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 10/09/202510/09/2025 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.

Bushra Naz | Deep learning | Best Researcher Award

Published on 09/09/202509/09/2025 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.

Hamed Khodadadi | Artificial Intelligence | Best Researcher Award

Published on 22/08/202522/08/2025 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.

Mian Usman Sattar | Artificial Intelligence | Best Researcher Award

Published on 13/08/202513/08/2025 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.

Rishabh Anand | Computer Science | Best Researcher Award

Published on 26/02/202526/02/2025 by World Top Scientists

Dr. Rishabh Anand | Computer Science | Best Researcher Award

Associate Vice President at India

Dr. Rishabh Anand is a distinguished professional with over 19 years of experience spanning technology, business management, and academia. His expertise lies in program and delivery management, strategic leadership, and digital transformation, with a strong foundation in IT and education. As a thought leader, he has successfully integrated academic theories with real-world business applications, fostering innovation and excellence. His global experience across the USA, UK, India, Denmark, France, the Middle East, and ASEAN has given him a unique perspective on technology and business evolution. Dr. Anand is known for his mentorship and coaching abilities, shaping the next generation of professionals and students through his academic and industry engagements. His ability to drive strategic initiatives, coupled with his passion for education and research, has positioned him as a leader in the fields of artificial intelligence, machine learning, and digital transformation.

Professional Profile

ORCID Profile

Education

Dr. Rishabh Anand has an impressive academic background with multiple degrees spanning technology, management, and psychology. He earned his B.E. in Electronics and Communication Engineering from Dronacharya College of Engineering, MDU, in 2006. His passion for advanced technical research led him to pursue an M.Tech in Electronics and Communication Engineering from the Indian Institute of Technology (IIT), Delhi, in 2010. Expanding his expertise into business and finance, he completed an MBA in Finance from New York University (NYU) in 2014. Understanding the significance of human behavior in technology and business, he pursued an MS in Psychology from the University of Texas at Dallas in 2016. His dedication to research culminated in a Ph.D. in Computer Science from the University of Bristol, UK, in 2020. Further solidifying his expertise, he completed a dual postdoctoral degree in Artificial Intelligence and Machine Learning from São Paulo State University, Brazil, in 2024.

Professional Experience

Dr. Anand has an extensive professional career, demonstrating expertise in global technology, business strategy, and academic leadership. He has been a key figure at Google India Private Limited since 2006, leading strategic initiatives, managing multi-million-dollar IT projects, and driving digital transformation across various industries. As a Program and Delivery Manager, he has played a pivotal role in managing large-scale engineering teams, ensuring efficiency, innovation, and profitability. His work spans industries such as airlines, pharmaceuticals, financial services, FMCG, tourism, logistics, and technology. He has successfully transitioned over 350-400 roles globally, demonstrating his expertise in workforce transformation and leadership. In academia, he has mentored students and professionals, bridging the gap between theoretical learning and industry expectations. His extensive experience working with C-suite executives and leading digital initiatives has established him as a global thought leader in technology-driven business solutions.

Research Interest

Dr. Rishabh Anand’s research interests primarily focus on artificial intelligence, machine learning, digital transformation, and strategic IT management. His work revolves around integrating cutting-edge AI and ML technologies into business strategies to enhance efficiency, automation, and customer experience. He is deeply invested in enterprise IT strategies, cybersecurity, cloud computing, and predictive analytics, ensuring that businesses stay ahead in the digital era. His interest in digital transformation includes process automation, technology adoption in organizations, and data-driven decision-making frameworks. With his background in psychology, he also explores human-computer interaction, cognitive computing, and behavioral AI. Through his published case studies and academic collaborations, Dr. Anand continues to contribute valuable insights into how AI and digital solutions can drive innovation and economic growth. His research aims to bridge the gap between academia and industry, ensuring that emerging technologies align with real-world business challenges.

Awards and Honors

Dr. Rishabh Anand has received multiple awards and recognitions for his contributions to technology, research, and academia. He was recognized for his excellence in digital transformation and IT strategy at Google India, where he led high-impact projects, driving profitability and innovation. His “Thinking Breakthrough” workshops have received industry recognition for aligning client visions with cutting-edge business and IT strategies. As a dedicated mentor, he has been honored for his contributions to student career development and academic excellence. His research publications on AI, digital transformation, and strategic IT management have been acknowledged in international conferences and journals. Dr. Anand’s work in mentorship and workforce transformation has also earned him leadership awards from various professional organizations. With a stellar career spanning technology, business, and academia, he continues to be an influential figure in shaping the future of AI, machine learning, and enterprise IT solutions.

Conclusion

Dr. Rishabh Anand is a strong contender for the Best Researcher Award, given his significant contributions to research, industry-academia collaboration, and leadership in digital transformation. Strengthening his publication record and patents could further solidify his case as an outstanding researcher.

Publications Top Noted

Industry 4.0 Technologies

Author: Dr. Rishabh Anand (2025)
Publisher: S Chand and Company Ltd

Smart Factories for Industry 5.0 Transformation (Industry 5.0 Transformation Applications)

Authors: Dr. Rishabh Anand, R. Nidhya, Manish Kumar, S. Karthik, S. Balamurugan (2025)
Publisher: Wiley-Scrivener

Foundation Course in Universal Human Values and Professional Ethics

Author: Dr. Rishabh Anand (2025)
Publisher: CBS Publishers and Distributors Pvt. Ltd.

Blockchain Technology

Author: Dr. Rishabh Anand (2023)
Publisher: Khanna Publishers

Computer Organization and Architecture (Designing for Performance)

Authors: Dr. Rishabh Anand, R.S. Salaria (2023)
Publisher: Khanna Publishers

Digital Signal Processing: An Introduction

Author: Dr. Rishabh Anand (2022)
Publisher: Mercury Learning & Information

Wireless Communication

Author: Dr. Rishabh Anand (2022)
Publisher: S Chand And Company Ltd

An Integrated Approach to Software Engineering