Paria Yousefi Email & Phone Number

London Area, United Kingdom

- Developed an innovative model for segmenting and analysing abdominal (pancreas) irregularities, significantly enhancing early pancreas cancer detection and contributing to Huma's collaboration with Bayer.- Designed an automated preprocessing and standardisation algorithm for real-world data, making it accessible for the AI team and the client, ensuring future usability.- Led the creation of a cutting-edge model to calculate joint range of motion for post-surgery exercises, seamlessly integrated into an AI-assisted app that empowers remote patient rehabilitation.- Spearheaded the development and integration of diagnostic algorithms and the technical pipeline design for a groundbreaking mobile application to accurately quantify the severity of ocular Myasthenia Gravis. This innovative approach not only enhances precise disease assessment but also significantly improves disease management.In all my projects, I prioritise delivering impactful solutions that enhance patient outcomes and contribute to advancements in medical imaging, AI-assisted diagnostics, and disease management. My work has consistently driven innovation and exemplified my ability to lead and execute high-value projects in the healthcare industry.

Oxford, England, United Kingdom

- During the COVID-19 pandemic, I contributed to developing and evaluating an automated model for interpreting lateral flow test results, significantly improving the efficiency and accuracy of COVID-19 diagnostics. This innovation enabled large-scale SARS-CoV-2 testing, was adopted by the NHS, and refined for Excalibur. - I collaborated on a predictive model to forecast patient outcomes, identifying ICU needs and assessing high-risk fatalities.I conduct research to create bespoke solutions, leveraging biological and health data to address challenges in the pharmaceutical and medical industries. My work significantly aids in diagnosing various diseases and supports clinicians in managing healthcare demands. With a proven track record in designing and developing algorithms and models for medical image segmentation and diagnosis, my expertise includes data pre-processing, algorithm design and implementation, documentation, and presentation.

Oxford, United Kingdom

- Developed, designed, and evaluated an automated model for quantifying emphysema and fibrosis in idiopathic interstitial pneumonia (IIP), resulting in a successful collaboration with Sensyne Health (Arcturis) and Bayer, and earning a "cum laude" scientific exhibition award.

Bangor, Uk

- Developed a discrimination capacity measure and formal protocols for the automatic evaluation of video summaries, addressing critical gaps and setting new standards in the field.- Created a novel benchmarking method that outperforms traditional benchmarks, establishing a new benchmark for performance evaluation.- Engineered a prototype selection algorithm for video summarisation, significantly improving keyframe selection accuracy and achieving superior alignment with user ground truth on egocentric video databases.- Designed a semantic retrieval model for query-based egocentric summarisation, enhancing memory reinforcement and enabling extraction of multiple summaries based on user queries. This model has been validated on diverse video datasets.- Developed a real-time online summarisation algorithm, dynamically generating keyframe summaries during video capture and surpassing competitors in performance.- Presented live demos of cutting-edge capabilities to prospective students and industry professionals, using interactive examples to highlight significant opportunities and innovations.During my PhD research, I specialized in machine learning and computer vision, focusing on data captured by egocentric cameras. My work involved developing innovative algorithms to solve complex challenges in data stream organisation and video retrieval.

Kuala Lumpur, Malaysia

- Developed an innovative river extraction method from satellite images using mathematical morphology, Bayesian classification, and dynamic alteration filters. This method, tested in Kuala Terengganu, Malaysia, demonstrated improved accuracy compared to existing approaches.- Created a novel technique integrating linear Kernel PCA with k-Means clustering to enhance water-body segmentation in satellite images, achieving superior accuracy over conventional methods.- Published research findings in journal papers, highlighting significant advancements in geology and sedimentology through advanced image processing and analytical methodologies.

Shahrood, Iran

- Led the repair and maintenance of telecommunications infrastructure, including racks, switches, electronic boards, operator consoles, and related software. Successfully revitalised Ericsson boards across all call centres, overcoming domestic repair challenges to enhance system reliability, earning recognition from the company.- Supervised and supported technical repair and maintenance teams for carrier and fibre optic cable systems, ensuring optimal network performance and consistent reliability.

Shahrood, Iran

- Led the design and supervision of electrical winding operations for DC motors, successfully delivering a major contract in the railway industry.- Directed an R&D team in developing advanced technologies for motor and generator winding and design, driving innovation and engineering excellence.

Doctor Of Philosophy - Phd, Computer Science

Activities and Societies: Student representative for PhD students (2017-2018); Creating and running demos to promote both the University.

Master'S Degree, Biomedical/Medical Engineering, Master Degree

- Master degree in Biomedical Engineering (Course and Research) - Final year research project on medical image processing: For the final.

Bachelor'S Degree, Electrical And Electronics Engineering

Activities and Societies: * Robotic competition * Machine learning* Bachelor project on iris detection and segmentation.