eSAM — Exposure Sensing Animated Mannequin
Sep 2022 - Feb 2024Human-sized robotic mannequin for chemical exposure testing with distributed sensors
RoboticsEmbedded SystemsSensor NetworksControl Systems
Mohamad Reza Shahabian Alashti
Machine Learning Research Scientist | Robotics, AI & Computer Vision
Machine Learning and Computer Vision researcher with expertise in real-time human activity recognition, video-based motion analysis, and biomechanical signal processing. Currently a Research Fellow at the University of Hertfordshire, contributing to multidisciplinary projects including SWAG (Soft Wearable Assistive Garment), Hospital at Home, and the PRIME Study. Specializing in deep learning model development, PyTorch, Transformer architectures, sensor fusion, dataset design, and edge AI deployment. Passionate about translating academic research into impactful AI-driven healthcare solutions and agentic systems for ambient assisted living.
Projects & Research
EEG & Facial Emotion Data Collection Platform
Feb-Oct 2025Web-based platform for synchronized multimodal emotion data collection with EEG and facial recognition
EEGEmotion RecognitionVision TransformerWeb Platform
Data Study Group (DSG) — Advanced Manufacturing
Dec 2022Collaborative data science research sprint addressing industrial manufacturing challenges
Data ScienceMachine LearningData AugmentationSynthetic Data
Hospital@Home / PRIME Study
2024-PresentAI-driven virtual ward system for ambient assistive care with multimodal patient monitoring
Healthcare AIMulti-View HARHRISensor Fusion
SWAG — Soft Wearable Assistive Garment
2024-PresentAI-driven intent-detection system using multi-sensor biomechanical data for wearable robotics
Deep LearningSensor FusionMeta-LearningTransformers
Multi-View Human Activity Recognition (RHM-HAR Series)
2020-PresentComprehensive multi-view HAR research with benchmark datasets and advanced AI architectures
Human Activity RecognitionMulti-View VisionTransformerAgentic AI
Tutorials & Educational Content
Events & Workshops
Publications
2026 ICRA 2026
A Modular, Wireless and Wearable Biosignal Acquisition Platform
Mohamad Reza Shahabian Alashti, Co-authors TBD
2025 ICSR 2025
Towards Memory-Driven Agentic AI for Human Activity Recognition
Mohamad Reza Shahabian Alashti, Khashayar Ghamati, Hooman Samani, et al.
2024 BioRob 2024
Efficient Skeleton-based Human Activity Recognition in Ambient Assisted Living Scenarios with Multi-view CNN
Mohamad Reza Shahabian Alashti, Mohammad Bamorovat Abadi, Patrick Holthaus, et al.
2024 BioRob 2024
Robotic Vision and Multi-View Synergy: Action and Activity Recognition in Assisted Living Scenarios
Mohammad Bamorovat Abadi, Mohamad Reza Shahabian Alashti, Patrick Holthaus, et al.
2023 ACHI 2023
Lightweight Human Activity Recognition for Ambient Assisted Living
Mohamad Reza Shahabian Alashti, Mohammad Bamorovat Abadi, Patrick Holthaus, et al.
2023 ACHI 2023
RHM: Robot House Multi-view Human Activity Recognition Dataset
Mohammad Bamorovat Abadi, Mohamad Reza Shahabian Alashti, Patrick Holthaus, et al.
2023 ACHI 2023
RHM-HAR-SK: A multi-view dataset with skeleton data for Ambient Assisted Living Research
Mohamad Reza Shahabian Alashti, Mohammad Bamorovat Abadi, Patrick Holthaus, et al.
2022 Alan Turing Institute Report
Data augmentation and synthetic data generation for low-frequency and sparse data problems
Mohamad Reza Shahabian Alashti, Alan Turing Institute Team, AMRC Collaborators
2021 4th UKRAS21 Conference: Robotics at home Proceedings
Human activity recognition in RoboCup@ home: Inspiration from online benchmarks
Mohamad Reza Shahabian Alashti, Mohammad Bamorovat Abadi, Patrick Holthaus, et al.
2021 4th UKRAS21 Conference: Robotics at home Proceedings
Affordable Robot Mapping using Omnidirectional Vision
Mohammad Bamorovat Abadi, Mohamad Reza Shahabian Alashti, Patrick Holthaus, et al.
2018 6th RSI International Conference on Robotics and Mechatronics (IcRoM)
Automatic ROI Detection in Lumbar Spine MRI
Mohamad Reza Shahabian Alashti, Mohammad Reza Daliri, Behnam Jamei
2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM)
FARAT1: An Upper Body Exoskeleton Robot
Farzad Cheraghpour, Farbod Farzad, Milad Shahbabai, et al.
2017 Artificial Intelligence and Robotics (IRANOPEN)
Mechanical Basic and Detailed Design for the Redundant Arm SAAM applied on a Domestic Service Robot
Farzad Cheraghpour Samavati, Majid Iranikhah, Parastoo Dastangoo, et al.
Professional Experience
Postdoctoral Research Fellow — Deep Learning & Robotics
University of Hertfordshire, UK
Aug 2024 - Present • Hatfield, UK
PythonPyTorchCUDAROS2HRNetYOLOv7
Visiting Lecturer
Various Institutions, London & Hertfordshire
Sep 2021 - Present • London & Hertfordshire, UK
TeachingAICloud ComputingAWSSoftware EngineeringResearch Methods
Senior Engineer & Project Lead
Arta Vision Ava Eng. Co., Tehran, Iran
Feb 2015 - Nov 2020 • Tehran, Iran
PythonDjangoDockerPostgreSQLGrafanaReactJS
Robotics Engineer
University of Hertfordshire, UK
Oct 2022 - Feb 2024 • Hatfield, UK
PythonArduinoRaspberry PiModbus RTUMaxonControl Systems
Mechatronics Designer
SYNTECH Technology & Innovation Center, Iran
Feb 2012 - Mar 2016 • Qazvin, Iran
MechatronicsRoboticsC++ROSLinuxEmbedded Systems
Education
PhD in Computer Science
University of Hertfordshire, UK
2020 - 2024
Thesis: Human Activity Recognition in Ambient Assisted Living Scenarios
MSc in Mechatronics Engineering
Azad University (IAU), Qazvin, Iran
2011 - 2015
Thesis: Intelligent System for Estimating Spinal Cord Injury using Medical Image Segmentation
BSc in Electronic Engineering
Hadaf University, Sary, Iran
2006 - 2011
Thesis: Design and Implementation of an Advanced Path-Following Robot
Skills & Expertise
AI & Machine Learning
Deep Learning, Computer Vision, Facial Emotion Recognition, Video-Based Human Activity Recognition, Pose Estimation, Sensor Fusion, Meta-Learning, Agentic AI, Vision Transformers (ViT), GANs
Programming & Development
Python, C, C++, JavaScript, ReactJS, Node.js, HTML/CSS
Frameworks & Libraries
PyTorch, TensorFlow, Keras, OpenCV, Scikit-Learn, NumPy, Pandas, Streamlit, QT, Docker, ROS1/ROS2
Robotics & Embedded Systems
ROS2, MoveIt, Navigation, Arduino, Raspberry Pi, Maxon Motor Control, Modbus RTU, Mechatronics Integration
Cloud & Infrastructure
Cloud Computing (AWS), Edge AI Deployment, Data Pipelines, Secure Cloud Storage, Scalable Web-Based Systems
About Dr. Shahabian
I am a Machine Learning Research Scientist specializing in robotics, artificial intelligence, and computer vision. My research focuses on developing intelligent systems for ambient assisted living, human-robot interaction (HRI), and wearable assistive technologies using advanced deep learning and sensor fusion techniques.
Currently working as a Research Fellow at the University of Hertfordshire, I contribute to cutting-edge projects including the SWAG (Soft Wearable Assistive Garment) project and the Hospital at Home initiative. My work involves developing AI-driven deep learning models, multi-sensor fusion systems, and multimodal recognition frameworks using PyTorch, ROS2, and Transformer architectures.
With a PhD in Computer Science and MSc in Mechatronics Engineering, my expertise spans from embedded systems and robotics engineering to state-of-the-art Vision Transformers (ViT), Meta-Learning, and Agentic AI. I specialize in human activity recognition, pose estimation, EMG/IMU signal processing, video-based motion analysis, and edge AI deployment for real-time applications.
My research has been published in leading conferences including ICRA, ICSR, and BioRob. I have created publicly available datasets for the research community and actively contribute to advancing healthcare AI and assistive robotics for elderly care and rehabilitation.
Visa Status: UK Global Talent Visa – Academic Exceptional Promise, endorsed by the Royal Academy of Engineering (no sponsorship required).