Volgenau School of Engineering Graduate Research: Recent submissions

  • Creating a Digital Twin of an Insider Threat Detection Enterprise Using Model-Based Systems Engineering 
    Lee, James; Alghamdi, Ahmad; Zaidi, Abbas K. (2022 IEEE International Systems Conference (SysCon), 2022-04)
    Inference Enterprise Modeling (IEM) is a methodology developed to address test and evaluation limitations that insider threat detection enterprises face due to a lack of ground truth and/or missing data. IEM uses a collection ...
  • Creating a Digital Twin of an Insider Threat Detection Enterprise using Model Based Systems Engineering 
    Lee, James; Alghamdi, Ahmad; Zaidi, Abbas (AI4SE and SE4AI Workshop, 2021-10-20)
  • UAF Strategic Planning for Enterprises 
    Torkjazi, Mohammadreza; Davila-Andino, Arturo J.; Alghamdi, Ahmad; Zaidi, Abbas K. (IEEE, 2022-11-24)
    In this paper, we propose an extension to the Unified Architecture Framework (UAF) Profile to leverage the potential of the widely used SWOT analysis in modeling the UAF strategic viewpoint of an enterprise or System of ...
  • Data Analysis for Fraud Detection in Finance 
    Almutairi, Raghad; Godavarthi, Abhishek; Reddy Kotha, Arthi (2022-06-04)
    Credit card use is not always the best way to use for payments, but the most demonstrable payment mode is through the credit card for both offline as well as for online payments, which can result in deficit of funds. As ...
  • Machine Learning Application in Health 
    Alshabana, Ghadah; Tran, Thao; Chitimalla, Ashritha; Thompson, Michael (2022-06-10)
    Coronavirus can be transmitted through the air by close proximity to infected persons. Commercial aircraft are a likely way to both transmit the virus among passengers and move the virus between locations. The importance ...
  • ML models for Customer Relationship Analysis in Finance 
    Jia, Nan; Bagam, Lahari; Fabijanczyk, Patricia (2022-06-08)
    The purpose of this research project was to analyze customer complaint data from financial institutions and identify areas of opportunity for these institutions to improve their customer satisfaction rate. In addition ...
  • Using Machine Learning Algorithms to Improve Road Safety 
    Kotikalapudi, Lakshmi Praneetha; Chao, Yen Ling; Reddy, Sri Siddhartha (2022-06-08)
    Transportation facilities are becoming more developed as society develops, and people's travel demand is increasing, but so are the traffic safety issues that arise as a result. And car accidents are a major issue all over ...
  • Data Analysis to Analyze Mental Health in Global Pandemic 
    Antonova, Helen; Liao, Spencer; Chandra Sai Pamidimukkala, Eswara (2022-06-08)
    According to the 2021 Report from the World Health Organization (WHO), more than 700,000 people have taken their life. Suicide can be prevented but so far most of the efforts to do so have fallen short. However, the use ...
  • Neurological Manifestation of COVID-19: An Updated Literature Review 
    Eltayeb, Sohaib; Peixoto, Nathalia (2022-05)
    SARS-CoV-2, which causes the disease known as Coronavirus Disease 2019 (COVID-19), is a novel coronavirus that arose in Wuhan, China in 2019. Within a short time, it rapidly spread across the world and has been declared ...
  • EEG- EMG-Based Interface For Upper Limb Exoskeleton – A Review 
    De Marzi, Laura; Peixoto, Nathalia (2022-05)
    The second most common cause of death in the world is cerebrovascular accident or stroke, and rehabilitation plays an important role to help the survivors of such accidents. Rehabilitation exercises are essential to ...
  • Combinatorial Trends of Tissue Engineering for Peripheral Nerve Regeneration 
    Dando, Emma (2022-05)
    Peripheral nerve damage is frequently seen due to injury or illnesses, like diabetes. Despite its prevalence and the fact that many patients with less serious injuries have good clinical outcomes, many patients do not ...
  • Early Detection of Epilepsy Seizures using Machine Learning Algorithms 
    Rios, Cristian (Chris) (2022-05)
    According to the World Health Organization (WHO), one of the most common neurological diseases is epilepsy with over 50 million people globally diagnosed to date. Epilepsy is defined as a chronic noncommunicable disease ...
  • Effect of Psychedelic (LSD and Psilocybin) Use in Treating Mental Disorders like Major Depressive Disorder (MDD) 
    Kahn, Zehra (2022-05)
    Major Depressive Disorder (MDD) is a widespread problem throughout the United States with no shortage of treatments. Psilocybin, a serotonin agonist, is treatment for MDD that showed great potential but wasn’t explored ...
  • A Study of Epileptic Seizure Detection using Machine Learning Algorithms 
    Kamaraju, Rajeev; Peixoto, Nathalia (2022-05)
    This paper focuses on studying epileptic seizure detection using machine learning algorithms. Algorithms like Naïve Bayes, Logistic Regression, Stochastic Gradient Descent, KNearest Neighbour, Decision trees and random ...
  • Modeling the Effects of Dehydration on Cellular Growth and Wound Repair 
    Dando, Emma (2021-06-15)
    Dehydration is a common problem among athletes and the elderly, both of whom get injured more frequently than the average adult. Dehydration has been linked to reduced circulation, a reduced amount of water being absorbed ...
  • Bert Model for Social Media Bot Detection 
    Heidari, Maryam; Jones, James H Jr. (2022-03)
    Millions of online posts about different topics and products are shared on popular social media platforms. One use of this content is to provide crowd-sourced information about a specific topic, event, or product. However, ...
  • Online User Profiling to Detect Social Bots on Twitter 
    Heidari, Maryam; Jones, James H. R.; Uzuner, Ozlem (2021-03)
    Social media platforms can expose influential trends in many aspects of everyday life. However, the trends they represent can be contaminated by disinformation. Social bots are one of the significant sources of ...
  • Machine learning models for Prediction of the need for future Covid-19 vaccine booster 
    Marzook, Ahmad Al; Xu, Ge; Jagannath, Prajna Shetty (2021-04)
    About 4 million Virginia citizens are fully vaccinated against COVID-19. According to medical data from nations like Israel and the United Kingdom, all those people may require another shot in the near future, at least ...
  • Machine Learning Applications in Finance 
    Kodru, Sushma Sree (2021-04-28)
    Now is an opportune time to for everyone. Let us acknowledge that now because it is very important that the current credit scoring system in place needs to be improved and accurate to avoid any risk going forward. We know ...
  • Machine Learning and Transfer Learning Applications in Finance Sector 
    Zaid, Altukhi (2021-04-28)
    The American Rescue Plan of 2021 cause consumers to spend and put money back into the economy in the COVID19 pandemic. As we begin to see light at the end of the tunnel, this is good news for the banking industry and ...

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