Dr. Rana Sabouni | Detection | Academic Excellence Award

Dr. Rana Sabouni | Detection | Academic Excellence Award

Dr. Rana Sabouni, American University of Sharjah, United Arab Emirates

Dr. Rana Sabouni is a prominent figure in the field of Chemical Engineering, currently serving as an Associate Professor at the American University of Sharjah (AUS). She holds a Ph.D. and M.Sc. in Chemical and Biochemical Engineering from the University of Western Ontario, and a B.S. in Chemical Engineering and Petroleum Science from the University of United Arab Emirates. Dr. Sabouni’s research focuses on advanced materials, particularly Metal Organic Frameworks (MOFs), with applications in environmental sustainability, drug delivery systems, and CO2 adsorption. She has received numerous accolades, including the Outstanding Interdisciplinary Research Award and various research grants from AUS. Her dedication to innovative solutions in chemical engineering extends into her teaching, where she inspires future engineers through a combination of theory and practical applications.

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Summary of Suitability for the Research for Academic Excellence Award:

Dr. Rana Sabouni, an associate professor in the Chemical Engineering Department at the American University of Sharjah, presents a strong profile for the Research for Academic Excellence Award. She holds a Ph.D. and M.Sc. in Chemical and Biochemical Engineering from the University of Western Ontario and has over a decade of academic experience. Her research focuses on cutting-edge areas such as Metal Organic Frameworks (MOFs), CO2 adsorption processes, drug delivery systems, and environmental pollutant detection. These are not only highly relevant to contemporary global challenges but also contribute significantly to the fields of chemical engineering and interdisciplinary research.

🎓   Education 

Dr. Rana Sabouni completed her Ph.D. in Chemical and Biochemical Engineering at the University of Western Ontario in 2013. Her doctoral work focused on advanced materials for environmental and biochemical applications, particularly in the areas of Metal Organic Frameworks (MOFs) and CO2 capture. Prior to that, she earned her M.Sc. in Chemical and Biochemical Engineering from the same university in 2009, concentrating on sustainable chemical processes. Dr. Sabouni also holds a B.S. (Hons.) in Chemical Engineering and Petroleum Science from the University of United Arab Emirates, which she completed in 2006. Her comprehensive educational background has provided her with a deep understanding of chemical processes, enabling her to explore innovative solutions for environmental challenges and drug delivery systems.

💼    Experience 

Dr. Rana Sabouni has extensive academic experience, currently serving as an Associate Professor at the American University of Sharjah since 2020. She previously held the position of Assistant Professor at the same institution from 2014 to 2020. Before joining AUS, she worked as a Post-doctoral Fellow at the University of Western Ontario, where she focused on environmental sustainability research. She has also contributed as a Research and Teaching Assistant at the University of Western Ontario from 2007 to 2013, where she developed her expertise in chemical and biochemical engineering. Dr. Sabouni’s practical and research experience spans across multiple areas, including CO2 adsorption, environmental applications of MOFs, and the development of anticancer drug delivery systems.

🏅   Awards and Honors 

Dr. Rana Sabouni has received numerous awards and grants for her research and academic contributions. In 2023-2024, she was honored with the Outstanding Interdisciplinary Research Award for her innovative work in sensing applications. She has also secured several Faculty Research Grants, including funding for projects like developing fluorescence-based biosensing platforms and MOF-based photo-reactors for pollutant removal. Notably, Dr. Sabouni received the Teaching Excellence Award at AUS for the academic year 2019-2020. She has also been recognized with prestigious scholarships, including the Ontario Graduate Scholarship and MITACs Accelerated Graduate Scholarship during her time at the University of Western Ontario. Dr. Sabouni’s accolades reflect her commitment to advancing chemical engineering research and education.

🌍  Research Focus 

Dr. Rana Sabouni’s research primarily centers on Metal Organic Frameworks (MOFs), with a strong emphasis on their environmental and biomedical applications. Her work on MOFs for CO2 adsorption and micropollutant removal from aqueous solutions addresses critical global environmental challenges. In addition to environmental sustainability, she is deeply involved in developing novel nanocarriers for anticancer drug delivery, exploring the effects of external stimuli such as light, ultrasound, and microwaves on drug release profiles. Dr. Sabouni is also focused on advancing biosensor technologies, specifically in the detection of heavy metals and pollutants. Her research combines chemistry, material science, and engineering to offer innovative solutions in both environmental sustainability and healthcare.

📖 Publication Top Notes

  • Title: Carbon dioxide capturing technologies: a review focusing on metal organic framework materials (MOFs)
    Cited by: 238
  • Title: A novel combined manufacturing technique for rapid production of IRMOF-1 using ultrasound and microwave energies
    Cited by: 161
  • Title: Anti-cancer drug delivery using metal organic frameworks (MOFs)
    Cited by: 115
  • Title: Micropollutants removal from water using microfiltration membrane modified with ZIF-8 metal organic frameworks (MOFs)
    Cited by: 105
  • Title: Biomedical applications of metal− organic frameworks for disease diagnosis and drug delivery: a review
    Cited by: 99

 

Mr. Azat Tleubayev | Biological Sciences | Best Researcher Award

Mr. Azat Tleubayev | Biological Sciences | Best Researcher Award

Mr. Azat Tleubayev, NCJSC S.Seifullin Kazakh Agro Technical Research University, Kazakhstan

Azat Tleubayev is a Ph.D. candidate in Economics at S. Seifullin Kazakh Agro Technical University in Astana, Kazakhstan, where he has been pursuing his doctorate since 2021. He holds a Master of Science degree in Economics, awarded by the same institution in 2016. Azat’s scientific interests revolve around Agriculture, with a particular focus on material and technical facilities in the grain industry. His professional experience includes working as an Analytical Expert in Kazakhstan’s agricultural sector, where he has contributed to the industry’s development by providing insightful analysis. With a solid academic foundation and practical expertise, Azat is committed to advancing research that benefits Kazakhstan’s agricultural landscape.

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Summary of Suitability for the Research for Best Researcher Award

Azat Tleubayev is a promising candidate for the Research for Best Researcher Award. His research in agriculture, paired with his practical experience, reflects a commitment to solving key issues in the grain industry. His ongoing Ph.D. work and background in Economics position him as an emerging expert in his field, making him well-suited for recognition in this category.

🎓 Education

Azat Tleubayev embarked on his academic journey at S. Seifullin Kazakh Agro Technical University, where he earned both his undergraduate and graduate degrees. In 2016, he completed his Master of Science in Economics, specializing in Agriculture, with a focus on material and technical facilities in the grain industry. His education laid the groundwork for his in-depth understanding of agricultural economics and the challenges faced by Kazakhstan’s grain sector. Currently, Azat is furthering his education as a Ph.D. candidate at the same institution, concentrating on topics that intersect agricultural innovation and economic efficiency. His academic excellence, combined with his passion for Kazakhstan’s agriculture, makes him a promising researcher in his field.

💼    Experience

Azat Tleubayev has extensive experience in the agricultural sector of Kazakhstan. He worked as an Analytical Expert, where he applied his expertise in economic analysis to help improve the efficiency of material and technical facilities within the grain industry. His work involved evaluating key performance metrics, developing strategies for optimization, and providing expert insights to stakeholders. This experience not only honed his analytical skills but also deepened his understanding of the challenges and opportunities in Kazakhstan’s agriculture. Azat’s role in this sector has been pivotal, as his contributions have helped streamline operations and foster better resource allocation in the grain industry.

🏅  Awards and Honors

Azat Tleubayev has earned recognition for his academic and professional contributions. He has been awarded various honors during his academic career, including merit-based scholarships and commendations for his research in agricultural economics. His Master’s thesis, which focused on the material and technical facilities in Kazakhstan’s grain industry, was highly praised by his peers and professors, earning him special recognition from his university. Additionally, Azat has received accolades for his contributions to agricultural projects, demonstrating his capability to bridge academic research and practical industry needs. His ongoing Ph.D. work has also been acknowledged for its potential impact on Kazakhstan’s agricultural sector.

🌍   Research Focus

Azat Tleubayev’s research is primarily centered on agricultural economics, with a special focus on the material and technical aspects of the grain industry. His work aims to explore ways to optimize resources, improve efficiency, and foster sustainable practices within Kazakhstan’s agriculture. Through his Ph.D. research, he is investigating the critical factors that affect the performance of material and technical facilities in the grain industry, aiming to propose strategies that could enhance productivity and economic outcomes. His dedication to this niche field positions him as a key contributor to Kazakhstan’s agricultural research and policy-making.

📖 Publication Top Notes

  • Econometric Analysis of the Sustainability and Development of an Alternative Strategy to Gross Value Added in Kazakhstan’s Agricultural Sector
  • Analysis of Sustainable Development of SMEs in Agriculture
  • Establishment of the Necessary Material and Technical Base Lays the Groundwork for the Use of Innovation in the Grain Industry
  • Correction of the Course of Agricultural Policy of the European Union Based on the Example of the Federal Republic of Germany
  • Technical Park of Grain Subcomplex of Kazakhstan: State and Prospects

Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu | Resilience | Best Researcher Award

Mr. Daniel Morariu, Lucian Blaga University of Sibiu, Romania

Morariu Ionel Daniel is an esteemed associate professor at “Lucian Blaga” University of Sibiu, Romania, with expertise in computer science, automatic systems, data mining, and machine learning. Born on September 17, 1974, in Sighisoara, he has dedicated over two decades to education and research. He holds a Bachelor’s and Master’s degree in Computer Science from “Lucian Blaga” University and completed his PhD in Computer Science with a focus on “Automatic Knowledge Extraction from Unstructured Data” in 2007. Daniel has been a consistent contributor to advanced research, particularly in data mining, neural networks, and natural language processing. With a robust portfolio of software engineering and academic experience, his career includes impactful projects in automation systems, energy control solutions, and numerous published research papers. His dedication to knowledge dissemination and technological advancements has earned him respect in both academic and industrial circles.

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Summary of Suitability for the Award

Dr. Morariu Ionel Daniel stands out as a highly qualified candidate for the Research for Best Researcher Award, particularly due to his extensive academic background, research experience, and contributions in the field of Computer Science. His educational path, including a PhD focused on automatic knowledge extraction from unstructured data, demonstrates his depth in data mining and machine learning, areas that are essential in today’s technological landscape. Furthermore, his PhD was supported by SIEMENS Corporate Technology, highlighting the practical relevance of his work.

 🎓  Education 

Daniel Morariu completed his secondary education at “Mircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at “Lucian Blaga” University of Sibiu’s Engineering Faculty, earning a Bachelor’s degree in Computer Science and Automatic Systems in 1998. His academic journey continued with a Master’s degree in Computer Science in 1999, specializing in “Parallel and Distribute Processing Systems” from the same university. His thirst for knowledge culminated in a PhD in Computer Science, awarded in April 2007. His PhD research focused on “Contributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. Vințan. Supported by SIEMENS Corporate Technology from Munich, his doctoral research provided significant insights into data mining and natural language processing. This strong educational foundation has positioned him as a distinguished academic in the field of computer science.

💼     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at “Lucian Blaga” University in 1998, contributing to courses such as Microprocessors and Object-Oriented Programming. From 2003 to 2007, he served as a lecturer, teaching advanced courses in Neural Networks and Data Mining. In 2007, he became an associate professor, focusing on courses like Data Mining, Machine Learning, and Interfaces and Communication Protocols. Outside academia, Morariu gained valuable industry experience. He worked with SC Consultens Informationstechnik SRL, a German software company, as a software engineer from 2001 to 2002. He also worked as an engineer at SC IRMES SA Sibiu from 1998 to 2000, developing software for monitoring generators and controlling gas supply in thermoelectric power stations. His career reflects a strong blend of academic expertise and practical industry experience, especially in computer science and automation systems.

🏅  Awards and Honors

Throughout his career, Daniel Morariu has been recognized for his contributions to computer science and engineering. His PhD research, supported by SIEMENS Corporate Technology from Munich, was a notable achievement, reflecting both scientific and financial backing from a prestigious institution. Over the years, his dedication to teaching and research has earned him accolades within the academic community at “Lucian Blaga” University, including recognition for his innovative approach to data mining and machine learning education. His work in automation systems, particularly in the energy sector, has also been praised for its practical applications, further solidifying his status as a leading figure in the intersection of academia and industry. Though specific awards are not listed, his consistent professional growth and contributions speak to a career filled with academic accomplishments and recognition.

 🌍  Research Focus

Daniel Morariu’s research primarily revolves around data mining, machine learning, and natural language processing. His academic focus is on extracting meaningful knowledge from unstructured data using advanced techniques such as Support Vector Machines (SVM) and neural networks. His PhD dissertation on “Contributions to Automatic Knowledge Extraction from Unstructured Data” set the foundation for his continuing research into text document processing and computational linguistics. Additionally, he explores the applications of these technologies in real-world problems, particularly in automation systems and energy sector monitoring. His work on computational linguistics helps bridge the gap between machine learning models and language understanding, while his research in data mining enhances predictive models across industries. Morariu’s blend of theoretical research and practical applications has made him a valuable contributor to advancements in these fields, influencing both academic research and industrial applications.

📖 Publication Top Notes

  • Feature selection methods for an improved SVM classifier
    • Cited by: 31
  • Meta-Classification using SVM Classifiers for Text Documents
    • Cited by: 27
  • The WEKA Multilayer Perceptron Classifier
    • Cited by: 22
  • Text Mining Methods Based on Support Vector Machine
    • Cited by: 22
  • Evolutionary Feature Selection for Text Documents Using the SVM
    • Cited by: 22

Dr. Yong Kyu Gam | Banking | Best Researcher Award

Dr. Yong Kyu Gam | Banking | Best Researcher Award

Dr. Yong Kyu Gam, University College Dublin, Ireland

Kevin (Yong Kyu) Gam is an Assistant Professor of Finance at University College Dublin’s Michael Smurfit Graduate Business School. With a robust academic background and extensive research in banking, financial regulation, and corporate finance, Kevin has earned tenure in 2023 and holds key leadership positions, including Programme Director for the MSc in Finance and MSc in Sustainable Finance. Previously, he held academic roles at the Institute of Financial Studies, Southwestern University of Finance and Economics in China. His professional experience spans over a decade with Korea’s Financial Supervisory Service, where he served in various capacities, including senior management roles. His research on ESG, sustainability, and financial stability has gained wide recognition in top-tier journals, establishing him as a thought leader in finance.

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Summary of Suitability for the Research for Best Researcher Award

Kevin (Yong Kyu) Gam is an excellent candidate for the Research for Best Researcher Award. His deep academic credentials, strong research portfolio, and active role in the academic community through teaching and conference participation demonstrate a high level of scholarly achievement. Moreover, his ability to bridge theory with practical financial regulation, especially in the evolving areas of ESG and financial technology, positions him as a researcher contributing significantly to the field of finance. He embodies the qualities of a top researcher, making him highly deserving of this recognition.

 🎓  Education

Kevin (Yong Kyu) Gam has a rich academic foundation. He earned his Doctor of Business Administration (DBA) in Finance from Washington University in St. Louis in 2017. Prior to this, he completed his Master of Business Administration (MBA) with a focus on Finance from The University of Texas at Austin in 2014. His academic journey began in South Korea, where he graduated Cum Laude with a Bachelor of Arts in Economics from Seoul National University in 2004. His diverse educational experience has equipped him with strong analytical, research, and leadership skills, paving the way for his successful academic and professional career in finance. His academic focus has spanned several international institutions, offering him a global perspective on financial systems, corporate governance, and banking.

 💼 Experience 

Kevin (Yong Kyu) Gam’s professional career balances academia and practical finance. He is currently an Assistant Professor of Finance at University College Dublin, where he also serves as the Programme Director for the MSc in Finance and Sustainable Finance. Prior to his academic role, Kevin worked at the Financial Supervisory Service in Seoul, Korea, from 2004 to 2017, holding senior management positions in departments like Bank Supervision and Credit Supervision. Additionally, Kevin was involved in international financial policy as part of the Basel Committee on Banking Supervision. His professional journey also includes roles as an Assistant/Associate Professor at Southwestern University of Finance and Economics in China. This rich combination of regulatory experience and academic research positions him as an influential figure in financial supervision, corporate governance, and financial intermediation.

🏅 Awards and Honors

Kevin (Yong Kyu) Gam has achieved numerous recognitions throughout his career. In 2023, he earned tenure at University College Dublin, reflecting his academic excellence and leadership in finance education. His appointment as Programme Director for two prestigious MSc programs underscores his contributions to curriculum development and student engagement. He has also been a recipient of several grants supporting his innovative research on ESG, sustainability, and corporate governance, which have been published in top-tier journals. Kevin has presented his research at high-profile international conferences, such as the Financial Management Association (FMA) and the Economics of Financial Technology Conference, gaining recognition for his contributions to banking and finance. His work as a referee for leading journals highlights his thought leadership and commitment to advancing financial scholarship.

🌍 Research Focus

Kevin (Yong Kyu) Gam’s research primarily focuses on financial regulation, banking, and ESG (Environmental, Social, Governance) integration in corporate finance. His work examines the intersection of financial intermediation and sustainability, particularly how banks respond to regulatory changes and environmental pressures. Kevin’s research addresses pressing issues like the impact of climate transition on bank liquidity, corporate governance reform, and financial stability under ESG frameworks. He is particularly interested in the real-world application of financial regulation, examining the effects of legal and economic policies on banking operations and corporate decision-making. His scholarly contributions also extend to fintech and the role of financial technology in shaping future banking systems. With several published papers in top journals, Kevin’s research plays a crucial role in understanding modern finance’s evolving challenges, especially in sustainability and corporate governance.

📖 Publication Top Notes

  • The effect of ex ante litigation risk on corporate fraud: Evidence from securities class action act in Korea
  • Decision-Making Delegation in Banks
  • The effect of ESG-motivated turnover on firm financial risk

    Citation: 1

  • Environmental reputation and bank liquidity: Evidence from climate transition

    Citation: 7 

  • US National Banks and Local Economic Fragility

    Citation: 2