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

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.

Dr. Mohassin Ahmad | Deep Learning | Best Researcher Award

Dr. Mohassin Ahmad | Deep Learning | Best Researcher Award 

Dr. Mohassin Ahmad, Guru Nanak Institutions, India

Dr. Mohassin Ahmad is an accomplished academic and researcher currently serving as an Assistant Professor in the Department of Electronics and Communication Engineering at Guru Nanak Institutions, Hyderabad, since September 2023. He earned his Ph.D. in Image Forensics from the National Institute of Technology Srinagar in 2024, following an M.Tech in Communication and Information Technology from the same institute and a Bachelor of Engineering degree in Electronics and Communication from the University of Kashmir. Dr. Ahmad has extensive teaching and research experience, including a previous tenure as Assistant Professor at NIT Jammu and Kashmir from 2013 to 2017. His research interests focus on digital image forensics, image tampering detection, and communication systems, with multiple publications in reputed international journals. He has contributed significantly to curriculum development and laboratory setup and is known for his dedication to student mentorship and academic excellence. Dr. Ahmad is also recognized for his Young Researcher Award for work in copy-move forgery detection algorithms. Fluent in English, Urdu, and Kashmiri, he combines strong technical expertise with effective communication and leadership skills.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Research and Academic Profile

Dr. Mohassin Ahmad has recently completed his PhD in Image Forensics (Electronics & Communication) from NIT Srinagar in 2024. His academic background is solid with a Master’s in Communication & Information Technology and a Bachelor’s in Electronics and Communication, showing a focused trajectory in communication technologies and electronics.

🎓 Education

  • PhD (2024) in Image Forensics (Electronics & Communication) — NIT Srinagar

  • M.Tech (2013) in Communication & Information Technology — NIT Srinagar (77.16%)

  • B.E (2010) in Electronics and Communication — University of Kashmir (79.3%)

💼 Work Experience

  • Assistant Professor, Guru Nanak Institutions, Hyderabad (ECE Dept.) — Since Sept 2023

  • Assistant Professor, Electronics & Communication Department, NIT Jammu & Kashmir — Sept 2013 to Aug 2017

    • Delivered lectures & coordinated courses

    • Established new labs & designed curriculum

    • Guided B.Tech & M.Tech research projects

    • Played key role in framing B.Tech & M.Tech curriculum

    • Mentored students with academic & personal support

🏆 Achievements & Awards

  • Young Researcher Award for paper:
    A comparative analysis of Copy-Move forgery detection algorithms”International Journal of Electronic Security and Digital Forensics, 2022

    • RSquarel score of 84, Award ID: RSL014

📚 Selected Research Publications

  • Detection and localization of image tampering with fused features — 2022

  • Comparative analysis of Copy-Move forgery detection algorithms — 2022

  • Novel image tamper detection using optimized CNN and firefly algorithm — 2021

  • Review on Digital Image Forgery Detection Approaches — 2021

  • FPGA implementation of convolution algorithms for image processing — 2019

Publication Top Notes:

Threats to medical diagnosis systems: analyzing targeted adversarial attacks in deep learning-based COVID-19 diagnosis

DS‐Net: Dual supervision neural network for image manipulation localization

A comparative analysis of copy-move forgery detection algorithms

Detection and localization of image tampering in digital images with fused features

A Comparative Analysis of Copy-Move Forgery Detection Algorithms

A novel image tamper detection approach by blending forensic tools and optimized CNN: Sealion customized firefly algorithm

Digital Image Forgery Detection Approaches: A Review