Assist. Prof. Dr. sumaira Javaid | Strutural biology | Best Researcher Award

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Assist. Prof. Dr. sumaira Javaid | Strutural biology | Best Researcher Award

Assist. Prof. Dr sumaira Javaid, Dr. Panjwani Center for Molecular Medicine and Drug Research, Pakistan

Sumaira Javaid is an esteemed scientist specializing in bio-organic chemistry, molecular, and structural biology. With over eight years of post-Ph.D. experience, she has built an impactful career in academia and research. Dr. Javaid completed her Ph.D. at the H.E.J. Research Institute of Chemistry, University of Karachi, where she focused on chemical compounds with potential anti-angiogenic, antioxidant, and myelin repair properties. She furthered her studies as a post-doctoral fellow at the Institut de Pharmacologie et de Biologie Structurale (IPBS) in France. Dr. Javaid has published 17 research papers, with a combined impact factor of 77 and an h-index of 10. Her contributions to the scientific community have garnered 358 citations. As an assistant professor at the University of Karachi, she continues to guide students and conduct groundbreaking research. Her work is recognized through prestigious awards, including post-doctoral fellowships and scholarships.

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Summary of Suitability for the Research for Best Researcher Award 

Dr. Sumaira Javaid is a strong candidate for the Research for Best Researcher Award. Her international exposure, innovative research, significant scholarly contributions, and mentorship abilities highlight her suitability for this award. Her work addresses critical issues in structural biology and enzyme inhibition, contributing to advancements in health and disease management, making her a well-rounded and deserving candidate.

🎓  Education 

Sumaira Javaid’s academic journey is marked by excellence in biochemistry and chemistry. She earned her Ph.D. in Chemistry from the H.E.J. Research Institute of Chemistry at the University of Karachi in 2016. Her dissertation titled “Screening of Chemical Compounds (Secondary Metabolites and Heterocyclic Synthetic Compounds) for Their Anti-Angiogenic, Anti-Oxidant, and CNS Myelin Repair Activities” demonstrated her expertise in bio-organic chemistry. Sumaira also holds an M.Sc. in Biochemistry from the University of Karachi, where she secured second position in her department. Her master’s thesis explored the behavioral effects of starvation and restricted feeding in rats. Additionally, she completed her B.Sc. (Hons) with majors in Biochemistry, Chemistry, and Microbiology from the same institution. Sumaira’s passion for research led her to pursue a post-doctoral fellowship at the Institut de Pharmacologie et de Biologie Structurale in Toulouse, France, focusing on advanced biopharmacology and structural biology from 2017 to 2018.

💼  Experience 

Sumaira Javaid brings over a decade of diverse experience in academia and research. Since September 2019, she has been an Assistant Professor at the Dr. Punjwani Center for Molecular Medicine and Drug Research, University of Karachi. She previously served as a Research Officer at the same institution and completed a one-year post-doctoral fellowship at the Institut de Pharmacologie et de Biologie Structurale (IPBS), France. Her international exposure includes a visiting scientist role at Université Paul Sabatier in Toulouse and research fellowships at renowned institutes like the National Institute for Health and Medical Research, Paris. At the H.E.J. Research Institute, University of Karachi, she was a Senior Research Fellow and later a Junior Research Fellow, contributing to advanced studies in enzyme inhibition, biochemistry, and molecular research. Sumaira has also supervised several M.Phil. and Ph.D. students, guiding their research in cancer treatment, neurobiology, and microbial enzyme inhibition.

 🏅 Awards and Honors 

Sumaira Javaid has been recognized for her outstanding contributions to research with several prestigious awards. She was awarded a Post-Doctoral Fellowship in France (2017-2018) under the Faculty Development Program, providing her the opportunity to further her studies at the Institut de Pharmacologie et de Biologie Structurale (IPBS). In 2012, she received the H.E.C. & French Embassy Split PhD and Post-Doctoral Fellowship Program award, which supported her advanced research in France and Pakistan. Throughout her academic career, Sumaira has also been acknowledged for her academic merit, having received a Merit-cum-Need Scholarship in 2005 during her undergraduate studies. Her work has been consistently recognized for its scientific impact, and she continues to be a leading figure in molecular and structural biology research. These accolades are a testament to her dedication, excellence, and influence in the field of bio-organic chemistry.

🌍  Research Focus 

Sumaira Javaid’s research focuses on bio-organic chemistry and molecular biology, with particular expertise in enzyme inhibition, biopharmaceuticals, and structural biology. Her Ph.D. research centered on exploring the anti-angiogenic, antioxidant, and myelin repair properties of secondary metabolites and synthetic compounds. She has a strong background in biomolecular NMR spectroscopy, protein purification, and enzyme inhibition assays. Sumaira’s research seeks to understand complex biochemical pathways, especially in the context of cancer treatment, neurodegenerative diseases, and infectious diseases. Her recent work has included biophysical methods to identify enzyme inhibitors that have potential therapeutic applications, particularly in treating neurological diseases and microbial infections. She has also contributed significantly to cell culturing techniques, immunohistochemistry, and immunocytochemistry. Sumaira’s collaborative projects with international institutions have expanded her research into structural biology and pharmacology, enhancing her contributions to drug discovery and molecular medicine.

 📖 Publication Top Notes

  • Title: Unexpected central role of the androgen receptor in the spontaneous regeneration of myelin

    Cited by: 122

  • Title: Zwitterionic pyrimidinium adducts as antioxidants with therapeutic potential as nitric oxide scavenger

    Cited by: 60

  • Title: Synthesis, molecular docking and xanthine oxidase inhibitory activity of 5-aryl-1H-tetrazoles

    Cited by: 35

  • Title: Synthesis and urease inhibitory activities of benzophenone semicarbazones/thiosemicarbazones

    Cited by: 27

  • Title: 2-Arylquinazolin-4(3H)-ones: A novel class of thymidine phosphorylase inhibitors

    Cited by: 16

 

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.

🎓  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.

💼  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.

🏅 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.

📖 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

Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

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Dr. Phuong Nguyen-Thanh | Engineering | Best Researcher Award

Dr. Phuong Nguyen-Thanh, National Kaohsiung University of Science and Technology, Taiwan

Phuong Nguyen Thanh is a dedicated Postdoctoral Researcher at the Energy Technology Research Center (ETRIC) in the Department of Electrical Engineering at the National Kaohsiung University of Science and Technology. Born on April 14, 1988, in Vietnam, he has developed a strong academic and professional background in electrical engineering and energy systems. His core skills encompass independent research, teaching various subjects in English, and programming in multiple languages, including JavaScript and MATLAB. With a passion for renewable energy integration, Phuong aims to contribute significantly to advancements in power systems. He is fluent in Vietnamese and English and has basic proficiency in Chinese. His professional journey reflects a commitment to fostering knowledge and innovation in the field of electrical engineering.

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Summary of Suitability for the Research for Best Researcher Award

Phuong Nguyen Thanh’s expertise in Electrical Engineering and Energy Technology positions him as a highly suitable candidate for the Research for Best Researcher Award. His background as a Postdoc Researcher at the Energy Technology Research Center (ETRIC), combined with his significant teaching experience at Nha Trang University, demonstrates a strong blend of academic knowledge and practical research ability. His PhD from National Kaohsiung University of Science and Technology further emphasizes his dedication to advancing energy systems, a critical area in modern research.

 🎓 Education 

Phuong Nguyen Thanh earned his Doctor of Philosophy in Electrical Engineering from the National Kaohsiung University of Science and Technology in 2022, where he focused on integrating artificial intelligence and deep learning algorithms in power systems. Before that, he completed his Master’s degree in Electronic and Computer Engineering at RMIT Vietnam in November 2014, a branch of the renowned Royal Melbourne Institute of Technology in Australia. His academic foundation includes a Bachelor’s degree in Electrical Engineering from the University of Vietnam Technology, where he specialized in Energy Systems, graduating in December 2010. Phuong’s strong educational background equips him with the theoretical knowledge and practical skills essential for addressing complex challenges in energy technology, paving the way for his impactful research in renewable energy and smart systems.

 💼 Experience

Phuong Nguyen Thanh has a rich professional experience in academia and research. He is currently a Postdoctoral Researcher at the Energy Technology Research Center (ETRIC), National Kaohsiung University of Science and Technology, where he applies AI and deep learning algorithms to enhance power systems since September 2022. Prior to this role, he served as a full-time lecturer at Nha Trang University, Vietnam, from 2010 to January 2019, where he taught courses on Power Systems, Power Dispatching Strategies, and Programming on Microcontrollers. His teaching methods emphasized practical applications and hands-on learning, fostering a deep understanding of electrical engineering among his students. Phuong has demonstrated his commitment to education and research by developing various applications for smartphones on Android and iOS platforms, as well as engaging in independent research projects that focus on renewable energy solutions and smart grid technologies.

🏅 Awards and Honors 

Phuong Nguyen Thanh has received several accolades for his contributions to the field of electrical engineering and renewable energy. His academic excellence was recognized with a scholarship for his Ph.D. studies at the National Kaohsiung University of Science and Technology, underscoring his commitment to advancing knowledge in energy technology. During his Master’s program at RMIT Vietnam, he was awarded a merit scholarship for outstanding performance in his coursework. Phuong has also been acknowledged for his innovative research projects, which have been presented at various national and international conferences. His dedication to teaching has earned him positive evaluations from students and faculty alike, reflecting his effective communication skills and passion for educating the next generation of engineers. Phuong’s continued pursuit of research excellence is expected to yield further recognition as he contributes to significant advancements in renewable energy integration and smart systems.

 🌍 Research Focus 

Phuong Nguyen Thanh’s research focus lies in the integration of renewable energy technologies and the application of artificial intelligence (AI) in power systems. His recent work involves exploring deep learning algorithms to enhance the efficiency and reliability of energy distribution networks. Phuong is particularly interested in developing smart grid solutions that can adapt to dynamic energy demands while optimizing the use of renewable sources such as solar and wind power. He aims to create innovative algorithms for energy management systems that can facilitate the seamless integration of distributed energy resources. Additionally, Phuong’s research investigates the implementation of microcontroller programming in energy systems to improve automation and control. Through his work at the Energy Technology Research Center (ETRIC), he seeks to address the challenges of renewable energy integration and contribute to the development of sustainable energy solutions for the future.

 📖 Publication Top Notes

  • Hourly load prediction based feature selection scheme and hybrid CNN-LSTM method for building’s smart solar microgrid
  • A cloud 15kV-HDPE insulator leakage current classification based improved particle swarm optimization and LSTM-CNN deep learning approach
  • Advanced AIoT for failure classification of industrial diesel generators based hybrid deep learning CNN-BiLSTM algorithm
  • Real-time AIoT anomaly detection for industrial diesel generator based an efficient deep learning CNN-LSTM in industry 4.0
  • Novel cloud-AIoT fault diagnosis for industrial diesel generators based hybrid deep learning CNN-BGRU algorithm

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.

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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.”