath, John Breslin
15:29 Detecting Childcare Activities Using an Off-the-shelf Smartwatch Yuki Kasahara, Yuuki Nishiyama, Kaoru Sezaki
15:45 Announcement
SmartComp 2023

16:00 Skadi: Heterogeneous Human-sensing System for Automotive IoT Dennis Neumann, Ella Peltonen
16:13 Demo: Automated Micro-Activity Annotations for Human Activity Recognition with Inertial Sensing Soumyajit Chatterjee, Bivs Mitra, Sandip Chakraborty
16:26 A Demo of a Software Platform for Ubiquitous Big Data Engineering, Visualization, and Analytics, via Reconfigurable Micro-Services, in Smart Factories Mirco Soderi, Vignesh Kamath, John G. Breslin
16:39 Demonstrating Optimized Delegation Between Ai And Human Agents Andrew Fuchs, Andrea Passarella, Marco Conti
16:52 An Intelligent Assistant for Converting City Requirements to Formal Specification Zirong Chen, Isaac Li, Haoxiang Zhang, Sarah Preum, John Stankovic, Meiyi Ma
17:05 Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge Zahid Hasan, Emon Dey, Sreenivasan Ramasamy Ramamurthy, Nirmalya Roy, Archan Misra
17:18 Demo: On-line Supervisor for the Line Follower Robot Maurizio Palmieri, Carlo Vallati, Giuseppe Anastasi, Cinzia Benardeschi
17:31 Rendering 3D City for Smart City Digital Twin Lorenzo Adreani, Carlo Colombo, Marco Fanfani, Paolo Nesi, Gianni Pantaleo, Riccardo Pisanu

Wednesday, June 22 13:00 - 14:15 (Europe/Helsinki)

S3: Smart Computing at the Edge
13:00 Stateless or stateful FaaS? I'll take both! (full paper), Carlo Puliafito (University of Pisa, Italy); Claudio Cicconetti and Marco Conti (IIT-CNR, Italy); Enzo Mingozzi (University of Pisa, Italy); Andrea Passarella (IIT-CNR, Italy)
13:20 Chimera: Context-Aware Splittable Deep Multitasking Models for Edge Intelligence (full paper), Sumaiya Tabassum Nimi and Md Adnan Arefeen (University of Missouri Kansas City, USA); Md Yusuf Sarwar Uddin (University of Missouri-Kansas City, USA); Biplob Debnath (NEC Labs America, USA); Srimat Chakradhar (NEC Research Labs, USA)
13:40 Scheduling Continuous Operators for IoT Edge Analytics with Time Constraints (full paper), Patient Ntumba wa Ntumba and Nikolaos Georgantas (INRIA, France); Vassilis Christophides (ENSEA, France)
14:00 Federated Continual Learning through distillation in pervasive computing (short paper), Anastasiia Usmanova (UGA, France); François Portet (Laboratory LIG, UMR CNRS/INPG/UJF 5217, Team GETALP, France); Philippe Lalanda (Grenoble University, France); German Vega (LIG, France)

Wednesday, June 22 14:15 (Europe/Helsinki) Keynote

Towards Millimeter-scale Contactless Sensing with Wi-Fi/4G/5G Signals: Theory and Applications
Daqing Zhang
Peking University and Telecom SudParis
Click here for more information

Wednesday, June 22 16:00 - 16:40 (Europe/Helsinki)

S4: Smart Health
16:00 * Best paper candidate * RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge (full paper), Zahid Hasan, Nirmalya Roy and Sreenivasan Ramasamy Ramamurthy (University of Maryland Baltimore County, USA); Emon Dey (University of Maryland, Baltimore County, USA); Archan Misra (Singapore Management University, Singapore)
16:20 L3-Net Deep Audio Embeddings to Improve COVID-19 Detection from Smartphone Data (full paper), Mattia G Campana (IIT-CNR, Italy); Andrea Rovati (University of Milano, Italy); Franca Delmastro (IIT-CNR, Italy); Elena Pagani (Università degli Studi di Milano & Institute of Informatics and Telematics - National Research Council, Italy)

Wednesday, June 22 16:40 - 17:20 (Europe/Helsinki)

S5: Security & Privacy
16:40 Look-Up Table based FHE System for Privacy Preserving Anomaly Detection in Smart Grids (full paper), Ruixiao Li (Waseda University, Japan); Shameek Bhattacharjee (Western Michigan University, USA); Sajal K. Das (Missouri University of Science and Technology, USA); Hayato Yamana (Waseda University, Japan)
17:00 Bringing Energy into Utility-Privacy Tradeoff in IoT (full paper), Henrique Potter, Daniel Mosse and Stephen Lee (University of Pittsburgh, USA)

Wednesday, June 22 17:30 (Europe/Helsinki) Panel

Blockchain, NFT, and Cryptocurrencies

Anusha Avyukt University of Southern California
Tram Vo MOBI: Mobility Open Blockchain Initiative
Aljosja Beije Blocklab

Hugo Embrechts Sony R&D Center Europe Brussels
Raghu Bala NetObjex Inc

Thursday, June 23 08:30 (Europe/Helsinki) Keynote

Polifonia: a digital harmoniser for musical heritage knowledge
Valentina Presutti
University of Bologna
Click here for more information

Thursday, June 23 10:00 - 12:45 (Europe/Helsinki)

Industry Track

Click here for more information about the Industry Track

Thursday, June 23 14:00 - 15:00 (Europe/Helsinki)

S6: Emerging Topics in Smart Computing
14:00 Resource Allocation in Quantum Networks for Distributed Quantum Computing (full paper), Claudio Cicconetti, Marco Conti and Andrea Passarella (IIT-CNR, Italy)
14:20 Human Experiences in Teaching Robots: Understanding Agent Expressivity and Learning Effects through a Virtual Robot Arm (full paper), Aviv Elor (University of California - Santa Cruz, USA); Sri Kurniawan (UC Santa Cruz, USA); Leila Takayama (University of California, Santa Cruz, USA)
14:40 Wireless Crowd Charging with Battery Aging Mitigation (full paper), Tamoghna Ojha, Theofanis P. Raptis, Marco Conti and Andrea Passarella (IIT-CNR, Italy)

Thursday, June 23 16:00 (Europe/Helsinki) Panel

Smart Hospital at Home

Mohan Kumar Rochester Institute of Technology
Franca Delmastro National Research Council of Italy
Pushpendra Singh Indraprastha Institute of Information Technology - Delhi

Nalini Venkatasubramanian University of California at Irvine
Linwei Wang Rochester Institute of Technology

Friday, June 24 10:30 (Europe/Helsinki) Tutorial 1

Transfer learning

Mori Kurokawa KDDI Research, Inc.
Kota Matsui Nagoya University Graduate School of Medicine
Zhi Li Osaka University
Kei Yonekawa KDDI Research, Inc.

Friday, June 24 14:00 (Europe/Helsinki) Tutorial 2

Gesture recognition

Dariush Salami Aalto University
Stephan Sigg Aalto University

PhD Forum

15.00-15.10 Opening and introduction of the mock thesis committee
Prof. Nirmalya Roy University of Maryland Baltimore County
Prof. Hana Khamfroush University of Kentucky College of Engineering
Prof. Weixiong Rao Tongji University

Prof. Xiang Su Norwegian University of Science and Technology
Dr. Vesa Hirvisalo Aalto University
15.10-15.30 Predictable fog computing for cyber-physical systems, Jaakko Juhani Harjuhahto
15.30-15.50 Deep learning model composition for edge intelligence, Sumaiya Tabassum Nimi
15.50-16.10 Capacity planning for vehicular fog computing, Wencan Mao
16.10-16.30 Learn to simulate macro- and micro-scopic human mobility, Jiaming Yin
16.30-16.40 Break
16.40-17.00 A complexity assessment for the 5G vehicle-to-everything system with information entropy, Jiajian Li
17.00-17.20 Account takeover detection on e-commerce platforms, Min Gao
17.20-17.40 Scaling up deep reinforcement learning for intelligent video game agents, Anton Debner
17.40-17.50 Wrap-up

Industry Track

The 8th International Conference on Smart Computing (SMARTCOMP 2022) draws upon many industrial applications such as transportation, energy, environmental protection, resource management, healthcare, security, banking, entertainment, and social media. In addition to the research track, this year SMARTCOMP will have a dedicated Industry Track. Accepted papers will be published as part of a separate section of the main conference proceedings that highlights the Industry relevance of the submission. An important criterion for papers to be submitted to the Industry Track is clear industrial association, either in the form of extensive evaluation of research results in industrial use cases or active participation of industry representatives as co-authors. The industry track will provide a forum to discuss novel ideas and emerging results, presenting innovative applications and tools, and bring about novel research questions, approaches, and directions, with an industry focus.

Topics include, but are not limited to, the following:

This work was supported in part by the European Union's Horizon 2020 research and innovation programme under Grant No. 871249.

Locus Grant No. 871249

SMARTCOMP 2022 Industry Track Chairs

Gürkan Solmaz, NEC Labs Europe, Germany
Sameera Palipana, Nokia, Finland
Abhishek Mukherji, Accenture, USA

Technical Program Committee

Suzan Bayhan (University of Twente)
Jonathan Fuerst (NEC Labs Europe)
Joseph Antony (IBM, Ireland)
Sara Modarres Razavi (Ericsson)
Stefania Bartoletti (CNIT, University of Bologna)
Takai Eddine Kennouche (VIAVI)
Avinash Kalyanaraman (Cisco, USA)
David Rojas (Signify, Netherlands)
Pablo Corbalán (NXP semiconductors, Austria)
Ramona Marfievici (Digital Catapult, UK)
Akhil Mathur (Nokia Bell Labs - UK)
Saeidur Rahaman (RMIT, Australia)
Mahbubur Rahman (Samsung Research, USA)


Date: Thursday, June 23

10:00-10:05 Welcome & short introduction to the industry track program
10:05-10:35 High-accuracy joint communication and sensing at mm-wave frequencies
Joerg Widmer IMDEA Networks, Spain

The high bandwidth available at millimeter-wave frequencies allows for very high data rates, but at the same time enables highly accurate localization and environment sensing. In this talk, we discuss how to implement low overhead location and sensing systems. As an example, we present results on the location accuracy that can be achieved with simple millimeter-wave commercial off-the-shelf communication devices. We also discuss how to use communication hardware (rather than dedicated radars) to perform zero-cost monitoring of human movement and activities in indoor spaces, by extracting micro-Doppler effects caused by human motion from the access points. We will specifically focus on the practical implementation aspects, testbed design and experimental results with such systems.

About the speaker
Joerg Widmer is Research Professor and Research Director of IMDEA Networks in Madrid, Spain. Before, he held positions at DOCOMO Euro-Labs in Munich, Germany and EPFL, Switzerland. He was a visiting researcher at the International Computer Science Institute in Berkeley, USA, University College London, UK, and TU Darmstadt, Germany. His research focuses on wireless networks, ranging from extremely high frequency millimeter-wave communication and MAC layer design to mobile network architectures. Joerg Widmer authored more than 200 conference and journal papers and three IETF RFCs, and holds 14 patents. He was awarded an ERC consolidator grant, the Friedrich Wilhelm Bessel Research Award of the Alexander von Humboldt Foundation, a Mercator Fellowship of the German Research Foundation, a Spanish Ramon y Cajal grant, as well as nine best paper awards. He is an IEEE Fellow and Distinguished Member of the ACM.

10:35-11:05 Industry view and Samsung role in LOCUS project
Tomasz Mach Samsung R&D Institute, UK

LOCUS is an ongoing EU Horizon 2020 funded collaborative R&D project started in 2019 focused on the localization and analytics in new 5G applications. Core technical work covers use cases, system architecture and proof of concepts based on the novel localization enablers and localization and analytics mechanisms for Smart Network Management and new services e.g. Network-assisted Self-Driving Objects and People Mobility and Flow Monitoring. The project consortium includes partners from the academia and the industry and this talk will illustrate the perspective of one of the industrial partners and will provide an overview of its main research activities. Finally, Samsung technical contributions to different work packages will be presented including their links to standardization.

About the speaker
Tomasz Mach holds PhD degree in mobile communications from the University of Surrey UK with almost twenty years of experience in various technical and leadership roles in the wireless industry. Those include 3G protocol software development, 4G small cells and SON architecture and systems engineering, technical marketing and pre-sales, research and mobile communications standards development including his work in various 3GPP, ETSI, 5GAA and O-RAN Alliance groups. Before joining Samsung in 2015, he worked at Orange, Motorola, Thales, Nokia, Blackberry and Cisco. Recently, he contributed to and coordinated various EU funded international 5G R&D activities including LOCUS project. He is a co-author of "5G System Design: Architectural and Functional Considerations and Long Term Research" book and also authored many patent applications, standards contributions and research papers. Among others, his current interest includes beyond 5G systems and V2X.

11:05-11:35 Past, present and future positioning standardization in 3GPP
Sara Modarres Razavi Ericsson

In today's fast-paced telecom industry, it is very important to have access to the up-to-date research questions, concerns and problems timely. Standardization fora are the platforms in which these problems would be tackled and while not always the solutions are the best and the most optimum ones, they are basically the result of consensus among many different sectors and players in this field. LOCUS has the muscles in terms of engaged partners to monitor, identify and impact on the problems and solutions brought up in the positioning field of these standardization fora such as 3GPP and ETSI. These engagements are the sources of standard related IPRs as well as platforms initiating global solutions that would be adopted in all devices, networks in future releases in a wide aspect. Ericsson, as one of the LOCUS partners, is actively engaged in 3GPP in all levels of SA, CT and RAN, and is an active contributor in terms of positioning standardization topic since its start from LTE Release 9. The LOCUS project time frame was aligned with Release 17 RAN standardization and the start of Release 18, and the project has been monitoring, reviewing, and contributing to the enhancement of the positioning solutions during its time frame.

About the speaker
Sara Modarres Razavi has recently become the Innovation Program Manager for Ericsson Cloud RAN. Before that she was Master Researcher and the project manager of 5G and 5G-Advanced 3GPP RAN standardization project at Ericsson. She holds a Ph.D. in Infra-Informatics from Linköping University (2014) and MSc. in Hardware for Wireless Communication from Chalmers University of Technology (2008), Sweden. Her research focus has been on 4G, 5G and now 5G-Advanced cellular networks positioning, radio resource optimization and tracking area management. She contributes to several EU funded international 5G R&D projects including LOCUS and ESA funded project called HOP-5G. Sara Modarres Razavi has more than 15 years’ experience in the R&D within the area of wireless communication and networks and her published contributions include 30+ peer reviewed articles and 100+ filed patents mainly in the area of positioning in wireless networks.

11:45-12:00 FLITC: A Novel Federated Learning-Based Method for IoT Traffic Classification, Mahmoud Abbasi (University of Salamanca, Spain); Amir Taherkordi (University of Oslo, Norway); and Amin Shahraki (Fraunhofer IIS, Erlangen, Germany)
12:00-12:15 Sales volume prediction, application to materials trading, Marc Souply (RMAN Sync/Normandie Univ, France) , Marc Malmaison (RMAN Sync, France), Francois Rioult , Bertrand Cuissart (Normandie Univ, France)
12:15-12:30 Analysis, Hardware Specification and Design of a Programmable Performance Monitoring Unit (PPMU) for RISC-V ECUs, Francesco Cosimi; Fabrizio Tronci (Huawei Research Centre, Italy); Sergio Saponara (Dep. Information Engineering, Italy); Paolo Gai (Huawei Research Centre, Italy)
12:30-12:45 Practical Integration of an adaptive Subgrid Identification System in Medium Voltage Smartgrids based on Machine Learning and Virtualization Solutions (short), Frederik Puhe (Westnetz GmbH, Germany)