UMBC Computer Science and Electrical Engineering Department
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The Computer Science and Electrical Engineering Department aims to maintain a program of excellence in teaching, research, and service for all of its programs. At the undergraduate level, we will provide students with a firm foundation of both the theory and practice of Computer Science and Computer Engineering. Our curricula also give students the social, ethical, and liberal education needed to make significant contributions to society. Students receiving a bachelor’s degree are ready to enter the work force as productive computer scientists or computer engineers, or to continue their education at the graduate or professional level.
At the graduate level, we are committed to developing the research and professional capabilities of students in Computer Science, Computer Engineering, Electrical Engineering and Cybersecurity. Our programs provide a deeper mastery of the basics of these fields, as well as opportunities to collaborate on leading-edge research with our faculty. Our faculty are engaged in both practical and theoretical research, often in partnership with government agencies, private industry and non-governmental organizations. The aim of this research is to advance knowledge within our disciplines and also to contribute to solving problems faced by our society.
Recent Submissions
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Computational Humor: A Survey of the Literature
(2023)Humor, a quintessentially human experience, is one that finds itself at the intersection of psychology, linguistics, philosophy, and computation. Thus, it finds itself in a very unique place in the world of computer ... -
TinyM²Net-V2: A Compact Low Power Software Hardware Architecture for Multimodal Deep Neural Networks
(ACM, 2023-05-03)With the evaluation of Artificial Intelligence (AI), there has been a resurgence of interest in how to use AI algorithms on low-power embedded systems to broaden potential use cases of the Internet of Things (IoT). To mimic ... -
Machine Learning Security as a Source of Unfairness in Human-Robot Interaction
(2023)Machine learning models that sense human speech, body placement, and other key features are commonplace in human-robot interaction. However, the deployment of such models in themselves is not without risk. Research in ... -
A Systematic Study on Object Recognition Using Millimeter-wave Radar
(2023-05-03)Due to its light and weather-independent sensing, millimeter-wave (MMW) radar is essential in smart environments. Intelligent vehicle systems and industry-grade MMW radars have integrated such capabilities. Industry-grade ... -
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information
(2023-05-02)Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information. Recent work has shown that large language models (LLMs) that have access to ... -
Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
(2023-05-03)With the increasing number and sophistication of malware attacks, malware detection systems based on machine learning (ML) grow in importance. At the same time, many popular ML models used in malware classification are ... -
RARES: Runtime Attack Resilient Embedded System Design Using Verified Proof-of-Execution
(2023-05-05)Modern society is getting accustomed to the Internet of Things (IoT) and Cyber-Physical Systems (CPS) for a variety of applications that involves security-critical user data and information transfers. In the lower end of ... -
Optimized two-layer motheye structures for MgAl₂O₄ spinel ceramic windows
(Optica, 2021-07-22)We computationally study two-layer motheye nanostructures fabricated on MgAl₂O₄ spinel ceramic windows. We investigated the parameters of the structure, including height, width, and shape, in order to optimize its power ... -
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data
(IEEE, 2023-05-05)Identification of subgroups of subjects homogeneous functional networks is a key step for precision medicine. Independent vector analysis (IVA) is shown to be effective for this task, however, it has a substantial computing ... -
Independent vector analysis with multivariate Gaussian model: A scalable method by multilinear regression
(IEEE, 2023-05-05)Joint blind source separation (JBSS) is a powerful tool for analyzing multiple linked datasets, distinguished by the key ability to exploit cross-dataset dependencies. Despite this ability generally improving overall ... -
Robots are everywhere – improving how they communicate with people could advance human-robot collaboration
(The Conversation, 2023-04-12) -
Exploring High-Level Neural Networks Architectures for Efficient Spiking Neural Networks Implementation
(IEEE, 2023-03-21)The microprocessor industry faces several challenges: total power consumption, processor speed, and increasing chip cost. It is visible that the processor speed in the last decade has not improved and saturated around 2 ... -
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
(2023-04-25)Virtual Mental Health Assistants (VMHAs) are seeing continual advancements to support the overburdened global healthcare system that gets 60 million primary care visits, and 6 million Emergency Room (ER) visits annually. ... -
Anonymous Lightweight Authenticated Key Agreement Protocol for Fog-Assisted Healthcare IoT System
(IEEE, 2023-04-25)The impact of fog-assisted Healthcare IoT (H-IoT) system is immense. The smart H-IoT equipments can upload healthcare information to fog nodes with low latency and high mobility. To facilitate secure interactions among ... -
Sparse Private LASSO Logistic Regression
(2023-04-24)LASSO regularized logistic regression is particularly useful for its built-in feature selection, allowing coefficients to be removed from deployment and producing sparse solutions. Differentially private versions of LASSO ... -
FVCARE:Formal Verification of Security Primitives in Resilient Embedded SoCs
(2023-04-22)With the increased utilization, the small embedded and IoT devices have become an attractive target for sophisticated attacks that can exploit the devices security critical information and data in malevolent activities. ... -
Towards Semantic Exploration of Tables in Scientific Documents
(CEUR, 2023-05-28)Structured data artifacts such as tables are widely used in scientific literature to organize and concisely communicate important statistical information. Discovering relevant information in these tables remains a ... -
Simultaneous Data Dissemination Among WiFi and ZigBee Devices
(IEEE, 2023-04-20)Recent advances in Cross-Technology Communication (CTC) have opened a new door for cooperation among heterogeneous IoT devices to support ubiquitous applications, such as smart homes and smart offices. However, existing ... -
Neurosymbolic AI - Why, What, and How
(2023-05-01)Humans interact with the environment using a combination of perception - transforming sensory inputs from their environment into symbols, and cognition - mapping symbols to knowledge about the environment for supporting ... -
The Future of Hybrid Care and Wellbeing in HCI
(ACM, 2023-04-19)This workshop focuses on remote care and wellbeing as we transition into a world increasingly adopting hybrid lifestyles and modes of operation. Care and care work have predominantly been researched in traditionally ...
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