Loay Aladib | Information Sciences |Young Scientist Award

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Mr. Loay Aladib | Information Sciences |Young Scientist Award

PhD Research Scholar, University of Wollongong

Loay Aladib is a PhD Research Scholar at the University of Wollongong, Australia, specializing in Software Engineering and Artificial Intelligence. With 12+ years of experience, he has led software teams to build efficient, elegant solutions across diverse platforms. His core strength lies in blending practical software design with deep technical research. Loay is currently immersed in developing advanced frameworks that integrate Runtime Verification with stream processing systems like Apache Spark. His work ensures scalable, real-time monitoring of distributed systems, driving innovations in safety-critical applications such as IoT and smart cities. Adept in various languages, frameworks, and cloud platforms, Loay exemplifies the role of a modern software architect and researcher. His commitment to excellence, adaptability, and problem-solving mindset has positioned him at the forefront of next-generation computing solutions. Loay is not only a passionate coder but also a visionary problem solver working at the intersection of code, logic, and impact.

Profile

Scholar

🎓 Education 

 Loay Aladib is currently pursuing a PhD in Software Engineering and Artificial Intelligence at the University of Wollongong, focusing on real-time distributed systems and formal verification techniques. His doctoral research bridges theoretical concepts like Linear Temporal Logic with practical big data stream frameworks. Before this, Loay earned his bachelor’s degree in computer science/software engineering, followed by a postgraduate specialization (details not provided). His academic journey is driven by a desire to enhance software system reliability through intelligent automation and scalable architecture. Loay’s education is marked by continuous learning, technical proficiency, and interdisciplinary exploration, equipping him with the skills to address complex challenges in AI and software development. His PhD candidacy reflects his commitment to research excellence, innovation, and the application of formal methods in real-world computing environments. Through rigorous academic training and practical insight, Loay has developed a unique profile combining academic depth with industry-savvy problem-solving capabilities.

💼 Experience 

 With 12+ years of robust professional experience, Loay Aladib has led software development teams across various tech sectors, delivering high-performance, scalable solutions tailored to business and user needs. His role has spanned full-stack development, system architecture, and collaborative product engineering. Loay consistently combines technical depth with strategic vision, enabling teams to innovate rapidly while maintaining code quality and performance. Beyond corporate roles, his current work as a PhD researcher involves designing AI-integrated monitoring systems for distributed data streams, showcasing a unique fusion of industry expertise with academic rigor. Loay is proficient in cloud platforms, diverse programming languages, and modern software engineering practices. He brings creativity and adaptability to every project, turning technical constraints into scalable solutions. His leadership experience includes mentoring junior developers, managing cross-functional teams, and aligning technical goals with organizational objectives. Loay thrives in dynamic, challenge-driven environments, always pushing boundaries in software reliability and intelligent system design.

🏅 Awards and Honors 

 Loay Aladib has been nominated for prestigious awards such as the Best Researcher Award and Young Scientist Award in recognition of his impactful contributions to the intersection of software engineering and artificial intelligence. While specific award wins are yet to be listed, his nomination itself speaks volumes about the originality, utility, and future relevance of his work. His real-time verification framework for Apache Spark has received positive attention from peers and professionals alike for enhancing system reliability in distributed data environments. Loay’s IEEE membership also signifies his recognition and affiliation within a global community of innovators. His work is not just academic but designed for high-impact real-world applications, particularly in areas like smart cities, IoT, and industrial automation. These contributions underscore his potential for receiving honors in innovation, research excellence, and technology leadership. With several publications and ongoing collaborations, Loay stands out as a rising star in next-gen computing research.

🔬 Research Focus 

 Loay Aladib’s research is centered on enhancing real-time reliability in distributed systems using Runtime Verification (RV) and Linear Temporal Logic (LTL). His doctoral work proposes a novel runtime framework for monitoring LTL properties in streaming environments like Apache Spark, ensuring accurate real-time detection of safety and liveness violations in complex data flows. The research bridges formal verification with practical implementation, introducing scalable and reusable LTL patterns for system developers. A key application includes real-time weather data analysis, where his model detected anomalies in temperature and wind speed conditions efficiently. Loay’s research aims to simplify the adoption of formal methods in industry by making verification tools modular, performant, and adaptable across platforms like Apache Flink and beyond. This work has high potential for applications in IoT, smart infrastructure, and mission-critical industrial monitoring. By aligning correctness with efficiency, Loay’s focus sets a new standard in stream-processing reliability and system assurance.

✅ Conclusion

Loay Aladib is a strong and promising candidate for the Young Scientist Award, especially given his interdisciplinary expertise, real-world applicability of his research, and dedication to bridging theoretical rigor with scalable implementation. While there is scope for academic profile expansion through more citations, publications, and collaborations, his current trajectory and innovations reflect significant potential. Recognizing his work through this award would not only be a timely encouragement but also propel further impactful contributions in AI-driven software engineering and distributed systems.

Publication

Author: Aladib, L. & Lee, S.P.
Title: Pattern Detection and Design Rationale Traceability: An Integrated Approach to Software Design Quality
Year: 2018
Citations: 10

Author: Aladib, L.
Title: Case Study of Object Constraints Language (OCL) Tools
Year: 2014
Citations: 3

Author: Aladib, L., Su, G., & Yang, J.
Title: Real-Time Monitoring of LTL Properties in Distributed Stream Processing Applications
Year: 2025
Citations: 0

Author: Aladib, L.
Title: Detecting Design Pattern and Tracing Its Design Rationale
Year: 2017
Citations: 0

Author: Loay, A.
Title: Detecting Design Pattern and Tracing Its Design Rationale / Loay Aladib
Year: 2017
Citations: 0

 

Author: Aladib, L.
Title: Task Management System (TMS) for University of Malaya Research Student
Year: 2015
Citations: 0

Author: Aladib, L.
Title: Case Study of Student Registration System (SRS) Domain
Year: 2015
Citations: 0

Author: Aladib, L., Fey, C.H., Ling, S.T.C., & Thamutharam, Y.N.
Title: Case Study of Online Properties Auction System (OPAS) Domain
Year: 2014
Citations: 0

Author: Aladib, L., Ling, S.T.C., Thamutharam, Y.N., Rosli, M.N. bin, & Ridzuan, E.A.
Title: Software Requirements Specification (SRS) Web Publishing System Domain
Year: 2014
Citations: 0

Didi Rosiyadi| Cybersecurity| Best Researcher Award

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Prof. Didi Rosiyadi| Cybersecurity| Best Researcher Award 

Research Professor at Badan Riset dan Inovasi Nasional (BRIN), Indonesia.

Prof. Dr. Didi Rosiyadi is a distinguished Research Professor at the National Research and Innovation Agency (BRIN), Indonesia, specializing in artificial intelligence and cybersecurity. He earned his Ph.D. from NTUST, Taiwan, and has held leadership roles in prestigious research institutions. An esteemed educator and researcher, he has guided numerous postgraduate students and contributed significantly to computer science. Fluent in multiple languages, he actively collaborates globally and has received numerous grants for international research initiatives. Prof. Didi is also a prolific academic, serving as an editor and reviewer for various journals.

Profile

Scholar

Scopus

Education 🎓

Ph.D.: Computer Science and Information Engineering, NTUST, Taiwan (2008–2013). Master’s: Computer Science, University of Gadjah Mada, Indonesia (2001–2003). Bachelor’s: Computer Science, STMIK Bandung, Indonesia (1994–1999).

Experience 🏅

Research Professor: BRIN, 2023–Present. Lecturer: Various Indonesian universities (1999–Present). Leadership: Acting Director/Head, BRIN and LIPI (2016–2022). Editorial Roles: Chief Editor, Informatics and INKOM Journals.

Awards and Honors 🏆

Grants: BRIN-SIAT (China), BRIN-NTUST (Taiwan), LIPI Initiatives. Workshops: Asean IVO (Brunei), DAAD Summer School (Indonesia), CERN (Switzerland). Postdoctoral Programs: NTUST, Taiwan (2015, 2018). Global Collaborations: Mobility programs in Croatia, Thailand, and Geneva.

Research Focus 🔍

Domains: Artificial Intelligence, Cybersecurity, Data Security, and Informatics. Specializations: Measurement & indicators in technology and innovation. Global Research: Collaborations with institutions in Taiwan, Thailand, and Switzerland.

Conclusion

Prof. Dr. Didi Rosiyadi’s exemplary career, marked by leadership, global collaboration, and research excellence, positions him as a compelling nominee for the Best Researcher Award. By addressing minor gaps in publication impact and measurable leadership outcomes, he can further solidify his status as a top-tier candidate for this prestigious recognition.

Publication

  1. “A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling”
    • Year: 2025
    • Authors: Farfoura, M.E., Mashal, I., Alkhatib, A., Batyha, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “Privacy-preserving reservation model for public facilities based on public Blockchain”
    • Year: 2024
    • Authors: Basuki, A.I., Rosiyadi, D., Susanto, H., Setiawan, I., Salim, T.I.
    • Citations: 0

 

  1. “A Low Complexity ML-Based Methods for Malware Classification”
    • Year: 2024
    • Authors: Farfoura, M.E., Alkhatib, A., Alsekait, D.M., Rosiyadi, D., AbdElminaam, D.S.
    • Citations: 0

 

  1. “Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service”
    • Year: 2023
    • Authors: Rosiyadi, D., Basuki, A.I., Ramdhani, T.I., Susanto, H., Siregar, Y.H.
    • Citations: 3

 

  1. “Securing the Privacy of Transactions Using Blockchain: Swap Battery Framework for Massive Subsidy Electric Motorcycle in Jakarta”
    • Year: 2024
    • Authors: Santoso, T.M., Nidya Neyman, S., Rosiyadi, D., Sahreza, Y., Khunaifi, A.
    • Citations: 0

 

  1. “Network Flow-Based Dataset Generator Based on OpenFlow SDN”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Haris, A.I., Taufik Yuniantoro, R.M., Rosiyadi, D.
    • Citations: 0

 

  1. “A Novel Deep Learning Approach Featuring Graph-Based Algorithm for Cell Segmentation and Tracking”
    • Year: 2023
    • Authors: Zhao, K., Niyogisubizo, J., Xiao, L., Rosiyadi, D., Wei, Y.
    • Citations: 1

 

  1. “BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access”
    • Year: 2023
    • Authors: Sidiq, M.F., Basuki, A.I., Ramdhani, T.I., Susanto, H., Salim, T.I.
    • Citations: 0

 

  1. “Accelerating Encrypted Watermarking using Wavelet Transform and CKKS Homomorphic Encryption”
    • Year: 2022
    • Authors: Basuki, A., Setiawan, I., Rosiyadi, D., Ramdhani, T.I., Susanto, H.
    • Citations: 0

 

  1. “Improving Efficiency on BFV-based Encrypted Watermarking using Hadamard Product Decomposition”
    • Year: 2022
    • Authors: Basuki, A.I., Setiawan, I., Rosiyadi, D.
    • Citations: 2

Alaa Ali S Almohanna | Information Technology | Best Researcher Award

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Dr. Alaa Ali S Almohanna | Information Technology | Best Researcher Award

Dr at University of Wollongong, Australia

Alaa Almohanna is an early-career researcher with a PhD in Computing and Information Technology from the University of Wollongong, Australia. His expertise lies in Artificial Intelligence (AI), persuasive technology, and health informatics. Alaa is passionate about using AI to improve healthcare outcomes and mitigate bias in big data. As a researcher and teacher, he contributes to projects that promote equity in healthcare AI and fosters innovation in tech-driven healthcare solutions. He is committed to advancing knowledge and creating practical solutions to complex healthcare challenges.

Profile

Scopus

Orcid

Scholar

🎓 Education

Alaa holds a PhD in Computing and Information Technology (2024) from the University of Wollongong, Australia, where he also completed his MSc in Computer Science, Software Engineering (2015). He earned his Bachelor’s in Computer Science and Engineering (2008) from Taibah University, Saudi Arabia. Alaa’s academic journey reflects a strong foundation in computing, software engineering, and health-related technologies, preparing him for impactful research in the field of AI and health informatics.

💼 Experience

Alaa has worked as an Associate Researcher and Research Assistant at the University of Wollongong, contributing to projects focused on AI in healthcare. He has also been a part-time teaching staff member, developing innovative content and fostering inclusive learning environments. His research has involved operationalizing diversity in healthcare datasets and creating health-tech policy recommendations. He has worked on AI-related healthcare projects for the Australian Commission on Safety and Quality in Health Care, significantly impacting health governance.

🏆 Awards and Honors

Alaa received the Best Paper Award at the 18th International Conference on Persuasive Technology (PERSUASIVE 2023) for his exceptional research in persuasive technology. He also earned High Distinction in research training skills subjects and received recognition for his research contributions to AI in healthcare. Alaa’s dedication to advancing the field of health informatics and AI has been acknowledged by peers and institutions alike, further highlighting his commitment to academic excellence and research innovation.

🔬 Research Focus

Alaa’s research focuses on AI and persuasive technology, particularly in healthcare. He aims to address issues of data diversity and bias in healthcare AI systems. His studies include the development of mHealth apps to promote breastfeeding and healthcare decision-making. Alaa’s work extends to evaluating user experiences, promoting equitable AI, and contributing to healthcare policy development. His ongoing research explores how AI can improve patient outcomes while minimizing biases and ensuring fairness in healthcare delivery systems.

Conclusion

Alaa Almohanna is a highly capable and innovative researcher with a demonstrated track record of excellence in both research and teaching. His contributions to AI in healthcare, along with his recognition through prestigious awards, position him as a strong contender for the Best Researcher Award. His continued focus on operationalizing diversity and improving healthcare technologies promises to create a lasting impact on the field. With a potential for broader collaboration and further pedagogical development, Almohanna is poised for significant academic and professional growth.

📚Publications 

  1. Effectiveness of internet-based electronic technology interventions on breastfeeding outcomes: systematic review
    • Journal: Journal of Medical Internet Research
    • Date: 2020
    • DOI: e17361
    • Authors: AA Almohanna, KT Win, S Meedya

 

  1. Design and content validation of an instrument measuring user perception of the persuasive design principles in a breastfeeding mHealth app: A modified Delphi study
    • Journal: International Journal of Medical Informatics
    • Date: 2022
    • DOI: 104789
    • Authors: AAS Almohanna, KT Win, S Meedya, E Vlahu-Gjorgievska

 

  1. A study of women’s perceptions and opinions of a persuasive breastfeeding mHealth app
    • Conference: International Conference on Persuasive Technology
    • Date: 2023
    • Pages: 142-157
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Exploring User Experiences with a Persuasive mHealth App for Breastfeeding: An Empirical Investigation
    • Journal: International Journal of Human–Computer Interaction
    • Date: 2024
    • Pages: 1-18
    • Authors: AAS Almohanna, S Meedya, E Vlahu-Gjorgievska, KT Win

 

  1. Operationalising data diversity for equitable artificial intelligence: A scoping review of health governance frameworks
    • Event: The Australasian Association of Bioethics and Health Law (AABHL) 2024 Conference
    • Date: 2024
    • Authors: AAS Almohanna, KT Win, AN Aguirre, YSJ Aquino

 

  1. Literature Review and Environmental Scan Report: AI Implementation in Hospitals: Legislation, Policy, Guidelines and Principles, and Evidence about Quality and Safety
    • Source: Australian Commission on Safety and Quality in Health Care
    • Date: 2024
    • Authors: F Magrabi, L Bates, K Brooke-Cowden, T Jayawardena, A Wang

 

  1. Exploring Persuasive System Design Features and Users’ Perceptions of an mHealth Breastfeeding App: A Mixed-Method Study
    • Date: 2024
    • Author: AAS Almohanna

 

Huizhi Tang | Communication Engineering | Best Researcher Award

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Dr. Huizhi Tang | Communication Engineering | Best Researcher Award

Dr at Donghua University, China

🌟 Huizhi Tang is a dedicated PhD student in Information and Communication Engineering at Donghua University, specializing in routing protocols for flying ad hoc networks and privacy protection for vehicle ad hoc networks.  She holds a Master’s degree in Information Science and Technology from Donghua University and a Bachelor’s degree in Communications Engineering from Huaibei Normal University.  Known for her hardworking and responsible nature, Huizhi thrives in team environments and enjoys exploring new fields and traveling. She is passionate about developing innovative communication solutions, particularly in the fields of drone and vehicle networks. 🌍

 

Profile

Scopus

Education 🎓

 Huizhi Tang completed her Bachelor’s degree in Communications Engineering from Huaibei Normal University (2017-2021).  She then pursued a Master’s degree in Information Science and Technology with a focus on image processing for drones at Donghua University (2021-2022).  Currently, she is in the second year of her PhD in Information and Communication Engineering at Donghua University, focusing on routing protocols for flying ad hoc networks.

Experience 🧑‍🏫

Huizhi Tang interned at Sensing Future Technology Co., Ltd., working on hardware welding and testing for a radar speed measurement project during her school internship.  Her experience has equipped her with practical skills in the field of communications and hardware testing. She is currently focused on her PhD research, working to advance routing protocols for flying ad hoc networks.

Awards and Honors 🏆

Huizhi has earned several accolades, including the provincial first prize in the “Datang Cup” during the 7th National Mobile Communication 5G Technology Competition.  She also won provincial third prizes in both the “The First Anhui Provincial College Student Transportation Science and Technology Competition” and the “National College Student Electronic Technology Competition” (Excellence Award).  Huizhi received an Excellence Award in the National Undergraduate Mathematical Modeling Competition and the “Start-up Automation Cup.” She holds a utility model patent for “An anti-fall buffer device for elevators.”

Research Focus 🔍

 Huizhi’s research focuses on routing protocols for flying ad hoc networks, with an emphasis on optimizing communication in dynamic environments.  Her work also explores privacy protection for vehicle ad hoc networks.  She has contributed articles to prestigious journals, including “Vehicular Communications” and IEEE journals on intelligent transportation systems and IoT.  Her research aims to enhance communication efficiency and security in ad hoc networks, particularly for drones and vehicles.

Conclusion ✅

Huizhi Tang is a promising and capable researcher with a strong academic foundation, a track record of high-quality publications, and innovative research in key areas of modern communication networks. Her research on flying ad hoc networks and vehicle-to-infrastructure communication is timely and impactful. With her achievements in national competitions and her published works, she has demonstrated both academic excellence and practical application. By expanding her research visibility through more international collaborations and high-impact publications, and focusing on real-world implementations of her research, Huizhi has the potential to become a recognized leader in the field of information and communication engineering. She is a strong contender for the Best Researcher Award, given her academic excellence, awards, and innovative contributions.

 

Publications 📚

  • “Blockchain-based Secure Routing Algorithm with Accumulating Trust in VANETs”
    • Conference Paper in Procedia Computer Science
    • Volume: 224, Pages 44–51
    • Year: 2023
    • Authors: Liu, M.; Tang, H.; Li, D.
    • Citations: 1

 

  • “Research on Siamese Object Tracking Algorithm Based on Knowledge Distillation in Marine Environment”
    • Article in IEEE Access
    • Volume: 11, Pages 50781–50793
    • Year: 2023
    • Authors: Zhang, Y.; Lin, Q.; Tang, H.; Li, Y.
    • Citations: 1

 

Abhisek Banerjee | Cybersecurity | Best Researcher Award

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Mr. Abhisek Banerjee | Cybersecurity | Best Researcher Award

Mr at Indian Institute of Information Technology India

Abhisek Banerjee is a Lead Technical Architect with over 19 years of IT experience, specializing in AI, Cloud Security, Digital Transformation, and Application Integration. He is currently a PhD scholar at the Indian Institute of Information Technology, Kalyani, focusing on Gen AI-based security solutions. With deep expertise in cloud platforms (Oracle Cloud, AWS, Azure), he has led numerous enterprise-level digital transformation projects, integrating cutting-edge technologies like Langchain, Hugging Face, TensorFlow, and Keras to drive business innovation. His work emphasizes enhancing operational efficiency, securing data, and mitigating security vulnerabilities in multi-cloud environments.

Profile

Scopus

 

Education 🎓

PhD (Pursuing) – Indian Institute of Information Technology, Kalyani, India. ME (IT – Software Engineering) – Jadavpur University, 2005, 81.6%. BTech (Electronics & Telecom Engineering) – University of Kalyani, 2003, 81.4%. Higher Secondary (12th) – R.K.M.V.C.College, Rahara [WBBHSC], 1999, 85%.; Secondary (10th) – R.K.M. Boys’ Home High School, Rahara [WBBSE], 1997, 90.3%

Experience 🧑‍🏫

With over 19 years of experience, Abhisek Banerjee has handled large-scale digital transformation initiatives, focusing on multi-cloud environments (Oracle Cloud, AWS, Azure). He has led projects in application modernization, data integration, and cloud security, architecting solutions using cutting-edge technologies such as Langchain, Hugging Face, TensorFlow, and Keras. He has engineered seamless data integration frameworks, API-led connectivity, and cloud-native security solutions, ensuring compliance and data protection. Additionally, Abhisek has worked on the design of microservices, DevOps automation, and advanced machine learning models for cloud security. His contributions include deploying robust data privacy measures and threat detection frameworks across cloud platforms.

Awards and Honors 🏆

Research Excellence Award (GEU, DDN) in 2015 for outstanding research contributions. Early Career Research Award from the Science and Engineering Research Board (SERB), 2017. DST Travel Grant (2012) to attend an international conference in Pittsburgh, USA. Best Paper Presentation Award at TriboIndia-2023 Conference, NIT Srinagar. GUCOST and DTE Funding for workshops on cloud technologies and security. Membership in the International Association of Advanced Materials (IAAM) for five years.

Research Focus 🔍

Abhisek’s research focuses on cloud security vulnerabilities, with a specific interest in the detection and remediation of covert malware attacks using machine learning and deep learning techniques. His work integrates Generative AI, CNN, Vision Transformer, and GAN models to address threats like steganography-based backdoor attacks in cloud environments. By utilizing Computer Vision techniques and AI-driven models, he aims to develop intelligent security solutions that can proactively identify and neutralize security threats. Abhisek’s current projects involve training custom AI models for threat detection and deploying them within multi-cloud architectures to ensure data integrity and privacy. His research has the potential to revolutionize cybersecurity strategies in cloud and IoT ecosystems.

Conclusion ✅

This individual demonstrates significant research excellence, particularly in Metallurgical & Materials Engineering, with notable contributions recognized by both national and international bodies. Their impressive list of awards, research experience, and funding achievements make them a strong contender for the Best Researcher Award. By expanding their research collaborations, improving visibility in high-impact journals, and engaging more publicly in research discourse, they can further enhance their profile and continue making substantial contributions to their field.

Publications 📚

  • “A Study on Multivariable Process Control Using Message Passing Across Embedded Controllers”
    • Journal: ISA Transactions
    • Volume: 46(2), Pages 247–253
    • Year: 2007
    • Authors: Das, M.; Banerjee, A.; Ghosh, R.; Chandra, A.K.; Gupta, A.
    • Citations: 6

 

  • “A Study on Hardware-in-Loop Simulation with Embedded Controllers Using TCP/IP and UDP”
    • Conference: 3rd International Conference on Computing, Communications and Control Technologies (CCCT 2005)
    • Volume: 3, Pages 103–108
    • Year: 2005
    • Authors: Banerjee, A.; Das, M.; Ghosh, R.; Balasubramanian, R.; Gupta, A.
    • Citations: 1

 

Xian Guo | Cryptography | Best Researcher Award

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Prof. Xian Guo | Cryptography | Best Researcher Award

Professor at Lanzhou University of Technology, China

Guo Xian (郭显) is an Associate Professor at Lanzhou University of Technology, China. Guo specializes in computer science and control theory. With a career spanning over two decades, he has contributed significantly to mobile ad hoc networks, security protocols, and intelligent systems. Guo has published numerous papers in renowned journals and participated in multiple international conferences, establishing himself as a key figure in his field. He is also an active member of the Association for Computing Machinery (ACM) and the China Computer Federation (CCF).

Profile

Scopus

Education 🎓

Guo Xian holds a Ph.D. in Control Theory and Control Engineering from Lanzhou University of Technology (2011), where he researched secure routing in mobile ad hoc networks. He earned his Master’s in Computer Science from the same university (2009), focusing on secure routing protocols for mobile networks. Guo’s academic journey began at Northwest Normal University, where he received his Bachelor’s in Mathematics (1997).

Experience 🧑‍🏫

Since 2013, Guo Xian has been an Associate Professor at Lanzhou University of Technology, where he teaches and conducts research in computer science. Prior to this, he worked at Lanzhou University of Arts and Science (formerly Gansu Union University) for over 15 years, developing expertise in secure routing protocols and mobile network security. His academic career has also involved supervising graduate students and contributing to research projects in security mechanisms and network design.

Awards and Honors 🏆

Guo Xian is a member of the Association for Computing Machinery (ACM) and the China Computer Federation (CCF). He has been recognized for his contributions to computer science and secure network research. Notably, his work has been published in leading journals, and he has received several accolades for his research on secure routing protocols. His expertise continues to be recognized both domestically and internationally.

Research Focus 🔍

Guo Xian’s research interests lie in mobile ad hoc networks (MANETs), security protocols, and intelligent systems. His work focuses on developing secure routing techniques for mobile networks, content-based systems, and privacy-aware forwarding mechanisms. Guo has also explored the integration of blockchain with software-defined networking, contributing significantly to the field’s security and privacy. His ongoing research continues to shape future advancements in these areas.

Conclusion 📍

Dr. Guo Xian is a highly accomplished researcher with significant contributions to network security, privacy-preserving techniques, and secure routing protocols. His deep expertise and consistent publication record make him a strong contender for the Best Researcher Award. By further expanding his interdisciplinary reach and fostering international collaborations, Dr. Xian could enhance his research’s global impact and recognition.

Publications 📚

  • “Blockchain-cloud privacy-enhanced distributed industrial data trading based on verifiable credentials”
    • Authors: Fang, J., Feng, T., Guo, X., Ma, R., Lu, Y.
    • Journal: Journal of Cloud Computing, 2024, 13(1), 30
    • DOI: 10.1186/s13677-024-00306-6
    • Citations: 4

 

  • “DBCPCA: Double-layer blockchain-assisted conditional privacy-preserving cross-domain authentication for VANETs”
    • Authors: Guo, X., Lu, X., Jiang, Y., Fang, J., Zhang, D.
    • Journal: Ad Hoc Networks, 2024, 163, 103600
    • Citations: 0

 

  • “A Privacy-preserving Self-Sovereign Identity Scheme for Vehicular Ad hoc Networks”
    • Authors: Guo, X., Yuan, J., Feng, T., Fang, J., Wang, J.
    • Journal: Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46(7), pp. 2783–2792
    • Citations: 0

 

  • “A Practical and UC-Secure Decentralized Key Management and Authentication Scheme Based on Blockchain for VNDN”
    • Authors: Guo, X., Almadhehagi, S., Feng, T., Jiang, Y., Fang, J.
    • Journal: Computer Science and Information Systems, 2024, 21(3), pp. 725–757
    • Citations: 0

 

  • “Privacy-Preserving k-Nearest Neighbor Classification over Malicious Participants in Outsourced Cloud Environments”
    • Authors: Guo, X., Li, Y., Jiang, Y., Wang, J., Fang, J.
    • Journal: Cryptography, 2023, 7(4), 59
    • Citations: 0

 

  • “Privacy preserving multi-classification LR scheme for data quality”
    • Authors: Laicheng, C., Wentao, W., Tao, F., Xian, G.
    • Journal: Xi’an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2023, 50(5), pp. 188–198
    • Citations: 0

 

  • “CPPABK: Conditional privacy-preserving authentication scheme for VANETs based on the key derivation algorithm”
    • Authors: Wang, Y., Guo, X.
    • Journal: International Journal of Security and Networks, 2023, 18(4), pp. 199–212
    • Citations: 0

 

  • “An intelligent zero trust secure framework for software defined networking”
    • Authors: Guo, X., Xian, H., Feng, T., Jiang, Y., Zhang, D.
    • Journal: PeerJ Computer Science, 2023, 9, e1674
    • Citations: 0

 

  • “Homomorphic Encryption Based Privacy-Aware Intelligent Forwarding Mechanism for NDN-VANET”
    • Authors: Guo, X., Wang, B., Jiang, Y., Zhang, D., Cao, L.
    • Journal: Computer Science and Information Systems, 2023, 29(1)
    • Citations: 1

 

  • “Efficient privacy-protection scheme for distributed machine learning against collusion attack”
    • Authors: Cao, L., Wu, Q., Wu, R., Guo, X.
    • Journal: Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2022, 50(5), pp. 39–45
    • Citations: 0

 

Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

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Dr. Prasanna Kumar G | Ubiquitous Networks | Excellence in Research

Dr Prasanna Kumar G The National Institute of Engineering India

Dr. Prasanna Kumar G has made substantial contributions to the fields of cybersecurity and ubiquitous networks through a diverse range of publications and research activities. His scholarly work spans several key areas including machine learning in cybersecurity, IoT-based networking solutions, and advanced network models for seamless connectivity.

scholar

Academic History 🎓

Ph.D. in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2023).M.Tech in Networking and Internet Engineering, Visvesvaraya Technological University, Sri Jayachamarajendra College of Engineering, Mysore (2011) – 80.80%.Bachelor’s in Computer Science and Engineering, Visvesvaraya Technological University, Coorg Institute of Technology, Ponnampet (2009) – 58.14%.PUC, Karnataka PU Board, Sarada Vilas PU College, Mysore (2005) – 62.00%.S.S.L.C., Karnataka Secondary Education Board, Sadvidya High School, Mysore (2003) – 76.00%.

Technical Skills 🛠️

Programming Languages: C, C++, Java, PHP, C#.Web Technologies: HTML, CSS, JavaScript, PHP.Operating Systems: Windows, Linux.Database Management: MySQL.Scripting: Shell Script

Projects and Patents 🏗️

M.Tech Project: “Simulation of S-Bus Protocol Devices” – Development and component testing..Patent 1: “Smart Navigation Stick for the Visually Impaired” (Design No. 6295943).Patent 2: “AI-Based Smart Glasses for Visually Impaired” (Application No. 399870-001).

Training and Workshops 🧑‍🏫

Organized and attended various workshops on Python Programming, IoT, Smart Grid Technologies, Network Technologies, and Business Intelligence.

Achievements 🏅

Guided projects that won awards, such as 1st prize in IEEE Project Expo 2023 and Best Paper Award in NCEIS-2019.

Publication

  • Introduction to Cyber Security
    Authors: S. Jadey, S.C. Girish, K. Raghavendra, H.R. Srinidhi, K.M. Anilkumar
    Book: Methods, Implementation, and Application of Cyber Security Intelligence and Analytics
    Year: 2022

 

  • NLADSS: Design of Connectivity as a Service (CaaS) Model using Node-Level Augmentation & Dynamic Sleep Scheduling for Heterogeneous Wireless Network Handoffs
    Author: P.K. Gurumallu
    Journal: International Journal of Intelligent Engineering & Systems
    Volume: 15 (5)
    Year: 2022

 

  • Machine Learning in Cybersecurity: A Comprehensive Survey of Data Breach Detection, Cyber-Attack Prevention, and Fraud Detection
    Authors: P. Kumar, D.Y. Gowda, A.M. Prakash
    Book: Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security
    Year: 2024

 

  • An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: International Journal of Information Technology and Computer Science (IJITCS)
    Volume: 15, Pages 15-25
    Year: 2023

 

  • A Novel Approach by Integrating Dynamic Network Selection and Security Measures to Improve Seamless Connectivity in Ubiquitous Networks
    Authors: P. Kumar G, S. N., R. M. B., S. J., S. B. S., D. Y., M. K. B.
    Journal: International Journal of Wireless and Microwave Technologies (IJWMT)
    Volume: 14 (1)
    Year: 2024

 

  • A Metaheuristic Handover Model Using Network Augmentation and Game Theory for Seamless Connectivity in Heterogeneous Networks
    Authors: G. Prasanna Kumar, N. Shankaraiah
    Journal: Wireless Personal Communications
    Volume: 134 (1), Pages 133-150
    Year: 2024

 

  • Basics of Healthcare Informatics
    Authors: J. Sudeep, M. Goutham, G. Prasannakumar, K. Raghavendra, S.C. Girish
    Book: Intelligent Systems in Healthcare and Disease Identification using Data Science
    Year: 2023

 

 

Conclusion:

Dr. Prasanna Kumar G’s body of work reflects a deep engagement with both theoretical and practical aspects of cybersecurity and network engineering. His research not only contributes to the academic community but also offers practical solutions and frameworks applicable to real-world problems. His innovative approaches to network design, security measures, and machine learning applications are indicative of a forward-thinking researcher dedicated to enhancing technological and scientific understanding.

 

 

Abdallah Houcheimi | Agronomy | Best Researcher Award

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Mr. Abdallah Houcheimi | Agronomy | Best Researcher Award

 

Mr at Abo Akademi University Finland

University instructor and researcher in information systems specializing in Data Management, E-Commerce, Knowledge Management, Business Intelligence, Supply Chain, and Operations Management. Currently pursuing a D.Sc. in Information Systems at Åbo Akademi University (ÅAU), focusing on e-commerce, decision analytics, and artificial intelligence solutions for business domains.

profile

Orcid

📚 Education

D.Sc. Information Systems (expected October 2024) Åbo Akademi University (ÅAU) – Turku, Finland, Master of Business Administration – International Business (Merit), 2015 University of Liverpool – United Kingdom, B.S. in Information Technology, 2006 Lebanese International University – Lebanon

🎓 Teaching & Professional Experience

2023 – Present Åbo Akademi University (ÅAU) Full-time doctoral researcher. 2017 – 2023 Lebanese International University Instructor and research supervisor in the MIS department. Assistant Dean (2018 – 2021) – School of Business (Reyak Campus). 2022 – 2023 MSF Bar Elias Hospital Medical Data Supervisor. 2015 – 2016 Alpha Data Abu Dhabi, UAE Managing and implementing IT projects including VDI, Applications Virtualization, and Mobility using Citrix and VMWare technologies. 2007 – 2014 Abu Dhabi Investment Authority (ADIA) Abu Dhabi, UAE Information Technology Analyst and IT Project Leader. 2006 – 2007 Exceed IT Services Company Abu Dhabi, UAE Information Technology Support Analyst

Publications Top Notes

  • Houcheimi, A., & Mezei, J. (2024). The Role of Secure Online Payments in Enabling the Development of E-Tailing. Journal of Organizational Computing and Electronic Commerce, 1–19. Link

 

  • Houcheimi, A., Mezei, J. (2024). The Role of Online Product Information in Enabling Electronic Retail/E-tailing. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Link

 

  • Houcheimi, A. (2022). The Key E-Tail Opportunities and Challenges in The Lebanese E-Commerce Market. Journal of Information System and Technology Management, 7(26), 13-31. Link

 

  • Houcheimi, A. (In Press). The role of social media networks in enabling the development of electronic retail (e-tailing). Submitted to Knowledge and Information Systems Journal.

 

Surjit Paul | Information Systems Security | Young Scientist Award

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Mr. Surjit Paul | Information Systems Security | Best Researcher Award

Mr. Surjit Paul is a dedicated and research-oriented academic professional currently pursuing a Ph.D. at the Vinod Gupta School of Management, IIT Kharagpur. With a strong background in computer science and a focus on information security breaches and their impact on firm performance, Mr. Surjit Paul has a proven track record of excellence in both teaching and research. Holding an M.Tech from NIT Jamshedpur and an MCA from Biju Patnaik University, Mr. Surjit Paul is an accomplished educator, currently serving as an Assistant Professor at ARKA JAIN University. Proficient in a range of programming languages and research methodologies, Dr. [Your Name] is committed to advancing knowledge in cybersecurity, social media analytics, and website accessibility.

Profile

Scholar

🎯 Objective

Highly motivated, focused, and research-oriented approach to teaching and learning to achieve the desired goals of the organization. Always eager to learn new tools and technologies required to excel in the current learning environment.

🎓 Education

Ph.D. (Pursuing) Vinod Gupta School of Management (VGSoM), Indian Institute of Technology Kharagpur, Thesis Title: “Information Security Breach Incidents and Firms’ Performance”, Supervisor: Prof. Saini Das, Assistant Professor, VGSoM, IIT Kharagpur. M.Tech CSE, 2017 National Institute of Technology Jamshedpur, CGPA: 9.35, Thesis Title: “Design a Quantum Secure Authentication Protocol for Entity Authentication”, Supervisors: Prof. Sanjay Kumar & Prof. R.R Suman. M.C.A, 2014, Biju Patnaik University of Technology Odisha, Rourkela, CGPA: 9.06. B.Sc IT (Hons), 2010, Ranchi University, Ranchi, Percentage: 78.58%. 12th Science, 2007, Jharkhand Academic Council (JAC) Ranchi, Percentage: 65.80%. 10th, 2005, Jharkhand Academic Council (JAC) Ranchi, Percentage: 76.40%

🏆 Awards & Achievements

Best Researcher Award by SCIENCE FATHER, UGC-JRF/NET Computer Science & Applications, 2015, GATE (Computer Science & Information Technology), 2014, M.Tech (Computer Science & Engineering) Branch Topper, MCA Branch Topper

👨‍🏫 Experience

Teaching & Research Experience

Assistant Professor, Dept. of Computer Science & IT, School of Engineering and IT, ARKA JAIN University Jharkhand (August 2023 – Present). Ph.D. Researcher, Vinod Gupta School of Management, IIT Kharagpur (July 2017 – Present)

Industry Experience

Summer Intern, Indian Institute of Management Indore (July – September 2016). Java Programmer, Napasoft Jamshedpur (Vendor of TATA STEEL LTD. Jamshedpur) (November 2010 – July 2011)

🔬 Research Interests

  • Cyber Security
  • Information Security & Stock Market Impact
  • Social Media Analytics
  • Accessibility & Usability

💻 Research Techniques/Computer Skills

  • Accessibility, usability, security, and privacy analysis of websites
  • Social media analytics, sentiment & emotion analysis, and topic modeling
  • Event study methodology
  • Meta-analysis

🛠️ Software & Tools

  • Python, Java, C, C++, R
  • SAP ABAP
  • Web Technology
  • MS-Office
  • Achecker, Sortsite, PENTEST, Wireshark

Publications Top Notes 📝

  • Accessibility and usability analysis of Indian e-government websites
    • Authors: S. Paul, S. Das
    • Journal: Universal Access in the Information Society
    • Volume: 19
    • Issue: 4
    • Pages: 949-957
    • Year: 2020
    • Citations: 48
    • This article analyzes the accessibility and usability of Indian e-government websites, highlighting the challenges and areas for improvement.

 

  • Investigating information dissemination and citizen engagement through government social media during the COVID-19 crisis
    • Authors: S. Paul, S. Das
    • Journal: Online Information Review
    • Volume: 47
    • Issue: 2
    • Pages: 316-332
    • Year: 2023
    • Citations: 12
    • This study examines how government social media channels disseminated information and engaged with citizens during the COVID-19 pandemic.

 

  • A novel initial basic feasible solution method for Transportation problem
    • Author: S. Paul
    • Journal: International Journal of Advanced Research in Computer Science
    • Volume: 9
    • Issue: 1
    • Pages: 0
    • Year: 2018
    • Citations: 9
    • This article proposes a new method for finding the initial basic feasible solution for transportation problems.

 

  • Real-Time Multimodal Biometric User Authentication for Web Application Access in Wireless LAN
    • Authors: S. Kumar, S. Paul, D.K. Shaw
    • Journal: Journal of Computer Science
    • Volume: 13
    • Issue: 12
    • Pages: 680-693
    • Year: 2017
    • Citations: 5
    • This study presents a real-time multimodal biometric authentication system for secure access to web applications over wireless LAN.

 

  • Communication in vehicular cloud network using ns-3
    • Authors: S. Kumar, S. Paul, A.K. Amar
    • Journal: International Journal of Control Theory and Applications
    • Volume: 10
    • Year: 2017
    • Citations: 4
    • This paper discusses communication protocols in vehicular cloud networks using the ns-3 network simulator.

 

  • A Quantum Secure Entity Authentication Protocol Design for Network Security
    • Authors: S. Paul, S. Kumar, R.R. Suman
    • Publication: Research Anthology on Advancements in Quantum Technology
    • Pages: 289-301
    • Year: 2021
    • Citations: 3
    • This article designs a quantum secure entity authentication protocol aimed at enhancing network security.

 

  • A Quantum Secure Entity Authentication Protocol Design for Network Security
    • Authors: S. Paul, S. Kumar, R.R. Suman
    • Journal: International Journal of Information Security and Privacy
    • Volume: 13
    • Issue: 4
    • Pages: 1-11
    • Year: 2019
    • Citations: 3
    • This paper provides a detailed analysis and design of a quantum secure entity authentication protocol for network security.

 

  • Comparative Analysis of Various PPP Authentication Protocols
    • Authors: S. Paul, S. Kumar
    • Journal: International Journal of Innovative Research in Computer and Communication Engineering
    • Year: 2017
    • Citations: 3
    • This study compares different Point-to-Point Protocol (PPP) authentication methods.

 

  • Design and Modeling of Real Time Multimodal Biometric Authentication System
    • Authors: S. Kumar, S. Paul, D.K. Shaw
    • Journal: Journal of Computer Science (Accepted)
    • Year: 2017
    • Citations: 2
    • This article discusses the design and modeling of a real-time multimodal biometric authentication system.

 

Andrea Amaro| Telecomunicación | Young Scientist Award

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Mrs. Andrea Amaro | Telecomunicación |Young Scientist Award

Mrs at Universitat de València,  Spain

Andrea Amaro Pérez es una investigadora en formación en la Universitat de València, destacada en el campo de la ingeniería electrónica. Con un enfoque en la investigación y desarrollo de tecnologías de apantallamiento electromagnético y aplicaciones 5G, su trayectoria incluye una serie de premios y reconocimientos académicos, como el Premio Científico-técnico Ciutat d’Algemesí en 2024 y varios premios por su excelencia académica y proyectos destacados.

Profile

  1. Orcid

 

  1. Scholar

💼Trayectoria Profesional

Universitat de València: Personal Investigador en Formación desde octubre de 2021 en el Departamento de Ingeniería Electrónica. Prácticas y colaboraciones anteriores: Cátedra EMC Würth Elektronik – University of Valencia AIMPLAS · Instituto Tecnológico del Plástico Instituto de Física Corpuscular (IFIC) Code Pánico (Desarrolladora web) Premium Spain Homes (Auxiliar de gestión de propiedades)

🎓Formación Académica

Doctorado: Programa Oficial de Doctorado en Ingeniería Electrónica, Universitat de València. Máster en Ingeniería Electrónica: Universitat de València, 2021. Grado en Ingeniería Electrónica de Telecomunicación: Universitat de València, 2020.

Proyectos de I+D+i

  • SMART5G: Investigación y desarrollo de estación inteligente y nuevos materiales para la optimización de la movilidad urbana a través de la gestión energética y aplicaciones 5G. Financiado por el Ministerio de Ciencia e Innovación.
  • Cátedra Würth-EMC: Proyecto de investigación financiado por Würth Elektronic, centrado en la compatibilidad electromagnética.

 🌟Actividad Docente

  • Tratamiento de los Datos: Curso impartido en el Grado en Ciencia de Datos en la Universitat de València en 2023 y 2024.

Participaciones en Congresos

  • Electromagnetic Interference Shielding Solutions for Integrated Circuits: 14th Spanish Conference on Electron Devices (CDE), Valencia, 2023.
  • HOP LEARNING: una experiencia de innovación docente transversal en grados de ingeniería de telecomunicación: IN-RED 2023, Valencia, 2023.
  • Magnetic-Metallic board-level shielding hybrid solution evaluation: EMC EUROPE 2023, Kraków, Polonia, 2023.

Publications Top Notes 📝

Design and Study of a Wide-Band Printed Circuit Board Near-Field Probe

  • Authors: PA Martinez, EA Navarro, J Victoria, A Suarez, J Torres, A Alcarria, …
  • Journal: Electronics
  • Year: 2021
  • Volume: 10
  • Issue: 18
  • Page: 2201
  • Citations: 13

 

Analysis of EMI Shielding Effectiveness for Plastic Fiber Composites in the 5G Sub-6 GHz Band

  • Authors: PA Martinez, J Victoria, J Torres, A Suarez, A Alcarria, A Amaro, …
  • Conference: 2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium
  • Year: 2021
  • Pages: 278-283
  • Citations: 7

 

EMI Shielding Effectiveness Study for Innovative Carbon Nanotube Materials in the 5G Frequency Region

  • Authors: A Amaro, A Suarez, A Tamburrano, J Torres, F Marra, PA Martinez, …
  • Journal: IEEE Transactions on Electromagnetic Compatibility
  • Year: 2022
  • Volume: 65
  • Issue: 1
  • Pages: 177-185
  • Citations: 6

 

Shielding Effectiveness Measurement Method for Planar Nanomaterial Samples Based on CNT Materials Up to 18 GHz

  • Authors: A Amaro, A Suarez, J Torres, PA Martinez, R Herraiz, A Alcarria, …
  • Journal: Magnetochemistry
  • Year: 2023
  • Volume: 9
  • Issue: 5
  • Page: 114
  • Citations: 5

 

A Transversal Educational Robotic Platform for Teaching in Different Education Levels

  • Authors: A Suarez, D Garcia-Costa, PA Martinez, R Fayos, A Amaro, J Martos
  • Conference: INTED2020 Proceedings
  • Year: 2020
  • Pages: 6032-6040
  • Citations: 3

 

Characterization of Nanocrystalline Cores for EMI Suppression in Cables

  • Authors: A Suarez, J Victoria, J Torres, PA Martinez, A Amaro, J Martos
  • Book: Materials at the Nanoscale
  • Year: 2021
  • Pages: 67-84
  • Citations: 2

 

Magnetic-Metallic Board-Level Shielding Hybrid Solution Evaluation

  • Authors: A Alcarria, A Suarez, PA Martinez, J Victoria, A Amaro, J Torres
  • Conference: 2023 International Symposium on Electromagnetic Compatibility–EMC Europe
  • Year: 2023
  • Pages: 1-5
  • Citations: 1

Análisis del Aprendizaje Práctico Mediante Plataformas Profesionales Ópticas y de Radio en Base a Proyectos en el Grado en Ingeniería Electrónica de Telecomunicaciones de la …

  • Authors: J Perez, A Suarez, J Torres, M Garcia Pineda, A Soriano Asensi, …
  • Conference: In-Red 2022-VIII Congreso Nacional de Innovación Educativa y Docencia en Red
  • Year: 2022
  • Citations: 1

 

Board-Level Shielding with Magnetic Absorber Sheet

  • Authors: J Victoria, A Suarez, PA Martinez, A Alcarria, A Amaro, J Torres
  • Conference: 2022 International Symposium on Electromagnetic Compatibility–EMC Europe
  • Year: 2022
  • Pages: 74-78
  • Citations: 1

 

Ti3C2Tx Electromagnetic Shielding Performance: Investigating Environmental Influences and Structural Changes

  • Authors: A Barjola, R Herráiz, A Amaro, J Torres, A Suárez, E Giménez
  • Journal: Advanced Electronic Materials
  • Year: 2024
  • Page: 2400024