International IOT, Electronics and Mechatronics Conference

IEEE approval pending
Conference ON: 21st-24th April 2021

Full Paper Submission (Hard deadline):
12th August 2020

Full Paper Submission: 28th February, 2021
Acceptance Notification: 18th March, 2021
Final Paper Submission: 25th March, 2021
Early Bird Registration: 31st March, 2021
Presentation Submission: 15th April, 2021
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Important Notice

Full Paper Submission: 28th February, 2021 Early Bird Registration: 31st March, 2021

participating countries

Continuing with the outstanding success of IEEE IEMCON, IEEE CCWC, IEEE UEMCON, IEMANTENNA  we are proud to present  IEMTRONICS 2021 (International IOT, Electronics and Mechatronics Conference)  which will be held during 21st- 24th April, 2021 at Vancouver, Canada, in online mode. Keeping in mind the pandemic situation prevalent globally due to Covid 19 and following the legacy of organizing highly successful conferences, we have planned for the online conference. The conference aims to bring together scholars from different backgrounds to emphasize dissemination of ongoing research broadly in the fields of IOT, Electronics and Mechatronics.  Research papers are  invited describing original works in above mentioned fields and related technologies. The conference will include a peer-reviewed program of technical sessions, special sessions, tutorials and demonstration sessions.

All accepted papers which will be presented during the parallel sessions of the Conference will be submitted for publication in IEEE Xplore Digital Library (Scopus, DBLP, Ei Compendex, Web of Science and Google Scholar).

IEEE approval pending

This conference will also promote an intense dialogue between academia and industry to bridge the gap between academic research, industry initiatives, and governmental policies. This is fostered through panel discussions, keynotes, invited talks and industry exhibits where academia is exposed to state-of-practice and results from trials and interoperability experiments. The industry in turn benefits by exposure to leading-edge research in networking as well as the opportunity to communicate with academic researchers regarding practical problems that require further research.

Vancouver, a bustling west coast seaport in British Columbia, is among Canada’s densest, most ethnically diverse cities. A popular filming location, it’s surrounded by mountains and invites outdoor pursuits of all kinds, but also has thriving art, theatre and music scenes. Vancouver Art Gallery is known for its works by regional artists, while the Museum of Anthropology houses preeminent First Nations collections. Please see the beauty of Vancouver here and top 10 attractions of Vancouver here.

Dr. Vincent Chan

Massachusetts Institute of Technology

Dr. William Lehr

Massachusetts Institute of Technology

Dr. Chuck Easttom

University of Dallas, USA & Georgetown University, USA

Dr. Phillip Bradford

University of-Connecticut-Stamford, USA

Dr. Ronald F. DeMara

University of Central Florida

Dr. Scott C. Smith

Texas A&M University-Kingsville

Dr. Gideon Samid

CTO, BitMint
Case Western Reserve University

Dr. Ali Kanso

Senior SW Engineer at Microsoft, USA

Ayyapparaj Radhakrishnan Ganesan

Vice President,
Machine Learning at Morgan Stanley, USA

Previous keynote and plenary speakers were:


Prof. David Michelson

University of British Columbia, Canada

Prof. Monica Lam

Stanford University


Prof. Detlef Streiferdt

Technical University Illmenau


Prof. Lutz Sparowitz

Graz University of Technology


Prof. Randy Katz

University of California, Berkeley


Dr. Daniel Ford

Dell Research Laboratory


Prof. Nicolas A. F. Jaeger

University of British Columbia


Sidney Fels

University of British Columbia


Dr. Shen-En, Qian

Canadian Space Agency


Dr. Goutam Chattopadhyay

NASA-JPL,California Institute of Technology


Prof. Vincent Wong

University of British Columbia


Prof. Robert Raussendorf

University of British Columbia


Prof. Georgios B. Giannakis

University of Minnesota


Prof. Rodney Vaughan

Simon Fraser University


Prof. Behraad Bahreyni

Simon Fraser University


Mike Mabey



Bruce Matichuk

Salu Design Group Inc.


Prof. Uwe Glässer

Simon Fraser University


Prof. Lutz Lampe

University of British Columbia

0-1 (1)

Wilson Howe



Soroush Karimzadeh

Novarc Technologies


Prof. Pierre Larochelle

South Dakota School of Mines and Technology


Prof. Axel Krings

University of Idaho


Matt Eskandar

MR Control Systems International Inc.

  • IoT and blockchain
  • IoT and big data
  • Next-generation infrastructure for IoT
  • Cloud computing and IoT
  • Edge computing and IoT
  • IoT platforms, tools, and applications
  • IoT systems development methodologies
  • IoT applications
  • Photonics
  • Nano science & Quantum Technology
  • VLSI and Microelectronic Circuit Embedded Systems
  • System on Chip (SoC) Design
  • FPGA (Field Programmable Gate Array) Design and Applications
  • Electronic Instrumentations
  • Sensors & Systems
  • Integrated circuits & power electronics
  • Electronic Power Converters and Inverters
  • Electric Vehicle Technologies
  • Antenna and wireless communication
  • Microwave Engineering
  • Control Theory, Optimization and Applications
  • Robotics and Autonomous Systems
  • Intelligent,Optimal,Robust,Adaptive Control
  • Linear and Nonlinear Control Systems
  • Complex Adaptive Systems
  • Industrial Automation and Control Systems Technology
  • Modern Electronic Devices
  • Biomedical devices & Imaging
  • Energy Harvesting & Conversions
  • Energy Efficient Hardware systems
  • Sensing and Control Systems
  • Mechatronics Systems
  • Mechanical Systems
  • Artificial Intelligence
  • Applications of Robotics
  • Business Intelligence and Applications
  • Computer Network
  • Evolutionary Computation and Algorithms
  • Intelligent Information Processing
  • Information System Integration and Decision Support
  • Image Processing and Multimedia Technology
  • Signal Detection and Processing
  • Technique and Application of Database
  • Software Engineering
  • Mobile Computing
  • Distributed Systems
  • Artificial Intelligence
  • Visualization and Computer Graphic
  • Natural Language Processing
  • Secured distributed systems
  • Deep Learning
  • Machine Learning
  • Internet of Things, Data Mining
  • Data Science
  • Cloud Computing in E-Commerce Scenarios
  • E-Business Systems Integration and Standardization, E-government
  • Electronic Business Model and Method
  • E-Commerce Risk Management
  • Recommender system
  • Semantic Web Service Architecture for E-Commerce
  • Service Oriented E-Commerce and Business Processes
  • Data Analytics and Big Data
  • Software defined networking
  • Ad hoc networks
  • Body and personal area networks
  • Cloud and virtual networks
  • Cognitive radio networks
  • Cyber security
  • Cooperative communications
  • Delay tolerant networks
  • Future wireless Internet
  • Local dependent networks
  • Location management
  • Mobile and wireless IP, Mobile computing
  • Multi-hop networks
  • Network architectures
  • Network Security, Information Security, Encoding Technology
  • Routing, QoS and scheduling
  • Satellite communications
  • Self-organising networks
  • Telecommunication Systems
  • Vehicular networks
  • Wireless multicasting, Wireless sensor networks


Vancouver, Canada.