Fadi Sibai | Network | Best Researcher Award

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Assoc. Prof. Dr. Fadi Sibai | Network | Best Researcher Award

Associate Professor at Gulf University for Science and Technology, Kuwait

Dr. Fadi Sibai is an accomplished Associate Professor at Gulf University for Science and Technology (GUST) in Kuwait, with over 35 years of experience in electrical and computer engineering, AI, cybersecurity, and academic leadership. He holds a Ph.D. in Electrical Engineering from Texas A&M University and has held senior roles in prestigious institutions like Intel, Saudi Aramco, and UAE University. Dr. Sibai’s interdisciplinary research focuses on AI, machine learning, cybersecurity, and digital design, with numerous publications, including over 78 journal articles and 10 books. He has received multiple prestigious awards, such as the IBM Faculty Award and nVIDIA Research Grant, and is recognized as a leading innovator in smart cities, healthcare, and AI ethics. His work has significantly impacted education, industry, and society, making him an ideal candidate for the Best Researcher Award.

Professional Profile
Scopus
Orcid
Google Scholar

Educational Details

Dr. Sibai earned his Ph.D. and M.S. degrees in Electrical Engineering from Texas A&M University, specializing in computer engineering with minors in computer science and communications. His doctoral research focused on AI-based coprocessor architectures. He also received his B.S. in Electrical Engineering from the University of Texas at Austin, concentrating on computer science and engineering. His academic qualifications are bolstered by certifications such as PMP, CISSP, CQRM, and advanced studies at Stanford University.

Professional Experience

Dr. Sibai’s career spans academia, industry, and research leadership. He served as Dean of Engineering at Prince Mohammad Bin Fahd University, Dean at American International University Kuwait, and Associate Dean at GUST, where he played a key role in curriculum development, program accreditation (ABET, NCAAA), and launching AI and cybersecurity programs. In the industry, he held senior positions at Intel Corporation and Saudi Aramco, overseeing impactful projects in HPC, network security, robotics, and IT/OT integration. He has also been a consultant, educator, and researcher at various global institutions, including Walden University, KFUPM, and UAE University.

Research Interests

Dr. Sibai's research is interdisciplinary, focusing on AI, machine learning, computer and embedded systems, high-performance computing, digital design, data science, robotics, and cybersecurity. His recent work includes AI for smart cities , AI ethics and regulation , ensemble learning models in healthcare , and network-on-chip architectures. He is also an expert in neural networks , fault-tolerant computing, and energy-aware systems, blending theoretical modeling with real-world applications.

Author Metrics

Dr. Sibai has authored or co-authored over 250 scholarly publications, including 78+ journal articles, 10 books/book chapters, and numerous conference papers . Many of these are indexed in Scopus and IEEE Xplore, with his work being cited nearly 1,000 times. He is a long-time member of editorial boards and technical committees for top journals and conferences.

Awards and Honors

Dr. Sibai’s career has been recognized with numerous prestigious awards, including the IBM Shared University Research Award , IBM Faculty Award, nVIDIA Research Grant, and multiple Intel awards for innovation and performance excellence. He was named among IBC’s Top 100 Engineers and Educators and featured in Who’s Who in the World. He is also a distinguished speaker at international conferences and won the Best Research Project Award at UAE University. As a Senior IEEE Member and a member of organizations like PMI and ISC2, he is widely respected in both academia and industry.

Publication Top Notes
1. ParaEyes: The Smart Eye Bot System for Paralyzed Patients

  • Authors: M. Al Jaziri, G. Al Ali, H. Al Swailmeen, A.A. El-Moursy, F.N. Sibai

  • Journal: Journal of Circuits, Systems and Computers, 2025

  • Summary:
    This paper presents ParaEyes, a smart assistive bot system that enables paralyzed patients to interact with their environment using eye movements and blinking patterns. Leveraging computer vision, machine learning, and sensor fusion, the system facilitates tasks such as communication and device control. The research highlights its real-world applicability in neurorehabilitation and patient autonomy, especially for individuals with ALS or spinal cord injuries.

2. Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Platform: bioRxiv preprint, 2025.02.17.638660

  • Summary:
    This study extracts and preprocesses genomic data from The Cancer Genome Atlas (TCGA) using cBioPortal, creating machine-learning-ready datasets for the development of predictive models in personalized cancer treatment. It lays the foundation for using ML classifiers to assist oncologists in tailoring treatment plans based on genomic signatures, supporting precision oncology research.

3. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector

  • Authors: K. Ibrahim, D. Otaibi, F.N. Sibai

  • Journal: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025

  • Summary:
    This paper examines the reliability and vulnerability of AI-based plagiarism detection tools, particularly Turnitin’s AI Content Detector, in detecting content generated or modified by large language models (LLMs). The findings expose potential weaknesses in current detection algorithms and propose methods for enhancing AI classifier robustness in academic integrity systems.

4. Application of Ensemble Learning Models in Computer-Aided Diagnosis of Skin Diseases

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Journal: Neural Computing and Applications, 2025

  • Summary:
    This research evaluates the performance of ensemble learning models (such as Random Forest, XGBoost, and AdaBoost) for diagnosing skin diseases using clinical and dermoscopic image data. The models showed high accuracy, sensitivity, and specificity, demonstrating that ensemble-based approaches can significantly enhance AI-aided dermatological diagnostics.

5. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Journal: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper proposes a collaborative and adaptive cybersecurity framework designed for cognitive cities. It integrates machine learning algorithms and shared threat intelligence to enable smart urban infrastructure to defend against evolving cyber threats. The model improves resilience, detection, and adaptability in real-time, supporting safe digital environments in smart city ecosystems.

Conclusion

Assoc. Prof. Dr. Fadi Sibai is eminently qualified for the Best Researcher Award, standing out for his long-term research excellence, technological innovation, and strategic leadership in academic and applied AI domains. His work addresses societal challenges through AI, pushes forward smart infrastructure and cybersecurity, and contributes meaningfully to medical, ethical, and educational AI ecosystems.

His record of scholarship, innovation, mentorship, and global engagement makes him a deserving and ideal candidate for this prestigious honor. The award would not only recognize his decades of impact but also support his ongoing contributions to shaping the future of AI, education, and engineering.

Abdullah Abonamah | Machine Learning | Best Researcher Award

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Prof. Abdullah Abonamah | Machine Learning | Best Researcher Award

Research Affiliate at George Washington University, United States

Prof. Abdullah A. Abonamah is a distinguished academic and technology leader with over 40 years of expertise in artificial intelligence (AI), machine learning, and higher education. He currently serves as a Professor of Computing and AI at George Washington University and Chairman of AI Learning Solutions in the UAE. Dr. Abonamah has held key leadership roles, including President of the Abu Dhabi School of Management and CEO of the UAE Academy. He holds a Ph.D. in Computer Science from the Illinois Institute of Technology and has contributed extensively to AI research, focusing on AI integration in business processes, healthcare, smart cities, and cybersecurity. With over 10 patents in AI-driven systems and numerous scholarly publications, his work is widely cited in both academia and industry. Dr. Abonamah has secured over $1 million in research funding and has received several prestigious awards, including the Government of Abu Dhabi Recognition Award. His innovative projects have influenced AI and digital transformation strategies globally, and he has represented the UAE in international delegations. Prof. Abonamah’s leadership, combined with his groundbreaking research, positions him as a deserving candidate for the Best Researcher Award.

Professional Profile
Scopus
Google Scholar

Summary

Dr. Abdullah A. Abonamah is a highly accomplished academic, technology strategist, and business leader with over four decades of experience in computing, artificial intelligence, and higher education leadership. He currently serves as Professor of Computing and AI at George Washington University’s Environmental and Energy Management Institute and is Chairman of the Board of AI Learning Solutions in the UAE. Dr. Abonamah has held numerous executive, academic, and advisory roles, including President and Provost of the Abu Dhabi School of Management, and CEO of the UAE Academy. His work bridges academia, innovation, and industry with a focus on AI adoption, data strategy, and digital transformation.

Educational Background

Dr. Abonamah holds a Ph.D. in Computer Science from the Illinois Institute of Technology, USA, and an M.S. in Computer Science and Engineering from Wright State University. He earned his B.S. in Computer Science from the University of Dayton and later obtained an Executive Management Certificate from Yale School of Management. His multidisciplinary academic foundation has empowered his leadership in both technical research and institutional development.

Professional Experience

Dr. Abonamah has served in numerous high-impact roles, including:

  • Professor of Computing at Abu Dhabi School of Management (2007–2024)

  • Professor of IT at Zayed University (2000–2007)

  • Director of the Institute for Technological Innovation (Dubai Internet City)

  • Chair, AI Management Institute at ADSM

  • Business leader and strategist in several startups and research institutes
    In his leadership positions, he led major organizational transformations, managed multimillion-dollar budgets, implemented ERP and AI systems, developed academic programs, and fostered public-private partnerships. He also served as Dean, Program Director, and Assistant Dean in various institutions, ensuring accreditation and global standards compliance.

Research Interests

Dr. Abonamah’s research spans artificial intelligence, machine learning, cybersecurity, fault-tolerant computing, and innovation ecosystems. His recent work focuses on the integration of AI into business processes, human-centered machine learning, and strategic data governance. He is also involved in applied AI projects in healthcare, smart cities, and education technology.

Author Metrics

Dr. Abonamah has authored and co-authored dozens of journal articles, book chapters, and conference papers, many of which are indexed in Scopus, IEEE, and Web of Science. He holds multiple patents and intellectual property certificates for AI-driven systems, ERP modules, academic tools, and mobile apps. His scholarship includes both foundational theory and practical implementations, making his work highly cited in both academic and industry domains.

Awards and Honors

Dr. Abdullah A. Abonamah has been the recipient of numerous prestigious awards and recognitions throughout his distinguished career. He was honored with the Government of Abu Dhabi Recognition Award in 2017 for his outstanding contributions to higher education and institutional development. Over the years, he has secured multiple competitive research grants totaling more than $1 million, including major funding for the development of AI and cybersecurity programs by the Federal Authority for Identity, Citizenship, Customs & Port Security and the Emirates Academy for Identity and Citizenship. His innovative projects have led to the creation of several intellectual property-certified digital systems, earning formal recognition from the UAE Ministry of Economy, with over 10 patented and certified software applications in AI, ERP systems, and academic tools. Dr. Abonamah was also awarded the US State Department MEPI Grant for the Emirati Women’s Organizational Leadership Program and received the Microsoft Instructional Lab Grant and other major institutional grants for research labs and technology initiatives. Recognized for his leadership, he has represented the UAE on international delegations, including a technological mission to Japan, and has consistently been acknowledged for his impactful work in promoting innovation, entrepreneurship, and digital transformation in education and governance.

Publication Top Notes

1. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Published in: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper introduces a novel adaptive cybersecurity algorithm specifically designed for cognitive cities, which rely heavily on interconnected AI systems and IoT infrastructure. The algorithm leverages collaborative machine learning, enabling various smart subsystems to share threat intelligence and dynamically adjust defenses in real time. The model improves resilience, threat detection speed, and situational awareness, offering a scalable security solution for complex urban networks.

2. Managerial Insights for AI/ML Implementation: A Playbook for Successful Organizational Integration

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover Artificial Intelligence, 2024, Vol. 4(1), Article 22

  • Summary:
    This publication acts as a strategic guide for executives and IT leaders aiming to deploy AI and machine learning within organizations. It outlines a structured playbook, highlighting critical success factors, common pitfalls, change management practices, and technology readiness considerations. The work is grounded in case studies and offers a framework for bridging technical solutions with organizational goals.

3. Discover Artificial Intelligence

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover, 2024, Vol. 4, Article 22

  • Summary:
    This appears to be a companion piece or an editorialized version of the article above, with expanded commentary on AI governance, leadership roles, and ethical implementation frameworks. It emphasizes building institutional capability and fostering innovation culture for sustainable AI integration.

4. Wearable Sensor-Based Device for Predicting, Monitoring, and Controlling Epilepsy and Methods Thereof

  • Inventors: M.U. Tariq, A.A. Abonamah

  • Filing Number: US Patent App. 18/107,839

  • Filed in: 2023

  • Summary:
    This patent proposes a wearable biomedical device equipped with sensor arrays and AI algorithms for the real-time detection, prediction, and intervention of epileptic seizures. The system analyzes physiological data—such as ECG, EEG, and temperature signals—and uses machine learning to anticipate seizure events, offering alerts or therapeutic responses. It aims to enhance autonomous patient care and reduce medical emergencies, particularly in outpatient or home settings.

5. Artificial Intelligence Technologies and Platforms

  • Authors: M.U. Tariq, A. Abonamah, M. Poulin

  • Published in: Engineering Mathematics and Artificial Intelligence, 2023, pp. 211–226

  • Summary:
    This book chapter provides an in-depth analysis of leading AI platforms and ecosystems, such as TensorFlow, PyTorch, and Azure AI. It covers architecture, deployment strategies, and use cases across domains like healthcare, finance, and smart cities. The chapter emphasizes the selection criteria for AI tools, and how platform choices affect scalability, maintainability, and compliance in enterprise contexts.

Conclusion

Prof. Abdullah A. Abonamah is an outstanding and highly deserving candidate for the Best Researcher Award. His blend of academic scholarship, applied innovation, institutional leadership, and global impact positions him uniquely at the intersection of technology and societal advancement. His research addresses real-world challenges with AI-driven solutions, while his leadership roles have built enduring institutions and empowered future generations.

Given his contributions to AI research, higher education reform, cross-sectoral innovation, and IP development, Prof. Abonamah clearly meets and exceeds the criteria for this award. He is not only a prolific scholar but also a visionary leader and mentor, making him an ideal recipient of the Best Researcher Award.

Han Zhang | Network Security | Best Researcher Award

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Mr. Han Zhang | Network Security | Best Researcher Award

Associate Professor at Tsinghua University, China

Author Profile

Scopus

Google Scholar

Summary

Dr. Han Zhang is a Special Research Fellow and Doctoral Supervisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. With a strong foundation in computer science and network security, she has cultivated a career that bridges advanced research and practical innovation in cyberspace governance and network science. Her work spans interdisciplinary domains, driving impactful contributions in cybersecurity education and system-level network research. Committed to academic excellence and talent cultivation, Dr. Zhang is recognized for her mentorship and pioneering teaching reforms. She also actively leads collaborative international research, maintaining a strong presence in the global academic community.

Educational Background

Dr. Han Zhang earned her Ph.D. in Computer Science and Technology from Tsinghua University (2013.09–2018.07), under the supervision of Professor Xia Yin. During her doctoral studies, she was a visiting scholar at George Washington University (2016.10–2017.09), working with Prof. Lan Tian in the School of Electrical and Information Engineering. She holds a bachelor’s degree in Computer Science and Technology from Jilin University (2009.08–2013.06). Her academic training reflects a solid grounding in both theoretical and applied aspects of computer science, forming the basis for her later work in network security and systems research.

Professional Experience

Since March 2021, Dr. Zhang has served as a Special Research Fellow and Ph.D. advisor at the Institute for Network Sciences and Cyberspace, Tsinghua University. From July 2018 to March 2021, she was an Assistant Professor and Master’s Supervisor at the School of Cybersecurity, Beihang University. She has also led courses and supervised graduate research in programming and network security. Her roles have consistently involved curriculum reform, student mentoring, and interdisciplinary research collaboration. Dr. Zhang’s academic positions reflect her commitment to both foundational research and the cultivation of next-generation cybersecurity professionals.

Research Interests

Dr. Zhang’s research interests encompass network science, cyberspace governance, system security, and cybersecurity education. Her work integrates data-driven methodologies with system design to explore trust, resilience, and efficiency in networked systems. She is particularly focused on enhancing the security of critical infrastructure through intelligent algorithms and robust frameworks. Additionally, she investigates educational strategies for cultivating application-oriented cybersecurity talent. Her interdisciplinary perspective positions her at the intersection of theoretical innovation and practical deployment, contributing to the strategic evolution of secure and sustainable digital ecosystems.

Author Metrics

Dr. Han Zhang has published extensively in high-impact journals and conferences in the fields of computer science and network security. She has co-authored significant teaching reform papers, including in Industrial and Information Technology Education, where she explored curriculum innovation and cybersecurity talent development. Her academic work is accessible via NetSys Lab, and she has garnered increasing citations for both technical and pedagogical contributions. Her collaborative and first-author papers reflect a balanced academic profile, with a growing international scholarly influence in cybersecurity education and network systems research.

Awards and Honors

Throughout her academic career, Dr. Zhang has received multiple accolades for excellence in research, teaching, and innovation. As a Party member, she actively engages in academic leadership and mentorship, contributing to institutional and national education reforms. Her teaching reform initiatives have been recognized for their practical impact on developing high-caliber cybersecurity professionals. She has also led and participated in funded projects focused on network security and educational development. These honors reflect her sustained contributions to the advancement of both science and pedagogy in China’s evolving digital landscape.

Publication Top Notes

1. Centralized Network Utility Maximization with Accelerated Gradient Method

Authors: Y. Tian, Z. Wang, X. Yin, X. Shi, J. Yang, H. Zhang
Journal: IEEE Transactions on Networking
Year: 2025 (Forthcoming/Published)
Details: This paper presents a centralized algorithm using an accelerated gradient method for efficient network utility maximization, achieving faster convergence and scalable optimization for large-scale networks.

2. ACME++: A Secure Authorization Mechanism for ACME Clients in the Web PKI Ecosystem

Authors: T. Zhang, H. Zhang, Y. Wei, Y. Li, X. Shi, J. Wang, X. Yin
Conference: Proceedings of the ACM Web Conference (WWW)
Pages: 1058–1067
Year: 2025
Abstract: ACME++ strengthens the ACME protocol by introducing a novel, secure client authorization method within the Web PKI system, improving defense against client impersonation and replay attacks.

3. Poster: Scalable and Interpretable Multilayer Overlay Network Checking via Ensemble Verification

Authors: X. Liu, Y. Li, H. Zhang, X. Yin, X. Shi, Z. Wang, G. Ren, J. Yao
Conference: ACM SIGCOMM 2024 – Posters and Demos Track
Pages: 22–24
Year: 2024
Publisher: ACM
Description: This poster introduces an ensemble-based verification tool enabling scalable analysis and interpretability for multilayer overlay networks used in complex infrastructure setups.

4. Cost-efficient Flow Migration for SFC Dynamical Scheduling in Geo-distributed Clouds

Authors: W. Chen, Z. Wang, H. Zhang, X. Yin, X. Shi
Journal: Computer Networks
Volume: 249
Article Number: 110496
Year: 2024
Publisher: Elsevier
Abstract: This study introduces a dynamic, cost-optimized scheduling algorithm for service function chaining (SFC) across geographically distributed cloud environments, addressing performance and resource constraints.

5. ROV-GD: Improving the Measurement of ROV Deployment Using Graph Difference

Authors: J. He, Y. Li, H. Zhang, C. An, J. Wang
Conference: 2024 IEEE Symposium on Computers and Communications (ISCC)
Pages: 1–7
Year: 2024
Publisher: IEEE
Abstract: ROV-GD leverages graph-difference metrics to refine the measurement accuracy of Route Origin Validation (ROV) deployments, improving BGP routing security assessment.

Conclusion

Dr. Han Zhang exemplifies a modern cybersecurity researcher with a well-rounded profile in theoretical innovation, practical systems research, interdisciplinary integration, and educational reform. Her affiliation with Tsinghua University, impactful publications in IEEE and ACM, and her leadership in cybersecurity education firmly establish her as a highly deserving recipient of the Best Researcher Award in Network Security.

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

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Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Han Zhang – Data Security -Best Researcher Award

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 Han Zhang – Data Security-Best Researcher Award

Dr. Han Zhang distinguished academic and researcher in the field Data security.

🌐 Professional Profile

Educations📚📚📚

Han Zhang is a male PhD and Master Supervisor. He received his B.E. and M.S. degrees in software engineering from Wuhan University in 2007 and 2009, respectively, and his PhD degree in Computer Science from Strategic Support Force Information Engineering University, China, in 2020. He is a national graduate education evaluation and monitoring expert, a visiting scholar at the University of Ulster in the UK, a young backbone teacher at Zhengzhou University, and an excellent guidance teacher for innovation and entrepreneurship at Zhengzhou University.

Experience

Han Zhang’s main research achievements are substantial. In recent years, he has presided over four provincial and ministerial scientific research projects, two department-level scientific research projects, and one university-level scientific research funding plan. As the sub-project leader, he participated in one major science and technology special project in Henan Province, one major public welfare special project in Henan Province, and one major science and technology innovation project in Zhengzhou City. Additionally, as the main member, he contributed to one international cooperation project and three provincial and ministerial science and technology research projects. He has published more than 20 academic papers in well-known academic journals both domestically and internationally, such as Information Processing & Management, Information Sciences, Knowledge-Based Systems, Security and Communication Networks, CMC-Computers, Materials & Continua, Wireless Communications and Mobile Computing, and the Journal of Computer Research.

 

Research Focus

Knowledge Engineering, Application and Data Security, Information Content Security.

 

📝🔬Publications📝🔬

Chien-Hua Tsai – Information Security -Best Researcher Award

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

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

🌐 Professional Profile

Educations📚📚📚

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

Journals Published 

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

Areas of Research:

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

📝🔬Publications📝🔬

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

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

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

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

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

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

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

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

Erdiwansyah – Science and Technology – Best Researcher Award

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Erdiwansyah – Science and Technology – Best Researcher Award

Dr. Erdiwansyah  distinguished academic and researcher in the field Science and Technology. He has been involved in significant research projects, including the production of bio-coke from palm oil solid waste as a high-calorie and environmentally friendly fuel, a project spanning from 2022 to 2024. Additionally, he worked on developing biomass stove innovations using agricultural waste to fry chips in the Saree community of Aceh Besar.

 

🌐 Professional Profile

Educations📚📚📚

He holds a PhD in Renewable Energy and Technology from Universitas Syiah Kuala in Banda Aceh, Indonesia. He also earned a Master’s degree in Mechanical Engineering from the same institution. His academic journey began with a Bachelor’s degree from the Faculty of Engineering at Universitas Serambi Mekkah, also located in Banda Aceh, Indonesia.

Research Area

Renewable Energy, Biomass, Energy Conversions, Combustion, Biodiesel, Technology Renewable Energy.

📝🔬Publications📝🔬

Toong Hai Sam – Technology Management – Best Researcher Award

Posted on by ResearchW

Toong Hai Sam – Technology Management – Best Researcher Award

Prof. Toong Hai Sam distinguished academic and researcher in the field Technology Management. Sam’s illustrious career is marked by a series of commendable achievements and influential roles in the academic and professional arenas. His dedication to innovation and excellence is evident in his diverse experiences and contributions across various sectors and countries.

In December 2018, Sam was recognized as one of the winners of the prestigious ASEAN Young Talented Scientists award, representing Malaysia at the symposium in China. This accolade set the stage for a series of notable academic and professional engagements on a global scale.

 

🌐 Professional Profile

Educations📚📚📚

After completing his PhD, Sam joined INTI International University in August 2018 as a Senior Lecturer in the Faculty of Business, Communication, and Law. Within four months, he advanced to the role of Head of Program for the PhD in Management, DBA, and Australian Degree Transfer Program, establishing himself as an academic leader.

Sam’s entrepreneurial spirit and business expertise are further evidenced by his certification as an Alibaba E-commerce trainer, where he mentors young entrepreneurs in leveraging E-commerce. His active involvement with the Malaysian Oil Palm Council (MPOC) underscores his commitment to promoting awareness of the palm oil industry among Malaysian students.

 Academic Positions

Academic Positions: Sam has held numerous significant academic positions that underline his global impact:

  • Professor at Inti International University & Colleges: As a professor, Sam has been instrumental in advancing the institution’s educational mission.
  • Director of International Relationship & Collaboration Centre at Inti International University: In this role, he has fostered international partnerships and collaborations, enhancing the university’s global footprint.
  • Adjunct Professorships: His academic influence extends to several renowned institutions in China and Indonesia, including Yunnan College of Business Management, Hebei Finance University, Guizhou University, Moutai Institute, and Indonesia International Institute for Life Sciences. These roles highlight his expertise and the high regard in which he is held internationally.

Research and Consultancy:

Sam’s affiliations with esteemed research and academic institutions further demonstrate his commitment to the advancement of knowledge and innovation:

  • Global Academic and Research Collaboration Consultant at Universiti Tun Hussein Onn Malaysia
  • Distinguished Research Fellow and Director of Global Research Collaboration at Beijing Beiguang Biological Sciences Research Center
  • Deputy Director of Guizhou Contemporary and Efficient Agricultural Development Collaborative Innovation Center
  • Research Fellow at the Strategic Development Research Center of Karst Region, Guizhou, China
  • Senior Research Fellow at University of Creative Technology Chittagong, Bangladesh
  • Invited Guest Lecturer at Guilin University of Electronic Technology, Guilin Guangxi, China

Global Impact and Recognition:

In December 2018, Sam was honored as one of the winners of the ASEAN Young Talented Scientists award, representing Malaysia at the symposium in China. His global impact is further highlighted by his numerous academic positions and research affiliations worldwide, including:

  • Professor at Inti International University
  • Director of International Relationship & Collaboration Centre at Inti International University
  • Adjunct Professor at various institutions in China and Indonesia
  • Global Academic and Research Collaboration Consultant at Universiti Tun Hussein Onn Malaysia
  • Distinguished Research Fellow and Director of Global Research Collaboration at Beijing Beiguang Biological Sciences Research Center
  • Senior Corporate Consultant in Malaysia and China

Sam’s professional journey, marked by his strategic approach to integrating IoT and Big Data in farming operations, showcases his dedication to innovation and excellence. Actively engaged in facilitating international research activities, he continues to make significant contributions to teaching, consultancy, commercialization, and scholarly pursuits, shaping the creation and dissemination of knowledge on a global scale.

Early Career and Leadership:

In July 2010, Sam was invited by a leading manufacturer of precision turned components to serve as General Manager. In this role, he led a team of 100 workers, overseeing the entire operation in Batu Pahat and successfully expanding the company’s operations into Vietnam. Under his leadership, the company experienced substantial sales turnover growth and achieved ISO 14001 and ISO/TS16949 certifications, reflecting Sam’s commitment to quality and environmental management.

Focus on the Vietnamese Market:

In March 2011, Sam shifted his focus to the Vietnamese market, stepping down from his roles at Nano Revival Technology and Nano Garden Nursery after eight years of dedicated service. Despite facing initial challenges, he managed to double the sales turnover of both plants in 2011 through the implementation of efficient management practices. Sam continued to drive organizational success until his departure in 2013.

Academic Pursuits and Innovations:

With over nine years of experience in listed companies and more than 14 years in the business world, Sam embarked on an academic journey with full sponsorship from the Ministry Of Higher Education Malaysia (MOHE) for an Industrial PhD at University Tun Hussein Onn Malaysia (UTHM). Beginning in June 2013, his research focused on Biomass Renewable Energy, Agricultural Light Sports Aircraft, and Unmanned Aerial Vehicles (UAV) integrated with a Crop Dusting Device and smart farming management system utilizing IoT technology.

During his five-year industrial PhD studies, Sam developed a diverse skill set, becoming a pilot, light sports aircraft designer, lecturer, researcher, and inventor. He collaborated closely with UTHM, fostering partnerships between industries and university departments through endowments, product R&D collaboration, and knowledge-sharing seminars.

📝🔬Publications📝🔬

  • Inti International University: Nilai, Negeri Sembilan, MY

    2024-01-01 to present | Director (International Relationship & Collaboration Center)
    Employment

  • Moutai Institute: Renhuai, Guizhou, CN

    2023-11-01 to present | Adjunct Professor (Faculty of Management)
    Employment

  • INTI International University: Kampung Baharu Nilai, MY

    2023 to present | Professor (Faculty of Business and Communication)
    Employment

Rohit Kumar – Power System – Best Researcher Award

Posted on by ResearchW

Rohit Kumar – Power system – Best Researcher Award

Mr. Rohit Kumar distinguished academic and researcher in the field Power system.  He is currently pursuing a Ph.D. in Electrical Engineering at the Indian Institute of Technology (BHU) Varanasi. Before this, he obtained his Master’s degree from the Department of Electrical Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya University, Bhopal. His research endeavors have led to the publication of four peer-reviewed research articles focusing on power system dynamics and control. His work primarily revolves around the integration of energy storage and renewable sources into transmission networks, along with the design of wide-area damping controllers.

🌐 Professional Profiles

Educations📚📚📚

He pursued his academic journey with a Bachelor’s in Engineering from R.J.P.V, Bhopal, specializing in Electrical and Electronics Engineering, where he achieved an impressive 83.1%. Building upon this foundation, he completed his Masters in Engineering at R.J.P.V, Bhopal, with a focus on Power Systems, securing a commendable 80.2%. Driven by his passion for advancing his field, he embarked on a Ph.D. in Electrical Engineering at the esteemed Indian Institute of Technology (BHU) Varanasi in 2019. His proposed thesis, titled “A Robust Wide-Area Damping Control Scheme for Battery Energy Storage System/Wind Turbine System Integrated Power Networks to Mitigate Inter-Area Oscillations,” showcases his dedication to tackling complex challenges in power systems. Alongside his academic pursuits, he demonstrated consistent academic excellence, evidenced by his achievements in intermediate and high school, where he attained 73.6% and 62.7%, respectively, from the Bihar School Examination Board, Patna.

 

Research Interests

Power system dynamics and control for transmission system with integration of energy storage system and renewable energy source, robust control scheme-based wide area damping controller design for battery energy storage system and wind turbine system, FACTS devices and virtual synchronous generator application in power systems.

Internship

He has actively engaged in various positions of responsibility, demonstrating his commitment to both academia and practical learning. Notably, he served as a Teaching Assistant for several subjects at the Indian Institute of Technology (BHU) Varanasi, India. During the odd semester of 2019, he contributed as a Teaching Assistant for “Power System Protection and Switchgear,” and in the subsequent even semester of 2020, he took on the role for “Power Transmission & Distribution.” Continuing his involvement, he served as a Teaching Assistant for “Power System Analysis & Control” during the even semester of 2023 and for “Power System Simulation Lab” during the odd semester of the same year. Additionally, he gained valuable hands-on experience through a 15-day Industrial Training program at the Power Distribution Training Center in Bhopal, Madhya Pradesh. These experiences underscore his dedication to both theoretical education and practical application within the field of electrical engineering.

Workshop/Seminars/Conference/S.T.T.P. Attended

He has actively participated in various workshops and training programs to enhance his knowledge and skills in the field of electrical engineering. Noteworthy events include the “Workshop on Control Of Wind Energy Conversion System” organized by the Department of Electrical Engineering at IIT (BHU), as well as the training course on “Real Time Digital Simulator (R.T.D.S.)” conducted within the same department. Additionally, he attended a one-day “Faculty Development Program on Power System Design Analysis using DIgSILENT PowerFactory Software,” organized by M/s DELLSOFT Technologies Pvt. Ltd. in New Delhi. His commitment to staying updated with the latest advancements is further evidenced by his participation in the “17th National Power System Conference (NPSC-2012)” organized by the Department of Electrical Engineering at IIT (BHU). Furthermore, he has achieved success in the GATE Exam, qualifying in both 2016 and 2019, showcasing his proficiency and dedication in the field.

📝🔬Publications📝🔬

• Rohit Kumar, Soumya R. Mohanty, M.K. Verma, A robust damping control for
battery energy storage integrated power systems to mitigate inter-area oscillations, International Journal of Electrical Power & Energy Systems, Volume
157,2024,doi.org/10.1016/j.ijepes.2024.109885.

• Rohit Kumar, S. R. Mohanty & M. K. Verma, Robust Damping Control for Integrated Wind Turbine Power Networks During Low Inertia Condition, International Journal of Circuit Theory and Applications, 2024, doi:10.1002/cta.3991

• Rohit Kumar, S. R. Mohanty & M. K. Verma, Design and Optimal Location of
Power System Stabilizer in the Multi-Machine Power Network, IETE Journal of
Research, DOI: 10.1080/03772063.2023.2175056

• Rohit Kumar, S. R. Mohanty & M. K. Verma, “Alleviating Inter-Area Oscillations in Power Networks via Energy Storage System-Based Wide-Area Damping Controller.” Journal of Energy Storage (under review)