Work with thought leaders and academic experts in network science

Companies can benefit from working with network science experts in various ways. These experts can analyze and optimize complex networks, such as supply chains or social networks, to improve efficiency and effectiveness. They can also develop algorithms and models to predict network behavior and identify vulnerabilities. Additionally, network science researchers can provide valuable insights into network dynamics, helping companies understand how information and influence flow within their networks. By collaborating with network science experts, companies can gain a competitive edge, enhance decision-making, and uncover new opportunities for growth.

Researchers on NotedSource with backgrounds in network science include Michael Sebek, Edoardo Airoldi, Louis Shekhtman, Ganesh Bagler, Viplove Arora, Rachith Aiyappa, Shwetha Koushik Manchinahalli Srikanta, M Abdullah Canbaz, Ph.D., and Alexander Gates.

Michael Sebek

Boston, Massachusetts, United States of America
14 Years Experience
Northeastern University
Education

Truman State University

Bachelor of Science, Chemistry / May, 2012

Kirksville, Missouri, United States of America

Saint Louis University

Master of Science, Chemistry / May, 2014

St Louis, Missouri, United States of America

Saint Louis University

Ph.D., Chemistry / December, 2017

St Louis, Missouri, United States of America
Experience

Truman State University

Undergraduate Researcher / August, 2010May, 2012

Constructed a procedure to apply sol-gel thin films to fiber optic cables, Performed Scanning Electron Microscopy to assess the quality of the coating | Skills: Sol-Gel Preparation, UV-Vis Spectroscopy, Scanning Electron Microscopy

Saint Louis University

Graduate Teaching Assistant / August, 2012May, 2017

Prepared and taught labs for Analytical Chemistry I, Physical Chemistry II, General Chemistry I and II

Saint Louis University

Graduate Researcher / July, 2012December, 2017

 Created a method to construct and apply networks to units of electrochemical reactions  Explored the impact of network topology and unit heterogeneity on network behavior  Built code in LabVIEW, MATLAB, and R to collect and analyze data as well as to simulate the experiments  Designed community outreach demonstration experiments for the research | Skills: Potentiometry, Anode-Cathode Systems, Electrochemical Cells, LabVIEW, MATLAB, R, TeXworks, 3D printing, Autodesk Eagle, AutoCAD

Most Relevant Research Expertise
network science
Other Research Expertise (6)
food science
electrochemistry
nonlinear dynamics
Mathematical Physics
Applied Mathematics
And 1 more
About
Michael Sebek is a highly educated and experienced chemist with a passion for research and teaching. He received his Bachelor of Science in Chemistry from Truman State University in 2012, where he conducted undergraduate research in the field of analytical chemistry. He then went on to earn his Masters and Ph.D. in Chemistry from Saint Louis University by 2017, where his research focused on the interplay between network science and electrochemistry. After completing his Ph.D., Michael continued his research as a Post-Doctoral Researcher at Northeastern University, where he works in food science, network medicine, and AI/ML. His work has been published in several peer-reviewed journals and has been presented at national and international conferences.

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Example network science projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on network science?

Optimizing Supply Chain Networks

A network science expert can analyze a company's supply chain network to identify bottlenecks, optimize routes, and improve overall efficiency. By applying network analysis techniques, they can help reduce costs, minimize delivery times, and enhance customer satisfaction.

Detecting Fraudulent Networks

Network science researchers can develop algorithms to detect and analyze fraudulent networks, such as money laundering or cybercrime networks. By identifying patterns and anomalies in network data, they can help companies prevent financial losses and protect their assets.

Enhancing Social Media Marketing

By leveraging network science, companies can gain insights into the structure and dynamics of social networks. This knowledge can be used to optimize social media marketing strategies, identify key influencers, and target specific audience segments more effectively.

Improving Transportation Networks

Network science experts can analyze transportation networks to optimize routes, reduce congestion, and improve overall efficiency. By considering factors such as traffic flow, connectivity, and accessibility, they can help companies enhance logistics operations and reduce transportation costs.

Strengthening Collaboration Networks

Collaboration is essential for innovation and growth. Network science researchers can analyze collaboration networks within companies or across industries to identify opportunities for collaboration, improve knowledge sharing, and foster innovation.