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KS-LSAMP

Category: Seminars

KS-LSAMP Fall 2017 Events

Arts & Sciences Research Opportunities Fair
August 23, 2017
11:00 am – 1:00 pm
K-State Student Union, Ballroom

KS-LSAMP will have a table at the annual College of Arts & Sciences Research Opportunities Fair. Stop by to say Hi! and pick up some information for the coming semester.

KS-LSAMP Welcome Event
August 28, 2017
4:30 pm – 5:30 pm
K-State Student Union, Room 227

Join us during the first event of the semester to learn more about KS-LSAMP and how it can benefit you. We will talk about our events for the semester and you will have the opportunity to meet and interact with other students.

Scholarship Application Workshop
September 26, 2017
11:00 am – 12:00 pm
111 Leadership Studies Building

Are you thinking of applying to scholarships this semester or in the future? If the answer is yes, then plan to attend our workshop. We will be discussing the different components of a scholarship application, mainly the personal statement and letters of recommendation. The workshop will get you thinking about how to best complete these components. KS-LSAMP has scholarships available to eligible students, information regarding these scholarships will be discussed at the event.

Volunteer Opportunity
October 22, 2017
2:45 pm – 7:30 pm (Different time slots available)
Register HERE: http://bit.ly/VOLTSVDF17

Interested in sharing your STEM/K-State experience with others? KS-LSAMP is hosting an event for potential transfer students and we need your help! Opportunities to guide a scavenger hunt team, attend dinner or social event and interact with students are available. This is a chance to share your experiences with other students. Registration is open until October 6, 2017.

Interdisciplinary Talk – Mathematical Modeling with Multidisciplinary Applications in Biological Systems

The Math Department’s Center for Integration of Undergraduate, Graduate, and Postdoctoral Research (I-Center), the Kansas Louis Stokes Alliance for Minority Participation (KS-LSAMP) and the Institute of Computational Comparative Medicine (ICCM) are very pleased to announce a seminar by Dr. Majid Jaberi-Douraki. jaberi_majid

Information for the seminar is listed below:

Monday, September 26, 2016
4:00 – 5:00 pm
Big 12 Room, K-State Union

Dr. Majid Jaberi-Douraki’s interests lie in developing biological and epidemiological models. He is an expert in dynamical systems, control theory and numerical analysis. More precisely, Professor Jaberi-Douraki studies autoimmune and infectious diseases, mechanisms of relapse-remission, protein folding in endoplasmic reticulum, pathogen-host dynamics, and age-structured modelling, as well as optimal control strategies, and vaccination/treatment/isolation policies.

These talks are meant to be accessible to non-specialists in the area, including undergraduate students, and feature developing research in interdisciplinary fields. In particular, we aim to highlight career options for students in STEM, as well as a offer a discussion of how to prepare for work in this area. We hope to have students and faculty from various departments in the audience who may be interested in the subject.

Abstract for the event is as follows:

Mathematical modeling with multidisciplinary applications describe the interdisciplinary nature of quantitative modeling using numerical and theoretical algorithms. In this talk, we plan to develop and design mathematical modeling techniques and real-world processes with applications in diverse fields of biology. It is worthwhile to point out that the complexity of processes underlying mechanisms of biological systems and the difficulty in  examining them experimentally make the use of quantitative approaches and predictive mathematical models very compelling. For this purpose, we will combine a variety of methods from computational perspective to dynamical system modeling using statistical tools such as Bayesian inference and sensitivity analysis to illustrate how these techniques can be employed to study quantitative analysis of biological processes, predict fundamental and long-term behavior of biological systems, and find solutions to challenging problems which remain incompletely understood.