Thomas Gyeera

faculty

Thomas Gyeera

Assistant Teaching Professor

Computer & Information Science

508-910-6697

508-999-9144

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Dion 303B

Education

2019The University of SheffieldPhD in Computer Science
2014Sheffield Hallam UniversityMS in Computer & Network Engineering
2005University of DuisburgBSc in Computer Science & Communications Engine

Teaching

  • Advanced Data Mining and Knowledge Discovery
  • Objected Oriented Programming
  • Artificial Intelligence, Machine Learning, and Deep Learning
  • Computer Networks
  • Cloud Computing

Teaching

Programs

Teaching

Online and Continuing Education Courses

Coverage of advanced topics of data mining and its applications. The course will review related mathematics and then focus on data mining core algorithms and advanced modeling including regression, dimensionality reduction, support vector machines, clustering, graph theory, and frequent pattern mining. The course will also explore several real-world problems and discuss strategies for large-scale data. Requires pre-knowledge from an undergraduate course on algorithms and data structures.

Coverage of advanced topics of data mining and its applications. The course will review related mathematics and then focus on data mining core algorithms and advanced modeling including regression, dimensionality reduction, support vector machines, clustering, graph theory, and frequent pattern mining. The course will also explore several real-world problems and discuss strategies for large-scale data. Requires pre-knowledge from an undergraduate course on algorithms and data structures.

Research

Research activities

  • Artificial intelligence, machine learning, and deep learning
  • Cloud/fog/edge computing
  • Transformers, transfer learning, meta-learning, recurrent independent mechanisms
  • Adaptive Filtering

Research

Research interests

  • Artificial intelligence, machine learning, and deep learning
  • Cybersecurity
  • Cloud/fog/edge computing/IoT and autonomous computing
  • Transformers, transfer learning, meta-learning, recurrent independent mechanisms

Select publications

Thomas Weripuo Gyeera is an Assistant Professor at the University of Massachusetts Dartmouth. He received a PhD degree in computer science from the University of Sheffield UK in 2019 and an MS in computer and network engineering with distinction from Sheffield Hallam University, UK in 2014. He received a BSc degree in computer science and communications engineering from the University of Duisburg in 2005. He has worked for Thales Group and Ford motor company as an application development engineer. He has been working on using machine learning and adaptive algorithms for proactive cloud computing resources monitoring and adaptation. His major interests and work are in AI, Deep and Machine learning, cloud computing, application development, network engineering and Big Data.