Okan Caglayan, Ph.D.
Associate Professor, Engineering Office Location: Bonilla Science Hall, Room 308 Phone: (210) 832-2118 Email: caglayan@uiwtx.eduDr. Caglayan is an Associate Professor of Engineering, in the Department of Engineering, Computing, and Cybersecurity (ECCS) at the University of the Incarnate Word (UIW). He received his Ph.D. degree in Electrical Engineering from the University of Texas at San Antonio. Prior to joining UIW, Dr. Caglayan worked as an engineering consultant in the Applied Power Division at Southwest Research Institute (SwRI). In addition, he was a lecturer in the Department of Physics and Astronomy at the University of Texas at San Antonio teaching Engineering Physics with emphasis on electromagnetism, mechanics, and optical science.
The scope of his research ranges from developing new techniques in the areas of digital signal/image processing with pattern recognition applications and computer vision to building innovative smart sensor and Internet of Things (IoT) networks, low power embedded systems by using machine learning, such as TinyML, in real-time implementations. His current work on both hardware and software levels has led to the design and implementation of intelligent sensor systems, smart wearable devices, multi-sensor integrated (sensor fusion) embedded devices, wireless sensor networks (WSN), biomedical sensors, sustainable (green) power management techniques, such as off grid solar powered systems.
Dr. Caglayan has had external research funding from local business partners, such as CPS Energy, SwRI, Power Engineering Services, (PES), and Mission Solar Energy. He is a member of Institute of Electrical & Electronics Engineers (IEEE) Signal Processing, Image Processing, Computer Societies, American Society for Engineering Education (ASEE), Eta Kappa Nu (IEEE Honor Society), Omicron Delta Kappa (The Circle and ODK Honor Society).
The scope of his research ranges from developing new techniques in the areas of digital signal/image processing with pattern recognition applications and computer vision to building innovative smart sensor and Internet of Things (IoT) networks, low power embedded systems by using machine learning, such as TinyML, in real-time implementations. His current work on both hardware and software levels has led to the design and implementation of intelligent sensor systems, smart wearable devices, multi-sensor integrated (sensor fusion) embedded devices, wireless sensor networks (WSN), biomedical sensors, sustainable (green) power management techniques, such as off grid solar powered systems.
Dr. Caglayan has had external research funding from local business partners, such as CPS Energy, SwRI, Power Engineering Services, (PES), and Mission Solar Energy. He is a member of Institute of Electrical & Electronics Engineers (IEEE) Signal Processing, Image Processing, Computer Societies, American Society for Engineering Education (ASEE), Eta Kappa Nu (IEEE Honor Society), Omicron Delta Kappa (The Circle and ODK Honor Society).
- Doctor of Philosophy Degree in Electrical Engineering, The University of Texas at San Antonio, 2008
- Master of Science Degree in Electrical Engineering, The University of Texas at San Antonio, 2005
- Bachelor of Science Degree in Electrical Engineering, The University of Texas at San Antonio, 2002
- Associate Professor, Department of Engineering, Computing, and Cybersecurity, University of the Incarnate Word, 2019 – Present
- Assistant Professor, Department of Engineering, University of the Incarnate Word, 2015 – 2019
- Lecturer, Department of Physics & Astronomy, The University of Texas San Antonio, 2012 – 2014
- Electrical Engineering Consultant, Applied Power Division, Southwest Research Institute, 2009 – 2012
- Chavez, J. E., Mabry, A., Andon, C., Salas, S., Collins, J., Caglayan, O. (2022), “Integrated Multi- Sensor Remote System Design for Real-Time Indoor Air Quality Monitoring” 2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas.
- Cooper, R. D., & Caglayan, O. (2021), “Development of a Hybrid Ultraviolet Imaging Algorithm for Optical Sensing Systems”, ASEE 2021 Gulf-Southwest Annual Conference, Waco, Texas. http://peer.asee.org/36372
- Carrillo, R., & Perez, R., & Sanchez, A., & Long, R., & Caglayan, O. (2020, July), “Project Volta: Senior Capstone Design of a Remote Management System for Lithium Polymer (LiPo) Battery Storage”, 2020 Gulf Southwest Section Conference
- Caglayan, O., Ande, S., Coronado, E., Martinez, M., Handowski, S., (2018) “Summer Engineering Academy for First-year Students in STEM: Making the Transition to College Through Coding and Robotics”. American Society for Engineering Education (ASEE) Annual Conference & Exposition Conference Proceedings, Salt Lake City, Utah, 2018.
- Caglayan, O., Ande, S., Coronado, E., Martinez, M., Handowski, S., (2018) “This is not 13th Grade: Making the Transition to College through Coding”. American Society of Engineering Education, (ASEE) Gulf- Southwest Section Annual Conference Proceedings, Austin, Texas, 2018.
- Perez, J., Flores, A., Wade, M., Roberts, T. R., Ande, S., Caglayan, O., Batchinsky, A. I., (2018) “Project Asclepius: Integrating Scanning Electron Microscopy (SEM) and MATLAB in analyzing antithrombogenic coating on Extracorporeal life support materials”, the 2018 UTSA College of Sciences Research Conference, October 5, 2018.
- De Jesus, E., Hernandez, M., Ande, S., Caglayan, (2018) O. “Senior Design Project: A Study of Particle Recognition in Scanning Electron Microscopy (SEM) Images Using MATLAB”. Poster Presentation at the American Society for Engineering Education (ASEE) Gulf-Southwest (GSW), Austin, Texas, 2018.
- Caglayan, O., Coronado, E., Martinez, M., Goldaracera, T., (2017) “Summer Engineering Academy for First- Year Students in STEM: Making the Transition to College through Coding and Robotics”, American Society for Engineering Education (ASEE) Gulf-Southwest (GSW), Dallas, Texas, March 12-14, 2017.
- Whittemore, A.F., Caglayan, O., Martinez, M., Galvez, Y., Giebler, P., Grossman, A., (2017) “Senior Engineering Capstone Project: Modular Advanced River Barge System (M.A.R.S)”, American Society for Engineering Education (ASEE) GulfSouthwest (GSW), Dallas, Texas, March 12-14, 2017.
- Ande, S., Caglayan, O., Coronado, E., (2017) “Girls in Engineering, Math and Science (GEMS) Camp at the University of the Incarnate Word”, American Society for Engineering Education (ASEE) Gulf-Southwest (GSW), Dallas, Texas, March 12-14, 2017.
- Caglayan, O., Whittemore, A.F., (2016) “Study of the use of Vernier Tools to Advance Concept Visualization in a Classroom Environment”, ASEE GSW Conference at TCU, Fort Worth, Texas, March 6 – 8, 2016.
- Agaian, S., Caglayan, O., “Fast Encryption Method based on New FFT Representation for the Multimedia Data System Security”, IEEE International Conference on Systems, Man, and Cybernetics, Oct. 8-11, 2006, Taipei, Taiwan.
- Agaian, S., Caglayan, O., Perez, J., Sarukhanyan, H., Astola, J., “Golden Ratio-Haar Wavelet Based steganography”, International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP 2006), Sept 2-3, 2006, Florence, Italy.
- Agaian, S., Caglayan, O., “Super-Fast Fourier Transform”, IS&T/SPIE 18th Annual Symposium on Electronic Imaging Science and Technology, Jan 15-19, 2006, San Jose, California.
- Agaian, S., Caglayan, O., “New Fast Hartley Transform with Linear Multiplicative Complexity”, IEEE International Conference on Image Processing, Oct. 08-11, 2006, Atlanta, GA, USA.
- Agaian, S., Caglayan, O., “A New Framework of Storage System for Medical Data Archiving”, IS&T Archiving Conference, May 23-26, 2006, Ottawa, Canada.
- Agaian, S., Caglayan, O., N. Granado, “Secure Multilayer Database System for Digital Image Archiving”, IS&T Archiving Conference, Proceedings pp. 165-169, April 26-29, 2005, Washington, DC.
- Agaian, S., Caglayan, O., “New Fast Fourier Transform with Linear Multiplicative Complexity”, IEEE Thirty-Ninth Asilomar Conference on Signals, Systems and Computers, Oct. 30-Nov 2, 2005, Pacific Grove, CA.
- Agaian, S., D. Akopian, Caglayan, O., S. D’Souza, “Lossless Adaptive Digital Audio Steganography”, IEEE Thirty-Ninth Asilomar Conference on Signals, Systems and Computers, Oct. 30-Nov 2, 2005, Pacific Grove, CA.
- ENGR 1201 Introduction to Engineering
- ENGR 2306 Engineering Physics 2
- ENGR 2106 Engineering Physics 2 Laboratory
- ENGR 3364 Signals and Systems
- ENGR 3462 Electronics
- ENGR 3462L Electronics Laboratory
- ENGR 4366 Digital Signal Processing
- ENGR 4399 Special Topics: Introduction to Image Processing
- ENGR 4490 Senior Capstone
The scope of Dr. Caglayan’s research ranges from developing new techniques in the areas of digital signal processing (DSP) with data mining applications and computer vision to building innovative smart sensor and Internet of Things (IoT) networks, low power embedded systems by using machine learning, such as TinyML, in real-time implementations. In DSP, he is particularly interested in discrete orthogonal transforms, time-frequency representations of signals and multidimensional signal processing.
In data mining, his focus is to analyze “big data” by developing new feature vector generation methods based on discrete orthogonal transforms, and unsupervised or supervised learning techniques for classification and decision making. In IoT, he investigates how DSP-based techniques can enable smart sensing, computationally efficient aggregation, and analysis of multimedia data.