Education and Research

This site provides quick and easy access to my educational background and publications. My complete resume can be viewed here:
Resume / CV

Education

Ph.D., Electrical Engineering, University of Dayton (2014)
M.S., Electrical Engineering, University of Dayton (2011)
B.S., Electrical Engineering, University of Dayton (2009)
M.B.A., University of Dayton (In Progress)

Press

C. Yakopcic, “Electronics Letters Featured Interview,” Electronics Letters, vol. 52, no. 20, pp. 1648, Sept. 2016.

Patents

C. Yakopcic, T. M. Taha, and R. Hasan, “Analog neuromorphic circuits for dot-product operation implementing resistive memories,” U.S. Patent, US 10,346,738, July 9, 2019.

C. Yakopcic, T. M. Taha, and R. Hasan, “Analog neuromorphic circuits for dot-product operation implementing resistive memories,” U.S. Patent, US 10,176,425, Jan. 8, 2019.

Publications

Bookchapters
T. M. Taha, R. Hasan, C. Yakopcic, and M. R. McLean, “Exploring the Design Space of Specialized Multicore Neural Processors, R. Pino (ed), Springer. July 2014.

C. Yakopcic, T. M. Taha, G. Subramanyam, and R. E. Pino, “Memristor SPICE Modeling,” in Advances in Neuromorphic Memristor Science and Applications, R. Kozma, R. Pino, and G. Pazienza (eds), Springer. July 2012.

Journal Articles
C. Yakopcic, T. M. Taha, D. J. Mountain, T. Salter, M. J. Marinella, M. McLean, “Memristor Model Optimization Based on Parameter Extraction from Device Characterization Data,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, (Accepted).

M. Z. Alom, M. Hasan, C. Yakopcic, T. M. Taha, V. Asari, “Recurrent Residual U-Net (R2U-Net) for Medical Image Segmentation,” Journal of Medical Imaging (Accepted).

M. Z. Alom, C. Yakopcic, M. S. Nasrin, T. M. Taha, and V. K. Asari, “Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network” Journal of Digital Imaging (Accepted).

R. Hasan, C. Yakopcic, T. M. Taha, “Ex-situ training of large memristor crossbars for neural network applications,” Analog Integrated Circuits and Signal Processing, https://doi.org/10.1007/s10470-018-1303-5 (Accepted).

Z. Alom, M. Hasan, C. Yakopcic, T. M. Taha, V. Asari, “Improved Inception-Residual Convolutional Neural Network for Object Recognition” Neural Computing and Applications, https://link.springer.com/article/10.1007/s00521-018-3627-6 (Accepted).

M. Z. Alom, T. Taha, C. Yakopcic, S. Westberg, P. Sidike, M. S. Nasrin, B. Essen, A. Awwal, V. Asari, “A State of the Art Survey on Deep Learning Theory and Architectures,” MDPI Electronics, vol. 8, no. 3, article num. 292, March, 2019.

V. Bontupalli, C. Yakopcic, R. Hasan, T. M. Taha, “Efficient Memristor based Architecture for Intrusion Detection and High Speed Packet Classification,” ACM Journal on Emerging Technologies in Computing Systems (JETC) – Special Issue on Neuromorphic Computing, vol. 14, no. 4, pp. 41:1 – 41:27, Dec. 2018.

C. Yakopcic, S. Wang, W. Wang, E. Shin, J. Boeckl, G. Subramanyam, and T. M. Taha, “Filament Formation in Lithium Niobate Memristors Supports Neuromorphic Programming Capability,” Neural Computing and Applications, vol. 30, no. 12, pp. 3773-3779, Dec. 2018.

C. Yakopcic, R. Hasan, and T. M. Taha, “Flexible Memristor Based Neuromorphic System for Implementing Multi-layer Neural Network Algorithms,” International Journal of Parallel, Emergent and Distributed Systems, vol. 33, no. 4, pp. 408-429, Aug. 2018.

R. Hasan, T, M. Taha, and C. Yakopcic, “A fast training method for memristor crossbar based multi-layer neural networks,” Analog Integrated Circuits and Signal Processing, vol. 93, no. 3, pp. 443-454, Oct. 2017.

G. Flora, M. Usman, C. Yakopcic, and M. Imran, “A Computational Study and Stability Analysis of a Mathematical Model for In Vitro Inhibition of Cancer Cell Mutation”, International Journal of Applied and Computational Mathematics, vol. 3, no. 3, pp. 1861-1878, Sept. 2017.

R. Hasan, T. M. Taha, and C. Yakopcic, “On-chip Training of Memristor Crossbar Based Multi-layer Neural Networks,” Microelectronics Journal, vol. 66, no. 8, pp. 31-40, Aug. 2017.

A. Amirsoleimani, J. Shamsi, M. Ahmadi, A. Ahmadi, S. Alirezaee, K. Mohammadi, M. A. Karami, C. Yakopcic, O. Kavehei, and S. Al-Sarawi, “Accurate Charge Transport Model for Nanoionic Memristive Devices,” Microelectronics Journal, vol. 65, no. 7, pp. 49-57, July 2017.

C. Yakopcic, V. Bontupalli, R. Hasan, D. Mountain, and T. M. Taha, “Self-biasing memristor crossbar used for string matching and TCAM implementation,” Electronics Letters, vol. 53, no. 7, pp. 463-465, March, 2017.

S. Wang, W. Wang, C. Yakopcic, E. Shin, G. Subramanyam and T. M. Taha, “Experimental study of LiNbO3 memristors for use in neuromorphic computing,” Microelectronic Engineering, vol. 168, pp. 37–40, Jan. 2017.

S. Wang, W. Wang, C. Yakopcic, E. Shin, G. Subramanyam and T. M. Taha, “Reconfigurable Neuromorphic Crossbars Based on Titanium Oxide Memristors,” Electronics Letters, vol. 52, no. 20, pp. 1673-1675, Sept. 2016.

C. Yakopcic and T. M. Taha, “Model for maximum crossbar size based on input driver impedance,” Electronics Letters, vol. 52 no. 1, pp. 25-27, Jan. 2016.

C. Yakopcic, R. Hasan, and T. M. Taha, “Hybrid Crossbar Architecture for a Memristor Based Cache,” Microelectronics Journal, vol. 46, no. 11, pp. 1020-1032, Nov. 2015.

C. Yakopcic and T. M. Taha, “Determining optimal switching speed for memristors in a neuromorphic system,” Electronics Letters, vol. 51 no. 21, pp. 1637-1639, Oct. 2015.

C. Yakopcic, T. M. Taha, and M. R. McLean, “Method for ex-situ training in a memristor-based neuromorphic circuit using a robust weight programming method,” Electronics Letters, vol. 51, no. 12, pp. 899-900, June, 2015.

C. Yakopcic, R. Hasan, T. M. Taha, M. R. McLean, and D. Palmer, “Memristor-based neuron circuit and method for applying learning algorithm in SPICE,” Electronics Letters, vol. 50, no. 7, pp. 492-494, March, 2014.

C. Yakopcic, T. M. Taha, G. Subramanyam, and R. E. Pino, “Generalized Memristive Device SPICE Model and its Application in Circuit Design,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 32, no. 8, pp. 1201-1214, August, 2013.

N. Milburn, K. Gildea, J. D. Bullough, and C. Yakopcic. Aviation-Related Light-Emitting Diode (LED) Perception Research. Aviation, Space, and Environmental Medicine. Vol. 84, No. 8, pp. 876-878, Aug. 2013.

C. Yakopcic, T. M. Taha, G. Subramanyam, R. E. Pino, and S. Rogers, “A Memristor Device Model,” IEEE Electron Device Letters, vol. 30, no. 10, pp. 1436-1438, Oct. 2011.

Conference Proceedings
M. S. Alam, B. R. Fernando, Y. Jaoudi, C. Yakopcic, R. Hasan, T. M. Taha, and G. Subramanyam “Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly Detection,” International Conference on Neuromorphic Systems (ICONS), 2019 (Accepted).

A. Zaman, C. Yakopcic, S. Wang, E. Shin, W. Wang, T. M. Taha, and G. Subramanyam, “Analysis of Lithium Niobate Memristor Devices for Neuromorphic Programability,” IEEE National Aerospace and Electronics Conference (NAECON), 2019 (Accepted). (Best Poster Award: 1st Place)

C. Yakopcic, N. Rahman, T. Atahary, T. M. Taha, A. Beigh, and S. Douglass, “High Speed Approximate Cognitive Domain Ontologies for Constrained Asset Allocation based on Spiking Neurons,” IEEE National Aerospace and Electronics Conference (NAECON), 2019 (Accepted).

C. Yakopcic, T. Atahary, N. Rahman, T. M. Taha, A. Beigh, and S. Douglass, “High Speed Approximate Cognitive Domain Ontologies for Asset Allocation Using Loihi Spiking Neurons,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July, 2019 (Accepted).

C. Yakopcic, B. R. Fernando, and T. M. Taha, “Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July, 2019 (Accepted).

C. Yakopcic, N. Rahman, T. Atahary, M. Z. Alom, T. M. Taha, A. Beigh, and S. Douglass, “Spiking Neural Network for Asset Allocation Implemented Using The TrueNorth System,” IEEE Cognitive Communications for Aerospace Applications Workshop, June, 2019 (Accepted).

C. Yakopcic, J. Freeman, T. M. Taha, S. Douglass, and Q. Wu, “Cognitive Domain Ontologies Based on Loihi Spiking Neurons Implemented Using a Confabulation Inspired Network,” IEEE Cognitive Communications for Aerospace Applications Workshop, June, 2019 (Accepted).

C. Yakopcic, T. Atahary, T. M. Taha, A. Beigh, and S. Douglass, “High Speed Approximate Cognitive Domain Ontologies for Asset Allocation based on Isolated Spiking Neurons,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 241-246, Dayton, OH, July, 2018.

N. Rahman, T. Atahary, C. Yakopcic, T. M. Taha, Scott Douglass, “Task Allocation Performance Comparison for Low Power Devices,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 247-253, Dayton, OH, July, 2018.

A. Zaman, E. Shin, C. Yakopcic, T. M. Taha, and G. Subramanyam, “Experimental Study of Memristors for use in Neuromorphic Computing,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 370-374, Dayton, OH, July, 2018.

Z. Alom, C. Yakopcic, T. M. Taha , and V. K. Asari, “Microscopic Blood Cell Classification using Inception Recurrent Residual Convolutional Neural Networks,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 222-227, Dayton, OH, July, 2018.

Z. Alom, C. Yakopcic, T. M. Taha, and V. K. Asari, “Nuclei Segmentation with Recurrent Residual Convolutional Neural Network based U-Net (R2U-Net),” IEEE National Aerospace and Electronics Conference (NAECON), pp. 228-233, Dayton, OH, July, 2018. (Best Poster Award: 3rd Place)

C. Yakopcic and T. M. Taha, “Analysis and Design of Memristor Crossbar Based Neuromorphic Intrusion Detection Hardware,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1-7, Rio de Janeiro, Brazil, July, 2018.

Z. Alom, T. Josue, N. Rahman, W. Mitchell, C. Yakopcic and T. M. Taha, “Deep Versus Wide Convolutional Neural Networks for Object Recognition on Neuromorphic System,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Rio de Janeiro, Brazil, July, 2018.

C. Yakopcic, N. Rahman, T. Atahary, T. M. Taha, and S. Douglass, “Cognitive Domain Ontologies in a Memristor Crossbar Architecture,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 76-83, Dayton, OH, June 2017.

C. Yakopcic and T. M. Taha, “Memristor Crossbar Based Implementation of a Multilayer Perceptron” IEEE National Aerospace and Electronics Conference (NAECON), pp. 38-43, Dayton, OH, June 2017.

C. Yakopcic, S. Wang, W. Wang, E. Shin, G. Subramanyam and T. Taha, “Methods for High Resolution Programming in Lithuim Niobate Memristors for Neuromorphic Hardware,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1704-1708, Anchorage, AK, May 2017.

C. Yakopcic, Z. Alom and T. Taha, “Extremely Parallel Memristor Crossbar Architecture for Convolutional Neural Network Implementation,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1696-1703, Anchorage, AK, May 2017.

R. Hasan, T. Taha and C. Yakopcic, “On-chip Training of Memristor Based Deep Neural Networks,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), 3527-3534, Anchorage, AK, May 2017.

N. Rahman, C. Yakopcic, T. Atahary, R. Hasan, T. M. Taha, and S. Douglass, “Cognitive Domain Ontologies in Lookup Tables Stored in a Memristor String Matching Architecture,” 30th annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4, Windsor, Ontario, April 2017.

F. Palenzuela, M. Shaffer, M. Ennis, J. Gorski, D. McGrew, D. Yowler, D. White, L. Holbrook, C. Yakopcic, and T. M. Taha, “Multilayer Perceptron Algorithms for Cyberattack Detection,” IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS), pp. 248-252, OH, July 2016.

S. Wang, W. Wang, C. Yakopcic, E. Shin, G. Subramanyam and T. M. Taha, “Memristor Devices for use in Neuromorphic Systems,” IEEE National Aerospace and Electronics Conference (NAECON) and Ohio Innovation Summit (OIS), pp. 253-257, OH, July 2016.

R. Hasan, T. Taha, C. Yakopcic, and D. Mountain, “High Throughput Neural Network based Embedded Streaming Multicore Processors,” IEEE International Conference on Rebooting Computing (ICRC), pp. 1-8, San Diego, CA, Oct. 2016.

C. Yakopcic, M. Z. Alom, and T. M. Taha, “Memristor Crossbar Deep Network Implementation Based on a Convolutional Neural Network,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 963-970, Vancouver, BC, July 2016.

C. Yakopcic, T. M. Taha, G. Subramanyam, and R. E. Pino, “Impact of Memristor Switching Noise in a Neuromorphic Crossbar” IEEE National Aerospace and Electronics Conference (NAECON), pp. 320-326, Dayton, OH, June 2015.

R. Uppala, C. Yakopcic, and T. M. Taha, “Methods for Reducing Memristor Crossbar Simulation Time” IEEE National Aerospace and Electronics Conference (NAECON), pp. 312-319, Dayton, OH, June 2015.

C. Yakopcic and T. M. Taha, “Ex-Situ Programming in a Neuromorphic Memristor Based Crossbar Circuit” IEEE National Aerospace and Electronics Conference (NAECON), pp. 300-304, Dayton, OH, June 2015.

S. Wang, W. Wang, E. Shin, C. Yakopcic, G. Subramanyam, T. M. Taha, “Lithium Based Memristive Devices” IEEE National Aerospace and Electronics Conference (NAECON), pp. 333-335, Dayton, OH, June 2015.

C. Yakopcic, R. Hasan, T. M. Taha, and D. Palmer, “SPICE Analysis of Dense Memristor Crossbars for Low Power Neuromorphic Processor Designs” IEEE National Aerospace and Electronics Conference (NAECON), pp. 305-311, Dayton, OH, June 2015.

R. Hasan, C. Yakopcic, and T. M. Taha, “Ex-situ Training of Dense Memristor Crossbar for Neuromorphic Applications,” IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp. 75-81, Boston, MA, July 2015.

C. Yakopcic, R. Hasan, and T. M. Taha, “Memristor Based Neuromorphic Circuit for Ex-Situ Training of Multi-Layer Neural Network Algorithms,” IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1-7, Killarney, Ireland, July 2015.

T. M. Taha, R. Hasan, and C. Yakopcic, “Memristor Crossbar Based Multicore Neuromorphic Processors,” IEEE International System-on-Chip Conference (SOCC), pp. 383-389, Las Vegas, NV, Sept. 2014.

C. Yakopcic, R. Hasan, T. M. Taha, “Tolerance to Defective Memristors in a Neuromorphic Learning Circuit,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 243-249, Dayton, OH, June 2014.

C. Yakopcic, T. M. Taha, and R. Hasan, “Hybrid Crossbar Architecture for a Memristor Based Memory,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 237-242, Dayton, OH, June 2014.

W. Wang, C. Yakopcic, E. Shin, K. Leedy, T. M. Taha, and G. Subramanyam, “Fabrication, Characterization, and Modeling of Memristor Devices,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 259-262, Dayton, OH, June 2014.

C. Yakopcic, R. Hasan, T. M. Taha, M. R. McLean, and D. Palmer, “Efficacy of Memristive Crossbars for Neuromorphic Processors,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 15-20, Beijing, China, July 2014.

C. Yakopcic, T. M. Taha, G. Subramanyam, and R. E. Pino, “Memristor SPICE Model and Crossbar Simulation with Nanosecond Switching Time,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1-7, Dallas, TX, August 2013. (Recipient of Best Paper Award for the Conference)

C. Yakopcic and T. M. Taha, “Energy Efficient Perceptron Pattern Recognition Using Segmented Memristor Crossbar Arrays,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Dallas, TX, August 2013.

T. M. Taha, R. Hasan, C. Yakopcic, and M. R. McLean, “Exploring the Design Space of Specialized Multicore Neural Processors,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 1-8, Dallas, TX, August 2013.

C. Yakopcic, J. Puttmann, B. R. Kunz, C. Ang, A. McPherson, D. Santez, M. Donovan, J. Skarzynski, J. Trick, A. Mead, N. Milburn, and N. E. Khaouly, “Experimental Effective Intensity of Steady and Flashing Light Emitting Diodes for Aircraft Anti-Collision Lighting,” International Symposium for Aviation Psychology, pp. 448-453, Dayton, OH, May 2013.

C. Yakopcic, J. Puttmann, B. R. Kunz, M. Holleran, B. Wingeier, A. Hashemi, K. Stapp, “Human Perception of Light Emitting Diodes for Aircraft Anti-Collision Lighting,” International Symposium for Aviation Psychology, May 2012.

C. Yakopcic, T. M. Taha, G. Subramanyam, and S. Rogers, “Multiple Memristor Read and Write Circuit for Neuromorphic Applications,” IEEE/INNS International Joint Conference on Neural Networks (IJCNN), pp. 2676-2682, San Jose, CA, July 2011.

C. Yakopcic, T. M. Taha, G. Subramanyam, R. E. Pino, and S. Rogers, “Analysis of a Memristor based 1T1M Crossbar Architecture,” IEEE International Joint Conference on Neural Networks (IJCNN), pp. 3243-3247, San Jose, CA, July 2011 (Invited paper).

C. Yakopcic, T. M. Taha, G. Subramanyam, and S. Rogers, “Memristor based unit cell for a detector readout circuit,” SPIE 8165, Unconventional Imaging, Wavefront Sensing, and Adaptive Coded Aperture Imaging and Non-Imaging Sensor Systems, vol. 81651F, September 2011.

C. Yakopcic, A. Sarangan, J. Gao, T. M. Taha, G. Subramanyam, and S. Rogers, “TiO2 Memristor Devices,” IEEE National Aerospace and Electronics Conference (NAECON), pp. 101-104, Dayton, OH, July 2011.

C. Yakopcic, T. M. Taha, G. Subramanyam, E. Shin, P. T. Murray, and S. Rogers, “Memristor-Based Pattern Recognition for Image Processing – an Adaptive Coded Aperture Imaging and Sensing Opportunity,” Proc. SPIE, Vol. 7818, 78180J, August 2010.

C. Yakopcic, T. M. Taha, G. Subramanyam, E. Shin, P. T. Murray, and S. Rogers, “Memristor Fabrication and Characterization An Adaptive Coded Aperture Imaging and Sensing Opportunity,” Proc. SPIE, Vol. 7818, 78180J, August 2010.

C. Yakopcic, E. Shin, T. M. Taha, G. Subramanyam, P. T. Murray, S. Rogers, “Fabrication and Testing of Memristive Devices,” International Joint Conference on Neural Networks, pp. 1-4, Barcelona, Spain, July 2010.

Technical Report
C. Yakopcic, J. Puttmann, B. Kunz, C. Ang, A. McPherson, D. Santez, M. Donovan, J. Skarzynski, J. Trick, A. Mead, N. Milburn, and N. Khaouly. (2013). Experimental Effective Intensity of Steady And Flashing Light Emitting Diodes for Aircraft Anti-Collision Lighting. (Report No. DOT/FAA/AM-13/15). Washington, DC: Federal Aviation Administration Office of Aerospace Medicine.

Thesis Documents
C. Yakopcic, “Memristor Modeling and Memristor Based Architectures for Memory and Neuromorphic Applications,” Ph.D. Thesis, University of Dayton, Dayton, OH, 2014

C. Yakopcic, “Memristor Devices: Fabrication, Characterization, Simulation, and Circuit Design,” Master’s Thesis, University of Dayton, Dayton, OH, 2011.

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