Sina Rezaei | Data Analysis | Best Researcher Award

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Mr. Sina Rezaei | Data Analysis | Best Researcher Award

University of Tehran | Iran

Publication Profile

Orcid

Biography of Mr. Sina Rezaei 📚

📚 Passionate Photogrammetry & 3D Reconstruction Specialist

Sina Rezaei is an innovative researcher currently pursuing his M.Sc. in Photogrammetry at the University of Tehran. With a strong foundation in Surveying Engineering, Sina’s academic journey focuses on the application of photogrammetry, 3D modeling, and remote sensing in the preservation of cultural heritage and geospatial analysis. His work is aimed at enhancing 3D reconstruction using spherical cameras and photogrammetry techniques, combining both scientific research and technology.

🎓 Education

Sina holds a B.Sc. in Surveying Engineering from the University of Tehran, where he achieved an impressive GPA of 3.72/4. He ranked among the top students in his class, showcasing his academic excellence. He is currently pursuing an M.Sc. in Photogrammetry at the same institution, with a focus on 3D Reconstruction of cultural heritage structures. His thesis examines the use of spherical cameras and photogrammetry techniques to improve accuracy in cultural preservation.

🔬 Research Interests

Sina’s research interests lie at the intersection of photogrammetry, computer vision, and 3D modeling. He is particularly interested in remote sensing, machine learning, and data analysis. His goal is to push the boundaries of image processing and optimization techniques to improve the accuracy and efficiency of 3D reconstruction methods, especially in the context of cultural heritage conservation and geospatial engineering.

🔧 Research & Work Experience

Sina has worked extensively in the field of photogrammetry and remote sensing. He is currently augmenting GNSS devices with visual positioning systems using photogrammetry solutions and implementing Structure from Motion (SFM) and Bundle Adjustment (BA) algorithms. In his Research Intern role at i3mainz, he focused on 3D reconstruction using spherical cameras, DSLR cameras, and laser scanners. Additionally, he contributed to the super-resolution of Sentinel-2 satellite data for urban sprawl analysis.

👨‍🏫 Teaching Experience

Sina has also gained valuable teaching experience as a Teaching Assistant for several courses at the University of Tehran, including Photogrammetric Data Acquisition, Data Collection from Images, and Technical English. His teaching role reflects his dedication to sharing his knowledge and passion for photogrammetry with the next generation of students.

🖥️ Selected Course Projects

During his academic career, Sina has worked on a variety of technical projects, including Photogrammetry Calculations, where he optimized stereo and aerial images using Python. He has also implemented optimization algorithms and image matching techniques using fuzzy logic in Soft Computing and worked on satellite image processing and radiometric corrections in his Remote Sensing Laboratory.

🏅 Honors & Awards

Sina has earned multiple honors during his academic journey, including being ranked 5th among 40 students in the College of Surveying and Geospatial Engineering at the University of Tehran. He is a proud member of the Iran’s National Elites Foundation, which granted him direct admission into the M.S. degree program. He has also earned certificates from Stanford University and DeepLearning.AI for completing courses in Supervised Machine Learning and Advanced Learning Algorithms.

📚 Top Notes Publications

Evaluation of Network Design and Solutions of Fisheye Camera Calibration for 3D Reconstruction

    • Authors: Sina Rezaei, Hossein Arefi

    • Journal: Sensors

    • Year: 2025

Quality Analysis of 3D Point Cloud Using Low-Cost Spherical Camera for Underpass Mapping

    • Authors: Sina Rezaei, Angelina Maier, Hossein Arefi

    • Journal: Sensors

    • Year: 2024

Vicenta Llorente Cortés | Social Impact | Best Researcher Award

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Dr. Vicenta Llorente Cortés | Social Impact | Best Researcher Award

Consejo Superior Investigaciones Cientificas, Spain

👨‍🎓Professional Profile

Scopus Profile

👩‍🔬 Early Academic Pursuits

Dr. Vicenta Llorente Cortés’s academic journey began with a Bachelor’s degree in Biology from Universitat Autònoma de Barcelona in 1989. She pursued advanced studies in Biochemistry, Molecular Biology, and Biomedicine, completing her degree in 1995. These early academic experiences laid the foundation for her future research career in the fields of cardiovascular science and pathology.

📚 Professional Endeavors and Research Focus

Dr. Llorente Cortés’s professional career has been deeply rooted in scientific research, particularly in the areas of cardiovascular diseases, metabolic disorders, and cellular pathophysiology. She has been a Scientist at the Consejo Superior de Investigaciones Científicas (CSIC) since 2006. Throughout her career, she has held senior research positions, including at the Hospital de Sant Pau and Fundación Investigación Cardiovascular. Her work in experimental pathology at CSIC focuses on understanding the molecular mechanisms of heart failure, cholesterol metabolism, and related diseases.

🧬 Contributions and Research Achievements

Dr. Llorente Cortés has made significant contributions to both basic and applied research, particularly in the field of cardiovascular and metabolic diseases. She has directed 14 doctoral theses, 6 final degree projects, and 10 final Master’s projects, illustrating her commitment to fostering the next generation of researchers. Her scientific output includes 120 international publications, with 36 (51.4%) ranking in the top 25% of the most cited worldwide. Dr. Llorente Cortés’s work has been pivotal in advancing the understanding of cardiovascular pathophysiology and identifying new therapeutic targets, such as vascular cholesterol inhibitors and biomarkers for dilated cardiomyopathy.

🌍 Impact and Influence in the Scientific Community

Dr. Llorente Cortés’s impact extends beyond her own research. She is an active evaluator for scientific projects in Spain, collaborating with organizations like the ANEP, the Junta de Andalucía, and the Spanish Society of Cardiology. Her international collaborations span countries like France, Italy, and the USA, with 30% of her publications being co-authored with foreign researchers. As a reviewer for prestigious journals and a member of several scientific committees, she continues to shape the direction of cardiovascular research globally. Furthermore, her leadership in competitive projects and participation in high-profile international symposiums underscores her influence.

📊 Academic Citations and Recognition

Dr. Llorente Cortés’s academic excellence is reflected in her high citation index. She has an H-index of 34, with a total of 3,150 citations, of which 2,195 are not her own. This high citation count and her consistent publication in top-tier journals (66.2% of her publications appear in the top 25% by cite score) highlight her substantial contribution to the field. Her leadership and expertise are recognized worldwide, as evidenced by her membership in various international scientific societies and networks.

🧪 Technical Skills and Expertise

Dr. Llorente Cortés possesses extensive technical expertise in molecular biology, cardiovascular research, and experimental pathology. Her skill set includes advanced techniques in cellular biology, molecular diagnostics, and the development of therapeutic strategies. She has been instrumental in translating scientific research into potential clinical applications, as demonstrated by her patents and collaborations with companies like Iproteos S.L.

🎓 Teaching Experience and Mentorship

Dr. Llorente Cortés has been an influential mentor throughout her career. In addition to guiding doctoral and postdoctoral researchers, she has contributed to numerous academic projects, fostering a productive environment for new scientists to thrive. She has directed numerous doctoral theses, and her ability to inspire and lead has made her a prominent figure in the academic community.

🔮 Legacy and Future Contributions

Dr. Llorente Cortés’s legacy is defined not only by her groundbreaking research but also by her significant role in mentoring the next generation of scientists and promoting international collaboration. Her future contributions are poised to focus on translational research, particularly in the areas of heart failure therapies and the development of novel diagnostic and therapeutic strategies for cardiovascular diseases. With the continued success of her research projects, including her involvement in innovative programs like InnoPau and CIBERINNOVA, Dr. Llorente Cortés will likely remain a key figure in the global scientific community, advancing both fundamental knowledge and clinical applications.

 

📖Top Noted Publications

PCSK9 Antibodies Treatment Specifically Enhances the Macrophage-specific Reverse Cholesterol Transport Pathway in Heterozygous Familial Hypercholesterolemia

Authors: Borràs, C., Canyelles, M., Girona, J., Blanco-Vaca, F., Escolà-Gil, J.C.

Journal: JACC: Basic to Translational Science

Year: 2024

Targeting LDL Aggregation Decreases Atherosclerotic Lipid Burden in a Humanized Mouse Model of Familial Hypercholesterolemia: Crucial Role of ApoB100 Conformational Stabilization

Authors: Benitez-Amaro, A., Garcia, E., La Chica Lhoëst, M.T., Escola-Gil, J.C., Llorente-Cortés, V.

Journal: Atherosclerosis

Year: 2024

sICAM-1 Concentrations Are Associated with Inflammation in Contralateral Carotid Plaque in Patients with Ischemic Stroke

Authors: Puig, N., Camps-Renom, P., Garcia, E., Llorente-Cortés, V., Benitez, S.

Journal: Clínica e Investigación en Arteriosclerosis

Year: 2024

Mechanisms Modulating Foam Cell Formation in the Arterial Intima: Exploring New Therapeutic Opportunities in Atherosclerosis

Authors: La Chica Lhoëst, M.T., Martinez, A., Claudi, L., Escolà-Gil, J.C., Llorente-Cortés, V.

Journal: Frontiers in Cardiovascular Medicine

Year: 2024

Transcriptional Analysis Reveals that the Intracellular Lipid Accumulation Impairs Gene Expression Profiles Involved in Insulin Response-associated Cardiac Functionality

Authors: Actis Dato, V., Paz, M.C., Rey, F.E., Chiabrando, G.A., Ceschin, D.G.

Journal: Scientific Reports

Year: 2023

Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

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Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors 💼

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites 📚

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding 💰

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023

Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

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Assist Prof Dr. Fateme Dehghani-Arani | Optimization Techniques | Best Researcher Award

Assist Prof Dr. Fateme Dehghani-Arani at University of Tehran, Iran

👨‍🎓 Professional Profile

🎓 Early Academic Pursuits

Dr. Fateme Dehghani-Arani completed her Ph.D. in Health Psychology at the University of Tehran (2013), focusing her thesis on developing an attachment-based intervention model for inpatient children and their mothers, achieving an impressive GPA of 19.84 out of 20. Her earlier academic achievements include a MSc. in Psychology (2008) with a thesis on the effectiveness of neurofeedback therapy for opiate-dependent patients (GPA: 19.60) and a B.A. in Clinical Psychology (2005).

🧑‍🏫 Professional Endeavors

Since 2016, Dr. Dehghani-Arani has served as an Assistant Professor in the Department of Psychology at the University of Tehran. Her teaching roles have extended to the Department of Radiotherapy and the University of Kashan. She has also been a researcher in the neuropsychological science laboratory at the International Center of Addiction Studies.

🌟 Contributions and Research Focus

Dr. Dehghani-Arani has held significant administrative roles, including the Head of the Counseling and Mental Health Center at her faculty and the Vice President for Student Services & Culture. Her research interests lie primarily in psychotherapy, particularly psychoanalytic and attachment-based approaches, and explore the interplay between personality, emotion, trauma, and health.

📊 Impact and Influence

Her research has contributed to understanding the psychological treatment of various conditions and has been recognized in national academic circles. She received a second-degree award for her M.A. thesis at the presidential drug control headquarters, highlighting her impactful work in the field.

📝 Academic Cites

Dr. Dehghani-Arani is an active member of the Psychology and Counseling Organization of Iran and the American Psychological Association (APA). She continues to engage with the academic community through workshops and training programs.

🔧 Technical Skills

Her training encompasses various methodologies, including psychophysics, statistical analysis using STATA, and comprehensive clinical trial design. She has experience with MATLAB software, enhancing her research capabilities.

👩‍🏫 Teaching Experience

Dr. Dehghani-Arani teaches a variety of courses, including:

  • Grief and Palliative Treatment in Health Psychology
  • Internship in Psychotherapy (Supervisor)
  • Abnormal Psychology
  • Theories in Personality
  • Mental Health
  • Fundamental Subjects in Psychology

🌈 Legacy and Future Contributions

As a prominent figure in the field of health psychology, Dr. Dehghani-Arani aims to further develop innovative therapeutic models and contribute to the understanding of psychological health in children and families. Her commitment to research and education positions her as a key player in advancing mental health practices in Iran and beyond.

 

📖 Top Noted Publications

Metaanalysis of Repetitive Transcranial Magnetic Stimulation (rTMS) Efficacy for OCD Treatment: The Impact of Stimulation Parameters, Symptom Subtype and rTMS-Induced …

Authors: F Dehghani-Arani, R Kazemi, AH Hallajian, S Sima, S Boutimaz, …
Journal: Journal of Clinical Medicine
Citation: 13 (18), 5358
Year: 2024

 The Relationship between Willingness to Help Others and Resilience with Post-Traumatic Growth in People with A History of Severe Covid-19 in Close Relatives: The Moderating …

Authors: F Dehghani-Arani, Z Asadi, H Farahani
Journal: Journal of Research in Psychological Health
Citation: 22 (4), 1-19
Year: 2024

The Mediating Role of Executive Functions in the Relationship Between E-Learning Readiness and Academic Performance During the COVID-19 Pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Citation: 14 (3), 105-119
Year: 2023

 Systematic Review and Meta-analysis of Functional and Structural Neural Pathways in Attachment

Authors: Hasanzade Maharlouee F, Dehghani-Arani F, Vahhabi A, Sima S
Journal: Journal of Cognitive Psychology
Citation: 11 (2)
Year: 2023

The relationship between executive functions and academic achievement in high-school students during the coronavirus pandemic

Authors: SS Mirhosseini, F Dehghani-Arani, R Safarifard
Journal: Journal of Applied Psychological Research
Year: 2023

Milla Vehviläinen | Data collection | Best Researcher Award

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Ms. Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen at VTT Technical Research Centre of Finland, Finland

👨‍🎓 Profile

📜 Summary

Milla Vehviläinen is a dedicated research scientist specializing in electromobility. She has extensive experience in computational modeling and simulation of electromechanical powertrains, contributing to both academic research and practical applications in electrical engineering.

🎓 Education

Milla is pursuing a D.Sc. (Tech) at Aalto University in Espoo, Finland, expected to complete in Q4/2025, focusing on computational modeling with a GPA of 4.6/5.0. She earned her M.Sc. (Tech) in Mechatronic System Design from LUT University, Lappeenranta, in 2020, with a GPA of 4.2/5.0. Her academic journey began with a B.Sc. (Tech) in Mechanical Engineering from LUT University, where she graduated in 2018 with a GPA of 3.1/5.0.

💼 Professional Experience

Currently, Milla works as a Research Scientist at VTT in Espoo (since 09/2020), focusing on computational modeling and simulation of electromechanical systems. Previously, she was a Research Trainee at VTT (07/2020 – 09/2020), where she developed a simulation toolbox for smart electric vehicle systems. Milla also has experience as an R&D Engineer Trainee at ABB Oy in Helsinki, working on product development for wind generators (05/2018 – 04/2020), and as a Sales Engineer Trainee in spare parts sales (05/2017 – 04/2018). She started her career as a trainee at Way Structural Technology Oy, contributing to 3D design projects for power plants (05/2016 – 06/2016).

📚 Academic Citations

Milla has authored several peer-reviewed publications, including: “Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics” in Mechanism and Machines Theory (2024) and “Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck” in Energies (2022).

⚙️ Technical Skills

Milla is skilled in MBS dynamics, 3D CAD, and condition monitoring. She is proficient in programming languages such as Python and VBA, and she has experience with software tools like Siemens NX, Teamcenter, SAP, and Tekla.

🔬 Research Interests

Milla’s research interests include electromechanical systems, electromobility, and fault detection and monitoring in electrical systems.

📖 Top Noted Publications 

Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
  • Journal: Mechanism and Machine Theory
  • Year: 2024
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jenni Pippuri-Mäkeläinen, Marko Paakkinen, Jukka Pellinen, Kari Tammi, Anouar Belahcen
  • Journal: Energies
  • Year: 2022