
Rupak Kumar DasPennsylvania State University | Penn State · College of Information Sciences and Technology
Rupak Kumar Das
Doctor of Philosophy
About
18
Publications
2,633
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Introduction
My name is Rupak Kumar Das, and I am a Ph.D. student at Pennsylvania State University. My research interests lie in Natural Language Processing, Machine Learning, and social media analysis. I have always been fascinated by the power of language and its ability to connect people from different backgrounds and cultures. As a graduate student, I have had the opportunity to delve deeper into these fields, and I am excited about the potential for my work to impact society positively.
Additional affiliations
August 2020 - May 2022
January 2020 - May 2021
Education
August 2020 - May 2022
Publications
Publications (18)
With their advanced capabilities, Large Language Models (LLMs) can generate highly convincing and contextually relevant fake news, which can contribute to disseminating misinformation. Though there is much research on fake news detection for human-written text, the field of detecting LLM-generated fake news is still under-explored. This research me...
Background
Integrating humanoid robots, wearable sensors, and spatial technology into an intelligent dementia‐friendly living space is crucial for tailoring personalized and supportive environments, thereby addressing the unique needs of individuals affected by dementia and maintaining quality of life.[1‐10].
Methods
We programmed Pepper, a humano...
Background
There is ample evidence that music can boost brain activity and jog deeply embedded memories. Literature indicates a significant improvement in autobiographical memory (ABM) recall for different individuals during background music sessions. Existing research is based solely on qualitative data, although music has a significant impact on...
Background
Integrating humanoid robots, wearable sensors, and spatial technology into an intelligent dementia‐friendly living space is crucial for tailoring personalized and supportive environments, thereby addressing the unique needs of individuals affected by dementia and maintaining quality of life.[1‐10].
Methods
We programmed Pepper, a humano...
Background
There is ample evidence that music can boost brain activity and jog deeply embedded memories. Literature indicates a significant improvement in autobiographical memory (ABM) recall for different individuals during background music sessions. Existing research is based solely on qualitative data, although music has a significant impact on...
Assessing an AI system's behavior-particularly in Explainable AI Systems-is sometimes done empirically, by measuring people's abilities to predict the agent's next move-but how to perform such measurements? In empirical studies with humans, an obvious approach is to frame the task as binary (i.e., prediction is either right or wrong), but this does...
Teaching students about explainable AI is emerging as a critical topic for industry readiness, but doing so is difficult. This is because it contains a vast array of concepts, each of which may be new to students. In this chapter, we will go through the strategies we have honed to make this course accessible to fledgling data scientists. Along the...
The Internet of Things (IoT) will bring about the next industrial revolution in Industry 4.0. The communication aspect of IoT devices is one of the most critical factors in choosing the device that is suitable for use. Thus far, the IoT physical layer communication challenges have been met with various communications protocols that provide varying...
This paper uses the BERT model, which is a transformer-based architecture, to solve task 4A, English Language, Sentiment Analysis in Twitter of SemEval2017. BERT is a very powerful large language model for classification tasks when the amount of training data is small. For this experiment , we have used the BERT BASE model, which has 12 hidden laye...
This study investigates the integration of assistive therapeutic robotics, wearable sensors, and spatial sensors within an intelligent environment tailored for dementia care. The feasibility study aims to assess the collective impact of these technologies in enhancing care giving by seamlessly integrating supportive technology in the background. Th...
The Internet of Things (IoT) will bring about the next industrial revolution in Industry 4.0. The communication aspect of IoT devices is one of the most critical factors in choosing the suitable device for the suitable usage. So far, the IoT physical layer communication challenges have been met with various communications protocols that provide var...
Electroencephalography (EEG) is a mechanism to understand the brain’s functioning by analyzing brain electrical signals. More recently, it has been more commonly used in studies that are focused on the causation and effect of dementia. More tools are now available to gather EEG data. This brings about the challenge of understanding brain signals, w...
Abstracts:
Background:
There is ample evidence that music can boost brain activity and jog deeply embedded memories. Literature indicates a significant improvement in autobiographical memory (ABM) recall for different individuals during background music sessions. Existing research is based solely on qualitative data although music has a significan...
There is no disputing the role that background music plays in memory recall. Music has the power to activate the brain and trigger deeply ingrained memories. For dementia patients, background music is a common therapy because of this. Previous studies used music to recall lyrics, series of words, and long- and short-term memories. In this research,...
Healthcare is a fundamental part of every individual's life. The healthcare industry is developing very rapidly with the help of advanced technologies. Many researchers are trying to build cloud-based healthcare applications that can be accessed by healthcare professionals from their premises, as well as by patients from their mobile devices throug...
The importance of background music in memory retrieval is irrefutable. Music can boost brain activity and jog deeply embedded memories. This is why background music is used as a popular therapy for dementia patients. Previous studies used music to recall lyrics, serial of words, and long and short-term memories. In this research, EEG and EDA data w...
Age classification is a useful tool for creating an automatic system that can identify or verify and classify a person into an age group. In this paper a unique approach for classifying different aged people based on their forearm electromyography (EMG) signal, which has different characteristics from teenager to old is proposed. The Electromyograp...