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

 

Viktor Manahov | FinTech

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 🏆Dr. Viktor Manahov, 🎉  Heartiest Congratulations on Winning the Best Researcher Award! 👩‍🔬🌟

  • Dr. Viktor Manahov, University of York, United Kingdom: FinTech

Dr. Viktor Manahov 🎉, Heartiest congratulations on receiving the prestigious Best Researcher Award from ScienceFather the Eastern Finance Association, USA! 🏆 Your exceptional contribution to the field, particularly in high-frequency trading and cryptocurrency research, has been recognized as exemplary and groundbreaking. 🚀

This award is a testament to your unwavering dedication, innovative thinking, and outstanding research skills. Your work not only advances our understanding of financial markets but also sets a high standard for academic excellence. 📈

May this well-deserved recognition inspire you to continue making impactful contributions to the world of finance. 🌐 Your commitment to excellence truly shines, and we are proud to have you as a leader in our academic community. Once again, congratulations on this remarkable achievement! 🥳

Professional Profiles:
Bio Summary:
  • Dr. Viktor Manahov is a Reader in Finance at the University of York, with a focus on high-frequency trading, financial markets, and cryptocurrency. He holds a Ph.D. in Finance from Newcastle University and has an extensive background in teaching and research. Dr. Manahov has received numerous awards for his research contributions and actively engages in external activities, including serving as a Treasurer of the British Accounting and Finance Association Diversity Executive Board.
Education:
  • PhD in Finance, Newcastle University (2011-2014)
    • Title: ‘An investigation of the behavior of financial markets using agent-based computational models.’
    • Supervisors: Prof. Robert Hudson and Prof. Bartosz Gebka
  • MSc in Finance and Investment Management, University of Aberdeen (2009-2010)
    • Dissertation: ‘The UK banking industry beyond Basel II. An investigation into contemporary derivative issues.’
  • BA (Hons) in Business Studies, Open University (2004-2008)
Teaching Qualifications:
  • Certified Management and Business Educator (CMBE), The Chartered Association of Business Schools
  • Senior Fellow member of the Higher Education Academy, The Higher Education Academy
  • Newcastle Teaching Award, Newcastle University
Academic/Teaching Experience:
  • Reader in Finance, University of York (2022 – Present)
  • Senior Lecturer in Finance, University of York (2017 – 2022)
  • Lecturer in Finance, University of York (2014 – 2016)
  • Online tutor in Finance, University of Aberdeen (2018 – Present)
  • Teaching Fellow in Finance, Queen Mary University of London (2013 – 2014)
  • Teaching Assistant, Newcastle University (2011 – 2013)
  • Visiting Lecturer in Finance, University of Huddersfield (2015 – 2016)
  • External examiner, The London Institute of Banking and Finance (2015 – 2017)
  • External examiner, Regent’s University London (2017 – 2022)
  • Director of Study, London School of Commerce (2013 – 2021)
  • Subject Examiner, Association of Business Executives (2013 – 2015)

 

Publications Top Noted:
  • List of publications in reputable journals including Annals of Tourism Research, Annals of Operations Research, International Journal of Finance and Economics, Quantitative Finance, and more.
  • Citations: 217 citations from 197 documents.
  • Documents: 28 documents.
  • h-index: 9 (The h-index is a measure of an author’s productivity and citation impact; in this case, it is 9).
  1. “Stock market investment and different behavioral patterns: an exploratory study” – Review of Behavioral Finance, 2023.
  2. “The great crypto crash in September 2018: why did the cryptocurrency market collapse?” – Annals of Operations Research, 2023.
  3. “The rapid growth of cryptocurrencies: How profitable is trading in digital money?” – International Journal of Finance and Economics, 2023.
  4. “Cryptocurrency liquidity during extreme price movements: Is there a problem with virtual money?” – Commodities: Fundamental Theory of Futures, Forwards, and Derivatives Pricing, 2022.
  5. “Analysing emerging market returns with high-frequency data during the global financial crisis of 2007–2009” – European Journal of Finance, 2022.
  6. “High-frequency trading order cancellations and market quality: Is stricter regulation the answer?” – International Journal of Finance and Economics, 2021.
  7. “The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets” (with A. Urquhart) – International Review of Financial Analysis, 2021.
  8. “Cryptocurrency liquidity during extreme price movements: Is there a problem with virtual money?” – Quantitative Finance, 2021.
  9. “Stock market manipulation in an emerging market of Turkey: how do market participants select stocks for manipulation?” (with H.O. Ergün, A. Yalaman, H. Zhang) – Applied Economics Letters, 2021.
  10. “High-frequency trading from an evolutionary perspective: Financial markets as adaptive systems” (with R. Hudson, A. Urquhart) – International Journal of Finance and Economics, 2019.
Research Focus:
  • High-frequency trading,
  • financial markets,
  • cryptocurrency,
  • market efficiency,
  • behavioral finance,
  • artificial intelligence in forecasting.
Honors & Awards:
  • Best Paper Award by the Eastern Finance Association, USA (2016)
  • Various research grants and awards, including from the Department for Business, Energy and Industrial Strategy (BEIS), University of York Pump Priming Call, and more.
Research Timeline:
  • 2004-2008: Open University – Completed a BA (Hons) in Business Studies.
  • 2009-2010: University of Aberdeen – Completed an MSc in Finance and Investment Management, including a dissertation on derivative issues in the UK banking industry.
  • 2011-2014: Newcastle University – Pursued a PhD in Finance, focusing on the behavior of financial markets using agent-based computational models. Supervised by Prof. Robert Hudson and Prof. Bartosz Gebka.
  • 2013-2014: Teaching Assistant at Newcastle University.
  • 2014-2016: University of York – Joined as a Lecturer in Finance.
  • 2015-2016: Visiting Lecturer in Finance at the University of Huddersfield.
  • 2017-2022: University of York – Promoted to Senior Lecturer in Finance.
  • 2018-Present: University of Aberdeen – Engaged as an Online Tutor in Finance, teaching various postgraduate modules.
  • 2013-2015: Director of Study at London School of Commerce, supervising PhD students.
  • 2015-2017: External Examiner at The London Institute of Banking and Finance.
  • 2017-2022: External Examiner at Regent’s University London.
  • 2019-2021: Programme Leader of MSc Finance, Leadership and Management (online) at the University of York.
  • 2022-Present: Reader in Finance at the University of York.
  • Research Publications (2014-2024): Dr. Manahov has consistently contributed to reputable journals on topics such as cryptocurrency, high-frequency trading, market manipulation, and financial markets.
  • Invited Conference Keynote Speaker (2017-2023): Delivered keynote speeches at various international conferences on topics related to high-frequency trading modeling, regulatory issues, and behavioral finance.
  • Research Grants and Awards (2015-2023): Secured research funding from institutions such as The Department for Business, Energy and Industrial Strategy, The University of York Pump Priming Call, Engineering and Physical Sciences Research Council, etc.
  • External Engagements and Consultancy (2021-Present): Actively involved as the Lead Finance and Investment Project investigator for Yorkshire and Humber Climate Commission, and other roles.
  • Academic Services and Mentoring (2013-Present): Engaged in various editorial roles, mentoring colleagues, and serving as a viva examiner.
  • PhD/DBA Supervision (2015-Present): Successfully supervised several doctoral students on diverse research topics.