Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

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Assoc. Prof. Dr. Abdisalam Hassan Muse | Decision Sciences | Best Researcher Award

Assoc. Prof. Dr Abdisalam Hassan Muse, Amoud University, Somalia

Dr. Abdisalam Hassan Muse is a dedicated statistician and academician from Somalia, with a solid track record in teaching and research. With a PhD in Statistics from the Pan African University (PAUSTI), Kenya, he specializes in data science, mathematics, and statistics. His expertise spans across curriculum development, machine learning, and quantitative methods. As the current Director of the Research and Innovation Centre at Amoud University, Dr. Muse is at the forefront of fostering research and innovation, collaborating with industry partners, and promoting data-driven solutions. His prior roles include Assistant Professor and Dean of the School of Postgraduate Studies and Research at Amoud University. Passionate about academic development and professional growth, Dr. Muse is actively involved in student mentorship, knowledge sharing, and leading research initiatives that benefit both his community and the broader academic world.

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Summary of Suitability for the Research for Best Researcher Award

Abdisalam Hassan Muse demonstrates a strong candidacy for the Research for Best Researcher Award. His academic background spans various disciplines, with a PhD in Statistics from the prestigious Pan African University, as well as multiple master’s degrees and a solid foundation in both Islamic studies and the sciences. His extensive teaching and research experience, particularly in statistics, data science, and mathematics, coupled with his proficiency in a wide array of statistical software, positions him as an authority in his field. His leadership roles, including as Director of the Research and Innovation Centre at Amoud University, reflect his capability in driving forward research initiatives, securing funding, and fostering a research-oriented academic environment.

πŸŽ“  Education 

Dr. Abdisalam Hassan Muse’s educational journey reflects a strong foundation in both Islamic studies and STEM fields. He earned his PhD in Statistics from the Pan African University (PAUSTI) in Nairobi, Kenya, with a focus on advanced statistical methodologies. Prior to that, he pursued an MSc in Climate Change and Environmental Sustainability from Amoud University, Somalia, and an MSc in Mathematics and Statistics. His undergraduate studies include a BA in Islamic Studies from Beder International University and a BSc in Mathematics and Physics from Amoud University. Additionally, Dr. Muse holds diplomas in Islamic Studies and Education for Mathematics and Physics, which complement his broad academic expertise. His education underscores a commitment to both scientific rigor and cultural awareness, providing a unique interdisciplinary perspective in his research and teaching. His diverse academic background positions him as a leader in statistical research and environmental sustainability.

πŸ’Ό  Experience 

Dr. Abdisalam Hassan Muse’s professional experience spans over a decade, with leadership roles in academia and research. Currently, he serves as the Director of the Research and Innovation Centre at Amoud University, where he leads research projects, fosters collaboration with industry partners, and promotes innovation across disciplines. Previously, he held the role of Assistant Professor at the School of Postgraduate Studies and Research at the same institution, where he taught statistics, mathematics, and data science, while mentoring students and leading seminars. Dr. Muse has also served as the Dean of the School of Postgraduate Studies and Research, overseeing strategic academic development and institutional growth. His earlier roles include Lecturer at Amoud University and Adal Medical University, where he was involved in teaching a wide array of subjects including biostatistics, physics, and mathematics. His dedication to education and research has been instrumental in shaping future scholars and advancing scientific knowledge.

πŸ… Awards and Honors 

Dr. Abdisalam Hassan Muse has been recognized for his contributions to academia and research. His academic achievements include a PhD Scholarship at the Pan African University (PAUSTI), awarded for his outstanding performance and research potential in statistics. Throughout his career, he has received numerous accolades for his work in fostering innovation and education at Amoud University, where he led several successful research initiatives. Dr. Muse was also honored as a National GCSE Exam Marker by the Ministry of Science and Higher Education in Somaliland, highlighting his contributions to the educational sector at a national level. Additionally, his leadership as Dean of the School of Postgraduate Studies and Research earned him recognition for enhancing postgraduate education and research infrastructure. His continued commitment to advancing knowledge through teaching, research, and academic leadership has solidified his reputation as an influential figure in the field of statistics and data science.

🌍  Research Focus 

Dr. Abdisalam Hassan Muse’s research focus spans across various domains of statistics, data science, and environmental sustainability. His work in statistics involves developing and applying advanced methodologies in data analysis, machine learning, and quantitative methods to address complex problems. He is particularly interested in utilizing statistical tools to understand environmental changes, specifically in relation to climate change and sustainability. Dr. Muse’s interdisciplinary approach incorporates both statistical theory and practical applications, ensuring that his research has a real-world impact. His work has contributed to significant advancements in understanding the role of data in environmental policy-making, public health, and educational development. As a researcher, Dr. Muse also focuses on the integration of technology in education, exploring how digital tools can enhance learning outcomes in mathematics and statistics. His commitment to research is evident in his numerous publications and leadership roles in promoting academic innovation.

πŸ“– Publication Top Notes

  • Title: Modelling the COVID‐19 Mortality Rate with a New Versatile Modification of the Log‐Logistic Distribution
  • Citation: 48
  • Title: On the log-logistic distribution and its generalizations: a survey
  • Citation: 35
  • Title: The Arctan‐X Family of Distributions: Properties, Simulation, and Applications to Actuarial Sciences
  • Citation: 32
  • Title: An extended cosine generalized family of distributions for reliability modeling: Characteristics and applications with simulation study
  • Citation: 31
  • Title: Bayesian and Classical Inference for the Generalized Log‐Logistic Distribution with Applications to Survival Data
  • Citation: 31

Mr. Daniel Morariu | Resilience | Best Researcher Award

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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 β€œLucian 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 β€œLucian Blaga” University and completed his PhD in Computer Science with a focus on β€œAutomatic 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.

 πŸŽ“  Education 

Daniel Morariu completed his secondary education at β€œMircea Eliade” Theoretic High School, Sighisoara, between 1989-1993. He pursued higher education at β€œLucian 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 β€œParallel 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 β€œContributions to Automatic Knowledge Extraction from Unstructured Data,” under the supervision of Professor Lucian N. VinΘ›an. 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.

πŸ’Ό     Experience 

Daniel Morariu has held a variety of academic positions throughout his career. He began as a teaching assistant at β€œLucian 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.

πŸ…  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 β€œLucian 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.

 πŸŒ  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 β€œContributions 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.

πŸ“– 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

Ms. Havva Mehralitabar | Biophysics | Women Researcher Award

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Ms. Havva Mehralitabar | Biophysics | Women Researcher Award

Ms. Havva Mehralitabar, Tarbiat modares university, Iran

Dr. Havva Mehralitabar Firozjah, born on December 2, 1985, is a distinguished biophysicist specializing in molecular dynamics simulations, peptide design, and nanotechnology. Currently a researcher at Sari Agricultural Sciences and Natural Resources University, Iran, she has made significant contributions to cancer research, bacterial and viral infections, and peptide-based therapeutic designs. With a strong academic foundation, Dr. Mehralitabar’s Ph.D. in Biophysics from Tarbiat Modares University centered on self-assembling peptide nanofibers, laying the groundwork for her innovative approaches in neural stem cell differentiation. Her work is marked by numerous high-impact publications and collaborations in computational biology and molecular simulations. As a researcher and educator, she has excelled in both wet lab and computational biology skills, mentoring students and contributing to interdisciplinary scientific advancements.

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Summary of Suitability for the Research for Women Researcher Award

Havva Mehralitabar Firozjah is an outstanding candidate for the Research for Women Researcher Award based on her impressive academic background, diverse research experience, and contributions to science. With a Ph.D. in Biophysics from Tarbiat Modares University and a focus on molecular dynamics, she has worked on pioneering projects in cancer, bacterial and viral infections, and nanotechnology. Her research skills, particularly in computational biology and molecular dynamics simulations, are extensive, covering critical areas like protein modeling, molecular docking, and bioactive peptide design.

πŸŽ“  Education 

Dr. Havva Mehralitabar Firozjah’s academic journey is marked by excellence and dedication to biophysics and molecular biology. She earned her Ph.D. in Biophysics (2013-2018) from Tarbiat Modares University, Tehran, where her thesis on self-assembling alkylated peptide nanofibers provided a unique perspective on neural differentiation. Before this, she completed her M.Sc. in Biophysics (2009-2012) at the Institute for Advanced Studies of Basic Sciences (IASBS), Zanjan, where she investigated the thermodynamic interactions between Doxorubicin and DNA. Dr. Mehralitabar also holds a B.Sc. in Plant Biology (2004-2008) from Alzahra University, Tehran. Her research focus spans molecular dynamics simulations and computational biology, and she has developed deep expertise in both theoretical and practical applications of biophysics, laying a strong foundation for her groundbreaking research in peptide-based therapeutic designs and biomolecular structures.

 πŸ’Ό    Experience

Dr. Havva Mehralitabar Firozjah has accumulated extensive research experience across various scientific domains. She is currently a researcher (2020-2023) at Sari Agricultural Sciences and Natural Resources University, focusing on in silico studies of lactoferrin mechanisms in cancer and bacterial infections. Prior to this, she served as a consultant (2018-2020) at Hakim Sabzevari University, guiding M.Sc. students in molecular dynamics simulations. As an adjunct professor (2019-2022), she taught advanced courses in system biology and molecular docking methods, further shaping young scientists. Her experience in both wet labs and computational biology makes her a versatile scientist, skilled in molecular simulations, peptide design, and biophysics research. Through multiple collaborations and supervisory roles, Dr. Mehralitabar has played a key role in advancing research in the field of molecular biology and nanotechnology.

πŸ… Awards and Honors 

Dr. Havva Mehralitabar Firozjah’s contributions to biophysics have earned her numerous awards and recognitions. Notably, she secured 6th place in the National Ph.D. Entrance Exam (2013) out of 120 participants, showcasing her academic prowess. She has also served as a reviewer for the esteemed Journal of Computer in Biology and Medicine (2020-2022), underlining her expertise in computational biology. During her academic tenure, Dr. Mehralitabar received several honors for her innovative research in molecular dynamics simulations and peptide nanotechnology, including recognition from Tarbiat Modares University for her exceptional Ph.D. thesis on alkylated-peptide nanofibers. Additionally, her active participation in conferences and workshops has led to several poster presentations, contributing to her standing as a thought leader in her field. Her relentless pursuit of scientific excellence continues to make a significant impact on the biophysics research community.

🌍 Research Focus 

Dr. Havva Mehralitabar Firozjah’s research primarily revolves around molecular dynamics simulations, peptide design, and nanotechnology. Her work focuses on exploring the interactions between peptides and biological molecules to develop innovative therapeutic strategies. One of her most notable projects includes in silico studies of lactoferrin mechanisms, aiming to address cancer, bacterial, and viral infections. She also specializes in self-assembling peptides for neural stem cell differentiation, demonstrating the potential of biomaterials in regenerative medicine. Dr. Mehralitabar’s research extends into the structural dynamics of proteins, molecular docking, and simulations to understand how molecular structures influence biological functions. With extensive expertise in computational biology and hands-on molecular biology techniques, her work integrates theoretical approaches with practical lab results, making strides in drug design and biomolecular engineering.

πŸ“– Publication Top Notes

  • A combination of bioactive and nonbioactive alkyl-peptides form a more stable nanofiber structure for differentiating neural stem cells: a molecular dynamics simulation survey
    Citations: 9
  • Abiraterone and D4, 3-keto Abiraterone binding to CYP17A1, a structural comparison study by molecular dynamic simulation
    Citations: 3
  •  The role of Wnt palmitoleylated loop conserved disulfide bonds in Wnt-frizzled complex structural dynamics: Insights from molecular dynamics simulations
    Citations: 1
  • The physicochemical properties role of a functionalized alkyl-peptide in nanofibre formation and neural progenitor cells viability and survival
    Citations: 1
  •  In vitro study of the expression of autophagy genes ATG101, mTOR and AMPK in breast cancer with treatment of lactoferrin and in silico study of their communication networks and …

Dr. Gloria Grice | Pharmacy | Best Researcher Award

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Dr. Gloria Grice | Pharmacy | Best Researcher Award

Dr. Gloria Grice, University of Health Sciences and Pharmacy in St. Louis, United States

Gloria R. Grice, Pharm.D., is an accomplished academic leader and healthcare professional. She currently serves as the Associate Dean for Academic Affairs at the St. Louis College of Pharmacy, University of Health Sciences and Pharmacy in Saint Louis. With over two decades of experience in pharmacy education, Dr. Grice holds additional roles as a Professor (Non-Tenure Track) in the Department of Pharmacy Practice and a Courtesy Assistant Professor at Goldfarb School of Nursing. She earned her Doctor of Pharmacy degree from the University of Maryland, where she also completed pre-pharmacy coursework. Dr. Grice’s expertise spans pharmacotherapy, pharmacy practice, and interprofessional healthcare education. She has been recognized for her contributions to student-centered learning and ability-based education. Throughout her career, Dr. Grice has led innovative teaching and clinical practice initiatives, preparing future healthcare professionals to excel in diverse clinical settings.

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Evaluation for Research for Best Researcher Award: Gloria R. Grice

Summary of Suitability
Gloria R. Grice stands out as a highly accomplished academic and healthcare professional with extensive experience in both clinical practice and academic leadership. Her tenure as Associate Dean for Academic Affairs, coupled with her long-standing role as a Professor in Pharmacy Practice, highlights her capacity for leadership, mentorship, and innovation in pharmacy education. Her rich educational background, including a Doctor of Pharmacy degree from the University of Maryland, and her specialty residency in Family Medicine, establish her as an expert in her field.

  πŸŽ“ Education 

Gloria R. Grice completed her Doctor of Pharmacy (Pharm.D.) from the University of Maryland, Baltimore, in May 2002. Prior to her Pharm.D., she pursued Pre-Pharmacy studies at the University of Maryland, College Park, from 1996 to 1998. Her academic journey was marked by an emphasis on both foundational science and clinical pharmacy practice. Dr. Grice’s education has laid the groundwork for her extensive involvement in pharmacy practice and academic leadership. Her passion for advancing pharmacy education is reflected in her current role as Associate Dean for Academic Affairs and as a Professor (Non-Tenure Track) in the Department of Pharmacy Practice. Dr. Grice continues to contribute to educational advancements by developing innovative curricula that integrate pharmacotherapy, interprofessional education, and patient-centered care approaches.

 πŸ’Ό Experience

Dr. Gloria R. Grice has over two decades of experience in pharmacy practice and academia. Since July 2021, she has been the Associate Dean for Academic Affairs at the St. Louis College of Pharmacy, University of Health Sciences and Pharmacy in Saint Louis. She has also held the role of Professor (Non-Tenure Track) in the Department of Pharmacy Practice since 2015. Dr. Grice’s teaching career includes serving as a course coordinator, lecturer, and preceptor for numerous pharmacy and interprofessional education courses. Her earlier roles include Clinical Instructor and Clerkship Preceptor, where she provided experiential education in primary care and geriatrics. Dr. Grice’s residency at St. John’s Mercy Family Medicine expanded her clinical practice in various specialties, including internal medicine and geriatrics. Her clinical and educational expertise continues to shape the next generation of pharmacists and healthcare professionals.

  πŸ…Awards and Honors 

Dr. Gloria R. Grice has received several recognitions for her contributions to pharmacy education and clinical practice. She holds certifications in Advanced Cardiac Life Support (ACLS) and Immunization from the American Pharmacists Association, demonstrating her clinical proficiency. Additionally, she has been a Board Certified Pharmacotherapy Specialist since 2003, further renewed in 2010 and 2017, underscoring her expertise in pharmacotherapy. Dr. Grice is also licensed to practice pharmacy in both Missouri and Maryland. Throughout her career, she has been honored for her commitment to student-centered, ability-based education, particularly in the areas of primary care and interprofessional healthcare education. Her role in shaping experiential learning and preceptorship has earned her significant respect among peers and students alike. Dr. Grice’s leadership in academic administration further exemplifies her dedication to advancing the field of pharmacy education.

  πŸŒ Research Focus 

Dr. Gloria R. Grice’s research focuses on interprofessional education, pharmacotherapy, and innovative approaches to healthcare education. She is particularly interested in how collaborative, patient-centered care can be enhanced through better integration of pharmacists into interprofessional healthcare teams. Her work explores the role of pharmacy in managing chronic conditions such as diabetes, hypertension, and heart failure, as well as the optimization of pharmacogenomics in primary care settings. Dr. Grice has contributed to research on educational strategies, including ability-based learning and assessment-driven methodologies. Her goal is to advance the quality of pharmacy education, preparing healthcare professionals to deliver comprehensive, team-based care. Dr. Grice’s research also highlights the importance of experiential learning and preceptorship in cultivating future leaders in pharmacy practice.

  πŸ“– Publications Top Notes

Use of pharmacogenetic and clinical factors to predict the therapeutic dose of warfarin
  • Citations: 998
Integration of genetic, clinical, and INR data to refine warfarin dosing
  • Citations: 267
Genetic-based dosing in orthopedic patients beginning warfarin therapy
  • Citations: 225
A polymorphism in the VKORC1 regulator calumenin predicts higher warfarin dose
  • Citations: 126
Laboratory and clinical outcomes of pharmacogenetic vs. clinical protocols for warfarin initiation in orthopedic patients
  • Citations: 100