About

I specialize in crafting practical and effective deep models tailored for real-world usability, with a primary focus on solving intricate challenges related to motion problems

Deep/Machine Learning Expertise:

• Proven track record in developing real-time deep learning models for tasks such as sensor data fusion and motion/trajectory analysis using various sensors.

• Emphasis on creating solutions with real-time functionality, low memory footprint on edge devices, and adherence to power requirements.

• Applied experience in different domains such as AR/VR/XR, self-driving vehicles and robotics. 

• Understanding of edge devices, embedded systems and HW/SW integration. 

• Heavy expertise in developing 0->1 POC (Proof of concept).

Spatio-temporal and Motion Analysis:

• Specialization in real-time deep models for multiple-agent motion, action, and trajectory forecasting/understanding, considering uncertainty in predictions.

• Research focuses on devising novel metrics for evaluating the performance of such models.

• Understanding of control theory and motion dynamics. 

Outdoor and Indoor Localization:

• Industrial experience in non-visual localization employing classical and data-driven approaches.

• Pioneered the development of multi-level data fusion systems, ensuring robust localization solutions.

Sensor Expertise:

• Proficient with IMUs, magnetometers, and ultrasonic technologies for developing heading and tracking systems.

• Integrative approach using both physics and data-driven solutions.

• Familiarity with GNSS and similar positioning systems.

Scholarly Achievements:

• Author of 600+ citations, with publications in renowned venues such as CVPR, ECCV, and AC.

• Active involvement as a reviewer for top-tier conferences.

• Co-supervision of Ph.D. students engaged in multidisciplinary research.

People: 

• Ability to tech lead multiple projects across multiple orgs and different teams functionalities. 

• Technical alignment between HW/SW teams to reach consistent project executions.

Programming Proficiency:

• Skilled in Python, deep learning libraries, C++, Matlab, and software engineering.