Andrew Mackey
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Also affiliated: Pennsylvania State University (2024); Mondelēz International (United States) (2017); University of Guelph (2017–2020)
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Andrew Mackey's research focuses on the application of signal processing and filtering techniques to localization and proximity estimation problems, particularly within the context of the Internet of Things (IoT). His work has investigated the performance of Bluetooth Low Energy (BLE) beacons for indoor navigation and smart building applications. Mackey has explored methods to enhance the accuracy and energy efficiency of these systems, utilizing techniques such as Bayesian filtering and Kalman filters. His publications also address localization systems for GPS-less environments, including those employing LoRa technology for emergency services. Additionally, his research has touched upon the detection of adulterants in food products, specifically examining the effects of different adulteration techniques on the near-infrared spectroscopic detection of melamine in milk powder. Mackey holds a h-index of 7 with 27 total publications and 345 citations.
Metrics
- h-index: 8
- Publications: 27
- Citations: 410
Selected Publications
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Emotion Analysis and Neural Language Models for Classification (2025)Journal of the Arkansas Academy of Science OpenAlex
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Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)
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Prompt Distillation for Emotion Analysis (2024)
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Scalable processing of massive text data stores for NLP (2019)Journal of computing sciences in colleges OpenAlex
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Automatic text summarization within big data frameworks (2018)
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Text categorization using distributed NoSQL databases (2018)Journal of computing sciences in colleges OpenAlex
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In-memory cluster computing for machine learning (2017)Journal of computing sciences in colleges OpenAlex
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Incorporating big data technology into computing curriculum: conference tutorial (2016)
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Enterprise systems: conference tutorial (2015)Journal of computing sciences in colleges OpenAlex
Collaboration Network
Top Collaborators
- Automatic text summarization within big data frameworks
- Scalable processing of massive text data stores for NLP
- In-memory cluster computing for machine learning
- Prompt Distillation for Emotion Analysis
- Text categorization using distributed NoSQL databases
- Scalable processing of massive text data stores for NLP
- Text categorization using distributed NoSQL databases
- Scalable processing of massive text data stores for NLP
- Prompt Distillation for Emotion Analysis
- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
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