Month: January 2025

Education :

Dr. Chang-Hyun Sohn holds a Ph.D. in Mechanical Engineering from KAIST, South Korea, earned in 1991. He also completed his Master’s in Mechanical Engineering at KAIST in 1985 and obtained his Bachelor’s in Mechanical Engineering from Kyungpook National University, South Korea, in 1983. His strong educational foundation has significantly contributed to his long-standing career in academia and research.

Experience :

Dr. Sohn has been a professor at Kyungpook National University since 1994, where he is a key faculty member in the School of Mechanical Engineering. He served as the Team Manager for the Agency for Defense Development (ADD) in the development of small jet engines from 1991 to 1994. His academic influence extends internationally through his visiting professorships at the University of Cambridge (UK) in 1996-1997 and the University of Tennessee, Knoxville (USA) in 2005-2006. Dr. Sohn also held leadership roles at Kyungpook National University, including Vice Dean of the College of Engineering (2007-2008), Director of the Industrial-University Consortium Center (2007-2008), and Director of the Industrial Technology Support Hotline Center (2007-2008). Additionally, he was the President of the Faculty Assembly at Kyungpook National University (2012-2013) and held leadership positions in professional organizations such as the Korean Society of Mechanical Engineers (KSME) and the Korean Society of Automotive Engineers (KASE).

Research Focus :

Dr. Sohn’s research primarily focuses on thermal-fluid dynamics, computational fluid dynamics (CFD), and flow-induced vibrations. He has extensively studied the behavior of fluid flows under various thermal conditions and developed novel techniques for accurately measuring these flows using PIV. His work contributes to enhancing the understanding of flow phenomena in mechanical engineering, which is crucial for improving designs and systems in industries ranging from automotive to defense.

Awards:

Throughout his career, Dr. Sohn has received numerous awards recognizing his excellence in research and teaching. Notable honors include the Outstanding Paper Award from the Korean Society for Computational Fluid Engineering in 2010 and the Best Paper Award from the Korean Society of Mechanical Engineers in the same year. He also advised the winning team at the National Fluid Engineering Competition for University Students in 2010 and was selected as an Outstanding Portfolio Instructor at Kyungpook National University. Additionally, Dr. Sohn was invited as a speaker at prominent international conferences, including the 14th International Bhurban Conference on Applied Sciences & Technology (IBCAST) in 2016 and the 44th National Conference on Fluid Mechanics and Fluid Power (FMFP) in 2017.

Skills:

Dr. Sohn specializes in computational fluid dynamics (CFD) analysis of thermal-fluid flow phenomena. His expertise extends to the use of Particle Image Velocimetry (PIV) for measuring thermal-fluid flow and investigating flow-induced vibrations. These skills have led to significant contributions in both theoretical and experimental research, particularly in the field of thermal-fluid engineering.

Publication :

Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps
- Authors: S. Saleh, C.H. Sohn
- Journal: Actuators
- Volume & Issue: 14 (2), 62
- Year: 2025

Enhanced Power Extraction via Hybrid Pitching Motion in an Oscillating Wing Energy Harvester with Leading Flap
- Authors: S. Saleh, C.H. Sohn
- Journal: Energies
- Volume & Issue: 17 (23), 6108
- Year: 2024

Wetting performance analysis of porosity distribution in NMC111 layered electrodes in lithium-ion batteries using the Lattice Boltzmann Method
- Authors: M. Abubaker, C.H. Sohn, H.M. Ali
- Journal: Energy Reports
- Volume & Issue: 12, 2548-2559
- Year: 2024

Reduction of delivery pressure fluctuations in a gerotor pump
- Authors: K. Nazir, C.H. Sohn
- Journal: Journal of Mechanical Science and Technology
- Volume & Issue: 38 (8), 4161-4166
- Year: 2024

Numerically Investigating the Energy-Harvesting Performance of an Oscillating Flat Plate with Leading and Trailing Flaps
- Authors: S. Saleh, C.H. Sohn
- Journal: Energies
- Volume & Issue: 17 (12), 3010
- Year: 2024

Wetting characteristics of Li-ion battery electrodes: Impact of calendaring and current collector contact angle-A Lattice Boltzmann Method investigation
- Authors: M. Abubaker, C.H. Sohn, H.M. Ali
- Journal: Energy Reports
- Volume & Issue: 11, 2333-2345
- Year: 2024

Power Extraction Performance by a Hybrid Non-Sinusoidal Pitching Motion of an Oscillating Energy Harvester
- Authors: S. Saleh, C.H. Sohn
- Journal: Energies
- Volume & Issue: 17 (11), 2451
- Year: 2024

Understanding wetting behavior in electrode–electrolyte interface formation and its sensitivity to electrode-current collector interaction: a lattice Boltzmann method approach
- Authors: M. Abubaker, C.H. Sohn, H.M. Ali
- Journal: Journal of Thermal Analysis and Calorimetry
- Year: 2024

Stamatios Lerakis| Low flow aortic | Best Researcher Award

Posted on 31/01/2025 by 21b4bddf87157652317827146367558f

Prof. Stamatios Lerakis| Low flow aortic | Best Researcher Award

Director Noninvasive Cardiology, Mount Sinai Fuster Heart Hospital, United States.

rof. Stamatios Lerakis is an outstanding candidate for the Best Researcher Award, with his profound impact on cardiovascular imaging and structural heart interventions. His work has directly influenced patient care, procedural safety, and clinical decision-making in transcatheter therapies.

Publication Profile

Education :

Dr. Stamatios Lerakis completed his Doctor of Medicine (MD) degree at the Medical School of Athens, Greece, in 1998. He pursued further training and specialization through a series of fellowships and residencies. His early research in Nuclear Cardiology was conducted at Mount Sinai Medical Center, New York, in 1991. He then completed his residency in Internal Medicine at the Presbyterian Medical Center, Philadelphia, in 1994, followed by a Critical Care Medicine Fellowship at Miriam Hospital, Brown University, in 1995. His Cardiology Fellowship was undertaken at the University of Texas Medical Branch in 1998, and he further specialized in Echocardiography at Emory University in 1999.

Experience :

Dr. Lerakis has had an extensive academic and clinical career. He is currently a Professor of Medicine (Cardiology) at the Icahn School of Medicine at Mount Sinai and holds the role of Director of Noninvasive Cardiology at Mount Sinai Heart. He is also the Director of Imaging for Structural and Valve Interventions at Mount Sinai Health System. Previously, he was a Professor of Medicine, Radiology, and Imaging Sciences at Emory University School of Medicine, where he also directed multiple cardiovascular imaging programs, including Nuclear Cardiology, Cardiac MRI, and advanced imaging fellowships. His prior roles include Adjunct Professor at Georgia Tech and Emory, and Assistant Professor at the National and Kapodistrian University of Athens. Over the years, he has played a pivotal role in imaging for structural heart interventions and has been a principal investigator in multiple clinical trials.

Research Focus :

Dr. Lerakis’ research primarily focuses on the advancement of multimodality imaging techniques for cardiovascular interventions. His work has significantly contributed to the understanding and improvement of imaging in transcatheter aortic and mitral valve interventions. He has been instrumental in developing imaging protocols to predict, detect, and manage complications in structural heart procedures. Additionally, he has played a crucial role in advancing guidelines for the evaluation of valvular regurgitation and transcatheter heart valve procedures. His research contributions include nearly 300 publications, covering topics such as echocardiographic imaging in interventional cardiology, cardiac MRI applications, and risk stratification methodologies.

Awards:

Dr. Lerakis has received several prestigious awards in recognition of his contributions to cardiology and medical imaging. Notable honors include the Distinguished Physician Award from Emory University in 2017 and the Gerald Pohost Journal Cardiac Magnetic Resonance Best Manuscript Award in 2010. He has also been honored multiple times for excellence in teaching, receiving awards from Emory University’s Cardiology Fellowship Program between 2001 and 2003.

Skills:

Dr. Lerakis is a leading expert in multimodality cardiac imaging, with Level III training and board certifications in all cardiac imaging modalities. His expertise spans echocardiography, cardiac MRI, CT imaging, nuclear cardiology, and transcatheter imaging for structural and valve interventions. He has extensive experience in guiding complex cardiac procedures using advanced imaging techniques. His contributions to the field include pioneering imaging methods for transcatheter aortic valve replacement (TAVR) and mitral valve interventions.

Publication :

In Vivo Frame Geometry of the Navitor Intra-Annular Self-Expanding Valve: A First-in-Human CT Analysis
- Authors: Tang, G.H.L., Kobari, Y., Vinayak, M., De Backer, O., Khera, S.
- Journal: JACC: Cardiovascular Interventions
- Year: 2025
- Volume: 18, Issue 1, Pages 138–140
- Citations: 0

Effects of Aortic Valve Calcification on Transcatheter Aortic Valve Replacement for Low-Flow, Low-Gradient Aortic Stenosis
- Authors: Singh, R., Prakash, Y., Chopra, L., Kini, A., Lerakis, S.
- Journal: Cardiovascular Revascularization Medicine
- Year: 2025
- Citations: 0

Redo Transcatheter Aortic Valve Replacement in a Young Patient with Congenital Aortic Valve Disease
- Authors: Tanner, R., Prandi, F.R., Tang, G.H.L., Lerakis, S., Kini, A.S.
- Journal: Journal of Invasive Cardiology
- Year: 2025
- Volume: 37, Issue 1
- Citations: 0

Structural Heart Imaging Using 3-Dimensional Intracardiac Echocardiography: JACC: Cardiovascular Imaging Position Statement
- Authors: Tang, G.H.L., Zaid, S., Hahn, R.T., Zahr, F.E., von Bardeleben, R.S.
- Journal: JACC: Cardiovascular Imaging
- Year: 2025
- Volume: 18, Issue 1, Pages 93–115
- Citations: 4

Relationship Between Severity of Ischemia and Coronary Artery Disease for Different Stress Test Modalities in the ISCHEMIA Trial
- Authors: Reynolds, H.R., Page, C.B., Shaw, L.J., Sharma, P., Siddaram, H.
- Journal: Circulation: Cardiovascular Interventions
- Year: 2024
- Volume: 17, Issue 12, Article e013743
- Citations: 0

Association of Systemic Inflammatory Response Syndrome with Cardiovascular Events After Mitral Transcatheter Edge-to-Edge Repair
- Authors: Mannina, C., Sharma, A., Carbone, A., Kini, A., Lerakis, S.
- Journal: Journal of the American Heart Association
- Year: 2024
- Volume: 13, Issue 22, Article e036539
- Citations: 0

Single-Leaflet Device Attachment After Mitral Transcatheter Edge-to-Edge Repair: Systematic Review and Meta-Analysis
- Authors: Bhatia, K., Gupta, S., Carter, K., Lerakis, S., Argulian, E.
- Journal: JACC: Cardiovascular Interventions
- Year: 2024
- Volume: 17, Issue 21, Pages 2571–2574
- Citations: 0

Do We Still Need Intra-Procedural TTE During Transcatheter Aortic Valve Replacement? A High Volume, Single Center Experience
- Authors: Granot, Y.N., Passaniti, G., Prandi, F.R., Kini, A., Lerakis, S.
- Journal: Cardiovascular Revascularization Medicine
- Year: 2024
- Volume: 68, Pages 1–5
- Citations: 0

Right Coronary Artery Obstruction Following Transcatheter Aortic Valve Replacement by Aortic Valve Mass
- Authors: Maidman, S.D., Prandi, F.R., Krishnamoorthy, P., Kini, A.S., Lerakis, S.
- Journal: Journal of Invasive Cardiology
- Year: 2024
- Volume: 36, Issue 10
- Citations: 0

Afsaneh Soleimani | Agriculture Robots | Best Researcher Award

Posted on 31/01/2025 by 21b4bddf87157652317827146367558f

Ms. Afsaneh Soleimani | Agriculture Robots | Best Researcher Award

Researcher, Ferdowsi University of Mashhad, Amman, Afghanistan.

Ms. Afsaneh Soleimani is a highly accomplished researcher in Biosystems Engineering with a strong academic background and a focus on agricultural machine design and optimization. Her work integrates mechanical engineering, machine learning, and agricultural mechanization, making significant contributions to the field. Her research outputs, including numerous high-impact journal publications, demonstrate her dedication to scientific advancements in her domain.

Publication Profile

Education :

Afsaneh Soleimani holds a Master of Science (M.S.) in Biosystems Engineering with a specialization in Design and Manufacturing from Ferdowsi University of Mashhad, Iran. She completed her M.S. with an outstanding GPA of 19.18 out of 20 between March 2020 and February 2023. Her master’s thesis, titled “Designing and Modeling Power Transmission Mechanism for Existing Walking Tractors to Facilitate Their Guiding and Turning,” was graded 20 out of 20 (A) under the supervision of Full Professor Mohammad Hossein Abbaspour-Fard, Professor Abbas Rohani, and advisor Full Professor Mohammad Hossein Aghkhani. Prior to this, she earned her Bachelor of Science (B.S.) in Biosystems Engineering (Design and Manufacturing) from the same institution, graduating with a GPA of 17.70 out of 20 between September 2015 and September 2019.

Experience :

Afsaneh has held various academic and research positions. She served as a Researcher and Reviewer at the 14th National Congress of Mechanical Engineering of Biosystems and Mechanization of Iran, held at Kermanshah University in 2022. She was also the Office Manager at the Department of Biosystems Engineering, Ferdowsi University of Mashhad, from September 2022 to October 2023. Additionally, she has been involved in multiple research projects, including investigating the problems of walking tractors in saffron fields as a case study in Mashhad (2021–2022). Earlier in her career, she worked as a Math Teacher at a boys’ primary school in Mashhad (2019–2021) and completed an internship at Iran Khodro Khorasan (2018–2019).

Research Focus :

Afsaneh Soleimani’s research is centered on the design and optimization of agricultural machinery, particularly walking tractors and robotics used in farming applications. Her work incorporates advanced techniques such as Artificial Neural Networks, Genetic Algorithms, Finite Element Analysis, and Soft Computing Approaches. She specializes in the structural optimization of agricultural robots, frictional mechanism design, and machine learning applications in mechanical engineering. Her research has led to the development of innovative control systems, including a combined fuzzy/PID controller for tractor stability on side slopes. Additionally, she has contributed significantly to the field of power transmission mechanism design and topology optimization of rough-terrain agricultural robots.

Awards:

Afsaneh has been recognized for her academic excellence with several prestigious awards. She ranked 19th nationwide in the Iranian University Entrance Examination for M.Sc. Biosystems Engineering among 2,000 participants in 2020. She was awarded a full scholarship for both her M.Sc. and B.Sc. programs by the Ministry of Science, Research, and Technology, Iran, in recognition of her academic performance. Additionally, she has secured a patent for her innovative cone clutch design on the rotary axle of two-wheel tractors to facilitate steering and turning (Iran, 2024).

Skills:

Afsaneh possesses a strong command of engineering design and simulation tools, including CATIA and SolidWorks for mechanical design and modeling. She is proficient in programming languages such as MATLAB and Python and has experience with simulation software like ANSYS Workbench. Her expertise extends to data analysis using Origin, Minitab, and MS Office tools. She is also skilled in scientific writing and research management methodologies.

Publication :

The Soft Computing Approaches in Optimising Multi-Objective Mechanical Design of a Weeding Robot”
- Author: Afsaneh Soleimani
- Journal: Smart Agricultural Technology
- Year: 2024
- Article ID: 100674
- DOI: 10.1016/j.atech.2024.100674
“Designing and Modeling the Power Transmission Mechanism for Existing Walking Tractors to Facilitate Their Guidance and Turning”
- Authors: Afsaneh Soleimani, Mohammad Hossein Abbaspour-Fard, Abbas Rohani, Mohammad Hossein Aghkhani
- Journal: International Journal on Interactive Design and Manufacturing
- Year: 2024
- Pages: 2429–2448
- DOI: 10.1007/s12008-023-01516-0
“Optimising the Steering Clutch of a Walking Tractor Using Soft Computing Approaches”
- Authors: Afsaneh Soleimani, Baradaran Motie J.
- Journal: Australian Journal of Mechanical Engineering
- Year: 2024
- DOI: 10.1080/14484846.2024.1234567

Conclusion:

Ms. Afsaneh Soleimani is an exceptional candidate for the Best Researcher Award. Her impressive academic achievements, high research output, and innovative contributions to agricultural engineering and machine learning applications make her a strong contender. By addressing areas such as international collaboration, research funding, and industry engagement, she can further enhance her profile as a leading researcher. Given her credentials and demonstrated research excellence, she is highly deserving of this recognition

Ahmad ali | Supply Chain | Best Researcher Award

Posted on 30/01/202530/01/2025 by 21b4bddf87157652317827146367558f

Dr. Ahmad ali | Supply Chain | Best Researcher Award

assistant professor, Business Faculty, Middle East University, Amman, Jordan, Jordan.

Dr. Ahmad Ali demonstrates strong academic credentials and engagement in administrative roles, with emerging research contributions in supply chain management. However, to be a stronger candidate for the Best Researcher Award, he should expand his research impact by publishing in high-impact journals, increasing citations, securing research grants, and engaging in academic networking through conferences and mentorship.

Publication Profile

Education :

Dr. Ahmad Ali Atieh Ali holds a Ph.D. in Supply Chain Management from Utara University Malaysia (2024). He earned his Master’s degree in Business Administration (2019) from Amman Arab University and completed his Bachelor’s degree in Business Administration (2017) from Al-Ahliyya Amman University. His academic journey reflects a strong foundation in business administration, supply chain resilience, and digital transformation strategies.

Experience :

Dr. Ahmad Ali Atieh Ali is currently an Assistant Professor at Middle East University, where he specializes in Digital Supply Chains Management. Alongside his academic role, he serves as the Supply Chain Management Coordinator, a Member of the Library Committee, and a Student Activities Liaison Officer for the academic year 2024/2025. His work integrates research, teaching, and administrative leadership, contributing to the advancement of digital supply chain education and strategic industry collaborations.

Research Focus :

Dr. Ahmad Ali’s research revolves around digital supply chains, supply chain resilience, artificial intelligence in supply chain management, and sustainability. His studies explore the impact of digital transformation, automation, and data integration on supply chain performance, as well as AI applications in supply chain collaboration and decision-making. His work contributes to developing sustainable and resilient supply chain models in the era of Industry 4.0.

Awards:

Dr. Ahmad Ali has received multiple recognitions for his academic and research excellence, including:Certified in Warehouse Management Systems (WMS) – HP (2020),Outstanding Reviewer Awards – Journal of Supply Chain Management Research (2022 – Present),Editorial & Reviewer Memberships in leading business and supply chain journals

Skills:

Dr. Ahmad Ali possesses a diverse skill set encompassing:,Supply Chain Management & Digital Transformation,Artificial Intelligence Applications in Logistics,Inventory & Warehouse Management Systems (WMS),Data Analytics & Decision Support Systems,Sustainability and Resilience in Supply Chains,Academic Research & Peer Review

Publication :

Title: The Impact of Digital Marketing on the Performance of SMEs: An Analytical Study in Light of Modern Digital Transformations
- Authors: Sharabati, A.-A.A., Ali, A.A.A., Allahham, M.I., Alheet, A.F., Mohammad, A.S.
- Journal: Sustainability (Switzerland)
- Year: 2024
- Volume/Issue: 16(19), 8667
- Citations: 0

Title: The Role of Digital Supply Chain on Inventory Management Effectiveness within Engineering Companies in Jordan
- Authors: Ali, A.A.A., Fayad, A.A.S., Alomair, A., Al Naim, A.S.
- Journal: Sustainability (Switzerland)
- Year: 2024
- Volume/Issue: 16(18), 8031
- Citations: 0

Title: The Influence of Social Media Content Marketing on Consumer Engagement: A Mediating of the Role of Consumer Cognition
- Authors: Shkeer, A.S., Sharabati, A.-A.A., Samarah, T., Alqurneh, M.I.M., Ali, A.A.A.
- Journal: International Journal of Data and Network Science
- Year: 2024
- Volume/Issue: 8(4), pp. 2423–2434
- Citations: 0

Title: The Impact of Instagram Content Marketing on Cognitive Engagement, Affection, and Behavior
- Authors: Al-Haddad, S., Sharabati, A.-A.A., Nasereddin, A.Y., Mehyar, O., Ali, A.A.A.
- Journal: International Journal of Data and Network Science
- Year: 2024
- Volume/Issue: 8(4), pp. 2685–2700
- Citations: 0

Title: The Role of Artificial Intelligence on Digital Supply Chain in Industrial Companies Mediating Effect of Operational Efficiency
- Authors: Sharabati, A.-A.A., Awawdeh, H.Z., Sabra, S., Allahham, M., Ali, A.
- Journal: Uncertain Supply Chain Management
- Year: 2024
- Volume/Issue: 12(3), pp. 1867–1878
- Citations: 2

Title: The Impact of Artificial Intelligence and Supply Chain Collaboration on Supply Chain Resilience: Mediating the Effects of Information Sharing
- Authors: Ali, A.A.A., Sharabati, A.-A.A., Alqurashi, D.R., Shkeer, A.S., Allahham, M.
- Journal: Uncertain Supply Chain Management
- Year: 2024
- Volume/Issue: 12(3), pp. 1801–1812
- Citations: 4

Title: The Relationship between Supply Chain Resilience and Digital Supply Chain and the Impact on Sustainability: Supply Chain Dynamism as a Moderator
- Authors: Atieh Ali, A.A., Sharabati, A.-A.A., Allahham, M., Nasereddin, A.Y.
- Journal: Sustainability (Switzerland)
- Year: 2024
- Volume/Issue: 16(7), 3082
- Citations: 11

Title: The Impact of Humanitarian Supply Chain on Non-Government Organizations Performance Moderated by Organisation Culture
- Authors: Ali, A.A.A., Udin, Z.M., Abualrejal, H.M.E.
- Journal: International Journal of Sustainable Development and Planning
- Year: 2023
- Volume/Issue: 18(3), pp. 763–772
- Citations: 1

Title: Age and Gender Classification from Retinal Fundus Using Deep Learning
- Authors: Obaid, T., Abu-Naser, S.S., Abumandil, M.S.S., Mahmoud, A.Y., Ali, A.A.A.
- Book: Lecture Notes on Data Engineering and Communications Technologies
- Year: 2023
- Volume: 179, pp. 171–180
- Citations: 0

Title: The Impact of Artificial Intelligence and Supply Chain Resilience on the Companies Supply Chains Performance: The Moderating Role of Supply Chain Dynamism

Authors: Ali, A.A.A., Udin, Z.B.M., Abualrejal, H.M.E.
Book: Lecture Notes in Networks and Systems
Year: 2023
Volume: 550 LNNS, pp. 17–28
Citations: 8

Namani Deepika Rani| Deep Learning| Best Researcher Award

Posted on 27/01/202527/01/2025 by 21b4bddf87157652317827146367558f

Mrs. Namani Deepika Rani| Deep Learning| Best Researcher Award

Assistant Professor, Koneru Lakshmaiah Education Foundation, India.

Mrs. Namani Deepika Rani is an Assistant Professor at the Koneru Lakshmaiah Education Foundation, India, specializing in Deep Learning. With a strong academic foundation and research focus, she has made significant contributions to the field of Artificial Intelligence, particularly in the areas of machine learning and deep learning models. Mrs. Rani has been recognized with the Best Researcher Award for her outstanding research work and innovative contributions. Her dedication to advancing technology, coupled with her passion for teaching and mentorship, has earned her recognition among her peers in academia and industry.

Publication Profile

Education :

Namani Deepika Rani is currently pursuing a Ph.D. in Computer Science & Engineering at KL University, Vaddeshwaram, Guntur. She completed her M. Tech in Computer Science and Engineering with Distinction from JNTUH Hyderabad, and her B. Tech in Computer Science and Engineering from Shadan Engineering College and Technology, Hyderabad, where she graduated with First Class. She also holds an Intermediate qualification from Narayana Junior College and completed her Xth Class from Oxford Grammar School, both with Distinction.

Experience :

With extensive teaching experience, Namani Deepika Rani has contributed to the field of Computer Science & Engineering as an Assistant Professor at various institutions. She is currently serving at Vardhaman College of Engineering in Shamshabad, Hyderabad, since July 2021. Prior to this, she worked as an Assistant Professor at Lords Institute of Engineering & Technology in Himayath Sagar, Hyderabad, from August 2019 to June 2021, and at Bharat College of Engineering and Technology, Manganpally, Ibrahimpatnam, from October 2018 to August 2019. Her teaching engagements include courses such as Artificial Intelligence, Big Data Analytics, Data Mining, Software Engineering, Design Patterns, Modern Software Engineering, and Agile Project Development.

Research Focus :

Her research interests are primarily focused on areas including machine learning, image processing, cloud infrastructure, and data science. Namani’s work has led to the development of innovative models, such as an improved rank-based recursive feature elimination method for ovarian cancer detection and a web application to identify emerging trends using Scopus and OpenAI APIs. Her expertise extends to developing intelligent systems for cyberbullying avoidance and image dehazing frameworks. She has contributed significantly to advancing healthcare technologies through her research, which is evident in her recent publications and patent applications.

Awards:

Namani Deepika Rani’s work in academia is recognized through her involvement in various professional and academic initiatives. She has been a major contributor to the organization of projects, placements, and extracurricular activities, further enhancing her leadership abilities.

Skills:

Namani possesses strong technical and analytical skills in various cutting-edge areas of Computer Science & Engineering. She is proficient in teaching and applying concepts in Artificial Intelligence, Big Data Analytics, Data Mining, and Cyber Security. With a deep understanding of software engineering principles, she has a demonstrated ability to design and implement modern software development processes. Additionally, she has a solid foundation in Agile project management and design patterns. Namani is also well-versed in research methodologies and has a strong background in publishing articles in reputed journals and conferences.

Publication :

Publication Title: Improved rank-based recursive feature elimination method based ovarian cancer detection model via customized deep architecture
- Authors: Rani, N.D., Babu, M.
- Journal: Computer Methods and Programs in Biomedicine
- Year: 2024
- Volume: 256
- Article Number: 108358
- Citations: 1
Publication Title: Machine Learning based Intelligent Cyberbullying Avoidance System
- Authors: Dhanalakshmi, D., Rani, N.D., Pendam, K., Kukreja, V., Jayakshata, P.
- Conference: International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 – Proceedings
- Year: 2023
- Pages: 1594–1597
- Citations: 1

Conclusion :

Considering her comprehensive contributions to the field of Computer Science & Engineering, her innovative approach towards research, and her continuous efforts in professional development, N. Deepika Rani stands as a strong candidate for the Best Researcher Award. However, she should focus on expanding her research’s reach and visibility through citations, collaborations, and exploring new research avenues to further solidify her position in the academic community.

Forshing Lui| Neuroscience | Best Researcher Award

Posted on 27/01/202527/01/2025 by 21b4bddf87157652317827146367558f

Prof. Forshing Lui| Neuroscience | Best Researcher Award

Professor of Clinical Neurology, California Northstate University, College of Medicine, United States.

Professor Forshing Lui is a distinguished Professor of Clinical Neurology at California Northstate University, College of Medicine, United States. With extensive expertise in neuroscience, he has made significant contributions to clinical neurology and neurological research. Prof. Lui’s groundbreaking work has earned him the prestigious Best Researcher Award, highlighting his dedication to advancing the understanding of neurological disorders. As an esteemed educator and researcher, he continues to inspire students and peers through his impactful work and commitment to medical science.

Publication Profile

Education :

Prof. Forshing Lui completed his M.B.B.S. degree (equivalent to an MD in the US) at the University of Hong Kong Medical School in 1978. He pursued residency in Internal Medicine (1978–1982) at the University of Hong Kong and fellowship training in Neurology (1982–1984) at Newcastle General Hospital, England. Further enhancing his expertise, he completed a residency in Neurology (1995–1999) at UC Davis and is a Fellow of the American Academy of Neurology and the Royal College of Physicians, Edinburgh.

Experience :

With over four decades of clinical and academic experience, Prof. Lui has held prestigious roles including Professor of Neurology and Neurosciences Course Director at California Northstate University, College of Medicine. He served as Chief of Neurology Services at Kaiser Permanente and was an Associate Clinical Professor at UC Davis. His career also includes consultancy for the National Multiple Sclerosis Society and leadership positions in quality assurance and clinical sciences. He is currently an Expert Consultant in Neurology for the Medical Board of California.

Research Focus :

Prof. Lui’s research centers on neurology, with a focus on neurodegenerative diseases, vascular neurology, and the glymphatic system’s role in neurological disorders. He has extensively studied Alzheimer’s disease, multiple sclerosis, and rare neurological syndromes, contributing to advancements in diagnosis and treatment. His work spans publications, case reports, and book chapters, highlighting his dedication to bridging clinical practice and academic research.

Awards & Honors:

Prof. Lui has received numerous accolades, including the A.B. Baker Teacher Recognition Award from the American Academy of Neurology (2022) and multiple “Professor of the Year” awards at CNUCOM (2019–2023). He has been listed in America’s Top Physicians and named among Top Doctors in Neurology by Sacramento Magazine. Early in his career, he earned the John Anderson Memorial Gold Medal for academic excellence and prestigious scholarships, including the Croucher Foundation Fellowship.

Skills:

Prof. Lui possesses exceptional skills in clinical neurology, teaching, and research. He is adept at neuroimaging, quality assurance, and curriculum design in medical education. Additionally, his editorial expertise is reflected in his roles as Editor-in-Chief for journals like Vascular Neurology and Journal of Multidisciplinary Case Reports. His leadership, communication, and analytical abilities have profoundly influenced the neurology field

Publication :

Alzheimer Disease
Authors: A. Kumar, J. Sidhu, F. Lui, J.W. Tsao
Source: StatPearls [Internet]
Citations: 488
Year: 2024

Acute Stroke
Authors: P. Tadi, F. Lui
Source: StatPearls, Treasure Island (FL)
Citations: 312
Year: 2021

Ataxic-Hemiparesis: Localization and Clinical Features
Authors: C.Y. Huang, F.S. Lui
Source: Stroke, 15(2), 363-366
Citations: 83
Year: 1984

Neuroanatomy: Cerebral Cortex
Authors: K. Javed, V. Reddy, F. Lui
Source: StatPearls [Internet]
Citations: 62
Year: 2021

Organ Reserve, Excess Metabolic Capacity, and Aging
Authors: H. Atamna, A. Tenore, F. Lui, J.M. Dhahbi
Source: Biogerontology, 19(2), 171-184
Citations: 62
Year: 2018

Transient Ischemic Attack
Authors: K.K. Panuganti, P. Tadi, F. Lui
Source: StatPearls [Internet]
Citations: 60
Year: 2017

Neuroanatomy: Circle of Willis
Authors: J. Rosner, V. Reddy, F. Lui
Source: StatPearls [Internet]
Citations: 59
Year: 2018

Physiology: Motor Cortical
Authors: D.W. Yip, A.O. Awosika, F. Lui
Source: StatPearls [Internet]
Citations: 55
Year: 2024

MELAS Syndrome
Authors: S. Pia, F. Lui
Source: StatPearls [Internet]
Citations: 55
Year: 2024

Neuroanatomy: Somatic Nervous System
Authors: M.A. Akinrodoye, F. Lui
Source: StatPearls [Internet]
Citations: 52
Year: 2020

Neuroanatomy: Choroid Plexus
Authors: K. Javed, V. Reddy, F. Lui
Source: StatPearls [Internet]
Citations: 41
Year: 2019

Frontal Lobe Syndrome
Authors: L. Pirau, F. Lui
Source: StatPearls [Internet]
Citations: 41
Year: 2018

Wallenberg Syndrome
Authors: F. Lui, P. Tadi, A.C. Anilkumar
Source: StatPearls [Internet]
Citations: 41
Year: 2017

Biochemistry: Endogenous Opioids
Authors: S.S. Shenoy, F. Lui
Source: StatPearls [Internet]
Citations: 40
Year: 2023

Trendelenburg Gait
Authors: V.N. Gandbhir, J.C. Lam, F. Lui, A. Rayi
Source: StatPearls [Internet]
Citations: 38
Year: 2024

Neuroanatomy: Neuron Action Potential
Authors: I. Chen, F. Lui
Source: StatPearls [Internet]
Citations: 35
Year: 2019

Anti-NMDA Receptor Encephalitis
Authors: D. Samanta, F. Lui
Source: StatPearls [Internet]
Citations: 33
Year: 2019

Basilar Artery Thrombosis
Authors: N.E. Reinemeyer, P. Tadi, F. Lui
Source: StatPearls Publishing, Treasure Island (FL)
Citations: 33
Year: 2019

Neuroanatomy: Lateral Corticospinal Tract
Authors: K. Javed, V. Reddy, F. Lui
Source: StatPearls [Internet]
Citations: 33
Year: 2018

Lacunar Stroke
Authors: M. Gore, K. Bansal, M.Z.K. Suheb, F. Lui, R.M.D. Asuncion
Source: StatPearls [Internet]
Citations: 30
Year: 2024.

Conclusion :

Prof. Lui’s expertise, prolific research output, and dedication to advancing neurology make him highly suitable for the Best Researcher Award. To further strengthen his candidacy, he could focus on pioneering large-scale, collaborative research initiatives and publishing in more top-tier journals. His achievements and impact on the field underscore his deservingness of this recognition.

Richard Boudreault | Solid mechanics | Best Researcher Award

Posted on 24/01/202524/01/2025 by 21b4bddf87157652317827146367558f

Prof. Richard Boudreault | Solid mechanics | Best Researcher Award

Adj. Faculty, École Polytechnique Montréal, Canada

Richard Boudreault, a renowned polymath, has excelled across academia, industry, and governance for over four decades. As a visionary leader, he has spearheaded transformative innovation in sustainability, nanotechnology, aerospace, and quantum computing. Boudreault has held over 30 board leadership roles, including federal, provincial, and Indigenous appointments, demonstrating expertise in ESG principles, governance, and strategic oversight. As a C-level executive, he has driven the growth of 19 tech-focused enterprises, with eight acquired by global conglomerates and six achieving significant valuations. An adjunct professor at École Polytechnique and the University of Waterloo, Boudreault has educated and mentored thousands of engineers and scientists. He is also a prolific inventor with 124 patents and 128 publications, reflecting his passion for converting scientific discoveries into viable products. A Fellow of numerous prestigious societies, his contributions span STEM, sustainability, and international science diplomacy, earning him global recognition and numerous prestigious accolades.

Publication Profile

Education :

Richard Boudreault’s education reflects an extraordinary commitment to lifelong learning. Currently pursuing his second doctoral program in Business Administration (DBA) at the University of Sherbrooke, focusing on ESG strategies, he previously earned a doctoral diploma in Strategic Sustainability (2021). His academic credentials also include an MBA in Finance and Innovation Management (1998, GPA 4.09/4.3), an M.Eng. in Mechanical Engineering from Cornell University (1981, GPA 3.78/4), and a B.Sc. in Physics and Earth Science Systems (1979). Boudreault has accumulated advanced certifications from prestigious institutions, including the Wharton School, MIT, Harvard, and the London School of Economics, with expertise in quantum computing, medical devices, governance, and geostrategy. His dedication extends to Indigenous studies, sustainability, and forest physics. A distinguished scholar and Governor General Vanier Scholar, Boudreault’s educational journey underscores his deep expertise in STEM, sustainability, and innovation management.

Experience :

Richard Boudreault has an illustrious career spanning academia, entrepreneurship, and executive leadership. He has initiated and led 19 STEM-focused enterprises, with eight acquired by global leaders and six achieving $100M+ valuations. As CTO of Central Am Nickel and Chief Scientist at CSMC, he leads innovative projects in rare earth mining and quantum technologies. His professorships at École Polytechnique and the University of Waterloo focus on chemical, environmental, and earth sciences. Boudreault’s career highlights include transforming corporations such as Pyrogenesis, Raymor, and Orbite while driving innovations in medical devices and nanotechnology. He chaired Crown agencies like Polar Knowledge Canada and established multiple international research centers. His board roles in over 30 organizations reflect expertise in governance, audit, cybersecurity, and ESG strategies. With a history of leading corporations of 400-5,000 employees, Boudreault’s dynamic career reflects his exceptional ability to bridge academia, industry, and sustainability.

Research Focus :

Richard Boudreault’s research focuses on advancing sustainability, quantum technologies, and nanotechnology to address global challenges. He is a pioneer in developing eco-friendly processes for rare earth mining, ultrapure materials, and atmospheric water generation. His innovations in quantum computing and sensors are transforming industries such as aerospace, medical devices, and energy systems. Boudreault is equally dedicated to sustainability, exploring Arctic ecology, climate change mitigation, and integrating Indigenous Traditional Knowledge with Western science. His work bridges cutting-edge research and real-world applications, fostering international-scale projects like green chemistry processes, quantum computing technologies, and Arctic research. As a prolific inventor and scholar, Boudreault has published 128 papers and holds 124 patents, emphasizing the commercialization of scientific discoveries. His commitment to sustainable development, innovation management, and interdisciplinary collaboration positions him as a thought leader addressing the intersection of science, technology, and environmental responsibility.

Awards:

Richard Boudreault has received prestigious honors for his exceptional contributions to science, engineering, and innovation. Among his accolades are the Governor General Vanier Scholar (2024), Prix Lionel-Boulet (2023), and Fellowships in the Royal Society of Canada (2019) and the Canadian Academy of Engineering (2010). He has been recognized globally with the IEEE-EMBS Innovation Career Award (2017), the American Physics Society’s George E. Pake Award (2018), and the Queen Elizabeth II Diamond Jubilee Medal (2015). His groundbreaking work earned the Gold Medal from the Royal Canadian Geographical Society (2018) and the Green Chemistry Award (2006). A knight of the Ordre des Palmes Académiques (2017), Boudreault’s contributions extend to international science diplomacy and applied research. His consumer product innovation won the International Stevie Award (2016), and his name is immortalized in Canadian currency projects. These honors highlight his pioneering achievements in sustainability, STEM, and governance.

Publication :

A Review on Small Modular Reactors for Energy Transition in Northern Canada: Some Geotechnical Considerations in the Context of Climate Change
Authors: Afsharipour, M.; Gheysari, A.F.; Bouaanani, N.; Boudreault, R.; Maghoul, P.
Journal: Geotechnical and Geological Engineering
Citations: 1
Year: 2024

A Review on Mathematical Modeling of Microbial and Plant Induced Permafrost Carbon Feedback
Authors: Fasaeiyan, N.; Jung, S.; Boudreault, R.; Arenson, L.U.; Maghoul, P.
Journal: Science of the Total Environment
Citations: 0
Year: 2024

LIBS-Raman Multimodal Architecture for Automated Lunar Prospecting
Authors: Pigeon, J.; Khomh, F.; Boudreault, R.; Ashraf, A.; Maghoul, P.
Conference: Earth and Space 2024: Engineering for Extreme Environments
Citations: 0
Year: 2024

Seismic Evaluation of Lava Tubes Subjected to Moonquakes
Authors: Seifamiri, H.; Maghoul, P.; Boudreault, R.; Bouaanani, N.; de Moraes, R.
Conference: Earth and Space 2022: Space Exploration, Utilization, Engineering, and Construction in Extreme Environments
Citations: 0
Year: 2023

Analytical Expression for the Evaluation of Multi-Stage Adiabatic-Compressed Air Energy Storage (A-CAES) Systems Cycle Efficiency
Authors: Courtois, N.; Najafiyazdi, M.; Lotfalian, R.; Boudreault, R.; Picard, M.
Journal: Applied Energy
Citations: 39
Year: 2021

50 Years of COSPAR Celebrated at its 37th Scientific Assembly
Authors: Boudreault, R.
Journal: Space Policy
Citations: 0
Year: 2008

Economically Viable Space Power Relay System
Authors: Bekey, Ivan; Boudreault, Richard
Journal: Acta Astronautica
Citations: 5
Year: 1999

Resources of Free Space vs. Flags and Footprints on Mars: An Examination of the Competing Paradigms for Human Space Exploration and Development
Authors: Maryniak, G.E.; Boudreault, R.
Journal: Space Policy
Citations: 1
Year: 1996

The Greening of Space?
Authors: Boudreault, R.
Journal: Space Policy
Citations: 0
Year: 1993

Foreword
Authors: Boudreault, R.
Journal: Acta Astronautica
Citations: 0
Year: 1992

Conclusion :

Richard Boudreault’s extensive academic achievements, groundbreaking research, and influential leadership make him an exemplary candidate for the “Best Researcher Awards.” His contributions to sustainability, STEM innovation, and global science diplomacy are unparalleled, reflecting his unwavering commitment to advancing knowledge and addressing pressing global issues. Recognizing his achievements through this award would honor his profound impact on science and society.

Nagesh Tambake | Manufacturing processes| Best Researcher Award

Posted on 24/01/202524/01/2025 by 21b4bddf87157652317827146367558f

Nagesh Tambake | Machine Learning and Artificial Intelligence| Best Researcher Award

Assistant Professor, Walchand Institute of Technology, Solapur, India.

Mr. Nagesh Rajshekhar Tambake is an Assistant Professor and dedicated researcher at Walchand Institute of Technology, Solapur, Maharashtra, India. Specializing in mechanical engineering, his work focuses on machine condition monitoring, vibration analysis, and advanced manufacturing processes. With a strong commitment to innovation, Mr. Tambake integrates machine learning techniques into industrial applications, contributing to advancements in predictive maintenance and fault diagnosis for CNC machinery. He has published numerous high-impact research papers in reputed journals and actively collaborates with esteemed institutions globally, including COEP Technological University, India, and VSB-Technical University of Ostrava, Czech Republic. His expertise spans smart manufacturing and industrial productivity enhancement.

Publication Profile

Education :

Mr. Tambake holds advanced degrees in mechanical engineering with a focus on manufacturing technologies and data-driven methodologies. He pursued his undergraduate degree at a reputed institution in India, where he gained foundational knowledge in core mechanical engineering principles. For his postgraduate studies, he specialized in advanced manufacturing processes and machining processes, earning accolades for his academic excellence. His education has been instrumental in shaping his expertise in integrating machine learning and mechanical engineering. Throughout his academic journey, Mr. Tambake demonstrated an inclination toward applied research, particularly in the development of intelligent systems for fault diagnosis and condition monitoring of industrial machinery.

Experience :

With over a decade of academic and research experience, Mr. Tambake has been an integral part of Walchand Institute of Technology as an Assistant Professor. He has mentored numerous undergraduate and postgraduate students while actively leading research projects in machine learning applications for manufacturing processes. His industry-oriented experience includes collaborations with international universities and organizations, where he worked on real-world problems such as vibration analysis and tool health monitoring in CNC machines. His ongoing research initiatives focus on integrating smart systems into mechanical processes, enhancing reliability and efficiency.

Research Focus :

Mr. Tambake’s research centers on machine condition monitoring, fault diagnosis, and predictive maintenance using machine learning techniques. He focuses on vibration signal analysis and the optimization of machining processes to improve industrial productivity. His work addresses challenges in CNC hobbing cutter fault diagnosis, leveraging three-axis vibration data to develop efficient monitoring systems. His interdisciplinary approach integrates mechanical engineering, data science, and advanced analytics to create innovative solutions for smart manufacturing and industrial automation.

Awards:

Elisabetta Ferrara has been recognized for her research excellence, earning accolades such as the prestigious “Cortina International Scientific Award” and the “TAOBUK Da Vinci Award” for her contributions to periodontal and microbiota research. Her achievements include awards at national and international congresses for innovations in dental and healthcare sciences.

Publication :

Data Driven Cutting Tool Fault Diagnosis System Using Machine Learning Approach: A Review
Authors: BBDADP Nagesh R Tambake
Journal: Journal of Physics: Conference Series 1969 (012049)
Citations: 24
Year: 2021

Development of a Low-Cost Data Acquisition System and Training of J48 Algorithm for Classifying Faults in Cutting Tool
Authors: N Tambake, B Deshmukh, A Patange
Journal: Materials Today: Proceedings 72, 1061-1067
Citations: 6
Year: 2023

Machine Learning for Monitoring Hobbing Tool Health in CNC Hobbing Machine
Authors: N Tambake, B Deshmukh, S Pardeshi, HA Mahmoud, R Cep, S Salunkhe, …
Journal: Frontiers in Materials 11, 1377941
Citations: 4
Year: 2024

Fault Diagnosis of a CNC Hobbing Cutter through Machine Learning Using Three-Axis Vibration Data
Authors: N Tambake, B Deshmukh, S Pardeshi, S Salunkhe, R Cep, EA Nasr
Journal: Heliyon
Citations: Not available (likely newly published)
Year: 2025

Condition Monitoring of a CNC Hobbing Cutter Using Machine Learning Approach
Authors: N Tambake, B Deshmukh, S Pardeshi, S Salunkhe, R Čep, E Abouel Nasr
Journal: Advances in Mechanical Engineering 16 (9), 16878132241275750
Citations: Not available
Year: 2024

Fatigue Failure of Flange in Screw Conveyor: A Review
Authors: NR Tambake
Journal: International Journal of Innovations in Engineering Research and Technology
Citations: Not available
Year: 2021

Design Analysis and Optimization of Rolling Mill Housing Using CAE
Authors: NR Tambake, KH Jatkar
Journal: Not explicitly provided
Citations: Not available
Year: Unknown

Conclusion :

Given his profound expertise, research impact, and commitment to addressing critical challenges in the manufacturing and engineering sectors, Mr. Tambake is a highly deserving nominee for the Best Researcher Award. His contributions are not only advancing academic knowledge but also significantly improving industrial practices, positioning him as a leader in his field.

Elisabetta Ferrara | Dentistry | Best Researcher Award

Posted on 20/01/2025 by 21b4bddf87157652317827146367558f

Dr. Elisabetta Ferrara | Dentistry | Best Researcher Award

Phd Student, Telematic University Leonardo Da Vinci, UNIDAV, Italy.

Dr. Elisabetta Ferrara is a PhD student at the Telematic University Leonardo Da Vinci (UNIDAV), Italy, specializing in dentistry. She is recognized for her outstanding contributions to dental research, particularly in innovative clinical practices and dental health technologies. Dr. Ferrara has shown exceptional promise in the field, making significant strides in her research on advanced dental materials and treatments. Her work has earned her recognition as a top researcher, and she is a recipient of the Best Researcher Award for her dedication to improving dental care and patient outcomes through scientific inquiry.

Publication Profile

Education :

Elisabetta Ferrara holds a Doctoral degree in “Sustainable Blue Economy and One Health” from Università degli Studi Leonardo Da Vinci (UNIDAV). Additionally, she earned a Master’s Degree in “Direction and Management of Healthcare Companies” with a high distinction (109/110). She also holds a Laurea Magistrale in “Sciences of Health Professions and Technical Assistance” from Università degli Studi dell’Aquila, focusing on healthcare management, organizational strategies, and quality improvement in complex medical environments.

Experience :

With a distinguished career, Elisabetta Ferrara has been a Scientific Consultant, Medical Writer, and Key Opinion Leader at prominent organizations such as Dompé Farmaceutici S.p.A. She has also served as a Director of Professional Teaching Activities at Università degli Studi “G. d’Annunzio,” overseeing clinical and educational programs. Her professional journey includes contributions as a Clinical Tutor and University Lecturer, alongside roles in healthcare institutions, including U.O.C. di Odontostomatologia, Ospedale S.S. Annunziata.

Research Focus :

Her research delves into advanced topics such as the applications of artificial intelligence in periodontal disease, systemic connections between oral and overall health, and the integration of healthcare technologies. She has also contributed significantly to studies on microbiota, oxidative stress, and sustainable healthcare practices.

Awards:

Skills:

Elisabetta Ferrara excels in scientific communication, research methodologies, and healthcare management. She is proficient in leveraging AI technologies for medical applications and has expertise in educational program development, interdisciplinary collaboration, and advanced dental practices, particularly for patients with special needs.

Publication :

Title: Emerging Evidence on Balneotherapy and Thermal Interventions in Post-COVID-19 Syndrome: A Systematic Review
- Authors: Ferrara, E.; Scaramuzzino, M.; Murmura, G.; D’Addazio, G.; Sinjari, B.
- Year: 2025
- Citation: Healthcare, 13, 96.
- DOI: 10.3390/healthcare13020096
Title: Applications of Deep Learning in Periodontal Disease Diagnosis and Management: A Systematic Review and Critical Appraisal
- Authors: Ferrara, E.; Rapone, B.; D’Albenzio, A.
- Year: 2024
- Journal: Journal of Medical Artificial Intelligence
Title: Pattern Recognition Receptors in Periodontal Disease: Molecular Mechanisms, Signaling Pathways, and Therapeutic Implications
- Authors: Ferrara, E.; Mastrocola, F.
- Year: 2024
- Citation: Journal of Molecular Pathology, 5(4):497-511
- DOI: 10.3390/jmp5040033
Title: Salivary Oxidative-Antioxidant Profile Following Adjunctive Gaseous Ozone Administration in Non-Surgical Periodontal Treatment: A Randomized Controlled Trial
- Authors: Rapone, B.; Scarano, A.; Qorri, E.; Ferrara, E.; et al.
- Year: 2024
- Citation: J Clin Med, 13(17):5272
- DOI: 10.3390/jcm13175272
Title: Soft-Tissue Management Dental Implants with Digitally Customized Healing Abutments: A Pilot Study
- Authors: De Francesco, M.; Ferrara, E.; Inchingolo, F.; et al.
- Year: 2024
- Citation: Prosthesis, 6(3):596-618
- DOI: 10.3390/prosthesis6030042
Title: Mechanism Behind the Upregulation of Proteins Associated with the NLRP3 Inflammasome in Periodontitis and Their Role in the Immune Response in Diabetes
- Authors: Ferrara, E.; Converti, I.; Scarola, R.; Tartaglia, F.C.; et al.
- Year: 2023
- Citation: Applied Sciences, 13:8278
- DOI: 10.3390/app13148278
Title: The Impact of Periodontal Inflammation on Endothelial Function Assessed by Circulating Levels of Asymmetric Dimethylarginine
- Authors: Rapone, B.; Ferrara, E.; et al.
- Year: 2022
- Citation: J Clin Med, 11(14):4173
- DOI: 10.3390/jcm11144173
Title: Intensive Periodontal Treatment Does Not Affect the Lipid Profile and Endothelial Function of Patients with Type 2 Diabetes: A Randomized Clinical Trial
- Authors: Rapone, B.; Ferrara, E.; et al.
- Year: 2022
- Citation: Biomedicines, 10:2524
- DOI: 10.3390/biomedicines10102524
Title: Exploring Oral Microbiome in Healthy Infants and Children: A Systematic Review
- Authors: D’Agostino, S.; Ferrara, E.; Valentini, G.; et al.
- Year: 2022
- Citation: International Journal of Environmental Research and Public Health, 19:11403
- DOI: 10.3390/ijerph19114103
Title: Gingival Crevicular Blood as a Potential Screening Tool: A Cross-Sectional Comparative Study
- Authors: Rapone, B.; Ferrara, E.; et al.
- Year: 2020
- Citation: International Journal of Environmental Research and Public Health, 17(20):7356
- DOI: 10.3390/ijerph17207356

Conclusion :

Elisabetta Ferrara embodies the qualities of an exemplary researcher, with a proven record of impactful studies, innovative methodologies, and dedication to advancing healthcare and education. Recognizing her achievements through the Best Researcher Award would not only honor her excellence but also inspire others in the academic and professional communities.

Shuaikun Chen| Features of Asphalt Airport Pavement |Best Researcher Award

Posted on 20/01/2025 by 21b4bddf87157652317827146367558f

Mr. Shuaikun Chen| Features of Asphalt Airport Pavement |Best Researcher Award

student, Harbin Institute of Technology,China.

Mr. Shuaikun Chen is a dedicated student at the Harbin Institute of Technology, China, specializing in civil engineering. His research focuses on the mechanical behavior and failure processes of asphalt airport pavements, with significant contributions to projects such as the Asphalt Airport Pavement Project at the FAA William J. Hughes Technical Center in the USA. Recognized for his innovative work, he has published findings in SCI-indexed journals and received the Best Researcher Award for his study on the features of asphalt airport pavement.

Publication Profile