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.

Hanane Thamik | Artificial Intelligence | Best Researcher Award

Published on by World Top Scientists

Dr. Hanane Thamik | Artificial Intelligence | Best Researcher Award

Associate Professor at Renmin University of China | China

Dr. Hanane Thamik is a distinguished academic and researcher whose career reflects an exceptional blend of scholarly excellence, global exposure, and social commitment. With advanced qualifications in e-commerce, international management, audit, and governance, she has complemented her academic journey with training in diplomacy and multicultural studies. Her research spans vital areas including artificial intelligence, sustainable development, digital transformation, social capital, and cultural heritage, with publications in respected international journals and contributions to global platforms such as the United Nations. Beyond academia, she has served as a writer, associate professor, and active participant in international forums, demonstrating her ability to bridge research with practice. Multilingual and versatile, she has engaged in projects linking Africa, China, and Europe, highlighting her commitment to cross-cultural understanding and collaboration. Her work embodies perseverance, innovation, and responsibility, positioning her as a role model and a strong candidate for recognition as an outstanding researcher.

Professional Profile 

Google Scholar | Scopus Profile

Education

Dr. Hanane Thamik has pursued a broad and impressive educational journey marked by international exposure and multidisciplinary focus. She completed her PhD in E-Commerce at Wuhan University, building on earlier academic foundations in International MBA studies, Audit and Governance, and a Bachelor’s degree in Economics and Management. Alongside her core academic studies, she enriched her expertise with training in diplomacy at the United Nations in Geneva and the European Academy of Diplomacy in Poland. She also dedicated significant effort to language learning, achieving proficiency in Chinese, Japanese, French, English, Spanish, Turkish, and Russian, which enables her to navigate diverse research and cultural contexts effectively. Technical skills in finance, taxation, accounting, project management, and advanced data analysis tools such as STATA and SPSS further strengthen her academic profile. Her diverse education reflects not only intellectual rigor but also her commitment to interdisciplinary knowledge, equipping her to engage meaningfully in global academic and policy discussions.

Experience

Dr. Hanane Thamik has accumulated extensive professional experience that bridges academia, policy, and international cooperation. She is currently serving as an Associate Professor and Researcher at Renmin University of China, where she contributes to teaching, mentorship, and impactful research. Her career also includes active participation in international political and social initiatives, such as her involvement as a Political Member of the Moroccan National Rally of Independents and as an International Patriotic Volunteer at the United Nations Human Rights Council in Geneva. Her professional journey extends to journalism and writing, with published work in Canadian and African media outlets, as well as a prior role as a business representative facilitating Sino-Moroccan cooperation. She has also delivered speeches at significant platforms including the UN Human Rights Council. This combination of academic, diplomatic, and cross-sectoral experience underlines her versatility and her ability to translate research into practice while addressing global challenges with a multidisciplinary approach.

Research Focus

Dr. Hanane Thamik’s research focuses on critical themes at the intersection of technology, society, and sustainable development. Her scholarly work explores the impact of artificial intelligence, digital transformation, and e-commerce on global economic systems, with particular emphasis on how these innovations support the United Nations Sustainable Development Goals. She also investigates cross-cultural and transnational perspectives, such as African student mobility to China, Sino-African trade relations, and the role of digital infrastructure in fostering international cooperation. Beyond technology and economics, her research extends into cultural heritage and governance, reflecting a holistic interest in the interplay between development, policy, and cultural identity. Her ability to produce interdisciplinary scholarship, published in peer-reviewed journals and leading platforms, demonstrates a balance between academic depth and applied relevance. By addressing both global and regional challenges, she has established herself as a researcher whose work contributes to advancing knowledge while fostering collaboration across societies and sectors.

Award and Honor

Dr. Hanane Thamik has earned multiple awards and recognitions that reflect her leadership, academic excellence, and contributions to global dialogue. She has represented international organizations at the United Nations, including the Commission on the Status of Women in New York, and has been selected as an International Youth Representative for the International Youth Water Forum organized by UNESCO and Wuhan University. Her recognition as a Youth African Leader in the China-Europe-Africa project and her selection in the Youth Development Leaders Cultivation program highlight her role in shaping cross-continental collaboration. She has also been honored for her achievements in Chinese language and culture, winning second prize in the “My Wuhan University Story” competition. These honors underscore her ability to combine academic research with cross-cultural engagement and public service. Collectively, they position her not only as an accomplished researcher but also as an influential figure in fostering dialogue, sustainability, and international cooperation.

Publication Top Notes

  • Title: The impact of artificial intelligence on sustainable development in electronic markets
    Year: 2022
    Citations: 55

  • Title: The digital paradigm: unraveling the impact of artificial intelligence and internet of things on achieving sustainable development goals
    Year: 2024
    Citations: 11

  • Title: African students’ mobility to China: An ecological systematic perspective
    Year: 2022
    Citations: 6

  • Title: Purchase decision-making process using social capital: moderating effect of trustworthiness
    Year: 2020
    Citations: 5

Conclusion

Dr. Hanane Thamik’s publications reflect a strong and evolving research trajectory, with a focus on artificial intelligence, sustainable development, digital transformation, social capital, and cross-cultural perspectives. Her work has gained recognition through citations, showing both academic impact and relevance to global challenges. From exploring the role of AI in electronic markets to analyzing African student mobility and decision-making processes, her contributions demonstrate both depth and diversity. The consistent growth in her research output and collaborations highlights her commitment to advancing knowledge that bridges technology, society, and policy. Overall, her scholarly record positions her as an impactful and promising researcher with global influence.

Hamed Khodadadi | Artificial Intelligence | Best Researcher Award

Published on by World Top Scientists

Assoc. Prof. Dr. Hamed Khodadadi | Artificial Intelligence | Best Researcher Award

Faculty Member at Khomeinishahr Branch, Islamic Azad University, Iran

Dr. Hamed Khodadadi is an accomplished researcher and academic with extensive expertise in biomedical engineering, control systems, and machine learning, particularly in healthcare applications. His work focuses on developing advanced computer-aided diagnosis systems for detecting diseases such as cancer, brain disorders, cardiovascular conditions, ADHD, Parkinson’s, and Schizophrenia. He has also contributed significantly to biomedical control systems, medical drug dosing strategies, and applications of chaos theory in medical research. With a strong background in intelligent modeling, nonlinear and adaptive control, and optimization techniques, Dr. Khodadadi has published widely and earned multiple prestigious awards recognizing his impact. His research has not only advanced scientific understanding but also demonstrated practical value through patents and innovative devices. Alongside research, he has mentored numerous graduate and doctoral students, demonstrating dedication to academic growth and leadership. His combination of innovation, productivity, and mentorship positions him as a highly influential figure in biomedical engineering and applied machine learning.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Hamed Khodadadi holds a Ph.D. in Electrical Engineering with a specialization in Control Systems from Azad University, Science and Research Branch, Tehran. His doctoral research focused on extracting nonlinear indices for image patterns and evaluating their application in cancer tumor control, bridging the gap between control theory and biomedical diagnosis. He earned his M.Sc. in Electrical Engineering, also in Control Systems, where his thesis involved designing and constructing a two-degree-of-freedom inertial stabilized platform, showcasing his strong foundation in system modeling and control. His academic journey began with a B.Sc. in Electrical Engineering at Iran University of Science and Technology, where he worked on PID controller design for pan-tilt movement in a gimbal system. This educational progression demonstrates a consistent focus on control systems with increasing application toward biomedical challenges, reflecting his ability to integrate engineering principles into healthcare innovations. His education has provided the solid technical base underpinning his interdisciplinary research career.

Experience

Dr. Khodadadi has over a decade of academic and research experience, serving as Assistant Professor and later Associate Professor at Azad University, Khomeinishahr Branch, where he supervises M.Sc. and Ph.D. students. His work includes designing advanced computer-aided diagnosis systems using biomedical signals and images for applications in cancer, cardiovascular disorders, ADHD, Parkinson’s, and Schizophrenia. He has also applied advanced control methods such as nonlinear, adaptive, fuzzy, and model predictive control to medical drug dosing, robotics, and industrial systems. His experience extends to the construction of biomedical and engineering devices, including prosthetic hands and robotic platforms. In addition to teaching graduate and undergraduate courses, he has actively guided thesis projects, contributing to the growth of young researchers. He has also undertaken collaborative roles in collecting biomedical databases, such as cardiovascular biomarkers and EEG signals, supporting clinical research. His broad experience demonstrates both depth in biomedical applications and versatility across engineering and industrial domains.

Research Focus

Dr. Khodadadi’s research centers on biomedical engineering, control systems, and machine learning, with a strong emphasis on healthcare applications. His work integrates computational intelligence, signal and image processing, and control theory to design advanced computer-aided diagnosis systems for life-threatening diseases, including various forms of cancer, brain disorders, and cardiovascular conditions. He has pioneered the application of nonlinear control, adaptive control, and metaheuristic optimization in medical drug dosing and disease modeling, contributing to precision medicine. Additionally, his research explores chaos theory and its role in biomedical image analysis, providing novel tools for early disease detection. He also investigates intelligent optimization and robust control techniques for diverse engineering applications, from robotics and power systems to industrial processes. His interdisciplinary focus blends theory with practical innovation, producing outcomes that advance both medical research and engineering systems. Ultimately, his research vision aims to improve diagnostic accuracy, treatment strategies, and patient outcomes through advanced engineering methods.

Award and Honor

Dr. Khodadadi has been recognized through numerous awards and honors that highlight his excellence in research, innovation, and mentorship. He has received multiple Best Researcher Awards at Azad University, including recognition at both departmental and institutional levels. His international visibility is reflected in honors such as Best Oral Presentation at the International Conference of Research in Europe and being a finalist for the Best Student Award at an IEEE international conference. He has also received recognition for supervising graduate theses with strong industrial impact, reflecting the practical value of his mentorship. His academic achievements include top rankings in national and Ph.D. entrance examinations, along with an Exceptional Talents Award early in his career. Furthermore, he earned the Best International Book Award at a university research festival, showcasing his contributions to scientific literature. Collectively, these accolades underscore his sustained contributions to advancing biomedical engineering, control systems, and healthcare-focused machine learning research.

Publication Top Notes

  • Title: Adaptive super-twisting non-singular terminal sliding mode control for tracking of quadrotor with bounded disturbances
    Authors: H. Ghadiri, M. Emami, H. Khodadadi
    Year: 2021
    Citations: 95

  • Title: Self-tuning PID controller design using fuzzy logic for half car active suspension system
    Authors: H. Khodadadi, H. Ghadiri
    Year: 2018
    Citations: 90

  • Title: Heart arrhythmia diagnosis based on the combination of morphological, frequency and nonlinear features of ECG signals and metaheuristic feature selection algorithm
    Authors: V. Mazaheri, H. Khodadadi
    Year: 2020
    Citations: 83

  • Title: Robust control and modeling a 2-DOF inertial stabilized platform
    Authors: H. Khodadadi, M.R.J. Motlagh, M. Gorji
    Year: 2011
    Citations: 78

  • Title: The Diagnosis of Attention Deficit Hyperactivity Disorder Using Nonlinear Analysis of the EEG Signal
    Authors: Y. Kiani, A.A. Rastegari, H. Khodadadi
    Year: 2019
    Citations: 72

  • Title: Human brain tumor diagnosis using the combination of the complexity measures and texture features through magnetic resonance image
    Authors: S. Salem Ghahfarrokhi, H. Khodadadi
    Year: 2020
    Citations: 54

  • Title: The effects of poplar bark and wood content on the mechanical properties of wood-polypropylene composites
    Authors: V. Safdari, H. Khodadadi, S.K. Hosseinihashemi, E. Ganjian
    Year: 2011
    Citations: 53

  • Title: Fuzzy logic self-tuning PID control for a single-link flexible joint robot manipulator in the presence of uncertainty
    Authors: A. Dehghani, H. Khodadadi
    Year: 2015
    Citations: 41

  • Title: Designing a Neuro-Fuzzy PID Controller Based on Smith Predictor for Heating System
    Authors: A. Dehghani, H. Khodadadi
    Year: 2017
    Citations: 35

  • Title: Malignant melanoma diagnosis applying a machine learning method based on the combination of nonlinear and texture features
    Authors: S. Salem Ghahfarrokhi, H. Khodadadi, H. Ghadiri, F. Fattahi
    Year: 2023
    Citations: 33

  • Title: Climate control of an agricultural greenhouse by using fuzzy logic self-tuning PID approach
    Authors: M. Heidari, H. Khodadadi
    Year: 2017
    Citations: 28

  • Title: Fuzzy Logic Self-tuning PID Controller Design Based on Smith Predictor for Heating System
    Authors: H. Khodadadi, A. Dehghani
    Year: 2016
    Citations: 25

  • Title: Fuzzy Logic Self-Tuning PID Controller Design for Ball Mill Grinding Circuits Using an Improved Disturbance Observer
    Authors: H. Khodadadi, H. Ghadiri
    Year: 2019
    Citations: 24

  • Title: Speed control of a DC motor using a fractional order sliding mode controller
    Authors: S. Heidarpoor, M. Tabatabaei, H. Khodadadi
    Year: 2017
    Citations: 23

  • Title: Emerging Technologies in Medicine: Artificial Intelligence, Robotics, and Medical Automation
    Authors: M. Rezaei, S. Saei, S.J. Khouzani, M.E. Rostami, M. Rahmannia, …
    Year: 2023
    Citations: 21

Conclusion

Dr. Hamed Khodadadi’s research contributions reflect a strong blend of theoretical innovation and practical application across biomedical engineering, control systems, and machine learning. His highly cited works demonstrate significant impact in fields such as disease diagnosis, biomedical signal and image processing, and intelligent control methods. The breadth of his publications, spanning healthcare applications, robotics, and industrial systems, highlights both versatility and depth. With consistent recognition through citations, patents, and international awards, his research not only advances academic knowledge but also addresses real-world medical and engineering challenges. Collectively, his achievements establish him as a leading researcher whose contributions are both impactful and enduring, making him a deserving candidate for prestigious recognition such as the Best Researcher Award.

María Inmaculada Mohino-Herranz | Artificial Intelligence| Best Research Article Award

Published on by World Top Scientists

Dr. María Inmaculada Mohino-Herranz | Artificial Intelligence| Best Research Article Award

Investigador, INTA, Spain

Inmaculada Mohíno Herranz is a distinguished researcher in the fields of signal processing, pattern recognition, and emotion detection. She currently works at the National Institute of Aerospace Technology (INTA), bringing her extensive expertise in physiological signal analysis to the forefront of innovative research. 🌟 Her career reflects a commitment to advancing technology and science, contributing to both academia and industry.

Publication profile

Scopus

Education

Inmaculada holds an impressive academic background, beginning with her M.Eng. in Telecommunication Engineering (2010), followed by a second degree in Electronics Engineering (2012), and a Master’s degree in Information and Communication Technologies (2015). 📚 She culminated her academic journey with a Ph.D. in Information and Communication Technologies (2017, with honors) from the University of Alcalá, Madrid, Spain. 🎓

Experience

She has built a solid career in academia and research, having worked at the Signal Theory and Communications Department of the University of Alcalá, where she was part of the Applied Signal Processing research group until 2021. 📡 Currently, she continues her research at INTA, contributing to projects related to aerospace technology. She has also been actively involved in supervising final degree and master’s projects, shaping future innovators. 👩‍🏫

Research Focus

Inmaculada’s research revolves around physiological signal processing, pattern recognition, emotion recognition, and stress detection. 💡 Her work is especially significant in understanding how physiological data can be used to monitor emotional states, which has applications ranging from healthcare to technology-enhanced well-being. 💻

Awards and Honors

Inmaculada has received recognition for her outstanding contributions to the field of Information and Communication Technologies, including supervising several successful degree projects and participating in numerous public and private-funded research initiatives. 🏆 Her efforts in academic and industrial projects further solidify her reputation as a leading researcher.

Publication Top Notes

Inmaculada Mohíno Herranz has authored various impactful papers. She has published nine journal papers, six of which are indexed in the Journal Citation Report. 📄 She has also written a book chapter and around 20 conference papers, showcasing her active engagement in research dissemination.

Metrological analysis on measuring techniques used to determine solubility of solids in supercritical carbon dioxide – Published in Measurement: Journal of the International Measurement Confederation (2025), this article has no citations yet.

Initializing the weights of a multilayer perceptron for activity and emotion recognition – Published in Expert Systems with Applications (2024), this article has no citations yet.

Introducing the ReaLISED Dataset for Sound Event Classification – Published in Electronics (2022), cited by two articles.

Linear detector and neural networks in cascade for voice activity detection in hearing aids – Published in Applied Acoustics (2021), cited by one article.

A wrapper feature selection algorithm: An emotional assessment using physiological recordings from wearable sensors – Published in Sensors (2020), this open-access article focuses on emotion assessment using physiological data from wearable sensors.