51³Ô¹Ïapp

Dr Eseosa Oshodin

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

Faculty: Computing, Engineering and Media

School/department: School of Computer Science and Informatics

Research group(s): Centre for Computational Intelligence

Address: De 51³Ô¹Ïapp University, The Gateway, Leicester, LE1 9BH, United Kingdom

T: N/A

E: eseosa.oshodin@dmu.ac.uk

 

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 51³Ô¹Ïapp 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 51³Ô¹Ïapp 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

  •   :  Oshodin, E. and Chiclana, F., 2015. Effect of Influential Users on Recommendation.  In Proceedings of the SAI Intelligent Systems Conference 2015. IEEE Xplore.
  •   :  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
  • Influence Theory
  • Social Trust
  • Social Network
  • Recommender System

Areas of teaching

  • Data Structure & Algorithm
  • Advanced Programming using C#

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