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

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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

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

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

Professional Profile

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Summary of Suitability for the Research for Best Researcher Award

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

🎓 Education

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

💼 Experience

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

🏅Awards and Honors

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

🌐 Research Focus

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