Regner Sabillon | Computer Science | Best Researcher Award

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Prof. Regner Sabillon | Computer Science | Best Researcher Award

UNIR | Canada

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🌱 Early Academic Pursuits

Prof. Regner Sabillon's academic journey began with a foundation in aeronautics and aviation, sparking his early interest in technology and systems. Starting with a Bachelor of Science in Aeronautical Sciences from the Universidad de Defensa de Honduras, he laid the groundwork for a career that would span multiple domains. His educational path broadened as he pursued another bachelor's degree in Computer Science at the Universidad de San Pedro Sula, allowing him to pivot towards the growing field of computing and technology. These studies ultimately evolved into a deeper engagement with knowledge systems, leading to a Master’s degree from Universitat Oberta de Catalunya in Knowledge and Information Society and later, an MBA in Information Technology from Universidad Politécnica de Madrid. Currently, he is a PhD candidate in Computer Science at Universidad Internacional de La Rioja, aiming to solidify his expertise in advanced computing.

💼 Professional Endeavors

Prof. Sabillon’s career spans over three decades across diverse roles and sectors. From his early service as a fighter pilot in the Honduran Air Force, he transitioned to civilian roles, emphasizing IT, cybersecurity, and academia. As a Lead Cybersecurity Professor and Analyst at the Southern Alberta Institute of Technology (SAIT), and an Academic Expert at Athabasca University, he shares his expertise in computer science and cybersecurity. He also serves as a Lead Consultant for ICARUS IT Solutions, bringing his insight to the private sector. His positions reflect a unique blend of military discipline, technical acumen, and academic mentorship, making him a valuable asset across institutions and industries.

📚 Contributions and Research Focus

Prof. Sabillon is deeply committed to advancing the field of cybersecurity. His work as a certified Cybersecurity Analyst and IT professional has led him to focus on data protection, information security, and network architecture. His research and teaching have impacted areas like risk management, privacy solutions, and the governance of enterprise IT systems. Additionally, his certifications, including Cisco’s CyberOps Associate, Certified Data Privacy Solutions Engineer (CDPSE), and ISO/IEC 27032, highlight his dedication to staying at the forefront of the ever-evolving cybersecurity landscape.

🏆 Accolades and Recognition

Throughout his career, Prof. Sabillon has earned multiple certifications and recognitions that attest to his expertise. His qualifications from international bodies, including ISACA, IATA, and the International Civil Aviation Organization, underscore his extensive experience and the high regard in which his peers hold him. His certifications as an IT administrator, cybersecurity manager, and data privacy engineer place him among an elite group of professionals capable of addressing complex security challenges in both public and private sectors.

🌍 Impact and Influence

Prof. Sabillon’s impact is far-reaching, particularly in the realms of IT education and cybersecurity. His role as a bilingual examiner for Industry Canada and as an academic expert has helped mold future generations of IT professionals. His work influences students, industry stakeholders, and government bodies, bridging critical gaps in cybersecurity knowledge and practice.

🏅 Legacy and Future Contributions

As Prof. Sabillon continues his doctoral studies, he is poised to make further contributions to both cybersecurity theory and practice. His combined experience in the military, academia, and the IT industry uniquely positions him to lead groundbreaking research and innovation in cybersecurity. His legacy will likely include pioneering strategies for data protection and a new generation of cybersecurity professionals trained under his guidance. His future work promises to address pressing global challenges in information security, leaving a lasting impact on the field and beyond.

 

Publications

📄 "Assessing the Effectiveness of Cyber Domain Controls When Conducting Cybersecurity Audits: Insights from Higher Education Institutions in Canada"

  • Author: Sabillon, R., Higuera, J.R.B., Cano, J., Higuera, J.B., Montalvo, J.A.S.
  • Journal: Electronics (Switzerland)
  • Year: 2024

📄  "Planning and Conducting Cybersecurity Audits to Assess the Effectiveness of Controls"

  • Author: Sabillon, R., Barr, M.
  • Conference: SysCon 2024 - 18th Annual IEEE International Systems Conference
  • Year: 2024

📄  "The Importance of Cybersecurity Awareness Training in the Aviation Industry for Early Detection of Cyberthreats and Vulnerabilities"

  • Author: Sabillon, R., Bermejo Higuera, J.R.
  • Series: Lecture Notes in Computer Science (including Lecture Notes in Artificial Intelligence and Bioinformatics)
  • Year: 2023

📄  "New Validation of a Cybersecurity Model to Audit the Cybersecurity Program in a Canadian Higher Education Institution"

  • Author: Sabillon, R., Bermejo Higuera, J.R.
  • Conference: 2023 Conference on Information Communications Technology and Society (ICTAS)
  • Year: 2023

📄  "Delivering Effective Cybersecurity Awareness Training to Support the Organizational Information Security Function"

  • Author: Sabillon, R.
  • Book: Research Anthology on Privatizing and Securing Data
  • Year: 2021

 

Luis Cavique | Computer Science | Best Research Award

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Prof. Luis Cavique | Computer Science | Best Research Award

Universidade Aberta | Portugal

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Early Academic Pursuits 🎓

Prof. Luís Cavique began his academic journey with a strong foundation in Computer Science, earning a degree in Computer Science Engineering in 1988 from the Faculty of Science and Technology at the New University of Lisbon. His pursuit of advanced knowledge continued with a Master’s in Operational Research and Systems Engineering in 1994 from the Instituto Superior Técnico, Technical University of Lisbon, where he focused on complex problems like crew scheduling. His academic commitment culminated in 2002 with a PhD in Engineering Systems, where he explored meta-heuristics for the Maximum Clique Problem, emphasizing applications in market basket analysis. This robust educational background set the stage for a career marked by analytical depth and academic rigor.

Professional Endeavors 👨‍🏫

Prof. Cavique’s teaching career spans several decades, beginning in 1991 in the Polytechnic Education System in Portugal, where he held adjunct positions at Setúbal and Lisbon Polytechnic Institutes until 2008. Since then, he has served as an Assistant Professor with tenure at the Universidade Aberta, focusing on computer science within the Department of Sciences and Technology. His dedication to fostering knowledge extends to graduate and doctoral levels, where he teaches courses such as Data Mining, Social Network Analysis, and Optimization. Beyond academia, Prof. Cavique also gained hands-on experience in the banking sector as a Systems Engineer at Banco Pinto & Sotto Mayor and through internships at prominent institutions like Banco Espírito Santo and the National Laboratory of Civil Engineering.

Contributions and Research Focus 🔍

With a strong interdisciplinary approach, Prof. Cavique’s research bridges Computer Science and Engineering Systems, focusing primarily on heuristic optimization and data mining. His work has addressed three core data mining challenges: classification, association, and segmentation. Notable publications include groundbreaking algorithms and tools, such as the LAID algorithm for classification, Ramex for association in financial product analysis, and ComDetection for community detection in social networks. These contributions have positioned Prof. Cavique at the forefront of data-driven research, and his methods are applied widely in sectors requiring complex data analysis.

Accolades and Recognition 🏆

Prof. Cavique's scholarly work has been recognized internationally, with several of his papers published in prestigious journals. His 1999 paper on crew scheduling received the IFORS-Lisbon Prize in 2000 from the Association of Operational Research in Portugal (APDIO). Many of his publications are highly cited, with articles featured in Q1-ranked journals, illustrating the high impact and quality of his research. His dedication to advancing data mining and optimization has earned him both peer recognition and a strong citation record, showcasing his influence in these fields.

Impact and Influence 🌍

Throughout his career, Prof. Cavique has made a lasting impact on the fields of data mining and heuristic optimization. His research has influenced approaches in financial analytics, community detection in social networks, and data reduction techniques, providing foundational tools and algorithms that are utilized in academia and industry alike. His methodologies have empowered researchers and practitioners in various domains to make informed, data-driven decisions, underscoring his role as a pioneer in computational research.

Legacy and Future Contributions 🌟

As a leading academic and researcher, Prof. Cavique’s legacy is defined by his contributions to both knowledge and education in computer science. His focus on heuristic optimization and data mining continues to inspire new research, particularly in emerging fields such as bioinformatics and social network analysis. His commitment to teaching and mentoring the next generation of scientists ensures that his impact will extend well into the future, enriching the scientific community and driving innovation in computational methods.

 

Publications

  • 📝 Mitigating false negatives in imbalanced datasets: An ensemble approach
    Authors: Marcelo Vasconcelos; Luís Cavique
    Journal: Expert Systems with Applications
    Year: 2024
  • 📝 Assessment in Collaborative Learning
    Authors: Luis Cavique; M. Rosário Ramos
    Journal: Revista de Educación a Distancia (RED)
    Year: 2024

 

Massimo Bertaccini | Computer Science | Best Innovation Award

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Dr. Massimo Bertaccini | Computer Science | Best Innovation Award

Cryptolab Inc | United States

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Early Academic Pursuits 🎓

Dr. Massimo Bertaccini's journey into cryptography and cybersecurity began with a strong foundation in finance and mathematics. He obtained his Bachelor’s degree in Science of Finance from the University of Bologna, where he developed an early interest in computational finance and its applications. This passion led him to pursue a Ph.D. in Mathematics and Computational Finance, further honing his skills in cryptographic algorithms and secure data management techniques. Through advanced studies, he acquired a robust technical background that later shaped his career in cyber innovation and cryptographic research.

Professional Endeavors 🚀

Dr. Bertaccini has made significant strides in the field of cryptography. In 2009, he founded Cryptolab, a research laboratory focused on pioneering solutions in cryptography, blockchain, and cybersecurity. His innovative leadership at Cryptolab attracted substantial financial backing from private investors, international venture capitalists, and the European Union. Under his guidance, Cryptolab earned recognition as one of the best cybersecurity start-ups in California in 2023. Dr. Bertaccini also served as CEO for PrimeCash, contributing to his reputation as an expert in both cybersecurity and cryptographic finance. His experience includes consulting in finance and security, holding academic roles, and serving as a contract professor at EMUNI University and a lecturer in national cybersecurity programs.

Contributions and Research Focus 📚

Throughout his career, Dr. Bertaccini has focused on advancements in cryptographic algorithms and secure data systems. His groundbreaking work led to the development of the first Homomorphic Crypto-Searching-Engine (CSE), a revolutionary tool that allows encrypted data to be searched without compromising security or privacy. His research interests encompass areas such as symmetric and asymmetric encryption, blockchain, zero-knowledge protocols, and quantum cryptography. He holds several patents, including those in homomorphic encryption, zero-knowledge protocols, and innovative brain-wave authentication technologies. In addition, he is a published author of numerous scientific articles and has written the popular book Cryptography Algorithms, which has been widely recognized in cryptographic literature.

Accolades and Recognition 🏆

Dr. Bertaccini’s pioneering contributions have been celebrated globally. His book Cryptography Algorithms became a #1 bestseller on Amazon Worldwide in 2022, staying in the top 10 for cryptography literature for 40 weeks. He has received numerous prestigious awards, including the "Inventors of Silicon Valley" award by the U.S. Patent and Trademark Office in 2016 and the "Seal of Excellence" by Horizon 2020 in 2017, 2018, and 2019. In 2023, he was honored with the American Innovation Prize by the Italian-American Foundation, further cementing his status as a leading figure in the field.

Impact and Influence 🌐

Dr. Bertaccini has had a profound impact on the fields of cybersecurity and cryptography. His innovations have set new standards for data security, influencing policies on GDPR compliance and data privacy. His Homomorphic Crypto-Searching-Engine has inspired advancements in data encryption, particularly for GDPR-compliant technologies. Through his international speaking engagements at conferences like CES Las Vegas, he has shared his insights on cybersecurity trends and cryptographic solutions, shaping the future of data security practices. His work has also contributed to building resilient infrastructure for smart cities and secure digital frameworks.

Legacy and Future Contributions 🔮

Looking to the future, Dr. Bertaccini’s vision continues to push the boundaries of cybersecurity and cryptographic applications. His upcoming project, Brain_Waves, is a neural interface designed to authenticate users through brainwave recognition, a groundbreaking step in neural cryptography. His legacy will likely endure through both his published works and the widespread adoption of his cryptographic patents. Dr. Bertaccini remains dedicated to advancing cybersecurity, blockchain, and cryptographic innovations, setting a lasting example for future generations of researchers and cybersecurity professionals.

 

Publications

📘 Cryptography Algorithms 2nd Edition: Explore New Algorithms in Zero-Knowledge, Homomorphic Encryption, and Quantum Cryptography

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2024

📘 An Introduction to a New Lightweight Encryption Algorithm: Cybpher

Author: JW Massimo Bertaccini Ph.D.
Publication: Cryptography Algorithms 2nd Edition
Year: 2023

📘 Cryptography Algorithms: A Guide to Algorithms in Blockchain, Quantum Cryptography, Zero-Knowledge Protocols, and Homomorphic Encryption

Author: M. Bertaccini
Publisher: Packt Publishing Ltd
Year: 2022

 

Ousmane Thiare | Computer Science | Best Scholar Award

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Prof Dr. Ousmane Thiare | Computer Science | Best Scholar Award

Université Gaston Berger | Senegal

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Early Academic Pursuits 🎓

Professor Ousmane Thiare's academic journey began at Gaston Berger University (UGB), Senegal, a prestigious institution where he would later spend much of his career. He joined UGB in 1994 and demonstrated academic excellence, earning a Diploma of Advanced Studies (DEA) in Applied Mathematics in 2000. Eager to expand his knowledge, he continued his studies abroad at the Polytechnic School of the François Rabelais University of Tours (Polytech'Tours), obtaining a second DEA in Computer Science in 2002. His academic pursuits culminated in 2007 when he earned a Doctorate in Computer Science from CY Cergy Paris University in France.

Professional Endeavors 👨‍🏫

After completing his studies, Professor Thiare embarked on a teaching career that began right at the institution where he was trained, UGB. In 2002, he started as a Full Assistant in Computer Science. His dedication and expertise quickly saw him rise through the ranks, becoming an Assistant Professor in 2008 and later a Lecturer with Accreditation (HDR) from 2010 to 2015. Beyond Senegal, his teaching experience extended to Nigeria, where he served as an Associate Professor at the African University of Science and Technology (AUST) in Abuja from 2014. In 2015, Professor Thiare was promoted to Full Professor at UGB, a position of immense respect. By April 2021, he was further recognized as a Full Professor of Exceptional Class of Universities, underscoring his contributions to academia.

Contributions and Research Focus 🔬

Professor Thiare's contributions extend beyond teaching. His research spans critical areas such as Computer Science, Information and Communication Technologies (ICT), and Mathematics. As Head of the Computer Science Department at UGB's UFR of Applied Sciences and Technology between 2007 and 2009, he influenced the direction of academic programs. He was instrumental in coordinating the Third Cycle in Computer Science in 2011 and later served as Director of the Ousmane Seck Computing Center from 2013. From 2017 to 2020, Professor Thiare led the African Center of Excellence for Mathematics, Computer Science, and ICT (CEA-MITIC), a World Bank-funded project aimed at providing world-class education in STEM fields. His leadership in this $8 million initiative was crucial in developing skilled professionals in ICT, Computer Science, and Mathematics across Africa.

Accolades and Recognition 🏅

Professor Thiare’s accomplishments have garnered numerous accolades. In 2021, he was elected as a Full Member of the National Academy of Sciences and Technology of Senegal (ANSTS), in the Fundamental, Applied, and Innovation Sciences (SFAI) section, recognizing his significant contributions to science and technology. As an Expert Evaluator for the National Authority for Quality Assurance of Higher Education (ANAQ-Sup) since 2014, he has contributed to maintaining high educational standards across Senegal. He also serves on the Scientific and Pedagogical Council of the Doctoral School of Science and Technology at UGB, reflecting his influence in shaping future academic research and educational programs.

Impact and Influence 🌍

From May 2018 to March 2023, Professor Thiare served as Rector of Gaston Berger University, leading one of Senegal's foremost institutions. As Rector, he played a pivotal role in guiding the university’s academic programs, fostering partnerships with international institutions, and ensuring the adoption of cutting-edge technologies to make UGB globally competitive. His role as Principal Authorizing Officer of UGB’s budget allowed him to influence not only academic policy but also the strategic use of financial resources to promote education and research. Under his leadership, UGB also spearheaded major projects such as the Mastercard Foundation Scholars Program, which secured nearly $38 million in funding to train 1,000 scholars, 70% of whom are women, in digital technology, health, agriculture, and engineering by 2031. This initiative has empowered young African talents to make meaningful contributions to their communities.

Legacy and Future Contributions 🌟

Professor Thiare's legacy as a trailblazer in African higher education is well-established. Through his work at CEA-MITIC, UGB, and various national and international platforms, he has helped shape the landscape of STEM education in Africa. His dedication to improving the quality of higher education, combined with his strategic leadership in academic programs and technological innovation, has left an indelible mark.

 

Publications

📄 Hardware Development and Evaluation of Multihop Cluster-Based Agricultural IoT Based on Bluetooth Low-Energy and LoRa Communication Technologies
Authors: Effah, E., Ghartey, G., Aidoo, J.K., Thiare, O.
Journal: Sensors
Year: 2024

📄 Data collection in IoT networks: Architecture, solutions, protocols and challenges
Authors: Abba Ari, A.A., Aziz, H.A., Njoya, A.N., Thiare, O., Mohamadou, A.
Journal: IET Wireless Sensor Systems
Year: 2024

📄 A comparative study of Machine Learning and Deep Learning methods for flood forecasting in the Far-North region, Cameroon
Authors: Dtissibe, F.Y., Ari, A.A.A., Abboubakar, H., Mohamadou, A., Thiare, O.
Journal: Scientific African
Year: 2024

📄 Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges
Authors: Abba Ari, A.A., Ngangmo, O.K., Titouna, C., Mohamadou, A., Gueroui, A.M.
Journal: Applied Computing and Informatics
Year: 2024

📄 A collaborative WSN-IoT-Animal for large-scale data collection
Authors: Abdoul Aziz, H., Abba Ari, A.A., Ndam Njoya, A., Mohamadou, A., Thiare, O.
Journal: IET Smart Cities
Year: 2024

 

Xinhai Wang | Computer Science | Best Researcher Award

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Mr. Xinhai Wang | Computer Science | Best Researcher Award

Northeastern University | China

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Early Academic Pursuits 🎓

Mr. Xinhai Wang's academic journey began with an undergraduate degree in Mathematics and Applied Mathematics from Northeastern University, where he achieved a GPA of 3.81/5. His academic excellence earned him several accolades, such as the "Outstanding Student Cadre" and "Three Good Students" awards, reflecting his dedication to both academics and extracurricular activities. Wang was actively involved in numerous projects during his undergraduate years, honing his skills in advanced algebra, data mining, and mathematical modeling, laying the groundwork for his future endeavors.

Professional Endeavors 🏆

In September 2022, Xinhai Wang assumed the role of monitor for Northeastern University's Master of Science Class 2201, demonstrating exemplary leadership and organizational skills. His work extended beyond the classroom, where he helped in the construction of class activities and assisted in Party branch operations. Wang was awarded the honorary title of Outstanding Graduate Student Cadre for his relentless efforts in promoting student engagement and fostering a collaborative environment. As a deputy director in the Project Development Department of the Social Practice Department, he organized impactful student initiatives such as charity sales, making significant contributions to the student community.

Contributions and Research Focus 🔬

Mr. Wang's contributions to academia and research are vast, with his work primarily centered on applying advanced algorithms in real-world scenarios. He has engaged in several high-level projects, including the application of genetic algorithms in mobile chess and using deep learning techniques like Deep Q Networks for stock market predictions. His research has tackled challenges in time series prediction, exploring fractional order random configuration networks (FSCN) to address the inherent non-stationarity in real-world data. These projects showcase his technical expertise in MATLAB and Python, alongside his growing knowledge of reinforcement learning and machine learning.

Accolades and Recognition 🏅

Xinhai Wang's academic brilliance has been recognized throughout his career, both during his undergraduate and graduate studies. His GPA of 3.40/4 ranked him 2nd in his class, further earning him prestigious honors such as the President Scholarship and First-Class Academic Scholarship. His leadership in class and organizational roles has led to multiple "Outstanding Class Cadre" awards. Wang's academic achievements extend beyond his GPA and awards, with his research work being submitted to conferences and awaiting SCI journal reviews, positioning him as a rising star in applied statistics and data science.

Impact and Influence 🌟

Through his roles in student governance and research, Wang has had a lasting impact on both his peers and the academic community. He has innovated branch activities, guided students in social practice initiatives, and created platforms for broader engagement in scientific and social matters. His research endeavors, such as the application of deep learning to stock prediction and time series analysis, contribute to the growing body of knowledge in the field of statistical modeling and artificial intelligence, influencing future technological advancements.

Legacy and Future Contributions 💡

Mr. Xinhai Wang's journey reflects a commitment to excellence in academic leadership, research, and innovation. As he continues to explore the boundaries of machine learning, algorithm design, and data modeling, his future contributions will likely have a profound effect on emerging fields like stock prediction and industrial data analysis. His ongoing projects in MATLAB and Python, combined with his growing expertise in reinforcement learning, position him for future success in both academic and professional arenas.

 

Publications

📄  Prediction of Ship-Unloading Time Using Neural Networks
Author: Zhen Gao, Danning Li, Danni Wang, Zengcai Yu, Witold Pedrycz, Xinhai Wang
Journal: Applied Sciences
Year: 2024-09

📄  Novel Admissibility Criteria and Multiple Simulations for Descriptor Fractional Order Systems with Minimal LMI Variables
Author: Xinhai Wang, Jin-Xi Zhang
Journal: Fractal and Fractional
Year: 2024-06

 

Doohyun Park | Computer Science | Best Researcher Award

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Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

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Early Academic Pursuits 🎓

Dr. Doohyun Park embarked on his academic journey at Yonsei University, where he earned his Bachelor's degree in Electrical and Electronic Engineering (2012-2016). His deep interest in medical applications of technology led him to pursue a Ph.D. at the same institution. His doctoral thesis focused on artificial intelligence-based preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images, which showcases his commitment to integrating AI in healthcare. His academic path laid the foundation for his future contributions to biomedical research and medical image analysis.

Professional Endeavors 💼

Dr. Park’s professional career is marked by his significant role at VUNO Inc., where he is part of the Lung Vision AI team. His work involves the development of computer-aided detection and diagnosis (CADe/CADx) on lung CT, focusing on innovative solutions for lung health. He has also worked on projects assessing the severity of COVID-19 and anomaly detection in spine CT. His expertise in the intersection of AI and healthcare has positioned him as a key contributor to advanced diagnostic technologies, reflecting his ability to bridge academia and industry.

Contributions and Research Focus 🔬

Dr. Park's research interests are centered around biomedical and clinical research, with a particular emphasis on computer-aided detection, diagnosis, and medical image analysis. He has published numerous papers on topics ranging from deep learning-based joint effusion classification to the development of AI models for lung cancer screening. His research has garnered recognition in top-tier journals, reinforcing his role in advancing AI applications in healthcare. He also holds multiple international and domestic patents related to prognosis prediction using image features, underscoring his contributions to the global research community.

Accolades and Recognition 🏆

Dr. Park’s outstanding contributions to medical image analysis have earned him several prestigious awards. Notably, he won the Best Paper Award at the 2023 MICCAI Grand Challenge for Aorta Segmentation and secured third place in the competition. His academic excellence has also been recognized through scholarships, including the Brain Korea 21 Scholarship and various research and teaching assistant scholarships during his time at Yonsei University. His consistent track record of achievements highlights his dedication to both research and education.

Impact and Influence 🌍

Dr. Park's work has had a profound impact on the field of medical AI, particularly in improving diagnostic tools for lung and breast cancer. His development of cutting-edge algorithms for image analysis has the potential to revolutionize early detection and prognosis in clinical settings. His invited talks at high-profile forums like the Global Engagement & Empowerment Forum on Sustainable Development (GEEF) further showcase his influence on global health initiatives, particularly in the context of the United Nations' Sustainable Development Goals.

Legacy and Future Contributions ✨

As Dr. Park continues his career, his legacy is being built on the foundations of innovation, interdisciplinary collaboration, and a commitment to improving healthcare outcomes. His ongoing projects, including AI-based lung cancer screening and prognosis prediction for adenocarcinoma, promise to shape the future of diagnostic medicine. With a robust portfolio of patents, publications, and collaborative research, Dr. Park is poised to make lasting contributions to both academic and clinical communities, further solidifying his role as a pioneer in medical AI.

 

Publications

📝 Deep Learning-Based Joint Effusion Classification in Adult Knee Radiographs: A Multi-Center Prospective Study
Authors: Hyeyeon Won, Hye Sang Lee, Daemyung Youn, Doohyun Park, Taejoon Eo, Wooju Kim, Dosik Hwang
Journal: Diagnostics
Year: 2024

📝 M3F: Multi-Field-of-View Feature Fusion Network for Aortic Vessel Tree Segmentation in CT Angiography
Authors: Yunsu Byeon, Hyeseong Kim, Kyungwon Kim, Doohyun Park, Euijoon Choi, Dosik Hwang
Journal: Book Chapter
Year: 2024

📝 Weakly Supervised Deep Learning for Diagnosis of Multiple Vertebral Compression Fractures in CT
Authors: Euijoon Choi, Doohyun Park, Geonhui Son, Seongwon Bak, Taejoon Eo, Daemyung Youn, Dosik Hwang
Journal: European Radiology
Year: 2023

📝 Development and Validation of a Hybrid Deep Learning–Machine Learning Approach for Severity Assessment of COVID-19 and Other Pneumonias
Authors: Doohyun Park, Ryoungwoo Jang, Myung Jin Chung, Hyun Joon An, Seongwon Bak, Euijoon Choi, Dosik Hwang
Journal: Scientific Reports
Year: 2023

📝 Importance of CT Image Normalization in Radiomics Analysis: Prediction of 3-Year Recurrence-Free Survival in Non-Small Cell Lung Cancer
Authors: Doohyun Park, Daejoong Oh, MyungHoon Lee, Shin Yup Lee, Kyung Min Shin, Johnson SG Jun, Dosik Hwang
Journal: European Radiology
Year: 2022

 

Dimitrios Karapiperis | Computer Science | Best Research Award

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Dr. Dimitrios Karapiperis | Computer Science | Best Research Award

International Hellenic University | Greece

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🎓 Early Academic Pursuits

Dr. Dimitrios Karapiperis embarked on his academic journey with a BSc degree in Information Technology from the Technological Educational Institute of Thessaloniki, Greece, where he developed a strong foundation in applied technology. His passion for computer science led him to pursue an MSc degree in Software Engineering at the University of York, UK, funded by the State Scholarships Foundation of Greece (ΙΚΥ). During this time, he honed his skills in software engineering and expanded his knowledge in computer science.

Furthering his academic aspirations, Dr. Karapiperis earned a PhD in Computer Science from the Hellenic Open University, Greece. His research during this period focused on the field of Entity Resolution (Record Linkage), where he developed similarity algorithms, data structures, approximation schemes, and scalable distributed solutions. This phase of his education laid the groundwork for his future contributions to the field of computer science.

💼 Professional Endeavors

Dr. Karapiperis' professional career is marked by his dedication to both teaching and research. He has held various academic positions, including his current role as a lecturer at the Hellenic Open University, where he teaches courses on Data Mining and Machine Learning techniques. He also serves as an adjunct lecturer at the International Hellenic University, Greece, where he imparts knowledge on subjects such as Knowledge Management in the Web, Big Data and Cloud Computing, and Exploratory Data Analysis and Visualization. His previous roles include an adjunct lecturer position at the University of Western Macedonia, Greece, where he taught courses in Data Technologies and Database Management. Additionally, Dr. Karapiperis has experience as a research intern at the University of York, UK, and as a research assistant at the University of Macedonia, Greece, where he developed web and database applications.

🔬 Contributions and Research Focus

Dr. Karapiperis has made significant contributions to the field of computer science, particularly in the area of privacy-preserving record linkage. His research work includes the design of similarity algorithms, data structures, and approximation schemes that enable large-scale systems to perform record linkage while preserving privacy. His innovative use of randomization schemes, such as Locality-Sensitive Hashing (LSH) and count-min sketches, has advanced the field and provided practical solutions for handling voluminous data. In addition to his research, Dr. Karapiperis has supervised over 30 post-graduate theses at the International Hellenic University and Hellenic Open University, guiding students in topics related to Big Data management and the design of efficient algorithms.

🏆 Accolades and Recognition

Throughout his career, Dr. Karapiperis has earned recognition for his contributions to academia and research. His dedication to teaching, research, and the development of innovative algorithms has positioned him as a respected figure in the field of computer science. His expertise and commitment to advancing knowledge have garnered him the respect of his peers and students alike.

🌍 Impact and Influence

Dr. Karapiperis' work has had a profound impact on the field of computer science, particularly in the areas of data management and privacy-preserving technologies. His research on scalable and distributed solutions for Entity Resolution has influenced the development of more secure and efficient systems for handling large datasets. Moreover, his role as an educator has enabled him to shape the minds of future computer scientists, ensuring that his influence extends beyond his own research.

🚀 Legacy and Future Contributions

As Dr. Karapiperis continues his academic and research endeavors, his legacy is one of innovation, dedication, and impact. His ongoing work in developing cutting-edge algorithms and scalable solutions positions him as a leader in the field. With a strong foundation in both education and research, Dr. Karapiperis is poised to make even greater contributions to computer science in the years to come.

 

Publications

  • 📝Predicting Football Match Results Using a Poisson Regression Model
    Authors: Konstantinos Loukas, Dimitrios Karapiperis, Georgios Feretzakis, Vassilios S. Verykios
    Journal: Applied Sciences
    Year: 2024
  • 📝A Suite of Efficient Randomized Algorithms for Streaming Record Linkage
    Authors: Dimitrios Karapiperis, Christos Tjortjis, Vassilios S. Verykios
    Journal: IEEE Transactions on Knowledge and Data Engineering
    Year: 2024
  • 📝Machine Learning in Medical Triage: A Predictive Model for Emergency Department Disposition
    Authors: Georgios Feretzakis, Aikaterini Sakagianni, Athanasios Anastasiou, Ioanna Kapogianni, Rozita Tsoni, Christina Koufopoulou, Dimitrios Karapiperis, Vasileios Kaldis, Dimitris Kalles, Vassilios S. Verykios
    Journal: Applied Sciences
    Year: 2024
  • 📝Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance
    Authors: Evgenia Paxinou, Georgios Feretzakis, Rozita Tsoni, Dimitrios Karapiperis, Dimitrios Kalles, Vassilios S. Verykios
    Journal: Future Internet
    Year: 2024

 

Anastasios Liapakis | Computer Science | Best Researcher Award

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Assist Prof Dr. Anastasios Liapakis | Computer Science | Best Researcher Award

University of West Attica | Greece

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Early Academic Pursuits 📚

Dr. Anastasios Liapakis embarked on his academic journey with a strong foundation in Agricultural Engineering at the Agricultural University of Athens, where he completed his B(Eng) with a commendable grade of 7.27/10. Driven by a passion for data and analytics, he pursued a Master of Business Administration (MBA) specializing in Data Analytics at the same institution. His dedication and academic excellence earned him a top grade of 8.59/10. Dr. Liapakis continued his pursuit of knowledge by obtaining a PhD in Informatics, focusing on Big Data Analytics in Agricultural Digital Markets. His research in this area, completed with an "Excellent" grade, laid the groundwork for his future contributions to the field.

Professional Endeavors 🚀

Dr. Liapakis has held several key academic positions that have shaped his career. He is currently an Adjunct Assistant Professor at the University of West Attica, where he teaches modules on E-governance and Databases. His experience spans various institutions, including the University of Peloponnese, where he taught Programming II, and the National & Kapodistrian University of Athens, where he delivered courses on Object-Oriented Programming, Software Systems Design, and e-Government Systems. As the Academic Head of the Informatics Department at New York College, Athens, he managed programs in Computing, Software Engineering, and Data Analytics, showcasing his leadership and expertise in the field.

Contributions and Research Focus 🔬

Dr. Liapakis' research interests lie at the intersection of Artificial Intelligence (AI), Big Data Analytics, and Cultural Heritage Information Management. He has made significant contributions to the understanding and application of AI in various domains, particularly in opinion mining and big data analytics. His work has been instrumental in developing innovative solutions for the agricultural sector, including automated monitoring and control systems against pests in the Mediterranean region. His research projects, funded by the EU, have had a profound impact on the industry, highlighting his ability to bridge the gap between academia and real-world applications.

Accolades and Recognition 🏆

Throughout his career, Dr. Liapakis has been recognized for his outstanding academic performance and research contributions. He received multiple scholarships and financial awards, including one from the Agricultural University of Athens for his exceptional performance in the MBA program and another from the Greek State Scholarships Foundation during his undergraduate studies. His research has also garnered accolades, including a Best Paper Award at the International Journal of Computational Linguistics in 2020, solidifying his reputation as a leading researcher in his field.

Impact and Influence 🌍

Dr. Liapakis' work has had a significant impact on the academic community and beyond. His research in big data analytics and AI has influenced how these technologies are applied in various sectors, particularly in agriculture and food industries. His contributions to sentiment analysis, particularly in the context of the Greek language, have provided valuable insights for both academia and industry. Additionally, his involvement in PhD supervision and as a reviewer for various research journals demonstrates his commitment to shaping the future of research in his field.

Legacy and Future Contributions 🌟

As Dr. Liapakis continues to advance his research in AI and big data, his legacy is one of innovation and dedication to the application of cutting-edge technologies in solving real-world problems. His ongoing work in cultural heritage information management and his leadership in academic programs ensure that his contributions will continue to influence future generations of researchers and practitioners. Dr. Liapakis' vision for integrating AI into various sectors, coupled with his extensive experience and accolades, positions him as a thought leader poised to make lasting contributions to both academia and industry.

 

Publications

  • 📝A Sentiment Analysis Approach for Exploring Customer Reviews of Online Food Delivery Services: A Greek Case
    Authors: Fragkos, N.; Liapakis, A.; Ntaliani, M.; Ntalianis, F.; Costopoulou, C.
    Journal: Preprints 2024, 2024041203
    Year: 2024
  • 📝Ethical Use of Artificial Intelligence and New Technologies in Education 5.0
    Authors: Liapakis, A., Smyrnaiou, Z., & Bougia, A.
    Journal: International Journal of Artificial Intelligence, Machine Learning and Data Science
    Year: 2023
  • 📝Big Data, Sentiment Analysis, and Examples during the COVID-19 Pandemic
    Authors: Diareme, K. C., Liapakis, A., & Efthymiou, I.
    Journal: HAPSc Policy Briefs Series
    Year: 2022
  • 📝An Aspect-Based Sentiment Analysis System to Analyze Customers’ Reviews from Food and Beverage Opinion and Review Webpages: The Greek Case
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Costopoulou, C., Diareme, K.C.
    Journal: Information (Accepted for publication)
    Year: 2021
  • 📝A Corpus-Driven, Aspect-Based Sentiment Analysis to Evaluate in Almost Real-Time, a Large Volume of Online Food & Beverage Reviews
    Authors: Liapakis, A., Tsiligiridis, T., Yialouris, C., & Maliappis, M.
    Journal: International Journal of Computational Linguistics (IJCL)
    Year: 2020

 

Mona Ebadi Jalal | Computer Science | Best Researcher Award

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Ms. Mona Ebadi Jalal | Computer Science | Best Researcher Award

University of Louisville | United States

Author Profile

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Early Academic Pursuits 🎓

Ms. Mona Ebadi Jalal's academic journey is marked by excellence and dedication. She is currently pursuing a PhD in Computer Science at the University of Louisville, where she maintains a perfect GPA of 4.00. Her research focuses on the cutting-edge fields of Machine Learning and Deep Learning, under the guidance of Professor Adel Elmaghraby. Prior to this, she earned a Master’s Degree in Information Technology Engineering from K. N. Toosi University of Technology (KNTU) in Tehran, Iran, where she graduated with an impressive GPA of 17.75/20. Her master’s thesis involved developing a novel deep learning model using recurrent neural networks to forecast incoming call volumes in call centers, a project that earned a perfect grade of 20/20. She also holds a Bachelor’s Degree in Computer Engineering - Software from Payame Noor University in Hamedan, Iran, where she developed a patient information management system for a hospital as part of her thesis.

Professional Endeavors 💼

Ms. Ebadi Jalal’s professional career is equally distinguished. She is currently a PhD Fellow and Research Assistant at the University of Louisville, where she conducts in-depth research in customer behavior analysis, medical image analysis, and diagnostics prediction, utilizing advanced Machine Learning and Deep Learning methods. Before pursuing her PhD, she worked as an IT Consultant specializing in SAP ABAP and Business Data Analysis at Naghshe Aval Keyfiat (NAK) and Faraz Andishan Hesab Companies in Tehran, Iran. During this period, she designed and implemented custom solutions within the SAP framework, conducted thorough analyses of business processes, and managed end-to-end project lifecycles. She has also served as a Software Developer, developing and maintaining web applications and managing relational databases.

Contributions and Research Focus 🔬

Ms. Ebadi Jalal’s contributions to the field of computer science are significant and diverse. Her research primarily focuses on the application of Machine Learning and Deep Learning to customer behavior analysis and medical diagnostics. She has developed predictive models for call center operations and contributed to the advancement of personalized marketing through counterfactual analysis. Her recent work includes a deep learning framework for abnormality detection in nailfold capillary images, which has the potential to revolutionize diagnostics in medical imaging.

Accolades and Recognition 🏅

Ms. Ebadi Jalal’s academic and professional achievements have been recognized with numerous awards and honors. She was awarded a prestigious fellowship for her PhD studies at the University of Louisville in 2022. During her time at K. N. Toosi University of Technology, she was nominated for the Superior Student Researcher honor in 2014. Additionally, she ranked in the top 1% in Iran’s nationwide graduate-level entrance exam in Information Technology Engineering in 2012 and received a national graduate-level full scholarship.

Impact and Influence 🌍

Ms. Ebadi Jalal’s work has had a profound impact on both academia and industry. Her research has led to new insights in customer behavior analysis and medical image diagnostics, influencing the development of more effective marketing strategies and diagnostic tools. As a peer reviewer for several prestigious journals, including IEEE Access and Scientific Reports, she contributes to the advancement of knowledge in her field by ensuring the quality and rigor of published research.

Legacy and Future Contributions 🌟

Ms. Ebadi Jalal is poised to leave a lasting legacy in the field of computer science. Her ongoing research in machine learning and deep learning holds the potential to drive significant advancements in both customer behavior analysis and medical diagnostics. With her strong academic background, extensive professional experience, and numerous accolades, she is well-positioned to continue making groundbreaking contributions to the field in the years to come. Her future work will likely influence the next generation of researchers and practitioners, further solidifying her impact on the world of technology.

Publications

📝 Artificial Intelligence Algorithms in Nailfold Capillaroscopy Image Analysis: A Systematic Review

Journal: MedRxiv
Year: 2024
Authors: Emam, Omar S.; Jalal, Mona Ebadi; Garcia-Zapirain, Begonya; Elmaghraby, Adel S.

📝 Analyzing the Dynamics of Customer Behavior: A New Perspective on Personalized Marketing through Counterfactual Analysis

Journal: Journal of Theoretical and Applied Electronic Commerce Research
Year: June 2024
Authors: Mona Ebadi Jalal; Adel Elmaghraby

📝 Forecasting Incoming Call Volumes in Call Centers with Recurrent Neural Networks

Journal: Journal of Business Research
Year: November 2016
Authors: Mona Ebadi Jalal; Monireh Hosseini; Stefan Karlsson

📝 Analysis of Customer Behavior in Purchasing and Sending Online Group SMS Using Data Mining Based on the RFM Model

Journal: Sharif Journal of Industrial Engineering & Management
Year: February 20, 2016
Authors: Mona Ebadi Jalal; Somayeh Alizadeh




Heng Luo | Computer Science | Best Researcher Award

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Mr. Heng Luo | Computer Science | Best Researcher Award

The Hong Kong Polytechnic University | Hong Kong

Author Profile

Orcid 

Early Academic Pursuits 🎓

Mr. Heng Luo's academic journey is a testament to his commitment to excellence in engineering and technology. He began his higher education at the University of Electronic Science and Technology of China, earning a Bachelor's Degree in Electronic Engineering in 2012. This foundational education was followed by a Master’s Degree in the same field from the same institution in 2013. Heng Luo further expanded his academic horizons by pursuing two more Master’s degrees, one in Industrial and Systems Engineering from The Hong Kong Polytechnic University, and another in the Warwick Manufacturing Group at The University of Warwick, both completed in 2016. Currently, he is a PhD candidate at The Hong Kong Polytechnic University, where he continues to advance his research in The Institute of Textiles and Clothing.

Professional Endeavors 💼

In addition to his academic pursuits, Mr. Heng Luo has been actively involved in professional organizations. Since 2021, he has been a member of the Institution of Engineering and Technology and IEEE. His affiliation with IEEE also includes participation in the Young Professionals group, reflecting his dedication to staying at the forefront of technological advancements and contributing to the global engineering community.

Contributions and Research Focus 📚

Mr. Heng Luo's research and professional work have led to significant contributions in various fields. His expertise spans wearable systems, polymer degradation, hydrogel technology, and control systems. Notable among his works are publications like the "Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities" and "Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water." His research also includes innovative patents, such as those related to MIMO-OTH radar waveforms and machine learning-based article identification methods.

Accolades and Recognition 🏆

Throughout his career, Mr. Heng Luo has garnered recognition for his work, particularly in the realms of materials science and engineering. His contributions have been published in high-impact journals, and his patents demonstrate a strong application-oriented approach to research. He has also served as a peer reviewer for journals like Fibers and Polymers, showcasing his expertise and respected standing in the academic community.

Impact and Influence 🌍

Mr. Heng Luo's work has had a broad impact, particularly in the development of advanced materials and systems for practical applications. His research on wearable systems and polymer degradation has implications for both the healthcare industry and environmental sustainability. By integrating his engineering expertise with cutting-edge research, he has influenced the direction of technological development in these areas.

Legacy and Future Contributions 🌟

As Mr. Heng Luo continues his PhD research and professional activities, his future contributions are anticipated to further advance the fields of engineering and technology. His ongoing work promises to leave a lasting legacy, particularly in the areas of wearable technology and sustainable materials. As an emerging leader in his field, Mr. Heng Luo's future endeavors will likely continue to shape the landscape of modern engineering and contribute to global technological progress.

 

Publications 📚

📖 Integrated Wearable System for Monitoring Skeletal Muscle Force of Lower Extremities

Authors: Heng Luo, Ying Xiong, Mingyue Zhu, Xijun Wei, Xiaoming Tao
Journal: Sensors
Year: 2024

📖 Evaluating and Modeling the Degradation of PLA/PHB Fabrics in Marine Water

Authors: Qi Bao, Ziheng Zhang, Heng Luo, Xiaoming Tao
Journal: Polymers
Year: 2022

📖 Ionic Hydrogel for Efficient and Scalable Moisture‐Electric Generation

Authors: Heng Luo
Journal: Advanced Materials
Year: 2022

📖 Article Identification Method and Device Based on Machine Learning

Authors: Heng Luo
Journal: Patent
Year: 2020

📖 Observer-Based Control of Discrete-Time Fuzzy Positive Systems with Time Delays

Authors: Heng Luo
Journal: IFAC Proceedings Volumes
Year: 2013