Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Editorial Board Member

Published on by World Top Scientists

Dr. Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Editorial Board Member

Lecturer | Osun State University | Nigeria

Dr. Oluwatobi Adedamola Ayilara-Adewale is a computer science researcher specializing in machine learning, AI-driven cybersecurity and intelligent systems, serving as an academic and research contributor in these domains. With advanced degrees in computer science and a strong foundation in computational methods and digital systems, he has gained professional experience through participation in national and international research projects involving digital resilience, smart agriculture, climate-focused data analytics and secure digital infrastructures, often providing technical leadership in multidisciplinary teams. His research focuses on artificial intelligence, IoT security, intrusion detection, blockchain security, predictive analytics and cyber-resilient architectures, supported by numerous peer-reviewed publications spanning journals, conference outputs and book chapters. He has contributed to the development of machine learning models for security, intelligent decision-support systems and emerging frameworks for digital trust. Dr. Ayilara-Adewale has received recognition for innovative research and holds professional certifications in cloud computing, cybersecurity and penetration testing. He is an active member of multiple professional bodies, reflecting his commitment to advancing knowledge in computing and cybersecurity, and he has engaged in collaborative initiatives that strengthen the ecosystem of applied AI research. His growing scholarly profile, technical versatility and dedication to secure and intelligent systems position him as a valuable contributor to contemporary research and a strong candidate for excellence awards.

Profiles: Google Scholar

Featured Publications

1. Jimoh, K., Ajayi, A., & Ayilara, O. (2014). Intelligent model for manual sorting of plastic wastes. International Journal of Computer Applications, 101(7), 20–26.

2. Jimoh, K. O., Adepoju, T. M., Sobowale, A. A., & Ayilara, O. A. (2018). Offline gesture recognition system for Yorùbá numeral counting. Asian Journal of Research in Computer Science, 1(4), 1–11.

3. Ajayi, A. O., Jimoh, K. A., & Ayilara, O. A. (2016). Evaluation of plastic waste classification systems. British Journal of Mathematics & Computer Science, 16(3), 1–11.

4. Ayilara, M. S., Fasusi, S. A., Ajakwe, S. O., Akinola, S. A., Ayilara-Adewale, O. A., … (2025). Impact of climate change on agricultural ecosystem. In Climate change, food security, and land management: Strategies for a sustainable future.

5. Olanrewaju, A., & Ayilara, O. A. (2024). The effect of data compromises on internet users: A review on financial implication of the elderly in the United States. African Journal of Social Sciences and Humanities Research, 1, 28–37.

Dr. Oluwatobi Adedamola Ayilara-Adewale’s work advances secure and intelligent digital ecosystems by integrating artificial intelligence with resilient cybersecurity frameworks. His research contributes to safer technologies, sustainable data-driven solutions and innovative systems that support societal development, industry transformation and global digital trust.

Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Innovative Research Award

Published on by World Top Scientists

Dr. Oluwatobi Adedamola Ayilara-Adewale | Artificial Intelligence | Innovative Research Award

Lecturer | Osun State University | Nigeria

Dr. Oluwatobi Adedamola Ayilara-Adewale is a computer science researcher specializing in machine learning, AI-driven cybersecurity and intelligent systems, serving as an academic and research contributor in these domains. With advanced degrees in computer science and a strong foundation in computational methods and digital systems, he has gained professional experience through participation in national and international research projects involving digital resilience, smart agriculture, climate-focused data analytics and secure digital infrastructures, often providing technical leadership in multidisciplinary teams. His research focuses on artificial intelligence, IoT security, intrusion detection, blockchain security, predictive analytics and cyber-resilient architectures, supported by numerous peer-reviewed publications spanning journals, conference outputs and book chapters. He has contributed to the development of machine learning models for security, intelligent decision-support systems and emerging frameworks for digital trust. Dr. Ayilara-Adewale has received recognition for innovative research and holds professional certifications in cloud computing, cybersecurity and penetration testing. He is an active member of multiple professional bodies, reflecting his commitment to advancing knowledge in computing and cybersecurity, and he has engaged in collaborative initiatives that strengthen the ecosystem of applied AI research. His growing scholarly profile, technical versatility and dedication to secure and intelligent systems position him as a valuable contributor to contemporary research and a strong candidate for excellence awards.

Profiles: Google Scholar

Featured Publications

1. Jimoh, K., Ajayi, A., & Ayilara, O. (2014). Intelligent model for manual sorting of plastic wastes. International Journal of Computer Applications, 101(7), 20–26.

2. Jimoh, K. O., Adepoju, T. M., Sobowale, A. A., & Ayilara, O. A. (2018). Offline gesture recognition system for Yorùbá numeral counting. Asian Journal of Research in Computer Science, 1(4), 1–11.

3. Ajayi, A. O., Jimoh, K. A., & Ayilara, O. A. (2016). Evaluation of plastic waste classification systems. British Journal of Mathematics & Computer Science, 16(3), 1–11.

4. Ayilara, M. S., Fasusi, S. A., Ajakwe, S. O., Akinola, S. A., Ayilara-Adewale, O. A., … (2025). Impact of climate change on agricultural ecosystem. In Climate change, food security, and land management: Strategies for a sustainable future.

5. Olanrewaju, A., & Ayilara, O. A. (2024). The effect of data compromises on internet users: A review on financial implication of the elderly in the United States. African Journal of Social Sciences and Humanities Research, 1, 28–37.

Dr. Oluwatobi Adedamola Ayilara-Adewale’s work advances secure and intelligent digital ecosystems by integrating artificial intelligence with resilient cybersecurity frameworks. His research contributes to safer technologies, sustainable data-driven solutions and innovative systems that support societal development, industry transformation and global digital trust.

Huxiong Li | Artificial Intelligence | Artificial Intelligence

Published on by World Top Scientists

Prof. Dr. Huxiong Li | Artificial Intelligence | Artificial Intelligence

Professor | Shaoxing University | China

Prof. Dr. Huxiong Li is a leading researcher in artificial intelligence, specializing in 3D vision, intelligent perception, urban digital twins, and complex network control. He has made significant contributions through innovative research, demonstrated by his extensive publications, patents, and leadership of multiple national and international projects. His work bridges AI technologies with practical applications in cultural heritage preservation and smart city infrastructure, reflecting a strong interdisciplinary approach. Over the years, he has fostered collaborations with global institutions, enhancing the reach and impact of his research. Prof. Li’s guidance of numerous projects has not only advanced scientific understanding but also facilitated industrial implementation of AI technologies. His research demonstrates consistent excellence, originality, and societal relevance, positioning him as a prominent figure in geospatial artificial intelligence. According to Scopus, his measurable research impact includes 28 citations, 9 documents, and an h-index of 402.

Profiles: Scopus | ORCID

Featured Publications

1. Reducing the clustering challenge in the IoT using two disjoint convex hulls. Scientific Reports, 2025.

2. Integrating InSAR coherence and air pollution detection satellites to study the impact of war on air quality. International Journal of Applied Earth Observation and Geoinformation, 2025.

 

Bushra Naz | Deep learning | Best Researcher Award

Published on by World Top Scientists

Dr. Bushra Naz | Deep learning | Best Researcher Award

Associate professor at Mehran University of Engineering and Technology| Pakistan

Dr. Bushra Naz is an accomplished academic and researcher with expertise in artificial intelligence, deep learning, image processing, hyperspectral image classification, and pattern recognition. Serving as an Associate Professor and PhD supervisor, she has made significant contributions to advancing knowledge through impactful research and dedicated mentorship. Her funded projects include innovative solutions in speech emotion recognition, assistive technologies for visually impaired individuals, water quality monitoring, and sustainable agriculture, reflecting a strong focus on societal benefit. She has published widely, reviewed for leading international journals, and actively participated in global conferences as a session chair and committee member. Her achievements are further recognized through prestigious scholarships, research fellowships, and honors that demonstrate her academic excellence and leadership. With a commitment to bridging theory and practice, Dr. Naz continues to drive interdisciplinary collaborations and inspire future researchers, positioning herself as a leader in advancing AI-driven solutions for real-world challenges.

Professional Profile 

Google Scholar

Education

Dr. Bushra Naz has a strong academic foundation in computer systems and engineering, beginning with a bachelor’s degree in Computer Systems Engineering, followed by a master’s degree in Communication Systems and Networks. She pursued her doctoral studies at Nanjing University of Science and Technology, China, where she completed a PhD in Computer Science and Engineering with a research focus on machine learning and hyperspectral image classification. Her doctoral thesis explored advanced elastic-net representation methods for image classification, demonstrating her early commitment to innovative AI-driven solutions. She also earned international recognition during her doctoral journey, supported by prestigious scholarships and fellowships, which allowed her to gain global exposure and strengthen her research expertise. With a solid academic trajectory rooted in both national and international institutions, Dr. Naz has combined technical depth with interdisciplinary knowledge, equipping her with the skills to pursue cutting-edge research while training the next generation of scholars and professionals.

Experience

Dr. Bushra Naz brings extensive academic and research experience spanning over a decade. She began her professional journey as a laboratory lecturer, progressively advancing to lecturer, assistant professor, and currently serves as an associate professor in the Department of Computer Systems Engineering at Mehran University of Engineering and Technology, Jamshoro. In these roles, she has taught a diverse range of subjects including microprocessors, operating systems, digital image processing, machine learning, deep learning, and artificial intelligence, shaping the technical skills of numerous students. Beyond teaching, she has taken on leadership roles in departmental committees, project supervision, curriculum review, and outcome-based education implementation. Her responsibilities also include supervising undergraduate, master’s, and doctoral research projects, many of which align with pressing technological and societal challenges. Through her experience, she has built a reputation as a dedicated educator, innovative researcher, and academic leader who seamlessly integrates research and teaching to drive meaningful outcomes.

Research Focus

Dr. Bushra Naz’s research focus lies in the application of artificial intelligence and machine learning to solve complex real-world problems. Her expertise covers deep learning, neural networks, hyperspectral imaging, image classification, object detection, and pattern recognition. She has conducted pioneering research in spectral-spatial methods for image classification, advancing techniques in optimization and sparse representation. Her projects span diverse domains, including speech emotion recognition, augmented reality-based navigation for the visually impaired, IoT-driven water quality monitoring, crop sensing for sustainable agriculture, and accident detection systems. This interdisciplinary approach highlights her commitment to applying AI solutions for societal impact, sustainability, and technological innovation. In addition, she actively contributes as a reviewer for high-impact journals and participates in international conferences as a session chair, strengthening global research dialogue. By integrating technical rigor with practical application, Dr. Naz continues to expand the frontiers of AI research while addressing challenges that directly benefit communities and industries.

Award and Honor

Dr. Bushra Naz’s academic excellence and research contributions have been recognized through numerous awards and honors at national and international levels. She received the prestigious China Scholarship Council award for her PhD studies and was further distinguished with the ELITE Scholarship as the Best Foreign Student during her doctoral program. Her excellence in research was acknowledged with honor certificates and rewards for her publications in IEEE journals. Earlier in her career, she earned the Higher Education Commission of Pakistan’s fully funded scholarship for her master’s studies and received merit-based scholarships during her undergraduate years. She also secured the UNESCO/People’s Republic of China Co-Sponsored Fellowship as a senior research scholar, reflecting her growing international recognition. These accolades not only highlight her academic dedication but also underscore her ability to compete successfully at global platforms. Collectively, her awards showcase her talent, perseverance, and impactful contributions to engineering and computer science research.

Publication Top Notes

  • Title: Sustainable Higher Education Reform Quality Assessment Using SWOT Analysis with Integration of AHP and Entropy Models: A Case Study of Morocco
    Year: 2021
    Citations: 64

  • Title: Spatial-Hessian-feature-guided variational model for pan-sharpening
    Year: 2015
    Citations: 50

  • Title: Fast superpixel based subspace low rank learning method for hyperspectral denoising
    Year: 2018
    Citations: 44

  • Title: Bilayer elastic net regression model for supervised spectral-spatial hyperspectral image classification
    Year: 2016
    Citations: 28

  • Title: Hybrid LSTM Self-Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco
    Year: 2021
    Citations: 25

  • Title: Onion Crop Monitoring with Multispectral Imagery using Deep Neural Network
    Year: 2021
    Citations: 14

  • Title: A machine learning framework for major depressive disorder (MDD) detection using non-invasive EEG signals
    Year: 2025
    Citations: 13

  • Title: Sustainable higher education reform quality assessment using SWOT Analysis with integration of AHP and Entropy models: A case study of Morocco
    Year: 2021
    Citations: 13

  • Title: Local and nonlocal context-aware elastic net representation-based classification for hyperspectral images
    Year: 2017
    Citations: 8

  • Title: Hyperspectral image classification via Elastic Net Regression and bilateral filtering
    Year: 2015
    Citations: 8

Conclusion

Dr. Bushra Naz has established herself as a distinguished researcher and academic leader with a significant impact in the fields of artificial intelligence, machine learning, and hyperspectral image analysis. Her extensive research portfolio demonstrates a balance of theoretical innovation and practical application, addressing societal challenges such as sustainable agriculture, water quality monitoring, assistive technologies, and mental health detection. With a strong record of high-impact publications, international collaborations, research supervision, and active participation in conferences and editorial roles, she has consistently contributed to advancing knowledge and mentoring future researchers. Her achievements are further reinforced by prestigious awards, fellowships, and funded projects that recognize her scholarly excellence and leadership. Overall, Dr. Naz exemplifies the qualities of a visionary researcher—innovative, dedicated, and socially responsible—making her a highly deserving candidate for recognition through the Best Researcher Award.

Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

Published on by World Top Scientists

Dr. Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

Lecturer at University of Derby, United Kingdom

Dr. Mian Usman Sattar is an accomplished academic and researcher specializing in information systems, business intelligence, and data analytics, with extensive teaching and leadership experience across universities in the United Kingdom, Malaysia, and Pakistan. He has led innovative academic programs, introduced contemporary specialization tracks, and integrated emerging technologies into curricula. His research achievements are supported by multiple prestigious national and international grants, reflecting both expertise and the trust of funding bodies. As a program leader, department chair, and cluster head, he has demonstrated strong leadership in shaping academic directions and fostering institutional collaborations. His expertise spans artificial intelligence for business, data-driven marketing, enterprise systems, and big data analytics, complemented by a track record of academic honors and recognition as an approved PhD supervisor. Through his global exposure, research contributions, and commitment to advancing knowledge, Dr. Sattar has significantly impacted academia and industry, making him a distinguished figure in his field.

Professional Profile 

Google Scholar | Scopus Profile

Education

Dr Mian Usman Sattar holds a diverse and robust academic background, reflecting his dedication to continuous learning and specialization in technology and business domains. He earned his PhD in Informatics from the Malaysian University of Science and Technology, focusing on advanced aspects of information systems and analytics. His postgraduate qualifications include an MS in IT Management from the University of Sunderland, postgraduate diplomas in computer science and communication & computer technology, and an MSc in Computer Science from Government College University, Lahore. His academic progression demonstrates a steady advancement from foundational computer science knowledge to applied IT management and specialized research in informatics. Currently, he is pursuing a Postgraduate Certificate leading to FHEA from the University of Derby, reflecting his commitment to enhancing teaching and academic leadership. This diverse educational portfolio has equipped him with a strong blend of technical expertise, managerial insight, and pedagogical skills essential for his academic and research pursuits.

Experience

Dr. Mian Usman Sattar has an extensive career spanning academia, research leadership, and industry roles in the United Kingdom, Pakistan, and Malaysia. He is currently a Lecturer and Program Leader in Information Technology at the University of Derby, where he oversees academic programs and fosters student engagement. His previous academic roles include Assistant Professor positions at Beaconhouse National University and the University of Management and Technology, where he led academic clusters, introduced new specialization tracks, and managed industry collaborations. Beyond academia, he has held managerial and technical roles such as Deputy Manager (MIS) and Assistant Network Administrator, as well as leadership in training and consultancy for information security. Throughout his career, he has taught a wide range of subjects including business analytics, artificial intelligence for business, enterprise resource planning, and data-driven marketing. His experience reflects a blend of teaching, research supervision, academic program development, and practical industry engagement across multiple disciplines and sectors.

Research Focus

Dr. Mian Usman Sattar’s research centers on business intelligence, data analytics, enterprise systems, and information security, with a strong emphasis on integrating disruptive technologies into organizational and educational contexts. His work explores the use of artificial intelligence, machine learning, and big data analytics to enhance business decision-making and operational efficiency. He is particularly interested in the application of data-driven strategies in marketing, enterprise resource planning, and digital transformation. His research approach is both academic and applied, aiming to bridge the gap between theory and real-world implementation. By leading and participating in funded research projects, he has contributed to advancing knowledge in areas such as analytics governance, trust in digital systems, and emerging technologies for business competitiveness. His interdisciplinary focus enables collaboration across computing, engineering, and management fields, making his research relevant to both academia and industry. This focus reflects a commitment to innovation, problem-solving, and societal impact through technology-driven solutions.

Award and Honor

Dr. Mian Usman Sattar has earned multiple prestigious awards and honors that underscore his research excellence, academic leadership, and professional contributions. He received a PhD Fellowship from the Malaysian University of Science and Technology, recognizing his academic potential and research capability. His work has been supported by competitive grants from organizations such as the Pakistan Science Foundation, Malaysia Digital Economy Corporation, Malaysia Toray Science Foundation, and TWAS-COMSTECH, totaling significant funding for technology-driven research projects. He was awarded a travel grant by the Higher Education Commission of Pakistan to present his research internationally, reflecting recognition from the national academic community. Additionally, he holds the distinction of being an HEC Approved PhD Supervisor, affirming his capability to guide doctoral-level research. These achievements demonstrate his ability to secure funding, contribute to high-impact projects, and earn recognition for his scholarly and professional excellence at both national and international levels.

Publications Top Notes

  • Title: Predicting student performance in higher educational institutions using video learning analytics and data mining techniques
    Authors: R Hasan, S Palaniappan, S Mahmood, A Abbas, KU Sarker, MU Sattar
    Year: 2020
    Citations: 236

  • Title: Effects of virtual reality training on medical students’ learning motivation and competency
    Authors: MU Sattar, S Palaniappan, A Lokman, A Hassan, N Shah, Z Riaz
    Year: 2019
    Citations: 167

  • Title: Motivating medical students using virtual reality based education
    Authors: M Sattar, S Palaniappan, A Lokman, N Shah, U Khalid, R Hasan
    Year: 2020
    Citations: 148

  • Title: Whole-genome sequencing as a first-tier diagnostic framework for rare genetic diseases
    Authors: H Nisar, B Wajid, S Shahid, F Anwar, I Wajid, A Khatoon, MU Sattar, …
    Year: 2021
    Citations: 30

  • Title: An efficient computer vision-based approach for acute lymphoblastic leukemia prediction
    Authors: A Almadhor, U Sattar, A Al Hejaili, U Ghulam Mohammad, U Tariq, …
    Year: 2022
    Citations: 26

  • Title: Validation method for digital flow meter for fuel vendors
    Authors: P Megantoro, DA Husnan, MU Sattar, A Maseleno, O Tanane
    Year: 2020
    Citations: 19

  • Title: A review: Emerging trends of big data in higher educational institutions
    Authors: R Hasan, S Palaniappan, S Mahmood, VR Naidu, A Agarwal, B Singh, …
    Year: 2020
    Citations: 17

  • Title: Design of laboratory scale fluid level measurement device based on arduino
    Authors: NF Apsari, P Megantoro, MU Sattar, A Maseleno, O Tanane
    Year: 2020
    Citations: 12

  • Title: User experience design in virtual reality medical training application
    Authors: MU Sattar, S Palaniappan, A Lokman, N Shah, Z Riaz, U Khalid
    Year: 2021
    Citations: 11

  • Title: Multi-stage intelligent smart lockdown using sir model to control covid 19
    Authors: A Ghaffar, S Alanazi, M Alruwaili, MU Sattar, W Ali, M Humayun, …
    Year: 2021
    Citations: 10

  • Title: Arduino-based digital advanced audiometer
    Authors: NH Wijaya, M Ibrahim, N Shahu, MU Sattar
    Year: 2021
    Citations: 10

  • Title: Block-chain-security advancement in medical sector for sharing medical records
    Authors: R Abid, B Aslam, M Rizwan, F Ahmad, MU Sattar
    Year: 2019
    Citations: 10

  • Title: Customer Satisfaction Affects the Customer Loyalty: Evidence from Telecommunication Sector in Pakistan
    Authors: MU Sattar, B Sattar
    Year: 2012
    Citations: 10

  • Title: eDify: Enhancing Teaching and Learning Process by Using Video Streaming Server
    Authors: R Hasan, S Palaniappan, S Mahmood, KU Sarker, MU Sattar, A Abbas, …
    Year: 2021
    Citations: 9

  • Title: Intelligent digital twin to make robot learn the assembly process through deep learning
    Authors: B Ahmad
    Year: 2021
    Citations: 9

Conclusion

The publication record of Dr. Mian Usman Sattar reflects a strong and diverse research portfolio with impactful contributions in education technology, virtual reality in medical training, artificial intelligence applications, data analytics, and biomedical research. Several of his works, particularly those on predicting student performance and virtual reality in education, have received significant citation counts, indicating strong relevance and recognition in the academic community. His collaborations span across interdisciplinary fields, integrating computing, engineering, healthcare, and business domains, which enhances the applicability and reach of his research. The steady stream of publications in reputable journals and conferences, coupled with high-impact studies, demonstrates his ability to address current challenges with innovative, technology-driven solutions. Overall, the breadth, depth, and influence of his research output position him as a noteworthy and influential scholar whose work continues to contribute meaningfully to academia and industry alike.