Algoritmi | User | Ali Abbasi
Ali Abbasi
Ali Abbasi
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
id7532@alunos.uminho.ptOrcid
0000-0002-5581-1279Researcher ID
FCT Public Key
J805470wgX70
Ciência ID
Google Scholar
About Me 
Ali Abbasi is a Senior AI Data Scientist and Compute Service Lead at DTx - Digital Transformation CoLAB. His technical expertise is built on two core pillars: architecting High-Performance Computing (HPC) solutions for large-scale energy optimization in Virtual Power Plants, and designing Commercial MLOps frameworks for rigorous model validation and fraud detection. Currently, he unifies these disciplines through his research in Agentic AI, where he engineers autonomous multi-agent ecosystems. These systems integrate Knowledge Graphs with Large Language Models (LLMs) to automate complex engineering workflows while ensuring regulatory compliance. Previously, Ali served as a Senior Data Engineer, where he built distributed recommendation systems and real-time anomaly detection pipelines for the telecommunications and enterprise software sectors (Mobileum, Primavera). He began his career as an AI Engineer at Bosch Car Multimedia, developing embedded computer vision systems for in-vehicle action recognition. His broad technical foundation spans Quantum-Classical hybrid optimization, edge inference on GPU hardware, and the design of scalable, AI-native platforms.
Publications (9)
Anomaly detection in aggregates of grouped time series, composed of high-dimensional and high-frequency event sequences
2026 | preprint
D-Wave Quantum Solutions for Social Welfare Optimization in Electricity Markets: A Dual Formulation with Environmental Constraints
2026 | book-chapter
Optimizing Social Welfare in Electricity Markets Through Advanced Hyperparameter Tuning of Evolutionary Algorithms: GA, NSGA, and Differential Evolution
2026 | book-chapter
AI-Driven Virtual Power Plant Scheduling: CUDA-Accelerated Parallel Simulated Annealing Approach
Smart Cities
2025 | journal-article
Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing
Smart Cities
2025 | journal-article
Fusion Object Detection and Action Recognition to Predict Violent Action
Sensors
2023 | journal-article
Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case
Sensors
2023 | journal-article
Structural health monitoring of rotary aerospace structures based on electromechanical impedance of integrated piezoelectric transducers
Journal of Intelligent Material Systems and Structures
2018 | journal-article
Design and Implementation of an Accurate, Portable, and Time-Efficient Impedance-Based Transceiver for Structural Health Monitoring
IEEE/ASME Transactions on Mechatronics
2017 | journal-article
Anomaly detection in aggregates of grouped time series, composed of high-dimensional and high-frequency event sequences
2026 | preprint
D-Wave Quantum Solutions for Social Welfare Optimization in Electricity Markets: A Dual Formulation with Environmental Constraints
2026 | book-chapter
Optimizing Social Welfare in Electricity Markets Through Advanced Hyperparameter Tuning of Evolutionary Algorithms: GA, NSGA, and Differential Evolution
2026 | book-chapter
AI-Driven Virtual Power Plant Scheduling: CUDA-Accelerated Parallel Simulated Annealing Approach
Smart Cities
2025 | journal-article
Optimizing Virtual Power Plants with Parallel Simulated Annealing on High-Performance Computing
Smart Cities
2025 | journal-article
Fusion Object Detection and Action Recognition to Predict Violent Action
Sensors
2023 | journal-article
Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case
Sensors
2023 | journal-article
Structural health monitoring of rotary aerospace structures based on electromechanical impedance of integrated piezoelectric transducers
Journal of Intelligent Material Systems and Structures
2018 | journal-article
Design and Implementation of an Accurate, Portable, and Time-Efficient Impedance-Based Transceiver for Structural Health Monitoring
IEEE/ASME Transactions on Mechatronics
2017 | journal-article
