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Browsing Volgenau School of Engineering Graduate Research by Title

Browsing Volgenau School of Engineering Graduate Research by Title

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  • 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 Models for Quality of Children’s Lives 
    Teh, Bloti; Kittisupakorn, Srisuda (2021-04-28)
    Electoral system design is a key component of a democratic regime. The design of an electoral system may increase the driving force of political change. If the electoral system does not go well, it will lead to ...
  • Machine Learning Techniques for Analysis of Political Campaign 
    Xu, Ge; Hapikul, Suchada (2021-04-28)
    In the latest U.S. election of 2020, the voting results confirmed Biden as the 46th president of the United States. After the U.S. presidential election results have been announced, we have seen in some news reports, ...
  • 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 ...
  • 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 ...
  • Multicore Processor Performance Analysis 
    Kolhe, Gaurav S. (2019)
    Central Process Units (CPUs) are becoming the standard processors of current computing systems design. With the increasing performance requirements, the number of transistors on single chip unit cannot grow exponentially ...
  • Natural Language Processing Approach for Recommender Systems 
    Tadepalli, Sowndarya Lahari (2021-04-28)
    Playlists have become a significant part of our music listening experience today. There are over three billion of these on Spotify alone. Along these lines, it is basic for a recommender structure to have the limit perceive ...
  • 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 ...
  • New York City Shooting Victims: Data Analysis Of The Most At Risk Population 
    Kukreja, Arush (2021-04-28)
    According to a report published by The City University of New York, it is estimated that in the year 2018 the number of visitors to New York City hit a record of 65.1 million (Tourism, 2020). New York City also ...
  • NLP approach for Mental Health Problems Associated with Social Media Activities 
    Tamma, Deepthi (2021-04-28)
    While social media has brought countless social benefits, the increased inter connectivity has introduced unforeseen social issues. Among younger people in particular, where social media use is ubiquitous, there is concern ...
  • NLP Model for Effect of Social Media on Health 
    Duncan, Brianni (2021-04-28)
    Social Media is a tool that offers users enter- tainment, creative expression, networking opportunities, more accessible access to an abundance of resources. However, there is an alarming increase in mental illnesses ...
  • 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 ...
  • Optogenetics: Using Light to Investigate and Potentially Treat Neurological and Psychological Disorders 
    Kub, Michael (2019)
    Optogenetics is an innovative neuromodulation technique involving the use of light and light-sensitive proteins to control molecular events within a genetically modified cell. The fundamental mechanism behind optogenetics ...
  • Real Time Sentiment Analysis of Online Information for Fast Emergency Response 
    Lewis, Michael; Tabassum, Munira; Bibhuti, Reeti (2021-04-28)
    Semantic analysis has been widely researched in the domain of online review sites with the aim of generating summarized opinions of users about different aspects of products. Analyzing such semantics from online social ...
  • Sentiment Analysis and NLP models for Identifying Biases of Online News Stations 
    Cox, Grace; Acharya, Anuska (2021-04-28)
    This work attempts to identify potential reporting bias surrounding recent controversial decisions for articles published from August 2019 to October 2021 within four major news organizations: FOX, CNN, NBC, and NPR. This ...
  • Sentiment Analysis Methods to Mitigate Negative Effect of the COVID-19 Pandemic 
    Mohamud, Sofia A (2021-01-11)
    The goal of this research is to determine crucial factors that played a role in the number of confirmed COVID-19 infections within a given location. We hypothesize that political bias plays a significant role in the rise ...
  • 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 ...
  • Social Media Analytics for Opinion Mining of Important Events 
    Hapikul, Suchada (2021-04-28)
    Statistics of various aspects of each political campaign have been counted on multiple websites. Big data analytics can analyze each candidate's "tags," the slogans and strategies of different candidates, and the ...
  • Social Media's Influence on Mental Health 
    Courtney, Will (2021-04-28)
    The technological advancement that is continually occurring has brought forth many unique innovations. Social networking is arguably one of the most impactful mediated technologies produced by the Information Age. Social ...
  • Stop COVID-19 Cases by Using Data Analytics Approach 
    Chitimalla, Ashritha (2021-04-28)
    The most common way Covid-19 can spread is by human interaction, through respiratory droplets such as talking, coughing, sneezing, and more. Air travelers can come from countries or areas with a high rate of infection ...

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