Ruzayn Quaddoura | Computer Science | Best Researcher Award

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Assoc. Prof.Dr.Ruzayn Quaddoura | Computer Science | Best Researcher Award

Zarqa University, Jordanian

Dr. Ruzayn Quaddoura 🇯🇴 is a renowned academic and researcher in the field of computer science, specializing in combinatorial optimization and algorithmic graph theory. he has over two decades of teaching and research experience . Currently serving as Assistant Professor at Zarqa University in Jordan , he has also held teaching positions in Saudi Arabia 🇸🇦, France 🇫🇷, and Syria 🇸🇾. Dr. Quaddoura has made significant contributions to the study of NP-hard problems, scheduling algorithms, and digraph structures . He has authored numerous peer-reviewed publications in prestigious journals and conferences worldwide . Multilingual in Arabic, English, and French , he actively engages in academic committees, technical boards, and student mentorship. His dedication to quality education and advanced algorithm research positions him as a leading voice in theoretical computer science .

🔹Professional Profile

ORCID

🔹 Education & Experience

Dr. Quaddoura’s academic foundation was laid at Damascus University 🇸🇾, where he earned his Bachelor’s and Postgraduate Diploma in Mathematics . He then pursued a Diploma in French Language 🇫🇷 and later completed an MSc (DEA) in Operations Research – Combinatorial Optimization at INPG, Grenoble . He culminated his academic training with a PhD in Algorithmic Graph Theory from the University of Picardie Jules Verne, France .His professional journey began as a lecturer in Syria and France, before moving into Assistant Professor roles at Princess Sumaya University, Zarqa University, and King Abdulaziz University . Since 2011, he has been a key faculty member at Zarqa University’s Faculty of Information Technology. His teaching areas include algorithms, data structures, discrete mathematics, and compilers . His global academic experience and strong theoretical background reflect a career devoted to advancing computer science education and research .

🔹 Professional Development 

Throughout his career, Dr. Quaddoura has actively contributed to academic growth, institutional leadership, and scholarly collaboration . He has served on various academic committees at Zarqa University, including the Scientific Committee, Study Plan Committee, and Course Equivalence Committee. As Chairman of Exams and Committee Leader, he has shaped curriculum and assessment strategies with excellence.He played similar roles at King Abdulaziz University, contributing to master’s program oversight and curriculum development in computing and information technology . His refereeing activities include serving on the technical committees of prominent journals and conferences like IAJIT and ACIT . Additionally, he managed the Colleges of Computing and Information Society office in 2015, demonstrating organizational and strategic leadership.His professional footprint showcases not only academic rigor but also collaborative leadership, quality assurance, and international engagement in the computing education community .

🔹 Research Focus Category 

Dr. Ruzayn Quaddoura’s primary research lies in Theoretical Computer Science, focusing on Combinatorial Optimization, Algorithmic Graph Theory, and Complexity Theory . His work explores the deep structure of graphs, creating efficient solutions to NP-hard problems using novel algorithmic techniques . From linear-time scheduling algorithms for specific graph families to optimization in series-parallel digraphs and bipartite graphs, his research bridges abstract theory and real-world computational problems .He has also extended his expertise to applied fields such as the Internet of Things (IoT), encryption, and machine learning in wildfire detection . His publications in top-tier journals like IAJIT, Algorithms, and Symmetry highlight his contributions to both pure and applied research .Dr. Quaddoura’s innovative approaches to graph decomposition, structural analysis, and algorithmic efficiency contribute significantly to solving modern computing challenges through mathematical elegance and logical precision .

🔹 Awards and Honors 

 Dr. Quaddoura’s academic excellence has been recognized through several prestigious awards and honors. He earned a First Rank Honor Certificate from Damascus University in 1992 for academic distinction in Mathematics . He received a scholarship from INPG (France) for his MSc in Combinatorial Optimization and another scholarship from Picardie Jules Verne University to pursue his PhD in Theoretical Computer Science , In 2014, he was honored with a Recognition Paper Award from the World of Computer Science and Information Technology Journal for his innovative algorithm on induced matchings in bipartite graphs .These accolades reflect his commitment to research excellence, international academic collaboration, and impactful contributions to the field of computer science 🌍🔬.His scholarly achievements not only affirm his status as a leading researcher but also inspire a generation of students and scientists dedicated to algorithmic innovation and problem-solving .

🔹Publication of Top Notes

1. The Clique-Width of Minimal Series-Parallel Digraphs

Authors: Frank Gurski, Ruzayn Quaddoura
Year: 2025
Citation: Algorithms, 2025-05-28. DOI: 10.3390/a18060323

2.Early Wildfire Smoke Detection Using Different YOLO Models

Authors: Yazan Al-Smadi, Mohammad Alauthman, Ahmad Al-Qerem, Amjad Aldweesh, Ruzayn Quaddoura, Faisal Aburub, Khalid Mansour, Tareq Alhmiedat
Year: 2023
Citation: Machines, 2023. DOI: 10.3390/machines11020246

3. Internet of Things Protection and Encryption: A Survey

Authors: Ghassan Samara, Ruzayn Quaddoura, M. I. Al-Shalout, K. AL-Qawasmi, G. A. Besani
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2204.04189

4.Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2022
Citation: arXiv, 2022. DOI: 10.48550/arxiv.2203.15726

5. Scheduling UET-UCT DAGs of Depth Two on Two Processors

Authors: Ruzayn Quaddoura, Ghassan Samara
Year: 2021
Citation: 22nd International Arab Conference on Information Technology (ACIT), 2021. DOI: 10.1109/ACIT53391.2021.9677100

6.On 2-Colorability Problem for Hypergraphs with P₈-Free Incidence Graphs

Authors: Ruzayn Quaddoura
Year: 2020
Citation: International Arab Journal of Information Technology, 2020. DOI: 10.34028/iajit/17/2/14

🧾 Conclusion

Dr. Ruzayn Quaddoura is highly suitable for the Best Researcher Award. His research exhibits a rare balance of theoretical depth and practical relevance, particularly in the areas of graph theory, AI for environmental monitoring, and cybersecurity. His ongoing contributions to both academia and applied science solidify his standing as a leading and impactful researcher deserving of recognition.

Chaoli Zhang | Computer Science | Best Researcher Award

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Assist. Prof. Dr ChaoliZhang | Computer Science | Best Researcher Award

Lecturer at Zhejiang Normal University, China

Dr. Chaoli Zhang is a Lecturer at the College of Computer Science and Technology, Zhejiang Normal University . He received his Ph.D. in Computer Science and Technology from Shanghai Jiao Tong University  and has previously worked at Alibaba DAMO Academy as a Senior Engineer . With deep expertise in time series anomaly detection, intelligent systems, and wireless data center networks , he has authored several influential papers in top-tier conferences and journals like IEEE ToN, KDD, and CIKM . He holds multiple patents in AI-driven fault detection and data analysis . Known for blending academic excellence with industrial innovation , he actively contributes to national and provincial-level research projects. His work has earned him prestigious recognitions, including a championship in a global 5G fault localization challenge . Dr. Zhang continues to push the boundaries of AI applications in realworld intelligent systems .

🔹Professional Profile

GOOGLE SCHOLAR

🎓 Education & Experience

Dr. Zhang obtained his bachelor’s degree in Information Security and Law from Nankai University (2011–2015)  and earned his Ph.D. from Shanghai Jiao Tong University (2015–2020) in Computer Science and Technology . After completing his doctorate, he worked from 2020 to 2023 at the Machine Intelligence Lab of Alibaba DAMO Academy , where he led advanced AI projects related to anomaly detection and intelligent monitoring . Since January 2024, he has served as a Lecturer at Zhejiang Normal University, where he continues research in AI and teaches advanced computing topics . His education blends theoretical depth with multidisciplinary training, while his work experience bridges top-tier academia and cutting-edge industry R&D . This combination allows him to explore highly applied, intelligent systems with real-world impact .

📈 Professional Development

Dr. Zhang has demonstrated rapid professional growth through impactful roles in both academia and industry . At Alibaba DAMO Academy, he focused on intelligent systems for real-time anomaly detection in large-scale infrastructure . He has since transitioned into academia, taking a faculty role at Zhejiang Normal University where he now leads funded research projects on smart healthcare analytics and IoT anomaly diagnostics . His professional development is characterized by an emphasis on translational research—converting algorithms into deployable solutions for real-world systems . As a project leader, he has secured competitive funding from the Zhejiang Natural Science Foundation and municipal science programs . Dr. Zhang regularly presents at global conferences (e.g., KDD, CIKM), reflecting his active engagement with the international research community . With a strong portfolio of publications, patents, and leadership, his professional path exemplifies AI-driven innovation and academic-industrial synergy .

🧠 Research Focus

Dr. Chaoli Zhang’s research interests lie at the intersection of time series anomaly detection, intelligent computing, and wireless data center networks . He develops novel algorithms for fault root cause analysis, time-frequency decomposition, and multivariate data analysis . His work on models like TFAD and DCdetector introduces advanced methods combining attention mechanisms, contrastive learning, and decomposition techniques for real-time monitoring . His recent projects also explore heterogeneous IoT anomaly detection and healthcare time series analysis, contributing to the development of robust, interpretable, and scalable AI systems . These innovations support applications in smart cities, cloud platforms, and industrial diagnostics ⚙️. With a foundation in graph modeling and deep learning, Dr. Zhang’s research aims to enhance system resilience, operational intelligence, and automation reliability across complex environments .

🏅 Awards & Honors

Dr. Zhang has earned several notable awards that reflect the excellence and impact of his research work . He was the champion of the 2022 SP Grand Challenge on 5G network fault root cause localization, prevailing over 338 global teams . His practical AI deployment solutions earned him the AAAI/IAAI’23 Deployed Application Innovation Award, one of only 10 globally recognized projects that year . He holds multiple Chinese patents related to time series analysis and cloud-based diagnostic methods 🔬, underscoring his ability to translate theory into tangible technological advances. His papers have been featured in leading journals and conferences, where he served as first or co-first author (IEEE ToN, CIKM, KDD, TCS) . These accolades highlight his cross-domain innovation, commitment to real-world impact, and leadership in the intelligent systems community .

🔹Publication of Top Notes

1.Transformers in Time Series: A Survey

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 1328

2.DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Authors: Y. Yang, C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2023
Citations: 225

3.Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects

Authors: K. Zhang, Q. Wen, C. Zhang, R. Cai, M. Jin, Y. Liu, J.Y. Zhang, Y. Liang, …
Year: 2024
Citations: 222

4.Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook

Authors: M. Jin, Q. Wen, Y. Liang, C. Zhang, S. Xue, X. Wang, J. Zhang, Y. Wang, …
Year: 2023
Citations: 166

5. Large Language Models for Education: A Survey and Outlook

Authors: S. Wang, T. Xu, H. Li, C. Zhang, J. Liang, J. Tang, P.S. Yu, Q. Wen
Year: 2024
Citations: 146

6.TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis

Authors: C. Zhang, T. Zhou, Q. Wen, L. Sun
Year: 2022
Citations: 106

7.A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Authors: Y. Yang, M. Jin, H. Wen, C. Zhang, Y. Liang, L. Ma, Y. Wang, C. Liu, B. Yang, …
Year: 2024
Citations: 76

8.LogiCoT: Logical Chain-of-Thought Instruction-Tuning

Authors: H. Liu, Z. Teng, L. Cui, C. Zhang, Q. Zhou, Y. Zhang
Year: 2023
Citations: 51

9. Transformers in Time Series: A Survey (arXiv version)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2022
Citations: 45

10. Bringing Generative AI to Adaptive Learning in Education

Authors: H. Li, T. Xu, C. Zhang, E. Chen, J. Liang, X. Fan, H. Li, J. Tang, Q. Wen
Year: 2024
Citations: 43

11.Pricing and Allocation Algorithm Designs in Dynamic Ridesharing System

Authors: C. Zhang, J. Xie, F. Wu, X. Gao, G. Chen
Year: 2020
Citations: 35

12.Transformers in Time Series: A Survey (repeat entry, possibly updated citation)

Authors: Q. Wen, T. Zhou, C. Zhang, W. Chen, Z. Ma, J. Yan, L. Sun
Year: 2023
Citations: 23

13.AHPA: Adaptive Horizontal Pod Autoscaling on Alibaba Cloud Kubernetes

Authors: Z. Zhou, C. Zhang, L. Ma, J. Gu, H. Qian, Q. Wen, L. Sun, P. Li, Z. Tang
Year: 2023
Citations: 22

14.Free Talk in the Air: A Hierarchical Topology for 60 GHz Wireless Data Center Networks

Authors: C. Zhang, F. Wu, X. Gao, G. Chen
Year: 2017
Citations: 19

15.Logical Reasoning in Large Language Models: A Survey

Authors: H. Liu, Z. Fu, M. Ding, R. Ning, C. Zhang, X. Liu, Y. Zhang
Year: 2025
Citations: 14

16.Online Auctions with Dynamic Costs for Ridesharing

Authors:C. Zhang, F. Wu, X. Gao, G. Chen
Year:2017
Citations:14

17.NetRCA: An Effective Network Fault Cause Localization Algorithm

Authors: C. Zhang, Z. Zhou, Y. Zhang, L. Yang, K. He, Q. Wen, L. Sun
Year: 2022
Citations: 13

📌 Conclusion 

Dr. Chaoli Zhang exemplifies the ideal recipient of the Best Researcher Award due to his proven research excellence, industry-validated innovations, and impactful contributions across multiple disciplines. His work seamlessly bridges the gap between theoretical advancements and real-world applications, particularly in artificial intelligence, anomaly detection, and time series analysis. With a strong publication record in top-tier journals and conferences, and recognized achievements such as the SP Grand Challenge 2022 and the AAAI/IAAI Innovation Award, Dr. Zhang has demonstrated both academic depth and practical relevance. His leadership in developing AI-driven solutions for complex, large-scale systems solidifies his standing as one of the top emerging voices in the field. These accomplishments collectively make him exceptionally worthy of recognition as a Best Researcher Award.

Dr Maria Akhtar | Knowledge management and innovation | Best Researcher Award

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Dr Maria Akhtar | Knowledge management and innovation | Best Researcher Award

PhD Research Scholar at Zhengzhou University,China

Profile

Orcid

Early Academic Pursuits 🎓

Maria Akhtar’s academic journey is defined by a clear commitment to expanding her knowledge base and honing her skills across multiple disciplines. Beginning with a Bachelor’s in Business Administration (B.B.A.) from the University of Sargodha in 2020, Maria’s foundation in business administration provided a strong basis for her future academic pursuits. She further expanded her academic repertoire by earning a Bachelor’s in Economics from The Gomal University, gaining a holistic understanding of economics and business dynamics.

Maria’s academic pursuits then took a significant leap with her Master’s degree in Human Resource Management (MS) from the University of Sargodha. Her academic performance was exemplary, earning her a CGPA of 3.50/4.00. This degree allowed her to dive deep into the nuances of organizational behavior, leadership, and human resource strategies. Driven by a passion for cutting-edge research, Maria is now pursuing her PhD in Management Science and Engineering at Zhengzhou University in China, where she currently boasts a remarkable CGPA of 4.00/4.30. Her focus on digital leadership, sustainability, and technology in management promises to push boundaries in both academic and practical spheres.

Contributions and Research Focus 📚

  • Maria Akhtar’s contributions to the academic world have centered on exploring the impact of technology, leadership, and sustainability in business. Her research delves into the integration of digital leadership and technological innovation to drive organizational success and sustainability.
  • Her expertise also extends to examining the role of AI in enhancing business performance, leadership behaviors in corporate settings, and fostering innovation in SMEs (Small and Medium-sized Enterprises).
  •  Her work includes studies on digital transformation, the impact of AI in the gig economy, leadership coaching, and knowledge management in organizational contexts. She is particularly focused on how leaders can leverage digital technologies and sustainability practices to innovate and drive change in business environments.

Accolades and Recognition 🏅

Maria’s exceptional research output and academic contributions have earned her considerable recognition. Her work has been published in various prestigious journals, including the Journal of Human-Computer Interaction, Global Knowledge Memory and Communication, and International Journal of Managing Projects in Business.

Impact and Influence 🌍

Maria Akhtar’s research is making a tangible impact on both academia and industry. Her studies on digital leadership, artificial intelligence (AI), and sustainability are especially timely, as businesses globally face increasing pressure to embrace technological advancements. Maria’s exploration of these topics provides actionable insights that can guide business leaders in the digital age, helping them adopt new technologies to drive innovation, sustainability, and long-term success.

Maria is actively involved in mentoring young scholars, offering them valuable guidance in the realm of research methodology, academic writing, and technology-driven leadership. She is also a frequent participant in academic conferences, where she shares her research findings, engages with industry leaders, and collaborates with like-minded scholars to address pressing global challenges. Her interdisciplinary approach—blending digital innovation with leadership theory and sustainability—sets her apart as a thought leader and an influencer in her field.

Legacy and Future Contributions 🔮

Maria Akhtar’s legacy in the academic world is bound to be profound. As she continues her PhD studies, her focus on digital leadership, AI, and sustainability will push the boundaries of current knowledge. Maria’s future contributions are expected to have a long-lasting impact on both academic theory and practical applications in business. She is poised to make substantial contributions to the growing intersection between technology and leadership, especially within the context of the gig economy, AI, and sustainability.

Publication Top Notes🌱

  1. “Digitalization for a Sustainable Performance: Dual-Study Analysis of Digital Leadership, Circular Economy and Technological Innovation”
    • Authors: Khan, A., Akhtar, M., Khan, A.
    • Journal: Sustainability, MDPI (Under Production, 2024).
    • 🌍 Focus: Role of digital leadership in fostering sustainable practices.
  2. “Exploring the Impact of Entrepreneurs’ Personality on Innovation Performance: Role of Knowledge Creation Ability and Career Growth Opportunity in SMEs”
    • Authors: Akhtar, M., Khan, A.
    • Journal: Journal of Knowledge Economy (Under Production, 2024).
    • 🚀 Focus: Entrepreneurial behavior and innovation.
  3. “Leveraging Metaverse Knowledge in the Gig Economy: A Social Cognitive Perspective on Freelancer Engagement and Performance”
    • Authors: Akhtar, M., Khan, A.
    • Journal: Global Knowledge Memory and Communication (Under Production, 2024).
    • 💡 Focus: Metaverse’s role in gig economy enhancement.
  4. “Examining the Impact of Leadership Coaching Behavior on Team‐Level Knowledge Creation and Environmental Performance: A Social Exchange Theory Perspective”
    • Authors: Khan, N. A., Bahaudur, W., Akhtar, M., Maialeh, R., & Pravdina, N.
    • Journal: Business Ethics, the Environment & Responsibility (2024).
    • 🌿 Focus: Leadership’s impact on team dynamics and sustainability.
  5. “The Role of AI Self-Efficacy in Religious Contexts in Public Sector: The Social Cognitive Theory Perspective”
    • Authors: Khan, N. A., Maialeh, R., Akhtar, M., & Ramzan, M.
    • Journal: Public Organization Review (2024).
    • 🤖 Focus: AI adoption in public religious settings.
  6. “Gig Work Self-Efficacy and Its Effects on Flexibility, Career Adaptability, and Adoption in the Metaverse: A Moderated Mediation Model”
    • Authors: Khan, N. A., Zhang, J., & Akhtar, M.
    • Journal: International Journal of Human–Computer Interaction (2024).
    • 🌌 Focus: Self-efficacy in digital gig work.
  7. “AI-based Virtual Assistant and Transformational Leadership in Social Cognitive Theory Perspective: A Study of Team Innovation in Construction Industry”
    • Authors: Hui, Z., Khan, N. A., & Akhtar, M.
    • Journal: International Journal of Managing Projects in Business (2024).
    • 🏗 Focus: AI tools in team innovation.
  8. “Turning the Tide on Turnover: The Impact of Empowering Leadership on the Work-Family Spillover of Managers”
    • Authors: Khan, N. A., Bahadur, W., Maialeh, R., Pravdina, N., & Akhtar, M.
    • Journal: PLOS ONE (2023).
    • 🌀 Focus: Leadership’s effect on work-life balance.
  9. “Young Consumers’ Usability Preferences for Mobile and Computer Screens for Online Shopping Activities”
    • Authors: Khan, S. K., Khan, N. A., Quratulain, Egorova, O., Zia, N., & Akhtar, M.
    • Journal: Human Behavior and Emerging Technologies (2023).
    • 🛒 Focus: Usability in online shopping.
  10. “Drivers of Sustainability: Technological and Relational Factors Influencing Young Consumers’ Green Buying Intentions and Green Actual Consumption Behavior”
    • Authors: Khan, N. A., Hassan, S., Pravdina, N., & Akhtar, M.
    • Journal: Young Consumers (2023).
    • 🌱 Focus: Factors influencing green consumerism.