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حسام رضا محمد عبدالمجيد هواش

Personal Website

Hosam Rada mohamed abdel megeed hawash

Faculty Computers and Informatics - Department Computer Science

Scientific degrees

BSc In NULL, [2016]
MSc In NULL, [2020]

الحالة الوظيفية الحالية :

قائم بالعمل

Academic Jobs

معيد : 24/1/2017
Doctor Assisant : 21/2/2021

Publications

1 - Deep Learning Model for Fine-Grained Aspect-Based Opinion Mining (2020).

2 - ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications (2020).

3 - Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities (2021).

4 - Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks (2021).

5 - FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection (2021).

6 - Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment (2021).

7 - RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions (2021).

8 - PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production (2021).

9 - Two-Stage Deep Learning Framework for Discrimination between COVID-19 and Community-Acquired Pneumonia from Chest CT scans (2021).

10 - Deep learning approaches for human centered IoT applications in smart indoor environments: a contemporary survey (2021).

11 - Privacy-Preserved Cyberattack Detection in Industrial Edge of Things (IEoT): A Blockchain-Orchestrated Federated Learning Approach (2022).

12 - H2HI-Net: A Dual-Branch Network for Recognizing Human-to-Human Interactions From Channel-State Information (2021).

13 - Multimodal Infant Brain Segmentation by Fuzzy-Informed Deep Learning (2021).

14 - Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System (2022).

15 - Federated Intrusion Detection in Blockchain-Based Smart Transportation Systems (2021).

16 - Deep Learning for Heterogeneous Human Activity Recognition in Complex IoT Applications (2020).

17 - Toward Privacy Preserving Federated Learning in Internet of Vehicular Things: Challenges and Future Directions (2021).

18 - Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey (2022).

19 - STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings (2022).

20 - Interval type-2 fuzzy temporal convolutional autoencoder for gait-based human identification and authentication (2022).

21 - Collaborative Screening of COVID-19-like Disease from Multi-Institutional Radiographs: A Federated Learning Approach (2022).

22 - Interpretable Deep Learning for Discriminating Pneumonia from Lung Ultrasounds (2022).

23 - Deep learning approaches for human-centered IoT applications in smart indoor environments: a contemporary survey (2021).

Research Area