Dr Eseosa Oshodin

Job: Part-time Lecturer in Games, Maths & Intelligent Systems

Faculty: Technology

School/department: School of Computer Science and Informatics

Research group(s): Centre for Computational Intelligence

Address: De Montfort University, The Gateway, Leicester, LE1 9BH, United Kingdom

T: N/A

E: eseosa.oshodin@dmu.ac.uk

W: dmu.ac.uk/cci

 

Personal profile

Eseosa Oshodin received his B.Eng degree in Electrical /Electronics Engineering from Madonna University (Nigeria), his M.Sc degree in Information Systems from University of Aberdeen (Scotland) and his PhD in Intelligent Systems from De Montfort University (Leicester) .

Eseosa has a strong passion in helping others including students who require to obtain knowledge from Higher education. He has being teaching in DMU for over 4 years and he believes that his research will contribute to the area of teaching. He also wishes to continue his research along with teaching and publish more papers under Artificial Intelligence research.

Research group affiliations

Centre for Computational Intelligence (CCI) 

Publications and outputs 

  • Effect of Influential Users on Recommendation   :  Oshodin, E. and Chiclana, F., 2015. Effect of Influential Users on Recommendation.  In Proceedings of the SAI Intelligent Systems Conference 2015. IEEE Xplore.
  • Social Trust in a Familiar Communty  :  Oshodin, E., Chiclana, F. and Ahmadi, S., 2015. Social Trust in a Familiar Community. In Research and Development in Intelligent Systems XXXII (pp. 119-132). Springer International Publishing.

Research interests/expertise

My research interest lies on areas under Artificial Intelligence (AI) which involves the simulation of human intelligence by machines (systems). One main type of the simulation by machines (systems) involves the acquisition and comprehension of information (Data) to make accurate decision. The following are areas where my research under AI focuses on: 

  • Intelligent Systems
  • Knowledge based system
  • Decision support system
  • Influnce Theory
  • Social Trust
  • Social Network
  • Recommender System

Areas of teaching

  • Data Structure & Algorithm
  • Mathematics for Computing

Qualifications

  1. BEng (Hons) degree in Electrical/Electronics Engineering
  2. MSc degree in Information Systems
  3. PhD in Intelligent Systems

Courses taught

  1. BSc (Hons) Computer Science
  2. BSc (Hons) Software Engineering

Membership of professional associations and societies

  1. Institute of Electrical and Electronics Engineer (IEEE)
  2. British Computer Society (BCS)
Eseosa-Oshodin

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