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, PhD
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 Postdoctoral 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
Sensor Fusion for Wearable Robotics
Tutorial on implementing multi-sensor fusion techniques for wearable assistive devices
Sensor FusionEMGIMUWearable Tech
Getting Started with ROS2 for Robotics
Hands-on tutorial for building robotic applications with ROS2, from basics to advanced topics
ROS2RoboticsPythonC++
Deep Learning for Human Activity Recognition
Comprehensive tutorial on building deep learning models for video-based human activity recognition using PyTorch
Deep LearningPyTorchComputer VisionActivity Recognition
Events & Workshops
Robotics Research Seminar Series
📅 Ongoing - Monthly
📍 University of Hertfordshire & Online
Monthly seminar series featuring cutting-edge research in robotics and autonomous systems
AI for Healthcare Workshop
📅 March 2025
📍 University of Hertfordshire, UK
Workshop on applying artificial intelligence and machine learning techniques to healthcare applications
RoboCup @Home League Participation
📅 June 2025
📍 International Competition Venue (TBA)
Training and competition preparation for RoboCup @Home league teams
ICSR 2026 — Special Session: Assistive Robotics and Exoskeletons
📅 1-4 July 2026
📍 University of London, London, UK
Assistive Robotics and Exoskeletons for Human Augmentation and Wellbeing
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, Co-authors
2024 BioRob 2024
Efficient Skeleton-based Human Activity Recognition in Ambient Assisted Living Scenarios with Multi-view CNN
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian, Co-authors
2024 BioRob 2024
Robotic Vision and Multi-View Synergy: Action and Activity Recognition in Assisted Living Scenarios
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian, Co-authors
2023 Conference/Journal TBD
Lightweight Human Activity Recognition for Ambient Assisted Living
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian
2023 Dataset Release
RHM: Robot House Multi-view Human Activity Recognition Dataset
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian, Co-authors
2023 Dataset Release
RHM-HAR-SK: A multi-view dataset with skeleton data for Ambient Assisted Living Research
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian, Co-authors
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 Workshop/Competition
Human Activity Recognition at Home: Benchmarks and Competition
Mohamad Reza Shahabian Alashti, Farshid Amirabdollahian, Co-authors
2021 Conference/Journal TBD
Affordable Robot Mapping using Omnidirectional Vision
Mohamad Reza Shahabian Alashti, Co-authors
2018 Conference/Journal
Automatic ROI Detection in Lumbar Spine MRI
Mohamad Reza Shahabian Alashti, Co-authors
2017 Conference/Technical Report
FARAT1: An Upper Body Exoskeleton Robot
Mohamad Reza Shahabian Alashti, SYNTECH Team
2017 Conference/Technical Report
Mechanical Basic and Detailed Design for the Redundant Arm SAAM applied on a Domestic Service Robot
Mohamad Reza Shahabian Alashti, SYNTECH Team
Professional Experience
Postdoctoral Research Fellow — Deep Learning & Robotics
University of Hertfordshire, UK
Aug 2024 - Present • Hatfield, UK
PythonPyTorchCUDAROS2HRNetYOLOv7
Visiting Lecturer (Part-Time)
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 (Part-Time)
University of Hertfordshire, UK
Oct 2022 - Feb 2024 • Hatfield, UK
PythonArduinoRaspberry PiModbus RTUMaxonControl Systems
Mechatronics Designer (Part-Time)
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 Postdoctoral 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).