Faculty Profiles

Kaya, E. B., Aslan, S., Valles Molina, D., Dutta, A. K., & Iscan, S. (2025). Motor Fault Diagnosis Across Variable Power Using Deep Learning. IEEE. https://doi.org/10.1109/CITS65975.2025.11099471

Deb, P., Valles Molina, D., & Aslan, S. (2025). FPGA based Matrix Multiplication Accelerator. IEEE. https://doi.org/10.1109/CITS65975.2025.11099187

Schulze, M., Aslan, S., Valles Molina, D., & Stern, H. P. (2025). Image Restoration with Variational Dynamic Memory Net, U-Net and LNNS. IEEE. https://doi.org/10.1109/CITS65975.2025.11099192

Yang, A., Smith, E. R., Valles Molina, D., & Aslan, S. (2025). HoloLens AR-Based Handwashing Tool for Children with Autism Spectrum Disorder. IEEE. https://doi.org/10.1109/FNWF63303.2024.11028805

Smith, E., Koldenhoven, R. M., Farrell, J. W., Li, Y., Aslan, S., Resendiz, M. D., … Valles Molina, D. (2024). Development of an Augmented Reality Handwashing Tool for Children With Autism Spectrum Disorder. Las Vegas, NV, USA: IEEE.

Khan, S. A., Kanagaraj, V., Kaya, E. B., Rahman, M. S., Quinn, L. B., & Aslan, S. (2024). Cyber-Attack Monitoring and Detection using Machine Learning Techniques.

Rafiq, S., Ellsworth, E. S., Resendiz, O., Varanasi, S. H., Ishola, A. A., Rolfe, R. M., … Valles Molina, D. (2024). Design of Autonomous Rover for Firefighter Rescue: Integrating Deep Learning with ROS2 (pp. 421–428). IEEE. https://doi.org/10.1109/AIIoT61789.2024.10578950

Ceylan, O., Günay Demirel, E. C., Yilmaz, I., & Aslan, S. (2024). Experimental Realization of Quantum Teleportation Algorithm via Electrical Circuits. AIP Publisher. https://doi.org/https://doi.org/10.1063/5.0216569

Smith, E. R., Rolfe, R. M., Farrell, J. W., Aslan, S., Resendiz, M. D., Li, Y., … Valles Molina, D. (2024). Development of an Augmented Reality Handwashing Tool for Children With Autism Spectrum Disorder (pp. 0249–0256). Las Vegas, NV, USA: IEEE. https://doi.org/10.1109/CCWC60891.2024.10427963

Smith, E. R., Koldenhoven, R., Farrell, J. W., Aslan, S., Resendiz, M. D., Li, Y., … Valles, D. (2024). Development of an Augmented Reality Handwashing Tool for Children with Autism Spectrum Disorder. In 2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0249–0256). IEEE. https://doi.org/10.1109/ccwc60891.2024.10427963

Valles Molina, D., Umali, L. A. R., Paveglio, T., Brinson, J. N., Hyder, M., Jackson, G. E., … Liu, T. (2023). Data Collection and Real-Time Facial Emotion Recognition in iOS Apps With CNN-Based Models. Seattle, WA, USA: IEEE. https://doi.org/10.1109/AIIoT58121.2023.10174520

Valles, D., Umali, L. A., Paveglio, T., Brinson, J. N., Hyder, M., Jackson, G. E., … Liu, T. (2023). Data Collection and Real-Time Facial Emotion Recognition in iOS Apps with CNN-Based Models. In 2023 IEEE World AI IoT Congress (AIIoT) (pp. 0669–0677). IEEE. https://doi.org/10.1109/aiiot58121.2023.10174520

Davio, R. L., Pantuso, M., & Aslan, S. (2023). Ensuring Water and Energy Resilience at Camp Bowie During a Disaster.

Aslan, S., Niu, S., & Saiine, J. (n.d.). Hardware and Software Architectures for QR Decomposition using Recursive Least Square Algorithm. Springer Journal of Circuits, Systems and Signal Processing.

Sharotry, A., Jimenez, J., Wierschem, D. C., Mendez, F. A., Koutitas, G., Valles Molina, D., … Rolfe, R. M. (2021). A Digital Twin Framework for Real-Time Analysis and Feedback of Repetitive Work in the Manual Material Handling Industry (pp. 2637–2648). IEEE. https://doi.org/10.1109/WSC48552.2020.9384043

Islam, M. T., & Aslan, S. (2021). Leak Detection and Location Pinpointing in Water Pipeline Systems using a Wireless Sensor Network (pp. 1–7). https://doi.org/10.1109/ISCAS51556.2021.9401106

Murthy, D. K., & Aslan, S. (2021). Optimization of Sparse Matrix Arithmetic Operations and Performance Improvement using FPGA (pp. 1–5).

Murthy, D. K., & Aslan, S. (2021). Optimized Architecture for Sparse LU Decomposition on Matrices with Random Sparsity Patterns (pp. 6–10).

Paul, K. C., & Aslan, S. (2021). An Improved Real-Time Face Recognition System at Low Resolution Based on Local Binary Pattern Histogram Algorithm and CLAHE. Optics and Photonics Journal, 11(4), 63–78. https://doi.org/10.4236/opj.2021.114005

Jimenez, J., Aslan, S., Valles Molina, D., Koutitas, G., Mendez, F. A., & Wierschem, D. C. (2021). Using industry 4.0 digital twins to model human labor in smart material handling systems.

Aslan, S., Rahman, M., Das, S. S., & Schnitta, B. (2021). Ultrasound Needle Guidance System for Precision Vaccinations and Drug Deliver. Circuits and Systems, 12(1), 1–12. https://doi.org/10.4236/cs.2021.121001

Hernandez, M., Valles Molina, D., Wierschem, D. C., Rolfe, R. M., Koutitas, G., Mendez, F. A., … Jimenez, J. (2020). An Initial Julia Simulation Approach to Material Handling Operations from Motion Captured Data. In 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 0718–0722). IEEE. https://doi.org/10.1109/iemcon51383.2020.9284829

Carroll, T., Hernandez, G., Koutitas, G., Wierschem, D. C., Mendez, F. A., Valles Molina, D., … Jimenez, J. (2020). Comparison of inverse kinematics algorithms for digital twin industry 4.0 applications (pp. 0300–0305). IEEE.

Sharotry, A., Jimenez, J., Wierschem, D. C., Mendez, F. A., Koutitas, G., Valles Molina, D., … Rolfe, R. M. (2020). A digital twin framework of a material handling operator in industry 4.0 environments (pp. 45–52).

Hernandez, G., Valles Molina, D., Wierschem, D. C., Rolfe, R. M., Koutitas, G., Aslan, S., … Jimenez, J. (2020). Machine Learning Techniques for Motion Analysis of Fatigue from Manual Material Handling Operations Using 3D Motion Capture Data (pp. 0300–0305). IEEE. https://doi.org/10.1109/CCWC47524.2020.9031222

Hernandez, G., Valles, D., Wierschem, D. C., Koldenhoven, R. M., Koutitas, G., Mendez, F. A., … Jimenez, J. (2020). Machine Learning Techniques for Motion Analysis of Fatigue from Manual Material Handling Operations Using 3D Motion Capture Data. In 2020 10th Annual Computing and Communication Workshop and Conference (CCWC) (pp. 0300–0305). IEEE. https://doi.org/10.1109/ccwc47524.2020.9031222

Aslan, S., Kellington, J. W., Sefat, M. S., & Qasem, A. M. (2019). Accelerating HotSpots in Deep Neural Networks on a CAPI-Based FPGA (pp. 248–256). https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00048

Almusaied, Z., Asiabanpour, B., & Aslan, S. (2018). Optimization of Solar Energy Harvesting: An Empirical Approach. Journal of Solar Energy, 2018. https://doi.org/https://doi.org/10.1155/2018/9609735

Sefat, M. S., Aslan, S., & Qasem, A. M. (2018). Hardware Acceleration of CNNs with Coherent FPGAs.

Dehghanian, P., Aslan, S., & Dehghanian, P. (2018). Maintaining Electric System Safety Through An Enhanced Network Resilience. IEEE Transactions on Industry Applications, 54(5), 4927–4937. https://doi.org/10.1109/TIA.2018.2828389

Dehghanian, P., Aslan, S., & Dehghanian, P. (2017). Quantifying power system resiliency improvement using network reconfiguration. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 1364–1367). https://doi.org/10.1109/MWSCAS.2017.8053185

Ekram, M. A. U., Chaudhary, A., Yadav, A., Khanal, J., & Asian, S. (2017). Book organization checking algorithm using image segmentation and OCR. In 2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 196–199). https://doi.org/10.1109/MWSCAS.2017.8052894

Aslan, S., Asiabanpour, B., & Aslan, S. (2017). Fixed versus Sun Tracking Solar Panels: An Economic Analysis. Springer Journal of Clean Technologies and Environmental Policy, 19(4), 1195–1203. https://doi.org/https://doi.org/10.1007/s10098-016-1292-y

Desai, P., Aslan, S., & Saniie, J. (2017). FPGA implementation of Gram-Schmidt QR decomposition using high level synthesis. In 2017 IEEE International Conference on Electro Information Technology (EIT) (pp. 482–487). https://doi.org/10.1109/EIT.2017.8053410

Dehghanian, P., & Aslan, S. (2017). Enhancing electric safety by improving system resiliency in face of extreme emergencies. In 2017 IEEE IAS Electrical Safety Workshop (ESW) (pp. 1–1). https://doi.org/10.1109/ESW.2017.7914867

Almusaied, Z., Asiabanpour, B., Hawkes, N., Rainosek, K., & Aslan, S. (2016). Optimization of the Solar Energy Harvesting Using Statistical Optimization.

Salamy, H., & Aslan, S. (n.d.). Pipelined-Scheduling of Multiple Embedded Applications on a Multi-processor-SoC. Journal of Circuits, Systems, and Computers, Springer Publishing.

Aslan, S., Asiabanpour, B., Londa, M., Salamy, H., & Jimenez, J. (n.d.). A BRIDGE Program to Engage, Sustain and Empower Women and Minorities in STEM. NACTA Journal, 60.

Aslan, S., Mohammad, E., & Salamy, H. (n.d.). Open Source Synthesis and Verification Tool for Fixed-to-Floating and Floating-to-Fixed Points Conversions. Circuits and Systems, Scientific Research Publishing.

Aslan, S., Chandrai, K. R., & Siddaiah, V. (n.d.). Unified Coverage Methodology for SoC Post-Silicon Validation. Circuits and Systems, Scientific Research Publishing.

Aslan, S. (2016). Reconfigurable HDL Library Development Platform for Arithmetic and Matrix Operations. International Journal of Computer Applications, 141, 40–50.

Aslan, S. (2016). MATLAB Based High Level Synthesis Engine for Area and Power Efficient Arithmetic Operations. International Journal of Computational Engineering Research, 6, 1–8.

Aslan, S., & Saniie, J. (2016). Matrix Operations Design Tool for FPGA and VLSI Systems. Circuits and Systems, Scientific Research Publishing, 7, 43–50.

Almusaied, Z., Asiabanpour, B., & Aslan, S. (2015). An experimental investigation of the environmental and system setting factors affecting the photovoltaic panel energy output efficiency.

Salamy, H., & Aslan, S. (2015). A genetic algorithm based approach to pipelined memory-aware scheduling on an MPSoC.

Asiabanpour, B., Aslan, S., Salamy, H., Warren, J., & Almusaied, Z. (2015). Web-based Data Management System Design and Development for the Multisite Renewable Energy Research and Education Partnership.

Almusaied, Z., Asiabanpour, B., Aslan, S., Jimenez, J., & Salamy, H. (2015). Solar Energy Generation: Roadblocks and Their Economically Viable Remedies.

Ortiz, A., Asiabanpour, B., Aslan, S., Jimenez, J., Salamy, H., & Kim, Y. (2015). Engaging Students in Environmental Learning and Awareness of Green Design Technologies and Careers through a Pre-Engineering Program.

Ortiz, A., Asiabanpour, B., Jimenez, J. A., Salami, H., Kim, Y.-J., & Aslan, S. (2015). Engaging students in environmental learning and awareness of green design technologies and careers through a pre-engineering program.

Aslan, S., Asiabanpour, B., Salamy, H., Jimenez, J., & Cook, R. (2014). Constant Power Production and Harvesting Using Roof Ventilation Systems.

Aslan, S., Salamy, H., & Saiine, J. (2014). A High-Level Synthesis and Verification Tool for Application Specific Division and kth-Root Processing Engines.

Aslan, S., Asiabanpour, B., Jimenez, J. A., Salamy, H., & Cook, R. (2014). Constant power production and harvesting using roof ventilation systems.

Niu, S., Wang, S., Aslan, S., & Saniie, J. (2013). Hardware and software design for QR Decomposition Recursive Least Square algorithm.

Salamy, H., & Aslan, S. (2013). Energy-Aware Schedule Optimization on Multicore Systems.

Salamy, H., Aslan, S., & Methukumalli, D. (2013). Task Scheduling on Multicores under Energy and Power Constraints.

Niu, S., Aslan, S., & Saniie, J. (2013). FPGA based Architectures for High Performance Adaptive FIR Filter Systems.

Saniie, J., Oruklu, E., Gilliland, S., & Aslan, S. (2013). Smart Sensors with System-On-Chip Processing Engines for Ultrasonic Imaging and Nondestructive Testing Applications. In S. Nihtianov & A. L. Estepa (Eds.), Smart Sensors and Microsystems for Industrial Applications.

Oruklu, E., Aslan, S., Desmouliers, C., Vallina, F. M., & Saniie, J. (2012). ’Image and Video Processing Platform for FPGAs Using High-Level Synthesis. IET Computers Digital Techniques, 6, 414–425.

Aslan, S. (2012, November 1). Electronics Devices - Malvino Book Review [Review of Electronic Principles, 7th Edition, by A. Malvino & D. Bates].

Gilliland, S., Saniie, J., & Aslan, S. (2012). Linux Based Reconfigurable Platform for High Speed Ultrasonic Imaging.

Aslan, S., Niu, S., & Saniie, J. (2012). FPGA Implementation of Fast QR Decomposition Based on Givens Rotation.

Aslan, S., Oruklu, E., & Saniie, J. (2012). A High-Level Synthesis and Verification Tool for Fixed to Floating Point Conversion.

Oruklu, E., Hanley, R., Aslan, S., Desmouliers, C., Vallina, F. M., & Saniie, J. (2012). System-On-Chip Design Using High-Level Synthesis Tools. Circuits and Systems, Scientific Research Publishing, 3, 1–9.

Aslan, S., Oruklu, E., & Saniie, J. (2011). Architectural Design Tool for Low Area Band Matrix LU Factorization.

Aslan, S., Desmouliers, C., Oruklu, E., & Saniie, J. (2010). An Efficient Hardware Design Tool for Scalable Matrix Multiplication.

Aslan, S., Desmouliers, C., Oruklu, E., & Saniie, J. (2010). High Performance Reconfigurable Pipelined Matrix Multiplication Module Designer.

Desmouliers, C., Aslan, S., Martinez, F., Oruklu, E., & Saniie, J. (2010). HW/SW Co-design Platform for Image and Video Processing Applications on Virtex-5 FPGA using PICO.

Oruklu, E., Aslan, S., & Saniie, J. (2009). Performance Evaluation of Time-Frequency Distributions for Ultrasonic Flaw Detection.

Aslan, S., Oruklu, E., & Saniie, J. (2009). Realization of area efficient QR factorization using unified division, square root, and inverse square root hardware.