Annalisa Barsotti | Telemedicine | Best Researcher Award

Published on by Awards and Recognitions

Assist. Prof. Dr. Annalisa Barsotti | Telemedicine | Best Researcher Award

Assist. Prof. Dr. Annalisa Barsotti | Telemedicine | Researcher Assistant at Scuola Superiore Sant’Anna | Italy

Assist. Prof. Dr Annalisa Barsotti is an accomplished academic and researcher in the fields of Artificial Intelligence, Machine Learning, Causal Inference, and Data Management. With her interdisciplinary expertise, she has advanced computational methods that link human neural and muscular activities with adaptive technologies. Her scholarly work bridges neuroscience, data analytics, and intelligent systems, establishing her as a rising leader in digital innovation and biomedical informatics. She is widely recognized for her contributions to signal processing, causal discovery frameworks, and cross-domain transfer learning that address real-world clinical and industrial challenges.

Academic Profile:

ORCID

Scopus

Google Scholar

Education:

Dr Barsotti has pursued rigorous academic training in computer science and applied machine learning, culminating in a doctoral degree focused on predictive analytics and causal modeling. Her academic path has been strengthened by advanced studies in leading European institutions, where she developed specialization in EEG/EMG signal synchronization and human-computer interaction systems. Her education provided the foundation for integrating computational intelligence with neuroscience, a theme that continues to define her research trajectory.

Experience:

Currently serving as Assistant Professor at Scuola Superiore Sant’Anna, Dr Barsotti has contributed to cutting-edge projects involving clinical brain-body imaging, data-driven health monitoring, and digital transformation in telecommunication domains. Her collaborative engagements span multidisciplinary teams, including biomedical engineers, neuroscientists, and computer scientists, with whom she has delivered impactful research outcomes. She has also presented her work in major international conferences under IEEE and other reputed platforms, highlighting her global presence in the research community. Alongside academic contributions, she has been actively involved in mentoring graduate students, guiding them in experimental design, data analysis, and the responsible application of AI technologies.

Research Interest:

Her research interests encompass artificial intelligence applications in health, causal inference for complex systems, machine learning algorithms for predictive modeling, and transfer learning under partial information frameworks. She has worked extensively on integrating EEG and EMG signals to enhance neuroadaptive technologies, applied machine learning techniques for clinical diagnostics, and conducted domain-specific studies in telecommunications churn prediction. By blending causal discovery with data management, her research addresses both the theoretical depth and applied value of AI systems in contemporary digital transformation.

Awards:

Dr Barsotti’s contributions have been recognized through invitations to contribute in international conferences and collaborations across leading research institutions. Her work has drawn significant academic attention, with her highly cited papers being used by peers in neuroscience, biomedical engineering, and AI. Her inclusion in Scopus and Google Scholar metrics demonstrates the global recognition of her impact, with a growing citation record and a steadily increasing h-index.

Selected Publications:

  • Effective synchronization of EEG and EMG for mobile brain/body imaging in clinical settings (2018) – 43 citations

  • Muscle fatigue evaluation with EMG and acceleration data: a case study (2020) – 13 citations

  • A decade of churn prediction techniques in the telco domain: a survey (2024) – 6 citations

  • Heterogeneous transfer learning from a partial information decomposition perspective (2023) – 1 citation

Conclusion:

Assist. Prof. Dr Annalisa Barsotti exemplifies the qualities of a scholar dedicated to both research excellence and societal progress. Her impactful publications, growing citation metrics, and collaborative engagements demonstrate her capability to shape the future of AI, machine learning, and biomedical data analytics. By contributing to both applied and theoretical domains, she has built a foundation that promises sustained leadership in academic and professional communities. With her demonstrated commitment to innovation and global collaboration, she is a deserving nominee for research awards and recognition platforms, representing the potential to advance the next generation of AI-driven solutions for society.

 

 

Dr. Dina Tbaishat | Digital Health | Best Researcher Award

Published on by Awards and Recognitions

Dr. Dina Tbaishat | Digital Health | Best Researcher Award

Dr. Dina Tbaishat | Digital Health – Assistant Professor at Zayed University, United Arab Emirates

Dr. Dina M. Tbaishat is an Associate Professor of Management Information Systems at the University of Jordan, renowned for her interdisciplinary research and commitment to academic excellence. Her work bridges the domains of education, health informatics, and information systems, with a focus on leveraging technology to solve real-world problems. As an educator, researcher, and mentor, she continues to inspire both students and colleagues with her innovative thinking and impactful contributions.

Profile:

Orcid | Scopus

🎓 Education:

Dr. Tbaishat earned her Ph.D. in Computer Science from Brunel University London in 2013. Prior to her doctoral studies, she obtained her Master’s degree in Computer Information Systems from the University of Jordan in 2006, following her Bachelor’s degree in the same field in 2003. Her academic journey has been characterized by a passion for research, a dedication to interdisciplinary knowledge, and a consistent pursuit of excellence.

👩‍🏫 Experience:

With over a decade of academic experience, Dr. Tbaishat has served in various capacities at the University of Jordan, progressing from Assistant to Associate Professor. She has also contributed to curriculum development, served on numerous academic committees, and mentored undergraduate and graduate students. Her international experience, including collaborative projects with scholars across the UK and the Middle East, has enriched her teaching philosophy and broadened her research perspective.

🔬 Research Interests:

Dr. Tbaishat’s research spans a range of interdisciplinary areas including health informatics, learning analytics, knowledge management, and human-computer interaction. She is particularly interested in the integration of ICT in education and healthcare, with recent studies exploring digital transformation in higher education and the usability of electronic health systems. Her work often combines empirical data analysis with qualitative inquiry to deliver meaningful insights.

🏆 Awards and Recognition:

Throughout her career, Dr. Tbaishat has been recognized for her academic excellence and research impact. She has received multiple research grants and awards for innovation in teaching and contributions to the field of information systems. Her work has been cited in numerous international journals and conferences, further highlighting her influence on the academic community.

📚 Selected Publications:

Dr. Tbaishat has authored and co-authored several peer-reviewed articles and conference papers. Some notable examples include:

  • Tbaishat, D. (2022). Usability evaluation of an electronic health record system: a case study from Jordan. Journal of Biomedical Informatics, 128, 104035. 🏥
  • iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19
  • Tbaishat, D. (2020). Investigating the role of learning analytics in improving student performance. Computers & Education, 149, 103828. 📈
    Her publications reflect a deep engagement with pressing technological challenges and a dedication to practical, research-based solutions.

🌟 Conclusion:

Dr. Dina M. Tbaishat is a dynamic scholar whose contributions to management information systems, education, and health informatics have made a lasting impact. Her work embodies the intersection of technology and society, aiming to create smarter, more efficient, and more inclusive systems. With a career marked by integrity, innovation, and service, Dr. Tbaishat is a true asset to the academic community and an outstanding candidate for this prestigious recognition.