5th International Conference on Interdisciplinary Computer Science and Engineering (ICICSE2021)
17-19th August 2021
Virtual Conference

KEYNOTE SPEAKER

KEYNOTE SPEAKER 1


Prof. Dr. Omer F Rana
Cardiff University

Professor of Performance Engineering and previously led the Complex Systems research group. His research interests lie in the overlap between intelligent systems and high performance distributed computing.  He is particularly interested in understanding how intelligent techniques could be used to support resource management in distributed systems, and the use of these techniques in various application areas.

He is the Dean of International for the Physical Sciences and Engineering College.

Title: "AI at the Edge"

Abstract:
Internet of Things (IoT) applications today involve data capture from sensors and devices that are close to the phenomenon being measured, with such data subsequently being transmitted to Cloud data centre for storage, analysis and visualisation. Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Increasing availability of storage and processing devices closer to the data capture device, perhaps over a one-hop network connection or even directly connected to the IoT device itself, requires more efficient allocation of processing across such edge devices and data centres. Supporting machine learning directly on edge devices also enables support for distributed (federated) learning, enabling user devices to be used directly in the inference or learning process. Scalability in this context needs to consider both cloud resources, data distribution and initial processing on edge resources closer to the user. This talk considers whether a data comms. network can be enhanced using edge resources, and whether a combined use of edge, in-network (in-transit) and cloud data centre resources provide an efficient infrastructure for machine learning and AI. The following questions are addressed in this talk:

  • How do we partition machine learning algorithms across Edge-Network-Cloud resources -- based on constraints such as privacy capacity and resilience?
  • Can machine learning algorithms be adapted based on the characteristics of devices on which they are hosted? What does this mean for stability/ convergence vs. performance?
  • Do we trade-off accuracy for “explainability” of results? Given a complex parameter space can “approximations” help with explaining the basis of results?

 

KEYNOTE SPEAKER 2


Prof. Ts. Dr. Zuriati Ahmad Zukarnain
Universiti Putra Malaysia

Professor of Network Security. Her research interests lie in the overlap between Computer Networks and Network Security.  Recently, Prof. Ts. Dr. Zuriati has developed a blockchain-based cashless payment system, known as 'Zchain4U' that could be a solution to secure the online transactions. This new technology is in line with the Industrial Revolution 4.0 as the growing demand for cyptocurrencies such as Bitcoin has attracted many scammers who attempt to defraud users through e-wallet offerings or take advantage of them in other ways. Additionally, unsecured e­wallets can also be easily hacked and blockchain technology can provide better security than that provided for traditional transactions. At the same time, Prof. Ts. Dr. Zuriati has produced a book entitled 'Bitcoin'.

She actively conducts various talks and workshops to educate people on cyber security threats and cyber security awareness in the society. She has been invited to be on broadcast life by TV3, TV9, Bernama TV and Astro Awani, the television broadcast stations in Malaysia. She is particularly interested in understanding on how secured and cryptographic techniques could be used to support the internet of things(IoT), and the use of these techniques in various applications and platforms. She is the deputy dean of School of Graduate Studies UPM.

 

Title: " Embracing IoT with Blockchain Technology”


Abstract:
The internet of things(IoT) is a common operating picture that made possible throughout the several modern day living conditions. The IoT has the ability to connect billions of objects at the same time, which has the effect of improving the need to share information that leads to improve our lives. We are in need of Save Transaction Time in which Time becomes like money in modern technology. Great values count for every minute we lose. We might save time and energy by using IoT. While the benefits of the IoT are unlimited, due to its centralized server/client model, there are many challenges facing adopting the IoT in real time. We can embrace IoT with blockchain technology to overcome this problem. Blockchain technology can resolve IoT gaps and challenges. Decentralization schemes are blockchain technology. It decentralizes processes of computing and management that can solve many IoT problems, particularly security. This talk considers the challenges facing on IoT and how integrating IoT to blockchain may benefits the user. The combination of blockchain and IoT can provide a powerful strategy that can greatly benefit new business models and distributed applications and create a way for them. The following issues are addressed in this talk:

  • How does blockchain works?  Need to understand about blockchain and IoT technology
  • What are the Characteristics of blockchain? How blockchain could be integrated with IoT?
  • What are the benefits and challenges of blockchain technology, and IoT bring to organizations?
  • How the Blockchain technology act as solution for IoT challenges?