Hayelom Gebrye | Attack Detection | Best Researcher Award

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Mr. Hayelom Gebrye | Attack Detection | Best Researcher Award

Ph.D. Student at University of Electronic Science and Technology of China, Ethiopia.

Hayelom Muleta Gebrye is a dedicated researcher and educator in the field of computer science, currently pursuing a Ph.D. at UESTC, China. He holds a master’s degree in Information Technology and a bachelor’s degree in the same field, reflecting a robust academic foundation. Hayelom has extensive teaching experience as a lecturer at various universities, where he has delivered courses on programming, data structures, and emerging technologies. His research interests include machine learning, network security, and computer vision, with several publications in reputable journals, including impactful studies on IoT security. Additionally, he has trained youth in digital technologies through NGOs, demonstrating his commitment to community development. Proficient in multiple languages, he excels in communication, enhancing collaboration opportunities. While Hayelom possesses significant strengths, further increasing his publication frequency and pursuing research funding could amplify his impact in the field, making him a promising candidate for the Best Researcher Award.

Profile:

Education

Hayelom Muleta Gebrye has a robust educational background in computer science and information technology. He is currently pursuing a Ph.D. in Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), where he began his studies in September 2019. Prior to this, he earned a Master’s degree in Information Technology from Aksum University, completing his studies in March 2017. His foundational education includes a Bachelor’s degree in Information Technology from Hawassa University, obtained in July 2012. Additionally, he has completed secondary education at Tadagiwa Ethiopia, earning his S.S.S. Certificate. This extensive academic journey demonstrates his commitment to advancing his knowledge and expertise in the field, positioning him as a well-qualified candidate for roles in both academia and industry. Hayelom’s educational achievements reflect his dedication to contributing to the technological landscape through research and teaching.

Professional Experience

Hayelom Muleta Gebrye has a diverse professional background in academia and training. He served as a lecturer at several universities, including Harambee University and Adama Science and Technology University, where he taught courses in programming, information systems, and emerging technologies. His experience also includes part-time lectureships at institutions like Unity University and AASTU, focusing on system simulation and human-computer interaction. Additionally, Hayelom has been involved in capacity building through training initiatives for local NGOs, where he provided training on digital technology and effective social media management. His role as a Data Manager at TZG General Development Research allowed him to lead data collection efforts and maintain high data quality standards. Previously, he held positions at Raya University as an Assistant Registrar and Quality Assurance Coordinator, where he oversaw academic processes and ensured educational quality. His extensive teaching and training experience, coupled with his commitment to enhancing students’ skills, reflect his dedication to the field of education and technology.

Research Interest

Hayelom Muleta Gebrye’s research interests lie at the intersection of advanced computing technologies and their applications in real-world scenarios. He focuses on machine learning, particularly its utilization in deep learning and computer vision to enhance the efficiency and effectiveness of various systems. His work in network security addresses critical challenges such as intrusion detection and protection against cyber threats, particularly in Internet of Things (IoT) networks. Additionally, Hayelom explores the development of expert systems that leverage machine learning techniques to automate complex decision-making processes. His research also involves applying advanced algorithms for data analysis and visualization, aiming to improve data quality and interpretation. Overall, his diverse interests reflect a commitment to addressing contemporary technological challenges, contributing valuable insights to the fields of computer science and information technology. Hayelom’s goal is to innovate solutions that can enhance security and operational efficiency in various applications.

Research Skills

Hayelom Muleta Gebrye possesses a robust set of research skills that underscore his proficiency in computer science and technology. He demonstrates expertise in machine learning and deep learning, enabling him to analyze complex datasets and develop innovative algorithms. His work in computer vision and network security highlights his ability to tackle critical issues in today’s digital landscape, such as intrusion detection and DDoS attack prevention. Proficient in programming languages like Python, C++, and Java, Hayelom effectively implements solutions and conducts data analysis. His experience with database management systems, particularly SQL Server, enhances his capability to organize and manipulate large datasets for research purposes. Additionally, Hayelom is skilled in qualitative and quantitative data analysis, utilizing tools such as Python for visualization and interpretation. His commitment to rigorous research practices, coupled with his technical proficiency, positions him as a valuable contributor to the advancement of knowledge in his field.

Award and Recognition

Hayelom Muleta Gebrye has received notable awards and recognition throughout his academic and professional journey, reflecting his dedication and contributions to the field of computer science and technology. His commitment to excellence in teaching and research is evident through his numerous certifications, including Master Trainer of Trainers from the Ministry of Labor and Skills and a SQL Server 2012 certificate. Hayelom’s research work has garnered attention, with publications in reputable journals such as the International Journal of Machine Learning & Cybernetics, which boasts a significant impact factor of 5.6. Additionally, he has played an integral role in community development through training sessions organized for youth, emphasizing the practical applications of technology in social contexts. His efforts in quality assurance and curriculum development at various universities further underline his contributions to enhancing educational standards in Ethiopia. These achievements highlight Hayelom’s commitment to advancing knowledge and fostering innovation in the field.

Conclusion

Hayelom Muleta Gebrye is a promising candidate for the Best Researcher Award due to his strong academic foundation, diverse teaching and research experience, and significant contributions to critical areas in computer science. While he has several strengths, focusing on increasing his publication frequency, expanding his professional network, seeking research funding, and gaining more mentorship experience will enhance his profile further. With continued dedication and development in these areas, Hayelom can significantly impact the field of computer science and technology, making him a deserving nominee for this award.

Publication Top Notes

  • Computer vision based distributed denial of service attack detection for resource-limited devices
    • Authors: Gebrye, H., Wang, Y., Li, F.
    • Year: 2024
    • Journal: Computers and Electrical Engineering
    • Volume/Page: 120, 109716
  • Traffic data extraction and labeling for machine learning based attack detection in IoT networks
    • Authors: Gebrye, H., Wang, Y., Li, F.
    • Year: 2023
    • Journal: International Journal of Machine Learning and Cybernetics
    • Volume/Issue/Page: 14(7), pp. 2317–2332
  • Deep Reinforcement Learning for Computation Offloading and Resource Allocation in Blockchain-Based Multi-UAV-Enabled Mobile Edge Computing
    • Authors: Mohammed, A., Nahom, H., Tewodros, A., Habtamu, Y., Hayelom, G.
    • Year: 2020
    • Conference: 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
    • Page: pp. 295–299

 

 

Yongzhi Wang | Information Security | Best Scholar Award

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Dr. Yongzhi Wang | Information Security | Best Scholar Award

Assistant Professor of Texas A&M University-Corpus Christi, United States .

Dr. Yongzhi Wang is an accomplished computer scientist and educator with a robust background in cloud computing, cybersecurity, and blockchain technologies. He currently serves as an Assistant Professor at Texas A&M University at Corpus Christi, where he conducts cutting-edge research, teaches computer science courses, and mentors students in academic and research pursuits. Dr. Wang’s academic journey includes significant roles at Park University and Xidian University, where he contributed to research initiatives and academic programs. He holds a Ph.D. and M.S. in Computer Science from Florida International University, with a focus on secure outsourced computing frameworks in cloud environments. Throughout his career, Dr. Wang has received prestigious awards, including the Distinguished Faculty Scholar Award and Best Paper Award, recognizing his exceptional scholarship and research contributions. His research interests encompass cloud computing security, blockchain applications, cybersecurity, and virtualized lab environments for computer education. Dr. Wang’s passion for advancing secure computing technologies and nurturing future computer scientists underscores his leadership and impact in the field of computer science.

Professional Profiles:

Education

Dr. Yongzhi Wang has pursued an extensive academic journey, culminating in advanced degrees in computer science from prestigious institutions. He earned his Doctor of Philosophy (Ph.D.) and Master of Science (M.S.) degrees in Computer Science from Florida International University in Miami, Florida, U.S.A., with a focus on secure outsourced computing frameworks in cloud environments. Dr. Wang also holds a Master of Engineering (M.Eng.) in Computer Science from Xidian University in China and a Bachelor of Engineering (B.Eng.) in Computer Science from the same institution. Throughout his academic career, Dr. Wang demonstrated exceptional academic prowess, reflected in his high academic achievements with a GPA of 3.91 for both his Ph.D. and M.S. degrees. His educational background underscores his expertise in computer science, particularly in areas related to cloud computing, cybersecurity, and advanced technologies. Dr. Wang’s academic foundation has positioned him as a leading researcher and educator in the field of computer science.

Professional Experience

Dr. Yongzhi Wang has amassed a wealth of professional experience across academia, research, and industry, reflecting his deep expertise in computer science and related disciplines. He currently serves as an Assistant Professor at Texas A&M University at Corpus Christi, where he conducts cutting-edge research, teaches computer science courses, and mentors students in academic and research endeavors. Prior to this role, Dr. Wang held positions as an Associate Professor and Assistant Professor at Park University, contributing significantly to research initiatives and academic programs. Before his academic appointments, Dr. Wang served as an Assistant Professor at Xidian University in China, where he conducted research, taught courses, and supervised graduate students. His professional journey also includes roles as a Research Assistant and Teaching Assistant at Florida International University and as a Staff Software Engineer at IBM, where he applied his technical expertise in software development and project management. Dr. Wang’s diverse professional background underscores his leadership, dedication, and impact in advancing computer science education, research, and innovation.

Research Interest

Dr. Yongzhi Wang’s research interests span several critical areas in computer science and related disciplines. His primary focus includes cloud computing and security, where he explores secure computing frameworks and protocols to address data privacy and integrity challenges in cloud environments. Dr. Wang is also engaged in research on blockchain technologies, investigating their applications in enhancing security and transparency across various industries. Another significant aspect of Dr. Wang’s research is cybersecurity, encompassing threat detection, risk management, and intrusion detection systems to safeguard critical infrastructures from cyber threats. He also delves into big data and data privacy, developing techniques for preserving data privacy and ensuring the integrity of sensitive information in large-scale data environments. Moreover, Dr. Wang’s interest extends to virtualized lab environments for computer education, aiming to enhance practical learning experiences and accessibility to computing resources. Through his research, Dr. Wang contributes to advancing secure and efficient computing technologies, addressing contemporary challenges in the digital age.

Award and Honors

Dr. Yongzhi Wang’s exemplary contributions to computer science have been recognized through prestigious awards and honors throughout his career. Notably, his research article was acknowledged as a Trending Article in IEEE Transactions on Computers, reflecting the relevance and impact of his work in the field. He was also honored with the Distinguished Faculty Scholar Award at Park University, recognizing his outstanding scholarship and academic contributions. In addition, Dr. Wang received the Best Paper Award at the 2017 International Conference on Networking and Network Applications for his significant research achievements. His excellence in teaching was acknowledged with a second-place finish in the Faculty Teaching Competition at Xidian University. Furthermore, he was awarded the Dissertation Year Fellowship at Florida International University in recognition of his exceptional doctoral research. These accolades highlight Dr. Wang’s dedication to advancing computer science through innovative research, teaching excellence, and scholarly pursuits, solidifying his reputation as a leader in the field.

Research Skills

Dr. Yongzhi Wang’s distinguished career in computer science has been marked by several prestigious awards and honors that underscore his outstanding contributions to the field. Notably, his research article was recognized as a Trending Article in IEEE Transactions on Computers, demonstrating the impact and relevance of his work within the academic community. Additionally, Dr. Wang received the esteemed Distinguished Faculty Scholar Award at Park University, acknowledging his exceptional scholarship and academic leadership. Further highlighting his research excellence, Dr. Wang was honored with the Best Paper Award at the 2017 International Conference on Networking and Network Applications for his significant contributions to the field. His dedication to teaching was also celebrated with a second-place finish in the Faculty Teaching Competition at Xidian University. Moreover, his exceptional doctoral research was recognized with the Dissertation Year Fellowship at Florida International University. These accolades reflect Dr. Wang’s commitment to advancing computer science through innovative research, teaching excellence, and scholarly achievements, positioning him as a distinguished leader in the field.

Publications

  1. Microthings: A generic IoT architecture for flexible data aggregation and scalable service cooperation
    Authors: Y. Shen, T. Zhang, Y. Wang, H. Wang, X. Jiang
    Year: 2017
    Citations: 76
  2. Viaf: Verification-based integrity assurance framework for MapReduce
    Authors: Y. Wang, J. Wei
    Year: 2011
    Citations: 76
  3. Secure -NN Query on Encrypted Cloud Data with Multiple Keys
    Authors: K. Cheng, L. Wang, Y. Shen, H. Wang, Y. Wang, X. Jiang, H. Zhong
    Year: 2017
    Citations: 71
  4. Special issue on security and privacy in network computing
    Authors: H. Wang, Y. Wang, T. Taleb, X. Jiang
    Year: 2020
    Citations: 69
  5. MTMR: Ensuring MapReduce computation integrity with Merkle tree-based verifications
    Authors: Y. Wang, Y. Shen, H. Wang, J. Cao, X. Jiang
    Year: 2016
    Citations: 46
  6. Result integrity check for MapReduce computation on hybrid clouds
    Authors: Y. Wang, J. Wei, M. Srivatsa
    Year: 2013
    Citations: 30
  7. IntegrityMR: Integrity assurance framework for big data analytics and management applications
    Authors: Y. Wang, J. Wei, M. Srivatsa, Y. Duan, W. Du
    Year: 2013
    Citations: 28
  8. CryptSQLite: SQLite with high data security
    Authors: Y. Wang, Y. Shen, C. Su, J. Ma, L. Liu, X. Dong
    Year: 2019
    Citations: 19
  9. Strongly secure and efficient range queries in cloud databases under multiple keys
    Authors: K. Cheng, Y. Shen, Y. Wang, L. Wang, J. Ma, X. Jiang, C. Su
    Year: 2019
    Citations: 18
  10. Trustworthy service composition with secure data transmission in sensor networks
    Authors: T. Zhang, L. Zheng, Y. Wang, Y. Shen, N. Xi, J. Ma, J. Yong
    Year: 2018
    Citations: 15