Laiba Husain | Digital Health and Tele-Oncology | Best Researcher Award

Published on by AI Data Scientist

Dr. Laiba Husain | Digital Health and Tele-Oncology | Best Researcher Award

Early Impact Scholar, University of Texas Southwestern Medical Center, United States

Dr. Laiba Husain is a dedicated public health scholar and implementation scientist with extensive experience across the UK and the U.S. Her academic journey spans leading institutions including the University of Michigan, University of Birmingham, University of Oxford, and currently UT Southwestern Medical Center. Her work combines rigorous academic training with practical insights into healthcare systems, digital health equity, and translational science. Dr. Husain’s research focuses on improving public health outcomes, especially among marginalized populations, and she is recognized for her leadership in advancing stakeholder-engaged healthcare research. Her trajectory reflects a strong commitment to equity-driven innovation in public health.

Profile

Scopus

Education

Dr. Husain completed a Bachelor of Science in Biopsychology, Cognition, and Neuroscience from the University of Michigan in 2017. She was awarded a Fulbright Scholarship to pursue a Master’s in Public Health at the University of Birmingham, graduating in 2019. She earned her Doctor of Philosophy (DPhil) in Translational Health Sciences from the University of Oxford in January 2025, under the supervision of Dr. Trish Greenhalgh. Her academic background blends biomedical sciences with public health and translational research, equipping her with a multidisciplinary approach to health systems innovation and equity-oriented scientific inquiry.

Professional Experience

Dr. Husain’s professional journey includes roles as Research Associate and Analyst at the University of Oxford, where she contributed to groundbreaking projects on digital health and COVID-19. She later served as a consultant at the Healthcare Improvement Studies Institute (THIS Institute), University of Cambridge. In 2025, she joined UT Southwestern Medical Center as an Early Impact Scholar and a member of the Advancing Implementation & Improvement Science Program. Her positions have spanned mixed-methods research, policy consulting, academic mentorship, and collaborative program development, establishing her as a leader in evidence-based public health and implementation science.

Research Interest

Dr. Husain’s research interests lie at the intersection of digital health equity, healthcare implementation science, primary care improvement, and public health informatics. She focuses on designing inclusive health interventions, particularly for marginalized communities facing digital and linguistic barriers. Her DPhil research explored intersectionality in digital health disparities, while her ongoing work at UT Southwestern centers on tele-oncology and stakeholder-driven improvements to care delivery. She is deeply invested in advancing equity in health outcomes through translational research, intersectoral partnerships, and innovative health systems thinking rooted in real-world challenges and community needs.

Research Skills

Dr. Husain possesses comprehensive research competencies, including qualitative and mixed-methods analysis, stakeholder engagement, and protocol development. At Oxford, she established communication channels across EU stakeholders and co-developed engagement frameworks to align research with community and regulatory needs. She has authored multiple publications, demonstrating expertise in data collection, analysis, and theory-driven evaluation. Her time at THIS Institute honed her strategic consultancy skills in healthcare improvement, while her current role includes designing health initiatives, mentorship, and cross-disciplinary collaborations. These skills enable her to bridge research and practice to maximize public health impact.

Awards and Honors

Dr. Husain has received numerous prestigious honors, beginning with the James B. Angell Scholar Award (University of Michigan, 2017) and Fulbright Scholar Award (US-UK Fulbright Association, 2018). At Oxford, she was named Dean’s University Scholar (2021) and received the Doctoral Fellowship Award from the Health Improvement Studies Institute (2022). In 2024, she was honored in the International Women of Impact Portrait Series at Green Templeton College. Most recently, she earned the Nuffield Departmental Award for Outstanding Doctoral Dissertation (2025), underscoring her exceptional scholarly contributions to health sciences.

Publications

  • Greenhalgh, Trisha, Matthew Knight, Maria Buxton, and Laiba Husain. “Management of post-acute covid-19 in primary care.” BMJ 370 (2020).

  • Espinosa-Gonzalez, Ana Belen, Ana Luisa Neves, Francesca Fiorentino, Denys Prociuk, Laiba Husain, Sonny Christian Ramtale, Emma Mi et al. “Predicting risk of hospital admission in patients with suspected COVID-19 in a community setting: protocol for development and validation of a multivariate risk prediction tool.” JMIR Research Protocols 10, no. 5 (2021): e29072.

  • Rushforth, Alex, Emma Ladds, Sietse Wieringa, Sharon Taylor, Laiba Husain, and Trisha Greenhalgh. “Long Covid–the illness narratives.” Social Science & Medicine 286 (2021): 114326.

  • Callan, Caitriona, Emma Ladds, Laiba Husain, Kyle Pattinson, and Trisha Greenhalgh. “‘I can’t cope with multiple inputs’: a qualitative study of the lived experience of ‘brain fog’ after COVID-19.” BMJ Open 12, no. 2 (2022): e056366.

  • Husain, Laiba, Trisha Greenhalgh, Gemma Hughes, Teresa Finlay, and Joseph Wherton. “Desperately seeking intersectionality in digital health disparity research: narrative review to inform a richer theorization of multiple disadvantage.” Journal of Medical Internet Research 24, no. 12 (2022): e42358.

  • Greenhalgh, Trisha, Shaw SE, Nishio AA, Booth A, Byng R, Clarke A, Dakin F, Davies R, Faulkner S, Hemmings N, Husain L. “Protocol: Remote care as the ‘new normal’? Multi-site case study in UK general practice.” NIHR Open Research 2 (2022): 46.

  • Wieringa, Sietse, Ana Luisa Neves, Alexander Rushforth, Emma Ladds, Laiba Husain, Teresa Finlay, Catherine Pope, and Trisha Greenhalgh. “Safety implications of remote assessments for suspected COVID-19: qualitative study in UK primary care.” BMJ Quality & Safety 32, no. 12 (2023): 732–741.

  • Husain, Laiba, Teresa Finlay, Arqam Husain, Joseph Wherton, Gemma Hughes, and Trisha Greenhalgh. “Developing user personas to capture intersecting dimensions of disadvantage in older patients who are marginalised: a qualitative study.” British Journal of General Practice 74, no. 741 (2024): e250–e257.

  • Husain, Laiba, and Trisha Greenhalgh. “Examining Intersectionality and Barriers to the Uptake of Video Consultations Among Older Adults From Disadvantaged Backgrounds With Limited English Proficiency: Qualitative Narrative Interview Study.” Journal of Medical Internet Research 27 (2025): e65690.

Conclusion

Dr. Laiba Husain exemplifies a rising leader in public health and implementation science, blending academic rigor with a profound commitment to community-centered research. With a strong foundation in interdisciplinary education and diverse professional roles, she contributes meaningfully to equitable healthcare delivery, especially for underrepresented populations. Her achievements across research, teaching, and consultancy reflect her drive to translate theory into impactful practice. As she continues her scholarly journey at UT Southwestern, Dr. Husain remains poised to influence the next generation of health policy and practice through innovation, inclusion, and evidence-based action.

Carlos Alberto Vasquez Jalpa | Robotics | Best Researcher Award

Published on by AI Data Scientist

Mr. Carlos Alberto Vasquez Jalpa | Robotics | Best Researcher Award

Student at National Polytechnic Institute, Mexico

A multidisciplinary mechanical engineer with a robust foundation in artificial intelligence, robotics, and microelectronics, this researcher has consistently merged hands-on engineering with deep theoretical understanding. From soft robotics to hybrid neural networks, the researcher has demonstrated the ability to innovate across domains, contributing to both academia and industry through projects, leadership, and international collaboration.

Profile

ORCID

Best Researcher Award

This researcher is highly suitable for the “Best Researcher Award” due to a strong combination of practical engineering accomplishments and innovative AI-driven research. Their multidisciplinary expertise, publications, leadership in rocketry and robotics, and contributions to international research efforts highlight a strong profile. They also demonstrate a consistent commitment to global problem-solving through co-creative education and technical application.

Education

The academic journey began with a technical diploma in Industrial Maintenance (2012–2015), followed by a degree in Mechanical Engineering (2015–2020), focusing on hydrogen peroxide separation for soft energy in robotics. The researcher then pursued a Master of Science in Engineering in Microelectronics (2020–2022), with a thesis on neuroevolution of hybrid neural networks in robotic agents, showcasing a progression from mechanical systems toward intelligent automation and AI applications.

Experience

With experience spanning design, AI development, and international academic collaboration, the researcher held several significant roles. As an AI Developer at INNOVA 3D Mexico, they led neural network deployments across robotic platforms. They designed hybrid neural networks at ESIME Culhuacan, contributing to global institutions like the Tokyo University of Electro-communications and the University of Science and Technology of China. As a mechanical designer at Ticsa Grupo EPM, they led water treatment design projects, and at Antares Space, they led advanced rocketry designs and CAD optimization efforts.

Research Interest

Their research interests center on artificial intelligence, robotics, neural network design, and hybrid neuroevolution models. They are particularly focused on applying deep reinforcement learning to robotic systems and using soft robotics as a sustainable alternative in automation. Their interests also extend into IoT, electronics, and precision engineering tools, enabling cross-domain innovations.

Publication

A significant contribution to academic literature includes the publication titled “A deep reinforcement learning algorithm based on modified Twin delay DDPG method for robotic applications,” which was presented at the 21st International Conference on Control, Automation and Systems in 2021. This research explored enhanced reinforcement learning strategies tailored to robotic systems, highlighting the author’s advancement of practical AI applications in control systems.

Conclusion

This researcher exemplifies technical excellence, global collaboration, and innovative research. Their ability to transition between mechanical systems and advanced AI frameworks, paired with leadership roles in research and engineering, positions them as a compelling candidate for the “Best Researcher Award.” With a consistent trajectory toward impactful, interdisciplinary problem-solving, their contributions have set a strong foundation for future breakthroughs in intelligent systems and robotics.

Cristiano Andre da Costa | Interoperability, AI and IoT | Best Researcher Award

Published on by AI Data Scientist

Prof. Cristiano Andre da Costa | Interoperability, AI and IoT | Best Researcher Award

Full Professor at University of the Sinos River Valley, Brazil

Cristiano André da Costa is a seasoned academic and researcher with over two decades of contributions in applied computing. He serves as a full professor and heads the SOFTWARELAB, an innovation hub focusing on software solutions. His academic journey spans national and international institutions, including a visiting professorship in Germany, and he holds extensive experience in guiding research, innovation, and industry collaboration.

Profile

Scopus | ORCID | Google Scholar

Best Researcher Award

Cristiano Costa is highly suited for the “Best Researcher Award” due to his exemplary contributions to artificial intelligence and applied computing in healthcare. His research bridges academia and industry, reflected in his leadership of innovation-driven projects, high citation metrics, and impactful scholarly output. His recognition as a CNPq Productivity Researcher further reinforces his eligibility.

Education

He holds both a Master’s and a Ph.D. in Computer Science from Universidade Federal do Rio Grande do Sul (UFRGS), Brazil. These qualifications laid a strong foundation for his career in academic research, teaching, and cross-disciplinary collaboration.

Experience

Since 2000, he has been affiliated with Universidade do Vale do Rio dos Sinos. He has directed several interdisciplinary projects, including digital health and blockchain technologies, and has acted as a consultant for top-tier companies such as Dell, SAP, Siemens Healthineers, and Santander Bank. His academic leadership includes editorial roles and extensive supervision of postgraduate research.

Research Interest

His primary research interests lie in distributed and mobile computing, Internet of Things (IoT), semantic interoperability, and artificial intelligence, with a special emphasis on applications in digital health. He has also contributed significantly to machine learning, computer vision, and deep learning models, particularly in health data analytics.

Publication

  • 2025 – IEEE Pervasive Computing
    Title: Breaking Down the Data Path in Digital Health: From Edge to Fog and Beyond

  • 2025 – Clinical & Biomedical Research
    Title: Inequalities and risk factors of COVID-19 patients with Down syndrome: a Brazilian cross-sectional, analytical-exploratory study

  • 2025 (February) – The International Journal of Advanced Manufacturing Technology
    Title: Digital twin for product design collaboration: a systematic literature review

  • 2024 (December) – Expert Systems with Applications
    Title: CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions

  • 2024 (November) – Internet Technology Letters
    Title: On proposing an intelligent model for tracking agrochemicals

  • 2024 (August) – Computers and Electrical Engineering
    Title: A method to predict the percentage of biodegradation in polymeric materials

  • 2024 (July) – Expert Systems with Applications
    Title: SOAP classifier for free-text clinical notes with domain-specific pre-trained language models

Viorel Ordeanu | Medicine | Research Excellence Distinction Award

Published on by AI Data Scientist

Prof. Dr. Viorel Ordeanu | Medicine | Research Excellence Distinction Award

Professor at Titu Maiorescu University, Bucharest, Romania

With a career spanning over five decades, this researcher has made extraordinary contributions to medical, military, and pharmaceutical sciences. Currently a full professor and senior scientific researcher, he has held leadership positions in both academic and military research institutions. His expertise spans microbiology, infectious diseases, public health, and biodefense, marking him as a distinguished scholar in Romania and beyond.

Profile

ORCID

Research Excellence Distinction Award

This candidate demonstrates exemplary achievement in research innovation, academic leadership, and multidisciplinary integration. His sustained contributions to microbiological sciences, particularly in the fields of pharmaceutical microbiology and medical protection against biological threats, are remarkable. He has authored over 230 scientific papers and 38 books or book chapters, led 23 major research projects (including 13 as director), and developed practical biodefense strategies adopted in institutional protocols. These accomplishments clearly position him as a strong and deserving nominee for the “Research Excellence Distinction Award”.

Education

The researcher holds a Doctor of Medicine (1971), and a Ph.D. in Medical Sciences (1983), from reputable Romanian institutions. Over time, he has accumulated academic qualifications including professorships, multiple certifications in clinical microbiology, and scientific ranks up to Researcher I. His training encompasses medical microbiology, epidemiology, internal medicine, hyperbaric medicine, and biochemistry, among others, showing an enduring commitment to continuous professional development.

Experience

His professional trajectory includes serving as a medical officer and laboratory head within military health services, eventually becoming Chief of Microbiology and later heading the Anti-Infectious Medical Protection Laboratory. He has been a professor at leading Romanian medical universities and a long-standing scientific researcher at the Cantacuzino Institute and other national research centers. His roles involved teaching, directing doctoral studies, supervising research grants, and authoring institutional manuals on biological protection and microbiology.

Research Interest

His primary research interests include pharmaceutical microbiology, antimicrobial resistance, infectious disease control, biodefense mechanisms, and the development of innovative decontamination solutions. He has focused particularly on protection against biological weapons, integrating clinical microbiology with national defense. His academic work bridges medicine and military applications, fostering advancements in public health resilience and emergency medical strategies.

Publications

He has published 57 ISI-indexed journal articles (41 as lead author) between 1999 and 2024, with notable journals such as Antibiotics-Basel (2024, 2023), Pharmaceuticals Basel (2023), Romanian Journal of Military Medicine (multiple entries from 2013–2022), and Revista Farmacia.

  • “Phyocgemical Screening and Antibacterial Activity…” in Antibiotics-Basel, 2024

  • “Antibacterial and Antibiofilm Effects of Essential Oils” in Antibiotics-Basel, 2023

  • “Medical Intervention in the Biological Attack with Bacillus anthracis” in Rom. J. Mil. Med., 2022

  • “COVID-19 Pandemic: A Global Statistical Interpretation” in Rom. J. Mil. Med., 2022

  • “Synthesis and Testing of Decontaminants Based on Quaternary Ammonium Compounds” in Revista de Chimie, 2015

Saba Inam | Mathematics | Best Researcher Award

Published on by AI Data Scientist

Dr. Saba Inam | Mathematics | Best Researcher Award

Lecturer at Fatima Jinnah Women University, The Mall, Rawalpindi, Pakistan

Dr. Saba Inam is a dedicated academician and researcher in the field of mathematics, with a strong emphasis on cryptography, image encryption, and machine learning. Currently serving as a lecturer, she has contributed extensively to the research ecosystem through her innovative projects, scholarly publications, and supervision of numerous theses at various levels. Her work bridges theoretical mathematics with modern digital security challenges.

Profile

Google Scholar | ORCID | Scopus

Best Researcher Award

Dr. Saba Inam is a highly suitable candidate for the “Best Researcher Award” owing to her consistent research excellence in cryptography, blockchain, and image encryption. Her work reflects a strong interdisciplinary approach, integrating mathematics with advanced technologies such as quantum encryption and AI. The volume, quality, and international impact of her publications, alongside her active engagement in funded projects and academic leadership, make her an exemplary choice for this recognition.

Education

Dr. Inam holds a Ph.D. in Mathematics from Capital University of Science and Technology (2019), an MS in Mathematics from COMSATS Institute of Information Technology (2007), and an M.Sc. in Mathematics from Quaid-i-Azam University (2005). Her educational background is marked by academic distinction and scholarships at each stage, underlining her early and continued dedication to the mathematical sciences.

Experience

Dr. Inam has been a Lecturer in Mathematics at Fatima Jinnah Women University since 2007, with leadership experience as the department Incharge from 2016 to 2018. Additionally, she served as a Research Associate at COMSATS Institute of Information Technology. She has taught courses at Ph.D., MPhil, and undergraduate levels and has supervised over 60 theses collectively across academic levels.

Research Interest

Her research interests include algebraic cryptography, cryptology, quantum encryption, image encryption, blockchain, IoT, deep learning, and fluid mechanics. She is particularly focused on developing secure and innovative encryption schemes for sensitive digital environments such as healthcare and satellite data transmission.

Publication

Dr. Saba Inam has published extensively in high-impact journals.

  • 2025: “Securing face images in UAV networks using chaos and DNA cryptography” – Scientific Reports.

  • 2025: “A novel image encryption scheme based on elliptic curves” – The European Physical Journal Plus.

  • 2025: “A Blockchain-Integrated Chaotic Fractal Encryption Scheme” – Scientific Reports.

  • 2025: “Blockchain-driven medical image encryption using chaotic tent map” – Scientific Reports.

Mohammad Reza Samani | Patient Bed Assignment | Best Researcher Award

Published on by AI Data Scientist

Assist. Prof. Dr. Mohammad Reza Samani | Patient Bed Assignment | Best Researcher Award

Professor at Tarbiat Modares University, Iran

Dr. Mohammad Reza Ghatreh Samani is a distinguished academic and researcher in the field of industrial engineering, currently serving as an Assistant Professor at Tarbiat Modares University, Iran. His research blends healthcare systems optimization, uncertainty modeling, and sustainable logistics, particularly in designing robust decision-support systems under crisis conditions. He has garnered national recognition and awards for his academic excellence and innovative contributions.

Profile

Google Scholar

Best Researcher Award

Dr. Samani is a highly deserving candidate for the Best Researcher Award due to his groundbreaking work in resilient healthcare networks, blood supply chain optimization, and pandemic-response strategies. His research impact is evidenced by a strong portfolio of Q1 journal publications, interdisciplinary collaboration, and continuous recognition as the best researcher at his institution over multiple years. His work not only addresses complex operational problems but also contributes to societal resilience and public health improvement.

Education

Dr. Samani earned his Ph.D. and M.Sc. in Industrial Engineering from Iran University of Science and Technology, with both theses focusing on supply chain modeling under uncertainty. He completed his undergraduate studies at Sharif University of Technology. His academic path has consistently focused on mathematical modeling, network optimization, and real-world applicability in industrial and healthcare systems.

Experience

He brings over a decade of experience in teaching and research, having served as a lecturer and teaching assistant in various optimization and operations research courses. His academic journey includes extensive involvement in advanced operations research, transportation modeling, and healthcare logistics, reflecting both breadth and depth in his domain.

Research Interest

Dr. Samani’s primary research interests lie in healthcare systems engineering, robust and stochastic optimization, supply chain resiliency, and sustainable logistics. He specializes in uncertainty modeling and has developed innovative mathematical approaches to improve decision-making in blood transfusion networks, vaccine distribution, and emergency logistics planning.

Publication

Dr. Samani has published more than 30 peer-reviewed articles, primarily in Q1 journals.

  • 2021 – Transportation Research Part E: “A reactive phase against disruptions for designing a proactive platelet supply network”

  • 2023 – European Journal of Operational Research: “Design of control strategies to help prevent the spread of COVID-19 pandemic”

  • 2023 – Expert Systems With Applications: “Collaborative activities for matching supply and demand in platelet network”

  • 2024 – Computers and Industrial Engineering: “Dynamic optimization of blood collection strategies under uncertainty”

  • 2023 – International Journal of Production Research: “Novel control strategies to prevent vaccine shortages”

  • 2021 – Applied Soft Computing: “Capacity sharing mechanism in blood collection during COVID-19”

  • 2023 – Environment, Development and Sustainability: “Optimizing bioethanol supply chain under risks”
    These publications reflect his expertise in health logistics, disaster response, and sustainable supply chain design.

Shaohua Wu | AI for Science | Best Researcher Award

Published on by AI Data Scientist

Assoc. Prof. Dr. Shaohua Wu | AI for Science | Best Researcher Award

Associate Professor at Dalian University of Technology, China

Dr. Shaohua Wu is a leading expert in reactive flow simulations and multiphase thermofluid systems, serving as an Associate Professor at the Dalian University of Technology. His academic journey spans globally, with research and teaching stints in China, Singapore, and the UK. With over a decade of experience in high-fidelity computational modeling and AI-driven simulations, he has established a significant footprint in both fundamental research and industrial applications in energy and combustion systems.

Profile

Scopus | ORCID | Google Scholar

Best Researcher Award

Dr. Wu is a highly deserving candidate for the “Best Researcher Award” due to his significant contributions to population balance modeling, soot dynamics, and AI-integrated combustion simulations. His innovative methodologies and high-impact publications have enhanced the understanding and design of clean energy systems. Moreover, his leadership in high-profile national and international projects demonstrates his continued influence and excellence in advancing research for energy sustainability and environmental impact reduction.

Education

Dr. Wu completed his Ph.D. in Thermodynamics from the National University of Singapore in 2018 with joint training at the University of Cambridge. He earned his M.A. and B.S. from Tianjin University in Power Machinery and Thermal Energy Engineering, respectively. His cross-institutional and interdisciplinary education has laid a robust foundation for his advanced simulation and modeling expertise in energy systems.

Experience

Currently an Associate Professor and Ph.D. supervisor, Dr. Wu leads a research group on multiphase reactive flows at Dalian University of Technology. He has served as a Research Fellow at the National University of Singapore and as a Research Associate at the University of Cambridge. His work spans industrial collaborations, governmental funded research, and innovative AI applications in energy systems.

Research Interest

Dr. Wu’s research centers around computational fluid dynamics for multiphase and reactive flow systems, particularly in propulsion and power generation. He integrates population balance modeling, chemical kinetics, and AI-enhanced simulation tools to investigate complex particulate and soot dynamics. His current focus includes machine learning-driven flow simulations, chemical mechanism reduction, and thermal system optimization.

Publications

Dr. Wu has authored numerous high-impact journal articles. Key recent publications include:

  • “A tri-variate moment projection method for multi-dimensional particle population balance dynamics,” Journal of Aerosol Science, 2024.

  • “An efficient data-driven approach for reactivity-controlled compression ignition engine,” International Journal of Hydrogen Energy, 2024.

  • “Analysis of soot formation in diesel engines fueled by biofuel blends,” Fuel, 2024.

  • “Efficient simulation of soot particle processes in diesel engines,” Applied Energy, 2020.

  • “Development of a compact kinetic mechanism for furan biofuels combustion,” Fuel, 2021.
    These works reflect his blend of deep theoretical insight and practical application, especially in clean combustion and particle modeling.

Soocheol Kim | Optical Sensor | Best Researcher Award

Published on by AI Data Scientist

Mr. Soocheol Kim | Optical Sensor | Best Researcher Award

Senior Researcher at Electronics and Telecommunications Research Institute, South Korea

Soocheol Kim is a dedicated senior researcher at the Electronics and Telecommunications Research Institute (ETRI), actively contributing to the fields of optical imaging and sensor technologies. His academic background in mechanical engineering and professional experience reflect a solid commitment to advancing next-generation imaging systems. His work is distinguished by innovative contributions to practical applications across sectors such as safety, healthcare, and industrial monitoring.

Profile

Scopus

Best Researcher Award

Soocheol Kim’s innovative contributions and consistent research output make him a compelling candidate for the “Best Researcher Award.” His role in developing imaging surveillance equipment capable of functioning under adverse weather conditions and his strong publication, patent, and industry project record demonstrate his excellence in translating research into impactful solutions. His achievements align with the award’s intent to recognize outstanding researchers transforming scientific knowledge into societal benefit.

Education

He earned his Bachelor of Science in Mechanical Engineering from Korea Aerospace University in 2013. He pursued his postgraduate education at Yonsei University, receiving his M.S. in 2015 and Ph.D. in 2020, both in Mechanical Engineering. His academic foundation supports his advanced research in optical technologies and systems.

Experience

Since 2020, Soocheol Kim has served as a Senior Researcher at ETRI. He has completed nine major research projects and is currently engaged in one. He has also led five industry-sponsored consultancy projects. His strong portfolio includes contributions to imaging technologies for security and surveillance applications, particularly in detecting aerial threats under difficult environmental conditions.

Research Interest

His primary research focus lies in optical imaging technologies and sensor development. This includes bio-microscopy imaging, biosensors, and fire detection systems, with special attention to innovations that improve performance in real-world, critical applications such as public safety, health diagnostics, and environmental monitoring.

Publication

  • “LED Array-Based Multi-Angle Light Scattering for Aspirating Smoke Detection and Classification” July 2025

  • “Design and Implementation of Multi-Dimensional Convergence Information Platform Based on Spatial and Disaster Safety Information” March 2024

  • “Multiple-Scattering-Based Optical Simulation for Analyzing Response Characteristics of Photoelectric Smoke Detectors” December 2023

  • “Time Series Classification with Multiple Wavelength Scattering Signals for Nuisance Alarm Mitigation” December 2023

  • “Smoke Particle-Source Prediction Model Based on Multiple Optical Wavelengths Using Deep Learning” June 2023

  • “Spectrometer-Based Wavelength Interrogation SPR Imaging via Hadamard Transform” February 2023

Esra Amoura | Craniofacial Reconstructive Surgery | Best Researcher Award

Published on by AI Data Scientist

Dr. Esra Amoura | Craniofacial Reconstructive Surgery | Best Researcher Award

Dental Core Trainee OMFS/ Clinical Lecturer in Oral Medicine at Sheffield Teaching Hospital, United Kingdom

Dr. Esra B. Amoura is an accomplished academic and clinical professional in the field of oral and maxillofacial medicine, combining her expertise in dentistry, diagnostic pathology, and oncology research. Currently serving as a Clinical Lecturer in Oral Medicine at the University of Manchester, she has made significant contributions to the understanding of head and neck cancers, specifically mucoepidermoid carcinoma. Her career reflects a unique integration of clinical care, research excellence, and academic mentorship.

Profile

ORCID

Education

Dr. Amoura holds a Ph.D. in Oral Pathology from the University of Sheffield (2021), where her research explored the expression and function of the CRTC1-MAML2 fusion protein in mucoepidermoid carcinoma. She completed a Master of Medical Science in Diagnostic Oral Pathology in 2014 and earned her Bachelor of Dental Surgery with distinction from the University of Tripoli in 2006. Her academic journey is marked by excellence and dedication to advancing oral cancer research.

Experience

With a progressive trajectory from a demonstrator in Libya to her current lecturer position in the UK, Dr. Amoura has accumulated extensive clinical and academic experience. She served as a Research Associate at the University of Sheffield and held several Dental Core Training roles across Oral Medicine and Maxillofacial Surgery units in Sheffield. Her teaching portfolio spans both undergraduate and postgraduate levels, covering clinical teaching, practical demonstrations, and module lectures across various dental disciplines.

Research Interest

Dr. Amoura’s research focuses on molecular oncology in head and neck cancers, particularly mucoepidermoid carcinoma. Her investigations emphasize the molecular mechanisms involving the CRTC1-MAML2 translocation and its role in tumor biology. She is also interested in clinical case presentations related to oral pathology, oral medicine, and reconstructive oral surgery, often linking translational research with patient care.

Publication

Dr. Amoura’s research output includes impactful publications that reflect her commitment to advancing scientific knowledge:

  1. 2021 – “In Situ Detection of the CRTC1-MAML2 Translocation Expression in Mucoepidermoid Carcinoma”, published abstract (Amoura et al.).

  2. 2021 – “An Investigation into the Expression and the Role of the CRTC1-MAML2 Fusion Protein in MEC”, Ph.D. thesis, University of Sheffield.

  3. 2020 – “TrkB-targeted therapy for Mucoepidermoid Carcinoma”, co-authored in collaboration with international researchers (Wagner et al.).

  4. 2023 – “Submandibular Foregut Duplication Cyst: A case report”, BAOMS Annual Scientific Meeting, London.

  5. 2023 – “Fibula Free Flap Vascular Pedicle Calcification”, presented at BAOMS Annual Scientific Meeting, London.

These publications underscore her international collaborative efforts and contributions to oral cancer biology and clinical pathology.