Chien-Hua Tsai – Information Security -Best Researcher Award

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Prof. Dr. Chien-Hua Tsai – Information Security -Best Researcher Award

Chien – Hua Tsai  distinguished academic and researcher in the field Information System.

🌐 Professional Profile

Educations📚📚📚

He is currently a Full Professor in the Department of Accounting Information at Chihlee University of Technology, Taiwan. He earned his Ph.D. in Electrical Engineering and Computer Science from Case Western Reserve University, Ohio, USA in 2000. In 2007, he obtained a professional certificate in Information Security, specifically Certified Ethical Hacker (CEH), from EC-Council (membership ID ECC921640). He offers extensive consulting services on network management practices and has engaged with numerous clients in this capacity.

Journals Published 

Blockchain: Research and Applications, Annals of Operations Research, Information Systems and e-Business Management, The International Arab Journal of Information Technology, Security and Communication Networks, Computers and Electrical Engineering, KSII Transactions on Internet and Information Systems, Journal of Internet Technology

Areas of Research:

Prof. Tsai’s research interests include Information SystemsSecurity, Secure Communication Protocols, Public Key Cryptosystems,Electronic Transaction Security in Computer and Network Security, and Blockchain Technology Applications in Businesses

📝🔬Publications📝🔬

  • A Secure and Efficient Blockchain-Powered Scheme for e-Invoicing Application

    Blockchain: Research and Applications
    2024-07 | Journal article
    DOI: 10.1016/j.bcra.2024.100219
    CONTRIBUTORS: Hsiu-Li Lee; Chien-Hua Tsai

  • Supply chain financing scheme based on blockchain technology from a business application perspective

    Annals of Operations Research
    2023-01 | Journal article
    DOI: 10.1007/s10479-022-05033-3
    CONTRIBUTORS: Chien-Hua Tsai

  • A Robust Secure Self-Certified Concurrent Signature Scheme from Bilinear Pairings

    The International Arab Journal of Information Technology
    2021 | Journal article
    DOI: 10.34028/18/4/6
    Part ofISSN: 2309-4524
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

  • The application of multi-server authentication scheme in internet banking transaction environments

    Information Systems and e-Business Management
    2021-03-13 | Journal article
    DOI: 10.1007/s10257-020-00481-5
    CONTRIBUTORS: Chien-Hua Tsai; Pin-Chang Su

Hung Cao – Cybersecurity- Best Researcher Award

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Hung Cao – Cybersecurity- Best Researcher Award

Dr. Hung Cao  distinguished academic and researcher in the field Cybersecurity. He has extensive teaching and professional experience in the field of finance. At the University of Memphis, he served as a teaching assistant for various courses including Financial Management, Risk Management, Commercial Banking, and Quantitative Finance Application. Prior to this, he contributed to the academic community as an instructor at the National Economics University. Here, he taught courses such as The Economics of Money, Banking, and Finance, as well as Commercial Banking Management, both in-person and online, as part of a joint program with the University of West England. Before transitioning to academia, he gained practical experience as a Credit Risk Analyst at the Bank for Foreign Trade of Vietnam from 2007 to 2009. His combined background in teaching and professional finance roles provides him with a well-rounded perspective in both academia and industry.

🌐 Professional Profiles

Educations📚📚📚

He is currently pursuing his PhD in Finance at the University of Memphis, with an expected completion date in Spring 2024. Prior to this, he earned his MSc in Business Administration from the same institution in 2020. His educational journey also includes an MSc in Finance and Accounting from the University of Northampton, United Kingdom, obtained in 2010. He laid the foundation for his academic pursuits with a BA in Banking and Finance from the National Economics University in Viet Nam, achieved in 2007.

Working papers

He collaborated with Jeff Black and Pankaj Jain on a study investigating the relationship between institutional trading behavior and psychological barriers associated with stock price highs. Their research revealed intriguing insights, indicating a positive correlation between institutional trading activity and the proximity of stock prices to their 52-week highs. Conversely, when stock prices approached historical highs, a negative correlation with institutional trading was observed. Through careful analysis, they demonstrated that institutional trading behavior around these high price levels could serve as a strong predictor of future stock returns. These findings underscore the role of institutional investors in leveraging behavioral biases of other market participants, potentially influencing investment decisions and market dynamics.

Award

He has been recognized for his academic achievements with several prestigious honors and awards. These include receiving the University of Memphis Graduate Assistantship in 2016, highlighting his dedication to academic excellence and research. Additionally, he was awarded the Vietnam International Education Development (VIED) Fellowship in 2015, a testament to his scholarly contributions and potential. His pursuit of higher education has been supported by a Master Scholarship at the University of Northampton, granted to him in 2009. Furthermore, his outstanding performance as a student was acknowledged when he was ranked among the top 10% of students at the National Economics University in Vietnam in 2003, underscoring his consistent commitment to excellence throughout his academic journey.

📝🔬Publications📝🔬

Zubaida Rehman- IoT security – Best Researcher Award

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Zubaida Rehman- IoT security

Dr.   Zubaida  Rehman distinguished academic and researcher in the field IoT security. The focal point of her research was to enhance energy production while minimizing wake effects, a challenge that she addressed effectively through the application of Genetic Algorithms. This comprehensive study not only deepened her understanding of cutting-edge technologies in the field but also contributed to the ongoing discourse surrounding sustainable energy solutions.

Education

From 2012 to 2015, she pursued her Master of Computer Science at the National University of Computer and Emerging Sciences in Islamabad, Pakistan. Throughout this academic journey, she specialized in various domains such as Computational Intelligence, Advanced Databases, Cloud Computing, and Evolutionary Computation. The culmination of her academic endeavors was manifested in her research thesis, where she delved into the intricate realm of the Wind Turbine Layout Optimization Problem. Employing the innovative approach of Genetic Algorithms, she endeavored to optimize the layout design by incorporating diverse turbine sizes.

Professional Profiles:

Research Interest
With a diverse set of technical skills and a keen interest in cutting-edge research, she has a strong foundation in data science, encompassing data analysis and business analytics. Her expertise extends to areas such as cybersecurity, Internet of Things (IoT), and machine learning. Adept in computational intelligence, she excels in addressing real-world optimization problems with a focus on cost-effective and efficient analyses. Her proficiency in big data management within cloud environments is demonstrated through her work on effective scheduling for incoming data stream processing.
Work Experience
Her professional journey includes roles as a Software Engineer at KN Technologies Islamabad (Part Time) from January 2016 to December 2016, where she contributed to projects developed in C, C#, and PHP, demonstrating her skills in project planning and execution. As a Software Developer at Technology Architect Islamabad from January 2014 to December 2015, she engaged in the design and testing of ongoing projects, particularly focusing on Infinite-Space Shortest Path Problems and Semicontractive Dynamic Programming.
In the academic realm, she has made notable contributions with research papers published in renowned conferences such as IEEE Conference on Cloud Computing and Big Data Analysis 2016. Her survey paper on “Survey on Branch Prediction Techniques” was published in RJIIT 2017. She has further showcased her research acumen through term papers and reviews, including topics like the automatic design of multi-objective ant colony optimization algorithms, emerging trends in cloud computing, imperfect distributed learning in traffic light control, and a survey paper on the Rapid Multi-Agent Development Toolkit. Through her extensive academic and professional background, she continues to be a valuable asset in the intersection of technology, research, and software development.
Publication