Dr. Mohammed Nurudeen
Lecturer
Faculty: I.T. & Communication Studies
Department: Information Technology Studies
Academic Area(s): Data Science, Computer Vision, Machine Learning & Pattern Recognition, Digital Image Processing, Wireless Sensor Networks, Management Information Systems
Email: [email protected]
Born and bred in the Upper West Region, Mohammed Nurudeen received his Bachelor of Science Degree in Mathematical Science (Computer Option) from the University for Development Studies (UDS), Ghana in 2008. After graduating, he took up a voluntary teaching appointment at Akraman Catholic Junior High School in the Central Region where he taught ICT for a year. During this same period he also volunteered as a part time computer technician at the Saltpond Community Information Center (CIC).
After a year of voluntary national service, Mohammed pursued his postgraduate studies at the Central South University (CSU), China where he obtained a Master’s of Engineering Degree in Computer Science and Technology in 2013 and a Doctor of Engineering Degree in Computer Application Technology in 2017. During this phase of his academic career, he took part in a number of high profile research projects and also won the Graduate Student of Honor and Excellence Award in 2017.
Prior to graduation, he was offered an appointment at Huawei Technologies (SA) Limited in Ghana where he worked as Quality Assurance Specialist for a year before joining the University of Professional Studies, Accra in September 2018.
Dr. Mohammed Nurudeen is currently interested in the following research areas: Computer Vision, Natural Language Processing, Data Mining and Internet of Things (IoT).
Teaching Statement
I view the classroom as an ecosystem of knowledge and as much as I try to impart knowledge, I also try to learn from the ecosystem.
Academic Degrees
•PhD (Central South University(CSU) China) - 2017
•MSc. (Central South University (CSU) China) – 2013
•BSc. (University for Development Studies (UDS) Ghana) - 2008
Professional Experience
•Research Assistant, Mobile Health-Ministry of Education-china-Mobile Joint Laboratory, (2014 – 2015)
•Quality Assurance Specialist, Huawei Technologies (SA) Limited Ghana, (2017 -2018)
•Lecturer, University of Professional Studies Accra(UPSA), (2018- to date)
Selected Publications (presented from the most recent to the earliest)
Refereed Journal Articles
1.Siddique, A.S., Thomas, G., & Nurudeen, M. (2020). Organizational citizen behaviour and commitment: A study on public universities’ employees in Ghana. International Journal of Advanced Educational Research, 5 (1), 01-09.
2.Nurudeen, M., Zou, B., Zhu, C., & Zhao, R. (2018). Crime prediction and mapping based on real time video analysis. Journal of Ambient Intelligence and Smart Environments, 221–239. DOI 10.3233/AIS-180476.
3.Zou, B., Nurudeen, M., Zhu, C., Zhang, Z.Q., Zhao, R.C., & Lei, W. (2018). A neuro- fuzzy crime prediction model based on video analysis. Chinese Journal of Electronics, 27(5), 5. DOI:10.1049/cje.2018.02.019.
4.Zou, B., Nurudeen, M., Zhu, C. Z., & Zhao, R.C. (2017). Crime hotspot detection and monitoring using video based event modeling and mapping techniques. International Journal of Computational Intelligence Systems, 10,962-969. DOI.org/10.2991/ijcis.2017.10.1.64
5.Zou, B., Nurudeen, M., Zhu, C., Lei, W., & Zhao, R.C. (2017) Overall Gabor classifier (OGC) with kernel partial least square discrimination. Journal of Computational and Theoretical Nanoscience 14(8), 3727-3726. DOI: 10.1166/jctn.2017.6665
6.AL-Gawda, M., Zou, B., & Nurudeen, M. (2016). Yemeni mobile counterfeit detection system using support vector machines, fuzzy logic and image processing techniques. Journal of Computational and Theoretical Nanoscience, 13(5), 2965-2977. DOI: 10.1166/jctn.2016.4945.
7.AL-Gawda, M., Zou, B., & Nurudeen, M. (2015). Printed document authentication using two-dimensional (2D) barcodes and image processing techniques. International Journal of Security and Its Applications, 9(8), 347-366. DOI: 10.14257/ijsia.2015.9.8.31
8.Liu, A. F., Liu, Z. H., Nurudeen, M., Xin, J., & Chen, Z. G. (2013). An elaborate chronological and spatial analysis of energy hole for wireless sensor networks. Elsevier Editorial System(tm) for Computer Standards & Interfaces, 35(1), 132–149. https://doi.org/10.1016/j.csi.2012.06.005
9.Nurudeen, S., & Nurudeen, M. (2013). Using fuzzy clustering and software metrics to predict faults in large industrial software systems. Journal of Computer Engineering - International Journal of Scientific Research (IJSR), 13(6), 32-36. DOI:10.6084/m9.figshare.1203283
Conferences (Published Abstracts)
1. Al-jonid, K., Wang, J.Y., & Nurudeen, M. (2013). A new fault classification model for prognosis and diagnosis in CNC machine. 25th Chinese decision control conference (CDCC). IEEE Conference, 3538 - 3543. DOI: 10.1109/CCDC.2013.6561561
Subject Areas (Teaching)
Graduate level
•MCPC 605 Management Information Systems
Undergraduate level
•BITM 303: Database Management System II
•BITM 302: Management Information Systems
•BITM 402: Professional Computing Practice
Professional Membership & Affiliations
•Member, University Teachers’ Association of Ghana (UTAG)
•Association of Computing Machinery(ACM)
After a year of voluntary national service, Mohammed pursued his postgraduate studies at the Central South University (CSU), China where he obtained a Master’s of Engineering Degree in Computer Science and Technology in 2013 and a Doctor of Engineering Degree in Computer Application Technology in 2017. During this phase of his academic career, he took part in a number of high profile research projects and also won the Graduate Student of Honor and Excellence Award in 2017.
Prior to graduation, he was offered an appointment at Huawei Technologies (SA) Limited in Ghana where he worked as Quality Assurance Specialist for a year before joining the University of Professional Studies, Accra in September 2018.
Dr. Mohammed Nurudeen is currently interested in the following research areas: Computer Vision, Natural Language Processing, Data Mining and Internet of Things (IoT).
Teaching Statement
I view the classroom as an ecosystem of knowledge and as much as I try to impart knowledge, I also try to learn from the ecosystem.
Academic Degrees
•PhD (Central South University(CSU) China) - 2017
•MSc. (Central South University (CSU) China) – 2013
•BSc. (University for Development Studies (UDS) Ghana) - 2008
Professional Experience
•Research Assistant, Mobile Health-Ministry of Education-china-Mobile Joint Laboratory, (2014 – 2015)
•Quality Assurance Specialist, Huawei Technologies (SA) Limited Ghana, (2017 -2018)
•Lecturer, University of Professional Studies Accra(UPSA), (2018- to date)
Selected Publications (presented from the most recent to the earliest)
Refereed Journal Articles
1.Siddique, A.S., Thomas, G., & Nurudeen, M. (2020). Organizational citizen behaviour and commitment: A study on public universities’ employees in Ghana. International Journal of Advanced Educational Research, 5 (1), 01-09.
2.Nurudeen, M., Zou, B., Zhu, C., & Zhao, R. (2018). Crime prediction and mapping based on real time video analysis. Journal of Ambient Intelligence and Smart Environments, 221–239. DOI 10.3233/AIS-180476.
3.Zou, B., Nurudeen, M., Zhu, C., Zhang, Z.Q., Zhao, R.C., & Lei, W. (2018). A neuro- fuzzy crime prediction model based on video analysis. Chinese Journal of Electronics, 27(5), 5. DOI:10.1049/cje.2018.02.019.
4.Zou, B., Nurudeen, M., Zhu, C. Z., & Zhao, R.C. (2017). Crime hotspot detection and monitoring using video based event modeling and mapping techniques. International Journal of Computational Intelligence Systems, 10,962-969. DOI.org/10.2991/ijcis.2017.10.1.64
5.Zou, B., Nurudeen, M., Zhu, C., Lei, W., & Zhao, R.C. (2017) Overall Gabor classifier (OGC) with kernel partial least square discrimination. Journal of Computational and Theoretical Nanoscience 14(8), 3727-3726. DOI: 10.1166/jctn.2017.6665
6.AL-Gawda, M., Zou, B., & Nurudeen, M. (2016). Yemeni mobile counterfeit detection system using support vector machines, fuzzy logic and image processing techniques. Journal of Computational and Theoretical Nanoscience, 13(5), 2965-2977. DOI: 10.1166/jctn.2016.4945.
7.AL-Gawda, M., Zou, B., & Nurudeen, M. (2015). Printed document authentication using two-dimensional (2D) barcodes and image processing techniques. International Journal of Security and Its Applications, 9(8), 347-366. DOI: 10.14257/ijsia.2015.9.8.31
8.Liu, A. F., Liu, Z. H., Nurudeen, M., Xin, J., & Chen, Z. G. (2013). An elaborate chronological and spatial analysis of energy hole for wireless sensor networks. Elsevier Editorial System(tm) for Computer Standards & Interfaces, 35(1), 132–149. https://doi.org/10.1016/j.csi.2012.06.005
9.Nurudeen, S., & Nurudeen, M. (2013). Using fuzzy clustering and software metrics to predict faults in large industrial software systems. Journal of Computer Engineering - International Journal of Scientific Research (IJSR), 13(6), 32-36. DOI:10.6084/m9.figshare.1203283
Conferences (Published Abstracts)
1. Al-jonid, K., Wang, J.Y., & Nurudeen, M. (2013). A new fault classification model for prognosis and diagnosis in CNC machine. 25th Chinese decision control conference (CDCC). IEEE Conference, 3538 - 3543. DOI: 10.1109/CCDC.2013.6561561
Subject Areas (Teaching)
Graduate level
•MCPC 605 Management Information Systems
Undergraduate level
•BITM 303: Database Management System II
•BITM 302: Management Information Systems
•BITM 402: Professional Computing Practice
Professional Membership & Affiliations
•Member, University Teachers’ Association of Ghana (UTAG)
•Association of Computing Machinery(ACM)