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Thierry Edoh
RFW-University of Bonn
Bonn, Germany
 

Thierry Edoh is an associate researcher at the University of Bonn (Germany), a visiting associate lecturer in the Department of Pharmacy at the Institute of Mathematics and Physics (IMSP)--University Abomey-Calavi, (Benin-Africa), a visiting lecturer at IUT Lokossa (Benin-Africa), and an associate researcher at the Technical University of Munich (Germany) in the Department of Applied Software Engineering.

He received his diploma in computer sciences from the Technical University of Munich in Germany and holds a PhD from the German Federal Army University, where he worked for several years on the improvement of rural healthcare provisions and access to healthcare in developing countries using ITC systems. He was an award winner at the 1st International Health Informatics Conference (IHI) in Washington in 2010 and in 2013 at the AFRINIC Conference in Indonesia.

He performed postdoctoral research work at the University of Bonn (Germany) in the Department of Pharmacy. His research interests are mobile computing, pervasive health and health informatics, telehealth, and IoT in medical applications. He is an expert in telemedicine/telehealthcare, health informatics, and bioinformatics. He also works on information systems for drug regulatory affairs.

He has led several telemedicine projects in Africa, Ireland, and Germany, and works with many European, American, African, and Asian universities.

He is an editorial board member for the Internet Technology Letters journal and an advisory board member and speaker for the Internet Of Things Community (IOTC), and an editorial board member for the publisher EnPress.

He also serves as a reviewer for several journals.


     

Artificial intelligence in business management
Teoh T., Goh Y., Springer International Publishing, Singapore, 2023. 383 pp.  Type: Book (9789819945573)

As artificial intelligence (AI) gains momentum there are both growing concerns such as deepfakes and advantages such as the high availability of virtual agents, consistent results, increased productivity, and so on. AI programs imitate human cogni...

 

Block Walsh-Hadamard transform based binary layers in deep neural networks
Pan H., Badawi D., Cetin A. ACM Transactions on Embedded Computing Systems 1(1): 1-26, 2022.  Type: Article

Convolution is a mathematical operation that calculates the integral of the product of two functions or signals with one of the signals flipped. Modern deep neural networks consider convolution as the core operation; it is a technique for function...

 

On the epistemology of data science: conceptual tools for a new inductivism
Pietsch W., Springer International Publishing, Cham, Switzerland, 2022. 548 pp.  Type: Book (978-3-030864-41-5)

This book discusses the fundamental theory of data science, including its methods, validity, and scope. The author introduces and addresses key concepts of data science as an inductive methodology, in an appropriate order, in order to guide scient...

 

Data-centric business and applications: evolvements in business information processing and management (vol. 2)
Kryvinska N., Gregus M., Springer International Publishing, New York, NY, 2020. 476 pp.  Type: Book (978-3-030190-68-2)

Data-centric business and applications are successful because they are based on historical, real-time, and predictive data, which provide insight into the behavior and minds of customers, users, and managers. They also help to identify...

 

 Leveraging data science for global health
Celi L., Majumdar M., Ordonez P., Osorio J., Paik K., Somai M., Springer, Switzerland, 2020. 646 pp.  Type: Book (978-3-030479-93-0)

Medical care is becoming increasingly personalized based on individual patient data. Data science is one enabler of this medical practice. For example, data science techniques are being integrated into healthcare applications, such as ...

 
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