Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

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Dr. Abiala Alatise Abiala | Technology | Best Researcher Award

Dr. Abiala Alatise Abiala, University Lecturer, Tai Solarin University of Education, Ijagun, Ogun State, Nigeria.

Dr. ABIALA, Abiala Alatise is a Nigerian academic and agricultural extension expert with over two decades of experience in teaching, research, and community development. Born in Ogun State, he has dedicated his professional life to advancing agricultural science and rural development through education and innovation. He currently serves as a Lecturer II at Tai Solarin University of Education, Ogun State. A multi-talented individual, Dr. Abiala has also made significant impacts in religious, civic, and youth empowerment circles. His commitment to integrating artificial intelligence in agricultural education marks a significant stride in enhancing food security and sustainability in West Africa.

Publication Profile

ORCID

🎓 Education Background

Dr. Abiala holds a Ph.D. in Agricultural Extension from Tai Solarin University of Education (2024), an M.Sc. in Agricultural Extension and Rural Development from the University of Ibadan (2009), and a B.Ed. in Agricultural Science Education from the same university (2004). His academic journey began at African Primary School and Owode Secondary School in Ogun State. He has continuously advanced his professional capacity through specialized certificates in AI integration, copywriting, STEM pedagogy, and theology, reflecting his interdisciplinary approach to education, technology, and spiritual leadership in the evolving academic and development landscape of Nigeria.

👨‍🏫 Professional Experience

Dr. Abiala has held various educational and administrative roles, including Lecturer II at Tai Solarin University of Education since 2025. He previously served as a Science Teacher at Idomila Comprehensive High School (2017–2024), Assistant Lecturer at Ekiti State University (2011–2017), and Subject Teacher at Obanta Comprehensive High School (2007–2017). His early career included administrative duties at TASUED and NYSC service in Anambra State. Through these roles, he has mentored students, facilitated curriculum development, and promoted agricultural practices, earning a reputation for academic diligence and passion for rural development.

🏅 Awards and Honors

Dr. Abiala’s scholarly excellence has been recognized globally. He received the prestigious CORAF Travel Grant (Togo, 2023) and three Society for Conservation Biology Travel Grants for academic activities in Canada, China, and New Zealand between 2009 and 2011. These awards underscore his contributions to agricultural sustainability and biodiversity conservation. His certification as a Microsoft Innovative Educator Expert and participation in World Bank’s ToT in STEM reflect his leadership in educational innovation. These accolades not only celebrate his academic achievements but also support his mission to bridge the gap between research, community empowerment, and technological integration.

🔬 Research Focus

Dr. Abiala’s research focuses on agricultural extension, food security, youth empowerment, and sustainable farming systems in Nigeria. His Ph.D. work examined the impact of the Anchor Borrowers’ Programme on rice farmers’ poverty levels. His studies also investigate agricultural technology use, snail farming, charcoal utilization, and the socio-economic dimensions of agri-business. With interdisciplinary outputs spanning newspapers, environmental conservation, and rural livelihoods, he contributes to both academic literature and policy discourse. He integrates AI and modern pedagogies into agriculture, positioning his research at the intersection of education, technology, and sustainable development in West Africa.

🧾 Conclusion

Dr. ABIALA, Abiala Alatise exemplifies a well-rounded scholar, educator, and community leader committed to agricultural transformation and educational excellence in Nigeria. With a strong foundation in extension services and educational innovation, he actively supports the application of modern technology for sustainable rural development. His publications, global exposure, and community involvement reflect a visionary academic whose contributions continue to inspire change across multiple sectors. Whether in the classroom, research arena, or religious setting, Dr. Abiala brings purpose, leadership, and transformative impact.

📚 Top Publications with Notes

  1. Assessment of Local Processing, Packaging and Storage Among Rice Processors in Southwestern Nigeria
    Banjo, S. et al., MDPI Proceedings, 2025
    Cited by: 12 articles
    ➤ A detailed analysis of value-chain improvements in rice processing for food security and trade.

  2. Effects of Agricultural and Technology Usage on the Genetic Selection and Climate Resilience of Fish Farming in Oyo State
    Sanni, M.A. et al., Journal of Theoretical and Empirical Studies in Education, 2025
    Cited by: 8 articles
    ➤ Investigates tech integration in aquaculture for sustainable fishery practices.

  3. Socio-economic Impact of Snail Production and Youth Engagement
    Asamu, Y.I. et al., Journal of Molluscan Research, 2025
    Cited by: 9 articles
    ➤ Highlights the economic potential of snail farming for youth job creation.

  4. Snail Farming as a Means of Wealth Creation in Ogun State
    Jolayemi, J.O. et al., Journal of Molluscan Research, 2025
    Cited by: 5 articles
    ➤ Focuses on value-added practices and entrepreneurship in molluscan farming.

  5. Impact of Anchor Borrowers’ Programme on Smallholder Rice Farmers’ Income
    Banjo, O.S. et al., CYIAP Journal, 2023
    Cited by: 13 articles
    ➤ Examines policy impact on rural rice farmers’ financial stability.

  6. Contribution of NIRSAL to Rice Farmers’ Productivity
    Abiala, A.A. et al., Journal of Agricultural Education Teachers, 2023
    Cited by: 11 articles
    ➤ Links institutional support to yield increase and food security outcomes.

  7. Medicinal Uses of Snail Meat for Boosting Agribusiness
    Oladele, M.N. et al., NMS Conference Proceedings, 2024
    Cited by: 6 articles
    ➤ Presents ethnobotanical insights into snail meat for health-focused agribusiness.

  8. The Impact of Palm Kernel Cake in Resolving Herdsmen-Farmers Conflicts
    Abiala, A.A., IGI Global Journal, 2019
    Cited by: 15 articles
    ➤ Proposes agribusiness solutions to mitigate agricultural land conflicts.

  9. Plant Conservation: Political Harmony for Nature and Society
    Abiala, A.A., Society for Conservation Biology Journal, 2009
    Cited by: 10 articles
    ➤ Connects environmental policy with biodiversity conservation strategies.

  10. Religious Tolerance and Environmental Conservation
    Abiala, A.A., Obeche Journal, 2008
    Cited by: 7 articles
    ➤ Discusses how religious cooperation enhances ecological preservation efforts.

 

Mr. Yifan Zhang | Cybersecurity | Best Researcher Award

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Mr. Yifan Zhang | Cybersecurity | Best Researcher Award

Postgraduate, College of Electronic Engineering, National University of Defense Technology, China

Zhang Yifan is a dynamic and accomplished Master’s student in Computer Science at the National University of Defense Technology (NUDT), China. With a rich blend of academic excellence, innovative research, national-level recognition, and artistic talent, Zhang has demonstrated outstanding leadership and scholarly achievements. He is currently engaged as a researcher at the College of Electronic Engineering, contributing significantly to national-level projects and fostering innovation in network protocol fuzzing and large language model applications.

Publication Profile

ORCID

Education Background 🎓

Zhang Yifan is pursuing a Master’s degree in Computer Science from NUDT. His academic journey has been marked by consistent top performance, including being the top-ranked candidate for graduate school admission in 2023. He has also participated in prestigious programs such as the “International Innovative Talents Training Program” and served as a Chinese Youth Representative in the Ministry of Defense International Student Technology Week.

Professional Experience 💼

Yifan has served in various impactful roles, including as a teacher and teaching assistant at Lizko International Education Investment Management Co., Ltd., where he earned accolades like “Teaching Leader” and “Most Popular Teacher.” Additionally, he was a dance instructor at Hangwu Dance School, where he led students to win 266 provincial and municipal awards. He also interned at a national-level central government agency and currently works as a researcher at a key laboratory in NUDT, where he has led multiple national innovation and entrepreneurship projects.

Awards and Honors 🏆

Zhang Yifan’s accolades include the 2024 “Challenge Cup” Academic Competition First Place & Grand Prize, multiple “FLTRP Cup” English contest grand prizes, and the 2020 Mathematical Contest in Modeling: International Meritorious Winner Prize. He has received the First Prize Scholarship and was honored as a “Merit Student” consistently from 2019–2024. He also won a Bronze Award in the 2022 International “Internet+” Innovation and Entrepreneurship Competition. His creativity and performance extend to the arts, winning first prizes in national and provincial piano and dance competitions.

Research Focus 🔬

Yifan’s research interests lie in computer science, particularly in cybersecurity, network protocol fuzzing, and the integration of large language models for state-handling methods. He has published internationally as a first author and led innovation projects recognized at national conferences. His 2025 journal article introduces a cutting-edge approach to protocol fuzzing using large language models.

Conclusion 🌟

Zhang Yifan is a multifaceted individual who excels in research, leadership, education, and the arts. With a proven track record in innovation, national representation, and academic brilliance, he is set to make a meaningful impact in the field of computer science and beyond.

📚 Publication Top Note

StatePre: A Large Language Model-Based State-Handling Method for Network Protocol Fuzzing
Published: May 2025
Journal: Electronics
 Cited by: Citations will appear on databases like Google Scholar or Scopus once indexed

Dr. Biao Zhang | Technology | Best Researcher Award

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Dr. Biao Zhang | Technology | Best Researcher Award

Xi’an Research Institute of High-Tech, China

Zhang Biao is a promising doctoral student specializing in Nuclear Science and Technology at the PLA Rocket Force Engineering University, Xi’an, China. With a focus on advancing safety and efficiency in nuclear environments, his research emphasizes radiation field reconstruction and dose-optimized path planning. He has authored multiple peer-reviewed articles in top-tier journals like Annals of Nuclear Energy and Nuclear Technology. Zhang’s contributions to computational modeling and intelligent algorithms mark him as an emerging innovator in his field 🧠⚛️.

Publication Profile

ORCID

🎓 Education Background:

Zhang Biao pursued his higher education at the esteemed PLA Rocket Force Engineering University in Xi’an, Shaanxi, China 🎓. Currently engaged in his doctoral studies, his academic journey is rooted in nuclear science with an inclination toward computational applications in radiation detection and safety mechanisms.

💼 Professional Experience:

Although still in academia, Zhang has demonstrated notable professional-level impact through his published works. He is affiliated with the Xi’an Research Institute of High-Tech and is a proud member of the Chinese Nuclear Society 🧪. His hands-on experience with mathematical modeling and radiation path optimization contributes to future applications in nuclear facility safety.

🏆 Awards and Honors:

While formal accolades are pending, Zhang’s scholarly output—particularly his recent algorithmic improvements in radiation path planning—have earned recognition in high-impact journals and among nuclear technology scholars. His nomination for the Best Researcher Award by the Computer Scientists Awards underscores his rising prominence in scientific research 🥇📚.

🔬 Research Focus:

Zhang Biao’s work revolves around enhancing the safety of radiation environments through efficient detection and computational path planning. His innovations include a modified A* algorithm for minimizing radiation dose exposure and improved reconstruction techniques for gamma-ray source fields using interpolation and mathematical modeling 🔍🛰️.

🔚 Conclusion:

Zhang Biao represents the new generation of nuclear technologists who integrate artificial intelligence with radiation safety science. With multiple first-author publications, innovative algorithms, and a clear vision for nuclear safety, he is well on track to make substantial contributions to science and society 🌏💡.

📚 Top Publications:

A modified A* algorithm for path planning in the radioactive environment of nuclear facilities – Annals of Nuclear Energy, 2025.
Cited by: Referenced in dose optimization and nuclear safety path planning studies.

Path planning of PRM based on artificial potential field in radiation environments – Annals of Nuclear Energy, 2024.
Cited by: Utilized in advanced robotics navigation within hazardous nuclear zones.

Minimum dose walking path planning in a nuclear radiation environment based on a modified A* algorithm –Annals of Nuclear Energy, 2024.
Cited by: Recognized for efficient personnel routing in nuclear facilities.

A comparative study of different radial basis function interpolation algorithms in the reconstruction and path planning of γ radiation fields – Nuclear Engineering and Technology, 2024.
Cited by: Referenced in computational gamma field modeling research.

Reconstruction of γ Dose Rate Field and Algorithm Validation Based on Inverse Distance Weight Interpolation – Nuclear Technology, 2024.
Cited by: Applied in gamma dose field reconstruction validations.

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

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

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

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

Publication Profile

Scopus

🎓 Academic Background:

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

💼 Professional Experience:

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

🏆 Awards and Honors:

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

🔬 Research Focus:

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

🔎 Conclusion:

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

🔗 Publications Top Notes:

Dr. Muhammad Asad Saleem | Information Security | Best Researcher Award

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Dr. Muhammad Asad Saleem | Information Security | Best Researcher Award

Post Doctoral Researcher, University of Electronic Science and Technology of China

Dr. Muhammad Asad Saleem is a distinguished researcher and academic in cyberspace security, currently serving as a Postdoctoral Researcher at the University of Electronic Science and Technology of China 🇨🇳. With a strong background in computer science, he has contributed significantly to network security, cryptographic protocols, and authentication mechanisms 🔐. His research has been recognized internationally, earning him multiple high-impact publications 📚 in IEEE Transactions and Q1 journals. Passionate about fostering cybersecurity innovations, Dr. Saleem is dedicated to enhancing vehicular networks, blockchain security, and IoT authentication 🚗💡.

Publication Profile

🎓 Education

Dr. Saleem holds a Ph.D. in Computer Science and Technology (2021–2024) from the University of Electronic Science and Technology of China 🎖️, where he received the Excellent Student Award for his outstanding academic performance (CGPA 3.9/4.0). His doctoral research focused on privacy-preserving authenticated key-establishment protocols for vehicular ad-hoc networks 🚘🔑. Prior to that, he completed an MS in Computer Science (2018–2020) from COMSATS University Islamabad 🇵🇰, where he achieved a perfect 4.0/4.0 CGPA and was recognized as the Overall Batch Topper 🏆.

💼 Experience

Dr. Saleem has a strong academic career, beginning as a Lab Engineer (2018–2021) at COMSATS University Islamabad, where he taught foundational courses like Programming, Database Systems, and Network Security 💻. He later served as a Visiting Lecturer (2020–2021) at the University of Sahiwal, teaching advanced computer science subjects. From 2021 to 2024, he was a Lecturer in Computer Science at the Higher Education Department of Punjab, where he trained future cybersecurity experts. His transition to a Postdoctoral Researcher in cyberspace security at UESTC, China marks his continued pursuit of cutting-edge research in cryptographic algorithms and vehicular security systems 🌐🔒.

🏅 Awards and Honors

Dr. Saleem’s academic excellence and research contributions have earned him several prestigious awards 🏆. He was honored with the Excellent Student Award during his Ph.D. studies 📜 and was the Overall Batch Topper in his MS program 🥇. His high-impact publications in top-tier Q1 journals have further solidified his reputation as a leading cybersecurity researcher.

🔍 Research Focus

Dr. Saleem’s research primarily revolves around network security, cryptographic authentication, and secure vehicular networks 🚗🔑. His work focuses on designing lightweight and efficient security protocols for IoT, blockchain-based systems, and intelligent transportation networks 🌍🔐. His contributions have advanced secure key establishment mechanisms, privacy-preserving authentication, and cybersecurity solutions for smart cities and industrial IoT 💡🔒.

📝 Conclusion

Dr. Muhammad Asad Saleem is a dynamic researcher and educator, making significant strides in cybersecurity and network authentication 🛡️. With a strong academic background, extensive research experience, and a passion for innovation, he continues to contribute to the evolving landscape of secure communication systems. His high-impact publications and academic excellence place him among the most promising researchers in the field of cyberspace security 🚀.

📚 Publications 

A Provably Secure Lightweight Key Agreement Protocol for Wireless Body Area Networks in Healthcare Systems (2023) – IEEE Transactions on Industrial Informatics (DOI Link) – Cited by 50+ articles 🔬.

Blockchain and PUF-Based Secure Key Establishment Protocol for Cross-Domain Digital Twins in IIoT Architecture (2023) – Journal of Advanced Research (DOI Link) – Cited by 40+ articles 📡.

Provably Secure Authentication Protocol for Mobile Clients in IoT Environment Using Puncturable Pseudorandom Function (2021) – IEEE Internet of Things Journal (DOI Link) – Cited by 60+ articles 📲.

Authenticated Key Management Protocol in Fog Computing-Based Internet of Vehicles Deployment (2020) – IEEE Internet of Things Journal (DOI Link) – Cited by 55+ articles 🚘.

An Efficient and Physically Secure Privacy-Preserving Key-Agreement Protocol for Vehicular Ad-hoc Networks (2023) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 35+ articles 🚗.

A Provably Secure Mobile User Authentication Scheme for Big Data Collection in IoT-Enabled Maritime Intelligent Transportation System (2023) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 45+ articles ⚓.

Secure RFID-Assisted Authentication Protocol for Vehicular Cloud Computing Environment (2024) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 30+ articles ☁️🚘.

A Cost-Efficient Anonymous Authenticated and Key Agreement Scheme for V2I-Based Vehicular Ad-hoc Networks (2024) – IEEE Transactions on Intelligent Transportation Systems (DOI Link) – Cited by 25+ articles 🏎️.

Lightweight and Secure Multi-Factor Authentication Scheme in VANETs (2023) – IEEE Transactions on Vehicular Technology (DOI Link) – Cited by 40+ articles 🏁.

Cloud-Assisted Secure and Cost-Effective Authenticated Solution for Remote Wearable Health Monitoring System (2023) – IEEE Transactions on Network Science and Engineering (DOI Link) – Cited by 50+ articles ⌚🔒.

Mr. André Guimarães | Computer Science | Best Researcher Award

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Mr. André Guimarães | Computer Science | Best Researcher Award

Researcher, University of Beira Interior, Portugal

Andre Guimarães is a dedicated researcher and educator in the fields of Engineering Sciences, Industrial Engineering, and Management. With a strong academic background, he has contributed significantly to various research projects related to Industry 4.0 and digital transformation. He currently holds research positions at the University of Beira Interior and the Polytechnic Institute of Viseu, Portugal. Alongside his academic work, Andre has accumulated practical experience in industrial environments, particularly in production management and technical consulting, where he focuses on quality management, lean methodologies, and engineering innovations. He is also a passionate educator, teaching engineering and management-related courses at the higher education level. 📚🔬

Publication Profile

ORCID

Education:

Andre’s educational journey includes a Master’s degree in Mechanical Engineering and Industrial Management from the Polytechnic Institute of Viseu. He is currently pursuing a PhD in Industrial Engineering and Management at the University of Beira Interior. Additionally, Andre holds several postgraduate qualifications, including a specialization in Industry 4.0 and Digital Transformation from the Polytechnic Institute of Porto. His training also includes certifications in quality management, Six Sigma, lean manufacturing, and other engineering disciplines. 🎓📖

Experience:

Andre’s professional career spans both academia and industry. He has worked as a researcher at the University of Beira Interior and the Polytechnic Institute of Viseu, contributing to cutting-edge research in mechanical and industrial engineering. Additionally, Andre has extensive industrial experience, having served as the Production Manager at IPROM – Products Industry Metallics Ltd, where he oversaw production processes and managed technical operations. As a consultant and facilitator at the Welding and Quality Institute, Andre applies his expertise in quality management systems and continuous improvement. 🏭⚙️

Awards and Honors:

Andre Guimarães has been recognized for his contributions to both research and industry. He is a full member of the Order of Engineers in Portugal and a fellow at FCT Research. His work has been acknowledged through various academic and industry accolades, cementing his reputation as a skilled professional and educator in his field. 🏅🌟

Research Focus:

Andre’s research interests are deeply rooted in Industry 4.0 technologies, digital transformation, lean management, and quality systems in industrial engineering. His research aims to bridge the gap between theoretical frameworks and practical applications in engineering, with a focus on improving production efficiency, implementing digital technologies, and optimizing management processes in industrial environments. His recent projects explore advanced methodologies in electromechatronics and systems research. 🔍📊

Conclusion:

With a rich academic background and a wealth of practical experience, Andre Guimarães stands at the intersection of research and industry, contributing to the evolution of engineering practices. His work, driven by a passion for innovation and education, continues to shape the future of industrial engineering and management in Portugal and beyond. Andre’s ongoing commitment to advancing the field through both research and practical applications makes him a valuable asset to the academic and industrial communities. 🚀🌍

Publications:

The influence of consumer, manager, and investor sentiment on US stock market returnsInvestment Management and Financial Innovations

Effects of Lean Tools and Industry 4.0 technology on productivity: An empirical studyJournal of Industrial Information Integration

Método Delphi modificado para abordar a transformação digital na gestão de ativosRevista de Ativos de Engenharia

Lean philosophy and Value Engineering methodologies. Their relations and synergy using Bert a natural language processing modelCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Modificação do Método Delphi para Aplicação num Questionário sobre a Transformação Digital na Gestão de AtivosCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Overview of the use of data assets in the context of Portuguese companies: Comparison between SMEs and large companiesCongrEGA 2024 – Sustainable and Digital Innovation in Engineering Asset Management

Comparative analysis of welding processes using different thermoplasticsInternational Journal of Integrated Engineering

Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

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Assoc. Prof. Dr. Qutaiba Alasad | Computer Engineering Security | Best Researcher Award

Cybersecurity, previously at University of Central Florida in USA and now at Tikrit University in Iraq

Qutaiba Abdullah Hasan Alasad is an Associate Professor and Head of the Department of Control and Computer Engineering at the University of Tikrit, Iraq. With a Ph.D. in Computer Engineering from the University of Central Florida (UCF), USA, he has developed expertise in hardware security, particularly in the areas of logic encryption, obfuscation techniques, and secure design for emerging devices. His research work focuses on enhancing hardware protection, preventing side-channel attacks, and leveraging memory computing for secure and high-performance systems. He has also been involved in various presentations and has earned several prestigious awards for his contributions to computer engineering and cybersecurity. 📚🔒

Publication Profile

Google Scholar

Education

Dr. Alasad completed his Ph.D. in Computer Engineering from the University of Central Florida (UCF) in 2020, with a perfect GPA of 4.0/4.0. His dissertation, titled “Provably Trustworthy and Secure Hardware Design with Low Overhead,” was supervised by Prof. Yuan Jiann-Shiun. He also holds an M.Sc. in Computer Engineering from the University of Mosul, Iraq, where he designed a math pipeline processor using VHDL and implemented it on Spartan-3E. 🎓🇮🇶

Experience

Dr. Alasad has served in various prestigious positions, including the Head of the Department at the University of Tikrit’s College of Petroleum and Minerals Engineering and Dean of the College of Petroleum Systems Control Engineering. He was also involved in several roles at the University of Central Florida, where he worked under the supervision of Prof. Jiann-Shiun Yuan. His vast experience spans over teaching, research, and administrative roles. 💼👨‍🏫

Awards and Honors

Dr. Alasad has received several notable recognitions, including a Travel Award from the ICCD Conference in 2017 and a complimentary annual membership from Gabriele Kotsis, President of the ACM journal, in 2020. He has presented his research at various symposiums, covering topics such as Internet of Things (IoT) applications and power electronics systems simulation. 🏅🌍

Research Focus

Dr. Alasad’s research interests are centered around hardware security, particularly logic encryption and obfuscation techniques, side-channel attack prevention, and the application of emerging devices to enhance hardware security. He is also focused on designing secure memory systems using ReRAM and creating high-performance machine learning accelerators. Additionally, his work on big data security and cybersecurity protection based on machine learning is highly impactful in the domain. 🔐💻

Conclusion

Qutaiba Alasad’s interdisciplinary expertise and contributions to hardware security, especially in the realm of logic encryption and emerging devices, position him as a leader in the field. His academic achievements, coupled with his extensive work in cybersecurity, make him a prominent figure in the engineering community. 🏆👨‍💻

Publications

Design a Pipelined Math Processor, Doubling Its Speed and Implementing It on FPGA

Al-Rafidain Engineering Journal (AREJ), Volume 22, Issue 4, Pages 131-148, 2014

Cited by: 10+

E2LEMI: Energy-Efficient Logic Encryption Using Multiplexer Insertion

Electronics, vol. 6, issue 1, 2017

Cited by: 50+

Logic Locking Using Hybrid CMOS and Emerging SiNW FETs

Electronics, vol. 6, issue 3, 2017

Cited by: 30+

Ultra-Low-Power Design and Hardware Security Using Emerging Technologies for Internet of Things

Electronics, vol. 6, issue 3, 2017

Cited by: 40+

Logic Obfuscation against IC Reverse Engineering Attacks with Low Overhead

ACM Trans. TODAES, 2020

Cited by: 75+

Resilient and Secure Hardware Devices Using ASL

ACM journal on emerging technologies in computing systems, 2021

Cited by: 20+

Multi-Tier 3D IC Physical Design with Analytical Quadratic Partitioning Algorithm Using 2D P&R Tool

Electronics, 2021

Cited by: 15+

Mitigation of Black-Box Attacks on Intrusion Detection Systems-Based ML

MDPI Computers, 2022

Cited by: 25+

GEUMTAE KIM | Cryptography Award | Best Researcher Award

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Mr. GEUMTAE KIM | Cryptography Award | Best Researcher Award

Ph.D. candidate, Seoul National University, South Korea

🌟 Geumtae Kim is a dedicated Ph.D. candidate at Seoul National University, specializing in the Department of Electrical and Computer Engineering. Guided by Prof. Jong-Seon No, he focuses on advancing the fields of cryptography and secure computing. With a strong academic foundation, Geumtae’s research centers on innovative cryptographic techniques, including post-quantum cryptography and homomorphic encryption. His contributions are marked by publications in prominent journals and conferences, showcasing his commitment to cutting-edge research in cybersecurity. 📚🔒

Publication Profile

ORCID

Education

🎓 Geumtae Kim began his academic journey at Pohang University of Science and Technology (POSTECH), earning a Bachelor of Science in Electrical Engineering in 2019. Pursuing further excellence, he joined Seoul National University in 2019, where he is currently advancing his expertise as a Ph.D. candidate in Electrical and Computer Engineering. 🌐⚡

Experience

🛠️ Since 2019, Geumtae has been immersed in research at Seoul National University under the mentorship of Prof. Jong-Seon No. His work emphasizes cryptographic algorithms and systems that enhance digital security. With years of rigorous study and hands-on experience, he continues to contribute significantly to the fields of cryptography and encryption. 💻🔐

Research Interests

🔍 Geumtae’s research is driven by a passion for creating robust security solutions in the digital age. His primary interests include cryptography, post-quantum cryptography, and homomorphic encryption. These focus areas aim to address the emerging challenges of quantum computing and ensure the confidentiality and integrity of sensitive data. 🔑✨

Awards

🏆 While specific awards were not provided, Geumtae’s consistent publication record in peer-reviewed journals and conferences highlights his recognition within the academic and research communities. His work reflects a strong commitment to excellence and innovation in cryptography. 🌟📜

Publications

Lazy Modular Reduction for NTT

Masked Ciphertext Comparison without Masking Conversions Using Register Rotation and Chinese Remainder Theorem

 

Alberto Moccardi | Cybersecurity | Best Researcher Award

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Dr. Alberto Moccardi | Cybersecurity | Best Researcher Award

Phd, Università degli studi di Napolli Federico II, Italy

🌟 Alberto Moccardi is a dedicated researcher and Ph.D. candidate at the University of Naples Federico II in Naples, Italy, under the Department of Electrical Engineering and Information Technologies. His expertise spans Artificial Intelligence (AI) and Internet of Things (IoT) applications, particularly in predictive maintenance and smart road management systems. Alberto actively contributes to advancing human-centered AI methodologies to address pressing technological and societal challenges.

Publication Profile

ORCID

Education

🎓 Alberto Moccardi is pursuing his Ph.D. at the University of Naples Federico II. His academic journey is deeply rooted in electrical engineering and information technologies, emphasizing cutting-edge AI solutions in IoT ecosystems.

Experience

💼 With his role at the University of Naples Federico II, Alberto has developed a robust background in research and application-driven innovation. He has contributed to impactful projects in predictive maintenance and AI-driven road infrastructure management.

Research Interests

🔍 Alberto’s research interests focus on AI-driven methodologies, IoT applications, and human-centered systems. He is passionate about designing robust frameworks for adversarial attack detection in IoT systems and creating equitable solutions for smart city management.

Awards

🏆 Alberto’s innovative work has gained recognition through academic publications and conference presentations, reflecting his dedication to leveraging technology for societal benefit.

Publications

Detecting Adversarial Attacks in IoT-Enabled Predictive Maintenance with Time-Series Data Augmentation
📜 Published: 2024-11-20 | Journal: Information
🔗 DOI: 10.3390/info15110740

AI Driven Potholes Detection for Equitable Repair Prioritization: Human-centred AI-driven methodology as support of road management system
📜 Published: 2023-12-14 | Conference: Proceedings of the 2023 Conference on Human-Centered Artificial Intelligence: Education and Practice
🔗 DOI: 10.1145/3633083.3633224

 

Nordine Quadar | Cybersecurity | Best Researcher Award

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Mr. Nordine Quadar | Cybersecurity | Best Researcher Award

Researcher, Royal Military College of Canada, Canada

🎓 Nordine Quadar, P.Eng, is a dedicated technical manager, researcher, and educator based in Montreal, Canada. With a strong foundation in engineering and advanced expertise in cybersecurity and artificial intelligence, he specializes in leveraging cutting-edge technologies to enhance the security of UAV systems. Passionate about teaching, he has guided students through complex subjects and contributed significantly to the fields of smart grids, IoT, and machine learning.

Publication Profile

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Education

📚 Nordine Quadar holds a PhD in Computer Science (in progress, 2022–2025) from the Royal Military College of Canada, supervised by Abdellah Chehri, focusing on UAV cybersecurity using Edge AI. He earned a Master of Applied Science in Electrical & Computer Engineering (2015–2018) from the University of Ottawa under the supervision of Claude D’Amours, with a thesis on spatial modulation for MIMO-CDMA systems. He also completed his Bachelor of Applied Science in Electrical Engineering (2011–2014) at the University of Ottawa.

Experience

💼 Technical Expertise defines Nordine’s career. As a teaching assistant at the University of Ottawa (2015–2017), he facilitated labs, study groups, and lecture preparations for courses like computer networks, applied electromagnetism, and computer architecture. His role demonstrated his commitment to nurturing student success and understanding.

Research Interests

🔍 Nordine’s research interests center on cybersecurity, AI-powered intrusion detection systems, digital twins for smart grids, and IoT testbeds. He explores emerging technologies to solve real-world challenges, combining theoretical innovation with practical applications.

Awards

🏆 Nordine has earned recognition for his impactful contributions to engineering and research, highlighting his commitment to excellence in academia and technical leadership.

Publications

N. Mchirgui, N. Quadar, et al. The Applications and Challenges of Digital Twin Technology in Smart Grids: A Comprehensive Review. Applied Sciences, 2024. DOI:10.3390/app142310933

N. Quadar, A. Chehri, et al. Intrusion Detection Systems in Automotive Ethernet Networks: Challenges, Opportunities and Future Research Trends. IEEE Internet of Things Magazine, 2024, Vol. 7, No. 2, pp. 62–68.

N. Quadar, M. Rahouti, et al. IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece. IEEE Internet of Things Magazine, 2024, Vol. 7, No. 1, pp. 136–143.

N. Quadar, H. Chaibi, et al. Recommendation Systems: Models, Techniques, Application Fields and Ethical Challenges. In Proceedings of the 7th International Conference on Big Data and Internet of Things (BDIoT ’24), 2024.