Ayad Mohammed Khorshid Waiss Dalloo
Communication Engineering Department
Assistant Lecturer
ayad.m.waiss@uotechnology.edu.iq
Ayad Dalloo earned his bachelor’s and master’s degree in electrical engineering from the University of Technology (UOT), Baghdad, Iraq in 2004. Dalloo was a faculty member in the Electrical Engineering Department at the University of Technology (UOT) since 2004, currently; he is a faculty member in the Communication Engineering Department since 2018. His research interested in digital arithmetic Units (VLSI and FPGA) design, implementing low power approximate computing design, and biomedical Engineering.
1- Microprocessor Lab.
2- Digital Logic Lab.
3- C++ lab.
4- Analog communication Lab.
5- Digital Signal Processing Lab.
1. A. Dalloo and A. Garcia-Ortiz, “A programmable and reconfigurable core for binary image processing”, 2016 11th International Symposium on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), Tallinn, 2016, pp. 1-6, doi: 10.1109/ReCoSoC.2016.7533912.
2. A. Dalloo and S. Dalloo, “High-resolution ECG automated analysis and diagnosis”, 2017 IEEE International Conference on Intelligent Techniques in Control, Optimization and Signal Processing (INCOS), Srivilliputhur, 2017, pp. 1-7, doi: 10.1109/ITCOSP.2017.8303069.
3. A. Dalloo, A. Najafi and A. Garcia-Ortiz, “Systematic Design of an Approximate Adder: The Optimized Lower Part Constant-OR Adder”, in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 26, no. 8, pp. 1595-1599, Aug. 2018, doi: 10.1109/TVLSI.2018.2822278.
4. A. Dalloo, “Enhance the Segmentation Principle in Approximate Computing,” 2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET), Kottayam, India, 2018, pp. 1-7, doi: 10.1109/ICCSDET.2018.8821112.
5. Design and Control of a Laser Cooling System for Wavelength Stabilization of a Monochromatic Light Source.
6. Low-Power and Low-Latency Hardware Implementation of Approximate Hyperbolic and Exponential Functions for Embedded System Applications
7. Approximate Computing: Concepts, Architectures, Challenges, Applications, and Future Directions
• VLSI and FPGA Digital hardware design, Approximate Computing, Stochastic Computing, Low Power Digital Hardware Design, Biomedical Signal Analysis & Neural Network and Deep Learning.
M.Sc. degree of Electronic Engineering, University of Technology, 2004.
B.Sc. Electrical Engineering, University of Technology, 2001.
1- Getting the scientific super-eminent students’ certificate for electronic and communication fields by first order over Iraq in 2001.
2- Workshop in Bremen University “System Design Flow on Zynq using Vivado”, 2 days, 2015.
3- Attending International Symposium on Reconfigurable and Communication-centric Systems-on-Chip (ReCoSoC 2015) Bremen, Germany.
4- First PIP Summer School for Electrical Engineering and Physics in 2016.
5- Attending International Symposium on Reconfigurable and Communication-centric Systems-on-Chip (ReCoSoC 2016), Tallin, Estonia.
6- Attending International Workshop on Timing Modeling, Organization and Simulation (PATMOS 2016) in conjunction with the European Workshop on CMOS Variability (VARI 2016) in Bremen, Germany.