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

Ouya Fang | Ecological risk| Best Researcher Award

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Dr. Ouya Fang | Ecological risk | Best Researcher Award

Dr. Ouya Fang at Institute of Botany, Chinese Academy of Sciences, China

  Profiles👨‍🎓

Early Academic Pursuits 🎓

Dr. Ouya Fang completed her Ph.D. in Physical Geography at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, in 2016. Her academic journey continued with postdoctoral research in Ecology at the same institute from 2016 to 2018, laying a strong foundation in environmental sciences.

Professional Endeavors 💼

Since 2023, Dr. Fang has served as an Associate Professor at the Institute of Botany, Chinese Academy of Sciences, after holding the position of Assistant Researcher from 2018 to 2023. She has also gained international experience as a Visiting Scholar at the Swiss Federal Institute for Forest, Snow, and Landscape Research (2019-2020) and contributes to the scientific community as an Associate Editor for Dendrochronologia and board member for several ecological journals.

Contributions and Research Focus 🔍

Dr. Fang has led significant research projects, including studies on tree ecological resilience and the Tamarix arbor phenomenon in Qinghai. Her work emphasizes forest ecology, dendrochronology, and climate change, advancing knowledge on tree resilience and ecological memory, particularly under climate stress.

Impact and Influence 🌍

With an H-index of 10 and 24 published research papers—19 as first or corresponding author—Dr. Fang’s work has influenced forest resilience assessments and the understanding of historical forest decline due to climate change. Her research findings are recognized for enhancing resilience indicators and developing strategies for tree survival in extreme conditions.

Academic Cites 📚

Dr. Fang’s research has appeared in prestigious journals, including Science, Nature Geoscience, and Global Change Biology, showcasing her impactful contributions to the field. Her editorial roles in notable journals reflect her standing in the academic community.

Technical Skills 🛠️

Dr. Fang possesses advanced technical skills in forest ecology research, dendrochronology, and climate change analysis. Her expertise enables her to conduct in-depth assessments of ecological resilience and historical growth patterns of forest trees.

Teaching Experience 👩‍🏫

As an Associate Professor, Dr. Fang engages in teaching and mentoring students in ecology and environmental sciences, fostering the next generation of researchers. Her academic background enhances her ability to convey complex concepts effectively.

Legacy and Future Contributions 🔮

Dr. Fang’s ongoing research, including a forthcoming book on forest tree health, underscores her commitment to understanding ecological systems and contributing to sustainability. Her work aims to shape future research directions in forest ecology and climate adaptation strategies.

In summary, Dr. Ouya Fang’s academic and professional journey is marked by significant contributions to forest ecology, demonstrating her dedication to advancing knowledge and fostering resilience in natural systems.

 

Top Noted Publications 📖

Tree-growth synchrony index, an effective indicator of historical climatic extremes
    • Authors: Hengfeng Jia, Jiacheng Zheng, Jing Yang, Lixin Lyu, Yuntao Dong, Ouya Fang
    • Journal: Ecological Processes
    • Year: 2024
Reducing continuous synchrony is an inherent property of tree growth in forests
    • Authors: Zhang, Q.-B.; Jia, H.; Zheng, J.; Fang, O.; Yang, J.; Langzhen, J.-Y.; Hebda, R.J.
    • Journal: Research Square
    • Year: 2023
Southeast Asian ecological dependency on Tibetan Plateau streamflow over the last millennium
    • Authors: Chen, F.; Man, W.; Wang, S.; Esper, J.; Meko, D.; Büntgen, U.; Yuan, Y.; Hadad, M.; Hu, M.; Zhao, X. et al.
    • Journal: Nature Geoscience
    • Year: 2023
Linkage between spruce forest decline and cloud cover increase in the Qilian Mountains of the northeastern Tibetan Plateau
    • Authors: Jing Yang, Baowei Zhao, Jiacheng Zheng, Qi Zhang, Yan Li, Fuhai Ma, Ouya Fang
    • Journal: Trees
    • Year: 2023
Tree-ring evidence of ecological stress memory
    • Authors: Yumei Mu, Lixin Lyu, Yan Li, Ouya Fang
    • Journal: Proceedings of the Royal Society B: Biological Sciences
    • Year: 2022
Non-linear modelling reveals a predominant moisture limit on juniper growth across the southern Tibetan Plateau
    • Authors: Hengfeng Jia, Ouya Fang, Lixin Lyu
    • Journal: Annals of Botany
    • Year: 2022