Portland, Oregon Metropolitan Area
Eda Okur (Kavil) Affiliation: AI Research Scientist, Intel Corporation, USA Group: Intel Labs (IL) | Intelligent Systems Research (ISR) Lab | Multimodal Dialogue & Interaction (MDI) Team Areas of Research: Natural Language Processing (NLP), Spoken Dialogue Systems (SDS), Multimodal AI, AI Safety Work Experience: 14+ years of applied research in the industry (11+ years at Intel Labs, previously worked at Siemens and Techneon) Profile/Publications: - Google Scholar: scholar.google.com/citations?user=kXL_QLgAAAAJ
Intel Labs, USA Staff Research Scientist - Machine Learning @ Multimodal Dialogue & Interaction Team Roles: - Conducting research experiments and implementing algorithms in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Spoken Dialogue Systems. - State-of-the-art analysis of literature and practice on sense-making research, conceptualization, and research design. - Extraction and fusion of data from various modalities such as visual, acoustic/audio, language/text, contextual logs, bio-sensors, etc. - Data collection, annotation, analysis, support of pilots, and field tests. - Work closely with Intel Labs User Experience, Affective Computing, Audio Understanding, and Visual Computing research teams. - Demonstrate contributions to scientific literature and presentations at international conferences. - Participation in successful patent applications and intellectual property.
Intel Labs, USA Senior Research Scientist - Machine Learning @ Multimodal Dialogue & Interaction Team Roles: - Conducting research experiments and implementing algorithms in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Spoken Dialogue Systems. - State-of-the-art analysis of literature and practice on sense-making research, conceptualization, and research design. - Extraction and fusion of data from various modalities such as visual, acoustic/audio, language/text, contextual logs, bio-sensors, etc. - Data collection, annotation, analysis, support of pilots, and field tests. - Work closely with Intel Labs User Experience, Affective Computing, Audio Understanding, and Visual Computing research teams. - Demonstrate contributions to scientific literature and presentations at international conferences. - Participation in successful patent applications and intellectual property.
Intel Labs, USA Research Scientist - Machine Learning @ Multimodal Dialogue & Interaction Team (2017-2018), Personalized Learning Team (2016-2017) Roles: - Conducting research experiments and implementing algorithms in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, and Spoken Dialogue Systems. - State-of-the-art analysis of literature and practice on sense-making research, conceptualization, and research design. - Extraction and fusion of data from various modalities such as visual, acoustic/audio, language/text, contextual logs, bio-sensors, etc. - Data collection, annotation, analysis, support of pilots, and field tests. - Work closely with Intel Labs User Experience, Affective Computing, Audio Understanding, and Visual Computing research teams. - Demonstrate contributions to scientific literature and presentations at international conferences. - Participation in successful patent applications and intellectual property.
R&D Engineering at Siemens, Corporate Technology, Research & Development Center Literature analysis, conceptualization, requirements engineering, software design, and development of STS project (Simulation Tool for Siemens Sirius Soft Starters) carried out in collaboration with Siemens AG, Germany. Responsible for the simulation engine developed for the STS project. Performed design, development, and unit testing of software modules and subsystems.
R&D Engineering at Siemens, Corporate Technology, Research & Development Center Literature analysis, conceptualization, requirements engineering, software design, and development of STS project (Simulation Tool for Siemens Sirius Soft Starters) carried out in collaboration with Siemens AG, Germany. Responsible for the simulation engine developed for the STS project. Performed design, development, and unit testing of software modules and subsystems.
Research design and product development of a medical device, P3841-E Infusion Pump, as a TUBITAK funded research project. Performed Embedded Software Development using C to implement the building blocks of a healthcare product. Focused on data analysis, storage, and communication between multiple infusion pumps. Implemented simulation and monitoring tools using C# for Hospital Information Systems (HIS). Participated in patent applications and intellectual property.
Teaching Assistant for the following courses at the Computer Engineering Department: - Fundamentals of Software Engineering (CMPE 352) - Analysis of Algorithms (CMPE 300) Responsible for the quizzes and projects of the junior/3rd year Computer Engineering undergrads. Prepared problem-solving sessions and gave lectures to guide the students.
TUBITAK, UEKAE, Pardus Research Lab Research Internship at Pardus Linux Distribution Project - Operating System developed by TUBITAK (Scientific and Technological Research Council of Turkey). Worked on Pardus integrations of specialized applications for visually impaired users. Prepared PiSi packages using Python for various TTS (text-to-speech) applications on the Linux environment. Blog: pardusta.blogspot.com