PhD | MSc | BEng | COREN | MNSE | MNCS | MIEEE | MIET
Dr Segun Aina is a consultant and a researcher with a keen interest in technology, education, problem solving and development. He is enthusiastic, dynamic, hardworking and able to work effectively individually or as part of a team. He is also able to learn quickly and analytical thinking/problem solving come easily to me.
Dr Segun Aina thrives on success so he is result-driven and always inspired by new challenges.
Dr Segun Aina is a consultant and a researcher with a keen interest in technology, education, problem solving and development. He is enthusiastic, dynamic, hardworking and able to work effectively individually or as part of a team. He is also able to learn quickly and analytical thinking/problem solving come easily to me.
Dr Segun Aina thrives on success so he is result-driven and always inspired by new challenges.
Duration: February 2021 – Till Date
Summary of Duties:
Duration: October 2019 – Till Date
Summary of Duties:
Courses Taught within current academic session
Duration: May 2016 – October 2019
Summary of Duties:
Courses Taught within current academic session;
Coli, O. G., Aina, S., Okegbile, S. D., Lawal, A. R., and Oluwaranti, A. I. (2022). Distributed Denial of Service Attacks Detection in Internet of Things using Deep Gaussian-Bernoulli Restricted Boltzmann Machine. Journal of Modern Applied Science (MAS), 16(2), 12–22.
Aina, S., Adewuyi, S. A., Amuchi, C. D., and Oluwaranti, A. I. (2021). Unsupervised Deep Architecture for Forecast of a Tropical Electricity Load. European – American Journals (EAJ).
Adeniji, M. O., Aina, S., Lawal, A. R., and Oluwaranti, A. I. (2022). Development of a Convolutional Neural Network – based Ethnicity Classification Model from Facial Images. Journal of Modern Applied Science (MAS).
Aina, S. (2008). Automatic Speech Segmentation, B.Eng. Project, Department of Electronics, University of Kent, UK.
Aina, S. (2009). A Comparative Study of e-commerce Security between Developing IT Societies and Developed IT Societies; using Nigeria and the United Kingdom as Case Studies, M.Sc. Dissertation, Department of Computer Science, Loughborough University, UK.
Aina, S. (2015). Loughborough University Spontaneous Expression Database and Baseline Results for Automatic Emotion Recognition, PhD Thesis, Electrical and Electronics Engineering Department, Loughborough University, UK.
Okegbile, S. D., Aina, S. and Ogunleye G.K. (2017). An Improved and Cost-Effective Radio Frequency based Object Detection System. International Journal of Computer Applications 174(5):33-39.
Lawal, A., Aina, S., Okegbile, S., Oluwaranti, A., Ayeni, S., Omole, D. (2017). Palm Vein Recognition System Based on Derived Pattern and Feature Vectors. International Journal of Digital Literacy and Digital Competence. 8(2).
Okegbile S., Oluwaranti A. and Aina S. (2018). On evaluating the efficacy of Predictive Models for Cognitive Radio Spectrum availability in Nigeria. Wireless Engineering and Technology, 9, 49-65.
Okegbile, S.D., Makanjuola, P., Aina, S. and Oluwaranti, A. (2018). An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System. International Journal of Ambient Computing and Intelligence IJACI, 10(2).
Aina, S., Rahulamathavan, Y, Phan, R. C.-W. and Chambers, J. A., “Spontaneous Expression Classification in the Encrypted Domain,” Institute of Mathematics and its Applications IMA 2012, Birmingham, UK arXiv preprint arXiv:1403.3602, 2012.
Aina, S., Phan, R. C.-W. and Chambers, J. A., “Robust Spontaneous Facial Expression Recognition using Sparse Representation,” in IET Intelligent Signal Processing Conference (ISP) Proceedings, 2013, Pages 7.10–7.14
Aina, S., Zhou, M., Chambers, J. A., and Phan, R. C.-W., “A New Spontaneous Expression Database and a Study of Classification-based Expression Analysis Methods,” Proceedings of 22nd European Signal Processing Conference, Pages 2505–2509, 2014.
Coli, O. G., Aina, S., Okegbile, S. D., Lawal, A. R., and Oluwaranti, A. I. (2021). Distributed Denial of Service Attacks Detection in Internet of Things using Deep Gaussian-Bernoulli Restricted Boltzmann Machine. (Submitted to Journal of Wireless Personal Communications for Publications).
Aina, S., Asamu, D. O., Okegbile, S. D., Lawal, A. R., and Oluwaranti, A. I. (2021). Development of an Ethnic Classification Model Based on Traditional Attires. (Submitted to Computer Science Journal for Publication).
Aina, S., Adewuyi, S. A., Amuchi, C. D., and Oluwaranti, A. I. (2021). An Unsupervised Deep Architecture for Forecast of a Tropical Electricity Load. (Submitted to Journal of Computer Science and Information Systems).
Aina, S. (2008). Automatic Speech Segmentation, B.Eng. Project, Department of Electronics, University of Kent, UK.
Aina, S. (2009). A Comparative Study of e-commerce Security between Developing IT Societies and Developed IT Societies; using Nigeria and the United Kingdom as Case Studies, M.Sc. Dissertation, Department of Computer Science, Loughborough University, UK.
Aina, S. (2015). Loughborough University Spontaneous Expression Database and Baseline Results for Automatic Emotion Recognition, PhD Thesis, Electrical and Electronics Engineering Department, Loughborough University, UK.
Okegbile, S. D., Aina, S. and Ogunleye G.K. (2017). An Improved and Cost-Effective Radio Frequency based Object Detection System. International Journal of Computer Applications 174(5):33-39.
Lawal, A., Aina, S., Okegbile, S., Oluwaranti, A., Ayeni, S., Omole, D. (2017). Palm Vein Recognition System Based on Derived Pattern and Feature Vectors. International Journal of Digital Literacy and Digital Competence. 8(2).
Okegbile S., Oluwaranti A. and Aina S. (2018). On evaluating the efficacy of Predictive Models for Cognitive Radio Spectrum availability in Nigeria. Wireless Engineering and Technology, 9, 49-65.
Okegbile, S.D., Makanjuola, P., Aina, S. and Oluwaranti, A. (2018). An Architectural Framework for Facebook Messenger Chatbot Enabled Home Appliance Control System. International Journal of Ambient Computing and Intelligence IJACI, 10(2).
Aina, S., Rahulamathavan, Y, Phan, R. C.-W. and Chambers, J. A., “Spontaneous Expression Classification in the Encrypted Domain,” Institute of Mathematics and its Applications IMA 2012, Birmingham, UK arXiv preprint arXiv:1403.3602, 2012.
Aina, S., Phan, R. C.-W. and Chambers, J. A., “Robust Spontaneous Facial Expression Recognition using Sparse Representation,” in IET Intelligent Signal Processing Conference (ISP) Proceedings, 2013, Pages 7.10–7.14
Aina, S., Zhou, M., Chambers, J. A., and Phan, R. C.-W., “A New Spontaneous Expression Database and a Study of Classification-based Expression Analysis Methods,” Proceedings of 22nd European Signal Processing Conference, Pages 2505–2509, 2014.
Coli, O. G., Aina, S., Okegbile, S. D., Lawal, A. R., and Oluwaranti, A. I. (2021). Distributed Denial of Service Attacks Detection in Internet of Things using Deep Gaussian-Bernoulli Restricted Boltzmann Machine. (Submitted to Journal of Wireless Personal Communications for Publications).
Aina, S., Asamu, D. O., Okegbile, S. D., Lawal, A. R., and Oluwaranti, A. I. (2021). Development of an Ethnic Classification Model Based on Traditional Attires. (Submitted to Computer Science Journal for Publication).
Aina, S., Adewuyi, S. A., Amuchi, C. D., and Oluwaranti, A. I. (2021). An Unsupervised Deep Architecture for Forecast of a Tropical Electricity Load. (Submitted to Journal of Computer Science and Information Systems).
Pattern Recognition is the focus of the underlisted research activities. They are centred around analysing and modifying digital signals to improve their efficiency or performance towards the goal of enhancing the ability to detect arrangements or characteristics of data that yield information about a given system or data set.
You can contact Dr Segun Aina to schedule a meeting or for a discussion.
© 2020 All Rights reserved.