Kyandoghere Kyamakya

Full Professor for Transportation Informatics

Alpen-Adria-Universität Klagenfurt

Austria

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About

Kyandoghere Kyamakya is a Full Professor for Transportation Informatics at Alpen-Adria-Universität Klagenfurt, Austria. His research focuses on various aspects of transportation informatics, including causal machine learning, smart mobility, and agent-based simulations. Recent publications include work on enhancing building evacuation efficiency, improving recommender systems through AI, and analyzing spatiotemporal data. Additionally, he has contributed to literature on artificial dataset generation in the context of shared electric mobility.

Articles (21)

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Collaborators (4)

Antonio AFFANNI

Adjunct professor

Università degli Studi di Udine Polo Scientifico Ingegneria e Architettura

ITALY

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Kabeh Mohsenzadegan

Researcher/Lecturer

University of Klagenfurt

AUSTRIA

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Fadi Al Machot

Associate Professor

Norwegian University of Life Sciences

NORWAY

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Christian MULOMBA

Assistant Professor

Kyunghee University

SOUTH KOREA

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Kyandoghere Kyamakya

Research Interests

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About

Articles (21)

Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Enhancing Building Evacuation Efficiency in Case of Fire Breakout by Integrating Evacuee Categorization Into an Agent-Based Simulation

Enhancing Sentiment-Driven Recommender Systems With LLM-Based Feature Engineering: A Case Study in Drug Review Analysis

FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation

Enhancing COVID-19 Detection: An Xception-Based Model with Advanced Transfer Learning from X-ray Thorax Images

Comprehensive Sensitivity Analysis Framework for Transfer Learning Performance Assessment for Time Series Forecasting: Basic Concepts and Selected Case Studies

A Comprehensive Literature Review on Artificial Dataset Generation for Repositioning Challenges in Shared Electric Automated and Connected Mobility

A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique

Mean-Median Compromise Method: A Novel Deepest Voting Function Balancing Range Voting and Majority Judgment

Exploring Smart Mobility Potential in Kinshasa (DR-Congo) as a Contribution to Mastering Traffic Congestion and Improving Road Safety: A Comprehensive Feasibility Assessment

A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy

Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment

Data Augmentation for a Virtual-Sensor-Based Nitrogen and Phosphorus Monitoring

Equation-Based Modeling vs. Agent-Based Modeling with Applications to the Spread of COVID-19 Outbreak

Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms

A Novel Zernike Moment-Based Real-Time Head Pose and Gaze Estimation Framework for Accuracy-Sensitive Applications

A Virtual Sensing Concept for Nitrogen and Phosphorus Monitoring Using Machine Learning Techniques

Deep Neural Network Concept for a Blind Enhancement of Document-Images in the Presence of Multiple Distortions

A Comprehensive “Real-World Constraints”-Aware Requirements Engineering Related Assessment and a Critical State-of-the-Art Review of the Monitoring of Humans in Bed

A Smart Visual Sensing Concept Involving Deep Learning for a Robust Optical Character Recognition under Hard Real-World Conditions

Collaborators (4)

Antonio AFFANNI

Kabeh Mohsenzadegan

Fadi Al Machot

Christian MULOMBA

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