Research Associates are an important part of the scholarly activities of the IBA. They play a vital role with their diverse expertise and backgrounds.
Evolutionary ecology, prairie habitat loss and fragmentation for the remaining native plants and their pollinators, community ecology, and quantitative and population genetics.
Computational modeling of evolving systems. Research interests are directed toward understanding evolving biological systems, including chromosomal inversions and other mutations, using computational techniques and statistical mechanics. Interests also include the efficiency of evolutionary processes used to solve problems in a biological environment.
The Hammond Lab is primarily interested in an epigenetic process called meiotic silencing by unpaired DNA (MSUD) and a common phenomenon in fungi known as spore killing, as well as viruses of fungi and fungi that infect plants.
Dr. Khusro is a practicing gastroenterologist and hepatologist. He also has additional expertise in endoscopic ultrasonography of the gastrointestinal tract. He has experience in teaching medical students and trainee physicians (interns and residents). His research interests are in the field of colon cancer screening. He is interested in evaluating factors that might influence patient uptake of various screening modalities.
Unal Ufuktepe, American University of Kuwait
Dr. Ufuktepe’s research interests and activities over the past 15 years have mainly centered around four areas: Probabilistic Analysis, Time Scales, Computational Mathematics, and Biomathematics. In addition to these research areas, He is also actively involved in methods of alternative effective mathematics education. More recently, he has started working in discrete dynamical systems, in particular modeling related to Host-Parasitoid and predator-prey systems.
Modeling and analysis of populations using nonlinear and stochastic dynamical systems (difference, differential and integral equations) and individual-based approaches (branching processes and agent-based simulation models).