Rafał Bistroń | Quantum Information | Best Researcher Award

Mr. Rafał Bistroń | Quantum Information | Best Researcher Award

Uniwersytet Jagielloński | Poland

Rafał Bistroń is a PhD candidate in Theoretical Physics at Jagiellonian University, enrolled in the Doctoral School of Exact and Natural Sciences, where he maintains an outstanding academic record (GPA 5.0/5.0). His research focuses on quantum information theory, mathematical physics, and near-term quantum computing. He is the author of several peer-reviewed journal articles and multiple preprints, with over 40 citations to date, including contributions to Journal of Physics A, Physical Review D, Linear Algebra and its Applications, and SciPost Physics. He has collaborated internationally through NCN and Quantera-funded projects and research internships abroad. His work advances the mathematical foundations of quantum technologies with long-term societal relevance for secure communication and quantum computation.

Rafał Bistroń
PhD Student, Jagiellonian University

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Featured Publications


Monotonicity of a quantum 2-Wasserstein distance


– Journal of Physics A: Mathematical and Theoretical, 2023 · 25 citations


Tristochastic operations and products of quantum states


– Journal of Physics A: Mathematical and Theoretical, 2023 · 3 citations


Genuinely quantum families of 2-unitary matrices


– arXiv preprint, 2023 · 3 citations


A new class of distances on complex projective spaces


– Linear Algebra and its Applications, 2025 · 1 citation

 

Mr. Nishikanta Mohanty | Quantum Award | Best Researcher Award

Mr. Nishikanta Mohanty | Quantum Award | Best Researcher Award 

Mr. Nishikanta Mohanty, University Of Technology Sydney, Australia

Nishikanta Mohanty is an experienced Data Scientist and Quantum AI professional with over 18 years of expertise in Data Science, Machine Learning, Decisioning, and Quantum Machine Learning. Holding a PhD in Quantum Machine Learning and a Master’s in AI/ML, he has worked with leading organizations such as SAS Institute, Optus, Vodafone, and UNSW. His expertise spans fraud detection, workforce analytics, churn modeling, and cloud-based BI platforms. An accomplished researcher, he has published extensively on quantum algorithms and optimization problems. Nishikanta is passionate about leveraging cutting-edge AI and quantum technologies to solve complex problems and drive business innovation.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Nishikanta Mohanty is a highly accomplished researcher in Quantum Machine Learning and AI, with a strong background in data science and analytics. His extensive publication record, including contributions to IEEE Transactions on Quantum Engineering and Quantum Machine Intelligence, highlights his innovative approaches to optimization problems and minority class handling. With over 18 years of experience across industry and academia, he has successfully led projects in fraud detection, workforce analytics, and telecom decisioning. His research excellence, combined with a proven track record of impactful solutions, makes him a strong candidate for the Best Researcher Award.

📚 Education

🎓 PhD in Quantum Machine Learning
🎓 Master’s in Artificial Intelligence & Machine Learning
🎓 Engineering Degree

💼 Work Experience

🔹 AI & Decisioning Consultant – SAS Institute, Australia (Nov 2021 – Mar 2024)
🔹 Analytics Presales Consultant – Selarity, Australia (Mar 2021 – Jul 2021)
🔹 Data Administrator & Platform Consultant – UNSW, Australia (Sep 2018 – Feb 2021)
🔹 Senior Solutions Architect – Optus, Australia (Nov 2015 – Aug 2018)
🔹 Technical Specialist Campaigns – Vodafone, Australia (Aug 2015 – Nov 2015)
🔹 Data Science Architect – Singtel, Singapore (Apr 2014 – Aug 2015)
🔹 Technical Support Consultant – SAS Institute, India (Feb 2012 – Mar 2014)
🔹 Data Mining Developer – Tech Mahindra, India (Jul 2010 – Jan 2012)
🔹 Business Intelligence Lead – Tech Mahindra, India (Jul 2008 – Jul 2010)
🔹 SAS Business Intelligence Developer – TCS, India (Aug 2007 – Aug 2008)
🔹 ETL & BI Developer – Satyam Computers, India (Feb 2005 – Jul 2007)

🏆 Awards & Achievements

Star Performer Award – MEA (Tech Mahindra, 2011)
📈 Achievement: Reduced customer churn by 5% and increased upsell by 2% for MTN Nigeria.

🏅 Best Technical Support Consultant – India & South Asia (SAS Institute India, 2013)
💰 Achievement: Ensured customer renewals worth ₹7.5 million for a large insurance client.

🌟 Outstanding Performance Award – APAC (Tech Mahindra, 2017)
📲 Achievement: Optimized Optus Telecom’s campaign system, ensuring an error-free iPhone launch.

Publication Top Notes:

Analysis of the vehicle routing problem solved via hybrid quantum algorithms in the presence of noisy channels

 

Solving the vehicle routing problem via quantum support vector machines

 

A quantum approach to synthetic minority oversampling technique (SMOTE)

 

Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling