Faculty Office Ext.
Ahmed Madian (SM'12) is currently a Professor at the department of Electronics and Computer Engineering, School of Engineering and Applied Sciences at Nile University, Egypt. He is the former director of the Master's program from Sept. 2015 – Sept. 2020. He has been the director of the Nanoelectronics Integrated System Design Research Center (NISC) since 2016 and the director of the Electronics and Computer Engineering program since 2020 till present. He has published more than 175 papers in international conferences and journals - his H-index is currently 25.
He served on the many technical and organizing committees of many international conferences. He received many research grants as Principle Investigator (PI), CO-PI, or Consultant from different national/international organizations. He won the best researcher award (Dr. Hazem Ezzat award 2017) for his outstanding research profile and Elshorok academy award for Innovation and technology development from ASRT. He is a member of the national radio of science committee (NRSC) from 2018 till present and a member of the Council of Communications and Information Technology, Egyptian Academy for Science, research and technology since 2022.
Dr. Madian is actively serving as a reviewer in several journals and conference publications including IEEE conferences and journals. He served as a guest associate editor for many international journals. He is the founder of IEEE Circuits and systems (CASS) Egypt technical chapter and co-founder of the IEEE Robotics and Automation Society (RAS) Egypt technical chapter. He is currently the IEEE Egypt Section Secretary and a member of Ex-COM.
1) Ahmed Hassan Kamel Ali Madian received the Dr. Hazem Ezzat Award for Best Researcher for the Academic Year 2017-2018 from Nile University.
2) He received the Second Place for the Best Scientific Research Award in the International Conference on Electronics 2011 from ICM.
Plant stem tissue modeling and parameter identification using metaheuristic optimization algorithms
Fractional-order bio-impedance modeling for interdisciplinary applications: A review
Bio-impedance circuit modeling is a popular and effective non-invasive technique used in medicine and biology to fit the measured spectral impedance data of living or non-living tissues. The variations in impedance magnitude and/or phase at different frequencies reflect implicit biophysical and biochemical changes. Bio-impedance is also used for sensing environmental changes and its use in the
Two implementations of fractional-order relaxation oscillators
This work proposes general formulas for designing two different topologies of fractional-order relaxation oscillators. One topology contains an Operational Amplifier and the other one relies on an Operational Trans-Resistance Amplifier. The design procedure hinges on the general fractional-order natural and step responses of RC, which is proved in this work depending on Mittag Leffler function
Fractional-order edge detection masks for diabetic retinopathy diagnosis as a case study
Edge detection is one of the main steps in the image processing field, especially in bio-medical imaging, to diagnose a disease or trace its progress. The transfer of medical images makes them more susceptible to quality degradation due to any imposed noise. Hence, the protection of this data against noise is a persistent need. The efficiency of fractional-order filters to detect fine details and
A Scalable Firmware-Over-The-Air Architecture suitable for Industrial IoT Applications
This paper proposes a reliable and scalable architecture for firmware-over-the-air updates, which provides remote cloud real-time distribution of new firmware versions on industrial machines in an efficient simultaneous manner. The architecture comprises remotely interconnected software and hardware systems for handling the procedures of firmware distribution over a wireless network. The main
Energy Harvesting Schemes for Wearable Devices
For the specifications of Wireless Body Area Networks (WBANs), eHealth systems, and wearable devices, batteries are not desirable. They maximize the sensor nodes’ size and need to be replaced every few years through human interference. Energy harvesting is now being studied as the primary source of electricity for wearable devices. Several initiatives have succeeded in using energy harvesting to
On-the-Fly Parallel Processing IP-Core for Image Blur Detection, Compression, and Chaotic Encryption Based on FPGA
This paper presents a 3 in 1 standalone FPGA system which can perform color image blur detection in parallel with compression and encryption. Both blur detection and compression are based on the 3-level Haar wavelet transform, which is used as a common building block to save the resources. The compression is based on performing the hard thresholding scheme followed by the Run Length Encoding (RLE)
Generation of the chaotic keys on the fly for AES encryption system
This paper proposes a safe and effective method to generate the subkeys that are used in the Advanced Encryption Standard (AES) algorithm for data encryption applications. The suggested method relies upon the Pseudo-Random Number Generator (PRNG) that is created from the improved Lorenz chaotic system. The output of PRNG is exploited as a key schedule for generating AES subkeys where the output is
Hardware realization of a secure and enhanced s-box based speech encryption engine
This paper presents a secure and efficient substitution box (s-box) for speech encryption applications. The proposed s-box data changes every clock cycle to swap the input signal with different data, where it generated based on a new algorithm and a memristor chaotic system. Bifurcation diagrams for all memristor chaotic system parameters are introduced to stand for the chaotic range of each
- Circuit theory
- Low-voltage analog CMOS circuit design
- Current-mode analog signal processing
- Fractional systems
- VLSI, Encryption systems and mixed/digital applications on field-programmable gate arrays