1. Technical aspects of blockchain and IoT Hany F. Atlam and Gary B. Wills 2. Integrated platforms for blockchain enablement Md Sadek Ferdous, Kamanashis Biswas, Mohammad Jabed Morshed Chowdhury, Niaz Chowdhury and Vallipuram Muthukkumarasamy 3. Intersections between IoT and distributed ledger Hany F. Atlam and Gary B. Wills 4. Blockchain technology for decentralized autonomous organizations Madhusudan Singh and Shiho Kim 5. Blockchain applications in healthcare and the opportunities and the advancements due to the new information technology framework Ramzi Abujamra and David Randall 6. Testing at scale of IoT blockchain applications Michael A. Walker, Douglas C. Schmidt and Abhishek Dubey 7. Consensus mechanisms and information security technologies Peng Zhang, Douglas C. Schmidt, Jules White and Abhishek Dubey 8. A blockchain based access control framework for the security and privacy of IoT with strong anonymity unlinkability and intractability guarantees Aafaf Ouaddah 9. Blockchain with IOT: Applications and use cases for a new paradigm of supply chain driving efficiency and cost Arnab Banerjee 10. Integration of IoT with blockchain and homomorphic encryption: Challenging issues and opportunities Rakesh Shrestha and Shiho Kim
Shiho Kim is a professor in the school of integrated technology at Yonsei University, Seoul, Korea. His previous assignment includes, System on chip design engineer, at LG Semicon Ltd. (currently SK Hynix), Korea, Seoul [1995-1996], Director of RAVERS (Research center for Advanced Hybrid Electric Vehicle Energy Recovery System, a government-supported IT research center. Associate Director of the ICT consilience program, which is a Korea National program for cultivating talented engineers in the field of information and communication Technology, Korea [2011-2012], Director of Seamless Transportation Lab, at Yonsei university, Korea [since 2011-]. His main research interest includes Development of software and hardware technologies for intelligent vehicles, Blockchain technology for intelligent transportation systems, and reinforcement learning for autonomous vehicles. He is the member of the editorial board and reviewer for various Journals and International conferences. So far he has organized 2 International Conference as Technical Chair/General Chair. He is a member of IEIE (Institute of Electronics and Information Engineers of Korea), KSAE (Korean Society of Automotive Engineers), vice president of KINGC (Korean Institute of Next Generation Computing), and a senior member of IEEE. He is the co-author for over 100 papers and holding more than 50 patents in the area of information and communication technology.
Ganesh Chandra Deka is currently Deputy Director (Training) at Directorate General of Training, Ministry of Skill Development and Entrepreneurship, Government of India, New Delhi-110001, India. His research interests include e-Governance, Big Data Analytics, NoSQL Databases and Vocational Education and Training.
He has 2 books on Cloud Computing published by LAP Lambert, Germany. He is the Co-author for 4 text books on Fundamentals of Computer Science (3 books published by Moni Manik Prakashan, Guwahati, Assam, India and 1 IGI Global, USA). As of now he has edited 14 books (6 IGI Global, USA, 5 CRC Press, USA, 2 Elsevier & 1 Springer) on Big data, NoSQL and Cloud Computing and authored 10 Book Chapters.
He has published around 47 research papers in various IEEE conferences. He has organized 08 IEEE International Conferences as Technical Chair in India. He is the Member of the editorial board and reviewer for various Journals and International conferences. Member of IEEE, the Institution of Electronics and Telecommunication Engineers, India and Associate Member, the Institution of Engineers, India
Peng Zhang is a Computer Science PhD candidate at Vanderbilt University, Nashville, TN, USA. She is a recipient of the Harold Stirling Vanderbilt Graduate Scholarship (very competitive). Her research has focused on model-drive design for engineering and health IT systems, combining IoT approaches with machine learning techniques to extract clinical insights from everyday devices and sensors, decentralized algorithms and protocols for facilitating and securing clinical communications, architecting Blockchain-based designs aimed to solve pressing healthcare challenges, and creating rapid prototypes to conduct empirical studies and analyses.
She is also a Blockchain enthusiast and has been a consultant on various Blockchain related student projects at Vanderbilt, including healthcare-specific and supply risk management projects. Within the last two years, she has interned as a lead engineering researcher at three companies within the healthcare sector to experiment with machine learning and Blockchain solutions for healthcare.