Luis Cavique | Computer Science | Best Research Award

Prof. Luis Cavique | Computer Science | Best Research Award

Universidade Aberta | Portugal

Author Profile

Scopus

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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

 

Ousmane Thiare | Computer Science | Best Scholar Award

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

Université Gaston Berger | Senegal

Author profile

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Google Scholar

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

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

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


 

Elif Keskin Bilgiç | Engineering | Best Researcher Award

Mrs. Elif Keskin Bilgiç | Engineering | Best Researcher Award

Istanbul University -Cerrahpaşa | Turkey

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Early Academic Pursuits 🎓

Mrs. Elif Keskin Bilgiç's academic journey began with a strong foundation in biology, earning her B.Sc. in Biology from Abant İzzet Baysal University in 2010. She further pursued her passion for biomedical engineering, completing an M.Sc. at Istanbul University in 2016. Her master's thesis focused on investigating the therapeutic effects of innovative biomaterials, such as L-Dopa and Lawsone, in wound healing. This early academic focus laid the groundwork for her expertise in biomedical engineering and clinical applications. In 2024, she completed her Ph.D. in Biomedical Engineering from Istanbul University-Cerrahpaşa, specializing in non-invasive clinical decision support systems for diagnosing gastrointestinal diseases using advanced machine learning methods. 📚

Professional Endeavors 💻

With over a decade of professional experience, Mrs. Bilgiç has made significant contributions as both a researcher and educator. She has taught Cambridge Biology at the A-Level from 2016 to 2024 at the International Gokkusagi School in Istanbul, equipping students with critical knowledge to excel in international examinations. As a researcher at Istanbul University-Cerrahpaşa since 2016, she has pioneered research using transfer learning techniques to detect celiac disease, developing predictive machine learning models to aid in diagnostics. Her work in wound healing and biomaterials during her early career helped shape her innovative approaches in biomedical engineering.

Contributions and Research Focus 🔬

Mrs. Bilgiç's research centers on developing non-invasive clinical decision support systems for diagnosing autoimmune diseases, with a particular focus on celiac disease. Her groundbreaking research involves the use of machine learning models, including transfer learning and deep learning, to diagnose the disease by analyzing facial images and predicting Marsh levels from patient data. This innovative approach merges cutting-edge AI technology with clinical diagnostics, advancing the field of medical science. In addition, her research on the therapeutic effects of biomaterials in wound healing has expanded the knowledge base in biomedical engineering.

Accolades and Recognition 🏆

Mrs. Bilgiç has published multiple scientific papers, including an original article on using transfer learning for celiac disease identification, which has garnered attention within the scientific community. Her work has been presented at numerous conferences and symposia, including international venues such as the Bilge Kagan 2nd International Science Congress in Barcelona, Spain, and the 11th Nanoscience and Nanotechnology Conference in Ankara, Turkey. Her innovative approaches to clinical diagnostics and contributions to autoimmune disease research have earned her recognition as a thought leader in the field.

Impact and Influence 🌍

Through her research, Mrs. Bilgiç is reshaping how clinical diagnostics are performed, particularly for gastrointestinal and autoimmune diseases. Her development of non-invasive diagnostic systems could revolutionize patient care, offering faster and more accurate diagnosis options. Her educational impact extends beyond the research lab, as she has inspired countless students through her teaching, blending her academic and professional expertise into practical applications that shape future scientists and researchers.

Legacy and Future Contributions ✨

Mrs. Bilgiç's work in machine learning, biomedical engineering, and education has laid a strong foundation for future advancements in healthcare technology. Her legacy will likely be marked by her innovations in non-invasive diagnostic tools and her contribution to the understanding of biomaterials in medical treatment. As her research evolves, she is poised to continue making significant contributions that will benefit patients and healthcare providers alike, influencing the future of clinical decision support systems and biomedical engineering for years to come.

 

Publications


📖 Innovative Approaches to Clinical Diagnosis: Transfer Learning in Facial Image Classification for Celiac Disease Identification 
Author: Elif Keskin Bilgiç, Inci Zaim Gokbay, Yusuf Kayar
Journal: Applied Sciences
Year: 2024


 

Mukhtar Hassan | Arts and Humanities | Best Researcher Award

Mr. Mukhtar Hassan | Arts and Humanities | Best Researcher Award

Amoud University | Somalia

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Early Academic Pursuits 📚

Mr. Mukhtar Hassan's educational journey reflects a strong commitment to both academic excellence and professional development. He earned a Master in Research and Data Analysis with honors from Amoud University in 2024, following a Master in Business Administration with honors from Admas University in 2022. His academic foundation is further supported by certifications such as CompTIA A+, Cisco, and Certified Accountant Technician from ACCA. His early education included a B.A. in Business Administration and a Diploma in ICT from the University of Hargeisa. This diverse educational background has equipped him with a comprehensive skill set applicable to both business and technology sectors.

Professional Endeavors 🚀

Mr. Hassan's professional career showcases his expertise in international relief efforts, finance, and logistics. He has excelled in various roles, including his current position as a Lecturer in Data Science and Data Analysis at Amoud University. In this role, he designs and delivers course content, mentors students, and engages in scholarly research. His previous experience includes serving as the Head of the Finance Section at the Ministry of Education and Science, where he managed financial operations, risk assessments, and compliance. His extensive background in finance includes roles with UNICEF and the Ministry of Education & Higher Education, where he managed budgets, financial reporting, and logistics.

Contributions and Research Focus 🔬

Mr. Hassan's research and professional focus are centered on enhancing educational and financial systems through data analysis and management. His work in academia involves developing curricula, conducting research, and advocating for data literacy. His contributions to finance include improving financial reporting processes and optimizing resource management. His research is notable for its practical applications in improving operational efficiency and financial oversight in international relief contexts.

Accolades and Recognition 🏅

Throughout his career, Mr. Hassan has been recognized for his dedication and expertise in both finance and education. His advanced degrees, professional certifications, and leadership roles reflect his commitment to excellence. His role in various workshops and seminars further highlights his expertise and influence in financial reporting, policy frameworks, and youth leadership training.

Impact and Influence 🌍

Mr. Hassan's impact extends across academia, finance, and international relief efforts. His work in data science and financial management has contributed to the development of more effective educational programs and efficient financial operations. His ability to work in multicultural settings and lead capacity-building projects has made a significant difference in the organizations he has been part of, particularly in improving financial practices and educational outcomes.

Legacy and Future Contributions 🌟

Looking forward, Mr. Hassan is poised to continue making substantial contributions to his fields of expertise. His ongoing research, teaching, and professional activities will likely drive further advancements in data science, financial management, and international relief efforts. His legacy will be marked by his ability to integrate advanced data analysis with practical applications, enhancing both educational and financial systems globally.

 

Publications


📄Predicting Student Dropout Rates Using Supervised Machine Learning: Insights from the 2022 National Education Accessibility Survey in Somaliland

Authors: Mukhtar Hassan, Abdisalam Hassan Muse, Saralees Nadarajah
Journal: Applied Sciences
Year: 2024


 

Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Ms. Ruoxi Wang | Agricultural and Biological Sciences |Best Researcher Award

Kunming University of Science and Technology | China

Author profile

Scopus

Early Academic Pursuits 📚

Ms. Ruoxi Wang embarked on her academic journey with a keen interest in the intersection of technology and agriculture. Currently pursuing a master's degree at the College of Modern Agricultural Engineering, Kunming University of Science and Technology, her studies focus on agricultural informatization. With a foundation in agricultural engineering, she quickly identified the potential of digital tools to transform agricultural practices, particularly in the areas of computer vision and image processing.

Professional Endeavors 🚀

Ruoxi has developed expertise in cutting-edge technologies such as image classification and segmentation, applying them to real-world agricultural challenges. Her research explores innovative methods for enhancing agricultural systems through advanced computing, aiming to boost productivity and efficiency in agricultural practices. As a scholar, she has been at the forefront of integrating digital solutions into the agricultural sector, reflecting her commitment to the future of smart farming.

Contributions and Research Focus 🖥️🌾

Ruoxi's research has already borne fruit, with two significant publications as the first author: one in the prestigious journal Agronomy and another presented at the 12th International Conference on Information Systems and Computing Technology. Her work centers around harnessing the power of computer vision and image processing to optimize agricultural operations, positioning her as a rising voice in the realm of agricultural informatization. Through her contributions, she seeks to bridge the gap between technology and sustainable agriculture.

Accolades and Recognition 🏅

Despite being early in her academic career, Ruoxi's contributions have already been acknowledged through her peer-reviewed publications. The recognition she has garnered within the research community highlights her potential to influence the field of agricultural informatization. Her achievements reflect both her dedication and the growing importance of her research focus.

Impact and Influence 🌍

Ms. Wang’s innovative work is paving the way for more efficient agricultural practices globally. By utilizing computer vision and image processing techniques, she is helping to streamline processes such as crop monitoring and analysis. Her research not only has academic value but also holds immense practical implications, positioning her as a future leader in agricultural technology.

Legacy and Future Contributions 🌟

Looking ahead, Ruoxi is poised to make even more impactful contributions to agricultural engineering and technology. Her ongoing research promises to push the boundaries of agricultural informatization, and her dedication to advancing the field will undoubtedly leave a lasting legacy. As she continues to explore and innovate, her work will shape the future of smart farming, potentially revolutionizing how technology is integrated into agricultural practices worldwide.

 

Publications


📄Deep learning implementation of image segmentation in agricultural applications: a comprehensive review
Authors: Lei, L., Yang, Q., Yang, L., Wang, R., Fu, C.
Journal: Artificial Intelligence Review
Year: 2024


📄Improved Deeplabv3+ Method for the Panax Notoginseng Disease Segmentation
Authors: Lei, L., Wang, Z., Wang, R., Yang, Q., Yang, L.
Conference: Proceedings of the 2023 11th International Conference on Information Systems and Computing Technology (ISCTech 2023)
Year: 2023


 

Megha Varshney | Mathematics | Best Researcher Award

Ms. Megha Varshney | Mathematics | Best Researcher Award

Dr. APJ Abdul Kalam Technical University | India

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Early Academic Pursuits 🎓

Ms. Megha Varshney’s academic journey began with a strong foundation in mathematics and science. She completed her Bachelor of Science from SM Degree College, Chandausi, District Sambhal, U.P., with a focus on Physics, Chemistry, and Mathematics, achieving a percentage of 74.07%. She further pursued her Master of Science in Pure Mathematics at Banasthali Vidyapith, Tonk, Rajasthan, where she graduated with a CGPA of 8.03. Her intermediate studies, which secured her 1st rank in her district and a Gold Medal, and her high school education, demonstrate her consistent academic excellence from an early age.

Professional Endeavors 💼

Ms. Varshney has been engaged in various roles that highlight her versatility and dedication. As a Research Scholar at Dr. APJ Abdul Kalam Technical University, Lucknow, she has made significant strides in her research, focusing on optimization and nature-inspired metaheuristic algorithms. Her research achievements include publishing articles in SCIE journals, contributing book chapters, and presenting at both national and international conferences. Her role as a Guest Faculty Assistant Professor at SM Degree College allowed her to develop and implement innovative teaching methods, enhancing student engagement and learning outcomes.

Contributions and Research Focus 🔬

Ms. Varshney's research contributions are centered around optimization techniques and metaheuristic algorithms. Notable works include her publications on the hybridization of algorithms, structural engineering problems, and advanced optimization methods. Her research has been showcased in various prestigious journals and conferences, reflecting her commitment to advancing the field of computational mathematics and optimization.

Accolades and Recognition 🏅

Her academic excellence has been recognized through several accolades, including a Certificate of Excellence in Academics awarded by the Chief Minister of Uttar Pradesh in 2013 and securing 1st rank in her district's intermediate examination. Additionally, she is a GATE Qualified candidate with a rank of AIR-339 and a score of 544.

Impact and Influence 🌟

Ms. Varshney's impact extends beyond her research through her innovative teaching methods and curriculum development at SM Degree College. Her contributions to the field of optimization and computational mathematics have influenced both academic circles and practical applications in structural engineering and algorithm development.

Legacy and Future Contributions 🔮

Looking ahead, Ms. Varshney is poised to continue her impactful research and teaching career. Her focus on nature-inspired algorithms and optimization techniques positions her as a leading figure in her field. Her dedication to both research and education ensures that her future contributions will likely advance the boundaries of computational mathematics and inspire future scholars and practitioners.

 

Publications


  • 📄Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

  • 📄Using the Grey Wolf Aquila Synergistic Algorithm for Design Problems in Structural Engineering
    • Journal: Biomimetics
    • Year: 2024
    • Authors: Megha Varshney, Pravesh Kumar, Musrrat Ali, Yonis Gulzar

 

 

Dimitrios Karapiperis | Computer Science | Best Research Award

Dr. Dimitrios Karapiperis | Computer Science | Best Research Award

International Hellenic University | Greece

Author Profile

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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

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

University of West Attica | Greece

Author Profile

Orcid

Google Scholar

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