Contact Information

E-mail Address: [email protected]

Phone Number: (616) 331-2313

Research Interests

Visual analytics, data engineering pipelines, multimedia analysis, ML, modeling and simulation, and HPC.

Professional Activities

Graduate Program Director: Data Science and Analytics
Undergraduate Program Chair: Data Science and Analytics

Personal Interests

My hobby is having hobbies. I love everything about SCUBA diving (including coral reefs, marine biology, marine heritage / shipwrecks, spearfishing, and underwater photography).

Teaching Interests

Information visualization
Databases and data engineering

Recent Publications

• Minai, G., Bobeldyk, D. J., & Leidig, J. P. (2024). Evaluating the Impact of Diverse Marine Environments on Image Classification Performance. Halifax, Canada: IEEE OCEANS.
• Stern, N., Leidig, J. P., & Wolffe, G. S. (2024) Autonomous Machine Vision Software Suite for Botanical Identification. Association of Official Analytical Chemists/Collaboration (AOAC) International Annual Meeting and Exposition.
• Leidig, J. P. (2023). Developing Technical Skillsets in Diverse Audiences. EduVis Workshop Proceedings. IEEE VIS.
• Jang, H. G., Leidig, J. P., & Wolffe, G. S. (2023). Towards Species-Specific Coral Classification in Reef Monitoring Efforts. Clearwater Beach, FL: Proceedings of the 36th Florida AI Research Society (FLAIRS).
• Jang, H.K., Leidig, J., & Wolffe, G. (2023) Towards Species-Specific Coral Classification in Reef Monitoring Efforts. The International FLAIRS Conference Proceedings.
• Leidig, J. P. (2022) Coral Reef Image Collections for Machine Learning, Mapping, and Monitoring. IEEE OCEANS. 
• Leidig, J. P. (2022) Integrating IS2020 Elective Competencies in Data and Information Courses. ISCAP EDSIGCON - Information Systems and Computing Education Conference. 
• Biddanda, Bopaiah, B., Kendall, S., Weinke, A., Stone, I., Dugener, N., Ruberg, S., Leidig, J. P., Smith, E., Berg, M., & Wolffe, G. S. (2021). Muskegon Lake Observatory Buoy Data: Muskegon Lake, Michigan: 2011-2019. Environmental Data Initiative, doi: https://doi.org/10.6073/pasta/d1ef6101a1870a0b0bd54d3914dc13dc 
• VanEerden, C., & Leidig, J. P. (2021). Data Engineering and Analytics for Aquatic Observation Platforms. Fort Wayne, IN: Consortium for Computing Sciences in Colleges (CCSC). In-Person Student Showcase.
• Leidig, J. P., & Wolffe, G. S. (2019). Mining Human Behavior Datasets for Insight, Prediction, and Planning. In Braschler, Stadelmann, Stockinger (Eds.) (Ed.), Applied Data Science - Lessons Learned for the Data-Driven Business. (pp. 353-369). Springer. 
• O'Boyle, L. L., Carcamo Zuluaga, J. G., Brougham, S., Leidig, J. P., & Wolffe, G. S. (2019). Modeling Urban Activity for Public Health Planning. NetMob 2019. Oxford, UK. 
• Brougham, S., Leidig, J. P., & Wolffe, G. S. (2019). Interactive Visualization for Real-Time Geospatial Data with Plotly Dash. IEEE VAST 2019. Vancouver, BC, CA. 
• Domke, E., Leidig, J. P., Schymik, G. B., & Wolffe, G. S. (2018). Query Expansion in Enterprise Search. Halifax, Canada: 18th ACM Symposium on Document Engineering (DocEng '18).
• Carcamo Zuluaga, J. G., Leidig, J. P., Trefftz, C., & Wolffe, G. S. (2018). Deep Reinforcement Learning for Autonomous Search and Rescue. Dayton, Ohio: 70th IEEE National Aerospace & Electronics Conference (NAECON).
• Carcamo, J., Vogel, R. G., Terwilliger, A. M., Leidig, J. P., & Wolffe, G. S. (2017). Generative Models for Synthetic Populations. Proceedings of the Society for Modeling and Simulation (SCS)'s 49^th Summer Simulation Conference. 

Research with Students

I've worked with 40+ students on a wide variety of research projects. I currently am collaborating on student-led projects in machine learning, image classification / segmentation, NLP, visual analytics, marine ecology / coral reef data, and electronic medical records.

Updated Research Opportunities for Students

Feel free to send me an informal email to discuss potential research projects! My favorite part of my job is collaborating with students on undergraduate research projects, honor's projects, outside the classroom graduate R&D projects, master's projects/thesis, etc. Potential topics include:

• Data analytics: data visualization, visual analytics, geo-temporal data
• ML: Image classification, image segmentation
• Data engineering, databases, information retrieval, digital libraries
• Marine ecology, coral reef analysis