Reza Shahabian

AI Engineer · Agentic AI, LLMs & Multimodal ML · PhD

I build agentic, multimodal AI systems end-to-end — from data and models through evaluation to real-time deployment. PhD in Computer Science with 20+ publications (67 citations, h-index 5) and a track record of shipping production hardware–software systems across 60+ data centres and leading cross-functional teams. Currently a Research Fellow at the University of Hertfordshire, working on agentic AI (tool-using LLM workflows, MCP), vision–language models, and multimodal sensor fusion for healthcare and assistive robotics. UK-based — no visa sponsorship required (Global Talent).

Publishing as Mohamad Reza Shahabian Alashti.

View Projects Publications GitHub

Projects & Research

eSAM — Exposure Sensing Animated Mannequin

Sep 2022 - Feb 2024

Human-sized robotic mannequin for chemical exposure testing with distributed sensors

RoboticsEmbedded SystemsSensor NetworksControl Systems

EEG & Facial Emotion Data Collection Platform

Feb-Oct 2025

Web-based platform for synchronized multimodal emotion data collection with EEG and facial recognition

EEGEmotion RecognitionVision TransformerWeb Platform

Data Study Group (DSG) — Advanced Manufacturing

Dec 2022

Collaborative data science research sprint addressing industrial manufacturing challenges

Data ScienceMachine LearningData AugmentationSynthetic Data

Hospital@Home / PRIME Study

2024-Present

AI-driven virtual ward system for ambient assistive care with multimodal patient monitoring

Healthcare AIMulti-View HARHRISensor Fusion

SWAG — Soft Wearable Assistive Garment

2024-Present

AI-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-Present

Comprehensive multi-view HAR research with benchmark datasets and advanced AI architectures

Human Activity RecognitionMulti-View VisionTransformerAgentic AI

Events & Workshops

ICSR 2026 — Special Session: Assistive Robotics and Exoskeletons for Human Augmentation and Wellbeing

📅 1-4 July 2026

📍 University of London, London, UK

Building interdisciplinary bridges through assistive technologies, social robots, and creative therapies


Publications

20+ publications · 67 citations · h-index 5 · i10-index 2 — Google Scholar

2026 ICRA 2026

A Modular, Wireless and Wearable Biosignal Acquisition Platform

Mohamad Reza Shahabian Alashti, Co-authors TBD

2026 ICSR 2026

EMG-Based Lower Limb Activity Recognition for Exoskeleton-Assisted and Unassisted Locomotion Using Deep Learning

Shadiya Alingal Meethal, Mohamad Reza Shahabian Alashti, M. Mosso, et al.

2026 Preprint (2026)

HAR-Agent: Multilingual Multimodal Activity Recognition via Knowledge-Distilled LLM Reasoning

Khashayar Ghamati, Mohamad Reza Shahabian Alashti, A. Fallahirahmatabadi, et al.

2026 ICSR 2026

Pexformer: Robust Indoor Human Localisation via Patch-level Tokenisation and Semi-Permeable Attention

B. Zhang, S. Rafique, Mohamad Reza Shahabian Alashti, et al.

2026 ICSR 2026

From Pilot Data to Protocol: Sample-Size Guidance for Multimodal Intent Detection in Assistive Wearable Robotics

Mohamad Reza Shahabian Alashti, Shadiya Alingal Meethal, Patrick Holthaus, et al.

2026 ICSR 2026

Vision–Language Models for Fall Detection in Socially Assistive Robotics: Zero-Shot Prompting and Few-Shot Calibration

Mohamad Reza Shahabian Alashti, Khashayar Ghamati, Abolfazl Zaraki, et al.

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 Reza Shahabian

I'm an AI engineer who builds agentic, multimodal AI systems end-to-end — from sensor data and models through systematic evaluation to real-time and edge deployment. I work across agentic AI (tool-using LLM workflows and the Model Context Protocol), vision–language models, computer vision, and multimodal sensor fusion.

What's unusual about my background is that it's vertically integrated: before research I shipped real products. I led the delivery of integrated hardware–software infrastructure-monitoring systems deployed across 60+ data centres, and led an electronics/robotics group whose teams won the IranOpen @Home league five times and competed at international RoboCup. I don't just train models — I've owned products from concept to deployment and led cross-functional teams.

I hold a PhD in Computer Science and an MSc in Mechatronics Engineering, with 20+ publications (67 citations, h-index 5) across ICRA, ICSR, and BioRob, plus the publicly available RHM-HAR datasets. Current work at the University of Hertfordshire spans the SWAG and Hospital at Home projects: agentic activity recognition, vision–language fall detection, and multimodal intent detection for wearable assistive robotics.

What I'm looking for: applied AI / AI-engineering roles where I can build and ship — agentic AI, LLM products, and multimodal ML — at UK startups, scaleups, or research-driven product teams.

Visa Status: UK Global Talent Visa – Academic Exceptional Promise, endorsed by the Royal Academy of Engineering (no sponsorship required).