• Email: [email protected]
• GitHub: DZhura
• LinkedIn: dmitriy-viktorovich-zhuravlev

Experienced engineer with an ability to combine research, development, and even team management with visible results in the form of articles, open-source contributions, and awards. Searching for a challenging job at the intersection of research, embedded, and computer vision, where my skills will be in demand.

• Participation in the research and development of deep learning model for real-time 2D and 3D bounding box prediction in a parking area.
• Tools: Python, YOLO, DeepSort, CV, NumPy

• Implementation protocols for management processor of server NIC. Development and support of management-related protocols (PLDM, NC-SI, MCTP) over RMII, SMBUS, and PCI.
• Management and assisting a team.
• Tools: C, C++, Network Protocols

• Design and implementation of security protocols for IoT. X.509 certificates support for constrained devices.
• Maintaining security module of the IoTivity project.
• Collaboration with Open Connectivity Foundation (OCF) and stakeholders (Samsung, Intel, Microsoft).
• Tools: C, C++, TLS, CoAP

• Research of novel approaches for private data computations and searching. Collaboration with universities.
• Design a method to compute a secret program on an untrusted resource using fully homomorphic encrypted circuits.
• Acceleration of the oblivious memory access on GPU.
• Tools: Secure Computations, Private Information Retrieval

• Languages: C, C++, Python
• Tools: OpenCV, NumPy, mbedTLS, tinyDTLS
• Other: Math, Embedded development, Network protocols, Applied cryptography, Computer vision

• 3DBEV: Lifting YOLO based 2D object detection to 3D via bottom projection estimation.
• OpticalFlow3D: 3D object detection and classification based on Dense Optical Flow clusterization.
• IoTivity: Standardized secure IP device framework for Internet of things (IoT).

• Institute of Mathematics

  • PhD, Department of Algebra and Topology
  • Projective resolution of irreducible modules.

• KNU T. Shevchenko

  • MS, Faculty of Mechanics and Mathematics
  • Exponent matrices and their quivers.

• Best ORC Project Award: Exemplifying a model of excellence to other Overseas R&D Centers. Seoul, S.Korea, 2016

• Moving Object 3D Detection and Segmentation Using Optical Flow Clustering. Springer, CSOC 2023. Lecture Notes in Networks and Systems, 2023
• Lifting 2D Object Detection to 3D: Geometric Approach in Bird-Eye-View. Springer, CSOC 2022: Artificial Intelligence Trends in Systems, Czech Republic, 2022
• Towards practical private information retrieval from homomorphic encryption. Algebra and Discrete Mathematics, Ukraine, 2015
• Encrypted Program Execution. IEEE Xplore Digital Library. 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, China, 2014