-
Mike Sserunjogi at Purdue University, United States
Mike Sserunjogi is a Ph.D. candidate in Agricultural and Biological Engineering at Purdue University, with a Master’s degree from Iowa State University and a Bachelor’s degree from Makerere University in Uganda. His research focuses on particle technology, postharvest, and feed technology, with expertise in AI modeling, deep learning, and simulation techniques. He has a strong background in both academic research and industry applications, with experience in crop modeling, grain storage management, and automation technologies.
Author Metrics:
Mike Sserunjogi has demonstrated notable contributions to the field through his publications, presentations, and awards. His research has been recognized through awards such as 1st place in the ABE-GIRS 3-Minute Thesis competition and 1st place in the NC-213 U.S. Quality Grains Research Consortium poster presentation. He has also presented his work at prestigious conferences like ASABE Annual International Meetings and has co-authored publications in reputable journals.
Google Scholar Profile
11 citations, an h-index of 2, h-index: The h-index is a metric that attempts to measure both the productivity and impact of a researcher’s work. It is defined as the maximum value of h such that the researcher has published h papers that have each been cited at least h times. For example, an h-index of 2 means that the researcher has at least 2 papers that have been cited at least 2 times each.
Education:
Sserunjogi holds a Ph.D. in Agricultural and Biological Engineering from Purdue University, an MSc. in Agricultural and Biosystems Engineering from Iowa State University, and a BSc. in Agricultural Engineering from Makerere University. His academic journey has equipped him with a strong foundation in engineering principles and specialized knowledge in his field of study.
Research Focus:
Sserunjogi’s research focuses on particle technology, particularly in the area of industrial dust particle monitoring and management. He has conducted extensive research on suspended dust particle characterization, monitoring particle concentration, and utilizing deep learning for predicting industrial dust explosions. Additionally, his work includes automation of disturbance machines for insect management in stored grains.
Professional Journey:
Throughout his career, Sserunjogi has held various research and development roles in academia and industry. He has worked as a Graduate Research Assistant at Purdue University’s CP3 Lab and as an R&D Scientist at Amber Agriculture, Inc. and Iowa State University. Additionally, he has experience as a Crop Modeling Engineer at CNH-Industrial, where he developed virtual crop models and conducted big data analysis.
Honors & Awards:
Sserunjogi’s contributions to research have been recognized with several awards and honors. Notable accolades include 1st place awards in competitions such as the ABE-GIRS 3-Minute Thesis and the NC-213 U.S. Quality Grains Research Consortium poster presentation. He has also received awards for his presentations at conferences like ASABE Annual International Meetings and the Norman Borlaug Lecture at Iowa State University.
Publications Noted & Contributions:
Sserunjogi has made significant contributions to the field through his publications in reputable journals such as Advanced Powder Technology and the Journal of Stored Products Research. His research has covered topics including light extinction coefficient correlation with dust particle properties, mechanical stirring for insect suppression in stored grains, and wireless sensor utilization for grain quality monitoring.
Title: Periodic disturbance time interval for suppression of the maize weevils, Sitophilus zeamais Motschulsky (Coleoptera: Curculionidae) in stored maize (Zea mays L.)
- Authors: M Sserunjogi, CJ Bern, TJ Brumm, DE Maier
- Journal: Journal of Stored Products Research
- Volume: 94
- Page: 101875
- Citations: 5
- Year: 2021
Title: Physical disturbance as a non-chemical approach to control weevils in stored maize
- Author: M Sserunjogi
- Affiliation: Iowa State University
- Year: 2020
- Citations: 4
Title: Wireless sensors for quality monitoring and management of stored grain
- Authors: D Maier, M Sserunjogi, GR Aby, G Obeng-Akrofi, J Varikooty
- Publication: Iowa State University Research and Demonstration Farms Progress Reports 2020 (1)
- Citations: 2
- Year: 2021
Title: Mechanical stirring of bulk-stored maize in steel bins to suppress maize weevils and other beetle populations
- Authors: M Sserunjogi, CJ Bern, TJ Brumm, DE Maier, TW Phillips
- Journal: Journal of Stored Products Research
- Volume: 106
- Page: 102281
- Year: 2024
Title: Stirring of Maize Stored in Farm-Sized Grain Bins to Control Maize Weevils
- Authors: M Sserunjogi, C Berns, TJ Brumm, D Maier, T Phillips
- Publication: Iowa State University Research and Demonstration Farms Progress Reports 2019 (1)
- Year: 2020
Research Timeline:
Sserunjogi’s research journey spans from his Master’s studies at Iowa State University to his current Ph.D. candidacy at Purdue University. He has been actively involved in research projects focused on particle technology, postharvest engineering, and feed technology. His timeline includes experiences as a Graduate Research Assistant, R&D Scientist, and Teaching Assistant, contributing to both academia and industry.
Collaborations and Projects:
Sserunjogi has collaborated with various academic and industry partners on research projects related to his areas of expertise. His collaborations include working with professors and researchers from Purdue University, Iowa State University, and industry organizations such as CNH-Industrial and Amber Agriculture, Inc. Projects have ranged from developing AI models for dust particle monitoring to optimizing grain storage management techniques.
