Khaled Younis Email & Phone Number

Leading groundbreaking initiatives in medical AI, I have pioneered the development and deployment of AI models that have significantly improved diagnostic accuracy, patient care, and business growth in the healthcare sector. My contributions to customers success by developing cutting-edge AI solutions or domain and practice expertise have driven significant business growth while strict adherence to global regulatory standards.• Developed advanced AI models for medical imaging that enhanced diagnostic precision and led to substantial growth. Key contributions include prostate cancer detection models, which improved accuracy by 20% and transformed clinical workflows and treatment plans.• Pioneered self-supervised and semi-supervised learning approaches, driving major advancements in image analysis, segmentation, and classification tasks for medical imaging. • Contributed as a member of ISO/IEC JTC 1/SC 42 (Information Technology - AI) to the global standardization of AI across industries like healthcare, finance, and manufacturing in 47 countries. • My role as an Editor for two foundational standards focuses on AI terminology and ethical AI deployment, helping establish frameworks for AI adoption globally.• Contributed to ISO/TC 215, where I worked on AI-enabled Health Informatics, shaping standards that ensure safe and effective use of AI in healthcare. • helped HL7 publish the first comprehensive, standards-based guidance on the AI/ML Data Lifecycle, offering key stakeholders a framework for building Trustworthy AI in clinical settings. • Led a transformative project on Federated Learning, enhancing tumor segmentation using AI-assisted annotation.• Provided strategic consulting for companies, aiding in new product lifecycle development, consumer needs assessment, business scaling strategy, along with commercial & technical feasibility review to help businesses define value proposition, develop AI roadmap, and foster partnerships that drive innovation.

Geneva, Ch

• Actively contributed as a Member of Consulting Staff, helping to develop and standardize AI technologies in health informatics, focusing on Generative AI, deep learning, computer vision, and Large Vision Models (LVMs) for healthcare and medical applications.• Supported the creation of frameworks for AI-enabled healthcare product development, ensuring the seamless integration of advanced AI/ML models into healthcare IT systems and medical devices.• Played a key role in enabling global AI standards adoption in 47 countries, focusing on data governance, privacy, security, and addressing bias in AI for clinical applications.• Provided guidance on regulatory compliance, including FDA standards and HIPAA, ensuring the safe and effective implementation of AI technologies across clinical workflows and healthcare product development.• Engaged with cross-functional teams, including clinicians and healthcare developers, to create AI-driven innovations in healthcare, improving both clinical outcomes and regulatory alignment.

Geneva, Ch

• As a Technical Team Member, I focused on AI technologies in health informatics, contributing to the development of Large Language Models (LLMs) and NLP to improve communication and decision-making in clinical environments.• Engaged with multinational teams and clinicians to design AI technologies that align with clinical use cases and improve patient care, bridging the gap between AI solutions and end-users.• Supported the creation of healthcare AI solutions that balance innovation with regulatory needs, including IP protection, data provenance, security, and privacy, ensuring compliance with regulatory requirements such as GDPR and HIPAA.• Led efforts to optimize AI model deployment and validation for healthcare applications that prioritize data ethics, quality, and security, ensuring the quality and reliability of health data for AI systems, with a special • Advised on helping healthcare organizations implement trustworthy AI solutions by focusing on addressing bias, data collection, and provenance, building on my experience in navigating commercial and technical due diligence while focusing on regulatory and IP requirements in healthcare product development.

Leesburg, Virginia, Us

- Advising on strategic initiatives to enhance the global reach and financial sustainability of SIIM Training programs.- Collaborating with top industry experts to design and implement innovative training solutions for the imaging informatics community.- Supporting the growth of SIIM Training by providing actionable insights that have improved program reach by [insert projected percentage or qualitative outcome].- Contributing to the development of specialized training programs to address the growing demands of the global imaging informatics sector, including emerging technologies in AI and machine learning.

Leesburg, Virginia, Us

• Lead the committee in helping achieve the strategic goal of advancing translational/reproducible research and fostering standards in imaging informatics. • Orchestrate projects among industry and academic leaders such as the federated learning case study to accelerate the adoption of the FL technology into clinical practice while developing models with decentralized data.

Amsterdam, Noord-Holland, Nl

- Directed AI projects that contributed to a $33M business impact over five years, leading to the development of integrated diagnostic solutions in radiology, including FDA-cleared models.- Led the creation of advanced computer vision models for medical imaging, achieving state-of-the-art results in segmentation and classification tasks using PyTorch, significantly enhancing clinical workflows and diagnostic accuracy.- Co-authored and presented the IHE AI Interoperability in Imaging White Paper, setting key standards for integrating AI technologies into global healthcare systems and shaping future innovations.- Developed AI-powered tools for image analysis, streamlining radiology workflows, enhancing efficiency, and improving clinical decision-making, leading to better patient outcomes.- Played a pivotal role in advancing FHIRcast standards for multimedia and integrated reporting applications, enabling smoother data exchange and improving interoperability in radiology workflows.- Led the development of multimodal AI solutions providing real-time insights to radiologists, facilitating faster and more accurate diagnoses in complex conditions, including oncology and cardiology.- Published and presented cutting-edge research on AI in imaging, contributing to the global adoption of AI-driven healthcare technologies and establishing thought leadership.

Amsterdam, Noord-Holland, Nl

• Spearheaded an AI Intellectual Property generation projects about AI Manager/Marketplace and Ultrasound Technology in the , resulting in 16 invention disclosures and 5+ patent applications, earning the 2022 Award for innovation and intellectual leadership.• Led the development of the Enterprise Clinical Informatics Innovation Brief, providing strategic recommendations to Philips’ CTO based on technological trends and research findings.• Authored 11+ international conference publications and spoke in 6+ presentations demonstrating thought leadership and collecting important feedback from industry leaders.• Initiated and led an onboarding team of 40+ that expanded to cover the entire Philips Research NA hub (180+ employees) following best practices to improve effectiveness, a faster involvement of new hires and resulting in a satisfaction rate of 100% for new hires.• Secured speakers and moderated discussions for part of 24 seminars in PD&IGT.• Led an AI technical interview committee to assess candidate’s skillset and their experience, which yielded better-aligned candidates and more productive employees with 0% turnover.• Developed AI-driven Multimodal models that improved diagnostic workflows, leading to faster detection of life-threatening conditions such as cancer, significantly impacting patient care and health outcomes.• Collaborated with multinational teams to integrate AI technologies into clinical practice, enhancing radiology systems across global regions and driving significant innovation in patient care and operational workflows.

Chicago, Us

• Championed the development of cutting-edge AI models deployed on medical devices, leading to FDA clearance and driving $1.3M+ in annual revenue, significantly improving diagnostic accuracy and patient outcomes.• Led advanced AI projects leveraging language models and transformers (BERT) to enhance competitive analysis of GE products and services, delivering deeper insights from industry literature and • Orchestrated the integration of advanced computer vision models using GAN into medical imaging workflows, resulting in enhanced diagnostic precision and streamlined clinical operations.• Drove research and development of AI models, resulting in 5 granted patents and 10+ patent applications in medical imaging technology, contributing to substantial business growth• Engineered an automated image annotation platform, compressing project timelines from 31 months to just 1 month, cutting resource expenditure by $240K and improving system efficiency.• Led AI initiatives focused on real-time inferencing, increasing diagnostic accuracy from 94% to 99% while improving operational speed by 4x.• Collaborated with international AI teams, achieving breakthrough performance and model optimization using 70x less memory, 300x fewer operations, and a 5x smaller dataset.driving informed strategic decision-making.• Pioneered innovations in medical imaging through deep learning, translating research prototypes into scalable, production-grade AI models.• Developed AI solutions that incorporated feedback from global deployments, ensuring continuous improvement and robust performance in diverse clinical environments.• Contributed to regulatory compliance efforts, collaborating with legal and marketing to secure FDA approvals for AI-powered products, and creating strategies to position products for success in competitive markets.• Led and mentored global, cross-functional teams fostering collaboration and innovation across regions, and ensuring timely delivery of AI solutions.•

Jo

• Directed pioneering AI research for healthcare applications, securing $2.3M in funding for AI-based medical imaging projects.• Established New programs and teaching methodologies for AI program in Education utilizing EU grants and international collaboration benefiting 500+ students per year.• Developed and fine-tuned machine learning models, optimizing healthcare workflows and improving diagnostic accuracy.• Published influential research on medical imaging AI, contributing to advancements in deep learning algorithms and healthcare informatics.• Mentored research teams and led academic collaborations with healthcare providers, applying AI solutions to real-world medical challenges.• Collaborated with industry partners to integrate AI models into clinical workflows, enhancing patient care and operational efficiency.• Guided the translation of research prototypes into practical applications, helping to advance the adoption of AI tools in healthcare.• Led a team of 20+ diverse researchers at the Machine Learning Lab and won the Research Excellence Badge.• Developed deep learning approaches to different recognition solutions earning $10K Microsoft award.• Led AI-based Design research, resulting in four top-tier journal publications with over 400 citations, elevating the lab's standing and fostering academic collaboration• Secured Five EU Erasmus+ grants for teaching AI at prestigious universities in Germany and Turkey, enhancing global academic reputation and fostering international research collaborations.• Secured significant research grants to advance AI technology in healthcare and pharmaceutical fields. TensorFlow | NLP | Computer Vision | QSAR | SAS | R | Python | Language Models | Recurrent Neural Networks (RNN) | Bayesian Networks | Bayesian Optimization | CI/CD Pipelines | Clinical Integration | Data Architecture | Data Pipelines | Data Security | DevOps | Docker | ETL (Extract, Transform, Load) Processes | Explainable AI (XAI) | FastAPI

Chicago, Il, Us

Enriched intellectual initiatives and scientific/cultural relations at the host university. Delivered workshops/seminars to 50+ attendees. Evaluated postgraduate research students. Coordinated collaborative research and co-authored three papers.

Durham, North Carolina, Us

• Developed and executed consultative sales strategies and creative selling approaches, resulting in business growth from one to 30+ accounts worth $1.3M in annual revenue.• Led market entry and expansion strategies for AI-driven imaging solutions in the MENA region, achieving a 35% increase in product adoption and market share.• Provided strategic guidance to the CEO on New Product Development and user needs analysis, helping the business define key differentiators and improving market positioning.• Cultivated partnerships with strategic stakeholders, saving $550K+ in booth fees through innovative marketing and cost-effective solutions.• Recruited, trained, and managed a globally distributed team of engineers and clinical application specialists, ensuring effective product deployment and customer satisfaction.• Assessed market opportunities, customer segmentation, and pricing strategies, optimizing P&L budget statements and driving business growth.• Fostered partnerships and led commercial and technical due diligence efforts, ensuring seamless product integration and regulatory compliance across international markets.• Formulated and implemented a strategy for solving problems related to the local presence and regulatory issues that saved the company $1M+.• Guided clients through AI strategy development, tailoring solutions to regional healthcare needs and leading regional training for successful product adoption.• Managed client relationships, tailoring AI solutions to regional healthcare needs and ensuring seamless product integration.• Reduced operational costs by $550K+, leveraging AI-enhanced marketing and sales strategies to optimize resources and improve business outcomes.• Delivered AI-based solutions to clinical settings, providing technical support and conducting training, leading to enhanced customer experience and adoption.

Jo

Oversaw research/development and computing strategy of 161+ postgraduate programs serving 4000+ students. Slashed cost/time and lifted performance through SWOT analysis and launched the first international theses research conference

Yardley, Pa, Us

Reengineered Quality Control and Predictive Maintenance: Redesigned the quality controlprocess and introduced an IoT-based predictive maintenance system with a temperature sensorto monitor lubrication levels in the copper machine on one of the primary assembly lines. Withinthree months, this solution reduced unexpected machine downtime by 80%, preventing futurerevenue losses and improving overall production efficiencyAward-Winning Project: Received the Ministry of Higher Education and Scientific Research Award,ranking as the top project among 94 faculty submissions, for implementing innovative IoTtechnology to enhance industrial operations and preventive maintenance.

Nashua, New Hampshire, Us

• Founding team member for QCI, Inc. that merged with Howtek in 2003 forming iCAD• Pioneered iCAD projects in medical imaging and healthcare; Computer-Based drug design, bioinformatics, intelligent patient monitoring, skin, lung, and colon cancer computer-aided diagnosis.• Devised novel algorithms for VeraLook® and FDA-approved SecondLook® computer-aided detection of cancer placed in 4000+ installations worldwide

Doctor Of Philosophy (Ph.D.), Computer Engineering (Machine Learning)

Master'S Degree, Ms, Electrical And Computer Engineering

Bachelor'S Degree, Electrical Engineering, Communications