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AIAMMS-2023

1st International Conference on Artificial Intelligence, Advanced Materials, and
Mechatronics Systems (AIAMMS-2023)

(NOVEMBER 3-4, 2023)

ORGANISED BY:

School of Engineering and Technology, JECRC University, Jaipur, India


VENUE:

JECRC University, Plot No. IS-2036 to IS-2039, Ramchandrapura Industrial Area,
Vidhani, Sitapura Extension, Jaipur-303905, India


AIAMMS-2023

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AIAMMS 2023 WILL BE HELD IN HYBRID MODE (ONLINE & OFFLINE)        CLICK HERE TO
SUBMIT PAPER        CLICK HERE TO REGISTER PAPER

“IT IS PLANNED TO PUBLISH THE HIGH QUALITY PAPERS IN PROCEEDINGS (OF ARTIFICIAL
INTELLIGENCE TRACK) WITH SPRINGER IN THEIR COMMUNICATIONS IN COMPUTER AND
INFORMATION SCIENCE SERIES"

*ALL THE ACCEPTED, REGISTERED AND PRESENTED PAPERS* WILL BE PUBLISHED IN
*SCOPUS* INDEXED PROCEEDINGS AND JOURNALS GIVEN IN PUBLICATIONS TAB.

SPECIAL ISSUES OF JOURNALS INDEXED IN SCOPUS/WEB OF SCIENCE/SCIE.

(AIAMMS-2023) 1ST INTERNATIONAL CONFERENCE ON “ARTIFICIAL INTELLIGENCE, ADVANCED
MATERIALS AND MECHATRONICS SYSTEMS"

PUBLISHING PARTNERS













TECHNICAL PROFESSIONAL PARTNERS

Prakash Bharati (consortium of IEEE Photonics Society Chapters of India)



IEEE Delhi Section Photonics Society Chapter-Rajasthan



Computer Society of India



IEEE Student Branch- JECRC University




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WELCOME

The International Conference on “Artificial Intelligence, Advanced Materials and
Mechatronics Systems (AIAMMS-2023)" focuses on promoting Interdisciplinary
research-based advancements in Artificial Intelligence, Materials and
Mechatronics Systems. It would be an excellent opportunity for Academicians,
Researchers, Technocrats, and Students to present their new and innovative
research findings in the fields of Emerging Artificial Intelligence, Advanced
Materials, Mechatronics Systems, Engineering Issues, and Challenges for
Industrial Applications.

This conference will also discuss the impact of robotics, augmented reality, and
IoT on value chain support and optimization, Artificial Intelligence in the
Manufacturing Sector, Industry 4.0, Advanced Optimization Techniques,
Sustainable Environmental Materials, Non-Destructive Evaluation Techniques,
Sustainable Technology Innovation, Performance Optimization, Energy &
Environmental Materials.

TOPICS COVERED

All the topics including the cutting-edge research related to all fields of AI /
ML systems, robotics and automation, Advanced Manufacturing, Mechatronics
Systems, and Advanced Materials welcomed. The topics of interest include but are
not restricted to:


ARTIFICIAL INTELLIGENCE (AI)

 * AI-Based NLP
 * Agents and Multi-agent systems
 * AI in Smart Health Care
 * AI in Food Processing
 * AI in Wearable Medical Devices
 * Self Aware AI
 * AI in Reactive Machines
 * AI in Dynamic Power Scheduling
 * AI in Economy Prediction
 * AI in Industrial Internet of Things (IIOT)
 * AI-Algorithms & Tools
 * Machine learning and artificial intelligence in the field of medicine
 * Machine Learning Algorithms
 * Computer Vision
 * Supervised Machine Learning
 * Unsupervised Machine Learning
 * Deep Learning
 * Neural Networks
 * Reinforcement Learning
 * Predictive Learning
 * Computational Learning Theory
 * Adversarial Machine Learning
 * Quantum Machine Learning
 * Robot Learning
 * Meta-Learning
 * Applications of Machine Learning
 * DL in Automatic Speech Recognition
 * DL for Image Recognition
 * DL for Natural Language Processing
 * DL in Toxicology
 * DL for Customer Relationship Management
 * DL in Bioinformatics
 * DL in Mobile Advertising
 * Artificial intelligence governance
 * DL in building intelligent systems
 * IoT in artificial intelligence
 * Ensemble Forcasting Algorithms
 * Web Intelligence Applications and Cyber-security
 * Automated reasoning and inference
 * Pervasive Computing and Ambient Intelligence
 * Evolutionary Computing
 * Heuristic and AI Planning Strategies and Tools
 * Fuzzy Logic in AI Systems
 * Hybrid Intelligent Systems
 * Industrial Applications of AI
 * Uncertainty in AI
 * AI Optimized Hardware
 * Ethical AI
 * Advancement of AI systems
 * Data Mining and Machine Learning Tools
 * Efficient model training, Inference, and Serving
 * Privacy and security for ML applications
 * ML programming models and abstractions
 * Hardware-efficient ML
 * Emerging practices in ML
 * Cybernetics
 * Model-Based Reasoning
 * Neural Networks
 * Parallel Processing
 * Computational models for MI
 * Ontologies
 * Bayesian Networks
 * Soft computing theory and Applications
 * Computer Vision in Object Analysis
 * Computer Vision in Hand gesture recognition.
 * Computer Vision in Human emotion recognition.
 * Computer Vision in Road lane detection.
 * Computer Vision in Business card scanner
 * Digital Twin
 * Intelligent Augmented Reality and Virtual Reality
 * Big Data Analytics
 * Intelligent Blockchain techniques


ADVANCED MANUFACTURING AND INDUSTRIAL ENGINEERING

 * 3D / 4D / 5D Printing
 * Operations Research and Soft Computing
 * Quality and Applied Statistics
 * Industry 4.0 and 5.0
 * Manufacturing Automation and e-Business,
 * Industrial Technology and Management,
 * Product Lifecycle Management,
 * Production and Operations Management
 * CAD/ CAM/ CAPP/ CIM
 * Computer Numerical Control (CNC)
 * Cyber-Physical Production Systems
 * Cyber Security in Manufacturing
 * Digital Manufacturing
 * Smart Manufacturing
 * Green Manufacturing
 * Ergonomics in Production
 * Cellular Manufacturing
 * Agile Manufacturing
 * Flexible Manufacturing Systems
 * Integrated Manufacturing
 * Intelligent Manufacturing
 * Modern Manufacturing Processes
 * Incremental Sheet Forming
 * Advanced Forming Techniques
 * Advanced Joining Techniques
 * Green Welding Technology
 * Automation in Welding and Fabrication
 * Advance Measurement and Metrology
 * Supply Chain Management
 * Sustainability and green systems
 * Sustainable Development and Manufacturing
 * Systems Modeling and Simulation
 * Information Processing and Engineering
 * Intelligent and collaborative manufacturing
 * Industrial Production Systems Revival
 * Industry 4.0
 * Industrial automation and control
 * Advanced Human-Machine Interfaces
 * Information Processing and Engineering
 * Smart Factories


ADVANCED MATERIALS

 * Emerging Materials for Hydrogen Storage
 * Automotive Materials
 * Bio-ceramics and Materials for Medical Applications
 * Biomaterial Designing
 * Biopolymers and bioplastics packaging
 * Ceramics Coating
 * Electronics Material
 * Energy Storage Devices
 * Fabrication Methods of Composites
 * Functionally graded composites
 * Glass Science Technology
 * Instrumentation Technology
 * Magnetic Materials
 * Materials Characterization Nanomaterials
 * Materials properties and applications
 * Materials Theory, Computation, & Design
 * Metallic materials
 * Nanocomposites
 * Novel synthesis and processing of ceramics
 * Photovoltaic, fuel cells and solar cells
 * Piezoelectric materials
 * Polymers
 * Printing of organs and tissues
 * Radar Absorbing Materials (RAM)
 * Semiconductors
 * Smart Biomaterials/Materials
 * Superconductors
 * Surfaces & Interfaces
 * Tissue regeneration
 * Aerospace Materials
 * Bioinspired Materials
 * Biomedical-Nanotechnology
 * Carbon Nanostructures and Graphene
 * Ceramics, Polymer, and Advanced Fibre Composites
 * Magnetic Materials
 * Microstructure and Characterization of Materials
 * Nano-metrology and Instrumentation
 * Nanoparticle and Nano-scale Research
 * Optical Materials and Plasmonics Spintronics
 * Photonic Material
 * Ultrafast Material Processing
 * Other allied and emerging topics on material science and engineering


MECHATRONICS SYSTEMS

 * Automotive Mechatronics
 * Advanced Motion Control
 * Mechatronics in Energy Systems
 * Micro and Nano Mechatronics
 * Biomechatronics
 * Intelligent Control and AI in Mechatronics
 * Process Control & Instrumentation
 * Sensor Networks, Networked Control
 * Opt Mechatronics
 * Factory Modeling and Automation
 * Sensors and actuators design and data collection approaches
 * Model-based mechatronic system design
 * Computational intelligence in mechatronic systems
 * Mechatronics systems synthesis, analysis, and design
 * Ocean Mechatronics
 * Intelligent Mechatronics
 * Ambient Assisted Living
 * Personalized and Automated Transportation, Electric Vehicles
 * Cyber-Physical Systems
 * Real-time Systems
 * Automated Guided Vehicles
 * Process Automation
 * Man-machine Interactions
 * Agents and Multi-agent Systems
 * Robot Design
 * Robotic Grasping and Manipulation
 * Automated Mining
 * Ubiquitous Robots and Devices,
 * Mobile Industrial Robots
 * Environmental Interaction and Navigation
 * Robot Intelligence and Learning
 * Humanoid Robots
 * Marine Robots
 * Medical Robotics: Biomedical Robotics and Devices, Robotic Surgery, Bio
   Microsystems, Neuro-Robotics
 * Micro & Nano-robotics
 * Neuro-Robotics
 * Robots in Defense
 * Cloud Robotics
 * Cognitive Robotics
 * Drone Technology
 * Underwater Robotics
 * Automation Instruments
 * Manufacturing Automation.
 * Manipulation and Locomotion
 * Dynamics and Kinematics
 * Industrial Applications of Automation
 * Intelligent and collaborative robots


SMART AND ELECTRICAL VEHICLES

 * The state of the art of smart electric and hybrid vehicles
 * Battery management system and energy management of smart electric and hybrid
   vehicles
 * Charging systems of smart electric and hybrid vehicles
 * Mode of charging, chargers, batteries, and adaptors for intelligent electric
   vehicles.
 * Fuel cell based autonomous and unmanned smart electric vehicles
 * Analysis of parameters of intelligent electric and hybrid vehicles
 * Smart Electric vehicles and Intelligent Hybrid Vehicles
 * AI/ML in Electric Vehicles and Autonomous Vehicles
 * IOT in Electric Vehicles and Sustainable Vehicles
 * V2G and G2V and Wireless Charging
 * Drive trains of Smart electric and hybrid vehicles.
 * Types, characteristics, control and components design
 * Components design of smart electric and hybrid vehicles
 * Fast and slow chargers, wireless charging, batteries and materials
 * Smart electric and hybrid vehicles communication control and systems
 * Power electronics in smart electric vehicles
 * Cyber and functional security of intelligent and hybrid vehicles
 * Electromechanical drives and storage system
 * Lightweight materials, types, testing
 * Development of conceptual framework and approaches
 * Design, Modeling and Optimization of smart electric and hybrid vehicles
 * Internet of things-based battery and charging management approach
 * Enablers and barriers for adoption of smart electric and hybrid vehicles
 * Modeling and optimization of Smart electric and hybrid vehicles waste
 * Sustainable experimental, numerical, simulation and computational approaches
 * Role of artificial intelligence, machine learning and machine vision
 * Design and analysis of charging stations and their sustainability roadmap
 * Role of Industry 4.0 in smart electric and hybrid vehicles
 * Assessment of Smart electric and hybrid vehicles
 * Government regulations, policies, tradeoffs, market prospects
 * Commercialization, standardization and demonstration projects
 * Situational awareness, sensing control
 * Road trajectory prediction and navigations systems design
 * Smart electric and hybrid vehicle’s role towards economic and environmental
   aspects
 * Analysis of cost effectiveness, on road performance and life cycle assessment
 * Efficiency, performance and parameters mapping of smart electric and hybrid
   vehicles
 * Conductive electrical interface and protection against electric shock
 * Effect of voltage drop in charging capacity of smart electric vehicles
 * Diagnostics, prognostics and reliability and durability issues
 * Psychology, challenges, recommendations and future outlook

AIAMMS-23 CONFERENCE SPEAKERS

PROF. KRISHNA KUMAR

DEPARTMENT OF AEROSPACE ENGINEERING

TORONTO METROPOLITAN UNIVERSITY, 350 VICTORIA ST., TORONTO, ONTARIO, CANADA

PROF. DUC TRUONG PHAM

DEPARTMENT OF MECHANICAL ENGINEERING, SCHOOL OF ENGINEERING, COLLEGE OF
ENGINEERING AND PHYSICAL SCIENCES

THE UNIVERSITY OF BIRMINGHAM, BIRMINGHAM B15 2TT, UNITED KINGDOM

PROF. ING. SERGEJ HLOCH

PROFESSOR, FACULTY OF MANUFACTURING TECHNOLOGIES

TECHNICAL UNIVERSITY OF KOŠICE WITH A SEAT IN PREŠOV, SLOVAKIA

DR. YANG LIU

SENIOR ASSOCIATE PROFESSOR, DEPARTMENT OF MANAGEMENT AND ENGINEERING

LINKÖPING UNIVERSITY, SWEDEN

PROF. VALENTINA EMILIA BALAS

DEPARTMENT OF AUTOMATION AND APPLIED INFORMATICS, FACULTY OF ENGINEERING

AUREL VLAICU UNIVERSITY OF ARAD, ROMANIA

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SPONSORS






JECRC UNIVERSITY

Plot No. IS-2036 to IS-2039, Ramchandrapura Industrial Area, Vidhani, Sitapura
Extension, Jaipur-303905

Rajasthan, India

+91-9467717120

aiamms@jecrcu.edu.in



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