Mrim M. Alnfiai | Human Computer Interaction | Best Researcher Award
Assistant Professor at Taif University, Saudi Arabia.
Mariam M. Alnfiai is an accomplished academic and researcher in the field of Computer Science, with over 14 years of experience in teaching, research, and administration. Currently serving as an Associate Professor in the Information Technology department at Taif University, she specializes in Human-Computer Interaction, accessibility, data security, and artificial intelligence. Her notable contributions to the field include multiple published research papers in reputable journals and her involvement in various funded research projects. Alnfiai is recognized for her dedication to education and research excellence, making her a prominent figure in the academic community.
Profileš¤
Educationš
Mariam Alnfiai holds a PhD and a Master’s degree in Computer Science from Dalhousie University, Canada, where she focused on Human-Computer Interaction and NFC technology. She also earned her Bachelor’s degree in Computer Science from Taif University, achieving a commendable GPA. Her continuous pursuit of knowledge is evident through her certifications, including Project Management Practitioner and Academic Quality Practitioner. Alnfiai’s educational background equips her with the skills and knowledge to excel in her professional roles and contribute significantly to her research endeavors.
Ā ExperiencešØāš«
With over 14 years in the IT field, Mariam Alnfiai has held various academic and administrative roles at Taif University, including Vice Chair of the IT Department. Her experience spans teaching both undergraduate and graduate courses in computer science, focusing on advanced research methodologies and human-computer interaction. She has supervised numerous research projects and served as a reviewer for multiple international journals, further demonstrating her expertise and commitment to advancing research in her field. Her administrative roles have also allowed her to influence departmental strategies and academic standards significantly.
Research Interestš¬Ā
Mariam Alnfiai’s research interests lie primarily in Human-Computer Interaction, accessibility, and usable security. She is particularly focused on developing assistive technologies that enhance the user experience for individuals with disabilities, including innovations in Braille text entry and NFC-based applications. Her work also encompasses data security and privacy, artificial intelligence, and data analytics. Through her research, Alnfiai aims to bridge the gap between technology and usability, ensuring that her contributions have a meaningful impact on society.
Awards and Honorsš
Throughout her career, Mariam Alnfiai has received numerous accolades for her contributions to academia and research. She is recognized as a UK Fellow by AdvanceHE, reflecting her commitment to leadership and educational excellence. Additionally, her involvement in various funded research projects has earned her recognition within her institution and the broader academic community. These honors, combined with her extensive publication record in esteemed journals, highlight her dedication to advancing knowledge and innovation in her field.
Skillsš ļø
Mariam Alnfiai possesses a diverse skill set that complements her academic and research endeavors. She is proficient in programming languages such as Java, PHP, and JavaScript, and is experienced with various development tools, including Android Studio and Microsoft Visual Studio. Her strong analytical and problem-solving abilities enable her to tackle complex challenges in her research. Additionally, Alnfiai is an effective communicator and collaborator, capable of leading research teams and engaging with industry partners to enhance the practical applications of her work.
Conclusion šĀ
Mariam M. Alnfiai is a distinguished researcher and educator whose extensive experience and academic accomplishments make her a significant contributor to the field of Computer Science. Her focus on Human-Computer Interaction and accessibility, coupled with her technical skills and leadership roles, positions her as a leading figure in advancing research and education. With a commitment to innovation and excellence, Alnfiai continues to inspire future generations of students and researchers, making her a deserving candidate for recognition in her field.
Title: Transition-aware human activity recognition using an ensemble deep learning framework
Year: 2025
Authors: Khan, S.I., Dawood, H., Khan, M.A., Alnfiai, M.M., Adnan, K.M.
Citation: Computers in Human Behavior, 162, 108435.
Title: Exploring the impact of word prediction assistive features on smartphone keyboards for blind users
Year: 2024
Authors: Alnfiai, M.M., Kabir, M.A.
Citation: Heliyon, 10(17), e36653.
Title: A deep learning framework for the early detection of multi-retinal diseases
Year: 2024
Authors: Ejaz, S., Baig, R., Ashraf, Z., Alnahari, M.M., Alotaibi, R.M.
Citation: PLoS ONE, 19(7), e0307317.
Title: Chat-GPT; validating Technology Acceptance Model (TAM) in education sector via ubiquitous learning mechanism
Year: 2024
Authors: Saif, N., Khan, S.U., Shaheen, I., Alnfiai, M.M., Arif, M.
Citation: Computers in Human Behavior, 154, 108097.
Title: Textual emotion analysis using improved metaheuristics with deep learning model for intelligent systems
Year: 2024
Authors: Alohali, M.A., Alasmari, N., Almalki, N.S., Assiri, M., Abdelbagi, S.
Citation: Transactions on Emerging Telecommunications Technologies, 35(4), e4846.
Title: Applications of artificial intelligence in environmental resource business management and sustainability
Year: 2024
Authors: Naim, A., Mohammed, A., Fatima, N., Alnfiai, M.M., Malik, P.K.
Citation: AI Applications for Business, Medical, and Agricultural Sustainability, pp. 1ā22.
Title: Transforming Transportation: Safe and Secure Vehicular Communication and Anomaly Detection with Intelligent Cyber-Physical System and Deep Learning
Year: 2024
Authors: Aleisa, H.N., Alrowais, F., Allafi, R., Motwakel, A., Ibrahim, S.S.
Citation: IEEE Transactions on Consumer Electronics, 70(1), pp. 1736ā1746.
Title: Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems
Year: 2024
Authors: Naeem, M.R., Amin, R., Farhan, M., Sampedro, G.A., KaroviÄ, V.
Citation: PeerJ Computer Science, 10, e2264.
Title: Innovative Insect Detection and Classification for the Agricultural Sector Using Gannet Optimization Algorithm with Deep Learning
Year: 2024
Authors: Al-Shahari, E.A., Aldehim, G., Sharaf Almalki, N., Sayed, A., Alnfiai, M.M.
Citation: IEEE Access, 12, pp. 108041ā108051.
Title: GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding
Year: 2024
Authors: Shaukat, F., Ejaz, N., Ashraf, Z., Alnahari, M.M., Alotaibi, R.M.
Citation: IEEE Access, 12, pp. 103176ā103191.