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

 

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.