• A Side Channel Delay Analysis for Hardware Trojan Detection 

  Vakil, Ashkan (2020-10)

  This research proposal introduces a learning assisted modeling technique for the purpose of Hardware Trojan detection. Our proposed model, unlike the prior art, does not require a Golden fabricated chip as a fingerprint ...
• Comparing Muscle Spindle Afferent Models 

  Hachem, Stephanie (Teknos, 2020)

  Proprioception, the internal sense of where your body parts are relative to each other, is essential for many, particularly bimanual, daily activities. Unfortunately, because modern prosthetics lacks this sense it is often ...
• Study in Novel Peripheral Nerve Interface and Application 

  Samra, Amrtpal (2020)

  Bi-directional exchange of information between the peripheral nervous system (PNS) and a computer interface can be achieved through the use of a peripheral nerve interface (PNI). Sophisticated PNI’s can be used to augment ...
• Prosthetic Retina Literature Review 

  Holland, William (2020)

  Retinal implants have become a more feasible eye-corrective tool in recent years. Examples of modern retinal implants include: the Argus II electronic epiretinal device, and the IMS electronic subretinal device (Jalil, ...
• Measurements to Detect Mental Fatigue 

  Asif, Zara (2020-05)

  Mental fatigue is defined as a “state of reduced mental alertness that impairs performance” It affects nearly everyone in society at some point and has become one of the leading causes of workplace accidents [2]. Common ...
• A machine learning approach to predict rtms therapy response in major depressive disorder 

  Shams, Mohammad (2020-05)

  Machine learning techniques have been utilized to predict the outcome of repetitive transcranial magnetic stimulation (rTMS) treatment in depression, e.g., through classifying the responders (R) and non-responders (NR) to ...
• DNA nanotechnology in neural engineering: A perspective 

  Vargas, Merlyn (2020-05)

  DNA nanotechnology has great potential as a platform to enhance neural engineering approaches. DNA based nanoparticles are biocompatible and easy to functionalize [1]. Peptides or proteins can be conjugated to DNA nanoparticles ...
• Utilizing EEG to detect covert command-following in vegetative traumatic brain injury patients: A review 

  Leonard, Julia (2020)

  1.7 million people in the US suffer from traumatic brain injury (TBI) each year, typically resulting from car accidents, contact sports, military operations, and falls [1]. Currently, healthcare personnel rely on the Glasgow ...
• Interpreting Speech and Sounds from Neural Activity, a Brief Overview 

  Ryan, Andrew (2020)

  For people who are mute, or are completely paralyzed, one of the primary problems they have to deal with is being able to communicate. One potential solution to compensate for decreased communication functions is by using ...
• Network Video Recording and Their Challenges 

  Blot, Thomas "T. J."; Duong, Loc; Kim, Douglas (2020)
• Neuroscience Research in Spatial Navigation Using Robotic Animals 

  Sutton, Nate (2020)

  The focus of this review is neuroscience research using robots programmed to navigate spatial environments using methods based on animal cognition. The use of cognition-based methods in robot navigation has multiple ...
• Biophysical Neuromodulation: An Integrative Approach 

  Bush, Joshua (2020)

  The brain remains the key to our experiential reality. From sensory perception to an internal expanse the brain remains the hardware and processing unit. The age in which we can precisely alter the hardware with which we ...
• K-nearest neighbors algorithm (KNN) and artificial neural networks (ANN) accurately predicting malignancy of breast cancer (BC) 

  O'Shea, Bailey (2020)

  With the reoccurrence of unnecessary open surgeries on potential malignant tissue, there is a need for additional non-invasive tools oncologists and radiologists can utilize to help argue the reason behind performing ...
• Graphene-based nanocomposites used as a suitable biomaterial for neural growth and networking 

  O'Shea, Bailey (2020)

  A novelty to counter neurodegenerative diseases such as Alzheimer’s or peripheral nerve injury (PNI) has been in high demand for the past century. Alzheimer’s disease is a well-known disorder that causes nerve tissue to ...
• Using Neuron Activation as Way of Powering Artificial Muscle Fibers 

  Lombardo, Anthony (2020)

  Developing technologies and mechanisms that perform like our biological muscles have great potential of being useful for prosthetics research. Developing these technologies can be thought of as the easy part of the design, ...
• A Survey On Techniques Used for Designing Fault Tolerant and Process Variation Aware Memories and Caches 

  Beheshti-Shirazi, Sayed Aresh (2020)

  Aggressive voltage and frequency scaling schemes applied to memory and cache structures, specially for memory systems fabricated in advanced and scaled geometry nodes that are severely affected by process variation,significantly ...
• Technical Report on Logic Obfuscation for Protecting the Semiconductor Intellectual Properties in the Manufacturing Supply Chain 

  Roshanisefat, Shervin (2019)

  The increasing cost of building, operating, managing, and maintaining state-of-the-art silicon manufacturing facilities has pushed several stages of the semiconductor device’s manufacturing supply chain offshore. However, ...
• Traffic Management Modeling for Manassas Virginia 

  Chalmala, Goutham; Lepe, Michael; Esguerra, Marissa; Murray, James (2019-12)

  Vehicle traffic management has become a major issue in the United States and, especially, in the Northern Virginia area. This study assesses the traffic factors and develops models for the enhancement and optimization of ...
• A Technical Report on Real-Estate Rent Prediction 

  Rafatirad, Setareh (2017)

  Real-estate rent prediction is sensitive to several independent parameters and has allured a lot of researchers in the past few years to constructing automated tools using (ML) commodities. However, most of the proposed ...
• Malware Detection using Federated Learning based on HPC Events and Localized Image features 

  Shukla, Sanket; Kolhe, Gaurav; Homayoun, Houman; Manoj P D, Sai; Rafatirad, Setareh (2019)

  Malware is a global threat and it has seen a tremendous increase as well as diversity which made threat detection and analysis a pivotal challenge to address. The increasing diversity in the malware syntax and behavior is ...

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