Tag: Best Researcher Award

Abhishek Bansal, Medicine, Best Researcher Award

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Doctorate Abhishek Bansal: Assistant professor at The oxford medical college hospital and research centre, India

Dr. Abhishek Bansal is a distinguished clinical biochemist with a deep focus on the biochemical underpinnings of diabetes, metabolic syndrome, kidney disorders, and molecular signaling. With an academic background including a Ph.D. in Medical Biochemistry from Malwanchal University, Indore, Dr. Bansal has established himself as a prominent researcher and educator. His work revolves around understanding chronic diseases and their biomarkers, contributing significantly to the advancement of clinical diagnostics. Dr. Bansal has authored 33 publications, including books, book chapters, and research articles, and has participated in numerous international workshops, enhancing his expertise in medical biochemistry and molecular diagnostics. He is currently an Assistant Professor at The Oxford Medical College, Hospital & Research Centre, Bangalore, where he continues to advance the field of biochemistry and mentor the next generation of researchers.

Online Profiles

Education

Dr. Abhishek Bansal’s educational journey is marked by rigorous academic training in medical biochemistry. He completed his Ph.D. in Medical Biochemistry at Malwanchal University, Indore in 2024, where his research focused on the evaluation of biomarkers for chronic kidney disease, a project supervised by Dr. Shreya Nigoskar. His M.Sc. in Medical Biochemistry was awarded by Jawaharlal Nehru Medical College, KAHER, Belagavi in 2020. His master’s thesis explored the correlation between plasma ascorbate levels and Type 2 diabetes management, supervised by Dr. Chetana P. Hadimani. Dr. Bansal’s foundational training began with a B.Sc. in Medical Laboratory Technology from MM(DU), Mullana, Haryana in 2016, where he was introduced to clinical laboratory technologies and methodologies. This combination of academic rigor and hands-on research experience has equipped him with a comprehensive understanding of medical biochemistry and clinical diagnostics.

Research Focus

Dr. Bansal’s research is deeply rooted in the intersection of clinical biochemistry, diabetes, metabolic syndrome, and kidney disorders. His research interests are specifically concentrated on identifying novel biomarkers that could improve the early detection, diagnosis, and management of chronic kidney disease (CKD) and metabolic diseases. He is particularly interested in molecular signaling pathways and their alterations in chronic diseases such as Type 2 diabetes and kidney dysfunction. Dr. Bansal’s recent work has led to an exploration of human neutrophil gelatinase-associated lipocalin (NGAL), asymmetric dimethylarginine (ADMA), and kidney injury molecule-1 (KIM-1) as promising biomarkers for CKD, which could significantly improve clinical outcomes through early intervention.

Experience

Dr. Bansal has accumulated diverse teaching and research experience in academic and clinical settings. He began his teaching career as a Tutor/Demonstrator in the Department of Biochemistry at Government Medical College, Rajouri (Aug 2021 – Apr 2022), where he helped students understand clinical biochemistry concepts and laboratory techniques. He later joined Pt. BDS PGIMS, Rohtak, where he continued in a similar role, further honing his teaching and research skills. Since June 2024, Dr. Bansal has been serving as Assistant Professor in the Department of Biochemistry at The Oxford Medical College, Hospital & Research Centre, Bangalore. In this position, he teaches undergraduate and postgraduate students, mentors research projects, and contributes to departmental initiatives in medical research.

Research Timeline

  • 2024: Ph.D. in Medical Biochemistry, Malwanchal University, Indore – Thesis on kidney disease biomarkers.

  • 2020: M.Sc. in Medical Biochemistry, Jawaharlal Nehru Medical College, KAHER, Belagavi – Research on plasma ascorbate levels in Type 2 diabetes.

  • 2016: B.Sc. in Medical Laboratory Technology, MM(DU), Mullana, Haryana – Gained foundational knowledge in clinical laboratory techniques.

  • Aug 2021 – Apr 2022: Tutor/Demonstrator, Govt. Medical College, Rajouri

  • Apr 2022 – May 2024: Tutor/Demonstrator, Pt. BDS PGIMS, Rohtak

  • Jun 2024 – Present: Assistant Professor, The Oxford Medical College, Hospital & Research Centre, Bangalore

  • 2018-2020: Conducted research on Vitamin C’s impact on Type 2 diabetes as part of M.Sc. thesis.

Awards & Honors

Dr. Bansal’s exceptional contributions to the field of medical biochemistry have earned him several prestigious fellowships and honors. He holds the title of FMIIP (Fellow, Medical and Industrial Institute of Pathology), FMERU (Fellow, Medical Education and Research University), and FMERC (Fellow, Medical and Educational Research Council), marking his academic excellence and contributions to clinical research. These recognitions are a testament to his sustained commitment to advancing medical education and clinical biochemistry.

Top-Noted Publication

Dr. Bansal’s research on chronic kidney disease biomarkers is widely regarded as one of his most impactful contributions. His doctoral thesis titled, “Evaluation of Serum Human Neutrophil Gelatinase-Associated Lipocalin, Asymmetric Dimethylarginine, Kidney Injury Molecule-1, and Beta-Trace Protein as Potential Biomarkers of Chronic Kidney Disease”, has been published in leading international journals. This work is a significant step forward in the identification of non-invasive biomarkers that can aid in the early diagnosis and prognosis of chronic kidney disease. His contributions to biochemistry and nephrology are shaping new approaches in clinical diagnostics.

1. Evaluating Asymmetric Dimethylarginine (ADMA) as a Biomarker for Preeclampsia: A Meta-Analysis

  • Journal: Journal of Neonatal Surgery

  • Year: 2025

  • DOI: 10.52783/jns.v14.1599

  • EID: 2-s2.0-85218718990

  • ISSN: 2226-0439

  • Contributors: Bansal, A.; Hadimani, C.P.; Patil, S.B.; Lah, N.A.Z.B.N.

  • Summary: This meta-analysis evaluates the potential of Asymmetric Dimethylarginine (ADMA) as a reliable biomarker for predicting preeclampsia, a condition that affects pregnant women and can lead to serious complications. This research contributes to improving early detection and management strategies for preeclampsia.

2. Serum Adipsin Levels as a New Marker in Type 2 Diabetes Mellitus: A Meta-Analysis

  • Journal: International Journal of Diabetes in Developing Countries

  • Year: 2025

  • DOI: 10.1007/s13410-025-01449-2

  • EID: 2-s2.0-85217198282

  • ISSN: 0973-3930, 1998-3832

  • Contributors: Bansal, A.; Honnapurmath, V.K.; Singh, A.

  • Summary: This meta-analysis investigates the relationship between serum adipsin levels and Type 2 diabetes mellitus (T2DM). The study highlights adipsin as a promising new biomarker for the disease, offering potential for improved diagnosis and therapeutic strategies in diabetic care.

3. Serum Fetuin-A as a Biomarker for Gestational Diabetes Mellitus: A Meta-Analysis

  • Journal: International Journal of Diabetes in Developing Countries

  • Year: 2025

  • DOI: 10.1007/s13410-025-01507-9

  • EID: 2-s2.0-105007297404

  • ISSN: 0973-3930, 1998-3832

  • Contributors: Bansal, A.; Pragaspathy, V.

  • Summary: This article explores the role of fetuin-A as a potential biomarker for gestational diabetes mellitus (GDM). By conducting a comprehensive meta-analysis, the study supports fetuin-A’s potential in predicting GDM, which could lead to better management and outcomes for pregnant women.

4. AEFI (Adverse Events Following Immunization) Among Children Less Than 2 Years Following Pentavalent Vaccine: A Cross-Sectional Study in India

  • Journal: Journal of Pharmaceutical and Therapeutic Research

  • Year: 2024

  • DOI: 10.53555/jptcp.v31i3.4779

  • Contributors: Dixit, P.; Prashant, P.; Gera, V.; Bansal, A.; Bansal, A.

  • Summary: This cross-sectional study investigates the adverse events following immunization (AEFI) in children under 2 years old in India after receiving the Pentavalent vaccine. The study provides valuable insights into vaccine safety and emphasizes the importance of monitoring adverse events post-vaccination.

5. Development of an Anti-Microbial Starch-Based Polymer Film Embedded with Silver Nanoparticles by Green Synthesis from Tea Extract: A Potential Low-Cost Wound Dressing for Rural Populations in Developing Countries

  • Journal: International Journal of Biomedical Nanoscience and Nanotechnology

  • Year: 2024

  • Report Type: Research Report

  • Contributors: Dinda, S.; Patil, A.B.; Hogade, S.A.; Bansal, A.

  • Summary: This innovative report outlines the development of a starch-based polymer film containing silver nanoparticles, synthesized through a green process using tea extract. The wound dressing, aimed at rural populations in developing countries, offers a low-cost, effective solution for wound care and antimicrobial protection.

Muhammad Ahmad, Computer Science, Best Researcher Award

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Doctorate Muhammad Ahmad: Student at University of Electronic Science and Technology of China, China

Muhammad Ahmad is a passionate AI researcher and software engineer with expertise in generative AI, deep learning, and medical image analysis. Currently, he is pursuing a Master’s degree in Information and Communication Engineering at the University of Electronic Science and Technology of China (UESTC), where he maintains a strong academic record with a GPA of 3.54/4.0. Muhammad combines his solid theoretical background with hands-on experience in developing innovative AI models, focusing on healthcare applications to improve diagnostic accuracy and patient outcomes.

Online Profiles

ORCID Profile

Education

Muhammad completed his Bachelor of Science in Computer Science from the University of South Asia in Lahore, Pakistan, graduating with a CGPA of 3.16/4.0. During his undergraduate studies, he conducted a notable final year project on Walmart Weekly Sales Prediction using machine learning techniques. Currently, he is advancing his knowledge and research capabilities through a fully funded Master’s program at UESTC, China, where his studies focus on cutting-edge topics such as large language models, generative AI, and medical imaging technologies.

Research Focus

His research is concentrated on the application of deep learning and generative AI methods to medical imaging, particularly focusing on neurodegenerative diseases and brain tumor diagnostics. Muhammad explores the fusion of local and global image features using hybrid architectures and leverages large language models (LLMs) to improve the interpretability and accuracy of medical image analysis, aiming to develop scalable AI solutions for early disease detection and prognosis.

Experience

Muhammad has garnered practical industry experience as a Software Engineer specializing in Artificial Intelligence at E-teleQuote Inc. in Florida, USA, where he led projects on generative AI, real-time chatbot development, and speech-to-text and sentiment analysis technologies. Prior to this, he completed a Machine Learning internship at Quid Sol in Lahore, Pakistan, where he built data pipelines, implemented machine learning algorithms for object detection and tracking, and developed custom deep learning models, strengthening his skills in feature engineering and AI optimization.

Research Timeline

In June 2025, Muhammad published a peer-reviewed article on a hybrid deep learning architecture with adaptive feature fusion for Alzheimer’s disease classification in Brain Sciences. In May 2025, he submitted a manuscript detailing a novel method for dynamic fusion of local and global features aimed at improving brain tumor diagnosis to the International Journal of Machine Learning and Cybernetics. These works reflect his commitment to advancing AI-driven medical research through innovative model designs and rigorous evaluation.

Awards & Honors

Muhammad’s academic excellence and community contributions have been recognized through several awards, including a fully funded scholarship for his Master’s degree at UESTC. He earned a semester scholarship for excellence in a machine learning workshop and received volunteer recognition for his active role in community welfare initiatives through the Rooh Foundation. Additionally, he has demonstrated his technical prowess by winning first and second positions in competitive web development contests hosted by COMSATS University and Superior University, respectively.

Top-Noted Publication

Muhammad’s most notable publication, “Hybrid Deep Learning Architecture with Adaptive Feature Fusion for Multi-Stage Alzheimer’s Disease Classification,” published in Brain Sciences in 2025, presents an innovative approach that integrates multiple feature sets for more accurate staging of Alzheimer’s disease. This research contributes significantly to the field of AI-assisted medical diagnostics by enhancing feature representation and classification performance, offering a promising tool for clinical applications.

Hybrid Deep Learning Architecture with Adaptive Feature Fusion for Multi-Stage Alzheimer’s Disease Classification
Brain Sciences | 2025-06-06
DOI: 10.3390/brainsci15060612
Contributors: Ahmad Muhammad, Qi Jin, Osman Elwasila, Yonis Gulzar

Abstract (expanded):
This article introduces a novel hybrid deep learning architecture designed to enhance the classification of Alzheimer’s disease (AD) through the integration of adaptive feature fusion. The model combines both global and local features from neuroimaging data, optimizing classification performance across multiple stages of Alzheimer’s disease. The study leverages convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to process and fuse brain images for a more accurate disease diagnosis and staging. By enhancing feature extraction with adaptive fusion techniques, the architecture outperforms traditional methods in terms of accuracy and reliability.

Key Contributions:

  1. Hybrid Model Design: The integration of CNNs for feature extraction and RNNs for sequence learning provides a comprehensive framework for Alzheimer’s classification.

  2. Adaptive Feature Fusion: The study proposes a dynamic fusion strategy that adapts to various stages of the disease, improving classification precision.

  3. Stage-Specific Diagnosis: The model successfully categorizes Alzheimer’s at different stages, addressing the clinical challenge of early-stage detection.

Impact & Relevance:
This work is a significant step forward in the use of AI for medical diagnostics, particularly for neurodegenerative diseases. The proposed model has the potential to aid clinicians in diagnosing Alzheimer’s disease at earlier stages, leading to better patient outcomes. It highlights the growing role of deep learning in medical image analysis and opens doors for future research on hybrid architectures in healthcare.

Khadija Daoud, Public Health, Best Researcher Award

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Doctorate Khadija Daoud: Phd Student at Sciences and Engineering of Biomedicals, Biophysics and Health Laboratory, Higher Institute of Health Sciences, Hassan First University, Settat, Morocco

Khadija Daoudi is a dedicated PhD candidate in Health Sciences at the Higher Institute of Health Sciences – Hassan, with a strong foundation in nursing sciences and health education. She specializes in analyzing communication patterns within health education sessions to improve interaction between educators and students, ultimately enhancing health literacy and patient care. Khadija combines her research expertise with practical teaching experience, demonstrating leadership, resilience, and a commitment to advancing health education in Morocco and beyond. Her multidisciplinary approach integrates analytical thinking and interpersonal skills to address real-world healthcare challenges.

Online Profiles

ORCID Profile

Khadija Daoudi is affiliated with Université Hassan 1er, Settat, Morocco. She is registered on Scopus under ID 59152670500 and has an ORCID profile (0009-0003-3220-6492) that catalogs her research output. Her academic work includes 3 published documents, which have been cited 6 times, resulting in an h-index of 1. Khadija’s research profile is also connected to Mendeley, providing further access to her publications and collaborations within the academic community.

Education

Khadija earned her Bachelor’s Degree in Nursing Sciences from the Higher Institute of Health Sciences – Settat, equipping her with both theoretical knowledge and practical clinical skills. She is currently pursuing a PhD in Health Sciences at the Higher Institute of Health Sciences – Hassan, where she focuses on interaction analysis in health education settings. Prior to this, she completed her Baccalaureate with honors in the Science Track, demonstrating a strong academic foundation and commitment to scientific research from an early stage in her education.

Research Focus

Her research centers on the psychometric evaluation and application of the Roter Interaction Analysis System (RIAS) in Moroccan health education contexts, aiming to better understand communication dynamics between educators and students. She investigates how these interactions influence health education outcomes and behavior change. Additionally, Khadija explores the role of advanced nursing practice in palliative care, conducting rapid reviews to identify best practices and improve patient care delivery. Her work bridges the gap between communication theory and healthcare practice.

Experience

Since 2018, Khadija has worked as a teacher under the Ministry of National Education in the Province of Settat, Morocco. In this capacity, she delivers health education, develops curricula, and fosters effective communication skills among students. Her teaching approach is enriched by her multilingual abilities: she is a native Arabic speaker and proficient in French and English (both at C1 level), with intermediate proficiency in Spanish (B1). This linguistic versatility enables her to engage a diverse student body and adapt educational content to varied audiences.

Research Timeline

Khadija’s research trajectory includes several key scholarly contributions. In 2024, she published a scoping review on educator-student communication patterns in health education, followed by a rapid review on advancing palliative care through advanced nursing practice. Her most recent publication in 2025 focuses on the psychometric properties of the Roter Interaction Analysis System within Moroccan schools, reflecting her ongoing commitment to enhancing health communication research. These publications highlight her consistent academic productivity throughout her doctoral studies.

Awards & Honors

Throughout her academic career, Khadija has consistently demonstrated excellence, graduating with honors in her Baccalaureate Science Track. Her research has been recognized through multiple peer-reviewed journal publications, establishing her reputation as a dedicated and impactful scholar in health sciences. She continues to strive for academic and professional excellence, contributing valuable insights to health education and nursing practice research in Morocco and internationally.

Top-Noted Publication

One of Khadija’s most significant works is “Psychometric characteristics of Roter Interaction Analysis System (RIAS) in the context of health education in a Moroccan school,” published in PEC Innovation in 2025. Co-authored with Khaoula Jounaidi and Abdellah Gantare, this study evaluates the reliability and validity of RIAS as a communication assessment tool in Moroccan health education settings. The publication has important implications for improving educator training and patient communication strategies, offering a culturally relevant perspective that enhances health education effectiveness in Morocco and similar contexts.

Top-Noted Publication

Khadija’s landmark publication, “Psychometric characteristics of Roter interaction analysis system (RIAS) in the context of health education in a Moroccan school,” published in PEC Innovation in 2025, offers critical validation of an established communication analysis tool within a unique cultural context. This work has significant implications for improving health educator training and optimizing communication strategies to enhance patient outcomes in Morocco and similar settings.

  • Psychometric characteristics of Roter Interaction Analysis System (RIAS) in the context of health education in a Moroccan school

    • Journal: PEC Innovation

    • Date: June 2025

    • DOI: 10.1016/j.pecinn.2025.100403

    • ISSN: 2772-6282

    • Contributors: Khadija Daoudi, Khaoula Jounaidi, Abdellah Gantare

  • Advancing Palliative Care through Advanced Nursing Practice: A Rapid Review

    • Journal: Indian Journal of Palliative Care

    • Date: 2024

    • DOI: 10.25259/IJPC_308_2023

    • ISSN: 1998-3735, 0973-1075

    • Contributors: K. Jounaidi, M. Hamdoune, K. Daoudi, N. Barka, A. Gantare

  • Exploring Educator-Student Communication Patterns in Health Education Settings: A Scoping Review

    • Journal: Pakistan Journal of Life and Social Sciences

    • Date: 2024

    • DOI: 10.57239/PJLSS-2024-22.1.00375

    • ISSN: 2221-7630, 1727-4915

    • Contributors: Khadija Daoudi, Abdellah Gantare

Xuemei Xie, Public Health, Best Researcher Award

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Doctorate Xuemei Xie: Assistant Professor at University of Hawaii Cancer Center, United States

Dr. Xuemei Xie is a cancer biologist and translational oncology researcher currently serving as an Assistant Professor in the Cancer Biology Program at the University of Hawai‘i Cancer Center. With a research career spanning over two decades across China, Canada, and the United States, she has developed an internationally recognized profile in aggressive breast cancer research, particularly in triple-negative breast cancer (TNBC) and inflammatory breast cancer. Her work bridges basic science and clinical translation, focusing on the tumor microenvironment, signal transduction pathways, and novel therapeutic strategies. Through extensive collaborations, grant-funded projects, and impactful publications, Dr. Xie has established herself as a leading voice in breast cancer translational research.

Online Profiles

ORCID Profile

Dr. Xie maintains an active academic presence through several professional and scholarly platforms. Her Google Scholar profile tracks over 50 peer-reviewed publications in oncology and immunology, while her ResearchGate profile shares research updates, project summaries, and full-text access. She also contributes to editorial and peer review efforts for leading journals such as Cancer Immunology, Immunotherapy, Biomedicines, and Frontiers in Medicine. Additionally, she may be listed on her institutional faculty page at the University of Hawai‘i Cancer Center and may maintain a presence on LinkedIn for networking and academic outreach.

Education

Dr. Xie received her foundational training in biology with a B.Sc. in Zoology from Lanzhou University in China (1988–1992). She later pursued advanced graduate studies in Canada, earning her M.Sc. in Reproductive Immunology at the University of Guelph (2002–2004), where she focused on murine immune cell function during pregnancy. She continued her doctoral research at the same institution in Recombinant Antibody Engineering Technology (2004–2009), with her Ph.D. research funded by competitive Canadian scholarships including the NSERC Canada Graduate Scholarship D. She then completed a prestigious postdoctoral fellowship at The University of Texas MD Anderson Cancer Center, where she specialized in breast and ovarian cancer biology.

Research Focus

Dr. Xie’s research centers on understanding and targeting key signaling pathways and immune mechanisms that promote tumor progression, metastasis, and therapy resistance in breast cancer. She is particularly focused on the immunosuppressive role of the JNK pathway in the tumor microenvironment, and how it drives immune evasion in TNBC. Her team investigates targeted therapies, including immunoproteasome inhibitors, CDK7 and androgen receptor inhibitors, and antibody-drug conjugates. Her work also integrates pharmacologic, transcriptomic, and immunologic methods to identify synergistic drug combinations and predictive biomarkers, with the long-term goal of advancing personalized therapy for breast cancer patients.

Experience

Dr. Xie brings a rich combination of academic and industry experience. She began her career as a faculty member in the Department of Biology at Qinghai Normal University, then transitioned to biomedical research in Canada and the U.S. She spent over a decade at MD Anderson Cancer Center in roles ranging from postdoctoral fellow to senior research scientist, leading preclinical projects and mentoring trainees. In the biotech sector, she served as Principal Scientist and Director of Oncology and Pharmacology at Wuhan YZY Biopharma, where she led immunotherapy programs and contributed to FDA IND applications. In 2023, she joined the University of Hawai‘i Cancer Center as Assistant Professor, launching her independent research program on TNBC.

Research Timeline

Dr. Xie’s scientific career spans more than 30 years and reflects a continuous evolution in cancer research. Between 1992 and 1999, she taught and conducted reproductive ecology research in China. From 2002 to 2009, she conducted graduate and doctoral research in immunology and antibody engineering in Canada. From 2010 to 2023, she held research appointments at MD Anderson Cancer Center, contributing significantly to preclinical therapeutic development. Her recent transition to faculty leadership at the University of Hawai‘i Cancer Center in 2023 marked the launch of her NIH R01-funded independent lab focused on immunomodulatory therapies in breast cancer.

Awards & Honors

Dr. Xie has been widely recognized for her scientific contributions and mentoring excellence. Her accolades include the 1st Prize Poster Award at the 2025 International Workshop on Inflammatory Breast Cancer in Tunisia, the 2021 Zeta Tau Alpha (ZTA) Fellowship Award at MD Anderson, and multiple Employee Performance Awards for research excellence. She is also a past recipient of the Susan G. Komen Postdoctoral Fellowship and NSERC Canada Scholarships. Her consistent recognition—from early academic scholarships to competitive international research grants—underscores her sustained impact in oncology research and her commitment to scientific advancement.

Top-Noted Publication

Among her many influential publications, one of the most impactful is: Xie X, et al. Targeting CDK7 enhances the antitumor efficacy of enzalutamide in androgen receptor-positive triple-negative breast cancer by inhibiting c-MYC-mediated tumorigenesis. Molecular Cancer Therapeutics (2025); 24(6):870–883. This study identified a promising strategy for overcoming resistance to androgen receptor inhibitors by dual-targeting CDK7, providing a foundation for future clinical trials. The work is notable for its mechanistic depth and translational relevance, marking a key advancement in targeted therapy for a challenging breast cancer subtype.

  • Targeting CDK7 Enhances the Antitumor Efficacy of Enzalutamide in Androgen Receptor–Positive Triple-Negative Breast Cancer by Inhibiting c-MYC–mediated Tumorigenesis

    • Type: Preprint

    • Date: 2025-06-04

    • DOI: 10.1158/1535-7163.c.7856556

    • Contributors: Xuemei Xie, Maroua Manai, Dileep R. Rampa, Jon A. Fuson, Elizabeth S. Nakasone, Troy Pearson, Bharat S. Kuntal, Debu Tripathy, Naoto T. Ueno, Jangsoon Lee

    • Source: Crossref

  • LMP7-Specific Inhibitor M3258 Modulates the Tumor Microenvironment of Triple-Negative Breast Cancer and Inflammatory Breast Cancer

    • Type: Journal article

    • Date: 2025-06-04

    • DOI: 10.3390/cancers17111887

    • Contributors: Xuemei Xie, Jangsoon Lee, Ganiraju C. Manyam, Troy Pearson, Gina Walter-Bausch, Manja Friese-Hamim, Sheng Zhao, Julia Jabs, Angela A. Manginelli, Nadine Piske et al.

    • Source: Crossref

  • Supplementary Figure S1 from Targeting CDK7 Enhances the Antitumor Efficacy of Enzalutamide in Androgen Receptor–Positive Triple-Negative Breast Cancer

    • Type: Preprint Supplementary

    • Date: 2025-06-04

    • DOI: 10.1158/1535-7163.29234055

    • Contributors: Same as main preprint

    • Source: Crossref

  • Supplementary Figure S2 from Targeting CDK7 Enhances the Antitumor Efficacy of Enzalutamide in Androgen Receptor–Positive Triple-Negative Breast Cancer

    • Type: Preprint Supplementary

    • Date: 2025-06-04

    • DOI: 10.1158/1535-7163.29234052

    • Contributors: Same as main preprint

    • Source: Crossref

  • Supplementary Figure S3 from Targeting CDK7 Enhances the Antitumor Efficacy of Enzalutamide in Androgen Receptor–Positive Triple-Negative Breast Cancer

    • Type: Preprint Supplementary

    • Date: 2025-06-04

    • DOI: 10.1158/1535-7163.29234049

    • Contributors: Same as main preprint

    • Source: Crossref

Hairch Youssef, Physics, Best Researcher Award

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Doctorate Hairch Youssef: Research doctor at University of Chouaib Doukkali, Science Engineering Laboratory for Energy, National School of Applied Sciences, Morocco

Youssef Hairch is an experienced academic and researcher in the fields of physics, mechanics, and material science. With a focus on mechanical dynamics, fluid systems, and polymer membranes, he has made significant contributions to understanding the behavior of materials under various physical conditions. Dr. Hairch completed his Ph.D. in Physics, Mechanics, and Materials Science from the University of Chouaib Doukkali, where he continues to contribute as a faculty member. His research interests extend into renewable energy solutions, including hydrogen production via membrane technology, and environmental sustainability. Throughout his career, he has actively contributed to both theoretical research and practical applications, driving forward innovation in areas such as wastewater treatment, energy systems, and material engineering.

Online Profiles

Education

Dr. Youssef Hairch’s academic journey began at the Polydisciplinary Faculty of Safi, where he earned his Bachelor’s degree in Physics in 2007. His pursuit of advanced knowledge led him to the Faculty of Science and Technology of Settat, where he obtained a Master’s degree in Mechanical Engineering and System Modeling (2010), specializing in mechanical systems and computational modeling. He furthered his academic excellence by completing his Ph.D. in Physics, Mechanics, and Materials Science at the University of Chouaib Doukkali in El Jadida (2020), where he conducted pioneering research on polymer membranes, mass transport phenomena, and renewable energy technologies. Dr. Hairch’s education reflects his commitment to both deep theoretical understanding and practical application in the field of physical sciences.

Research Focus

Dr. Hairch’s research spans a diverse range of topics within the realm of material science, fluid mechanics, and renewable energy. His primary focus lies in understanding the behavior of polymeric membranes in various applications, particularly in hydrogen production, water desalination, and membrane separation technologies. He also explores viscoelastic materials, their mass transport properties, and how phase separation influences their performance in industrial applications. A key area of his work includes the design of sustainable systems that address critical environmental challenges, such as wastewater treatment and energy-efficient filtration systems. In addition to his work on polymers, Dr. Hairch is investigating the dynamic properties of droplets and fluid interface dynamics, particularly in the context of respiratory aerosols and pandemic control.

Experience

Dr. Hairch has a rich teaching background, having worked at various educational institutions including the National School of Applied Sciences of El Jadida (ENSAJ) and the National School of Applied Sciences of Safi (ENSAS). His pedagogical experience encompasses a wide range of courses, from fluid mechanics and thermodynamics to material science and optical physics. He has taught numerous practical and theoretical courses, including mechanics of solids, fluid dynamics, and thermodynamic systems, providing hands-on learning experiences to students. Additionally, Dr. Hairch has co-supervised several Master’s thesis projects, contributing to advancements in fields such as membrane technology and energy systems. His role in mentoring students extends beyond academic instruction to practical problem-solving in applied engineering contexts.

Research Timeline

  • 2015–2020: Dr. Hairch completed his Ph.D. in Physics and Mechanical Engineering, where he developed advanced models of mass transport and phase-separated polymeric membranes.

  • 2020–2023: Focus shifted to fluid dynamics, polymer mechanics, and membrane separation technologies. Dr. Hairch investigated hydrogen permeation and membrane stability in hydrogen production processes. His work also encompassed modeling the interfacial dynamics of complex materials in fluid systems.

  • 2023–Present: Currently exploring innovative solutions for sustainable water treatment systems, including electromagnetic applications in desalination technologies and environmental engineering. His most recent research also delves into energy-efficient systems and green hydrogen technologies for industrial applications.

Awards & Honors

Dr. Hairch’s contributions to science and technology have been recognized through various awards and accolades:

  • 2024: Dr. Hairch was awarded multiple patents related to water desalination and wastewater treatment, with the aim to revolutionize environmental engineering technologies.

  • 2020: Awarded the Highly Commended Paper Award for his publication on polymeric membranes in the Journal of Membrane Science, underscoring his significant impact on the field of membrane technology.

  • 2019: Best Paper Award at the International Conference on Polymer Science, recognizing his pioneering work on phase-separated polymeric membranes for industrial applications.

  • 2018: Recognized by the Scientific Society of Material Science for innovative research in mechanical properties of polymeric membranes.

Top-Noted Publication

  • “Exploring the Mechanical Dynamics and Physical Characteristics of Droplets Using Face Mask Materials”
    Euro-Mediterranean Journal for Environmental Integration, 2025.
    DOI: 10.1007/s41207-024-00634-9
    This study explores the mechanical dynamics of droplets and their physical characteristics in the context of face mask materials, focusing on applications for aerosol transmission and pandemic control.

  • “A Numerical Study of Interface Dynamics in Fluid Materials”
    Matériaux & Techniques, 2024.
    DOI: 10.1051/mattech/2024018
    This paper provides a numerical study of the interface dynamics in fluid materials, aiming to better understand material behavior in real-world fluid-based applications.

  • “Assessment of Sand and Hearth Ash Filtration for Wastewater Treatment and Novel Monitoring via Complex Conductivity”
    Euro-Mediterranean Journal for Environmental Integration, 2024.
    DOI: 10.1007/s41207-024-00535-x
    This publication investigates the use of sand and hearth ash for wastewater treatment, introducing a novel monitoring approach based on complex conductivity for efficient filtration in environmental systems.
    EID: 2-s2.0-85192511893
    Source: Scopus – Elsevier

  • “First-Principles Study of Olivine AFePO₄ (A = Li, Na) as a Positive Electrode for Lithium-Ion and Sodium-Ion Batteries”
    Euro-Mediterranean Journal for Environmental Integration, 2024.
    DOI: 10.1007/s41207-024-00639-4
    This article presents a first-principles study of olivine-based materials for use as positive electrodes in lithium-ion and sodium-ion batteries, contributing to advancements in energy storage technologies.
    EID: 2-s2.0-85203281746
    Source: Scopus – Elsevier

  • “Mathematical Modeling of Mechanical Properties in the Permeation of Green Hydrogen Through Membrane Separation Materials”
    Mathematical Modeling and Computing, 2024.
    DOI: 10.23939/mmc2024.02.359
    This research delves into mathematical modeling of the mechanical properties involved in the permeation of green hydrogen through membrane separation materials, offering insights for sustainable energy applications.
    EID: 2-s2.0-85191316249
    Source: Scopus – Elsevier

Nicholas Mueller, Mathematics, Best Researcher Award

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Doctorate Nicholas Mueller: PhD student at Monash University, Australia

Nicholas Mueller is a dedicated mathematician and engineer who combines a strong theoretical foundation with a practical focus on real-world applications. His work spans multiple disciplines, from mathematical modeling and numerical methods to high-performance computing, particularly in fluid dynamics and structural mechanics. Currently a PhD candidate at Monash University, Nicholas is focused on enhancing the computational efficiency of simulations for complex, unsteady physical systems. His passion lies in solving challenging problems through collaboration, deep theoretical analysis, and cutting-edge computational techniques, positioning him as a future leader in applied mathematics and scientific computing.

Online Profiles

Education

  • Monash University (Australia), 2022-2025
    Pursuing a Doctorate in Applied Mathematics, Nicholas is focusing on the development of linear reduced order models to solve complex, unsteady parameterized partial differential equations. His research integrates both theoretical and computational approaches to optimize the performance of high-dimensional simulations in fluid dynamics, structural mechanics, and other fields.

  • Ecole Polytechnique Fédérale de Lausanne (Switzerland), 2019-2021
    Master’s degree with distinction, specializing in reduced modeling of unsteady Stokes flow. During this time, Nicholas developed novel methods to reduce computational complexity in fluid flow simulations while maintaining high accuracy, particularly in applications related to arterial blood flow.

  • Politecnico di Milano (Italy), 2016-2019
    Bachelor of Science in Mathematical Engineering, focusing on numerical methods for partial differential equations. His undergraduate thesis, on the development of solvers for the Bidomain model of the human heart, showcased his early interest in applying mathematical techniques to biological and medical problems.

Research Focus

Nicholas’s research centers on developing efficient computational methods to solve parameterized, unsteady partial differential equations (PDEs) using reduced order models (ROMs). These techniques enable simulations of complex systems, such as fluid dynamics and structural mechanics, to be carried out with significantly lower computational costs. His work particularly addresses the challenges of unsteady flow in systems where traditional methods are computationally expensive, and focuses on the application of these models to a wide range of scientific and engineering problems, including cardiovascular modeling and aerospace engineering.

Experience

In addition to his academic experience, Nicholas gained hands-on expertise at CSEM, Switzerland, where he worked as an intern on a research project involving topology optimization for aerospace applications. This experience enhanced his skills in numerical analysis, solver development, and validation, providing him with practical insights into applying mathematical theory to real-world engineering problems. Nicholas is also proficient in a variety of programming languages and tools, including Julia, Python, Matlab, C++, and Comsol, making him versatile in his computational research.

Research Timeline

  • 2022-Present: PhD research at Monash University, focusing on linear reduced order models for unsteady parameterized PDEs, aiming to improve the efficiency and accuracy of simulations.

  • 2019-2021: Master’s thesis research at EPFL, creating a space-time reduced model to solve unsteady Stokes equations for hæmodynamic simulations, significantly reducing computational time while retaining accuracy.

  • 2016-2019: Undergraduate research at Politecnico di Milano, focusing on developing numerical solvers for cardiac electrophysiology through finite element methods for the Bidomain model.

Awards & Honors

  • Monash University PhD Fellowship: Awarded a prestigious fellowship to support Nicholas’s doctoral research in Applied Mathematics, providing funding for his extensive computational and theoretical work.

  • EPFL Excellence in Research Award: Nicholas received this award for his outstanding contributions to the field of computational fluid dynamics and reduced order modeling.

  • Best Master’s Thesis Award: Recognized for the exceptional quality and impact of his master’s thesis, which advanced the field of space-time reduced modeling in fluid mechanics.
    These awards highlight Nicholas’s dedication to research excellence and his ability to contribute significantly to cutting-edge scientific fields.

Top-Noted Publication

  • Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations, SIAM Journal on Scientific Computing (2024).
    This publication presents innovative space-time reduced basis methods to efficiently solve parameterized unsteady Stokes equations, with applications in bioengineering, particularly in modeling blood flow dynamics. The work has contributed to advancing the understanding and application of reduced-order modeling techniques in computational fluid dynamics, helping to bridge the gap between high-fidelity simulations and real-time, practical applications.

  • A Tensor-Train Reduced Basis Solver for Parameterized Partial Differential Equations on Cartesian Grids
    Journal of Computational and Applied Mathematics, 2025
    DOI: 10.1016/j.cam.2025.116790

    • In this paper, Nicholas Mueller and his collaborators introduce a novel tensor-train reduced basis solver to address the computational challenges of parameterized partial differential equations on Cartesian grids. The method enhances the efficiency of solving high-dimensional problems by using tensor rank-reduction techniques, which significantly reduce computational costs while maintaining the solution’s accuracy. This work is instrumental for applications where large-scale simulations of complex systems are required.

  • Model Order Reduction with Novel Discrete Empirical Interpolation Methods in Space–Time
    Journal of Computational and Applied Mathematics, 2024
    DOI: 10.1016/j.cam.2024.115767

    • This paper presents an innovative hyper-reduction strategy for parameterized partial differential equations, focusing on space-time methods. Nicholas Mueller and Santiago Badia propose a discrete empirical interpolation method that efficiently approximates space- and time-dependent operators, enabling faster simulations of complex physical systems. The paper highlights the effectiveness of the method in reducing the computational burden while improving accuracy.

  • Space-Time Reduced Basis Methods for Parametrized Unsteady Stokes Equations
    SIAM Journal on Scientific Computing, 2024
    DOI: 10.1137/22M1509114

    • This work presents a comprehensive analysis of space-time reduced basis methods for the efficient simulation of unsteady Stokes equations, particularly applied to hæmodynamic problems. In collaboration with Riccardo Tenderini and Simone Deparis, Nicholas Mueller contributes significantly to the development of these methods, demonstrating their utility in reducing the complexity of time-dependent simulations without compromising accuracy.

Xiang Li, Environmental Science, Best Researcher Award

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Prof. Dr. Xiang Li: Professor at Fudan University at China

Prof. Dr. Xiang Li is a distinguished environmental chemist and full professor at the Department of Environmental Science and Engineering, Fudan University. He leads a multidisciplinary research team focused on integrating analytical chemistry, environmental health, and medical diagnostics. His pioneering work in developing non-invasive breath biopsy technologies has made significant contributions to early disease detection, particularly cancers such as colorectal, gastric, and brain. With over 100 high-impact publications and more than 15 million CNY in research funding, Prof. Li is recognized nationally and internationally for his innovation and leadership in atmospheric chemistry and environmental health.

Research Profile

  • Scopus Profile
  • Research Citations:
    • 2,653 citations across 2,332 documents

    Research Outputs:

    • 102 Documents published

    h-index:

    • 33 (h-index measures productivity and citation impact of the author’s publications)

Education

Prof. Li earned his Ph.D. in Environmental Science and Engineering from Fudan University. He further expanded his expertise during a postdoctoral fellowship at the University of Waterloo, Canada, where he worked under Prof. Janusz Pawliszyn, a world authority on solid-phase microextraction (SPME). His training combined advanced analytical chemistry with applied environmental research, laying the foundation for his later innovations in breathomics and pollutant monitoring.

Research Focus

Prof. Li’s research lies at the intersection of atmospheric chemistry, environmental exposure science, and clinical diagnostics. His main focus is on the analysis of exhaled volatile organic compounds (VOCs) to identify disease-specific biomarkers. Using self-developed high-precision VOC detection platforms and standardized breath sampling protocols, he integrates multi-omics and artificial intelligence algorithms to develop disease risk models and personalized breath profiles. Additionally, his work addresses key environmental issues such as air organic pollution, oxidative potential of PM2.5, and the environmental fate of emerging pollutants and carbon cycles under extreme climate conditions.

Experience

Prof. Li has been a faculty member at Fudan University since 2006, rising through the ranks from Assistant to Full Professor. Between 2008–2009, he completed a postdoc at the University of Waterloo in Canada and served as a visiting scholar at TROPOS, Germany, from 2014–2015. His research team collaborates extensively with both academic institutions and industry, particularly Agilent Technologies, to develop new environmental sampling and detection technologies. His teaching spans analytical chemistry, environmental toxicology, and air pollution science.

Research Timeline

From 2006 to 2011, Prof. Li established his research foundation as an Assistant Professor, focusing on aerosol chemistry and VOC sampling. From 2011 to 2016, as an Associate Professor, he expanded his research into health impacts of pollution and built international collaborations, including a key project with TROPOS. Since 2016, he has led major national and international projects on breathomics, exhaled biomarkers, and oxidative potential of particles, supported by multiple NSFC grants. He continues to advance the frontiers of environmental diagnostics and early disease detection technologies.

Awards & Honors

Prof. Li has received multiple grants from the National Natural Science Foundation of China (NSFC), including key Sino-German collaboration funding. He has also won research innovation awards from Agilent Technologies under their Applications and Core Technology University Research (ACT-UR) program. He serves as a reviewer for Environmental Science & Technology, Atmospheric Environment, Science of the Total Environment, and other leading journals. His scientific contributions have earned him recognition in the environmental and medical research communities, including invitations to speak at international conferences and workshops.

Top-Noted Publication

Zhang, Z. et al., PNAS Nexus, 2022 – This landmark study, led by Prof. Li, investigated the unexpected rise in surface ozone levels in China following reductions in nitrogen oxides (NOx). Using advanced atmospheric modeling and field data, the research attributed the increase to accelerated VOC oxidation, providing new insight into the complex chemistry of ozone formation. The findings have profound implications for air quality management policies in rapidly industrializing regions and have been widely cited in environmental policy discussions and academic research.

1. The interplay of Brown carbon (BrC) surrogates and copper: Implications for the oxidative potential of ambient particles

  • Authors: D. Wu, Haonan Wu, Yan Lyu, Xiang Li, Xiaobing Pang

  • Journal: Journal of Hazardous Materials

  • Year: 2024

  • Citations: 1

2. Nitrate pollution deterioration in winter driven by surface ozone increase

  • Authors: Zekun Zhang, Bingqing Lu, Chao Liu, Jianmin Chen, Xiang Li

  • Journal: Npj Climate and Atmospheric Science

  • Year: 2024

  • Citations: 8

3. Advancing Breathomics through Accurate Discrimination of Endogenous from Exogenous Volatiles in Breath

  • Authors: Zhengnan Cen, Yuerun Huang, Shangzhewen Li, Wenshan Wang, Xiang Li

  • Journal: Environmental Science and Technology

  • Year: 2024

  • Citations: 2

4. High-level HONO exacerbates double high pollution of O3 and PM2.5 in China

  • Authors: Chao Liu, Bingqing Lu, Qian Wang, Hartmut Herrmann, Xiang Li

  • Journal: Science of the Total Environment

  • Year: 2024

  • Citations: 2

5. Comparative study of atmospheric brown carbon at Shanghai and the East China Sea: Molecular characterization and optical properties

  • Authors: Dongmei Cai, Chunlin Li, Jingxin Lin, Xiang Li, Jianmin Chen

  • Journal: Science of the Total Environment

  • Year: 2024

  • Citations: 7

Martina Baldin, Veterinary Science, Best Researcher Award

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Doctorate Martina Baldin: PhD student at University of Padua, Italy

Martina Baldin, DVM, is a passionate veterinary professional and PhD candidate at the University of Padua specializing in veterinary clinical pathology and internal medicine. Her professional journey combines intensive clinical practice with translational research aimed at improving diagnostic approaches in both companion animals and livestock. With a strong scientific background, international congress participation, and awards for academic excellence, she brings a unique balance of laboratory expertise and clinical insight to her research and professional collaborations.

Research Profile

ORCID Profile

Martina is reachable via her institutional and personal emails: martina.baldin.2@phd.unipd.it and martina.baldin@outlook.com. Based in Legnaro (PD), Italy, she is currently affiliated with the University of Padua. While her primary networking has been through academic circles, she is in the process of expanding her digital presence on platforms like LinkedIn and ResearchGate to facilitate broader scientific engagement and collaborations in veterinary science and clinical pathology.

Education

Martina obtained her Doctor of Veterinary Medicine (DVM) degree from the University of Padua in September 2021, graduating with full honors (110/110 cum laude). Her thesis focused on the development and validation of an acute phase protein index in dogs with neoplastic diseases, reflecting her early commitment to clinical pathology and evidence-based diagnostics. She passed the Italian national veterinary qualification exam in November 2021 and is currently pursuing a PhD in Veterinary Science and Food Safety, further deepening her focus on immune mechanisms and disease biomarkers in large animals.

Research Focus

Her research is primarily centered on the innate and adaptive immune response in cattle, particularly in the context of infectious and metabolic diseases. Martina’s work involves advanced clinical pathology techniques including hematology, biochemical profiling, hormonal and coagulation studies, and cytology. She aims to explore diagnostic biomarkers and pathophysiological patterns that can enhance disease monitoring and treatment outcomes in both clinical and herd health settings. Her translational research approach bridges benchwork with practical veterinary applications, supporting both animal welfare and food safety.

Experience

Martina has accumulated diverse and progressively responsible experience in veterinary clinical and research settings. She has worked as a clinical collaborator and research grant holder at the Veterinary Teaching Hospital of the University of Bologna, where she was involved in internal medicine (especially nephrology and hematology), laboratory diagnostics, emergency care, and clinical rounds. In private practice, she handled general and emergency medicine cases, including anesthesia and basic surgery. Her current doctoral role at the University of Padua allows her to combine clinical pathology research with hands-on lab work, under the guidance of leading veterinary pathologists.

Research Timeline

Martina’s research timeline reflects steady academic and clinical growth. From November 2024, she began her PhD in veterinary clinical pathology at the University of Padua. Prior to this, she collaborated from February to October 2024 at the University of Bologna in both clinical and research capacities. From February 2023 to January 2024, she held a research grant in the same institution. In 2022, she split her time between private veterinary practice in Thiene and an internship at the University of Padua’s Teaching Hospital, focusing on emergency and critical care. This timeline illustrates a consistent focus on diagnostics, internal medicine, and applied clinical research.

Awards & Honors

Martina has been recognized for her academic and research achievements throughout her career. In 2024, she was awarded Best Oral Presentation at the European Society of Veterinary Clinical Pathology (ESVCP) Congress in Budapest for her presentation on the validation of a veterinary hematology analyzer. In 2019, she was one of the recipients of the “Mille e una lode” scholarship, awarded to the top 1000 students at the University of Padua. She also received the MSD Animal Health and Federation of Veterinarians of Europe scholarship, a competitive European award recognizing promising veterinary students.

Top-Noted Publication

Among Martina’s growing list of scientific contributions, her most recognized work is the oral presentation titled “Validation of Mindray BC75R-Vet hematology analyzer and comparison with Siemens ADVIA 2120i: preliminary results for canine specimens”, presented at the ESVCP Congress 2024 in Budapest. This study showcased her proficiency in clinical hematology and analytical validation, contributing to the optimization of veterinary diagnostic protocols. The presentation earned her the Best Research Oral Presentation award and marked a significant milestone in her academic and research career.

Martina Baldin is first author of the peer-reviewed article titled “Beyond Individual Acute Phase Protein Assessments: Introducing the Acute Phase Index (API) as a Prognostic Indicator in Dogs with Malignant Neoplasia”, published in Veterinary Sciences on June 1, 2025. This study presents the development and application of the Acute Phase Index (API), a novel prognostic biomarker tool that integrates acute phase protein profiles for better assessment of disease severity and prognosis in canine oncology. The article is accessible via DOI: 10.3390/vetsci12060533 and was co-authored by a multidisciplinary team of veterinary clinicians and pathologists.

Ruby Saha, Physics, Best Researcher Award

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Doctorate Ruby Saha: Researcher at IIT Madras, India

Dr. Ruby Saha is a dedicated Ph.D. candidate at the Department of Physics, Indian Institute of Technology (IIT) Madras, with a focus on understanding the El Niño Southern Oscillation (ENSO) through the lens of complex network theory. Her research delves into the study of global climate phenomena and their interconnections using advanced statistical physics techniques. By modeling climate systems as complex networks, she investigates how phenomena like ENSO manifest in network topologies and how these structures can be utilized to predict the strength and duration of future climate events. Her work is an interdisciplinary intersection of climatology, physics, and data science, contributing to more accurate climate forecasting and understanding of long-range climate dynamics. Ruby is passionate about environmental sustainability and advancing our knowledge of how global weather systems interact and evolve over time.

Online Profiles

Education

  • Ph.D. in Physics (January 2016 – March 2024)
    Indian Institute of Technology (IIT) Madras, Chennai, India
    Ruby’s doctoral research focuses on studying the El Niño Southern Oscillation (ENSO) using complex network analysis. By constructing climate networks based on temperature reanalysis data, she investigates the spatial and temporal correlations within the network, aiming to improve predictions of ENSO events. Her work is crucial for understanding the dynamics of global climate systems and refining long-term climate models.

  • M.Tech. in Earth Science (2013 – 2015)
    Indian Institute of Science (IISc), Bangalore, India
    Her M.Tech. thesis centered on first-principles methods in geochemistry, exploring advanced computational techniques to model the properties of materials at the atomic level. This work laid a solid foundation in applying theoretical models to real-world scientific problems, which later influenced her research in climate science.

  • M.Sc. in Physics (2009 – 2011)
    Indian Institute of Technology (IIT) Kharagpur, India
    Ruby’s master’s research involved Many-Body Perturbation Theory, focusing on the hyperfine structures of alkali atoms. This fundamental work deepened her understanding of quantum mechanics and the interactions between particles, which later enriched her approach to studying large-scale systems like climate networks.

  • B.Sc. (Honors) in Physics (2006 – 2009)
    University of North Bengal, Darjeeling, India
    Ruby earned her undergraduate degree with honors in Physics, furthering her interest in mathematical methods and their applications in physical sciences. Her studies also included a minor in Mathematics and Chemistry, broadening her academic perspective and equipping her with diverse scientific knowledge.

Research Focus

Ruby’s research investigates the behavior of climate phenomena, especially the El Niño Southern Oscillation (ENSO), by applying complex network theory to large-scale climate data. She constructs networks from temperature reanalysis data, where geographical sites act as nodes, and their correlations form the links. Through this approach, she uncovers patterns of teleconnections that reveal underlying dynamics of ENSO and other climatic phenomena. By studying network topology, such as small-world characteristics, she has been able to forecast the onset and intensity of ENSO events with greater precision. Her work aims to create a better understanding of how climate systems are interconnected and to predict future weather patterns with improved accuracy, which has profound implications for environmental management and disaster preparedness.

Experience

Ruby has been involved in both teaching and research throughout her academic career. As a course instructor, she has taught and mentored students in various laboratory courses at IIT Madras, including PH5210, PH1030, and PH5060, fostering their understanding of advanced physics concepts and experimental methods. Additionally, she has participated in multiple international conferences, such as the AGU Fall Meeting and EGU, where she presented her research findings and engaged with the global scientific community. Her role as a mentor for the AGU Mentoring365 program (2022-2023) further reflects her commitment to nurturing young scientists. She also attended specialized workshops like the ICTP Workshop on Climate Data and Seasonal Forecast Analysis Techniques, expanding her expertise in climate data analysis and predictive modeling.

Research Timeline

  • 2016 – 2024: Ph.D. in Physics, IIT Madras
    Ruby’s doctoral research focuses on the complex network analysis of ENSO and other climate events, with an emphasis on predicting climate behavior based on network topologies.

  • 2014 – 2015: M.Tech. in Earth Science, IISc Bangalore
    Conducted research in geochemistry, focusing on first-principles methods to model material properties at the atomic scale.

  • 2010 – 2011: M.Sc. in Physics, IIT Kharagpur
    Worked on Many-Body Perturbation Theory, specifically examining the hyperfine structures of alkali atoms and gaining a deeper understanding of quantum systems.

  • 2006 – 2009: B.Sc. (Honors) in Physics, University of North Bengal
    Developed a strong foundation in Physics, Mathematics, and Chemistry, which laid the groundwork for Ruby’s interdisciplinary approach to complex scientific problems.

Awards & Honors

  • Dynamical Days 2023: Financial Support for conference participation

  • Women Leading IIT M Grants (2021-22): Recognition for outstanding research contributions

  • AGU Students Virtual Travel Grant (2020): Awarded for the AGU Fall Meeting presentation

  • GATE SRF (Ph.D. Fellowship) in Physical Sciences (2018): For exceptional performance in graduate studies

  • CSIR-UGC NET JRF (Ph.D. Fellowship) in Physical Sciences (2010): National-level fellowship for research excellence

  • MCM Award (2011): Recognized by IIT Kharagpur for academic excellence

  • JAM Physics Fellowship (2009): Fellowship for outstanding performance in the Joint Admission Test for M.Sc. in IITs

Top-Noted Publications

Journal Articles

  1. Saha, R., Ghosh, D. (2025). Analysis of pre-El Niño and La Niña events using climate network approach. Chaos, Solitons & Fractals, 191, 115781.

  2. Saha, R., Gupte, N. (2023). Signatures of climatic phenomena in climate networks: El Niño and La Niña. Physical Review E, 107(6), 064306.

  3. Sonone, R., Saha, R., Gupte, N. (2020). Signatures of climatic phenomena in climate networks: Cyclones, El Niño and La Niña. Indian Academy of Sciences Conference Series, 3(3).

Conference Presentations and Abstracts

Saha, R. (2023). Prognosis of ENSO episodes: A complex climate network approach. Dynamics Days Europe 2023.

Saha, R. (2022). The role of teleconnections in complex climate network. EGU General Assembly Conference Abstracts, EGU22-91.

Saha, R., Gupte, N. (2021). Signatures and predictors of the El Niño and La Niña phenomena in climate networks. AGU Fall Meeting Abstracts, NG52A-05.

Saha, R., Gupte, N. (2020). Signatures of Climatic Phenomena in Climate Networks: El Niño and La Niña events. AGU Fall Meeting Abstracts, OS015-0015.

Asep Darmansyah, Finance, Best Researcher Award

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Doctorate Asep Darmansyah: Lecturer at Institut Teknologi Bandung, Indonesia

Dr. Ir. Asep Darmansyah, M.Si., is an Associate Professor at the School of Business and Management (SBM), Institut Teknologi Bandung (ITB), Indonesia. With an extensive academic and professional background, he specializes in accounting, financial management, and business strategy. His research interests are primarily centered around the roles of cost accounting, financial statement analysis, financial performance, and capital budgeting in promoting the sustainability and growth of businesses in developing economies. With a career spanning over two decades, Dr. Darmansyah is committed to enhancing financial literacy, promoting responsible financial management practices, and contributing to the development of businesses, especially in emerging markets like Indonesia. His work bridges the gap between theory and practice, offering real-world solutions to complex financial challenges.

Online Profiles

  • Scopus Author ID: 56287823900 – Dr. Darmansyah’s Scopus profile offers access to his publication history, citations, and academic contributions.

  • ORCID: 0000-0003-3938-4091 – His ORCID ID ensures proper attribution of his academic work and provides a centralized hub for his professional identity across various research platforms.

  • Google Scholar: Asep Darmansyah Google Scholar – This profile showcases his extensive list of publications, citations, and scholarly impact in the field of business and management.

  • He has gained significant recognition for his scholarly contributions, reflected in his citation metrics—275 citations and an h-index of 8, which underscore the impact of his research in the academic community.

Education

Dr. Darmansyah holds a Bachelor’s degree in Agribusiness from Institut Pertanian Bogor (IPB), completed in 1987. He pursued his advanced studies at the University of Padjadjaran (UNPAD), where he earned both his Master’s degree (2000) and Doctoral degree (2018) in Accounting. His academic journey has given him a unique combination of expertise in both business administration and finance, allowing him to approach issues of financial performance, cost management, and business sustainability from a multidisciplinary perspective. This foundation has contributed significantly to his in-depth understanding of the challenges and opportunities businesses face in developing countries.

Research Focus

Dr. Darmansyah’s research primarily revolves around the intersection of financial management practices and business sustainability, with a particular emphasis on the role of cost accounting, financial statement analysis, and capital budgeting. His work explores how businesses can enhance financial performance while also ensuring long-term sustainability in the face of economic challenges. One of his key areas of focus is the role of Environmental, Social, and Governance (ESG) factors and how they influence financial decision-making. Furthermore, his research delves into the importance of financial literacy, especially in the context of Micro, Small, and Medium Enterprises (MSMEs), and how this impacts their profitability and overall growth.

Experience

Dr. Darmansyah has accumulated over 20 years of experience in academia, both as an educator and researcher. He has held various leadership roles within the School of Business and Management at ITB, where he contributes to shaping the academic and research direction of the institution. Over the years, Dr. Darmansyah has successfully secured research funding from various institutions, including ITB’s internal research funding program (DIPA ITB), enabling him to lead and collaborate on numerous high-impact projects. His professional involvement extends beyond teaching, as he regularly serves as a reviewer for several prestigious international journals and conferences in the fields of accounting, business strategy, and financial management. His work continues to influence both academic circles and the practical field of financial management.

Research Timeline

Dr. Darmansyah’s research has been prolific in recent years, focusing on critical financial management topics that address the needs of businesses in Indonesia and other emerging economies. Some of his notable research projects include:

  • 2025: Exploring sophisticated capital budgeting decisions and their impact on financial performance and risk management.

  • 2024: Investigating the role of ESG factors in moderating the relationship between financial performance and Maqashid Syariah (Islamic goals of business).

  • 2023: Analyzing the influence of financial literacy and innovation on the performance of MSMEs.

  • 2022: Assessing the effects of macroeconomic factors and the COVID-19 pandemic on the profitability of consumer goods industries.

  • 2021: Conducting studies on household finances, the COVID-19 pandemic, and well-being in emerging countries, as well as exploring the impact of business strategy on company profitability.
    His ongoing research continues to explore how financial strategies can help businesses navigate challenges in a constantly evolving global market.

Awards & Honors

Dr. Darmansyah has received recognition for his work both in academic research and professional practice. He is a Certified Wealth Manager (CWM), showcasing his expertise in financial management. In addition, Dr. Darmansyah is an active member of several prominent professional associations, including the Indonesian Financial Management Association (IFMA) and the Indonesian Institute of Accountants (IAI). His contributions to research, teaching, and the development of business management practices have earned him numerous accolades and respect within the academic community.

Top-Noted Publications

Dr. Darmansyah has published extensively in leading academic journals, with some of his top publications in recent years:

  • 2025: “Sophisticated Capital Budgeting Decisions for Financial Performance and Risk Management – A Tale of Two Business Entities,” Journal of Risk and Financial Management (JRFM), Vol. 18.

  • 2024: “Techno-Economic Feasibility of Geothermal Power Plant in Indonesia Using RETScreen Considering Carbon Credit Mechanism to Achieve Indonesia’s NDC 2060,” Heliyon (Accepted).

  • 2023: “The Implications of Financial Literacy Rate on the Company Profitability of MSMEs in Bandung,” International Journal of Economic Policy in Emerging Economies, Vol. 18, Nos. 3/4.

  • 2023: “Financing of the Agricultural Business by Sharia Bank to Increase the Exchange Rate of Farmers in West Java Province,” International Journal of Current Science Research and Review.

  • 2022: “Financial Performance Analysis and Recommendations of PT Blue Bird Tbk,” International Journal of Business and Economy.

These publications have made significant contributions to the fields of financial management, accounting, and business strategy, particularly in the context of emerging markets.