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 đź“š

đź“š 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.

đź“š 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

Feng Tian | Big Data Analytics | Best Researcher Award

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Prof Dr. Feng Tian | Big Data Analytics | Best Researcher Award

Hebei University of Engineering, China

PUBLICATION PROFILE

Scopus

INTRODUCTION 🌟

Prof. Dr. Feng Tian is a distinguished academic leader and researcher in the field of medical data science and bioinformatics. Currently, he serves as the Dean of the School of Medicine and the Director of the Hebei Key Laboratory of Medical Data Science at Hebei University of Engineering. His work is focused on integrating artificial intelligence with health big data, contributing significantly to the fields of bioinformatics and public health policy.

EARLY ACADEMIC PURSUITS 🎓

Dr. Tian’s academic journey began with a Bachelor’s degree in Biology from Tsinghua University, one of China’s most prestigious institutions. He pursued his Ph.D. in Bioinformatics at Tsinghua University from 2004 to 2009, where his research laid the foundation for his later contributions to the study of molecular biology and bioinformatics. His education provided him with a deep understanding of biological data analysis, which he later applied to medical research.

PROFESSIONAL ENDEAVORS đź’Ľ

Dr. Tian’s professional trajectory includes several key academic appointments. He has been a Professor at the School of Medicine, Hebei University of Engineering, since 2021. Prior to this, he gained valuable international experience as a Visiting Scholar at the National Center for Data Mining at the University of Illinois at Chicago (UIC) in 2007-2008. His career has been marked by a commitment to bridging the gap between artificial intelligence and healthcare.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Tian’s research interests are multifaceted, focusing on the development and application of AI in health big data, bioinformatics, and public health policy. His research has greatly advanced the understanding of molecular subtyping and the minimal residual disease (MRD) mechanisms in acute lymphoblastic leukemia (ALL). By integrating multi-omics data and utilizing cutting-edge technologies, Dr. Tian has made groundbreaking contributions to the medical field, particularly in the context of cancer research and personalized medicine.

IMPACT AND INFLUENCE 🌍

Dr. Tian’s work has had a profound impact on both the scientific community and public health sectors. His AI-driven innovations in medical data analysis are paving the way for more accurate and personalized healthcare. The algorithms and platforms he has developed have not only enhanced tumor diagnosis and drug screening but also contributed to improving public health practices in China. His leadership in the field of medical data science has helped establish Hebei University of Engineering as a leading institution in AI-driven health research.

ACADEMIC CITATIONS AND PUBLICATIONS đź“š

Dr. Tian has authored numerous publications in prestigious journals, with his work frequently cited by peers in the bioinformatics and medical research communities. His contributions include groundbreaking studies such as the development of a data processing system for miRNA expression profiling, as well as research into the regulatory impacts of transcription factors across species. More recently, his work has explored deep learning models for prehospital emergency classification and the molecular mechanisms of leukemia. Notable publications include:

  1. Tian F, Zhang H, Zhang X, et al. “miRAS: A Data Processing System for miRNA Expression Profiling Study.” BMC Bioinformatics, 2007.

  2. Tian F, Wu Y, Zhou Y, et al. “A New Single Nucleotide Polymorphism Genotyping Method.” Clin Chem Lab Med, 2008.

  3. Tian F, Xu W, Tian F, et al. “ETV6::ACSL6 Translocation-Driven Super-Enhancer Activation.” Haematologica, 2024.

His academic contributions continue to shape ongoing research in medical data science.

HONORS & AWARDS 🏅

Dr. Tian has been the recipient of several prestigious awards, recognizing his contributions to medical research and technology. Notable honors include:

  • First Prize, Hebei Provincial Science and Technology Progress Award, for his research on multi-omics AI algorithms in tumor diagnosis and anti-tumor drug screening (September 2024).

  • Second Prize, 2024 Invention and Entrepreneurship Achievement Award, China Association of Inventions, for his work in AI models in public health (July 2024).

  • First Prize, Hebei Medical Science and Technology Award, for his research on reducing residual risk after nucleic acid testing (May 2021).

These accolades reflect his leadership and innovation in the fields of health big data, bioinformatics, and AI applications in healthcare.

LEGACY AND FUTURE CONTRIBUTIONS đź”®

Dr. Tian’s legacy in the academic and medical fields is poised for significant growth. His ongoing research aims to further revolutionize the application of artificial intelligence in health data analysis, with an emphasis on cancer research and public health policy. His innovative work continues to shape the future of personalized medicine and healthcare, and he is dedicated to advancing his research in the coming years to further improve public health outcomes globally.

FINAL NOTE ✨

Prof. Dr. Feng Tian stands at the forefront of the intersection between artificial intelligence and healthcare. His pioneering research, leadership, and commitment to applying AI in medical data science have established him as a key figure in his field. With numerous accolades, publications, and ongoing contributions to healthcare and bioinformatics, Dr. Tian’s work continues to inspire the next generation of researchers and healthcare professionals. His legacy will undoubtedly shape the future of medical data science for years to come.

TOP NOTES PUBLICATIONS 📚

Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks

    • Authors: Not listed in your excerpt, but attributed to the Flynet project

    • Journal: Bioinformatics

    • Year: 2009

DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification

    • Authors: X. Zhang, H. Zhang, L. Sheng, F. Tian*

    • Journal: IEEE Access

    • Year: 2022

ETV6::ACSL6 translocation-driven super-enhancer activation leads to eosinophilia in acute lymphoblastic leukemia through IL-3 overexpression

    • Authors: Xu W*, Tian F*, Tai X, Song G, Liu Y, Fan L, Weng X, Yang E, Wang M, Bornhäuser M, Zhang C, Lock RB, Wong JWH, Wang J, Jing D, Mi JQ

    • Journal: Haematologica

    • Year: 2024

 PU.1 eviction at lymphocyte-specific chromatin domains mediates glucocorticoid response in acute lymphoblastic leukemia

    • Authors: Dominik Beck#,, Honghui Cao#, Feng Tian#, Yizhou Huang#, Miao Jiang, Han Zhao, Xiaolu Tai, Wenqian Xu, Hansen J Kosasih, David J Kealy, Weiye Zhao, Samuel J Taylor, Gaoxian Song, Diego Chacon-Fajardo, Yashna Walia, Meng Wang, Adam A Dowle, Andrew N Holding, Katherine S Bridge, Chao Zhang, Jin Wang, Jian-Qing Mi, Richard B Lock, Charles E. de Bock*, Duohui Jing*

    • Journal: Nature Communications

    • Year: 2024

 Single-Cell Atlas Reveals Tumorigenic Profiles and Immune Dynamics of Adrenal Incidentalomas

    • Authors: Meng Wang#, Guangmin Zheng#, Xiaoyong Hu#, Feng Tian#, Tuo Li, Zheng Zhang, Kai Gong, Shiwei Chen, Lin Yuan, Yu Qi, Lin Li, Daofu Cheng, Liu Liu, Fuqiang Liu, Yujing Sun, Xiangdong Fang, Ruxing Zhao*, Bing Liu*, Chao Zhang*

    • Journal: Advanced Science

    • Year: 2025

Spatial analysis of prehospital emergency medical services accessibility: a comparative evaluation of the GAUSS-probability two-step floating catchment area model in Handan City

    • Authors: Tian F, Lu S, Yang Z, Zhao T, Li P, Zhang H

    • Journal: Frontiers in Public Health

    • Year: 2025

Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

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Mr. Laxmi Kantham Durgam | Deep Learning | Best Scholar Award

National Institute of Technology Warangal | India

Publication Profile

Google Scholar

🧑‍🎓 Education

Mr. Laxmi Kantham Durgam is currently pursuing his PhD in Electrical Engineering at National Institute of Technology Warangal, Telangana, India (2021–Present). His research focuses on Speech Recognition, Age and Gender Identification from Speech, and the application of Machine Learning and Deep Learning techniques. He is also a Visiting Researcher at the Technical University of Kosice, Slovakia, as part of the NSP SAIA Fellowship (2024). Mr. Durgam holds an M.Tech in Digital Systems and Computer Electronics from Jawaharlal Nehru Technological University, Hyderabad (2017–2020) and a B.Tech in Electronics and Communication Engineering from the same institution (2011–2015).

đź“š Publications

Mr. Durgam has contributed to various publications in the fields of speech processing, deep learning, and edge computing. His notable works include papers on speaker age and gender classification, real-time age estimation from speech, and dress code detection using MobileNetV2 on NVIDIA Jetson Nano. He has been published in journals like Computing and Informatics and Journal of Signal Processing Systems, as well as conferences like ICIT-2023 in Kyoto, Japan.

🔬 Research Experience

Since 2021, Mr. Durgam has been a PhD Research Scholar at NIT Warangal, where his research includes projects on real-time age identification from speech using Edge devices like Jetson Nano and Arduino Nano BLE. He has also worked on real-time projects like vehicle logo classification using Edge Impulse and dress code detection using MobileNetV2. His work is focused on implementing Machine Learning and Deep Learning algorithms for practical, real-time applications.

🏆 Fellowships and Awards

Mr. Durgam was awarded the NSP SAIA Fellowship (2024), an international mobility program funded by the European Union, allowing him to collaborate with the KEMT, Faculty of Electrical Engineering and Informatics at the Technical University of Kosice, Slovakia. He also received the MHRD Fellowship for his PhD from the Government of India. He has passed the NITW PhD Entrance and the GATE exam (2016), and he received financial support as an undergraduate student from the Andhra Pradesh State Government.

đź“– Academic Achievements

Mr. Durgam has significantly contributed to the academic environment through his role in conducting hands-on programming sessions in Machine Learning, Deep Learning, and AI applications. He has mentored students in Faculty Development Programs (FDPs), summer and winter internships, and workshops at various institutions. His workshops have reached institutions such as BRIT Vijayanagaram and VBIT Hyderabad, where he focused on advanced deep learning applications on Edge devices.

đź’» Technical Skills

Mr. Durgam is highly skilled in programming with languages like Python, C, Embedded C, Matlab, and frameworks such as Keras, TensorFlow, and OpenCV. He has experience working with edge devices like Jetson Nano, Jetson Xavier, and Arduino Nano BLE 33 Sense. His expertise also extends to Machine Learning, Deep Learning, Computer Vision, and Digital Signal Processing.

🧑‍🏫 Teaching and Mentoring

Mr. Durgam has been an active Teaching Assistant and mentor at NIT Warangal, where he has assisted in courses like Artificial Intelligence, Machine Learning, and Digital Signal Processing. He has guided B.Tech students in lab sessions, and his expertise in AI/ML has also been shared through guest lectures and faculty development programs.

🚀 Key Projects

Some of Mr. Durgam’s key projects include age and gender estimation from speech using MFCC features, dress code detection with MobileNetV2 on Edge devices, and real-time object detection using deep learning algorithms. He has successfully developed these applications on devices like Jetson Nano and Arduino Nano BLE for real-time deployment.

🌍 Professional Engagement

Mr. Durgam is an IEEE Student Member and an active participant in IEEE Young Professionals. He has been involved in organizing and coordinating internships, workshops, and training programs related to AI/ML and Deep Learning at NIT Warangal and other institutes. He is passionate about bridging the gap between academia and real-world applications, particularly through Edge Computing and AI deployment.

📚 Top Notes Publications 

Real-Time Dress Code Detection using MobileNetV2 Transfer Learning on NVIDIA Jetson Nano

    • Authors: LK Durgam, RK Jatoth

    • Journal: Proceedings of the 2023 11th International Conference on Information

    • Year: 2023

Real-Time Classification of Vehicle Logos on Arduino Nano BLE using Edge Impulse

    • Authors: D Abhinay, SV Vighnesh, LK Durgam, RK Jatoth

    • Journal: 2023 4th International Conference on Signal Processing and Communication

    • Year: 2023

Age Estimation based on MFCC Speech Features and Machine Learning Algorithms

    • Authors: LK Durgam, RK Jatoth

    • Journal: IEEE International Symposium on Smart Electronic Systems (iSES)

    • Year: 2022

Age Estimation from Speech Using Tuned CNN Model on Edge Devices

    • Authors: LK Durgam, RK Jatoth

    • Journal: Journal of Signal Processing Systems

    • Year: 2024

Age and Gender Estimation from Speech using various Deep Learning and Dimensionality Reduction Techniques

    • Authors: MPJJ Laxmi Kantham Durgam*, Ravi Kumar Jatoth, Daniel Hladek, Stanislav Ondas

    • Journal: Acoustics and Speech Processing at Speech analysis synthesis, Institute of

    • Year: 2024

 

Raikane James | Healthcare Data Analysis | Best Researcher Award

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Mr. Raikane James | Healthcare Data Analysis | Best Researcher Award

Seretlo Sefako Makgatho Health Sciences University | South Africa

PUBLICATION PROFILE

Google Scholar

Prof. Nobuo Nakada ⚡🌍

đź“š INTRODUCTION

Mr. Raikane James Seretlo is a distinguished lecturer in Public Health at Sefako Makgatho Health Sciences University. He brings a combination of years of healthcare experience and academic dedication to the field, making him a key figure in advancing public health education and research. His academic journey continues to evolve, contributing to both local and global public health initiatives.

🎓 EARLY ACADEMIC PURSUITS

Mr. Seretlo’s academic path began with a focus on nursing, earning his Auxiliary Nursing Certificate in 2007. He continued his studies, completing a Bachelor’s in Nursing Science and later, a Master’s in Public Health from Sefako Makgatho Health Sciences University in 2022. Currently, he is progressing towards his PhD in Public Health, further solidifying his dedication to public health research and education.

đź’Ľ PROFESSIONAL ENDEAVORS

With extensive experience in healthcare, Mr. Seretlo has held multiple roles in both clinical practice and academia. His past positions include Clinical Application Specialist at Philips Africa, Clinical Facilitator at the University of Pretoria, and Professional Nurse at Philadelphia Hospital. Currently, he serves as a lecturer at Sefako Makgatho Health Sciences University, where he shapes the minds of future healthcare professionals.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS ON HEALTHCARE DATA ANALYSIS

Mr. Seretlo’s research interests focus on critical areas such as HIV prevention, TB, and health education. His work aims to improve public health strategies, especially in underprivileged communities. He is dedicated to mentoring students, guiding them through their research and helping shape the future of public health practices. His ongoing work includes developing digital health interventions and exploring the impact of health policies.

🌍 IMPACT AND INFLUENCE

Mr. Seretlo has significantly influenced public health education. His work as a lecturer and module coordinator at Sefako Makgatho Health Sciences University has enriched the academic environment, allowing students to develop practical skills and in-depth knowledge of public health. Furthermore, he has worked internationally, improving maternal and child health across African healthcare settings.

đź“– ACADEMIC CITATIONS AND PUBLICATIONS

Through his research and practical experiences, Mr. Seretlo has authored multiple publications. His work on public health, HIV, and health promotion is regularly cited in academic circles. His ability to bridge theory and practice helps ensure that his research directly impacts healthcare delivery and education, influencing both academic and professional communities.

🏆 HONORS & AWARDS

Throughout his career, Mr. Seretlo has been recognized for his contributions to public health education and research. Notable achievements include his innovative work with online educational tools and his role as a guest lecturer. He has been awarded honors for excellence in teaching, research, and clinical education, which have solidified his reputation in the field.

đź”® LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Mr. Seretlo’s contributions to public health education and research are expected to expand. His innovative approaches to digital health and health education will likely continue to shape future public health policies and practices, contributing to global health advancements. His legacy will undoubtedly inspire future scholars and healthcare professionals.

đź“… FINAL NOTE

As Mr. Seretlo continues his academic journey, his commitment to enhancing public health education remains unwavering. His career highlights a legacy of impactful research, innovative teaching, and dedication to improving healthcare outcomes. His influence is sure to grow, as he contributes further to both public health and academic research.

 📚 TOP NOTES PUBLICATIONS

Holistic sexual-reproductive healthcare services and needs for queer individuals: Healthcare providers’ perspectives
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: Healthcare
    • Year: 2024
A self-reported study: Health and mental health status among MSM in a district of North-West province
    • Authors: AP Mphela, RJ Seretlo, K Mokwena, MM Mokgatle
    • Journal: International Journal of Innovative Research and Scientific Studies
    • Year: 2024
Experiences of high school learners regarding Ubuntu education and training in South Africa
    • Authors: RT Lebese, SE Tshivhase, NS Mashau, L Makhado, R Anokurwu, et al.
    • Journal: Inkanyiso
    • Year: 2023
Community health workers’ knowledge of Ubuntu informed care in tuberculosis, HIV, and AIDS in Gauteng province
    • Authors: R Gundo, NV Sepeng, R Lavhelani, M Moeta, M Musie, RJ Seretlo, et al.
    • Journal: Curationis
    • Year: 2025
We are treated differently: Experiences of men who have sex with men in South African clinics
    • Authors: TT Ravele, RJ Seretlo, MM Mokgatle, R Seretlo, TT Ravele, RJ Seretlo
    • Journal: (Not specified, possibly another journal for 2025)
Challenges in sexual and reproductive healthcare access for queer people in Gauteng, South Africa
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: African Journal of Primary Health Care & Family Medicine
    • Year: 2024
Development of an mHealth App by Experts for Queer Individuals’ Sexual-Reproductive Health Care Services and Needs: Nominal Group Technique Study
    • Authors: RJ Seretlo, H Smuts, MM Mokgatle
    • Journal: JMIR Formative Research
    • Year: 2024

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 đź’Ľ

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 đź“š

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 đź’°

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

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

đź“ś 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.

đź’Ľ 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).

đź“š 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 đź’Ľ

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 đź“š

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 đź”®

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 đź“–

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.; BĂĽntgen, 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

Mohamed Bendahan | Communication et réseaux | Best Researcher Award

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Mr. Mohamed Bendahan | Communication et réseaux | Best Researcher Award

Mr. Mohamed Bendahan at Université Mohammed V de Rabat, Morocco

👨‍🎓  Profiles

Early Academic Pursuits 🎓

The academic journey began with a Bachelor’s degree in French Language and Literature, followed by a DEA in Information and Communication Sciences. A Doctorate from Lyon 2 was completed, leading to an habilitation to supervise research obtained in 2013, which reinforced academic credibility in the field.

Professional Endeavors đź’Ľ

Currently a Professor of Higher Education at Mohammed V University in Rabat, the individual holds several key positions, including Director of the ALESCO Chair on “Territorial Communication and Social Dynamics” and the doctoral school “Information and Communication Sciences.” As an expert evaluator and member of various scientific committees, they actively contribute to research development in their domain.

Contributions and Research Focus 🔍

Research focuses on the evolution of communication in Morocco, media usage, and communication within public governance. International projects, such as those related to the mediation of civic and religious initiatives and crisis communication during the COVID-19 pandemic, demonstrate a commitment to regional and global engagement.

Impact and Influence 🌍

Involvement in international scientific networks and membership in associations such as SFSIC and AMSIC amplify the impact of their work. Responsibility for various research projects highlights a dedication to fostering dialogue between researchers and practitioners.

Academic Cites đź“š

Publications include books, chapters, and articles in indexed and peer-reviewed journals. Contributions to conferences and coordination of journal issues enhance academic visibility. Academic evaluations further demonstrate recognition in the field.

Technical Skills 🛠️

Technical expertise encompasses research methodology, public and territorial communication, and digital communication strategies. Experience in supervising projects and theses showcases the ability to guide students through their academic journeys.

Teaching Experience 👩‍🏫

Since 2005, teaching various Bachelor’s and Master’s programs in communication has facilitated the transfer of knowledge on communication theories, audiovisual communication, and communication strategy. Involvement in internship supervision enhances students’ practical learning.

Legacy and Future Contributions đź”®

With a continued commitment to teaching and research, the professor aims to influence future generations of communicators. Ongoing projects focused on sustainable development and responsible communication indicate a promising future and a desire to leave a positive legacy in the field.

 

đź“– Top Noted Publications

The Contribution of Religion to Protest Mobilization on Digital Social Networks
    • Authors: Khalid Ait Hadi; Mohamed Bendahan; Saad Chemaou
    • Journal: Religions
    • Year: 2024
Médiatisation, (nouveaux) militantismes et numérisation
    • Authors: Tudor, M.-A.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
Social Entrepreneurship in Morocco: From Activism to Development Expertise
    • Authors: Chemaou, S.; Bendahan, M.; Bratosin, S.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2022
The Arabic-speaking press in England through the prism of the Gulf policies
    • Authors: Nader, A.; Bendahan, M.
    • Journal: Revue des Mondes Musulmans et de la Mediterranee
    • Year: 2022
Television channels in the face of the covid-19 pandemic: Case of public television channels in Morocco
    • Authors: Kabbadj, M.; Bendahan, M.
    • Journal: ESSACHESS – Journal for Communication Studies
    • Year: 2021
Religious media in the Maghreb: What are the boundaries between the public and private spheres?
    • Authors: Bendahan, M.; Akhiate, Y.
    • Journal: Religions
    • Year: 2020
Communications and Mobility: The Migrant, the Mobile Phone, and the Container Box
    • Authors: Bendahan, Mohamed
    • Journal: HESPERIS-TAMUDA
    • Year: 2018

 

Noor Ul Hadi | Strategic Management | Best Researcher Award

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Dr. Noor Ul Hadi | Strategic Management | Best Researcher Award

Doctorate at Prince Mohammad Bin Fahd University, Saudi Arabia

PROFILES👨‍🎓

 BIOGRAPHY OF DR. NOOR UL HADI 🌟

EARLY ACADEMIC PURSUITS 🎓

Dr. Noor Ul Hadi began her academic journey with a strong foundation in Strategic Management. She earned her advanced degrees from prestigious institutions, where she honed her research skills and developed a passion for data analysis and sustainable business practices. Her commitment to education laid the groundwork for her future endeavors in academia and research.

PROFESSIONAL ENDEAVORS đź’Ľ

Currently an Associate Professor at Prince Mohammad Bin Fahd University, Saudi Arabia, Dr. Hadi has built a distinguished career in higher education. With over 30 published articles in reputable journals, she has significantly contributed to the academic community, engaging in editorial roles and fostering collaborations with fellow researchers.

CONTRIBUTIONS AND RESEARCH FOCUS 🔍

Dr. Hadi’s research primarily revolves around Business Circularity, focusing on sustainable practices that align with the United Nations Sustainable Development Goals (SDGs). Her work addresses critical areas such as public health, quality education, and responsible consumption, making her contributions essential for advancing sustainability in industry and society.

IMPACT AND INFLUENCE 🌍

Her influential papers on data analysis have garnered substantial citations, underscoring her impact in the field. Notably, her insights into small enterprises and social entrepreneurship are pivotal for fostering economic growth and innovation. Dr. Hadi’s work in recycling and circular economy principles has inspired both academic peers and industry practitioners.

ACADEMIC CITES đź“š

With a citation index of 2107 on Google Scholar, Dr. Hadi’s research is widely recognized and cited. Her notable publications highlight the importance of strategic management in contemporary business practices and demonstrate her leadership in fostering responsible innovation.

LEGACY AND FUTURE CONTRIBUTIONS đź”®

Dr. Noor Ul Hadi is committed to advancing knowledge and practices in sustainable business. Her future contributions aim to deepen the understanding of circular economy principles and promote sustainable development in academia and industry. Through her mentorship and research initiatives, she continues to inspire the next generation of scholars and practitioners.

TOP NOTED PUBLICATIONS đź“–

Unveiling the Complex Relationship between Open Circular Innovation and Business Circularity: The Role of Circular-Based Dynamic Capabilities and Circular Ambidexterity
  • Authors: Hadi, N.U.
    Journal: Sustainability (Switzerland)
    Volume: 16
    Issue: 17
    Pages: 7647
    Year: 2024
Fostering hotel ambidexterity through knowledge-sharing culture and knowledge-sharing behavior: a study of the hospitality sector in Pakistan
  • Authors: Hadi, N.U., Sheikh, S.A.
    Journal: Business Process Management Journal
    Volume: 30
    Issue: 4
    Pages: 1297–1313
    Year: 2024
Promoting sustainable learning among accounting students: evidence from field experimental design
  • Authors: Hadi, N.U., Abdel-Razzaq, A.I.
    Journal: Higher Education, Skills and Work-based Learning
    Volume: 14
    Issue: 2
    Pages: 479–491
    Year: 2024
Exploring the Relationship Between Performance Assessment and Employee Performance: The Role of Performance Planning and Performance Review
  • Authors: Al Thawadi, M.M., Hadi, N.U.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 523–531
    Year: 2024
Simple Mediation Analysis: The Complementing Role of Parallel Multiple Mediation Approach via Process Analysis
  • Authors: Mahmood, N., Hadi, N.U., Talha, M.
    Book Title: Studies in Systems, Decision and Control
    Volume: 517
    Pages: 479–493
    Year: 2024

Manathungei Priyadarshanie – Women Mental Health – Best Faculty Award 

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Dr Manathungei Priyadarshanie - Women Mental Health - Best Faculty Award 

General Sir John Kotelawala Defence University - Sri Lanka 

Author Profile

Early Academic Pursuits

Dr. Priyadarshanie M.N began her academic journey with a Bachelor of Science in Nursing (Hons) from the Faculty of Allied Health Sciences, University of Peradeniya, Sri Lanka, in 2012. Her dedication to academic excellence is evident in her later pursuit of a Certificate in Teaching in Higher Education (CTHE) in 2016 from the General Sir John Kotelawala Defence University. To further enhance her research skills, she completed a Certificate Course on Research Methodology and Scientific Writing in 2020 from the Faculty of Graduate Studies, University of Sri Jayewardenepura.

Professional Endeavors

Dr. Priyadarshanie M.N's commitment to advancing her knowledge is reflected in her Doctor of Philosophy (PhD) earned in 2022 from the University of Sri Jayewardenepura. Her diverse educational background, including a Diploma in Human Resource Management in 2010, showcases a well-rounded professional profile. Additionally, she acquired skills in computer-based data analysis through a Certificate in Computer-Based Data Analysis in 2017.

Contributions and Research Focus

Dr. Priyadarshanie M.N has made significant contributions to the field of healthcare, particularly in maternal and child health. Her research, as evidenced by numerous abstracts, abstract publications, and full paper publications, spans topics such as neonatal care, dengue outbreaks, emergency contraceptive pills, anxiety disorders during pregnancy, sleep-disordered breathing, and more. Her work demonstrates a broad and impactful research focus with implications for both clinical practice and public health policy.

Accolades and Recognition

Dr. Priyadarshanie M.N has presented her research findings at various national and international conferences, receiving recognition for her work in the form of abstract publications and awards. Her abstract "Perinatal Anxiety Screening (PASS) as a valid tool to detect anxiety among pregnant women" was presented at the 15th Annual Academic Sessions of the Sri Lanka College of Psychiatrists.

Impact and Influence

Through her research, Dr. Priyadarshanie M.N has contributed to the advancement of knowledge in areas critical to maternal and child health, mental health during pregnancy, and sleep-related issues in pregnancy. The impact of her work is evident in the publication of her research findings in reputable journals, such as the BMC Psychiatry and the Journal of the Ceylon College of Physicians.

Legacy and Future Contributions

As a researcher and academic, Dr. Priyadarshanie M.N's legacy lies in her substantial contributions to understanding and addressing health challenges faced by pregnant women and children in Sri Lanka. Her multidisciplinary approach, involving psychology, obstetrics, and public health, positions her as a valuable contributor to ongoing efforts in improving maternal and child health outcomes. Her future contributions are anticipated to further shape the landscape of healthcare research in Sri Lanka and beyond.

Citations

  • Citations      30
  • h-index         3
  • i10-index      2

Notable Publication