Find Academic Supervisors

• Artificial Intelligence
• Machine Learning
• Data Analytics
• +7 more

Dr. Aaron M. Wester serves as Associate Professor and STEM Programs Director at Alliant International University's California School of Management and Leadership (CSML) in San Diego. He directs three Master of Science programs: Data Analytics (MSDA), Healthcare Analytics (MSHA), and Information Systems Technology (MSIST), shaping curriculum for graduate students in high-demand analytics fields. His educational background includes a BS in Business Management, MBA in Technology Management, and Doctor of Management in Organizational Leadership (Information Studies and Technology), all earned at the University of Phoenix. This foundation supports his dual expertise in academic instruction and corporate applications. Dr. Wester's research spans cutting-edge domains including Artificial Intelligence (focusing on generative chatbots and hallucination metrics), calm analytics in IoT ecosystems , and behavioral engagement in machine learning environments . His professional interests extend to data science, business intelligence, VR/AR integration, and digital marketing optimization, reflecting the interdisciplinary nature of modern analytics. Analysis of his 14 recent publications reveals a clear trajectory: current work (2022-2024) addresses critical AI challenges like hallucination quantification and ethical business integration, while earlier research (2011-2018) established foundations in SEO, web analytics, and social media automation. This evolution demonstrates consistent alignment between technical analytics and real-world business applications across disrupted marketplaces. No scientific awards were documented in the provided materials. With extensive industry experience leading analytics initiatives for Fortune 500 clients including Google, Microsoft, Apple, and Disney, Dr. Wester brings practical insights to his academic mentorship. His prior teaching appointments at Brigham Young University, Southern New Hampshire University, and Chinese institutions (Ningxia University, Tianjin University) demonstrate global educational impact, though specific student advisees weren't listed. No dedicated research laboratories or specialized technical teams were referenced in the available documentation.

• Artificial Intelligence
• Reinforcement Learning
• Multi-agent Systems
• +7 more

Jun Wang is a Professor of Information and Data Science in the Department of Computer Science at University College London. He serves as the Founding Director of the MSc Web Science and Big Data Analytics program and is the Co-founder and Chief Scientist of MediaGamma Ltd (acquired), a UCL startup focused on AI for intelligent audience decision-making. His educational background includes: Doctor of Philosophy from Technische Universiteit Delft (2007) Master of Science from National University of Singapore (2003) Bachelor's degree from Southeast University Nanjing (1997) Professor Wang's primary research focuses on AI and intelligent systems, with particular expertise in multiagent reinforcement learning, deep generative models, and their applications across several domains. His work spans information retrieval, recommender systems and personalization, data mining, smart cities, bot planning, and computational advertising. His research has practical implications in healthcare, robotics, and intelligent systems for decision-making, aligning with Sustainable Development Goal 3 (Good Health and Well-Being). His recent publications demonstrate a strong trend toward integrating large language models with reinforcement learning techniques to create more efficient and capable systems. The research spans healthcare applications, robotics, information systems, and strategic decision-making, with an emphasis on privacy preservation, efficient computation, and multi-agent coordination. Professor Wang has received several prestigious awards: Beyond Search – Semantic Computing and Internet Economics award from Microsoft Research Yahoo! FREP Faculty award UCLB One-to-Watch award 2016 for MediaGamma First place in global real-time bidding algorithm contest (80+ participants worldwide) Multiple Best Paper awards With over 15 years of experience, Professor Wang has advised numerous startups including Last.Fm, Passiv Systems, Massive Analytic, Context Scout, and Polecat. He has also collaborated with major industry players such as BT, Microsoft, Yahoo!, Alibaba, and Didi. His knowledge transfer activities bridge academic research with practical industry applications. Professor Wang has developed the Information Retrieval and Data Mining MSc module and the MSc/MRes programme on Web Science and Big Data Analytics. He also teaches a multiagent AI MSc module, sharing his expertise in cutting-edge AI techniques with the next generation of computer scientists.

Andrea ArcuriView profile

Professor

• Software Testing
• Search-Based Software Engineering
• Automated Testing
• +2 more

Andrea Arcuri is a Professor of Software Engineering at Kristiania University College in Oslo, Norway, where he leads the AISE lab. Since 2020, he also holds a part-time position as Adjunct Professor at Oslo Metropolitan University. After 5 years in industry (WesternGeco and Scienta/Telenor), he returned to academia full-time in October 2016. His research primarily focuses on automated software testing and search-based software engineering. Prof. Arcuri's research interests center around Software Testing , Search-Based Software Engineering , and Automated Testing techniques. He has made significant contributions to the field through the development of testing tools like EvoMaster for system-level test generation and EvoSuite for unit test generation. His work bridges theoretical foundations with practical applications, particularly in RESTful API testing and enterprise systems. His recent publications show a strong trend toward practical applications of search-based testing in industry settings, with particular emphasis on RESTful API testing, fuzz testing, and integration with modern development practices like DevOps. The research spans both theoretical foundations of search-based testing and practical tool development. ACM SIGSOFT Impact Paper Award 2023 for EvoSuite ICST 2022 10-Year Most Influential Paper Award ICSE 2021 10-Year Most Influential Paper Award Ranked 2nd Most Active Early Stage SE Researcher in JSS'18 Multiple Best/Distinguished Paper awards at SSBSE, ASE, and ISSTA Prof. Arcuri actively supervises PhD students and post-docs, including Iva Kertusha, Susruthan Seran, and Onur Duman. He serves in leadership roles for major conferences, including as FSE 2025 Artifact Track Chair and ICST 2022 Test Tool and Demo Track Chair. His research is supported through various academic grants and industry collaborations. He leads the AISE (Artificial Intelligence and Software Engineering) lab at Kristiania University College, where his team develops and maintains the EvoMaster system test generation tool. The lab focuses on practical applications of search-based software testing in real-world enterprise settings.