Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems | Circuit and Systems | WSN | 5G

IEEE COINS 2020


Data Mining & Analysis Databases & Information Systems



IEEE COINS is the premier conference devoted to omni-layer techniques for smart IoT
systems, by identifying new perspectives and highlighting impending research issues
and challenges. COINS main topics include the following but are not limited to:
Internet of Things: From Device, to Edge, and Cloud
VLSI, EDA, Embedded Systems, and Computer Architecture
Cloud Computing
Big Data
Distributed Ledger Technologies and Blockchain
Artificial Intelligence, Machine Learning, Cognitive Computing, and Advanced Analytics
Artificial Intelligence Circuits and Systems
Intelligent IoT eHealth
Omni-Layer Security, Privacy, and Trust
Conference Board:
Krishnendu Chakrabarty, Duke University, USA
Jan M. Rabaey, UC Berkeley, USA
David Z. Pan, University of Texas at Austin, USA
Majid Sarrafzadeh, UCLA, USA
Farshad Firouzi, Duke University, USA
General Chairs:
Farshad Firouzi, Duke University, USA
Krishnendu Chakrabarty, Duke University, USA
Technical Chairs:
William Fornaciari, Politecnico di Milano, Italy
Vasilis Pavlidis, University of Manchester, UK
Bahar Farahani, CRC, Germany
Track Chairs:
JOsé Manuel Benitez, University of Granada, Spain
Sebastian Ventura, Univesity of Córdoba, Spain
Jiang Li, Shanghai Jiaotong University, China
Davide Brunelli, University of Trento, Italy
Pasi Liljeberg, University of Turku, Finland
Maria K. Michael, University of Cyprus, Cyprus
Akash Kumar, TU Dresden, Germany
Amir Rahmani, University of California Irvine, USA
Federica Cena, Universita’ di Torino, Italy
Chung-Wei Lin, National Taiwan University, Taiwan
Xing Liu, Kwantlen Polytechnic University, Canada
Kim Grüttner, OFFIS, Germany
Wanli Chang, University of York, UK
Jose Ayala, University of Madrid, Spain
Marina Zapater Sancho, EPFL, Switzerland
All questions about submissions should be emailed to Prof. Farshad Firouzi (farshadfirouzi@gmail.com).