Prof. Ahmed Radwan

Professor

Faculty Office Ext.

1758

Faculty Building

UB2

Office Number

S21

Bio

Biography

Prof. Ahmed G. Radwan (SMIEEE, Fellow-AAS) is Professor of Engineering Mathematics at the School of Engineering and Applied Sciences, Nile University, Egypt, and is currently on leave from the Department of Engineering Mathematics and Physics, Cairo University. He previously served as Vice President for Research and Dean of Graduate Studies at Nile University, where he held several senior leadership roles, including Director of Research and Sponsored Projects, Director of the Nanoelectronics Integrated Systems Center (NISC), Acting Dean of Engineering and Applied Sciences, and Head of Marketing and Communications. He also served as Director of the Technical Center for Career Development (TCCD) at Cairo University, Counselor of IEEE-NUSB, one of the early founding researchers selected for KAUST, Saudi Arabia, and Visiting Professor at the Computational Electromagnetics Laboratory, McMaster University, Canada.

Prof. Radwan is an internationally recognized scholar in engineering mathematics, fractional-order systems, nonlinear dynamics, chaotic circuits, circuit theory, and applied computational intelligence. According to Scopus, he has authored more than 500 indexed publications, received over 13,000 citations, and achieved an h-index of 58. He is the author/co-author of 13 international books and 26 book chapters, and is recognized among the leading researchers worldwide in fractional-order systems and chaotic circuits. He is also ranked among the top 50 researchers in Egypt based on the historical Scopus database and has been listed among Stanford/Elsevier’s World’s Top 2% Scientists for both single-year and career-long impact for seven consecutive years. He has served as associate editor for several Scopus-indexed journals, organized special issues and conference sessions, received best paper awards, and delivered keynote speeches at more than 50 international conferences. His research connects rigorous mathematical theory with practical engineering implementation, with contributions to fractional-order systems, chaotic circuits, oscillators, filters, impedance matching, nonlinear circuits, bioimpedance modeling, secure communication, cryptosystems, and artificial intelligence applications. He has supervised more than 50 Master’s and PhD students, ten of whom received best thesis awards, and many of his graduates now hold leading academic, technical, managerial, and executive positions.

Prof. Radwan has played a leading role in advancing scientific dissemination and youth research capacity through the foundation of two major initiatives: the Novel Intelligent and Leading Emerging Sciences (NILES) International Conference https://www.nilesconf.org and the Undergraduate Research Forum (UGRF) https://www.nilesconf.org,. Since its launch in 2019, NILES has grown into one of the leading international conferences in the MENA region, publishing more than 800 IEEE-indexed papers, attracting over 4,000 authors from more than 50 countries and 250 institutions, and generating over 2,500 Scopus citations. In parallel, UGRF and the Egyptian Junior Research Competition have supported 22 editions over 11 years, engaging more than 6,000 projects from universities and schools across Egypt. These initiatives have produced hundreds of awards, Scopus-indexed undergraduate research outputs, and more than 15 startups, reflecting Prof. Radwan’s sustained impact on research culture, scientific capacity building, and youth innovation.

Prof. Radwan has six US and international patents, covering technologies such as reactance-less oscillators, fractal MEMS capacitors, fractional-order impedance matching, digital chaotic systems, and chaos-based pseudo-random number generation. He has also led and contributed to funded research projects exceeding USD 1 million, addressing advanced applications in secure communication, cryptosystems, fractional-order circuits, artificial intelligence, smart agriculture, bioimpedance sensing, wastewater treatment, underwater soft robotics, and biomimetic coral-reef systems.

Prof. Radwan has served on major national and international committees, including COST Action CA15225, IEEE-CAS, the Egyptian Mathematical Society, the Fractional Calculus and Applications Group, EYAS, ECASTI, and the Egyptian Committee for Mathematics representing the International Mathematical Union. He served as Secretary of the Basic Sciences Research Council at ASRT from 2018 to 2024 and was selected as Chairman for 2025–2028.

His awards include the Prof. Tarek Khalil Award for Distinguished Leadership, Obada Prize for Distinguished Researcher, Scopus Award in Engineering and Technology in Egypt, State Excellence Award in Advanced Technological Sciences, Cairo University Excellence Award in Engineering Sciences, Abdul Hameed Shoman Award for Arab Researchers in Applied Sciences, and State Encouragement Award for Research in Mathematical Sciences. Collectively, his career reflects sustained scientific impact, academic leadership, technological innovation, and capacity building across engineering mathematics, nonlinear systems, secure computation, and applied intelligent systems.

Recent Publications

Biometric security has been developed in recent years with the emergence of cancellable biometric concepts. The idea of the cancellable biometric traits is concerned with creating encrypted or distorted traits of the original ones to protect them from hacking techniques. So, encrypted or distorted biometric traits are stored in databases instead of the original ones. This can be accomplished

This paper introduces an efficient prediction algorithm tailored for advanced and high efficiency video coding, encompassing both H.264 and H.265. The proposed approach aims at replacing the standard intra prediction methodology by employing a streamlined prediction mode, which significantly reduces computational overhead and system complexity while eliminating the requirement for mode decision

Image enhancement is a vital process that serves as a tool for improving the quality of a lot of real-life applications. Fractional calculus can be utilized in enhancing images using fractional order kernels, adding more controllability to the system, due to the flexible choice of the fractional order parameter, which adds extra degrees of freedom. The proposed system merges two fractional order

Secret Image Sharing (SIS) transfers an image to mutually suspicious receivers as n meaningless shares, where k or more shares must be present to recover the secret. This paper proposes a (k, n)-SIS system for any image type using polynomial interpolation based on Lagrange polynomials, where the generated shares are of size 1/k of the secret image size. A full encryption system, consisting of

Achieving robustness against adversarial attacks while maintaining high accuracy remains a critical challenge in neural networks. Parameter quantization is one of the main approaches used to compress deep neural networks to have less inference time and less storage memory size. However, quantization causes severe degradation in accuracy and consequently in model robustness. This work investigates

In various areas of life, rechargeable lithium-ion batteries are the technology of choice. Equivalent circuit models are utilized extensively in characterizing and modeling energy storage systems. In real-time applications, several generic-based battery models are created to simulate the battery's charging and discharging behavior more accurately. In this work, we present two generic battery

Nano zero-valent iron (nZVI), bimetallic Nano zero-valent iron-copper (Fe 0- Cu), and fava bean activated carbon-supported with bimetallic Nano zero-valent iron-copper (AC-F e 0-Cu) were prepared and characterized by DLS, FT-IR, XRD, and SEM. The influence of the synthesized adsorbents on the adsorption and removal of soluble anionic methyl orange (M.O) dye was investigated using UV-V spectroscopy

Digital images, which we store and communicate everyday, may contain confidential information that must not be exposed to others. Numerous researches are interested in encryption, which protects the images from ending up in the hands of unauthorized third parties. This paper proposes an image encryption scheme using chaotic systems, DNA manipulation, and a modified Arnold transform. Both DNA

Wireless power transfer (WPT) is highly desirable for applications with battery restrictions, such as biomedical applications. For example, in the case of implantable devices, power is transmitted through the human body, which has dielectric characteristics that must be considered during the design of the WPT system. This paper examines capacitive power transfer through the human body and

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