Career Highlight:
PhD (Australia)
Postdoc (Australia, Spain, USA)
Academic (Australia, Bangladesh)
Research and Innovation Engineer (Poland)
Technical Project Leader (Poland, Australia)
Project Manager (Poland, Australia)
PhD (Australia)
Postdoc (Australia, Spain, USA)
Academic (Australia, Bangladesh)
Research and Innovation Engineer (Poland)
Technical Project Leader (Poland, Australia)
Project Manager (Poland, Australia)
Proposal Engagement: 35+
Technical Project Leadership: 06+
Project Management: 05+
Research Grant (Accumulation): 5 Million+ USD (EU, USA, Australia)
Intellectual Contributions: Patent:02; Book:03; Publications: 70+, Deliverables 18+
Supervision: 30+ (PhD:03; M.Sc: 05; B.Sc: 27+)
An interference-aware Cooperative Radio Resource Management Scheme for cell-free RAN (Co-Supervisor)
Approximate computing in B5G and 6G wireless systems (Co-Supervisor)
Resource Management for Converged Optical and Radio Architecture in 6G Networks (Co-Supervisor)
M.Sc:
Design of a novel multi-clustered 5G network for IoT applications (Principal Supervisor)
Mobility Management in Next Generation Wireless Networks (Principal Supervisor)
Reliability Improvement through Adaptive Error Correction Coding in Underwater Communication Network (Principal Supervisor)
B.Sc:
Routing strategies for next generation ad hoc networks.
Millimeter wave Backhaul Channel Modeling in Separate Frequency Banks and Scenarios
Resource management and cost analysis for mmWave backhauling in 5G systems.
Statistical outdoor mmWave channel modeling for 5G Heterogeneous Networks.
A software radio based power saving strategy for next generation mobile systems.
Millimeter Wave Statistical Channel Modeling for Different Indoor Scenarios of 5G Networks
Optimal assessment of routing protocols for agro sensor communications in Mobile ad hoc networks.
Hybrid Precoding Analysis in 5G Millimeter Wave Massive MIMO system: Spectral Efficiency and Energy Efficiency Considerations
Hybrid Beamforming Analysis in 5G : Normalized Mean Square Error, Spectral Efficiency and Energy Efficiency Considerations
Enabling-Device-to-Device Communications in Millimeter Wave Bands & Evaluation of Feedback Method for FDD Massive MIMO in Device-to-Device Communications.
Spectral and Energy Efficiency Investigation in 5G Massive MIMO System using Nakagami-m Fading Channel
Unmanned Aerial Vehicle Network Analysis for Next Generation.
Beamselection in millimeter wave : Over a varied factor using Sub-6 GHz Information.
Isolated Bangla Handwritten Numeral Recognition Using Deep Convolutional Neural Network
Protocol and architecture overview of SS7 signaling in telecommunication network.
Performance evaluation of radio network planning for GSM networks.
Performance analysis for the characteristics of VoIP traffic.
An analysis of the existing WiMax technique and compare with cellular networks.
Performance evaluation of IP Telephony: Flexibility and Security.
Performance study of Femtocell: A new approach in wireless communications.
Performance study of handover issue in mobile WiMax network.
PAPR analysis & simulation for 3GPP LTE system.
Simulation of channel estimation for LTE downlinks system.
Performance study on modulation techniques of WCDMA multipath fading channel.
M.Sc:
A Condition Monitoring System for Rock Drill Bits using Machine Learning System
Development and Evaluation of a Semi-Automated Control Algorithm for Robust Manual Drilling in Mining Operations
Development of an IoT-Based Framework for Integrated Railway Crossing and Signaling Systems
Bayesian Optimisation of an Industrial Process to Respond to Wholesale Electricity Pricing
Leveraging Deep Learning for Predictive Fault Detection and Diagnostic Using Historian Process Data in Automated Manufacturing
Design and Evaluation of a Semi-automated COntrol System to Enhance Manual Drilling in Mining Operations
Integration of IoT-Based Condition Monitoring into Rail Signaling Systems
Black-box Bayesian Optimisation of an Industrial Process to Respond to Wholesale Electricity Prices and Environmental Disturbances
Leveraging Deep Learning for Predictive Fault Detection and Diagnostic Using Historian Process Data in Automated Manufacturing