Tag: Big Data

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

Okechukwu Obulezi | Mathematics | Editorial Board Member

Posted on 28/10/202428/10/2024 by Book of Award

Dr. Okechukwu Obulezi | Mathematics | Editorial Board Member

Nnamdi Azikiwe University | Nigeria

Author Profile

🎓 Early Academic Pursuits

Dr. Okechukwu Obulezi began his academic journey with a focus on statistical sciences, obtaining an ND in Statistics from Abia State Polytechnic in 2006. Driven by his passion, he continued with an HND in Statistics from the same institution, culminating in a strong foundation in quantitative analysis and data interpretation. Pursuing higher learning, he completed a PGD in Statistics at Nnamdi Azikiwe University in 2012, with a thesis on the "Discriminant Analysis of the Nigerian Fixed Assets." His master's thesis focused on "BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis," setting the stage for his current Ph.D. in Statistics, where he explores complex statistical methods for predictive and analytical modeling.

💼 Professional Endeavors

Dr. Obulezi’s professional career spans several academic roles, starting as an Instructor at Abia State Polytechnic in 2011, where he advanced to Senior Instructor by 2015. In 2019, he joined Nnamdi Azikiwe University as an Assistant Lecturer in the Statistics Department, quickly progressing to Lecturer II and then Lecturer I by 2023. His responsibilities include teaching specialized courses such as Biostatistics, Statistical Methods, Probability Theory, and Matrix Algebra, where he imparts knowledge to the next generation of statisticians. Beyond teaching, he plays critical roles in advising undergraduates, coordinating seminars and projects, and contributing to departmental committees, such as the Faculty ICT Committee and Faculty Repair and Maintenance Committee.

🔬 Contributions and Research Focus

Dr. Obulezi’s research interests lie at the intersection of probability distributions, machine learning, and statistical modeling, with applications in survival analysis, acceptance sampling, and censored data analysis. His contributions to these fields include publications in high-impact journals, focusing on new statistical models for various real-world applications. Some of his significant research includes new distribution models for engineering, biomedical, and environmental data, optimization of GARCH models for financial volatility, and innovative sampling plans for reliability testing. His publications reflect his commitment to advancing the fields of statistics and machine learning by creating robust, practical solutions for complex data challenges.

🏆 Accolades and Recognition

Dr. Obulezi has earned recognition for his academic and research excellence, serving as a reviewer for several prestigious journals, such as Cogent Engineering, Scientific African, and Alexandria Engineering Journal. His expertise has also led him to contribute as a reviewer for academic book chapters, particularly in mathematical and computer science research. This engagement underscores his prominence as a thought leader in the statistical community and highlights the respect he commands among peers for his critical insights and expertise.

🌍 Impact and Influence

Dr. Obulezi's work in developing statistical models and distributions has had a significant impact, particularly in the areas of biomedicine, engineering, and environmental science. His innovative methodologies have helped refine statistical tools for better data analysis, contributing to improved outcomes in public health research, environmental risk assessment, and financial risk management. His influence also extends to mentoring students and collaborating with other academics, which enriches the statistical field and inspires the next generation of statisticians.

🔮 Legacy and Future Contributions

Looking forward, Dr. Obulezi aims to further his research in advanced statistical modeling, focusing on machine learning applications and data-driven decision-making in complex fields. His commitment to exploring new statistical approaches for big data and predictive analysis places him at the forefront of his field, positioning him to make enduring contributions that will drive innovation in statistical methodologies and applications for years to come.

Publications

📄 Parameter estimation for reduced Type-I Heavy-Tailed Weibull distribution under progressive Type-II censoring scheme
Authors: Prakash, A., Maurya, R.K., Alsadat, N., Obulezi, O.J.
Journal: Alexandria Engineering Journal
Year: 2024

📄 Sine generalized family of distributions: Properties, estimation, simulations and applications
Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
Journal: Alexandria Engineering Journal
Year: 2024

📄 A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
Journal: Alexandria Engineering Journal
Year: 2024

📄 A new extension of Burr-Hatke exponential distribution with engineering and biomedical applications
Authors: Anyiam, K.E., Alghamdi, F.M., Nwaigwe, C.C., Aljohani, H.M., Obulezi, O.J.
Journal: Heliyon
Year: 2024

📄 Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
Journal: Heliyon
Year: 2024

Ousmane Thiare | Computer Science | Best Scholar Award

Posted on 10/10/202410/10/2024 by Book of Award

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

Université Gaston Berger | Senegal

Author profile

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

Posted on 05/10/202405/10/2024 by Book of Award

Mr. Xinhai Wang | Computer Science | Best Researcher Award

Northeastern University | China

Author Profile

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

Dimitrios Karapiperis | Computer Science | Best Research Award

Posted on 27/08/202427/08/2024 by Book of Award

Dr. Dimitrios Karapiperis | Computer Science | Best Research Award

International Hellenic University | Greece

Author Profile

🎓 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

Posted on 27/08/202427/08/2024 by Book of Award

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

University of West Attica | Greece

Author Profile

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

Posted on 26/08/202426/08/2024 by Book of Award

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

University of Louisville | United States

Author Profile

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

Kalyanapu Srinivas | Computer Science | Best Researcher Award

Posted on 07/08/202407/08/2024 by Book of Award

Dr. Kalyanapu Srinivas | Computer Science | Best Researcher Award

Vaagdevi Engineering College | India

Author Profile

Early Academic Pursuits 🎓

Dr. Kalyanapu Srinivas embarked on his academic journey with a Bachelor of Technology (B.Tech) in Computer Science Engineering from Vidya Bharathi Institute of Technology, graduating in 2006 with First Division honors. He continued to advance his studies with a Master of Technology (M.Tech) in Software Engineering from Ramappa Engineering College in 2010, where he achieved Distinction with a 78.2% score. Further solidifying his academic prowess, Dr. Srinivas completed his Ph.D. in Cryptography & Network Security at JNTU, Hyderabad in 2020.

Professional Endeavors 💼

Dr. Srinivas has accumulated over 16 years of experience in academia. His professional journey includes roles such as Assistant Professor at various institutions, including Vaagdevi Engineering College, Kakatiya Institute of Technology and Science, and SR Engineering College. His tenure in these roles highlights his commitment to advancing the field of computer science and engineering. Notably, he has been involved in teaching, research, and academic administration.

Contributions and Research Focus 🔬

Dr. Srinivas’s research primarily focuses on Cryptography and Network Security, with a keen interest in Data Mining, Cloud Computing, and Quantum Computing. His Ph.D. thesis, titled "Novel Techniques for Image-Based Key Generation using Chinese Remainder Theorem and Chaotic Logistic Maps," reflects his innovative approach to enhancing security protocols. Additionally, his ongoing research guidance includes supervising several Ph.D. students in areas such as Wireless Networks and Cloud Computing.

Accolades and Recognition 🏆

Dr. Srinivas has earned significant recognition throughout his career. His work in machine learning and cryptography has led to the publication of a patent on Alzheimer's prediction using machine learning. He has also been honored as a session chair at the International Conference on Research in Science, Engineering, Technology, and Management (ICRSETM2020) and served as a guest speaker at SAFER INTERNET DAY 2023. His expertise has been acknowledged through editorial and review roles for various conferences and journals.

Impact and Influence 🌍

Dr. Srinivas’s contributions extend beyond his research. His involvement in organizing and participating in short-term training programs (STTP) on IoT simulation and fog computing showcases his dedication to fostering knowledge and innovation in emerging technologies. His role as a primary evaluator for TOYCATHON 2021 further emphasizes his influence in shaping the future of technology education and development.

Legacy and Future Contributions 🚀

Looking ahead, Dr. Srinivas is poised to continue making impactful contributions to the fields of cryptography and network security. His research initiatives and academic leadership are expected to drive advancements in secure computing and innovative technologies. As he mentors the next generation of researchers and contributes to cutting-edge research, his legacy in the academic and professional realms will undoubtedly endure, inspiring future advancements in technology and education.

Publications 📚

Article: Underground Water Level Prediction in Remote Sensing Images Using Improved Hydro Index Value with Ensemble Classifier
Authors: Stateczny, A., Narahari, S.C., Vurubindi, P., Guptha, N.S., Srinivas, K.
Journal: Remote Sensing
Year: 2023

Article: User-segregation based channel estimation in the MIMO system
Authors: Patra, R.K., Kumar, M.H., Srinivas, K., Sekhar, P.C., Subhashini, S.J.
Journal: Physical Communication
Year: 2023

Book Chapter: An Enhancement in Crypto Key Generation Using Image Features with CRT
Authors: Srinivas, K., Kumar, N.S., Sanathkumar, T., Rama Devi, K.
Book: Cognitive Science and Technology
Year: 2023

Article: Plant disease classification using deep bilinear CNN
Authors: Rao, D.S., Ramesh Babu, C., Kiran, V.S., Mohan, G.S., Bharadwaj, B.L.
Journal: Intelligent Automation and Soft Computing
Year: 2022

Article: Symmetric key generation algorithm using image-based chaos logistic maps
Authors: Srinivas, K., Janaki, V.
Journal: International Journal of Advanced Intelligence Paradigms 🧠
Year: 2021

Sasank V.V.S | Computer Science | Best Researcher Award

Posted on 22/07/202422/07/2024 by Book of Award

Assist Prof Dr. Sasank V.V.S | Computer Science | Best Researcher Award

K L University | India

Author Profile