Amirreza Masoodi | Computational Modeling | Best Researcher Award

Assist. Prof. Dr. Amirreza Masoodi | Computational Modeling | Best Researcher AwardĀ Ā šŸ†

Assistant Professor at Ferdowsi University of Mashhad, Iran.

Dr. Amir R. Masoodi is an accomplished Assistant Professor in Structural Engineering at Ferdowsi University of Mashhad, Iran. His research spans structural stability, nonlinear vibration, composite materials, and advanced computational methods. With extensive academic qualifications and a strong publication record, he has contributed significantly to structural engineering and materials science. Dr. Masoodi’s work includes innovative applications of finite element methods and multiscale analysis, with impactful publications in high-quality international journals. He has also received multiple prestigious awards, highlighting his expertise and leadership in the field.

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Education šŸŽ“:

Dr. Masoodi holds a Ph.D. in Structural Engineering (Applied Mechanics) from Ferdowsi University of Mashhad, where he specialized in nonlinear finite element analysis of composite shells, graduating with a stellar GPA of 19.41/20. He completed his M.Sc. in Structural Engineering (Stability of Structures) from the same institution, focusing on exact stiffness matrix development for non-prismatic FG beam-columns (GPA: 18.45/20). His academic foundation was laid during his B.Sc. in Civil Engineering at Ferdowsi University, graduating with a GPA of 17.60/20. His education reflects a profound commitment to computational mechanics, stability, and structural dynamics.

Work Experience šŸ’¼:

Dr. Masoodi serves as the Director of Physical Resources at Ferdowsi University, blending academic and administrative excellence. He leads engineering projects as the CEO of Pardis Sazeh Manshour Hashtom and acts as a Structural Counselor for Mashhad Electric Energy Distribution Co. His tenure includes roles as an educational supervisor and assistant to the Vice Chancellor for Finance and Administration. Noteworthy projects include designing LSF structures, industrial warehouses, and retrofitting buildings. His professional journey demonstrates a seamless integration of theory and practice, fostering impactful engineering solutions.

Awards and Honors šŸ†

Dr. Masoodi’s achievements include recognition as a Distinguished Lecturer by Sadjad University of Technology (2019) and as an Elite Ph.D. Student by the National Elite Foundation of Iran (2016-2018). He was honored as the Top Researcher and Top Ph.D. Student by Ferdowsi University and the Civil Engineering Department. His journey began with a remarkable ranking in the top 0.4% of the B.Sc. entrance exam among 250,000 participants. These accolades underscore his dedication to academic and research excellence.

Research Interests:

Dr. Masoodi’s research encompasses the stability and dynamics of structures, nonlinear vibration, and soil-structure interaction. He is particularly intrigued by composite materials, FGMs, and CNT-reinforced structures. His expertise extends to computational mechanics, multiscale analysis, and the development of finite elements for beams, shells, and other structural components. His innovative work in thermal and mechanical analysis bridges advanced theoretical frameworks with practical engineering applications.

šŸ“š PublicationsĀ 

  • Vibration of FG-CNT and FG-GNP Sandwich Composite Coupled Conical-Cylindrical-Conical Shell
    • Authors: E. Sobhani, A.R. Masoodi, A. Ahmadi-Pari
    • Citations: 84
    • Year: 2021
  • Free vibration analysis of functionally graded hybrid matrix/fiber nanocomposite conical shells using multiscale method
    • Authors: M. Rezaiee-Pajand, E. Sobhani, A.R. Masoodi
    • Citations: 77
    • Year: 2020
  • Static analysis of functionally graded non-prismatic sandwich beams
    • Authors: M. Rezaiee-Pajand, A.R. Masoodi, M. Mokhtari
    • Citations: 68
    • Year: 2018
  • Nonlinear analysis of FG-sandwich plates and shells
    • Authors: M. Rezaiee-Pajand, E. Arabi, A.R. Masoodi
    • Citations: 67
    • Year: 2019
  • Agglomerated impact of CNT vs. GNP nanofillers on hybridization of polymer matrix for vibration of coupled hemispherical-conical-conical shells
    • Authors: E. Sobhani, A.R. Masoodi, O. Civalek, A.R. Ahmadi-Pari
    • Citations: 62
    • Year: 2021
  • Semi-analytical vibrational analysis of functionally graded carbon nanotubes coupled conical-conical shells
    • Authors: M. Rezaiee-Pajand, E. Sobhani, A.R. Masoodi
    • Citations: 59
    • Year: 2021
  • Exact natural frequencies and buckling load of functionally graded material tapered beam-columns considering semi-rigid connections
    • Authors: M. Rezaiee-Pajand, A.R. Masoodi
    • Citations: 57
    • Year: 2018
  • Natural frequency responses of hybrid polymer/carbon fiber/FG-GNP nanocomposites paraboloidal and hyperboloidal shells based on multiscale approaches
    • Authors: E. Sobhani, A.R. Masoodi
    • Citations: 48
    • Year: 2021
  • Multifunctional trace of various reinforcements on vibrations of three-phase nanocomposite combined hemispherical-cylindrical shells
    • Authors: E. Sobhani, R. Moradi-Dastjerdi, K. Behdinan, A.R. Masoodi
    • Citations: 45
    • Year: 2022
  • Natural frequency analysis of FG-GOP/polymer nanocomposite spheroid and ellipsoid doubly curved shells reinforced by transversely-isotropic carbon fibers
    • Authors: E. Sobhani, A.R. Masoodi, Ɩ. Civalek, M. Avcar
    • Citations: 42
    • Year: 2022

ConclusionĀ 

Dr. Amir R. Masoodi’s credentials, research achievements, and academic recognition position him as a strong candidate for the Best Researcher Award. His contributions to structural engineering and materials science are both innovative and impactful. While enhancing his global collaborations and securing competitive research funding would further solidify his profile, his current accomplishments and accolades make him highly deserving of this recognition.

 

 

Dr Tanmoy Bhattacharya | Computational Modeling | Best Researcher Award

Dr Tanmoy Bhattacharya | Ā External Professor | Best Researcher AwardšŸ†

External Professor at Santa Fe Institute,United StatesšŸŽ“

Tanmoy Bhattacharya is a distinguished scientist and researcher, currently holding the position of Scientist 5 and Laboratory Fellow at Los Alamos National Laboratory (LANL) and serving as an External Professor at the Santa Fe Institute. With a career spanning over three decades, Bhattacharya has made significant contributions to physics, computational biology, and microbiology. He is renowned for his interdisciplinary research, leadership in scientific collaborations, and innovations in computational tools that have had a lasting impact on the scientific community.

Professional ProfileĀ 

šŸ§‘ā€šŸŽ“EducationšŸŽ“

Tanmoy Bhattacharya’s academic journey began at the prestigious Indian Institute of Technology (IIT) Kharagpur, where he earned his B.Sc. in Physics in 1982, followed by an M.Sc. in Physics in 1984 under the guidance of Prof. Debabrata Basu. He then pursued his Ph.D. in Physics at the Tata Institute of Fundamental Research in Bombay, India, completing his dissertation on “Tree Unitarity Breakdown in Spontaneously Broken N=1 Supergravity Theories and Phenomenology of a Superlight Gravitino” in 1989 under the mentorship of Prof. Probir Roy.

šŸ’¼Work Experience

Bhattacharya’s professional career began with post-doctoral fellowships at Brookhaven National Laboratory, Centre de Energie Atomique in Saclay, and Los Alamos National Laboratory (LANL) between 1989 and 1995. He transitioned to a staff role at LANL in 1995 and has been a significant contributor to the laboratory ever since. His roles have evolved from Limited Term Staff Member to Scientist 5 and Laboratory Fellow, reflecting his growing expertise and leadership within the institution. Additionally, he served as a Professor at the Santa Fe Institute from 2006 to 2017 and continues to contribute as an External Professor.

šŸ› ļøSkills

Tanmoy Bhattacharya possesses a wide range of skills, including expertise in theoretical physics, computational biology, and microbiology. His technical skills extend to programming and software development, having contributed to the creation of tools like hyperTeX, the hyperref LaTeX package, and the development of the Apache webserver. His ability to lead large-scale research collaborations and his contributions to computational methods in high-energy physics and lattice quantum chromodynamics demonstrate his proficiency in both scientific research and technical innovation.

šŸ†Awards and Honors

Bhattacharya has been the recipient of numerous prestigious awards throughout his career. Some of his notable honors include the Los Alamos Distinguished Performance Award (1999, 2022), the Duke CHAVI-ID Outstanding Contributions Award (2015), and recognition as a Highly Cited Researcher by Clarivate Analytics in multiple years (2016, 2018, 2019, 2020). In 2020, he was named a Los Alamos Laboratory Fellow, a testament to his exceptional contributions to the scientific community. Most recently, in 2023, he was recognized among the top scientists in Biology and Biochemistry by research.com and was part of the LANL team that won an R&D 100 award for the ā€œCANDLEā€ project.

Ā Membership šŸ›ļø

Tanmoy Bhattacharya is a member of the American Physical Society, actively participating in divisions such as Computational Physics and Particles and Fields. He has held leadership roles in the US Lattice Quantum Chromodynamics (USQCD) collaboration, contributing to the strategic direction of high-energy physics. Additionally, he moderates the hep-lat arXiv and is involved in the International Society of Genetic Genealogy.

Research Focus šŸ”¬

Bhattacharya’s research focuses primarily on theoretical physics, computational biology, and microbiology. His work in lattice quantum chromodynamics (LQCD) has been pivotal in understanding fundamental particles and forces. In the field of computational biology, he has made significant contributions to HIV research and genetic analysis, as evidenced by his work with the HIV Genetics and HIV Database teams at LANL. His interdisciplinary approach allows him to tackle complex problems at the intersection of physics, biology, and computer science, making his research both innovative and impactful across multiple fields.

šŸ“–Publications :Ā 

  1. High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
    šŸ—“ļø 2024 | šŸ“° Scientific Reports | šŸ§ šŸ“ˆ
  2. The pion-nucleon sigma term from Lattice QCD
    šŸ—“ļø 2024 | šŸ“° Proceedings of Science | šŸ’„šŸ”¬
  3. Control variates for lattice field theory
    šŸ—“ļø 2024 | šŸ“° Physical Review D | šŸ“ŠšŸ§®
  4. Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features
    šŸ—“ļø 2024 | šŸ“° Proceedings of the National Academy of Sciences of the United States of America | šŸ¦ šŸ’‰
  5. Nucleon isovector axial form factors
    šŸ—“ļø 2024 | šŸ“° Physical Review D | āš›ļøšŸ“
  6. Deep learning uncertainty quantification for clinical text classification
    šŸ—“ļø 2024 | šŸ“° Journal of Biomedical Informatics | šŸ¤–šŸ“š
  7. Confronting the axial-vector form factor from lattice QCD with MINERvA antineutrino-proton data
    šŸ—“ļø 2023 | šŸ“° Physical Review D | šŸ§ŖšŸ”¬
  8. Quark chromoelectric dipole moment operator on the lattice
    šŸ—“ļø 2023 | šŸ“° Physical Review D | āš›ļøāš™ļø
  9. Electroweak box diagram contribution for pion and kaon decay from lattice QCD
    šŸ—“ļø 2023 | šŸ“° Physical Review D | šŸ“¦šŸ”‹
  10. nEDM from the theta-term and chromoEDM operators
    šŸ—“ļø 2023 | šŸ“° Proceedings of Science | šŸ§²šŸ“