Justin Morris received his Ph.D. degree from University of California, San Diego and San Diego State University in 2022. He had the pleasure of being advised by both Dr. Tajana Rosing and Dr. Baris Aksanli. Before starting his Ph.D. degree, Justin was an undergraduate student researcher at the University of California, San Diego. He finished his B.S. in 2018 and took a gap year focusing on research while he applied for his Ph.D. to stay in Dr. Tajana Rosing's research group, System Energy Efficiency Lab. During both his undergraduate and graduate degrees, Justin was actively engaged in teaching. He worked as a Tutor, TA, and also an Instructor at the University of California, San Diego. Justin recently joined California State University, San Marcos as an Assistant Professor of Computer Engineering in Fall 2022. Justin is the Principle Investigator of the Nexus for Efficient Utilization of Robust and Optimized Neuromorphic Computing (NEURON).

Low Powered Machine Learning:

• Brain-Inspired Hyperdimensional Computing
• Emerging Computing Technologies

I have taught the following courses since Fall 2022:

• CS 331: Computer Architecture
• EE 301: Digital Logic
• CE 100: Introduction to Computer Engineering
• CE 310: Computer Engineering

1. Behnam Khaleghi, Jaeyoung Kang, Hanyang Xu, Justin Morris, Tajana Rosing ”GENERIC: Highly Efficient Learning Engine on Edge using Hyperdimensional Computing”, Design Automation Conference (DAC), 2022.
2. Justin Morris, Hin Wai Lui, Kenneth Stewart, Behnam Khaleghi, Anthony Thomas, Thiago Marback, Baris Aksanli, Emre Neftci, and Tajana Rosing, ”HyperSpike: HyperDimensional Computing for More Efficient and Robust Spiking Neural Networks,” in Design, Automation Test in Europe Conference Exhibition (DATE), 2022.
3. Yilun Hao, Saransh Gupta, Justin Morris, Behnam Khaleghi, Baris Aksanli, and Tajana Rosing, ”Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing,” in IEEE 39th International Conference on Computer Design (ICCD), 2021.
4. Justin Morris, Si Thu Kaung Set, Gadi Rosen, Mohsen Imani, Baris Aksanli, and Tajana Rosing, ”AdaptBit-HD: Adaptive Model Bitwidth for Hyperdimensional Computing,” in IEEE 39th International Conference on Computer Design (ICCD), 2021.
5. Alice Sokolova, Mohsen Imani, Andrew Huang, Ricardo Garcia, Justin Morris, Tajana Rosing, and Baris Aksanli, ”MACcelerator: Approximate Arithmetic Unit for Computational Acceleration,” in 22nd International Symposium on Quality Electronic Design (ISQED) 2021.
6. Behnam Khaleghi, Hanyang Xu, Justin Morris, and Tajana Simuni ˇ c Rosing, ”tiny-HD: Ultra- ´Efficient Hyperdimensional Computing Engine for IoT Applications,” in Design, Automation Test in Europe Conference Exhibition (DATE), 2021.
7. Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, and Tajana Rosing, ”Hydrea: Towards more robust and efficient machine learning systems with hyperdimensional computing,” in Design, Automation Test in Europe Conference Exhibition (DATE), 2021.
8. Yunhui Guo, Mohsen Imani, Jaeyoung Kang, Sahand Salamat, Justin Morris, Baris Aksanli, Yeseong Kim, and Tajana Rosing, ”HyperRec: Efficient Recommender Systems with Hyperdimensional Computing,” in 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021.
9. Saransh Gupta, Justin Morris, Mohsen Imani, Ranganathan Ramkumar, Jeffrey Yu, Aniket Tiwari, Baris Aksanli, and Tajana Simunic Rosing, ”THRIFTY: Training with Hyperdimensional Computing across Flash Hierarchy,” in IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2020.
10. Justin Morris, Yilun Hao, Saransh Gupta, Ranganathan Ramkumar, Jeffrey Yu, Mohsen Imani, Baris Aksanli, and Tajana Simunic Rosing, ”Multi-label HD Classification in 3D Flash,” in Proceedings of IFIP/IEEE International Conference on VLSI and System-on-Chip (VLSI-SoC), 2020.
11. Mohsen Imani, Justin Morris, Samuel Bosch, Helen Shu, Giovanni De Micheli, and Tajana Rosing, ”Adapthd: Adaptive efficient training for brain-inspired hyperdimensional computing,” in IEEE Biomedical Circuits and Systems Conference (BioCAS), 2019.
12. Justin Morris, Mohsen Imani, Samuel Bosch, Anthony Thomas, Helen Shu, and Tajana Rosing, ”CompHD: Efficient hyperdimensional computing using model compression,” in IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2019.
13. Mohsen Imani, Justin Morris, John Messerly, Helen Shu, Yaobang Deng, and Tajana Rosing, ”Bric: Locality-based encoding for energy-efficient brain-inspired hyperdimensional computing,” in Proceedings of the 56th Annual Design Automation Conference (DAC), 2019.
14. Mohsen Imani, Tarek Nassar, Justin Morris, and Tajana Rosing, ”DNA Sequencing using Braininspired Hyperdimensional Computing,” in GOMACTech Conference, 2019.

1. Justin Morris, Yilun Hao, Saranash Gupta, Behnam Khaleghi, Baris Aksanli, Tajana Rosing. ”Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline”, Frontiers in Neuroscience, 2022.
2. George Armstrong, Cameron Martino, Justin Morris, Behnam Khaleghi, Jaeyoung Kang, Jeff DeReus, Qiyun Zhu et al. ”Swapping Metagenomics Preprocessing Pipeline Components Offers Speed and Sensitivity Increases.” Msystems (2022): e01378-21.
3. Justin Morris, Kazim Ergun, Behnam Khaleghi, Mohsen Imani, Baris Aksanli, and Tajana Rosing, ”HyDREA: Utilizing Hyperdimensional Computing For A More Robust and Efficient Machine Learning System.” ACM Transactions on Embedded Computing Systems (TECS), 2022.
4. Justin Morris, Yilun Hao, Roshan Fernando, Mohsen Imani, Baris Aksanli, and Tajana Rosing, ”Locality-based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.
5. Rebecca K. Fielding-Miller, Smruthi Karthikeyan, Tommi Gaines, Richard S. Garfein, Rodolfo A. Salido, Victor Cantu, Laura Kohn et al. ”Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project.” Medrxiv (2021).
6. Mohsen Imani, Justin Morris, Helen Shu, Shou Li, and Tajana Rosing, ”Efficient associative search in brain-inspired hyperdimensional computing,” in IEEE Design Test 37, no. 1 2019 28-35.