Projects

AI-driven digital transformation is when a company's plan for digital transformation includes technologies based on artificial intelligence (AI). AI can play a key role in automating tasks, improving decision-making, and enabling organizations to better serve their customers. AI can be used in a business's customer service, marketing, operations, and supply chain management, among other things. For example, AI can be used to automate repetitive tasks, freeing up employees' time for more strategic work. AI-powered chatbots can help customers quickly and in a way that is unique to them, and machine learning algorithms can look at customer data to create marketing campaigns that are more relevant to them. AI can also be used to improve supply chain processes, like predicting demand and finding places where things don't work as well as they could. https://edu.ieee.org/in-iitkcs/2021/03/26/live-webinar-blockchain-technology-in-digital-transformation-era-08-april-2021/  

Online Video Lecture:  https://ieeetv.ieee.org/scv-cs/impact-of-blockchain-technologies

Machine learning is a powerful tool for understanding and analyzing biomedical data. Biomedical data can include a wide range of information, including genomic data, electronic health records (EHRs), imaging data, and more. Machine learning algorithms can help identify patterns and relationships in this data that would be difficult or impossible for humans to detect, leading to new insights and improved decision-making in the healthcare industry. For example, machine learning can be used to predict disease progression, identify patients at high risk for certain conditions, and develop personalized treatment plans based on a patient's unique characteristics. Machine learning algorithms can also be used to analyze large datasets to identify new drug targets, improve drug discovery, and develop more effective treatments. This course aims to provide a clearer picture of the transformation of cities into smart cities, taking into account various levels of services including primary, secondary, and tertiary in areas such as healthcare systems using machine learning.  https://www.youtube.com/@madhusudansingh1169/videos  [Lecture available on demand]]

Cities built on the basics of interconnected services and infrastructures using state-of-the-art information and communication technologies and electronics to automate services, improve quality of life, increase efficiency of public activities, and provide digital connectivity can be termed "smart cities." The primary objective of smart cities is to connect and integrate every possible service and sector, such as utilities, energy, healthcare, transportation, governance, and security, onto digital platforms. This course, offered with the endorsement of the IEEE Communications Society, aims to provide a clearer picture of the transformation of cities into smart cities, taking into account various levels of services including primary, secondary, and tertiary in areas such as healthcare systems, transportation, energy distribution, and secured data communication based on privacy, safety, security, and trust. 

Courses included in this program:

https://iln.ieee.org/Public/Contentdetails.aspx?id=B3A24E64F11A4A42AF7EEEC236152E82 

• Smart City Technologies: Advancing Healthcare Systems

• Smart City Technologies: History, Social Impact, and Examples

• Smart City Technologies: Transportation Transformation in the Smart City

• Smart City Technologies: Energy Distribution

• Smart City Technologies: Data Privacy and Security

As the auto industry keeps working on making smart and self-driving cars, we need to learn more about how safe and secure this connected technology is. Automotive Cyber Security: Protecting the Vehicular Network is a 5-course program from IEEE that aims to get people talking about cyber security solutions and requirements for not only smart cars, but also the infrastructure of smart transportation systems. This course program looks at cybersecurity problems and how to solve them, as well as how blockchain technology can be used in the automotive industry. It also gives a deep understanding of how to collect, analyze, and make sense of vehicle data, as well as how it will affect security, the economy, and safety.

https://iln.ieee.org/public/contentdetails.aspx?id=32E6B4A27C4C4455B0793FD5518BB42D 

• Evolution of Intelligent and Autonomous Vehicles

• Connected Vehicle Communication

• Securing Intelligent Transportation Systems

• Using Blockchain Technology to Secure Autonomous Vehicles

• Collecting, Analyzing, and Interpreting Vehicular Data

Upon successful completion of this course program, you are eligible to receive a IEEE Automotive Cyber Security digital badge.