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Edoh, Thierry
RFW-University of Bonn
Bonn, Germany
 
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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.

 
 
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- 3 of 3 reviews

   
   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 ...

Mar 24 2022  
   Large group decision making: creating decision support approaches at scale
Carrascosa I., Springer International Publishing, New York, NY, 2018. 140 pp.  Type: Book (978-3-030010-26-3)

Decision making is a daily task with which everyone is familiar. People make decisions all the time, for example, by going to work in the morning, deciding what to eat, and so on. We are constantly faced with situations where we need t...

Oct 16 2019  
   A scalable parallel genetic algorithm for the generalized assignment problem
Liu Y., Wang S. Parallel Computing 46(C): 98-119, 2015.  Type: Article, Reviews: (1 of 2)

NP problems remain unresolved and thus are still open. Many approaches have been developed to resolve them, some of which use parallel DNA computing or parallel computing in calculating large amounts of tasks in less than a moment. A p...

Oct 21 2015  
 
 
   
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