Siddhartha Kundu | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Siddhartha Kundu | Mathematics |  Best Researcher Award

Associate Professor at All India Institute Of Medical Sciences Delhi, India

Dr. Siddhartha Kundu is an Associate Professor in the Department of Biochemistry at the All India Institute of Medical Sciences (AIIMS), New Delhi. He holds an MBBS, MD, and PhD, and brings extensive expertise in clinical biochemistry and molecular diagnostics. With a strong background in academic research and teaching, Dr. Kundu has contributed to several national and international scientific publications. He is actively engaged in advancing biochemical research and medical education in India.

Profile:

Professional Experience:

With over 20 years of post-MD experience, Dr. Siddhartha Kundu is a medical doctor and biochemical scientist with recognized contributions in teaching, research, and academic leadership.

  • Teaching/Research: 18+ years

  • Advisory Roles: 2+ years

  • Leadership Positions: 2+ years

Research Interests:

  • Mathematical Modeling of macromolecules and complex biochemical systems (both physiological and pathological)

  • Bioinformatics & Algorithm Development for molecular biology applications

Technical Skills:

  • Programming Languages: PERL, C, Python

  • Data Analysis Platforms: R, Cygwin

  • Bioinformatics: Algorithm design, modeling, and simulation

Editorial Contributions:

  • Invited Reviewer for peer-reviewed journals such as:

    • Scientific Reports

    • Bioinformatics

    • PLOS ONE

    • Indian Journal of Medical Research (IJMR)

Research Output:

(A) Software and Servers Developed

  1. TemporalGSSA
    R package for time-step parameterization in biochemical networks.

  2. ReDirection
    R package for calculating dissociation constants and dominant reaction direction.

  3. ProTG4
    Web server predicting protein sequences from TG4-mapped peptide libraries.

  4. Fe2OG
    Web server predicting Fe(II)/2-oxoglutarate-dependent dioxygenase functions.

(B) Selected Peer-Reviewed Publications

(Author is sole and corresponding author in most; # = single author, * = corresponding)

  1. Kundu S#*. Scientific Reports (2024) – Dissociation constants in biochemical networks.

  2. Kundu S#*. Front Mol Biosci (2023) – ReDirection R-package.

  3. Kundu S#*. Math Biosci Eng (2022) – Ligand interactions as eigenvalue functions.

  4. Kundu S#*. J Bioinf Comp Biol (2022) – TemporalGSSA.

  5. Kundu S#*. Bioinform Biol Insights (2021) – ProTG4 server.

(Full publication list available upon request or via PubMed search)

(C) Conferences, Abstracts & Chapters

  • Conference Abstract: “Role of mathematical models in elucidating biochemical rules”, WGC Singapore (2018).

  • Book Reviews: National Medical Journal of India (2005), Indian Journal of History of Science (2006)

(D) Posters

Presented at:

  • BIOSPARKS 2018, JNU, New Delhi

  • 3rd International Plant Physiology Congress, JNU

  • 3rd International Conference on Integrative Biology, Valencia, Spain

Honors and Awards:

  • AIIMS Excellence in Research Award – 2021, 2022

Additional Information:

  • Dr. Kundu is a passionate educator and innovator in the application of mathematical and computational models to unravel biological complexity. His work bridges medical biochemistry, theoretical biology, and systems modeling.

Citation Metrics:

  • Total Citations: 133

  • Citations since 2020: 78

  • h-index: 7

  • h-index since 2020: 6

  • i10-index: 5

  • i10-index since 2020: 1

Publication Top Notes:

  • Insights into the molecular mechanism of apoptosis induced by TNF-α in mouse epidermal JB6-derived RT-101 cells
    N. Singh, N. Khanna, H. Sharma, S. Kundu, S. Azmi
    Biochemical and Biophysical Research Communications, 2002

  • Distribution and prediction of catalytic domains in 2-oxoglutarate dependent dioxygenases
    S. Kundu
    BMC Research Notes, 2012

  • Origin, evolution, and divergence of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    BMC Evolutionary Biology, 2018

  • In silico identification and taxonomic distribution of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    Frontiers in Plant Science, 2016

  • Unity in diversity: A systems approach to regulating plant cell physiology by 2-oxoglutarate-dependent dioxygenases
    S. Kundu
    Frontiers in Plant Science, 2015

  • Co-operative intermolecular kinetics of 2-oxoglutarate dependent dioxygenases may be essential for system-level regulation of plant cell physiology
    S. Kundu
    Frontiers in Plant Science, 2015

  • Insights into the mechanism(s) of digestion of crystalline cellulose by plant class C GH9 endoglucanases
    S. Kundu
    Journal of Molecular Modeling, 2019

  • Stochastic modelling suggests that an elevated superoxide anion-hydrogen peroxide ratio can drive extravascular phagocyte transmigration by lamellipodium formation
    S. Kundu
    Journal of Theoretical Biology, 2016

  • Mathematical modeling and stochastic simulations suggest that low-affinity peptides can bisect MHC-I mediated export of high-affinity peptides into “early”- and “late”-phases
    S. Kundu
    Heliyon, 2021

  • Modeling ligand-macromolecular interactions as eigenvalue-based transition-state dissociation constants may offer insights into biochemical function of the resulting complexes
    S. Kundu
    Mathematical Biosciences and Engineering, 2022

  • ReDirection: An R-package to compute the probable dissociation constant for every reaction of a user-defined biochemical network
    S. Kundu
    Frontiers in Molecular Biosciences, 2023

  • Fe(II)OG: An integrated HMM profile-based web server to predict and analyze putative non-haem iron (II)- and 2-oxoglutarate-dependent dioxygenase function in protein sequences
    S. Kundu
    BMC Research Notes, 2021

  • Mathematical basis of improved protein subfamily classification by a HMM-based sequence filter
    S. Kundu
    Mathematical Biosciences, 2017

  • A mathematically rigorous algorithm to define, compute and assess relevance of the probable dissociation constants in characterizing a biochemical network
    S. Kundu
    Scientific Reports, 2024

  • TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm output
    S. Kundu
    Journal of Bioinformatics and Computational Biology, 2022

 

Guangwu Wang | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Guangwu Wang | Mathematics | Best Researcher Award

Teacher Guangzhou University China

Dr. Wang Guangwu is a passionate mathematician and researcher at the School of Mathematics and Information Science, Guangzhou University, where he has served since 2017. With a strong foundation in mathematical physics, Dr. Wang’s work revolves around partial differential equations, particularly those arising in quantum and magnetic fluid mechanics. He is recognized for his theoretical depth and problem-solving abilities, demonstrated through multiple peer-reviewed publications and successful national research projects. His dedication to advancing mathematical understanding makes him a standout nominee for academic recognition.

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Research Gate

Scopus

🎓 Education

Dr. Wang Guangwu earned his Ph.D. in Basic Mathematics from the China Academy of Engineering Physics in July 2017. His doctoral research laid a solid groundwork in analytical methods for complex differential systems, particularly in the realm of mathematical physics. This rigorous training equipped him with the tools to address advanced equations in quantum and fluid dynamics, shaping his future academic path.

👨‍💼 Experience

Since completing his doctoral studies in 2017, Dr. Wang has been a valued faculty member at Guangzhou University, contributing to both teaching and research within the School of Mathematics and Information Science. He has taken a leading role in research projects, collaborated with national scholars, and mentored students in advanced mathematical theory and applications. His independent and team-based contributions underscore his versatility and commitment to mathematical sciences.

🔬 Research Interests

Dr. Wang’s research is deeply rooted in the theory and applications of partial differential equations (PDEs). His primary interests include:

  • 🌀 Quantum Fluid Mechanics Equations
  • 🧲 Magnetic Fluid Equations
  • 🧠 Landau-Lifshitz Equations
  • 🔢 Other PDEs in mathematical physics

His work targets complex dynamic systems and mathematical modeling, contributing to a better theoretical understanding of physical phenomena in fluids and magnetism.

🏆 Awards & Grants

Dr. Wang Guangwu was the Principal Investigator of a National Natural Science Foundation Youth Project, which he successfully led to completion. This competitive national-level grant is a testament to his research capabilities and innovation in mathematical physics. His continued efforts in mathematical modeling and differential systems make him a strong candidate for academic honors and awards.

📚 Publications Top Notes: 

Dr. Wang has authored over ten peer-reviewed articles in internationally recognized journals. His works focus on complex dynamics in PDEs, often cited for their originality and analytical depth. Some notable publications include:

“Global well-posedness of solutions to the 2D compressible quantum Navier–Stokes equations with damping”, Journal of Differential Equations, 2022. 🔗Link – Cited by 12 articles.

“Global existence and convergence of solutions to the quantum Navier–Stokes–Poisson equations”, Discrete and Continuous Dynamical Systems – Series B, 2021. 🔗Link – Cited by 8 articles.

“On the Cauchy problem for a compressible quantum magnetohydrodynamic model with damping”, Mathematical Methods in the Applied Sciences, 2020. 🔗Link – Cited by 6 articles.

“Global weak solutions to the quantum MHD equations with large initial data”, Science China Mathematics, 2019. 🔗Link – Cited by 10 articles.

Global weak solution to the degenerate quantum Navier‐Stokes‐Maxwell equations with damping term

A blowup criterion to the strong solution to the multi-dimensional Landau-Lifshitz-Gilbert equation

Global existence of smooth solutions for the incompressible Landau–Lifshitz–Gilbert flow with Dzyaloshinskii–Moriya interaction in two‐dimensional torus and ℝ

existence and blow-up of the solutions to the viscous quantum magnetohydrodynamic nematic liquid crystal model

Existence and uniqueness of the weak solution to the incompressible Navier-Stokes-Landau-Lifshitz model in 2-dimension

Seema SEEMA | Mathematics | Best Researcher Award

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Mrs. Seema SEEMA | Mathematics | Best Researcher Award

Research Scholar Christ University, Bengaluru, India, 560029. India

Ms. Seema is a dedicated researcher in the field of mathematics and computational seismology, currently working as a Senior Research Scholar in the Department of Science (Mathematics) at CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad. With a strong foundation in applied mathematics, she is driven by a passion to explore seismic wave propagation in smart and advanced materials such as piezomagnetic and piezoelectric structures. Her scholarly contributions focus on theoretical and computational analysis of wave mechanics, aiming to enhance the scientific understanding of the Earth’s physical behavior through mathematical models.

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Orcid

🎓 Education

Ms. Seema is currently pursuing an Executive Post Graduate Program in Data Science & AI at IIT Roorkee, expected to complete by February 2025. She is also completing her Ph.D. in Mathematics and Computing at CHRIST University, where her thesis focuses on Transference Characteristics of Seismic Surface Waves in Piezo-composite Layered Structures with Distinct Interfacial Conditions. She holds an M.Sc. in Mathematics (2014) and a B.Sc. (2012) from Maharishi Dayanand University, Rohtak, and completed her schooling with distinction, securing over 80% in both High School and Intermediate education under HBSE.

🧑‍🏫 Experience

Ms. Seema has experience both in academia and research. From June 2020 to May 2022, she worked as a Guest Faculty at CHRIST University, Delhi-NCR, teaching advanced mathematical subjects including Linear Algebra, Calculus, and Differential Equations with Python integration. Since June 2022, she has been serving as a Senior Research Scholar, contributing to the fields of theoretical and computational seismology. Her technical expertise extends to Python, SQL, LaTeX, Mathematica, and data analysis platforms.

🔬 Research Interests

Ms. Seema’s core research interests lie in Theoretical and Computational Seismology, focusing on wave propagation in smart and functional materials such as piezoelectric, piezomagnetic, and functionally graded piezoelectric materials (FGPM). She is particularly interested in surface and interface effects, rheological models, and flexoelectric coupling in seismic wave studies. Her work combines applied mathematics and physical modeling to analyze complex material interactions under various boundary and interface conditions.

🏆 Awards

Ms. Seema secured an impressive All India Rank 6 in the CSIR-NET examination, a prestigious national-level qualification for research and lectureship in India. Her doctoral thesis and multiple publications in SCI-indexed Q1 and Q2 journals further underscore her scientific merit and recognition in the research community.

📚 Publications Top Notes:

Ms. Seema has published extensively in peer-reviewed international journals. Below is a list of her notable SCI publications along with hyperlinks, journal name, year, and citation info (if available):

Seema & A. Singhal (2024). Theoretical investigation of SH wave transmission in magneto‐electro‐elastic structure having imperfect interface, Applied Physics A (Springer), Q2, IF: 2.5.

Seema & A. Singhal (2024). Nonlinear Surface Effects Study… in Orthotropic Piezoelectric Materials, Journal of Applied Mechanics (ASME), Q1, IF: 2.6.

Seema & A. Singhal (2024). Flexoelectric effect in Love-type waves for piezo-structure, ZAMM, Q2, IF: 2.3.

Seema & A. Singhal (2024). SH and Anti-plane SH waves in Piezoelectric Quasicrystal, Acta Mechanica (Springer), Q2, IF: 2.3.

Seema et al. (2024). Surface wave in flexoelectric plate with viscoelastic coating, Physica Scripta (IOP), Q2, IF: 2.6.

Seema & A. Singhal (2024). Interface Effects in Piezoelectric Quasicrystals, Acta Mechanica Sinica, Q1, IF: 3.8.

Seema & A. Singhal (2025). Wave velocity in flexoelectric piezoelectric AlN, J Braz. Soc. Mech. Sci. Eng., Q2, IF: 1.8.

Seema & A. Singhal (2024). Imperfect interfaces in cobalt ferrite plates, Discover Materials, Q2.

Seema et al. (2025). SH wave signals for nanosensor applications in PZT-2 and PZT-5H, Acta Mechanica, Q2, IF: 2.3.

Seema & A. Singhal (2025). Energy transmission in piezomagnetic tetrahedral laminate, Applied Physics A, Q2, IF: 2.5.

Shaohua Xu | Mathematics | Best Researcher Award

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Mr. Shaohua Xu | Mathematics | Best Researcher Award

PhD candidate Nankai University China

Shaohua Xu is a Ph.D. candidate in Statistics at Nankai University, China. With a strong foundation in statistical methodologies and robust experimental designs, he excels in advancing subsampling techniques and online control experiments. His work reflects a dedication to innovative solutions for complex statistical challenges.

Profile

Scopus

 

Education 🎓

  • Ph.D. in Statistics (2019–2025*, Advisor: Prof. Yongdao Zhou)
    • Nankai University, Tianjin, China
  • B.S. in Statistics (2015–2019, Advisor: Assoc. Prof. Benchong Li)
    • Xidian University, Xi’an, China

Experience 🛠️

Shaohua Xu has presented at prestigious national and international statistical conferences and collaborated with experts to address real-world challenges in statistical design and data analysis. He also contributes through teaching assistance and mentoring at Nankai University.

Research Interests 🔍

  • Robust Regression Design
  • Online Control Experiments
  • Subsampling Techniques for Large-Scale Data

Awards & Honors 🏆

  • 2024: Poster Award, International Chinese Statistical Association China Conference
  • 2023: Best Paper Award, 2nd International Workshop on Statistical Theory and Related Fields
  • 2023: Zhong Jiaqing Outstanding Paper Award, 24th Beijing-Tianjin-Hebei Young Scholars Symposium
  • 2023: Second Prize, Academic Symposium on Uniform Design, Chinese Mathematical Society
  • 2020 & 2022: Gongneng Scholarship, Nankai University
  • 2018: National Scholarship & SAS China Analytics Championship Top 40

Publications Top Notes:📚

Xu, Shaohua, Liu, S., & Zhou, Y. (2024). MODE: Minimax Optimal Deterministic Experiments for Causal Inference in the Presence of Covariates. Entropy, 26(12), 1023. Link

Xu, Shaohua & Zhou, Y. (2024). Robust control experiments for multivariate tests with covariates and network information. Under review in Statistica Sinica.

Xu, Shaohua & Zhou, Y. (2024). Minimax designs for partially linear models. Under review in Journal of Statistical Planning and Inference.

Yang, J., Xu, Shaohua, Yang, Z., Zhang, A., & Zhou, Y. (2024). Stable subsampling under model misspecification and dataset shift. Under review in ACM Transactions on Knowledge Discovery from Data.

Xu, Shaohua, Zhou, Y., & Zhou, Z. (2024). Minimax designs for misspecified linear models. Submitted to Annals of Statistics.