Manar Hamza | Computer Science Data mining | Best Researcher Award

Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Joy Chen | Political Science | Best Researcher Award

Dr. Renmin University of China China

Joy Chen is an Assistant Professor of Economics at Renmin University of China, specializing in political economy, institutions, economic history, and contemporary Chinese economy. She holds a Ph.D. in Economics from Stanford University and a B.Comm. in Economics and B.S. in Mathematics and Statistics from the University of Melbourne. Her research, widely published in top journals like the American Journal of Political Science and Journal of Economic History, explores state-building, elite compensation, and bureaucratization in historical China. She has received numerous awards, including the ASEAN Business Research Initiative Grant and the SIEPR Dissertation Fellowship. Chen is bilingual in Chinese and English and proficient in programming languages such as Python and STATA.

 

Professional Profiles:

🎓 Education

Stanford University
Ph.D. in Economics, 2013—2019
Committee: Avner Greif (chair), James Fearon, Saumitra Jha, Avidit AcharyaUniversity of Melbourne
B.Comm. in Economics (with Honours), 2012
B.S. in Mathematics and Statistics, 2011

💼 Current Employment

Renmin University of China, School of EconomicsAssistant Professor of Economics, Feb 2024—Present

💼 Previous Employment

Cheung Kong Graduate School of Business
Assistant Professor of Economics, July 2019—Jan 2024

📚 Research Area

Political economy, institutions, economic history, contemporary Chinese economy

ers & Work in Progress

Industrial Policy in a New Era: Government Venture Capital in the U.S.-China Trade War (with Robin K. Gong and Jinlin Li)State-Building or State-Weakening? The Consequences of Military Control in Medieval China (with Erik H. Wang)Political Elites and Human Capital Formation in Pre-Imperial ChinaMatriarch for the Patriarch: Female Regency and Political Stability in Historical China (with Reed Lei and Xiuyu Li)

📚 Teaching

Renmin University of China 2024—
Economic History (Early and Medieval China) (Graduate)Cheung Kong Graduate School of Business 2020–2024
Mechanisms of Organizational Governance: Historical Bureaucracies and Modern Firms (MBA)Stanford University Teaching Assistant Fall 2015–Spring 2017
Economic Analysis I (Undergraduate; Winter 2016, Spring 2017)
Economic Development: A Historical Perspective (Undergraduate; Spring 2016)
Economic Analysis III (Undergraduate; Fall 2015)

🏆 Honors and Awards

ASEAN Business Research Initiative Grant, 2022SIEPR Dissertation Fellowship, Stanford Institute for Economic Policy and Research, 2018Best Paper Award, the 6th International Symposium of Quantitative History, 2018Pre-Doctoral Fellowship, Stanford Center at Peking University, 2016Bradley Graduate Fellowship, Stanford Institute for Economic Policy and Research, 2016Stanford Graduate Fellowship, Department of Economics, Stanford University, 2013–2014Melbourne National Scholarship, University of Melbourne, 2009–2011Australian Student Prize, Australian Federal Government, 2009

🎤 Seminar and Conference Presentations

2024: EHS Annual Conference (scheduled); 10th International Symposium on Quantitative History (scheduled)2023: Peking University, National School of Development; Shanghai Jiao Tong University; East China University of Political Science and Law; Workshop on Political Economy and Governance (PKU); University of Auckland; China Political Science Speaker Series; Workshop on Historical State and Governance (Renmin); ABRI Research Conference (CKGSB-SMU); Peking University, Center for Social Research; Cliometrics Workshop (Tsinghua)2022: Quantitative History Webinar; SIOE Annual Meeting; Conference on Mechanism and Institution Design; World Economic History Congress; Cliometrics Workshop (PKU)2021: Peking University, School of Economics; Monash University; CEPR Economic History Workshop; 8th International Symposium on Quantitative History; China-Europe International Business School; Jinan University; 8th Australasian Cliometrics Workshop2020: UC San Diego; Japanese Empirical Economics Seminar2019: Edgeworth Economics; CKGSB; Peking University, National School of Development; EHA Annual Meeting2018: 6th International Symposium on Quantitative History; Tsinghua University; Fudan University; Shanghai University of Finance and Economics; East China Normal University

✍️ Refereeing Activities

AEJ: Economic Policy, American Political Science Review, Asia-Pacific Economic History Review, Explorations in Economic History, Journal of Comparative Economics, Journal of Economic Behavior and Organizations, Journal of Economic History, Journal of Government and Economics, Journal of Institutional and Theoretical Economics, Oxford Economic Papers

Joy Chen for the Best Researcher Award

Strengths for the Award:

  1. Impressive Academic Background: Joy Chen holds a Ph.D. in Economics from Stanford University, a leading institution globally, demonstrating her solid academic foundation. Her education, guided by notable scholars like Avner Greif, positions her well in the field of political economy.
  2. Research Excellence and Publications: Joy has published several impactful papers in prestigious journals such as the American Journal of Political Science and the Journal of Economic History. Her research on state formation, bureaucratization, and the economic history of China has been recognized, with one of her papers winning the Best Paper Award at the 6th International Symposium of Quantitative History. This highlights her ability to produce high-quality, influential research.
  3. Diverse Research Areas: Her work spans various critical areas, including political economy, economic history, and contemporary Chinese economy, with a specific focus on state-building, political elites, and the impact of government policies. This multidisciplinary approach adds depth to her research and increases its relevance across different fields.
  4. Active Engagement in Academic Community: Joy Chen actively participates in seminars and conferences worldwide, presenting her work at top institutions and international symposia. This engagement not only showcases her research but also contributes to the global academic discourse.
  5. Bilingual Proficiency and Technical Skills: Fluent in both Chinese and English, Joy can effectively communicate her research to a global audience. Her proficiency in programming languages like Python, STATA, and MATLAB further enhances her research capabilities, allowing for sophisticated data analysis and modeling.

Areas for Improvement:

  1. Broaden Research Impact: While her work has been recognized in specific academic circles, there is potential for Joy to increase the societal impact of her research. This could involve translating her findings into policy recommendations or collaborating with policymakers to ensure her research informs real-world decisions.
  2. Expand International Collaboration: Joy could further her impact by collaborating more extensively with international researchers. While she has participated in global conferences, forming research partnerships across different regions could bring new perspectives and further diversify her work.
  3. Visibility in Public Discourse: Increasing her presence in public and policy discussions through media contributions, op-eds, or public lectures could enhance her visibility and the real-world application of her research.

 

✍️Publications Top Note :

Riding Out the COVID-19 Storm: How Government Policies Affect SMEs in China
Authors: J. Chen, Z. Cheng, R.K. Gong, J. Li
Journal: China Economic Review, Vol. 75, 2022, Article 101831
Citations: 65

Media Attention and Choice of Major: Evidence from Anti-Doctor Violence in China
Authors: S. Bo, J. Chen, Y. Song, S. Zhou
Journal: Journal of Economic Behavior & Organization, Vol. 170, 2020, pp. 1-19
Citations: 19

From Powerholders to Stakeholders: State-Building with Elite Compensation in Early Medieval China
Authors: J. Chen, E.H. Wang, X. Zhang
Journal: American Journal of Political Science, 2023
Citations: 13* (conditionally accepted)

State Formation and Bureaucratization: Evidence from Pre-Imperial China
Author: J. Chen
Journal: Journal of Economic History, 2023
Citations: 6

Political Elites and Human Capital Formation in Pre-Imperial China
Author: J. Chen
*Available at SSRN, 2024
Citations: 2

Industrial Policy in a New Era: Government Venture Capital in the U.S.-China Trade War
Authors: J. Chen, R.K. Gong, J. Li
Available at SSRN, 2022
Citations: 1

State-Building or State-Weakening? The Consequences of Military Control in Medieval China
Authors: J. Chen, E.H. Wang
*Available at SSRN, 2024
Citations: N/A

Mate Preferences and House Prices in China: Evidence from Online Mate Search
Authors: J. Chen, S. Liu
Year: 2018

The Economic History of China: From Antiquity to the Nineteenth Century by Richard von Glahn
Authors: Y.J. Chen, A. Greif
Journal: Harvard Journal of Asiatic Studies, Vol. 78, No. 2, 2018, pp. 576-585

Conclusion:

Joy Chen is a strong candidate for the Best Researcher Award, given her significant contributions to political economy and economic history, particularly regarding China. Her academic background, research output, and active participation in the academic community demonstrate her potential for continued impact. By broadening her research impact and increasing international collaboration, she could further elevate her standing as a leading researcher in her field

Prof. Sung-Fu Hung | Dynamic observation Award | Best Researcher Award

Prof. Sung-Fu Hung | Dynamic observation Award | Best Researcher Award

Prof. Sung-Fu Hung, National Yang Ming Chiao Tung University, Taiwan

Prof. Sung-Fu Hung is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Orcid

Google scholar

🎓 Education

Ph.D. in Chemistry, National Taiwan UniversityM.S. in Materials Science and Engineering, National Tsing-Hua UniversityB.S. in Materials Science and Engineering (Major) and Chemistry (Minor), National Tsing-Hua University

🔬 Research Interests

Synthesis of nanostructural materials for (photo-)electrocatalysts(Photo-)electrocatalysis: oxygen evolution reaction (OER), hydrogen evolution reaction (HER), oxygen reduction reaction (ORR), and CO2 reduction reaction (CO2RR)Flow systems for scalable water and CO2 electrolysisDevelopment of in-situ techniques for (photo-)electrocatalysts: hard/soft X-ray absorption spectroscopy (XAS), high-energy-resolution fluorescence-detection X-ray absorption spectroscopy (HERFD-XAS), X-ray diffraction (XRD), Raman spectroscopy

💼 Work Experience

Assistant Professor, National Yang Ming Chiao Tung UniversityAssistant Professor, National Chiao Tung UniversityPostdoctoral Research Fellow, University of TorontoPostdoctoral Research Fellow, National Taiwan UniversityResearch Associate, Nanyang Technological UniversityResearch Assistant, National Taiwan UniversityResearch Assistant, Academia Sinica

📊 Citation Metrics (Google Scholar):

Citations by: All – 17096, Since 2019 – 15347
h-index: All – 47, Since 2018 – 44
i10 index: All – 68, Since 2018 –68

📖 Publications  Top Note :

  1. “Electrocatalysis for the oxygen evolution reaction: recent development and future perspectives”
    • Authors: NT Suen, SF Hung, Q Quan, N Zhang, YJ Xu, HM Chen
    • Journal: Chemical Society Reviews (2017)
    • Key Points: Provides a thorough review of recent developments and future directions in electrocatalysis for the oxygen evolution reaction, offering insights into catalyst design and potential applications.
  2. “Atomically dispersed Ni (I) as the active site for electrochemical CO2 reduction”
    • Authors: HB Yang, SF Hung, S Liu, K Yuan, S Miao, L Zhang, X Huang, HY Wang, et al.
    • Journal: Nature Energy (2018)
    • Significance: Investigates atomically dispersed Ni (I) as an active site for electrochemical CO2 reduction, highlighting its potential for sustainable CO2 conversion technologies.
  3. “Identification of catalytic sites for oxygen reduction and oxygen evolution in N-doped graphene materials: Development of highly efficient metal-free bifunctional electrocatalyst”
    • Authors: HB Yang, J Miao, SF Hung, J Chen, HB Tao, X Wang, L Zhang, R Chen, et al.
    • Journal: Science Advances (2016)
    • Key Findings: Identifies catalytic sites for oxygen reduction and oxygen evolution in N-doped graphene materials, laying the foundation for efficient metal-free bifunctional electrocatalysts.
  4. “In-Operando Identification of Geometrical-Site-Dependent Water Oxidation Activity of Spinel Co3O4”
    • Authors: HY Wang, SF Hung, HY Chen, TS Chan, HM Chen, B Liu
    • Journal: Journal of the American Chemical Society (2015)
    • Insights: Utilizes in-operando techniques to identify geometrical-site-dependent water oxidation activity of spinel Co3O4, advancing the understanding of water oxidation mechanisms.
  5. “Copper atom-pair catalyst anchored on alloy nanowires for selective and efficient electrochemical reduction of CO2”
    • Authors: J Jiao, R Lin, S Liu, WC Cheong, C Zhang, Z Chen, Y Pan, J Tang, K Wu, et al.
    • Journal: Nature Chemistry (2019)
    • Key Contribution: Introduces a copper atom-pair catalyst anchored on alloy nanowires for selective and efficient electrochemical reduction of CO2, demonstrating its potential for sustainable CO2 conversion.
  6. Operando Studies for CO2/CO Reduction in Flow-Based Devices”
    • Journal: ChemNanoMat (2024, accepted)
    • Key Contribution: Investigates operando studies for CO2/CO reduction in flow-based devices, providing insights into the reaction mechanisms and catalyst performance under realistic conditions.
  7. “Enhanced Carbon-Carbon Coupling at Interfaces with Abrupt Coordination Number Changes”
    • Journal: ChemSusChem (2024, accepted)
    • Significance: Demonstrates enhanced carbon-carbon coupling at interfaces with abrupt coordination number changes, offering new opportunities for catalytic transformations.
  8. “Constructing regulable supports via non-stoichiometric engineering to stabilize ruthenium nanoparticles for enhanced pH-universal water splitting”
    • Journal: Nature Communications (2024, accepted)
    • Insights: Presents a novel approach to stabilize ruthenium nanoparticles for enhanced pH-universal water splitting, addressing key challenges in electrocatalysis.
  9. “Dynamic Chloride ion Adsorption on Single Iridium Atom Boosts Seawater Oxidation Catalysis”
    • Journal: Nature Communications (2024)
    • Key Findings: Investigates dynamic chloride ion adsorption on single iridium atom catalysts, leading to boosted seawater oxidation catalysis, with implications for sustainable energy production.
  10. “Radiation Resistant Chalcopyrite CIGS Solar Cells: Proton Damage Shielding with Cs Treatment and Defect Healing via Heat-light Soaking”
    • Journal: J. Mater. Chem. A (2024, accepted)
    • Significance: Explores radiation-resistant chalcopyrite CIGS solar cells, highlighting proton damage shielding and defect healing mechanisms for improved device performance.