Naeem Ullah | Computer Science | Best Researcher Award

Published on by NESIN Awards

Mr. Naeem Ullah | Computer Science | Best Researcher Award

PhD Student at Software Engineering Research Group (SERG-UOM) University of Malakand, Pakistan

Mr. Naeem Ullah is a dedicated academic and researcher currently pursuing a PhD in Computer Science, with a focus on cybersecurity challenges in vehicle-to-vehicle communication from a software engineering perspective. Holding a strong academic record with a CGPA of 3.75/4.00, he has presented his research at international forums, such as the 2nd Annual International Workshop on Software Engineering, where he shared his Multivocal Literature Review (MLR) protocol on cybersecurity culture. Mr. Ullah has also received recognition for his teaching excellence, earning the Best Teacher Award in 2018. His work experience includes roles as a lecturer at the University Model College KPK, part-time tutor at Allama Iqbal Open University, and facilitator for continuous professional development programs for teachers. His research, currently under review, addresses crucial cybersecurity issues in vehicle-to-vehicle communications. Mr. Ullah’s commitment to furthering his knowledge is evident through multiple certifications in data science, networking, and cybersecurity.

Professional Profile 

Education

Mr. Naeem Ullah has a strong educational background in Computer Science. He is currently pursuing a PhD in Computer Science with a focus on cybersecurity challenges in vehicle-to-vehicle communication, maintaining an impressive CGPA of 3.75/4.00. His research aims to develop a mitigation model for cybersecurity issues in connected vehicle systems, reflecting his deep engagement with current technological challenges. Mr. Ullah completed his Master’s degree in Computer Science in 2019, achieving a CGPA of 3.7/4.00, with his thesis titled Software Development Process Improvement Model for Small Pakistani Software Development Companies. He also holds a Bachelor’s degree in Computer Science from 2014, with a CGPA of 3.62/4.00. His final year project, Auction Management System, showcased his ability to apply practical solutions to real-world problems. Mr. Ullah’s academic journey is marked by consistent excellence and a strong commitment to advancing his expertise in the field of computer science.

Professional Experience

Mr. Naeem Ullah has accumulated diverse professional experience in both academic and research roles. He has served as a Lecturer in Computer Science at the University Model College KPK, Peshawar, Pakistan, where he taught and mentored students in various computer science subjects. In addition, he has worked as a part-time tutor for Allama Iqbal Open University, Islamabad, since 2022, focusing on Information and Communication Technologies (ICT). Mr. Ullah has also contributed to teacher development programs, serving as a facilitator for the Continuous Professional Development (CPD) of Primary School Teachers (PSTs) through the Provincial Institute of Teacher Education (PITE) in KPK. His role as a part-time researcher at the Department of Computer Science and IT at the University of Malakand further underscores his involvement in academic research. Earlier in his career, he worked as a Secondary School Teacher at the Elementary and Secondary Education Department, KPK. His experiences reflect a blend of teaching, research, and educational development.

Research Interest

Mr. Naeem Ullah’s research interests primarily focus on cybersecurity, particularly in the context of emerging technologies such as vehicle-to-vehicle (V2V) communication. His PhD research investigates cybersecurity challenges and proposes mitigation models for securing V2V communication systems from a software engineering perspective. This area of research is highly relevant due to the increasing integration of connected vehicles and the need for secure communication protocols to protect sensitive data. Additionally, Mr. Ullah is interested in software engineering, with a particular emphasis on improving software development processes for small software companies in Pakistan, as demonstrated in his Master’s thesis. He has also contributed to the field of cybersecurity culture through his work on a Multivocal Literature Review (MLR) protocol, which identifies cybersecurity challenges and best practices in V2V communication. His research endeavors aim to address critical issues in both cybersecurity and software engineering, contributing to the development of safer, more efficient technologies.

Award and Honor

Mr. Naeem Ullah has received notable recognition for his academic and professional achievements. In 2022, he presented his Multivocal Literature Review (MLR) Protocol at the 2nd Annual International Workshop on Software Engineering (WSE-2022), organized by the Software Engineering Research Group at the University of Malakand. This presentation, focused on Cybersecurity Culture, showcased his expertise and contribution to the field of cybersecurity. Additionally, Mr. Ullah earned the prestigious Best Teacher Award from the Director of Elementary and Secondary Education, KPK, Pakistan, in 2018. This recognition highlights his excellence in teaching and his commitment to fostering the growth and development of his students. These awards and honors reflect Mr. Ullah’s dedication to advancing both his academic research and educational practices, demonstrating his commitment to the fields of computer science and cybersecurity while contributing positively to the educational community.

Conclusion

Naeem Ullah is a promising candidate for the Best Researcher Award, with a solid academic record, a focused and impactful research topic, and a commitment to both education and professional development. His strengths lie in his dedication to advancing cybersecurity research in emerging technologies like vehicle-to-vehicle communication and his capacity for leadership in educational initiatives. To further enhance his candidacy, Naeem could focus on increasing his research output, expanding his research scope, and engaging more in international collaborations to elevate the impact of his work.

Publications Top Noted

  • Title: Solutions to Cybersecurity Challenges in Secure Vehicle-to-Vehicle Communications: A Multivocal Literature Review
    Authors: Naeem Ullah, S.U. Khan, M. Niazi, A.A. Khan, J.A. Nasir
    Journal: Information and Software Technology
    Year: 2025
    Volume: 179
    Article ID: 107639
    Citations: 0
  • Title: Challenges and Their Practices in Adoption of Hybrid Cloud Computing: An Analytical Hierarchy Approach
    Authors: S.U. Khan, H.U. Khan, Naeem Ullah, R.A. Khan
    Journal: Security and Communication Networks
    Year: 2021
    Article ID: 1024139
    Citations: 2
  • Title: Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review
    Authors: S. Nazir, Y. Ali, Naeem Ullah, I. García-Magariño
    Journal: Wireless Communications and Mobile Computing
    Year: 2019
    Article ID: 5931315
    Citations: 138
  • Title: Practices for Clients in the Adoption of Hybrid Cloud
    Authors: S.U. Khan, Naeem Ullah
    Journal: Proceedings of the Pakistan Academy of Sciences: Part A
    Year: 2017
    Volume: 54(1A)
    Pages: 13–32
    Citations: 3

Amir Reza Rahimi | Computer | Best Researcher Award

Published on by NESIN Awards

Dr. Amir Reza Rahimi | Computer | Best Researcher Award

PHD at University of Valencia, Spain

Dr. Amir Reza Rahimi is a Ph.D. candidate at the University of Valencia, specializing in language, literature, culture, and their applications. With extensive experience teaching English at universities, high schools, and language institutes in Iran, he is actively involved in research projects like FORTHEM and SOCIEMOVE, focusing on fostering socioemotional skills through virtual exchange. Dr. Rahimi has conducted workshops for language teachers on integrating technology into English teaching and has published extensively in prestigious journals such as Computer-Assisted Language Learning and Computers in Human Behavior Reports. His research has been presented at international conferences, and he is recognized for introducing innovative educational methodologies, earning the Best Research Award in Innovation in Data Analysis. His expertise spans psycholinguistics, CALL, MOOCs, virtual exchange, and teacher education. With a passion for advancing language learning, Dr. Rahimi continues to make significant contributions to the intersection of technology and education.

Professional Profile 

Education

Dr. Amir Reza Rahimi has an extensive academic background, beginning with a Bachelor’s degree in English Language Teaching from the University of Mohaghegh Ardabili in Iran, completed between 2014 and 2017. He then pursued a Master’s degree in English Language Teaching at Shahid Rajaee Teacher Training University in Tehran, Iran, where he conducted research on the impact of massive open online courses (MOOCs) on Iranian EFL learners’ self-regulation and motivation. Dr. Rahimi is currently a Ph.D. candidate at the University of Valencia, Spain, where he is studying language, literature, culture, and their applications. His doctoral research is focused on exploring innovative methods in language learning, particularly through virtual exchange and computer-assisted language learning (CALL). Throughout his educational journey, Dr. Rahimi has continuously demonstrated a commitment to advancing the field of language education through research, publications, and participation in international academic projects.

Professional Experience

Dr. Amir Reza Rahimi has a rich and diverse professional experience in the field of language education. He has taught English at various institutions, including universities, high schools, and language institutes in Iran, where he developed expertise in teaching English as a foreign language (EFL). His teaching career spans over several years, during which he contributed to curriculum development and language instruction. Dr. Rahimi is currently involved in the FORTHEM Research Project and the SOCIEMOVE project, where he serves as a mentor researcher and focuses on developing socioemotional skills through virtual exchange. Additionally, he has conducted workshops for language teachers, helping them incorporate technology into their teaching practices. His research, which bridges the gap between language learning and technology, has led to numerous publications in high-impact journals. Dr. Rahimi’s professional experience reflects his dedication to enhancing language education through innovative methodologies and research-driven approaches.

Research Interest

Dr. Amir Reza Rahimi’s research interests primarily focus on the intersection of language education, technology, and learner motivation. His work explores various aspects of computer-assisted language learning (CALL), particularly how digital tools and virtual exchanges can enhance language learning experiences. Dr. Rahimi is deeply interested in the role of massive open online courses (MOOCs) and the development of self-regulation and motivation in online language learners. He also delves into psycholinguistics, exploring how emotional and psychological factors influence language acquisition. His research further investigates the impact of socioemotional skills on language learners, especially through virtual exchange programs like SOCIEMOVE. Additionally, he examines theory development in education, with a particular emphasis on innovative research designs, such as bisymmetric approaches. Dr. Rahimi’s work aims to bridge the gap between technology and language teaching, contributing to the advancement of both educational theory and practice in the digital age.

Award and Honor

Dr. Amir Reza Rahimi has received several prestigious awards and honors for his outstanding contributions to language education and research. Notably, he won the Best Research Award in Innovation in Data Analysis from ScienceFather for introducing a new research design to the field of education, specifically a bisymmetric research design. This recognition highlights his innovative approach to research methodology, particularly in the context of computer-assisted language learning (CALL). Dr. Rahimi’s research has also earned him multiple publications in top-tier journals such as Computer-Assisted Language Learning, Computers in Human Behavior Reports, and Education and Information Technologies, where his work on language learning, virtual exchange, and online motivation has gained significant academic attention. His accomplishments have been further acknowledged through his active participation in international conferences, including the TESOL International Convention and the World CALL Conference. Dr. Rahimi’s honors reflect his commitment to advancing language education through technology and innovation.

Conclusion

Amir Reza Rahimi is a highly accomplished researcher whose contributions to CALL, psycholinguistics, and educational technology make him a strong contender for the Best Researcher Award. His innovative approaches, impactful publications, and leadership in international projects are commendable. To further solidify his candidacy, increased interdisciplinary collaboration, a focus on societal impact, and broader dissemination of his work are recommended. Overall, his profile aligns well with the criteria for excellence in research, making him a suitable nominee for this award.

Publications Top Noted

  • The role of university teachers’ 21st-century digital competence in their attitudes toward ICT integration in higher education: Extending the theory of planned behavior
    Authors: AR Rahimi, D Tafazoli
    Year: 2022
    Citation: The JALT CALL Journal, 18(2), 1832-4215
  • Unifying EFL learners’ online self‑regulation and online motivational self‑system in MOOCs: A structural equation modeling approach
    Authors: AR Rahimi, Z Cheraghi
    Year: 2022
    Citation: Journal of Computers in Education, 9(4)
  • EFL learners’ attitudes toward the usability of LMOOCs: A qualitative content analysis
    Authors: AR Rahimi, D Tafazoli
    Year: 2022
    Citation: The Qualitative Report, 27(1), 158-173
  • The role of EFL learners’ L2 self-identities, and authenticity gap on their intention to continue LMOOCs: Insights from an exploratory partial least approach
    Author: AR Rahimi
    Year: 2023
    Citation: Computer Assisted Language Learning, 1-32
  • Online motivational self-system in MOOC: A qualitative study
    Author: AR Rahimi
    Year: 2021
    Citation: From emotion to knowledge: emerging ecosystems in language learning, 79-86
  • Beyond digital competence and language teaching skills: The bi-level factors associated with EFL teachers’ 21st-century digital competence to cultivate 21st-century digital skills
    Author: AR Rahimi
    Year: 2024
    Citation: Education and Information Technologies, 29(8), 9061-9089
  • A bi-phenomenon analysis to escalate higher educators’ competence in developing university students’ information literacy (HECDUSIL): The role of language lecturers’ conceptual …
    Author: AR Rahimi
    Year: 2024
    Citation: Education and Information Technologies, 29(6), 7195-7222
  • The role of twenty-first century digital competence in shaping pre-service teacher language teachers’ twenty-first century digital skills: the Partial Least Square Modeling …
    Authors: AR Rahimi, Z Mosalli
    Year: 2024
    Citation: Journal of Computers in Education
  • A tri-phenomenon perspective to mitigate MOOCs’ high dropout rates: the role of technical, pedagogical, and contextual factors on language learners’ L2 motivational selves, and …
    Author: AR Rahimi
    Year: 2024
    Citation: Smart Learning Environments, 11(1), 11
  • Determinants of Online Platform Diffusion during COVID-19: Insights from EFL Teachers’ Perspectives
    Authors: AR Rahimi, S Atefi Boroujeni
    Year: 2022
    Citation: Journal of Foreign Language Teaching and Translation Studies, 7(4), 111-136
  • The role of ChatGPT readiness in shaping language teachers’ language teaching innovation and meeting accountability: A bisymmetric approach
    Authors: AR Rahimi, A Sevilla-Pavón
    Year: 2024
    Citation: Computers and Education: Artificial Intelligence, 7, 100258
  • Exploring the direct and indirect effects of EFL learners’ online motivational self-system on their online language learning acceptance: the new roles of current L2 self and …
    Authors: AR Rahimi, Z Mosalli
    Year: 2024
    Citation: Asian-Pacific Journal of Second and Foreign Language Education, 9(1), 49