Resul Dagdanov

Experience

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  İTÜ APİS ARGE TAKIMI

  Feb 2018 - Jul 2020

  - Collaborated with a team of fellow participants to design and develop a Can-sized satellite (Cansat) as per the competition guidelines.- Designed the system architecture, including payload selection, communication modules, and power management.- Developed and implemented software algorithms for data acquisition, processing, and telemetry.- Conducted thorough testing and troubleshooting to ensure the functionality and reliability of the Cansat.- Presented the project and its findings to a panel of judges, demonstrating technical competence and effective teamwork. Show less - Led a team of electronics engineers in the Apis Arge Team, overseeing the development of electronic systems for projects.- Participated in the prestigious National Micro Model Satellite Competition held in Türkiye.- Achieved the remarkable accomplishment of securing 2nd place in the competition, highlighting the team's capabilities and dedication.- Developed design printed circuit board (PCB) layouts, considering factors like component placement, signal integrity, and manufacturing requirements.- Created software algorithms for various applications, such as data acquisition, signal processing, and control systems. Show less - Participated in the highly competitive Cansat Competition held in Texas, USA.- Demonstrated exceptional technical skills, teamwork, and problem-solving abilities, resulting in securing 1st place in the competition.- Actively contributed as a member of the electronics and software team in the Apis Arge Team.- Worked in sync with the team to ensure the integration of electronics and software components in the overall system.- Implemented functionalities such as telemetry, command execution, and data handling to ensure successful mission operations.- Designed interfaces for the Ground Control Station (GCS), enabling seamless communication and control of the microsatellite. Show less

  • Leader of Software & Electronics Crew

    Oct 2019 - Jul 2020

  • Electronics Crew Leader

    Jun 2019 - Sept 2019

  • Software Engineer

    Feb 2018 - Jun 2019
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  İnovaTİM

  Feb 2019 - Apr 2020

  Instructor

  - Served as a mentor for AI and innovation projects conducted by InovaTIM in high schools across Türkiye.- Provided guidance and support to students, fostering their understanding of AI concepts and encouraging innovative thinking.- Facilitated brainstorming sessions, workshops, and presentations to enhance students' knowledge and skills in AI and innovation.- Developed comprehensive educational materials on computer vision and artificial intelligence topics.- Created lesson plans, presentations, and hands-on exercises to facilitate learning and practical application.- Successfully engaged and impacted a wide range of 10,000 high school students throughout Türkiye.- Inspired and motivated students to explore the field of AI, promoting its potential and encouraging future innovation. Show less

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  ITU Artificial Intelligence and Data Science Application and Research Center

  Jun 2019 - Jul 2023

  - Undergraduate researcher on deep learning and deep reinforcement learning for autonomous systems.- Worked under the supervision of Professor Nazim Kemal Ure.- Explored and applied deep learning and deep reinforcement learning techniques to enhance autonomous systems.- Implemented various algorithms, including Deep Q-Learning, Advantage Actor-Critic, Deep Deterministic Policy Gradient, Soft Actor-Critic, Proximal Policy Optimization, and more.- Developed and implemented structured curriculum learning strategies specifically designed for multi-agent systems. Show less

  • Graduate Researcher

    Jul 2021 - Jul 2023

  • Undergraduate Student Researcher

    Jun 2019 - Jul 2021
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  Co-one

  Nov 2019 - Aug 2021

  Software Developer

  - Designed and implemented intelligent algorithms to optimize the distribution process in software systems, improving efficiency and reducing costs.- Worked on backend service development, leveraging various Google API services to enhance functionality and improve user experience.- Developed robust and scalable backend solutions to handle high volumes of data and user requests.- Utilized techniques such as statistical analysis, pattern recognition, and machine learning to enhance the accuracy and reliability of the calculated results.- Developed and implemented crowd-based methods for bounding box generation and object classification tasks.- Contributed to the development of Co-One Startup Company, an AI-based data labeling platform that utilizes gamification and crowdsourcing techniques. Show less

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  Baykar Technologies

  Jul 2020 - Sept 2021

  - Developed and implemented intelligent algorithms for path planning in Unmanned Aerial Vehicles (UAVs) to optimize their trajectories and improve efficiency.- Utilized techniques such as graph-based algorithms and heuristic-based approaches to find optimal paths.- Considered factors like obstacle avoidance, mission objectives, and real-time data to make informed decisions during path planning.- Developed decision-making frameworks and strategies to handle emergency situations efficiently and effectively.- Created models that considered various parameters such as risk assessment, resource allocation, and time constraints to prioritize actions during emergencies.- Collaborated with cross-functional teams of model-based control and stakeholders to ensure seamless coordination and timely decision-making. Show less - Designed and implemented algorithms to generate optimal flight paths for Unmanned Aerial Vehicles (UAVs) in dynamic environments.- Leveraged principles of artificial intelligence and optimization techniques to efficiently compute trajectories considering factors such as obstacle avoidance, energy efficiency, and mission objectives.- Collaborated with a team of researchers and engineers to validate and integrate the trajectory generation algorithms into UAV control systems.- Conducted extensive simulations and real-world tests to evaluate the performance and robustness of the algorithms. Show less

  • Software Engineer

    Oct 2020 - Sept 2021

  • Software Engineer Intern

    Jul 2020 - Sept 2020
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  Eatron Technologies

  Sept 2021 - Jul 2023

  Machine Learning Engineer

  - Successfully published a conference paper titled "Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms" at IEEE ICRA 2023 in London, UK.- Published a research paper titled "DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving" at IEEE ITSC 2022 in Macau, China.- Led the research and implementation of real-time driver personalization, classification, driving style analysis, and lane change prediction systems.- Played a key role in the development and verification of black-box algorithms, ensuring the safety and reliability of Advanced Driver Assistance Systems (ADAS).- Specialized in battery thermal runaway, anomaly detection, and degradation prognosis for BMS in electric vehicles.- Developed advanced AI-based techniques for accurate calculation and prediction of electric vehicle battery state-of-health, state-of-charge, and remaining-useful-life.- Actively participated in the Carla Challenge 2021, making valuable contributions, and submitting innovative solutions.- Utilized and harnessed the power of CommaAI/Openpilot for efficient development and deployment in autonomous driving systems.- Developed an inverse projection transformation technique to accurately map vehicle camera frames into real-world coordinates. Show less

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  University of Technology Sydney

  Aug 2023 - now

  - Student tutoring mentor for UTS Mechanical Design Fundamentals Studio 1 subject in autumn semester 2024.

  • PHD Candidate

    Aug 2024 - now

  • Casual Academic

    Feb 2024 - now

  • PhD Researcher

    Aug 2023 - now