Mansoor Hayat

Software Engineering & Data Science

Production AI · LLM Systems · MLOps · Cloud Architecture · Agentic Workflows

Years Building

3×

Throughput Gains

70%

Retrieval Speedup

50%

Faster Deployment

About

I design, build, and ship production AI systems end to end. My work spans RAG pipelines and LLM orchestration, agentic workflow automation, computer vision at clinical scale, MLOps infrastructure across GCP, Azure and AWS, and real-time data engineering. I have delivered measurable results in production environments: a 70% reduction in document retrieval time, 35% analyst workload reduction, 3x pipeline throughput, and sub-100ms inference latency at enterprise scale.

Beyond the engineering, I hold a PhD in Data Science and have published 34+ peer-reviewed papers, giving me the research depth to solve problems that go beyond off-the-shelf solutions. I write about applied ML at BuffML.

↓ Download CV (PDF)

Technical Stack

RAG and LLM Engineering

LangChain · LlamaIndex · FAISS · Pinecone · Chroma · GPT-4 · LLaMA-3 · Claude/Anthropic APIs · LoRA/QLoRA fine-tuning · GPTQ/AWQ quantisation · ONNX export

Agentic AI and Prompt Engineering

n8n workflow automation · multi-agent orchestration · zero-shot / few-shot / chain-of-thought / tree-of-thought · ReAct · Plan-and-Execute · function calling · hallucination detection pipelines

Cloud and MLOps

GCP (Vertex AI, Cloud Run, BigQuery, GKE) · Azure (ML, Data Factory, Databricks, AKS) · AWS (SageMaker, Lambda, S3) · Docker · Kubernetes · GitHub Actions CI/CD · MLflow · DVC · Airflow · Kafka · Prometheus · Grafana

ML and Computer Vision

PyTorch · TensorFlow · Scikit-learn · XGBoost · LightGBM · Hugging Face · OpenCV · ONNX · YOLOv8 · ViT · EfficientNetV2 · PyTorch Geometric (GNNs)

Data Engineering and BI

Azure Data Factory ETL · BigQuery · PostgreSQL · MongoDB · Apache Spark · Kafka · Power BI · Tableau · SQL Server · schema validation · anomaly detection pipelines

Languages and Tools

Python (primary) · SQL · Bash · MATLAB · R · C/C++ · Git/GitHub · Linux · Docker · REST API design

What I Have Built

Sep 2024 – Present

Applied AI Engineer · Postdoctoral Research Fellow
University of Manitoba, Section of Neurosurgery · Winnipeg, MB

3× throughput 24/7 production 60% time reduction

Designed and shipped a production RAG-based clinical data extraction system combining GPT-4, LLaMA-3, FAISS vector retrieval, and LangChain orchestration — deployed as a containerised REST API on GCP Cloud Run with Prometheus/Grafana observability and automated rollback. Built multi-step agentic workflows using n8n and LangChain agents for document parsing, entity extraction, validation, and structured output generation. Implemented full LLM governance: prompt logging, cost tracking per inference call, hallucination detection pipelines — PHIA and PIPEDA compliant. Engineered Azure Data Factory ETL pipelines with schema validation and anomaly detection across multi-sensor clinical data. Secured NSERC Discovery Grant (I2IPJ 598125-24, CAD $125,000 total).

Aug 2022 – Sep 2024

Senior ML Engineer and AI Consultant
Softbox Technologies · Remote

70% faster retrieval 35% workload reduction 50% faster deploys

Designed and shipped enterprise RAG agents (LangChain, FAISS, GPT-4, LLaMA-3) for financial document Q&A and intelligent enterprise search. Built LLM fine-tuning and evaluation platforms (LoRA, QLoRA) on GCP Vertex AI with model registry, drift detection, and automated rollback. Deployed fraud detection systems (XGBoost, autoencoder) on Azure Databricks with Kafka streaming, achieving sub-100ms inference at enterprise scale. Reduced deployment cycles by 50% with GitHub Actions CI/CD, Kubernetes, and Docker across GCP, Azure, and AWS.

Aug 2021 – Jul 2024

Doctoral Researcher · Computational AI and Imaging
Chulalongkorn University · Bangkok, Thailand

2× image resolution 95% IoU 30% latency reduction

Designed SEGSRNet in PyTorch — a novel multi-task architecture solving stereo endoscopic super-resolution and surgical instrument segmentation simultaneously. Architected BigQuery + GCS pipelines for 50,000+ CT studies, reducing preprocessing from 8 hours to 45 minutes per cohort. Exported to ONNX and deployed on GCP Cloud Run. Best Paper Award, IEEE TENCON 2023.

May 2019 – Jun 2021

Data Scientist and ML Engineer
Softbox Technologies · Pakistan (On-site)

60% reporting reduction 50% faster deployments

Deployed ML models on AWS SageMaker and GCP Vertex AI with CI/CD, drift detection, and auto-retraining. Built Power BI and Tableau dashboards on BigQuery and SQL. Built XGBoost/LightGBM churn models with A/B testing and NLP pipelines for text classification and NER.

2021 – Present

AI/ML Technical Writer
BuffML · Remote · buffml.com

Publishes practitioner-focused articles on LLMs, RAG, MLOps, and computer vision — translating CVPR, NeurIPS, and ICLR research into applied engineering content.

Key Deliverables

Clinical RAG Pipeline (NSERC-funded, 2024–25) · 150,000 annotated records · FAISS + LangChain · LLM governance · 3× throughput · 24/7 GCP Cloud Run · PHIA/PIPEDA compliant
Agentic Workflow Automation (UofM, 2024–25) · n8n + LangChain agents for document parsing and entity extraction · 60% manual workload reduction · containerised REST API
Enterprise RAG Agent (Softbox, 2022–24) · LangChain, FAISS, GPT-4/LLaMA-3 · 70% faster retrieval · 35% analyst workload reduction · GCP Cloud Run · GitHub Actions CI/CD
LLM Fine-tuning Platform (Softbox, 2022–24) · LoRA/QLoRA · automated evaluation and rollback · GCP Vertex AI · model registry · cost and latency monitoring
Fraud Detection System (Softbox, 2022–24) · XGBoost + autoencoder · Kafka streaming · sub-100ms inference · Azure ML managed endpoint · full A/B testing
SEGSRNet (PhD, 2023) · Novel multi-task PyTorch architecture · ONNX export · GCP Cloud Run · 2× resolution · 95% IoU · IEEE Best Paper Award

Academic Research Profile

Medical Imaging AI · Physiological Signal Processing · Explainable Deep Learning · Clinical AI

34+

Publications

600+

Peer Reviews

Active Grants

Journals Edited

About

I am an NSERC-funded Postdoctoral Research Fellow at the University of Manitoba, Section of Neurosurgery (Rady Faculty of Health Sciences), working at the intersection of medical imaging AI, physiological signal processing, and clinical decision support. My research focuses on building production-grade deep learning systems that are interpretable, uncertainty-aware, and deployable in real clinical environments including 24/7 ICU pipelines.

I hold a PhD in Data Science with Distinction from Chulalongkorn University, an MSc and BSc in Electrical Engineering, and an MBA. I am a licensed P.Eng. with Engineers Geoscientists Manitoba (APEGM) and serve as Area Chair for IJCNN 2025. My 600+ peer reviews span IEEE TMI, IEEE Access, Scientific Reports, and 60+ other journals.

↓ Download Academic CV (PDF)

Research Interests

Medical Imaging AI Deep Learning Computer Vision Explainable AI Uncertainty Quantification Physiological Signal Processing Graph Neural Networks Image Super-Resolution Semantic Segmentation LLM-Guided Visual Alignment Clinical Decision Support Multi-modal AI

Academic and Research Experience

Sep 2024 – Present

Postdoctoral Research Fellow – Intelligent Sensing, Signal Analysis and Medical AI
University of Manitoba, Section of Neurosurgery, Rady Faculty of Health Sciences · Winnipeg, MB

Leading NSERC-funded research programme developing production-grade medical AI systems for clinical data extraction and physiological signal analysis. Deployed a real-time computer vision pipeline (YOLOv8 + transformer OCR) achieving 3× throughput, running 24/7 on GCP Cloud Run. Developing physiological signal AI models (1D-CNN, LSTM) for ICP, ABP, SpO2, and NIRS anomaly detection with SHAP-based attribution. Supervising Michael Movshovich (MD Year 1) and Vuk Roka (UG Computer Engineering). Completed TIPs teaching development programme (June 2025).

Aug 2021 – Jul 2024

Doctoral Researcher – Computational Imaging and Medical AI
Chulalongkorn University · Bangkok, Thailand · PhD with Distinction

Designed SEGSRNet: original multi-task architecture for stereo endoscopic image super-resolution and surgical instrument segmentation (2× resolution, 95% IoU, 30% latency reduction via SPP). ONNX export, GCP Cloud Run deployment. Published 6 first-author papers. Best Paper Award, IEEE TENCON 2023. Supervised two research students.

Jan 2015 – Apr 2021

Lecturer and Lab Engineer – Electrical and Computer Engineering
University of Sargodha · Pakistan

Designed and delivered OOP (C++/Java, 60 students), Data Structures, DSP, Embedded Systems, MATLAB, and Power Systems courses over 6 years. Supervised 20+ capstone and research project teams. Mentored 2 Master's students (both now lecturers at recognised universities). Maintained 99% laboratory uptime.

Education

2024 – 2027

Postdoctoral Fellow · Section of Neurosurgery, Max Rady Faculty of Health Sciences · University of Manitoba, Winnipeg, MB, Canada

2021 – 2024

Doctor of Philosophy, Data Analytics (Distinction) · Chulalongkorn University, Bangkok, Thailand
Thesis: Endoscopic Image Super-Resolution Algorithm Using Edge and Disparity Awareness

2018 – 2022

Master of Business Administration, Accounting and Finance · National College of Business Administration and Economics (NCBA&E), Lahore, Pakistan

2016 – 2018

Master of Science, Electrical Engineering · Institute of Southern Punjab, Multan, Pakistan
Thesis: Economic Power Dispatch Considering Transmission Losses Using Evolutionary Algorithms

2011 – 2015

Bachelor of Science, Electrical Engineering · University of Engineering and Technology (UET), Taxila, Pakistan

Academic Service

Area Chair · International Joint Conference on Neural Networks (IJCNN) 2025
Academic Editor · IECE · Associate Editor, Avicenna · Editorial Board, International Journal of Medical Imaging
Peer Reviewer (600+ reviews) · IEEE Access (101+) · Electronics (80+) · Biomedical Signal Processing and Control (77+) · Applied Sciences (77+) · Scientific Reports (24) · Sensors (23) · IEEE TMI · IEEE JBHI · Frontiers in Bioinformatics · Journal of Imaging (20) · Tomography (8) · and 50+ other journals

Publications (34+ Total)

Google Scholar · ORCID 0000-0002-1131-2398 · Scopus 58759292300 · WoS IAN-4246-2023

First-Author Journal Articles

Under Review

Occurrence-Aware Prototype Graph Learning for Interpretable Multi-Label Disease Diagnosis

Mansoor Hayat, Supavadee Aramvith

IEEE Access · 2026

Under Review

A Device-Agnostic End-to-End Camera-Based System for Real-Time Medical Device Data Extraction

Mansoor Hayat, Tobias Bergmann, Jaewoong Moon, Amanjyot Singh Sainbhi

Lancet Digital Health · 2026

Published

Superpixel-Guided Graph-Attention Boundary GAN for Adaptive Feature Refinement in Scribble-Supervised Medical Image Segmentation

Mansoor Hayat, Supavadee Aramvith

IEEE Access · 2025 · DOI

Published

Hybrid Deep Learning EfficientNetV2 and Vision Transformer (EffNetV2-ViT) Model for Breast Cancer Histopathological Image Classification

Mansoor Hayat, Nouman Ahmad, Anam Nasir, Zeeshan Ahmad Tariq

IEEE Access · 2024 · DOI

Published

Transformer's Role in Brain MRI: A Scoping Review

Mansoor Hayat, Supavadee Aramvith

IEEE Access · 2024 · DOI

Published

Saliency-Aware Deep Learning Approach for Enhanced Endoscopic Image Super-Resolution

Mansoor Hayat, Supavadee Aramvith

IEEE Access · 2024 · DOI

Published

E-SEVSR: Edge-Guided Stereo Endoscopic Video Super-Resolution

Mansoor Hayat, Supavadee Aramvith

IEEE Access · 2024 · DOI

Published

Squeeze and Excitation Joint with Combined Channel and Spatial Attention for Pathology Image Super-Resolution

Mansoor Hayat

Franklin Open · 2024 · DOI

First-Author Conference Papers

Under Review

LLM-Guided Visual and Semantic Alignment for Medical Image Classification

Mansoor Hayat

IEEE EMBC 2026

Published

Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images

Mansoor Hayat, Supavadee Aramvith, Subrata Bhattacharjee, Nouman Ahmad

IEEE EMBC 2025 · DOI

Published

Cross-Attention Patch Fusion for Few-Shot Colorectal Tissue Generation

Mansoor Hayat, Armaan Dhaliwal, Muhammad Muneeb Ud Din, Rahat Izhar, Muhammad Nadeem, Nouman Ahmad

IEEE ICoDT2 2025 · DOI

Published

HAMSRNet: Hybrid Attention Multiscale Super-Resolution Network for Endoscopic Images

Mansoor Hayat, Rahat Izhar, Muhammad Nadeem, Hafeez Anjum, Aale Muhammad, Subrata Bhattacharjee

IEEE ICoDT2 2025 · DOI

Published

SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation

Mansoor Hayat, Supavadee Aramvith, Titipat Achakulvisut

IEEE EMBC 2024 · DOI

Published

Super-Resolution Methods for Endoscopic Imaging: A Review

Mansoor Hayat, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

IEEE IEMECON 2024 · DOI

Published Best Paper Award

Combined Channel and Spatial Attention-Based Stereo Endoscopic Image Super-Resolution

Mansoor Hayat, Supavadee Aramvith, Titipat Achakulvisut

IEEE TENCON 2023 · DOI

Co-Authored

Published

A Novel Algorithm for the Continuous Determination of Individualized Intracranial Pressure (iICP) Thresholds Using a Multi-Window Weighted Approach

BMC Medical Informatics and Decision Making · 2026 · DOI

Published

Algorithmic Derivation of Optimal CPP, MAP, and BIS Targets from Cerebrovascular Reactivity Indices: A Systematic Scoping Review

Physiological Measurement · 2026 · DOI

Published

Evaluating the Effect of Point-Sampling on Univariate Point and Interval Forecasting of Cerebral Physiologic Signals Using ARIMA Modeling in Acute Traumatic Neural Injury

Neuroscience Informatics · 2026 · DOI

Accepted

DSCH-Net: Diffusion-State-Contextual Hybrid Network for Physics-Inspired and Direction-Aware Dehazing of Remote Sensing Imagery

Naveed Sultan, Mansoor Hayat, Santitham Prom-on

IEEE Transactions on Geoscience and Remote Sensing · 2026

Published

Continuous Personalized Cerebrovascular Reactivity-Based Physiologic Metrics in Neurocritical Care: A Narrative Review

Frontiers in Physiology · 2025 · DOI

Published

Intercerebral Autoregulation Index Consistency in the Derivation of CPPopt, MAPopt, and BISopt in Humans: A Scoping Review

Physiological Reports · 2025 · DOI

Published

Artifact Management Methodologies for Arterial Blood Pressure Signals: A Systematic Scoping Review

Physiological Reports · 2025 · DOI

Published

Optimal Mean Arterial Pressure and Its Objective Statistical Associations with Clinical Outcomes and Multimodal Monitoring Cerebral Physiology: A Systematic Scoping Review

Physiological Reports · 2025 · DOI

Published

Time-Domain Analysis of Low- and High-Frequency Near-Infrared Spectroscopy Sensor Technologies for Characterization of Cerebral Pressure-Flow and Oxygen Delivery Physiology

Sensors · 2025 · DOI

Published

Time-Series Autoregressive Models for Point and Interval Forecasting of Raw and Derived Commercial Near-Infrared Spectroscopy Measures

Bioengineering · 2025 · DOI

Published

Commercial NIRS May Not Detect Hemispheric Regional Disparity in Continuously Measured COx/COx-a: An Exploratory Healthy and Cranial Trauma Time-Series Analysis

Bioengineering · 2025 · DOI

Published

Relationship Between Cerebral Near-Infrared Spectroscopy Signals and Intracranial Pressure: A Systematic Scoping Review

Physiological Measurement · 2025 · DOI

Published

Relationship Between Signals from Cerebral Near-Infrared Spectroscopy Sensor Technology and Objectively Measured Cerebral Blood Volume: A Systematic Scoping Review

Sensors · 2025 · DOI

Published

Characterization of RAP Signal Patterns, Temporal Relationships, and Artifact Profiles Derived from Intracranial Pressure Sensors in Acute Traumatic Neural Injury

Sensors · 2025 · DOI

Published

Fog-Cloud Based Platform for Utilization of Resources Using Load Balancing Technique

Nouman Ahmad, Nadeem Javaid, Mubashar Mehmood, Mansoor Hayat et al.

Advances in Network-Based Information Systems (NBiS 2018) · DOI

Funding and Awards

NSERC Discovery Grant (I2IPJ 598125-24) · Jan 2025 – Jan 2026 · Computer Vision for Continuous Autonomous Data Extraction from Medical Device Interfaces · Natural Sciences and Engineering Research Council of Canada · CAD $125,000 total
Research Manitoba Postdoctoral Fellowship · Sep 2025 – Aug 2026 · Computer Vision for Continuous Data Extraction and Digitization in Health Care · Research Manitoba, Winnipeg
Best Paper Award · IEEE TENCON 2023 · Chiang Mai, Thailand · November 2023
PhD Matching Position for Outstanding Students · Chulalongkorn University, Bangkok · Jan 2024 – Jul 2024
Graduate Scholarship Programme for ASEAN and Non-ASEAN Countries · Chulalongkorn University, Bangkok · Jul 2021 – Apr 2024

Professional Engineer (P.Eng.)

Electrical Engineer

Power Systems · Protection & Control · SCADA · Intelligent Monitoring · T&D

P.Eng.

APEGM Licensed

BSc + MSc + PhD

Electrical Engineering

10+

Years Experience

ETAP · PSS/E

Power Analysis Tools

About

I am a licensed Professional Engineer (P.Eng., Engineers Geoscientists Manitoba, APEGM) with a BSc and MSc in Electrical Engineering and a PhD in power systems analysis and intelligent data acquisition. My engineering background spans electrical system design, protection coordination, SCADA/PLC integration, power system simulation, and automated monitoring system deployment. I combine rigorous traditional electrical engineering with modern data-driven intelligence to create systems that are reliable, compliant, and maintainable.

My MSc thesis focused on economic power dispatch optimisation using evolutionary algorithms across multi-machine power systems. I am well-versed in Canadian electrical codes and standards including CSA C22.1, NECB 2020, NFPA 70E, IEC 60255, IEC 61850, and IEEE C37 series, and hold the EGBC 21st Century Energy Transition certificate.

↓ Download Electrical Engineering CV (PDF)

Technical Expertise

Power System Analysis

ETAP (load flow, short circuit, arc flash, protection coordination) · MATLAB/Simulink (power system modelling, transient simulation) · PSS/E (load flow, fault analysis) · DSATools

Electrical Design and Standards

AutoCAD Electrical (SLDs, schematics, cable schedules, earthing layouts) · IEC 60255 · IEC 61850 · IEEE C37 series · IEEE 80 · CSA C22.1 · ANSI device numbering · NECB 2020

Electrical Safety and Codes

NFPA 70E 2024 — arc flash risk assessment, PPE category methods, energized electrical work permits · NECB 2020 Designer Online Training (NRC Canada/CSA Group) · CSA C22.1 Canadian Electrical Code

Protection and Control

Overcurrent 50/51 · Earth fault 50N/51N · Differential 87 · Distance 21 · Relay secondary injection testing · SCADA/DCS · PLC programming (ladder logic) · Modbus · DNP3 · IEC 61850 GOOSE · Grounding design (IEEE 80)

Intelligent Monitoring and Automation

Embedded system design (Raspberry Pi, sensor arrays) · Computer vision for instrument digitisation (YOLOv8, OCR) · Real-time SCADA-equivalent data acquisition pipelines · Prometheus/Grafana dashboards

Engineering Computing

Python (automation, data pipelines) · MATLAB scripting · Docker · Git/GitHub · Linux · Power BI · SQL

Engineering Experience

Sep 2024 – Present

Electrical Systems Engineer and Intelligent Monitoring Researcher
University of Manitoba, Section of Neurosurgery · Winnipeg, MB

Designed and deployed an embedded real-time monitoring system integrating Raspberry Pi platforms, industrial cameras, and sensor arrays for continuous 24/7 automated data acquisition — architecture directly scalable to substation equipment monitoring and SCADA alarm management. Performed electrical load assessment for a multi-GPU research computing facility: evaluated grounding configurations, surge protection coordination, and UPS integration to ensure supply reliability and equipment protection. Developed computer vision inspection algorithms (YOLOv8, OCR) for automated digitisation of analog and digital instrument display readings — applicable to autonomous substation inspection and condition monitoring. Produced full engineering documentation: wiring diagrams, equipment specifications, installation procedures, compliance records. Secured NSERC Discovery Grant (I2IPJ 598125-24, top-15% acceptance, CAD $125,000).

Jan 2015 – Apr 2021

Lab Engineer and Lecturer – Electrical and Computer Engineering
University of Sargodha · Pakistan

Designed, commissioned, and maintained teaching laboratories for power systems, protection, DSP, and embedded systems — covering relay test sets, PLCs, power quality analysers, oscilloscopes, and high-voltage test equipment. Maintained 99% uptime. Enforced PTW, LOTO, and all electrical safety protocols. Supervised hands-on experiments in overcurrent relay coordination, motor and transformer protection, three-phase power measurement, and fault simulation — methodologies directly aligned with field commissioning and testing practice. Led 20+ capstone teams designing PLC-based control systems, embedded sensor networks, and automated fault detection systems in C/C++, MATLAB, and ladder logic.

Engineering Projects

Autonomous Instrument Monitoring System (UofM, 2024–25) · Raspberry Pi + GPU computer vision pipeline · 3× data throughput · scalable to substation monitoring and SCADA data quality validation · NSERC-funded (I2IPJ 598125-24, CAD $125,000)
Research Facility Power Infrastructure Design (UofM, 2024–25) · Electrical load assessment · UPS integration · grounding verification · surge protection coordination for multi-GPU computing facility · Prometheus/Grafana monitoring dashboards
ETAP Protection Coordination Study (Academic, 2024) · 11 kV/0.415 kV industrial distribution feeders · load flow and short-circuit analysis · overcurrent and earth fault relay resetting · IEC 60255-compliant time/current coordination curves
Transmission Line Modelling and Performance (Coursera/L&T EduTech, 2024) · ABCD constants · voltage regulation · surge impedance loading · Ferranti effect · corona loss calculations using MATLAB
Economic Power Dispatch Optimisation (MSc Thesis, 2018) · MATLAB-based economic dispatch using genetic algorithm and PSO across multi-machine test cases · benchmarked against lambda-iteration and gradient methods

Professional Standing and Certifications

Professional Engineer (P.Eng.) – Engineers Geoscientists Manitoba (APEGM) · Active since December 2025
Registered Engineer · Pakistan Engineering Council · Active since October 2025
NFPA 70E: 2024 Major Changes (1 PDH) · Arc flash risk assessment · PPE category methods · energized electrical work permits
NECB 2020 Designer Online Training · NRC Canada / CSA Group
CSA C22.1 Canadian Electrical Code · Design rules · inspection standards · compliance frameworks
Electric Power Systems · University at Buffalo (Coursera)
Electrical Power Distribution · L&T EduTech
21st Century Energy Transition (2.0 CEH) · EGBC
AutoCAD Drafting Exam Prep · Autodesk
IoT Specialisation (6 courses) · UC Irvine
In Progress: Industrial Power Systems Analysis with ETAP (L&T EduTech) · PLC and HMI Siemens S7 (Packt) · Next-Gen Energy Storage (L&T EduTech)

Education

2021 – 2024

Doctor of Philosophy, Electrical Engineering (Distinction) · Chulalongkorn University, Bangkok, Thailand
Thesis: Endoscopic Image Super-Resolution Algorithm Using Edge and Disparity Awareness

2018 – 2022

Master of Business Administration, Accounting and Finance · National College of Business Administration and Economics (NCBA&E), Lahore, Pakistan

2016 – 2018

Master of Science, Electrical Engineering · Institute of Southern Punjab, Multan, Pakistan
Thesis: Economic Power Dispatch Considering Transmission Losses Using Evolutionary Algorithms

2011 – 2015

Bachelor of Science, Electrical Engineering · University of Engineering and Technology (UET), Taxila, Pakistan

Mansoor Hayat

MBA | PhD | Professional Engineer (P.Eng.)

Postdoctoral Research Fellow · University of Manitoba · Winnipeg, Canada