Yanan Cao | Plant Systematics and Evolution | Best Researcher Award

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Dr. Yanan Cao | Plant Systematics and Evolution | Best Researcher Award

Prof Dr. Henan Agricultural University, India

Dr. Yanan Cao is a distinguished researcher in the College of Plant Protection at Henan Agricultural University. Specializing in Plant Systematics and Evolution, her work focuses on the identification and germplasm evaluation of medicinal plants, and the phylogeography of plant species endemic to East Asia or China. Dr. Cao holds a Ph.D. in Botany from Zhejiang University and has been a visiting scholar at the University of Illinois at Urbana-Champaign. She has led significant research projects, including a National Natural Science Foundation of China project on Dipelta. Her notable publications include studies on Dipelta, Euptelea, and Neolitsea sericea, showcasing her expertise in phylogenetics and evolutionary biology.

Professional profile

Scopus

🌿 Research Interests

Plant Systematics and EvolutionIdentification and Germplasm Evaluation of Medicinal PlantsPhylogeographics of Plant Species Endemic to East Asia or China

🎓 Education and Work Experience

PhD in Botany from Zhejiang University (2012.09-2017.06)Visiting Scholar at the University of Illinois at Urbana-Champaign (2016.10-2017.03)Bachelor’s in Pratacultural Science from Sichuan Agricultural University (2008.09-2012.06)

📚 Research Project

National Natural Science Foundation of China: Phylogeny and speciation of Dipelta, a Tertiary-relic genus endemic to China (2019.01-2021.12)

Publication📜

Cao Yanan; Wang Menghao; Ran Hang; Tian Bin; Liu Luxian; Wu Qingnan; Liu Yanyan; Wang Hongwei; Zhu Shanshan*** – Phylogenetic and molecular dating analyses of Chinese endemic genus Dipelta (Caprifoliaceae) based on nuclear RAD‐Seq and chloroplast genome data, Journal of Systematics and Evolution, 2024,

Cao Yanan; Zhu Shanshan; Chen Jun; Comes Hans Peter; Wang Ian; Chen Luyao; Sakaguchi Shota; Qiu Yingxiong* – Genomic insights into historical population dynamics, local adaptation, and climate change vulnerability of the East Asian Tertiary relict Euptelea (Eupteleaceae), Evolutionary Applications, 2020, 13(8): 2038-2055.

Cao Yanan; Wang Ian; Chen Luyao; Ding Yanqian; Liu Luxian; Qiu Yingxiong* – Inferring spatial patterns and drivers of population divergence of Neolitsea sericea (Lauraceae), based on molecular phylogeography and landscape genomics, Molecular Phylogenetics and Evolution, 2018, 126: 162-172.

Cao Yanan; Comes Hans Peter; Sakaguchi Shota; Chen Luyao; Qiu Yingxiong* – Evolution of East Asia’s Arcto-Tertiary relict Euptelea (Eupteleaceae) shaped by late Neogene vicariance and Quaternary climate change, BMC Evolutionary Biology, 2016, 16.

Ran Hang; Liu Yanyan; Wu Cui; Cao Yanan* – Phylogenetic and comparative analyses of complete chloroplast genomes of Chinese Viburnum and Sambucus (Adoxaceae), Plants, 2020, 9(9): 1143-1143.

Sauro Succi | Physics of Fluids | Best Researcher Award

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🌟Prof. Sauro Succi, Physics of Fluids, Best Researcher Award🏆

 Professor at Italian Institute of Technology, Italy

Dr. Sauro Succi, born in 1954, is an Italian senior research executive and principal investigator renowned for his contributions to computational physics. Holding a Ph.D. in Plasma Physics, he currently serves as a Senior Research Executive at the Italian Institute of Technology (IIT). Dr. Succi’s career spans decades, with expertise in mathematical modeling and simulations of complex systems, particularly in fluid dynamics and the interface of physics with material sciences and biology.

Author Metrics:

As a testament to his impact, Dr. Succi’s Google Scholar H-Index stands at 80, with over 35,000 citations. His comprehensive body of work and influence in the field are further emphasized by his,

Orcid Profile

Scopus Profile

Google Scholar Profile

Citations:

  • Total citations: 35,132
  • This represents the total number of times the researcher’s work has been cited by other researchers. It’s a measure of the impact and influence of their research in the academic community.

h-index:

  • h-index: 80
  • The h-index is a metric that attempts to measure both the productivity and impact of a researcher’s work. An h-index of 80 means that the researcher has published 80 papers, each of which has been cited at least 80 times.

i10-index:

  • i10-index: 365
  • The i10-index is a Google Scholar-specific metric that indicates how many of the researcher’s papers have been cited at least 10 times. In this case, the researcher has 365 papers that have been cited at least 10 times each.

Education:

Dr. Succi earned his Ph.D. in Plasma Physics from the Ecole Polytechnique Federale de Lausanne in 1987. Prior to that, he completed a specialty degree in Applied Neutronics from the University of Bologna in 1980 and received his degree in Nuclear Engineering (cum laude) from the same university in 1979.

Research Focus:

Dr. Succi’s research encompasses a diverse range of topics within mathematical modeling and computer simulations. His primary focus lies in the intricate understanding of complex states of flowing matter, addressing issues in kinetic theory, non-equilibrium statistical mechanics, fluid dynamics, and the interplay between quantum and relativistic fluids.

Professional Journey:

With a rich professional journey, Dr. Succi has held key roles in academia and research institutions. Notably, he served as the Director of Research at Istituto Applicazioni Calcolo, CNR Roma (1995-2018) and has an extensive background as a research scientist and industry sector coordinator at the IBM European Center for Scientific and Engineering Computing, Roma (1986-95).

Honors & Awards:

Dr. Succi’s contributions have earned him several honors, including an appointment as Honorary Professor at University College London (2022). He is featured in the Stanford database of the top 2 percent scientists worldwide and received the European Research Council Advanced Grant for “Computational Design of Porous mesoscale MATerials” in 2017.

Publications Top Noted & Contributions:

Dr. Succi’s prolific career is marked by over 550 publications in international scientific journals, covering a broad spectrum of scientific domains. Additionally, he has authored books and edited lecture notes, establishing himself as a leading figure in the scientific community.

“The lattice Boltzmann equation: for fluid dynamics and beyond”

  • Author: Sauro Succi
  • Publisher: Oxford University Press
  • Year: 2001
  • Citations: 7130

“The lattice Boltzmann equation: theory and applications”

  • Authors: R. Benzi, S. Succi, M. Vergassola
  • Journal: Physics Reports 222 (3), 145-197
  • Year: 1992
  • Citations: 2441

“Extended self-similarity in turbulent flows”

  • Authors: R. Benzi, S. Ciliberto, R. Tripiccione, C. Baudet, F. Massaioli, S. Succi
  • Journal: Physical Review E 48 (1), R29
  • Year: 1993
  • Citations: 1313

“Lattice gas dynamics with enhanced collisions”

  • Authors: F.J. Higuera, S. Succi, R. Benzi
  • Journal: Europhysics Letters 9 (4), 345
  • Year: 1989
  • Citations: 1167

“MHD-limits to plasma confinement”

  • Authors: F. Troyon, R. Gruber, H. Saurenmann, S. Semenzato, S. Succi
  • Journal: Plasma Physics and Controlled Fusion 26 (1A), 209

Research Timeline:

Dr. Succi’s research journey has been characterized by a dynamic trajectory, including diverse roles, fellowships, and appointments. His work has received recognition through numerous awards, prizes, and invitations to present keynote and plenary talks at international conferences.

Mahdi S. Hosseini | Computer Vision | Best Researcher Award

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🌟Assist Prof Dr. Mahdi S. Hosseini, Computer Vision, Best Researcher Award🏆

Assistant Professor at Concordia University, Canada

Professional Profiles:

Scopus Profile

Google Scholar Profile

Bio Summary:

Assist Prof Dr. Mahdi S. Hosseini is an accomplished researcher and academician specializing in the intersection of computer vision, computational pathology, and numerical methods. He holds a Ph.D. in Image Processing and Applied Mathematics from the University of Toronto, where he conducted groundbreaking research in Finite Difference Methods in Imaging and Inverse Problems. His contributions extend to Compressed Sensing, Image Processing, and Machine Learning.

Dr. Hosseini has received numerous accolades for his outstanding work, including the prestigious Gina Cody Research and Innovation Fellowship (2024-2025) and the NSERC-Discovery Grant (DG) Early Career Research (ECR) Award (April 2022 – March 2027). His research has been recognized with awards such as the MITACS-Elevate Postdoctoral Fellowship and the NSERC Postdoctoral Fellowship.

Education:

Assist Prof Dr. Mahdi S. Hosseini has an extensive educational background with a focus on image processing, applied mathematics, and electrical and computer engineering. Here is a summary of his academic journey:

Ph.D., University of Toronto, Toronto, ON, Canada (2016)

  • Field: Image Processing, Applied Mathematics, ECE Department
  • Thesis: Finite Difference Methods in Imaging and Inverse Problems
  • Advisor: Professor Konstantinos N. Plataniotis

M.Sc., University of Waterloo, Waterloo, ON, Canada (2010)

  • Field: Compressed Sensing, Image Processing, ECE Department
  • Advisors: Professor Ravi Mazumdar, Professor Oleg Michailovich

M.Sc., University of Tehran, Tehran, Iran (2007)

  • Field: Machine Learning, Pattern Recognition, ECE Department
  • Advisors: Professor Babak N. Araabi and Professor Hamid Soltanian-Zadeh

B.Sc., University of Tabriz, Tabriz, Iran (2004)

  • Field: Control/Communications Engineering, ECE Department
  • Honor: CUM LAUDE, WITH HONORS
  • Advisor: Professor Sohrab Khan-Mohammadi

Professional Experience:

Assist Prof Dr. Mahdi S. Hosseini has accumulated valuable professional experience in academia and research. Here is a summary of his previous professional roles:

Assistant Professor, University of New Brunswick: Fredericton, NB, Canada (October 2020 – May 2022)

  • Tenure-track position in the ECE Department

Multimedia Lab, University of Toronto: Toronto, ON, Canada (Jan 2016 – Sep 2020)

  • Postdoctoral Researcher (Supervised by Professor Konstantinos N. Plataniotis)
  • Research Topic: Theoretical Developments of Deep Learning and Computer Vision Algorithms

Huron Digital Pathology AI Research: Waterloo, ON, Canada (May 2015 – September 2020)

  • Research Scientist (Industrial Advisor: Dr. Savvas Damaskinos, CTO)
  • Research Topic: Digital Pathology and Computational Pathology

Singspiel Inc.: Toronto, ON, Canada (May 2013 – April 2015)

  • AI Research Consultant
  • Research Topic: Mono and polyphonic piano notes detection and recognition

These roles reflect Dr. Hosseini’s contributions to both academic institutions and industry, showcasing his expertise in areas such as deep learning, computer vision algorithms, digital pathology, and artificial intelligence research.

Honors and Awards:

Assist Prof Dr. Mahdi S. Hosseini has received numerous honors and awards throughout his academic and research career, recognizing his outstanding contributions and achievements. Here is a list of his notable honors and awards:

Gina Cody Research and Innovation Fellow: 2024-2025

NSERC-Discovery Grant (DG): Early Career Research (ECR) Award: April 2022 – March 2027

MITACS-Elevate Postdoctoral Fellowship: Ontario government research funding award, September 2019 – August 2021

NSERC Postdoctoral Fellowship: NSERC research funding award, June 2016 – May 2018

International Scanner Contest 2016: 13th European Digital Pathology Congress, Validated Versatility Award for designing image deblurring algorithms with Huron’s team, improving image quality for clinical and research applications

MITACS-Accelerate Research Internship: Research studentship award at Huron Digital Pathology, May 2015 – August 2015

Diploma of Teaching Higher Education (THE500): University of Toronto, 2014 – Completed a full semester graduate course

Ontario Center of Excellence (OCE) Internship: Research studentship award at Singspiel, January 2013 – August 2013

Graduate Research Scholarship Award: University of Toronto, 2010-2014

Graduate Research Scholarship Award: University of Waterloo, 2008-2010

Top 10% High-Scoring Reviewing Award: NeurIPS 2020 Conference on Neural Information Processing Systems

Top 5% Student Paper Award: European Signal Processing Conference (EUSIPCO) 2009, Glasgow, UK

Top 10 Student Paper Award: International Conference in Biometrics (ICB) 2007, Seoul, Korea

M.Sc. Full Scholarship Award: Awarded by the Iranian Ministry of Education to study at the University of Tehran

B.Sc. Student Graduation Award: 3rd rank in 120 undergraduate students in the 2004 convocation

B.Sc. Full Scholarship Award: Awarded by the Iranian Ministry of Education to study at the University of Tabriz

Research Interests:

Assist Prof Dr. Mahdi S. Hosseini has a diverse range of research interests spanning multiple domains. Here are his primary areas of focus:

Computer Vision:

  • Self-supervised learning
  • Deep metric learning
  • Lightweight architecture design
  • eXplainable deep training

Computational Pathology:

  • Cancer diagnostics
  • Foundational modeling
  • Biomarker discovery

Numerical Methods:

  • Numerical difference methods
  • Signal/image processing
  • Computational imaging
  • Convolutional filters

These research interests demonstrate Dr. Hosseini’s involvement in cutting-edge technologies and methodologies, particularly in the fields of computer vision, computational pathology, and numerical methods. His work in these areas contributes to advancements in fields crucial to medical diagnostics, imaging, and artificial intelligence.

Publications Top Noted & Contributions:

Focuslitenn: High efficiency focus quality assessment for digital pathology

  • Authors: Z Wang, MS Hosseini, A Miles, KN Plataniotis, Z Wang
  • Conference: International Conference on Medical Image Computing and Computer-Assisted (MICCAI), 2020
  • Citation Count: 14

On Transferability of Histological Tissue Labels in Computational Pathology

  • Authors: MS Hosseini, L Chan, Y Wang, D Hasan, C Rowsell, S Damaskinos, et al.
  • Conference: European Conference on Computer Vision (ECCV), 2020
  • Citation Count: 12

HistoKT: Cross Knowledge Transfer in Computational Pathology

  • Authors: R Zhang, J Zhu, S Yang, MS Hosseini, A Genovese, L Chen, C Rowsell, et al.
  • Conference: IEEE International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022
  • Citation Count: 11

Reconsidering CO2 Emissions from Computer Vision

  • Authors: A Fu, MS Hosseini, KN Plataniotis
  • Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  • Citation Count: 8

CONet: Channel Optimization for Convolutional Neural Networks

  • Authors: MS Hosseini, JS Zhang, Z Liu, A Fu, J Su, M Tuli, KN Plataniotis
  • Conference: ICCV2021 NeurArch, 2021
  • Citation Count: 7

 

Sepideh Khoee | Polymer Chemistry | Best Researcher Award

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🌟 Prof Dr. Sepideh Khoee, University of Tehran, Iran: Polymer Chemistry🏆

Professional Profiles:

Bio Summary:

Dr. Sepideh Khoee is a highly accomplished polymer chemist and professor at the University of Tehran, Iran. She earned her Ph.D. in polymer chemistry from Isfahan University of Technology in 2002, following an M.Sc. in organic chemistry and a B.Sc. in chemistry from Isfahan University. With a focus on nanotechnology and drug delivery, Dr. Khoee has made substantial contributions to her field, earning her international recognition and several prestigious awards.

Education:

  • Ph.D. in Polymer Chemistry, Isfahan University of Technology, 2002
  • M.Sc. in Organic Chemistry, Isfahan University, 1994
  • B.Sc. in Chemistry, Isfahan University, 1990

Research Focus:

  • Synthesis of micro/nanomotors
  • Synthesis of linear and branched copolymers
  • Synthesis of drug-loaded nanopolymers for drug delivery investigations

Professional Journey:

  • Professor, Department of Polymer Chemistry, University of Tehran (2013-present)
  • Visiting Associate Professor, Department of Materials Science and Engineering, Lehigh University, USA (2009-2010)
  • Associate Professor, Department of Polymer Chemistry, University of Tehran (2008-2013)
  • Assistant Professor, Department of Polymer Chemistry, University of Tehran (2003-2008)

Honors & Awards:

  • Maryam Mirzakhani Award at the 4th National Festival of Women and Science (2021)
  • COMSTECH Patent Award (2019)
  • Distinguished Researcher of Chemistry, University of Tehran Research Week (2018, 2015)
  • Outstanding Researcher, 7th Iran Nano Festival (NanoMatch, 2013)

Publications Top Noted & Contributions:

  • Author of several book chapters on nanotechnology and drug delivery
  • Notable works include chapters on medicinal plant-based terpenoids, reversible core–shell crosslinked micelles, and Janus nanoparticles in drug delivery

Title: “Use of NIR/NaBH4 Combinatorial Techniques for Simultaneous and High-Efficient Adsorption of Heavy Metal Ions from Contaminated Water by Chitosan/Au Janus Microdisks”

  • Journal: Surfaces and Interfaces
  • Publication Date: December 2023
  • DOI: 10.1016/j.surfin.2023.103801
  • Source: Crossref
  • Summary: This study explores the application of NIR (Near-Infrared) and NaBH4 combinatorial techniques for the simultaneous and efficient adsorption of heavy metal ions from contaminated water. The adsorption is facilitated by Chitosan/Au Janus Microdisks.

Title: “Magnetite‐Based Janus Nanoparticles, Their Synthesis and Biomedical Applications”

  • Journal: WIREs Nanomedicine and Nanobiotechnology
  • Publication Date: November 2023
  • DOI: 10.1002/wnan.1908
  • Source: Crossref
  • Summary: This article focuses on the synthesis of Magnetite-based Janus Nanoparticles and explores their potential biomedical applications.

Title: “Tuning the Motion Velocity of Enzyme-Driven Dextran/Polyacrylamide Janus Nanomotors by Incorporating the Thermo-Switchable PNIPAM Moieties in Their Structure”

  • Journal: European Polymer Journal
  • Publication Date: July 2023
  • DOI: 10.1016/j.eurpolymj.2023.112113
  • Source: Crossref
  • Summary: This research investigates the modulation of motion velocity in enzyme-driven Dextran/Polyacrylamide Janus Nanomotors through the incorporation of thermo-switchable PNIPAM moieties.

Title: “Dual-Drug Delivery by Anisotropic and Uniform Hybrid Nanostructures: A Comparative Study of the Function and Substrate–Drug Interaction Properties”

  • Journal: Pharmaceutics
  • Publication Date: April 11, 2023
  • DOI: 10.3390/pharmaceutics15041214
  • Source: Crossref
  • Summary: This study presents a comparative analysis of dual-drug delivery using anisotropic and uniform hybrid nanostructures, exploring their function and substrate-drug interaction properties.

Title: “The Simultaneous Role of Porphyrins’ H- and J- Aggregates and Host–Guest Chemistry on the Fabrication of Reversible Dextran-PMMA Polymersome”

  • Journal: Scientific Reports
  • Publication Date: December 2021
  • DOI: 10.1038/s41598-021-82256-7
  • Source: Crossref
  • Summary: This article explores the simultaneous roles of porphyrins’ H- and J-aggregates and host–guest chemistry in the fabrication of reversible Dextran-PMMA polymersomes.

These publications showcase Dr. Sepideh Khoee’s diverse research interests, spanning from environmental applications to biomedical nanotechnology and drug delivery. Her work reflects a multidisciplinary approach with a focus on innovative materials and techniques.

Author Metrics:

  • Holds a patent: “Synthesizing Nanocapsules Containing Reactive Amine” (US Patent 20,150,307,649)
  • Recognized for significant contributions to the field with awards such as the COMSTECH Patent Award and the Maryam Mirzakhani Award
  • Citations: 3,332 citations across 2,636 documents
  • Documents: 143
  • h-index: 36

Research Timeline:

  • 1996-2002: Ph.D. in polymer chemistry
  • 2003-2008: Assistant Professor, Department of Polymer Chemistry, University of Tehran
  • 2008-2013: Associate Professor, Department of Polymer Chemistry, University of Tehran
  • 2009-2010: Visiting Associate Professor, Lehigh University, USA
  • 2013-present: Professor, Department of Polymer Chemistry, University of Tehran

Dr. Khoee’s research journey reflects a commitment to advancing polymer chemistry, nanotechnology, and drug delivery, earning her accolades and recognition both nationally and internationally.

Shubham Sanjay Joshi | Additive Manufacturing

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 🏆Dr. Shubham Sanjay Joshi, 🎉 Congratulations on Your Best Researcher Award! 🏆leading Researcher in Additive Manufacturing

  • Dr. Shubham Sanjay Joshi, Brunel Centre for Advanced Solidification Technology, Brunel University London, United Kingdom 

🌟 Heartiest congratulations to Dr. Shubham Sanjay Joshi for being honored with the prestigious Best Researcher Award! 🏆 Your tireless dedication and exceptional contributions to the field of Additive and Advanced Manufacturing are truly inspiring. 🚀 Your achievements reflect your passion and commitment to advancing knowledge and innovation. 🌐 May this recognition be a testament to your continued success in your research journey! 🎉 Keep shining and making significant strides in your field! 👏👨‍🔬

Professional Profiles:
Summary:
  • Enthusiastic and inherently curious researcher.
  • Self-motivated with experience in Additive and Advanced Manufacturing, Mechanics, and Electron Microscopy.
  • Aspires for a research-oriented career in Additive Manufacturing and Circular Metals post-PhD.
Current Experience (PhD Candidate at Groupe de Physique des Matériaux, Rouen, France):
  • Investigating deformation mechanisms of LPBF Ni-Cr alloy at room temperature and high temperature (up to 900°C).
  • Studying fatigue and cyclic behavior of LPBF Ni-Cr alloy.
  • Examining the influence of recycling of powder on mechanical properties.
  • Post-deformation characterization using TEM.
  • Investigating precipitates and Short Range Order in as-built and heat-treated LPBF Ni-Cr alloys.
Education:
  • PhD Candidate, Groupe de Physique des Matériaux, University of Rouen, INSA Rouen, CNRS Lab, France (2020-2023).
  • MSc. in Physical Metallurgy & Materials, RWTH Aachen, Germany (2017-2020).
  • Bachelors in Metallurgical & Materials Engineering, National Institute of Technology, Jamshedpur, India (2013-2017).
Invited Seminars:
  • Lawrence Livermore National Laboratory, USA (Sept. 2022).
  • National group of Metal alloys for AM (April 2022).
  • University of Rouen (Dec 2022).
Skills:
  • Mechanical testing (Room/High temperature, Tensile, Fatigue).
  • Processing (LPBF of Scalmalloy®, INVAR, INCONEL).
  • Microscopy (SEM- ECCI, EDS, EBSD; TEM; XRD; Optical microscopy).
  • Software (ThermoCalc, FactSage, Igor PRO, Materialise MAGICS).
PhD Research:
  • Investigated strain hardening mechanisms of L-PBF Ni20Cr alloy.
  • Explored high-temperature tensile properties and microstructure of Ni20Cr alloy.
  • Quantified microstructural contribution to yield stress and strain hardening.
Research Focus:

Dr. Shubham Sanjay Joshi’s research primarily focuses on the field of Additive and Advanced Manufacturing, with specific expertise in the Laser Powder Bed Fusion (LPBF) process. His work involves investigating deformation mechanisms, fatigue behavior, and the influence of recycling on the mechanical properties of LPBF Ni-Cr alloy. Additionally, he explores the microstructure and precipitate formation in as-built and heat-treated LPBF Ni-Cr alloys.

Professional Journey:
  • PhD Candidate (Groupe de Physique des Matériaux, Rouen, France, 2020-2023):
    • Investigated deformation mechanisms of LPBF Ni-Cr alloy at varying temperatures.
    • Explored fatigue and cyclic behavior of LPBF Ni-Cr alloy.
    • Studied the impact of recycling of powder on mechanical properties.
    • Conducted post-deformation characterization using Transmission Electron Microscopy (TEM).
    • Investigated precipitates and Short Range Order in as-built and heat-treated LPBF Ni-Cr alloys.
  • Research Fellow (Brunel Centre for Advanced Solidification Technology, London, UK, Oct 2023-present):
    • Focused on the rejuvenation of fatigued metals in the context of Circular Metals.
    • Emphasized the physical metallurgy aspect for metallic components within a global health service system.
Honors & Awards:
  • French Society of Metallurgy and Materials Congress 2021:
    • Received the first prize award for the poster presentation on “Mechanical and microstructural disparities in Additively Manufactured and Cast Ni20Cr alloy.”
Publications & Contributions:

Dr. Joshi has made significant contributions to the field, publishing research findings in reputed journals and presenting at various conferences. Notable publications include:

  1. “On the origin of the strain hardening mechanisms of Ni20Cr alloy manufactured by laser powder bed fusion” – International Journal of Plasticity, April 2023.
  2. “Quantifying microstructural contribution to yield stress and strain hardening of Ni20Cr alloy manufactured by laser powder bed fusion with different volumetric energy densities” – Journal of Alloys and Compounds, September 2023.
  3. “Impact of laser powder bed fusion processing on the cyclic and fatigue properties of Ni20Cr alloy” – Materials Science & Engineering A, November 2023.
Research Timeline:
  • PhD Candidacy (Oct 2020-Sept 2023):
    • Investigated LPBF Ni-Cr alloy deformation mechanisms.
    • Explored fatigue and cyclic behavior.
    • Studied recycling effects on mechanical properties.
    • Conducted post-deformation TEM characterization.
    • Investigated precipitates and Short Range Order in LPBF Ni-Cr alloys.
  • Research Fellow (Oct 2023-present):
    • Focused on the rejuvenation of fatigued metals in Circular Metals.
    • Emphasized physical metallurgy for metallic components in global health service systems.
Additional Notes:
  • Dr. Joshi has presented his research at various international conferences, showcasing his expertise in the field.
  • He possesses a strong educational background, having pursued MSc. in Physical Metallurgy & Materials and a Bachelors in Metallurgical & Materials Engineering from renowned institutions.
  • His language proficiency includes English, Hindi, Marathi (Native/Bilingual), and elementary proficiency in German and French.