Nayim Rahman

Research Engineer
Staff
School of Engineering: Department of Electrical and Computer Engineering

Nayim Rahman

Research Engineer
Staff
School of Engineering: Department of Electrical and Computer Engineering

Publications

  • Hite, Connar, Sean Saud, Raef Taha, Nayim Rahman, Tanvir Atahary, Scott Douglass, and Tarek Taha. "Bridging Natural Language and ASP: A Hybrid Approach Using LLMs and AMR Parsing." arXiv preprint arXiv:2511.08715 (2025).
  • Islam, Rashedul, Chris Yakopcic, Nayim Rahman, Shahanur Alam, and Tarek M. Taha. "Ultra-Efficient Network Intrusion Detection Implemented on Spiking Neural Network Hardware." In 2025 IEEE 68th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 573-577. IEEE, 2025.
  • Islam, Rashedul, Shahanur Alam, Chris Yakopcic, Nayim Rahman, Simon Khan, and Tarek Taha. "Unsupervised Anomaly Detection for Automotive CAN Bus on the Intel Loihi." In 2024 International Joint Conference on Neural Networks (IJCNN), pp. 1-8. IEEE, 2024.
  • Rahman, Nayim, Tanvir Atahary, Chris Yakopcic, Tarek M. Taha, and Scott Douglass. "Q-Learning Based Cognitive Domain Ontology Representation and Solving on Low Power Computing Platforms." IEEE Access 12 (2023): 131-147.
  • Rahman, Nayim, Chris Yakopcic, Ricardo Lent, Janette C. Briones, David Chelmins, Rachel Dudukovitch, Aaron Smith et al. "Neuromorphic hardware in outer space: Software defined networking executed on an in-orbit Loihi spiking processor." In 2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW), pp. 1-5. IEEE, 2023.
  • Rahman, Md Nayim. Low Power Based Cognitive Domain Ontology Solving Approaches. University of Dayton, 2021.
  • Yakopcic, Chris, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, and Scott Douglass. "Solving constraint satisfaction problems using the loihi spiking neuromorphic processor." In 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), pp. 1079-1084. IEEE, 2020.
  • Yakopcic, Chris, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, Alex Beigh, and Scott Douglass. "High speed cognitive domain ontologies for asset allocation using loihi spiking neurons." arXiv preprint arXiv:1906.12338 (2019).
  • Rahman, Nayim, Tanvir Atahary, Chris Yakopcic, Tarek M. Taha, and Scott Douglass. "Task allocation performance comparison for low power devices." In NAECON 2018-IEEE National Aerospace and Electronics Conference, pp. 247-253. IEEE, 2018.
  • Zahangir Alom, Md, Theodore Josue, Md Nayim Rahman, Will Mitchell, Chris Yakopcic, and Tarek M. Taha. "Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System." arXiv e-prints (2018): arXiv-1802.
  • Rahman, Nayim, Tanvir Atahary, Tarek Taha, and Scott Douglass. "A pattern matching approach to map cognitive domain ontologies to the IBM TrueNorth Neurosynaptic System." In 2017 Cognitive Communications for Aerospace Applications Workshop (CCAA), pp. 1-4. IEEE, 2017.
  • Yakopcic, Chris, Nayim Rahman, Tanvir Atahary, Tarek M. Taha, and Scott Douglass. "Cognitive domain ontologies in a memristor crossbar architecture." In 2017 IEEE National Aerospace and Electronics Conference (NAECON), pp. 76-83. IEEE, 2017.
  • Rahman, Nayim, Tanvir Atahary, Tarek Taha, and Scott Douglass. "Cognitive domain ontologies on the TrueNorth neurosynaptic system." In 2017 International Joint Conference on Neural Networks (IJCNN), pp. 3543-3550. IEEE, 2017.
  • Rahman, Nayim, Chris Yakopcic, Tanvir Atahary, Raqibul Hasan, Tarek M. Taha, and Scott Douglass. "Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture." In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4. IEEE, 2017.
  • Rahman, Nayim, Tanvir Atahary, Tarek Taha, and Scott Douglass. "Cognitive domain ontologies on the TrueNorth neurosynaptic system." In 2017 International Joint Conference on Neural Networks (IJCNN), pp. 3543-3550. IEEE, 2017.
  • Rahman, Nayim, Chris Yakopcic, Tanvir Atahary, Raqibul Hasan, Tarek M. Taha, and Scott Douglass. "Cognitive Domain Ontologies in lookup tables stored in a memristor string matching architecture." In 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4. IEEE, 2017.

Courses Taught

  • ECT 466: Microcomputer Architecture

Degrees

  • Ph.D., Electrical and Computer Engineering, University of Dayton, 2021
  • M.S., Electrical Engineering, Wright State University, 2012.
  • B.S., Electrical and Electronics Engineering, Rajshahi University of Engineering and Technology (RUET), 2008

Research Interests

  • Low power autonomous systems and decision making
  • Meta-Heuristics-based optimal decision-making
  • Spiking Neural Network processor