Prof. Ahmed Radwan

Professor

Faculty Office Ext.

1758

Faculty Building

UB2

Office Number

S21

Bio

Biography

Prof. Ahmed G. Radwan is Professor of Engineering Mathematics at Nile University, Egypt, and is currently on leave from Cairo University’s Department of Engineering Mathematics and Physics. He has held numerous senior academic and administrative positions, including Vice President for Research, Dean of Graduate Studies, Director of Research and Sponsored Projects, Director of the Nanoelectronics Integrated Systems Center, Acting Dean of Engineering and Applied Sciences, and Head of Marketing and Communications at Nile University. He has also served in leadership and visiting roles at Cairo University, KAUST in Saudi Arabia, and McMaster University in Canada.

An internationally recognized researcher, Prof. Radwan works across engineering mathematics, fractional-order systems, nonlinear dynamics, chaotic circuits, circuit theory, secure communication, cryptosystems, and applied artificial intelligence. According to Scopus, he has published more than 500 indexed papers, received over 13,000 citations, and achieved an h-index of 58. He is also the author or co-author of 13 international books and 26 book chapters. His global standing is reflected in his repeated inclusion among Stanford/Elsevier’s World’s Top 2% Scientists and his ranking among Egypt’s leading researchers.

His research combines mathematical theory with practical engineering applications, covering areas such as oscillators, filters, impedance matching, bioimpedance modeling, secure computation, and intelligent systems. He has supervised more than 50 Master’s and PhD students, with ten receiving best thesis awards, while many of his graduates have advanced to prominent academic, technical, and executive roles.

Prof. Radwan has also made a major contribution to scientific capacity building. He founded the NILES International Conference and the Undergraduate Research Forum, initiatives that have engaged thousands of researchers, students, institutions, and international contributors. NILES has published more than 800 IEEE-indexed papers, while UGRF and related competitions have supported thousands of projects and contributed to awards, Scopus-indexed outputs, and more than 15 startups.

His innovation record includes six US and international patents in areas such as oscillators, fractional-order impedance matching, digital chaotic systems, and pseudo-random number generation. He has also led or contributed to funded projects exceeding USD 1 million in secure communication, AI, smart agriculture, sensing, robotics, and environmental technologies.

Beyond research, Prof. Radwan has served on major national and international scientific committees and currently chairs Egypt’s Basic Sciences Research Council. His many honors include national and regional awards for leadership, research excellence, engineering, applied sciences, and mathematical sciences. 

Recent Publications

Over the years, The detection and tracking of Vulnerable Road Users (VRUs) have become one of the most critical features of self-driving car components. Because of its processing efficiency and better detection algorithms, tracking-by-detection appears to be the best paradigm. In this paper, a detection-based tracking approach is presented for Multiple VRU Tracking of video from an inside-vehicle

This paper focuses on the problem of fractional time derivative of fluid flow and convective heat and mass transfer from a heated semi-infinite wall immersed. We provided two cases of study, one is free convective heat transfer and the other is a free double-convective heat and mass transfer. The time-derivative terms in the equations of momentum, energy and concentration are assumed to be

This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI). The study includes obtaining the optimal parameters for the PV model and the operating parameters for the FOPI controller. The first part's objective function is to search a five-parameter model based on the data-sheet given by commercial PV modules for

The spread of epidemics and diseases is known to exhibit chaotic dynamics; a fact confirmed by many developed mathematical models. However, to the best of our knowledge, no attempt to realize any of these chaotic models in analog or digital electronic form has been reported in the literature. In this work, we report on the efficient FPGA implementations of three different virus spreading models

Advances of soft robotics enabled better mimicking of biological creatures and closer realization of animals’ motion in the robotics field. The biological creature’s movement has morphology and flexibility that is problematic deportation to a bio-inspired robot. This paper aims to study the ability to mimic turtle motion using a soft pneumatic actuator (SPA) as a turtle flipper limb. SPA’s

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

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)

This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to deal with global optimization and multilevel image segmentation problems. MRFO is a meta-heuristic technique that simulates the behaviors of manta rays to find the food. MRFO established its ability to find a suitable solution for a variant of optimization problems. However, by analyzing its behaviors during

Image enhancement is better achieved when fractional-order masks are used rather than integer-order ones, this is due to the flexibility of fractional-order parameters control. This paper proposes a combination of fractional-order masks to be used in parallel as double filters system structure to improve image enhancement rather than using a single-stage filter. Various performance metrics are

Research Tracks

1) Fractional-Order Systems

2) Memristor

3) Bifurcation

4) Encryption

5) Chaos

Grants

Projects

Research Project

Wireless Monitoring of Fruit Growth Using an Electrical BioImpedance Sensor Device

The idea of this project is to graph the quality of fruits and vegetables similar to ECG in humans. The purpose of this project is to build a prototype for a portable wireless electronic device capable of measuring live tissue with fruits or vegetables using bioimpedance and some mathematical & electrical models then transmitting data to the base station. This project will add scientific and

Research Project

Software Algorithm and Hardware Implementations of Information Security Using Number Theory and Chaotic Systems

The project aims at proposing novel software algorithms for information security and their hardware implementations. The algorithms will utilize different methods based on number theory and chaos theory. Cryptography and information hiding systems will be developed for different media data types such as text, image, audio and video. The project will investigate different classes of symmetric

Research Project

FPGA/FPAA Implementation of Fractional-order Systems

Fractional Calculus (FC) has been proved through numerous research examples to be a superior tool for system description to the narrow integer order domain. This is achieved through the extra parameters introduced by allowing the differential or integral orders to take non-integer values. The promising capabilities of fractional-order devices challenge the research to find a way to simulate its

Research Project

Ternary Logic Gates Design

Nowadays, the demand for building CNTFET-based ternary systems has been increasing. The current two-level binary logic and MOSFET technology have been facing limitations in chip size, design complexity, and power consumption. In this proposal, the method to design Ternary logic gates based on CNTFET and Memristor is proposed. Implementing Ternary Full-Adders and Multipliers is also discussed in

Research Project

Two Port Fractional-order Oscillators and Filters Suitable for Tissue Modeling

Objective: This project aims to study the relation between the mathematical fundamentals of fractional calculus and the concept of two-port circuit networks in the design of oscillators and filters with their analyses. These concepts will be applied to the Cole-Cole model, suitable for agriculture and biomedical applications tissue modelling. Outcomes: Literature Surveys (2 Journals + 2 Chapters)

Research Project

Development and Manufacturing of Soft Actuated Under Water Robotics

Objective/Contributions: Surveying research papers about transferring hard robot characteristics to soft one. Use additive manufacturing techniques to minimize the assembly process of the ROV actuator. Work on soft control and soft sensing system and study its ability to be used in soft robotics. Discuss biomimicking ROV. Create a hub for soft robotics at Nile University for participating in Egypt

Research Project

Fractional order Image Processing Platform for Retinal Pigmontosa Patients

Objective/Contributions: Investigation and categorization of the different methodologies in fractional operator discretization. Investigate the effect of the number of memory samples on the performance of different discretization schemes and recommend the scheme which gives the best performance for the least number of memory samples. Discuss the stability analysis of the discretized operators and

Research Project

An Underwater AR based System for Marine Life Detection and Classification for Divers and Tourists

Objective/Contributions: Collecting and annotating an extensive dataset of fish images representing the fish species in the red sea. Building a machine learning model capable of detecting and classifying fish species from a real-time video. Building a proof-of-concept prototype for the AR hardware that is capable of capturing the live video of marine life, running the classification model, and

Research Project

Multi-stage Low-cost Treatment of Dyes and Paints Wastewater by Coagulation, Adsorption, and Filtration for Reuse in Several Application

Objective/Contributions: Designing and constructing a low-cost, efficient, rapid environmentally friendly treatment system for textile and paint industries' recycling and treatment. Conducting a comprehensive literature database of all the reuse and treatment methods, in paints wastewater treatment and all the pilot plants, and treatment plants used success stories that successfully reduce the

Research Project

Bio-Mimetic Locomotion of Soft Turtle Robot

Abstract Amphibious robots have great potential for a variety of applications, but their design can be complex and expensive. Bio-inspired soft robotics offers a promising solution, as their actuators can perform evenly on land and underwater. Our robot takes inspiration from turtle locomotion as it bridges the gap between traditional four-legged robots and swimming robots. The robot can be

Research Project

Bio-inspired Soft Robot for Monitoring Coral Reefs

Abstract Coral reefs play a crucial role in supporting a quarter of all aquatic life, but their existence is now threatened by ongoing climate changes. Our project aims to develop an underwater soft robot that can mimic the morphology and shape of actual marine creatures and to imitate their swimming motion. This robot can play a critical role as monitoring platform to understand the reefs