Doohyun Park | Computer Science | Best Researcher Award

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Dr. Doohyun Park | Computer Science | Best Researcher Award

VUNO Inc. | South Korea

Author Profile

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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

 

Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

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Mr. Iordanis Karavasilis | Economics, Econometrics and Finance | Best Researcher Award

International Hellenic University | Greece

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Early Academic Pursuits 📚

Mr. Iordanis Karavasilis embarked on his academic journey with a strong foundation in finance and accounting. He completed his Bachelor's degree in Finance and Accounting at the University of Macedonia in Thessaloniki, Greece, where he achieved a Grade Point Average of 7.43/10. His studies included comprehensive subjects such as Financial Administration, Banking Management, and Econometrics. Building on this foundation, he pursued a Master of Science in Business Economics: Finance at the University of Amsterdam, graduating with a GPA of 7.25/10. His thesis focused on the impact of "zombie banks" on the U.S. economy. He further advanced his education with an MBA in Hospitality and Tourism from International Hellenic University, where he excelled with a GPA of 9.93/10 and researched the effects of tourism on macroeconomic indicators in Greece.

Professional Endeavors 💼

Mr. Karavasilis has amassed extensive professional experience in financial management and accounting. Since February 2022, he has been serving as a Financial Manager at Kri Kri S.A., a leading dairy industry company in Greece. His role encompasses managing bank accounts, financial guarantees, corporate loans, and supplier payments, among other responsibilities. Prior to this, he worked as an Accounts Receivable Specialist at Kri Kri S.A., where he handled credit checking, financial reporting, and communication with customers. His early career included roles such as a Foreign Exchange Market Trader and Assistant Accountant, where he gained experience in financial analysis and accounting practices.

Contributions and Research Focus 🔍

Mr. Karavasilis’s academic research has significantly contributed to understanding economic impacts and financial systems. His ongoing PhD research at International Hellenic University focuses on "The effect of the digital economy on macroeconomic indicators of different geographical areas." His previous work includes a Master’s thesis on the effects of tourism on Greece’s macroeconomic indicators and a detailed analysis of zombie banks during his Master’s in Finance. His contributions are valuable in bridging theoretical knowledge with practical financial management and economic analysis.

Accolades and Recognition 🏅

Throughout his career, Mr. Karavasilis has received notable recognition for his academic and professional achievements. He was awarded a scholarship for his MBA studies at International Hellenic University and has been acknowledged for his contributions to various conferences and seminars. His expertise in financial management and economics has also been validated through certifications and diplomas, including a professional license as a Senior Accountant and specialized training in conflict management and foreign exchange trading.

Impact and Influence 🌟

Mr. Karavasilis’s work has had a profound impact on both academic and professional fields. His research on digital economy effects and macroeconomic indicators contributes to the understanding of contemporary economic challenges. His practical experience in financial management at Kri Kri S.A. demonstrates his capability in managing complex financial operations and enhancing organizational efficiency. His teaching roles at the International Hellenic University also reflect his commitment to shaping future professionals in the field.

Legacy and Future Contributions 🚀

Looking ahead, Mr. Karavasilis is poised to make further contributions to the field of finance and economics. His ongoing research and professional endeavors continue to influence financial practices and economic theories. His dedication to education and practical financial management underscores his commitment to advancing knowledge and fostering growth in the financial sector. His future work is expected to continue making significant strides in understanding and managing economic and financial systems.

 

Publications

📚 Forecasting the Evolution of the Digital Economy in the Industry of the European Union 
Authors: Iordanis Karavasilis, Vasiliki Vrana, George Karavasilis
Journal: Journal of Risk and Financial Management
Year: 2024

 

Mukhtar Hassan | Arts and Humanities | Best Researcher Award

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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

 

Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

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Ms. Sofia Karakasidou | Economics, Econometrics and Finance | Best Researcher Award

University of Thessaly | Greece

Author profile

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🌱 Early Academic Pursuits

Ms. Sofia Karakasidou's academic journey began with a strong foundation in economics. She earned her BSc in Economics from the Aristotle University of Thessaloniki, Greece, between 1990 and 1994. Eager to expand her expertise, she pursued a second BSc in Accounting & Finance at the University of Macedonia, Thessaloniki, Greece, from 1999 to 2004. Her academic endeavors continued as she attained an MSc in "Statistics and Actuarial Financial Mathematics" with a specialization in Actuarial Financial Mathematics from the University of the Aegean, Greece, from 2007 to 2011. Currently, she is a dedicated Ph.D. candidate at the University of Thessaly, Greece, focusing on advanced economic studies.

🏢 Professional Endeavors

Ms. Karakasidou has a rich professional background, having served in various capacities at the Central Market of Thessaloniki S.A. since 1996. She began in the Administrative Department and soon transitioned to the Financial Department, where her expertise in financial management and administrative functions grew. Over the years, she climbed the ranks, eventually becoming the Head of Financial Services and, later, the Head of Administrative Services Department, a position she holds today.

📊 Contributions and Research Focus

Ms. Karakasidou has made significant contributions to the field of economic statistics, particularly in the analysis of time series related to agricultural product prices. Her research, often presented at national and international conferences, delves into the complexities of price dynamics using advanced methods such as Recurrence Quantification Analysis and complex networks. Her published works, including papers in reputable journals like AppliedMath, reflect her deep commitment to understanding and improving financial and economic systems.

🏆 Accolades and Recognition

Throughout her career, Ms. Karakasidou has been recognized for her exceptional work. Her presentations at prominent conferences, such as the Panhellenic Conference on Statistics and the International Conference on Topology, have earned her respect in the academic community. Her ability to translate complex statistical data into actionable insights has been acknowledged by peers and professionals alike.

🌍 Impact and Influence

Ms. Karakasidou's work has had a profound impact on the understanding of economic patterns, particularly in the agricultural sector. Her research has provided valuable insights into the behavior of vegetable prices, offering a clearer picture of market dynamics. This has not only contributed to academic literature but also provided practical implications for economic policy and market regulation.

📚 Legacy and Future Contributions

As Ms. Karakasidou continues her Ph.D. studies and professional work, her legacy in the field of economic statistics is already taking shape. Her future contributions are likely to further enhance the understanding of economic systems, particularly in the area of time series analysis. With her ongoing research and dedication to academic excellence, Ms. Karakasidou is set to make lasting contributions that will influence future studies and practices in economics.

 

Publications

  • 📄 Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis
    Authors: Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis
    Journal: AppliedMath
    Year: 2024 (4(3), 1012-1046)
  • 📄 Nonlinear Analysis of Time Series of Agricultural Product Prices: Application in the Central Market of Thessaloniki
    Author: Sofia Karakasidou
    Conference: 26th Panhellenic Conference on Statistics, Hellenic Statistical Institute
    Year: 2013
  • 📄 Analysis of Time Series of Greek Vegetable Prices
    Author: Sofia Karakasidou
    Conference: 30th Conference on Applied Economics, University of Thessaly & Hellenic Statistical Institute
    Year: 2013
  • 📄 Vegetable Price Time Series Analysis Using Complex Networks
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2014
  • 📄 Vegetable Price Dynamics Using Recurrence Plot Analysis
    Author: Sofia Karakasidou
    Conference: International Conference on Topology, Nafpaktos, Greece
    Year: 2023

 

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

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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




Aylin Pakzad | Engineering | Best Researcher Award

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Dr. Aylin Pakzad | Engineering | Best Researcher Award

Kosar University of Bojnord | Iran

Author Profile

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🎓 Early Academic Pursuits

Dr. Aylin Pakzad's academic journey began with a Bachelor's degree in Industrial Engineering, specializing in industrial production, from Shahid Bahonar University of Kerman, graduating in 2018. Her passion for the field led her to pursue a Master's degree in Industrial Engineering with a specialization in industrial systems at the same university, completing it in 2013. She furthered her education with a study opportunity at Iran University of Science and Technology from December 2018 to June 2019. Dr. Pakzad culminated her academic pursuits with a Ph.D. in Industrial Engineering from Ferdowsi University of Mashhad, a degree she accepted in July 2022.

💼 Professional Endeavors

Dr. Pakzad has held several significant academic positions, showcasing her leadership and expertise in the field. She served as the Deputy Director of the Industrial Engineering Department at Ishraq Bojnoord Institute of Higher Education in 2014. From 2013 to 2015, she was the Head of the Industrial Engineering Department at Kausar Bojnord University. Since 2014, Dr. Pakzad has been a valued member of the faculty at the Faculty of Technology, Engineering, and Basic Sciences at Kausar Bojnord University.

🔬 Contributions and Research Focus

Dr. Pakzad's research is marked by a focus on Statistical Quality Control, Process Capability Analysis, Fuzzy Statistics, and Data Mining. Her scholarly contributions are reflected in her numerous publications in international journals. Notable works include her 2014 study on evaluating the performance of an educational system using an Analytic Hierarchy Process- Assurance Region- Joint Multiple Layer Data Envelopment Analysis Model. Her research extends to developing new indices for process capability analysis and innovative approaches to data mining.

🏆 Accolades and Recognition

Dr. Pakzad's academic and research excellence has earned her recognition within the industrial engineering community. Her work has been featured in both international journals and conferences, such as the International Journal of Data Envelopment Analysis and the Journal of Statistical Computation and Simulation. Her pioneering research on process capability indices for linear profiles and innovative approaches to quality engineering has cemented her reputation as a leading expert in her field.

🌍 Impact and Influence

Dr. Pakzad's influence extends beyond academia. Her research has practical applications in quality management, industrial engineering, and data analysis, impacting various industries. Her work on statistical models and process capability indices has provided valuable tools for engineers and researchers alike, contributing to the advancement of industrial practices and academic knowledge.

🌟 Legacy and Future Contributions

Dr. Pakzad continues to push the boundaries of industrial engineering with her innovative research and dedicated teaching. Her legacy is one of intellectual rigor, leadership, and a commitment to advancing the field of industrial engineering. As she continues her work, Dr. Pakzad is poised to make further significant contributions, shaping the future of industrial engineering and inspiring the next generation of engineers and researchers.

 

Publications 

📝Process Capability Index for Simple Linear Profile in the Presence of Within- and Between-Profile Autocorrelation 
Authors: Aylin Pakzad , Ali Yeganeh , Rassoul Noorossana , and Sandile Charles Shongwe
Journal: Mathematics
Year: 2024

📝Process Capability Analysis for Simple Linear Profiles 
Authors: Aylin Pakzad , S. Adibfar , H. Razavi , R. Noorossana
Journal: Quality & Quantity
Year: 2024

📝Problem Development, Model Formulation and Proposed Algorithm for Capacitated Arc Routing Problem with Priority Edges 
Authors: F. Tanhaie , Aylin Pakzad
Journal: International Journal of Industrial Engineering and Production Research
Year: 2023

📝A New Incapability Index for Simple Linear Profile with Asymmetric Tolerances 
Authors: Aylin Pakzad , E. Basiri
Journal: Quality Engineering
Year: 2023

📝Developing Loss-Based Functional Process Capability Indices for Simple Linear Profile 
Authors: Aylin Pakzad , H. Razavi , B. Sadeghpour Gildeh
Journal: Journal of Statistical Computation and Simulation
Year: 2022

 

 

Atikilt Abera | Environmental Science | Best Researcher Award

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Mr. Atikilt Abera | Environmental Science | Best Researcher Award 

Amhara Regional Agricultural Research Institute | Ethiopia

Author Profile

Orcid

Early Academic Pursuits 🎓

Mr. Atikilt Abera embarked on his academic journey with a Bachelor’s degree in Natural Resources Management from Bahir Dar University in Ethiopia. His passion for soil and water conservation led him to pursue a Master’s degree in Soil and Water Conservation Engineering at Hawassa University, where he gained a solid foundation in conservation practices and engineering principles.

Professional Endeavors 🌍

Mr. Abera has dedicated his professional career to soil and water conservation research. He is currently a researcher at the Amhara Agricultural Research Institute (ARARI) in Gondar, Ethiopia. His role involves identifying environmental problems, planning and implementing projects, and fostering collaboration among stakeholders. His expertise extends to advanced data analysis and project management, ensuring effective conservation strategies and solutions.

Contributions and Research Focus 🔬

Mr. Abera’s research is centered on soil and water conservation engineering. His work includes analyzing the effects of various tillage practices, sediment yield estimation, and the impact of conservation measures on soil properties and crop yield. He has published extensively on these topics, contributing to the understanding and development of effective conservation techniques in Ethiopia.

Accolades and Recognition 🏆

Mr. Abera has earned recognition for his contributions to soil and water conservation. His published works in reputable journals highlight his expertise and the impact of his research on the field. His involvement in significant projects such as Climate Action through Landscape Management (CALM) and International Fund for Agricultural Development (IFAD) further demonstrates his commitment to advancing environmental conservation.

Impact and Influence 🌱

Mr. Abera’s research has had a profound impact on soil and water conservation practices in Ethiopia. His work has influenced local and regional institutions, guiding community-based watershed development and providing valuable insights into effective conservation measures. His ability to analyze complex data and develop practical solutions has made him a key figure in the field.

Legacy and Future Contributions 🚀

As a leading researcher in soil and water conservation, Mr. Abera’s legacy includes a wealth of knowledge and practical solutions that continue to benefit communities and ecosystems. His ongoing research and commitment to education and collaboration ensure that his contributions will have a lasting impact on the field. Looking ahead, Mr. Abera is poised to continue advancing conservation practices and addressing environmental challenges through innovative research and collaborative efforts.

 

Publications 📰

  • Effects of tillage practices and planting techniques on crop yield and soil properties in northwestern lowlands of Ethiopia
    Author: Atikilt Abera Alemayehu, Legese Abebaw Getu, Tewodros Samual, Baye Ayalew, Hailu Kendie Addis, Tesfaye Feyisa, Tamirat Worku, Meka Tahir, Edimealem Getu
    Journal: Journal of Agriculture and Food Research
    Year: 2023
  • Cross-Correlation of Soil Moisture and Stone Content and Their Spatial Pattern Across the Different Slope Aspects and Soil Depth
    Author: Hailu Kendie Addis, Baye Ayalew, Muuz Gebretsadik, Atikilt Abera, Legese Abebaw Getu, Amsalu K. Addis
    Journal: Turkish Journal of Agriculture - Food Science and Technology
    Year: 2023
  • Estimation of sediment yield and effectiveness of level stone bunds to reduce sediment loss in the Gumara-Maksegnit watershed, Nile Basin, Ethiopia
    Author: Atikilt Abera Alemayehu, Alemayehu Muluneh, Awdenegest Moges, Hailu Kendie
    Journal: Journal of Soils and Sediments
    Year: 2020
  • Economic benefits of soil and water conservation measures at the sub-catchment scale in the northern Highlands of Ethiopia
    Author: Hailu Kendie Addis, Atikilt Abera, Legese Abebaw
    Journal: Progress in Physical Geography: Earth and Environment
    Year: 2020
  • Impacts of stone bunds on selected soil properties and crop yield in Gumara-Maksegnit watershed Northern Ethiopia
    Author: Atikilt Abera Alemayehu, Legese Abebaw Getu, Hailu Kendie Addis, Manuel Tejada Moral
    Journal: Cogent Food & Agriculture
    Year: 2020

 

Furkan Aydin | Engineering | Best Researcher Award

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Mr. Furkan Aydin | Engineering | Best Researcher Award

Polytechnic of Milan | Italy

Author profile

Orcid

🎓 Early Academic Pursuits

Furkan Aydin’s academic journey began with a strong foundation in civil engineering. He completed his BSc in Civil Engineering from Anadolu University, Eskişehir, Turkey, where he was part of an English education program. His academic excellence was further enriched by an Erasmus+ exchange program at Halmstad University, Sweden. Furkan later pursued an MSc in Civil Engineering for Risk Mitigation at Politecnico di Milano, Italy. His master's thesis focused on a method to process eye-tracker data with image processing algorithms for driver behavior analysis, showcasing his ability to merge traditional engineering with modern technological approaches.

🛠️ Professional Endeavors

Furkan Aydin’s professional career is marked by diverse roles in civil engineering and risk management. His journey started with internships at Yörük Yapı in Istanbul and Gülermak Heavy Industries Construction & Contracting Co. in Warsaw, where he gained hands-on experience in civil engineering. He later transitioned to a Site Civil Engineer role at Yörük Yapı and subsequently worked as a Technical Office Engineer, responsible for tendering and procurement for significant projects like the Annapol Tramline Depot in Warsaw. Currently, Furkan is a Reinsurance Associate Specialist at Anadolu Sigorta in Istanbul, reflecting his versatility in both engineering and financial risk management.

📚 Contributions and Research Focus

Furkan has made notable contributions in the field of civil engineering, particularly in risk management and driver behavior analysis. His research interests are broad, encompassing geospatial data processing, structural assessment, fire and blast safety, and transport management in emergency planning. His work has been recognized in academic publications, including a paper on analyzing driver visual behavior using eye-tracker data, published in Applied Sciences.

🏆 Accolades and Recognition

Furkan’s academic and professional excellence has been recognized through various certifications and accolades. He has earned certifications in Python programming, data science, and MATLAB, among others. His proficiency in civil engineering tools like AutoCAD, STA4CAD, and SAP2000, coupled with his language skills in English, Italian, and Turkish, positions him as a well-rounded professional in his field.

🌍 Impact and Influence

Furkan Aydin’s work in risk management and civil engineering has had a significant impact on the projects he has been involved in, particularly in the context of infrastructure development and emergency planning. His research on driver behavior analysis using cutting-edge technology contributes to the broader understanding of traffic safety and urban planning.

🌟 Legacy and Future Contributions

As Furkan continues his career, his legacy is likely to be defined by his innovative approach to integrating technology with traditional civil engineering practices. His future contributions will likely focus on advancing the fields of risk management, infrastructure development, and urban planning, making him a pivotal figure in shaping the future of civil engineering.

 

Publications 📚

📄 An Image Processing-Based Method to Analyze Driver Visual Behavior Using Eye-Tracker Data
Authors: Furkan Aydin, Giandomenico Caruso, Lorenzo Mussone
Journal: Applied Sciences
Year: 2024

 

Heng Luo | Computer Science | Best Researcher Award

Posted on by Book of Award

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