Dr. Lauren Rimmel | Health Monitoring | Best Researcher Award

Dr. Lauren Rimmel | Health Monitoring | Best Researcher Award

Dr. Lauren Rimmel | Health Monitoring | Brigham and Women’s Hospital | United States

Dr. Lauren Rimmel, PT, DPT, OCS, CSCS, is a dedicated physical therapist, educator, and researcher whose work bridges orthopedic rehabilitation, health equity, and community-engaged care. With advanced clinical specialization and a passion for social justice in healthcare, she has contributed significantly to the advancement of evidence-based practice and inclusive education in physical therapy. As a Clinical Specialist at Brigham and Women’s Health Center and Adjunct Faculty at the Massachusetts General Hospital Institute of Health Professions, Dr. Rimmel combines clinical expertise with academic mentorship. Her professional philosophy emphasizes patient-centered care, interdisciplinary collaboration, and the promotion of equitable access to rehabilitation services across diverse populations.

Professional Profile

Scopus

Summary of Suitability for the “Best Researcher Award” 

Dr. Lauren Rimmel stands out as an exemplary candidate for the Research for Best Researcher Award, combining advanced clinical expertise, academic scholarship, and a strong commitment to social justice and health equity in physical therapy research. Her scholarly and professional achievements clearly demonstrate the blend of innovation, leadership, and evidence-based practice that this award seeks to recognize.

Education

Dr. Rimmel completed her Doctor of Physical Therapy (DPT) and Bachelor of Science in Exercise Physiology at Marquette University, graduating magna cum laude from both programs. Her foundational education in exercise physiology provided a strong scientific background in human performance, biomechanics, and therapeutic exercise. She later pursued a postdoctoral Physical Therapy Residency in Orthopedics at the Massachusetts General Hospital Institute of Health Professions, where she further honed her clinical skills in managing complex musculoskeletal and neurologic conditions. This rigorous academic and clinical training positioned her as a well-rounded clinician and academic, capable of translating scientific evidence into practical rehabilitation strategies. Through continuing education in vestibular rehabilitation, dry needling, concussion management, and community health equity, she has remained deeply engaged in lifelong learning and advanced clinical development.

Professional Experience

Dr. Rimmel currently serves as a Clinical Specialist in the Outpatient Physical Therapy Department at Brigham and Women’s Health Center, where she manages a broad patient population encompassing orthopedic, vestibular, oncologic, neurologic, antepartum and postpartum, and gender-diverse health cases. Her clinical leadership extends beyond patient care—she is an active contributor to institutional committees focused on Diversity, Equity, and Inclusion (DEI) and the Sports Protocols Team, where she has authored multiple physical therapy rehabilitation guidelines, including those for Biceps Tendon Repair, PCL Reconstruction, OATS, and ACI procedures. Her work on these committees reflects a deep commitment to standardizing high-quality, equitable rehabilitation practices.

Simultaneously, Dr. Rimmel holds a faculty appointment as Adjunct Professor at the MGH Institute of Health Professions, where she contributes to curriculum development and instruction within the Social Justice and Health Equity Thread of the physical therapy program. Her teaching emphasizes the integration of evidence-based care with cultural competence and community awareness. She has led qualitative research, facilitated case-based learning, and guided future clinicians to provide compassionate care to marginalized and housing-insecure populations. Her earlier professional experience includes a Physical Therapy Residency at Massachusetts General Hospital, where she conducted clinical research, mentored peers, and gained valuable experience during the COVID-19 pandemic through service at Boston Hope Hospital with Boston’s Healthcare for the Homeless program.

Research Interests

Dr. Rimmel’s research centers on health inequity, diversity in rehabilitation education, and structural competency in physical therapy practice. She investigates disparities in physical therapy referral and participation, with an emphasis on identifying systemic barriers that contribute to unequal access to care. Her work also examines how culturally and linguistically diverse learners navigate higher education in physical therapy and how educational institutions can leverage community cultural wealth to foster inclusive learning environments. By combining qualitative and quantitative research approaches, Dr. Rimmel advances understanding of the intersection between social determinants of health and rehabilitation outcomes. Her ongoing research aims to transform healthcare education and practice by embedding social justice principles into clinical frameworks.

Awards

Dr. Rimmel’s exceptional contributions to clinical excellence, research, and educational innovation have earned her recognition within the physical therapy and health equity communities. She is a Board-Certified Clinical Specialist in Orthopaedics through the American Board of Physical Therapy Specialties, a certification reflecting her advanced expertise in musculoskeletal rehabilitation. She is also a Certified Strength and Conditioning Specialist through the National Strength and Conditioning Association and a Basic Cardiac Life Support provider. Her professional development includes participation in the Community Health Equity Scholars Program at Cambridge Health Alliance, which further underscores her leadership in community-based healthcare initiatives. Her nomination for this award highlights her distinguished role as a clinician-researcher dedicated to equitable healthcare delivery, diversity advocacy, and clinical excellence.

Publication Top Notes

Investigating Disparities in Physical Therapy Utilization: An Intersectionality Perspective

Mr. Mohamed Hamroun | Healthcare | Breakthrough Research Award

Mr. Mohamed Hamroun | Healthcare | Breakthrough Research Award

Mr. Mohamed Hamroun | Healthcare | XLIM/ University of Limoges | France

Dr. Mohamed Hamroun is an accomplished computer scientist and engineer specializing in artificial intelligence, image processing, and multimodal information retrieval. Currently serving as a researcher and lecturer at the 3iL School and the XLIM Laboratory at the University of Limoges, France, he has made significant contributions to the fields of deep learning, computer vision, and semantic data indexing. His multidisciplinary expertise spans across AI, VR/AR systems, big data analytics, and intelligent information retrieval systems, positioning him as a leading researcher in computational intelligence and multimedia data analysis. Through his work, Dr. Hamroun has advanced both theoretical understanding and practical applications of machine learning and artificial intelligence for complex visual and semantic data challenges.

Professional Profile

Google Scholar

Summary of Suitability for the “Breakthrough Research Award” 

Dr. Mohamed Hamroun is an exceptionally qualified candidate for the Research for Breakthrough Research Award, demonstrating a strong academic foundation, extensive research experience, and impactful scientific contributions in the fields of artificial intelligence (AI), image processing, deep learning, and multimodal information retrieval.

Education

Dr. Hamroun’s academic journey reflects a deep commitment to advancing computer science and AI-driven data analysis. He earned his Ph.D. in Computer Science from the University of Bordeaux, where his doctoral research focused on “Indexing and retrieval by visual, semantic, and multi-level content of multimedia documents,” under the supervision of Professors Henri Nicolas and Ikram Amous. His doctoral work bridged the gap between computational semantics and large-scale multimedia information retrieval. He later completed his Habilitation to supervise research at the University of Limoges, where his postdoctoral contributions were consolidated into a major research theme titled “Contributions to indexing and information retrieval: application to generalist and medical multimodal data,” under the guidance of Professor Damien Sauveron. Before his doctoral studies, he obtained a Computer Engineering degree from the University of Sfax, Tunisia, and a Bachelor’s degree in Computer Science from the same institution. His undergraduate and graduate projects revolved around multilingual search engine development and database management systems, establishing his foundation in applied informatics and intelligent systems.

Professional Experience

Dr. Hamroun’s professional experience demonstrates a steady trajectory of academic excellence and applied innovation. He began his career as an R&D Engineer at SIM-SOFT in Tunisia, where he was involved in software development and data-driven industrial applications. Following this, he pursued his Ph.D. research jointly between the University of Bordeaux and the University of Sfax, working on hybrid semantic and visual content retrieval models. After completing his Ph.D., he joined the XLIM Laboratory at the University of Limoges as a Postdoctoral Researcher, where he focused on the integration of deep learning and ontology-based frameworks for medical and multimedia data analysis. Later, he was appointed as a Lecturer at EILCO Engineering School in France, contributing to both teaching and research in computer science and artificial intelligence. He now holds the position of Associate Professor at 3iL Engineering School, affiliated with the XLIM Laboratory, where he supervises research projects and mentors graduate students in AI, machine learning, and multimedia information systems.

Research Interests

Dr. Hamroun’s research interests cover a wide spectrum of computational and artificial intelligence domains. His core expertise includes image and signal processing, deep learning architectures for data classification and clustering, virtual and augmented reality applications, and semantic data mining. His studies often combine statistical learning, ontology modeling, and multimodal data fusion to enhance human-computer interaction and knowledge extraction. A significant part of his current research focuses on developing intelligent systems for multimodal medical data retrieval and applying AI to improve healthcare diagnostics and decision support. His recent work also extends to federated learning frameworks and semantic interpretation in multimedia environments, bridging applied computer science with real-world AI applications.

Awards

Dr. Hamroun has been recognized for his innovative research in artificial intelligence and multimedia information systems through various academic honors and nominations. His outstanding work in deep learning-based image analysis and computational semantics has earned him recognition among peers in the international AI research community. He has contributed as a co-author to several highly cited papers and participated in collaborative European research projects aimed at integrating AI into real-world industrial and medical systems. His nomination for the award highlights his leadership in combining artificial intelligence with practical problem-solving across domains such as emotion recognition, diabetic foot ulcer diagnosis, and semantic retrieval.

Publication Top Notes

  • Title: Emotion recognition from speech using spectrograms and shallow neural networks
    Authors: A. Slimi, M. Hamroun, et al.
    Year: 2020
    Citations: 47

  • Title: DFU-Siam: A novel diabetic foot ulcer classification with deep learning
    Authors: M. S. A. Toofanee, M. Hamroun, et al.
    Year: 2023
    Citations: 43

  • Title: A survey on intention analysis: successful approaches and open challenges
    Authors: M. Hamroun
    Year: 2020
    Citations: 21

  • Title: An interactive engine for multilingual video browsing using semantic content
    Authors: M. B. Halima, M. Hamroun, et al.
    Year: (arXiv preprint, circa 2013)
    Citations: 16

  • Title: DFU-Helper: Innovative framework for longitudinal diabetic foot ulcer evaluation using deep learning
    Authors: M. S. A. Toofanee, M. Hamroun, et al.
    Year: 2023
    Citations: 11

Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award

Ms. Soree Hwang | Healthcare Intelligence Awards | Best Sensor for Health Monitoring Award 

Ms. Soree Hwang, Korea Institute of Science and Technology (KIST), South Korea

So Ree Hwang is a dedicated researcher in the field of biomedical engineering currently pursuing her Ph.D. at Korea University. She holds a Master’s degree in Design and Engineering from Seoul National University of Science and Technology and a Bachelor’s degree in Mechanical Engineering from Korea Aerospace University. Since May 2022, she has been a student researcher at the Korea Institute of Science and Technology (KIST), where she contributes to the development of AI-based health management platforms, including lifelog acquisition systems and fatigue and stress detection technologies. Her research also focuses on gait analysis and stroke assessment using motion signal processing and wearable devices. So Ree has published numerous papers as a main and co-author in reputable journals such as Sensors, Frontiers in Human Neuroscience, and IEEE journals. Her work integrates machine learning and biomedical signal analysis to advance rehabilitation technologies and health monitoring systems.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – So Ree Hwang

Dr. So Ree Hwang is a highly suitable candidate for the Best Researcher Award in the domain of health monitoring and biomedical engineering, with a strong multidisciplinary background and an impressive portfolio of impactful, AI-integrated sensor-based research.

🎓 Education

  • Ph.D. in Biomedical Engineering
    Korea University, Seoul, Republic of Korea (2021 – Present)

  • M.S. in Design and Engineering
    Seoul National University of Science and Technology, Seoul, Republic of Korea (2018 – 2020)

  • B.S. in Mechanical Engineering
    Korea Aerospace University, Goyang-si, Republic of Korea (2011 – 2017)

💼 Work Experience

  • Student ResearcherKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2022.05.01 – Present)

    • 🧠 Developed a lifelog system and AI-based fatigue/stress management platform

    • 🚶‍♂️ Contributed to gait analysis tech for knee disorder recovery

    • 🧪 Worked on motion signal-based stroke assessment technologies

  • Research InternKorea Institute of Science and Technology (KIST)
    📍 Seoul, Republic of Korea (2020.03.01 – 2021.12.31)

    • 🧠 Focused on stroke assessment using motion signal analysis

🏆 Achievements & Research Contributions

  • 📝 8 SCI-indexed papers as main or co-author, including in top journals like Sensors, Frontiers in Human Neuroscience, and IEEE

    • 📊 Topics: Gait phase classification, stroke severity assessment, fatigue detection using AI, wearable systems

  • ⚙️ First-author of applied engineering papers on 3D printing and IMU validation

  • 🤖 Integrated machine learning models (CNN-LSTM-Attention, RNNs) into biomedical signal analysis

  • 🧩 Contributed to the advancement of intelligent health monitoring and gait recovery systems

Publication Top Notes:

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Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award

Mr. CEYHUN YILMAZ | Smart Devices | Best Researcher Award 

Mr. CEYHUN YILMAZ, Sakarya University, Turkey

Assoc. Prof. Dr. Ceyhun Yılmaz is a distinguished mechanical engineer specializing in thermodynamic modeling, renewable energy systems, and hydrogen fuel cells. He earned his Ph.D., M.Sc., and B.Sc. in Mechanical Engineering (English) from the University of Gaziantep. With over a decade of academic and research experience, he has served as a Research Assistant, Assistant Professor, and now an Associate Professor at Afyon Kocatepe University. His expertise includes thermoeconomic analysis, optimization of energy systems, and hydrogen production technologies. Dr. Yılmaz has supervised multiple graduate theses and led numerous TÜBİTAK-funded projects on sustainable energy solutions. He is an active member of ASME and the Turkish Thermal Science and Technique Association, contributing to high-impact scientific publications in top-tier journals. His dedication to advancing energy technologies continues to make a significant impact in the field.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Suitability for Best Researcher Award

Assoc. Prof. Dr. Ceyhun Yılmaz has extensive experience in mechanical engineering, energy systems, and thermoeconomic optimization. His contributions to hydrogen fuel cells, renewable energy, and sustainability demonstrate significant impact in his field. Given his strong academic background, leadership in research, and international training, he is a strong candidate for the Best Researcher Award.

Education 🎓

  • Bachelor of Science in Mechanical Engineering (English)
    University of Gaziantep, 2009
  • Master of Science in Mechanical Engineering (English)
    University of Gaziantep, 2011
  • Ph.D. in Mechanical Engineering (English)
    University of Gaziantep, 2016
    (Includes training at American Mechanical Engineering Society-Hydrogen and Fuel Cell, San Diego, USA, 2014 – 5 months)

Work Experience 💼

  • Research Assistant
    Department of Mechanical Engineering, University of Gaziantep, 2010-2016
  • Assistant Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2017-2020
  • Associate Professor
    Department of Mechanical Engineering, Afyon Kocatepe University, 2020–present

Achievements 🏆

  • Supervised several Ph.D. and M.Sc. theses, including:
    • Ömer Faruk Güler: Numerical Modeling of Hydrogen PEM Fuel Cell and Thermoeconomic Optimization (Ph.D., 2022)
    • Muhammed Arslan: Thermodynamic Modeling of a Biogas Power Plant (Ph.D., 2022)
    • Ozan Şen: Thermoeconomic Analysis of Geothermal and Solar Energy (M.Sc., 2021)
    • Ali Hasan Abbas: Thermodynamic Analysis of Natural Gas Liquefaction (M.Sc., 2021)
  • Involved in multiple TÜBİTAK projects (Turkey’s scientific and technological research body), including:
    • Hydrogen Production Simulation using renewable energy and water electrolysis (2022-2023)
    • Concentrated Solar Collector for Afyon Province solar data (2022-2023)
    • Vanadium Redox Flow Battery Performance Evaluation (2023-2025)

Awards & Honors 🏅

  • Received TÜBİTAK project scholarships and executed high-impact research projects related to geothermal energy, hydrogen production, and renewable energy optimization.

Publication Top Notes:

Drought-induced oxidative damage and antioxidant responses in peanut (Arachis hypogaea L.) seedlings

CITED:162

Thermodynamic evaluation of geothermal energy powered hydrogen production by PEM water electrolysisEconomics of hydrogen production and liquefaction by geothermal energy

CITED:152

Economics of hydrogen production and liquefaction by geothermal energy

CITED:126

CITED:124
CITED:111