Aleksandar Stojanovic
Berlin, Berlin,Germany
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Aleksandar Stojanovic is a distinguished expert and thought leader in Artificial Intelligence and Machine Learning, with over fifteen years of experience driving innovation and research in both academic and industrial settings. He specializes in developing cutting-edge algorithms for complex data analysis, natural language processing, and computer vision. Aleksandar is passionate about translating theoretical advancements into practical, impactful solutions that address real-world challenges. He has a proven track record of leading high-performing research teams, architecting scalable AI systems, and publishing influential work in top-tier international conferences and journals. His current focus includes explainable AI (XAI), robust machine learning models, and the ethical implications of AI deployment.
Professional Summary
Aleksandar Stojanovic's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD in Machine Learning
Successfully completed doctoral studies with a thesis on 'Novel Deep Learning Architectures for Unstructured Data' from a leading European technical university, contributing significantly to the field.
Lead AI Strategist for Global Tech Firm
Defined and executed the AI research and development roadmap for a major multinational technology company, resulting in several patented innovations and product enhancements.
Published over 50 Peer-Reviewed Papers
Authored and co-authored numerous influential research papers in prestigious AI conferences (e.g., NeurIPS, ICML, CVPR) and journals, with high citation counts.
Recipient of 'Tech Innovator of the Year' Award
Awarded for pioneering work in applying AI to solve critical challenges in the healthcare sector, significantly improving diagnostic accuracy.
Keynote Speaker at International AI Summit
Invited to deliver keynote presentations at multiple global AI conferences, sharing insights on the future trends and ethical considerations in artificial intelligence.
Development of Open-Source AI Toolkit
Led the creation and release of a widely adopted open-source software library for advanced machine learning, empowering researchers and developers worldwide.
Educational Background
Customer Focused Innovation
Stanford University Graduate School of Business
Predictive Data Science
Warwick Business School
Design Thinking
d.school. Institute of Design at Stanford
FutureMed / Exponential Medicine
Singularity University
Economics
Fernuniversität Hagen
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Company Overview
DARI FoundationDARI Foundation is a Tunisian non-profit organization established in 2019 with the primary mission to provide decent housing solutions for underprivileged families in Tunisia. It focuses on constructing new homes and renovating existing dilapidated ones to improve living conditions and ensure dignity for vulnerable populations. The foundation operates on principles of social solidarity, mobilizing resources through donations, partnerships with corporations, and community engagement to combat housing precarity and foster social inclusion.
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