ICAN2022 is going to be the third edition of the International Conference on Computing, Analytics and Networks and it is going to focus on a wide range of diverse applications in computing, analytics and networks. Broadly, these contemporary application areas include Computing for IoT; Quantum Computing and Quantum AI; AI for Industrial Applications, Energy Systems and Smart grid; AI for Remote Sensing and GIS; Sensor Networks and UAV for Remote Monitoring of Environment etc.
The details about sub topics in each of the identified application area is given below. Prospective authors must see these sub-topics as indicative application areas. If any of the prospective authors have carried out good work in any other application areas of computing, analytics and networks that are not listed below, they are still welcome to submit their work to ICAN2022.
ICAN2022 solicit high impact, high quality, original and unpublished work related to one of the application areas of computing, analytics and networks.
| Quantum Intelligence and Computing Track Chairs – Dr. Rubell Marion Lincy G - Indian Institute of Information Technology, Kottayam, Kerala, India Dr. Abhishek Kumar – Chitkara University, Punjab, India |
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|---|---|
| Quantum Computing | Quantum AI for Healthcare, Supply Chain, and Smart City Applications |
| Quantum Data Properties | Quantum Algorithms for Learning |
| Trends and Transitions in Quantum Computers | Quantum Algorithms for Decision Problems |
| Quantum Control Optimization | Quantum Search |
| Quantum Processors / Sensors / Networks | Quantum Game Theory |
| Quantum Finite Automata | Quantum ML Models for the Areas of Medicine, Materials, Sensing and Communication |
| Quantum ML and DL Models | Quantum ML Model Libraries such as TensorFlow Quantum (TFQ) |
| Industry 4.0 and 5.0 Use Cases of Quantum AI | Top Quantum Computing Applications / Use Cases |
| Cognitive Machine Intelligence and Edge Computing Track Chairs Dr. Raman Singh - University of the West of Scotland, Lanarkshire, Scotland Dr. Sartajvir Singh – Chitkara University, H.P., India |
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|---|---|
| AI in Remote Sensing & GIS | Capsule Networks |
| AI Enables Data Fusion in Advanced Earth Observation Applications | Smart Agent-based Systems |
| AI for Earth Observations | Neuro-Fuzzy Models and Techniques |
| Deep Learning in Remote Sensing Data Classification | Evolutionary Computing |
| Advanced Image Analysis for Geospatial Applications | Expert Systems |
| Secured and Privacy-Preserving Analytics for Smart Energy Systems | Human-Computer Interaction Technologies |
| AI Integration into Smart Energy Systems | Cognitive Intelligence |
| AI based Smart Grid | Computational Intelligence |
| AI in Renewable Energy Systems | Intelligence Fault Diagnosis and Maintenance Technologies |
| Communication Networks and their Analysis Track Chairs – Dr. Shahab Shamshirband - National Yunlin University of Science and Technology, Taiwan Dr. Meenu Khurana – Chitkara University, Punjab, India |
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|---|---|
| Wireless Sensor Networks (WSNs) for Forest Monitoring, Wildlife Preservation, and Agriculture Monitoring | Optical Networks for millimeter and sub-millimeter waves |
| Ecological Monitoring Networks, Impact of climate Change and Human activity | Underwater WSNs – Applications, Architecture, Protocols, Optimization Techniques etc. |
| Advanced Methods for Earth Surface Monitoring | Advances of Civil Applications in Unmanned Aerial Vehicle (UAVs) |
| Optimization of Optical Fiber Sensors for Biological and Environmental Monitoring | UAV Applications, Internet of Drones, Unconventional Drone based Surveying, Industrial UAVs etc. |
| Passive Optical Networks | |
| Data Analytics and Wireless Communication for IoT Applications Track Chairs – Dr. Harleen Kaur - Jamia Hamdard University, New Delhi, India Dr. Shalli Rani – Chitkara University, Punjab, India |
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|---|---|
| Aerial Computing for IoT | Computing for Industrial IoT |
| Machine Learning for IoT based on Graph Theory | Privacy, Security Issues in IoT |
| IoT for Financial Technology | Convergence of Cloud, Edge, AI, and IoT |
| Blockchain for IoT – Sustainable Computing | Human Centric and Tactile IoT |
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