DR. MUHAMMAD KHURRAM EHSAN
| PERSONAL INFORMATION | |||
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| mkehsan.buic@bahria.edu.pk | |||
| Phone Ext. | 9260002 ext1341 | ||
| Research Areas / Expertise | Digital Twin (Wireless/RF), AI Enabled Next-GEN Networks SDNs, Information/Signal Processing and Statistical Data Modeling/Analysis | ||
| QUALIFICATION | |||
| Degree | Passing Year | Majors | University |
| PhD | 2016 | Wireless Communications, Signal Processing | University of Kassel, Germany |
| MS | 2010 | Electrical Communication Engineering | University of Kassel, Germany |
| BS | 2006 | Computer Engineering | COMSATS University, Lahore Campus |
| TEACHING EXPERIENCE | |||
| Designation | From | To | Organization |
| Associate Professor | 01-Feb-2023 | Present | Bahria University, Islamabad Campus |
| Associate Professor | 01-Jul-2022 | 31-Jan-2023 | Bahria University Lahore |
| Senior Assistant Professor | 01-Sep-2017 | 30-Jun-2022 | Bahria University Lahore |
| Visiting Lecturer | 01-Jul-2016 | 30-Aug-2018 | Master Program (Renewable Energy), University of Kassel, Germany |
| Research Associate | 01-Jun-2011 | 30-Apr-2017 | Comlab, University of Kassel, Germany |
| Research Assistant | 01-Nov-2008 | 31-May-2011 | Comlab, University of Kassel, Germany |
| Lecturer | 01-Apr-2007 | 30-Aug-2008 | Bahauddin Zakariya University, Multan |
Publications
Journals & Conferences
- A Framework for Statistical Characterization of Indoor Data Traffic for Efficient Dynamic Spectrum Access in the 2.4 GHz ISM Band | International Journal of Digital Information and Wireless Communications (IJDIWC)
- An Efficient Hybrid Classifier Model for Anomaly Intrusion Detection System | International Journal of Computer Science and Network Security
- Performance Analysis of the Probabilistic Models of ISM Data Traffic in Cognitive Radio Enabled Radio Environments | IEEE ACCESS
- Improved Channel Reciprocity for Secure Communication in Next Generation Wireless Systems | Computers, Materials & Continua
- Characterization of sparse WLAN data traffic in opportunistic indoor environments as a prior for coexistence scenarios of modern wireless technologies | Alexandria Engineering Journal
- Intelligent and Integrated Framework for Exudate Detection in Retinal Fundus Images | Intelligent Automation & Soft Computing
- A Novel Auto-Annotation Technique for Aspect Level Sentiment Analysis | Computers, Materials & Continua
- Prediction of covid-19 daily infected cases (worldwide & united states) using regression models and Neural Network | VFAST Transactions on Software Engineering
- Optimal Resource Allocation and Task Segmentation in IoT Enabled Mobile Edge Cloud | IEEE Transactions on Vehicular Technology
- Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism | Applied Sciences
- Prediction of Surface Roughness as a Function of Temperature for SiO2 Thin-Film in PECVD Process | Micromachines
- Investigation of Leakage Current in Micro M-I-M Structure Using Multilayer High-K Dielectric Materials with COMSOL Multiphysics | Elektronika Ir Elektrotechnika
- Investigation of Spectral Properties of DBR-Based Photonic Crystal Structure for Optical Filter Application | Crystals
- Automated Facial Expression Recognition Framework Using Deep Learning | Journal of Healthcare Engineering
- Intelligence of Autonomous Vehicles: A Concise Revisit | Journal of Sensors
- Dijkstras Algorithm-A Case Study to Understand How Algorithms are improved | VFAST Transactions on Software Engineering
- Machine Learning Empowered Efficient Intrusion Detection Framework | VFAST Transactions on Software Engineering
- A Robust Graph Theoretic Solution of Routing in Intelligent Networks | Wireless Communications and Mobile Computing
- A Systematic Literature Review on Machine Learning and Deep Learning Methods for Semantic Segmentation | IEEE ACCESS
- A modified form of different applied median filter for removal of salt & pepper noise | Multimedia Tools and Applications
- Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition | IEEE ACCESS
- Minimizing Energy Consumption for NOMA Multi-Drone Communications in Automotive-Industry 5.0 | Journal of King Saud University - Computer and Information Sciences
- Efficient resource prediction framework for software-defined heterogeneous radio environmental infrastructures | Advanced Engineering Informatics
- Spectrum Evaluation in CR-Based Smart Healthcare Systems Using Optimizable Tree Machine Learning Approach | Sensors
- MIPA-ResGCN: a multi-input part attention enhanced residual graph convolutional framework for sign language recognition | Computers and Electrical Engineering
- Concomitant Skew and Phase Correction (CSPC) for Industry 5.0 Enabler Pervasive Distributed Computing Systems | IEEE Transactions on Consumer Electronics
- MSE-GCN: A Multiscale Spatiotemporal Feature Aggregation Enhanced Efficient Graph Convolutional Network for Dynamic Sign Language Recognition | IEEE Transactions on Emerging Topics in Computational Intelligence
- DT-RSSI: Digital Twin-Replica of Sensing Statistics for IRA in Intelligent NG-HetNetIs | IEEE Transactions on Mobile Computing
- Context-Free Grammar of a New Programming Language forTeaching and Learning | VFAST Transactions on Software Engineering
- Strengthening Collaboration via Interlinked Skew Assessment and Rectification (ISAR) in Swarm Robotics | IEEE ACCESS
