Hao Guo | Pure Mathematics | Best Researcher Award

Assist. Prof. Dr. Hao Guo | Pure Mathematics | Best Researcher Award

Assistant Professor at Tsinghua University, China

Dr. Hao Guo ๐ŸŽ“ is a leading early-career mathematician specializing in geometric analysis, noncommutative geometry, and quantitative K-theory ๐Ÿ“๐Ÿ“Š. Currently a tenure-track Assistant Professor at the Yau Mathematical Sciences Center, Tsinghua University ๐Ÿ›๏ธ, he has authored impactful publications in top-tier journals such as Journal of Functional Analysis and Mathematische Annalen ๐Ÿ“š. His research advances understanding of scalar curvature and index theory, with applications in modern mathematical physics ๐Ÿ”ฌ. Dr. Guo is also an invited speaker at prestigious global seminars ๐ŸŒ and a co-author of an upcoming CBMS monograph with the AMS ๐Ÿ–‹๏ธ. His contributions to both teaching and research have earned him the 2024 Ruo Lin Award ๐Ÿ…. Through academic leadership, global collaboration ๐Ÿค, and deep theoretical insight, Dr. Guo exemplifies innovation and excellence in contemporary mathematics.

Professional Profileย 

๐ŸŽ“ Education

Dr. Hao Guo holds a Ph.D. in Pure Mathematics (2018) from the University of Adelaide, Australia, where his thesis focused on Positive Scalar Curvature and Callias-Type Index Theorems for Proper Actions under the supervision of Professors Varghese Mathai and Hang Wang. ๐Ÿ“˜ He earned his B.Sc. with First Class Honours (2016) from the University of Sydney, completing a thesis on De Rham-Hodge Theory and Wittenโ€™s Deformation. ๐Ÿ“š His educational journey reflects strong foundations in differential geometry, index theory, and noncommutative geometry. With training from top Australian institutions and mentorship from internationally respected mathematicians, Dr. Guo has developed both depth and versatility in mathematical thinking, setting the stage for his impactful contributions to geometric analysis and operator algebras. ๐Ÿง โœ๏ธ

๐Ÿ’ผ Professional Experience

Dr. Guo currently serves as a tenure-track Assistant Professor at the Yau Mathematical Sciences Center, Tsinghua University (2022โ€“present) ๐Ÿซ, one of Asiaโ€™s leading mathematical institutes. Prior roles include ARC Research Associate at the University of Adelaide (2020โ€“2021) and Visiting Assistant Professor at Texas A&M University (2018โ€“2020) ๐ŸŒ. These positions have enabled him to collaborate across continents, engage in deep theoretical work, and teach a variety of advanced mathematics courses. ๐Ÿ‘จโ€๐Ÿซ He has also taken on leadership roles in organizing international conferences and working seminars, reflecting his commitment to academic community-building. His professional path is marked by global experience, cross-disciplinary exposure, and a trajectory toward excellence in both research and education. ๐ŸŒ๐Ÿ“ˆ

๐Ÿ”ฌ Research Interests

Dr. Guo’s research lies at the intersection of differential geometry, operator algebras, noncommutative geometry, and quantitative K-theory. ๐Ÿงฎ His work focuses on problems related to positive scalar curvature, higher index theory, and coarse geometry. Using advanced analytic and topological tools, he has contributed to the development of equivariant index theorems and functoriality in higher rho invariants. ๐Ÿ“ His recent research explores covering complexity, band width problems, and large-scale geometric invariants. By blending geometric intuition with deep algebraic structures, Dr. Guo addresses some of the most intricate and abstract questions in modern mathematicsโ€”pushing forward the boundaries of theoretical research with high impact and originality. ๐Ÿง ๐Ÿ”

๐Ÿ… Awards and Honors

Dr. Hao Guo has received multiple accolades recognizing both his research and teaching excellence. Most notably, he was awarded the 2024 Ruo Lin Award at Tsinghua University for an outstanding research paper. ๐Ÿฅ‡ During his Ph.D., he earned the Deanโ€™s Commendation for Doctoral Thesis Excellence (2018) and the Walter & Dorothy Duncan Trust Travel Grant (2017). ๐ŸŽ“ Earlier, he was honored with the B.H. Neumann Prize (2016) for the best student talk at the Annual Meeting of the Australian Mathematical Society. ๐Ÿ† His diverse recognitionsโ€”from thesis to teaching awardsโ€”demonstrate a well-rounded academic profile, blending innovation, communication, and rigor across his career. ๐Ÿ’ก๐Ÿ“œ

๐Ÿง  Research Skills

Dr. Guo demonstrates expertise in a wide range of mathematical and technical skills. He is proficient in geometric analysis, index theory, and operator algebras, with deep command of tools in noncommutative geometry and K-theory. ๐Ÿ”ข He is also skilled in computational platforms such as Mathematica, MATLAB, Python, and LaTeXโ€”essential for both analytical computation and formal mathematical writing. ๐Ÿ’ป In addition, Dr. Guo has excellent academic writing and presentation abilities, having delivered over 30 invited talks and lectures at major international conferences and seminars. ๐Ÿ“Š His collaborative approach and methodological rigor make him a highly effective contributor to both independent and team-based research environments. ๐Ÿค๐Ÿ“ˆ

Publications Top Note ๐Ÿ“

  • Title: Quantitative K-Theory, Positive Scalar Curvature, and Band Width
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2020
    Citations: 18
    Source: Perspectives on Scalar Curvature, edited by M.L. Gromov and H.B. Lawson Jr., pp. 763โ€“798

  • Title: Positive Scalar Curvature and Poincarรฉ Duality for Proper Actions
    Authors: H. Guo, V. Mathai, H. Wang
    Year: 2019
    Citations: 14
    Source: Journal of Noncommutative Geometry, Vol. 13(4), pp. 1381โ€“1433

  • Title: Equivariant Callias Index Theory via Coarse Geometry
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 12
    Source: Annales de lโ€™Institut Fourier, Vol. 71(6), pp. 2387โ€“2430

  • Title: Index of Equivariant Callias-Type Operators and Invariant Metrics of Positive Scalar Curvature
    Authors: H. Guo
    Year: 2021
    Citations: 10
    Source: The Journal of Geometric Analysis, Vol. 31(1), pp. 1โ€“34

  • Title: A Lichnerowicz Vanishing Theorem for the Maximal Roe Algebra
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2023
    Citations: 8
    Source: Mathematische Annalen, Vol. 385(1), pp. 717โ€“743

  • Title: Coarse Geometry and Callias Quantisation
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 8
    Source: Transactions of the American Mathematical Society, Vol. 374(4), pp. 2479โ€“2520

  • Title: Positive Scalar Curvature and an Equivariant Callias-Type Index Theorem for Proper Actions
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 5
    Source: Annals of K-Theory, Vol. 6(2), pp. 319โ€“356

  • Title: Functoriality for Higher Rho Invariants of Elliptic Operators
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2021
    Citations: 3
    Source: Journal of Functional Analysis, Vol. 280(10), Article 108966

  • Title: Covering Complexity, Scalar Curvature, and Quantitative K-Theory
    Authors: H. Guo, G. Yu
    Year: 2022
    Citations: 2
    Source: arXiv preprint, arXiv:2203.15003

  • Title: An Equivariant Poincarรฉ Duality for Proper Cocompact Actions by Matrix Groups
    Authors: H. Guo, V. Mathai
    Year: 2022
    Citations: 1
    Source: Journal of Noncommutative Geometry, Vol. 16(4)

  • Title: Positive Scalar Curvature and Callias-Type Index Theorems for Proper Actions
    Authors: H. Guo
    Year: 2019
    Citations: 1
    Source: Bulletin of the Australian Mathematical Society, Vol. 99(2), pp. 342โ€“343

  • Title: A Higher Index and Rapidly Decaying Kernels
    Authors: H. Guo, P. Hochs, H. Wang
    Year: 2025
    Source: arXiv preprint, arXiv:2505.02498

  • Title: A Higher Index on Finite-Volume Locally Symmetric Spaces
    Authors: H. Guo, P. Hochs, H. Wang
    Year: 2024
    Source: arXiv preprint, arXiv:2407.16275

  • Title: Higher Localised ร‚-Genera for Proper Actions and Applications
    Authors: H. Guo, V. Mathai
    Year: 2022
    Source: Journal of Functional Analysis, Vol. 283(12), Article 109695

โœ… Conclusion

Dr. Hao Guo stands out as a rising leader in pure mathematics, combining rigorous theoretical research with a global academic presence. ๐ŸŒŸ His work on scalar curvature, index theory, and noncommutative geometry has garnered international attention, bolstered by prestigious awards and high-impact publications. ๐Ÿ“š As an educator, speaker, and mentor, he has made meaningful contributions to mathematical communities across Asia, Australia, and the U.S. ๐ŸŒ With strong research momentum, cross-disciplinary skills, and leadership in academic initiatives, Dr. Guo exemplifies the qualities of a world-class scholar. ๐Ÿง‘โ€๐Ÿ”ฌ He is exceptionally well-suited for recognition through a Best Researcher Award and promises continued innovation in the mathematical sciences. ๐Ÿ…๐Ÿ“

Sarishti Singh | Pure Mathematics | Best Researcher Award

Dr. Sarishti Singh | Pure Mathematics | Best Researcher Award

Research Assistant at Bits Pilani Goa, India

Dr. Sarishti Singh ๐ŸŽ“, an emerging scholar from the Department of Mathematics at IIT Kharagpur ๐Ÿ‡ฎ๐Ÿ‡ณ, exemplifies brilliance in the realm of interval analysis and matrix theory. With a Ph.D. focused on uncertainty modeling through interval matrices, her research explores sophisticated domains such as generalized eigenvalue problems, singular value decomposition, and portfolio optimization under imprecise conditions ๐Ÿ“Š. Backed by prestigious fellowships like UGC-JRF and GATE (AIR 44) ๐Ÿ…, she has authored impactful publications in leading international journals, showcasing innovation and mathematical rigor ๐Ÿง . Dr. Singhโ€™s global academic footprint is evident through her contributions to top-tier conferences including SIAM LA24 in Paris ๐ŸŒ. Her technical fluency in Python, MATLAB, and R, combined with a strong foundation in teaching, adds to her multifaceted academic persona ๐Ÿ’ป๐Ÿ“š. Guided by eminent mentors and driven by curiosity, she stands as a dynamic force in applied mathematics, poised to shape the future of quantitative sciences ๐Ÿ”๐Ÿš€.

Professional Profileย 

Google Scholar
Scopus Profile

๐Ÿ“˜ Education

Dr. Sarishti Singhโ€™s academic journey reflects her unwavering commitment to mathematical sciences. She earned her Ph.D. in Mathematics from the esteemed Indian Institute of Technology Kharagpur ๐ŸŽ“, where she specialized in interval matrices under the mentorship of Prof. Geetanjali Panda. Prior to that, she completed her Masterโ€™s and Bachelorโ€™s degrees in Mathematics from Panjab University, Chandigarh ๐Ÿงฎ, solidifying a strong theoretical foundation. Her academic brilliance is evident through her 8.84 CGPA in Ph.D. coursework and consistently high scores throughout her education. From school achievements to advanced research training, Dr. Singh has demonstrated exceptional focus and dedication ๐Ÿ“š, making her a standout figure in the mathematical community.

Professional Experience

Dr. Singh brings a wealth of research and teaching experience from IIT Kharagpur ๐Ÿซ. She served as a Senior Research Fellow from 2021 to 2025 and as a Junior Research Fellow from 2019 to 2021, actively contributing to academic research and mentoring undergraduate students as a Teaching Assistant ๐Ÿง‘โ€๐Ÿซ. Her roles have equipped her with deep insights into both theoretical and applied mathematics, as well as pedagogical experience in guiding young minds. Her consistent engagement with faculty and students reflects her strong communication skills and leadership in collaborative environments ๐Ÿค. These professional experiences underscore her versatility and commitment to advancing mathematical science on both research and academic fronts.

๐Ÿ”ฌ Research Interest

Dr. Singhโ€™s research is grounded in the theory and application of interval matricesโ€”a robust framework for modeling uncertainty in real-world data ๐Ÿ’ก. Her work explores generalized eigenvalue problems, singular value decomposition, and solution bounds for overdetermined systems using interval analysis ๐Ÿ”Ž. These pursuits have not only advanced mathematical understanding but also offer powerful tools for computational modeling, portfolio optimization, and decision-making under imprecision. Dr. Singh is particularly focused on creating methodologies that bridge abstract mathematics with tangible outcomes, making her work relevant across fields like finance, engineering, and data science ๐Ÿ“ˆ. Her passion lies in decoding complex systems through structured uncertainty and insightful computations.

๐Ÿ† Awards and Honors

Dr. Sarishti Singh has garnered distinguished accolades that celebrate her scholarly excellence ๐Ÿ…. She is a recipient of the highly competitive UGC Junior Research Fellowship, awarded by the Ministry of Education, Government of India ๐ŸŽ–๏ธ. Additionally, she cleared the Graduate Aptitude Test in Engineering (GATE 2019) with an impressive All India Rank of 44, reflecting her academic prowess ๐Ÿง . Her successful qualification in UGC-NET (JRF, December 2019) further emphasizes her research aptitude and national standing. These honors have not only supported her academic journey but also recognize her as one of the most promising young minds in mathematical research ๐Ÿ“œ.

๐Ÿงพ Conclusion

In sum, Dr. Sarishti Singh stands as a compelling exemplar of mathematical excellence, innovation, and scholarly dedication ๐ŸŒŸ. Her impressive educational credentials, dynamic professional journey, and research breakthroughs in interval analysis illustrate a scholar who is both technically proficient and intellectually curious ๐Ÿ”ฌโœจ. With prestigious honors and international academic engagements, she continues to contribute to high-impact mathematical discourse and applications. Dr. Singhโ€™s trajectory suggests not just academic brilliance, but also leadership potential in shaping the future of applied mathematics ๐Ÿงญ. Her fusion of theory and practice, paired with a passion for learning, makes her exceptionally deserving of recognition such as the Best Researcher Award ๐Ÿ†.

Publications Top Notes

๐Ÿ”น Generalized Eigenvalue Problem for Interval Matrices
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2023
๐Ÿ“– Journal: Archiv der Mathematik, 121(3), 267โ€“278
๐Ÿ” Citations: 5
๐Ÿงฉ Focus: Explores eigenvalue computation within uncertainty models using interval matrices.


๐Ÿ”น SVD Enclosure of a Class of Interval Matrices
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2024
๐Ÿ“– Journal: Information Sciences, 666, Article 120386
๐Ÿ” Citations: 4
๐Ÿ” Insight: Enhancing accuracy of singular value bounds under parametric uncertainty.


๐Ÿ”น Bounding the Solution Set of Overdetermined System of Interval Linear Equations
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2025
๐Ÿ“– Journal: Bulletin of the Iranian Mathematical Society, 51(2), 23
๐Ÿ” Citations: 1
๐Ÿ“ Contribution: Provides tight bounds for inconsistent interval linear systems.


๐Ÿ”น On the Sensitivity of Some Portfolio Optimization Models Using Interval Analysis
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2025
๐Ÿ“– Journal: OPSEARCH, 62(1), 77โ€“103
๐Ÿ” Citations: 1
๐Ÿ’ผ Application: Examines how interval uncertainty affects financial portfolio strategies.


๐Ÿ”น Estimation of Lower Bound for the Smallest Singular Value Enclosure of Interval Matrices
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2024
๐Ÿ“– Journal: Journal of Applied Mathematics and Computing, 70(6), 5543โ€“5556
๐Ÿ” Citations: 1
๐Ÿ”ง Result: Delivers techniques for computing robust singular value bounds.


๐Ÿ”น Singular Value Decomposition of Matrices with Uncertain Parameters
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2022
๐Ÿ“– Conference: INCOFT โ€“ International Conference on Futuristic Technologies
๐Ÿ” Citations: 1
โš™๏ธ Scope: Applying SVD to real-world systems with vague or variable inputs.


๐Ÿ”น Eigenvalue Bounds and Perron-Frobenius Theory for Nonnegative or Positive Interval Matrices
Authors: S. Singh, G. Panda
๐Ÿ“… Year: 2025
๐Ÿ“– Journal: Applied Mathematics and Computation, 495, Article 129329
๐Ÿ“Š Theory: Extends classical eigenvalue theory to handle interval matrix positivity.