Dr. Dina Aboushady | Pharmaceutical Analysis | Best Researcher Award

Published on 22/01/202522/01/2025 by Invention Awards

Dr. Dina Aboushady | Pharmaceutical Analysis | Best Researcher Award

German University in Cairo, Egypt.

Dr. Dina Aboushady is a distinguished Postdoctoral Lecturer Assistant in the Faculty of Pharmacy and Biotechnology at the German University in Cairo (GUC), specializing in pharmaceutical chemistry. With a deep passion for drug design and bioanalysis, her research bridges innovative solutions in chiral recognition and pharmaceutical quality. She has significantly contributed to the development of quinazoline derivatives and enantiomeric resolution methods. Her career is marked by numerous awards, including prestigious scholarships and research fellowships. Dr. Aboushady also brings valuable teaching experience to her role at GUC and GIU (German International University).

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Education 🎓

Dr. Aboushady obtained her Bachelor's degree in Pharmacy and Biotechnology from the German University in Cairo (GUC) in 2014, graduating with highest honors. She continued her studies and earned a Master's of Science in Pharmaceutical Chemistry in 2016 with excellent grades. Her Doctor of Philosophy (Ph.D.) in Pharmaceutical Chemistry was awarded in 2021, focusing on Quality by Design for Bioanalysis and chiral recognition. Her commitment to research excellence was further recognized with scholarships such as the DAAD/BMBF/GUC funded fellowship and the full Ph.D. fellowship from GUC.

Experience 💼

Dr. Aboushady currently serves as a Postdoctoral Lecturer Assistant at GUC and a Part-time Lecturer at the German International University (GIU), teaching courses like Physical Chemistry, Analytical Chemistry, and Instrumental Analysis. Her teaching extends across several campuses in Cairo and Berlin. Additionally, she has contributed to various workshops such as Grant Writing and LC-MS Essential Operator workshops, emphasizing her active role in academic development and mentoring.

Research Interests 🔬

Pharmaceutical Chemistry Expertise 🔬
Dr. Dina Aboushady specializes in pharmaceutical chemistry, focusing on the design and synthesis of novel drug molecules. Her work includes developing innovative bioanalytical methods that advance the understanding and application of pharmaceutical compounds.

Enantio-Separation and Supercritical Fluid Chromatography (SFC) 🔍
A major part of Dr. Aboushady's research lies in enantio-separation, a process critical to the bioanalysis and quality control of pharmaceutical products. She utilizes supercritical fluid chromatography (SFC), a powerful technique to separate chiral compounds, enabling more precise drug quality assessment and development.

Chiral Recognition in Drug Design 💊
Dr. Aboushady's contributions to chiral recognition are pivotal in optimizing the effectiveness of pharmaceutical products. By understanding and improving how drugs interact with their chiral forms, she plays a crucial role in ensuring that drugs are both safe and effective.

Pharmaceutical Analysis and Drug Quality Control 🔬
Her research in pharmaceutical analysis focuses on improving drug quality control through advanced separation techniques. Dr. Aboushady’s work ensures that pharmaceutical products meet the required standards for efficacy and safety, contributing significantly to drug development and bioanalysis.

Awards 🏆

DAAD/BMBF/GUC Scholarship (2019-2020) for research stay in Germany.

Full Ph.D. Fellowship (2016-2021) at GUC.

Academic Excellence Scholarship (2009-2014) for Bachelor studies at GUC.

DAAD Scholarship for Drug Design Course (Summer 2013) in Germany.

Selected Publications 📚

Aboushady, D., Parr, M. K., Hanafi, R. S., Quality-by-Design Is a Tool for Quality Assurance in the Assessment of Enantioseparation of a Model Active Pharmaceutical Ingredient. Pharmaceuticals, 2020, 13(11), 364.

Aboushady, D., Rasheed, S. S., Herrmann, J., Novel 2,4-disubstituted quinazoline analogs as antibacterial agents with improved cytotoxicity profile. Bioorg Chem., 2021, 117, 105422.

Aboushady, D., Hanafi, R. S., Parr, M. K., Quality by design approach for enantioseparation of terbutaline and its sulfate conjugate metabolite for bioanalytical application using supercritical fluid chromatography. J Chromatogr A., 2022, 1676, 463285.

Aboushady, D., Samir, L., Masoud, A., Chemometric Approaches for Sustainable Pharmaceutical Analysis Using Liquid Chromatography. Chemistry, 2025, 7(1), 11.

Dr. Muhammad Shuaib | Poultry Science | Best Researcher Award

Published on 22/01/202522/01/2025 by Invention Awards

Dr. Muhammad Shuaib | Poultry Science | Best Researcher Award

Livestock (Research) and Dairy Development Department Government of Khyber Pakhtunkhwa, Pakistan.

Dr. Muhammad Shuaib is a dedicated researcher and scholar specializing in Poultry Science. With a focus on the nutritional and performance aspects of laying hens, his academic journey has seen him earn accolades such as Gold Medalist in MSc (Hons) Poultry Science. He is currently working as a Postdoctoral Fellow at Yangzhou University, China. Dr. Shuaib's research and commitment to advancing poultry science continue to leave a profound impact on the field.

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Education 🎓

Dr. Muhammad Shuaib is an accomplished researcher in poultry science with a strong academic background. He completed his Secondary School Certificate in 2007, followed by his Higher Secondary School Certificate (Pre-Medical) in 2010. He earned his DVM in 2016 and his MSc (Hons) in Poultry Science (Gold Medal) in 2018 from The University of Agriculture, Peshawar. Dr. Shuaib obtained his Ph.D. in Poultry Science in 2023 with outstanding results. Currently, he is a Postdoctoral Fellow at Yangzhou University, China, continuing his research in the field.

Experience 💼

Dr. Shuaib's expertise spans across various fields of Poultry Science. He has contributed to significant advancements through his research on poultry performance, nutrient digestibility, and egg quality, especially during peak production periods in laying hens. He also possesses teaching experience in both academic and practical applications of Poultry Science.

Research Interests 🔬

Soybean Hulls and its effect on poultry performance

Nutrient Digestibility in poultry

Egg Quality optimization in laying hens

Enzyme Supplementation (Beta-Mannanase) for improved poultry health

Sustainable and efficient feed strategies for poultry production

Awards 🏅

Gold Medal in MSc (Hons) Poultry Science

Numerous academic and research awards for excellence in research

Selected Publications 📚

"Exploring the Potential Effects of Soybean By-Product (Hulls) and Enzyme (Beta-Mannanase) on Laying Hens During Peak Production" - Animals, 2025, 15(1), 98.

"Effect of Chitosan and Gibberellic Acid on Fruit Yield and Production of Peach (Prunus persica L.)" - Polish Journal of Environmental Studies, 2024, 33(1), pp. 721–726.

"Ethnomedicinal Uses of Plants for Various Diseases in the Remote Areas of Changa Manga Forest, Pakistan" - Brazilian Journal of Biology, 2024, 84, e255916, 12 citations.

"Novel Medicinal Plants Uses for the Treatment of Respiratory Disorders - An Overview from Madyan Swat, Pakistan" - Ethnobotany Research and Applications, 2023, 26, 26.

Dr. Chun-yin Chen | Second Language Acquisition | Best Researcher Award

Published on 22/01/202522/01/2025 by Invention Awards

Dr. Chun-yin Chen | Second Language Acquisition | Best Researcher Award

National Taiwan Normal University, Taiwan.

Chun-Yin Doris Chen is a Distinguished Professor in the Department of English at National Taiwan Normal University. With over 30 years of teaching experience, she has specialized in linguistics and second language acquisition. She has contributed significantly to the field through her research and academic service, holding various prestigious awards and titles throughout her career. Her expertise includes Mandarin Chinese, second language acquisition (L2), and bilingual education.

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Education 🎓

Dr. Chun-Yin Chen earned his Bachelor of Arts (B.A.) in English from Tamkang University in Taiwan between 1983 and 1986. He then continued his studies in the United States, obtaining a Master of Arts (M.A.) in Linguistics from the University of Illinois at Urbana-Champaign from 1986 to 1988. Dr. Chen further advanced his academic career by completing a Ph.D. in Linguistics at the same institution between 1988 and 1991. These formative years equipped Dr. Chen with a strong foundation in linguistics, shaping his contributions to the field.

Experience 💼

Dr. Chun-Yin Chen's academic career has spanned several prestigious institutions. He began as an Associate Professor in the Division of Foreign Languages and Literatures at National Chung Hsing University in 1992. Later that year, he moved to National Taiwan Normal University (NTNU), where he served as an Associate Professor in the Department of English from 1992 to 2000. Dr. Chen was promoted to Professor at NTNU, where he continued his impactful work from 2000 to 2012. In 2013, he was appointed as a Distinguished Professor in the Department of English at NTNU, a position he currently holds, further solidifying his position as a leading figure in the field of linguistics and English studies.

Research Interests 🔍

Second Language Acquisition (SLA)

Dr. Chun-Yin Doris Chen’s research delves into the intricacies of second language acquisition, with a particular emphasis on Mandarin Chinese. She explores how learners acquire and process a second language, focusing on various stages and factors that influence language learning success.

Syntax and Semantics

Her work also covers the complexities of syntax and semantics in both first and second languages. She examines how sentence structure and meaning interact, particularly in the context of Mandarin Chinese, offering valuable insights into language processing and structure.

Cultural Differences and Language Learning

Dr. Chen investigates the crucial relationship between cultural differences and language learning, examining how cultural factors influence learners’ approach to language acquisition and affect their overall learning process.

Bilingual Education

Bilingual education is another key area of Dr. Chen’s research. She explores effective educational practices for bilingual learners and how they can best develop proficiency in multiple languages, particularly Mandarin Chinese and other languages.

Language Teaching Methodologies

Dr. Chen contributes to the field of language teaching methodologies by investigating effective ways to teach and learn languages, ensuring that teaching strategies align with the needs of second language learners.

Empirical Studies of Language Acquisition

In addition to theoretical exploration, Dr. Chen conducts empirical studies that provide data-driven insights into language acquisition, helping to refine and develop better approaches to language teaching and learning.

Selected Publications 📚

Lin, S-A., Y.T. Liu, & Chun-yin Doris Chen. (2024). "From rookies to referees: Unpacking the frontlines of novice and seasoned bilingual PE classrooms," Taiwan International ESP Journal.

Chen, Chun-yin Doris & Pin-Yu Ruby Lu. (2024). "Positivity Bias and Cultural Differences in Acquiring Haihao in Chinese as a Second Language," Languages, 9:379.

Wu, Pin-hua, Chun-yin Doris Chen, & Huei-ling Lai. (2024). "The effect of form-focused instruction on the learning of zhidao-type near-synonyms," Chinese as a Second Language Research, 13.2:239-268.

Chen, Li-wen Joy & Chun-yin Doris Chen. (2024). "The acquisition of de: Investigating recursive possession in Mandarin-speaking kids," Forum for Linguistic Studies, 6.3:761-776.

Prof. Dr. Antonio Rescifina | Chemistry | Best Researcher Award

Published on 22/01/202522/01/2025 by Invention Awards

Prof. Dr. Antonio Rescifina | Chemistry | Best Researcher Award

University of Catania, Italy.

Prof. Dr. Antonio Rescifina, born on December 23, 1964, in Messina, Italy, is a distinguished researcher and professor in Organic Chemistry. He currently serves as a Full Professor in the Department of Pharmaceutical Sciences at the University of Catania, where he has been a member of the faculty since 1996. His research focuses on the synthesis of organic compounds with applications in pharmaceuticals, environmental chemistry, and materials science.

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Education 🎓

Prof. Rescifina holds a degree in Chemistry and Pharmaceutical Technology from the University of Messina (1989), with honors. He later obtained another degree in Pharmacy (1991) and completed a Ph.D. in Chemical Sciences with a specialization in Organic Chemistry from the University of Catania (1995).

Experience 💼

Prof. Rescifina has had an extensive career in research and teaching. He worked as a researcher at the University of Catania and the University of Messina before becoming a professor. Over the years, he has contributed significantly to scientific advancements in organic chemistry, working on numerous projects funded by both national and international organizations. His roles have included being a scientific coordinator of various research projects.

Research Interests 🔬

Organic Chemistry and Pharmaceutical Applications
Dr. Yucra's work primarily focuses on the synthesis of novel chemical compounds for pharmaceutical and industrial applications. His research aims to create more efficient, cost-effective, and sustainable solutions to current challenges in these sectors.

Carbon Dioxide Decarbonization & Valorization
He is committed to developing innovative carbon dioxide decarbonization and valorization processes, which aim to transform CO₂ from a harmful greenhouse gas into valuable industrial products, contributing to environmental sustainability.

Green Chemistry
Dr. Yucra emphasizes green chemistry principles, working on solutions that minimize environmental impact, enhance energy efficiency, and reduce the use of toxic chemicals, all while maintaining effective chemical processes.

Pharmaceutical Nanostructures
In his work on pharmaceutical nanostructures, he explores the development of nanoscale materials that can be used for targeted drug delivery, improving the effectiveness of treatments while reducing side effects.

Supramolecular Catalysis
His interest in supramolecular catalysis focuses on creating catalysts that work through non-covalent interactions, leading to more efficient and selective chemical reactions, with potential applications in pharmaceuticals and green chemistry.

Sustainable Chemistry Materials
Finally, Dr. Yucra is involved in the design and development of innovative materials for sustainable chemistry, aiming to create alternatives to traditional chemical processes that are more sustainable, eco-friendly, and economically viable.

Awards 🏆

Prof. Rescifina's work has earned him national recognition, including the prestigious Abilitazione Scientifica Nazionale (National Scientific Qualification) for Full Professor in 2018.

His research contributions have been acknowledged in various funded projects and prestigious conferences.

Selected Publications 📚

Designing a Monolithic Photo-Fenton Catalyst Using a Fungal Hydroxypyrone Metabolic Derivative
Materials Today Chemistry
March 2025 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Valentina Giglio, Chiara Zagni, Sabrina Carola Carroccio, Vincenzo Paratore, Guglielmo Guido Condorelli, Giuseppe Floresta, Sandro Dattilo, Antonio Rescifina.

Efficient Green Solvent-Free CO2/Epoxide Cycloaddition Catalyzed by a β-Cyclodextrin-Imidazolium-Based Ionic Liquid
Journal of Industrial and Engineering Chemistry
March 2025 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Chiara Zagni, Rita Turnaturi, Sandro Dattilo, Vincenzo Patamia, Giuseppe Floresta, Sabrina Carola Carroccio, Tommaso Mecca, Antonio Rescifina.

A Full Carbon-Based Thermoplastic Photocatalyst for Organic Pollutants Abatement: An Experimental and Computational Study
FlatChem
January 2025 | Journal article
Contributors: Lidia Mezzina, Angelo Nicosia, Vincenzo Patamia, Antonio Rescifina, Luisa D’Urso, Vincenzo Paratore, Placido Giuseppe Mineo.

Enhancing HDAC Inhibitor Screening: Addressing Zinc Parameterization and Ligand Protonation in Docking Studies
International Journal of Molecular Sciences
January 20, 2025 | Journal article
Contributors: Rocco Buccheri, Alessandro Coco, Lorella Pasquinucci, Emanuele Amata, Agostino Marrazzo, Antonio Rescifina.

Bio-Based Palladium Catalyst in Cryogel for Cross-Coupling Reactions
Materials Chemistry Frontiers
2024 | Journal article
Contributors: Elisabetta Grazia Tomarchio, Chiara Zagni, Vincenzo Paratore, Guglielmo Guido Condorelli, Sabrina Carola Carroccio, Antonio Rescifina.

Dr. Panupong Hansrivijit | Nephrology | Best Researcher Award

Published on 22/01/202522/01/2025 by Invention Awards

Dr. Panupong Hansrivijit | Nephrology | Best Researcher Award

Brigham and Women's Hospital, United States.

Dr. Panupong (Ben) Hansrivijit, MD, is a dedicated nephrology fellow at Brigham and Women’s Hospital/Massachusetts General Hospital, Boston, MA. With a stellar academic background, including an MD with first-class honors from Chulalongkorn University, Dr. Hansrivijit focuses on advancing care for kidney-related conditions. His clinical expertise spans chronic kidney disease, dialysis, and kidney transplantation, alongside a robust research portfolio in nephrology and public health.

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🎓 Education

Dr. Panupong Hansrivijit is a nephrology fellow at Brigham and Women’s Hospital/Massachusetts General Hospital (2022–2026) and a Master of Public Health candidate at Harvard T.H. Chan School of Public Health (2023–2025). He completed his Internal Medicine Residency at UPMC Harrisburg (2019–2022) and earned his MD with First Class Honors from Chulalongkorn University, Thailand (2016). Dr. Hansrivijit is committed to advancing nephrology and public health through patient care and research.

🏥 Experience

Dr. Panupong Hansrivijit is a dedicated nephrology fellow at Brigham and Women’s Hospital/Massachusetts General Hospital (2022–2026), specializing in kidney care, dialysis, and transplant evaluations. He previously honed his clinical and research expertise during his Internal Medicine Residency at UPMC Harrisburg (2019–2022) and built a strong foundation in patient care as an Internal Medicine Intern at Thammasat University Hospital (2016–2019). Dr. Hansrivijit is passionate about advancing nephrology through clinical excellence and research innovation.

🔬 Research Interests

Chronic kidney disease

Dialysis and dialysis access

Kidney transplantation

Acute kidney injury

Nephrotic syndrome

Hypertension

Pharmaco-epidemiology

🏆 Awards

American Board of Internal Medicine Certification (2022–2032)

Medical License (Massachusetts, 2022–2025)

📚 Selected Publications

Utilization Trends of Tirzepatide, Glucose-Lowering Medications, and Anti-Obesity Medications in Patients with CKD with and without Type 2 Diabetes: SA-PO327
Journal of the American Society of Nephrology, 35 (10S), 10.1681, 2024
Co-authored with J. Ortega-Montiel, D.J. Wexler, E. Patorno, and J.M. Paik, this study explores medication trends in patients with chronic kidney disease (CKD) and type 2 diabetes.

1403-P: Prescribing Trends of Glucose-Lowering Medications among Adult Kidney Transplant Recipients with Type 2 Diabetes—A US Population-Based Cohort Study
Diabetes, 73 (Supplement_1), 2024
In this population-based study, Dr. Hansrivijit, along with collaborators E. Patorno, D.J. Wexler, R. Abdi, and J.M. Paik, examines trends in glucose-lowering medication prescriptions among kidney transplant recipients.

Improvement of Calcinosis Cutis With Sodium Thiosulfate Infusion in a Peritoneal Dialysis Patient: SA-PO338
Journal of the American Society of Nephrology, 33 (11S), 697-698, 2022
A study co-authored with V.S. Iyer, highlighting the therapeutic effect of sodium thiosulfate in treating calcinosis cutis in a peritoneal dialysis patient.

Re: Incidence and Characteristics of Kidney Stones in Patients on Ketogenic Diet: A Systematic Review and Meta-Analysis
Journal of Urology, 207 (2), 462-463, 2022
Dr. Hansrivijit contributed to a meta-analysis investigating kidney stone incidences in patients following a ketogenic diet.

Hyperuricemia is Associated With Increased Mortality in Heart Failure Patients With Preserved Ejection Fraction: A Systematic Review and Meta-Analysis
This study investigates the link between hyperuricemia and mortality risk in heart failure patients with preserved ejection fraction.

Assist. Prof. Dr. Dohyung Kim | Solar Cells | Best Researcher Award

Published on 20/01/202520/01/2025 by Invention Awards

Assist. Prof. Dr. Dohyung Kim | Solar Cells | Best Researcher Award

Chungbuk National University, South Korea.

Dohyung Kim is an Assistant Professor in the Department of Advanced Materials Engineering at Chungbuk National University, South Korea. With a rich academic and professional background, he specializes in materials science and engineering, focusing on the development of advanced materials for energy applications, particularly perovskite solar cells. His extensive research contributions include numerous high-impact publications and collaborations with global research institutions.

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Education 🎓

Dr. Dohyung Kim is an accomplished materials scientist with a strong academic foundation in Materials Science and Engineering. He earned his PhD from the University of New South Wales, Sydney, Australia (2015–2019), where he focused on advancing innovative materials and technologies. Prior to this, he completed his Master of Engineering in Materials Science and Engineering at Korea University, Seoul, Korea (2011–2013), where he developed expertise in material characterization and design. Dr. Kim began his academic journey at the Seoul National University of Science and Technology, Seoul, Korea, earning his Bachelor of Engineering in Materials Science and Engineering (2005–2011). His educational background reflects a comprehensive understanding of materials science, from fundamental principles to cutting-edge research.

Professional Experience 🏢

Dr. Dohyung Kim has built a distinguished career in academia and research, holding key positions in prestigious institutions. Since March 2024, he has served as an Assistant Professor at Chungbuk National University, Cheongju, Korea, where he focuses on advancing materials science through teaching and research.

Prior to his current role, Dr. Kim was a Senior Researcher at the Korea Institute of Energy Research (KIER), Daejeon, Korea (June 2022 – February 2024), where he contributed to innovative solutions in energy materials. His international research experience includes serving as a Postdoctoral Appointee at Argonne National Laboratory, Lemont, IL, USA (June 2021 – June 2022), and as a Postdoctoral Research Associate in a joint program between the University of Tennessee, Knoxville, USA, and Oak Ridge National Laboratory (ORNL) (August 2019 – June 2021).

Dr. Kim’s career began with hands-on experience as an Intern Scientist and Research Trainee at the Korea Institute of Science and Technology (KIST), Seoul, Korea, where he honed his skills in cutting-edge materials research. His diverse background reflects a commitment to addressing global challenges through materials science and engineering.

Research Interests 🔬

Dohyung's research focuses on:

Advanced materials for renewable energy technologies

Perovskite solar cells and their stability

Machine learning applications in materials science

Nano-engineering and interface optimization for photovoltaic devices

Awards & Honors 🏆

Excellent Department Award (2023)
Photovoltaic Research Department, KIER

AFORE 2023 Best Poster Award
The Korean Society for New and Renewable Energy

Energy Grand Prize (2022)
Photovoltaic Research Department, KIER

Dean’s Award (2019)
High-quality PhD thesis, Top 10%

Publications 📚

Advances in Single-Crystal Perovskite Solar Cells: From Materials to Performance
Authors: Tsvetkov, N., Koo, D., Kim, D., Park, H., Min, H.
Journal: Nano Energy (2024), Vol. 130, Article 110069
Citation: 1
This work explores breakthroughs in single-crystal perovskite solar cells, focusing on their material properties and performance enhancements.

Highly Efficient Wide Bandgap Perovskite Solar Cells With Tunneling Junction by Self-Assembled 2D Dielectric Layer
Authors: Lee, M., Lim, J., Choi, E., Hao, X., Yun, J.S.
Journal: Advanced Materials (2024), Vol. 36, Issue 41, Article 2402053
Citation: 1
This study demonstrates wide-bandgap perovskite solar cells incorporating self-assembled 2D dielectric layers for improved efficiency.

Efficient and Stable CsPbI3 Perovskite Solar Cells With Spontaneously Formed 2D-Cs2PbI2Cl2 at the Buried Interface
Authors: Shah, S.-F.-A., Jeong, I., Park, J., Kim, K., Min, H.
Journal: Cell Reports Physical Science (2024), Vol. 5, Issue 5, Article 101935
Citation: 2
This research highlights stable CsPbI3 perovskite solar cells facilitated by the formation of a 2D-Cs2PbI2Cl2 layer at the interface.

Charge Carrier Transport Properties of Twin Domains in Halide Perovskites
Authors: Kim, D., Yun, J.S., Sagotra, A., Cazorla, C., Seidel, J.
Journal: Journal of Materials Chemistry A (2023), Vol. 11, Issue 31, pp. 16743–16754
Citation: 2
The article investigates the charge carrier transport mechanisms in twin domains of halide perovskites, contributing to a deeper understanding of their electronic properties.

Optimal Solar Cell Sorting Method for High Module Production Reliability
Authors: Kim, Y.-J., Kim, M., Cho, Y., Song, H.-E., Park, S.
Conference: AIP Advances (2023), Vol. 13, Issue 6, Article 065323
This conference paper discusses an optimized solar cell sorting method to ensure reliability and efficiency in module production.

Dr. Abdullah Bindawas | Business | Best Researcher Award

Published on 20/01/202520/01/2025 by Invention Awards

Dr. Abdullah Bindawas | Business | Best Researcher Award

King Khalid University, Saudi Arabia.

Abdullah Mobarak Bindawas is a distinguished academic and researcher from Saudi Arabia, currently serving as an Assistant Professor in the Department of Business Administration at King Khalid University, Abha. With extensive experience in academia and the banking sector, his expertise spans business administration, employability skills, and economic studies. He is an active member of numerous academic societies, contributing significantly to the field of business and management.

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Education 🎓

Abdullah Mobarak Bindawas has an impressive educational background, which has shaped his expertise in business and management. He completed his PhD in Business and Management Studies in March 2023 at the University of Dundee, School of Business, located in Dundee City, UK. His doctoral research focused on the employability skills of business graduates in Saudi Arabia, contributing to the development of effective business education policies.

In May 2009, he earned his MBA from the Meinders School of Business at Oklahoma City University, USA. This advanced degree equipped him with a solid foundation in business administration, further enhancing his professional development in the field.

He holds a Bachelor of Business Administration from King Khalid University in Abha, Saudi Arabia, which he completed in June 2005. His undergraduate education provided him with the essential skills in business management, setting the stage for his subsequent career in academia and the banking sector.

Experience 💼

Abdullah Mobarak Bindawas is currently an Assistant Professor at King Khalid University (March 2023–Present), where he teaches business administration and conducts research. He previously worked as a Teaching Assistant at the University of Dundee (2018–2019) and a Lecturer at King Khalid University (2016–2017), focusing on business and management subjects. Abdullah also has extensive banking experience, having served as Section Head of Banking Irregularities (2013–2016) and Banking Examiner (2009–2013) at the Saudi Arabia Monetary Agency (SAMA).

Research Interests 🔬

Employability skills of business students

Economic studies related to tourism

Sustainability in business management

Curriculum development for business administration

Awards and Recognitions 🏆

Member, British Academy of Management (BAM), since 2019

Chairman of various academic and administrative committees at King Khalid University

Publications 📚

Bindawas, A. (2019). The Employability Skills of Business Students in Saudi Arabia: Do Policy Makers and Employers Speak the Same Language?
British Academy of Management (BAM) Conference, Aston University, UK.

Bindawas, A. (2023). Key Stakeholder Perspectives on the Employability Skills of Business Graduates in Saudi Arabia: A Qualitative Study.
Doctoral Dissertation, University of Dundee.

Prof. Dr. Qiuju Wang | Poultry Microbiology | Best Researcher Award

Published on 20/01/202520/01/2025 by Invention Awards

Prof. Dr. Qiuju Wang | Poultry Microbiology | Best Researcher Award

College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, China.

Prof. Dr. Qiuju Wang is a distinguished professor at the College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University. With expertise in animal nutrition and microecological regulation, her research has profoundly impacted poultry health and production performance. A recipient of multiple accolades, she has pioneered studies on gut microbiota and its physiological effects on poultry. Dr. Wang has also collaborated internationally, furthering advancements in her field. She actively contributes to academia through publications, patents, and innovation.

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🎓 Education

Prof. Dr. Qiuju Wang holds a Ph.D. in Animal Nutrition and Feed Science from Heilongjiang Bayi Agricultural University (2006–2010), where she specialized in advancing livestock nutrition and ecological practices. As part of her academic journey, she participated in a prestigious Joint Ph.D. Program in Animal and Poultry Nutrition at the Ontario College of Agriculture, University of Guelph, Canada (2008–2009), where she honed her expertise in poultry nutrition and gut microbiota. Further enhancing her global academic profile, she served as a Visiting Scholar at the College of Veterinary and Diagnosis, Cornell University, USA (2016–2017), focusing on cutting-edge diagnostic methods and ecological regulation in animal health.

🏢 Experience

Prof. Dr. Qiuju Wang serves as a distinguished Professor at Heilongjiang Bayi Agricultural University, where she leads impactful research in poultry gut health, microecological regulation, and nutrition optimization. Her expertise has driven advancements in improving livestock productivity and health through sustainable and ecological approaches. Prof. Wang has also fostered international collaboration with renowned institutions, including Cornell University and the University of Guelph, enriching her research with global insights and multidisciplinary perspectives. Her leadership continues to shape innovative solutions for challenges in animal science and veterinary medicine.

🔬 Research Interests

Nutrition and microecological regulation of poultry

Gut microbiota analysis and its effects on immunity, physiology, and nutritional metabolism

Utilization of microbial diversity, metagenomics, and transcriptomics for enhanced poultry performance

Development of sustainable ecological methods for poultry health

🏆 Awards and Recognitions

Third Prize, Scientific and Technological Progress of Heilongjiang Province

Second and Third Prize (Participant), Scientific and Technological Progress of Heilongjiang Province

📚 Publications Top Notes

Isolation and Characterization of Two Strains of Goose-Derived Probiotics and Their Effect on Goslings
Zhao, Y., Wang, Q., Meng, L., Yu, W., Leng, X.
Chinese Journal of Animal Nutrition, 2024, 36(11): 7409–7421.
Abstract: This study identifies and evaluates two probiotic strains derived from geese, analyzing their role in uric acid metabolism in goslings.

Effects of Clostridium butyricum on Protein Synthesis of Rumen Explants in Dairy Cows
Sun, S., Wang, Q., Wan, B., Wang, J., Zhao, Y.
Chinese Journal of Animal Nutrition, 2024, 36(9): 5709–5721.
Abstract: Research on Clostridium butyricum reveals its potential to enhance protein synthesis in rumen explants of dairy cows.

Comprehensive Analysis of the Differential Expression of mRNAs, lncRNAs, and miRNAs in Zi Goose Testis with High and Low Sperm Mobility
Hao, H., Ren, X., Ma, Z., Wang, Q., Liu, S.
Poultry Science, 2024, 103(8), Article 103895.
Abstract: The study highlights transcriptomic differences in Zi goose testis influencing sperm mobility, emphasizing mRNA, lncRNA, and miRNA interactions.
Cited by: 3 articles.

Effects of Dietary Artemisia annua Supplementation on Growth Performance, Antioxidant Capacity, Immune Function, and Gut Microbiota of Geese
Cui, Y., Leng, X., Zhao, Y., Zhao, Y., Wang, Q.
Poultry Science, 2024, 103(5), Article 103594.
Abstract: Explores how Artemisia annua in diets affects growth, immunity, antioxidant properties, and gut microbiota in geese.
Cited by: 5 articles.

Integrated Meta-Omics Analyses Reveal a Role of Ruminal Microorganisms in Ketone Body Accumulation and Ketosis in Lactating Dairy Cows
Wang, Q., Cui, Y., Indugu, N., Deng, Z., Xu, C.
Journal of Dairy Science, 2022, 106, 4906–4917.

Prof. Dr. Saleh Albahli | Artificial Intelligence | Best Researcher Award

Published on 18/01/202518/01/2025 by Invention Awards

Prof. Dr. Saleh Albahli | Artificial Intelligence | Best Researcher Award

Qassim University, Saudi Arabia.

Dr. Saleh Albahli is a highly accomplished academic and researcher specializing in Digital Transformation, Data Science, and Artificial Intelligence. Currently an Associate Professor and Vice-Dean of Information Technology Deanship at Qassim University, he is known for spearheading transformative digital initiatives, leading enterprise architecture projects, and contributing to cutting-edge research in machine learning and deep learning. His work is globally recognized, ranking him among the top 2% of scientists in AI research worldwide.

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🎓 Education

Dr. Saleh Albahli holds a Ph.D. in Computer Science with distinction from Kent State University, USA (2016), showcasing his expertise in advanced computational methodologies and research excellence. He earned a Master’s degree in Information Technology with distinction from The University of Newcastle, Australia (2010), highlighting his dedication to mastering cutting-edge IT solutions. His academic journey began with a Bachelor’s degree in Computer Science from King Saud University, Saudi Arabia (2004), laying a strong foundation for his accomplished career in technology and innovation.

💼 Experience

Dr. Saleh Albahli has built an illustrious career, currently serving as an Associate Professor in the Department of IT at Qassim University since 2020, where he contributes to advancing education and research. Concurrently, he holds dual leadership roles as Vice-Dean of IT Deanship and Director of Enterprise Architecture & Digital Transformation at Qassim University, spearheading transformative initiatives to enhance technological frameworks and drive digital innovation.

Previously, Dr. Albahli gained international experience as a Senior System Analyst at Cleveland Clinic, USA (2015–2016), where he developed cutting-edge systems to optimize healthcare operations. He also served as a Lecturer at Kent State University, USA (2015–2016), imparting knowledge and fostering academic growth. Earlier in his career, he worked as an Oracle Developer and Apps DBA at Riyadh Bank and Integrated Telecom Company in Saudi Arabia (2005–2007), honing his technical expertise in database systems and enterprise applications.

🔬 Research Interests

Digital Transformation and its integration with enterprise architecture

Machine Learning and Deep Learning Pipelines

Big Data Analytics, Data Governance, and Predictive Analytics

Artificial Intelligence Applications in healthcare and business

Process Optimization in technology-driven environments

🏆 Awards & Recognitions

Ranked among the top 2% of scientists globally in AI research (2022)

First Place in Digital Transformation (Qiyas) – Qassim University (2022, 2023)

ISO certifications in 22301, 20000, and 27001 for excellence in IT management

📚 Selected Publications

Efficient Hyperparameter Tuning for Predicting Student Performance with Bayesian Optimization
Albahli, S.
Multimedia Tools and Applications, 2024, 83(17), pp. 52711–52735.
This study introduces a Bayesian optimization approach to enhance hyperparameter tuning for predictive models in educational datasets, achieving improved accuracy and efficiency. (Citations: 4)

MedNet: Medical Deepfakes Detection Using an Improved Deep Learning Approach
Albahli, S., Nawaz, M.
Multimedia Tools and Applications, 2024, 83(16), pp. 48357–48375.
This paper presents MedNet, a novel deep learning framework tailored to detect medical deepfakes, ensuring the integrity of critical healthcare data. (Citations: 4)

Opinion Mining for Stock Trend Prediction Using Deep Learning
Albahli, S., Nazir, T.
Multimedia Tools and Applications, 2024.
Leveraging deep learning techniques, this research focuses on sentiment analysis to predict stock trends, demonstrating robust performance metrics. (Citations: 0)

An Improved DenseNet Model for Prediction of Stock Market Using Stock Technical Indicators
Albahli, S., Nazir, T., Nawaz, M., Irtaza, A.
Expert Systems with Applications, 2023, 232, 120903.
This work proposes enhancements to DenseNet architectures for stock market predictions based on technical indicators, achieving notable predictive accuracy. (Citations: 10)

A Circular Box-Based Deep Learning Model for the Identification of Signet Ring Cells from Histopathological Images
Albahli, S., Nazir, T.
Bioengineering, 2023, 10(10), 1147.
This open-access study develops a circular box-based deep learning model for the accurate detection of signet ring cells in histopathological images, aiding cancer diagnosis.

Mrs. Golshid Ranjbaran | Artificial Intelligence | Best Researcher Award

Published on 18/01/202518/01/2025 by Invention Awards

Mrs. Golshid Ranjbaran | Artificial Intelligence | Best Researcher Award

University of Saskatchewan, Canada.

Golshid Ranjbaran is a PhD Candidate in Computer Science at the University of Saskatchewan (USASK), specializing in Artificial Intelligence, Machine Learning, and Interpretability. With a Bachelor's degree in Software Engineering and a Master's in Artificial Intelligence from the Science and Research Branch in Iran, he has accumulated several awards, including the Best Paper Award at the IKT Conference in 2021 and Best Researcher at ITRC in 2022. Golshid's research is aimed at advancing AI methodologies and improving machine learning models for real-world applications. He was also a research associate at the Data Science & Big Data Lab in Seville, Spain, in 2023. 🌐

Profile

Google Scholar

Education 🎓

Golshid holds a Bachelor's degree in Software Engineering and a Master's degree in Artificial Intelligence from the Science and Research Branch in Iran. He is currently pursuing a Ph.D. in Computer Science at the University of Saskatchewan (USASK), Canada, where he focuses on AI, machine learning, and interpretability, aiming to bridge the gap between theoretical advancements and practical applications.

Experience 🏢

Golshid has been awarded several prestigious positions and accolades, including a research position at the Data Science & Big Data Lab in Seville, Spain (2023), and was recognized as the Best Researcher at ITRC (2022). He has also contributed to various consultancy projects and industry collaborations, such as working on AI systems at ITRC, smart meters algorithms, and data governance in Iran.

Research Interests 🔍

Enhancing model interpretability through methods like SHAP.

Exploring sentiment analysis for stock market prediction.

Developing augmented techniques for unbalanced tasks in the financial domain.

Improving network security through Moving Target Defense technology.

Investigating Federated Learning for wearable health devices and ontology-based text summarization for efficient information processing.

Awards 🏆

Best Paper Award at the IKT Conference (2021)

Best Researcher Award at the Iran Telecommunication Research Center (ITRC) (2022)

Research Position at the Data Science & Big Data Lab in Seville, Spain (2023)

Nomination for the Gala GSA Award at the University of Saskatchewan (2025).

Selected Publications 📚

C-SHAP: A Hybrid Method for Fast and Efficient Interpretability – Applied Sciences (Q2 Journal), Published 2025.

Leveraging Augmentation Techniques for Tasks with Unbalancedness within the Financial Domain – EPJ Data Science (Q1 Journal), Published 2023.

Investigating Sentiment Analysis of News in Stock Market Prediction – International Journal of Information and Communication Technology Research, Published 2024.

Unsupervised Learning Ontology-Based Text Summarization Approach with Cellular Learning Automata – Journal of Theoretical and Applied Information Technology, Published 2023.

Analyzing the Effect of News Polarity on Stock Market Prediction – Proceedings of the 12th International Conference on Information and Knowledge Technology (IKT), Published 2021.