World Class Interactive Webinars Congress.
ABOUT CONFERENCE
Welcome to NextGenTech Empowering Global Summit and TechExpo Connect- 2024
The world is changing at a rapid pace, and technology is the driving force behind this transformation. Our conference aims to showcase the latest technological advancements and explore how technology is transforming industries, enhancing productivity, and improving people's lives. Our conference brings together experts from various fields to discuss the latest technological advancements and how they are empowering individuals and organizations to achieve their goals.
At our conference, you'll hear from notable keynote speakers and panellists who will share their insights and experiences on a range of topics. This facilitates to gain a better understanding of the potential benefits of technology and how it can be leveraged to achieve positive outcomes in human well-being.
The purpose of this conference is to explore the ways in which technology is enhancing productivity, reducing costs, and improving people's lives. We believe that with a packed schedule of sessions, workshops, and networking opportunities, giving you a chance to connect with like-minded individuals and gain valuable insights and ideas. We are confident that you will leave this conference with valuable insights, actionable ideas, and a renewed sense of inspiration.
NextGenTech Empowering Global Summit and TechExpo Connect- 2024
Committee Members & Keynote Speakers
IGSMP INTERNATIONAL is honored to invite world-reputed speakers for the webinar. Our goal is to bring together bright minds to give talks that are idea-focused, and on a wide range of subjects, to foster learning, inspiration, and wonder-and provoke conversations that matter.
NextGenTech Empowering Global Summit and TechExpo Connect- 2024
Sponsors & Associations
Coming Soon
NextGenTech Empowering Global Summit and TechExpo Connect- 2024
Keytopics
Artificial Intelligence (AI) and Machine Learning (ML) - research on developing more accurate, efficient, and effective algorithms for AI and ML, improving human-AI interaction, and exploring the ethical and societal implications of AI and ML.
- Deep learning and neural networks
- Natural language processing (NLP)
- Computer vision and image recognition
- Reinforcement learning
- Explainable AI and interpretability of models
- Bayesian networks and probabilistic models
- Transfer learning and domain adaptation
- Multi-agent systems and distributed AI
- Robotics and automation
- Human-computer interaction and user-centered design
- Knowledge representation and reasoning
- Data privacy and security in AI systems
- Fairness, accountability, and transparency in AI
- Meta-learning and model optimization
- AI for social good and ethical AI
Cybersecurity and Cryptography - research on developing better methods for detecting and preventing cyber-attacks, securing computer networks, protecting personal data, and exploring the impact of new technologies on cyber security.
- Cryptography and cryptographic protocols
- Network security and intrusion detection
- Information security risk management
- Cybersecurity threat intelligence and analytics
- Secure multi-party computation
- Authentication and access control
- Security in the Internet of Things (IoT)
- Blockchain and distributed ledger technology security
- Cloud security and virtualization
- Malware analysis and detection
- Cybersecurity education and workforce development
- Cyber-physical system security
- Cybersecurity policy and regulation
- Forensics and incident response
- Artificial intelligence and machine learning for cybersecurity
Internet of Things (IoT) and Sensor networks - research on developing efficient and secure communication protocols, data management and analysis techniques, and exploring the potential applications of IoT in various fields, such as healthcare, transportation, and energy management.
- Wireless sensor networks and their applications
- IoT architectures and protocols
- Energy-efficient IoT and sensor networks
- Edge computing and fog computing in IoT
- IoT data management and analytics
- IoT security and privacy
- IoT-based smart cities and communities
- Wearable sensor networks and health monitoring
- Industrial IoT and Industry 4.0
- Cognitive and self-organizing sensor networks
- IoT for environmental monitoring and conservation
- IoT for agriculture and smart farming
- IoT and sensor networks for disaster management
- Smart transportation systems using IoT and sensor networks
- Social and economic implications of IoT and sensor networks
Blockchain and Decentralized systems - research on exploring the potential applications of blockchain technology beyond cryptocurrencies, such as supply chain management, identity verification, and secure voting systems, and improving the scalability and security of blockchain networks.
- Blockchain architecture and consensus algorithms
- Smart contract development and deployment
- Decentralized applications (dApps) and their use cases
- Decentralized finance (DeFi) and its applications
- Interoperability and cross-chain solutions
- Blockchain scalability and performance optimization
- Privacy and anonymity in blockchain systems
- Governance models for decentralized systems
- Legal and regulatory issues related to blockchain and decentralized systems
- Tokenomics and incentive design for decentralized systems
- Decentralized storage and file sharing
- Identity management and authentication on the blockchain
- Blockchain-based supply chain management
- Energy-efficient blockchain consensus protocols
- Decentralized autonomous organizations (DAOs) and their governance
Human-Computer Interaction (HCI) - research on improving the usability and accessibility of computer systems, developing new interaction techniques, and exploring the impact of emerging technologies on HCI.
- User experience (UX) and user interface (UI) design principles
- Design methods and tools for HCI
- Usability testing and evaluation
- Human factors in software and system design
- Accessibility and inclusivity in HCI
- User-centered design and participatory design
- Multi-modal interaction and interfaces (e.g., touch, voice, gesture)
- Augmented and virtual reality interfaces
- Information visualization and visual analytics
- Natural language processing and dialogue systems
- Mobile and ubiquitous computing
- Social computing and online communities
- Collaborative and groupware systems
- Human-robot interaction and collaboration
- Ethics and privacy in HCI research and design
Robotics and Automation - research on developing more advanced and efficient robots for various applications, such as manufacturing, healthcare, and transportation, and exploring the ethical and societal implications of robotics.
- Robot kinematics, dynamics, and control
- Machine learning and AI for robot perception and decision-making
- Human-robot collaboration and interaction
- Robot autonomy and learning from demonstration
- Robotics for healthcare and assistive technology
- Soft robotics and biomimetics
- Robot localization and mapping
- Multi-robot systems and swarm robotics
- Autonomous vehicles and intelligent transportation systems
- Industrial automation and robotics
- Robot manipulation and grasping
- Robotic vision and sensing
- Ethics and social implications of robotics and automation
- Robot learning from human feedback
- Robot communication and language
Augmented Reality (AR) and Virtual Reality (VR) - research on developing more immersive and realistic AR and VR systems, exploring the potential applications of AR and VR in various fields, such as education, entertainment, and training, and improving the user experience of AR and VR systems
- AR and VR system design and development
- Interaction techniques and user experience in AR and VR
- 3D modeling and rendering for AR and VR environments
- Tracking and sensing technologies for AR and VR
- Real-time graphics and animation in AR and VR
- Multi-user and collaborative AR and VR environments
- Haptic feedback and tactile interfaces for AR and VR
- AR and VR for education and training
- Applications of AR and VR in healthcare
- AR and VR for entertainment and gaming
- AR and VR for tourism and cultural heritage
- Social and ethical implications of AR and VR
- Perception and cognition in AR and VR
- AR and VR for industrial and manufacturing applications
- AR and VR for advertising and marketing
Data Science and Big Data Analytics (VR) - research on developing more efficient and effective methods for analyzing and processing large and complex data sets, exploring the ethical and societal implications of data analytics, and applying data science techniques in various fields, such as healthcare, finance, and marketing.
- Machine learning algorithms for large scale data analytics
- Deep learning models for image and text classification
- Optimization algorithms for big data processing
- Cloud computing and distributed systems for big data analytics
- Data visualization and interactive data exploration techniques
- Privacy and security issues in big data analytics
- Real-time data analytics for IoT and sensor networks
- Natural Language Processing (NLP) for text mining and sentiment analysis
- Scalable data storage and retrieval mechanisms for big data
- Graph analytics and network analysis for social media and web data
- Big data analytics for financial markets and risk management
- Big data analytics for healthcare and medical imaging
- Predictive analytics and data-driven decision making
- Data integration and data quality management in big data environments
- Human-in-the-loop data analytics and interactive data-driven decision making
Cloud Computing - research on improving the security, scalability, and efficiency of cloud computing systems, exploring the potential applications of cloud computing in various industries, such as e-commerce, gaming, and education, and developing new business models for cloud computing services.
- Cloud resource management and scheduling algorithms
- Cloud computing security and privacy
- Cloud computing performance optimization
- Cloud data management and analysis
- Cloud storage and data retrieval
- Cloud computing for IoT and sensor networks
- Energy-efficient cloud computing
- Cloud computing for mobile devices
- Cloud computing for e-commerce and e-government
- Cloud computing for scientific applications
- Cloud computing for social media and web data
- Cloud computing for disaster recovery and business continuity
- Cloud computing for education and online learning
- Cloud computing for virtualization and containerization
- Cloud computing for AI and machine learning applications
5G and Wireless Communications - research on developing more advanced and efficient wireless communication technologies, improving the coverage and speed of 5G networks, and exploring the potential applications of 5G in various fields, such as autonomous vehicles, smart cities, and remote healthcare.
- 5G network architecture and design
- Radio frequency spectrum management for 5G networks
- Massive MIMO (Multiple Input Multiple Output) and beamforming technologies
- Interference management and coexistence of 5G networks with existing wireless networks
- Edge computing and network slicing in 5G networks
- Cloud-RAN (Radio Access Network) and virtualized network functions in 5G networks
- 5G network security and privacy
- Millimeter wave and terahertz communication for 5G networks
- Hybrid satellite-terrestrial networks for 5G communication
- AI and machine learning for wireless communication optimization
- Network function virtualization (NFV) and software-defined networking (SDN) for 5G networks
- Energy-efficient communication protocols and technologies for 5G networks
- Smart antennas and beam steering techniques for 5G communication
- Internet of Things (IoT) and Machine-to-Machine (M2M) communication over 5G networks
- Use of 5G in autonomous vehicles and drones
Materials Science and Nanotechnology - research on developing new materials and devices at the nanoscale, exploring the potential applications of nanotechnology in various fields, such as energy storage, medicine, and environmental protection, and improving the safety and sustainability of nanotechnology.
- Nanomaterials synthesis and characterization
- Nanoscale fabrication and manufacturing
- Biomaterials and tissue engineering
- Nanoelectronics and nanophotonics
- Energy materials and sustainable technologies
- Graphene and other 2D materials
- Nanocomposites and hybrid materials
- Nanosensors and nanodevices
- Nanomagnetics and spintronics
- Nanomaterials for environmental applications
- Computational materials science and modeling
- Nanotechnology for drug delivery and medical applications
- Nanotoxicology and safety of nanomaterials
- Nanomaterials for water treatment and purification
- Nanotechnology for food and agriculture
Renewable Energy and Sustainable Technologies - research on developing more efficient and cost-effective renewable energy technologies, improving the storage and distribution of renewable energy, and exploring the potential applications of renewable energy in various industries, such as transportation, construction, and agriculture.
- Solar energy: photovoltaic cells, solar thermal energy, and concentrated solar power
- Wind energy: wind turbine technology and wind farm planning and optimization
- Biomass energy: biofuels, biogas, and biomass power generation
- Geothermal energy: geothermal heat pumps, direct-use geothermal, and geothermal power generation
- Hydrogen and fuel cells: fuel cell technology and hydrogen production from renewable sources
- Energy storage: batteries, supercapacitors, and thermal energy storage systems
- Smart grid and energy management: demand-side management, energy storage integration, and grid modernization
- Life cycle assessment and sustainable design of renewable energy systems
- Renewable energy policy and regulations: feed-in tariffs, renewable portfolio standards, and net metering
- Sustainable transportation: electric and hybrid vehicles, biofuels, and sustainable transportation systems
Human-Robot Interaction (HRI) and User Experience Design - research on improving the communication and collaboration between humans and robots, developing new interaction models and interfaces, and exploring the impact of robots on society and culture.
- Robot design and usability: developing intuitive and user-friendly interfaces for robots, including physical and virtual interfaces
- Robot autonomy and decision-making: enabling robots to make intelligent decisions in human environments
- Social and emotional interactions with robots: understanding how people interact with robots emotionally, and developing robots that can recognize and respond appropriately to human emotions
- Robot ethics and morality: exploring ethical considerations in the use of robots, including privacy, trust, and accountability
- Human-robot collaboration and teamwork: investigating how humans and robots can work together effectively, including distributed team scenarios and shared decision-making
- User-centered design approaches for robotics: including ethnography, participatory design, and user testing to improve the usability and acceptability of robots
- Augmented reality and virtual reality in HRI: exploring how AR and VR technologies can enhance human-robot interactions
- Assistive robotics and healthcare: developing robots that can assist with daily activities and healthcare tasks, such as rehabilitation and eldercare
- Education and entertainment robotics: developing robots that can assist in education and entertainment contexts, including language learning, storytelling, and interactive exhibits
- Ethics of automation and the future of work: investigating the social and ethical implications of automation and robotics in the workplace, including the effects on job displacement, skills development, and workforce diversity.
Biomedical engineering and Healthcare Technology - research on developing new medical devices and technologies, exploring the potential applications of engineering principles in medicine, and improving healthcare outcomes.
- Medical imaging: Developing new techniques and technologies for imaging the human body, such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound.
- Drug delivery: Designing new methods for delivering drugs to specific parts of the body, such as nanotechnology-based drug delivery systems.
- Biomaterials: Developing new materials that can be used to create implants, prosthetics, and other medical devices.
- Tissue engineering: Creating living tissues and organs in the laboratory for use in transplantation and other medical procedures.
- Wearable technology: Developing new sensors and devices that can be worn on the body to monitor health and provide real-time feedback.
- Assistive technology: Designing devices to help people with disabilities or chronic conditions, such as prosthetics, hearing aids, and mobility aids.
- Medical robotics: Developing robots that can assist with surgeries, rehabilitation, and other medical procedures.
- Artificial organs: Creating artificial organs that can replace damaged or diseased organs in the body.
- Healthcare analytics: Using data science and machine learning to analyze healthcare data and improve patient outcomes.
- Telemedicine: Developing technologies for remote patient monitoring and virtual consultations.
Quantum Computing and Quantum Information Science - research on developing more powerful and efficient quantum computing systems, exploring the potential applications of quantum computing in various fields, such as cryptography, chemistry, and optimization, and improving the scalability and stability of quantum computing systems.
- Quantum algorithms for optimization and simulation
- Quantum cryptography and secure communication
- Quantum error correction and fault tolerance
- Quantum machine learning and pattern recognition
- Quantum sensing and metrology
- Quantum networking and communication
- Quantum materials and devices
Smart Cities - research on developing more efficient and sustainable urban infrastructures, exploring the potential applications of technology in improving city management, and improving the quality of life for urban residents.
- Smart transportation and mobility systems
- Smart energy systems and sustainable urban development
- Smart water management and waste reduction
- Smart buildings and urban design
- Smart governance and citizen engagement
- Smart health and well-being
- Smart tourism and cultural heritage preservation
- Smart security and safety
- Smart agriculture and food systems
Human-Machine Interface (HMI) - research on improving the interaction between humans and machines, developing new interfaces and interaction models, and exploring the potential applications of HMI in various fields, such as gaming, healthcare, and transportation.
- Interface Design: This involves designing the layout, structure, and functionality of the user interface, including graphics, icons, and navigation.
- Usability Testing: This is a process that involves testing the user interface with representative users to identify usability issues and gather feedback for improvement.
- Human Factors Analysis: This involves analyzing the interaction between humans and machines to identify and address ergonomic issues, including physical discomfort, cognitive load, and user error.
- Virtual and Augmented Reality: These technologies can be used to create immersive and interactive interfaces that allow users to manipulate virtual objects or data in a natural and intuitive way.
- Speech and Gesture Recognition: These technologies enable users to interact with machines using natural language and non-verbal gestures, which can enhance the usability of the interface.
- Brain-Computer Interfaces: These interfaces allow users to control machines using brain signals, which can be used to assist people with disabilities or to enhance human performance in high-stress environments.
- Automotive Interfaces: HMI research in the automotive industry focuses on developing interfaces that provide drivers with the information they need to operate their vehicles safely and efficiently.
- Robotics Interfaces: HMI research in the field of robotics focuses on developing interfaces that allow users to control robots in a natural and intuitive way, including through speech, gestures, and haptic feedback.
- Medical Interfaces: HMI research in the medical field focuses on developing interfaces that allow healthcare providers to interact with medical devices and equipment, as well as interfaces that allow patients to monitor their health and manage their medical conditions.
Natural Language Processing (NLP) - research on developing more advanced and accurate NLP algorithms, improving the usability and accessibility of NLP systems, and exploring the potential applications of NLP in various fields, such as customer service, education, and journalism.
- Text classification and sentiment analysis
- Named entity recognition and entity linking
- Text summarization and generation
- Machine translation and language modeling
- Question answering and dialogue systems
- Language understanding and representation learning
- Semantic parsing and knowledge graphs
- Discourse analysis and co-reference resolution
- Speech recognition and synthesis
- Emotion detection and affective computing
Digital Twin - research on developing digital representations of physical systems, exploring the potential applications of digital twin in various fields, such as manufacturing, construction, and maintenance, and improving the accuracy and reliability of digital twin systems.
- Simulation and modeling techniques
- Sensor and data integration
- Real-time monitoring and control
- Machine learning and predictive analytics
- Digital thread and digital continuity
- Cybersecurity and privacy concerns
- Augmented reality and visualization
- IoT and edge computing
- Virtual commissioning and testing
- Multi-physics and multi-scale modeling
Autonomous Systems - research on developing more advanced and efficient autonomous systems, exploring the potential applications of autonomous systems in various fields, such as transportation, agriculture, and military, and improving the safety and reliability of autonomous systems.
- Control and navigation: This involves developing algorithms and systems that enable autonomous systems to perceive their environment and make decisions based on that information.
- Safety and reliability: Autonomous systems need to be safe and reliable in order to operate in real-world environments. Researchers in this field focus on developing systems that can detect and mitigate potential safety risks.
- Human-robot interaction: Autonomous systems often work in collaboration with humans, so it's important to develop interfaces and communication protocols that enable effective collaboration.
- Ethics and legal issues: As autonomous systems become more advanced, there are important ethical and legal issues that need to be addressed, such as liability for accidents involving autonomous systems and the impact of these systems on employment.
- Multi-robot systems: Researchers in this field focus on developing systems that enable multiple autonomous robots to work together to achieve a common goal. This requires coordination, communication, and cooperation between the robots.
Computational Biology - research on developing more efficient and accurate methods for analyzing biological data, exploring the potential applications of computational biology in various fields, such as drug discovery, personalized medicine, and agriculture, and improving our understanding of biological systems.
- Genomics and transcriptomics: analyzing and interpreting large-scale genomic and transcriptomic data to understand gene expression, regulation, and function.
- Proteomics: analyzing and interpreting large-scale proteomic data to understand protein structure, function, and interactions.
- Structural biology: using computational methods to model and predict the structure and function of biological molecules, such as proteins and nucleic acids.
- Systems biology: studying biological systems as a whole, rather than focusing on individual components, to understand how they function and interact.
- Bioinformatics: developing computational tools and methods for the analysis and interpretation of biological data.
- Drug discovery and design: using computational methods to identify potential drug targets, design new drugs, and optimize drug efficacy and safety.
- Synthetic biology: using computational models to design and engineer new biological systems and organisms with specific functions.
- Evolutionary biology: using computational methods to study the evolution of biological systems and the relationships between different species.
- Medical informatics: using computational methods to improve the diagnosis, treatment, and prevention of diseases.
Additive Manufacturing and 3D Printing - research on developing new materials and technologies for additive manufacturing, exploring the potential applications of 3D printing in various industries, such as aerospace, automotive, and healthcare, and improving the speed and scalability of 3D printing.
- Materials development for AM/3D printing
- Design for AM/3D printing
- Process optimization for AM/3D printing
- Quality control for AM/3D printing
- Applications of AM/3D printing in various industries, such as aerospace, medical, and automotive
- Economic and sustainability aspects of AM/3D printing
- Hybrid manufacturing combining traditional and AM/3D printing techniques
- AM/3D printing of complex geometries and multi-material structures
- Advances in AM/3D printing technology and equipment
- Intellectual property and legal issues surrounding AM/3D printing.
Human-Centered Design - research on designing technology that is more accessible, usable, and intuitive for humans, exploring the potential applications of human-centered design in various fields, such as education, healthcare, and entertainment, and improving the user experience of technology.
- User research and analysis
- Personas and user stories
- Design thinking
- Prototyping and user testing
- Usability testing and evaluation
- Accessibility and inclusivity
- Information architecture and interaction design
- Visual design and branding
- User experience (UX) and user interface (UI) design
- Human factors and ergonomics
Brain-Computer Interfaces (BCIs) - research on developing more advanced and accurate BCIs, exploring the potential applications of BCIs in various fields, such as communication, rehabilitation, and gaming, and improving our understanding of the brain.
- Signal processing techniques for BCIs
- Brain-robot interfaces for motor function restoration
- Neural prosthetics for sensory function restoration
- Non-invasive BCIs for clinical and consumer applications
- Brain-inspired computing and machine learning
- Ethical and societal implications of BCIs
Wearable Technology - research on developing more efficient and user-friendly wearable devices, exploring the potential applications of wearable technology in various fields, such as healthcare, fitness, and fashion, and improving the accuracy and reliability of wearable devices.
- Health and fitness tracking: Wearable devices can monitor various health and fitness metrics, such as heart rate, steps taken, calories burned, and sleep patterns.
- Smart clothing: Clothing items that incorporate sensors and other electronics, allowing for various functions such as biometric monitoring and climate control.
- Augmented reality: Wearable devices that provide an augmented reality experience, such as smart glasses or contact lenses.
- Virtual assistants: Wearable devices that provide voice-activated virtual assistants, allowing users to control their devices hands-free.
- Safety and security: Wearable devices that provide emergency alerts and other safety features, such as GPS tracking and panic buttons.
- Entertainment: Wearable devices that allow for immersive entertainment experiences, such as virtual reality headsets.
- Fashion and design: Wearable devices that are designed to be fashionable and aesthetically pleasing, such as smart jewelry and accessories
Aerospace and Aviation Technology is a field of engineering that focuses on the design, development, testing, and operation of aircraft and spacecraft.
- Aircraft design and aerodynamics
- Spacecraft propulsion and power systems
- Aircraft and spacecraft materials and structures
- Avionics and flight control systems
- Aircraft and spacecraft instrumentation and sensors
- Air traffic management and control systems
- Human factors and cockpit design
- Aircraft and spacecraft performance analysis and optimization
- Space exploration and planetary science
- Aircraft and spacecraft safety and reliability
- Flight simulation and training
- Unmanned aerial vehicles (UAVs) and drones
- Aerospace manufacturing and supply chain management
- Aircraft and spacecraft environmental impact and sustainability
- Hypersonic and supersonic flight.
Environmental Engineering and Sustainable Infrastructure is a field of engineering that involves the design, development, and implementation of systems and processes that minimize negative impacts on the environment and promote sustainable development.
- Sustainable water and wastewater treatment systems
- Green building design and sustainable architecture
- Renewable energy technologies and systems
- Sustainable transportation systems and infrastructure
- Environmental pollution control and management
- Life cycle assessment and sustainable product design
- Climate change mitigation and adaptation strategies
- Sustainable urban planning and design
- Environmental monitoring and assessment
- Sustainable agriculture and food systems
- Circular economy and sustainable resource management
- Environmental health and safety
- Sustainable mining and mineral processing
- Sustainable forestry and land management
- Environmental policy and regulation
Advanced manufacturing and Industry 4.0 - Advanced manufacturing and Industry 4.0 is a field of engineering that involves the integration of advanced technologies, such as automation, robotics, artificial intelligence, and data analytics, into the manufacturing processes to improve efficiency, productivity, and flexibility.
- Digital twin and virtual manufacturing
- Additive manufacturing and 3D printing
- Smart factories and cyber-physical systems
- Intelligent supply chain and logistics
- Predictive maintenance and condition monitoring
- Smart sensors and data analytics in manufacturing
- Collaborative robots and human-robot interaction
- Blockchain and decentralized manufacturing
- Autonomous vehicles and mobile robots
- Augmented reality and virtual reality in manufacturing
- Sustainable and green manufacturing
- Cloud-based manufacturing and services
- Digitalization and automation of quality control
- Human factors in advanced manufacturing
- Resilient and agile manufacturing systems.
Geotechnical Engineering and Earthquake Engineering - Geotechnical Engineering and Earthquake Engineering is a field of engineering that deals with the behavior of the earth materials and their interaction with the structures built on them.
- Soil-structure interaction analysis
- Geotechnical investigation and characterization of soils and rocks
- Earthquake-resistant design of buildings and infrastructure
- Landslide and slope stability analysis and mitigation
- Soil improvement and ground reinforcement techniques
- Geotechnical instrumentation and monitoring
- Seismic hazard analysis and seismic risk assessment
- Foundation engineering and design
- Deep foundation systems and pile design
- Tunnelling and underground structures
- Geosynthetics and reinforced soil structures
- Numerical modeling of geotechnical problems
- Earthquake-induced liquefaction analysis and mitigation
- Dynamic soil-structure interaction analysis
- Geothermal energy systems and ground-source heat pumps
Transportation Engineering and Traffic Management - Transportation Engineering and Traffic Management is a field of engineering that deals with the design, construction, and operation of transportation systems, including roads, highways, bridges, railways, airports, and urban transit systems.
- Traffic flow theory and modeling
- Intelligent transportation systems (ITS)
- Public transportation planning and operations
- Transportation safety analysis and management
- Connected and autonomous vehicles (CAVs)
- Transportation network optimization and modeling
- Freight transportation and logistics
- Transportation energy and environmental impacts
- Transit-oriented development and land use planning
- Pedestrian and bicycle transportation planning
- Transportation system resilience and adaptation to climate change
- Transportation policy and planning
- Transportation data analytics and visualization
- Sustainable transportation systems and practices
- Traffic control and management technologies.
Sponsorship opportunities
Deliver on your marketing objectives with:
Workshop
Connect with sales-ready leads with an interactive session with selected senior-leaders interested in hearing.
Keynote presentation
Gain maximum visibility for your thought-leader and brand with premium positioning on the conference agenda
Product launch
Opportunity to launch new products or services at the conference through a demonstration or a press release.
Panel session
Be seen as a leader in your space with a moderator or panellist slot on one of the panel sessions.
Exhibition
Ensure your brand and solutions are where attendees go to find solutions to their challenges.
Banner advert
Gain maximum brand exposure and clicks back to your website with a banner around the video live stream.
IGSMP INTERNATIONAL
Key Attributes
Speaker
- Connect with right peers
- Discover & Discuss new ideas
- Unique voices, one united goal
- Uniting key decision makers
- Gain Knowledge while sharing
Delegate
- Spark conversations with speakers
- Solutions to your challenges
- Get in-depth knowledge
- Knowledge enriching talks
- Top leader’s Panel discussions
Presentation
- Present in front of global leaders
- Certificate of Appreciation
- Get the answers you need
- Get access to current research
- Participate in debate sessions
Sponsors
- Branding in front of prospects
- Conduct Interactive workshop
- Showcase your solutions
- Achieve business-critical goals
- Kick start the sales cycles
IGSMP INTERNATIONAL
Schedule Plan
09:00 AM
09:15 AM
09:15 AM
Introduction of the Webinar
09:15 AM
10:45 AM
10:45 AM
Keynote Talk 1
10:45 AM
11:15 AM
11:15 AM
Keynote Talk 2
11:15 AM
11:30 AM
11:30 AM
Intermission
11:30 AM
12:00 PM
12:00 PM
Speaker Talk 1
12:00 PM
01:00 PM
01:00 PM
Speaker Talk 2
01:00 PM
01:15 PM
01:15 PM
Intermission
01:15 PM
01:45 PM
01:45 PM
Speaker Talk 3
01:45 PM
02:15 PM
02:15 PM
Speaker Talk 4
02:15 PM
02:30 PM
02:30 PM
Intermission
02:00 PM
03:00 PM
03:00 PM
Speaker Talk 5
03:00 PM
03:30 PM
03:30 PM
Speaker Talk 6
03:30 PM
03:45 PM
03:45 PM
Intermission
03:45 PM
04:15 PM
04:15 PM
Speaker Talk 7/ Poster Presentations
04:15 PM
04:45 PM
04:45 PM
Speaker Talk 8/ Poster Presentations
04:45 PM
05:00 PM
05:00 PM