Information Systems

Faculty

Shaddy Abado

Shaddy Abado has instructed a number of undergraduate and graduate classes and has presented research at national conferences and published papers in peer-reviewed journals and conference proceedings. He has a PhD in aerospace and mechanical engineering from the University of Notre Dame, researching light-fluid interactions and developing sensors and numerical methods to study and analyze them. 

Currently teaching:Practical Data Science Using Machine Learning

Edward Arroyo

Edward Arroyo has worked for both on-ground and online universities in a variety of capacities during the last fifteen years. During that period he has taught undergraduate and graduate mathematics courses as well as undergraduate programming and theoretical computer science courses. In addition, he worked for several years outside of academia as a test engineer for a digital media company. His research interests and publications are in the areas of combinatorics and image reconstruction algorithms in computerized and discrete tomography. He holds a Ph.D. in pure mathematics from the Graduate School and University Center of CUNY.

Currently teaching:Math for Modelers

Carrie Dugan

Carrie Dugan has held a variety of positions instructing and writing curriculum for all undergraduate levels of online mathematics courses. In addition to her teaching experience, she has numerous years of actuarial experience working with both defined benefit pension plans and self-funded health care plans. Some of her current research interests include character theory, graph theory, and game theory. She holds a PhD in pure mathematics from Kent State University and a BS in mathematics with a minor in computer science from Marshall University.

Currently teaching:Introduction to Statistical Analysis
Math for Modelers

Lawrence Fulton

Lawrence Van Fulton is an assistant professor in the Rawls College of Business at Texas Tech University. His research interests include the application of simulation, optimization, statistics, and decision science to aeromedical evacuation, sustainability, and healthcare in general. Prior to his arrival at Texas Tech University, Fulton was an assistant professor in the CIS&QM Department of the McCoy School of Business, Texas State University. He has published in journals including Interfaces, Simulation, IIE Transactions on Healthcare Systems Engineering, Journal of Healthcare Management, Journal of Nursing Administration, as well as many others. Fulton serves on the Editorial Board for Military Medicine and previously for the Journal of Defense Modeling & Simulation. He is currently a co-PI on a $500,000 medical research grant sponsored by the Department of Defense. Prior to his work in academia, Dr. Fulton served a quarter of a century in the U.S. Army Medical Department, attaining the rank of colonel prior to his retirement. His earned PhD in management science is from the University of Texas at Austin, and he holds five separate masters degrees, including a master of science in statistics from UT Austin.

Currently teaching:Introduction to Statistical Analysis

Phillip Goldfeder

Philip Goldfeder has worked as a business consultant with Booz & Company (formerly Booz Allen and Hamilton) and as an educator for both traditional and online universities. He is currently a faculty member at several online universities. His consulting specialization is mergers and acquisitions, primarily in the spirits and automobile industries. He earned a PhD in applied mathematics from Northwestern’s Robert R. McCormick School of Engineering and Applied Science.

Currently teaching:Math for Modelers

Don Graham

Don Graham has worked for nearly 20 years in engineering and management for Lockheed Martin, AVIS, nad the NYC Board of Education. Graham has taught in higher education on topics ranging from college math, logistics systems, and supply chain optimization. Graham earned his PhD in Transportation Systems Optimization from the University of Central Florida.

Currently teaching:Math for Modelers

Sunil Kakade

Sunil Kakade has over 18 years' experience in various technical and leadership roles focused on lT transformation initiatives, analytics driven software development and big data technologies. Sunil is a big data and data science evangelist with hands-on expertise in implementing Hadoop and NoSQL technologies. Sunil leads the architecture and delivery of business systems for a fortune 100 company. His areas of interests include machine learning, data science, legacy systems modernization and open source technologies. His research papers have been presented at multiple international conferences and published in technical journals. He has patents pending in areas of IT and retail processes. Kakade has a MS in information technology and management from the Illinois Institute of Technology at Chicago and a MS in mechanical engineering from the Indian Institute of Technology, Madras, researching applications of artificial intelligence to manufacturing processes.

Currently teaching:Big Data Management and Analytics

Matthew McCallum

Matthew McCallum works as a statistical analyst and predictive modeler for Fireman’s Fund Insurance Company. McCallum has worked in predictive analytics as a consultant for algorithmic options traders and financial advisers. He also has more than 10 years’ experience teaching various levels of mathematics at Chicago-area universities, both online and in person. McCallum earned his PhD in applied mathematics from Northwestern.

Currently teaching:Introduction to Statistical Analysis

Roy Sanford

Roy Sanford specializes in probability theory, statistical methods, and quality management. He has worked as a consultant, educator, and executive within service, manufacturing, governmental, technical, educational, and research organizations. He is committed to continuous improvement and organizational excellence. Sanford was vice president of quality management at Baxter Healthcare Corporation. He served as a Malcolm Baldrige National Quality Award Examiner for four years. He was inducted into the University of Minnesota Duluth Academy of Science and Engineering in 2009. He has given numerous presentations at professional and industrial forums and has published in the American Journal of Hospital Pharmacy, Communications in Statistics, Simulation, and Computation and the National Productivity Review. He holds a PhD in biometrics and an MS in statistics from the University of Minnesota, as well as an MBA from the Keller Graduate School of Management.

Currently teaching:Introduction to Statistical Analysis

Gabriel Schofield

Gabriel Schofield has more than 20 years of experience as a financial services technology professional. Schofield enjoys applying technology to solve complex business problems and has led teams that have delivered industry-leading solutions for a variety of front and back-office financial applications. Schofield has coauthored a book, MCSA Guide to Microsoft SQL Server 2012 and has been a proactive member of several industry groups that define financial data and messaging standards. Schofield has an MBA from Durham University, an MS in information systems from Northwestern University, and is a CFA charterholder.

Currently teaching:Practical Data Science Using Machine Learning

Bradley Smith

Irene Tsapara

Irene Tsapara has worked in the financial industry for 5 years as a financial engineer, building financial algorithms for trading systems at Goldman Sachs/Hull Trading and Hedge Fund Research company. She has taught for over 20 years in universities across the US and Europe and speaks English and Greek fluently and she has a good knowledge of French and Spanish. Tsapara earned her PhD in mathematical computer science from University of Illinois with a focus in computational learning theory and universal algebra. She holds a masters in computer science from University of Illinois and a bachelors in mathematics from University of Patras.

Currently teaching:Introduction to Statistical Analysis