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Eric P. Kasten is a Research Scientist and Information Technologist at Michigan State University. Dr. Kasten has degrees in computer science and mathematics and has earned the Ph.D. degree in Computer Science and Engineering from Michigan State University. His dissertation addressed the integration of mechanisms, state maintenance, and decision making in adaptive and autonomous software systems that strive to self-adapt and self-customize to address changes in the environment or user requirements. In collaboration with ecologists, Dr. Kasten extended his prior work to address processing and analysis of environmental acoustics for census of bio-acoustic inhabitants and characterization of the soundscape to support monitoring and interpretation of terrestrial ecosystems. Currently, Dr. Kasten conducts research at the Global Observatory for Ecosystem Services and at the Remote Environmental Assessment Laboratory, designing algorithms for analysis of bioacoustics and to support reliable monitoring of terrestrial carbon stores using remotely sensed satellite imagery. Prior to receiving his Ph.D. degree, Dr. Kasten enjoyed a diverse career designing, implementing and deploying many different types of computer systems and software. His experience includes practical experience using software engineering techniques to design and implement software systems and algorithms for sensor platforms and data acquisition and analysis systems to support nuclear science and environmental research. Dr. Kasten is a firm believer that computational thinking enables us to conceptualize, modularize and approach discovery and innovation in fundamentally different ways than we might consider without a computing device. His current research interests focus on the design of algorithms for ecological informatics, computational biology, evolutionary computation, autonomous decision making in software, digital image analysis and remote sensing, and automated monitoring of environments and ecosystems. He is an active reviewer of journal and conference papers, and a member of IEEE, ACM, the American Society for Photogrammetry and Remote Sensing, and The Acoustical Society of America. He may be contacted at
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