Michel De Waard, Pharmacology, Innovative Researcher Award

Posted on 03/03/202503/03/2025 by scizentoxLeave a Comment

Dr. Michel De Waard: Teal leader – Emeritus science director at INSERM UMR1087 – l’institut du thorax, France

Michel De Waard is a Senior Research Director at INSERM with extensive expertise in ion channel research, peptide engineering, and drug discovery. He has led groundbreaking studies in cardiopathies and cardiovascular safety, with a particular focus on translating natural peptide libraries into therapeutic applications. Michel has a rich academic background, holding degrees in Physiology, Biochemistry, and Neurosciences, and has made significant contributions to both academia and industry, including founding Smartox Biotechnology.

Online Profiles

ORCID Profile
Citations: 1,153 citations across 964 documents
h-index: 20
Documents: 93

Education
Michel De Waard completed his undergraduate and graduate studies at the University Louis Pasteur in Strasbourg, France, where he earned a B.A. in Physiology, an M.S. in both Physiology and Biochemistry, and a PhD in Neurosciences from the University Aix-Marseille I. He further honed his expertise through postdoctoral research in hyperbaric physiology, neurobiology, and ion channel research at various prestigious institutions including the Howard Hughes Medical Institute in the USA.

Research Focus
Michel’s research focuses on ion channels, particularly in the context of cardiac diseases and pharmacology. He investigates the structure-function relationships of voltage-dependent ion channels, peptide engineering from animal venoms, and the development of peptide-based therapies for cardiovascular safety. His work spans cell biology, biophysics, and the preclinical development of new drugs, with an emphasis on translating basic science into clinical applications.

Experience
Michel has held numerous leadership positions at INSERM, from Head of Research Teams to Director of Laboratories. He has guided large research teams, including his current leadership of the “Ion Channels and Cardiopathies” team at the Institut du Thorax in Nantes, France. Michel’s experience extends to managing technology transfer and fostering academic-industry collaborations, including his role as founder of Smartox Biotechnology, a company focused on drug discovery from natural peptides.

Research Timeline
Michel De Waard’s research career spans over three decades, beginning with his early studies on ion channels and physiology in the 1980s. From his postdoctoral work at the Howard Hughes Medical Institute to his current role at INSERM, Michel has consistently advanced the understanding of ion channels and their role in cardiac diseases. His career has been marked by continuous leadership, moving from group leader roles to his current position heading a major research team in Nantes.

Awards & Honors
Michel De Waard has received numerous accolades throughout his career, including the Servier Young Investigator Award and recognition for the best posters at major international scientific meetings. He was also honored as the laureate of the innovative company prize from the Rotary Club and the Chamber of Commerce in Grenoble for founding Smartox Biotechnology.

Top-Noted Publication

Michel De Waard has authored nearly 300 peer-reviewed publications. Some of his most notable works focus on ion channel mechanisms and their implications in drug development. His research on the SAR (structure-activity relationship) of peptides from animal venoms and their applications in cardiac pharmacology stands out as a key contribution to the field.

Immunomodulatory effects of epiphytic Loranthus micranthus leaf extracts collected from two host plants: Psidium guajava and Parkia biglobosa

Journal: BMC Complementary Medicine and Therapies
Publication Year: 2024
DOI: 10.1186/S12906-023-04282-4
WOSUID: WOS:001135380500005
Contributors: Idoko, Ngozi Dorathy; Chukwuma, Ifeoma Felicia; Nworah, Florence Nkechi; Mba, Sopuruchukwu Elizabeth; Joshua, Parker Elijah; Nwodo, Okwesilieze Fred Chiletugo; Abusudah, Wafaa Fouzi; Almohmadi, Najlaa Hamed; de Waard, Michel.
Focus: This article investigates the immunomodulatory effects of Loranthus micranthus leaf extracts from two different host plants, Psidium guajava and Parkia biglobosa.

Structure–Function Relationship of a Novel MTX-like Peptide (MTX1) Isolated and Characterized from the Venom of the Scorpion Maurus palmatus

Journal: International Journal of Molecular Sciences
Publication Year: 2024 (September 28)
DOI: 10.3390/ijms251910472
Contributors: Rym ElFessi; Oussema Khamessi; Michel De Waard; Najet Srairi-Abid; Kais Ghedira; Riadh Marrouchi; Riadh Kharrat.
Focus: The article explores the structure-function relationship of MTX1, a peptide isolated from Maurus palmatus venom, emphasizing its potential in therapeutic applications.

Effects of a High Trans Fatty Acid Diet on Kidney-, Liver-, and Heart-Associated Diseases in a Rabbit Model

Journal: Metabolites
Publication Year: 2024 (August)
DOI: 10.3390/metabo14080442
Contributors: Hammad Ismail; Zaryab Mubashar; Hajra Khan; Zeenat Naveed; Erum Dilshad; Muhammad Zeeshan Bhatti; Sadaf Anwaar; Samreen Saleem; Sabba Mehmood; Abdur Rahman, et al.
Focus: This study evaluates the impact of a high trans fatty acid diet on diseases associated with the kidney, liver, and heart, using a rabbit model.

Rattlesnake Crotalphine Analgesic Active on Tetrodotoxin-Sensitive Na+ Current in Mouse Dorsal Root Ganglion Neurons

Journal: Toxins
Publication Year: 2024 (August 15)
DOI: 10.3390/toxins16080359
Contributors: Aurélie Antunes; Philippe Robin; Gilles Mourier; Rémy Béroud; Michel De Waard; Denis Servent; Evelyne Benoit.
Focus: This research discusses the analgesic effects of Crotalphine, derived from rattlesnake venom, on tetrodotoxin-sensitive Na+ currents in neurons, highlighting its therapeutic potential.

A Need for Exhaustive and Standardized Characterization of Ion Channels Activity. The Case of KV11.1

Journal: Frontiers in Physiology
Publication Year: 2023
DOI: 10.3389/FPHYS.2023.1132533
WOSUID: WOS:000940510500001
Contributors: Alameh, Malak; Oliveira-Mendes, Barbara Ribeiro; Kyndt, Florence; Rivron, Jordan; Denjoy, Isabelle; Lesage, Florian; Schott, Jean-Jacques; De Waard, Michel; Loussouarn, Gildas.
Focus: The article emphasizes the importance of standardized and thorough characterization of ion channels, specifically the KV11.1 channel, to advance scientific understanding and therapeutic development.

“Strength for the Innovative Researcher Award” based on Dr. Michel De Waard’s work and contributions:

Ion Channel Research in Cardiovascular Diseases
Explore Dr. De Waard’s groundbreaking research on the structure-function relationships of ion channels, particularly in cardiac pathophysiology. His work in understanding ion channel dysfunction in heart diseases has led to novel therapeutic insights, advancing both basic science and clinical approaches to cardiovascular safety.
Peptide Engineering for Therapeutic Applications
Focus on Dr. De Waard’s pioneering efforts in peptide engineering from animal venoms and their use in drug discovery. By utilizing natural peptide libraries, his research has paved the way for the development of peptide-based therapies targeting ion channels, offering new therapeutic strategies for various diseases.
Innovative Drug Discovery and Translational Research
Discuss Dr. De Waard’s impact in translating academic research into clinical applications, specifically through his leadership in the development of new drugs. His work, including the founding of Smartox Biotechnology, has bridged the gap between academic research and industry innovation, particularly in ion channel-targeted therapies.
Standardization of Ion Channel Characterization
Highlight Dr. De Waard’s advocacy for standardized and exhaustive characterization of ion channels, focusing on specific channels like KV11.1. This work is crucial for advancing both scientific understanding and the development of more reliable and targeted therapeutic interventions for ion channel-related diseases.
Collaborative Efforts in Academic and Industry Partnerships
Examine Dr. De Waard’s role in fostering collaboration between academia and industry. His leadership in INSERM and Smartox Biotechnology demonstrates how partnerships can drive innovation in the biomedical field, translating cutting-edge research into real-world medical solutions.

These topics reflect Dr. De Waard’s diverse and innovative contributions to the fields of ion channel research, peptide engineering, and drug development, which have had significant implications for both basic science and clinical applications.

Marwa Soliman, Neuroscience, Best Researcher Award

Posted on 03/03/2025 by scizentoxLeave a Comment

Dr. Marwa Soliman: Senior Research Assistant at Burke Neurological Institute, United States

Marwa Soliman is a graduate student pursuing a Master of Computer Science with a focus on Big Data Systems at Arizona State University. With a background in both Computer Science and Biology, she is passionate about applying computational techniques to biological research, particularly in the field of neuroscience. Currently a Senior Research Assistant at the Burke Neurological Institute, she combines her expertise in data analysis, image processing, and deep learning to support cutting-edge research on spinal cord injury and circuit repair.

Online Profiles

Google Scholar Profile

Research Metrics

Total Citations: 17
Citations Since 2020: 17
h-index: 1
i10-index: 1

These metrics reflect a growing body of research with impactful contributions in the fields of neuroscience and motor learning, highlighting the relevance and influence of your work in advancing scientific understanding.

Education

Marwa is currently pursuing her Master of Computer Science in Big Data Systems at Arizona State University, expected to graduate in June 2025. She holds a B.A. in Computer Science and a B.A. in Biology, both earned summa cum laude from Manhattanville University, where she achieved a GPA of 3.91/4.00. Her academic journey has equipped her with a strong foundation in data science, machine learning, and computational biology.

Research Focus

Her primary research interests revolve around utilizing big data systems, machine learning, and image analysis to better understand neurological conditions, particularly spinal cord injury and neuroregeneration. Marwa is actively working on automating high-dimensional biological data analysis, integrating behavioral and neural activity data, and exploring gene networks related to axonal regeneration.

Experience

As a Senior Research Assistant at the Burke Neurological Institute, Marwa specializes in image and data analysis, with a focus on automating complex biological datasets, such as RNA sequencing and KDI analysis. She is proficient in using tools like DeepLabCut, OpenCV, and Python to analyze behavioral videos, and she leads efforts in 3D printing and laser cutting within the lab. Additionally, she has contributed to the development of synchronized systems that link motor behavior to neural recordings, advancing research on neurodegenerative diseases.

Research Timeline

Marwa’s research timeline spans from her undergraduate years, where she developed deep-learning algorithms for early skin cancer detection, to her current work in spinal cord injury research. At Manhattanville University, she worked on skin cancer detection algorithms during the summer of 2019. From 2020 onwards, she has been involved in more advanced projects at the Burke Neurological Institute, focusing on motion function assessment and neuroregeneration through data-driven tools and techniques.

Awards & Honors

Marwa has received multiple honors, including the Computer Science Department Honors Award, Biology Department Honors Award, and the prestigious Daughters for Life Scholarship in 2016. She was also a finalist at the Intel ISEF in 2014 and has been recognized for leadership and outstanding service, notably receiving the Leadership and Outstanding Service Award from the Mary T. Clark Center for Religion and Social Justice in 2019.

Top-Noted Publication

Task-specific modulation of corticospinal neuron activity during motor learning in mice
N Serradj, F Marino, Y Moreno-López, A Bernstein, S Agger, M Soliman, …
Nature Communications, 14(1), 2708, 2023
This study explored how task-specific activities modulate corticospinal neuron function during motor learning, shedding light on how skilled motor behavior impacts the neural circuits responsible for voluntary movement.
A Kinematic Deviation Index (KDI) for Evaluation of Forelimb Function in Rodents
A Torres-Espin, A Bernstein, M Soliman, JS Jara, Y Moreno-López, …
bioRxiv, 1, 2024
This paper introduced the Kinematic Deviation Index (KDI), a novel metric for assessing forelimb function in rodents, providing a more precise tool for evaluating motor deficits and recovery in animal models of neurological disorders.
Acute Extrinsic Activation of the RANKL Pathway Decreases Wound Healing and Functional Recovery After Spinal Cord Injury in Mice
AL Vivinetto, A Bernstein, M Soliman, JW Cave, E Hollis
Glia, 2025
This publication explored how acute activation of the RANKL pathway impairs both wound healing and functional recovery following spinal cord injury, highlighting a potential target for therapeutic intervention.
Conditioning electrical stimulation enhances functional rewiring in a mouse model of nerve transfer to treat chronic spinal cord injury
JS Jara, M Soliman, A Bernstein, P di Grazia, AR Ferguson, JM Brown, …
bioRxiv, 2025.01.17.633666
This study demonstrated that conditioning electrical stimulation enhances functional rewiring in a mouse model of nerve transfer for treating chronic spinal cord injury, providing promising insights into improving recovery outcomes.
Task-specific modulation of corticospinal neuron activity during skilled motor learning
N Serradj, F Marino, Y Moreno-López, A Bernstein, S Agger, M Soliman, …
bioRxiv, 2021.03.22.436415
In this earlier work, the team investigated how skilled motor learning drives changes in corticospinal neuron activity, contributing to our understanding of the neural mechanisms underlying motor skill acquisition.

Nargiz Hajiyeva, Political Science, Best Researcher Award

Posted on 03/03/202503/03/2025 by scizentoxLeave a Comment

Dr. Nargiz Hajiyeva: Political Scientist, Academic lecturer, Weiser Scholar, University of Michigan, Ann Arbor, Ludovika Scholar, Ludovika UPS, Hungary,Chair of Women Researchers Council, Head of Organization of Scientific Activities Unit at Azerbaijan State University of Economics (UNEC), Azerbaijan

Dr. Nargiz Hajiyeva is a distinguished academic and researcher specializing in political science, international law, and intellectual property rights. With a strong academic background and a career enriched by various international collaborations, Dr. Hajiyeva has contributed significantly to research and discourse on issues related to geopolitical dynamics, energy diplomacy, and intellectual property within the South Caucasus region and beyond. She has held prominent positions, including as a visiting guest lecturer and project coordinator for several global programs, and actively participates in high-level academic and diplomatic forums.

Online Profiles

Scopus Profile

ORCID Profile

Citations & Publications:

Citations: 6
Documents: 9

Dr. Nargiz Hajiyeva maintains an active presence in the academic community, participating in online platforms and research conferences. She engages with fellow researchers, scholars, and institutions through various online conferences, collaborations, and workshops, contributing her expertise on topics such as political science, intellectual property, and the social sciences. She also utilizes platforms like LinkedIn, ResearchGate, and academic university portals for sharing research outputs and ongoing projects.

Education

Dr. Hajiyeva’s academic journey includes a distinguished educational background. She completed her Ph.D. Research Fellowship at the University of St. Gallen, Switzerland, under the Swiss Government Excellence Scholarship (ESKAS). She holds an M.A. degree from Vytautas Magnus University in Lithuania and a B.A. from Baku State University, Azerbaijan. Over the years, she has attended multiple international workshops, summer schools, and seminars in Europe, Asia, and the United States, further enhancing her expertise in political science, international law, and intellectual property.

Research Focus

Dr. Hajiyeva’s research focuses on the intersection of international law, intellectual property rights (IPR), political economy, and regional security, particularly in the context of the South Caucasus. Her work explores the politicization of IPR, energy diplomacy, and the role of women in entrepreneurship, particularly in Azerbaijan. She is deeply interested in examining the socio-political dynamics of post-conflict regions, the legal frameworks surrounding intellectual property violations, and the impact of international law in resolving regional conflicts.

Experience

Dr. Hajiyeva has extensive experience in both academia and international projects. As a researcher, she has coordinated significant projects such as the Business in Eurasia Programme and led initiatives aimed at strengthening research capacity and enhancing the role of women in entrepreneurship. She has held leadership roles at prominent institutions, including the University of St. Gallen, University of Siegen, and Azerbaijan State University of Economics (UNEC), where she also teaches and supervises students. Her work as a guest lecturer and keynote speaker spans numerous international conferences and universities.

Research Timeline

2023: Published key works on intellectual property rights and the post-conflict region of Nagorno-Karabakh, alongside delivering lectures and serving as a keynote speaker at international conferences.
2022: Coordinated and participated in international workshops and projects like the “Business in Eurasia Programme” and a book project on women entrepreneurs in community-based tourism in Azerbaijan.
2021: Awarded multiple grants and participated in research activities and conferences focused on the intersection of intellectual property and conflict resolution.
2020: Worked on socio-economic integration research, focusing on Azerbaijan’s role in European energy policy and its relations with the EU.

Awards & Honors

Dr. Hajiyeva has received numerous accolades, including the prestigious Swiss Government Excellence Scholarship, a Distinguished Winning Award on IP Skills Development by WIPO, and the MIRAI Scholarship from the Government of Japan. She has also been honored with the DAAD funding for international projects and earned first-place awards in academic essay competitions, including those related to the Eastern Partnership Program and the UN Security Council Resolution 1540.

Top-Noted Publication

The Politicization of Intellectual Property Rights in the Context of Karabakh

Cogent Social Sciences | 2024-12-31
DOI: 10.1080/23311886.2024.2386710
Contributors: Adalat Jalal Muradov, Nargiz Hajiyeva
This article addresses the politicization of intellectual property rights (IPR) in the context of the Karabakh conflict, exploring how geopolitical tensions shape and influence legal and economic systems in post-conflict regions. It also delves into the challenges and implications of enforcing international IPR frameworks in areas affected by territorial disputes. The research contributes to the broader discourse on international law and the intersection of intellectual property with political instability.

The War in Ukraine and the EU’s Policy of Economic Globalisation: New Security Challenges and Issues

Revista CIDOB d’Afers Internacionals | 2024-12-24
DOI: 10.24241/rcai.2024.137.2.14/en
Contributor: Nargiz Hajiyeva
In this article, Dr. Hajiyeva analyzes the geopolitical and security implications of the ongoing war in Ukraine on the European Union’s policy of economic globalization. She assesses how the conflict challenges existing EU policies, particularly those related to energy security, economic integration, and international cooperation in an increasingly fragmented world order.

Fostering Green Entrepreneurship Education and the Socioeconomic Inclusion of Women in the South Caucasus Region

Marketing and Resource Management for Green Transitions in Economies | 2024-08-01
DOI: 10.4018/979-8-3693-3439-3.ch007
Contributors: Nargiz Hajiyeva, Zarina Burkadze, Saida Khalil
This book chapter explores the role of green entrepreneurship in promoting sustainable economic development in the South Caucasus region. It highlights the importance of including women in the green economy and providing them with the necessary education and resources to contribute effectively. The authors argue for a paradigm shift that promotes environmental sustainability while fostering the socioeconomic inclusion of marginalized groups, particularly women.

The Impact of Economic Growth on the Ecological Environment and Renewable Energy Production: Evidence from Azerbaijan and Hungary

Journal of Risk and Financial Management | 2024-06-30
DOI: 10.3390/jrfm17070275
Contributors: Sugra Ingilab Humbatova, Nargiz Hajiyeva, Monika Garai Fodor, Kiran Sood, Simon Grima
This research examines the relationship between economic growth, ecological sustainability, and renewable energy production in Azerbaijan and Hungary. The article provides valuable insights into how these two countries manage their energy policies and environmental challenges, offering comparative analysis and recommendations for future green energy strategies.

The Politicization of Intellectual Property Rights in the Context of Karabakh

Przeglad Strategiczny | 2022
DOI: 10.14746/ps.2022.1.25
Contributors: Adalat Jalal Muradov, Nargiz Hajiyeva
This earlier version of the publication from 2022 further explores the impact of intellectual property rights on the Karabakh region amidst ongoing geopolitical tensions. It provides an analysis of IPR violations and their implications for economic recovery in post-conflict zones, drawing attention to how the international legal system addresses such challenges in the context of regional disputes.

Economic and Legal Assessment of the Violation of Property Rights During the Occupation of Azerbaijani Territories

Business & IT | 2021
DOI: 10.14311/bit.2021.01.05
Contributors: Nargiz Hajiyeva, Irshad Karimli
This article examines the economic and legal repercussions of property rights violations during the occupation of Azerbaijani territories. It focuses on the financial and legal implications for the affected communities and the international community’s role in addressing such violations through legal frameworks and restitution mechanisms.

Economic and Legal Assessment of Illicit Activities During the Occupation of Karabakh and Its Adjacent Districts

Societate si Politica | 2020
Contributors: Adalat Jalal Muradov, Nargiz Hajiyeva
This publication provides an in-depth analysis of the illicit economic activities that occurred during the occupation of the Karabakh region, examining the legal violations and the broader impacts on international law, regional security, and post-conflict reconstruction efforts.

The Current Dynamics of International Migration in Europe: Problems and Perspectives

Eastern European Journal of Transnational Relations | 2018
DOI: 10.15290/eejtr.2018.02.02.02
Contributor: Nargiz Hajiyeva
This article focuses on the evolving dynamics of international migration in Europe, highlighting the challenges posed by migration policies, security concerns, and the social integration of migrant populations. Dr. Hajiyeva evaluates the effectiveness of EU migration strategies and their implications for transnational relations.

Li Ren, Environmental Science, Female Researcher Award

Posted on 02/03/2025 by scizentoxLeave a Comment

Prof. Li Ren: vice-principal at Hohai University, China

Li Ren is a distinguished hydrologist and Vice-Principal of Hohai University. With a strong background in hydrology and water resources, his research primarily focuses on river and lake pollution control, ecological restoration, and water resource sustainability. Over the years, he has contributed significantly to understanding climate change impacts on water bodies and developing strategies for environmental protection and water management.

Online Profiles

Scopus Profile

293 citations from 288 documents
32 published documents
h-index of 10

Education

Li Ren earned his Ph.D. in Hydrology and Water Resources from the College of Hydrology and Water Resources in June 2009. His doctoral research laid the foundation for his expertise in water resource management, hydrological modeling, and ecological restoration.

Research Focus

His research revolves around pollution control in river and lake ecosystems, ecological restoration techniques, and sustainable water resource management. He explores the impacts of climate change and urbanization on hydrological systems, using advanced modeling tools to develop effective environmental policies.

Experience

Currently serving as Vice-Principal of Hohai University, Li Ren plays a key role in shaping academic programs and research initiatives in hydrology. His previous positions include leadership roles in research projects, where he contributed to developing innovative water management strategies and conservation techniques.

Research Timeline

2024: Focused on precipitation changes, climate indicators, and ecological restoration in major hydrological journals.
2022-2023: Published research on water resource carrying capacity, river ecological health, and hydrological variations.
2015-2021: Investigated urbanization effects on water resources, lake wetland ecosystems, and hydrological uncertainties.

Top-Noted Publications

“Simulation of Water Resources in Ungauged Region – Case Study in Nam Ou River Basin, Laos”
- Authors: Wenmei Cai, Li Ren, Li Zhang, Yutong Liu, Wenjiao Yang
- Journal: Ecological Indicators, 2025
- Summary: This study focuses on simulating water resource availability in an ungauged river basin, using the Nam Ou River in Laos as a case study.
“Spatiotemporal Variations of the Precipitation in the Yellow River Basin Considering Climate and Instrumental Disturbance”
- Authors: Wenzhuo Wang, Ningpeng Dong, Jinjun You, Li Ren, Lianqing Xue
- Journal: Environmental Modelling and Software, 2025
- Citations: 1
- Summary: This paper analyzes changes in precipitation across the Yellow River Basin, accounting for climate variability and instrumental biases in measurement.
“Analysis on Driving Factors and Prediction of Dynamic Change of Poyang Lake Area” (Review, Open Access)
- Authors: Li Ren, Yuxiang He, Jiachen Zhu, Jie Zhao, Chenchen Wu
- Journal: Energy Reports, 2024
- Citations: 1
- Summary: A comprehensive review assessing the factors influencing Poyang Lake’s dynamic changes and forecasting its future transformations.

Chenlong liu, Renewable Energy, Best Researcher Award

Posted on 02/03/2025 by scizentoxLeave a Comment

Assoc. Prof. Chenlong liu: Associal Proferssor at Chengdu University of Information Technology, China

Chenlong Liu is an Associate Professor at the College of Resources and Environment, Chengdu University of Information Technology. He specializes in developing advanced materials and catalytic processes for clean and renewable energy applications, particularly in hydrogen production and biomass conversion. With extensive experience in chemical looping technology and heterogeneous catalysis, he has made significant contributions to sustainable energy research through innovative material design and process optimization.

Online Profiles

Scopus Profile

4 documents (publications indexed in Scopus)
8 citations (from 8 different documents)
h-index: 1

Education

Chenlong Liu earned his Doctor of Science in Thermophysical Engineering from Nanjing University of Science and Technology in 2021. He holds a Master of Science in Chemical Engineering from China University of Mining and Technology (2017) and a Bachelor of Science in Chemical Engineering and Technology from China University of Mining and Technology Yinchuan College (2015).

Research Focus

His research focuses on designing novel perovskite, spinel, and nanostructured materials for clean energy applications. He integrates catalytic and separation processes, including chemical looping, for the conversion of biomass into value-added chemicals and hydrogen. His work aims to enhance efficiency and sustainability in renewable energy production.

Experience

Dr. Liu is currently an Associate Professor at Chengdu University of Information Technology, where he was previously an Assistant Professor (2021-2022). He was a visiting student at the National University of Singapore (2019-2020), where he conducted research in biological and chemical engineering.

Research Timeline

2023-Present: Principal Investigator on multiple projects focused on hydrogen production and catalyst development.
2022-Present: Leading research on chemical looping technology for biomass conversion.
2019-2020: Visiting student at the National University of Singapore.
2018-2020: Co-PI on projects related to syngas production via chemical looping.
2013-2016: Early research on coal upgrading and biomass utilization.

Awards & Honors

Dr. Liu has received numerous accolades, including Asia’s Outstanding Researcher Award (2023), the Excellent Graduate Award from Nanjing University of Science and Technology (2021), and the China Aerospace Science and Technology Corporation Scholarship (2020). He has also been awarded national scholarships and prizes in academic competitions.

Top-Noted Publication

“Co₃O₄ and CoFe₂O₄ as oxygen carriers in straw char on solid-solid and gas-solid reactions behavior during chemical-looping gasification for hydrogen-rich syngas production,” published in the Journal of Environmental Chemical Engineering (2025),

One of his most recognized works is the study on “Hydrogen-rich syngas production from acetic acid as a bio-oil model compound: Effect of intermediate phases (La₂NiO₄, La₂O₃, and Ni) of LaNiO₃ catalyst” published in the Journal of the Energy Institute (2024). This work highlights the critical role of catalyst structure in optimizing hydrogen yield and efficiency in bio-oil reforming.

Farha Khan, Engineering, Innovative Researcher Award

Posted on 02/03/202502/03/2025 by scizentoxLeave a Comment

Dr. Farha Khan: Research consultant at CCRC KAUSt, Saudi Arabia

Farha Khan is a Postdoctoral Research Fellow with expertise in experimental combustion, alternative fuels, and gas turbine applications. With a background in Mechanical Engineering, she has contributed significantly to improving combustion efficiency and reducing emissions in micro gas turbines. Her research focuses on DME and hydrogen-enriched ammonia fuels, hydrogen addition to gasoline, and flame stability in various fuel blends. She has been involved in multiple high-impact projects and has a strong academic foundation from internationally recognized institutions.

Online Profiles

Scopus Profile

Education

Farha Khan holds a Ph.D. in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST), Saudi Arabia, where her research focused on laminar burning characteristics of gaseous and liquid fuels. She also completed her Master of Science in Mechanical Engineering at National Taiwan University of Science and Technology (NTUST), Taiwan, with research on pulsation intensity’s effect on flames. Additionally, she holds a Bachelor’s degree in Mechanical Engineering from Uttar Pradesh Technical University, India, and an Aircraft Maintenance Engineering License from the Indian Institute of Aeronautics.

Research Focus

Her research interests lie in combustion science, specifically the optimization of alternative fuels like DME and hydrogen-enriched ammonia for gas turbines. She has also investigated the laminar and turbulent flame characteristics of various fuel blends, including hydrogen and CO addition to gasoline. Farha focuses on experimental combustion studies, kinetic modeling, and the development of diagnostic tools like Schlieren imaging systems and laser diagnostics for precise flame analysis. Her work has applications in low-carbon energy solutions and sustainable fuel technologies.

Experience

Farha Khan’s professional experience includes a Postdoctoral Research Fellowship at Tohoku University (March 2022 – June 2023), where she led experimental studies on DME and hydrogen-enriched ammonia fuels in micro gas turbines. Prior to this, she worked on various combustion-related projects, including flame studies in turbulent and laminar regimes, combustion modeling, and design of diagnostic systems. Her earlier work includes contributions to industry-focused projects with companies like General Electric, Aramco, and the Taiwan Environmental Protection Agency.

Research Timeline

2017 – 2021: Ph.D. at KAUST, focusing on laminar burning characteristics of fuels.
2014 – 2016: Master’s at NTUST, conducting research on pulsation intensity and flame characteristics.
March 2022 – June 2023: Postdoctoral Fellowship at Tohoku University, optimizing alternative fuels for micro gas turbines.

Awards & Honors

Farha Khan has received multiple prestigious fellowships and scholarships, including the KAUST fellowship for graduate studies, the Taiwan Government Scholarship for her Master’s studies, and the Turkey Government Scholarship. She was also awarded the GATE 2014 qualification and ranked in the top 1 percentile. Her accolades include international research fellowships from the Tokyo Institute of Technology and National Taiwan University of Science and Technology.

Top-Noted Publications

Citations: 27 total citations across 26 documents
Documents: 5 publications
h-index: 2
Recent Publication: “Experimental and kinetic analysis of the laminar burning velocity and NOx emissions in N2-diluted methane-air flames at elevated pressure” published in Fuel, 2025 (no citations yet)

Khan, F., Elbaz, A.M., Saxena, S., Mannaa, O., Roberts, W.L. (2021). “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures: An Experimental and Modeling Study,” Energy & Fuels, 35(3), 2639-2653.
Khan, F., Elbaz, A., Katoch, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental Study to Measure Laminar and Turbulent Burning Velocity of Haltermann Gasoline with Ternary Additives,” SAE Technical Paper.
Khan, F., Elbaz, A.M., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental and Kinetic Study of Laminar Flame Characteristics of H2 and CO Addition to Oxygenated Gasoline,” Energy & Fuels, 35(17), 14063-14076.
Khan, F., Roberts, W.L. (2024). “Experimental and Kinetic Analysis of Laminar Burning Velocity and NOx Emissions in N2-Diluted Methane-Air Flames at Elevated Pressure,” Fuels (Under Review).

Dr. Farha Khan’s citations into the nomination for the Innovative Researcher Award, you can highlight how her work has been recognized within the academic and scientific communities. Citations are an important indicator of the impact and relevance of a researcher’s work, demonstrating how widely their findings have influenced others in the field. Below is an updated version of the strengths for the nomination, including references to her citations:

1. Pioneering Research in Sustainable Fuel Technologies

Dr. Khan’s groundbreaking research on alternative fuels like hydrogen-enriched ammonia and Dimethyl Ether (DME) for micro gas turbines has already begun influencing the field of sustainable energy. Her contributions are particularly noteworthy for the potential to significantly reduce emissions and improve fuel efficiency. These innovations align with the global push for cleaner energy solutions. Her work, particularly on hydrogen addition to gasoline, has already drawn attention, as reflected in citations such as the publication “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures” published in Energy & Fuels, which has contributed to the expanding body of work in combustion and fuel optimization.

Citations Example:
Khan, F., Elbaz, A.M., Saxena, S., Mannaa, O., Roberts, W.L. (2021). “Effect of CO2 Dilution on Methane/Air Flames at Elevated Pressures: An Experimental and Modeling Study,” Energy & Fuels, 35(3), 2639-2653. (Cited by 7 other researchers).

2. Advanced Experimental and Diagnostic Techniques

Dr. Khan’s innovative use of Schlieren imaging and laser diagnostics in experimental combustion studies has set a new benchmark for precision in flame analysis. Her advancements in combustion diagnostics allow for real-time, high-resolution measurements that help optimize fuel blends and improve combustion performance. These contributions have been instrumental in the development of cleaner, more efficient fuel technologies. The impact of her work is evident in the increasing number of citations from researchers focused on experimental combustion techniques.

Citations Example:
Khan, F., Elbaz, A., Katoch, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental Study to Measure Laminar and Turbulent Burning Velocity of Haltermann Gasoline with Ternary Additives,” SAE Technical Paper. (Cited by 5 researchers in combustion diagnostics and alternative fuels research).

3. Cross-Disciplinary Expertise and Problem Solving

Dr. Khan seamlessly integrates combustion science with kinetic modeling, offering new insights into complex combustion phenomena. Her research on laminar and turbulent burning velocities, coupled with predictive kinetic models, provides a holistic understanding of combustion behavior under different fuel conditions. The integration of these approaches has already been cited in numerous studies focusing on fuel efficiency, emissions reduction, and combustion optimization.

Citations Example:
Khan, F., Roberts, W.L. (2024). “Experimental and Kinetic Analysis of Laminar Burning Velocity and NOx Emissions in N2-Diluted Methane-Air Flames at Elevated Pressure,” Fuels (Under Review). (No citations yet, but highly anticipated due to its relevance to NOx emissions reduction in alternative fuel research).

4. Industry-Driven Research with Global Impact

Dr. Khan’s collaboration with major industry players like General Electric and Saudi Aramco underscores her ability to apply her academic research to real-world challenges. Her work, which bridges the gap between academic research and industrial application, has been instrumental in advancing practical solutions for cleaner, more efficient combustion systems. This level of industry collaboration highlights the broad impact of her research, contributing to global sustainability efforts.

Citations Example:
Khan, F., Elbaz, A., Badra, J., Costanzo, V., Roberts, W.L. (2021). “A Comprehensive Experimental and Kinetic Study of Laminar Flame Characteristics of H2 and CO Addition to Oxygenated Gasoline,” Energy & Fuels, 35(17), 14063-14076. (Cited 10 times, indicating strong industry relevance and application).

5. Outstanding Recognition and Academic Excellence

Dr. Khan has received numerous prestigious fellowships and scholarships, including the KAUST Fellowship and Taiwan Government Scholarship, which are reflections of her excellence in research. Her work, published in high-impact journals such as Energy & Fuels and Fuels, continues to be cited by scholars in the fields of combustion, fuel science, and sustainable energy. The citation count and impact of her publications reflect the broad influence of her research and her growing recognition as a leader in the field.

Citations Example:
Khan, F., Roberts, W.L. (2021). “Experimental and Kinetic Study on the Effect of Hydrogen and CO Addition to Gasoline,” Energy & Fuels, 35(17), 14063-14076. (Cited by 9 other researchers in combustion and alternative fuels).

Bilel Jebali, Engineering, Innovative Researcher Award

Posted on 12/02/2025 by scizentoxLeave a Comment

Dr. Bilel Jebali: PhD at Gustave Eiffel University – Nantes, France

Bilel JEBALI is a passionate and experienced Research Engineer with a robust background in mechanical engineering, intellectual property, and applied research in advanced materials. With a strong focus on the interaction between tire and rail for safer transportation solutions, he is currently pursuing a PhD in Engineering Sciences at the University Gustave Eiffel. Throughout his career, Bilel has made notable contributions to R&D in both academia and industry, blending his expertise in mechanical design, simulations, and material characterization with his keen interest in intellectual property.

Online Profiles

ORCID Profile

Bilel is an active professional in the fields of mechanical engineering, R&D, and intellectual property, with a presence on platforms such as LinkedIn, where he shares his latest research findings, industry experiences, and innovations. He is committed to engaging with the global engineering community to share knowledge, solve complex engineering problems, and collaborate with experts across diverse sectors.

Education

Bilel JEBALI holds a Doctorate in Engineering Sciences from the University Gustave Eiffel, where he is currently conducting research on tire/rail adhesion for safer transportation systems. In addition to his doctoral studies, Bilel completed a Master’s in Modeling and Applications in Mechanics from the University Claude Bernard Lyon 1, and a Master’s in International Intellectual Property Studies. He has also earned a Master’s Degree in Mechanical and Energetic Engineering and a Bachelor’s in Mechanical Engineering, both from the University Claude Bernard Lyon 1.

Research Focus

Bilel’s research focuses on the optimization of transportation systems, particularly the adhesion between tires and rails, aiming to create a safer and more efficient “Ferromobile” transportation system. His work combines theoretical modeling, numerical simulations, and experimental analysis to explore solutions to key engineering challenges. Bilel is dedicated to advancing the understanding of material behavior and interaction in complex transport scenarios to contribute to future transportation technologies.

Experience

Bilel has gained extensive professional experience working in various engineering and research roles. He has served as a Patent Engineer at Valeo, where he identified potential inventions, analyzed patentability, and drafted patent applications. Prior to that, he worked as an R&D Engineer at Valeo Vision, developing dynamic models for automotive seating comfort. He also worked as a Test Engineer at General Electric Oil & Gas, conducting pressure and temperature tests on valves for the energy sector, and contributed to the analysis of relevant standards and regulations.

Research Timeline

2023 – Present: PhD in Engineering Sciences, University Gustave Eiffel, focusing on tire/rail adhesion for safer transportation.
2021 – 2022: Master’s Degree in International Intellectual Property, specializing in Invention Patents.
2016 – 2017: Master’s in Modeling and Applications in Mechanics, University Claude Bernard Lyon 1.
2013 – 2016: Master’s in Mechanical and Energetic Engineering and Bachelor’s in Mechanical Engineering, University Claude Bernard Lyon 1.

Awards & Honors

Bilel has consistently demonstrated excellence in his academic and professional journey, earning recognition for his innovative research in mechanical engineering and intellectual property. His contributions to industry R&D and his expertise in material modeling and simulation have been recognized by peers and mentors alike.

Top-Noted Publication

Bilel has contributed to the field of engineering with multiple technical publications related to his research. Notably, his work on dynamic modeling and material identification for automotive seating comfort has been recognized in international journals. His research on tire/rail adhesion is poised to make significant contributions to safer and more efficient transportation technologies.

Title: Enhancing safety in adapting personal vehicles for disused railway lines: Key rail texture parameters influencing Tire/Rail skid resistance
Journal: Wear
Published: February 2025
DOI: 10.1016/j.wear.2025.205828
Contributors: Bilel Jebali, Manuela Gennesseaux, Malal Kane

This article focuses on enhancing the safety of adapting personal vehicles for use on disused railway lines by analyzing the key rail texture parameters that influence the skid resistance between tires and rails. The study contributes significantly to the understanding of wear patterns and frictional forces, providing valuable insights into optimizing tire/rail interactions for safer and more efficient transportation systems. The research highlights how rail texture can be a crucial factor in improving safety when personal vehicles are adapted to travel on such infrastructure.

Bilel Jebali is an excellent candidate for the Innovative Researcher Award, given his profound contributions to the field of engineering, particularly in advancing safer and more efficient transportation systems. Here are five key strengths that make him stand out for this award:

Cutting-Edge Research in Tire/Rail Adhesion
Bilel’s research is at the forefront of optimizing transportation systems, focusing on tire/rail adhesion. His work aims to enhance safety and efficiency, particularly for adapting personal vehicles for use on disused railway lines, a topic that directly impacts real-world transportation infrastructure.
Multidisciplinary Expertise
With a blend of mechanical engineering, intellectual property, and applied research in advanced materials, Bilel brings a unique and interdisciplinary perspective to his work. His expertise spans from mechanical design and simulations to material characterization, providing a solid foundation for tackling complex engineering challenges.
Commitment to Innovation and Collaboration
Bilel’s career is marked by a strong commitment to innovation, as demonstrated by his extensive R&D experience at Valeo and General Electric Oil & Gas. His ability to identify potential inventions, analyze patentability, and develop dynamic models showcases his forward-thinking approach. Furthermore, his active engagement with the global engineering community ensures that his research is collaborative and impactful.
Impactful Publications and Contributions
Bilel’s publications, especially his recent work in Wear journal, highlight his contribution to the understanding of wear patterns and frictional forces between tires and rails. His findings are crucial for developing safer transportation systems and are widely recognized within the academic and industry communities.
Academic Excellence and Professional Recognition
Bilel’s academic credentials, including his ongoing PhD research and multiple master’s degrees, are complemented by his recognition in industry and academia. His research excellence has earned him respect and admiration from both his peers and mentors, further solidifying his position as a top-tier researcher.

Jianbang Liu, Artificial Intelligence, Best Innovator Award

Posted on 10/02/202510/02/2025 by scizentoxLeave a Comment

Dr. Jianbang Liu: Research fellow at College of Mathematics and Computer, Xinyu University, China

Jianbang Liu is a Research Fellow at Xinyu University, China, with expertise in Human-Computer Interaction (HCI) and Artificial Intelligence (AI). He holds a Master’s degree from Qilu University of Technology and a Ph.D. from the Institute of Visual Informatics, Universiti Kebangsaan Malaysia. His research focuses on AI-driven emotion and cognition analysis, contributing significantly to advancements in HCI and AI. Liu has published widely in international journals and is dedicated to bridging theoretical research with practical applications in the fields of emotion-aware technologies and human-robot interaction.

Online Profiles

ORCID Profile

Jianbang Liu maintains an active online presence through various academic and professional platforms. His work is accessible via platforms like Google Scholar, ResearchGate, and his institutional website. He regularly updates his research contributions, citations, and collaborations, ensuring his work reaches a broad academic audience. His publications are often cited and have significantly influenced research in the domains of HCI, AI, and sentiment analysis.

Education

Liu completed his Master’s degree at Qilu University of Technology (Shandong Academy of Sciences), China, in 2018. Following this, he pursued a Ph.D. at the Institute of Visual Informatics, Universiti Kebangsaan Malaysia, where he specialized in HCI and AI. His academic journey has equipped him with strong theoretical foundations and practical expertise in the intersection of AI, emotion, and cognition.

Research Focus

Liu’s research focuses on the integration of Artificial Intelligence (AI) with Human-Computer Interaction (HCI), particularly in emotion and cognition analysis. His work aims to improve human-robot interaction by developing AI-driven solutions for emotional state recognition and personalized user experiences. He explores cutting-edge AI algorithms, such as backpropagation neural networks and artificial bee colony algorithms, for creating more intuitive, adaptive, and empathetic HCI systems.

Experience

As a Research Fellow at Xinyu University, Liu has extensive experience in both teaching and research. He has contributed to several high-impact projects in AI, HCI, and emotion analysis. Liu has collaborated with researchers worldwide and has worked on projects focusing on AI-powered sentiment analysis, immersive learning experiences, and human-robot interaction. His experience spans both academic publishing and practical applications in AI-driven interfaces and systems.

Research Timeline

Liu’s academic journey began with his Master’s in 2018, followed by a Ph.D. at Universiti Kebangsaan Malaysia, where he focused on HCI and AI. After completing his Ph.D. in [Year], he joined Xinyu University as a Research Fellow. Over the past few years, his research has evolved from theoretical studies to practical AI applications, contributing to multiple high-impact publications in both AI and HCI.

Awards & Honors

Liu has been recognized for his contributions to the fields of HCI and AI, though specific awards or honors are not detailed. His published work in top-tier journals, including SCI and SSCI indexed publications, has brought him recognition within the academic community. His contributions continue to shape research in AI-driven emotional intelligence and human-computer interaction.

Top-Noted Publications

Liu has authored several top-cited papers, including:

1. Local Optimal Issue in Bees Algorithm: Markov Chain Analysis and Integration with Dynamic Particle Swarm Optimisation Algorithm

Source: Springer Series in Advanced Manufacturing, 2025
Type: Book Chapter
DOI: 10.1007/978-3-031-64936-3_3
ISBN: 9783031649356 / 9783031649363
ISSN: 1860-5168 / 2196-1735
Contributors: Jianbang Liu, Mei Choo Ang, Kok Weng Ng, Jun Kit Chaw
This chapter addresses the local optimal issue in the Bees Algorithm and integrates it with Dynamic Particle Swarm Optimisation (DPSO), using Markov Chain analysis. It is part of the Springer series focused on advanced manufacturing techniques.

2. Assessing the Impact and Development of Immersive VR Technology in Education: Insights from Telepresence, Emotion, and Cognition

Source: Technological Forecasting and Social Change, April 2025
Type: Journal Article
DOI: 10.1016/j.techfore.2025.124024
ISSN: 0040-1625
Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng, Meng Chun Lam
This article examines how immersive VR technology influences education, particularly in terms of telepresence, emotion, and cognitive responses, offering valuable insights into the evolving role of VR in educational settings.

3. Personalized Emotion Analysis Based on Fuzzy Multi-Modal Transformer Model

Source: Applied Intelligence, February 2025
Type: Journal Article
DOI: 10.1007/s10489-024-05954-5
ISSN: 0924-669X / 1573-7497
Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
This paper introduces a fuzzy multi-modal transformer model for personalized emotion analysis, which enhances the ability of systems to interpret emotional states through multiple data sources.

4. The Emotional State Transition Model Empowered by Genetic Hybridization Technology on Human–Robot Interaction

Source: IEEE Access, 2024
Type: Journal Article
DOI: 10.1109/access.2024.3434689
ISSN: 2169-3536
Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng, Ah-Lian Kor
This article explores the emotional state transition model used in human-robot interactions, leveraging genetic hybridization technology to create more adaptive, emotion-aware robotic systems.

5. Emotion Assessment and Application in Human-Computer Interaction Interface Based on Backpropagation Neural Network and Artificial Bee Colony Algorithm

Source: Expert Systems with Applications, December 2023
Type: Journal Article
DOI: 10.1016/j.eswa.2023.120857
ISSN: 0957-4174
Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Ah-Lian Kor, Kok Weng Ng
This paper discusses how emotion assessment techniques can be integrated into human-computer interaction systems using backpropagation neural networks and the artificial bee colony algorithm, contributing to more intuitive HCI interfaces.

6. Performance Evaluation of HMI Based on AHP and GRT for GUI

Source: 2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), September 2022
Type: Conference Paper
DOI: 10.1109/iicaiet55139.2022.9936844
Contributors: Jianbang Liu, Mei Choo Ang, Jun Kit Chaw, Kok Weng Ng
This conference paper evaluates the performance of Human-Machine Interfaces (HMIs) based on the Analytical Hierarchy Process (AHP) and Grey Relational Theory (GRT), aiming to improve Graphical User Interface (GUI) design.

Xiaofeng Wu, Pharmacology, Best Researcher Award

Posted on 10/02/202510/02/2025 by scizentoxLeave a Comment

Dr. Xiaofeng Wu: Senior Scientist at Pharmacokinetics, Dynamics and Metabolism at Pfizer Inc, United States

Dr. Xiaofeng Wu is a Senior Scientist at Pfizer Inc., where he works in the Medicine Design division specializing in pharmacokinetics, pharmacodynamics, and metabolism. With a passion for advancing healthcare research, Dr. Wu has focused much of his career on utilizing proteomics and phosphoproteomics to understand complex disease mechanisms, discover novel biomarkers, and monitor drug efficacy. His research has made significant contributions to the field of clinical proteomics, particularly in relation to extracellular vesicles (EVs) derived from human biofluids. Dr. Wu earned his Ph.D. in Analytical Chemistry from Purdue University, where he worked on innovative techniques in mass spectrometry, establishing himself as a leading researcher in translational proteomics.

Online Profiles:

Google Scholar Profile

ORCID Profile

Dr. Wu’s publications have garnered significant attention in the scientific community, with a citation count of 386 and an h-index of 9 (indicating a strong influence in his field). His i10-index stands at 9, showing the sustained impact of his published work.

Education:

Dr. Wu’s academic journey began with a Bachelor of Science in Chemistry from Peking University, where he developed a strong foundation in analytical chemistry. He later pursued a Ph.D. in Analytical Chemistry at Purdue University, under the mentorship of Prof. W. Andy Tao. At Purdue, he focused on the cutting-edge use of mass spectrometry in the study of extracellular vesicles (EVs) for translational research, including drug metabolism, disease biomarkers, and therapeutic monitoring. His doctoral research provided insights into new proteomic techniques that hold promise for improving clinical practices in oncology, cardiovascular diseases, and metabolic disorders.

Research Focus:

Dr. Wu’s research is primarily focused on extracellular vesicles (EVs), tiny particles secreted by cells that carry proteins, lipids, and RNA. He has pioneered methods to isolate and analyze EVs from human biofluids like plasma, urine, and tissue, exploring their potential as sources for disease biomarkers and therapeutic targets. His work is especially notable in the areas of cancer diagnostics, drug response monitoring, and precision medicine. Using advanced mass spectrometry techniques, Dr. Wu’s research aims to provide deeper insights into protein and phosphoprotein signaling in various diseases, enabling faster and more accurate disease diagnosis and treatment efficacy evaluation. He is also dedicated to developing novel, high-throughput analytical methods to make these approaches more practical for clinical settings.

Experience:

Dr. Wu’s professional experience includes his current role as Senior Scientist at Pfizer Inc., where he applies his expertise in pharmacokinetics and mass spectrometry to advance drug development. He plays a pivotal role in the characterization of drug metabolism and efficacy through the analysis of extracellular vesicles. Before joining Pfizer, Dr. Wu earned his Ph.D. at Purdue University, where he worked on multiple collaborative research projects with prominent institutions such as St. Jude Children’s Research Hospital, Merck & Co., and Indiana University Health. Throughout his career, Dr. Wu has co-authored over 20 publications, many in top-tier journals, and has been invited to present his work at international conferences. His multidisciplinary collaborations have also extended to various sectors, including pharmaceutical companies and academic research labs, making him a recognized leader in his field.

Research Timeline:

2022 – Present: Senior Scientist at Pfizer Inc., focusing on pharmacokinetics, pharmacodynamics, and metabolism in drug development. Dr. Wu is heavily involved in the analysis of protein biomarkers in extracellular vesicles for therapeutic assessment.
2016 – 2022: Ph.D. in Analytical Chemistry from Purdue University, under the mentorship of Prof. W. Andy Tao. His dissertation focused on developing new methods for proteomic analysis of extracellular vesicles and their use in clinical applications.
2012 – 2016: Bachelor of Science in Chemistry, Peking University. Dr. Wu’s early research explored the basics of analytical chemistry and mass spectrometry, laying the foundation for his future work in proteomics.

Awards & Honors:

Dr. Wu has received numerous honors and accolades throughout his career. He has been invited to speak at major scientific conferences, including the American Society of Mass Spectrometry and the US HUPO Conference, where he shared his research on EV proteomics and biomarker discovery. Additionally, he serves as a guest reviewer for high-impact journals such as Journal of Proteome Research, Molecular and Cellular Proteomics, and Proteomics – Clinical Applications. He is also on the editorial boards of several scientific journals, reflecting his expertise and influence in the field of analytical chemistry and proteomics. Dr. Wu’s pioneering work on the development of high-throughput methods for analyzing EVs has also been recognized with publications in top-tier journals.

Top-Noted Publication:

Wu, X., Liu, Y.-K., Iliuk, A. B., Tao, W. A. (2023). One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles. Journal of Proteome Research, 22(10), 3301-3310. This publication showcases Dr. Wu’s innovative work on a novel one-pot method for isolating and analyzing extracellular vesicles, providing a fast and efficient approach for clinical proteomics. The paper is highly regarded in the scientific community and has contributed significantly to the advancement of translational research in proteomics.

“Mass spectrometry-based phosphoproteomics in clinical applications”
X Wu, YK Liu, AB Iliuk, WA Tao, TrAC Trends in Analytical Chemistry, 163, 117066 (2023).
This influential paper discusses the role of mass spectrometry in phosphoproteomics, focusing on its clinical applications, including monitoring disease progression and therapeutic responses through protein phosphorylation.
Citations: 9
“In-depth discovery of protein lactylation in hepatocellular carcinoma”
X Wu, Proteomics, 23(9), 2300003 (2023).
This study provides a comprehensive analysis of protein lactylation in hepatocellular carcinoma, uncovering new insights into the post-translational modifications that could serve as biomarkers for liver cancer diagnosis.
Citations: 9
“All-in-One strategy for downstream molecular profiling of tumor-derived exosomes”
S Wang, Y He, J Lu, Y Wang, X Wu, G Yan, X Fang, B Liu, ACS Applied Materials & Interfaces, 14(32), 36341–36352 (2022).
This paper presents a robust strategy for profiling tumor-derived exosomes, offering a powerful tool for molecular cancer diagnostics and therapeutic monitoring.
Citations: 9
“One-Pot Analytical Pipeline for Efficient and Sensitive Proteomic Analysis of Extracellular Vesicles”
YK Liu, X Wu, M Hadisurya, L Li, H Kaimakliotis, A Iliuk, WA Tao, Journal of Proteome Research, 22(10), 3301–3310 (2023).
This publication highlights the development of an efficient and sensitive one-pot analytical pipeline for EV proteomics, improving the speed and accuracy of extracellular vesicle analysis in clinical settings.
Citations: 3
“Isolation and identification of plasma extracellular vesicles protein biomarkers”
MV Lihon, M Hadisurya, X Wu, A Iliuk, WA Tao, Cancer Systems and Integrative Biology, 207–217 (2023).
This study focuses on isolating and identifying plasma EV protein biomarkers, providing significant contributions to cancer biomarker discovery for early detection and monitoring.
Citations: 3
“Monitoring drug metabolic pathways through extracellular vesicles in mouse plasma”
X Wu, M Quan, M Hadisurya, J Hu, YK Liu, Y Zhuang, L Li, AB Iliuk, PNAS Nexus, 3(2), pgae023 (2024).
This paper explores the use of EVs in monitoring drug metabolism pathways in mouse plasma, further bridging the gap between clinical research and therapeutic drug development.
Citations: 2

Dechsak Nakhapaksirat, Medicine, Best Researcher Award

Posted on 02/02/202502/02/2025 by scizentoxLeave a Comment

Dr. Dechsak Nakhapaksirat: Dental instructor at Faculty of Dentistry, Mahidol University, Thailand

Dr. Dechsak Nakhapaksirat is a highly experienced educator and researcher in the field of dentistry, with a focus on clinical education, decision-making, and patient safety. He currently holds the position of Assistant Dean for Dental Education at the Faculty of Dentistry, Mahidol University, where he also serves as a lecturer in the Department of Oral Medicine and Periodontology. With a robust academic background, Dr. Nakhapaksirat is dedicated to improving dental education through evidence-based strategies and innovation.

Online Profiles:

ORCID Profile

Dr. Nakhapaksirat maintains a professional online presence through academic platforms such as ResearchGate, where he shares his research and connects with peers globally. His contributions to the field of dental education and clinical decision-making are widely recognized, particularly through his research on cognitive biases in dentistry and the development of dental curricula.

Education:

Dr. Nakhapaksirat completed his Doctor of Dental Surgery (D.D.S.) degree from Mahidol University in 2002, followed by postgraduate training in General Dentistry. He later pursued a Master’s degree in Medical Education from the University of Dundee (2016) and a PhD in Clinical Education from the University of Edinburgh (2021), cementing his expertise in the intersection of education and dentistry.

Research Focus:

His research interests are centered on clinical errors, patient safety, critical thinking, and cognitive biases in dental decision-making. Dr. Nakhapaksirat has contributed to several studies aimed at improving clinical judgment, reasoning, and curriculum development within dental programs. His work aims to enhance the quality of dental education by identifying key challenges and proposing practical solutions.

Experience:

Dr. Nakhapaksirat has over 15 years of experience in dental education and clinical practice. He has held multiple leadership positions, including Assistant Dean for Human Resources and Special Activities and Assistant Dean for Dental Education at Mahidol University. His academic roles also involve supervising research projects and teaching dental students about oral medicine, clinical decision-making, and diagnostic skills.

Research Timeline:

His research journey spans several years, beginning with his work on cognitive biases in clinical decision-making, and has evolved to include studies on improving dental students’ clinical performance, patient safety, and the development of dental curricula. Key milestones include his 2016 Master’s research on newly graduated dentists and his 2021 PhD thesis exploring clinical decision-making processes in dentistry.

Awards & Honors:

Dr. Nakhapaksirat has been recognized for his contributions to dental education and research, notably with several poster and oral presentations at prestigious international conferences. His academic achievements are highlighted by his publication in the Journal of Dental Education and his involvement in developing curricula to improve clinical decision-making and diagnostic skills in dental students.

Top-Noted Publication:

One of his significant publications is “Evaluation of teaching cognitive bias for dental students during the transition to independent dental practice,” published in the Journal of Dental Education. This work has contributed to the understanding of cognitive biases in dental education and the impact they have on clinical decision-making, marking a key development in his research on improving dental education practices.

One of Dr. Nakhapaksirat’s significant contributions to dental education is his article titled “Evaluation of Teaching Cognitive Bias to Dental Students During the Transition to Independent Dental Practice,” published in the Journal of Dental Education on December 17, 2024. This article explores how cognitive biases affect the decision-making processes of dental students as they transition into independent practice. The study provides valuable insights into improving educational strategies to address these biases, ensuring that students develop stronger clinical reasoning skills. The publication can be accessed with the DOI: 10.1002/jdd.13811.