Sukhjot Kaur | Positive Psychology | Excellence in Research

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Ms. Sukhjot Kaur | Positive Psychology | Excellence in Research

Assistant Professor, Akal University Talwandi Sabo

Sukhjot Kaur is a dedicated research scholar in Psychology at Akal University, specializing in mental health, emotional intelligence, and social psychology.   With a passion for teaching, mentoring, and research, she actively contributes to academia by guiding students, presenting at international conferences, and publishing in reputed journals.   A gold medalist in her undergraduate studies, she has secured multiple academic accolades and has presented research on cyberbullying, mental health, and spirituality in cancer patients.   She has also qualified GATE 2024 and gained professional certifications in Neuro-Linguistic Programming and Clinical Psychology.   Actively involved in faculty development programs, international collaborations, and community engagement, she continues to make strides in positive psychology and well-being research.   Her interests extend beyond academia, including music, calligraphy, and volleyball, reflecting a well-rounded personality.

profile

Orcid

🎓 Education

Sukhjot Kaur has an outstanding academic record, beginning with her schooling at Akal Academy, Baru Sahib, where she secured a 9 CGPA in Class X (2015) and 92.6% in Class XII (2017). She then pursued her B.A. (Honors) in Psychology at Akal University (2017-2020), graduating with an 8.6 CGPA and earning a gold medal for academic excellence. She continued her education at Akal University, completing her M.A. (Honors) in Psychology in 2022 with an exceptional 9.5 CGPA, securing another gold medal. Currently, she is pursuing a Ph.D. in Psychology (2022–present) at Akal University, where her research focuses on mental health, religiosity, spirituality, and quality of life among cancer patients. Her commitment to academic excellence is further demonstrated through her active research engagements, multiple publications in Scopus-indexed journals, and participation in national and international conferences, making significant contributions to the field of psychology.

💼 Experience 

Sukhjot Kaur has been actively engaged as a Research Scholar at Akal University since 2022, where she contributes to academic research and undergraduate teaching. She has taught subjects such as Psychology of Individual Differences, Emotional Intelligence, Social Psychology, and Health Psychology. Her teaching methodology emphasizes critical thinking, student engagement, and the application of psychological theories to real-life scenarios. She has guided students in research projects, fostering their analytical and methodological skills. In addition to her academic responsibilities, Sukhjot has participated in various research collaborations and interdisciplinary projects, enhancing her expertise in psychological research and data analysis. She has also been involved in workshops and faculty development programs, continuously refining her teaching and research methodologies. Through her dedication to academia, she aims to create a positive impact in the field of psychology by integrating innovative instructional techniques with rigorous scientific research.

🏆 Awards & Honors 

Sukhjot Kaur has received several accolades for her academic and research excellence. She qualified for GATE 2024, demonstrating her strong analytical and reasoning abilities. She was honored with the Academic Excellence Award by Akal University for her outstanding performance in psychology. She is a certified practitioner of Neuro-Linguistic Programming and has completed an online internship in Clinical Psychology at Fortis Mental Health Care. She successfully completed a Graphology Course under “Socially Souled” and actively participated in various national and international research workshops. She contributed to the World’s Largest Drug Awareness Campaign, recognized by the London Book of World Records. She attended faculty development programs, including a National Level Research Methodology Workshop at PPG College of Arts and Science. Additionally, she has been invited as a speaker and presenter at prestigious academic conferences, further solidifying her status as a promising psychology researcher and educator.

🔬 Research Focus 

Sukhjot Kaur’s research focuses on mental health, religiosity, spirituality, and quality of life, particularly in cancer patients. She has explored the psychological impact of death attitudes, fear of mortality, and flourishing among patients diagnosed with terminal illnesses. Her work also examines the influence of religiosity and spirituality on mental well-being, analyzing their effects on resilience, stress management, and coping mechanisms. She has conducted bibliometric reviews and systematic analyses on these topics, contributing to a deeper understanding of psychological well-being. Additionally, her research extends to the mental health impact of COVID-19 on the elderly, cyberbullying and adolescent mental health, and the relationship between social media addiction and sleep quality. Her work is published in Scopus-indexed and UGC-Care listed journals, and she has presented papers at national and international conferences, highlighting her commitment to advancing psychological research and its real-world applications.

 

🏆 Conclusion

 

BASAVARAJAIAH S M | Medicinal Chemistry | Best Researcher Award

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Dr. BASAVARAJAIAH S M | Medicinal Chemistry | Best Researcher Award

Assistant Pfessorro, Vijaya College, Bangalore

Dr. Basavaraijaiah S. M. is an accomplished chemist with 15 years of teaching and industrial research experience. He has published extensively in national and international journals, authored books, book chapters, and holds patents. Currently, he serves as Coordinator of the P.G. Department of Chemistry at Vijaya College, Bangalore. He has held positions as an Assistant Professor and Principal Scientist in leading institutions and industries. His research focuses on the synthesis and biological activities of heterocyclic compounds. Recognized globally, he is among Stanford University’s Top 2% Scientists (2024). He is an editorial board member for several reputed journals, including Discover Applied Sciences and Journal of Chemistry. Dr. Basavaraijaiah has guided numerous postgraduate students and successfully led funded research projects. He actively organizes national and international chemistry conferences and serves as a BOS and BOE member for various universities, contributing significantly to chemical sciences and education.

Scholar

profile

🎓 Education 

Dr. Basavaraijaiah S. M. holds a Ph.D. in Chemistry (2009) from Gulbarga University, specializing in the synthesis and biological activities of heterocyclic compounds. He completed his M.Sc. in Chemistry (2004) from the same institution and earned his B.Sc. (2002) from Kottureshwara College, Karnataka. His academic journey laid the foundation for his expertise in organic synthesis and medicinal chemistry. Throughout his education, he developed a strong research aptitude, which later led to significant contributions in chemistry through publications, patents, and research projects. His doctoral research focused on nitrogen, oxygen, and sulfur-containing heterocycles, advancing knowledge in pharmaceutical chemistry. Postdoctoral studies at IIT Kanpur further refined his expertise. His academic credentials and continuous learning have positioned him as an authority in chemical sciences, mentoring students and advancing research in organic chemistry.

💼 Experience 

Dr. Basavaraijaiah S. M. has held key academic and industrial positions, currently serving as Coordinator of the P.G. Department of Chemistry at Vijaya College, Bangalore (since 2017). Previously, he was an Assistant Professor at the same institution (2014-2017). His industry experience includes roles as Principal Scientist at Skanda Life Sciences (2013-2014), Senior Scientist (2011-2013), and Group Leader (2010-2011) at LGC Promochem India Pvt. Ltd. He was a Postdoctoral Fellow at IIT Kanpur (2009-2010), enhancing his research in organic chemistry. Earlier, he worked as a Guest Lecturer at Gulbarga University (2007-2008) and as a Trainee Chemist at VB Medicare Pvt. Ltd. (2004-2005). His diverse career integrates academic excellence with industrial applications, contributing to education, research, and scientific advancements.

🏆 Awards & Honors

Dr. Basavaraijaiah S. M. has received global recognition, including being listed among Stanford University’s Top 2% Scientists (2024). His research has earned an H-index of 20 with over 1,400 citations. He has secured multiple grants, including VGST-SPICE funding (2015-16) and a UGC Minor Research Project (₹5 lakh, 2016-2018). He has guided 25 postgraduate students in research and successfully organized several national and international chemistry webinars and workshops. His editorial roles include serving on the boards of Discover Applied Sciences (Springer), Journal of Chemistry (Wiley), and Arkivoc Journal (Arkat USA). Additionally, he is an editorial advisor for Cambridge Scholars Publishing, UK. His contributions to chemical sciences, education, and research have made a significant impact, establishing him as a leader in his field.

🔬 Research Focus

Dr. Basavaraijaiah S. M.’s research focuses on the synthesis and biological activities of heterocyclic compounds, particularly nitrogen, oxygen, and sulfur-based derivatives. His work explores medicinal chemistry applications, aiming to develop novel therapeutic agents. He is actively involved in organic synthesis, green chemistry, and catalytic processes. His contributions extend to drug discovery, material sciences, and sustainable chemistry. He has authored numerous high-impact publications, patents, and book chapters, advancing knowledge in pharmaceutical and industrial chemistry. His research collaborations include academia and industry, fostering innovation in chemical sciences. His expertise in heterocyclic synthesis has led to significant developments in bioactive compounds with potential pharmaceutical applications. He continues to mentor postgraduate students and engage in cutting-edge research, pushing the boundaries of chemistry.

Conclusion

Dr. Basavaraiaiah S. M. is a highly qualified and accomplished researcher with strong credentials in academia, research, and editorial roles. His global recognition, project funding, and research impact make him a strong contender for the Best Researcher Award. Strengthening industry collaborations, international partnerships, and high-impact publications could further solidify his candidacy.

publication

Title: Therapeutic potential of pyrrole and pyrrolidine analogs: an update
Author(s): N Jeelan Basha, S M Basavarajaiah, K Shyamsunder
Year: 2022
Citation: 126

Title: A comprehensive insight on the biological potential of embelin and its derivatives
Author(s): N J Basha, S M Basavarajaiah, S Baskaran
Year: 2022
Citation: 38

Title: Exploration of Indolo [3, 2c] isoquinoline derived triazoles as potential antimicrobial and DNA cleavage agents: synthesis, DFT calculations, and molecular modeling
Author(s): S M Basavarajaiah, J Badiger, N G Yernale, N Gupta
Year: 2023
Citation: 21

Title: Synthesis, spectral analysis, DFT calculations, biological potential and molecular docking studies of indole appended pyrazolo-triazine
Author(s): S M Basavarajaiah, G Y Nagesh, M Javeed, R Bhat
Year: 2023
Citation: 31

Title: Anticancer potential of bioactive molecule luteolin and its analogs: An update
Author(s): N J Basha, S M Basavarajaiah
Year: 2023
Citation: 18

Title: Investigating the molecular interactions of 11-substituted-1-(4-chlorophenyl)-8H-indolo [3, 2-c][1, 2, 4] triazolo [3, 4-a] isoquinolines for Antimicrobial Potential
Author(s): M Ahmed, R Nalini, S M Basavarajaiah
Year: 2024
Citation: 6

Title: Naphtho [2, 1-b] furan derived triazole-pyrimidines as highly potential InhA and Cytochrome c peroxidase inhibitors: synthesis, DFT calculations, drug-likeness profile
Author(s): K S Kiran, M Selvaraj, S M Basavarajaiah
Year: 2023
Citation: 21

 

Hui Xue | Additive manufacturing | Best Researcher Award

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Mr. Hui Xue | Additive manufacturing | Best Researcher Award

Assistant professor, Tiangong University

Dr. Hui Xue is a lecturer at Tiangong University, specializing in additive manufacturing, 3D printing, and machine learning applications in materials science. He earned his Ph.D. from the University of Science and Technology Beijing, focusing on high-performance computing in 3D printing. Previously, he worked as an engineer at CRRC Tangshan Co., Ltd., where he specialized in laser welding processes. Dr. Xue has published over 20 research papers in top-tier journals and holds 12 patents. His research contributes to the advancement of high-temperature and magnetic materials. He has received prestigious honors, including the Outstanding Graduate of Beijing award.

profile:

Scopus

🎓 Education

Ph.D. in Materials Science and Engineering, University of Science and Technology Beijing (2019–2023) | M.S. in Materials Science, Yanshan University (2013–2016) | B.S. in Mechanical Engineering, Xi’an Technological University (2009–2013)

👨‍🏫 Experience

Lecturer, Tiangong University (2023–Present) | Engineer, CRRC Tangshan Co., Ltd. (2016–2019), specializing in laser welding processes and advanced manufacturing

🏆 Awards & Honors

Outstanding Graduate of Beijing (2023) | National Scholarship for Doctoral Students (2022) | Multiple research grants for groundbreaking work in 3D printing and additive manufacturing

🔬 Research Focus

3D Printing & Machine Learning | High-Performance Computing via 3D Printing | Additive Manufacturing of High-Temperature & Magnetic Materials

🏗️ Research Projects

National Key R&D Program (China): High-Quality TiAl Alloy Powder Preparation & 3D Printing (2022–2025) | National Natural Science Foundation (China): Study on Strengthening Mechanisms in TiAl Alloys (2019–2023)

Conclusion

Dr. Hui Xue exhibits remarkable potential as a researcher, evidenced by his significant contributions to materials science and engineering. However, for prestigious “Best Researcher” awards, which often require extensive experience, demonstrated leadership, and widespread recognition, Dr. Xue may benefit from further career development. Focusing on expanding his research leadership, gaining more international exposure, and accumulating additional academic experience could strengthen his candidacy for such honors in the future.

publication:

A novel understanding of dislocation density effect on the corrosion resistance of 316L stainless steel with passive film nucleation growth kinetic calculation

  • Authors: Zhichao Che, Hui Xue, Jing Liu, Xiaogang Li, Chao Liu
  • Year: 2025
  • Citations: 0

Microstructure and mechanical properties of nano-WC/TA2 composites fabricated by directed energy deposition

  • Authors: Bin Wang, Jianbo Lei, Chao Wang, Yan Fang, Hui Xue
  • Year: 2025
  • Citations: 0

Yangyang Liu | Atmospheric Chemistry | Best Researcher Award

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Dr. Yangyang Liu | Atmospheric Chemistry | Best Researcher Award

Postdoctoral Researcher, Virginia Tech, United States

Dr. Yangyang Liu is a dedicated postdoctoral researcher at Virginia Tech, working with Prof. Peter J. Vikesland in the Department of Civil & Environmental Engineering. His expertise lies in heterogeneous/multiphase chemistry, interface mechanisms, and artificial intelligence (AI) machine learning applications in atmospheric chemistry and aerosol science. 🌍 His impactful research has advanced our understanding of aerosol pH and electric field, leading to groundbreaking in-situ monitoring systems and atmospheric chemistry models for studying heterogeneous reaction mechanisms and multiphase processes crucial to air pollution control. 🚀

Publication Profile

🎓 Education

Dr. Liu earned his Ph.D. in Environmental Science and Engineering from Fudan University, China 🎓. His academic journey also includes research experience at City University of Hong Kong, where he worked in the School of Environmental and Energy. With a strong foundation in atmospheric chemistry and machine learning, he continues to explore the intersection of chemistry, environmental engineering, and AI to address pressing environmental challenges. 🌱

💼 Experience

Dr. Liu’s professional career includes multiple postdoctoral research positions across prestigious institutions: Virginia Tech (2024-2025), Fudan University (2021-2024), and City University of Hong Kong (2020-2021). His research focuses on characterizing aerosol properties, advancing machine learning applications in environmental science, and developing innovative methodologies for monitoring air quality. 🌐 His contributions to atmospheric sulfate formation, nanoplastics detection, and environmental interface chemistry have been widely recognized in the scientific community.

🏆 Awards and Honors

Dr. Liu has received significant recognition for his research contributions, including being named one of the Outstanding Reviewers for Environmental Science: Advances (2023). 🌟 His cutting-edge studies on aerosol chemistry, air pollution mechanisms, and environmental nanotechnology have been published in top-tier journals, establishing him as a leading scientist in his field. 📜

🔬 Research Focus

Dr. Liu’s research revolves around multiphase and heterogeneous atmospheric chemistry, particularly investigating how aerosols interact with pollutants in the atmosphere. His work extends to nanoplastics detection, electric field influence on air pollutants, and AI-driven predictive modeling. 🧠 His innovative use of machine learning in atmospheric chemistry is paving the way for next-generation environmental monitoring and pollution mitigation strategies. 🌏

🎯 Conclusion

Dr. Yangyang Liu is a pioneering researcher in atmospheric chemistry, environmental nanotechnology, and AI-driven modeling. 🚀 His groundbreaking contributions to air pollution monitoring, aerosol chemistry, and nanoplastics detection continue to shape the field of environmental science. With a strong track record of impactful research, he remains committed to advancing sustainable solutions for air quality management and environmental protection. 🌱🌎

📚 Publications

Nanoplastics Detected in Commercial Sea Salt (2024) – Environmental Science and Technology (DOI: 10.1021/acs.est.3c11021) 📌
Rapid Detection of Nanoplastics in Water by Surface-Enhanced Raman Spectroscopy (2024) – Journal of Hazardous Materials (DOI: 10.1016/j.jhazmat.2023.132702) 🧪
Solar-Driven Arsenic(V) Transformation and Adsorption on Chalcopyrite (2024) – ACS ES&T Water (DOI: 10.1021/acsestwater.4c00059) 🌊Unveiling the Role of Carbonate Radical Anions in Dust-Driven SO₂ Oxidation (2024) – Journal of Geophysical Research: Atmospheres (DOI: 10.1029/2023JD040017) 💨
Significantly Accelerated Photosensitized Formation of Atmospheric Sulfate (2024) – Journal of the American Chemical Society (DOI: 10.1021/jacs.3c11892) 🔬
Automatic Identification of Individual Nanoplastics by Raman Spectroscopy Using Machine Learning (2023) – Environmental Science and Technology (DOI: 10.1021/acs.est.3c03210) 🤖

Manasvi Aggarwal | Artificial Intelligence | Young Scientist Award

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Ms. Manasvi Aggarwal | Artificial Intelligence | Young Scientist Award

Senior Data Scientist, Mastercard

Name: Manasvi Aggarwal  Gender: Female Designation: Senior Data Scientist Department: AI Garage Organization: Mastercard Specialization: Artificial IntelligenceExpertise: Graph Neural Networks (GNNs), Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Industry Experience: Microsoft, Myntra, Mastercard Notable Work: Developed MRP-GNN, identifying $17M in fraud and increasing fraud detection rates by 20% Research Collaborations: Oxford, Cambridge (INAR project) Publications: ICPR, IEEE BigData, ICML workshops, RecSys, Springer book Awards: Business Excellence Award (Mastercard), Google-sponsored EEML travel grant Professional Contributions: ICLR, IEEE BigData, and NeurIPS program committee member Vision: Advancing scalable AI solutions for real-world impact

profile:

Scholar

🎓 Education 

B.Tech: Computer Science, University of Delhi (Ranked 4th in cohort) Competitive Exams: GATE (99.47 percentile), JEST (All India Rank 35) M.Tech (Research): Computer Science, IISc Bengaluru Thesis: “Embedding Networks: Node and Edge Representations” (Graph-based learning, NLP, Computer Vision) PhD Offers: Fully funded PhD admissions from Canada and the USA (deferred due to financial reasons) Key Research Areas: Graph Neural Networks, Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Notable Academic Achievements: IISc Research Contributions in GNNs and self-supervised learning

💼 Experience 

Microsoft: Developed multi-label categorization for Azure offers using BERT embeddings and web scraping  Myntra: Worked on pricing automation, demand forecasting, and user cohort modeling with graph-based approaches Mastercard: Leading AI-driven fraud detection initiatives, including MRP-GNN (detected $17M fraud, 20% improved detection rates) Industry Collaborations: Worked with teams in Israel, USA, and India on AI-driven solutions Mentorship: Guides junior AI researchers, participates in hiring interviews

🏆 Awards & Honors 

Business Excellence Award – Mastercard Priceless Mentoring and Guidance Award – Mastercard Google-sponsored travel grant – EEML 2024 1st Runner-up – Myntra HackerRamp Hackathon Invited Program Committee Member – ICLR, IEEE BigData, NeurIPS

🔬 Research Focus 

Key Areas: Graph Neural Networks (GNNs), Spatio-Temporal Forecasting, Neural Algorithmic Reasoning Mastercard Research: Developed MRP-GNN, detecting high-risk merchants and preventing financial fraud  AI for Security: Fraud detection, risk prediction, secure transactions Spatio-Temporal AI: Developed GNN for terror activity forecasting in Jammu & Kashmir Academic Collaborations: Works with Oxford & Cambridge on INAR, optimizing CLRS-30 benchmarks Publications: Published in ICPR, IEEE BigData, ICML workshops, RecSys Community Contributions: Co-organized Southeast Asian Learning on Graphs (LoG) 2024 Meetup

✅ Conclusion

Manasvi Aggarwal is a highly competitive candidate for the Best Researcher Award, with a strong blend of academic excellence, industry impact, publications, and global collaborations. If she strengthens her patent portfolio, citation metrics, and leadership in independent research projects, she would be an even stronger contender for distinguished research awards.

publication

Deep Learning – M. Aggarwal, M.N. Murty (2021) – 21 citations

 

Machine Learning in Social Networks: Embedding Nodes, Edges, Communities, and Graphs – M. Aggarwal, M.N. Murty (2021) – 18 citations

 

Self-supervised Hierarchical Graph Neural Network for Graph Representation – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 4 citations

 

Robust Hierarchical Graph Classification with Subgraph Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 4 citations

 

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 3 citations

 

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2021) – 2 citations

 

Region and Relations Based Multi Attention Network for Graph Classification – M. Aggarwal, M.N. Murty (2021) – 2 citations

 

Using Relational Graph Convolutional Networks to Assign Fashion Communities to Users – A. Budhiraja, M. Sukhwani, M. Aggarwal, S. Shevade, G. Sathyanarayana (2022) – 1 citation

 

Node Representations – M. Aggarwal, M.N. Murty (2021) – 1 citation

 

Hierarchically Attentive Graph Pooling with Subgraph Attention – S. Bandyopadhyay, M. Aggarwal, M.N. Murty (2020) – 1 citation

 

Embedding Graphs – M. Aggarwal, M.N. Murty (2021)

 

Representations of Networks – M. Aggarwal, M.N. Murty (2021)

 

Embedding Networks: Node and Graph Level Representations – M. Aggarwal

Esin MOJTAHEDI|Food Engineering|Best Researcher Award

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Assist. Prof. Dr. Esin MOJTAHEDI|Food Engineering|Best Researcher Award

Corresponding Author, Istanbul Aydin University

Piero Frank Fernández Campos es un estudiante destacado de Ingeniería Mecatrónica en la Universidad San Ignacio de Loyola. Ha mantenido el primer puesto de su promoción desde 2021 y ha recibido becas por su excelencia académica. Con experiencia en diseño de maquinaria minera y mantenimiento electrónico, ha trabajado en Equipments & Supplies Mining Tech S.A.C. y Enrique ChampacIngs S.A.C. Piero es coautor de un artículo en MDPI sobre la producción de limón y redes neuronales. Su enfoque en investigación aplicada, junto con su rendimiento académico excepcional, lo posiciona como un joven talento en su campo.

profile:

Orcid

🎓 Educación

Piero cursa Ingeniería Mecatrónica en la Universidad San Ignacio de Loyola, donde ha sobresalido académicamente desde 2021. Su formación combina teoría avanzada y aplicaciones prácticas en automatización, diseño mecánico y análisis computacional. Ha fortalecido su educación con experiencia en empresas especializadas y participación en proyectos de investigación. Su trayectoria refleja un equilibrio entre excelencia académica y aprendizaje práctico, preparándolo para contribuir significativamente a la industria tecnológica y la investigación.

💼 Experiencia

Piero ha adquirido experiencia en empresas como Equipments & Supplies Mining Tech S.A.C., donde trabajó en diseño de maquinaria para la minería, y en Enrique ChampacIngs S.A.C., donde realizó mantenimiento de placas electrónicas. Su habilidad para aplicar conocimientos en entornos reales le ha permitido desarrollar competencias en análisis estructural, automatización y optimización de procesos industriales. Además, su participación en investigaciones tecnológicas refuerza su perfil como ingeniero mecatrónico con enfoque en innovación y desarrollo.

🏆 Premios y Honores

Piero ha sido reconocido con una beca de excelencia académica en la Universidad San Ignacio de Loyola por mantener el promedio más alto en su carrera desde 2021. Ha ocupado consistentemente el primer puesto de su promoción, demostrando un compromiso excepcional con su formación. Su contribución a la investigación le ha permitido publicar en revistas indexadas, consolidando su posición como un joven investigador prometedor en ingeniería mecatrónica.

🔬 Enfoque de Investigación

Piero se especializa en la aplicación de inteligencia artificial y automatización en procesos industriales. Su investigación en redes neuronales para el análisis de cultivos y fenómenos climáticos demuestra su interés en soluciones tecnológicas innovadoras. Además, busca mejorar la eficiencia en la industria mediante la optimización de maquinaria y el mantenimiento predictivo. Su enfoque multidisciplinario lo posiciona como un investigador con potencial para transformar la industria tecnológica.

🏆 Conclusión

Piero Fernández Campos muestra un gran potencial como investigador con su sólido desempeño académico, experiencia práctica y contribución científica. Para consolidar su candidatura al Best Researcher Award, debería aumentar sus publicaciones, participar en conferencias internacionales y diversificar sus líneas de investigación. Con estas mejoras, podría posicionarse como un líder en su área y fortalecer su impacto en la comunidad científica.

Publication

2024 – Comprehensive analysis of NiCuZnFeSnO nanospinel ferrites: Structural, electrical, and dielectric characterization through advanced techniques
Authors: B. Ünal, Munirah A. Almessiere, A. Baykal, Yassine Slimani, M.A. Gondal, N. Kian-Pour, Sagar E. Shirsath, A. Manikandan, U. Baig
DOI: 10.1016/j.ceramint.2024.05.367

 

2024 – Effect of ultrasound-ethanol immersion, microwave, and starch-blanching pretreatments on drying kinetics, rehydration, and quality properties of beetroot chips
Authors: Esin Mojtahedi, Tugce Ceyhan, Duygu Ozmen, Omer Said Toker
DOI: 10.1515/ijfe-2023-0237

 

2023 – Effect of ethanol immersion and ultrasound pretreatments on the kinetics of convective drying of quince
Author: Esin Mojtahedi
DOI: 10.15237/gida.gd23082

 

2023 – Possibility of using black olive seed powder in formulations to functionalize bread
Authors: Elif Çakir, Rusen Metin Yildirim, Nasim Kian Pour, Görkem Özülkü, Ömer Said Toker, Muhammet Arici
DOI: 10.52292/j.laar.2023.1073

2023 – Effect of biopolymer dip-coating pretreatments as a non-thermal green technology on physicochemical characteristics, drying, and rehydration kinetics of Santa Maria pears
Author: Esin Mojtahedi
DOI: 10.3390/foods12132466

2023 – A review on latest innovations in physical modifications of galactomannans
Authors: Nasim Kian-Pour, Meral Yildirim Yalçın, Abdullah Kurt, Duygu Ozmen, Omer Said Toker
DOI: 10.1016/j.foodhyd.2023.108470

2023 – Improvement of spreadability of grape molasses with induced crystallization for production of creamed molasses as a novel product
Authors: Duygu Ozmen, Rusen Metin Yildirim, Kubra Bursa, Esin Mojtahedi, Omer Said Toker, Ibrahim Palabiyik, Nevzat Konar, Bayram Yurt
DOI: 10.1016/j.ijgfs.2022.100628

 

xiaoqi sheng | Biological information processing | Best Researcher Award

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Dr. xiaoqi sheng | Biological information processing | Best Researcher Award

Assistant professor, South China University of Technology China

Xiaoqi Sheng is a Ph.D. candidate in Computer Science and Technology at South China University of Technology, advised by Dr. Hongmin Cai. His research specializes in applying Artificial Intelligence (AI) to neuroscience, brain disease modeling, biomedical data analytics, and medical image segmentation. Sheng has published extensively in high-impact journals such as IEEE Transactions on Neural Networks and Learning Systems. He has contributed significantly to Alzheimer’s disease detection and brain network classification using advanced machine learning models. Sheng has collaborated internationally, including research exchanges at Soochow University and online collaborations with the University of Texas at Arlington. His work focuses on AI-driven insights into brain function and medical diagnostics. Recognized for academic excellence, he has received prestigious scholarships and awards. With a strong foundation in control engineering and electronic information engineering, Sheng continues to push the boundaries of AI applications in medical science and fundamental neuroscience.

Profile

Scopus

Scholar

🎓 Education 

Xiaoqi Sheng is currently pursuing a Ph.D. in Computer Science and Technology at South China University of Technology (2020-2024). He earned an M.S. in Control Engineering from Jiangxi University of Science and Technology (2017-2020) under Dr. Liming Liang and Dr. Xinjian Chen. His undergraduate studies in Electronic Information Engineering were completed at Liaocheng University Dongchang College (2013-2017). He also participated in academic exchanges at Soochow University (2018-2019), focusing on fundus image segmentation, and at The University of Texas at Arlington (2022-2024), specializing in imaging genomics analysis.

🏆 Experience 

Sheng has conducted extensive research on AI applications in neuroscience, working on brain disease modeling and fundamental brain organization principles. His collaborations include research on medical image segmentation and manifold learning techniques for diagnostic applications. During his exchange at Soochow University, he developed techniques for glycoconjugate network diagnostics. His collaboration with The University of Texas at Arlington involved imaging genomics analysis for brain disorders. His expertise spans artificial intelligence, biomedical data analytics, and discriminant analysis modeling, with a focus on enhancing medical diagnostic accuracy.

🏅 Awards and Honors 

Sheng has received numerous accolades, including the Wuliangye Scholarship for Outstanding Students (2023) and the National Scholarship from the Ministry of Education of China (2020). His master’s thesis was recognized as Excellent in Jiangxi Province (2023), and he was honored as an Outstanding Graduate at Jiangxi University of Science and Technology (2020). Additionally, he secured First Prize at the 15th Graduate Student Academic Forum of Jiangxi University of Science and Technology (2019), reflecting his contributions to AI-driven biomedical research.

🔬 Research Focus 

Sheng specializes in artificial intelligence applications in neuroscience, with a focus on brain disease modeling for conditions like Alzheimer’s disease. His research explores AI-driven insights into brain organization, manifold learning, and discriminant analysis. He applies AI to biomedical data analytics and medical image segmentation, enhancing disease detection and treatment planning. His work integrates deep learning and computational intelligence to advance neuroscience and medical diagnostics, aiming to improve precision in brain disorder classification and healthcare decision-making.

🔍Conclusion

Dr. Xiaoqi Sheng exhibits a robust profile characterized by prolific research output, a strong academic foundation, and active involvement in the scientific community. Addressing the noted areas for improvement could further enhance his candidacy for the Best Researcher Award, positioning him as a distinguished contributor to his field.

Publication

  • GA-Net: Ghost convolution adaptive fusion skin lesion segmentation network (2023) – L. Zhou, L. Liang, X. Sheng – 14 citations

 

  • SGUNet: Style-guided UNet for adversely conditioned fundus image super-resolution (2021) – Z. Fan, T. Dan, B. Liu, X. Sheng, H. Yu, H. Cai – 10 citations

 

  • U-shaped retinal vessel segmentation algorithm based on adaptive scale information (2019) – L. Liang, X. Sheng, Z. Lan, G. Yang, X. Chen – 10 citations

 

  • Deep manifold harmonic network with dual attention for brain disorder classification (2022) – X. Sheng, J. Chen, Y. Liu, B. Hu, H. Cai – 7 citations

 

  • Segmentation of retinal vessels by fusing contour information and conditional generative adversarial (2021) – L. Liang, Z. Lan, X. Sheng, Z. Xie, W. Liu – 4 citations

 

  • Brain Network Classification for Accurate Detection of Alzheimer’s Disease via Manifold Harmonic Discriminant Analysis (2023) – H. Cai, X. Sheng, G. Wu, B. Hu, Y.M. Cheung, J. Chen – 2 citations

 

  • Colorectal polyp segmentation method based on fusion of transformer and cross-level phase awareness (2023) – L. Liang, A. He, C. Zhu, X. Sheng – 2 citations

 

  • Retinal vessel segmentation based on W-net conditional generative adversarial nets (2021) – L. Liang, Z. Lan, W. Xiong, X. Sheng – 2 citations

 

  • Retinal vessels segmentation algorithm based on multi-scale filtering (2019) – S. Xiaoqi, Z. Lan – 2 citations

 

  • Modality-aware discriminative fusion network for integrated analysis of brain imaging genomics (2024) – X. Sheng, H. Cai, Y. Nie, S. He, Y.M. Cheung, J. Chen – 1 citation

 

  • A level set method with region-scalable fitting energy for retinal layer segmentation in spectral-domain optical coherence tomography images (2020) – L. Liang, X. Sheng, B. Liu, Z. Lan – 1 citation

 

  • SFIT-Net: Spatial Reconstruction Feature Interaction Transformer Retinal Vessel Segmentation Algorithm (2025) – L. Liang, B. Lu, J. Wu, Y. Li, X. Sheng – No citations yet

 

  • U-shaped Retinal Vessel Segmentation Based on Adaptive Aggregation of Feature Information (2022) – LLJFLZJYX Sheng – No citations yet

 

  • Improved U-Net fundus retinal vessels segmentation (2020) – L. Liming, S. Xiaoqi, G. Kai – No citations yet

 

 

 

Artur Neves| History of Science and Tecnology | Best Researcher Award

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Dr. Artur Neves| History of Science and Tecnology | Best Researcher Award

David Booth Fellow in Conservation Science, The Museum of Modern Art United States

Artur Neves, PhD, is a conservation scientist specializing in cultural heritage preservation. He currently serves as the David Booth Fellow in Conservation Science at the Museum of Modern Art (MoMA), New York. He earned his PhD in Conservation Science from NOVA University of Lisbon in 2023, focusing on cellulose nitrate objects. Neves has led multiple research projects, including at the SOLEIL Synchrotron, IPANEMA, and within the European NEMOSINE project. He was awarded a Fulbright Research Grant to study museum conservation at the University of Maryland and collaborated with prestigious institutions like the Smithsonian. His work explores the degradation and preservation of historical plastic materials, employing advanced imaging and analytical techniques. With numerous peer-reviewed publications, Neves has contributed significantly to heritage science, material culture studies, and conservation strategies. His research continues to bridge the gap between historical scientific advancements and contemporary conservation efforts.

Profile

Orcid

Education 🎓

Artur Neves completed his PhD in Conservation and Restoration of Cultural Heritage at NOVA University of Lisbon in 2023, specializing in Conservation Science. His dissertation focused on cellulose nitrate objects, combining historical scientific advancements with modern conservation techniques. He earned his MSc in Conservation Science from the same institution in 2017, achieving a perfect score (20/20) for his thesis on fluorescence markers for cellulose nitrate degradation. Prior to that, he obtained a BSc in Conservation and Restoration from NOVA University in 2015. Throughout his academic journey, Neves has integrated multidisciplinary approaches, blending chemistry, physics, and material science to enhance cultural heritage preservation. His studies have equipped him with expertise in state-of-the-art imaging, spectroscopy, and multi-analytical techniques to assess and conserve historical materials. His educational background has been instrumental in shaping his contributions to conservation research, enabling collaborations with leading heritage science institutions worldwide.

Experience 🏥

Artur Neves is currently the David Booth Fellow in Conservation Science at MoMA, New York (2024-2026). He previously held a postdoctoral research grant at NOVA University of Lisbon (2023-2024) under the “Plastics Metamorphoses” project. From 2023 to 2024, he worked on the REDiscovering Madder Colours project, exploring scientific and artistic preservation of cultural heritage. In 2022, he received a Fulbright Research Grant at the University of Maryland, collaborating with American institutions, including the Smithsonian, on 19th-20th century celluloid objects. He has also conducted research at SOLEIL Synchrotron (France), IPANEMA, and within the European NEMOSINE project. Between 2018-2023, he was a PhD fellow funded by FCT, Portugal. His expertise spans historical plastics conservation, advanced analytical techniques, and museum studies. Through interdisciplinary collaboration, Neves has contributed to cutting-edge heritage science, playing a pivotal role in developing innovative conservation strategies for modern and contemporary cultural artifacts.

🏆 Awards & Honors 

Artur Neves has received multiple prestigious grants and fellowships for his work in conservation science. He was awarded the David Booth Fellowship at MoMA (2024-2026), reflecting his expertise in cultural heritage preservation. In 2022, he won a Fulbright Research Grant to study museum conservation in the U.S., collaborating with the University of Maryland and the Smithsonian Institution. He secured two research projects at the SOLEIL Synchrotron in France (2020-2021) to study deep UV luminescence of historical plastics. Neves also received a European research fellowship (NEMOSINE) to investigate the degradation of cellulose-based cinematographic films. He was funded by IPERION HS at IPANEMA (2022) to explore advanced imaging techniques for historical materials. Additionally, his PhD was supported by an FCT scholarship (2018-2023), recognizing his research excellence in conservation science. His awards highlight his contributions to the interdisciplinary study of cultural heritage materials and innovative preservation methodologies.

🔬 Research Focus 

Artur Neves specializes in the conservation of historical plastics, particularly cellulose nitrate and acetate-based artifacts. His research integrates material science, chemistry, and physics to develop advanced analytical techniques for assessing cultural heritage degradation. He explores fluorescence markers, deep UV luminescence, and spectroscopy to detect early signs of material deterioration. His work on 19th-20th century celluloid objects has contributed to understanding the stability and preservation of plastic artifacts in museum collections. He collaborates with international institutions like SOLEIL Synchrotron, IPANEMA, and the Smithsonian, applying cutting-edge imaging techniques to study heritage materials. His research also extends to organic colorants in historical artifacts, with projects like REDiscovering Madder Colours. Neves’ work bridges science and cultural heritage, offering sustainable conservation solutions for modern and contemporary art. His interdisciplinary approach enhances museum conservation practices and informs heritage professionals about the long-term preservation of vulnerable historical materials.

Conclusion

Dr. Artur Neves exemplifies the qualities of an outstanding researcher through his innovative contributions, international collaborations, and leadership in conservation science. His work not only enriches academic understanding but also provides tangible benefits to the preservation of cultural heritage. These attributes make him a compelling candidate for the Best Researcher Award.

Publications 📑

2025

  1. Ivory Emulation: The Naturalness of Early Bioinspired Plastics

2024

  1. A Closer Look at Heritage Systems from Medieval Colors to Modern and Contemporary Artworks

    • Journal: Heritage
    • DOI: 10.3390/heritage7100259
    • Contributors: Maria J. Melo, Márcia Vieira, Paula Nabais, Artur Neves, Marisa Pamplona, Eva Mariasole Angelin

  2. The Challenge of Cellulose Nitrate-Coated Fabrics: Molecular Characterization of Celluloid Detachable Collars and Fabrikoid

    • Journal: Conservar Património
    • DOI: 10.14568/cp34829
    • Contributors: Artur Neves, Joana Tomás Ferreira, Robert Friedel, Maria Elvira Callapez

  3. Iron(III)-Based Metal-Organic Frameworks in Cellulose Acetate Film Preservation: Fundamental Aspects and First Application

    • Journal: Journal of Cultural Heritage
    • DOI: 10.1016/j.culher.2023.11.013
    • Contributors: Abeer Al Mohtar, Maria Inês Severino, Pierre Tignol, Luigi Ranza, Artur Neves, Farid Nouar, Vanessa Pimenta, João Lopes, Ana Maria Ramos, Juan Ignacio Lahoz Rodrigo

2023

  1. Best Billiard Ball in the 19th Century: Composite Materials Made of Celluloid and Bone as Substitutes for Ivory

    • Journal: PNAS Nexus
    • DOI: 10.1093/pnasnexus/pgad360
    • Contributors: Artur Neves, Robert Friedel, Maria J Melo, Maria Elvira Callapez, Edward P Vicenzi, Thomas Lam, Zakya Kafafi

  2. Para a História do Celuloide: Evolução da Indústria dos Pentes em Portugal (1880-1970)

  3. Safeguarding Our Dentistry Heritage: A Study of the History and Conservation of Nineteenth-Twentieth Century Dentures

    • Journal: Heritage Science
    • DOI: 10.1186/s40494-023-00989-2
    • Contributors: Artur Neves, Robert Friedel, Maria Elvira Callapez, Scott D. Swank

2021-2020

  1. Novel Markers to Early Detect Degradation on Cellulose Nitrate-Based Heritage at the Submicrometer Level Using Synchrotron UV–VIS Multispectral Luminescence

  2. Decision Making Based on Hybrid Modeling Approach Applied to Cellulose Acetate-Based Historical Films Conservation

  3. A Diagnostic Tool for Assessing the Conservation Condition of Cellulose Nitrate and Acetate in Heritage Collections: Quantifying the Degree of Substitution by Infrared Spectroscopy

 

 

Suneela Ahmed | Urban Studies | Best Researcher Award

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Suneela Ahmed | Urban Studies | Best Researcher Award

Associate Professor,Indus valley school of Art and Architecuture

Dr. Suneela Ahmed is an Associate Professor and Head of the Department of Architecture at Indus Valley School (IVS), Karachi. She holds a PhD in Urban Design from Oxford Brookes University, a Master’s in Urban Management from the University of Canberra, and a Bachelor’s in Architecture from IVSAA, Karachi. With over two decades of academic and professional experience, she has served at NED University and as Principal Architect at MAK Architects. Her research focuses on urban resilience, informal settlements, and architectural pedagogy. She has authored books and peer-reviewed publications on Karachi’s urban landscape and sustainability. A sought-after speaker, she contributes to international conferences, research collaborations, and advisory roles in urban planning. She integrates critical regionalism and sustainability into her teaching and practice. Dr. Ahmed’s work bridges the gap between academia and practice, making her a significant voice in Pakistan’s architectural discourse.

profile

scholar

🎓 Education

PhD (Urban Design) (2016) – Oxford Brookes University, UK   Master’s in Urban Management (2004) – University of Canberra, Australia   Bachelor’s in Architecture (2000) – Indus Valley School of Art and Architecture, Karachi

💼 Work Experience 

Head of Department / Associate Professor (2022-Present) – Indus Valley School (IVS), Karachi   Associate Professor / Post Graduate Coordinator (2021-2022) – NED University, Karachi  Assistant Professor (2010-2021) – NED University, Karachi   Adjunct Faculty (2019-2022) – Indus Valley School, Karachi   Adjunct Faculty / Research Assistant (2004-2010) – NED University, Karachi  Principal Architect (2005-Present) – MAK Architects  Assistant Architect (2001-2002) – ASA (Pvt.) Ltd., Karachi

🏆 Awards & Honors

Recognized expert in urban planning and architectural research  Published multiple books and peer-reviewed journal articles  Speaker at international conferences on urban design & resilience  Contributor to major urban research collaborations  Active reviewer for academic journals in architecture and planning  Awarded funding for research projects and urban development studies

🔬 Research Focus

Urban resilience – Studying adaptation in informal settlements  Sustainable urban design – Integrating sustainability into city planning  Architectural pedagogy – Innovations in architectural education Housing policies – Impact of rental laws on urban housing  Heritage preservation – Documenting Karachi’s architectural history  Public space transformation – Evaluating city design changes  Social resilience – Exploring informal networks in urban settings

🏅 Conclusion

Dr. Suneela Ahmed’s extensive research, academic leadership, and professional expertise make her a strong candidate for the Best Researcher Award. Her contributions to urban design, sustainable architecture, and cultural heritage preservation have had a lasting impact in Pakistan and beyond. Strengthening international collaborations and increasing the global reach of her work could further solidify her standing as a leading researcher in the field.

publication

  • How People Face Evictions – Y Cabannes, SG Yafi, C Johnson – 33 citations

 

  • Planning for High Density in Low-Income Settlements: Four Case Studies from Karachi – A Hasan, A Sadiq, S Ahmed – 23 citations

 

  • Examining Challenges Experienced by Street Vendors in the Global South: Case of Karachi – N Ahmed, S Ahmed, SU Ahmed – 8 citations

 

  • Planning for High Density in Low-Income Areas: A Case Study from Karachi – A Hasan, A Sadiq, S Ahmed – 5 citations

 

  • Predicaments and Possibilities Experienced by Homeless in Karachi – N Ahmed, S Ahmed, S Ahmed – 4 citations

 

  • Loss of Intrinsic Qualities of Urban Form and Local Social Processes in the Face of Globalisation: Case of Karachi’s Old Town – S Ahmed – 3 citations

 

  • Why Integrated Solid Waste Management is So Elusive – Learning from Africa and Asia – J Beall, M Ali, S Ahmed, S Ahmed, H Desta, E Gebremariam, NF da Cruz – 2 citations

 

  • Impacts of Judicial Verdicts on Land Acquisition Practices for Real Estate in Pakistan – N Ahmed, S Ahmed, S Ahmed – 2 citations

 

  • Examining the Usage of City Walls for Wall Chalking: Cases from Karachi, Pakistan – N Ahmed, S Ahmed – 2 citations

 

  • Urban Morphologies, Design Qualities, and the Decision-Making Process in Relationship to Maqamiat: Case of Karachi, Pakistan – S Ahmed – 2 citations

 

 

Shaista Jabeen | Marketing | Young Scientist Award

Published on by Young Scientists Awards

Ms. Shaista Jabeen | Marketing | Young Scientist Award

PhD candidate and researcher, University of Pec’s, Hungary🏅

Shaista Jabeen is a passionate PhD Scholar in Marketing at the University of Pécs, Hungary (2020–2025). With expertise in digital marketing, customer relationship management, and consumer behavior, she has made significant contributions to research in brand management and AI-based marketing analytics. She has worked as a Marketing Officer and Finance Officer in various firms, demonstrating her skills in Google Ads, social media marketing, e-commerce management, and data analysis. She has received multiple awards for her academic and research excellence, with published articles in reputed international journals.

Profile

Scopus

Education 🎓

Shaista Jabeen holds a PhD in Marketing (ongoing) from the University of Pécs, Hungary, where she focuses on digital marketing strategies and consumer insights. She completed her Master’s in Business Administration (Marketing) from Fatima Jinnah Women University (2016–2018) with a CGPA of 3.85/4, following a Bachelor’s in Business Studies from the same institution (2014–2016, CGPA: 3.50/4). She also holds a Bachelor’s in Commerce from the University of Punjab (2011–2013). Her academic journey reflects her strong foundation in business, marketing, and consumer research.

Experience 💼

Shaista has extensive professional experience in marketing and administration. She served as a Marketing and Administration Officer at XpertFlow Technologies (2018–2020), managing Google Ads, Facebook campaigns, market research, and customer engagement. Previously, she worked as a Marketing Officer at Theta Technologies (2016–2018), focusing on brand promotion, social media marketing, and event management. Additionally, she held a part-time role as an Account & Finance Officer at Bitsym Pvt Ltd (2018), handling financial reporting and bookkeeping. Her expertise spans digital marketing, e-commerce, and business analytics.

Research Interests 🔬

Shaista’s research revolves around digital marketing, consumer behavior, brand management, and AI-driven marketing analytics. She explores topics like customer relationship management (CRM), brand hate, consumer sentiment analysis, and the impact of AI in marketing strategies. Her work includes bibliometric analysis, NLP-based consumer reviews, and leadership in SMEs. With a keen interest in data-driven decision-making and social media analytics, she aims to bridge the gap between academic research and industry applications.

Awards & Achievements 🏆

Achieving excellence in academics and extracurricular activities, the individual secured 3rd Position in Business & Administration in both BBS Batch 2016 and MS Batch 2018. Demonstrating strong leadership and analytical skills, they were selected for the Allied Bank Limited Management Trainee Program (2018). Their dedication to sports earned them a Bronze Medal in the Inter-University Taekwondo Competition (2017), while their commitment to social initiatives was recognized with the Best Volunteer Award at the Entrepreneurship Fair (2017). A recipient of a Merit Scholarship at the school level, they also showcased research expertise as a Presenter at the SZABIST Conference on Sustainable Development (2017). 🎓🏅

Publications 📚

Jabeen, S. (2025). The Landscape of CRM Research: A Bibliometric Analysis of Key Trends and Future Directions. Journal of Relationship Marketing.

Jabeen, S. (2024). Causes and Effects of Brand Hate in the Smartphone Industry of Hungary: A Comparison between Generation Y and Generation Z. Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior.

Jabeen, S. (2024). Decoding Consumer Sentiments: Advanced NLP Techniques for Analyzing Smartphone Reviews. Revista de Administração Contemporânea.

Jabeen, S. (2022). Entrepreneurship in Spain: An Analysis Based on the GEI Model. International Journal of Management Research and Emerging Sciences.

Jabeen, S. (2022). What Is the Role of Transformational Leadership in SMEs? A Review Paper. South Asian Review of Business and Administrative Studies (SABAS).

Jabeen, S. (Forthcoming). Exploring the Impact of AI-Based Advertisements and Retailer Reputation on Consumer Trust in Online Shopping Behavior. [International Journal of Services, Economics, and Management] (Accepted).

Jabeen, S. (Forthcoming). Personality Matters: The Moderating Role of Big Five Personality Traits in Consumer Grudge Holding – A Study of Pakistan’s Automobile Industry. [Journal of Consumer Satisfaction, Dissatisfaction, and Complaining Behavior] (Accepted).

Conclusion

Based on her outstanding research contributions, academic excellence, technical expertise, and leadership in marketing and digital strategies, Shaista Jabeen is a strong candidate for the Research for Young Scientist Award. Her work aligns with contemporary trends in digital marketing, consumer behavior, and AI applications, making her a deserving recipient of this recognition