UMBC Information Systems Department
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Recent Submissions
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Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products Based on Climate Analytics as a Service Framework
(MDPI, 2021-09-06)MODIS (Moderate Resolution Imaging Spectroradiometer) is a key instrument onboard NASA’s Terra (launched in 1999) and Aqua (launched in 2002) satellite missions as part of the more extensive Earth Observation System (EOS). ... -
Keyphrase Extraction for Technical Language Processing
(NIST, 2021-03-09)Keyphrase extraction is an important facet of annotation tools that offer the provision of the metadata necessary for technical language processing (TLP). Because TLP imposes additional requirements on typical natural ... -
Identifying Research-Active Specialists at an Academic Medical Center: A Case Study
(Taylor & Francis, 2022-02-28)How might one identify, via publicly accessible web sites, research-active specialists at an academic medical center? As a case study, health informatics specialists were identified at two academic medical centers: ... -
TinyM²Net: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices
(2022-02-09)With the emergence of Artificial Intelligence (AI), new attention has been given to implement AI algorithms on resource constrained tiny devices to expand the application domain of IoT. Multimodal Learning has recently ... -
Increasing Adoption of Tor Browser Using Informational and Planning Nudges
(Sciendo, 2022-03-02)Browsing privacy tools can help people protect their digital privacy. However, tools which provide the strongest protections—such as Tor Browser—have struggled to achieve widespread adoption. This may be due to usability ... -
Regression Networks For Calculating Englacial Layer Thickness
(2021-06-12)Ice thickness estimation is an important aspect of ice sheet studies. In this work, we use convolutional neural networks with multiple output nodes to regress and learn the thickness of internal ice layers in Snow Radar ... -
Service-oriented Scalable MODIS Aggregation Using STRATUS Framework
(2020-01-01)The Moderate Resolution Imaging Spectroradiometer(MODIS) is a payload imaging sensor, a key instrument aboard NASA’s Terra and Aqua satellites. The instrument is designed to capture high quality data in multiple spectral ... -
Investigating Mental Models of Risk Among Security-Expert Users
(2020-01-01)Usable security research endeavors to make interaction with technology more intuitive and trustworthy. Studying this area is critical given the increasing amount of sensitive data we trust to networked devices and services, ... -
Scalable Multivariate Causality Discovery From Large-Scale Global Spatiotemporal Climate Data
(2020-01-01)The study of causality investigates cause-effect relationships among different variables of a system and has been widely researched in climatology. To discover causal relationships from time-series datasets, many data-driven ... -
Secure and Flexible Information Sharing in Federated Systems
(2020-01-01)As data grows exponentially, the need for information sharing to make meaningful decisions is on the increase. Multiple organizations leading different roles in dynamic situations often need to share mission-dependent ... -
COMBINING TEXT EMBEDDING WITH ADDITIONAL KNOWLEDGE FOR INFORMATION EXTRACTION
(2020-01-01)Information Extraction (IE) is an essential field of natural language processing (NLP). Over the years, researchers have studied numerous approaches and techniques to meet the challenges of different IE tasks. This ... -
Investigating Ways to Support the Use of Voice Assistants (VAs) among Individuals who are Blind
(2020-01-01)Voice assistants (VAs) (e.g., Apple Siri, Google Assistant, Amazon Alexa, etc.) offer considerable potential to users. The hands-free nature of these technologies, enables users to perform tasks which would otherwise be ... -
Trusted Compliance Enforcement Framework for Sharing Health Big Data
(IEEE, 2022-01-13)COVID pandemic management via contact tracing and vaccine distribution has resulted in a large volume and high velocity of Health-related data being collected and exchanged among various healthcare providers, regulatory ... -
A Semantically Rich Framework to Automate Cloud Service Level Agreements
(IEEE, 2022-01-11)Consumers evaluate and choose cloud-based services based on the Service Level Agreements (SLA). These agreements list the service terms and metrics to be agreed upon by the service providers and the customers. Current ... -
Efficient and Privacy-Preserving Collaborative Intrusion Detection Using Additive Secret Sharing and Differential Privacy
(IEEE, 2022-01-13)Intrusion Detection Systems are commonly used by organizations to monitor network traffic and detect attacks or suspicious behaviours. However, many attacks occur across organizations and are often difficult to detect using ... -
A Semantic Framework for Secure and Efficient Contact Tracing of Infectious Diseases
(IEEE, 2022-01-14)Contact tracing is the process of identifying people who came into contact with an infected person (“case”) and collecting information about these contacts. Contact tracing is an essential part of public health infrastructure ... -
PseudoNAM: A Pseudo Value Based Interpretable Neural Additive Model for Survival Analysis
(CEUR, 2021)Deep learning models have achieved the start-of-the-art per formance in survival analysis as they can handle censor ing while learning complex nonlinear hidden representa tions directly from the raw data. However, the ... -
BFT in Blockchains: From Protocols to Use Cases
(ACM, 2021-12-22)A blockchain is a distributed system that achieves strong security guarantees in storing, managing, and processing data. All blockchains achieve a common goal: building a decentralized system that provides a trustworthy ... -
Measuring Software Security Using Improved CWE Base Scores
(CEUR, 2021-11)Increasing the security of a software system by decreasing the number of its vulnerabilities has been a major objective of any organization. Therefore, it is important to identify a measure that indicates the security ... -
Reproducible and Portable Big Data Analytics in the Cloud
(2021-12-17)Cloud computing has become a major approach to enable reproducible computational experiments because of its support of on-demand hardware and software resource provisioning. Yet there are still two main difficulties in ...
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