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.

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.

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.