News
3/2023 We are looking for participants who are willing to contribute to the scientific research "MindPrint: Exploring uniqueness of individuals' brain signals" LBRN Projects.
Purpose: This research requires data collection from volunteer students age 18 or up. The participants will wear an EEG headset to acquire their brain signals under the stimuli such as music and pictures.
Voluntary Participation: Participation in this study is voluntary. I understand that I am free to withdraw my consent to participate in this study at any time. Refusal to participate or withdrawal will involve no penalty. Each participant will receive a $100 stipend per year after completing data collection in Fall and Spring semesters. Participants who complete all sessions until Spring 2025 will receive a bonus stipend of $50.
Confidentiality: I understand that any information about myself obtained as a result of my participation in this research will be kept confidential. I also understand that my research records, just like my hospital records, may be subpoenaed by court order or may be inspected by federal regulatory authorities. In any publication that results from this research, neither my name nor any information that may identify my personal identity will be shared without my written consent. I am provided with a participant ID card having a nick name and ID number which may not linked to my name without my consent. I am aware that I am responsible to secure my participant ID card and will present at each data collection session.
Data Collection: The links for the headset system for data collection are pro-line-mobile-eeg, How-to-mount-semi-dry-saline-based-EEG-cap. Potassium salt (potassium chloride) or table salt (sodium chloride) will be used as a saline to be absorbed by sponges. A medical-grade conductive paste may be used over the head skin to improve conductivity. 2 sessions will be held per semester. One session will be hold in the morning and the other one will be hold in the afternoon; each session will be a weak apart from each other. A session will last about an hour. A session may require to repeat on the same day or later if data collection fails. Data collection will be conducted by the end of Spring 2025.
8/2022 Full Project "MindPrint: Exploring uniqueness of individuals' brain signals" submitted to LBRN is approved for funding. $405,079, May 1, 2022 - April 30, 2025 . LBRN Projects.
7/1/2022 Data Science alumni Samuel Hickey donated $1,000 for supporting Data Science Research Lab.
2/13/2021 we presented our posters at 2021 LBRN Annual Meeting.
Ömer Soysal, Samuel Hickey, William Brown, Max Cole. Hierarchical Deep Fusion Learning for Computer Aided Detection of Tumors.
Ömer Soysal, Samuel Hickey, William Brown, Max Cole, Benjamin Cassel, David Shockley. Development of prototype fNIR System for Measuring Brain Hemodynamic.
8/31/2020 our paper was presented in “International Symposium on Multidisciplinary Studies" ISMSIT2020.
Ömer Soysal, Fettah Kıran, Jianhua Chen. Quantifying Brain Activity State: EEG analysis of Background Music in A Serious Game on Attention of Children, ISMSIT2020, Oct 22, 2020 -Oct 24, 2020.
7/21/2020 Data Science Research Group, initiated by Dr. Soysal, formed the Executive Committee. The EC members are William Brown (president), Samuel Hickey (vice president), Max Cole, David Shockley, Steele Russell.
7/1/2020 Dr. Soysal and his colleagues in Computer Science initiated Master of Science in Data Science under MS-ISAT.
7/1/2020 Dr. Soysal and his colleagues in Computer Science initiated Data Science concentration in the undergraduate program.
6/8/2020 The LBRN Virtual Research Summer Program started. The main goal of this project is to design a prototype Computer Aided Recognition (CAR) system for recognition of lung tumors utilizing the proposed hierarchical deep fusion-learning scheme. Dr. Soysal is the mentor of the project.