Mojtaba Lashgari | Geometry | Best Researcher Award

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Dr. Mojtaba Lashgari | Geometry | Best Researcher Award

Research fellow at University of Oxford, United Kingdom

Dr. Mojtaba Lashgari is an accomplished researcher in biomedical engineering and computer science, currently serving as a postdoctoral researcher at the University of Oxford. With a PhD from the University of Leeds and a Marie Curie Early-Stage Research Scholarship, his work bridges artificial intelligence, medical image analysis, and computational modeling. Dr. Lashgari has published extensively in top-tier journals such as Medical Image Analysis and IEEE Transactions on Image Processing, focusing on virtual imaging trials, cardiac MRI, and coronary vessel segmentation. He has presented his research at international conferences and played active roles in scientific committees and conference organization. His interdisciplinary expertise, from MRI physics to deep learning, underpins innovative solutions in healthcare technology. Through academic service, teaching, and high-impact collaborations, Dr. Lashgari exemplifies scientific excellence and leadership. His work is contributing to the future of personalized medicine and diagnostic imaging, making him a highly deserving candidate for the Best Researcher Award.

Professional Profile 

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Education

Dr. Mojtaba Lashgari’s educational background reflects a strong interdisciplinary foundation in engineering, biomedical sciences, and computational research. He earned his PhD in Computer Science from the University of Leeds in 2023, where he specialized in advanced medical image analysis and virtual imaging trials. Prior to this, he completed a Master of Science in Biomedical Engineering from Isfahan University of Medical Sciences in 2016, graduating as the top-ranked student in his cohort. His academic journey began with a Bachelor of Science in Electrical Engineering from Malek-Ashtar University of Technology in 2013, where he developed a solid base in electronics and signal processing. This unique blend of electrical, biomedical, and computer science education has equipped Dr. Lashgari with the analytical, technical, and problem-solving skills required for high-level research in medical technology and artificial intelligence. His academic achievements have been consistently marked by excellence, innovation, and a clear focus on impactful, real-world applications.

Professional Experience

Dr. Mojtaba Lashgari has accumulated rich and diverse professional experience across leading academic institutions and interdisciplinary research domains. Currently, he serves as a Postdoctoral Researcher in the Department of Engineering Science at the University of Oxford (2023–2026), where he is engaged in pioneering research in medical imaging and AI-driven healthcare solutions. Prior to this, he worked as a part-time Technical Engineer at the Institute of Transport Studies, University of Leeds, contributing to computational modeling projects. His research journey also includes a tenure as a Graduate Researcher at the Medical Image and Signal Processing Research Centre in Isfahan, Iran, where he deepened his expertise in biomedical image analysis. Throughout his career, Dr. Lashgari has been actively involved in teaching, academic service, and organizing scientific events. His roles have consistently demonstrated his capabilities in bridging engineering, medicine, and computational sciences, establishing him as a well-rounded researcher with both technical depth and collaborative breadth.

Research Interest

Dr. Mojtaba Lashgari’s research interests lie at the dynamic intersection of medical imaging, computational modeling, and artificial intelligence. He is particularly passionate about developing innovative solutions for medical image analysis, with a focus on MRI physics, diffusion-weighted imaging, and virtual imaging trials. His work encompasses both model-based and image-based methodologies, integrating techniques such as finite element analysis, inverse problems, and machine and deep learning algorithms to simulate and interpret complex biological systems. A key area of his research involves the creation of patient-specific in-silico models to improve diagnostic accuracy and procedural planning in cardiovascular medicine. Dr. Lashgari is also deeply involved in advancing domain generalization methods for coronary vessel segmentation, aiming to enhance clinical applicability and robustness across diverse imaging environments. His interdisciplinary approach strives to bridge engineering, biomedical science, and data science, contributing significantly to the future of precision medicine and computational healthcare.

Award and Honor

Dr. Mojtaba Lashgari has been recognized with several prestigious awards and honors that underscore his academic excellence and impactful research contributions. He was awarded the esteemed Marie Sklodowska-Curie Early-Stage Research Doctoral Scholarship in 2018, a testament to his potential in cutting-edge scientific innovation at the European level. In 2024, he received a partial scholarship to attend the Virtual Imaging Trial in Medicine (VITM) Summit at Duke University, USA, further highlighting his growing international recognition. His academic brilliance was also evident early in his career when he ranked first in his M.Sc. Biomedical Engineering class at Isfahan University of Medical Sciences in 2016. These honors reflect Dr. Lashgari’s dedication to advancing medical imaging technologies and his leadership within the global research community. His active involvement in scientific committees and organization of high-impact academic events also reinforces his role as an emerging thought leader in biomedical engineering and computational imaging science.

Conclusion

Dr. Mojtaba Lashgari stands out as a highly accomplished and forward-thinking researcher at the intersection of biomedical engineering, computer science, and medical image analysis. With a PhD from the University of Leeds and a current postdoctoral position at the University of Oxford, his academic journey reflects a deep commitment to scientific excellence. His contributions span advanced MRI simulations, deep learning for image segmentation, and virtual imaging trials, underscoring his role in shaping the future of computational medical diagnostics. Recognized with prestigious awards such as the Marie Curie Fellowship and actively engaged in academic leadership, Dr. Lashgari has proven himself a driving force in interdisciplinary research. His impactful publications, teaching roles, and organizational contributions further highlight his versatility and dedication. With a visionary approach to science and a growing international presence, Dr. Lashgari is well-positioned to make lasting contributions to healthcare technology and deserves strong consideration for the Best Researcher Award.

Publications Top Notes

  1. Title: A comparative study of new and current methods for dental micro-CT image denoising
    Authors: M Shahmoradi, M Lashgari, H Rabbani, J Qin, M Swain
    Year: 2016
    Citations: 29
    Source: Dentomaxillofacial Radiology, 45(3), 20150302

  2. Title: Missing surface estimation based on modified Tikhonov regularization: Application for destructed dental tissue
    Authors: M Lashgari, M Shahmoradi, H Rabbani, M Swain
    Year: 2018
    Citations: 16
    Source: IEEE Transactions on Image Processing, 27(5), 2433–2446

  3. Title: A fast and accurate dental micro-CT image denoising based on total variation modeling
    Authors: M Lashgari, H Rabbani, M Shahmorad, M Swain
    Year: 2015
    Citations: 7
    Source: 2015 IEEE Workshop on Signal Processing Systems (SiPS), pp. 1–5

  4. Title: Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI
    Authors: M Lashgari, N Ravikumar, I Teh, JR Li, DL Buckley, JE Schneider, …
    Year: 2022
    Citations: 4
    Source: Medical Image Analysis, 82, 102592

  5. Title: Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
    Authors: M Lashgari, RP Choudhury, A Banerjee
    Year: 2024
    Citations: 2
    Source: Frontiers in Cardiovascular Medicine, 11, 1398290

  6. Title: SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2025
    Citations: 1
    Source: Medical Image Analysis, 99, 103369

  7. Title: Reconstruction of Connected Digital Lines Based on Constrained Regularization
    Authors: M Lashgari, H Rabbani, G Plonka, I Selesnick
    Year: 2022
    Citations: 1
    Source: IEEE Transactions on Image Processing, 31, 5613–5628

  8. Title: Splitting and Merging for Active Contours: Plug-and-Play
    Authors: M Lashgari, A Banerjee, H Rabbani
    Year: 2025
    Source: Mathematics, 13(6), 991

  9. Title: Virtual Imaging Trial can Unveil the Relationship Between Intravascular Diffusivity and Intravoxel Incoherent Motion in MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2024
    Source: Proceedings Virtual Imaging Trials in Medicine 2024, 1, 146

  10. Title: An in silico imaging framework for microstructure-sensitive myocardial diffusion-weighted MRI
    Author: M Lashgari
    Year: 2023
    Source: PhD Thesis, University of Leeds

  11. Title: Myocardium numerical phantom at micro-scale: application in MRI simulation
    Authors: M Lashgari, N Ravikumar, I Teh, J Schneider, A Frangi
    Year: 2021
    Source: Book of Abstracts, ESMRMB 2021 Online, 38th Annual Scientific Meeting

 

Shahroud Azami | Geometry | Best Researcher Award

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Prof. Shahroud Azami | Geometry | Best Researcher Award

Associate Professor at Imam Khomeini international University, Iran

Prof. Shahroud Azami is an accomplished Iranian mathematician and Associate Professor at Imam Khomeini International University (IKIU). He holds a Ph.D. in Pure Mathematics from Amirkabir University of Technology, where his dissertation focused on “Ricci flow on nilpotent Lie groups.” Azami specializes in geometric flows, Finsler manifolds, Lie groups, and optimization on manifolds. His academic contributions include significant research in geometric analysis and the study of geometric solitons and vector fields. In addition to his research, he has extensive teaching experience, instructing both graduate and undergraduate students in advanced topics such as Riemannian and Finsler manifolds, differential geometry, and algebraic topology. Azami has held leadership roles as the Head of the Mathematics Department at IKIU and has published numerous journal papers and conference talks. His work plays a crucial role in advancing mathematical theory, and he is recognized for his leadership and dedication to the academic community.

Professional Profile 

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Education

Prof. Shahroud Azami earned his Ph.D. in Pure Mathematics from Amirkabir University of Technology in Tehran, Iran, in 2009. His dissertation, titled “Ricci flow on nilpotent Lie groups,” was supervised by Prof. Asadollah Razavi. Prior to his Ph.D., Azami completed his M.Sc. in Pure Mathematics from Sharif University of Technology in 2003, where he focused on “Geodesic conjugacy in two-step nilmanifolds” under the supervision of Prof. Hamid Reza Fanai. He began his academic journey with a B.Sc. in Mathematics from Shahid Rajaee Teacher Training University in 1999. His strong academic foundation has greatly influenced his subsequent research and professional achievements in the field of mathematics.

Professional Experience

Prof. Shahroud Azami is an Associate Professor at Imam Khomeini International University (IKIU) since 2021. He has held multiple roles, including Assistant Professor at IKIU from 2014 to 2021 and Head of the Mathematics Department since 2022. He also served as the Head of the Department from 2018 to 2020. Earlier in his career, Azami worked as an Assistant Professor at Islamic Azad University Parand Branch from 2008 to 2014. His extensive academic roles showcase his leadership and contribution to the institution’s growth.

Research Interest

Prof. Azami’s research interests primarily focus on geometric analysis and differential geometry. His areas of expertise include geometric flows, geometric solitons, gradient estimates on manifolds, and eigenvalues of geometric operators. He also explores the study of Finsler manifolds, Lie groups, Lie algebras, and optimization on manifolds. Azami’s work involves understanding the geometric properties of manifolds and applying them to real-world problems in mathematics, physics, and engineering. His research has advanced the understanding of geometry and topology, and he continues to make significant contributions to the field.

Award and Honor

Throughout his career, Prof. Shahroud Azami has earned recognition for his academic excellence and contributions to mathematics. He has received various awards and honors for his outstanding research and leadership in the field of mathematics. These include accolades for his research on geometric flows, manifold theory, and differential geometry. His work is highly respected in both academic and professional circles, and he has been invited to present at numerous international conferences. As an editorial board member and referee for various journals, Azami’s contributions extend beyond his research, impacting the broader mathematical community.

Conclusion

Prof. Shahroud Azami is a distinguished academic with a wealth of knowledge and expertise in the field of mathematics. His research in geometric analysis and differential geometry has made a profound impact on the academic community. As an educator, he has shaped the minds of many graduate and undergraduate students, providing them with the tools to explore advanced mathematical concepts. Azami’s leadership roles, publications, and recognition within the mathematical community further demonstrate his commitment to advancing the discipline. His dedication to both teaching and research ensures that he will continue to be a prominent figure in the field of mathematics for years to come.

Publications Top Noted

  • Li-Yau type estimation of a semilinear parabolic system along geometric flow

    • Authors: Y. Li, S. Bhattacharyya, S. Azami, S.K. Hui

    • Year: 2024

    • Citations: 8

    • Source: Journal of Inequalities and Applications 2024 (1), 131

  • Gradient Ricci Bourguignon solitons on perfect fluid space-times

    • Authors: S. Hajiaghasi, S. Azami

    • Year: 2024

    • Citations: 6

    • Source: Journal of Mahani Mathematical Research 13 (2), 1-12

  • Generalized Ricci solitons associated to perturbed canonical connection and perturbed Kobayashi–Nomizu connection on three-dimensional Lorentzian Lie groups

    • Author: S. Azami

    • Year: 2024

    • Citations: 3

    • Source: Afrika Matematika 35 (2), 36

  • Ricci solitons and Ricci bi-conformal vector fields on the Lie group ℍ2× ℝ

    • Authors: S. Azami, M. Jafari

    • Year: 2024

    • Citations: 3

    • Source: Reports on Mathematical Physics 93 (2), 231-239

  • First eigenvalues evolution for some geometric operators along the Yamabe flow

    • Authors: A. Abolarinwa, S. Azami

    • Year: 2024

    • Citations: 3

    • Source: Journal of Geometry 115 (1), 18

  • Cross curvature solitons of Lorentzian three-dimensional Lie groups

    • Authors: S. Azami, M. Jafari, A. Haseeb, A.A.H. Ahmadini

    • Year: 2024

    • Citations: 3

    • Source: Axioms 13 (4), 211

  • Ricci bi-conformal vector fields on Lorentzian four-dimensional generalized symmetric spaces

    • Authors: S. Azami, U.C. De

    • Year: 2024

    • Citations: 3

    • Source: Filomat 38 (4), 3157-3164

  • Ricci bi-conformal vector fields on Lorentzian Walker manifolds of low dimension

    • Authors: M. Sohrabpour, S. Azami

    • Year: 2023

    • Citations: 3

    • Source: Lobachevskii Journal of Mathematics 44 (12), 5437-5443

  • Generalized Ricci solitons on non-reductive four-dimensional homogeneous spaces

    • Authors: S. Azami, G. Fasihi-Ramandi, V. Pirhadi

    • Year: 2023

    • Citations: 3

    • Source: Journal of Nonlinear Mathematical Physics 30 (3), 1069-1093

  • Affine generalized Ricci solitons of three-dimensional Lorentzian Lie groups associated to Yano connection

    • Author: S. Azami

    • Year: 2023

    • Citations: 3

    • Source: Journal of Nonlinear Mathematical Physics 30 (2), 719-742

  • Harnack inequality for porous medium equations with a blow-up term along the Finsler-geometric flow

    • Author: S. Azami

    • Year: 2024

    • Source: Filomat 39 (1), 155-171

  • Riemann solitons on Egorov and Cahen-Wallach symmetric spaces

    • Authors: S. Azami, R. Bossly, A. Haseeb

    • Year: 2025

    • Source: AIMS Mathematics 10 (1), 1882-1899

  • SOME INEQUALITIES FOR EIGENVALUES OF AN ELLIPTIC DIFFERENTIAL OPERATOR

    • Authors: S. Azami, M. Zohrehvand, G. Fasihi-Ramandi

    • Year: 2025

    • Source: Journal of Mahani Mathematical Research Center 14 (1)

  • Ricci bi-conformal vector fields on non-reductive four-dimensional homogeneous spaces

    • Author: S.A. Mahin Sohrabpour

    • Year: 2024

    • Source: Jordan Journal of Mathematics and Statistics 17 (4), 569-583

  • Generalized Ricci-Bourguignon flow

    • Author: S. Azami

    • Year: 2024

    • Source: Carpathian Mathematical Publications 16 (2), 638-662

  • Diameter bound for compact -almost Ricci solitons

    • Authors: H. Faraji, S. Azami

    • Year: 2024

    • Source: Asian-European Journal of Mathematics 17 (12), 2450086

  • Riemann solitons on perfect fluid spacetimes in f(r, T)-gravity

    • Authors: S. Azami, M. Jafari

    • Year: 2025

    • Source: Rendiconti del Circolo Matematico di Palermo

  • Relativistic spacetimes admitting h-almost conformal ω-Ricci-Bourguignon solitons

    • Authors: S. Azami, U.C. De

    • Year: 2025

    • Source: International Journal of Geometric Methods in Modern Physics