Montsheng Letsoalo | Psychology | Editorial Board Member

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Dr. Montsheng Letsoalo | Psychology | Editorial Board Member

Trauma Neuro Institute of South Africa | South Africa

Dr. Montsheng Letsoalo is a distinguished social neuroscientist, educator, researcher, and advocate with expertise in trauma, mental wellness, and cognitive-behavioral sciences. She holds a PhD and is currently pursuing a second doctorate, reflecting her dedication to advancing knowledge in neuroscience and psychology. As the founder of the Resonance Retention Theory and the Mo-Lets Method, she has developed pioneering frameworks for trauma retention and healing, while her recently published Neurodivergent Attachment Theory redefines attachment dynamics through the lens of neurodiversity. Dr. Letsoalo’s research on “Healing Trauma Through Lifestyle Medicine Using a Neuroscientific Approach” was selected for presentation at ACLM25, underscoring her leadership in integrative trauma recovery. She has delivered lectures and keynote addresses globally, including at WCASET and the International Wellness Summit in Kuala Lumpur, and actively contributes to initiatives addressing gender-based violence (GBV), mental health advocacy, and community empowerment. Alongside her academic and advocacy work, she serves as a freelance AI trainer at Mindrif AI, applying her expertise to ethical and culturally relevant mental health technologies, and as a peer reviewer for Medtigo Medical Network, ensuring scientific rigor in interdisciplinary research. She has also taught internationally, including at Kasetsart University in Thailand and Education First in Indonesia, while leading GBV-focused programs as CEO of Stop Gender Based Violence NPC in South Africa. A prolific course developer, program facilitator, and public health advocate, she integrates neuroscience with education, wellness, and social justice to design evidence-based interventions that foster resilience and healing. Widely recognized for her leadership, global collaborations, and innovative thinking, Dr. Letsoalo continues to bridge the gap between trauma recovery, neuroscience, technology, and advocacy, empowering individuals, communities, and institutions with transformative tools for growth and well-being.

Profile: Google Scholar

Featured Publications

  • Letsoalo, M. (2025). Neurodivergent attachment theory. SSRN, 5264844.

  • Letsoalo, M. (2025). The Neurodivergent Romantic Trajectories Model™ (NRTM): Rethinking love beyond neurotypical norms. SSRN, 5382591.

Dr. Anup Debnath | Experimental Physics | Editorial Board Member

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Dr. Anup Debnath | Experimental Physics | Editorial Board Member

Pachhunga University College | India

Dr. Anup Debnath is a materials physicist specializing in two-dimensional materials, magnetic nanostructures, transition-metal dichalcogenides, and MXene-based functional systems. His research focuses on understanding growth mechanisms, interfacial charge-transfer phenomena, and structure–property–performance relationships in emerging 2D architectures for electronic, magnetic, and energy-storage applications. He has developed strong expertise in advanced synthesis routes including hydrothermal, solvothermal, reflux, thermolysis, and chemical vapour deposition techniques for preparing high-quality TMDs, non-van der Waals magnets, and MXene derivatives. His experimental strengths extend across a broad spectrum of characterization tools such as XRD, Raman spectroscopy, XPS, TEM, AFM, SQUID magnetometry, PPMS measurements, UV-Vis spectroscopy, and FTIR, complemented by theoretical skills in Rietveld refinement and DFT-based calculations using MAUD and CASTEP. Dr. Debnath’s research contributions include revealing ferromagnetic and ferrimagnetic ordering in chemically synthesized 2D systems, designing MXene-integrated heterostructures, developing high-performance electrocatalysts, and engineering nanomaterials for hydrogen evolution, photothermal conversion, and supercapacitor applications. His publications in leading journals cover diverse topics ranging from magnetic coupling in low-dimensional systems to coercivity enhancement, phase engineering of TMDs, photothermal nanorods, hybrid perovskites, and advanced MXene composites. He has also contributed to conference proceedings and presented widely at national and international scientific platforms, earning recognition for excellence in both poster and oral presentations. His scholarly footprint continues to grow, currently reflected by 228 citations across 205 documents, 19 publications, and an h-index of 7, underscoring his expanding impact in the fields of experimental condensed matter physics and nanomaterials research.

Featured Publications

(2025). Vertically tilted SnS₂ grown on highly conductive Ti₃C₂Tₓ for electrochemical energy storage applications. Journal of Energy Storage.

 

Kanupriya Rawat | Health Psychology | Research Excellence Award

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Ms. Kanupriya Rawat | Health Psychology | Research Excellence Award

Kazimierz Wielki University | Poland

Ms. Kanupriya Rawat is a psychology researcher specializing in sports psychology, eSports psychology, clinical psychology, and cross-cultural mental health, with additional expertise in data science and quantitative analysis. With a growing research footprint reflected by 2 citations from 2 documents and an h-index of 1, she is steadily contributing to the academic dialogue in applied psychology. Her work bridges psychological theory with empirical inquiry into athletic performance, anxiety, motivation, communication, and youth mental health. She has contributed to both academic and applied environments through research, teaching, counseling, and interdisciplinary collaborations that integrate psychological assessment with data-driven methodologies. Her studies explore body image, sports anxiety, achievement goal orientation, and the psychometric evaluation of psychological scales, resulting in publications in journals such as the Journal of Clinical Medicine, International Journal of Environmental Research and Public Health, Health Psychology Report, and Polskie Forum Psychologiczne. She has also advanced cross-cultural psychology by examining psychological variables among athletes from diverse backgrounds. Beyond journal articles, she has co-authored books on martial arts pedagogy and sports culture, demonstrating her engagement with both scientific and athletic communities. Her experience spans instructional roles, research projects, school counseling, and participation in data-intensive initiatives involving survey analytics, predictive modeling, and quantitative interpretation. Recognized through academic awards, conference achievements, and international training programs, she brings a global perspective to mental health and performance psychology. Equipped with strong counseling, communication, teamwork, and data management skills, she adopts a holistic and evidence-based approach to psychological research, emphasizing well-being, high-performance behavior, and the advancement of culturally informed psychological practices.

Featured Publications

(2025). Cross-cultural comparison of sports anxiety among Indian and Polish sports players in a post-COVID world: A pilot study. Health Psychology Report.

 

Yinfeng Yang | Artificial Intelligence |Young Scientist Award

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Assoc. Prof. Dr. Yinfeng Yang | Artificial Intelligence | Young Scientist Award

Anhui University of Chinese Medicine | China

Assoc. Prof. Dr. Yinfeng Yang is an Associate Professor and emerging research leader at the intersection of artificial intelligence and traditional Chinese medicine, with a strong focus on biomedical big data analytics and AI-driven drug discovery. With a publication record of 45 documents and a citation impact exceeding 5,738 citations from 5,599 citing documents, alongside an h-index of 18, her research demonstrates significant international influence. Her work integrates bioinformatics, machine learning, molecular simulation, and systems biology to uncover key biomarkers, elucidate disease mechanisms, and accelerate the development of innovative therapeutic strategies. She has made notable contributions to multi-omics data mining, virtual screening, quantitative structure–activity relationship modeling, and mechanistic analysis of natural products and traditional prescriptions, particularly in oncology, immunology, cardiovascular disorders, and neurological diseases. Her research advances include AI-powered ADMET prediction, graph neural network–based drug-target discovery, and multiscale modeling of herbal medicine mechanisms. She has authored more than sixty publications, including first- and corresponding-author papers in high-impact journals such as Journal of Advanced Research, Phytomedicine, Drug Discovery Today, International Journal of Surgery, and ACS Omega, contributing influential and highly cited work. In addition to her scientific output, she has edited scholarly works, holds an authorized patent, and has received provincial recognition for scientific achievements. She also serves on editorial boards and contributes extensively as a reviewer for numerous international journals across pharmacology, bioinformatics, natural product research, and integrative medicine. Her expertise spans molecular dynamics, docking, high-throughput virtual screening, AI algorithms, multi-omics integration, and experimental pharmacology, positioning her at the forefront of intelligent medicine and translational research in traditional Chinese medicine.

Featured Publications

  • Fan, N. N., Chen, J., Wang, J. H., Chen, Z. S., & Yang, Y. F. (2025). Bridging data and drug development: Machine learning approaches for next-generation ADMET prediction. Drug Discovery Today, Article 104487.

  • Han, Z. J., Liu, Q. W., Yang, J. H., Wang, X. Y., Song, W. C., Wang, J. H., & Yang, Y. F. (2025). Exploration of the mechanism of Ginkgo biloba leaves targeted angiogenesis against gastric cancer. ACS Omega, 10, 40460–40476.

  • Yang, P. Z., Wang, X. Y., Yang, J. H., Yan, B. B., Sheng, H. Y., Li, Y., Yang, Y. F., & Wang, J. H. (2025). AI-driven multiscale study on the mechanism of Polygonati Rhizoma in regulating immune function in STAD. ACS Omega, 10(19), 19770–19796.

  • Li, H., Fu, S. F., Shen, P., Zhang, X., Yang, Y. F., & Guo, J. C. (2025). Mitochondrial pathways in rheumatoid arthritis: Therapeutic roles of traditional Chinese medicine and natural products. Phytomedicine, Article 157106.

  • Zhang, H. R., Xu, Q., Kan, H. X., Yang, Y. F., & Cai, Y. Q. (2025). Exploration of the clinicopathological and prognostic significance of BRCA1 in gastric cancer. Discover Oncology, 16(1), 381.

 

Xingyu Chen | Cancer Biology | Young Scientist Award

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Dr. Xingyu Chen | Cancer Biology | Young Scientist Award

Research Bioinformatician | Cedars-Sinai Medical Center | United States

Dr. Xingyu Chen is a research bioinformatician and computational oncologist specializing in sex chromosome genomics, cancer immunology, and precision medicine. His work has revealed the Loss of the Y Chromosome (LOY) as a causal driver of cancer immune evasion in men, demonstrating its role in tumor progression, immune dysfunction, and therapy resistance. He pioneered the development of the world’s first Sex Chromosome-Aware Genomic Large Language Model, integrating AI with genomic data to enhance cancer diagnostics and guide precision therapies. His research combines multi-omics analysis, single-cell and spatial transcriptomics, and deep-learning models to uncover mechanisms of tumor evolution, T-cell exhaustion, and sex-specific cancer vulnerabilities. Chen has contributed to high-impact publications in journals such as Nature, Oncogene, and International Journal of Molecular Sciences, with 800 citations, an h-index of 15, and multiple first/co-first author contributions, reflecting his influence in the field. His work extends to translational applications, including LOY-informed cellular therapies and radiogenomic predictive algorithms for bladder cancer, leading to patentable innovations. He has also mentored trainees, co-supervised projects, and collaborated with international institutions to advance integrative cancer genomics and AI-driven therapeutics. Overall, his research advances the understanding of male-biased cancer mechanisms and supports the development of innovative diagnostic and therapeutic strategies, bridging fundamental biology, computational modeling, and clinical applications to improve outcomes for men with cancer.

Featured Publications

Abdel-Hafiz, H. A., Schafer, J. M., Chen, X., Xiao, T., Gauntner, T. D., Li, Z., … et al. (2023). Y chromosome loss in cancer drives growth by evasion of adaptive immunity. Nature, 619(7970), 624–631.

Jin, Y., Wang, Z., He, D., Zhu, Y., Chen, X., & Cao, K. (2021). Identification of novel subtypes based on ssGSEA in immune‐related prognostic signature for tongue squamous cell carcinoma. Cancer Medicine, 10(23), 8693–8707.

Kaoutar Bouothmany | Biochemistry | Young Scientist Award

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Dr. Kaoutar Bouothmany | Biochemistry | Young Scientist Award

University Hassan II of Casablanca  | Morocco

Dr. Kaoutar Bouothmany is a biochemist and microbiologist specializing in the discovery and valorization of bioactive compounds from medicinal plants and co-products for therapeutic and nutraceutical applications. Her research focuses on the chemical characterization, antioxidant potential, and biological activities of plant-derived phenolic compounds, targeting oxidative stress-related diseases, including cancer, viral infections, hepatic disorders, and microbiome dysbiosis induced by bacterial resistance. She combines in vitro, in vivo, and in silico methodologies, including cell culture, molecular biology, phytochemical analysis, and molecular docking, to investigate cytotoxic, antiviral, antimicrobial, anti-inflammatory, and hepatoprotective effects of natural products. Her work emphasizes the development of innovative green extraction techniques and optimized experimental protocols to maximize the therapeutic potential of plant bio-residues. She has contributed to numerous peer-reviewed publications, with 76 citations from 75 documents and an h-index of 4, reflecting her expertise in experimental design, data analysis, and statistical interpretation. Additionally, she has been involved in mentoring students, supervising laboratory work, and supporting practical courses, fostering scientific learning and research skill development. Her contributions advance the understanding of plant-based bioactives as alternative strategies for disease prevention and treatment, bridging fundamental biochemical research with translational applications in biotechnology, microbiology, and natural product pharmacology.

Featured Publication

(2025). Uncovering antiviral potential of Cistus ladanifer extracts against Herpes Simplex Virus 1 and Severe Acute Respiratory Syndrome Coronavirus 2 by in vitro and in silico analysis. Chemistry and Biodiversity.

Ayesha Ahmed | Cancer Biology | Research Excellence Award

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Ms. Ayesha Ahmed | Cancer Biology | Research Excellence Award

Roosevelt University | United States

Ms. Ayesha Ahmed is an emerging pharmacist and pharmaceutical sciences researcher with a strong interdisciplinary foundation spanning clinical practice, pharmaceutical manufacturing, research coordination, and academic support. Her academic and professional journey reflects a commitment to advancing global healthcare through evidence-based practice, scientific inquiry, and collaborative learning. She has contributed to research projects that integrate stakeholder engagement, strategic planning, and analytical evaluation, enabling the development of targeted research approaches within the pharmaceutical and healthcare sectors. Her scientific interests encompass drug formulation, regulatory science, clinical pharmacy, and translational research aimed at improving therapeutic outcomes. She has co-authored publications exploring corrosion-resistant polymer modifications for industrial applications, barriers and enablers influencing community pharmacists’ participation in deprescribing initiatives, and molecular insights into CRP interactomes related to cellular signaling and tumorigenicity. These works demonstrate her ability to engage with both laboratory-based and clinical-conceptual research, bridging basic science with healthcare practice. She possesses strong communication and instructional skills refined through academic tutoring roles, where she supported learners in developing scientific writing, analytical reasoning, and pharmacy-related competencies. Her international training exposure has strengthened her understanding of pharmaceutical manufacturing processes, regulatory frameworks, and quality-assurance practices within diverse healthcare systems. Motivated by a passion for patient-centered care, interdisciplinary research, and global health development, she continues to expand her expertise through advanced study in pharmaceutical sciences. She aims to contribute to innovations in drug development, clinical decision-making, and pharmacy practice through research that supports safety, effectiveness, and equitable access to healthcare.

Featured Publication

Gerhardt, A., Nanakaliy, D., Shah, H. D., Sarfaraz, S., Madigan, C., Downing, M., Elliott, R. P., Dipto, R., Vrapciu, B., Noetzel, J. W., et al. (2025). Evaluating the CRP interactome: Insights into possible novel roles in cellular signaling and tumorigenicity. Current Issues in Molecular Biology, 47(12), Article 1003.

Elshazly, M., Wilkinson, J., Jawad, S., Ahmed, A., ElGeed, H., & Yusuff, K. B. (2025). Enablers and barriers to community pharmacists’ readiness to implement deprescribing of inappropriate medications for older adults in Qatar. PLOS ONE, 20(1), Article e0316363.

Neylan Kaya | Management | Young Scientist Award

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Assist. Prof. Dr. Neylan Kaya | Management | Young Scientist Award

Akdeniz University | Turkey

Assist. Prof. Dr. Neylan Kaya is a scholar in quantitative methods and management sciences, specializing in efficiency analysis, meta-regression, multi-criteria decision-making (MCDM) techniques, and data-driven performance evaluation across finance, insurance, banking, and public-sector institutions. Her research advances methodological and applied work in stochastic frontier analysis, data envelopment analysis, grey relational analysis, VIKOR, TOPSIS, PROMETHEE, and clustering approaches for assessing organizational efficiency, financial performance, sustainability indicators, and corporate governance practices. She has conducted extensive studies on insurance companies, banks, public hospitals, and manufacturing industries, offering comparative insights through meta-analysis, bibliometric review, and panel data modelling. Her contributions include analyses of non-financial information reporting, corporate social responsibility practices, financial inclusion, and cross-country economic competitiveness, combining robust statistical techniques with managerial perspectives. She has authored numerous peer-reviewed journal articles, book chapters, and conference papers that explore methodological innovations and applied decision-analysis frameworks. Her scholarly output also includes research on sustainability assessment, supply chain decision-making, productivity measurement, and financial system characteristics across global regions. She actively presents her work at national and international conferences in econometrics, management, and quantitative methods, contributing to academic dialogue within multidisciplinary platforms. Her teaching and academic engagement span operations research, managerial decision-making, and applied mathematics, reflecting her strong quantitative foundation and commitment to methodological rigor. With a substantial publication record and expertise across diverse analytical frameworks, she continues to contribute to the advancement of empirical research in efficiency measurement, financial performance assessment, and decision-support methodologies within the social sciences and management fields.

Featured Publication

Kaya, N., Ersoy Bozcuk, A., Tutcu, B., Terzioğlu, M., & Ünal Uyar, G. F. (2025). Evaluating ESG practices from the perspective of transparency and accountability through clustering analysis and MCDM methods. Sustainability, 17(23)

Kaya, N. (2025). Sigorta şirketlerinin stokastik sınır analizi ile etkinliği: Bir meta analiz. Adıyaman Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2025(8)

Samiksha Painuly | Metal Organic | Young Scientist Award

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Ms. Samiksha Painuly | Metal Organic | Young Scientist Award

Research Scholar | Gurukul Kangri Deemed to be University | India

Ms. Samiksha Painuly is a dedicated materials chemistry researcher specializing in the design, synthesis, and functional applications of metal–organic frameworks (MOFs), coordination polymers, and advanced hybrid materials. Her work focuses on developing luminescent MOFs, mesoporous composites, and one-dimensional coordination polymers tailored for sensing, photocatalysis, and environmental monitoring. She has expertise in synthesizing Zn-, Cd-, and Cu-based MOFs using wet-chemical, solvothermal, hydrothermal, and mechanochemical routes, integrating multitopic carboxylate and nitrogen donor linkers to achieve structurally robust and functionally responsive materials. Her research contributions span the development of ratiometric luminescent sensors for inorganic and organic analytes, MOF-based composites for heavy-metal detection, ammonia sensing, photocatalytic degradation, and emerging applications such as LED phosphors and catalytic conversion of acetylenic molecules. Skilled in structural and physicochemical characterization, she routinely employs PXRD, FTIR, SEM, XPS, UV–visible spectroscopy, fluorescence techniques, and NMR analysis to elucidate material properties and structure–activity relationships. She has published research articles and book chapters covering MOF synthesis, membrane design, separation processes, waste management, sustainable development, and IP-related dimensions of emerging materials. Her work reflects both fundamental understanding and applied innovation, contributing to interdisciplinary progress in materials chemistry, environmental remediation, and sensor technologies. She actively engages in scientific collaborations, presents her findings at conferences, and participates in workshops and training programs to expand her technical and conceptual expertise. With a strong foundation in experimental design, analytical reasoning, and creative problem-solving, she is committed to advancing next-generation MOF-based materials and their applications in sustainability, sensing, and functional materials research.

Featured Publication

Samiksha, Rajput, G., Parmar, B., Dadhania, A., Isaeva, V., Kumar, R., & Bisht, K. K. (2025). Synthesis, structure, and photocatalytic properties of a Cu(II) coordination polymer derived from a flexible tripodal linker. SCENV, 11, 100277.

Painuly, S., Rajput, G., Parmar, B., Rachuri, Y., Isaeva, V. I., Kumar, R., & Bisht, K. K. (2025). Zn(II)-based multivariate, multicomponent metal–organic framework as a highly sensitive ratiometric luminescent sensor for Rhodamine-B in edibles. Inorganic Chemistry, 64, 16297–16302.

Varshita Srivastava | Molecular Parasitology | Best Scholar Award

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Ms. Varshita Srivastava | Molecular Parasitology | Best Scholar Award

Senior Research Scholar | Central University of Rajasthan |India

Ms. Varshita Srivastava is a molecular parasitology researcher specializing in antimalarial drug discovery, virtual screening, molecular cloning, biochemical characterization, and Plasmodium falciparum parasite biology. Her research integrates in silico therapeutic prediction with experimental validation to identify novel strategies for overcoming drug resistance in malaria. She has extensive experience in molecular docking, high-throughput virtual screening, molecular dynamics simulations, and structural modeling, along with strong laboratory skills in recombinant protein expression, purification, enzyme assays, SDS-PAGE, Western blotting, and troubleshooting of protein solubilization challenges. In parasitology, she routinely handles P. falciparum culture under biosafety conditions, performs drug sensitivity assays, IC₅₀ calculations, parasite synchronization, microscopy-based stage identification, and phenotypic assessments to evaluate the efficacy of candidate molecules. Her work spans multi-target drug discovery, immunotherapeutic design, peptide–ligand conjugates, and identification of FDA-approved repurposed drugs, contributing to research on malaria, dengue, monkeypox, and SARS-CoV-2. She has co-authored impactful publications in high-quality journals, including studies on kinase inhibition, proteogenomic annotation, natural product screening, antiviral peptide inhibitors, and immunotherapy models. Beyond malaria, her interdisciplinary research extends to computational immunology, antiviral therapeutics, systems biology, and high-throughput data analyses. She has contributed book chapters on marine anti-viral compounds, microRNA applications, and systems biology approaches, reflecting her broad scientific engagement. Her growing scientific impact is reflected in 75 citations across 59 documents, supported by 10 peer-reviewed publications and an h-index of 5, underscoring the visibility and influence of her research contributions. Recognized for her academic excellence and research achievements, she has received multiple national-level awards for oral and poster presentations and has participated in international scientific conferences and advanced training programs. Her work reflects a complete bench-to-computer pipeline aimed at developing innovative therapeutic solutions for parasitic and viral diseases.

Featured Publication

Panda, M., Srivastava, V., Singh, S., & Prusty, D. (2025). Unveiling prospective therapeutic potential of conserved hypothetical Plasmodium falciparum proteins by using integrated proteo-genomic annotation and in-silico therapeutic discovery approach. Protein Journal.