Zhengming Jiang | Computer Science | Best Academic Researcher Award

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Dr. Zhengming Jiang | Computer Science | Best Academic Researcher Award

Teacher from Guangdong Polytechnic Normal University, China

Dr. Zhengming Jiang is a dedicated academic and researcher in the field of information and communication engineering, currently serving as a lecturer at the Industrial Training Center, Guangdong Polytechnic Normal University. With over a decade of experience in academia and research, he has established himself as a promising expert in dual-function radar-communication systems, intelligent reflecting surfaces, and physical layer security. Dr. Jiang obtained his Ph.D. and Master’s degrees from Shenzhen University, which shaped his foundational expertise in advanced communication technologies. In recent years, he has gained further prominence through his postdoctoral work at the Shenzhen International Graduate School of Tsinghua University, in collaboration with Guangdong Kekaida Intelligent Robotics Co., Ltd. His scholarly output includes several first-author papers in top-tier journals such as the IEEE Internet of Things Journal and Digital Signal Processing. He has also been awarded and has led numerous national and provincial research grants, showcasing his capacity for high-impact research. Furthermore, Dr. Jiang has made significant contributions to the applied technology sector, as evidenced by his patented innovations in signal processing and communication security. His academic rigor, project leadership, and technical acumen place him among the leading emerging scholars in the field.

Professional Profile

Education

Dr. Zhengming Jiang has pursued a comprehensive academic path in communication engineering, demonstrating consistent dedication to excellence throughout his educational journey. He began his undergraduate studies in 2007 at Shaoyang University, where he obtained a Bachelor’s degree in Communication Engineering in 2011. His strong academic performance and interest in signal systems led him to Shenzhen University, where he pursued a Master’s degree in Communication and Information Systems, graduating in 2014. Motivated by a desire to delve deeper into advanced research, he continued at Shenzhen University to earn his Ph.D. in Information and Communication Engineering from 2017 to 2020. His doctoral research was instrumental in shaping his specialization in dual-function radar-communication systems and signal processing techniques. His academic foundation not only reflects deep theoretical knowledge but also practical application, which he further developed during his postdoctoral fellowship beginning in 2023 at the Tsinghua Shenzhen International Graduate School and Guangdong Kekaida Intelligent Robotics Co., Ltd. This postdoctoral phase has allowed him to engage in high-level collaborative research and contribute to national-level innovations. Dr. Jiang’s educational background showcases a well-rounded and in-depth mastery of his field, equipping him with the skills necessary for high-impact research and academic leadership.

Professional Experience

Dr. Zhengming Jiang has a diverse portfolio of academic and research experience, reflecting his progression from foundational teaching roles to high-level research leadership. His professional journey began in 2014 when he served as a teaching assistant in the Computer Science Department at Guangdong University of Science and Technology. Over the course of three years, he contributed to curriculum delivery and engaged students in the fundamentals of communication systems. In January 2021, he advanced to a lecturer position at the Industrial Training Center of Guangdong Polytechnic Normal University, where he continues to teach and mentor students while spearheading innovative research projects. His academic expertise is matched by his research initiative; he has successfully secured and managed several university- and province-level research grants as principal investigator. Most recently, in November 2023, Dr. Jiang began a prestigious postdoctoral appointment at the Shenzhen International Graduate School of Tsinghua University in conjunction with Guangdong Kekaida Intelligent Robotics Co., Ltd. This dual-institution position has enabled him to engage in interdisciplinary collaboration and contribute to cutting-edge research in intelligent communication technologies. His professional trajectory reflects a balance between teaching, project leadership, and research excellence, positioning him as a versatile academic and technical expert.

Research Interests

Dr. Zhengming Jiang’s research interests are deeply rooted in the development and integration of communication and radar technologies. He focuses on dual-function radar-communication systems, an emerging field that enhances spectrum efficiency by combining communication and sensing capabilities. His work explores the use of intelligent reflecting surfaces (IRS) to optimize signal propagation, minimize interference, and improve system robustness in dynamic environments. Dr. Jiang is particularly interested in the physical layer security of vehicular and automotive systems, addressing the growing need for secure communication in intelligent transportation infrastructure. Additionally, his research covers robust beamforming design, especially in complex or error-prone environments, which is vital for ensuring reliable wireless performance. Another important theme in his work is the integration of communication and sensing in millimeter-wave systems, contributing to the advancement of next-generation wireless networks. His interests align with current global trends in smart mobility, 6G technologies, and secure wireless communication. Dr. Jiang’s research not only addresses theoretical challenges but also emphasizes practical implementation and innovation, which is evident in his industry collaboration and patent filings. His ability to identify emerging needs and apply theoretical insights to real-world applications makes his research highly impactful and forward-thinking.

Research Skills

Dr. Zhengming Jiang possesses a comprehensive and advanced skill set in information and communication engineering, with specialized expertise in dual-function radar-communication systems and intelligent signal processing. He has demonstrated exceptional capability in the design and optimization of intelligent reflecting surfaces (IRS), focusing on enhancing wireless signal strength and quality in complex environments. His proficiency in robust beamforming techniques enables him to manage signal integrity in the presence of interference and modeling errors, a critical skill in modern communication systems. Dr. Jiang is also well-versed in millimeter-wave communications, particularly in scenarios requiring high-frequency data transmission and sensing integration. His ability to simulate and model physical layer systems is complemented by strong coding and algorithm development skills, particularly using MATLAB and Python. Furthermore, he is adept at experimental validation and hardware-software interfacing, which are essential for real-world implementation. His capacity to lead multidisciplinary research projects and collaborate with engineering teams has been proven through his work at Guangdong Kekaida and Tsinghua Shenzhen. Whether it is theoretical modeling, algorithm design, or system prototyping, Dr. Jiang exhibits a rare blend of analytical precision and engineering pragmatism, making him a valuable asset in both academic and applied research environments.

Awards and Honors

Dr. Zhengming Jiang has received recognition for his outstanding contributions to the field of communication systems through both academic and innovation-related achievements. Among his notable accomplishments is his role as the principal investigator and key contributor in several research projects funded by prestigious institutions such as the National Natural Science Foundation of China (NSFC). One of his ongoing research contributions includes participation in a significant NSFC general project valued at 550,000 RMB, focused on the modulation mechanisms of AlGaN-based ultraviolet communication devices. He has also led and completed provincial and university-level research grants totaling over 400,000 RMB, demonstrating his ability to conceptualize and execute high-impact studies. His publication record includes multiple first-author papers in high-impact journals such as IEEE Internet of Things Journal and IEEE Systems Journal, underscoring his leadership in scholarly dissemination. In addition, Dr. Jiang is a named inventor in a Chinese patent related to robust anti-interference navigation technologies, further showcasing his innovative contributions. These accomplishments reflect a strong recognition from both academic peers and industry stakeholders. While formal academic honors or teaching awards were not listed, his record of funded research, scholarly output, and intellectual property firmly positions him as a decorated and respected figure in his field.

Conclusion

In conclusion, Dr. Zhengming Jiang stands out as an accomplished early-career researcher with a clear trajectory toward long-term excellence in the fields of communication and radar systems. His educational and professional journey reflects a strong foundation, advanced specialization, and continuous development through prestigious appointments and collaborations. He has consistently demonstrated leadership in research, as evidenced by his role in major grant-funded projects, first-author publications in internationally reputed journals, and innovation in practical technologies such as anti-interference navigation systems. Dr. Jiang’s work directly aligns with pressing global needs, including secure and intelligent vehicular communications, spectrum efficiency, and next-generation wireless networks. His research is not only theoretically robust but also geared toward real-world applications, making a meaningful contribution to both academia and industry. With further expansion into global collaborations, mentorship roles, and interdisciplinary projects, Dr. Jiang is well-poised to reach even higher levels of academic recognition. Based on his current record, he is a strong candidate for awards recognizing research excellence and innovation. His blend of technical expertise, academic productivity, and real-world impact positions him as a leading researcher worthy of distinction.

Publications Top Notes

1. On the Physical Layer Security of Automotive Dual-Function Radar-Communication Systems

Authors: Zheng-Ming Jiang, Mohamed Rihan, Qijun Deng, Ehab Mahmoud Mohamed, Haitham S. Khallaf, Xiaojun Wang, Rasha Omar
Journal: IEEE Internet of Things Journal
Year: 2024
Volume/Issue: 11(3), Pages 5090–5104

2. Intelligent Reflecting Surface Aided Dual-Function Radar and Communication System

Authors: Zheng-Ming Jiang, Mohamed Rihan, Qiang Li, Lei Huang, Qijun Deng, Jihong Zhang, Ehab Mahmoud Mohamed
Journal: IEEE Systems Journal
Year: 2021
Volume/Issue: 16(1), Pages 475–486
Citations: 113 citations

3. Intelligent Reflecting Surface Aided Co-existing Radar and Communication System

Authors: Zheng-Ming Jiang, Qijun Deng, Min Huang, Zhenxing Zheng, Xiaojun Wang, Mohamed Rihan
Journal: Digital Signal Processing
Year: 2023
Volume: 141

4. Robust Beamforming Design for Co-existing Radar and Communication System with Bounded Error Model

Authors: Qijun Deng, Zhengming Jiang, Senming Zhong, Min Huang, Qiang Li, Mohamed Rihan
Journal: IEICE Transactions on Communications
Year: 2024
Volume/Issue: 12(3)

5. Maximum Likelihood Approach to DoA Estimation Using Lens Antenna Array

Authors: Zheng-Ming Jiang, Peichang Zhang, Mohamed Rihan, Lei Huang, Jihong Zhang
Journal: EURASIP Journal on Wireless Communications and Networking
Year: 2019
Volume: 2019: Article 1

Saurabh Kumar | Computer Science | Best Researcher Award

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Mr. Saurabh Kumar | Computer Science | Best Researcher Award

Shri Ramswaroop Memorial University, India

Saurabh Kumar is a passionate and driven Computer Science Engineering student with a strong focus on Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP). With a deep interest in solving complex real-world challenges, Saurabh has worked extensively on AI-driven projects, including fine-tuning state-of-the-art models, developing computer vision applications, and enhancing NLP systems. His expertise spans multiple domains, including deep learning, speech synthesis, and autonomous systems. Saurabh actively contributes to the tech community through open-source projects and research-driven initiatives. His commitment to continuous learning, innovation, and collaboration sets him apart as a dedicated researcher in AI.

Professional Profile

Education

Saurabh Kumar is currently pursuing a degree in Computer Science Engineering, specializing in Artificial Intelligence and Machine Learning. Throughout his academic journey, he has developed a strong foundation in data science, deep learning, and cloud computing. His coursework includes advanced machine learning algorithms, computer vision, NLP, and big data analysis. In addition to academic learning, he has actively participated in AI-focused bootcamps, hackathons, and online certifications to enhance his technical knowledge. His commitment to education is evident through his consistent efforts to bridge theoretical knowledge with practical applications in AI-driven research.

Professional Experience

Saurabh has gained hands-on experience through various AI-based projects and internships. His work includes developing a Vehicle Classification Model using deep learning and computer vision, creating an advanced Text-to-Speech (TTS) model, and building multiple real-time computer vision applications. Additionally, he has experience working with cloud platforms like IBM Cloud and using tools such as SQL, Tableau, and Docker for AI deployment. His ability to work with cutting-edge AI models and optimize them for real-world use cases highlights his technical acumen. Saurabh’s professional experience reflects a strong ability to innovate, research, and implement AI solutions effectively.

Research Interests

Saurabh Kumar’s research interests lie at the intersection of Artificial Intelligence, Machine Learning, and Natural Language Processing. He is particularly passionate about Conversational AI, Reinforcement Learning, Explainable AI, and Generative AI. His work focuses on optimizing AI models for practical applications, enhancing NLP-based speech synthesis, and improving AI-driven automation. He is also interested in exploring AI ethics, fairness in machine learning, and the development of AI-driven assistive technologies. His continuous learning in AI research methodologies and practical deployment strategies showcases his commitment to pushing the boundaries of AI innovation.

Research Skills

Saurabh possesses a strong set of research skills, including data analysis, deep learning model optimization, and AI-driven problem-solving. He is proficient in Python, PyTorch, TensorFlow, OpenCV, and NLP frameworks such as Hugging Face. His expertise in AI extends to cloud computing, SQL-based data management, and deployment of machine learning models. He has hands-on experience with real-world AI challenges, including speech synthesis, computer vision applications, and text-based AI solutions. His ability to develop, fine-tune, and deploy AI models efficiently highlights his strong research-oriented approach.

Awards and Honors

Saurabh Kumar has been recognized for his contributions to AI and research. He has successfully completed the OpenCV Bootcamp, demonstrating expertise in Computer Vision and Deep Learning. His AI-driven projects have received recognition within the tech community, and his work in fine-tuning AI models has been acknowledged on various platforms. His commitment to advancing AI research is evident through his achievements in open-source contributions and AI development. These accolades showcase his dedication to continuous learning and impactful research in Artificial Intelligence.

Conclusion

Saurabh Kumar is a dedicated AI researcher and technology enthusiast committed to innovation, research, and problem-solving. His expertise in Artificial Intelligence, Machine Learning, and NLP, combined with his passion for AI-driven solutions, makes him a strong candidate for the Best Researcher Award. His extensive work in AI model development, contributions to open-source projects, and commitment to continuous learning set him apart as a future leader in AI research. By further expanding his research publications and collaborative efforts, he is well-positioned to make significant contributions to the field of AI.

Publications Top Notes

  1. Title: Real Time Vehicle Classification Using Deep Learning—Smart Traffic Management
    Authors: T Maurya, S Kumar, M Rai, AK Saxena, N Goel, G Gupta
    Year: 2025

 

Sina Ahmadi | Computer Science | Excellence in Research

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Mr. Sina Ahmadi | Computer Science | Excellence in Research

Scholar at National Coalition of Independent Scholars (NCIS), Canada

Sina Ahmadi is an accomplished management professional with significant experience in cloud infrastructure, software engineering, security optimization, and networking. His extensive career has seen him working in prominent positions, managing complex projects and teams. He is recognized for his ability to design and manage Kubernetes clusters, cloud networking, and optimize service meshes such as Istio for global applications. Sina is known for his strategic vision in aligning technical solutions with business goals, consistently delivering results that exceed client expectations. His work spans across multiple global organizations, including Block, ME Bank, and MYOB, where he played key roles in cloud infrastructure, networking, and security solutions. Sina’s deep technical expertise is matched by his leadership abilities, having mentored teams, facilitated technical discussions, and driven innovative projects that have had a measurable impact on business outcomes. His contributions also extend to the academic sphere, where he regularly contributes as a peer reviewer and has published several influential papers on topics such as cloud security, AI in security, and network defense. With numerous awards, accolades, and professional affiliations, Sina continues to be a thought leader in his field.

Professional Profile

Education:

Sina Ahmadi holds a Master’s degree in Information Technology from the University of Melbourne (2015–2017), where he earned a place on the Dean’s Honors List, showcasing his academic excellence. His undergraduate studies in Computer Science (B.Sc.) were completed at the University of Mazandaran (2005–2010), forming the foundation of his technical expertise. During his time at the University of Melbourne, Sina’s academic focus honed his skills in cloud computing, networking, and security, which would later define his professional career. His education provided him with both a theoretical understanding and practical skills, enabling him to address complex technical challenges in the field of IT infrastructure, cloud architecture, and security. Sina has consistently sought to build on his academic credentials through ongoing professional development, as evidenced by his memberships in leading organizations such as IEEE, ACM, and ACS. These affiliations not only reflect his commitment to staying at the forefront of technological advancements but also contribute to his continuous learning and research in the field. Sina’s educational background, coupled with his professional experience, has empowered him to make significant contributions to cloud security and infrastructure engineering.

Professional Experience:

Sina Ahmadi’s professional journey spans a diverse range of roles in the tech industry, showcasing his ability to lead teams and deliver innovative solutions across various domains such as cloud infrastructure, networking, and security. Currently, as a Senior Staff Engineer at Block, he oversees the global platform and networking infrastructure on AWS, setting the platform’s vision and roadmap to align with business goals. He has played pivotal roles in managing cloud platforms for global companies like Afterpay and Square, where he was responsible for ensuring the seamless operation of network infrastructure and traffic management. Prior to this, as Platform Lead for Infra & Edge Networking at Block, Sina successfully delivered solutions for global app connectivity and edge networking. His experience at ME Bank further solidified his leadership abilities, where he designed and implemented security and network solutions while managing cloud teams. In his earlier roles at MYOB and Rundl, Sina honed his expertise in Kubernetes management, security, and cloud architecture, consistently optimizing system performance and security. His diverse career has allowed him to manage large-scale projects and lead teams that have shaped the digital transformation of major organizations.

Research Interests:

Sina Ahmadi’s research interests primarily lie in the intersection of cloud computing, network security, and artificial intelligence. His focus is on optimizing security measures in cloud environments, particularly in multi-cloud and hybrid cloud infrastructures. He is deeply engaged in exploring innovative solutions for Distributed Denial of Service (DDoS) attack prevention, network intrusion detection, and the application of zero-trust architectures in cloud networks. Sina is also interested in the role of AI and machine learning in enhancing cloud security, specifically in developing next-generation firewalls and intrusion detection systems. His work delves into edge computing security, examining how emerging technologies like edge networks impact the overall security and privacy of cloud infrastructures. In addition to his interest in security, Sina is also passionate about cloud networking, including the implementation of complex service meshes like Istio and Envoy to improve scalability, reliability, and performance in cloud-based applications. His research interests aim to solve critical challenges faced by organizations in securing their cloud and network environments while ensuring seamless and efficient connectivity across distributed platforms.

Research Skills:

Sina Ahmadi possesses a comprehensive set of research skills, with a strong foundation in both theoretical and applied aspects of cloud computing, networking, and security. His proficiency in cloud platforms like AWS, combined with his expertise in Kubernetes and Istio, allows him to tackle complex research challenges in infrastructure optimization and network security. Sina has honed his ability to conduct in-depth research on cloud security, from designing secure cloud architectures to investigating novel solutions for mitigating security threats in cloud environments. He excels in analyzing large datasets, drawing meaningful insights, and applying these insights to solve practical industry problems. His extensive experience as a peer reviewer for journals like IEEE Access and SN Computer Science highlights his analytical skills and ability to assess and critique cutting-edge research in his field. Sina’s research skills are complemented by his hands-on experience in managing multi-region cloud infrastructures, implementing security controls, and developing automation processes for enhanced productivity. His expertise in AI-based security systems and network intrusion detection algorithms further reinforces his capabilities in advanced research areas within cloud and network security.

Awards and Honors:

Sina Ahmadi has received numerous awards and accolades for his exceptional contributions to cloud computing and security. One of his notable recognitions is the “Keep ME Secure” award from ME Bank, acknowledging his outstanding achievement in security. His academic excellence at the University of Melbourne earned him a place on the Dean’s Honors List, further demonstrating his commitment to high standards in both education and professional practice. Additionally, Sina’s role as a reviewer for prestigious journals like IEEE Access and SN Computer Science highlights his standing as a respected thought leader in his field. His continuous contributions to the advancement of cloud security and infrastructure engineering have been instrumental in shaping industry standards, and his work has been widely recognized by both academic and professional communities. These accolades not only reflect his technical expertise but also his leadership in driving innovation in cloud infrastructure, networking, and security.

Conclusion:

Sina Ahmadi is an exemplary professional and researcher whose contributions to the fields of cloud infrastructure, networking, and security have had a significant impact on the industry. His leadership in managing global platforms for major organizations such as Block and ME Bank, combined with his research on cloud security and network defense strategies, showcases his ability to bridge the gap between theory and practice. Sina’s academic background, coupled with his extensive professional experience, positions him as a thought leader in the tech community. His work in optimizing cloud and Kubernetes infrastructures, along with his research on AI-based security systems, contributes to the evolving landscape of cloud technologies. His dedication to continuous learning, mentoring, and collaboration has earned him numerous awards and professional recognitions, affirming his status as an influential figure in cloud computing and network security. As he continues to expand his research and professional contributions, Sina is poised to further shape the future of secure and scalable cloud environments.

Publications Top Notes

  1. Title: A Comprehensive Study on Integration of Big Data and AI in Financial Industry and its Effect on Present and Future Opportunities
    Author: S Ahmadi
    Year: 2024
    Citations: 70
    Journal: International Journal of Current Science Research and Review 7 (1), 66-74
  2. Title: Open AI and its Impact on Fraud Detection in Financial Industry
    Author: S Ahmadi
    Year: 2023
    Citations: 63
    Journal: Journal of Knowledge Learning and Science Technology ISSN, 2959-6386
  3. Title: Optimizing Data Warehousing Performance Through Machine Learning Algorithms in the Cloud
    Author: S Ahmadi
    Year: 2023
    Citations: 48
    Journal: International Journal of Science and Research (IJSR) 12 (12), 1859-1867
  4. Title: Elastic Data Warehousing: Adapting To Fluctuating Workloads With Cloud-Native Technologies
    Author: S Ahmadi
    Year: 2023
    Citations: 40
    Journal: Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)
  5. Title: Next Generation AI-Based Firewalls: A Comparative Study
    Author: S Ahmadi
    Year: 2023
    Citations: 37
    Journal: International Journal of Computer (IJC) 49 (1), 245-262
  6. Title: Zero trust architecture in cloud networks: application, challenges and future opportunities
    Author: S Ahmadi
    Year: 2024
    Citations: 27
    Journal: Journal of Engineering Research and Reports 26 (2), 215-228
  7. Title: Challenges and Solutions in Network Security for Serverless Computing
    Author: S Ahmadi
    Year: 2024
    Citations: 26
    Journal: International Journal of Current Science Research and Review 7 (1), 218-229
  8. Title: Security Implications of Edge Computing in Cloud Networks
    Author: S Ahmadi
    Year: 2024
    Citations: 19
    Journal: Journal of Computer and Communications 12, 26-46
  9. Title: Security And Privacy Challenges in Cloud-Based Data Warehousing: A Comprehensive Review
    Author: S Ahmadi
    Year: 2023
    Citations: 18
    Journal: Journal of Computer Science Trends and Technology 11 (6), 17-27
  10. Title: Cloud Security Metrics and Measurement
    Author: S Ahmadi
    Year: 2023
    Citations: 15
    Journal: Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)

 

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