As part of a collaboration that was initiated and then subsequently expanded earlier this year, Amazon and Howard University have announced the 2023 Recouples of their Gift Project Awards and Doctoral Fellowship. These recolades recognize persons whose proposed projects meet the collaboration mission to bring differentiated research at the forefront.
Funded by Amazon and Houses in the College of Engineering and Architecture, the Gift Project Awards support the faculty research projects with a first focus on Machine Learning (ML) and Natural-Language Processing (NLP). The award for Doctorate Scholarships is funding an independent research project that has been transformed by a PhD candidates in ML and NLP.
Containers’ research deeply connects with the shared mission of Amazon and Howard, where he emphasizes the need for comprehensive and inclusive progress in natural language for treatment, artificial intelligence and machine learning.
The following is a description of the differentiated research projects.
Doctoral-Fellowship Award
Mikel K. NgueajioPhD. -Scandle, Department of Computer Science
“During my day at graduate school, I developed a deep fascination to exploit machine learning techniques to understand human language and improve communication between individuals. This fascination has been driven by my personal philosophy and desire to tackle under -represented society’s experiences and society.
“My PhD research is centering on the automated identification of microaggressions (MA) in text. For this purpose, I use contextual ML algorithms to examine the effect of context on the performance of models used to detect offensive speech of a similar kind.
“The primary goal of my research is to develop an explainable MA detector capable of analyzing text data collection from different sets, such as the workplace, social media, and real-time interviews. By designing and building an automatic MA detector embedded in an application similar To suggest that alternative words to users to users for users who promote, hen to get more inclusive substrates and respect to refer to and respect more communication.
Gift project prices
Anietie AndyProfessor of electrical engineering and computer science and Legand BurgeProfessor of Computer Science: “To gain insight about the expression and manifestation of anxiety across age groups and gender on social media”
”Angst, der er defineret som” en følelse, der er kendetegnet ved følelser af spændinger, bekymrede tanker og fysisk forandring som inkluderer blodtryk ”, er comorbid med sundhedsmæssige tilstande som depression. Angstrelaterede støtte NED’er kan variere på tværs af lignende og køn og køns- og individuel oplevelse og køn og køn og køn og køn og køn og køn og køn og køn og køn og køn og køn og kønsmæssig oplevelse af individuel oplevelse og depression eller angst, men not depression.
“To develop personalized conversation agents for artificial intelligence (AI) that can provide sufficient support surround anxiety, it is important to determine the variations and or the similarities of the expression and manifestation of anxiety across these dimensions and how they can or may not change. Specifically Facebook-we love to determine the variations in the expression and manifestation of anguish across of anxiety or depression or anxiety but not anxiety.
Jeremy BlackstoneDeputy in Electrical Engineering and Computer Science and Burge: “Walking planning to AWS Trainium”
“This project seeks to expand gang planning algorithm by tapping a type of lazy gang planning to reduce idle of resources in a planning environment. This is done by introducing two new algorithms using machine learning to manipulate the communication process for driving.
“The two algorithms work through separate use of a new condition, fusion that works by keeping processes in a gang that is currently not assigned to any processors. The performance of the proposed algorithms will be compared to the basic gang implementation, and there are sufficient measurements across all indicators, such as response time, throughput time, and vacation time, among others.”
Gloria WashingtonAssociate Professor of Electrical Engineering and Computer Science and Saurav Keshari Aryal, train reading: “FAIR (Findable, Available, Interoperable and Recyclable) Data Communication and Evaluation of the African American Linguistic English Data Set”
“The uniqueness of African American linguistic English (AAVE) has proved challenging for automatic-speech recognition (ASR) technologies due to lack of avaible data, limited research in the area, differences in comments and regional dialectical differences. Progress, this work will evaluate and benchmark Ave-Starten created by Howard University against the current state of the state-of-the-art.