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*Spring 2016 office hours (1/19/2016 - 5/6/2016): Tuesdays and Thursdays between 10:00am-11am and between 12:15pm-2pm. Wednesdays 11am-2pm.
Please still go ahead and drop me and email if you are planning to stop by during the office hours for your convenience, since I may occasionally have meetings which overlap with my office hours.
**I am always looking for motivated and hardworking undergraduate and graduate students who want to work on research projects as volunteers and potentially get independent study credits and/or MS thesis credits. Summer funding is available for those who are doing MS thesis during the summer. Volunteer students are given priority for possible paid GRA positions in the future, upon I receive funding.
Email me with an attached CV to inquire about possible projects & discuss the details. Also attaching your transcripts and any other supporting documents would be helpful. Please go over my research interests and publications, and email me what part of my research you would be interested in.

News:

  • Spring 2016: My collaborator Dr. Gopinath at Emory and I were awarded a two-year $554,000 research grant by the US Department of Defense (DOD) in order to do advanced analysis of fMRI data from Gulf War Veterans. The project is initially for two years and the planned start date is in September 2016.
  • Spring 2016: Awarded by the US Air Force Research Lab a summer faculty research grant to work at an AFRL facility on IR Imagers during the Summer of 2016. This is the 2nd time I obtained this competitive AFRL research award .
  • Fall 2015: Our paper, in collaboration with visiting student Sezgin Kacar, got published at the journal "Computer Methods and Programs in Biomedicine" The paper can be accessed here or in the Publications link above.
  • Fall 2015: Our paper, in collaboration with the TAMUC Ontological Semantics Lab at TAMUC, got published at the journal "Expert Systems with Applications" one of the top journals in Artificial Intelligence MS research link here , and Google Scholar link here . The paper can be accessed here or in the Publications link above. Also, in the news: Pride Online .
  • Summer 2015: Our paper, in collaboration with the collaborators at the US AFRL and in industry, got published at the Proceedings of the SPIE: Infrared Sensors, Devices, and Applications V, 2015. Find link here or in the Publications link above.
  • Summer 2014: My GAR Seetaramaraju (Raju) Jampana successfully defended his master's thesis in Computational Science and graduated! Congratulations Raju!
  • Summer 2015: I am away during the summer since I was awarded a summer research grant by the Air Force Research Lab Summer Faculty Research Program to do research at the Kirtland AFRL .
  • Summer 2015: (Hired) A paid GAR position, to work on an externally-funded data project, is available. Refer to this flyer for details and instructions how to apply.
  • Spring/Summer 2015: Looking for research participants, who will be compensated, for a 1-hour EEG experiment. Refer to this flyer for details.
  • Spring 2015: Our new journal paper on GPU-based dynamic functional connectivity analysis of fMRI data , got accepted by the Computerized Medical Imaging and Graphics Journal, Elsevier. It can be accessed here or downloaded here .
  • Spring 2015: Advanced Data Analysis Laboratory (ADALab), under the directorship of Dr. Sakoglu, is established at the department at Room Jour203. More details coming soon.
  • Fall 2014: My new course CSCI597/502 Statistics for Scientific Computation and Analysis is available in Fall 2014. It is now one of two prerequisite courses for the Computational Science MS program starting this Fall. See the the 2014/15 course catalog for details.
  • Fall 2014: (Hired) A graduate assistant researcher (GAR) position is available starting Fall. See this flyer for details.
  • Summer 2014: GARs Kushal Bohra and Johnny Esquivel successfully defended their theses and graduated! Congratulations Kushal and Johnny!
  • Summer 2014: Received the competitive TX A&M - Commerce Faculty Research Enhancement Project Award for collecting new EEG data, and developing and testing novel classification algorithms on EEG data.
  • Summer 2014: Our paper on GPU implementation of dynamic functional connectivity analysis for fMRI data is accepted for presentation at IEEE International Conference on Electro/Information Technology.
  • Spring 2014: Gave a seminar talk on utilizing space-filling curves for suboptimal and optimal 3-D to 1-D mapping and their application to map 3-D MRI data; on 4/16 as part of CSE Colloquium Series at SMU Lyle School of Engineering.
  • Spring 2014: Graduate students Kushal Bohra, Johnny Esquivel, undergraduate student Heriberto Flores and visiting scholar Devrim Akgun presented projects supervised by Dr. Sakoglu at the MCBIOS 2014 11th Annual Conference . Kushal got 2nd student presentation award with his work on toolbox development for multivariate classification of fMRI data. Congrats Kushal! Click here for the TAMUC news release on the achievement.
  • Spring 2014: Our accepted paper on optimal 3-D to 1-D brain mapping was presented at the ISCA's 2014 Bioinformatics and Computational Biology Conference (BICoB) . You can view the proceeding paper here .
  • Fall 2013: Gave multiple lectures on fMRI analysis methodologies at Sakarya University in November 2013, supported by TUBITAK.
  • Fall 2013: Our work on software development for multivariate classification and dynamic functional connectivity analysis for fMRI data got accepted for presentation at the IEEE EMBS 2013 Annual Medical Device Symposium in Dallas. Graduate students Kushal Bohra and Johnny Esquivel (co-advised by Dr. Mutlu Mete) presented the work. Also, another related project presented by graduate student Harish Ankam, also co-authored by Dr. Sakoglu and Dr. Mete, got the 3rd best presentation award. Click here for the TAMUC news release on the achievement.
  • Summer 2013: Received the competetive TX A&M - Commerce Faculty Research Enhancement Project Award for multivariate classification of fMRI data.
  • Summer 2013: The new 32 channel wireless dry EEG system has arrived! Click here to see a photo of it on me.
  • Spring 2013: Presented research results on the effects of variance on brain functional connectivity analysis, at the Annual Meeting of the ISMRM . Click here for the presentation.
  • Spring 2013: Received TAMUC Faculty Development Grant for traveling to ISMRM .
  • Spring 2013: Gave an invited seminar talk at the CSE Dept at Texas A&M - College Station.

Bio:

Dr. Ünal "Zak" Sakoglu is currently an Assistant Professor at Computer Science Department, Texas A&M University at Commerce. He had his BS in Electrical-Electronics Engineering from Bilkent University, Ankara, Turkey, and MS & PhD degrees in Electrical and Computer Engineering from University of New Mexico in Albuquerque, NM, USA. His graduate research involved developing signal/image processing and nonuniformity correction algorithms for better multispectral classification with infrared array sensors developed at UNM Center for High Technology Materials. He did his post-doctoral training at UNM Neurology Department BRAIN Imaging Center, and Mind Research Network in Albuquerque, where he developed and applied data analysis & classification techniques to functional magnetic resonance imaging data. He worked as Research Scientist at UT Southwestern Medical Center Neuroradiology Department, at Abbott Laboratories Translational Neuroimaging Group, and UT Dallas Center for Vital Longevity, where he analyzed different modalities of medical imaging data such as PET/CT, SPECT/CT, MRI and fMRI, during these positions. He is currently working on development and application of dynamic multivariate pattern classification, data-mining and machine-learning methods to functional neuroimaging data in order to advance the understanding of how the human brain is functioning and how it is effected by different brain conditions (different stimuli, disease, etc.). He is also working on developing better brain mapping, fMRI signal simulation and visualization techniques for improved dynamic analysis and classification of multidimensional neuroimaging data.
My Linkedin Profile.

Research:
I am currently working on development and application of dynamic multivariate pattern recognition, classification, data-mining and machine-learning methods to functional neuroimaging data (functional MRI, EEG, etc.) in order to advance the understanding of how the human brain is functioning and how it is effected by different brain conditions (different stimuli, age, disease, etc.). I am also on working on developing better brain mapping, fMRI signal simulation and visualization techniques for improved dynamic analysis and classification of multidimensional neuroimaging data. Click here for more details on my research activities.
I am looking for graduate students to work on research projects and to do masters thesis. Please contact me if you are interested in applying
to our department as a masters student and if you are interested in doing research.
I am also looking for undergraduate students to work on research projects. Please contact me for details.

Publications:
Here is a link to my journal articles and conference abstracts, presentations and proceedings if you would like to learn more about my research
background and interests. Links to full texts are available there for most of the publications. Please contact me if you have difficulty in downloading any.
Publications on Google Scholar

Teaching:

  • Spring 2016: CSCI 502 Statistics for Computational Science and Analysis
  • Spring 2016: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language) (2 Sections)
  • Fall 2015: CSCI 502 Statistics for Computational Science and Analysis
  • Fall 2015: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language) (3 Sections)
  • Spring 2015: CSCI 502 Statistics for Computational Science and Analysis
  • Spring 2015: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Spring 2015: CSCI 518 MS Thesis (1 thesis student)
  • Winter 2014/15: CSCI 530 Operating Systems (Online)
  • Fall 2014: CSCI 502 Statistics for Computational Science and Analysis
  • Fall 2014: CSCI 516 Section 1 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Fall 2014: CSCI 516 Online Section 1 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Fall 2014: CSCI 516 Online Section 2 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Fall 2014: CSCI 518 MS Thesis (1 thesis student)
  • Fall 2014: CSCI 490 Independent Honor's Readings
  • Summer 2014: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Summer 2014: CSCI 530 Operating Systems (Online)
  • Summer 2014: CSCI 518 MS Thesis (1 thesis student)
  • Summer 2014: CSCI 507 Computational Science Internship
  • Spring 2014: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Programming Language)
  • Spring 2014: CSCI 430 Operating Systems
  • Spring 2014: CSCI 518 MS Thesis (1 thesis student)
  • Spring 2014: CSCI 491 Independent Honor's Readings
  • Fall 2013: CSCI 516 Fundamental Concepts of Computing and Machine Organization (Assembly Language)
  • Fall 2013: CSCI 524 Analysis and Design of Software Systems
  • Fall 2013: CSCI 430 Operating Systems
  • Fall 2013: CSCI 518 MS Thesis (1 thesis student)
  • Spring 2013: CSCI 595: Research Literature & Techniques
  • Spring 2013: CSCI 430: Operating Systems
  • Spring 2013: CSCI 489: Independent Study
  • Fall 2012: CSCI 524 Analysis and Design of Software Systems
  • Fall 2012: CSCI 430 Operating Systems

Students and Visiting Scholars:

  • Neda Zarayeneh, volunteer graduate student, Development of Optimal Structural Brain Data Mapping, 10/2015 - in progress.
  • Dr. Oz Cetin, visiting scholar, Assoc. Prof at Sakarya University, Turkey, medical image analyses, 08/2015 - 12/2015.
  • Heriberto Flores, senior undergraduate honors thesis student, Structural Brain Data Mapping, 08/2013 - in progress.
  • Seetaramaraju Jampana, MS Student and Graduate Student Worker (supported by my FREP grant), Novel Time-Series Classification Analysis of EEG Data, 09/2014 - 08/2015. Graduated.
  • John Esquivel, MS Student and Graduate Research Assistant (supported by my FREP grant), Dynamic Analysis of fMRI Data, 08/2013 - 08/2014. Graduated.
  • Kushal Bohra, MS Student and Graduate Research Assistant (supported by my startup grant), Multivariate Classification of fMRI Data, 08/2012 - 08/2014. Graduated.
  • Dr. Dev Akgun, Visiting Scholar / Assistant Professor, Sakarya University, Turkey, GPU-based and parallel implementation of medical image analysis algorithms. 01/2014 - 06/2014.
  • Sezgin Kacar, visiting scholar & PhD student, Sakarya University, Turkey, biomedical signal processing tool development. 10/2013 - 12/2013.
  • Brandon Provost, senior undergraduate student, h-index-based CS Dept rankings, 01/2013 - 05/2013. Graduated.

Service:

  • Conference Organization Committee Memberships: SPIE 2016 Conference: Infrared Sensors, Devices, and Applications VI.
  • Reviewer for Journals: Brain Connectivity, NeuroImage, Human Brain Mapping, Journal of Medical Systems, Computational Statistics and Data Analysis, Imaging Science Journal, Optics Communications
  • Professional Memberships: IEEE, ACM, SPIE, ASEE. Past-member: ISMRM, ISCA, OHBM, CNS, SfN.
  • Faculty Supervisor of Local TAMUC ACM Student Chapter.
  • Coordinator, Computational Science Program (Fall 2012 - current)
  • Member, Graduate Curriculum Development Committee (Fall 2012 - current)
  • Member, Graduate Admission Committee (Summer 2013 - current)
  • Member, Graduate Faculty, Texas A&M University - Commerce (Fall 2012 - current)
  • Committee for the department's ABET accreditation application (Spring 2013 - current)

Other Links:

Thanks for stopping by and please check back soon!

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Unal Sakoglu, PhD
Assistant Professor, Computer Science Department
Coordinator, Computational Science Graduate Program
Texas A&M University - Commerce
2600 S Neal St Commerce TX
Phone (Office): +1 (903) 886-5242
Email:
Email-alternative:
Webpage, TX A&M System http://people.tamu.edu/~sakogluunal (most up-to-date)
Webpage, TX A&M-Commerce http://faculty.tamuc.edu/usakoglu
Webpage, Linkedin http://www.linkedin.com/in/unalsakoglu
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Copyright 2015 - Unal Sakoglu