Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

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Prof. Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

Professor at Northeastern University, United States

Saeed Amal  is an accomplished researcher in Artificial Intelligence (AI) with a strong focus on healthcare and precision medicine. Currently serving as an Assistant Research Professor at Northeastern University, his work integrates cutting-edge AI methodologies such as deep learning, machine learning, and generative AI to address complex challenges in healthcare. With extensive experience spanning academia and industry, Saeed’s contributions are shaping the future of personalized medicine and intelligent healthcare solutions.

Profile

ORCID

Education🎓

Saeed’s academic journey reflects his dedication to innovation and interdisciplinary learning. He earned his Ph.D. in Computer Science from Haifa University , where he conducted pioneering research on machine learning, information retrieval, and recommender systems. During his postdoctoral fellowships at Stanford University and Haifa University, he expanded his expertise in deep learning, natural language processing (NLP), and healthcare applications of AI. His educational background also includes a Master’s degree in Computer Science and a Bachelor’s degree in the same field from Technion – Israel Institute of Technology, graduating with honors.

Professional Experience💼

Saeed’s professional journey is marked by impactful roles across academia and industry . At Northeastern University, he leads research on precision medicine, leveraging AI to detect and prevent diseases. His industry tenure includes roles as a Data Scientist and Researcher at Cognitech Smart AI, Dynamic Yield, and General Motors, where he developed AI-driven solutions for healthcare, recommender systems, and NLP. Saeed also has experience as a software engineer at Attunity and AMDOCS, designing large-scale systems with a focus on quality and performance. These experiences underscore his ability to translate theoretical AI concepts into practical, scalable applications.

Research Interests🏥

Saeed’s research interests lie at the intersection of AI and healthcare . His work focuses on the use of AI for early disease detection, multi-modal data integration, and improving diagnostic accuracy. He specializes in deep learning, NLP, large language models (LLM), and image processing to create advanced systems for precision medicine. His vision is to revolutionize healthcare through technology, making diagnosis and treatment more efficient and accessible. Saeed also has significant interest in explainable AI and its application to improve the interpretability and trustworthiness of AI systems.

Awards and Recognitions🏆

Saeed has received several accolades for his contributions to AI and healthcare . He has been a keynote and plenary speaker at major international conferences, including the “3rd International Conference on AI, ML, Data Science, and Robotics” in Rome (2023) and the “Public Health and Healthcare Management Conference” in Dubai (2023). He also chairs special sessions, such as the “Artificial Intelligence and Multimodal Data for Improving Disease Care” at the International Conference on Medical and Health Sciences. These roles highlight his leadership and impact in the global AI community.

Publications📚

“Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams”

  • Year: 2025-01-21
  • DOI: 10.3390/biomedicines13020258

“Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome”

  • Year: 2024-12-25
  • DOI: 10.3390/v17010012

“Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma”

  • Year: 2024-11-25 (Preprint)
  • DOI: 10.20944/preprints202411.1804.v1

“Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset”

  • Year: 2024-11-21 (Preprint)
  • DOI: 10.20944/preprints202411.1615.v1

“Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset”

  • Year: 2024-08-12
  • DOI: 10.3390/diagnostics14161746

“Segmenting Tumor Gleason Pattern Using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset”

  • Year: 2024-06-28 (Preprint)
  • DOI: 10.20944/preprints202406.2019.v1

“Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset”

  • Year: 2024-06-18
  • DOI: 10.3390/bioengineering11060624

“Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology”

  • Year: 2024-06-14
  • DOI: 10.3390/cancers16122222

“Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application”

  • Year: 2023-11-30
  • DOI: 10.3390/cancers15235659

Conclusion🌟

Dr. Saeed Amal is a highly suitable candidate for the Research for Best Researcher Award. With a strong foundation in AI for healthcare, an impressive publication record, and a clear demonstration of leadership in the scientific community, he embodies the qualities of an outstanding researcher. Enhancing public engagement and focusing on broader societal impacts can further bolster his profile for such recognitions.

Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

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Mr. Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

Student at Universidad Politecnica de Madrid, Spain

Alfonso Lainez Muñiz is an ambitious student and researcher with a robust academic foundation in aerospace engineering. A graduate of the Universidad Politécnica de Madrid, Alfonso specializes in flow visualization and particle tracking techniques, bringing innovation to the field through cost-effective methodologies. He actively seeks to bridge gaps in advanced research with resourceful solutions, making science accessible and impactful.

Profile

ORCID

Education📚🎓

Alfonso holds both a Bachelor’s and Master’s degree in Aerospace Engineering from the Universidad Politécnica de Madrid. His rigorous training has provided him with expertise in aerodynamics, propulsion, and experimental techniques. His academic journey is marked by a passion for problem-solving and hands-on exploration, as evidenced by his innovative research endeavors.

Experience🚀🛠️

Alfonso has contributed to academic and research domains, emphasizing his practical knowledge. His consultancy work on optimizing velocity field measurement using MATLAB and 3D-printed particles highlights his proficiency in designing cost-efficient systems. Alfonso also holds membership in the Colegio Oficial Ingenieros Aeronáuticos de España, showcasing his engagement with professional communities.

Research Interests🌐🔬

Alfonso’s research interests lie at the intersection of aerospace engineering and flow visualization. He is dedicated to developing accessible tools for velocity field measurements, focusing on affordability, accuracy, and simplicity. His work integrates computational modeling, material science, and MATLAB programming to provide sustainable solutions for educational and investigative purposes.

Awards🏆🌟

Alfonso is currently nominated for the prestigious World Biophotonics Research Awards in the category of Best Researcher Award. This nomination recognizes his innovative approach to particle tracking methodologies, which offer an economical yet precise alternative to conventional flow measurement systems.

Publications📝📖

Alfonso’s notable publication is:

  • “Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization” (2024). Published in MDPI Aerospace, this paper is accessible via MDPI Aerospace.

It has been cited in studies focusing on cost-effective methods in flow visualization. Alfonso’s work is gaining recognition for its practical applications in university-level research.

Conclusion🚀🎉

Alfonso Lainez Muñiz’s application demonstrates significant potential for the Best Researcher Award, particularly due to the innovative nature and practical impact of his research. However, expanding the research output, achieving citations, and fostering broader engagement could strengthen his candidacy for future awards. His work aligns well with the goals of promoting accessible and impactful research, making him a commendable candidate for recognition.

 

Nurcan Dogan | Imaging Technology Development | Best Researcher Award

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Prof. Dr. Nurcan Dogan | Imaging Technology Development | Best Researcher Award

Professor at Istanbul Technical University, Turkey

Dr. Nurcan Dogan Bingolbali is a Professor in the Department of Physics Engineering at Istanbul Technical University, Türkiye. With an extensive career in academia and research, she has contributed significantly to fields such as medical imaging, nanomaterials, spectroscopy, and security-defense technologies. Her expertise spans from magnetic resonance imaging (MRI) to advanced spectroscopy techniques and applied nanotechnology for biomedical applications.

Profile

Scopus

Education 🎓

  • Ph.D. in Physics (Gebze Technical University, 2011): Developed techniques for materials analysis using NMR/NQR principles.
  • M.S. in Physics (Inonu University, 2005): Specialized in superconducting film fabrication.
  • B.S. in Physics (Inonu University, 2003): Laid the foundation for her expertise in physics and materials science.

Experience 🏫

  • Professor (Istanbul Technical University, 2023–Present)
  • Professor (Gebze Technical University, 2022–2023)
  • Associate Professor (Gebze Technical University, 2019–2022)
  • Postdoctoral research at the University of California, Berkeley (2012–2013), focusing on hyperpolarized Xe NMR and MRI.

Research Interests 🔬

Dr. Dogan’s research interests include:

  • Medical Imaging: Innovations in MRI and Magnetic Particle Imaging (MPI).
  • Nanomaterials: Designing magnetic nanoparticles for biomedical and industrial applications.
  • Spectroscopy: Expertise in NMR, UV, FT-IR, and Raman techniques.
  • Applied Research: Developing magnetic sensors and designing superconducting magnets.

Awards 🏆

  • 6th GIV Entrepreneurship Awards (2018): Recognized for her innovative project.
  • Postdoctoral Research Scholarship (TUBITAK, 2013): Supported research at UC Berkeley.
  • Erasmus Exchange Program for Ph.D. Studies (2010): Enhanced her international academic experience.

Publications 📚

Valorization and Repurposing of Citrus limetta Fruit Waste for Fabrication of Multifunctional AgNPs and Their Diverse Nanomedicinal Applications

  • Year: 2024
  • Citations: 3

ZnxFe3 –xO4 (0 x 1.0) Magnetic Nanoparticles Functionalized with Polyacrylic Acid (PAA)

  • Year: 2023
  • Citations: 1

Synthesis and characterization of biocompatible ZnFe2O4 nanoparticles for magnetic particle imaging (MPI)

  • Year: 2023
  • Citations: 8

Structural, Morphological, and Magnetic Characterization of Iron Oxide Nanoparticles Synthesized at Different Reaction Times via Thermal Decomposition Method

  • Year: 2023
  • Citations: 7

Manganese doped-iron oxide nanoparticles and their potential as tracer agents for magnetic particle imaging (MPI)

  • Year: 2022
  • Citations: 14

Fabrication of colloidal silver-peptide nanocomposites for bacterial wound healing

  • Year: 2022
  • Citations: 20

Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner

  • Year: 2022
  • Citations: 8

Synthesis and Characterization of Coated CoFe2O4 Nanoparticles with Biocompatible Compounds and In Vitro Toxicity Assessment on Glioma Cell Lines

  • Year: 2025
  • Citations: 0

Effect of Mg2+ doping and Mn2+ Co-doping on the structural, optical, and photocatalytic properties of CaTiO3 nanopowders prepared by the sol–gel method

  • Year: 2025
  • Citations: 0

A Systematic Look at Structural Diversity of Metal Phosphonates

  • Year: 2024
  • Citations: 0

Conclusion 🤝

Dr. Nurcan Dogan Bingolbali is an outstanding candidate with exemplary achievements in research and academia. Her contributions to nanotechnology, medical imaging, and spectroscopy underscore her dedication to advancing science. Addressing the areas for improvement could further solidify her candidacy and broaden her impact, making her a compelling nominee for the Best Researcher Award.

Getnet Molla | Molecular Imaging Techniques | Best Researcher Award

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Assist. Prof. Dr. Getnet Molla | Molecular Imaging Techniques | Best Researcher Award

Lecturer at Jigjiga University, Ethiopia

Dr. Getnet Molla Desta is a dedicated Ethiopian researcher and professional with a Doctor of Veterinary Medicine (DVM) degree and a Master of Science (MSc) in Molecular Biology from Addis Ababa University. Born in the West Gojjam Zone, Ethiopia, he is skilled in veterinary medicine and molecular biology techniques, reflecting his passion for animal health and genetic research.

Profile

Scopus

Education🎓

Dr. Getnet earned his MSc in Molecular Biology (2021–2023) from Addis Ababa University, graduating with distinction. He holds a DVM degree (2004–2009) from Jigjiga University, awarded with a CGPA of 3.81, and a strong academic foundation from Golem Elementary and Abay Minch Secondary Schools, where he excelled in national examinations.

Experience💼

Dr. Getnet has extensive laboratory experience, mastering molecular biology, immunology, microbiology, and histopathology techniques. He has conducted surgeries such as cesarean sections, spaying, and rumenotomies, showcasing practical expertise in animal care. His involvement in open-air veterinary clinics emphasizes his commitment to community service and fieldwork.

Research Interest🔬

Dr. Getnet’s research focuses on molecular biology techniques, veterinary clinical pathology, and bioinformatics. He is particularly interested in advancing diagnostic methods and understanding genetic mechanisms affecting animal health.

Awards🏅

Recognized as a graduate with distinction (2009) from Jigjiga University, Dr. Getnet’s academic excellence highlights his dedication to veterinary sciences and molecular biology.

Publications📖

Etiquette of the antibiotic decision-making process for surgical prophylaxis in Ethiopia: a triangulated ethnographic study

  • Authors: Molla, G.A.
  • Published in: Frontiers in Public Health
  • Year: 2023
  • Citations: 0

Prevalence and determinants of work-related injuries among small and medium-scale industry workers in Bahir Dar Town, northwest Ethiopia

  • Authors: Molla, G.A.
  • Published in: Annals of Occupational and Environmental Medicine
  • Year: 2015
  • Citations: 12

Conclusion🌟

Getnet Molla Desta demonstrates a well-rounded profile with an impressive academic record, extensive laboratory expertise, and practical veterinary skills. The combination of molecular biology knowledge and clinical experience positions him as a strong candidate for the Best Researcher Award. Addressing the areas of improvement, especially through publications and international collaborations, could further solidify his candidacy.

 

 

Andrea Rodriguez Herrera | Imaging Technology Development | Bioimaging Advances Award

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Dr.Andrea Rodriguez Herrera | Imaging Technology Development | Bioimaging Advances Award

Neurology resident at CMN November 20 ISSSTE CDMX, Mexico

Dr. Andrea Rodríguez Herrera is a dedicated neurology resident and researcher, affiliated with the National Autonomous University of Mexico (UNAM) and the prestigious ISSSTE’s CMN 20 de Noviembre. Her specialization spans neurophysiology and neuromuscular disorders, with a passion for clinical neurology, neuroscience education, and advancing treatment in neuromuscular diseases. Dr. Rodríguez has been a member of the International Parkinson and Movement Disorder Society since 2023 and actively contributes to various medical publications and societies.

Profile

Scopus

Strengths for the Award 🌟

Dr. Rodríguez has conducted significant research in neuromuscular diseases and cerebrovascular disorders, including her recent work on “Longitudinal Strain of the Left Atrium as a Predictor of Ischemic Stroke,” which has real potential to shape stroke prevention and patient care strategies.

Her clinical experience at ISSSTE’s CMN 20 de Noviembre and Ángeles Universidad Hospital, where she specializes in neurology and advanced neurophysiological procedures, complements her research work. This dual role as a researcher and clinician allows her to bring practical insights into her studies, making her research findings highly applicable and grounded in real-world challenges.

Her active participation in international conferences and memberships in societies like the American Academy of Neurology and the International Parkinson and Movement Disorder Society shows her engagement with the global research community. Her presence in these networks amplifies her research’s impact and promotes knowledge exchange across borders.

With several publications in prestigious journals such as Journal of the Neurological Sciences, her work has been cited in the field, demonstrating both its influence and relevance. Her recent studies address crucial topics such as SARS-CoV-2-related neurological impacts, which underscore her responsiveness to emerging medical challenges.

Education 🎓

Dr. Rodríguez Herrera has built an impressive educational foundation. She is currently a neurology resident at CMN 20 de Noviembre, ISSSTE, where she also conducts rotations in neuromuscular clinics and neurophysiology at the Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán. She completed her internal medicine residency at Universidad La Salle and holds a background enriched by numerous certifications in advanced medical and neurological training.

Experience 💼

With a strong clinical and academic background, Dr. Rodríguez serves as a Neurology Resident at CMN 20 de Noviembre, ISSSTE, and as a physician at the Brain & Spine Clinic, Ángeles Universidad Hospital in Mexico City. She also teaches neuroscience and has been part of editorial boards, reviewing articles for prominent journals in neurology and internal medicine. Her role extends to being a valuable reviewer for the Journal of Neurology, Neurological Science and Disorders, and Annals of Clinical Endocrinology and Metabolism, among others. Dr. Rodríguez’s clinical expertise includes specialized knowledge in transcranial doppler procedures and vascular neurology.

Research Interests 🔬

Dr. Rodríguez’s research interests focus on neuromuscular diseases, vascular neurology, and cerebrovascular disorders. Her recent studies include evaluating the “Longitudinal Strain of the Left Atrium as a Predictor of Ischemic Stroke” at Médica Sur Hospital, reflecting her commitment to advancing stroke prevention and neurological health. She is also a member of the RENAMEVASC research group, contributing to vascular disease insights.

Awards and Recognition 🏆

Dr. Rodríguez has been recognized for her dedication and expertise through her memberships in the American Academy of Neurology and the International Parkinson and Movement Disorder Society. She actively participates in international conferences, presenting posters and sharing case studies on neurodegenerative diseases, such as at the World Congress of Neurology. These accolades underscore her commitment to staying at the forefront of neurology.

Publications 📚

Dr. Rodríguez has published extensively in high-impact journals, contributing to our understanding of neurological and cerebrovascular conditions. Here are some of her notable publications:

Pioneering Augmented and Mixed Reality in Cranial Surgery: The First Latin American Experience

  • Authors: Ramírez Romero, A., Rodríguez Herrera, A.R., Sánchez Cuellar, J.F., Cevallos Delgado, R.E., Ochoa Martínez, E.E.
  • Journal: Brain Sciences
  • Year: 2024
  • Volume/Issue: 14(10)
  • Article Number: 1025
  • Citations: 0

Cerebral Hemodynamics in the Non-Alcoholic Fatty Liver

  • Authors: Vidal-González, D., López-Sánchez, G.N., Concha-Rebollar, L.A., Nader-Kawachi, J.A., Nuño-Lámbarri, N.
  • Journal: Annals of Hepatology
  • Year: 2020
  • Volume/Issue: 19(6)
  • Pages: 668–673
  • Citations: 3

Conclusion 💡

Dr. Andrea Rodríguez Herrera embodies the qualities of a top-tier researcher, bringing a unique blend of clinical insight, research acumen, and a commitment to advancing knowledge in neurology. Her contributions have made a tangible impact on the understanding and treatment of neuromuscular and cerebrovascular disorders, and her research is distinguished by its clinical relevance and responsiveness to contemporary health challenges. With continued growth in cross-disciplinary research and mentorship roles, Dr. Rodríguez is well-positioned to make even greater contributions to the medical community. She is a remarkable candidate for the Research for Best Researcher Award, and her achievements and potential make her an ideal nominee for this recognition.