Ph.D. candidate and AI engineer with 5+ years of experience developing deep-learning solutions for surgical video analysis, computer vision, and robotics. CTO of MediversAI and head of ARAS AI, VR & Software Group, I drive multi-disciplinary teams toward innovations that enhance surgical training and patient safety.
Head of ARAS AI, VR & Software Group, advancing surgical education and medical image diagnosis.
CTO at MediversAI, leading AI development and end-to-end software solutions.
AI & Data Engineer with over 5 years deploying deep-learning pipelines in production.
Computer Vision & Data Analysis Expert with an extensive research track record.
Led technical client engagements, presenting AI products and exploratory data analysis results.
Mentor to AI developers for 4+ years, teaching Python, ML, DL, CV, and AI in Robotics.
Ph.D. in Electrical & Control Engineering β
K.βN.βToosi University of Technology
Thesis:
Design & Implementation of an AI-Powered System for Phase Recognition and Skill Assessment in Cataract Surgery Videos.
Supervisor: Prof. Hamid D. Taghirad
Year: 2022 β PresentβGPA: 4 / 4 (20 / 20)
M.Sc. in Electrical & Control Engineering β
K.βN.βToosi University of Technology
Thesis:
Development of eye-surgery skill assessment techniques focused on video feedback.
Supervisor: Prof. Hamid D. Taghirad
Year: 2019 β 2022βGPA: 4 / 4
B.Sc. in Electrical & Control Engineering β
Amirkabir University of Technology
Thesis:
Design & implementation of indoor positioning for a four-wheeled robot.
Advisors: Dr. Mohammad A. Khosravi & Dr. Hajar Atrianfar
Year: 2015 β 2019βGPA: 3.7 / 4
Diploma in Mathematics & Physics β
National Organization for Development of Exceptional Talents (Sampad)
Completed rigorous STEM curriculum with advanced research projects.
Year: 2011 β 2015βGitPA: 4 / 4 (20 / 20)
Head of ARAS AI, VR & Software Group. Over 5 years leading R&D, development, and deployment of AI & robotics products.
MediversAI
2023 β Present
Chief Technology Officer (CTO), AI Specialist & Software Dev. Manager. Leading full-stack engineering and AI innovation for advanced surgical video analytics.
Technical Lead in AI, CV & Software Dev. Architected deep-learning pipelines for dental X-ray analysis and managed cross-functional teams.
IT Committee Chair, Publications & Student Committee Member. Driving conference organization, technical publications, and student engagement in robotics & AI.
Image Captioning, Estimating Cryptocurrency Prices, Extractive Question Answering System, Intent Classification, Object Detection and Counting, Medical Imaging, Analysis of Satellite Images.
| Year | Title | Venue / DOI |
|---|---|---|
| 2025 | Evaluating Force & Motion in Posterior Vitreous Detachment Maneuvers Using a Robotic Data Acquisition System in Cadaveric Human Eyes | SSRN 5209513 |
| 2024 | Development and Integration of an Advanced GUI with Real-Time Data Logging for RCM-Based Robotic Surgery Devices | 2024 12th RSI ICRoM, IEEE |
| 2024 | AI-Powered Framework for Cataract Surgery Video Optimization | 2024 12th RSI ICRoM, IEEE |
| 2024 | AugmenTory: A Fast and Flexible Polygon Augmentation Library | arXiv:2405.04442 |
| 2023 | Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier | arXiv:2312.10208 |
| 2023 | Advanced Deep Learning-Based Approach for Tooth Detection, and Dental Cavity and Restoration Segmentation in X-Ray Images | 2023 11th RSI ICRoM |
| 2023 | AI-driven keratoconus detection: Integrating Medical Insights for Enhanced Diagnosis | 2023 11th RSI ICRoM |
| 2023 | A Deep Dive Into Capsulorhexis Segmentation: From Dataset Creation to SAM Fine-tuning | 2023 11th RSI ICRoM |
| 2023 | Toward Keratoconus Diagnosis: Dataset Creation and AI Network Examination | 2023 11th RSI ICRoM |
| 2023 | Image Processing and Machine Vision in Surgery and Its Training | Journal of Control 17(2), 25-46 |
| 2022 | Surgical instrument tracking for capsulorhexis eye surgery based on siamese networks | 2022 10th RSI ICRoM |
| 2022 | An Observer-Based Responsive Variable Impedance Control for Dual-User Haptic Training System | 2022 10th RSI ICRoM |
| 2021 | ARAS-Farabi Experimental Framework for Skill Assessment in Capsulorhexis Surgery | 2021 9th RSI ICRoM |
| 2021 | Adaptive Robust Impedance Control of Haptic Systems for Skill Transfer | 2021 9th RSI ICRoM |
| 2019 | Resilient Consensus in Double-Integrator Systems with Switching Networks Facing Smart Attacks | 2019 7th ICRoM |
Mohammad Javad Ahmadi was born in 1996 in Sari near the Caspian Sea, Iran. He graduated from NODET in 2015 with a 4/4 diploma, earned his B.Sc. from Amirkabir University in 2019 (GPA 3.7/4), and completed his M.Sc. at KNTU in 2022 (GPA 4/4). Heβs currently a Ph.D. candidate under Prof. Hamid D. Taghirad (GPA 4/4), CTO at MediversAI & SmarTeeth, and leads the ARAS AI, VR & Software Group. His main research interests include Robotics, Artificial Intelligence, and Computer Vision.