Ethan Grantham

Undergraduate research assistant Summer 2019

Ethan is a Junior Computer Science and Psychology Major from Charleston, South Carolina. His research project consists of recreating existing simulation models (specifically agent-based) of health behaviors and challenging the validity of the ways in which they simplify reality through assumptions. He is currently considering his options beyond undergrad at Furman University, including graduate school and a possible career in software development.

James Keith

Undergraduate research assistant Summer 2019

James is a Computer Science Major from Annapolis, Maryland. With his partner, Boone Tison, he is researching the quality assessment of agent-based model reports in the public health field. He hopes to be working in the Computer Science field after his four years at Furman University.

Jared Kohrt

Undergraduate research assistant Summer 2019

Jared is a biology and computer science major from Greensboro, North Carolina. His research project is to create a computational model of HIV that considers medication adherence and viral mutations. He hopes to continue his education after his time at Furman University and eventually work in the biomedical field.

Max Norman

Undergraduate research assistant 2018-2019

Max is a senior computer science major at Furman University from Seneca, South Carolina. His research involves analyzing the effects of success and failure cases within case-based reasoning and how these cases affect the structure of mental models as causal maps. Currently he is looking for a career in industry as a software engineer before going to graduate school.

Caleb Roberson

Undergraduate research assistant Summer 2019

Caleb is a junior Applied Mathematics and Computer Science double major at Furman University. His project revolves around machine learning for public health. He will work with many datasets in public health, analyzing them using decision trees, support vector machines, and neural networks. After graduation Caleb plans on pursuing a masters degree in either data science or cyber security.

Boone Tison

Undergraduate research assistant Summer 2019

Boone Tison is from Dallas, Texas and is a member of the graduating class of 2022. Boone intends to declare as a computer science major. Boone's project, working with James Keith, is to analyze and evaluate the quality assessment sections from obesity computer models. Boone will create a matrix of the data he collects and write a paper summarizing the strengths and weaknesses and make recommendations concerning improving quality assessment. Boone does not know what he wants to do after graduating, but is considering working in the computer modeling field.

Sara Vanovac

Undergraduate research assistant 2018-2019

Sara started doing big data research in Fall 2018, on a collaboration with Dr Arlinghaus from Germany. She has developed scripts to analyze terabytes of data, and was selected for an oral presentation at NetSci'19, the annual flagship conference on complex networks. She obtained her B.S. in physics, computer science, and applied mathematics in Spring 2019. After her graduation, she worked for Furman University to analyze institutional data.

Zachariah Dick

Student Intern

Zach is currently an undergraduate at Northern Illinois University, pursuing a B.S. in Computer Science and Mathematics. He joined the lab in the Spring semester of 2018 through an independent study. His goals through this independent study are to learn research techniques, gain research experience, and identify his own research interests.

Eric Lavin

MS Spring 2018

Eric Lavin started as an undergraduate student at Northern Illinois University. He did his honors thesis with Dr Giabbanelli, and decided to keep working in the lab as a graduate student. His first publication was in the Winter Simulation conference, and his second publication in the Spring Simulation multi-conference. His SpringSim paper won the awards for best paper in the conference track, and for best paper overall. Eric is particularly experienced working in data science (including simulations and machine learning) using Python and statistics.

Masters Thesis: Assessing and supporting the use of fuzzy cognitive maps to simulate complex phenomena

Joshua DeVita

Undergraduate Research Assistant 2018

Joshua DeVita joined the lab as a senior undergraduate at Northern Illinois University, perusing his degree in Computer Science with an emphasis on computation. Experienced working with C/C++, Java, and Python, he programmed a simulation engine for HIV. His engine is able to handle several order of magnitudes more cells than previous engines, which opens exciting avenues for simulations of the entire human body.

Vishrant Gupta

Graduate Research Assistant 2017-2018

Vishrant Gupta was a graduate research assistant. He started as volunteer in the DACHB lab in Summer 2017, and continued until the end of Spring 2018. His work combined client/server programming with databases (both SQL and NoSQL technologies such as Neo4J) and graph algorithms (particularly graph comparison). He was the lead programmer for ITACM v2 and v3. After his experience programming in the lab, he received an offer from the software industry in the greater Chicago area as developer.

Published work: An online environment to compare students' and expert solutions to ill-structured problems

Nick Rosso

Undergraduate Research Assistant 2017-2018

Nick Rosso joined the lab as a Junior undergraduate at Northern Illinois University working towards a B.S. in Computer Science and a Minor in Journalism. As an avid cyclist, data-fiend, and amateur photographer Nick is interested in computers and loves being able to connect his favorite past times to his interests. Nick was first supported in summer 2017 by the Summer Research Program (SROP), and then he stayed in the lab for two more semesters. Starting as a novice in the Data mining/Machine learning world, Nick significantly expanded his knowledge and his work on mining food data has appeared in the highly-selective JMIR journal series.

Published work: Applying data mining to the UK National Diet and Nutrition Survey

Magda Baniukiewicz

MS Fall 2017

Magda Baniukiewicz joined the DACHB Lab in 2015, after completing her undergraduate degree in Computer Science at Wroclaw University of Technology, Poland. Her thesis combined simulations, visualizations, and network analysis. A prolific young researcher, by the time she graduated in 2017, she had published two articles, had two more under review, and received two awards. Her thesis was passed with no revision. Shortly after, she became a Junior Data Analyst at Qiagen Business Services in her home city, in Poland.

Masters Thesis: Analyzing, Simulating, and Visualizing Complex Social Systems

Venkata Sai Sriram Pillutla

MS Spring 2017

Venkata Sai Sriram Pillutla was a masters student and a research member of the DACHB lab in the department of Computer Science, at Northern Illinois University. His thesis, supervised by Dr. Giabbanelli, focused on text analytics, in combination with visualization and simulation techniques. Before joining Dr. Giabbanelli's lab, Sriram graduated from Acharya Nagarjuna University in India, and worked as software engineer. After his thesis was passed with no revisions, Sriram joined Argonne National Laboratory as research intern. He remains keenly interested in Big Data and text analytics.

Masters Thesis: Helping users learn about social processes while learning from users: developing a positive feedback in social computing.

Jacqueline Salim

Research Rookie 2016-2017

Jacqueline was funded by the Research Rookies program at Northern Illinois University to get a research experience, and she chose to join the DACHB lab. She discovered research by helping others on multiple projects. With Magda Baniukiewicz, she ran a study on novel visualizations to make sense of large simulation datasets. She also worked with Eric Lavin to analyze the literature on computational models for obesity. Jacqueline was 'the voice' of the lab by producing some of the videos explaining our work. While in the lab, she was also in the Honors Program, and a Presidential Scholar.

Hendra Sandhi Firmansyah

PhD Student

Hendra visited Dr Giabbanelli to perform his doctoral research, thanks to support from the republic of Indonesia (PKPI programme). The focus of his doctoral thesis is on smart cities. He learned the use of conceptual modeling and Fuzzy Cognitive Maps (FCMs) with Dr Giabbanelli, resulting in a 2019 article in IEEE Access.

Published work: Identifying the Components and Interrelationships of Smart Cities in Indonesia: Supporting Policymaking via Fuzzy Cognitive Systems

Thrishma Reddy

MITACS Graduate Student

Thrishma was supported by MITACS Canada for a collaboration between her host supervisor (Dr Vijay Mago at Lakehead University) and Dr Giabbanelli. She came to the lab in Fall 2018. Her experience resulted in a paper at the 2019 HCI conference, on the use of voice assistant (Amazon Alexa) to guide participants in creating causal maps. She successfully defended her masters thesis in Spring 2019.

Published work: The artificial facilitator: guiding participants in developing causal maps using voice-activated technologies

Mannila Sandhu

MITACS Graduate Student

Mannila was supported by MITACS Canada to visit the lab in Fall 2018, in the context of a collaboration between Drs Vijay Mago (Lakehead University) and Giabbanelli. Her stay was very productive, as she authored two articles. One was published in the 2019 HCI conference, showing how to validate conceptual models by mining large volumes of Twitter data, and the other was submitted to a journal, with a focus on Twitter for politics (in collaboration with Dr Danielle Vinson). Mannila successfully defended her thesis in Spring 2018, and was co-advised by Drs Mago and Giabbanelli.

Published work: From social media to expert reports: the impact of source selection on automatically validating complex conceptual models of obesity