SelectedWorks - Jennifer Leopold

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Selected Works of Jennifer Leopold

Associate Professor

Dr. Jennifer Leopold is an Associate Professor in the Computer Science department of Missouri University of Science and Technology. She received her Ph.D. and M.S. degrees in Computer Science and B.S. in Mathematics from the University of Kansas.

Dr. Leopold's research interests range broadly in end-user programming environments, with particular focus on database accessibility and analysis, and scientific visualization. She has pursued those interests through research projects wherein the end-users are scientists (untrained as programmers or IT professionals) who need to analyze large quantities of complex data. In particular, Dr. Leopold has been interested in developing and studying the use of software tools that will allow such end-users to use powerful information technology to enhance their research, without the need for traditional programming training.

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About Jennifer Leopold

Dr. Jennifer Leopold is an Associate Professor in the Computer Science department of Missouri University of Science and Technology. She received her Ph.D. and M.S. degrees in Computer Science and B.S. in Mathematics from the University of Kansas.

Dr. Leopold's research interests range broadly in end-user programming environments, with particular focus on database accessibility and analysis, and scientific visualization. She has pursued those interests through research projects wherein the end-users are scientists (untrained as programmers or IT professionals) who need to analyze large quantities of complex data. In particular, Dr. Leopold has been interested in developing and studying the use of software tools that will allow such end-users to use powerful information technology to enhance their research, without the need for traditional programming training.

Discriminative Pattern Mining for Runtime Security Enforcement of Cyber-Physical Point-Of-Care ...

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference (2021, Madrid, Spain) (2021)

Fred Love, Jennifer Leopold, Bruce M. McMillin and Fei Su

Point-of-care diagnostics are a key technology for various safety-critical applications from providing diagnostics in developing countries lacking adequate medical infrastructure ...

Predictive Analysis of Real-Time Strategy Games: A Graph Mining Approach

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2021)

Isam A. Alobaidi, Jennifer Leopold, Ali A. Allami, Nathan W. Eloe, et al.

Machine learning and computational intelligence have facilitated the development of recommendation systems for a broad range of domains. Such recommendations ...

Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal ...

International Conference on Information and Knowledge Management, Proceedings (2020)

Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold and Yanjie Fu

In the last decade, there has been great progress in the field of machine learning and deep learning. These models ...

Comparison of Design-Centric and Data-Centric Methods for Distributed Attack Detection ...

IFIP Advances in Information and Communication Technology (2020)

Jennifer Leopold, Bruce M. McMillin, Rachel Stiffler and Nathan Lutes

Cyber-physical systems are vulnerable to a variety of cyber, physical and cyber-physical attacks. The security of cyber-physical systems can be ...

Beyond Geo-First Law: Learning Spatial Representations via Integrated Autocorrelations and ...

Proceedings of the IEEE International Conference on Data Mining (2019, Beijing, China) (2019)

Jiadi Du, Yunchao Zhang, Pengyang Wang, Jennifer Leopold, et al.

Spatial representation learning (SRL) is to automatically learn feature representations that characterize spatial entities. In this paper, we study the ...

Collective Representation Learning on Spatiotemporal Heterogeneous Information Networks

GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems (2019)

Dakshak Keerthi Chandra, Pengyang Wang, Jennifer Leopold and Yanjie Fu

Representation learning is a technique that is used to capture the underlying latent features of complex data. Representation learning on ...

Motif-Level Robustness Analysis of Power Grids

Proceedings of the 18th IEEE International Conference on Data Mining Workshops (2018, Singapore) (2018)

A. Abedijaberi and Jennifer Leopold

Motifs are often called the building blocks of networks and can be used for better understanding of the local structure ...

BugHint: A Visual Debugger based on Graph Mining

Proceedings of the 24th International DMS Conference on Visualization and Visual Languages (2018, Redwood City, CA) (2018)

Jennifer Leopold, Nathan W. Eloe and Patrick Taylor

Why doesn't my code work? Instructors for introductory programming courses frequently are asked that question. Often students understand the problem ...

Interactive Visualization of Robustness Enhancement in Scale-free Networks with Limited ...

Proceedings of the 23rd International Conference on Distributed Multimedia Systems, Visual Languages and Sentient Systems (2017, Pittsburgh, PA) (2017)

Armita Abedijaberi, Nathan W. Eloe and Jennifer Leopold

Error tolerance and attack vulnerability of scale-free networks are usually used to evaluate the robustness of these networks. While new ...

Graph Compaction in Analyzing Large Scale Online Social Networks

Proceedings of the 2017 IEEE International Conference on Communications (2017, Paris, France) (2017)

Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das

The real-world large scale networks motivate the need for parallel and distributed evaluation of network analysis and computational tasks for ...

Graph Partitioning in Parallelization of Large Scale Networks

Proceedings of the IEEE 41st Conference on Local Computer Networks (2016, Dubai, United Arab Emirates) (2016)

Sima Das, Jennifer Leopold, Susmita Ghosh and Sajal K. Das

Real world large scale networks exhibit intrinsic community structure, with dense intra-community connectivity and sparse inter-community connectivity. Leveraging their community ...

Scaffolding Version Control into the Computer Science Curriculum

Proceedings of the 22nd International Conference on Distributed Multimedia Systems (2016, Salerno, Italy) (2016)

Denise M. Case, Nathan W. Eloe and Jennifer Leopold

Version control systems (VCS) are widely-used in the software industry. They provide a powerful, collaborative framework that allows software engineers ...

VeCVL: A Visual Language for Version Control

Proceedings of the 22nd International Conference on Distributed Multimedia Systems(2016, Salerno, Italy) (2016)

Nathan W. Eloe, Denise M. Case and Jennifer Leopold

Version control systems (VCS), such as Subversion and Git, are pervasive in industry; they are invaluable tools for collaborative development ...

VisCFSM: Visual, Constraint-Based, Frequent Subgraph Mining

Proceedings of the DMS 2016: 22nd International Conference on Distributed Multimedia Systems (2016, Salerno, Italy) (2016)

Jennifer Leopold, Chaman Sabharwal and Nathan W. Eloe

Graphs long have been valued as a pictorial way of representing relationships between entities. Contemporary applications use graphs to model ...

FSMS: A Frequent Subgraph Mining Algorithm using Mapping Sets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)

Armita Abedijaberi and Jennifer Leopold

With the increasing prevalence of data that model relationships between various entities, the use of a graph-based representation for real-world ...

PhysQSR: Improving Reasoning in Three Dimensions and Time with Image ...

Proceedings of the 21st International Conference on Distributed Multimedia Systems (2015, Vancouver, Canada) (2015)

Nathan W. Eloe and Jennifer Leopold

Qualitative Spatial Reasoning (QSR) is an exceptionally powerful tool in the fields of computer cognition and automated computer reasoning. Recent ...

Spatial Relations between 3D Objects: The Association between Natural Language ...

Journal of Visual Languages and Computing (2015)

Jennifer Leopold, Chaman Sabharwal and Katrina J. Ward

With the proliferation of 3D image data comes the need for advances in automated spatial reasoning. One specific challenge is ...

Efficient Computation of Object Boundary Intersection and Error Tolerance in ...

Proceedings of the DMS 2012 18th International Conference on Distributed Multimedia Systems (2012, Miami Beach, FL) (2012)

Nathan W. Eloe, Jennifer Leopold, Chaman Sabharwal and Zhaozheng Yin

Computational geometry is a field that is relevant to computer graphics rendering, computational physical simulation, and countless other problem domains ...

Exhaustive RT-RICO Algorithm for Mining Association Rules in Protein Secondary ...

Proceedings of the 2012 IEEE Symposium on Computational Intelligence and Computational Biology (2012, San Diego, CA) (2012)

Leong Lee, Jennifer Leopold and Ronald L. Frank

Prediction of a protein's secondary structure from its amino acid sequence is a well studied computational problem in bioinformatics, and ...

Protein Secondary Structure Prediction using BLAST and Exhaustive RT-RICO, the ...

Proceedings of the 2012 IEEE Symposium on Computational Intelligence and Computational Biology (2012, San Diego, CA) (2012)

Leong Lee, Jennifer Leopold and Ronald L. Frank

Protein secondary structure prediction from its amino acid sequence is a well studied computational problem in bioinformatics and data mining. ...

Protein Secondary Structure Prediction using BLAST and Relaxed Threshold Rule ...

Proceedings of the 2011 IEEE Symposium on Computational Intelligence and Computational Biology (2011, Paris, France) (2011)

Leong Lee, Jennifer Leopold and Ronald L. Frank

Protein structure prediction has been a very important and challenging research problem in bioinformatics for years. Yet the determination of ...

Protein Secondary Structure Prediction using Parallelized Rule Induction from Coverings

Proceedings of the World Academy of Science, Engineering and Technology (2009)

Leong Lee, Cyriac Kandoth, Jennifer Leopold and Ronald L. Frank

Protein 3D structure prediction has always been an important research area in bioinformatics. In particular, the prediction of secondary structure ...

An Interactive, Student-Driven Program to Facilitate Scholastic Achievement in Computer ...

Proceedings of the ASEE Annual Conference and Exposition (2009, Austin, TX) (2009)

Jennifer Leopold and Daniel R. Tauritz

This paper describes experiences and lessons learned from a National Science Foundation-funded Science, Technology, Engineering, and Mathematics (STEM) scholarship program ...

Protein Secondary Structure Prediction using Rule Induction from Coverings

Proceedings of the IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (2009, Nashville, TN) (2009)

Leong Lee, Jennifer Leopold, Ronald L. Frank and Anne M. Maglia

With the increase of data from genome sequencing projects comes the need for reliable and efficient methods for the analysis ...

Alternative Splicing: Associating Frequency with Isoforms

Proceedings of the IEEE 7th International Symposium on Bioinformatics and Bioengineering (2007, Boston, MA) (2007)

Anuradha Roy, Jennifer Leopold and Anne M. Maglia

In the simplest model of protein production, a gene gives rise to a single protein; DNA is transcribed to form ...