Dr. Stela Dragomanova | Neuroscience | Best Researcher Award

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Dr. Stela Dragomanova| Neuroscience | Best Researcher Award

Dr. Stela Dragomanova, Medical University of Varna, Bulgaria

Dr. Stela Dragomanova is a distinguished researcher and educator at the Medical University of Varna. She earned her master’s degree in Pharmacy from the Medical University of Sofia in 2004 and later specialized in Clinical Pharmacy. In 2020, she completed her Ph.D. in Pharmacology at the Institute of Neurobiology, Bulgarian Academy of Sciences. Dr. Dragomanova’s research centers on neuropharmacology, particularly neurodegenerative diseases. She is a member of the Bulgarian Pharmaceutical Union and serves as Chairlady of the Ethics Committee for the Regional Pharmaceutical Collegium in Varna. Dr. Dragomanova has published 30+ peer-reviewed papers, contributing significantly to pharmacology and neuroscience. She has also served as Assistant Professor from 2010 to 2021 and is currently Chief Assistant Professor in the Department of Pharmacology at the Medical University of Varna.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Dr. Stela Dragomanova demonstrates a strong profile as a candidate for the Research for Best Researcher Award. With a Ph.D. in Pharmacology and a focus on neuropharmacology, her research is centered around neurodegenerative diseases, a critical area of biomedical research. Her expertise in in vivo preclinical models and behavioral tests positions her as a valuable contributor to the scientific community, particularly in neuropharmacology and toxicology.Her academic career includes over a decade of teaching and research at the Medical University of Varna, Bulgaria, where she has steadily advanced from Assistant Professor to Chief Assistant Professor. Dr. Dragomanova has also made substantial contributions to the scientific literature, with 30+ publications, including articles in high-impact journals such as Antioxidants and Molecules, with topics addressing neuroprotective strategies and experimental pharmacology.

🎓 Education 

Dr. Stela Dragomanova began her academic journey at the Medical University of Sofia, where she obtained her master’s degree in Pharmacy in 2004. She further specialized in Clinical Pharmacy, enhancing her expertise in pharmacological interventions. Driven by her passion for neuropharmacology, Dr. Dragomanova pursued her Ph.D. in Pharmacology at the Bulgarian Academy of Sciences’ Institute of Neurobiology, completing it in 2020. Her doctoral research provided significant insights into neurodegenerative diseases and related pharmacotherapies. With a strong foundation in experimental pharmacology and toxicology, Dr. Dragomanova is equipped with advanced skills in preclinical in vivo models and behavioral testing. Her academic qualifications, coupled with her research experience, reflect her commitment to advancing knowledge in the pharmaceutical and neuropharmacological fields.

💼 Experience 

Dr. Stela Dragomanova has been an integral part of the Medical University of Varna since 2010, starting as an Assistant Professor in the Department of Pharmacology, Toxicology, and Pharmacotherapy. She transitioned into the role of Chief Assistant Professor in 2021, where she continues to lead and mentor young scientists in neuropharmacology. In her academic career, she has overseen numerous research projects focusing on neurodegenerative disorders, particularly in exploring neuroprotective agents and pharmacological treatments. She has extensive expertise in in vivo preclinical models and behavioral testing in experimental pharmacology. Dr. Dragomanova is also deeply involved in regulatory and ethical aspects of pharmacology research, serving as the Chairlady of the Ethics Committee for the Regional Pharmaceutical Collegium in Varna and being an active member of several scientific and pharmaceutical associations.

🏅Awards and Honors 

Dr. Stela Dragomanova has been recognized for her outstanding contributions to the field of pharmacology and her dedication to healthcare and education. In 2018, she was named “Pharmacist of the Year” for the Varna region by the Regional Pharmaceutical Collegium. This prestigious award highlights her commitment to the pharmaceutical profession and the positive impact of her work in the healthcare sector. In addition to her regional recognition, Dr. Dragomanova is an esteemed member of the Bulgarian Pharmaceutical Union, which is part of the Pharmaceutical Group of the European Union (PGEU). She also holds leadership roles in several academic and professional organizations, including the Bulgarian Association of Pharmacology, Clinical Pharmacology, and Therapeutics. Her extensive experience in both research and education further solidifies her as a prominent figure in the pharmacological sciences.

🌍 Research Focus 

Dr. Stela Dragomanova’s research is primarily focused on neuropharmacology, particularly in understanding the mechanisms underlying neurodegenerative diseases. Her work aims to discover potential therapeutic agents that can mitigate the progression of disorders such as Alzheimer’s and Parkinson’s disease. She has developed expertise in using in vivo preclinical models to evaluate neuroprotective compounds and conduct behavioral tests. Her research explores the role of antioxidants and polyphenols, studying their neuroprotective effects and potential applications in pharmacotherapy. Additionally, Dr. Dragomanova is interested in the therapeutic potential of lipid emulsions in treating convulsions and other toxicological conditions. Her investigations have led to a deeper understanding of the molecular and biochemical processes that drive neurodegeneration, with a strong focus on developing novel interventions for these challenging medical conditions.

📖 Publications Top Notes

  • Intravenous Lipid Emulsions in Anticonvulsants’ Toxicity
  • Trehalose: Neuroprotective Effects and Mechanisms—An Updated Review
  • Intravenous Lipid Emulsions in Anticonvulsants’ Toxicity
  • Neuropharmacological investigation of myrtenal conjugates with aminoadamantane
  • Emerging Therapeutic Potential of Polyphenols from Geranium sanguineum L. in Viral Infections, Including SARS-CoV-2

 

Dr. Abdallah Abusam | Mathematical Modeling | Excellence in Research

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Dr. Abdallah Abusam | Mathematical Modeling | Excellence in Research

Dr. Abdallah Abusam, Kuwait Institute for Scientific Research, Kuwait

Abdallah Abusam is a Dutch environmental engineer and research scientist at the Kuwait Institute for Scientific Research (KISR). With a career spanning over 30 years, Dr. Abusam has made substantial contributions in environmental management, water and wastewater treatment, and modeling of environmental systems. He earned his Ph.D. in Environmental Engineering from Wageningen University, Netherlands, in 2001 and has since worked across various international research and academic institutions. His leadership roles include managing the Wastewater Program at KISR and conducting research on sustainable water reuse technologies. Dr. Abusam has published numerous technical reports and book chapters, showcasing his expertise in wastewater management and environmental biotechnology. A fluent speaker of Arabic, English, and Dutch, he has played an active role in guiding research projects that address environmental challenges and provide practical solutions for water resource management in the Middle East.

Professional Profile

scopus

Evaluation of Dr. Abdallah Abusam for the Research for Excellence in Research Award

Summary of Suitability for Award:

Dr. Abdallah Abusam is highly suitable for the Research for Excellence in Research Award, given his extensive experience in environmental engineering and his significant contributions to water and wastewater treatment. With a Ph.D. in Environmental Engineering from Wageningen University, Dr. Abusam has worked in academia and research institutions worldwide, including the Kuwait Institute for Scientific Research (KISR), where he currently holds a senior research scientist position.

🎓 Education 

Dr. Abdallah Abusam’s academic journey is rooted in civil and environmental engineering, beginning with his B.Sc. in Civil Engineering (Hons) from the University of Khartoum, Sudan, in 1982. He furthered his education with an M.Sc. in Sanitary Engineering from the same institution in 1986. Dr. Abusam continued his studies abroad, earning a Master of Public Health (MPH) in Environmental and Occupational Health Sciences from the University of Illinois at Chicago (UIC) in 1990. He culminated his academic pursuits with a Ph.D. in Environmental Engineering from Wageningen University, Netherlands, in 2001. His educational background reflects a deep commitment to understanding the complexities of environmental systems, water treatment, and public health, laying the foundation for his future research in environmental management, wastewater treatment, and sustainable water reuse technologies.

💼 Experience 

Dr. Abdallah Abusam’s career has spanned various international institutions, reflecting his extensive experience in environmental engineering and research. Since 2016, he has served as a Research Scientist (Professor) at the Kuwait Institute for Scientific Research (KISR), where he leads research in water and wastewater treatment. Between 2010 and 2015, he managed the Wastewater Program at KISR, and before that, he was an Associate Research Scientist (2005-2010). Earlier in his career, Dr. Abusam held academic positions at Al-Tahadi University in Libya and the International Islamic University Malaysia (IIUM), teaching courses on environmental engineering. He also worked as a Scientific Researcher at Wageningen University, contributing to the Lettinga Associate Foundation’s research on anaerobic treatment systems. His work as a Sanitary Engineer in Sudan (1982-1993) marked the beginning of his lifelong dedication to environmental sustainability and clean water management.

 🏅Awards and Honors 

Throughout his career, Dr. Abdallah Abusam has received recognition for his contributions to environmental research and engineering. His work on wastewater treatment technologies and sustainable water management has earned accolades within the scientific community. Notably, Dr. Abusam has been acknowledged for his role in advancing wastewater treatment solutions that are vital for water-scarce regions. At the Kuwait Institute for Scientific Research (KISR), his leadership in the Wastewater Program earned him praise for driving impactful research projects aimed at tackling local environmental challenges. Additionally, his academic contributions at institutions like Wageningen University and the International Islamic University Malaysia have been recognized through teaching and research awards. Dr. Abusam’s publications, which include technical reports and book chapters on environmental systems, also stand as a testament to his professional excellence and commitment to advancing the field of environmental engineering.

🌍 Research Focus 

Dr. Abdallah Abusam’s research is centered on the modeling and simulation of environmental systems, particularly focusing on water and wastewater treatment technologies. His work explores innovative solutions for wastewater reuse, environmental management, and the removal of contaminants such as endocrine-disrupting chemicals. Dr. Abusam is particularly invested in sustainable wastewater treatment approaches tailored for arid and water-scarce regions, aiming to provide clean water for agriculture and industrial use. He has led numerous research projects at the Kuwait Institute for Scientific Research (KISR), addressing issues such as sludge management, greywater treatment, and industrial wastewater characterization. His contributions to environmental biotechnology also involve developing advanced processes for treating petrochemical wastewater and odor compounds in hospital effluents. Dr. Abusam’s research continues to bridge the gap between environmental science and practical applications, with a particular emphasis on sustainable development and environmental protection.

 📖 Publication Top Notes

Effect of electron beam irradiation on estrogens removal from treated wastewater
Performance Evaluation of Commercial Package Systems Used in Kuwait for on-Site Treatment and Reuse of Domestic Wastewater
Fate of estrogens in Kuwaiti municipal wastewater treatment plants
Database for total petroleum hydrocarbon in industrial wastewater generated at Sabhan area in Kuwait
Dynamics of COVID-19 in the Gulf Cooperation Council (GCC) countries

Mr.Danish Javed | Data Science | Best Researcher Award

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Mr.Danish Javed | Data Science | Best Researcher Award

Mr.Danish Javed, Taylor’s University Lakeside Campus, Malaysia

Danish Khan is a Ph.D. scholar specializing in Data Science at Taylor’s University, Malaysia, where he is advancing research in natural language processing (NLP). With a strong academic background in Software Engineering from Bahria University, Islamabad, Danish has built expertise in Python, machine learning, and deep learning. He has held teaching roles as a Senior Lecturer at the University of Central Punjab, Lahore, and is currently a tutor at Taylor’s University, Malaysia. His career reflects a commitment to advancing computer science education, mentoring students, and leading post-graduate councils. Danish is also a prolific researcher, contributing to various data science and sentiment analysis projects, particularly in the analysis of social media content and NLP.

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

Danish Javed presents a strong candidacy for the Research for Best Researcher Award based on his significant academic and research contributions, particularly in the fields of data science, machine learning, and natural language processing (NLP). His ongoing PhD in Data Science from Taylor’s University demonstrates his deep commitment to advancing research, especially in topics like sentiment analysis, deep learning, and Twitter bot detection. Danish has published research in Scopus-indexed conferences and Q1/Q4 journals, which highlights the academic impact of his work.

🎓 Education 

Danish Khan has consistently pursued excellence in academia, currently working toward his Ph.D. in Data Science at Taylor’s University, Lakeside Campus, Malaysia. His doctoral research focuses on natural language processing (NLP), specifically exploring frameworks for sentiment analysis, bot detection, and text analytics. Prior to his Ph.D., Danish earned his M.S. in Software Engineering from Bahria University, Islamabad, Pakistan, where he delved into the intricacies of machine learning, image processing, and artificial intelligence. His academic foundation also includes a B.S. in Software Engineering from Bahria University, during which he developed strong programming skills in Python, Java, and C++, equipping him with the tools to tackle complex computational problems. His academic journey reflects his deep interest in understanding data structures and algorithms, making him proficient in implementing advanced analytics and programming solutions.

💼 Experience 

Danish Khan has a broad range of teaching and leadership experience, with over five years in academia. He is currently a Tutor at Taylor’s University, Malaysia, where he conducts tutorials in data science, supervises student projects, and plays a key role in shaping the post-graduate student experience. He previously served as the President of the Post-Graduate Student Council, organizing events and representing student perspectives in university meetings. Prior to his current role, Danish was a Senior Lecturer in the Faculty of Information Technology at the University of Central Punjab, Lahore, where he taught computer science and software engineering courses, supervised final-year projects, and contributed to extracurricular activities such as organizing sporting events. Additionally, Danish has experience as a QA Analyst at Orbit Institute of Technology in Lahore, where he maintained the quality standards in the Software Engineering department.

🏅Awards and Honors

Danish Khan has received notable recognition throughout his academic and professional career. His published research in data science and natural language processing has been featured in prominent Scopus-indexed conferences and reputed journals. As a Ph.D. scholar, he has been honored with several merit-based scholarships for academic excellence. Danish was also recognized for his leadership efforts while serving as President of the Post-Graduate Student Council at Taylor’s University, where he played a pivotal role in advocating for post-graduate student welfare. During his tenure at the University of Central Punjab, Lahore, he earned commendations for his outstanding contributions to teaching and student mentorship. Additionally, his development of an Android application, “Forex Profit Gain,” has garnered attention, earning placement in the Google Play Store. These accolades reflect his deep commitment to both academic rigor and innovative problem-solving in the field of data science.

🌐 Research Focus 

Danish Khan’s research is centered on data science, particularly natural language processing (NLP), machine learning, and sentiment analysis. His Ph.D. work at Taylor’s University, Malaysia, focuses on advanced techniques in deep learning to analyze and classify text-based data. His key areas of research include social media analytics, Twitter bot detection, and sentiment analysis of public opinion during crises such as the COVID-19 pandemic. Danish has contributed to frameworks that improve sentiment analysis by leveraging oversampling techniques and random minority oversampling, which enhance the accuracy of sentiment classification in user-generated content. His research also extends to explainable artificial intelligence (AI), where he has designed models for transparent and interpretable detection of bots on social media platforms. Danish’s academic pursuit aims to contribute practical, data-driven insights to solve real-world problems using cutting-edge AI and NLP technologies.

📖 publications Top Notes

“Framework for Improved Sentiment Analysis via Random Minority Oversampling for User Tweet Review Classification.”
Citation count: 25
“Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis.”
Citation count: 6
“Football Analytics for Goal Prediction to Assess Player Performance.”
Citation count: 4
“Explainable Twitter Bot Detection Model for Limited Features.”
Citation count: 2
“Explainable Machine Learning Based Model for Heart Disease Prediction.”
“Analyzing the Efficacy of Bot Detection Methods on Twitter/X.”