Tokunbo Makanju received his Ph.D. in Computer Science from Dalhousie University in Halifax, Canada in 2012. He has held several positions prior to working with New York Tech, including postdoctoral researcher with IBM/CIVDDD in Toronto and Research Engineer with the Cybersecurity Lab at KDDI Research Inc. in Japan. His research interests exist at the intersection of Big Data Analytics, Machine Learning, Network Management and Cybersecurity.
Publications
- S. M. Fattahi, A. Makanju and A. Milani Fard, "SIMBA: An Efficient Simulator for Blockchain Applications," 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S), 2020, pp. 51-52, doi: 10.1109/DSN-S50200.2020.00028
- Samuel Champagne, Adetokunbo Makanju, Chengchao Yao, Nur Zincir-Heywood, and Malcolm Heywood, 2018, "A genetic algorithm for dynamic controller placement in software defined networking. In Proceedings of the Genetic and Evolutionary Computation Conference Companion" (GECCO '18). Association for Computing Machinery, New York, NY, USA, 1632–1639. DOI:https://doi-org.arktos.nyit.edu/10.1145/3205651.3208244
- A. Makanju and S. Kiyomoto, "Diversification of Autonomous Vehicle Driving Behavior,"2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017, pp. 1-5, doi: 10.1109/VTCFall.2017.8288316
- A. Makanju, Z. Farzanyar, A. An, N. Cercone, Z. Z. Hu and Y. Hu, "Deep parallelization of parallel FP-growth using parent-child MapReduce," 2016 IEEE International Conference on Big Data (Big Data), 2016, pp. 1422-1431, doi: 10.1109/BigData.2016.7840750
Courses Taught at New York Tech
- INCS 741: Cryptography
- CSCI 690: Computer Networks
- CSCI 651: Algorithm Concepts
- INCS 870: Cybersecurity Project I
- INCS 880: Cybersecurity Project II