Dr. Abdussalam Elhanashi

Researcher at University of Pisa

Research Expertise

Machine learning Deep learning and Imaging processing IoT devices Object detection Embedded system
Information Systems
Electrical and Electronic Engineering
Computer Science Applications
Modeling and Simulation
Transportation
Renewable Energy, Sustainability and the Environment
Civil and Structural Engineering
Geography, Planning and Development
Fluid Flow and Transfer Processes
Process Chemistry and Technology
Instrumentation
Artificial Intelligence
Management Information Systems
Control and Systems Engineering
Energy Engineering and Power Technology
Computational Mathematics
Computational Theory and Mathematics
Numerical Analysis
Theoretical Computer Science
Aerospace Engineering

About

Dr Abdussalam is a researcher at the Università di Pisa, Italia. He received M.Sc. degree in Electronic Engineering from the University of Glasgow in Scotland in 2018. He authored and co-authored several scientific articles in international conferences and journals . He is a member IET , and a member of IEEE. His current research interests are Deep learning, imaging processing, medical images, embedded systems, Power optimization management and IoT devices.

Publications

Real-time video fire/smoke detection based on CNN in antifire surveillance systems

Journal of Real-Time Image Processing / Nov 10, 2020

Saponara, S., Elhanashi, A., & Gagliardi, A. (2020). Real-time video fire/smoke detection based on CNN in antifire surveillance systems. Journal of Real-Time Image Processing, 18(3), 889–900. https://doi.org/10.1007/s11554-020-01044-0

Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19

Journal of Real-Time Image Processing / Jan 21, 2021

Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Implementing a real-time, AI-based, people detection and social distancing measuring system for Covid-19. Journal of Real-Time Image Processing, 18(6), 1937–1947. https://doi.org/10.1007/s11554-021-01070-6

Fine-Grained Modulation Classification Using Multi-Scale Radio Transformer With Dual-Channel Representation

IEEE Communications Letters / Jun 01, 2022

Zheng, Q., Zhao, P., Wang, H., Elhanashi, A., & Saponara, S. (2022). Fine-Grained Modulation Classification Using Multi-Scale Radio Transformer With Dual-Channel Representation. IEEE Communications Letters, 26(6), 1298–1302. https://doi.org/10.1109/lcomm.2022.3145647

Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture

IEEE Access / Jan 01, 2021

Saponara, S., Elhanashi, A., & Zheng, Q. (2021). Recreating Fingerprint Images by Convolutional Neural Network Autoencoder Architecture. IEEE Access, 9, 147888–147899. https://doi.org/10.1109/access.2021.3124746

Impact of Image Resizing on Deep Learning Detectors for Training Time and Model Performance

Lecture Notes in Electrical Engineering / Jan 01, 2022

Saponara, S., & Elhanashi, A. (2022). Impact of Image Resizing on Deep Learning Detectors for Training Time and Model Performance. Applications in Electronics Pervading Industry, Environment and Society, 10–17. https://doi.org/10.1007/978-3-030-95498-7_2

Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19

Journal of Real-Time Image Processing / Feb 22, 2022

Saponara, S., Elhanashi, A., & Zheng, Q. (2022). Developing a real-time social distancing detection system based on YOLOv4-tiny and bird-eye view for COVID-19. Journal of Real-Time Image Processing, 19(3), 551–563. https://doi.org/10.1007/s11554-022-01203-5

An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring

Journal of Real-Time Image Processing / Aug 16, 2023

Elhanashi, A., Saponara, S., Dini, P., Zheng, Q., Morita, D., & Raytchev, B. (2023). An integrated and real-time social distancing, mask detection, and facial temperature video measurement system for pandemic monitoring. Journal of Real-Time Image Processing, 20(5). https://doi.org/10.1007/s11554-023-01353-0

Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images

IEEE Access / Jan 01, 2023

Elhanashi, A., Saponara, S., & Zheng, Q. (2023). Classification and Localization of Multi-Type Abnormalities on Chest X-Rays Images. IEEE Access, 11, 83264–83277. https://doi.org/10.1109/access.2023.3302180

An automated AI and video measurement techniques for monitoring social distancing, mask detection, and facial temperature screening for COVID-19

Real-time Processing of Image, Depth and Video Information 2023 / Jun 07, 2023

Elhanashi, A., Saponara, S., & Zheng, Q. (2023). An automated AI and video measurement techniques for monitoring social distancing, mask detection, and facial temperature screening for COVID-19. Real-Time Processing of Image, Depth and Video Information 2023. https://doi.org/10.1117/12.2663754

An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data

Algorithms / Oct 07, 2020

Fedele, R., & Merenda, M. (2020). An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data. Algorithms, 13(10), 254. https://doi.org/10.3390/a13100254

Assembly of micro-/nano- materials with optoelectronic tweezers and freeze-drying

2022 IEEE International Conference on Real-time Computing and Robotics (RCAR) / Jul 17, 2022

Li, F., Xu, B., & Zhang, S. (2022). Assembly of micro-/nano- materials with optoelectronic tweezers and freeze-drying. 2022 IEEE International Conference on Real-Time Computing and Robotics (RCAR). https://doi.org/10.1109/rcar54675.2022.9872290

MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems

Drones / Sep 22, 2023

Zheng, Q., Tian, X., Yu, Z., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). MobileRaT: A Lightweight Radio Transformer Method for Automatic Modulation Classification in Drone Communication Systems. Drones, 7(10), 596. https://doi.org/10.3390/drones7100596

A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data

Big Data and Cognitive Computing / Jul 15, 2023

Tian, X., Zheng, Q., Yu, Z., Yang, M., Ding, Y., Elhanashi, A., Saponara, S., & Kpalma, K. (2023). A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data. Big Data and Cognitive Computing, 7(3), 131. https://doi.org/10.3390/bdcc7030131

Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity

Applied Sciences / Jun 25, 2023

Dini, P., Elhanashi, A., Begni, A., Saponara, S., Zheng, Q., & Gasmi, K. (2023). Overview on Intrusion Detection Systems Design Exploiting Machine Learning for Networking Cybersecurity. Applied Sciences, 13(13), 7507. https://doi.org/10.3390/app13137507

A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning

Electric Power Systems Research / Jun 01, 2023

Zheng, Q., Wang, R., Tian, X., Yu, Z., Wang, H., Elhanashi, A., & Saponara, S. (2023). A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning. Electric Power Systems Research, 219, 109241. https://doi.org/10.1016/j.epsr.2023.109241

DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization

Engineering Applications of Artificial Intelligence / Jun 01, 2023

Zheng, Q., Tian, X., Yu, Z., Wang, H., Elhanashi, A., & Saponara, S. (2023). DL-PR: Generalized automatic modulation classification method based on deep learning with priori regularization. Engineering Applications of Artificial Intelligence, 122, 106082. https://doi.org/10.1016/j.engappai.2023.106082

Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China

Sustainable Cities and Society / May 01, 2023

Zheng, Q., Tian, X., Yu, Z., Jiang, N., Elhanashi, A., Saponara, S., & Yu, R. (2023). Application of wavelet-packet transform driven deep learning method in PM2.5 concentration prediction: A case study of Qingdao, China. Sustainable Cities and Society, 92, 104486. https://doi.org/10.1016/j.scs.2023.104486

A Blind Modulation Classification Method Based on Decision Tree and High Order Cumulants

Lecture Notes in Electrical Engineering / Jan 01, 2023

He, Y., Wu, H., Zheng, Q., Liu, Y., Elhanashi, A., & Saponara, S. (2023). A Blind Modulation Classification Method Based on Decision Tree and High Order Cumulants. Applications in Electronics Pervading Industry, Environment and Society, 312–319. https://doi.org/10.1007/978-3-031-30333-3_42

Digital Modulation Recognition Method Based on High-Order Cumulant Feature Learning

Lecture Notes in Electrical Engineering / Jan 01, 2023

Li, H., Wu, H., Zhen, Q., Liu, Y., Elhanash, A., & Saponara, S. (2023). Digital Modulation Recognition Method Based on High-Order Cumulant Feature Learning. Applications in Electronics Pervading Industry, Environment and Society, 287–293. https://doi.org/10.1007/978-3-031-30333-3_38

Machine Learning Techniques for Anomaly-Based Detection System on CSE-CIC-IDS2018 Dataset

Lecture Notes in Electrical Engineering / Jan 01, 2023

Elhanashi, A., Gasmi, K., Begni, A., Dini, P., Zheng, Q., & Saponara, S. (2023). Machine Learning Techniques for Anomaly-Based Detection System on CSE-CIC-IDS2018 Dataset. Applications in Electronics Pervading Industry, Environment and Society, 131–140. https://doi.org/10.1007/978-3-031-30333-3_17

Modulation Recognition Based on BP Neural Network

Lecture Notes in Electrical Engineering / Jan 01, 2023

Sun, Z., Wu, H., Zheng, Q., Liu, Y., Elhanashi, A., & Saponara, S. (2023). Modulation Recognition Based on BP Neural Network. Applications in Electronics Pervading Industry, Environment and Society, 339–345. https://doi.org/10.1007/978-3-031-30333-3_46

Deep learning techniques to identify and classify COVID-19 abnormalities on chest x-ray images

Real-Time Image Processing and Deep Learning 2022 / May 27, 2022

Elhanashi, A., Lowe, D., Saponara, S., & Moshfeghi, Y. (2022). Deep learning techniques to identify and classify COVID-19 abnormalities on chest x-ray images. Real-Time Image Processing and Deep Learning 2022. https://doi.org/10.1117/12.2618762

An Intelligent Non-cooperative Spectrum Sensing Method Based on Convolutional Auto-encoder (CAE)

Lecture Notes in Electrical Engineering / Jan 01, 2022

Zheng, Q., Wang, H., Elhanashi, A., Saponara, S., & Zhang, D. (2022). An Intelligent Non-cooperative Spectrum Sensing Method Based on Convolutional Auto-encoder (CAE). Applications in Electronics Pervading Industry, Environment and Society, 1–9. https://doi.org/10.1007/978-3-030-95498-7_1

Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks

Applied Sciences / Oct 30, 2022

Sun, Y., Elhanashi, A., Ma, H., & Chiarelli, M. R. (2022). Heat Conduction Plate Layout Optimization Using Physics-Driven Convolutional Neural Networks. Applied Sciences, 12(21), 10986. https://doi.org/10.3390/app122110986

Reconstruct fingerprint images using deep learning and sparse autoencoder algorithms

Real-Time Image Processing and Deep Learning 2021 / Apr 12, 2021

Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Reconstruct fingerprint images using deep learning and sparse autoencoder algorithms. Real-Time Image Processing and Deep Learning 2021. https://doi.org/10.1117/12.2585707

Enabling YOLOv2 Models to Monitor Fire and Smoke Detection Remotely in Smart Infrastructures

Lecture Notes in Electrical Engineering / Jan 01, 2021

Saponara, S., Elhanashi, A., & Gagliardi, A. (2021). Enabling YOLOv2 Models to Monitor Fire and Smoke Detection Remotely in Smart Infrastructures. Applications in Electronics Pervading Industry, Environment and Society, 30–38. https://doi.org/10.1007/978-3-030-66729-0_4

Exploiting R-CNN for video smoke/fire sensing in antifire surveillance indoor and outdoor systems for smart cities

2020 IEEE International Conference on Smart Computing (SMARTCOMP) / Sep 01, 2020

Saponara, S., Elhanashi, A., & Gagliardi, A. (2020). Exploiting R-CNN for video smoke/fire sensing in antifire surveillance indoor and outdoor systems for smart cities. 2020 IEEE International Conference on Smart Computing (SMARTCOMP). https://doi.org/10.1109/smartcomp50058.2020.00083

Education

University of Pisa

PhD, Department of Information Engineering / February, 2023

Pisa

University of Nicosia

MBA, Department of Business Management / March, 2018

Nicosia

University of Glasgow

Master of Science, Department of Electronics and Electrical Engineering / January, 2018

Glasgow

Experience

University of Pisa

Researcher / July, 2019Present

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