jeremy.blackstone's picture



Faculty Details

Adjunct Lecturer

PhD in Computer Science and Engineering, University of California, San Diego, August 2015 - June 2021
M.S. in Systems and Computer Science, Howard University, Washington, DC, September 2014 - May 2015
M.S. in Systems and Computer Science, Howard University, Washington, DC, September 2010 - May 2014

Subjects Taught: 

Computer Science I C++ Section

Detailed Information

About Me: 

Jeremy Blackstone is an Adjunct Lecturer at Howard University in the Computer Science Department. He is currently a PhD candidate in the Computer Science and Engineering department at University of California, San Diego and received his Bachelor's and Master's degree in Systems and Computer Science at Howard University. He performs research in hardware security working on projects developing countermeasures for side channel attacks. The projects identify the most vulnerable points during a cryptographic algorithm's execution and prevent an adversary from performing observations or modifications of the data to mitigate power analysis, electromagnetic analysis or fault injection attacks.


My research interests are side channel attacks, security instrumentation and denial of service attacks


Zhang, L., Hu, W., Ardeshiricham, A., Tai, Y., Blackstone, J., Mu, D. and Kastner, R., 2018, March. Examining the consequences of high-level synthesis optimizations on power side-channel. In 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1167-1170). IEEE.

Hu, W., Zhang, L., Ardeshiricham, A., Blackstone, J., Hou, B., Tai, Y. and Kastner, R., 2017, November. Why you should care about don't cares: Exploiting internal don't care conditions for hardware Trojans. In 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) (pp. 707-713). IEEE.

Richmond, D., Blackstone, J., Hogains, M., Thai, K. and Kastner, R., 2016, May. Tinker: Generating Custom Memory Architectures for Altera's OpenCL Compiler. In Field-Programmable Custom Computing Machines (FCCM), 2016 IEEE 24th Annual International Symposium on (pp. 21-24). IEEE.

Murray, A., Begna, G., Nwafor, E., Blackstone, J. and Patterson, W., 2015, April. Cloud Service Security & application vulnerability. In SoutheastCon 2015 (pp. 1- 8). IEEE.

Banks, K.B., Blackstone, J.M., Perry, S.S., Patterson, W., des Valle, P.G., Mujica, S., Aedo, C.M., Sanchez, A.M., Andrade, J.P.M. and Stuardo, J.A.R., 2012, March. DDoS and other anomalous web traffic behavior in selected countries. In Southeastcon, 2012 Proceedings of IEEE (pp. 1-5). IEEE.


Recent Computer Science Ph.D. Graduates Join Industry as Outstanding Researchers

Fri, November 20, 2020

Recent Computer Science Ph.D. graduates Abdulhamid Adebayo (far right) and Ronald Doku (second to the right) joined tech giants IBM Research and Oracle as researchers in cybersecurity and data science. Dr. Adebayo joined IBM Research as Hybrid Cloud Security Researcher and Dr. Doku joined Oracle, Inc. as Data Scientist. Both were graduate research assistants and advisees of Danda B. Rawat, Ph.D., Computer Science Professor and Director of Howard University’s Data Science & Cybersecurity Center (DSC2). Read More >>

Electrical Engineering Lecturer Fadel Lashhab Receives 2020 IEEE IEMTRONICS Best Paper Award

Fri, October 23, 2020

Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>


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