Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award

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Dr. Abu Sarwar Zamani | AI in Healthcare | Best Researcher Award 

Asst. Professor | Prince Sattam bin Abdulaziz University | Saudi Arabia

Dr. Abu Sarwar Zamani is a dedicated and disciplined academic and research professional with over 15 years of experience. Specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Data Mining, and the Internet of Things (IoT), he has made significant contributions in both the academic and research fields. His teaching focuses on core computer science subjects, with a particular interest in the integration of emerging technologies such as AI and IoT. His professional journey reflects a passion for knowledge sharing and innovative research, contributing to scientific advancements in computer science and technology. Currently, he serves as an Assistant Professor at Prince Sattam Bin Abdulaziz University, Saudi Arabia, while also working as a Post-Doctoral Fellow at the International Islamic University Malaysia.

Profile

Scholar

Education

Dr. Zamani’s academic foundation includes a Ph.D. in Computer Science from the Pacific Academy of Higher Education and Research University, Udaipur, India, earned in 2019. Prior to his doctorate, he completed a Master of Philosophy in Computer Science (2009) from Vinayak Mission University, Chennai, and a Master of Science in Computer Science (2007) from Jamia Hamdard, New Delhi. His undergraduate studies were in Computer Applications at MCRP, Bhopal, India (2002). This extensive academic background, paired with his continuous pursuit of knowledge, has laid the foundation for his research contributions and teaching success.

Experience

Dr. Zamani has held various academic positions throughout his career. He is currently an Assistant Professor in the Department of Computer Science at Prince Sattam Bin Abdulaziz University in Saudi Arabia, a position he has held since August 2020. In addition to his teaching role, Dr. Zamani serves as a Post-Doctoral Fellow at the International Islamic University Malaysia, where he has been engaged in advanced research since July 2022. Prior to these positions, he worked as a Senior Lecturer at Shaqra University in Saudi Arabia from 2010 to 2016 and as a Lecturer at King Saud University in Riyadh (2009-2010). His academic career began as a Lecturer at Ibne Seena Pharmacy College in India (2007-2009). Over the years, Dr. Zamani has contributed significantly to both the academic and administrative frameworks of these institutions, including curriculum development and research committees.

Research Interests

Dr. Zamani’s research interests lie primarily in AI, ML, Deep Learning, Data Mining, IoT, and their applications in various domains. His work focuses on leveraging machine learning techniques to develop predictive models for healthcare, cybersecurity, and educational services. He has also researched IoT-based systems, contributing to advancements in real-time data analytics for improved decision-making and optimization of resources. His research has garnered attention in areas like automated disease detection, smart health monitoring, and the design of secure and efficient systems for IoT networks.

Awards

Dr. Zamani’s contributions have been recognized both nationally and internationally. He has been granted three international patents from India and Australia, further solidifying his standing as an innovator in the fields of machine learning and IoT-based systems. His patents cover key areas such as machine learning-based prediction systems for heart disease and systems for improving educational services. In addition to his patents, he has served as an academic reviewer for prestigious journals such as Elsevier, Springer, MDPI, and Taylor & Francis.

Publications

Dr. Zamani has published more than 100 papers in SCI, PubMed, and Scopus-indexed journals, as well as two conference papers. Some of his significant publications include:

Zamani, A. S., et al. “Implementation of machine learning techniques with big data and IoT to create effective prediction models for health informatics.” Biomedical Signal Processing and Control, 2024, Elsevier, DOI: 10.1016/j.bspc.2024.106247.

Zamani, A. S., et al. “The Prediction of Sleep Quality using Wearable-assisted Smart Health Monitoring System based on Statistical Data.” Journal of King Saud University-Science, 2023, Elsevier, DOI: 10.1016/j.jksus.2023.102927.

Zamani, A. S., et al. “Machine Learning Techniques for Automated and Early Detection of Brain Tumor.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.711.

Zamani, A. S., et al. “Cloud Network Design and Requirements for the Virtualization System for IoT Networks.” International Journal of Computer Science and Network Security, 2022, DOI: 10.22937/IJCSNS.2022.22.11.101.

Zamani, A. S., et al. “Towards Applicability of Information Communication Technologies in Automated Disease Detection.” International Journal of Next-Generation Computing, 2022, Perpetual Innovation, DOI: 10.47164/ijngc.v13i3.705.

Akhtar, M. M., Zamani, A. S., et al. “Stock Market Prediction Based on Statistical Data Using Machine Learning Algorithm.” Journal of King Saud University-Science, 2022, Elsevier, DOI: 10.1016/j.jksus.2022.101940.

Prasad, V. D. P., Zamani, A. S., et al. “Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis.” Security and Communication Networks, 2022, Hindawi, DOI: 10.1155/2022/1918379.

Conclusion

Dr. Abu Sarwar Zamani’s career has been marked by a steadfast commitment to advancing knowledge in computer science, particularly in the domains of AI, ML, and IoT. His extensive experience in both teaching and research has made him a key figure in these fields, with numerous published works and patents to his name. As a dedicated educator and researcher, Dr. Zamani continues to make valuable contributions to the academic community and industry, with a focus on developing innovative solutions for healthcare, cybersecurity, and education. His work exemplifies the intersection of technology and human well-being, ensuring that his research has a lasting impact on society.

Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

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Dr. Andreia de Bem Machado | AI in Healthcare | Best Researcher Award

Professor | Federal University of Santa Catarina| Brazil

Andreia de Bem Machado is a teacher, researcher, educational consultant, and academic work supervisor based in Santa Catarina, Brazil. With over 25 years of experience in the education sector, her academic journey is highlighted by a PhD in Engineering and Knowledge Management from the Federal University of Santa Catarina (UFSC), a Master’s in Scientific and Technological Education from the same institution, and a specialization in Literacy. She has been involved in diverse educational fields, including distance education, hybrid teaching, digital technologies, and knowledge management. She has held positions in universities, schools, and research institutions, contributing to educational innovation and policy development. As an expert in these areas, she has also published several articles and chapters in national and international journals.

Profile

Scopus

Education

Andreia de Bem Machado’s educational qualifications reflect her extensive expertise in education and knowledge management. She holds a PhD in Engineering and Knowledge Management from UFSC (2014–2018), with a focus on entrepreneurship, administration, and innovation. Prior to this, she completed a Master’s degree in Scientific and Technological Education at UFSC (2005–2007), further specializing in literacy through a post-graduate program at Santa Catarina State University (1994–1996). Her undergraduate degree in Pedagogy was also from Santa Catarina State University, where she graduated in 1994. These academic credentials have provided her with the theoretical foundation to pursue and contribute to research and education in a variety of academic and professional settings.

Experience

Dr. Andreia de Bem Machado has held numerous teaching and administrative roles throughout her career. Currently, she serves as the Director of Education at the Palhoça Municipal Department of Education in Brazil. She also holds positions as a Special Education Advisor and a professor in Pedagogy and Engineering courses at various educational institutions, including Faculdade Municipal da Palhoça and Faculdade do Vale. Additionally, she works as an evaluator for the National Institute for Educational Studies and Research (INEP), and her academic experience spans multiple universities such as the Federal University of Santa Catarina (UFSC) and Leonardo da Vinci University Center. Furthermore, Andreia has contributed to international education through her role as an evaluator for the Ministry of Education in Portugal and a consultant for UNESCO in special education materials. Her diverse experience emphasizes her dedication to educational excellence and innovation across local and global contexts.

Research Interests

Andreia’s primary research interests lie at the intersection of education, technology, and management. She has a deep focus on distance education, hybrid teaching models, and the integration of digital technologies into educational practices. Additionally, her research explores the concept of knowledge management, with applications in business administration and entrepreneurship. She is particularly interested in how digital tools and active learning methodologies can foster sustainable education and contribute to the development of innovative educational environments. Her work also delves into special education, specifically in creating inclusive learning environments for students with visual impairments. Andreia has collaborated with various research groups, including the Center for Studies in Intelligence, Management, and Technologies for Innovation (IGTI), to further explore these topics.

Awards

Throughout her career, Dr. Andreia de Bem Machado has received various accolades for her contributions to education. Notably, she was recognized with the Student Merit Award during her academic tenure. This acknowledgment reflects her academic excellence and her ongoing commitment to improving education, particularly in the domains of special education and distance learning. She also participated in multiple training and certification programs that have reinforced her expertise, such as courses on educational technologies, school management, and innovative teaching practices.

Publications

Dr. Andreia de Bem Machado has authored several significant publications in the fields of education, knowledge management, and technology. Her contributions include book chapters and journal articles in both national and international academic forums. A few of her selected publications include:

  1. Machado, A. de B. (2022). Digital Learning as an Educational Format towards Sustainable Education. Journal of Education and Technology, 28(1), 45–60.
  2. Machado, A. de B. (2021). Innovative Learning Methods for Distance Education. International Journal of Educational Innovations, 22(3), 134–150.
  3. Machado, A. de B., & Souza, M. (2020). Hybrid Teaching Models in Higher Education: Challenges and Opportunities. Journal of Educational Research, 45(2), 78–92.
  4. Machado, A. de B. (2019). Inclusive Education for Students with Visual Impairments: Approaches and Solutions. International Journal of Special Education, 18(4), 210–220.

Her work has been widely cited by scholars in educational research, with numerous articles examining the integration of technology in education and innovative teaching strategies. These contributions continue to influence academic thought in her field.

Conclusion

Dr. Andreia de Bem Machado’s multifaceted career underscores her dedication to advancing education through innovative practices and research. Her academic qualifications, coupled with extensive experience in various educational roles, allow her to be a leader in both the theoretical and practical realms of education. She has significantly contributed to the improvement of education systems through her involvement in distance learning, hybrid teaching, and special education. Her continued research and publications in knowledge management and educational technologies emphasize her position as a thought leader in the field, shaping the future of education in Brazil and beyond.