Ricardo Crespo,Phd. Email & Phone Number

Chile

Chile

• Leads and directs all strategic initiatives, operations, and business development efforts for NEUREN – a a technological, scientific-based start-up company that uses artificial intelligence to help reduce the risk of.
• Fosters trusted relationships, and builds and manages strategic alliances that drive business growth and success.
• Utilizes extensive industry experience, technical sophistication, and core competencies to ensure excellence in all aspects of project execution.
• Develops and maintains a network of reputable subcontractors, leveraging trusted partnerships to deliver high-quality and cost-effective solutions.
• Creates a collaborative and inspiring work environment, enabling and empowering top industry professionals to excel in their craft.
• Understands the needs and perspectives of each client, utilizes customer-centric insights to exceed expectations and deliver exceptional results.

• Appointed as Associate Professor to teach spatial econometrics, Geodemography and leads various research in applied Geospatial modelling for the Department of Environmental and Geospatial Engineering.
• Conducts analyses of public policy impacts through spatial simulation, encompassing areas such as health, transportation, rural and urban development, tax policies, poverty, and forecasting future water and electricity.
• Leads analysis for housing and land use change modelling including spatial econometrics and geodemography.
• Instructs and teaches mathematical modelling for Urban Planning initiatives.
• Teaches undergraduate courses in geospatial analysis, population geography, spatial econometrics and spatial statistics
• Conducts research in the field of applied geospatial modeling.

• Developed a machine learning algorithm for item classification, significantly improving the efficiency of item categorization and data organization for the mining and forestry industry on the B2B commerce platform.
• Collaborated with cross-functional teams to understand the specific needs and challenges of the mining and forestry industries to tailor the algorithm to meet industry-specific requirements.
• Conducted extensive data preprocessing, including data cleaning and feature engineering, to enhance the quality and relevance of training data.
• Employed various machine learning techniques, such as deep learning, natural language processing (NLP), and image recognition, to accurately classify items based on textual and visual attributes.
• Implemented model monitoring and maintenance protocols to ensure the continued effectiveness of the algorithm and to adapt to changing data patterns.
• Collaborated with software development teams to integrate the machine learning model into the B2B commerce platform seamlessly.

• Conducted advanced urban planning research with a focus on sustainable urban development, transportation systems, and land use management.
• Taught undergraduate and graduate-level courses related to urban planning, geodesy, and cartography, imparting knowledge to a diverse student body.
• Mentored and advised graduate students on their research projects, fostering a supportive and collaborative academic environment.
• Published research papers in prestigious journals and presented findings at national and international conferences, contributing to the academic discourse in urban planning.
• Secured research grants and funding for urban planning projects, demonstrating the ability to attract external resources.
• Led interdisciplinary research teams to address complex urban challenges, fostering cross-disciplinary collaboration.

• Conducted cutting-edge research and mathematical modelling in the field of urban and landscape planning, with a focus on sustainability, resilience, and design innovation.
• Taught undergraduate and graduate-level courses in urban and landscape planning, delivering lectures, leading discussions, and mentoring students.
• Collaborated with interdisciplinary research teams to address complex urban and landscape challenges, fostering a collaborative and innovative research environment.
• Published research findings in peer-reviewed journals, contributing to the academic knowledge base in urban and landscape planning.
• Presented research at national and international conferences, facilitating knowledge dissemination and networking with fellow researchers.
• Designed and conducted fieldwork and case studies to gather empirical data for research projects, applying various data collection and analysis methods.

Doctor Of Philosophy (Phd), Geoinformatics, Computer Engineering

Spatial statistical and econometric modelling applied to urban planning and Real Estate Market

Master Of Science International Agribusiness, Agricultural Economics

Activities and Societies: Entrepreneurship Club Computer Science AssociationScholarship provided by the German Academic Exchange Service.

Industrial Civil Engineer