Üzeyir Fidan | Information Theory | Best Researcher Award

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Dr. Üzeyir Fidan | Information Theory | Best Researcher Award

Usak University, Turkey

Dr. Üzeyir Fidan is an accomplished researcher and academic specializing in Management Information Systems, with expertise in data analytics, decision support systems, digital transformation, and sustainability. He holds a Ph.D. in Management Information Systems from Gazi University and serves as Lecturer and Director of Vocational School at Uşak University, where he also leads academic departments and commissions. His extensive research includes international collaborations and publications in high-impact journals indexed in SCI, SSCI, ESCI, IEEE, and Scopus, alongside contributions to book chapters and conferences. Actively engaged in academic leadership, he supervises postgraduate research, contributes to quality initiatives, and promotes innovation in education and research. As a member of professional bodies such as IEEE, ACM, and the International Society on MCDM, he exemplifies excellence in scholarship, leadership, and community engagement.

Professional Profile

Google Scholar | Scopus Profile | ORCID Profile 

Education

Dr. Üzeyir Fidan built a solid academic foundation through diverse studies in mathematics, statistics, and management information systems. He earned his undergraduate degree in Mathematics from Afyon Kocatepe University, followed by a postgraduate degree in Statistics, where his thesis focused on support vector machines for document classification. His academic journey culminated with a Ph.D. in Management Information Systems from Gazi University, enabling him to specialize in data analytics, decision support systems, and digital transformation. Throughout his studies, he consistently combined theoretical knowledge with applied research, creating a multidisciplinary profile that bridges technology, decision sciences, and organizational systems. This diverse educational background has allowed him to develop an in-depth understanding of quantitative approaches, advanced computational techniques, and their applications to real-world problems in business, management, and information systems.

Experience

Dr. Üzeyir Fidan has extensive academic and administrative experience, holding multiple leadership roles at Uşak University. He has served as Director of Vocational School, Head of Department, and active member of institutional quality and academic commissions, contributing significantly to educational strategy, accreditation, and innovation in teaching. Alongside administrative leadership, he has taught courses in management information systems, data analysis, decision theory, project management, mathematics, and statistics, inspiring both undergraduate and postgraduate students. His supervision of postgraduate theses highlights his mentorship in research-driven learning. Dr. Fidan’s international presence is marked by his participation in scientific conferences, research projects, and academic collaborations. His professional journey combines classroom teaching, institutional governance, and active research, demonstrating his ability to balance education, administration, and scholarship with lasting impact on both academia and community.

Research Interest

Dr. Üzeyir Fidan’s primary research interests lie in Management Information Systems, with a strong focus on data analytics, digital transformation, sustainability, and decision support systems. He explores how organizations adapt to technological changes, applying advanced methods in multi-criteria decision-making, data mining, and artificial intelligence to address complex managerial and societal challenges. His research often integrates knowledge from information technology, organizational behavior, and computational models, producing innovative frameworks for business and technology alignment. He is particularly engaged in examining digitalization trends, corporate sustainability, and the role of data-driven strategies in decision-making processes. Through international collaborations, conference presentations, and publications in SCI, SSCI, and Scopus-indexed journals, he has contributed to advancing global scholarship. His interdisciplinary approach connects theory with practice, offering meaningful solutions for organizations, communities, and technology-driven ecosystems.

Awards and Honors

Dr. Üzeyir Fidan has earned recognition for his significant academic contributions, research achievements, and leadership in higher education. His publications in high-impact international journals such as SCI, SSCI, and IEEE-indexed platforms underscore his scholarly excellence and global visibility. He has authored book chapters with leading international publishers, reflecting his expertise in management information systems, digitalization, and sustainability. His active role in supervising research, mentoring students, and contributing to quality commissions has further solidified his academic influence. Membership in prestigious professional organizations such as IEEE, ACM, and the International Society on MCDM highlights his standing in the global academic community. These professional honors, combined with his dedication to advancing knowledge, demonstrate his commitment to both research and education, making him a highly regarded figure within international scholarly networks.

Research Skill

Dr. Üzeyir Fidan demonstrates advanced research skills in multi-criteria decision-making, data mining, artificial intelligence applications, and quantitative modeling. His ability to design and implement analytical frameworks for solving organizational and technological problems reflects his strength in integrating computational tools with managerial practices. He is proficient in applying decision trees, clustering techniques, support vector machines, and advanced statistical models to real-world case studies. His expertise extends to bibliometric analysis, systematic reviews, and sustainability assessments, enabling comprehensive insights into technological and organizational systems. Through his publications in reputable international journals and his work on applied research projects, Dr. Fidan showcases methodological rigor, innovation, and critical thinking. His research skillset is further strengthened by his involvement in collaborative, interdisciplinary projects that address complex global challenges in digital transformation and decision support.

Publication Top Notes

  • Title: Mapping the Effect of Corporate Reputation Perception on Purchase Intention Using a Decision Tree
    Authors: B Gok, Ü Fidan
    Year: 2019
    Citation: 9

  • Title: Could Bitcoin Be an Alternative for Portfolio Diversification Decisions? MEREC-Based VIKOR Approach
    Authors: Ü Fidan
    Year: 2022
    Citation: 6

  • Title: Investigating the Association between Employee Silence and Perceived Organizational Support via Data Mining
    Authors: Y Volkan, Ü Fidan
    Year: 2020
    Citation: 5

  • Title: Assessment of Türkiye’s Digitalization Performance within the Framework of the UN Sustainable Development Index
    Authors: Ü Fidan
    Year: 2024
    Citation: 4

  • Title: Economic and Financial Situation Research in Pharmacies
    Authors: Ü Fidan, M Türker, Ö D Albayrak
    Year: 2019
    Citation: 4

  • Title: Basic Statistical Methods in Determining Criteria Weights
    Authors: Ü Fidan
    Year: 2025
    Citation: 3

  • Title: Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection Systems
    Authors: Ü Fidan, N A Boza
    Year: 2024
    Citation: 2

  • Title: Integrating Organizational Reputation Mechanism to Decision-Making Processes: Facebook Case
    Authors: V Yüncü, Ü Fidan
    Year: 2019
    Citation: 2

  • Title: Deception or Illusion?
    Authors: V Yuncu, D P Bas, Ü Fidan
    Year: 2017
    Citation: 2

  • Title: Data-Driven Business Intelligence Systems for Socio-Technical Organizations
    Authors: P Keikhosrokiani
    Year: 2024
    Citation: 1

  • Title: Convergence or Divergence? Trends in the Digitalisation Index Cluster over the Years
    Authors: Ü Fidan
    Year: 2024
    Citation: 1

  • Title: Assessment of Sustainability Compliance Performance of Information Technology Companies
    Authors: Ü Fidan
    Year: 2023
    Citation: 1

  • Title: Simulation-Based Comparison of Objective Weighting Methods
    Authors: Ü Fidan, M T Anpınar
    Year: 2022
    Citation: 1

  • Title: Planning Türkiye’s Power System Portfolio through Analytical Hierarchy Process and Data Preprocessing
    Authors: Ü Fidan, M Atak
    Year: 2020
    Citation: 1

Conclusion

Dr. Üzeyir Fidan embodies the qualities of a modern scholar, combining expertise in management information systems with a passion for innovation, sustainability, and education. His contributions to research, leadership, and international collaboration demonstrate his commitment to advancing knowledge and shaping future directions in academia and practice. Through impactful publications, teaching, and administrative leadership, he has played a vital role in enhancing institutional quality and promoting global academic engagement. His membership in international organizations further reflects his recognition as a respected researcher and leader. Looking forward, Dr. Fidan is poised to continue making significant contributions to digital transformation, decision sciences, and sustainability research, while mentoring the next generation of scholars. His record of excellence makes him a distinguished academic deserving of recognition and future leadership opportunities.

Ovidiu Racorean | Information Theory | Best Researcher Award

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Dr. Ovidiu Racorean | Information Theory | Best Researcher Award

Expert at DGTI, Romania

Dr. Ovidiu Racorean is a distinguished senior researcher specializing in quantum information theory, theoretical physics, and quantum finance. 🌌 His innovative work explores complex concepts such as temporal wormholes, entanglement entropy, and the application of quantum mechanics to financial markets 📈. With a strong interdisciplinary approach, he bridges physics and economics, contributing novel hypotheses that deepen our understanding of black holes and market dynamics. 🕳️💹 Dr. Racorean has a solid publication record, including impactful papers in respected journals and preprints, showcasing his active research presence. 📚 Beyond academia, he engages in science communication, making advanced scientific ideas accessible to the public. 🗣️ Fluent in English and Romanian, he holds a position at Romania’s Ministry of Finance, where he applies theoretical insights to practical challenges. His work exemplifies innovation, rigor, and dedication, marking him as a leading candidate for the Best Researcher Award. 🏆

Professional Profile 

Education 🎓

Dr. Ovidiu Racorean completed his B.Sc. and M.Sc. degrees in Economics at the prestigious Bucharest Academy of Economic Studies (ASE), Romania. His academic foundation in economics provided a unique perspective that he later combined with advanced concepts in quantum physics. This strong educational background enabled him to pursue interdisciplinary research at the intersection of theoretical physics, quantum information, and financial markets. His rigorous training in economics and quantitative methods supports his innovative work in quantum finance and econophysics, reflecting a rare blend of expertise that spans both social sciences and hard sciences. This diverse education underpins his ability to address complex problems from multiple angles, fostering groundbreaking research that challenges traditional disciplinary boundaries.

Professional Experience 💼

Dr. Racorean currently serves as a Senior Researcher at the General Directorate of Information Technology within Romania’s Ministry of Finance. In this role, he focuses on applying principles from quantum mechanics and information theory to both theoretical physics and financial systems. His work involves developing novel frameworks that integrate quantum phenomena with economic modeling, a pioneering area that bridges two traditionally separate domains. Over the years, Dr. Racorean has contributed significant theoretical insights on black hole thermodynamics and quantum finance, advancing knowledge within these specialized fields. His position in a governmental institution also highlights his ability to translate complex scientific theories into practical applications relevant to national financial technology infrastructure.

Research Interests 🔬

Dr. Ovidiu Racorean’s research spans several cutting-edge domains including quantum information theory, the AdS/CFT correspondence, temporal wormholes, and the arrow of time in physics. He also focuses on entanglement entropy and spacetime geometry, investigating fundamental aspects of the universe through quantum mechanics. Additionally, his interests extend to the emerging field of quantum finance and econophysics, where he explores the parallels between quantum phenomena and market behaviors. Dr. Racorean’s work on black hole thermodynamics further reflects his commitment to understanding complex systems via interdisciplinary methods. This diverse portfolio demonstrates his dedication to bridging physics and economics, leveraging quantum principles to reveal new insights across both theoretical and applied sciences.

Awards and Honors 🏅

While specific awards and honors for Dr. Ovidiu Racorean have not been explicitly listed, his academic and professional contributions position him as a strong candidate for prestigious recognition. His innovative research outputs, including influential publications in theoretical physics and quantum finance, reflect a trajectory of excellence and impact. Participation in notable scientific discussions and his role at a key governmental institution further underscore his leadership in the field. Given his pioneering hypotheses and interdisciplinary approach, Dr. Racorean is well poised to receive awards that honor innovation at the intersection of physics and economics. Recognition for his work would celebrate his dedication to advancing knowledge and bridging complex scientific domains.

Research Skills 🧪

Dr. Racorean exhibits a sophisticated mastery of quantum mechanics, theoretical physics, and advanced mathematical modeling, with strong expertise in quantum information theory and spacetime geometry. His skills extend to applying quantum principles to financial systems, demonstrating proficiency in econophysics and quantum finance modeling. He is adept at hypothesis development, critical analysis, and interdisciplinary research design. Dr. Racorean also possesses experience in scientific communication and publication, contributing regularly to high-level research discussions and public science platforms. His ability to synthesize complex physical theories with economic data reflects strong analytical and computational skills, making him uniquely qualified to drive innovation in emerging quantum applications both within theoretical and practical frameworks.

Publications Top Notes 📝

  • Title: Spacetime manipulation of quantum information around rotating black holes
    Author : O. Racorean
    Year : 201
    Citations: 5
    Source: Annals of Physics 398, 254-264

  • Title: Crossing Stocks and the Positive Grassmannian I: The Geometry behind Stock Market
    Author: O. Racorean
    Year : 2014
    Ci: 5
    Source: arXiv preprint arXiv:1402.1281

  • Title: Quantum Gates and Quantum Circuits of Stock Portfolio
    Author: O. Racorean
    Year: 2015
    Citations: 4
    Source: arXiv preprint arXiv:1507.02310

  • Title: Braided and Knotted Stocks in the Stock Market: Anticipating the flash crashes
    Author: O. Racorean
    Year: 2014
    Citations: 4
    Source: arXiv preprint arXiv:1404.6637

  • Title: Quantum entanglement, two-sided spacetimes and the thermodynamic arrow of time
    Author : O. Racorean
    Year : 2019
    Citations :
    Source: arXiv preprint arXiv:1904.04012

  • Title : How much you
    Autho: O. Racorean
    Year: 2013
    Citations: 3
    Source: arXiv preprint arXiv:1307.6727

  • Title: Decoding Stock Market Behavior with the Topological Quantum Computer
    Author: O. Racorean
    Year: 2014
    Citations: 2
    Source: arXiv preprint arXiv:1406.3531

  • Title: Time-independent pricing of options in range bound markets
    Author : O. Racorean
    Year : 2013
    Citations: 2
    Source: arXiv preprint arXiv:1304.6846

  • Title: Creation of single-photon entangled states around rotating black holes
    Author: O. Racorean
    Year: 2018
    Citations: 1
    Source: New Astronomy 59, 65-70

  • Title: Are Financial Markets an aspect of Quantum World?
    Author : O. Racorean
    Year : 2013
    Citations : 1
    Source: arXiv preprint arXiv:1305.1559

  • Title: The reversal of time effect in the bulk of the traversable wormholes
    Author: O.S. Racorean
    Year: 2025
    Citations: –
    Source: Available at SSRN

  • Title: Behind the horizon
    Author: O.S. Racorean
    Year: 2023
    Citations: –
    Source: Available at SSRN 4637408

  • Title: Eternal black holes and temporal quantum correlations
    Author: O. Racorean
    Year: 2023
    Citations: –
    Source: arXiv preprint arXiv:2304.00982

  • Title: Eternal black holes and quantum temporal correlations
    Author : O. Racorean
    Year : 2023
    Quote: –
    Source: arXiv e-prints, arXiv:2304.00982

  • Title: The Born rule in a timeless universe
    Author: O. Racorean
    Year: 2022
    Citations: –
    Source: arXiv preprint arXiv:2203.07074

  • Title: Quantum entanglement and the non-orientability of spacetime
    Author: O. Racorean
    Year: 2020
    Citations: –
    Source: arXiv preprint arXiv:2009.04990

  • Title: AdS/CFT correspondence: the fountain of quantum youth
    Author: O. Racorean
    Year: 2020
    Citations: –
    Source: arXiv preprint arXiv:2003.09228

  • Title: Quantum gates implementation by X-ray single-photons around rotating black holes
    Author : O. Racorean
    Year : 2017
    Citations: –
    Source: arXiv preprint arXiv:1702.04640

  • Title: Is the Stock Market a Quantum Computational Virtual Reality?
    Author: O.S. Racorean
    Year: 2015
    Citations: –
    Source: Available at SSRN 2665882

  • Title: Correct usage of transmission coefficient for timing the market
    Author: O. Racorean
    Year: 2013
    Citations: –
    Source: arXiv preprint arXiv:1307.5975

Conclusion ✔️

Dr. Ovidiu Racorean stands out as a visionary researcher whose interdisciplinary work bridges quantum physics and finance with remarkable originality. His innovative hypotheses on temporal wormholes and the quantum behavior of markets demonstrate both depth and creativity. With a robust publication record and a pivotal role at Romania’s Ministry of Finance, he combines theoretical rigor with applied relevance. While expanding peer-reviewed publications and international collaborations could enhance his profile, his current achievements highlight significant contributions to emerging fields. Dr. Racorean’s commitment to science communication further broadens his impact beyond academia. Overall, he exemplifies the qualities of a leading researcher deserving of the Best Researcher Award, reflecting innovation, dedication, and cross-disciplinary excellence.

Sabre Kais | Information Theory | Best Researcher Award

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Prof. Dr. Sabre Kais | Information Theory | Best Researcher Award

Goodnight Distinguished Chair in Quantum Computing at North Carolina State University, United States

Prof. Dr. Sabre Kais is a distinguished scholar in quantum information science, theoretical chemistry, and quantum computing. He serves as a Professor of Chemistry at Purdue University and leads the Quantum Information Science Group. 🧪🔬 His pioneering research focuses on quantum phase transitions, entanglement, and applying quantum algorithms to solve complex chemical problems. With over 250 peer-reviewed publications and multiple prestigious awards, including fellowships from the American Physical Society and the American Association for the Advancement of Science, he has significantly advanced interdisciplinary science. 📚🌐 As a dedicated educator and mentor, Prof. Kais continues to shape future leaders in quantum technologies while spearheading collaborations across physics, chemistry, and computer science. His visionary work drives innovation at the intersection of theory and application in emerging quantum fields. 💡⚛️

Professional Profile

Education 🎓📘

Prof. Dr. Sabre Kais earned his Ph.D. in Chemical Physics from the University of California, Berkeley, where he laid the foundation for his career in theoretical and quantum chemistry. Prior to that, he completed his undergraduate studies in Chemistry with honors, showcasing early aptitude in mathematics and physics. His academic training was deeply rooted in interdisciplinary approaches, enabling him to bridge concepts from chemistry, physics, and computer science. This educational background equipped him with a unique ability to investigate complex quantum systems and foster innovative solutions in quantum computation and information theory. 📚💡 His deep commitment to education continues through curriculum development and mentoring, nurturing future leaders in quantum science and technology.

Professional Experience 🧪👨‍🏫

Prof. Kais is a full professor at Purdue University, where he leads the Quantum Information Science Group. He has held visiting positions and collaborative appointments at premier research institutions worldwide. 🏛️🌍 His career spans over three decades of teaching, supervising graduate students, and conducting frontier research. At Purdue, he is also affiliated with the Department of Physics and the Department of Computer Science, reflecting his truly interdisciplinary approach. He has served on editorial boards, national review panels, and has contributed to shaping quantum education policy. His professional journey is marked by leadership in large-scale collaborative research projects, including NSF and DOE-funded initiatives that focus on quantum algorithms and simulations. 🧠🖥️ His rich experience reflects a commitment to advancing both academia and cutting-edge quantum technology.

Research Interests ⚛️🔬

Prof. Kais’s research spans quantum computing, quantum information, theoretical chemistry, and many-body systems. His work focuses on quantum phase transitions, quantum entanglement, and the application of quantum algorithms to chemical problems. 🧬🧠 He is particularly interested in solving classically intractable problems using quantum resources, including simulating molecular structures, reaction dynamics, and quantum control mechanisms. He also explores quantum machine learning and quantum chaos, positioning himself at the frontier of quantum science. 🔍🧑‍🔬 Prof. Kais integrates advanced mathematical techniques with physical insights, enabling breakthroughs in quantum simulations. His research bridges theory and practical quantum computation, aiming to influence next-generation quantum technologies and real-world applications in chemistry, materials science, and drug discovery.

Awards and Honors 🏅🎖️

Prof. Kais has received numerous prestigious awards recognizing his excellence in research and scientific contributions. He is a Fellow of the American Physical Society (APS) and the American Association for the Advancement of Science (AAAS), honors bestowed on scientists with exceptional achievements. 🌟🔬 His accolades include the Purdue University Research Excellence Award, NSF CAREER Award, and multiple keynote speaker invitations at top international conferences. His distinguished record of publication and leadership in quantum research has earned him recognition as a global thought leader in quantum chemistry and computing. 📜🌍 These honors reflect both the depth of his scientific impact and his dedication to advancing interdisciplinary research at the intersection of chemistry, physics, and quantum information science.

Research Skills 💻

Prof. Kais possesses a comprehensive set of research skills, including quantum algorithm design, numerical simulations, mathematical modeling, and quantum theory development. He is proficient in quantum programming frameworks and high-performance computing, applying them to model atomic and molecular systems. 🧠🧮 His interdisciplinary capabilities enable him to tackle problems across chemistry, physics, and computer science. He demonstrates expertise in quantum entanglement analysis, phase transition modeling, and information-theoretic approaches to molecular dynamics. 🧪🧾 His strong analytical skills, combined with an ability to integrate theory with computation, make him a leader in quantum information science. He continually evolves his technical toolbox to adapt to new challenges and collaborates across domains to foster innovation.

Publications Top Notes

  • Title: Revealing the role of organic cations in hybrid halide perovskite CH3NH3PbI3
    Authors: C. Motta; F. El-Mellouhi; S. Kais; N. Tabet; F. Alharbi; S. Sanvito
    Year: 2015
    Citations: 740
    Source: Nature Communications

  • Title: Qudits and high-dimensional quantum computing
    Authors: Y. Wang; Z. Hu; B.C. Sanders; S. Kais
    Year: 2020
    Citations: 521
    Source: Frontiers in Physics

  • Title: Reduced-density-matrix mechanics
    Authors: A.J. Coleman
    Year: 2007
    Citations: 392
    Source: Book

  • Title: Manipulation of molecules with electromagnetic fields
    Authors: M. Lemeshko; R.V. Krems; J.M. Doyle; S. Kais
    Year: 2013
    Citations: 353
    Source: Molecular Physics

  • Title: Theoretical limits of photovoltaics efficiency
    Authors: F.H. Alharbi; S. Kais
    Year: 2015
    Citations: 290
    Source: Renewable and Sustainable Energy Reviews

  • Title: Quantum algorithm and circuit design solving the Poisson equation
    Authors: Y. Cao; A. Papageorgiou; I. Petras; J. Traub; S. Kais
    Year: 2013
    Citations: 249
    Source: New Journal of Physics

  • Title: Quantum annealing for prime factorization
    Authors: S. Jiang; K.A. Britt; A.J. McCaskey; T.S. Humble; S. Kais
    Year: 2018
    Citations: 243
    Source: Scientific Reports

  • Title: Quantum machine learning for electronic structure calculations
    Authors: R. Xia; S. Kais
    Year: 2018
    Citations: 204
    Source: Nature Communications

  • Title: Application of quantum-inspired tensor networks to optimize federated learning systems
    Authors: A.S. Bhatia, Amandeep Singh; M.K. Saggi, Mandeep Kaur; S. Kais, Sabre
    Year: 2025
    Source: Quantum Machine Intelligence

  • Title: Open-quantum-system simulation through exploiting noise on quantum computers
    Authors: S. Kais, Sabre; D.A. Mazziotti, David A.
    Year: 2025
    Source: Physical Review A

  • Title: Entropy-Assisted Quality Pattern Identification in Finance
    Authors: R. Gupta, Rishabh; S. Gupta, Shivam; J. Singh, Jaskirat; S. Kais, Sabre
    Year: 2025
    Source: Entropy

  • Title: Quantum Algorithms and Applications for Open Quantum Systems
    Authors: L.H. Delgado-Granados, Luis H.; T.J. Krogmeier, Timothy J.; L.A.M. Sager-Smith, Lee Ann M.; K. Head-Marsden, Kade; D.A. Mazziotti, David A.
    Year: 2025
    Citations: 2
    Source: Review Article

  • Title: Refined phase diagram for a spin-1 system exhibiting a Haldane phase
    Authors: M. Mousa, Mohamad; B. Wehefritz-Kaufmann, Birgit; S. Kais, Sabre; S.X. Cui, Shawn Xingshan; R.M. Kaufmann, Ralph M.
    Year: 2025
    Source: Physical Review B

  • Title: Designing Variational Ansatz for Quantum-Enabled Simulation of Non-Unitary Dynamical Evolution – An Excursion into Dicke Superradiance
    Authors: S. Shivpuje, Saurabh; M. Sajjan, Manas; Y. Wang, Yuchen; Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Citations: 1
    Source: Advanced Quantum Technologies

  • Title: The Qubit Information Logic Theory for Understanding Multi-Qubit Entanglement and Designing Exotic Entangled States
    Authors: Z. Hu, Zixuan; S. Kais, Sabre
    Year: 2025
    Source: Annalen der Physik

  • Title: Experimental test of generalized multipartite entropic uncertainty relations
    Authors: Z. Wang, Zhaoan; B. Xie, Bofu; F. Ming, Fei; G. Guo, Guangcan; S. Kais, Sabre
    Year: 2024
    Citations: 1
    Source: Physical Review A

  • Title: Entropy corrected geometric Brownian motion
    Authors: R. Gupta, Rishabh; E.A. Drzazga-Szczȩśniak, Ewa A.; S. Kais, Sabre; D. Szczȩśniak, Dominik
    Year: 2024
    Citations: 5
    Source: Scientific Reports

  • Title: Psitrum: An open source simulator for universal quantum computers
    Authors: M.Y. Alghadeer, Mohammed Y.; E. Aldawsari, Eid; R. Selvarajan, Raja; S. Kais, Sabre; F.H. Alharbi, Fahhad H.
    Year: 2024
    Source: IET Quantum Communication.

Conclusion 🌟📌

Prof. Dr. Sabre Kais is a trailblazer in the realm of quantum science, seamlessly blending theoretical expertise with practical innovation. His contributions span across education, research, and global scientific leadership, making him a respected figure in multiple disciplines. ⚛️🌐 Through a career marked by scholarly excellence, mentorship, and interdisciplinary collaboration, he continues to shape the future of quantum computing and molecular science. His visionary outlook, combined with a tireless commitment to knowledge creation and dissemination, positions him at the forefront of emerging quantum technologies. 📈🔭 Prof. Kais’s legacy is one of bridging disciplines to unravel the complexities of the quantum world and inspire future generations of scientists.