24th – 25th March 2023
International Conference on intelligent COMPUting TEchnologies and Research
i-COMPUTER - 2023
Theme: AI for Social and Society Computing
(Virtual Mode)
at
National Institute of Technology Puducherry
An Institution of National Importance, Under Ministry of Education, Government of India
Thiruvettakudy, Karaikal, Puducherry - 609609, India
Diamond Sponsor
Gold Sponsor
Digital Sponsor
ABOUT CONFERENCE
The conference theme, Artificial Intelligence in Social and Society computing aims to bring together industry & academic experts, scholars, and research enthusiasts to share their ideas, experiences, findings, breakthroughs, innovative solutions, and research results on all aspects of Artificial Intelligence in Social computing. We invite high-quality submissions of technical research papers covering the topics including (but not only limited to): AI & ML, Computer Vision, IoT, Blockchain, Immersive Technology, Bigdata & Bioinformatics and its applications comprising agriculture, bioinformatics, healthcare, social networks, robotic systems, and other current challenges.
Important Dates
Full-Length Paper 13th Mar, 2023 (Closed)
Acceptance Notification to Authors 14th Mar, 2023
Registration 20th Mar, 2023
Conference Dates 24th - 25th Mar, 2023
All papers will be peer reviewed and checked for plagiarism.
Submit papers through https://easychair.org/my/conference?conf=icomputer2023
Queries icomputer.nitpy@gmail.com
Paper Templates:
The Speakers
Dr. K R Murali Mohan
Scientist-G, Think Tank Group, DST, Govt. of India
Dr. V L N Simhan
Southern Georgia University Statesboro, GA, USA
Prof. Farookh Hussain
University of Technology Sydney, Australia
Prof Jemal Abawajy
Deakin University, Australia
Theme of the Conference: AI for Social and Society Computing
Bioinformatics/Healthcare
Query Languages, Bio-Ontology and Data Mining
DNA, RNA and protein sequence analysis
Gene Expression Analysis
Classification of Genes
Sequence Search and Alignment
Protein Structure Prediction
Protein Subcellular Localization Prediction
Functional Genomics, Proteomics
Drug Discovery
Computer-aided detection and diagnosis
Crowdsourcing for smarted healthcare
Applied Machine Learning in Healthcare
Computer-aided detection and diagnosis
Crowdsourcing for smarted healthcare
Applied Machine Learning in Healthcare
Deep Learning for Clinical Decision Support System
Deep Learning for Healthcare Decision making with Electronic Medical Records (EMR)
Deep Learning in Healthcare
Deep Learning Methods for Clinical Trial
Machine Learning and Blockchain Technology for Smart Healthcare
Machine Learning methods for Fraud Detection in Healthcare
Medical Image Classification Using Deep Learning
Cyber-Physical Systems for healthcare
Personalization and patient experience
AR and VR applications for healthcare
Big Data in Healthcare
Medical Informatics
Healthcare Management Systems
DNA analysis
Bigdata/Blockchain/Immersive Technology
Big Data Fundamentals: Volume, Velocity, Variety, Veracity and Value
Big Data Acquisition, Integration, Cleaning, and Best Practices
Big Data Analytics, Algorithms, Search, and Information Retrieval Techniques
AI and Precision Medicine
Bio-molecular & Phylogenetic DBs
Big-Data Visualization
Blockchain in the Internet of things (IoT)
Blockchain in cyber physical systems
Blockchain in social networking
Blockchain in supply chain management
Blockchain in agriculture
Blockchain in connected and autonomous vehicles
Blockchain in crowdsourcing and crowdsensing
Blockchain in mobile cellular networks
Blockchain in edge and cloud computing
Blockchain in next generation communications and networks
Blockchain and Cryptocurrency
Blockchain and artificial intelligence
Blockchain and industry 4.0
Scalability of blockchains
Trade finance with blockchain
Blockchain for Medicine and Health Care
Role of Cryptography in Blockchain
Privacy preservation of data in Blockchain
Mixed reality (MR)
Augmented reality (AR)
Digital Twin Technology
Metaverse
Marker-based AR
Virtual reality (VR)
Pervasive Game
IoT/SIoT/ IIoT Stream
Smart Sensors
Sensor Fusion
Wireless Sensor networks
Algorithms for Internet of Things
Architectures for Internet of Things
Addressing schemes for Internet of Things
Hybrid cloud computing for Internet of Things
Embedded Cloud Computing for Internet of Things
5G for networking in Internet of Things
Antennas for IOT Applications
Remote access and management
Human Internet of Things
Machine-to-Machine (M2M) communications
Modern Heuristics Methods in Factory Automation
Home and Building Automation
Edge Computing
RFID Systems and Antennas
Embedded Intelligence
Middle ware and architectures for M2M Platforms
Web of Things
Intelligent Transportation Technologies and Systems
Intelligent medical devices and sensors
Sensor networks and systems for healthcare
Software Defined Networks
Industrial IoT
AI & ML /Computer Vision
Foundations, algorithms, models and theory of AI/ML and deep learning
Privacy and security for AI/ML/DL applications
Data preparation and Feature Engineering
AI/ML/DL programming models and abstractions
Validation and verification models for learning systems
Scalability Issues and Solutions for AI/ML and deep learning
Deep Learning (architectures, generative models, deep reinforcement learning, etc.)
Optimization Algorithm for AI/ML and Deep Learning
Data Learning Models for Various types of Data
AI and ML or cyber-physical systems and complex, time-evolving networks.
AI/Ml and Deep Learning Applications
Data Science Theory and Models
AI /ML/Deep Learning for Remote Sensing
Image/Scene segmentation
Object detection and tracking
Performance evaluation and dataset
Image/Video indexing and retrieval
Video surveillance
Video summarization
Video/ Image Classification
Robot Navigation
Vision based Driverless Vehicles
Quantum Machine Learning
Committes
Chief Patron
Patron
International Advisory Board
General Chair
Orginizing Committee
ABOUT DEPARTMENT
Department of Computer Science and Engineering
Science Block, NIT Puducherry, Thiruvettakudy, Karaikal, Puducherry - 609609, India
The Department of Computer Science & Engineering was established in 2010. Since then, the department has held a position of pride in NITPY. The Department offers B.Tech., M.Tech., M.Tech.(By Research), and Ph.D. courses. The curriculum ensures that the courses are integrated with core concepts and cutting-edge technology of IT.
The department has always attracted the best engineering aspirants from all over the country and it has consistently fulfilled the role of producing Computer Engineers ready to meet the demands of the IT world. The department is well-qualified with an experienced team of faculty and well-equipped with high-end computing facilities to support the teaching-learning activities. The Department is also actively involved in various research activities.
The Institute
National Institute of Technology Puducherry
Thiruvettakudy, Karaikal, Puducherry - 609609, India
National Institute of Technology Puducherry, Karaikal (NITPY) established in 2010, is one of the 31 National Institutes of Technology in India & recognized as an Institute of National Importance under the Ministry of Education (MoE), Government of India
NITPY is nestled in the scenes of Karaikal, a coastal enclave in the basin of river Kaveri, is situated on 258 acres near village Poovam and Thiruvettakudy, Karaikal, Union Territory of Puducherry.
NITPY is committed to producing competent and responsible technocrats who can serve the nation on its journey to growth and prosperity. The institute provides keen guidance in terms of experienced and expert faculty members and facilities to sculpt the bright minds into professionally balanced individuals capable enough to take up challenges of nature, society, and the world.
The Institute is constantly attempting to scale new heights by developing a synergy between academics, research, and practice. NIT Puducherry is ranked 144 under the Engineering Institutes category in the NIRF India Ranking 2021 released by the Ministry of Education, Government of India.
