Projects

• Title: 

  • Using Internet of Things and Machine Learning in Modeling a Smart Factory in Context of Industry 4.0

• Role: 

  • Co-Principal Investigator (PI:  Prof. Rodrigo Rosa Righi, Unisinos University, Brazil & Dr. Dhananjay Singh, HUFS, South Korea) 

• Period: 

  • 01.12.2018 ~31.07.2022 

• Fund Supported: 

  • R$ 6,167,610.08 /4Yrs.   

• Funding Organization: 

  • CAPES, Ministry of Science & Technology and Education Ministry, Brazil

• Abstract:

  • The project aims to work in the context of the fourth industrial revolution, or Industry 4.0, which consists of a natural evolution involving aspects of production, relating new communication resources, data processing and approaches to manufacturing, expanding the possibilities of increasing industrial productivity, management of resources and performance of the firm, with broad positive impacts in several areas. This process is allowing new software and artificial intelligence resources to be continuously associated with platforms and production systems, using advances in the area of microelectronics, computing, and data communication, generating the conditions for automation of prediction, monitoring, and planning, thus optimizing production. 

• IEEE Subject Matter Expert Project

  • Title: 

    • Smart Cities: Digital Transformation of Cities 

  • Co-Ordinator (PIs): 

    • Dr.  Madhusudan Singh, WSU, South Korea and Dr. Dhananjay Singh, HUFS, South Korea

  • Period: 

    • 01.01.2022 ~ 30.06.2022

  • Fund Supported: 

    • $ 13,000 

  • Funding Organization: 

    • IEEE Communication Society, USA

  • Abstract: 

    • Smart cities are becoming smarter because of the current development of the technology world. Smart cities are providing efficient secure peer to peer networks in a huge data world in those generated in different use cases such as Commodity Ecology Society, Decentralized organizations, healthcare data, Transportation environment. Smart city technologies are encouraging the digital transformation to available everything and also the person can access things data digitally. Therefore, the Internet of Things (IoT) is playing a great role in making cities smarter. This course aims to provide a comprehensive overview of the use of smart city technologies and their application status, challenges future research areas. This course will provide an in-depth analysis of the development of Smart cities and application overview, implementation, and challenges with future perspective research scope.

  • Upon completion of this course program, technical professionals will understand:

    • The most important aspects of the Digital Transformation of the Smart City.

    • The implementation process of Secure Intelligent Transportation Systems.

    • The analysis and interpretation process of Smart City service data on Smart city technologies.

Previous Projects

• Project Title: 

  • Data Science General Education Curriculum Design Project

• Project Co-ordinators (PIs): 

  • Dr.  Madhusudan Singh, WSU, South Korea 

• Project Period: 

  • 01.03.2019 ~ 30.06.2019

•  Fund Supported: 

  • ₩ 5,000, 000 

• Funding Organization: 

  • Ministry of Science & Technology Department and Education Ministry, Korea Government, Korea

    • Data science teaches students how to bridge the gap between technology and student interest fields by using analytics to make informed business decisions for a particular field. This project emphasizes the development of students for interdisciplinary data science education including certificates, minors, and/or majors in analytics. Inside Higher Ed, Forbes, and PwC note high demand for graduates who have skills obtained through analytics programs. Corporate recruiters have also noted the need for students to have more in-depth knowledge and skills in business analytics. 

• Title:

  • Blockchain enables Secure Autonomous Vehicles

• Co-ordinators (PIs): 

  • Senior Researcher (PI: Prof. Shiho Kim, Yonsei, University, South Korea

• Period:

  • 01.01.2017 ~ 31.12.2017  

• Fund Supported:

  • ₩ 50,000, 000 

• Funding Organization:

  • Ministry of Science & Technology Department and Education Ministry, Korea Government, Korea

• Abstract:

  • An intelligent vehicle (IV) is an internet-enabled vehicle, commonly called a self-driving car, enabling vehicles-to-everything communications. This communication environment is not secure and has several vulnerabilities. The significant issues in IV communication are trustworthiness, accuracy, and security of received and broadcasted data in the communication channel. In this article, we introduce blockchain technology to build trust and reliability in peer-to-peer networks with topologies similar to IV communication. Further, we propose a blockchain-technology-enabled IV communication use case. Blockchain technology is used to build a secure, trusted environment for IV communication. This trusted environment provides a secure, distributed, and decentralized mechanism for communication between IVs, without sharing their personal information in the intelligent transportation system. 

• IEEE Subject Matter Expert Project

  • Title:

    • Automotive Cyber Security: Protecting the Vehicular Network 

  • Co-Ordinator (PIs):

    • Dr.  Madhusudan Singh, WSU, South Korea, Dr. Dhananjay Singh, HUFS, South Korea & Irish Singh, Ajou University, South Korea

  • Period:

    • 01.01.2020 ~ 30.06.2020

  • Fund Supported:

    • $ 10,000 

  • Funding Organization:

    • IEEE Computer Society, USA

  • Abstract:

    • As the automotive industry continues to work on intelligent and autonomous vehicles, there is a need to better comprehend the safety and security of this connected technology. The IEEE five-course program, Automotive Cyber Security: Protecting the Vehicular Network, aims to foster the discussion on automotive cyber security solutions and requirements for not only intelligent vehicles but also the infrastructure of intelligent transportation systems. This course program investigates cyber security issues and solutions as well as how blockchain technology applies to automotive applications. It also provides in-depth knowledge of collecting, analyzing, and interpreting vehicular data and its impact on security, the economy, and safety into the future.