Jonathan P. Leidig

ORCID: 0009-0008-6570-964X
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About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Semantic Web and Ontologies
  • Research Data Management Practices
  • Advanced Data Storage Technologies
  • COVID-19 epidemiological studies
  • Advanced Database Systems and Queries
  • demographic modeling and climate adaptation
  • Distributed and Parallel Computing Systems
  • Data-Driven Disease Surveillance
  • Data Quality and Management
  • Information Systems Education and Curriculum Development
  • Remote-Sensing Image Classification
  • Multimedia Communication and Technology
  • Human Mobility and Location-Based Analysis
  • Coral and Marine Ecosystems Studies
  • Service-Learning and Community Engagement
  • Biomedical Text Mining and Ontologies
  • Web Data Mining and Analysis
  • Complex Network Analysis Techniques
  • Simulation Techniques and Applications
  • Geographic Information Systems Studies
  • Image Retrieval and Classification Techniques
  • Diverse Educational Innovations Studies
  • Hydrological Forecasting Using AI
  • Traditional Chinese Medicine Studies

Grand Valley State University
2007-2024

University of Illinois Urbana-Champaign
2023

Harvard University
2023

Purdue University System
2023

St. Pölten University of Applied Sciences
2023

Harvard University Press
2023

Virginia Tech
2009-2012

Nature Inspires Creativity Engineers Lab
2010

We aim to determine the economic and social impact of typical interventions proposed by public health officials preventive behavioral changes adopted private citizens in event a "flu-like" epidemic.

10.1016/j.epidem.2010.11.002 article EN cc-by-nc-nd Epidemics 2010-11-30

We discuss an interaction‐based approach to study the coevolution between sociotechnical networks, individual behaviors, and contagion processes on these networks. use epidemics in human populations as example of this phenomenon. The methods consist developing synthetic yet realistic national‐scale networks using a first‐principles approach. Unlike simple random graph techniques, combine real‐world data sources with behavioral social theories synthesize detailed contact (proximity)...

10.1609/aimag.v31i1.2283 article EN AI Magazine 2010-03-01

Unmanned Aerial Vehicles (UAVs) are becoming more prevalent, capable, and less expensive every day. Advances in battery life electronic sensors have spurred the development of diverse UAV applications outside their original military domain. For example, Search Rescue (SAR) operations stand to benefit greatly from modern UAVs since even simplest commercial models equipped with high-resolution cameras ability stream video a computer or portable device. As result, autonomous unmanned systems...

10.1109/naecon.2018.8556642 article EN 2018-07-01

Digital libraries (DLs) have evolved since their launch in 1991 into an important type of information system, with widespread application. This volume advances that trend further by describing new res

10.2200/s00565ed1v01y201401icr032 article EN Synthesis lectures on information concepts, retrieval, and services 2014-03-28

Complaints often expressed about undergraduate computer science or information systems programs,,, is that students graduate with adequate technical skills but lack an understanding of organizational processes, team project experience, and the ability to integrate technology in setting. To address this, educators have historically created service-learning group projects, which leverage local organizations. These types projects can be very rewarding for offer excellent educational...

10.1145/1140123.1140165 article EN ACM SIGCSE Bulletin 2006-06-26

Networks are an effective abstraction for representing real systems. Consequently, network science is increasingly used in academia and industry to solve problems many fields. Computations that determine structure properties dynamical behaviors of networks useful because they give insights into the characteristics We introduce a newly built deployed cyberinfrastructure (CINET) performs such computations, with following features: (i) it offers realistic from literature various random...

10.1109/escience.2012.6404422 article EN 2012-10-01

10.1007/s10844-014-0342-3 article EN Journal of Intelligent Information Systems 2014-11-15

The emergence of Ebola in West Africa is worldwide public health concern. Successful miti- gation epidemics requires coordinated, well-planned intervention strategies that are specific to the pathogen, transmission modality, population, and available resources. Modeling sim- ulation field computational epidemiology provides predictions expected outcomes used by policy planners setting response strategies. Developing up date models population structures, daily activities, movement has proven...

10.1016/j.procs.2015.05.197 article EN Procedia Computer Science 2015-01-01

We propose a digital library design to support epidemic and public health simulation experiments in which model ontologies direct collection organization, user interface construction, discovery. have developed SimDL instantiation of the ontological tailored for typical experimentation workflow. relies on an XML Schema description form domain specific ontology. show this approach useful building libraries collaborative efforts.

10.1145/1998076.1998091 article EN 2011-06-13

Complaints often expressed about undergraduate computer science or information systems programs,,, is that students graduate with adequate technical skills but lack an understanding of organizational processes, team project experience, and the ability to integrate technology in setting. To address this, educators have historically created service-learning group projects, which leverage local organizations. These types projects can be very rewarding for offer excellent educational...

10.1145/1140124.1140165 article EN Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education 2006-06-26

Abstract Background HPTLC is a widely used and accepted technique for identification of botanicals. Current best practices involve subjective comparison HPTLC-generated images between test samples certified botanical reference materials based on specific bands. Objective This research was designed to evaluate the potential cutting-edge machine vision-based learning techniques automate botanicals using native image data. Method from Ginger its closely related species common adulterants were...

10.1093/jaoacint/qsae091 article EN Journal of AOAC International 2024-11-16

Network science research aims to understand the underlying properties of complex networks. Large-scale modeling and simulation is core network research. Existing systems take a long time run large experiments with high performance computing resources. Scientific data management currently lack efficiency needed support this type computation data-intensive Memoization provides ability index, archive, reuse frequently requested expensive re-compute datasets. In paper, domain independent...

10.1016/j.procs.2013.05.205 article EN Procedia Computer Science 2013-01-01

10.2316/p.2011.755-045 article EN Computational Intelligence and Bioinformatics / 755: Modelling, Identification, and Simulation 2011-01-01

Designing courses that are taken by diverse student audiences is complicated differing technical backgrounds and desired future roles. One proposed approach to course design bundles assignments into parallel tracks for students self-select complete. An initial set of three computing laboratory-based were developed tested in the classroom. Each track option utilized different visualization software libraries with a range expected pre-requisite knowledge abilities. Student instructor...

10.1109/eduvis60792.2023.00008 article EN 2023-10-22

Simulation software that implements intelligent agents is often dependent on incomplete and rapidly out-dated datasets (e.g., surveys, census records, behavior tracking). The approach presented here attempts to address problem by utilizing verified mobile phone as sources for modeling user geospatial mobility. Computational epidemiology simulation systems (chosen a case study) are used predict the spread of disease; they require synthetic populations in which exhibit socially mix. In order...

10.5555/3140065.3140072 article EN 2017-07-09

Recognizing individual in-situ objects, mapping spatial layouts, and monitoring environmental changes are important tasks in oceanic observation. Advancements deep learning convolutional neural networks reliably classify objects found within images. Training evaluating models for classifying multimedia images video frames requires large, labeled training datasets. This project proposed implemented methods developing image collections of over 40 coral species. The curated the required to...

10.1109/oceans47191.2022.9976984 article EN OCEANS 2022, Hampton Roads 2022-10-17

There are numerous exact string matching algorithms that have similar performance characteristics. Which algorithm is best depends on the length of pattern being searched for, number letters in alphabet and particular architecture where program executed. Results experiments different recent microprocessors, with word lengths reported.

10.1109/eit.2007.4374455 article EN IEEE International Conference on Electro Information Technology 2007-05-01
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