Dr. Cristian Dan Pavel | Deep Learning | Best Research Article Award

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Dr. Cristian Dan Pavel | Deep Learning | Best Research Article Award 

Dr. Cristian Dan Pavel | Deep Learning | University of Medicine and Pharmacy Grigore T. Popa | Romania

Dr. Cristian Dan Pavel is an accomplished Gastroenterology Specialist and an emerging clinical researcher with a strong academic and professional background in digestive medicine and biomedical sciences. Currently serving at the Dimitrie Castroian Municipal Hospital in Huși, Romania, he brings extensive expertise in hepatology, gastrointestinal imaging, and endoscopic diagnostics. Dr. Cristian Dan Pavel is pursuing his Ph.D. in Histology at the “Grigore T. Popa” University of Medicine and Pharmacy, Iași, where his research focuses on the morphological and biochemical mechanisms underlying gastrointestinal and hepatic disorders. His doctoral work, under the supervision of Prof. Dr. Carmen Zamfir, integrates histological imaging and oxidative stress modeling, bridging fundamental pathology with clinical application. He holds an M.Sc. in Gastroenterology from the University of South Wales, UK, where his thesis explored the risk of hepatocellular carcinoma in patients with chronic hepatitis C treated with direct-acting antivirals. His academic training also includes a postgraduate course in gastroenterology and a Medical Doctor (MD) degree from the same Romanian institution. Professionally, Dr. Cristian Dan Pavel’s clinical journey spans roles as Resident Doctor in Gastroenterology at “Sf. Spiridon” County Clinical Emergency Hospital, Iași, and as a Specialist in Gastroenterology at Dimitrie Castroian Municipal Hospital, where he provides advanced endoscopic diagnostics and evidence-based patient management. His research interests lie in hepatology, antiviral therapy outcomes, oxidative stress in intestinal pathology, and biomedical imaging, often intersecting clinical medicine with computational and experimental analysis. Dr. Pavel has developed advanced research skills in gastrointestinal endoscopy, optical coherence tomography (OCT), histological data interpretation, and systematic review methodology, with publications indexed in Scopus and IEEE-linked medical journals. He has been an active participant and presenter at multiple national and international gastroenterology congresses, reflecting his commitment to scientific exchange and collaboration.

Professional Profiles: ORCID | Scopus 

Featured Publications 

  1. Pavel, C. D. (2024). Facial Anthropometric Assessment: Importance in Ophthalmology and Orthodontics. Citations: 33.

  2. Pavel, C. D. (2024). Variabilities in Retinal Hemodynamics Across the Menstrual Cycle in Healthy Women Identified Using Optical Coherence Tomography Angiography. Citations: 41.

  3. Pavel, C. D. (2023). Hybrid Deep Learning Models for Analyzing Histological Images of the Zebrafish Intestine Under Oxidative Stress. Citations: 29.

  4. Pavel, C. D. (2023). The Relevance of Experimental Models in Assessing the Impact of Oxidative Stress on Intestinal Pathology. Citations: 36.

  5. Pavel, C. D. (2022). Evaluating Fundoscopy as a Screening Tool for Optic Nerve Atrophy in Multiple Sclerosis: An Optical Coherence Tomography (OCT) Comparative Study. Citations: 42.

  6. Pavel, C. D. (2021). Vision and Life Quality: A Comparative Study on Students from Medical Universities. Citations: 27.

  7. Pavel, C. D. (2020). Computer Vision Syndrome: An Ophthalmic Pathology of the Modern Era. Citations: 39.

Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award

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Mr. Shiraz Kaderuppan | Deep Learning Awards | Best Researcher Award 

Mr. Shiraz Kaderuppan, Newcastle University, Singapore

Shiraz is a Singaporean educator and data analytics enthusiast with extensive experience in enhancing deep neural network (DNN) architectures for feature recognition and extraction in image processing applications. With a solid background in software development and embedded systems programming, he has successfully developed desktop applications that integrate advanced image processing algorithms. Currently serving as an Associate Lecturer at Republic Polytechnic, Shiraz teaches courses in Financial Technology, Business Intelligence, and Distributed Ledger Technology while conducting professional training programs for various organizations in Microsoft Office applications. He is also an accomplished application developer, utilizing machine learning and artificial intelligence for predictive analytics and data analysis. His passion for empowering others extends to teaching Mathematics and Science at secondary and junior college levels, demonstrating his commitment to education and skill development in the IT field.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: 

Shiraz S/O Kaderuppan stands out as a highly suitable candidate for the Best Researcher Award due to his extensive experience and impressive contributions to the field of data analytics and deep learning, particularly in image processing applications. His career reflects a strong commitment to advancing technology through research and education.

Education 🎓

  • Republic Polytechnic
    Diploma in Financial Technology, Business Intelligence & Distributed Ledger Technology
    Mar 2023 – Present

Work Experience 💼

  • Associate Lecturer
    Republic Polytechnic
    Mar 2023 – Present

    • Conducted courses for diploma students in Financial Technology, Business Intelligence, and DLT solutioning.
  • Corporate Trainer
    Self-Employed
    Jul 2014 – Present

    • Provided training for corporate clients and private individuals in advanced Microsoft Office applications and IBM products.
  • Application Developer
    Self-Employed
    May 2012 – Present

    • Developed desktop applications using C# .NET, interfacing with microcontrollers and implementing machine learning algorithms.
  • ML/AI Developer
    Self-Employed
    Sep 2008 – Present

    • Applied machine learning and deep learning algorithms for data analysis and forecasting.
  • Educator
    Self-Employed
    Aug 2010 – Present

    • Provided secondary school and JC-level tuition for Mathematics and Science subjects.
  • General Education Officer (Teacher)
    Ministry of Education
    Sep 2007 – Jan 2009

    • Taught Biology, Chemistry, and General Science at Tampines and Bedok North Secondary Schools.
  • Founder & Business Development Manager
    Self-Employed
    Jan 2005 – Jun 2007

    • Managed retail of scientific components globally and established a network of professional purchasers.

Achievements 🌟

  • Successfully conducted numerous training programs for companies and government bodies, focusing on advanced features of Microsoft Office for business intelligence and data analysis.
  • Developed and implemented desktop applications that effectively integrate hardware devices with advanced image processing algorithms.
  • Empowered project managers to utilize Microsoft Project for effective project planning and resource management.

Awards & Honors 🏆

  • Recognized for excellence in teaching and training methodologies at Republic Polytechnic and in corporate training programs.
  • Selected as a participant in the SkillsFuture for Digital Workplace Initiative for promoting digital literacy and skills enhancement in Singapore.

Publication Top Notes:

Θ-Net: A Deep Neural Network Architecture for the Resolution Enhancement of Phase-Modulated Optical Micrographs In Silico

O-Net: A Fast and Precise Deep-Learning Architecture for Computational Super-Resolved Phase-Modulated Optical Microscopy

Smart Nanoscopy: A Review of Computational Approaches to Achieve Super-Resolved Optical Microscopy