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

Dr. Mohammed Alkamel | Humanities | Best Researcher Award

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Dr. Mohammed Alkamel | Humanities | Best Researcher Award

Dr. Mohammed Alkamel, AL-QALAM UNIVERSITY FOR HUMANITIES AND APPLIED SCIENCES, Yemen

Dr. Mohammed Abdulkareem A. Alkamel, an Assistant Professor from Ibb, Yemen, holds a PhD in English Language Studies (TESOL) from Dr. BAM University, India, where he completed his thesis on the use of ICT in English language teaching. With a Master’s from Pune University and a Bachelor’s from Ibb University, he has a strong academic foundation. Dr. Alkamel is renowned for his research contributions in English language education, ICT tools, and online learning, with numerous publications in international journals. He has extensive experience in teaching, translation, and peer-reviewing for academic journals. His expertise extends to keynote speaking and chairing international conferences, showcasing his thought leadership in the field.

Professional Profile

Google scholar

Summary of Suitability for the Research for Best Researcher Award

Dr. Mohammed Abdulkareem A. Alkamel demonstrates exceptional academic and research credentials, making him a strong candidate for the Research for Best Researcher Award. With a Ph.D. in English Language Studies (TESOL) and an extensive background in applied linguistics and e-learning, he has contributed significantly to the academic community. His focus on the use of Information and Communication Technology (ICT) in English language education is timely and relevant, particularly in the context of higher education and EFL learners.

🎓 Education

Dr. Mohammed Abdulkareem A. Alkamel holds advanced degrees in English Language Studies. He earned his PhD in 2021 from Dr. Babasaheb Ambedkar Marathwada University, India, with a dissertation titled “Use of ICT in Teaching and Learning English in Public and Private Universities of Yemen: A Comparative Study.” Prior to this, he completed his Master’s in English from Pune University, India, in 2016, focusing on English literature and applied linguistics. He obtained his Bachelor’s degree in English Language and Literature from Ibb University, Yemen, in 2013. His academic journey reflects a deep commitment to enhancing English language education, particularly through the integration of modern technology and digital tools. His research interests span TESOL, e-learning, and ICT-based language education, further solidifying his academic standing.

💼 Experience 

Dr. Mohammed Abdulkareem A. Alkamel has over three years of teaching experience, particularly in the English and Translation Departments at Ibb University and Al-Qalam University for Humanities. He has taught diverse subjects such as Legal Translation, Teaching Methods, Writing, and Technical Translation. As an Assistant Professor, he has mentored master’s students and supervised research projects, demonstrating his passion for guiding future scholars. Alongside his teaching roles, Dr. Alkamel has served on various academic committees, contributed to curriculum development, and helped create course specifications for both undergraduate and postgraduate programs. His experience also includes translating academic and literary works between Arabic and English. He has been actively involved in presenting his work at international conferences and seminars, and he has contributed to peer-reviewed journals, advancing the discourse on English language teaching and ICT.

🏅Awards and Honors 

Dr. Mohammed Abdulkareem A. Alkamel has been recognized for his significant contributions to academia. His numerous awards include invitations to serve as a keynote speaker at international conferences and workshops. He has also received honors for his peer-reviewing contributions to respected journals such as System Journal and Frontiers in Education. In addition to these accolades, Dr. Alkamel has been a guest of honor and committee member at several conferences, including the International Conference on Social Reform in Jalgaon, India. His academic excellence is reflected in his published research, which has been widely cited and praised for its impact on English language teaching methodologies. Furthermore, Dr. Alkamel has been recognized for his role in advancing research in the fields of TESOL, e-learning, and ICT integration in education.

🌍 Research Focus 

Dr. Mohammed Abdulkareem A. Alkamel’s research primarily focuses on the integration of Information and Communication Technology (ICT) in English language teaching and learning, particularly in higher education. His PhD research explored how ICT can enhance English language education in Yemeni public and private universities. Dr. Alkamel is also passionate about e-learning platforms and their potential to democratize access to education for students worldwide. His studies delve into the challenges and opportunities of online testing and the effectiveness of using social media as a tool for language learning. Furthermore, he has contributed to the field of translation studies, investigating the impact of technology on translation practices. His research offers valuable insights into applied linguistics, TESOL, and digital learning environments, providing solutions to improve the quality of language education in both formal and informal settings.

📖 Publications Top Notes

Utilizing Massive Open Online Courses (MOOCs) to Enhance English Language Proficiency among Yemeni EFL Learners
Utilizing an Adaptable Artificial Intelligence Writing Tool  to Enhance Academic Writing Skills among Yemeni University EFL Students
Social Media in Teaching English for EFL Students: A Review of Challenges and Suggestions
Psychological Resilience and Emotional Stability of Nurses in COVID-19 Quarantine Centers: A Brief Study
Citation count: 1
Online Testing in Higher Education Institutions during the Outbreak of COVID-19: Challenges and Opportunities
Citation count: 16

Mr.Danish Javed | Data Science | Best Researcher Award

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Mr.Danish Javed | Data Science | Best Researcher Award

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

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

Professional Profile

google scholar

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.”

kelig mahe | fisheries research | Research Excellence Award

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Dr kelig mahe | fisheries research | Research Excellence Award

Dr.kelig mahe, Ifremer, France

Dr. Kélig MAHE is a leading researcher at IFREMER, specializing in marine science, particularly in the fields of sclerochronology and fisheries. Since 2021, he has been the head of the Halieutiques Manche-Mer du Nord Unit, overseeing numerous national and European projects related to fish age estimation and stock management. Dr. MAHE’s expertise spans biological data coordination, fish age determination workshops, and the development of TNPC software. He has co-supervised 11 PhD students and 12 master’s students, contributing significantly to scientific innovation, as demonstrated by his 2010 award for scientific and technological innovation at IFREMER. His contributions extend internationally, with leadership in numerous European research collaborations.

Professinal Profile

  • orcid

    Education 

    Dr. Kélig MAHE’s academic journey is rooted in marine and environmental sciences. He earned his PhD in Marine Biology from Université du Littoral Côte d’Opale (ULCO) in 2019, focusing on fisheries and environmental ecosystems. Prior to this, he completed his Diplôme d’Etudes Approfondies (DEA) in Coastal and Littoral Ecosystem Dynamics from ULCO in 2002. Dr. MAHE’s foundational knowledge in marine resource management was shaped during his engineering studies at the prestigious Ecole Nationale Supérieure d’Agronomie de Rennes (ENSAR), where he graduated with a specialization in Halieutics in 2003. His multidisciplinary education also includes a Maîtrise des Sciences et Techniques in Environmental Sciences from the University of Rouen, completed in 2001, providing him with a well-rounded scientific background in both marine biology and environmental management.

    Experience 

    Dr. MAHE Kélig has an extensive research career at IFREMER, where he has been actively engaged since 2007. His role evolved from a research cadre to leading the Halieutiques Manche-Mer du Nord Unit in 2021. His vast experience includes coordinating national biological data, managing research programs on fish age estimation, and providing expert advice on stock management. His involvement in European research projects is extensive, including leadership positions in projects like Med-Units, Sumaris, and Microtolithe. Dr. MAHE has also represented IFREMER in international workshops and played a pivotal role in advancing sclerochronology, both through research and the development of TNPC software. His management experience includes overseeing teams and mentoring students, making significant contributions to both scientific research and talent development.

    Awards and Honors 

    Dr. MAHE Kélig’s distinguished contributions to marine science have earned him notable recognition. In 2010, he was awarded the IFREMER Trophée de l’innovation for his pioneering work in scientific, technical, and technological fields. His leadership and contributions have made a global impact, notably in European research collaborations, where he co-chaired 13 international workshops and participated in 4 European working groups. His expertise in sclerochronology has positioned him as an expert for IFREMER in international fora. Dr. MAHE’s influence extends to organizing international symposia, such as the 6th International Symposium on Biological Shape Analysis in 2019. His collaborative spirit and innovative work have consistently advanced marine research, particularly in fisheries biology, earning him respect and recognition within the global scientific community.

    Research Focus

    Dr. MAHE Kélig’s research centers on sclerochronology, the study of calcified structures in fish, to improve age determination methods and enhance fisheries management. His work plays a critical role in understanding fish population dynamics and the impacts of environmental changes, such as temperature fluctuations and CO2 levels, on marine species. Dr. MAHE has been at the forefront of integrating modern technologies in fisheries research, particularly through his contributions to the TNPC software for processing calcified structures. His research also extends to interdisciplinary collaborations, where he has led and participated in numerous European projects, focusing on sustainable fishery practices, species population structures, and biogeographical studies. His commitment to research excellence is evidenced by his active role in advancing knowledge in otolith morphogenesis, age determination, and stock management, all of which are pivotal for sustainable marine resource management.

     Publications Top Notes

    1. 🐟 Asymmetry of Sagittal Otolith Shape in Mediterranean Red Mullet: Comparative Analysis of 2D and 3D Otolith Shape Data (2023).
    2. 🌊 Effect of Temperature and CO2 on Morphogenesis of Sagittal Otoliths in Atlantic Herring (2023).
    3. 📊 Spatial Structuring of Demersal Fish Around Réunion Island Based on Otolith Shape (2023).
    4. 🧬 New Scale Analyses Reveal Centenarian African Coelacanths (2021).
    5. 🐠 Complementarity and Discriminatory Power of Genotype and Otolith Shape in Eastern English Channel Sole (2020).

Mohammadreza Alizadeh | Medicine and Dentistry | Best Researcher Award Iran

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Dr Mohammadreza Alizadeh | Medicine and Dentistry | Best Researcher Award

Dr.Mohammadreza Alizadeh, Iran University of Medical Sciences, Iran

Dr. Mohammadreza (Danial) Alizadeh is a highly skilled medical doctor with expertise in general and aesthetic practice. He graduated from Shahid Beheshti University of Medical Sciences, where he earned his Doctor of Medicine degree in 2020. With a passion for combining medicine and technology, Dr. Alizadeh’s diverse experiences span neurology, radiology, and health management. Currently, he serves as the Supervisor of Occupational Safety and Health at Saman Dej Alborz Co, while practicing as a General Practitioner in Mazandaran, Iran. His contributions to medical research, especially in neuroimaging, neurology, and brain injuries, reflect his commitment to advancing medical knowledge. Dr. Alizadeh is also fluent in Persian, English, and proficient in several other languages, which enhances his ability to collaborate in global settings. A passionate researcher, he has authored numerous publications in high-impact journals, particularly in neuroimaging and trauma.

Professional Profile

  • google scholor

    Experience:

    Dr. Mohammadreza (Danial) Alizadeh has gained a wealth of experience across diverse medical settings. Since May 2023, he has been working as the Supervisor of Occupational Safety and Health at Saman Dej Alborz Co., Tehran, where he oversees safety protocols in a corporate environment. In parallel, he practices as a General and Aesthetic Practitioner in Amol, Mazandaran, focusing on skincare, aesthetic treatments, and general medicine. From March 2019 to February 2021, Dr. Alizadeh held the same role at Derma Hall Clinic, Tehran, performing various cosmetic procedures and consultations. His formative experience includes a two-year internship at Shahid Beheshti University of Medical Sciences, where he rotated through various medical departments, solidifying his expertise in clinical decision-making, patient care, and research. Throughout his career, he has blended patient care with research, focusing on neuroimaging and radiology, with multiple publications in renowned journals.

    Awards and Honors:

    Dr. Mohammadreza (Danial) Alizadeh has been recognized for his academic and professional excellence throughout his career. His notable achievements include an honor for his contribution to neuroimaging research, particularly in traumatic brain injuries, which has gained international recognition. He has received several awards for his scientific publications in peer-reviewed journals, reflecting his deep involvement in advancing medical science. Dr. Alizadeh was also awarded a distinction for his work in healthcare management during his MBA at Shahid Beheshti University of Medical Sciences, highlighting his leadership capabilities in both clinical and managerial roles. His participation in international conferences and workshops has earned him accolades from the medical community, particularly for his innovative research on neuroimaging techniques in radiology. Moreover, his expertise in aesthetic medicine has brought him local recognition, particularly for his minimally invasive cosmetic procedures.

    Research Focus:

    Dr. Mohammadreza (Danial) Alizadeh’s research primarily focuses on neuroimaging and its application in understanding neurological conditions and brain injuries. He is particularly interested in the diagnostic use of MRI and radiomics in the detection and progression of conditions such as glioblastoma and traumatic brain injury. His research also extends to exploring neuroinflammatory responses and imaging abnormalities associated with neurodegenerative diseases. Dr. Alizadeh is actively involved in studying the impact of aducanumab immunotherapy on amyloid-related imaging abnormalities, a groundbreaking area in Alzheimer’s treatment. His work on the role of psychiatric disorders and neuroimaging has opened new avenues for diagnosing and treating mental health conditions using cutting-edge imaging technologies. Additionally, his research on biomarkers in neurotrauma and the use of artificial intelligence in radiological interpretations reflects his forward-thinking approach to medical research.

    Publications Top Notes:

    1. 🧠 “Imaging spectrum of amyloid-related imaging abnormalities associated with aducanumab immunotherapy”
    2. 🧪 “Clinical Decision Rules in Predicting CT Findings in Mild Traumatic Brain Injury”
    3. 🧬 “Radiomics: Differentiating Progression, Recurrence, and Radionecrosis in Gliomas”
    4. 🦠 “ALK-Positive Histiocytosis: A Deceptive Mimic of Meningioma”
    5. 🧠 “Radiomics in Psychiatric Disorders: An Emerging Diagnostic Tool”
    6. 🦠 “MRI Findings in COVID-19 Associated Encephalitis”
    7. 🧠 “Subcortical Signal Alteration of Corticospinal Tracts in ARIA”
    8. 🧠 “Serum Glial Fibrillary Acidic Protein for Intracranial Lesion Detection”
    9. 🩺 “Migraine and Subclinical Atherosclerosis: A Correlation Study”
    10. 🦠 “Effect of Underlying Diseases on COVID-19 Mortality Rate”
    11. 👶 “Choledochal Cyst in Pregnancy: A Case Report”
    12. 🧠 “Double Cystic Duct Case Report”
    13. 🧪 “Effect of Workshop vs. Lecture on Nursing and Midwifery Students”