CHRYSOULA TSIRMPA | Social Sciences | Best Researcher Award

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Ms. CHRYSOULA TSIRMPA | Social Sciences | Best Researcher Award

Education counselor for Preschool Education, University of Patras Greece

Dr. Chrysoula Tsirmpa is an accomplished academic and preschool education expert from Patras, Greece. She completed her PhD at the University of Patras, focusing on literacy practices and family involvement in preschool education. With over two decades of experience, she has served as a kindergarten teacher and currently works as an Education Counselor for Preschool Education in Achaia, Greece. Dr. Tsirmpa’s research emphasizes literacy, family engagement, and teacher training, contributing to international journals and collective volumes. Fluent in English, French, and Italian, she bridges cultures through her expertise in preschool education and literacy development.

Publication Profile

Orcid

🎓 Education

PhD (2017–2021): University of Patras; Dissertation on parental literacy beliefs and preschool-to-school transitions. Master’s (2008–2010): University Aix-Marseille 1, France; Focus on Greek as a Second Language in Preschool Education. Bachelor’s (1990–1994): Department of Preschool Education, University of Patras. Languages & ICT: Proficient in English (C2), French (C2), Italian (B2), and trained in ICT.

💼 Experience

Education Counselor: Since 2023, guiding preschool education in Achaia, Greece. Kindergarten Teacher: Over 20 years in Greek primary education, fostering early literacy. International Role (2006–2010): Educator in Marseille, France, teaching Greek Language in preschool settings.

🏆 Awards & Honors

Recognized for impactful research on literacy and parental involvement in education. Numerous contributions to international and Greek journals, highlighting innovative practices in preschool education. Esteemed publications in UNESCO-led volumes and leading academic journals.

🔬 Research Focus

Preschool literacy practices. Family literacy engagement . Teacher training and professional development. Cross-cultural approaches to emergent literacy

Conclusion

Dr. Tsirmpa’s extensive expertise in preschool literacy, her impactful publications, and her professional dedication position her as an exemplary candidate for the Best Researcher Award. By addressing minor gaps, such as fostering broader interdisciplinary collaborations, she has the potential to further amplify her already significant influence in the field of early childhood education.

Publication Top Notes

  • ‘I would become an even better mother, a better person for the society’: Mothers’ needs and expectations for participation in a family literacy programme

 

  • Parents’ beliefs about the role of Kindergarten in literacy development
    • Published: International Journal about Parents in Education, 2023-08-28
    • DOI: 10.54195/ijpe.16410
    • Authors: Chrysoula Tsirmpa, Nektarios Stellakis

 

  • Beliefs of parents of preschool children about literacy: Facilitative and conventional approaches
    • Published: European Early Childhood Education Research Journal, 2021-07-04
    • DOI: 10.1080/1350293x.2021.1941169
    • Authors: Chrysoula Tsirmpa, Nektarios Stellakis, Konstantinos Lavidas

 

  • Parent Reading Belief Inventory: Adaptation and psychometric properties with a sample of Greek parents
    • Published: Educational Role of Language Journal, 2019-08-06
    • DOI: 10.36534/erlj.2019.01.13
    • Authors: Chrysoula Tsirmpa, Nektarios Stellakis, Konstantinos Lavidas

 

 

 

Xin Bao | Agricultural Disaster Monitoring | Best Researcher Award

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Dr. Xin Bao | Agricultural Disaster Monitoring | Best Researcher Award

Doctoral Candidate, Southwest Jiaotong University China

Xin Bao is a Ph.D. candidate in Surveying and Mapping Science and Technology at Southwest Jiaotong University, Chengdu, China. Her research focuses on vegetation growth monitoring, soil moisture retrieval, and the use of synthetic aperture radar (SAR) for environmental monitoring. Xin has published extensively in high-impact journals and presented her work at national and international conferences. She holds both a Master’s and Bachelor’s degree in Surveying and Mapping from Guilin University of Technology and Shangqiu Normal University. Xin is also involved in patent development related to SAR and remote sensing technologies.

Publication Profile

Scopus

🎓 Education

Xin Bao completed her Ph.D. in Surveying and Mapping Science and Technology at Southwest Jiaotong University in 2021. Before that, she earned an M.S. in Engineering from Guilin University of Technology and a B.S. in Engineering from Shangqiu Normal University. Throughout her academic journey, Xin focused on remote sensing, SAR imagery, and environmental monitoring, contributing valuable insights into vegetation monitoring and soil moisture analysis. She has collaborated with renowned professors like Rui Zhang and Guoqing Zhou on several impactful research projects.

💼 Experience

Xin Bao has worked on numerous research projects, including soil moisture inversion methods in cold and arid regions and the dynamic evolution of glaciers and glacial lakes in Tibet. She has collaborated with international research teams, published papers in peer-reviewed journals, and presented at various academic conferences. Her research has focused on improving SAR-based methods for monitoring vegetation growth and soil moisture, contributing significantly to the remote sensing field. Xin is also a peer reviewer for several esteemed journals in her area.

🏆 Awards & Honors

Xin Bao has received numerous academic awards, including the Doctoral Academic Excellence Scholarship (2021-2023), Yang Hua Rising Star Scholarship (2021), and the Outstanding Master’s Graduate Award (2021). She has been recognized for her excellence in mathematical modeling, winning first prize in the Graduate Mathematical Modeling Competition in 2019. Xin also received the National Encouragement Scholarship in 2018, showcasing her exceptional academic and research achievements.

🔬 Research Focus

Xin Bao’s research focuses on vegetation growth monitoring, soil moisture retrieval, and the application of synthetic aperture radar (SAR) in environmental monitoring. Her work includes developing novel algorithms for soil moisture inversion in arid and cold regions and analyzing glacial dynamics in Tibet using SAR and optical imagery. She is also investigating advanced methods for integrating real-scene visualization with urban imagery. Xin aims to improve environmental monitoring and disaster prevention strategies through her innovative research.

Conclusion

Xin Bao’s strong academic foundation, combined with his research excellence in SAR-based monitoring systems and soil moisture retrieval, makes him an ideal candidate for the Best Researcher Award. His ongoing work on time-series SAR data and its applications in geosciences demonstrates his potential for future innovations. With continued focus on cross-disciplinary collaboration and greater engagement with the global scientific community, Xin Bao is poised to make further substantial contributions to remote sensing and environmental research.

Publication Top Notes

Di Ma | Neuroinflammation | Best Researcher Award

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Assoc. Prof. Dr. Di Ma | Neuroinflammation | Best Researcher Award

Charge of the Neuroscience Center, First hospital of Jilin University China

Di Ma, a female associate professor at the Department of Neurology, The First Hospital of Jilin University, has expertise in neuroimmunology. With a focus on inflammatory injuries in cerebral ischemia and neurodegenerative diseases, she is highly engaged in academic research and clinical training.

Publication Profile

Scopus

🎓 Education

Ph.D. in Neurology, Nagoya University, Japan (2009-2012). Master’s degree in Immunology, Bethune Medical College, Jilin University (2006-2008). Bachelor’s degree, Bethune Medical College, Jilin University (2001-2006)

💼 Experience

Associate Professor, Department of Neurology, The First Hospital of Jilin University (2018-present). Lecturer, Department of Neurology, The First Hospital of Jilin University (2014-2018). Postdoctoral Tutor, Department of Neurology, The First Hospital of Jilin University (2014-2019)

🏆 Awards & Honors

2018: The First Xue Qizhen Excellent Youth Award. Multiple grants from National Nature Science Foundation, Jilin Province, and Chinese Scholarship Council

🔬 Research Focus

Di Ma’s research focuses on the regulation of connexin 43 in cerebral ischemia-reperfusion injuries and inflammatory responses. She studies the effects of ischemic preconditioning and gap junction proteins in neuroprotection.

Conclusion

Di Ma is a promising researcher with significant expertise in neuroimmunology and neurology. Her work addresses vital issues in cerebral ischemia and neuronal degeneration, and her accomplishments in research funding, mentorship, and innovative approaches make her a strong candidate for the Best Researcher Award. However, to further advance her career, expanding her collaborative efforts, increasing her global presence, and focusing on translating her research into clinical applications could increase the impact of her contributions on both scientific and clinical communities.

Publication Top Notes

Chen Wai Wong | Biotechnology | Best Researcher Award

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Assoc. Prof. Dr. Chen Wai Wong | Biotechnology | Best Researcher Award

Lecturer, UCSI University Malaysia

Dr. Wong Chen Wai is an Associate Professor at the Faculty of Applied Sciences, UCSI University, Malaysia. With a background in Biotechnology, he specializes in enzyme and food biotechnology, teaching subjects related to biochemistry, biotechnology, and biosensors. He has made significant contributions to both academia and industry through research and teaching. He has supervised numerous Ph.D. and MSc students, leading various cutting-edge research projects. 🌱👨‍🏫

Publication Profile

Scopus

Orcid

Scholar

🎓 Education

Dr. Wong holds a Postgraduate Diploma in Tertiary Teaching (2021), a Ph.D. in Enzyme and Food Biotechnology (2009), and a Bachelor of Science in Biotechnology (2001), all from esteemed Malaysian institutions. His academic journey has honed his expertise in biotechnology and applied sciences.

💼 Experience

Dr. Wong has held key academic positions at UCSI University, including Associate Professor (2019–present) and Head of Biotechnology (2019–2022). He has also worked as an Application Chemist and Engineer in the industry before pursuing his academic career. His teaching spans various subjects in biotechnology, and he has supervised many graduate and postgraduate students.

🏆 Awards & Honors

Dr. Wong’s achievements include recognition for excellence in research and teaching, with a strong focus on biotechnological innovations. He has been awarded various fellowships and honors for his contributions to education and research.

🔬 Research Focus

Dr. Wong’s research focuses on the development of bioplastics, biofuels, enzyme technology, and the use of natural extracts in biotechnology. His current research includes the sustainable use of agricultural waste and biorefinery technologies.

Conclusion

Dr. Wong’s distinguished academic and research career, marked by his leadership in biotechnology and contributions to sustainable biotechnological solutions, makes him highly deserving of the Best Researcher Award. While opportunities for expanding his interdisciplinary collaborations exist, his current body of work and mentorship in shaping future leaders in biotechnology makes him a standout researcher in his field.

Publication Top Notes

  • Title: Effect of enzymatic processing, inlet temperature, and maltodextrin concentration on the rheological and physicochemical properties of spray‐dried banana (Musa acuminata) powder
    Year: 2018
    Authors: CW Wong, CY Teoh, CE Putri
    Citation: Journal of Food Processing and Preservation, 18

 

  • Title: Inhibitory effect of Malaysian coastal plants on banana (Musa acuminata Colla “Lakatan”), ginger (Zingiber officinale Roscoe), and sweet potato (Ipomoea batatas) polyphenol oxidase
    Year: 2021
    Authors: WY Lim, YW Cheng, LB Lian, EWC Chan, CW Wong
    Citation: Journal of Food Science and Technology, 58, 4178-4184

 

  • Title: Ceiba pentandra (L.) Gaertn.: An overview of its botany, uses, reproductive biology, pharmacological properties, and industrial potentials
    Year: 2022
    Authors: EWC Chan, SW Yeong, CW Wong, OYM Soo, ACY Phua, YK Ng
    Citation: Journal of Applied Biology and Biotechnology, 10(20), 1-7

 

  • Title: Inhibitory Effect of Onion Extract on Cassava Leaf (Manihot esculenta Crantz) Polyphenol Oxidase
    Year: 2014
    Authors: CW Wong, PLA Lee
    Citation: International Food Research Journal, 21(2), 755-758

 

  • Title: Hydrophobic bioactive constituents of cinnamon bark as inhibitors of polyphenol oxidase from Musa acuminata ‘Mas’ peel
    Year: 2022
    Authors: ZZ Siew, EWC Chan, CW Wong
    Citation: Biocatalysis and Agricultural Biotechnology, 45, 102504

 

  • Title: Effects of inlet temperature and carrier concentration on spray-dried ‘cempedak’ (Artocarpus integer) fruit powder and its reconstitution properties
    Year: 2021
    Authors: LP Pui, R Karim, YA Yusof, CW Wong, HM Ghazali
    Citation: Acta Scientiarum Polonorum, Technologia Alimentaria, 20(2), 135-148

 

  • Title: Tyrosinase inhibiting extracts from coastal plants as potential additives in skin whitening formulations
    Year: 2021
    Authors: WY Lim, EWC Chan, CW Phan, CW Wong
    Citation: Current Applied Science and Technology, 21, 481-494

 

  • Title: Role of scutellarin in human cancer—A review
    Year: 2019
    Authors: EWC Chan, CSS Lim, WY Lim, ZJ Loong, CW Wong
    Citation: Journal of Applied Pharmaceutical Science, 9(1), 142-146

 

  • Title: Deep eutectic solvents for batteries and fuel cells: biosubstitution, advantages, challenges, and future directions
    Year: 2023
    Authors: Y Hariyanto, YK Ng, ZZ Siew, CY Soon, AC Fisher, L Kloyer, CW Wong, et al.
    Citation: Energy & Fuels, 37(23), 18395-18407

 

  • Title: Pomolic acid: A short review on its chemistry, plant sources, pharmacological properties, and patents
    Year: 2023
    Authors: EWC Chan, YK Ng, CSS Lim, VS Anggraeni, ZZ Siew, CW Wong, et al.
    Citation: Journal of Applied Pharmaceutical Science, 13(5), 058-065

 

  • Title: Anti-quorum sensing and antibiotic enhancement of allylpyrocatechol and methyl gallate
    Year: 2021
    Authors: CSS Lim, EWC Chan, CW Wong, JBL Tan, VS Anggraeni, ZJ Loong, et al.
    Citation: Jurnal Teknologi, 83(3), 101-106

 

  • Title: Thermostable Deep Eutectic Solvents for Thermochemical Reactions: Novel Stability Indicators
    Year: 2024
    Authors: Y Hariyanto, CW Wong, AC Fisher, L Kloyer, EWC Chan
    Citation: ACS Sustainable Chemistry & Engineering, 12(17), 6774-6785

 

  • Title: Swelling behavior and methylene blue absorption of carboxymethyl cellulose hydrogels prepared from Malaysian agricultural wastes by electron beam irradiation
    Year: 2020
    Authors: EWC Chan, CMY Huang, P CHIA, CSS Lim, ZJ Loong, M Talib, CW Wong, et al.
    Citation: Cell Chem Technol, 54(5-6), 421-428

 

Chanchal Choudhary | Developmenal Biology | Best Researcher Award

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Ms. Chanchal Choudhary | Developmenal Biology | Best Researcher Award

PhD Scholar, Jawaharlal Nehru University, India 

Chanchal Choudhary is a passionate PhD graduate specializing in molecular and developmental biology. With extensive experience in researching cellular processes, she has contributed to high-impact research on Translationally-Controlled Tumor Proteins (TCTP) and their role in Dictyostelium discoideum. Chanchal has presented her findings at international conferences and co-authored multiple peer-reviewed publications. A recipient of several academic honors, she is dedicated to advancing scientific understanding in the field of developmental biology and molecular mechanisms, aiming to contribute to breakthroughs in health sciences. 🌱🧬

Publication Profile

Orcid

🎓 Education

Ph.D. in Life Sciences (Developmental Biology), Jawaharlal Nehru University, New Delhi (2018-2024)  Research focused on the role of TCTP2 in Dictyostelium discoideum.. M.Sc. in Zoology, Hindu College, University of Delhi (2016–2018) . Specialized in Genomics, Metagenomics, and Epigenetics. B.Sc. (Honors) in Zoology, Acharya Narendra Dev College, University of Delhi (2013–2016)  Graduated with First Division and focused on biological sciences.

💼 Experience

Junior Research Fellow (CSIR), Jawaharlal Nehru University, New Delhi (2018–2020) . Senior Research Fellow (CSIR), Jawaharlal Nehru University, New Delhi (2020–2023) . Dissertation, University of Delhi (2018) on mitochondrial dysfunction in ALS. Innovation Project, Acharya Narendra Dev College (2015–2016), on microbial biodegradation.

🏆 Awards & Honors

CSIR-UGC Junior Research Fellowship (NET), December 2017. Project Assistance Fellowship, University of Delhi (2015–2016). 20th National Children’s Science Congress Presentation, Banaras Hindu University (2012). State-Level Science Model Presentation, 2010

🔬 Research Focus

Chanchal’s research delves into developmental biology, focusing on Translationally-Controlled Tumor Proteins (TCTP) in Dictyostelium discoideum, studying their involvement in cell growth, development, and autophagy regulation. Her work aims to advance understanding of cellular processes and their implications in cancer therapy. 🧬💡

Conclusion

Chanchal Choudhary exhibits the qualities of a highly capable and dedicated researcher. Her technical skills, significant contributions to understanding TCTP2’s role in cell biology, and active engagement in academic forums position her as a leading figure in her field. By enhancing the clinical relevance of her research and expanding her collaborative networks, she will undoubtedly continue to make groundbreaking contributions to developmental biology. Chanchal is highly deserving of the Best Researcher Award, as her work shows immense promise for furthering scientific knowledge and advancing innovations in health and medicine.

Publication Top Notes

  • Choudhary, C., & Saran, S. (2024). In silico analysis of translationally-controlled tumor proteins of social amoeba Dictyostelium discoideum. Biospectra, 19(1), 25–32. ISSN: 0973-7057. DOI: 10.5281/zenodo.14062730.

 

  • Choudhary, C., Jain, B., & Saran, S. (2024). Analyzing the functions of translationally controlled tumor protein 2 during growth, development, and autophagy of Dictyostelium discoideum. Experimental Cell Research. DOI: 10.1016/j.yexcr.2024.114400.

 

Ensiyeh Jenabi | Medicine| Best Researcher Award

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Assist. Prof. Dr. Ensiyeh Jenabi | Medicine| Best Researcher Award

Assistant Professor, Hamadan University of Medical Sciences, Iran

Ensiyeh Jenabi is an Iranian researcher and academic in midwifery, specializing in reproductive health. With a B.Sc. and M.Sc. in Midwifery from Hamadan and Tabriz Universities, respectively, she earned her Ph.D. in Reproductive Health from Hamadan University of Medical Sciences. Dr. Jenabi currently serves as a faculty member, teaching research methods and menopause courses at both MSc and PhD levels since 2017. She is an active member of the Autism Spectrum Disorders Research Center and the Mother and Child Care Research Center at Hamadan University of Medical Sciences, contributing to advancements in women’s health. 🌍💡

Publication Profile

Google Scholar

🎓 Education

B.Sc. in Midwifery, Hamadan University of Medical Sciences 🇮🇷. M.Sc. in Midwifery, Tabriz University of Medical Sciences 🇮🇷. Ph.D. in Reproductive Health, Hamadan University of Medical Sciences

💼 Experience

Faculty Member, Hamadan University of Medical Sciences, since 2017 . Researcher, Autism Spectrum Disorders Research Center, since 2018.  Researcher, Mother and Child Care Research Center, since 2018 . Member, Research in Education Committee at EDC, Hamadan University, since 2018 .

🏆 Awards & Honors

Recognized for outstanding research contributions in reproductive health.  Awarded various academic grants for research on women’s health.  Honored as a prominent reviewer for prestigious health journals .

🔬 Research Focus

Dr. Jenabi’s research primarily focuses on reproductive health, menopause, maternal and child care, and autism spectrum disorders. She is dedicated to advancing evidence-based practices in midwifery and women’s health through her ongoing studies and collaborations.

Conclusion

Ensiyeh Jenabi stands out as an accomplished researcher in reproductive health, making substantial contributions to both teaching and research at the Hamadan University of Medical Sciences. Her work in the domains of maternal health, menopausal care, and autism spectrum disorders shows her dedication to improving public health. With continued efforts to expand her research network and collaboration, she is poised to make even greater strides in her field, making her a strong contender for the Best Researcher Award.

Publication Top Notes

  • Factors associated with in-hospital death in patients with nosocomial infections: a registry-based study using community data in western Iran
    • Year: 2020
    • Authors: S Khazaei, E Ayubi, E Jenabi, S Bashirian, M Shojaeian, L Tapak
    • Citation: 11
  • Placenta previa after prior abortion: a meta-analysis
    • Year: 2017
    • Authors: M Karami, E Jenabi
    • Citation: 11
  • The association between hot flushes and smoking in midlife women: a meta-analysis
    • Year: 2015
    • Authors: E Jenabi, J Poorolajal
    • Citation: 11
  • The environmental risk factors associated with ectopic pregnancy: An umbrella review
    • Year: 2023
    • Authors: E Jenabi, E Ayubi, S Khazaei, AR Soltanian, AM Salehi
    • Citation: 9
  • COVID-19 prevention behaviors among health staff: data from a large survey in the west of Iran
    • Year: 2021
    • Authors: S Bashirian, S Khazaei, M Barati, E Jenabi, AR Soltanian, S Shirahmadi, …
    • Citation: 9
  • Etiology and outcome of burns in Hamadan, Iran: a registry-based study
    • Year: 2019
    • Authors: S Khazaei, F Shirani, M Afshari, E Jenabi, Z Hamzei, M Torabi, T Bathaei
    • Citation: 9
  • Maternal Smoking and the Risk of Placenta Accreta Spectrum: A Systematic Review and Meta‐Analysis
    • Year: 2022
    • Authors: E Jenabi, AM Salehi, SZ Masoumi, A Maleki
    • Citation: 8
  • Reinforcement and Maintenance of Human Resources for Health Systems during Long‐Term Crises: A Systematic Review of Systematic Reviews
    • Year: 2021
    • Authors: AM Salehi, S Khazaei, M Masumi, F Shavandi, M Kavand, E Jenabi, …
    • Citation: 8
  • Assessment of mask-wearing adherence and social distancing compliance in public passengers in Hamadan, Iran, during the COVID-19 pandemic
    • Year: 2021
    • Authors: AR Soltanian, T Omidi, S Khazaei, S Bashirian, R Heidarimoghadam, …
    • Citation: 8
  • Effect of Vitamin E on Reduction of Muscle Pain in Students with Premenstrual Syndrome
    • Year: 2014
    • Authors: F Shabiri, E Jenabi
    • Citation: 8

 

 

Sahar Heidari | Landscape Ecology| Women Researcher Award

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Dr. Sahar Heidari | Landscape Ecology| Women Researcher Award

Researcher, Iranian Forest and Rangeland Research Institute, Iran

Sahar Heidari Masteali is a distinguished environmental engineer and researcher specializing in natural resources and environmental evaluation. Born in 1987, she earned her Bachelor’s, Master’s, and PhD degrees in Natural Resources Engineering from Ferdowsi University of Mashhad and University of Tehran, Iran. With a passion for environmental sustainability, Sahar has contributed significantly to research in landscape evaluation, water quality, and biodiversity. She has authored numerous scientific articles published in prestigious journals and participated in various research projects. Sahar is recognized for her expertise in software tools such as ArcGIS, SPSS, and R. She is also an active member of the National Elite Foundation and a winner of multiple awards, including the Shahid Tehrani Moghadam Award in 2023.

Publication Profile

Google Scholar

🎓 Education

PhD: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2022). Master’s: Natural Resources Engineering – Environmental Evaluation, University of Tehran, Iran (2014). Bachelor’s: Environmental Natural Resources Engineering, Ferdowsi University of Mashhad, Iran (2009) Sahar achieved outstanding academic success, ranking first in national exams for both Master’s and PhD admissions. Her thesis work has focused on environmental modeling and landscape evaluation, contributing to her expertise in environmental sustainability.

💼 Experience

Sahar’s experience includes key research roles in various environmental projects. She has worked on ecological vulnerability assessments, environmental degradation models, and biodiversity studies. She collaborated with the University of Tehran and other research institutes on projects focused on forest management, ecological restoration, and the effects of tourism on ecosystems. Sahar’s proficiency with GIS, statistical analysis, and modeling software has enabled her to contribute to impactful projects in environmental protection and sustainable resource management.

🏆 Awards & Honors

Shahid Tehrani Moghadam Award (2023) from the National Elite Foundation. Master’s Entrance Exam Rank 1. PhD Specialized Exam Rank 1. Winner of various academic honors, including a research excellence award in 2015 and funding for numerous research projects. Member of the National Elite Foundation Sahar’s academic excellence and contributions to environmental research have earned her recognition, including prestigious national awards and honors in the field of environmental sciences.

🔬 Research Focus

Sahar’s research interests lie in environmental evaluation, modeling the effects of landscape corridors on water quality, and biodiversity in natural forests. She has studied the impact of forest connectivity on river water quality and has developed models for assessing ecological vulnerability. Sahar also explores the intersection of biotic and abiotic factors in forest ecosystems, applying machine learning for biodiversity assessments. Her work aims to improve sustainable land use practices and ecological conservation, focusing on landscapes in the Caspian Sea Basin and northern Iran.

Conclusion

Sahar Heidari Masteali is a highly deserving candidate for the Women Researcher Award due to her significant contributions to environmental research and her leadership in sustainable solutions. With her continued growth in international collaboration and research visibility, she is poised to make an even more profound impact in her field. The award would not only recognize her exceptional achievements but also encourage the further development of her valuable contributions to environmental sciences.

Publication Top Notes

  • Title: Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
    Authors: M Bayat, P Bettinger, S Heidari, A Henareh Khalyani, M Jourgholami, …
    Journal: Forests
    Volume & Issue: 11 (3), 324
    Year: 2020

 

  • Title: Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple linear regression, and empirical models
    Authors: M Bayat, P Bettinger, M Hassani, S Heidari
    Journal: Forestry: An International Journal of Forest Research
    Volume & Issue: 94 (4), 598-609
    Year: 2021

 

  • Title: A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
    Authors: M Bayat, P Bettinger, S Heidari, SK Hamidi, A Jaafari
    Journal: Forests
    Volume & Issue: 12 (11), 1450
    Year: 2021

 

  • Title: Assessing biotic and abiotic effects on biodiversity index using machine learning
    Authors: M Bayat, H Burkhart, M Namiranian, SK Hamidi, S Heidari, M Hassani
    Journal: Forests
    Volume & Issue: 12 (4), 461
    Year: 2021
  • Title: Evaluation and comparison of biodiversity indexes of tree species in Hyrcanian forests (case study: Kheyroud, Ramsar and Neka forests)
    Authors: S Heidari Masteali
    Journal: Journal of Plant Research (Iranian Journal of Biology)
    Volume & Issue: 34 (2), 315-326
    Year: 2021

 

  • Title: Modeling tree growth responses to climate change: a case study in natural deciduous mountain forests
    Authors: M Bayat, T Knoke, S Heidari, SK Hamidi, H Burkhart, A Jaafari
    Journal: Forests
    Volume & Issue: 13 (11), 1816
    Year: 2022

 

  • Title: Comparison between graph theory connectivity indices and landscape connectivity metrics for modeling river water quality in the southern Caspian sea basin
    Authors: Sahar Heidari, Pete Bettinger, Mahmoud Bayat, Bahman Jabbarian
    Journal: Journal of Environmental Management
    Volume & Issue: 328
    Year: 2023

 

  • Title: Projection matrix models: a suitable approach for predicting sustainable growth in uneven-aged and mixed Hyrcanian forests
    Authors: A Salehnasab, HE Burkhart, M Bayat, B Khaleghi, S Heidari, …
    Journal: Sustainability
    Volume & Issue: 14 (11), 6777
    Year: 2022

 

  • Title: Investigating the spatial distribution of parks and urban green space areas in Khomein using landscape approach and Sentinel-2 satellite images
    Authors: M Bagheri, A Ansari, A Kazemi, M Bayat, S Heidari Masteali
    Journal: Scientific-Research Quarterly of Geographical Data (SEPEHR)
    Volume & Issue: 30 (118), 203-216
    Year: 2021

 

  • Title: Effects of different concentrations of nitrate and ammonium in medium on growth of the green algae Scenedesmus quadricauda
    Authors: S Heidari, O Farhadian, NM Soofiani
    Journal: Journal of Fisheries
    Volume & Issue: 64 (1)
    Year: 2011

 

  • Title: Recreation potential assessment at Tamarix forest reserves: A method based on multicriteria evaluation approach and landscape metrics
    Authors: M Bayat, P Bettinger, SH Masteali, SK Hamidi, HU Masood Awan, …
    Journal: Forests
    Volume & Issue: 14 (4), 705
    Year: 2023

 

  • Title: Ten-year estimation of Fagus orientalis Lipsky increment using artificial neural networks model and multiple linear regression Ramsar forests
    Authors: M Bayat, M Hassani, S Heidari
    Journal: Forest Research and Development
    Volume & Issue: 6 (3), 381-394
    Year: 2020

 

  • Title: Investigating structure monitoring indicators for wooden species of Northern forests of Iran
    Authors: S Babaie, M Bayat, M Namiranian, S Heidari Masteali
    Journal: Journal of Wood and Forest Science and Technology
    Volume & Issue: 25 (2), 65-80
    Year: 2018

 

 

 

 

Azam Modares | Supply chain | Best Faculty Award

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Dr. Azam Modares | Supply chain | Best Faculty Award

Management, Ferdowsi university of Mashhad Iran

Azam Modares is an accomplished industrial management expert with a Ph.D. in Industrial Management from Ferdowsi University of Mashhad. Specializing in Operations Research, he has developed a deep understanding of mathematical modeling, system dynamics, and supply chain management. Modares is known for his extensive expertise in areas like machine learning, inventory control, and human reliability. He is also proficient in multiple modeling languages and software tools, including UML, BPMN, Matlab, and Arena. With a passion for teaching, Modares has contributed significantly to academic development, teaching numerous courses related to industrial management, operations research, and project management.

Publication Profile

Scopus

Google Scholar

🎓 Education

Ph.D. in Industrial Management – Ferdowsi University of Mashhad (Specialization: Operations Research). Master’s in Industrial Management – University of Guilan (Specialization: Production). Bachelor’s in Industrial Management – University of Tehran His academic journey reflects a profound commitment to research and practical application in the field of industrial management, with particular focus on optimizing operations and systems using mathematical and computational methods.

💼 Experience

Azam Modares has an extensive career in both academia and industry. He has taught various courses in industrial management, operations research, and business process management at the undergraduate level. His work also spans the design and implementation of quantitative models and the application of machine learning to solve complex industrial problems. Modares has worked in the development of rule-based inference systems and the analysis of supply chain dynamics. He is proficient in using software like GAMS, Lingo, and SPSS for modeling and statistical analysis.

🏆 Awards & Honors

Modares has received several prestigious awards, including the Best Paper Award in Operations Research, Research Excellence Award for outstanding contributions in academic research, and Best Educator awards for his exceptional teaching in industrial management. He also earned recognition for his leadership in project management and excellence in quantitative modeling and simulation. His accomplishments highlight his deep impact on both academic and practical advancements in industrial management.

🔬 Research Focus

Azam Modares’s research primarily focuses on system dynamics, inventory control, machine learning applications in industrial settings, and equipment and human reliability. He explores business process management and aims to optimize supply chain systems through mathematical and computational modeling. His work addresses real-world industrial challenges, particularly in the design of efficient decision-making systems and the integration of AI technologies into operations research. Modares also investigates rule-based inference systems to improve management processes.

Conclusion

Azam Modares exhibits a well-rounded profile that highlights significant strengths in teaching, technical skills, and research. His robust academic qualifications, coupled with a comprehensive understanding of industrial management and operations research, position him as a strong candidate for the Best Faculty Award. However, improving his research output and enhancing international collaborations could further elevate his standing in the academic community and broaden the impact of his work.

Publication Top Notes

  • Title: A new supply chain design to solve supplier selection based on internet of things and delivery reliability
    Authors: A Modares, M Kazemi, VB Emroozi, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (11), 7993-8028
    Year: 2023

 

  • Title: A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (5), 3075-3106
    Year: 2023

 

  • Title: A new model to design the suppliers portfolio in newsvendor problem based on product reliability
    Authors: A Modares, NM Farimani, VB Emroozi
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (6), 4112-4151
    Year: 2023

 

  • Title: Selecting green suppliers by considering the internet of things and CMCDM approach
    Authors: V Bafandegan Emroozi, P Roozkhosh, A Modares, F Roozkhosh
    Journal: Process Integration and Optimization for Sustainability
    Volume & Issue: 7 (5), 1167-1189
    Year: 2023

 

  • Title: Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making
    Authors: A Modares, N Motahari, V Bafandegan Emroozi
    Journal: Industrial Management Journal
    Volume & Issue: 14 (1), 115-142
    Year: 2022

 

  • Title: Application of particle swarm optimization algorithm to aggregate production planning
    Authors: M Ramazanian, A Modares
    Journal: Asian Journal of Business Management Studies
    Volume & Issue: 2 (2), 44-54
    Year: 2011

 

  • Title: A new vendor-managed inventory four-tier model based on reducing environmental impacts and optimal suppliers selection under uncertainty
    Authors: A Modares, NM Farimani, F Dehghanian
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (1), 188-220
    Year: 2024

 

  • Title: Evaluate and control the factors affecting the equipment reliability with the approach Dynamic systems simulation, Case study: Ghaen Cement Factory
    Authors: A Modares, V Bafandegan Emroozi, Z Mohemmi
    Journal: Journal of Quality Engineering and Management
    Volume & Issue: 11 (2), 89-106
    Year: 2021

 

  • Title: A new dynamic model to optimize the reliability of the series-parallel systems under warm standby components
    Authors: AMF Saghih, A Modares
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 19 (1), 376-401
    Year: 2022

 

  • Title: Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran)
    Authors: A Modares, N Motahari Farimani, V Bafandegan Emroozi
    Journal: Journal of Optimization in Industrial Engineering
    Volume & Issue: 16 (1), 129-140
    Year: 2023

 

  • Title: A new model to optimize the human reliability based on CREAM and group decision making
    Authors: V Bafandegan Emroozi, A Modares, P Roozkhosh
    Journal: Quality and Reliability Engineering International
    Volume & Issue: 40 (2), 1079-1109
    Year: 2024

 

  • Title: Improving quality and reducing costs in supply chain: The developing VIKOR method and optimization
    Authors: VB Emroozi, M Kazemi, A Modares, P Roozkhosh
    Journal: Journal of Industrial and Management Optimization
    Volume & Issue: 20 (2), 494-524
    Year: 2024

 

 

 

 

 

 

 

 

 

Nidhi Sinha | Cognitive Psychology | Young Scientist Award

Published on by Young Scientists Awards

Ms. Nidhi Sinha | Cognitive Psychology | Young Scientist Award

PhD in Psychology, Indian Institute of Technology Hyderabad (IITH), India

Nidhi Sinha is a Cognitive Psychologist pursuing a Ph.D. at IIT Hyderabad, specializing in emotion perception using virtual reality and physiological measures. Her academic journey began with an M.Phil. in Psychology at IIT Hyderabad, where she earned the Institute Silver Medal. Nidhi has worked as a visiting research scholar and research volunteer, contributing to cognitive science projects at IIIT Hyderabad and the University of Hyderabad. She has extensive experience working on emotional perception, cognitive development, and mental health, with a focus on psychosis, emotion recognition, and VR applications. Nidhi’s research aims to explore the intersection of cognitive processes and mental health using innovative tools like VR and EDA. She has also contributed to various publications and conferences on mental health, attention networks, and cognitive biases.

Publication Profile

Google Scholar

🎓 Education

Nidhi Sinha holds a Ph.D. in Cognitive Psychology from IIT Hyderabad, where she conducted research on emotion perception using virtual reality and physiological measures. She also earned an M.Phil. in Psychology from IIT Hyderabad, securing an impressive CGPA of 9.75 and receiving the Institute Silver Medal. Nidhi’s journey in higher education began with a Master of Arts in Applied Psychology from Lovely Professional University (LPU), where she achieved a CGPA of 9.96 and was awarded the University Gold Medal. Her academic pursuits have revolved around cognitive sciences, emotion recognition, and mental health. Nidhi has also contributed to various research projects and gained hands-on experience through internships and collaborations with renowned institutions like the University of Hyderabad and IIIT Hyderabad. This strong academic foundation has paved the way for her innovative research and publications in the field of cognitive psychology.

💼 Experience

Nidhi Sinha’s research and teaching experience spans multiple esteemed institutions. As a Ph.D. candidate at IIT Hyderabad, Nidhi has focused on emotion perception and attentional control, collaborating with leading scientists in the field. Her role as a visiting research scholar at IIIT Hyderabad’s Cognitive Science Lab allowed her to delve deeper into understanding the cognitive aspects of emotional processing. Nidhi’s experience also includes internships at the University of Hyderabad’s Center for Neural and Cognitive Sciences, where she honed her skills in experimental techniques like eye tracking. She has worked on projects involving mental health at ASHA Hospital and has contributed to clinical research at NIMHANS, where she provided Cognitive Behavioral Therapy (CBT). Additionally, Nidhi has volunteered for research projects in user engagement at IIT Hyderabad’s Department of Computer Science and has served as a teaching assistant, assisting in preparing lectures and academic assessments for postgraduate courses.

🏆 Awards & Honors

Nidhi Sinha has earned numerous accolades for her outstanding academic achievements and contributions to research. She was awarded the Institute Silver Medal for her exceptional performance in M.Phil. Psychology at IIT Hyderabad. Nidhi also received the University Gold Medal during her Master’s in Applied Psychology at LPU, where she achieved the highest CGPA of 9.96. In recognition of her groundbreaking work, Nidhi was honored with the “Early Career Research Award” from the Science and Engineering Research Board (SERB) in 2017. Her significant contributions to mental health research have earned her several opportunities to collaborate internationally. Nidhi’s research has been featured in prestigious journals, and she has presented her work at multiple conferences. Her dedication to advancing knowledge in cognitive psychology and mental health earned her recognition as an expert reviewer for various academic platforms, including APS, Psychosis, and IGI Publishers.

🔬 Research Focus

Nidhi Sinha’s research focuses on emotion perception, cognitive processes, and mental health, particularly within the realms of cognitive psychology and affective computing. Her Ph.D. research at IIT Hyderabad explores how virtual reality (VR) and physiological measures, such as electrodermal activity (EDA) and photoplethysmogram (PPG), can assess emotional responses in individuals. She is particularly interested in how attention networks are disrupted in mood disorders like depression and how these cognitive networks influence emotional regulation. Nidhi’s work has also extended to understanding the experiences of individuals with auditory verbal hallucinations (AVH), a common symptom in psychiatric conditions like schizophrenia. By using tools like VR, EDA, and eye tracking, Nidhi investigates how cognitive biases and attentional control mechanisms contribute to mental health disorders. Her research aims to innovate psychological assessments and improve mental healthcare by integrating modern technologies, such as VR, with traditional diagnostic tools. Nidhi has contributed to various interdisciplinary research projects, focusing on improving cognitive assessments in clinical settings.

📝Conclusion

Nidhi Sinha’s strong academic and research credentials, coupled with her interdisciplinary approach and innovative contributions to cognitive psychology and technology, make her an excellent candidate for the Young Scientist Award. Her research has the potential to significantly impact the fields of mental health and emotion recognition, particularly in integrating virtual reality and physiological measures. With continued growth in interdisciplinary collaborations and global research visibility, she is poised to make even more significant contributions to the scientific community.

Publication Top Notes

  • Title: Stress and worry in the 2020 coronavirus pandemic: Relationships to trust and compliance with preventive measures across 48 countries in the COVIDiSTRESS global survey
    Authors: A Lieberoth, SY Lin, S Stöckli, H Han, M Kowal, R Gelpi, S Chrona, et al.
    Journal: Royal Society Open Science
    Volume & Issue: 8 (2), 200589
    Year: 2021
  • Title: COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Scientific Data
    Volume & Issue: 8 (1), 3
    Year: 2021
  • Title: Introducing gamification for advancing current mental healthcare and treatment practices
    Author: N Sinha
    Book Title: IoT in Healthcare and Ambient Assisted Living, 223-241
    Year: 2021
  • Title: What networks of attention are affected by depression? A meta-analysis of studies that used the attention network test
    Authors: N Sinha, S Arora, P Srivastava, RM Klein
    Journal: Journal of Affective Disorders Reports
    Volume & Issue: 8, 100302
    Year: 2022
  • Title: Affective computing and emotion-sensing technology for emotion recognition in mood disorders
    Author: N Sinha
    Book Title: Enhanced Telemedicine and e-Health: Advanced IoT Enabled Soft Computing
    Year: 2021
  • Title: Understanding the effects of unemployment in Indian graduates: Psychological, financial and social perspectives
    Author: N Sinha
    Journal: Psychological Studies
    Volume: 63, 315-324
    Year: 2018
  • Title: Using virtual reality in college student mental health treatment
    Author: N Sinha
    Book Title: Current and Prospective Applications of Virtual Reality in Higher Education
    Year: 2021
  • Title: Living with voices: A thematic analysis of individuals’ experiences of voice-hearing in India
    Authors: N Sinha, S Ranganathan
    Journal: Psychosis
    Volume & Issue: 12 (2), 115-127
    Year: 2020
  • Title: Global Mental Health Movement: Need for a cultural perspective
    Author: N Sinha
    Journal: Indian Journal of Medical Ethics
    Year: 2023
  • Title: Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies
    Authors: N Sinha, P Srivastava, MP Ganesh
    Book Title: Affective Computing for Social Good: Enhancing Well-being, Empathy, and …
    Year: 2024
  • Title: Student Notebook: Beginning Your Collaborative Writing Journey
    Author: N Sinha
    Journal: APS Observer
    Volume: 36
    Year: 2023
  • Title: An evaluation on existential crisis of Filipinos during the COVID-19 pandemic crisis
    Authors: Y Yamada, DB Ćepulić, T Coll-Martín, S Debove, G Gautreau, H Han, et al.
    Journal: Frontiers in Psychology
    Year: 2021
  • Title: Political Cognition: The Unconscious Mechanisms Underlying Political Beliefs and Action
    Author: N Sinha
    Book Title: The Psychology of Political Behavior in a Time of Change, 235-246
    Year: 2021
  • Book Review: J. Bargh: Before You Know It: The Unconscious Reasons We Do What We Do
    Author: N Sinha
    Journal: Psychological Studies
    Volume & Issue: 65 (1), 97-99
    Year: 2020
  • Title: Women in the asylum: Understanding the medicalization and kinship in Indian psychiatric care
    Author: N Sinha
    Journal: Journal of Community & Applied Social Psychology
    Volume & Issue: 28 (5), 378-381
    Year: 2018
  • Title: Listening To The Voices: A Qualitative Study Of The Experiences Of Hearing Voices In Individuals With Auditory Hallucinations
    Authors: N Sinha, S Ranganathan
    Institution: Indian Institute of Technology Hyderabad
    Year: 2018

 

 

 

 

 

 

Nüveyre Canbolat | Inorganic | Best Researcher Award

Published on by Young Scientists Awards

Ms. Nüveyre Canbolat | Inorganic | Best Researcher Award

Research Assistance, Gazi Üniversity Turkey

Nuveyre Canbolat is a Research Assistant in Inorganic Chemistry at Gazi University, with expertise in both theoretical and synthetic chemistry. Her research spans various domains, from Quantum Chemistry to Biophysics, and she has developed an interest in computational chemistry and machine learning applications. In 2021, she founded RIASEARCH, a chemical software company, aiming to advance these areas. She was awarded a government scholarship in 2024 for her PhD in hydrogen and fuel cell research, building on her master’s thesis. With diverse experiences in industry and academia, she is committed to bridging the gap between theoretical research and practical applications.

Publication Profile

Orcid

🎓 Education

Nuveyre Canbolat holds an MSc in Chemistry from Bilkent University (2016-2018), with a thesis on the synthesis and characterization of silver phosphate as a photocatalyst. She earned a BS in Chemistry from the same university in 2016, graduating second in her class with a GPA of 3.79/4.00. During her academic journey, she also received financial support for research projects, including work on metal phosphates for energy storage and sulfonylureas as ALS enzyme inhibitors, under renowned professors at Bilkent.

💼 Experience

Nuveyre Canbolat is the founder of RIASEARCH Chemical Software Company (2021-present), specializing in chemical software and algorithms. She has served as a Research and Teaching Assistant at Gazi University since 2018, teaching General Chemistry, Inorganic Chemistry, and Analytical Chemistry, while conducting research in the same areas. Previously, she worked as a Research Assistant at Bilkent University (2016-2018), where she focused on Quantum Chemistry and Inorganic Chemistry courses. Her summer internships included research at Greifswald University’s Department of Biophysics and TAI, Turkish Aerospace Industry, where she studied material properties.

🏆 Awards & Honors

Nuveyre Canbolat has received various honors during her academic career, including a full government scholarship in 2024 to pursue PhD research on hydrogen and fuel cells. She ranked second in her graduating class at Bilkent University and received financial support for several research projects, including one from TUBITAK. Additionally, her research work, including the synthesis of metal phosphates and sulfonylureas, has been recognized at national and international conferences, with several published articles in peer-reviewed journals.

🔬 Research Focus

Nuveyre Canbolat’s research focuses on inorganic chemistry, computational chemistry, and machine learning applications. She has worked on the synthesis and characterization of metal phosphates for energy storage, photocatalysis, and hydrogen-related technologies. Her current research includes the development of sulfonylureas as ALS enzyme inhibitors and the exploration of hydrogen fuel cells. She also conducts molecular docking studies to understand enzyme inhibition and drug design. As a founder of RIASEARCH, she aims to integrate software development with chemical research for more effective simulations and solutions.

Conclusion

Nuveyre Canbolat is a highly skilled and promising researcher whose background in inorganic chemistry, machine learning, and computational applications positions him as a valuable contributor to the field. His innovative research, entrepreneurial efforts, and academic achievements make him an excellent candidate for the Best Researcher Award. With continued dedication to expanding his international collaborations and enhancing his research output, Canbolat is poised to become a leading figure in his field, driving forward advancements in both scientific discovery and applied technologies.

Publication Top Notes

Title: Sulfonyl hydrazone derivatives containing acetonaphthone as anticholinesterase inhibitors for the treatment of Alzheimer’s: X-ray single-crystal analysis, and multifaceted theoretical calculations
Journal: Journal of Molecular Structure
Publication Date: December 2024
DOI: 10.1016/j.molstruc.2024.139311
Contributors: Ümmühan Özdemir Özmen, Saliha Alyar, Esra Bilen Ayan, Nüveyre Canbolat, Fatma Hamurcu, Hamit Alyar, Sinan Mithat Muhammet, Kerem Kaya