Dr. MENGYING YAN | biomaterial | Women Researcher Award

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Dr. MENGYING YAN | biomaterial | Women Researcher Award

Dr. MENGYING YAN, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Mengying Yan is an accomplished researcher specializing in neural interface materials, bio-3D printing, and cell culture technology. She holds a Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, and has extensive experience in food science and nutrition. Mengying’s career spans over five years in academic and research environments, primarily at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. She has worked as an assistant researcher and postdoctoral fellow, focusing on cutting-edge materials for neural interfaces and flexible electronic materials. Fluent in Italian and English, Mengying’s linguistic and cross-cultural communication skills have been honed by her nine years of international experience. Her research contributions have led to numerous publications in high-impact journals, showcasing her expertise in materials science and bioengineering. Mengying also has a passion for art, particularly traditional Chinese painting, and enjoys integrating creativity into her scientific endeavors.

Professional Profile

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Summary of Suitability for the Research for Women Researcher Award

Mengying Yan is a highly qualified candidate for the Research for Women Researcher Award. With over 10 years of academic and research experience in the fields of pharmaceutical, food, and cosmetic sciences, her expertise spans across cell culture, 3D printing, neural interface materials, and conductive polymers. She holds a Ph.D. from the University of Genoa, Italy, and has contributed to advanced research during her time as a postdoctoral researcher and assistant researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. Her research has resulted in several high-impact publications, and she has been recognized as a co-first author in notable journals like Advanced Healthcare Materials and ACS Applied Materials & Interfaces.

🎓   Education 

Mengying Yan’s academic journey reflects a deep commitment to science and research. She earned her Ph.D. in Pharmaceutical, Food, and Cosmetic Sciences from the University of Genoa, Italy, in 2018. During her doctoral studies, she focused on hydrogels for 3D cell culture, further expanding her expertise with an internship at the EU Institute on Membrane Technology (ITM-CNR), where she worked on developing drug-loaded microspheres using membrane emulsification techniques. Prior to this, Mengying completed her Master’s degree in Nutrition from the University of Calabria, Italy, and a Bachelor’s degree in Food Science and Engineering from Sichuan University, China. Her education equipped her with a comprehensive understanding of food science, membrane technology, and cellular systems. This strong foundation has been crucial in her current research work on neural interfaces and flexible materials, driving innovation and advancing the boundaries of biomedical technology.

💼   Experience 

Mengying Yan’s professional experience spans diverse areas of materials science and biomedical research. Currently, she serves as an Assistant Researcher at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where she focuses on 3D cell culture systems, flexible electronic materials, and neural interface technologies. Previously, she completed a postdoctoral fellowship at the same institution, contributing to significant advancements in bio-3D printing and conductive ink development. Her responsibilities included daily laboratory management, training new employees, and overseeing the maintenance of sophisticated research equipment. Mengying’s hands-on expertise with instruments such as UV spectrophotometers, DSC, and electrochemical workstations has enabled her to excel in experimental research. Her extensive academic background and practical experience, combined with her organizational skills and technical proficiency, make her a well-rounded researcher with the ability to lead innovative projects in biomedical engineering.

🏅   Awards and Honors 

Mengying Yan’s academic and research excellence has been recognized through multiple awards and honors. During her doctoral studies at the University of Genoa, she received a prestigious research grant from the European Union’s Institute on Membrane Technology (ITM-CNR), which funded her innovative work on developing drug-loaded microspheres for therapeutic applications. Her contributions to neural interface technology and bio-3D printing have garnered attention in the scientific community, resulting in her being selected as a co-author in several high-impact publications. In addition to academic recognition, Mengying has been honored for her mentorship and leadership in guiding new researchers at the Shenzhen Institutes of Advanced Technology. Her proficiency in integrating advanced scientific techniques with practical applications has set her apart as a leader in her field, earning her accolades from both peers and institutions. Mengying’s achievements are a testament to her dedication, innovation, and contributions to biomedical research.

🌍   Research Focus 

Mengying Yan’s research focuses on the intersection of materials science and biomedical engineering, with a particular emphasis on neural interface technologies and 3D cell culture systems. She has made significant contributions to developing flexible electronic materials and conducting polymers that improve the electrode-neural interface, facilitating better communication between electronic devices and biological tissues. Mengying’s work also explores bio-3D printing and the creation of hydrogel scaffolds that mimic natural tissue environments, enabling more effective tissue engineering and regenerative medicine. Her research aims to solve critical challenges in neural interface systems, enhancing their integration with the human body for medical applications such as brain-computer interfaces. By combining materials innovation with biological applications, Mengying’s research holds promise for advancing treatments for neurodegenerative diseases and improving prosthetic technologies. Her interdisciplinary approach ensures her research stays at the forefront of biomedical advancements.

 📖 Publications Top Notes

  • Three-dimensional highly porous hydrogel scaffold for neural circuit dissection and modulation
  • Flexible and stretchable polymer optical fibers for chronic brain and vagus nerve optogenetic stimulations in free-behaving animals
  • Low‐Cost Paper‐Based Conducting Polymer‐Hydrogel Flexible Bio‐Radar Sensor for Detecting Biological Objects
  • Development of enzyme-loaded PVA microspheres by membrane emulsification
    Development and characterization of a mucoadhesive sublingual formulation for pain control: Extemporaneous oxycodone films in personalized therapy

     

Mr. Rafael Siqueira | Nutrition | Best Researcher Award

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Mr. Rafael Siqueira | Nutrition | Best Researcher Award

Mr. Rafael Siqueira, Federal university of Bahia, Brazil

Rafael Pena Siqueira is a distinguished nutritionist and academic with a comprehensive background in nutrition, biosciences, and public health. He completed his PhD in Nutrition at the Federal University of Bahia (UFBA), focusing on the impacts of the COVID-19 pandemic on the lifestyle of higher education professionals and students. His Master’s degree explored analytical methods for detecting uranium in breast milk, further demonstrating his expertise in biosciences. Throughout his career, he has been actively involved in teaching, research, and extension activities at UFBA, where he supervises nutrition internships, oversees university food services, and participates in various academic committees. Rafael has also contributed to community health education, delivering lectures and courses on nutrition and public health. His ongoing research focuses on mental health and chronic diseases during the pandemic, highlighting his commitment to addressing real-world health challenges through innovative research.

Professional Profile

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Summary of Suitability for the Award

Rafael Pena Siqueira is a well-rounded candidate for the “Research for Best Researcher Award,” showcasing a solid academic and research background in the field of Nutrition. With a Ph.D. focused on the impact of the COVID-19 pandemic on lifestyle habits within higher education, Siqueira has tackled timely and relevant issues, demonstrating his ability to conduct impactful research. His prior work includes a Master’s thesis on the development of analytical methods for uranium detection in breast milk, highlighting his technical expertise in biosciences and health research.

🎓 Education 

Rafael Pena Siqueira holds a PhD in Nutrition from the Federal University of Bahia (UFBA), where he conducted a cohort study on the lifestyle impacts of the COVID-19 pandemic on students and faculty members in Brazilian higher education. His academic journey began with a Bachelor’s degree in Nutrition from UFBA’s Anísio Teixeira Campus, followed by a Master’s degree in Biosciences, where he developed an analytical method for detecting uranium in breast milk. His studies reflect a strong foundation in health and biosciences, with a focus on clinical and public health nutrition. Additionally, Rafael has pursued specialized courses, including Clinical Nutrition and Public Health from UNIGRAD, and short-term certifications in maternal and infant nutrition, sexually transmitted infections, and nutrition biochemistry. His education showcases a commitment to both academic excellence and practical applications in the field of nutrition, equipping him with the skills to address critical health issues.

💼   Experience 

Rafael Pena Siqueira has amassed extensive experience in both academic and public health sectors. Since 2016, he has been serving as a Technical Officer in Nutrition and Dietetics at the Federal University of Bahia (UFBA), where he supervises collective feeding internships, supports research and extension activities, and oversees food services contracts for the university’s dining facilities. Rafael has also served as an invited professor, teaching courses on topics like database research and artificial intelligence tools for scientific research. His role extends beyond the classroom, as he participates in various academic committees, including biosafety and internship coordination. He also facilitated community health education, acting as a mediator in courses designed to enhance the care for chronic non-communicable diseases in Bahia. His diverse roles highlight his ability to integrate academic knowledge with practical applications in nutrition and public health.

🏅  Awards and Honors 

Rafael Pena Siqueira has earned several accolades throughout his career, recognizing his contributions to nutrition and public health. In 2021, he received an award for his research on incorporating sociobiodiversity foods into the school diets of children with special dietary needs. This project, developed as part of the Postgraduate Program in Food and Nutrition at UFPR, exemplifies his commitment to improving public health through sustainable and inclusive dietary practices. Additionally, Rafael has been a scholarship recipient of prestigious Brazilian research agencies such as FAPESB and CNPq, which supported his studies and research projects during his Master’s and PhD programs. These honors underscore his expertise in the field of nutrition and his ongoing dedication to advancing nutritional science for the benefit of both academic communities and broader society.

🌍  Research Focus 

Rafael Pena Siqueira’s research primarily revolves around public health, nutrition, and the effects of chronic diseases. His current focus is on the mental health and lifestyle changes of students and educators in Brazilian higher education during the COVID-19 pandemic. This research is part of his PhD thesis at UFBA, where he examines how the pandemic has impacted physical activity, dietary habits, and mental health within academic settings. Previously, his Master’s research involved developing analytical methods for detecting uranium in breast milk, showcasing his expertise in biosciences. Rafael also explores community health interventions, particularly the integration of sociobiodiversity foods in school meals, and has contributed to courses and public health projects addressing chronic non-communicable diseases in Bahia. His work aims to bridge the gap between scientific research and practical health solutions, contributing to the improvement of public health through evidence-based nutritional practices.

 📖 Publication Top Notes

  1. Mediating effect of emotional distress on the relationship between noncommunicable diseases and lifestyle among Brazilian academics during the COVID-19 pandemic
  2. A dispersive liquid–liquid microextraction based on solidification of floating organic drop and spectrophotometric determination of uranium in breast milk after optimization using Box-Behnken design

Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

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Assoc. Prof. Dr. Hui Zhang | Artificial Intelligence | Industry Achievement Award

Assoc. Prof. Dr. Hui Zhang, Guizhou University of Finance and Economics, China

Hui Zhang is a distinguished senior engineer and associate professor at the School of Information, Guizhou University of Finance and Economics, China. With a Ph.D. in Computational Mathematics from Guizhou Normal University, Zhang has a diverse background spanning both academia and industry. His expertise ranges from computational mathematics to big data and cloud computing, having held prominent roles in R&D departments in China’s tech industry. Additionally, Zhang has served as a reviewer for prestigious journals, contributed to key projects, and holds multiple patents in data science and technology. His ongoing research and professional services make him a well-recognized expert in his field.

Professional Profile

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Summary of Suitability for the Research for Industry Achievement Award

Dr. Hui Zhang demonstrates a unique combination of academic and industrial achievements, making him a strong candidate for the Research for Industry Achievement Award. His background in computational mathematics and computer science, coupled with his experience in R&D and leadership roles in the big data industry, aligns well with the award’s focus on impactful industrial contributions.

🎓    Education

Hui Zhang completed his Bachelor’s in Information and Computational Science from Guizhou Normal University in 2010, alongside a Bachelor’s in English Education. He pursued a Master’s in Computational Mathematics at the same institution from 2010 to 2013. Hui continued his academic journey by earning a Ph.D. in Computational Mathematics, focusing on innovative computational methods. His educational experience highlights a strong foundation in both mathematics and interdisciplinary learning, setting the stage for his research and teaching career at Guizhou University of Finance and Economics.

💼   Experience

Hui Zhang’s career includes a range of positions in both academia and industry. After completing his master’s degree, he worked as a Business Manager at the Postal Savings Bank of China. He then transitioned to academic research while pursuing his Ph.D., contributing to key projects at the Guizhou Key Laboratory of Information and Computing Science. In industry, Zhang served as a Senior R&D Engineer and later General Manager of the R&D Department at Guizhou-Cloud Big Data Industry Development Co. Since 2022, he has been an associate professor at Guizhou University of Finance and Economics and a postdoctoral researcher, continuing to innovate in computer science and data science fields.

🏅  Awards and Honors

Hui Zhang’s numerous recognitions include being a Review Expert for multiple academic and governmental bodies, such as the Guizhou Provincial Department of Science and Technology. His technical contributions have earned him industry accolades, and he was invited to join the Big Data Expert Committee of the China Computer Federation. Zhang has also been honored as an Industrial Mentor in Guizhou Province and contributed as an expert reviewer for the prestigious Alexandria Engineering Journal. His expertise in computational mathematics and data science has made him a sought-after advisor and collaborator.

🌍  Research Focus

Hui Zhang’s research focuses on computational mathematics, big data, and information systems, particularly in developing algorithms and systems for data processing and analysis. He has worked extensively on Pulsar Data Processing, contributing to the design and implementation of comparative analysis and visualization systems. His research extends into numerical analysis, with a focus on finite element methods for solving complex mathematical problems. Zhang’s interdisciplinary approach combines theoretical mathematics with practical applications in data science, making significant advances in these fields.

📖 Publication Top Notes

  1. Generalized picture fuzzy Frank aggregation operators and their applications
  2. A second-order accurate and unconditionally energy stable numerical scheme for nonlinear sine-Gordon equation
  3. Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas
  4. A Certificateless Verifiable Bilinear Pair-Free Conjunctive Keyword Search Encryption Scheme for IoMT
  5. Deformations and Extensions of Modified λ-Differential 3-Lie Algebras

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

Professional Profile

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Summary of Suitability for the Award

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

 🎓  Education 

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

💼     Experience 

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

🏅  Awards and Honors

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

 🌍  Research Focus

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

📖 Publication Top Notes

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

Prof. M. Rafael Salaberry | Linguistics | Best Researcher Award

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Prof. M. Rafael Salaberry | Linguistics | Best Researcher Award

Prof. M. Rafael Salaberry, Rice university, United States

Dr. M. Rafael Salaberry is a distinguished scholar specializing in Spanish linguistics and second language acquisition. He is currently the Mary Gibbs Jones Professor of Humanities at Rice University, where he has been a faculty member since 2013. His academic journey began with a Ph.D. in Spanish Linguistics from Cornell University in 1997, following which he held prestigious positions at institutions like the University of Texas at Austin, Pennsylvania State University, and the University of Minnesota. Dr. Salaberry’s research interests focus on the intersection of language learning, cognitive studies, and applied linguistics. He has published extensively, with his works delving into tense and aspect in second language acquisition, interactional competence, and ethics in language testing. His contributions to language learning, diversity, and social justice in a post-COVID world continue to influence and shape linguistic studies globally.

Professional Profile

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Summary of Suitability for the Award

M. Rafael Salaberry is highly suitable for the “Research for Best Researcher Award” due to his distinguished career in Spanish linguistics and second language acquisition. He has held prestigious academic positions, including his current role as the Mary Gibbs Jones Professor of Humanities at Rice University, and has an impressive academic background with a Ph.D. from Cornell University. His long-standing academic career, spanning over two decades, includes notable positions at leading institutions such as the University of Texas at Austin, Pennsylvania State University, and the University of Minnesota.

 🎓 Education 

Dr. M. Rafael Salaberry earned his Ph.D. in Spanish Linguistics with a minor in Cognitive Studies from Cornell University in 1997. His doctoral work centered around understanding tense and aspect in second language acquisition, a subject that has informed much of his later research. Prior to his Ph.D., he developed a strong academic foundation in Spanish linguistics and cognitive studies, which paved the way for his future roles as a professor and researcher in the field. His educational journey reflects a deep commitment to understanding the cognitive mechanisms involved in language learning, as well as the practical applications of linguistic theories. This academic background has enabled Dr. Salaberry to engage with complex linguistic phenomena and contribute to advancing the field of applied linguistics, particularly in Spanish language pedagogy and second language acquisition.

💼  Experience

Dr. Salaberry’s academic career spans over two decades, with prominent positions at top institutions. Since 2013, he has held the title of Mary Gibbs Jones Professor of Humanities at Rice University. Before joining Rice, he was a Professor of Spanish Linguistics at the University of Texas at Austin (2006-2013), and prior to that, an Assistant and Associate Professor at Rice University (2000-2006). His earlier appointments include roles as an Assistant Professor at Pennsylvania State University (1998-2000) and the University of Minnesota (1997-1998). Throughout his career, Dr. Salaberry has contributed significantly to language acquisition research and the development of new methodologies in linguistics. His teaching and mentoring have shaped countless students’ understanding of linguistics, particularly in the areas of Spanish language acquisition, applied linguistics, and cognitive studies, where he continues to be a leading voice.

🏅  Awards and Honors 

Dr. M. Rafael Salaberry has received numerous accolades for his contributions to linguistics and education. He was awarded the prestigious Mary Gibbs Jones Professorship of Humanities at Rice University in 2013, a recognition of his outstanding scholarship in the field. In addition to this honor, Dr. Salaberry has been acknowledged for his pioneering work in applied linguistics, particularly his research on second language acquisition. His publications, which span books, edited volumes, and journal articles, have received critical acclaim in the academic community. He has also been invited to contribute to several influential linguistic series and special issues, reflecting the high regard in which his work is held. Throughout his career, Dr. Salaberry’s dedication to ethical research and language diversity has garnered recognition and respect, solidifying his reputation as a leading scholar in his field.

 🌍 Research Focus 

Dr. M. Rafael Salaberry’s research focuses on second language acquisition, particularly the acquisition of tense and aspect in Spanish. His work explores how learners develop linguistic competence over time, with a strong emphasis on the role of cognitive mechanisms in language learning. He has also conducted extensive research on interactional competence, examining how language learners navigate and participate in social interactions. In recent years, his research has expanded to include ethical considerations in language testing and the role of language diversity in education, especially in a post-COVID context. Dr. Salaberry’s interdisciplinary approach combines insights from applied linguistics, cognitive studies, and social justice, making his work highly relevant in today’s globalized world. His research has been influential in shaping contemporary understandings of language learning processes, particularly for students learning Spanish as a second language.

📖 Publication Top Notes

  • Assessing speaking in context: Expanding the construct and the applications
  • Converging Agendas of Rationalist and Discursive Approaches for the Development of a Pedagogy of L2 Pragmatics
  • Expanding the Definition of Aspect in L2 Acquisition: Assessing Advanced Levels of Competence to Understand Aspectual Knowledge
  • Implementing the concept of ‘pedagogic mediation’ with the use of language corpora for the teaching of Portuguese as an L2 or L3
  • Influence of L1/L2 linguistic knowledge on the acquisition of L3 Spanish past tense morphology among L1 German speakers

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.

Professional Profile

Orcid

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

Dr. Mlungisi Duma | Artificial Intelligence | Best Researcher Award

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Dr. Mlungisi Duma | Artificial Intelligence | Best Researcher Award

Dr. Mlungisi Duma, University of Johannesburg, South Africa

Dr. Mlungisi Duma is a Senior Researcher and Development Manager at the University of Johannesburg. With over 19 years of experience in the IT profession, he has a rich background in software development and management. Dr. Duma holds a PhD in Electronic and Electrical Engineering, specializing in Artificial Intelligence, from the University of Johannesburg. His research focuses on machine learning, evolutionary computation, and optimization algorithms. He has successfully led numerous projects, published in top-tier journals, and is an active reviewer for multiple prestigious journals. His expertise extends to consultancy, where he manages application development for First National Bank, overseeing code maintenance for ATM systems. Dr. Duma’s contributions to academia and industry showcase his dedication to innovation and leadership in AI research.

Professional Profile

Scopus

Summary of Suitability for the Research for Best Researcher Award

Dr. Mlungisi Duma’s diverse contributions to the fields of artificial intelligence and evolutionary computation, along with his leadership in both academia and industry, make him highly suitable for the ‘Research for Best Researcher Award’. His ability to bridge the gap between theoretical research and real-world applications, coupled with his strong publication record and professional recognition, demonstrate his excellence as a researcher. He is well-positioned to receive this award, as his work contributes significantly to advancing the field of artificial intelligence.

🎓  Education 

Dr. Mlungisi Duma holds a Master’s degree in Computer Science and a PhD in Electronic and Electrical Engineering, both from the University of Johannesburg. His PhD specialization in Artificial Intelligence equipped him with expertise in machine learning, evolutionary computation, and optimization algorithms. Throughout his academic journey, Dr. Duma has actively engaged in cutting-edge research projects, collaborating with renowned academics and professionals. His commitment to education has been reflected in his role as a judge and reviewer at various academic institutions and scientific journals. As a Senior Member of IEEE and ACM, he continues to contribute to the advancement of AI technologies. Dr. Duma’s academic background is a testament to his passion for innovation, making significant contributions to the field of Artificial Intelligence.

 💼  Experience

With 19 years of experience in the IT industry, Dr. Mlungisi Duma has held various technical and leadership roles. For nine years, he worked as a software developer, honing his skills in coding, system architecture, and application design. Following this, he spent a decade as a Development Manager and Software Architect at First National Bank, where he led teams responsible for developing and maintaining ATM systems. Currently, he is a Senior Researcher and Development Manager at the University of Johannesburg, where he leads AI research initiatives. His extensive experience spans both academic and industry settings, bridging the gap between theoretical research and practical applications. Dr. Duma’s ability to manage multidisciplinary teams and deliver innovative solutions reflects his leadership and technical acumen.

🏅Awards and Honors 

Dr. Mlungisi Duma has received several prestigious awards and honors for his contributions to Artificial Intelligence and software development. He is a Senior Member of IEEE and ACM, recognizing his influence in the academic and professional communities. Dr. Duma’s work has also been recognized through his membership in the Golden Key International Honour Society, a distinction for top-performing academics globally. He has served as a judge at the University of Johannesburg’s Academy of Computer Science project day and has been a frequent reviewer for renowned journals, including IEEE Access, Applied Soft Computing, and the Journal of Mathematical Problems in Engineering. These honors highlight Dr. Duma’s commitment to academic excellence and his significant contributions to advancing AI technologies.

 🌍 Research Focus

Dr. Mlungisi Duma’s research focuses on Artificial Intelligence, particularly in the fields of machine learning, evolutionary computation, and optimization algorithms. He has contributed extensively to developing novel AI models for predictive modeling, control parameter optimization, and feature selection. His recent work includes optimizing ant colony algorithms and using artificial immune systems for collaborative filtering in recommender systems. Dr. Duma’s research is not only theoretical but also has practical applications, as demonstrated by his consultancy projects for First National Bank, where AI-driven solutions are implemented in ATM systems. He has published widely in top-tier journals, reflecting his thought leadership in AI and its applications in diverse sectors. His current projects aim to enhance AI’s role in automation and decision-making across industries.

 📖 Publication Top Notes

  • Sparseness reduction in collaborative filtering using a nearest neighbour artificial immune system with genetic algorithms
    • Citations: 22
  • Optimising latent features using artificial immune system in collaborative filtering for recommender systems
    • Citations: 20
  • Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm
    • Citations: 30
  • Classification with missing data using multi-layered artificial immune systems
    • Citations: 4
  • Partial imputation to improve predictive modelling in insurance risk classification using a hybrid positive selection algorithm and correlation-based feature selection
    • Citations: 2

Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

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Mr. Md. Kawsar Ahmed | Engineering | Best Researcher Award

Mr. Md. Kawsar Ahmed, Daffodil International University, Bangladesh

Md. Kawsar Ahmed is an innovative electrical engineer from Bangladesh, specializing in antenna design, 5G/6G technology, and wireless communication. He completed his B.Sc. in Electrical and Electronics Engineering at Daffodil International University (DIU) with a CGPA of 3.50, showcasing a passion for advanced technologies and modern communication systems. His expertise has led him to work on groundbreaking research projects under esteemed international mentors at Universiti Teknologi PETRONAS, Malaysia. Md. Kawsar’s focus on millimeter-wave applications for next-gen communication systems reflects his visionary mindset in the ever-evolving tech landscape. With strong leadership in event management and extracurricular activities, including his role as Secretary of the DIU Voluntary Service Club, Kawsar demonstrates a commitment to both his academic and social responsibilities. His career objective is to apply his skills and creativity in modern technology, pushing the boundaries of electrical engineering for a more connected future.

Professional Profile

Google scholar

Summary of Suitability for the ‘Research for Best Researcher Award’

Md Kawsar Ahmed demonstrates a well-rounded profile of academic excellence, research potential, and extracurricular involvement. His research contributions in antenna design and wireless communication, coupled with his technical skills, leadership, and international collaborations, make him a suitable candidate for the ‘Research for Best Researcher Award.’ His growing body of work and dedication to technological advancements in 5G and 6G demonstrate significant potential for future contributions to the field.

 🎓Education 

Md. Kawsar Ahmed has a solid educational foundation in Electrical and Electronics Engineering. He graduated with a B.Sc. from Daffodil International University, Dhaka, Bangladesh, earning a CGPA of 3.50 out of 4, from 2020 to 2023. Prior to that, he completed his Higher Secondary Certificate (HSC) from Agricultural University College, Mymensingh, in the Science stream with a CGPA of 3.78 out of 5, in 2019. He also holds a Secondary School Certificate (SSC) from Pacchim Jaynagor Secondary School, Bhola, Barisal, securing a CGPA of 4.82 out of 5 in 2017. Kawsar’s education has been focused on science and technology from the beginning, paving the way for his success in antenna design, wireless communication, and innovative research. His drive for academic excellence has equipped him with practical and theoretical knowledge essential for addressing complex engineering challenges in today’s technology-driven world.

 💼 Experience 

Md. Kawsar Ahmed’s experience is centered on research and academic involvement in the field of electrical engineering. He began as a Student Associate at Daffodil Central Transport Management in 2022, continuing his journey as a Researcher under the mentorship of Dr. Md. Ashraful and Dr. Samir Salem Al-Bawri from Universiti Teknologi PETRONAS, Malaysia, in early 2023. His work focuses on advanced research in antenna design for 5G/6G applications and artificial neural network (ANN)-based performance estimations. His collaboration with renowned researchers has strengthened his expertise in designing highly efficient multi-port antennas for next-gen communications. Additionally, he contributed as a Student Associate in the Office of the Director of Students’ Affairs at DIU from 2022 to 2024. His commitment to both technical research and administrative work demonstrates his versatility and dedication to achieving excellence in his professional career.

 🏅Awards and Honors 

Md. Kawsar Ahmed has received numerous awards and honors that reflect his diverse talents and contributions. He participated in the 7th National Cub Camporee (2011) and the ICT Work Camp (2018) organized by Bangladesh Scouts, demonstrating his early leadership qualities. He has been part of the “International Astronomical Search Collaboration” project by NASA (2021), showcasing his academic prowess in science. Kawsar’s technical training includes the Industrial Training by BREB and a specialized Unique Automation Training. He also played key organizational roles at Daffodil International University, including events such as the Duke of Edinburgh International Award Conference, Parents’ Day, and International Mother Language Day. His participation in disaster response exercises and field training further highlights his diverse skill set. Through these achievements, Kawsar has proven his ability to excel not only in academics but also in extracurricular activities, event management, and community involvement.

 🌍 Research Focus 

Md. Kawsar Ahmed’s research focus revolves around the development of advanced antenna designs for next-generation communication technologies, including 5G and 6G millimeter-wave applications. His work includes performance estimation of slotted inverted F-shaped tri-band antennas for satellite and 5G/mm-wave communications using artificial neural networks (ANN). His research addresses the growing demand for compact and efficient multi-port MIMO antennas, which are crucial for high-frequency communication systems. By leveraging machine learning techniques, he aims to improve the directivity prediction of these systems, enhancing overall performance in real-world applications. His research extends to optimizing antenna structures for various applications in wireless communication, pushing the boundaries of innovation in this rapidly evolving field. Kawsar’s contributions to the field are not only academically significant but also have the potential to make practical impacts in telecommunications, helping industries transition to more advanced and efficient communication technologies.

📖 Publications Top Notes

ANN-based performance estimation of a slotted inverted F-shaped tri-band antenna for satellite/mm-wave 5G application
  • Citations: 1

Assist. Prof. Dr. Hanane Boutaj | Pharmacology | Best Researcher Award

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Assist. Prof. Dr. Hanane Boutaj | Pharmacology | Best Researcher Award

Assist. Prof. Dr. Hanane Boutaj, Abdelmaled Essaadi University, Morocco

Hanane Boutaj is an Assistant Professor of Plant Biology at Abdelmalek Essaadi University, Faculty of Medicine and Pharmacy, Tangier, Morocco. With a PhD in Biotechnology and Plant Pathology, her research centers on the use of medicinal plants and endomycorrhizal fungi to treat human fungal diseases and improve crop resistance. Notably, her work on olive tree resistance to Verticillium wilt has earned her multiple accolades, including first prize at international conferences in Morocco and Turkey. Passionate about advancing sustainable agriculture, she collaborates with national and international teams on innovative plant-based treatments. Hanane is also a Climate Ambassador and actively involved in research promoting environmental health.

Professional Profile

Scopus

Summary of Suitability for the Research for Best Researcher Award

Hanane Boutaj is highly suited for the “Research for Best Researcher Award” due to her innovative research contributions in medicinal plants and plant pathology. Her work demonstrates a strong focus on impactful research with tangible applications in biotechnology and plant-based treatments, earning recognition in various international conferences. While further publications or patents may strengthen her profile, her current academic and research excellence merits consideration for the award.

🎓 Education 

Hanane Boutaj holds a PhD in Biotechnology and Molecular Bioengineering from Cadi Ayyad University, where her thesis explored the role of mycorrhizal fungi in enhancing olive tree resistance to Verticillium wilt. She completed her Master’s degree in Natural Resources Valorization at Mohammed V University, where she researched the safety and chemical quality of Moroccan spearmint under different drying methods. She also holds a Bachelor’s degree in Biology Applied to Vegetal Productions from Cadi Ayyad University. Additionally, she has a specialized degree in the teaching profession from Cadi Ayyad University’s Ecole Normale Supérieure. Her academic background lays the foundation for her current research, where she applies biotechnology to solve critical agricultural challenges, particularly in the context of plant pathology and medicinal plants.

💼 Experience 

Currently, Hanane Boutaj serves as an Assistant Professor of Plant Biology at Abdelmalek Essaadi University, Tangier. Her professional journey began with research on the medicinal properties of plants, particularly their use in treating fungal diseases. With expertise in plant biology and biotechnology, she has led various collaborative research projects at both national and international levels. Hanane is actively involved in two research laboratories, located in Tangier and Marrakech, focusing on plant pathology and biological treatments. She also collaborates with French and Swiss research teams, investigating the therapeutic potential of natural remedies for managing health conditions such as diabetes. As a recognized expert in biotechnology, she has been invited to present her findings at multiple international conferences, garnering recognition for her innovative work in plant-based solutions for sustainable agriculture.

🏅Awards and Honors

Hanane Boutaj has been honored with several prestigious awards for her research in biotechnology and plant pathology. In 2020, she received the first award for best oral communication at the 21st International Conference on Agricultural Biotechnology and Agricultural Forestry in Istanbul, Turkey. In 2019, she won the best workshop award at Cadi Ayyad University’s Student Week for her presentation on the importance of biofertilizers for health and the environment. Additionally, she was awarded the first prize for her communication on food biotechnology at the “Biotechnologies at the Service of Society” conference held at the Faculty of Sciences and Techniques in Fez. These accolades reflect her commitment to advancing sustainable agricultural practices and her expertise in the field of plant biotechnology.

🌍 Research Focus 

Hanane Boutaj’s research focuses on the use of biotechnology to develop sustainable solutions for agricultural and environmental challenges. Her primary area of study is medicinal plants and their potential to combat human fungal diseases. Additionally, she is investigating the role of endomycorrhizal fungi in improving plant resistance to pathogens, with a particular emphasis on olive trees and their defense against Verticillium wilt. By leveraging plant biology and biotechnology, Hanane aims to create biological treatments that reduce the reliance on chemical pesticides and enhance crop resilience. Her ongoing research projects include collaborations with international teams from France and Switzerland, exploring the pharmacological potential of natural remedies for diabetes and other diseases. Through her work, Hanane seeks to contribute to the development of sustainable agricultural practices that promote environmental health.

📖 Publications Top Notes

  • Publication: “Unraveling arbuscular mycorrhizal fungi interaction in rice for plant growth development and enhancing phosphorus use efficiency through recent development of regulatory genes”
  • Citations: 13
  • Publication: “Effect of beneficial indigenous microorganisms on tomato growth performance, productivity, and protection against Verticillium dahliae“
  • Citations: 4
  • Publication: “The effects of mycorrhizal fungi on vascular wilt diseases”
  • Citations: 13
  • Publication: “Actinobacteria-enhanced plant growth, nutrient acquisition, and crop protection: Advances in soil, plant, and microbial multifactorial interactions”
  • Citations: 73
  • Publication: “Effectiveness of indigenous arbuscular mycorrhizal consortium on the growth and mineral nutrition of Argania spinosa (L.) skeels”
  • Citations: 6

Mr. Malu Daniel | Biotechnology | Research Excellence Award

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Mr. Malu Daniel | Biotechnology | Research Excellence Award

Mr. Malu Daniel, University of Calabar, Calabar, Nigeria, Nigeria

MR. DANIEL GATIE MALU is a dynamic researcher with a B.Sc. in Genetics and Biotechnology from the University of Calabar, Nigeria. His expertise lies in drug design, discovery, and molecular docking, where he utilizes computational techniques such as density functional theory (DFT) to address complex scientific challenges. His passion for drug delivery systems, particularly for genetic disorders like Cystic Fibrosis and cancers, fuels his ongoing research. Throughout his academic journey, Daniel has developed strong problem-solving skills, a collaborative mindset, and a commitment to scientific integrity. He is currently involved in a research program at the University of Calabar, where he is utilizing advanced computational tools to contribute to biosensor development, biomarkers, and drug modeling. He aims to further his knowledge through a Master’s degree, focusing on theoretical and computational modeling, with a drive to innovate in pharmaceutical and chemical research.

Professional Profile

Orcid

Summary of Suitability for the Award

MR. DANIEL GATIE MALU’s academic achievements, research experience, and dedication to utilizing advanced computational methods for drug design and bio-simulation, he is a strong candidate for the ‘Research for Excellence Award.’ His contributions to multidisciplinary research and his commitment to addressing critical global health issues through innovative scientific solutions make him well-suited for this recognition. His work has the potential for significant scientific impact, aligning well with the award’s criteria for research excellence.

🎓Education 

Daniel Gatie Malu holds a B.Sc. in Genetics and Biotechnology from the University of Calabar, Nigeria, graduating in 2024. His undergraduate thesis, titled “Molecular Modeling of the Spectroscopic Structural and Bioactive Potential of Azadirachta indica against Plasmodium falciparum”, highlights his deep interest in molecular modeling and drug discovery. Daniel explored phytochemical analysis, including GCMS, HPLC, FT-IR, and UV-Vis analysis, to investigate the bioactive potential of plant compounds. His academic focus was on theoretical and experimental approaches to understanding drug interactions with biological systems, utilizing modern computational techniques. The thesis also involved evaluating stability, reactivity, and binding potential of compounds, laying a strong foundation for his future research endeavors. This academic background equipped him with a solid understanding of computational biology, molecular chemistry, and bioinformatics, and he seeks to apply this knowledge to cutting-edge research in drug design and theoretical modeling.

 💼 Experience 

MR. DANIEL GATIE MALU has a diverse research background, starting with his industrial training at Biggmade Scientific Research Academy in 2023. There, he conducted serological tests and explored bioinformatics, focusing on drug-protein interactions. He also performed DNA extraction and plant tissue culture. Since November 2023, he has been part of the Computational and Bio-Simulation Research Group at the University of Calabar, where he is immersed in full-time research. Daniel leverages advanced computational tools such as Gaussian 16, AutoDock Vina, and PyMOL to conduct molecular docking and density functional theory (DFT) studies. His interdisciplinary research spans biosensors, biomarkers, and drug delivery systems. He has also contributed to academic publications and collaborated with peers across various scientific disciplines. Daniel’s mentorship of students and his role in academic projects demonstrate his commitment to fostering intellectual growth within his community.

🏅Awards and Honors 

Daniel Gatie Malu has earned recognition for his academic excellence and contributions to scientific research. In 2024, he became a student member of the Royal Society of Chemistry, which highlights his growing prominence in the field. His work has been instrumental in several key publications and research projects, earning him respect among his peers and mentors. His interdisciplinary research, particularly in molecular docking, density functional theory (DFT), and computational modeling, has been acknowledged within the scientific community. Throughout his academic career, Daniel has demonstrated a strong commitment to advancing knowledge in the fields of biotechnology and drug design, earning him multiple awards for his research contributions at the university level. His passion for innovative solutions in drug delivery and biosensor development has also positioned him as an emerging leader in computational biology and pharmaceutical research.

🌍 Research Focus 

Daniel Gatie Malu’s research focus lies at the intersection of computational chemistry, molecular biology, and drug discovery. He employs density functional theory (DFT) and molecular docking techniques to investigate drug-target interactions, specifically for diseases like Cystic Fibrosis, Huntington’s Disease, and various cancers (BRCA1/BRCA2). Daniel is particularly interested in the design of advanced drug delivery systems such as nanoparticles and liposomes for controlled release and targeted therapies. He also explores high-throughput screening (HTS) to identify active compounds from chemical libraries, focusing on improving the pharmacokinetic and safety profiles of potential drug candidates. Additionally, Daniel investigates the absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of these compounds. His interdisciplinary research extends to biosensors and biomarkers, leveraging computational methods for innovative applications in both pharmaceuticals and environmental sciences.

📖 Publications Top Notes

How does the long G·G* Watson-Crick DNA base mispair comprising keto and enol tautomers of the guanine tautomerise? The results of a QM/QTAIM investigation.