Yolanda Hernandez Gago | Farmacia | Innovative Research Award

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Mrs. Yolanda Hernandez Gago | Farmacia | Innovative Research Award

Jefe de Seccion | Complejo Hospitalario Universitario Insular Materno-Infantil | Spain

Yolanda Hernández Gago is a highly experienced hospital pharmacist whose career has been dedicated to advancing pharmaceutical care in pediatrics, with a special focus on oncology, hematology, rare diseases, and high-risk medications. She has developed extensive expertise at the Complejo Hospitalario Universitario Insular Materno Infantil in Las Palmas de Gran Canaria, where she currently leads the pharmacy section. Throughout her professional journey, she has contributed significantly to improving medication safety, designing dosage and administration guidelines in collaboration with nursing teams, and coordinating initiatives aimed at harmonizing drug utilization criteria across healthcare services. She has also been involved in evaluating new technologies and information systems for hospital and primary care pharmacy services and participated in the development of clinical guides on anti-infective treatments. Her commitment to international cooperation is reflected in her teaching contributions at universities in Mozambique, where she supported medical training and education programs in healthcare cooperation. She has been an active member of the Spanish Group of Pediatric Pharmacy, contributing to its early communication platforms, research projects, and educational activities. Her research work includes participation in multicenter studies, development of pharmaceutical care models for pediatric patients, and investigation of medication safety in hospital settings. She has authored scientific papers, book chapters, and reports addressing topics such as medication errors, cost-effectiveness of treatments, and pediatric pharmacotherapy, achieving 64 citations by 64 documents and publishing 8 documents. In addition, she has presented her work at national and international conferences and collaborated on projects with leading healthcare institutions in Spain. Her career reflects a strong commitment to patient safety, professional development in hospital pharmacy, and international health cooperation, making her a respected figure in pediatric pharmacy practice and research.

Profile: Scopus

Featured Publications

Garrido Corro, B., Otero, M. J., Jimenez Lozano, I., Hernandez Gago, Y., Alvarez del Vayo, C., Trujillo Santos, J., & Fernandez-Llamazares, C. (2025). High-risk pediatric medications: A listing proposal by interdisciplinary consensus technique. Farmacia Hospitalaria.

Garrido Corro, B., Otero, M. J., Jiménez Lozano, I., Hernández Gago, Y., Alvarez del Vayo, C., Trujillo Santos, J., & Fernandez-Llamazares, C. (2023). Medication errors in children visiting pediatric emergency department. Farmacia Hospitalaria.

Hernández Gago, Y., & Navarro Dávila, M. A. (2018). Kinsbourne syndrome: Role of Rituximab. Revista de Neurología, 27(3).

Hernández Gago, Y., Lombardero Pin, M., Ortega de la Cruz, C., Maciuniak, P., & Díez del Pino, A. (2017). Cost-effectiveness of a protocol using palivizumab in preterm infants. Farmacia Hospitalaria, 41(2), 168–186.

Martínez-Llamazares, C., Pozas, M., Juárez Jiménez, J. C., Hernández Gago, Y., Cabañas, M. J., Villaronga, M., & Valverde, E. (2013). Diseño de un modelo de atención farmacéutica infantil para la validación de órdenes médicas en hospitales españoles. Anales de la Real Academia de Farmacia, 79(3), 481–504.

Aleixandre Verger | Remote Sensing | Best Researcher Award

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Dr. Aleixandre Verger | Remote Sensing | Best Researcher Award

Senior Research Scientiest | Spanish National Research Council (CSIC) | Spain

Dr. Aleixandre Verger is a research scientist at the Desertification Research Centre (CIDE, CSIC-UV-GVA, Valencia) and associated researcher at the Centre for Ecological Research and Forestry Applications (CREAF, CSIC-UAB, Barcelona), with extensive experience in remote sensing and its applications to global change. His academic background includes a degree and doctorate in physics, followed by international postdoctoral training and competitive fellowships. His research focuses on the use of remote sensing and artificial intelligence for the retrieval of biophysical variables, vegetation phenology, climate–vegetation interactions, and global ecosystem monitoring. He has coordinated and participated in more than thirty national and international projects, serving as principal investigator in several funded by European and Spanish institutions, including collaborations with CNES, Copernicus Land Monitoring Service, Copernicus Climate Change Service, and the Spanish Ministry of Science. He has played a leading role in the development of algorithms for the retrieval of key vegetation variables such as LAI, FAPAR, and FCover within the Copernicus program. His publication record includes more than sixty-five papers in high-impact journals, several book chapters, numerous scientific reports, and over one hundred conference contributions, with his work cited 3,677 times across 3,043 documents, reflected in an h-index of 32. His work is highly cited and widely recognized within the scientific community, reflected in strong citation indices and prestigious recognitions. He has supervised doctoral and postdoctoral researchers, as well as graduate students and technicians, contributing to the training of the next generation of scientists. In addition to research, he has taken on editorial responsibilities, served on scientific committees, organized international conferences and training schools, and coordinated interdisciplinary platforms in remote sensing. His contributions have been acknowledged with recognition as a top scholar globally, highlighting his influence and leadership in the field.

Proflie: Scopus | Orcid | Google Scholar | ResearchGate

Featured Publications

Chen, R., Yin, G., Liu, G., Yang, Y., Wang, C., Xie, Q., Zhao, W., & Verger, A. (2023). Correction of illumination effects on seasonal divergent NIRv photosynthetic phenology. Agricultural and Forest Meteorology, 341, 109542.

Chen, R., Yin, G., Zhao, W., Xu, B., Zeng, Y., Liu, G., & Verger, A. (2022). TCNIRv: Topographically corrected near-infrared reflectance of vegetation for tracking gross primary production over mountainous areas. IEEE Transactions on Geoscience and Remote Sensing, 60, 3149655.

Descals, A., Gaveau, D. L. A., Verger, A., Sheil, D., Naito, D., & Peñuelas, J. (2022). Unprecedented fire activity above the Arctic Circle linked to rising temperatures. Science, 378(6622), 626–631.

Descals, A., Torres, K., Verger, A., & Peñuelas, J. (2025). Evaluating Sentinel-2 for monitoring drought-induced crop failure in winter cereals. Remote Sensing, 17(2), 340.

Descals, A., Verger, A., Yin, G., & Peñuelas, J. (2021). A threshold method for robust and fast estimation of land-surface phenology using Google Earth Engine. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 1394–1404.

Mary Imboden | Cardiovascular Health | Best Researcher Award

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Dr. Mary Imboden | Cardiovascular Health | Best Researcher Award

Academician | Providence Health and Services Oregon and Southwest Washington | United States

Dr. Mary Imboden is a Principal Research Scientist at the Providence Center for Cardiovascular Analytics, Research and Data Science, where she develops and leads a portfolio of cardiovascular-related research projects while also serving as Research Fellow with the Health Enhancement Research Organization, managing national initiatives on worker well-being and health promotion. She has held leadership roles in academia, including as Chair and Associate Professor in the Department of Kinesiology at George Fox University, where she also directed employee health and fitness programs, and has taught in the Healthy Lifestyle Practitioner Certificate Program at the University of Illinois-Chicago. Her editorial contributions include serving as Co-Editor of the American Journal of Health Promotion, overseeing the “Knowing Well, Being Well” section. She has actively contributed to professional service through leadership roles with the Oregon Academy of Science, the Clinical Exercise Physiology Association, and multiple advisory boards including PAPREN, the Wellbeing Think Tank, and the Ball State University College of Health External Advisory Council. Her research expertise spans cardiorespiratory fitness, physical activity, workplace well-being, health disparities, and cardiovascular disease prevention, with numerous peer-reviewed publications in high-impact journals such as JACC, Progress in Cardiovascular Diseases, American Journal of Health Promotion, and Medicine and Science in Sports and Exercise. She has also authored widely cited workplace health promotion resources and scorecards that have shaped industry practices. Her scholarly impact includes 1,400 citations by 1,230 documents across 44 publications, with an h-index of 18. Her work is characterized by a strong focus on translating research into practice at organizational, community, and national levels, advancing evidence-based strategies that integrate health promotion, workforce well-being, and chronic disease prevention to improve both individual and population health outcomes.

Profile: Scopus | Orcid | LinkedIn | Researchgate

Featured Publications

Imboden, M. T., Koltner, E., Bryant, J., Jones, A., Swanson, R., Tam, L., & Woolf, K. (in press). Sex disparities in acute myocardial infarction diagnosis and treatment. American Journal of Cardiology.

Imboden, M. T., Gill, M., Jones, K., Ghosal, R., Gilmore, A., Johnson, A., Wilson, E., Gluckman, T. J., Ateya, M., Dai, F., Mazey, L. L., Townsend, K. A., & Wendt, S. J. Medication adherence patterns for patients with atrial fibrillation: A mixed methods study to understand patient and clinician perspectives. BMC Cardiovascular Disorders.

Li, H. F., Imboden, M. T., Wendt, S. J., Jones, L. K., Sidelnikov, E., & Gluckman, T. J. (under review). A simplified approach to atherosclerotic cardiovascular disease risk assessment. American Journal of Preventive Cardiology.

Imboden, M. T., & Moseley, K. (2025). Boosting business and health: The case for workplace physical activity. American Journal of Health Promotion, 39(7), 1082–1084.

Ablah, E., Imboden, M. T., Zendell, A., Hosking, M., Anderson, R. E., VanHoose, K., Peterson, N., Wojcik, J. R., Pronk, N. P., Harber, M., & Whitsel, L. P. (2025). Benefits of supplementing a GLP-1 type medication with physical activity. American Journal of Health Promotion, 39(7), 1088–1095.

Abdol Mohammad Ghaedi | environmental science | Best Researcher Award

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Assoc. Prof. Dr. Abdol Mohammad Ghaedi | environmental science | Best Researcher Award

Supervisor | Islamic Azad University | Iran

Abdol Mohammad Ghaedi is a lecturer in the Department of Chemistry at the Islamic Azad University, Gachsaran Branch, where he has developed extensive expertise in applied chemistry, particularly in the areas of membrane technology, adsorption processes, nanofiltration, ultrafiltration, reverse osmosis, and chemical cleaning of membranes. His academic background includes advanced studies in pure and applied chemistry, with research focusing on the preparation and application of membranes for separation and concentration processes, as well as the utilization of chemometric and artificial intelligence methods for modeling and optimization of chemical systems. He has contributed significantly to the fields of industrial chemistry and separation science through teaching courses such as Industrial Chemistry, Corrosion, and Physical and Chemical Methods of Separation, alongside supervising laboratory work in general and industrial chemistry. His research output is reflected in numerous publications in high-impact international journals, addressing topics such as adsorption of dyes and heavy metals, development of nanocomposites and nanoparticles, and predictive modeling using artificial neural networks, random forest methods, and support vector machines. His collaborative work with international scholars demonstrates a multidisciplinary approach bridging chemistry, nanotechnology, and environmental engineering. In addition, he has presented research at national and international conferences, showcasing his work on ultrafiltration membranes, adsorption systems, and predictive modeling for thermodynamic and transport properties of chemical solutions. His sustained research productivity and contributions highlight his role in advancing innovative methods for environmental remediation, water treatment, and industrial applications of chemical and nanomaterials. His research profile includes 4,161 citations by 3,061 documents, with 76 published documents indexed internationally.

Profile : Scopus | Orcid | Google Scholar

Featured Publications

  • Ebrahimpoor, S., Kiarostami, V., Khosravi, M., Davallo, M., & Ghaedi, A. (2021). Optimization of tartrazine adsorption onto polypyrrole/SrFe₁₂O₁₉/graphene oxide nanocomposite using central composite design and bat inspired algorithm with the aid of artificial neural networks. Fibers and Polymers, 22(6), 1569–1583.

  • Vafaei, A., Ghaedi, A. M., Avazzadeh, Z., Kiarostami, V., Agarwal, S., & Gupta, V. K. (2021). Removal of hydrochlorothiazide from molecular liquids using carbon nanotubes: Radial basis function neural network modeling and culture algorithm optimization. Journal of Molecular Liquids, 323, 114766.

  • Baneshi, M. M., Ghaedi, A. M., Vafaei, A., Emadzadeh, D., Lau, W. J., Marioryad, H., & Jamshidi, A. (2020). A high-flux P84 polyimide mixed matrix membranes incorporated with cadmium-based metal organic frameworks for enhanced simultaneous dyes removal: Response surface methodology. Environmental Research, 185, 109278.

  • Dehghani, M. H., Karri, R. R., Lima, E. C., Mahvi, A. H., Nazmara, S., Ghaedi, A. M., Fazlzadeh, M., & Gholami, S. (2020). Regression and mathematical modeling of fluoride ion adsorption from contaminated water using a magnetic versatile biomaterial & chelating agent: Insight on production & experimental approaches, mechanism and effects of potential interferers. Journal of Molecular Liquids, 309, 113653.

  • Agarwal, S., Tyagi, I., Gupta, V. K., Ghaedi, M., Masoomzade, M., Ghaedi, A. M., & Mirtamizdoust, B. (2020). Retraction notice to “Kinetics and thermodynamics of methyl orange adsorption from aqueous solutions—artificial neural network-particle swarm optimization modeling” [Journal of Molecular Liquids, 218, 354–362]. Journal of Molecular Liquids, 306, 112621.

 

Sena Dilek Aksoy | Midwifery | Best Researcher Award

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Assoc. Prof. Dr. Sena Dilek Aksoy | Midwifery | Best Researcher Award

Associate professor | Kocaeli University | Turkey

Sena Dilek Aksoy is an Associate Professor in the Department of Midwifery at the Faculty of Health Sciences, Kocaeli University, with extensive academic and research experience in gynecology, obstetrics, nursing, and midwifery. She earned her doctoral degree in gynecology and obstetrics nursing, complemented by both thesis and non-thesis master’s studies, and a bachelor’s degree in midwifery. Throughout her career, she has held various academic positions including lecturer, research assistant, assistant professor, and associate professor, contributing significantly to teaching, research, and academic leadership. Her scholarly work focuses on maternal and neonatal health, perinatal care, reproductive health, postpartum practices, women’s mental health, and integrative approaches in midwifery. She has supervised numerous master’s theses and actively participated in national and institutional research projects on topics such as cesarean outcomes, maternal body temperature, acupressure, and surgical innovations, and has contributed to the development of patented medical devices. She has published widely in international peer-reviewed journals, with research covering areas such as childbirth experiences, pregnancy-related pain, postpartum depression, neonatal outcomes, and professional well-being of midwives, with 31 citations by 31 documents, 13 documents, and an h-index of 4. She has also presented at international congresses and contributed to the advancement of qualitative and quantitative methodologies in midwifery research. Alongside her academic and research contributions, she is a member of professional organizations dedicated to advancing education and practice in midwifery. Through her teaching, research, and professional service, she continues to strengthen the field of maternal and child health, fostering evidence-based practices and interdisciplinary collaboration in healthcare.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Aksoy, S. D., Uysal Yalçın, S., & Kaya Odabaş, R. (2025). Examining the hesitations of pregnant women towards COVID-19 vaccines during the pandemic: A mixed methods approach. Midwifery.

Ozdilek, R., Yıldırım, M., Aksoy, S. D., & Gul, D. K. (2025). The frequency of back pain, lumbar pain, and pelvic girdle pain during pregnancy. Pain Management Nursing.

Aksoy, S. D., Yel, S. Y., & Akyildiz, D. (2025). The effect of maternal oxytocin induction during birth on early neonatal pain and stress: A quasi-experimental study. Biological Research for Nursing.

Aksoy, S. D., Ozdılek, R., & Aba, Y. A. (2024). The effect of pregnant women’s status of receiving preconception care on pregnancy stress. Health Care for Women International.

Aksoy, S. D., & Özdemir, S. (2024). Turkish women’s who are social media users views and practices on postpartum placenta and umbilical cord. Selçuk Sağlık Dergisi.

Workiye Getnet Abera | Engineering | Young Researcher Award

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Mr. Workiye Getnet Abera | Engineering | Young Researcher Award

Senior Lecturer and Researcher | Debre Tabor University | Ethiopia

Workiye Getnet Abera is a dedicated chemical engineer specializing in modeling, simulation, and optimization, with a strong research focus on biomass-based products, polymer chemistry, and sustainable materials. He has extensive academic experience as a lecturer and researcher, contributing to the advancement of chemical engineering education and leading research initiatives in process engineering and additive manufacturing. His industrial background includes hands-on training in large-scale production environments, where he gained valuable insights into chemical processes and operations. As an active scholar, he has authored several peer-reviewed publications in internationally recognized journals, with contributions spanning biolubricants, bioplastics, and food engineering innovations. His research output includes 5 published documents with 17 citations across 17 citing documents, reflecting the growing impact of his scientific contributions. In addition to his research, he plays a significant role in the scientific community as a reviewer for leading publishers such as Elsevier, Springer, and Taylor & Francis, and serves on the editorial boards of multiple academic journals. His work emphasizes sustainability, resource efficiency, and the development of environmentally friendly technologies, aiming to bridge the gap between industrial application and academic innovation. He is proficient in a wide range of technical software, including Aspen Plus, MATLAB, and ANSYS, and applies advanced optimization and material characterization techniques in his research. Through his teaching, publications, and professional service, he demonstrates a strong commitment to knowledge dissemination, sustainable engineering practices, and the promotion of innovative solutions that address global challenges in energy, materials, and food systems.

Profile: Scopus | Orcid

Featured Publications

Alemu, H., Labena, A. A., Fereja, B. M., Gebreyes, D. A., & Abera, W. G. (2025). Cobalt-polydopamine nanocomposite for efficient removal of Pb(II) and Cd(II) from water: Synthesis, characterization, and adsorption mechanisms. Desalination and Water Treatment. Advance online publication.

Gebreyes, D. A., Alemea, M. T., Robi, A. G., Abera, W. G., & Tenkolu, G. A. (2025). Synthesis, characterization, and optimization of antimicrobial biolubricant derived from Ocimum lamiifolium and lactic acid. Heliyon. Advance online publication.

Gebremedihin, L. B., & Abera, W. G. (2024). Quality assessment of gluten-free sorghum bread prepared with sourdough and the addition of sweet lupin flour. CYTA – Journal of Food. Advance online publication.

Abebe, T. G., & Abera, W. G. (2024). Effect of baking conditions on gluten-free biscuit quality made from groundnut oilseed cake protein isolate and teff flour blends. Cogent Food & Agriculture. Advance online publication.

Abera, W. G., Kasirajan, R., & Majamo, S. L. (2023). Synthesis and characterization of bioplastic film from banana (Musa Cavendish species) peel starch blending with banana pseudo-stem cellulosic fiber. Biomass Conversion and Biorefinery, 13, 7085–7097.

Bo Yuan | Biochemistry | Best Researcher Award

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Prof. Bo Yuan | Biochemistry | Best Researcher Award

Professor | Jiangsu Normal University | China

Prof. Bo Yuan is a distinguished researcher whose work focuses on microbial-host physiological ecology with particular emphasis on metabolic entropy dynamics. His research explores how microorganisms, as fundamental life forms with diverse metabolic capabilities, interact with host systems through complex energy exchange processes. By investigating metabolic alterations during host-microbe interactions, his studies provide insights into the thermodynamic and kinetic mechanisms that govern physiological processes and the flux of assimilated carbon across biological interfaces. His publications cover a wide range of topics including microbial metabolism, bioactive compounds, polysaccharide characterization, enzymatic applications, natural product chemistry, and innovative biotechnological solutions. He has contributed significantly to understanding the physiological effects of compounds such as naphthenic acids, salvianolic acid, cochlioquinone derivatives, and polysaccharides, as well as the development of novel biomaterials and catalytic systems for bioenergy and environmental applications. His work integrates microbial ecology, biochemistry, pharmacology, and material science to address challenges in agriculture, environmental sustainability, and human health. His studies on chitosan-based carriers, lipases, and biocontrol agents highlight his expertise in developing applied solutions for food safety, crop resilience, pollutant remediation, and disease treatment. Through interdisciplinary approaches, he has advanced the fields of microbial ecology, metabolic regulation, and biotechnological innovation, positioning his work at the interface of fundamental science and practical application. With 1,298 citations by 1,181 documents across 56 publications, his research continues to provide valuable contributions to sustainable agriculture, environmental protection, and biomedical development, establishing him as a leading scholar in the study of microbial-host interactions and metabolic entropy dynamics.

Profile: Scopus

Featured Publications

  • Yuan, B., Wang, Z., Qin, S., Zhao, G., Feng, Y., Wei, L., & Jiang, J. (2012). Study of the anti-sapstain fungus activity of Bacillus amyloliquefaciens CGMCC 5569 associated with Ginkgo biloba and identification of its active components. Bioresource Technology, 114, 536–541.

  • Yuan, B., Xu, P.-Y., Zhang, Y.-J., Wang, P.-P., Yu, H., & Jiang, J.-H. (2014). Synthesis of biocontrol macromolecules by derivative of chitosan with surfactin and antifungal evaluation. International Journal of Biological Macromolecules, 66, 7–14.

  • Yuan, B., Qiu, L.-G., Su, H.-Z., Cao, C.-L., & Jiang, J.-H. (2016). Schiff base–chitosan grafted L-monoguluronic acid as a novel solid-phase adsorbent for removal of Congo red. International Journal of Biological Macromolecules, 82, 355–360.

  • Yuan, B., Yang, X., Xue, L., Feng, Y., & Jiang, J.-H. (2016). A novel recycling system for nano-magnetic molecular imprinting immobilised cellulases: Synergistic recovery of anthocyanin from fruit and vegetable waste. Bioresource Technology, 222, 14–23.

  • Yuan, B., Xue, L., Zhang, Q., Kou, M., & Jiang, J.-H. (2016). Essential oil from sweet potato vines, a potential new natural preservative, antioxidant on sweet potato tuber: Assessment of the activity and the constitute. Journal of Agricultural and Food Chemistry, 64, 7481–7491.

 

Jicai Liu | Data Science | Women Researcher Award

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Assoc. Prof. Dr. Jicai Liu | Data Science | Women Researcher Award

Associate Professor | Shanghai Lixin University of Accounting and Finance | China

Jicai Liu is an Associate Professor of Statistics at the School of Statistics and Mathematics, Shanghai Lixin University of Accounting and Finance, with a research focus on high-dimensional data, survival analysis, dimension reduction, and quantile regression. His academic journey includes advanced training in statistics and extensive teaching and research experience across leading institutions in China and collaborations abroad. He has contributed to the development of novel methodologies in statistical theory and applications, particularly in areas such as high-dimensional regression, nonparametric tests, hazards models, feature screening, clustering algorithms, and dimension reduction techniques. His publications appear in internationally recognized journals including Bernoulli, Science China Mathematics, Journal of Computational and Graphical Statistics, Journal of Multivariate Analysis, Computational Statistics and Data Analysis, and Statistics and Computing, among others. As corresponding author on multiple works, he has advanced methods for analyzing censored outcomes, martingale difference correlation, projection quantile correlation, and sufficient dimension reduction. His contributions also extend to robust estimation, survival models for multivariate failure time data, additive hazards models, and semi-supervised regression. Through his research, he has established a strong reputation in both theoretical developments and practical applications, providing statistical tools that address complex data structures and real-world problems. With 357 citations by 262 documents across 33 publications and an h-index of 10, he has demonstrated significant scholarly impact. In addition to his academic achievements, he has been engaged in collaborative projects with international partners and short-term academic visits, enriching his global perspective and research impact. His work continues to influence the fields of statistics and applied mathematics, contributing innovative approaches to modern statistical challenges and advancing the understanding of high-dimensional and survival data analysis.

Profile: Scopus | Orcid

Featured Publications

Liu, J. (2022). Estimation under single-index hazards models: A new nonparametric extension of ANOVA via projection mean variance measure. Statistica Sinica.

Liu, J. (2022). K-CDFs: A nonparametric clustering algorithm via cumulative distribution function. Journal of Computational and Graphical Statistics.

Liu, J., Si, Y., Niu, Y., & Zhang, R. (2022). Projection quantile correlation and its use in high-dimensional grouped variable screening. Computational Statistics & Data Analysis, 107369.

Niu, Y., Zhang, R., Liu, J., & Li, H. (2020). Group screening for ultra-high-dimensional feature under linear model. Statistical Theory and Related Fields, 4(2), 120–132.

Zhang, Y., Liu, J., Wu, Y., & Fang, X. (2019). A martingale-difference-divergence-based estimation of central mean subspace. Statistics and Its Interface, 12(4), 571–584.

Shagun Kaushal | Physics | Best Researcher Award

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Assist. Prof. Dr. Shagun Kaushal | Physics | Best Researcher Award

Assistant Professor | Vellore Institute of Technology | India

Assist. Prof. Dr. Shagun Kaushal is an Assistant Professor of Physics at the School of Advanced Sciences, Vellore Institute of Technology, with expertise in theoretical high energy physics. His academic journey spans advanced training and research in quantum field theory, general relativity, cosmology, and black hole physics. His research focuses on quantum entanglement and correlations in curved spacetimes, particularly analyzing the dynamics of Unruh-DeWitt detectors in cosmological and black hole scenarios, along with the effects of gravitational waves, background geometry, and quantum fluctuations on information processes. He has contributed significantly to the study of decoherence mechanisms in the early universe, exploring the interaction between matter fluctuations during inflation, gravitational potentials, and cosmological perturbations. His work also includes probing finite-temperature conformal field theories through thermal correlators and studying gravitational lensing, black hole shadows, and extensions of general relativity, including Brans-Dicke theory. Dr. Kaushal has published extensively in leading international journals such as Physics Letters B, Physical Review D, European Physical Journal C, Communications in Theoretical Physics, and Annals of Physics, including notable single-authored contributions. He has 33 citations by 28 documents and 8 documents. His research has attracted recognition within the global high-energy physics community. He has delivered invited talks and presentations at prestigious conferences and institutions worldwide, including workshops, international schools, and research forums. His technical proficiency spans multiple programming languages and scientific computing tools, which he applies to analytical and numerical studies in high energy physics. Alongside his research, he has been actively engaged in teaching, mentoring, and outreach activities, contributing to both academic development and community initiatives. His scholarly achievements, collaborative projects, and international exposure reflect his dedication to advancing the understanding of the fundamental connections between quantum theory and gravity.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Kaushal, S., & Bhattacharya, S. (2025). Entanglement generation between Unruh-DeWitt detectors in the de Sitter spacetime – Analysis with complex scalar fields. Annals of Physics.

Ali, M. S., Kaushal, S., & Liu, Y.-X. (2025). Strong gravitational lensing of a five-dimensional charged, equally rotating black hole with a cosmological constant. Communications in Theoretical Physics.

Kaushal, S. (2025). Fermionic entanglement in the presence of background electric and magnetic fields. European Physical Journal C.

Kaushal, S., & Singh, S. (2024). Backreaction inclusive Schwinger effect. arXiv.

Bhattacharya, S., & Kaushal, S. (2024). Entanglement generation between two comoving Unruh-DeWitt detectors in the cosmological de Sitter spacetime. arXiv.