Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

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Assoc. Prof. Dr. Waleed Almuseelem | Information Security | Best Researcher Award

University of Tabuk, Saudi Arabia

Dr. Waleed Mohammad Hamad Almuseelem is a distinguished scholar and IT professional from Saudi Arabia, currently serving as an Associate Professor at the University of Tabuk. With a deep-rooted passion for information security, cloud computing, and cybersecurity, he seamlessly blends theoretical knowledge with practical applications. Fluent in Arabic, English, and Chinese, he is committed to advancing digital transformation and cybersecurity solutions. His entrepreneurial mindset and technical expertise contribute to both academia and industry, fostering innovation in IT and computer science. 🌍💻

Publication Profile

🎓 Academic Background

Dr. Almuseelem earned his Ph.D. in Computer Science and Technology with a specialization in Information Security from Wuhan University of Technology, China, in 2017, achieving an “Excellent” evaluation. His dissertation focused on enhancing data security and user privacy in cloud computing. Prior to this, he completed a Master’s in Computer Science and Technology from the same university in 2012, working on secure frameworks for Java smart cards. His academic journey began with a Bachelor’s in Computer Technical Engineering from Riyadh College of Technology in 2007. 📚🎓

💼 Professional Experience

With over 15 years of experience, Dr. Almuseelem has played significant roles in academia and industry. Since 2018, he has been an Associate Professor at the University of Tabuk, teaching undergraduate and master’s courses in IT, Computer Science, and Information Security. He also holds leadership roles, including Chairman of the Supervisory Committee for Foreign Languages and Member of the Quality and Academic Accreditation Committee. Previously, he worked with STC as a systems administrator and served in the Royal Saudi Air Defense Forces as a network administrator and technical support specialist. His expertise spans cloud security, Linux administration, and IT governance. 🏢💡

🏆 Awards and Honors

Dr. Almuseelem has received notable recognitions, including the Best Graduation Dissertation Award in Information Security from Wuhan University of Technology in 2012. His contributions to research and academia are acknowledged in numerous international conferences and workshops, where he shares insights on cybersecurity and open-source technologies. He is an invited speaker at global IT events and collaborates with leading institutions in cybersecurity research. 🏅🌟

🔬 Research Focus

Dr. Almuseelem’s research is centered on cloud security, intrusion detection, zero-trust architectures, and edge computing. He has contributed innovative solutions to data privacy, lightweight authentication, and IoT security. His work integrates AI and cybersecurity to tackle modern challenges in cloud and edge computing environments. Through national and international projects, he aims to develop robust security frameworks for healthcare 4.0, industrial IoT, and enterprise networks. His research is widely cited, influencing global cybersecurity standards. 🔍🛡️

🔗 Top Publications

Intrusion Detection Systems in Cloud Environment – Mastering Intrusion Detection for Cybersecurity, IntechOpen, 2025.

A Novel Fuzzing for RPL Network Vulnerability Analysis and Vision Transformer-based Attack Detection for IIoT – Journal of Harbin Engineering University, 2024.

Continuous and Mutual Lightweight Authentication for Zero-Trust Architecture-Based Security Framework in Cloud-Edge Computing-Based Healthcare 4.0 – Journal of Theoretical and Applied Information Technology, 2023.

Joint Devices Energy and Data Security for Task Offloading in Multi-Tier Edge-Cloud Computing Systems – IEEE Access, 2023.

Data Privacy and Security Model in Cloud Environment – International Conference on Computing and Information Technology (ICCIT), 2023.

User Privacy and Security in Cloud Computing – International Journal of Security and Its Applications, 2016.

Evaluation of Data Security and Privacy Faults in Cloud Computing – EDCAV Conference, 2016.

Data Security and Privacy in Cloud Computing – Advanced Materials Research, 2014.

📢 Conclusion

Dr. Waleed Almuseelem is a visionary IT educator, researcher, and cybersecurity expert dedicated to shaping the future of digital security. His contributions to cloud security, intrusion detection, and zero-trust architectures have been recognized globally. Through academic leadership, research, and industry collaborations, he continues to advance cybersecurity innovations that benefit academia, industry, and national security. 🚀

Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

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Mrs. Ionela Chereja | Privacy of data | Best Researcher Award

Data Engineer and Doctoral student, Technical University of Cluj-Napoca, Romania

Ionela Chereja is a dedicated Data Engineer and doctoral student at the Technical University of Cluj-Napoca, Romania. With over 12 years of experience in data engineering and research, she has contributed significantly to data warehousing, database administration, performance optimization, and data privacy. Her expertise extends to developing frameworks that enhance data security in complex ecosystems.

Publication Profile

Scopus

🎓 Academic Background:

Ionela holds a Bachelor’s degree in Computer Science and a Master’s degree in Databases (Data Science). She is currently pursuing her Ph.D., focusing on privacy assessment frameworks for multilayered data ecosystems. Her academic journey has been marked by a deep commitment to advancing data security and architecture.

💼 Professional Experience:

With extensive industry experience, Ionela has worked on numerous data ecosystem projects in education, media, retail, finance, private hosting, and advertising. She has been instrumental in developing data storage solutions that balance performance and privacy while ensuring compliance with industry regulations.

🏆 Awards and Honors:

Ionela has been recognized for her research contributions in data privacy and security. Her work on privacy assessment frameworks has been widely appreciated in academic and professional circles, earning her citations and collaborations in high-impact research projects.

🔬 Research Focus:

Her primary research interests include data privacy, data storage systems, and data architecture. She is actively engaged in developing innovative assessment frameworks that address security challenges in complex data ecosystems, aiming to improve vulnerability detection and risk mitigation strategies.

🔎 Conclusion:

Ionela Chereja is a passionate researcher and industry expert committed to enhancing data privacy and security in modern ecosystems. Through her academic and professional journey, she continues to bridge the gap between research and real-world applications, making valuable contributions to the field of data engineering.

🔗 Publications Top Notes:

Muhammad Bilal Mahmood | Security | Best Researcher Award

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Mr. Muhammad Bilal Mahmood | Security | Best Researcher Award

PhD Scholar, Dalian University of Technology, China

Muhammad Bilal Mahmood is a dedicated researcher and educator in Software Engineering, currently pursuing his Ph.D. at Dalian University of Technology, China 🎓. With a strong foundation in Computer Engineering and extensive expertise in machine learning, natural language processing, and cybersecurity, he has contributed significantly to academia and research. As a lecturer at The University of Lahore, Pakpattan Campus, since 2017, he has been instrumental in shaping young minds and fostering innovation 💡. His research interests include deep learning, facial expression recognition, and AI-driven cybersecurity solutions.

Publication Profile

ORCID

📚 Education

Muhammad Bilal Mahmood’s academic journey reflects his passion for cutting-edge technology and innovation 🚀. He is currently a Ph.D. candidate in Software Engineering (2021–2025) at Dalian University of Technology, China. Prior to this, he earned his MS in Computer Engineering from NUST College of Electrical & Mechanical Engineering, Rawalpindi, Pakistan (2015) 🎓. His undergraduate studies in Computer System Engineering were completed at NFC Institute of Engineering & Technological Training, Multan, Pakistan (2011), laying the groundwork for his expertise in programming and research.

💼 Experience

With over six years of academic and research experience, Muhammad Bilal Mahmood has been serving as a Lecturer at The University of Lahore, Pakpattan Campus, since 2017 🏫. His responsibilities include developing system requirement specifications, designing databases, programming under strict coding guidelines, and ensuring seamless project management 📊. His ability to mentor students and collaborate with fellow researchers has made him a valuable asset in the field of software engineering.

🏆 Awards and Honors

Throughout his career, Muhammad Bilal Mahmood has been recognized for his contributions to research and academia 🏅. His innovative work in deep learning, NLP, and cybersecurity has earned him appreciation within the research community. His expertise in artificial intelligence-driven security solutions has led to impactful publications, making significant contributions to advancing technological frontiers.

🔬 Research Focus

Muhammad Bilal Mahmood’s research primarily revolves around artificial intelligence, deep learning, and cybersecurity 🔍. His work includes speech emotion recognition, malicious package detection in PyPI, and facial expression analysis using convolutional neural networks 🤖. He has also contributed to medical image processing, topic discovery in health data, and chatbot development for university applications. His interdisciplinary research bridges the gap between AI and real-world applications, improving human-computer interactions.

📝 Conclusion

Muhammad Bilal Mahmood is a passionate researcher, educator, and software engineer dedicated to advancing AI-driven solutions and cybersecurity methodologies 💡. His commitment to academia, combined with his innovative research projects, makes him a valuable contributor to the field. Through his teaching and research, he continues to inspire the next generation of engineers and scientists, pushing the boundaries of technological advancements. 🚀

📄 Publications

Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks – This research explores deep learning-based speech emotion recognition to enhance human-computer interaction. [Published in: Journal Name, Year] 📜🔗

PypiGuard: A novel meta-learning approach for enhanced malicious package detection in PyPI through static-dynamic feature fusion – This paper introduces a cutting-edge security framework for detecting malicious packages in Python’s package repository. [Published in: Journal Name, Year] 📜🔗

Mahfooz Alam | Cloud Computing | Best Researcher Award

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Assist. Prof. Dr. Mahfooz Alam | Cloud Computing | Best Researcher Award

Assistant professor, G. L. Bajaj College of Technology and Management, Greater Noida, India

Dr. Mahfooz Alam is an esteemed academician and researcher in the field of Computer Science, specializing in Cloud Computing, Internet of Things (IoT), Workflow Scheduling, and Machine Learning 🤖. He is currently serving as an Assistant Professor in the Department of MCA at G. L. Bajaj College of Technology and Management, Greater Noida, India 🇮🇳. With a strong academic background and years of teaching experience, Dr. Alam is dedicated to advancing knowledge in secured workflow allocation and innovative computing methodologies. His research contributions are well-recognized, with publications in reputed journals, including IEEE, Springer, Elsevier, and Wiley 📚.

Publication Profile

Google Scholar

🎓 Education

Dr. Mahfooz Alam holds a Ph.D. in Computer Science from Aligarh Muslim University (AMU), Aligarh, India 🎓. He pursued his M.Tech. in Computer Science and Engineering from Dr. A. P. J. Abdul Kalam Technical University, Lucknow. Additionally, he completed his B.C.A. and M.C.A. from Indira Gandhi National Open University (IGNOU), New Delhi. His academic journey reflects his commitment to excellence in research and innovation in computing technologies 🖥️.

💼 Experience

Dr. Alam has a wealth of teaching and research experience, having served as an Assistant Professor at Al-Barkaat College of Graduate Studies (ABCGS), Aligarh, for six years 🏫. Currently, he holds the position of Assistant Professor at G. L. Bajaj College of Technology and Management, Greater Noida. His dedication to mentoring students and contributing to research has made him a respected figure in academia. His expertise extends to cutting-edge domains such as heuristic and meta-heuristic approaches in secured workflow allocation 🔬.

🏆 Awards and Honors

Dr. Mahfooz Alam has been recognized for his significant contributions to computer science research. His work has been published in high-impact international journals and conferences, gaining citations and recognition from fellow researchers worldwide 🌍. His contributions to machine learning applications and cloud computing security have positioned him as a thought leader in the field.

🔬 Research Focus

Dr. Alam’s research primarily focuses on Cloud Computing, IoT, Workflow Scheduling, and Load Balancing ☁️. He explores innovative approaches to software defect prediction, cybersecurity in IoT, and machine learning-driven optimization techniques. His research integrates heuristic, meta-heuristic, and reinforcement learning methods to address challenges in secure computing environments 🔍.

🔚 Conclusion

Dr. Mahfooz Alam is a dedicated academician and researcher contributing extensively to cloud computing, machine learning, and IoT security. His publications, teaching, and research endeavors continue to impact the field, shaping innovative solutions for complex computational challenges 🚀. With a strong passion for advancing knowledge and technology, Dr. Alam remains a prominent figure in the global research community 🌏.

📜 Publications

Comprehensive Bibliographic Survey and Forward-Looking Recommendations for Software Defect Prediction (IEEE Access, 2025) 📖 DOI: 10.1109/ACCESS.2024.3517419

Software Defects Prediction Using Generative Adversarial Network Based Data Balancing (Book Chapter, 2025) 📖 DOI: 10.1007/978-3-031-83790-6_22

Reinforcing Defect Prediction: A Reinforcement Learning Approach  (Iran Journal of Computer Science, 2025) 📖 DOI: 10.1007/s42044-024-00214-8

Ensemble Deep Learning Techniques for Time Series Analysis (Cluster Computing, 2025) 📖 DOI: 10.1007/s10586-024-04684-0

A Levelized Multiple Workflow Heterogeneous Earliest Finish Time Allocation Model  (Algorithms, 2025) 📖 DOI: 10.3390/a18020099

Cybersecurity Challenges for Social, Ad-hoc, and Sensor Networks in IoT  (Wireless Ad-hoc and Sensor Networks, 2024) 📖 DOI: 10.1201/9781003528982-12

Performance Evaluation on Detection of Phishing Websites Using Machine Learning Techniques (ICEECT, 2024) 📖 DOI: 10.1109/iceect61758.2024.10739275

Empowering IoT Security (Book Chapter, 2024) 📖 DOI: 10.1201/9781003460367-11

A Trustworthy Hybrid Model for Transparent Software Defect Prediction: SPAM-XAI (PLOS ONE, 2024) 📖 DOI: 10.1371/journal.pone.0307112

Security Challenges for Workflow Allocation Model in Cloud Computing Environment: A Comprehensive Survey, Framework,
Taxonomy, Open Issues, and Future Directions  (Journal of Supercomputing, 2024) 📖 DOI: 10.1007/s11227-023-05873-1

Dr. DURGADEVI P | Network security | Best Researcher Award

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Dr. DURGADEVI P | Network security | Best Researcher Award

Assistant Professor, SRM INSTITUTE OF SCIENCE AND ENGINEERING, India

Dr. P. Durgadevi is a passionate academician and researcher in the field of Computer Science and Engineering with over 16 years of teaching and research experience. She is currently serving as an Assistant Professor (S.G.) at SRM Institute of Science and Technology, Vadapalani, Chennai. Her expertise spans across Cloud Computing, Machine Learning, Artificial Intelligence, and Swarm Optimization Algorithms. She has made significant contributions to academia by mentoring research scholars, publishing high-impact papers, and actively participating in professional organizations. Her commitment to excellence has earned her multiple awards and recognitions, establishing her as a distinguished educator and researcher. 📚✨

Publication Profile

Education 🎓

Dr. Durgadevi holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai (2019). She completed her M.E. in Computer Science and Engineering from Arunai Engineering College, Tiruvannamalai with 84% (2009) and her B.Tech in Information Technology from Kamban Engineering College, Tiruvannamalai with 82% (2005). Her strong academic background has laid the foundation for her impactful research in computing and optimization techniques. 🎯

Experience 👩‍🏫

With a career spanning over 16 years, Dr. Durgadevi has held various prestigious teaching positions. She has been an Assistant Professor (S.G.) at SRM Institute of Science and Technology since October 2023 and previously served as an Assistant Professor (Sr.G.) at the same institution (2020-2023). She has also worked as an Associate Professor at Vel Tech Dr. Rangarajan Dr. Sagunthala R&D Institute of Science and Technology and as an Assistant Professor at RMK College of Engineering and Technology and Arunai Engineering College. Her extensive experience in teaching, research supervision, and academic mentoring has contributed significantly to the growth of students and young researchers. 🏆

Awards and Honors 🏅

Dr. Durgadevi has received numerous accolades for her contributions to academia and research. She was honored with the “Best Teaching Faculty” award by Dr. Abdul Kalam Education Trust (2019) and the “Young Woman in Engineering” award by Venus Foundation (2018). She has been recognized as a Top Performing Mentor by NPTEL, earning multiple Elite and Silver Certifications for excellence in courses like Big Data Computing and The Joy of Computing in Python. She has also received Best Paper Awards at renowned international conferences such as ICCAI 2021 and ICOICI 2022. Her commitment to academic excellence is further demonstrated by her lifetime memberships in prestigious organizations like ISTE, CSI, IAENG, and CSTA. 🏆🌟

Research Focus 🔬

Dr. Durgadevi’s research revolves around Cloud Computing, Machine Learning, Artificial Intelligence, and Swarm Optimization Algorithms. Her Ph.D. work focused on “An Optimal Resource Discovery and Allocation in Cloud Using Hybrid Swarm Optimization Algorithms”, aiming to enhance cloud resource management efficiency. She is an active research supervisor at SRM Institute of Science and Technology, guiding four research scholars and serving as a Doctoral Committee Member for Anna University scholars. Her work emphasizes metaheuristic optimization, network security, and intelligent computing, contributing to the development of robust and scalable computing solutions. 🚀

Conclusion 🌍

Dr. P. Durgadevi is an accomplished researcher, educator, and mentor, making remarkable strides in the field of Computer Science and Engineering. Her dedication to research, excellence in teaching, and active engagement in professional communities have solidified her reputation as a leading academician. With her extensive contributions to Cloud Computing, AI, and Swarm Intelligence, she continues to inspire and shape the next generation of computing professionals. 🚀🎯

Publications 📖

Optimizing network security: Weighted average ensemble of BPNN and RELM in EPRN-WPS intrusion detection

Resource Allocation in Cloud Computing using SFLA and Cuckoo Search Hybridization, International Journal of Parallel Programming, 2020 – Cited by 34

Task Scheduling using Amalgamation of Metaheuristics Swarm Optimization Algorithm and Cuckoo Search in Cloud Computing, Journal for Research, 2015 – Cited by 11

Recognition of Face Grounded on Aging Factors by Exploiting AI Techniques, Annals of the Romanian Society for Cell Biology, 2021 – Cited by

Flood Detection and Management using IoT and Correlation Analysis, Journal of Interdisciplinary Cycle Research, 2021

Comparative Analysis of Color and Texture-Based Skin Recognition Techniques, Psychology and Education Journal, 2021

Public Key Encryption with Keyword Search, International Journal of Advance Research, Ideas, and Innovations, 2021

Prediction and Control of Accident Risks Using Logistic Model Learning Technique, Solid State Technology, 2020

Bank Endorsement Classification: A Novel Content-Based Approach Using Pupil Tracking Technology, Journal of Computational and Theoretical Nanoscience, 2020

 

Jiang Zhou | Data Security | Best Researcher Award

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Mr. Jiang Zhou | Data Security | Best Researcher Award

Associate Professor, Institute of Information Engineering, Chinese Academy of Sciences, China

👨‍🏫 Dr. Jiang Zhou is an Associate Professor at the Institute of Information Engineering, Chinese Academy of Sciences and the University of Chinese Academy of Sciences. He earned his Ph.D. from the same institution in 2014 and was a visiting scholar at Texas Tech University from 2015 to 2018. Dr. Zhou’s research focuses on data storage security, privacy computing, and distributed computing, with over 40 publications and numerous contributions to high-performance computing. He actively contributes to several major research projects and serves as a reviewer for leading journals. Dr. Zhou is a member of the IEEE and CCF.

Publication Profile

Google Scholar

Strengths for the Award:

  1. Prolific Publication Record: Jiang Zhou has published over 40 papers in prestigious journals and conferences, with 10 journal publications, 5 of which are SCI-indexed. This demonstrates a solid research foundation, especially in the field of data storage security and privacy computing.
  2. Strong Research Impact: His h-index of 11, with 193 citations since 2019 and a total of 271 citations, showcases the relevance and influence of his research in the academic community.
  3. Project Leadership: He has led significant projects, including the National Natural Science Foundation of China (NSFC) and the Strategic Priority Research Program of the Chinese Academy of Sciences, highlighting his ability to secure and manage high-profile research initiatives.
  4. Innovative Contributions: His work on developing distributed file systems (CFS), data distribution algorithms (SUORA and PRS), secure cloud storage systems, and insider threat detection methods like Log2Graph and LAAEB has direct practical implications, especially in enhancing data security for large organizations like China Mobile.
  5. International Collaboration: His collaboration with Prof. Yong Chen at Texas Tech University, along with his role as a visiting scholar, indicates his global research engagement and his ability to contribute to international projects on data-intensive scalable computing.
  6. Industry Relevance: His research has applications in industry, particularly through projects such as secure cloud storage systems and insider threat detection used by China Mobile, which further amplifies the real-world impact of his work.
  7. Professional Involvement: As an active member of the IEEE and CCF and a reviewer for high-impact journals such as TPDS, TC, and TOS, Zhou is well-integrated within the academic and professional communities, further supporting his candidacy.

Areas for Improvement:

  1. Broader Impact and Outreach: While Zhou has made notable technical contributions, greater emphasis on community outreach or public dissemination of research might improve his profile for broader recognition. Engaging more in public talks, conferences, or workshops would further solidify his reputation as a leader in his field.
  2. Patents and Consultancy: Although he has 2 patents published or in progress, focusing more on technology transfer, commercialization of his innovations, or further collaboration with industry could enhance the practical applications of his research. He currently has limited consultancy or industry collaborations beyond academia.
  3. Cross-disciplinary Work: Expanding his research into adjacent fields such as AI or machine learning, and exploring interdisciplinary collaborations could position him more strongly as a cutting-edge researcher.

 

Education

🎓 Jiang Zhou received his Ph.D. in Computer Science from the University of Chinese Academy of Sciences in 2014. His academic journey includes a visiting scholar stint at Texas Tech University, where he contributed to large-scale projects on high-performance computing and data storage. His strong educational foundation has been pivotal in driving forward his research in data security and distributed systems.

Experience

💼 Dr. Zhou holds the position of Associate Professor at the Institute of Information Engineering, Chinese Academy of Sciences. His academic career is marked by extensive involvement in cutting-edge research, particularly in data security and storage. From 2015 to 2018, he served as a visiting scholar at Texas Tech University, where he collaborated on several key projects related to scalable computing instruments for high-performance computing. He has led significant national research initiatives, including the National Natural Science Foundation of China.

Research Focus

🔬 Dr. Zhou’s research interests lie in file and storage systems, data security, parallel computing, and insider threat detection. He has made impactful contributions in optimizing I/O operations, enhancing metadata services, and improving data availability and security in large-scale distributed systems. His work has introduced innovative data distribution algorithms and insider threat detection techniques that are widely recognized in the computing community.

Awards and Honors

🏆 Throughout his academic career, Dr. Zhou has been recognized for his contributions to data storage and security. He has successfully led several national research projects and collaborated on international initiatives. His research output has earned him an esteemed reputation in the field, particularly with regard to his contributions to distributed computing and storage optimization.

Publications Top Notes

📚 Dr. Zhou has published over 40 peer-reviewed papers, including highly cited works in renowned journals such as TPDS, TC, and TSC. His top 5 SCI-indexed publications include groundbreaking research on distributed file systems, insider threat detection, and data security. His work is consistently cited, with over 271 citations to date. Below are some of his notable publications:

“Secure Data Distribution in Heterogeneous Storage Systems” (2023) – IEEE Transactions on Computers (TC), cited by 10 articles. Link

“Insider Threat Detection Using Log2Graph” (2022) – Journal of Computer Security (JCS), cited by 15 articles. Link

“High-Performance Distributed Metadata Services on Hadoop” (2021) – IEEE Transactions on Parallel and Distributed Systems (TPDS), cited by 20 articles. Link

“PRIME: A Scalable Data Management System for Cloud” (2020) – Journal of Parallel and Distributed Computing (JPDC), cited by 12 articles. Link

“Confidential Computing: Challenges and Solutions” (2019) – Computer & Security (COSE), cited by 18 articles. Link

Conclusion:

Jiang Zhou is a highly qualified candidate for the Best Researcher Award, given his strong academic contributions, leadership in impactful projects, and tangible real-world applications of his research. His innovations in data storage security, distributed systems, and insider threat detection make him an exceptional contender. Focusing more on cross-disciplinary work, commercialization, and outreach could enhance his profile even further, but overall, his current achievements are commendable and align well with the expectations of a Best Researcher Award recipient.

 

Meikang Qiu | Cloud Computing | Best Researcher Award

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Prof Dr. Meikang Qiu | Cloud Computing | Best Researcher Award

Professor, Augusta University,United States

📚 Dr. Meikang Qiu is a tenured full professor at the Department of Computer and Cyber Sciences at Augusta University. With a rich research background spanning artificial intelligence, big data, and cybersecurity, he has published over 550 papers, books, and book chapters. His work has garnered more than 25,400 citations, reflecting his significant impact on the field. As an ACM Distinguished Member and IEEE Distinguished Visitor, Dr. Qiu has supervised 12 Ph.D. students and 2 postdoctoral researchers, contributing extensively to both academia and industry.

Profile

Strengths for the Award

  1. Diverse Research Interests: Meikang Qiu’s work spans numerous fields, including AI, Big Data, Cybersecurity, IoT, Data Analytics, and more. This interdisciplinary approach can significantly impact various community sectors.
  2. High Citation Metrics: With over 25,400 citations and an H-index of 106, Qiu’s work has a proven broad impact, demonstrating significant influence in the academic community.
  3. Extensive Publications: He has authored over 550 papers/books/book chapters, showcasing a prolific output that contributes to the knowledge base in his fields of expertise.
  4. Recognition and Awards: His numerous accolades, including the IEEE Systems Journal Best Paper Award and the IEEE Big Data Security STC Founder and Pioneer Award, underline his excellence and contributions to research.
  5. Community and Educational Involvement: Qiu’s involvement in workshops and seminars, such as the GenCyber Cybersecurity Workshop for High School Teachers, highlights his commitment to community education and outreach.
  6. Leadership and Mentorship: Supervision of 12 Ph.D. students and 2 postdocs, along with significant roles in professional services (e.g., General Chair of IEEE conferences), indicates his leadership and mentorship capabilities, contributing to the academic and professional growth of others.
  7. Industrial and Practical Experience: His experience working in high-tech companies and collaborations with industry giants like Google and Amazon ensures that his research has practical applications and relevance to real-world problems.

Areas for Improvement

  1. Focus on Direct Community Impact: While Qiu’s research undoubtedly has broad implications, more emphasis on direct, measurable impacts on specific communities could strengthen his case. Detailed examples of how his work has directly benefited particular communities or societal sectors would be beneficial.
  2. Public Engagement: Increasing efforts in public dissemination of his research findings through popular media or public lectures could enhance the visibility and understanding of his work’s impact on the community.
  3. Collaboration with Community Organizations: Strengthening partnerships with community-based organizations to apply his research findings more directly in local settings could further demonstrate the tangible impact of his work.

Education

🎓 Dr. Meikang Qiu earned his Ph.D. in Computer Science from the University of Texas at Dallas in May 2007. Prior to that, he completed his M.S. in Computer Science with a perfect GPA of 4.0 from the same institution in December 2003. He also holds a Master’s degree in Industrial Engineering & Management (March 1998) and a Bachelor’s degree in Naval Architecture & Engineering (July 1992), both from Shanghai Jiao Tong University.

Experience

💼 Before joining academia, Dr. Qiu gained nine years of industry experience working with high-tech companies, where he secured over $2 million in funding and established strong connections with major tech firms like Google, Facebook, and Amazon. In academia, he has attended more than 20 NSF panels and holds significant roles in various professional organizations.

Research Interests

🔍 Dr. Qiu’s research interests are vast and multidisciplinary, encompassing artificial intelligence, reinforcement learning, data analytics, machine learning, cybersecurity, computer security, mobile systems, cloud computing, robotics, cyber-physical systems, real-time embedded systems, sensor networks, ubiquitous and pervasive computing, heterogeneous mobile networks, and smart computing and software systems.

Awards

🏆 Dr. Qiu has received numerous awards, including the 2021 IEEE Computer Society Distinguished Contributor, 2021 Founder and Pioneer Award from IEEE Big Data Security STC, 2021 Senior Leadership Award from IEEE Bio-inspired Computing STC, and has been recognized as a Highly Cited Researcher by Clarivate/Web of Science in 2020. Additionally, he is an ACM Distinguished Member since 2019 and has received multiple best paper awards.

Publications

  1. 🌟 J. Li, M. Qiu, Z. Ming, G. Quan, X. Qin, Z. Gu, “Online Optimization for Scheduling Preemptable Tasks on IaaS Cloud Systems,” Journal of Parallel and Distributed Computing, Vol. 72, No. 5, pp. 666-677, May 2012.
  2. 🌟 K. Gai, M. Qiu, H. Zhao, L. Tao, Z. Zong, “Dynamic Energy-Aware Cloudlet-based Mobile Cloud Computing Model for Green Computing,” Journal of Network and Computer Applications, Vol. 59, No. 1, pp. 46-54, 2016. (Best Research Paper 2018)
  3. 🌟 M. Qiu, Z. Ming, J. Li, K. Gai, Z. Zong, “Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm,” IEEE Transactions on Computers, Vol. 64, No. 12, pp. 3528-3540, Dec. 2015. (Hot Paper 2017, Highly Cited Paper 2017-2021)
  4. 🌟 Y. Li, W. Dai, Z. Ming, M. Qiu, “Privacy Protection for Preventing Data Over-Collection in Smart City,” IEEE Transactions on Computers, Vol. 65, No. 5, pp. 1339-1350, May 2016. (Highly Cited Paper 2017-2018)
  5. 🌟 X. Gao, M. Qiu, “Energy-Based Learning for Preventing Backdoor Attack,” 15th Intl. Conf. on Knowledge Science, Eng., and Management (KSEM, Springer), Vol. 3, pp. 706-721, Aug. 2022. (Best Student Paper Award)
  6. 🌟 Y. Zeng, H. Qiu, G. Memmi, M. Qiu, “Defending Adversarial Examples in Computer Vision based on Data Augmentation Techniques,” 20th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2020), Oct. 2020. (Best Paper Award)
  7. 🌟 Y. Zhang, M. Qiu, C.-W. Tsai, M. Hassan, A. Alamri, “Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data,” IEEE Systems Journal, Vol. 11, No. 1, pp. 88-95, 2017. (Best Paper Award, Highly Cited Paper 2017-2019)