Joseph Squillace | Cybersecurity | Global Scientific Impact Award

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Dr. Joseph Squillace | Cybersecurity | Global Scientific Impact Award

Associate Professor | The Pennsylvania State University | United States

Dr. Joseph Michael Squillace is an Assistant Professor of Cybersecurity at Penn State University, Schuylkill, specializing in information security, privacy, cyber policy management, and cybersecurity education. He holds a Ph.D. in Information Systems from Nova Southeastern University, where his doctoral research examined corporate investments in privacy, along with master’s and bachelor’s degrees in computer information systems and information technology, both with concentrations in cybersecurity and network engineering. Dr. Squillace’s professional contributions span leadership in cybersecurity pedagogy, research project management, and the development of educational frameworks focused on cyber awareness, ethical computing, and privacy protection. His research explores areas including cyberbullying prevention, artificial intelligence vulnerabilities, privacy inequality, and the cybersecurity of critical infrastructure, with numerous peer-reviewed publications in leading international journals and conferences. He has successfully secured significant research funding from federal agencies and international organizations, advancing cyber education and public safety initiatives. Dr. Squillace has been honored with multiple institutional and national awards recognizing excellence in teaching, research, and community engagement, and he has served as a keynote speaker, visiting professor, and academic fellow for cybersecurity organizations across Europe and the United States. His interdisciplinary work continues to shape the intersection of technology, governance, and human behavior in building secure and equitable digital environments.

Profiles: Google Scholar | ORCID

Featured Publications

  1. 1. Squillace, J., Hozella, Z., Cappella, J., & Sepp, A. (2023). An exploration of SETA in cyber bullying to reduce social harm and juvenile suicide. IEEE World AI IoT Congress (AIIoT), 477–480.

    2. Squillace, J., Cappella, J., & Sepp, A. (2024). User vulnerabilities in AI-driven systems: Current cybersecurity threat dynamics and malicious exploits in supply chain management and project management. ASU International Conference in Emerging Technologies for Industry 4.0.

    3. Bantan, M., & Squillace, J. (2022). Privacy inequality and IT identities: The impact of different privacy laws adoptions. Journal of Information Privacy and Security.

    4. Squillace, J., & Cappella, J. (2024). Examining how targeted cyber attacks on critical supply chain networks can lead to economic collapse and civil unrest. IEEE SoutheastCon, 1482–1489.

    5. Squillace, J., & Bantan, M. (2022). A taxonomy of privacy, trust, and security breach incidents of Internet-of-Things linked to F (M). AANG corporations. IEEE World AI IoT Congress (AIIoT), 591–596.

Yang Han | Computer Science | Best Researcher Award

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Dr. Yang Han | Computer Science | Best Researcher Award

Associate Researcher at Tianjin University, China

Yang Han is an emerging researcher with a strong academic background in mathematics, having completed both his Master’s and PhD at Nankai University, followed by a research position at Tianjin University. His work bridges mathematical theory and practical applications in engineering, focusing on areas such as topological data analysis, signal processing, and intelligent fault diagnosis. In recent years, he has published extensively in high-impact journals like IEEE Transactions on Instrumentation and Measurement and Chaos, Solitons & Fractals, and presented at reputable international conferences such as IEEE PESGM and ACPEE. His interdisciplinary research is marked by innovation and relevance, especially in appliance identification, load forecasting, and fault detection using advanced mathematical tools. Though early in his research career, Yang has demonstrated strong potential and a clear trajectory of growth. His dedication, academic rigor, and collaborative approach position him as a promising candidate for the Best Researcher Award.

🔹Professional Profile 

Google Scholar
ORCID Profile 

🏆Strengths for the Award

Yang Han demonstrates a highly impressive academic and research trajectory. With a strong foundation in mathematics from Nankai University, progressing through a Master’s and PhD (2015–2023), and currently holding an associate researcher position at Tianjin University, he shows continuity and growth in academic rigor. His research spans interdisciplinary areas, merging topological data analysis, signal processing, machine learning, and fault diagnosis—fields of significant importance in both academia and industry. Notably, his recent publications in high-impact journals such as IEEE Transactions on Instrumentation and Measurement and Chaos, Solitons & Fractals reflect both quality and innovation. Additionally, his contributions to top-tier conferences like IEEE PESGM and ACPEE signal strong peer recognition. The combination of applied AI techniques and deep mathematical theory shows versatility, a rare and commendable strength for a young researcher.

Areas for Improvement

While the publication record is strong and growing, most of the impactful work is very recent (primarily in 2024–2025), indicating that Yang Han is in the early stages of building a long-term research profile. Sustained contributions over a longer timeline will better establish him as a leading authority. Another point of improvement would be to take on more lead or sole authorship roles in future publications, as many current works are collaborative with shared credit, which can make it harder to isolate individual impact. Additionally, while his interdisciplinary work is a strength, expanding his network internationally through collaborations beyond China and participating in global research programs could enhance the visibility and influence of his work.

Conclusion

Yang Han is a highly promising and impactful early-career researcher with a unique blend of mathematical depth and applied AI-driven engineering. His recent output demonstrates a clear upward trajectory, both in productivity and innovation. While there is room to further solidify his independent research identity and global presence, his current achievements strongly support his candidacy for the Best Researcher Award. Given his solid grounding, interdisciplinary focus, and growing impact, he is indeed a suitable and deserving nominee for this recognition.

🎓Education

Yang Han began his academic journey at Nankai University, a prestigious institution known for mathematical excellence. From 2015 to 2018, he completed his Master’s degree at the School of Mathematical Sciences and LPMC, focusing on advanced mathematical theories and computational techniques. His strong academic performance and deep interest in topology, algebra, and their applications led him to continue his research as a PhD student in the same department from 2019 to 2023. During his doctoral studies, he expanded his expertise into applied mathematics and began to explore connections with engineering systems and data-driven problem solving. His doctoral research provided the foundation for his transition into interdisciplinary areas such as topological data analysis and graph signal processing. His time at Nankai University was marked by academic growth, critical thinking, and active participation in scholarly research. This rigorous educational background prepared him for a successful research career bridging mathematics and electrical engineering.

💼Experience

Yang Han currently holds the position of Associate Researcher at the School of Electrical and Information Engineering, Tianjin University. Since assuming this role in 2023, he has actively contributed to research in intelligent systems, signal processing, and data analytics. Before this, he spent nearly a decade at Nankai University, where he completed his Master’s and PhD studies, engaging in teaching support and foundational research. His experience spans a variety of projects focused on non-intrusive load monitoring, equipment fault diagnosis, and appliance identification—often leveraging advanced mathematical tools like topological data analysis and fast Fourier transforms. He has contributed to both national and international research collaborations, presented at prestigious conferences, and published in leading journals. His ability to blend abstract mathematical methods with real-world engineering challenges exemplifies his versatile experience. His role also involves mentoring junior researchers and contributing to interdisciplinary innovation at the intersection of mathematics, artificial intelligence, and electrical engineering.

🏆Awards and Honors

While formal individual awards are not explicitly listed in the available data, Yang Han’s growing list of high-impact publications and conference presentations serves as strong evidence of professional recognition. His work has been published in top-tier journals such as IEEE Transactions on Instrumentation and Measurement, Chaos, Solitons & Fractals, and Engineering Applications of Artificial Intelligence, reflecting a high level of peer recognition. He has also contributed to leading international conferences, including IEEE PESGM and the Asia Conference on Power and Electrical Engineering (ACPEE), where selection itself is a mark of merit. These platforms are known for their rigorous review processes, indicating that his work meets and often exceeds international research standards. Additionally, his involvement in collaborative, interdisciplinary projects and authorship in multiple papers shows that he is a valued team member in academic and industrial circles. As his career progresses, further formal awards and honors are likely to follow.

🔬 Research Focus on Computer Science

Yang Han’s research is centered at the intersection of applied mathematics, artificial intelligence, and electrical engineering. His primary focus lies in topological data analysis, signal processing, and machine learning techniques for complex system monitoring and fault detection. He has contributed significantly to non-intrusive load monitoring (NILM), using graph signal processing to identify energy consumption patterns without intrusive sensors. He also works on fault diagnosis through time-frequency analysis and the application of mathematical topology in real-world engineering systems. His innovative approach often involves transforming abstract mathematical concepts—such as Betti curves and topological invariants—into practical tools for appliance identification and power grid analysis. Furthermore, Yang Han is exploring adaptive methods for equipment behavior modeling and data-driven forecasting. This unique research blend offers both theoretical advancements and immediate practical value, demonstrating his ability to tackle emerging challenges in intelligent energy systems and industrial diagnostics with precision and depth.

📚 Publications Top Notes

  • Title: Energy dissipation analysis of elastic–plastic materials
    Authors: H Yang, SK Sinha, Y Feng, DB McCallen, B Jeremić
    Year: 2018
    Citations: 94

  • Title: Study on the mechanical behavior of sands using 3D discrete element method with realistic particle models
    Authors: WJ Xu, GY Liu, H Yang
    Year: 2020
    Citations: 46

  • Title: Nonlinear finite elements: Modeling and simulation of earthquakes, soils, structures and their interaction
    Authors: B Jeremić, Z Yang, Z Cheng, G Jie, N Tafazzoli, M Preisig, P Tasiopoulou, …
    Year: 2018
    Citations: 37

  • Title: The real-ESSI simulator system
    Authors: B Jeremić, G Jie, Z Cheng, N Tafazzoli, P Tasiopoulou, F Pisanò, JA Abell, …
    Year: 1988
    Citations: 35

  • Title: Study on the meso-structure development in direct shear tests of a granular material
    Authors: H Yang, WJ Xu, QC Sun, Y Feng
    Year: 2017
    Citations: 28

  • Title: Energy dissipation analysis for inelastic reinforced concrete and steel beam-columns
    Authors: H Yang, Y Feng, H Wang, B Jeremić
    Year: 2019
    Citations: 27

  • Title: Time domain intrusive probabilistic seismic risk analysis of nonlinear shear frame structure
    Authors: H Wang, F Wang, H Yang, Y Feng, J Bayless, NA Abrahamson, B Jeremić
    Year: 2020
    Citations: 22

  • Title: Seismic resonant metamaterials for the protection of an elastic-plastic SDOF system against vertically propagating seismic shear waves (SH) in nonlinear soil
    Authors: C Kanellopoulos, N Psycharis, H Yang, B Jeremić, I Anastasopoulos, …
    Year: 2022
    Citations: 21

  • Title: Energy dissipation in solids due to material inelasticity, viscous coupling, and algorithmic damping
    Authors: H Yang, H Wang, Y Feng, F Wang, B Jeremić
    Year: 2019
    Citations: 20

  • Title: 3-d non-linear modeling and its effects in earthquake soil-structure interaction
    Authors: SK Sinha, Y Feng, H Yang, H Wang, B Jeremic
    Year: 2017
    Citations: 19

  • Title: Plastic-energy dissipation in pressure-dependent materials
    Authors: H Yang, H Wang, Y Feng, B Jeremić
    Year: 2020
    Citations: 18

  • Title: Relationship between multifunctionality and rural sustainable development: Insights from 129 counties of the Sichuan Province, China
    Authors: X Li, J Liu, J Jia, H Yang
    Year: 2022
    Citations: 17

  • Title: Modeling and simulation of earthquake soil structure interaction excited by inclined seismic waves
    Authors: H Wang, H Yang, Y Feng, B Jeremić
    Year: 2021
    Citations: 17

  • Title: An energy-based analysis framework for soil structure interaction systems
    Authors: H Yang, H Wang, B Jeremić
    Year: 2022
    Citations: 14

  • Title: A robust and efficient federated learning algorithm against adaptive model poisoning attacks
    Authors: H Yang, D Gu, J He
    Year: 2024
    Citations: 11

Sheikh Shanawaz Mostafa | Computer Science | Best Researcher Award

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Dr. Sheikh Shanawaz Mostafa | Computer Science | Best Researcher Award

PostDoc at Instituto Superior Técnico, Portugal

Dr. Sheikh Shanawaz Mostafa is a dynamic researcher with over 12 years of experience in artificial intelligence, biomedical engineering, and computer science. He has an impressive track record of over 60 publications with a cumulative impact factor exceeding 144 and has contributed to impactful projects in healthcare, agriculture, energy, and smart systems. With academic credentials spanning Bangladesh and Portugal, including a Ph.D. from Instituto Superior Técnico, his work bridges interdisciplinary fields and real-world applications. He has led and contributed to high-profile projects such as Sleep Revolution, BASE, and AHEAD, demonstrating expertise in deep learning, explainable AI, and human-in-the-loop systems. Dr. Mostafa has supervised Ph.D., M.Sc., and B.Sc. theses, secured international research funding, and collaborated with institutions like Carnegie Mellon University and companies such as Zomato. Known for his mentorship, cross-cultural adaptability, and innovative thinking, he is a highly suitable candidate for the Best Researcher Award.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Sheikh Shanawaz Mostafa holds a Ph.D. in Electrical and Computer Engineering from Instituto Superior Técnico, University of Lisbon, Portugal, where he specialized in Networked Interactive Cyber-Physical Systems, a joint program with Carnegie Mellon University. He completed his M.Sc. in Biomedical Engineering and B.Sc. in Electronics and Communication Engineering from Khulna University of Engineering & Technology (KUET), Bangladesh. Throughout his academic journey, he has maintained a strong interdisciplinary focus, integrating electrical engineering, biomedical systems, and artificial intelligence. His Ph.D. thesis on sleep apnea detection was awarded “Pass with Distinction,” reflecting his academic excellence and research impact. With a consistent academic record across diverse technical disciplines, Dr. Mostafa’s educational background has provided a solid foundation for innovative research at the intersection of AI and health technologies.

Professional Experience

Dr. Mostafa brings over 12 years of international academic and experience, having worked with renowned institutions such as Instituto Superior Técnico, Madeira Interactive Technologies Institute, ARDITI, and KUET. Currently serving as a Postdoctoral Researcher (R3) at Instituto Superior Técnico, he has held multiple roles as an AI consultant, assistant professor, and principal researcher across EU-funded and industry-partnered projects. His key projects include Sleep Revolution, BASE (banana harvesting optimization), AHEAD (EV infrastructure planning), and RRSO (restaurant sentiment analytics). Dr. Mostafa has demonstrated excellence in leading interdisciplinary teams, securing competitive research grants, and collaborating with industry partners like Zomato and Asseco PST. He has also mentored numerous Ph.D., M.Sc., and undergraduate students and actively contributes to curriculum development. His ability to bridge academic research with practical, high-impact applications highlights his value as both a researcher and educator.

Research Interest

Dr. Mostafa’s research interests lie at the intersection of artificial intelligence and real-world problem-solving. His primary focus includes deep learning, explainable AI, machine learning, and human-in-the-loop systems, particularly in applications related to healthcare, biomedical signal analysis, smart agriculture, energy systems, and natural language processing. He has contributed significantly to advancing AI-driven diagnostics, such as in sleep disorder analysis, and to building predictive models for fields ranging from sports performance to restaurant sentiment analysis. He is also interested in the integration of AI into smart cities and infrastructure, including EV charging optimization and real-time decision systems. His interdisciplinary approach allows him to explore novel AI applications in medicine, agritech, and environmental systems. Combining theoretical modeling with applied innovation, Dr. Mostafa’s work seeks to create intelligent systems that are not only technically robust but also socially and economically impactful.

Award and Honor

Dr. Sheikh Shanawaz Mostafa has earned recognition throughout his academic and professional career for his contributions to research and education. While formal award listings are not detailed, his achievements—such as securing over $25,000 in competitive research funding, earning a Ph.D. with Distinction, publishing in high-impact journals, and successfully leading EU and industry-sponsored research projects—reflect significant professional recognition. His selection for collaborative international programs like the CMU-Portugal partnership, and his roles in innovative projects supported by organizations like the Portuguese Foundation for Science and Technology (FCT), further highlight his esteemed standing in the academic and research community. His work has also been showcased in prestigious venues, such as the Electronic Imaging conference in San Francisco. The impact of his research and mentorship, as well as the trust placed in him by academic and industrial collaborators, is a testament to his excellence and potential for future honors.

Conclusion

Dr. Sheikh Shanawaz Mostafa exemplifies the qualities of a leading interdisciplinary researcher, combining deep technical expertise with a commitment to solving real-world challenges through AI and engineering. His strong academic foundation, international experience, and impressive publication record reflect a sustained dedication to research excellence. He has not only led cutting-edge projects across healthcare, smart systems, and agriculture, but also mentored the next generation of scholars, thereby extending his impact. His adaptability across cultural and institutional contexts, successful collaborations with industry, and ability to secure research funding mark him as a forward-thinking and versatile contributor to the global scientific community. With a clear trajectory of growth, innovation, and leadership, Dr. Mostafa is highly deserving of recognition such as the Best Researcher Award and stands poised to make even greater contributions in the future.

Publications Top Notes

  • Title: A review of obstructive sleep apnea detection approaches
    Authors: F. Mendonca, S.S. Mostafa, A.G. Ravelo-Garcia, F. Morgado-Dias, T. Penzel
    Year: 2018
    Citations: 235

  • Title: An adaptive level dependent wavelet thresholding for ECG denoising
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad, M.A. Rashid
    Year: 2014
    Citations: 198

  • Title: A systematic review of detecting sleep apnea using deep learning
    Authors: S.S. Mostafa, F. Mendonça, A.G. Ravelo-García, F. Morgado-Dias
    Year: 2019
    Citations: 175

  • Title: Devices for home detection of obstructive sleep apnea: A review
    Authors: F. Mendonça, S.S. Mostafa, A.G. Ravelo-García, F. Morgado-Dias, T. Penzel
    Year: 2018
    Citations: 137

  • Title: A review of approaches for sleep quality analysis
    Authors: F. Mendonça, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-Garcia, T. Penzel
    Year: 2019
    Citations: 119

  • Title: SpO2 based Sleep Apnea Detection using Deep Learning
    Authors: S.S. Mostafa, F. Mendonça, F. Morgado-Dias, A. Ravelo-García
    Year: 2017
    Citations: 86

  • Title: Performance analysis of Savitzky-Golay smoothing filter using ECG signal
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad
    Year: 2011
    Citations: 79

  • Title: XGB-RF: A hybrid machine learning approach for IoT intrusion detection
    Authors: J.A. Faysal, S.T. Mostafa, J.S. Tamanna, K.M. Mumenin, M.M. Arifin, M.A. Awal, …
    Year: 2022
    Citations: 66

  • Title: Multi-objective hyperparameter optimization of CNN for obstructive sleep apnea detection
    Authors: S.S. Mostafa, F. Mendonca, A.G. Ravelo-Garcia, G.G. Juliá-Serdá, …
    Year: 2020
    Citations: 56

  • Title: Human emotion recognition using frequency & statistical measures of EEG signal
    Authors: M. Islam, T. Ahmed, S.S. Mostafa, M.S.U. Yusuf, M. Ahmad
    Year: 2013
    Citations: 50

  • Title: Implementation strategy of CNNs on FPGAs for appliance classification using VI trajectory
    Authors: D. Baptista, S.S. Mostafa, L. Pereira, L. Sousa, F. Morgado-Dias
    Year: 2018
    Citations: 47

  • Title: Automatic detection of cyclic alternating pattern
    Authors: F. Mendonça, A. Fred, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-García
    Year: 2022
    Citations: 39

  • Title: Optimization of sleep apnea detection using SpO2 and ANN
    Authors: S.S. Mostafa, J.P. Carvalho, F. Morgado-Dias, A. Ravelo-García
    Year: 2017
    Citations: 37

  • Title: An oximetry based wireless device for sleep apnea detection
    Authors: F. Mendonça, S.S. Mostafa, F. Morgado-Dias, A.G. Ravelo-García
    Year: 2020
    Citations: 30

  • Title: Design and optimization of ECG modeling for generating different cardiac dysrhythmias
    Authors: M.A. Awal, S.S. Mostafa, M. Ahmad, M.A. Alahe, M.A. Rashid, A.Z. Kouzani, …
    Year: 2021
    Citations: 26

Ammar Odeh | CyberSecurity | Best Researcher Award

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Assoc. Prof. Dr. Ammar Odeh | CyberSecurity | Best Researcher Award

Director of the Training and Consultation Center, Princess Sumaya University for Technology, Jordan

Dr. Ammar M. Odeh is an Associate Professor of Cybersecurity at Princess Sumaya University for Technology (PSUT), Jordan, with extensive experience in teaching, research, and technology development. Specializing in Cybersecurity, AI, and Blockchain, he has contributed significantly to the academic and industrial landscapes. Dr. Odeh earned his Ph.D. in Computer Science and Engineering from the University of Bridgeport, USA, in 2015, receiving the Phi Kappa Phi Award for academic excellence. He is passionate about advancing technological innovation and has been instrumental in designing student training programs, particularly in Cybersecurity. With a career spanning multiple countries, he has worked at universities in Jordan, Oman, Saudi Arabia, and the USA. His research spans Unicode Steganography, Wireless Networks, and Data Security. Dr. Odeh has also collaborated with industry giants such as Huawei and Orange, contributing to the development of advanced cybersecurity systems.

Profile

Google Scholar

Strengths for the Award

  1. Academic Excellence:
    • Dr. Odeh holds a Ph.D. in Computer Science and Engineering (specializing in Cybersecurity), awarded from the University of Bridgeport, USA, in 2015.
    • He has been recognized with multiple prestigious awards, such as the Phi Kappa Phi Award (2015) for academic excellence.
  2. Research Contributions:
    • Dr. Odeh has a strong research portfolio, with significant contributions to topics like steganography, machine learning, blockchain, AI, and cybersecurity. His research work, published in reputable journals and conferences, includes over 15 cited papers and is highly interdisciplinary.
    • Notable contributions include studies on phishing detection, electronic health record security, blockchain in healthcare, and malware detection.
    • He has been cited by multiple research papers and has contributed to advancing the application of technology in the cybersecurity, healthcare, and education sectors.
  3. Teaching and Training:
    • As an Associate Professor, Dr. Odeh’s teaching interests span Programming Languages, Data Communications, Operating Systems, and Cybersecurity, indicating a broad and deep technical skill set.
    • He has also contributed significantly to curriculum design and student training, particularly in Cybersecurity and AI. His role in training and liaising with industry giants like Orange and Huawei speaks to his practical influence in the tech space.
  4. Industry Engagement:
    • His active collaboration with industry players (such as Orange and Huawei) and his leadership of the training committee underscore his ability to bridge academic and practical applications, facilitating a strong link between the university and the tech industry.
    • His expertise in blockchain and AI in real-world contexts, such as healthcare, further illustrates his ability to contribute to and shape industry innovations.
  5. Leadership in Academia:
    • Dr. Odeh has led and participated in multiple academic committees at Princess Sumaya University for Technology (PSUT), including roles in graduation project committees and quality assurance committees. This shows his involvement in shaping the academic landscape and improving institutional practices.
  6. Impact on Research Community:
    • His work in human-computer interaction, steganography, and network security has not only resulted in technical advancements but has also been widely cited, indicating the impact of his research in the academic community.

Areas for Improvement

  1. Broader Collaborative Networks:
    • Although Dr. Odeh has demonstrated significant industry engagement, a broader range of international collaborations could further enhance his research profile. Engaging with top-tier research institutions globally and fostering collaborative international research projects might help him gain more visibility and influence in the global tech community.
  2. Increased Focus on Interdisciplinary Research:
    • While his research covers important aspects of cybersecurity, interdisciplinary approaches—incorporating more fields like social sciences or ethics in AI and cybersecurity—could further elevate his work. This would help address emerging global challenges like the ethical implications of AI, privacy concerns, and digital rights in an increasingly connected world.
  3. Grant and Funding Acquisition:
    • Dr. Odeh’s research portfolio is impressive, but a focus on obtaining large-scale research funding for interdisciplinary projects, especially in AI and cybersecurity, could amplify the impact of his work and provide more opportunities for cutting-edge projects with higher visibility.
  4. Broader Publication Outreach:
    • While his research is well-published, expanding the scope to higher-impact journals or collaborating with industry journals in areas like blockchain, IoT, and advanced AI security could increase the reach and recognition of his work in broader academic and professional circles.

Education 

Dr. Ammar M. Odeh’s academic journey began with a Bachelor’s degree in Computer Science from Hashemite University, Jordan (1999-2002). He then pursued a Master of Computer Science at the University of Jordan (2004-2006), where he honed his expertise in the field. In 2015, he completed his Ph.D. in Computer Science and Engineering at the University of Bridgeport in Connecticut, USA, with a focus on Cybersecurity. His doctoral research contributed to advancements in data security, wireless network protocols, and AI applications in cybersecurity. During his time at the University of Bridgeport, Dr. Odeh was awarded the prestigious Phi Kappa Phi Award for outstanding academic achievement. This academic foundation has enabled him to establish himself as a leading researcher and educator in Computer Science, particularly in the areas of AI, Blockchain, and Cybersecurity.

Experience 

Dr. Ammar M. Odeh has a diverse teaching and research background, with over 15 years of experience across multiple institutions. He currently serves as an Associate Professor in the Department of Computer Science at Princess Sumaya University for Technology (PSUT), Jordan, where he has been since 2019. Prior to his current role, he was an Assistant Professor at PSUT and University of AlMaarefa, Saudi Arabia (2015-2019), where he taught courses on Computer Security, Data Communications, and Programming Languages. Dr. Odeh’s early career included teaching roles at Sur College of Applied Science in Oman (2009-2011) and Philadelphia University in Jordan (2006-2009). He also worked as a Graduate Assistant/Research Assistant at the University of Bridgeport, USA, where he supported cybersecurity research and developed tools for data analysis and project evaluation. His wide-ranging experience in academia has made him a respected leader in his field.

Awards and Honors 

Dr. Ammar M. Odeh has received multiple awards and honors throughout his academic and professional career. Notably, he was awarded the prestigious Phi Kappa Phi Award in 2015 for outstanding academic performance at the University of Bridgeport. Dr. Odeh also received a Full Graduate Scholarship from the Computer Science Department at the University of Bridgeport (2012-2015). His work has been recognized with various other accolades, including the UPE Award in 2014. He is an active member of several professional societies, such as the IEEE Communications Society, IEEE Computer Society, ACM, and UPE. These memberships not only validate his expertise in Computer Science but also keep him connected to the latest developments in technology. Dr. Odeh’s ability to bridge academia and industry is reflected in his collaborations with major tech companies like Huawei and Orange, making him a leader in Cybersecurity and Blockchain research.

Research Focus 

Dr. Ammar M. Odeh’s research interests span a broad range of topics in Cybersecurity, AI, and Blockchain Technology. His primary focus includes Unicode Steganography, where he develops techniques for secure communication through hidden text in digital formats. He also explores Wireless Network Security, aiming to enhance data translation security across networks. Additionally, Dr. Odeh is dedicated to Human-Computer Interaction, improving the user experience through innovative security measures. He has contributed to research on the security and privacy of electronic health records, leveraging his expertise in AI and Machine Learning for more effective solutions in healthcare. Dr. Odeh has published several papers on the detection of phishing websites and malware, and his work on blockchain applications in the healthcare sector has garnered significant attention. His interdisciplinary approach to Cybersecurity and AI positions him as a prominent researcher in these rapidly evolving fields.

Publications 

  • Security and privacy of electronic health records: Concerns and challenges 🏥🔒
  • Machine learning techniques for detection of website phishing: A review for promises and challenges 🖥️🔍
  • Analysis of blockchain in the healthcare sector: Application and issues ⛓️💡
  • Performance evaluation of AODV and DSR routing protocols in MANET networks 🌐📶
  • Steganography by multipoint Arabic letters 🅰️🔤
  • PDF malware detection based on optimizable decision trees 📄⚙️
  • Detection in adverse weather conditions for autonomous vehicles via deep learning 🚗🌧️
  • Efficient detection of phishing websites using multilayer perceptron 🌐🛡️
  • Analysis of ping of death DoS and DDoS attacks 💻💥
  • Steganography in Arabic text using Kashida variation algorithm (KVA) 🇸🇦🔐
  • Quantum key distribution by using public key algorithm (RSA) 🔑📡
  • PHIBOOST – A novel phishing detection model using Adaptive boosting approach 📧⚡
  • Steganography in text by using MS Word symbols 📝🔑
  • A lightweight double-stage scheme to identify malicious DNS over HTTPS traffic using a hybrid learning approach 🌐🛡️
  • Security and privacy of electronic health records: Concerns and challenges 🏥🔐
  • Novel steganography over HTML code 🌍🔒
  • Ensemble-Based Deep Learning Models for Enhancing IoT Intrusion Detection 🤖📡
  • Efficient Mobile Sink Routing in Wireless Sensor Networks Using Bipartite Graphs 📡🌱
  • Impact of COVID-19 pandemic on education: Moving towards e-learning paradigm 💻📚

Conclusion

Dr. Ammar M. Odeh stands out as a leading researcher in his fields of specialization, particularly Cybersecurity, AI, and Blockchain. His impressive academic record, substantial research contributions, leadership in teaching and training, and active industry engagement make him a highly deserving candidate for the Best Researcher Award.While there are areas for growth in expanding his collaborative network and pursuing interdisciplinary research, his achievements to date reflect a dedication to advancing technology and education. Dr. Odeh’s work not only contributes to the academic community but also positively impacts industries such as healthcare, cybersecurity, and education.Given his strong credentials, extensive research output, and leadership in both academia and industry, Dr. Ammar Odeh is highly suitable for the Researcher of the Year Award.

Christos Roumeliotis | Computer Science | Young Scientist Award

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Mr. Christos Roumeliotis | Computer Science | Young Scientist Award

Electrical & Computer Engineering University of Western Macedonia Greece

Christos Roumeliotis is an accomplished Electrical and Computer Engineer specializing in Biomedical Technology, Healthcare, and Blockchain applications in energy. With a keen entrepreneurial spirit, he has been recognized in Forbes 30 Under 30 Greece and is an active member of the IEEE. As a young leader, he has held notable positions in the IEEE Student Branch and worked in various technology-driven roles.

Profile

Orcid.org

🎓 Education:

Christos completed his integrated MSc in Electrical and Computer Engineering from the University of Western Macedonia (UoWM). His academic journey has been complemented by a Reciprocal Scholarship and active participation in IEEE initiatives.

💼 Experience:

Christos serves as a Business Development Partner at Because Group, focusing on innovative marketing solutions. He co-founded Innovation Bee, where he leads as CEO, providing strategic AI-driven solutions across industries. He also co-founded Gridustry, a blockchain-based energy certification and trading company, aiming to optimize green energy market systems.

🔬 Research Interests:

Christos’s research spans Biomedical Technology for health solutions, Blockchain in energy, and smart contracts. His projects include blockchain-based Peer-to-Peer Energy Trading, green certificates, and a non-invasive wearable for Multiple Sclerosis monitoring.

🏆 Awards:

  • IEEE CS 20 in their 20s List (2023): Recognized among emerging leaders in Computer Science and Engineering.
  • Forbes 30 Under 30 Greece (2023): Featured among Greece’s dynamic young professionals.
  • Green Cities Competition (2022): Won 2nd place for innovative solutions in sustainable city development.

📄 Publications Top Notes:

“A Comprehensive Survey of Blockchain in IoT,” 2024. Intelligent Computing on IoT 2.0, Taylor & Francis. Co-authored with Konstantina Banti and others, this survey highlights IoT innovations and blockchain applications across industries.

“Blockchain and Digital Twins in Smart Industry 4.0,” 2024. Designs, DOI. This review discusses blockchain-integrated digital twins, analyzing Industry 4.0 applications and benefits.

Ali Reza ALAEI | Computer Science | Interdisciplinary Research Excellence Award

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Assist Prof Dr. Ali Reza ALAEI | Computer Science | Interdisciplinary Research Excellence Award

Faculty of Science and Engineering at Southern Cross University, Australia

Dr. Ali Reza Alaei is a PhD graduate specializing in computer science, focusing on Big Data analysis, sentiment extraction, image processing, and biometric systems. With a strong research background and extensive teaching experience, he is currently a Senior Lecturer at Southern Cross University, where he aims to lead impactful research projects and academic initiatives.

Profile 

Scopus profile

Education 🎓

Dr. Alaei obtained his PhD in Computer Science from the University of Mysore, India, in 2012, where his thesis focused on the “Automatic Segmentation of Persian Handwritten Texts Enabling Accurate Recognition.” He also earned a Master’s degree in Computer Science from the same institution in 2007, where he researched the “Recognition of Persian/Arabic Numerals Using Feature Reduction and Distance Measure.”

Experience 🧑‍🏫

With over 20 years of academic experience, Dr. Alaei has held various positions, including Senior Lecturer at Southern Cross University since January 2023 and Lecturer at the same institution from October 2018 to December 2022. His previous roles include Research Fellow at Griffith University, Postdoctoral Research Fellow at LI-RFAI in France, and PhD Scholar at the University of Mysore. His career has been marked by significant contributions to both teaching and research.

Research Interests 🔍

Dr. Alaei’s research interests encompass Big Data analysis, statistical data modeling, human perception modeling, image processing, document image analysis and recognition, and biometric authentication. He aspires to further explore sentiment analysis, human perception understanding, and intelligent technologies through machine learning and vision applications.

Awards 🏆

Dr. Alaei has received several academic honors, including ranking 113th in the national examination of Iranian Universities for B.Sc. entrance and achieving the second rank in his M.Sc. program. He was awarded the best paper award at the International Conference on Cognition and Recognition in 2008 and received accolades for his outstanding performance as a graduate student in India.

Publications 📚

Dr. Alaei has an extensive publication record with 29 journal articles, 39 conference papers, and a total of 70 publications. Some notable peer-reviewed articles include:

  1. Document Image Quality Assessment: A Survey – ACM Computing Survey, 2024. Cited by: 2432.
  2. Review of age and gender detection methods based on handwriting analysis – Neural Computing & Applications, 2023.
  3. Sentiment analysis in tourism: Capitalising on Big Data – Journal of Travel Research, 2019. Cited by: 564.
  4. Revisiting Tourism Destination Image: A Holistic Measurement Framework Using Big Data – Journal of Travel Research, 2022.

Conclusion ✅

Dr. Ali Reza Alaei is an accomplished researcher and educator, dedicated to advancing the fields of Big Data analysis, image processing, and biometrics. With a robust track record of research and teaching, he continues to contribute significantly to academia and the broader scientific community.

Haiyan Kang | Network security | Best Researcher Award

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Prof Dr Haiyan Kang | Network security | Best Researcher Award 

Prof Dr Haiyan Kang  , Beijing Information Science and Technology University , China

Kang Haiyan, a prominent Chinese researcher, was born in China and currently serves as a professor in the Department of Information Security at Beijing Information Science and Technology University. A senior member of the China Computer Federation and the ACM, he has been recognized as an outstanding talent in Beijing. With a Ph.D. in computer application technology from the Beijing Institute of Technology (2005), he is also an executive member of the Privacy Protection Committee of the China Confidentiality Association. Kang’s contributions to education have earned him multiple teaching awards, and he is noted for his mentorship of graduate students. His extensive research has garnered numerous provincial and ministerial awards, alongside 20 patents. Kang has authored over 110 academic papers and six monographs, making significant strides in network security, blockchain, and privacy protection.

Publication Profile

Scopus

Strengths for the Award

Kang Haiyan’s impressive academic and professional achievements make him a strong candidate for the Best Researcher Award. With over 110 published academic papers and six monographs, his prolific output demonstrates a significant commitment to advancing knowledge in the fields of network security, blockchain technology, and privacy protection. His research has garnered six provincial and ministerial level awards, reflecting his impact within the academic community. Kang’s leadership as a professor and his role as chief of a national first-class major in information security further emphasize his dedication to education and mentorship. Additionally, his executive position in the Privacy Protection Committee of the China Confidentiality Association showcases his influence in shaping policies and practices in the domain of privacy protection.

Areas for Improvement

While Kang’s research output is commendable, there is room for broader international collaboration, which could enhance the global relevance of his work. Increasing engagement in interdisciplinary research could also provide innovative perspectives on complex security issues. Furthermore, focusing on enhancing public outreach and education regarding privacy issues could amplify the societal impact of his research.

Education 

Kang Haiyan obtained his Ph.D. in Computer Application Technology from the Beijing Institute of Technology in 2005, where he developed a strong foundation in information security and computer science. His doctoral research focused on advanced computing technologies, setting the stage for his subsequent contributions to the field. Throughout his academic journey, Kang has continually pursued knowledge in various aspects of information security, including network security and privacy protection. He has engaged in various professional development programs and has been recognized for his outstanding academic performance. His educational background equips him with both theoretical knowledge and practical skills, enabling him to tackle complex problems in his research. This strong educational foundation, combined with his continuous pursuit of knowledge, has significantly shaped his career as an educator and researcher, leading to his recognition as a leading figure in the domain of information security.

Experience 

Kang Haiyan has amassed extensive experience in academia and research over his career. Currently a professor at Beijing Information Science and Technology University, he leads the Department of Information Security, overseeing the national first-class major in information security. As an editorial board member of the Journal of Information Security Research and an expert reviewer for the National Key Research and Development Program, he plays a crucial role in shaping research direction in the field. His involvement with the China Computer Federation and the ACM highlights his commitment to advancing computer science. Kang has also contributed significantly to teaching, having received multiple awards for his instructional excellence, including national and local teaching achievement prizes. His mentorship has positively impacted many graduate students, further extending his influence in academia. With a solid background in research and teaching, he has become a respected leader in the information security landscape.

Research Focus 

Kang Haiyan’s research focuses on critical areas within information security, including network security, blockchain technology, and privacy protection. His work in network security investigates innovative methodologies for safeguarding data and mitigating cyber threats. Kang’s exploration of blockchain technologies aims to enhance the security and integrity of digital transactions. A significant aspect of his research is the development of privacy-preserving techniques, particularly through differential privacy and federated learning approaches, which have gained increasing importance in today’s data-driven world. His contributions have led to the publication of over 110 academic papers and numerous patents, reflecting his commitment to advancing knowledge in these fields. Additionally, his work addresses real-world challenges, ensuring that his research has practical applications. As he continues to explore emerging trends and technologies, Kang remains dedicated to fostering a secure and privacy-conscious digital environment.

Publications Top Notes

  1. Kang Haiyan, Wang Jiakang. Swarm Mutual Learning 🐝
  2. Kang Haiyan, Wang Xiaoshi. Research on the Deep Learning Method Based on Data Feature Relevance and Adaptive Differential Privacy 📊
  3. Kang Haiyan, Ji Shanshan. Hierarchical Stackelberg Game Swarm Learning Incentive Method for Wireless Edge Network 📡
  4. Xiaoying Qiu, Haiyan Kang, et al. A Privacy-Preserving and Intelligent Authentication Scheme for Next Generation-CPS 🔒
  5. Wu Jing, Haiyan Kang. An effective ISDPR rumor propagation model on complex networks 📈
  6. Kang Haiyan, Ji Yuanrui. Research on Time-Serial Location Data Publication Based on Local Differential Privacy 🗺️
  7. Kang Haiyan, Long Molan. Research on network attack analysis method based on attack graph of absorbing Markov chain 📉
  8. Kang Haiyan, Yange Yujie. An Enhanced Detection Method of PCB Defect Based on D-DenseNet 🖥️
  9. Yang Yujie, Kang Haiyan. An Enhanced Detection Method of PCB Defect Based on Improved YOLOv7 🔍
  10. Kang, H., Li, Y., Zhang, S. An effective differential privacy protection method of location data based on perturbation loss constraint 🛡️
  11. Kang Haiyan, Deng Jie. A cross encryption scheme for data security storage in cloud computing environment ☁️
  12. Kang Haiyan, Feng Yaping, et al. Research on personalised privacy-preserving model of multi-sensitive attributes 🛡️
  13. Kang Haiyan, Ji Yuanrui, Zhang Shuxuan. Enhanced Privacy Preserving for Social Networks Relational Data Based on Personalized Differential Privacy 🔐

Conclusion

Kang Haiyan’s contributions to information security and his dedication to teaching and mentorship position him as a leading figure in his field. His extensive publication record, coupled with numerous accolades, demonstrates his commitment to advancing research and education. By addressing potential areas for improvement, he could further enhance his impact on both the academic community and society at large, making him a deserving candidate for the Best Researcher Award.

 

Miin-Shen Yang | Computer Science | Best Researcher Award

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Prof Dr. Miin-Shen Yang | Computer Science | Best Researcher Award

Distinguished Professor,Chung Yuan Christian University, Taiwan

👨‍🏫 Miin-Shen Yang is a distinguished scholar and professor specializing in applied mathematics and artificial intelligence. He has made significant contributions to fuzzy clustering, machine learning, and soft computing. Currently serving as a Life Distinguished Professor at Chung Yuan Christian University (CYCU), Taiwan, Dr. Yang is highly regarded in the scientific community for his innovative research. He is also recognized among the top 0.5% of scholars globally by ScholarGPS and Stanford University’s Top 2% Scientists.

Publication Profile

ORCID

Strengths for the Award:

  1. Extensive Academic Background: Miin-Shen Yang has earned degrees in mathematics and statistics from prestigious institutions, with a Ph.D. from the University of South Carolina, USA. His long-standing association with Chung Yuan Christian University (CYCU), Taiwan, adds to his academic credibility.
  2. Research Impact: His research areas—statistics, clustering algorithms, fuzzy clustering, soft computing, pattern recognition, and machine learning—are crucial in modern scientific and technological advancements, especially in the AI-driven era.
  3. Global Recognition: Miin-Shen Yang’s inclusion in Stanford University’s Top 2% Scientists and ScholarGPS’s global top 0.5% demonstrates the international recognition of his work and significant contributions to artificial intelligence, image processing, and related fields.
  4. Editorial Roles: He served as an Associate Editor for IEEE Transactions on Fuzzy Systems and remains on the Editorial Board of Electronics (MDPI). These roles show his influence in shaping scientific discourse in his fields of expertise.
  5. Leadership in Academia: As a Distinguished Professor and previous Chairperson and Dean of the College of Science at CYCU, he has demonstrated not only research expertise but also leadership in academic governance.

Areas for Improvement:

  1. Broader Collaborations: While Miin-Shen Yang’s contributions are notable in the fields of applied mathematics and artificial intelligence, there could be a stronger emphasis on collaborative projects across interdisciplinary fields such as biostatistics or environmental data science, which are becoming increasingly critical for global research challenges.
  2. Applied Research and Industry Connections: Strengthening connections between his academic research and real-world industrial applications could further enhance the societal impact of his work, especially in sectors like healthcare, energy, or environmental sustainability where AI and machine learning are emerging as transformative tools.
  3. Public Engagement and Outreach: Additional efforts to disseminate his research through public engagement activities, workshops, or conferences that target both academic and non-academic audiences could raise the visibility and practical applicability of his findings.

Education

🎓 Miin-Shen Yang holds a B.S. in Mathematics from Chung Yuan Christian University (1977), an M.S. in Applied Mathematics from National Chiao-Tung University (1980), and a Ph.D. in Statistics from the University of South Carolina, Columbia, USA (1989).

Experience

💼 Dr. Yang joined CYCU in 1989 and became a Professor in 1994. He has held several key positions, including Department Chair, Director of the Chaplain’s Office, and Dean of the College of Science. He also served as a Visiting Professor at the University of Washington from 1997 to 1998.

Research Focus

🔬 Dr. Yang’s research interests span applications of statistics, fuzzy clustering, machine learning, soft computing, pattern recognition, and artificial intelligence. His contributions have significantly advanced clustering algorithms and AI-related technologies.

Awards and Honors

🏅 Dr. Yang has been recognized among Stanford University’s Top 2% Scientists and listed among ScholarGPS global top 0.5% scholars. He has also served as an Associate Editor for IEEE Transactions on Fuzzy Systems and is currently an Editorial Board Member for the journal Electronics.

Publications (Top Notes)

📚 Dr. Yang has published extensively on fuzzy clustering and artificial intelligence in leading journals. His works have been widely cited, marking his influence in the field.

“Fuzzy Clustering Algorithms and Applications” – Published in 2015 in Pattern Recognition Letters. Cited by 100+ articles

Conclusion:

Miin-Shen Yang is an exceptional candidate for the Research for Best Research Award, with a strong and diversified research portfolio in applied mathematics, artificial intelligence, and machine learning. His global recognition, academic leadership, and editorial contributions demonstrate his significant impact on the scientific community. While further strengthening his research collaborations across broader disciplines and emphasizing real-world applications could enhance his overall impact, his current achievements make him a highly competitive and deserving nominee for the award.