Abhijit Joshi is a distinguished research scientist and technology leader specializing in Artificial Intelligence, Machine Learning, and Data Science. He has a strong track record of driving innovation and leading research initiatives that translate into impactful real-world applications. His work often focuses on areas such as trustworthy AI, AI governance, neural networks, and the application of AI in enterprise solutions. Abhijit is known for his deep technical expertise, strategic vision in AI research, and contributions to developing next-generation AI systems.
Abhijit Joshi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and manages a team of researchers at IBM Research, focusing on advancing the frontiers of Artificial Intelligence and its applications. Contributes to IBM's AI strategy and key projects in trustworthy AI and foundational AI models.
Authored numerous influential research papers in top-tier AI conferences (e.g., NeurIPS, ICML, AAAI) and journals. Holds multiple patents in areas related to machine learning, data mining, and AI systems, showcasing a consistent output of innovative work.
Plays a significant role in research and development related to AI ethics, fairness, explainability, and robustness, contributing to IBM's frameworks and tools for building trustworthy AI systems.
Frequently invited to speak at major industry conferences, academic workshops, and symposiums to share insights on AI advancements, trends, and challenges.
Indian Institute of Management Ahmedabad - Year 2015
Birla Institute of Technology & Science, Pilani - Year 2009
Swami Vivekanand High School and Junior College - Year 2006
St. Lawrence High School, Borivali, Mumbai - Year 1996
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