Postdoctoral Researcher — Umeå University

Distributed & Federated Learning • Split Learning • AIoT • Edge Computing

Total papers: 55 Citations: 825 H-index: 17 i10-index: 24
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Office # MIT.D.224, Dept. of Computing Science, Umeå University, SE-901 87, Umeå, Sweden

About

With a PhD in Computer Engineering from Jeju National University and a career spanning academia and research, I focus on distributed machine learning and edge computing. I have led projects in split federated learning, mentored PhD students, built digital-twin platforms for FL, and explored NAS for resource-constrained devices, contributing to a body of work with a cumulative impact factor of 220+.

Quick Stats

SCI/E Papers51
Book Chapters01
In-review02
Cumulative IF227
Corresponding Author04

Research Interests

Artificial Intelligence of Things (AIoT) Federated Learning Split Learning On Device AI

Experience

Postdoc Researcher, ADS Lab — Umeå University

Sept 2025 – Present

STINT project on Federated Learning for resource-constrained devices.

Postdoc Researcher — Wireless Intelligent Networks Lab, Kyunghee University

Mar 2024 – Aug 2025

Project participation, reporting, paper writing, and PhD mentoring.

Researcher — Bigdata Research Center, Jeju National University

Feb 2021 – Feb 2024

Project execution and publications.

Visiting Lecturer — COMSATS University Islamabad, Attock Campus

Jan 2018 – Feb 2020

Led programming labs in Java, Python, and C#; supervised industry-style student projects.

Education

  • PhD, Computer Engineering — Jeju National University, Korea (Mar 2020 – Feb 2024)
    CGPA: 4.39/4.5
  • MSCS — COMSATS University Islamabad, Pakistan (Feb 2018 – Jan 2020)
    CGPA: 3.63/4.0
  • MCS — COMSATS University Islamabad, Pakistan (Feb 2016 – Jan 2018)
    CGPA: 3.83/4.0

Awards

  • Excellent Academic Achievement Award — PhD 2024
  • Campus Gold Medal — MSCS2020
  • Campus Gold Medal — MCS 2018
  • Institute Silver Medal — MCS 2018

Research Projects

On going Completed

Dynamic Split FL for Resource-Constrained Devices

Umeå University • Sept 2025 – Present

Adaptive client–server partitioning to reduce latency and energy for low-power edge clients.

UAV-Enabled Decentralized Federated Learning

Kyung Hee University • Mar 2025 – Present

Airborne relays for topology-aware DFL to improve connectivity, robustness, and coverage.

Split FL in Multi-Cell Environments

Kyung Hee University • Mar 2024 – Aug 2025

Mitigating resource heterogeneity and distribution shifts via split learning across cells.

NAS for Resource-Constrained Devices in DFL

Jeju National University • Apr 2023 – Feb 2024

Automated architecture search tailored to diverse edge capabilities and constraints.

Optimization of Topology in DFL

Jeju National University • Apr 2023 – Feb 2024

Learning communication structures that reduce latency and improve convergence.

Digital Twin for Decentralized Federated Learning

Jeju National University • Mar 2023 – Dec 2023

Remote monitoring/control of DFL clients with real-time observability and fault handling.

Personalized Hierarchical Heterogeneous FL

Jeju National University • Dec 2022 – Apr 2023

Hierarchical personalization for smart-home thermal comfort in heterogeneous settings.

Digital Twin for Centralized Federated Learning

Jeju National University • Dec 2021 – May 2022

DT framework to supervise, validate, and control centralized FL clients at scale.

Sampling-Based Model Consolidation for Attack Prevention in FL

Jeju National University • Mar 2022 – May 2022

Client/model selection via sampled validation to resist poisoning and low-quality updates.

Indoor Environment Optimization with Edge DL

MoE–NRF Korea • Jul 2021 – Apr 2022

Edge AI models for predictive control of indoor environmental parameters; Research Assistant role.

Optimal Location for Water Drilling

ETRI (Korea) • Dec 2021 – May 2022

Geological ML to identify soft layers and estimate water levels for lower-risk drilling.

Self-Optimal Environment Control for Greenhouses

ETRI (Korea) • Apr 2021 – Dec 2021

Raspberry Pi + TensorFlow forecasts with Differential Evolution to minimize energy costs.

Real-Time Situation Reporting Using YOLO

Jeju National University • Jan 2021 – Apr 2021

Object type/size/distance extraction for scene narration. Demos: SM1, SM2.

Publications

1
2025 • IEEE Access

A Unified Approach for Object Detection and Depth Map based Distance Estimation in Security and Surveillance Systems


2
2025 • IEEE Access

An Auto-Annotation Approach for Object Detection and Depth-Based Distance Estimation in Security and Surveillance Systems


3
2025 • Internet of Things

Consensus-driven hyperparameter optimization for accelerated model convergence in decentralized federated learning


4
2025 • Engineering Applications of Artificial Intelligence

Corrigendum to “Safety monitoring digital twin-based centralized model consolidation mechanism using dynamic node selection for multi-worker safety prediction”[Eng. Appl. Artif. Intell. 161 Part B (2025) 112186]


5
2025 • Alexandria Engineering Journal

Cross-cluster precision-guided knowledge fusion for fair and personalized federated learning


6
2025 • Complex \& Intelligent Systems

DFL topology optimization based on peer weighting mechanism and graph neural network in digital twin platform


7
2025 • Information Sciences

Multimodal cross-domain contrastive learning: A self-supervised generative and geometric framework for visual perception


8
2025 • Engineering Applications of Artificial Intelligence

Personalized hierarchical heterogeneous federated learning for thermal comfort prediction in smart buildings


9
2025 • Engineering Applications of Artificial Intelligence

Safety monitoring digital twin-based centralized model consolidation mechanism using dynamic node selection for multi-worker safety prediction


10
2024 • Mathematics

A machine learning-based framework with enhanced feature selection and resampling for improved intrusion detection


11
2024 • IET Collaborative Intelligent Manufacturing

Adaptive DFL-based straggler mitigation mechanism for synchronous ring topology in digital twin networks


12
2024 • PeerJ Computer Science

An intelligent diabetes classification and perception framework based on ensemble and deep learning method


13
2024 • IEEE Access

Brain tumor segmentation using generative adversarial Networks


14
2024 • Pattern Analysis and Applications

Computer-aided diagnosis of Alzheimer’s disease and neurocognitive disorders with multimodal Bi-Vision Transformer (BiViT)


15
2024 • IEEE Access

Enhanced Abnormality Detection Mechanism based on PSO Assisted Adaptive Ensemble’s Weights Optimization for Protection of Energy AIoT Devices


16
2024 • IEEE Access

Enhanced Abnormality Detection via PSO-Driven Adaptive Ensemble Weighting for Energy AIoT Device Security


17
2024 • Multimedia Tools and Applications

Enhanced federated recognition mechanism based on spatial-temporal model with split learning for multi-view human activity classification in edge intelligent network


18
2024 • Science and Technology for Energy Transition

Enhancing energy consumption prediction in smart homes: a convergence-aware federated transfer learning approach


19
2024 • IEEE Access

Geo-temporal selective approach for dynamic depth estimation in outdoor object detection and distance measurement


20
2024 • IEEE Access

JusticeAI: A Large Language Models Inspired Collaborative \& Cross-Domain Multimodal System for Automatic Judicial Rulings in Smart Courts


21
2024 • 2024 15th International Conference on Information and Communication Technology Convergence (ICTC)

Latency Analysis of Multi-Exit Split Federated Learning via Testbed Implementation


22
2024 • Computers and Electrical Engineering

Multi-modal fusion approaches for tourism: A comprehensive survey of data-sets, fusion techniques, recent architectures, and future directions


23
2024 • Computers and Electronics in Agriculture

Optimal environment control and fruits delivery tracking system using blockchain for greenhouse


24
2024 • Energy Reports

Optimizing energy efficiency and comfort in smart homes through predictive optimization: A case study with indoor environmental parameter consideration


25
2024 • 2024 15th International Conference on Information and Communication Technology Convergence (ICTC)

Serverless Federated Learning in Multi-Cell Scenarios Robust to Test-Time Distribution Shifts


26
2023 • Computers and Electrical Engineering

A multi-perspective revisit to the optimization methods of Neural Architecture Search and Hyper-parameter optimization for non-federated and federated learning environments


27
2023 • ACS omega

A new method for determination of optimal borehole drilling location considering drilling cost minimization and sustainable groundwater management


28
2023 • Internet of Things

A precision-centric approach to overcoming data imbalance and non-IIDness in federated learning


29
2023 • Internet of Things

An OCF-IoTivity enabled smart-home optimal indoor environment control system for energy and comfort optimization


30
2023 • IEEE Access

Arabic sentiment analysis and sarcasm detection using probabilistic projections-based variational switch transformer


31
2023 • Healthcare

CADFU for dermatologists: A novel chronic wounds \& ulcers diagnosis system with DHuNeT (Dual-Phase Hyperactive UNet) and YOLOv8 algorithm


32
2023 • IEEE Access

Decentralized machine learning training: a survey on synchronization, consolidation, and topologies


33
2023 • 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom)

Energy trading framework based on IoT and digital twin for nanogrid environment


34
2023 • IEEE Internet of Things Journal

Hetero-FedIoT: A rule-based interworking architecture for heterogeneous federated IoT networks


35
2023 • Sensors

Hybrid deep learning and discrete wavelet transform-based ECG biometric recognition for arrhythmic patients and healthy controls


36
2023 • Internet of Things

Intelligent digital twin for federated learning in AIoT networks


37
2023 • IEEE Access

Predictive modeling of water table depth, drilling duration, and soil layer classification using adaptive ensemble learning for cost-effective percussion water borehole drilling


38
2022 • IEEE Access

A criticality-aware dynamic Task Scheduling mechanism for efficient resource load balancing in constrained Smart Manufacturing Environment


39
2022 • Healthcare

A healthcare paradigm for deriving knowledge using online consumers’ feedback


40
2022 • IEEE Access

A novel hybrid clustering approach based on black hole algorithm for document clustering


41
2022 • Applied Sciences

Aggression detection in social media from textual data using deep learning models


42
2022 • Tomography

An efficient multi-scale convolutional neural network based multi-class brain MRI classification for SaMD


43
2022 • Healthcare

Clinical decision support framework for segmentation and classification of brain tumor MRIs using a U-Net and DCNN cascaded learning algorithm


44
2022 • Applied Sciences

Efficient fake news detection mechanism using enhanced deep learning model


45
2022 • Journal of manufacturing systems

Enhanced time-constraint aware tasks scheduling mechanism based on predictive optimization for efficient load balancing in smart manufacturing


46
2022 • Mathematics

Identification of review helpfulness using novel textual and language-context features


47
2022 • IEEE Internet of Things Journal

Optimal environment control mechanism based on OCF connectivity for efficient energy consumption in greenhouse


48
2022 • Intelligent Systems and Networks: Selected Articles from ICISN 2022, Vietnam

Optimizing Energy Consumption in Smart Homes Based on OCF Standard Connectivity


49
2022 • IEEE Access

Prediction of movie quality via adaptive voting classifier


50
2021 • Energies

An ensemble energy consumption forecasting model based on spatial-temporal clustering analysis in residential buildings


51
2021 •

An ensemble energy consumption forecasting model based on spatial-temporal clustering analysis in residential buildings. Energies 14 (11), 3020 (2021)


52
2021 • IEEE Access

Boreholes data analysis architecture based on clustering and prediction models for enhancing underground safety verification


53
2021 • Ieee Access

Enhanced optimization-based voting classifier and chained multi-objective regressor for effective groundwater resource management


54
2021 • IEEE Access

Groundwater level prediction model using correlation and difference mechanisms based on boreholes data for sustainable hydraulic resource management


55
2021 • IEEE Access

Toward effective pattern recognition based on enhanced weighted K-mean clustering algorithm for groundwater resource planning in point cloud


56
2021 • Applied Sciences

WR-SVM model based on the margin radius approach for solving the minimum enclosing ball problem in support vector machine classification


Technical Skills

Programming
PythonJavaC++C#PHP
Frameworks & CMS
DjangoFlaskCodeIgniterWordpress
Web Development
HTMLCSSBootstrapJavaScriptjQueryPHPPython
Databases & Tools
SQLMySQLMATLABJupyterPyCharmVS
Protocols & OS
IEEE 802.11HTTPCoAPTCP/IP
UbuntuRaspbianWindows

Contact

Office # MIT.D.224, Dept. of Computing Science, Umeå University

+46‑76‑758‑0952

atifr@cs.umu.seatifrizwan91@gmail.com

References
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