Amin Beheshti | Artificial Intelligence | Best Researcher Award

Published on by Life Science

Prof. Dr. Amin Beheshti | Artificial Intelligence | Best Researcher Award

Prof. Dr. Amin Beheshti is a Full Professor of Data Science at Macquarie University and Adjunct Professor at UNSW Sydney. He is the founder and director of the Centre for Applied Artificial Intelligence and head of the Data Science Lab. With expertise in AI, big data, and process analytics, he has authored influential books, supervised numerous researchers, and delivered keynote lectures worldwide. He has received prestigious awards, including the Australian National AI Award for Academic and Researcher of the Year, and is recognized among the world’s top scientists in computer science.

Prof. Dr. Amin Beheshti | Macquarie University | Australia

Profiles

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Education

Prof. Dr. Amin Beheshti holds a PhD and Postdoctoral qualification in Computer Science and Engineering from UNSW Sydney. He also earned a Master’s and Bachelor’s degree in Computer Science, both with First Class Honours, laying a strong academic foundation in computing and data-driven research.

Experience

He is a Full Professor of Data Science at Macquarie University and an Adjunct Professor of Computer Science at UNSW Sydney, Australia. He is the founder and director of the Centre for Applied Artificial Intelligence, the head of the Data Science Lab, and the founder of the Big Data Society at Macquarie University. Alongside his academic career, he brings extensive industry experience as a founder, CEO, consultant, and solution architect in both national and international organizations. He has also supervised numerous postdoctoral researchers, PhD candidates, and Master’s students, making significant contributions to academic training and mentorship.

Awards and Recognition

Prof. Beheshti has been honored with multiple prestigious awards, including the Australian National AI Award for AI Academic and Researcher of the Year. He has received university excellence awards in research innovation, partnership, and entrepreneurship, national security impact awards, and recognition awards for his work in translational AI solutions. His outstanding performance in research and teaching has placed him among the world’s top-ranked scientists in computer science, and his work has been acknowledged through best paper awards and other high-profile recognitions.

Skills and Expertise

His core expertise spans data science, artificial intelligence, big data analytics, process analytics, and social data analysis. He is skilled in translating advanced AI research into practical solutions with industry impact. Beyond his technical skills, he demonstrates strong leadership as a founder of major research centers, academic programs, and professional societies. His ability to build partnerships and secure competitive research funding highlights his excellence in research management and innovation.

Research Focus 

Prof. Beheshti’s research focuses on the application of AI and data science to real-world challenges. His projects include AI-enhanced medical imaging, personalized healthcare solutions, AI-enabled energy optimization, digital twins, generative AI for education, and intelligent business data storytelling. He has successfully led and collaborated on numerous large-scale, multi-partner research projects with strong industry engagement, demonstrating his commitment to bridging academic research and societal impact.

Research Projects

Prof. Beheshti has successfully led and collaborated on numerous cutting-edge projects in artificial intelligence and data science. His work includes developing AI-powered digital twins for personalized healthcare, advancing AI-driven energy optimization, and creating intelligent systems for business data storytelling. He has also contributed to national security solutions, AI-enabled medical imaging, and generative AI tools for education. Collectively, his projects demonstrate strong industry partnerships and societal impact, supported by significant research funding.

Publications

Novel deep learning-enabled LSTM autoencoder architecture for discovering anomalous events from intelligent transportation systems
Authors: J Ashraf, AD Bakhshi, N Moustafa, H Khurshid, A Javed, A Beheshti
Journal: IEEE Transactions on Intelligent Transportation Systems

A survey of empirical performance evaluation of permissioned blockchain platforms: Challenges and opportunities
Authors: M Dabbagh, KKR Choo, A Beheshti, M Tahir, NS Safa
Journal: Computers & Security

Fraudre: Fraud detection dual-resistant to graph inconsistency and imbalance
Authors: G Zhang, J Wu, J Yang, A Beheshti, S Xue, C Zhou, QZ Sheng
Journal: IEEE International Conference on Data Mining (ICDM)

A survey on deep learning event extraction: Approaches and applications
Authors: Q Li, J Li, J Sheng, S Cui, J Wu, Y Hei, H Peng, S Guo, L Wang, …
Journal: IEEE Transactions on Neural Networks and Learning Systems

DREAM: Distributed RDF Engine with Adaptive Query Planner and Minimal Communication
Authors: M Hammoud, DA Rabbou, R Nouri, SMR Beheshti, S Sakr
Journal: Proceedings of the VLDB Endowment

Conclusion

Prof. Beheshti’s exceptional academic achievements, industry collaborations, and innovative research in artificial intelligence and data science highlight his leadership in bridging theory and practice. His consistent contributions to impactful projects, global recognition, and dedication to advancing AI for societal benefit make him a distinguished figure in his field.