Altaf Hussain
Chongqing University of Posts and Telecommunications, District Courts, Qatar University
Research areas: Computer Science · Computer Networks and Communications · Mobile Ad Hoc Networks · Underwater Vehicles and Communication Systems · Opportunistic and Delay-Tolerant Networks
0000-0001-7923-9652
About
ALTAF HUSSAIN, male, born in Dir Lower, Pakistan, in 1991, received the B.S. and M.S degrees in Computer Science from the University of Peshawar in 2013, and The University of Agriculture, Peshawar in 2017. Currently, he is Ph.D. scholar with the School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China. He remained a Lecturer from 2020-2021 in Govt. Degree College Lalqilla, where he was teaching to undergraduate level students. He has also worked as Research Assistant with Qatar University, Doha, Qatar. He has authored/published over 60 research publications and actively serves as a reviewer for several IEEE/Elsevier/Wiley/Springer and other reputable international scientific journals. His research focused on Medical IoT/Sensor Networks, Underwater Acoustic Sensors, with particular emphasis on Energy Efficiency, Channel Optimization, Target Detection/Tracking Localization, Edge Positioning, and Dynamic Scheduling, integrating emerging paradigms such as 6G, DRL, Digital Twin, and Quantum Computing. He can be contacted at (E-mail: [email protected] | [email protected]).
Research Profile:
ORCID: 0000-0001-7923-9652,
Google Scholar: https://scholar.google.com/citations?user=XQPiUXIAAAAJ&hl=en
Employment
- 2023 - Present
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Qatar University Research Assistant2021 - 2021
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Government Degree College Lal Qilla Maidan Lecturer in Computer Science2020 - 2021
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Mehran College of Nursing Karachi Network Administrator2017 - 2020
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National Internship Program Internee2016 - 2017
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Peshawar Developmemt Authority Network Supervisor and Computer Operator2014 - 2015
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District Courts
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (43)
- Multimodal Trilemma GNN‐LLM‐XAI Framework Resolving Accuracy Transparency Comprehensibility in E‐Commerce Fraud Detection Save
- Deep Features Evaluation Method of Human Action Recognition Based on Convolutional Neural Network Save
- AI‐Driven Resource Allocation and Beamforming in 6G Terahertz Networks Save
- Energy Optimization and Void Hole Avoidance Using Cooperative Four Hop by Hop Forwarding Verification in IoT‐Enabled Underwater Wireless Sensor Network Save
- An Integrated Demand Forecasting and Location Optimization Framework for Electric Vehicle Charging Stations: A Case Study of District 1, Ho Chi Minh City Save
- 6G-Enabled Underwater-IoT Connected Sensors: A Quantum-Aware and Federated RL-Based Localization-Energy Optimization Save
- ICEEZT: Zero Trust Secure Energy‐Efficient Method for 6G‐Enabled Underwater Acoustic‐RF Networks With Blockchain Integration Save
- 6G-Enabled Quantum-Energy-Aware Multi-Agent Multi-Modal Scheme for Underwater Acoustic–RF Networks Save
- Explainable AI-Driven Intrusion Detection System for Securing Industrial IoT Networks Save
- Integrating Multimodal Learning with Dual-Granularity XAI for E-Commerce Security Save
- LLM-Augmented Spatiotemporal Occupancy-Aware Multi-UAV Scheduling Using OSM-Derived Geospatial Data for Smart-City Last-Mile Delivery Save
- Localization and Energy Efficiency Optimization in Internet of Underwater Things Using Quantum Aware and 6G Integration Save
- HEART: Hybrid Energy-Aware Routing Technique for Dual-Sink Body Area Networks in Smart Healthcare IoT Systems Save
- Interpretable Deep Learning for Diabetic Retinopathy Grading using Regression Activation Maps Save
- Breast Cancer Image Classification into Benign and Malignant using an Intelligent CNN Framework Save
- An Integrated Deep Learning Framework for Real-Time Monitoring of Student Engagement in Smart Classrooms Save
- Detection and Recognition of Real-Time Violence and Human Actions Recognition in Surveillance using Lightweight MobileNet Model Save
- Unleashing the Potentials of IoT with Focus on Energy and Path Loss for Internet of Medical Things Save
- Prediction of Coronavirus Inhibitors in Drug Discovery through Deep Learning Save
- Energy-Efficient and Trust-Based Autonomous Underwater Vehicle Scheme for 6G-Enabled Internet of Underwater Things Save