My name is Emmanuel Okafor, I am a Ph.D holder in Artificial Intelligence, whose research subjects are mainly animal recognition and detection. In addition, I have collaborated in other deep learning research projects such as; plant classification, face and handwritten recognition.


Research Interests
Deep Learning, Machine Learning, Computer Vision, UAV and Control System

• Proficient with the use of deep learning frameworks such as Caffe, Tensorflow, Keras, Pytorch and Torch
• Proficient with the use of Matlab, Python, Lua, and PHP

Publications

• "Okafor, E., Berendsen, G., Schomaker, L., & Wiering, M. (2018, October). Detection and Recognition of Badgers Using Deep Learning. In International Conference on Artificial Neural Networks (pp. 554-563). Springer, Cham."
• "Okafor, E., Schomaker, L., & Wiering, M. A. (2018). An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. Journal of Information and Telecommunication, 2 (4): (pp. 465-491)."
• "Okafor, E., Smit, R., Schomaker, L., & Wiering, M. (2017, July). Operational data augmentation in classifying single aerial images of animals. In INnovations in Intelligent SysTems and Applications (INISTA), 2017 IEEE International Conference on (pp. 354-360). IEEE."
• "Okafor, E., Pawara, P., Karaaba, F., Surinta, O., Codreanu, V., Schomaker, L., & Wiering, M. (2016, December). Comparative study between deep learning and bag of visual words for wild-animal recognition. In Computational Intelligence (SSCI), 2016 IEEE Symposium Series on (pp. 1-8). IEEE."
• "Chanda, S., Okafor, E., Hamel, S., Stutzmann, D., & Schomaker, L. (2018, April). Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition. In 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) (pp. 217-222). IEEE."
• Pawara, P., Okafor, E., Surinta, O., Schomaker, L., & Wiering, M. (2017, February). Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. In International Conference on Pattern Recognition Applications and Methods, ICPRAM (pp. 479-486)."
• Pawara, P., Okafor, E., Schomaker, L., & Wiering, M. (2017, September). Data augmentation for plant classification. In International Conference on Advanced Concepts for Intelligent Vision Systems (pp. 615-626). Springer, Cham."
• Wagenaar, M., Okafor, E., Frencken, W., & Wiering, M. A. (2017). Using Deep Convolutional Neural Networks to Predict Goal-scoring Opportunities in Soccer. In ICPRAM (pp. 448-455).
• Hogervorst, J., Okafor, E., & Wiering, M. Deep Colorization for Facial Gender Recognition. In 29th Benelux Conference on Artificial Intelligence November 8–9, 2017, Groningen (pp. 317-325)."
• "Maas, J. L., Okafor, E., and Wiering, M., The Dual Codebook: Combining Local Feature Descriptors for Bags of Visual Words in Image Classification, In 28th Annual Benelux Conference on Artificial Intelligence (BNAIC 2016), Amsterdam (pp. 64-71)."

Research Activities
Supervision of Bacholer Students

• René Flohil: Classification of Motion Behaviour of Animals using Supervised Learning Algorithms, 2018
• Jonathan Hogervorst: Deep Colorization for Facial Gender Recognition, 2017.
• Wijnand Karsens: Deep Learning for Animal Recognition using Caffe Framework, 2016.

Workshop and Training

• Workshop on programming for GPUs using OpenACC July 5th @ Smitsborg, Groningen, Netherlands, 2016.
• Vision Understanding and Machine Intelligence (VISUM) Summer School 4 th Edition, Porto, Portugal, 2016.