💼  PROFESSIONAL ROLES

• Lecturer, Electrical & Computer Engineering  Deptt [Sept 2023 ~ Present]

  • Inha University, South Korea

• Post-doc, ICT-Future Vehicle Engineering  Deptt     [Sept 2023 ~ Present]

  • Inha University, South Korea

• Computer Vision Engineer,  TheCircleLimited     [Oct 2023 ~ Present]

  • Remote Freelance in collaboration with Bradford University, United Kingdom.

🎓  EDUCATION

PhD (Electrical and Computer Engineering) [2019- Aug 2023]

• Inha University, Incheon, South Korea

• Thesis: Multimodal federated learning using selective block split-attention fusion

• CGPA: 4.42 / 4.5

MS (Electrical Engineering) [2011- 2014]

• National University of Science and Technology (NUST)-SEECS, Pakistan

• Pakistan’s Top-ranked university, Parallel to Job at evening session.

• Thesis: Design and Optimization of Band-Stop Frequency Selective Surfaces

BS (Telecommunication Engineering) [2006- 2010]

• National University of Computer and Emerging Sciences (NUCES), Pakistan

• Thesis: Multiuser DSSS-CDMA-based Communication System for Data and Voice

💼  EXPERIENCE 

Research [4 + yrs] + Industry [6 + Yrs] + Teaching [3+ Yrs]

• Computer Vision Engineer,  TheCircleLimited     [Oct 2023 ~ Present]

Remote Freelance position in collaboration with Bradford University, United Kingdom.

• Key Projects:

  • Gait Analysis System: Currently in progress.

  • Super Resolution System: Successfully delivered.

  • Face Recognition and Forensic Applications: Successfully delivered.

  • Thermal Camera Analysis: Upcoming project to be initiated in the future.

• Lecturer, Electrical & Computer Engineering  Deptt [Sept 2023 ~ Present]

  • Inha University, South Korea

• Post-doc, ICT-Future Vehicle Engineering  Deptt     [Sept 2023 ~ Present]

  • Inha University, South Korea

Research Assistant - IES Lab [2019- Aug 2023]

Intelligent Embedded System Lab, Inha University, Incheon, South Korea

Home page https://ieslinhalab.wixsite.com/mysite-1/people

• Development and optimization of deep learning algorithms

• Time Series Classification/synthesis

  • • • Silent Speech Voicing (EMG + EGG)

        • • • Transduction Model (Transformer, gMLPs, ResNet)

            • Speech Synthesis (WaveNet, HiFiGANs, ParallelWaveGAN, etc)

      •  Driver Behavior Profiling (FCN- LSTM, DepthConvLSTM)

      • Human Activity Recognition ( DeepConvLSTM, SE )

• Deep Learning Model Optimizations /Compression

  • • • Sparse Learning

      • Network Pruning (Channel Pruning, Filter Pruning, etc.)

      • Knowledge Distillation

• Multi-Modal Fusion (Early/Mid-level/ Late fusions)

• SBSAF for vision and physiological sensors (Bio-signals

(EEG, EoG PPG, ECG)) for drowsiness detection

• Federated Learning / Personalized FL

  • • • Model selection algorithm to enhance convergence

        • • • Model Aggregations: FedAvg, FedGKT, MSFedGKT

            • Lightweight model at edge devices

      • Offloading to server via MSFedGKT

• Meta-Learning for Silent Speech voicing

  • • • Multimodal Daset Acquisition(EMG + EGG + voice)

      • MAML, proto-MAML, pro-typical networks

System Design Engineer (ML/CV)   [2013- Aug 2019]

Sedenius Technologies/TheRobotVision, R & D Org, Pakistan

Home Page: https://pk.sedenius.com/

Responsibilities: Design, development, and implementation of Algorithms

• •Action Recognition (Image registration), Motion Detection in Video

• Visual Saliency Detection (based on traditional image processing techniques)

• 3D- Object Classification (Point –Cloud) using PointNet

• Deep Neural Networks, Statistical ML, SVM (Support Vector Machine)

• Deep Auto-Encoders for HSI un-mixing and classification

• Tunnel Inspection (Deformations detection) using image registration

• Hyper-spectral image classification/ un-mixing.

• Sense and avoid using stereo Vision (Autonomous robot),

• Robot/Vehicle Navigation using Visual Odometry/Template matching

  • • • Elastic Image registration

• Biomedical anomaly detection using image registration

  • • • Based on heart-beat imagery, motion patterns using elastic shifts

• Camera calibration (Preprocessing steps before visual odometry)

  • • • For distortion removal (barrel distortion, pincushion distortion)

      • For ortho-rectification

        • • • Removing the effect of RPY to find exact pixel shifts.

• Attitude(RPY) estimation using visual odometry

Lecturer/Lab Engineer  [2010- June 2013]

Electrical Engineering Department, National University of Computer and Emerging Sciences (NUCES-FAST), Pakistan

Responsibilities: Lecturer-ship, Conduction of hardware Labs,

Supervision of student’s Capstone Projects.

• Courses/ Labs teaching

  • • • Microcontrollers Interfacing and Programming Lab

      • Digital Logic Design Lab

      • Wave Propagation and Antenna Theory Lab

      • Digital Communication Lab

      • Instrumentation and Measurement Lab

      • Feedback and control system lab

      • Electrical Engineering Workshop

🏆  AWARDS AND HONORS

• 📜 "Excellent Student Award"

  • • • For outstanding research and academic achievements in PhD.

      • Awarded on graduation day by Inha University, South Korea.

• 🏅 Fully Funded PhD Scholarship

  • • • Inha University, South Korea.

• 🥇 Gold Medal in BS (Telecommunication Engineering)

  • • • 1st position in Batch (Magna cum laude).

• 📜Best Paper Award

  • • • ICNGC-KINGPC Conference in Jeju, Korea.

• 📜Dean's List of Honors

  • • • Inscribed 7 times out of 8 semesters (>3.5/4.0) in BS.

• 🎗️ Research Grant Achievements during PhD

  • • • Mobile Edge Computing development for connected car environment.

      • Federated Learning using edge computing environments.

      • Silent Speech Voicing using Meta-learning algorithms.