INTRODUCTION TO MEDICAL IMAGE PROCESSING

Coskun is teaching BMED 4783 in Fall 2021 and Fall 2022 at Georgia Tech

 Introduction to Medical Image Processing teaches students image analysis from micro-scale to macro-scale to process cellular and biomedical imaging data. Theoretical foundations and practical approaches will be presented.

Foundational Knowledge
1. Define the meaning of key terms related to image theories and signal processing.

Application and Integration
2. Use signal processing mathematics to capture and summarize image information.
3. Analyze the contents of an image and interpret interrelations of image properties.
4. Compare and contrast the differences between images from biomedical imaging modalities.
5. Demonstrate competence in image analysis software
6. Demonstrate competence in image statistics from the software platforms.    Human Dimension
7. Develop confidence in mastering challenging material.
8. Collaborate with other students to foster effective team work skills.

Caring Dimension
9. Recognize career opportunities in the field of image analysis.
10. Investigate the application of image analysis skills in the real-world applications

Lifelong Learning
11. Identify sources of information for future research.
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BIOMEDICAL SYSTEMS AND MODELING

Coskun is teaching BMED 3520 in Fall 2020, Spring 2021 and Spring 2022 at Georgia Tech

The course introduces juniors in BME to the field of computational systems biology.  It covers all typical aspects of biomathematical modeling, including: the choice of a modeling framework from among alternative approaches; the design of interaction diagrams; the identification of variables and processes; the design of systems models; standard methods of parameter estimation; the analysis of steady states, stability, sensitivity and gains; numerical evaluations of transients; phase-plane analysis; and the simulation of representative biomedical scenarios.  All theoretical concepts are exemplified with applications.

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PROBLEM BASED LEARNING

Coskun is teaching BMED 2250 in Spring 2020 at Georgia Tech

The biomedical engineering department uses the term problem-driven learning (PDL) to describe a suite of courses that have been informed by the problem-based learning (PBL) approach. Originally designed to prepare medical students for the clinic, the PBL curriculum was centered on having small teams of students diagnose the ailments of simulated patients, with the intended outcome that they would develop a deep understanding of the human body and the cognitive practices of diagnosis.
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DEMONSTRATION BASED LEARNING

Utilize hands-on visuals to enhance student's progress

We strongly believe that the lectures should be supported by live demonstrations that are relevant to the topic. Interactive education methodologies that can maintain the long-term retention of knowledge and information. Therefore, we follow active classroom strategy to improve the learning of our students.

ART AND SCIENCE

BioArt and NanoArt on the nanoscale and beyond
Advanced Materials 2015

Methods of forming and patterning materials at the nano‐ and microscales are finding increased use as a medium of artistic expression, and as a vehicle for communicating scientific advances to a broader audience. While sharing many attributes of other art forms, miniaturized art enables the direct engagement of sensory aspects such as sight and touch for materials and structures that are otherwise invisible to the eye. The historical uses of nano‐/microscale materials and imaging techniques in arts and sciences are presented. The motivations to create artwork at small scales are discussed, and representations in scientific literature and exhibitions are explored. Examples are presented using semiconductors, microfluidics, and nanomaterials as the artistic media; these utilized techniques including micromachining, focused ion beam milling, two‐photon polymerization, and bottom‐up nanostructure growth. Finally, the technological factors that limit the implementation of artwork at miniature scales are identified, and potential future directions are discussed. As research marches toward even smaller length scales, innovative and engaging visualizations and artistic endeavors will have growing implications on education, communication, policy making, media activism, and public perception of science and technology.

ENTREPRENEURSHIP

How to commercialize your research idea?
Lab on a Chip 2015

High-tech businesses are the driving force behind global knowledge-based economies. Academic institutions have positioned themselves to serve the high-tech industry through consulting, licensing, and university spinoffs. The awareness of commercialization strategies and building an entrepreneurial culture can help academics to efficiently transfer their inventions to the market to achieve the maximum value. Here, the concept of high-tech entrepreneurship is discussed from lab to market in technology-intensive sectors such as nanotechnology, photonics, and biotechnology, specifically in the context of lab-on-a-chip devices. This article provides strategies for choosing a commercialization approach, financing a startup, marketing a product, and planning an exit. Common reasons for startup company failures are discussed and guidelines to overcome these challenges are suggested. The discussion is supplemented with case studies of successful and failed companies. Identifying a market need, assembling a motivated management team, managing resources, and obtaining experienced mentors lead to a successful exit.