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datistpt01v

Kamal Hussain

@datistpt01v
5,0(3)

AI Engineer and Researcher

Portugal
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I am a PhD candidate in Informatics Engineering with over five years of professional and research experience in cutting-edge technologies. My expertise lies in Artificial Intelligence (AI), Virtual Reality (VR), computer vision, machine learning, deep learning, Graph Neural Networks (GNNs), and social network analysis. I specialize in developing innovative solutions that bridge research and practical applications, delivering high-quality results tailored to your needs. Let’s bring your vision to life with my expertise!... Plus d’infos

Compétences

d
datistpt01v
Kamal Hussain
hors ligne • 

Voir mes services

Automatisations
I will do social network analysis and graph neural networks
5,0(3)
Intégrations IA
I will develop computer vision projects

Portfolio

Expérience professionnelle

Instituto_Politécnico de Tomar

Research Follow

Instituto Politécnico de Tomar • Temps plein

Sep 2025 - Present1 yr

Developed an AI-driven "Coach" system to analyze driver performance in the Assetto Corsa racing simulator. • Designed the system to evolve through three phases, enhancing coaching sophistication. • Leveraged telemetry data to provide personalized feedback, mimicking professional racing coach support.

INESC

Research Follow

INESC • Temps plein

Mar 2024 - May 20251 yr 2 mos

Conducted research for the XAVIER project, integrating VR with chest X-ray databases. • Developed a novel multimodal deep learning architecture to learn from human classification patterns. • Aimed to enhance trust in AI systems for clinical decision-making through improved X-ray interpretation. • Collaborated with radiologists to annotate data, promoting VR in clinical X-ray assessments.

Instituto_Politécnico de Tomar

Reseach Follow

Instituto Politécnico de Tomar • Temps plein

Mar 2022 - Jun 20231 yr 3 mos

BREUCA Project: Developed optimal trajectory planning and lap time estimation using GNN and Deep Learning approaches.

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