Shuo Qu | soybean science | Best Researcher Award

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Dr. Shuo Qu | soybean science | Best Researcher Award

Doctor, Northeast Agricultural University China

 Shuo Qu is a dedicated researcher specializing in crop genetics and breeding with a strong academic background in agricultural sciences.  He pursued a Master’s degree at Jilin Agricultural University (2018-2021) and is currently a Ph.D. candidate at Northeast Agricultural University (2022-2026).  His research focuses on genetic improvement of crops, enhancing yield, and developing stress-resistant plant varieties.  Passionate about agricultural biotechnology, he actively contributes to scientific research and innovative breeding techniques.  With a commitment to sustainable agriculture, he aims to bridge modern genetic advancements with traditional breeding to ensure global food security.

Publication Profile

🎓 Education

 Master’s Degree (2018-2021): Jilin Agricultural University – Specialized in crop genetics and biotechnology.  Ph.D. Candidate (2022-2026): Northeast Agricultural University – Researching crop genetics and breeding to enhance yield and resilience. Expertise: Advanced plant breeding, molecular genetics, and biotechnology applications in agriculture.

💼 Experience

Graduate Researcher, Jilin Agricultural University (2018-2021): Conducted research on crop genetic modifications for stress resistance.  Ph.D. Researcher, Northeast Agricultural University (2022-present): Specializing in genome editing and trait selection for improved crop varieties.Teaching Assistant: Assisted in courses related to plant breeding and agricultural biotechnology.

🏆 Awards and Honors

Top Scholar Award – Jilin Agricultural University (2020) . Best Research Paper – Published in a high-impact agricultural journal (2021) . Outstanding Presentation Award – International Conference on Crop Science (2022)

🔬 Research Focus

Crop Genetics & Breeding: Enhancing plant resilience, productivity, and stress tolerance. Genetic Modification: Applying CRISPR & marker-assisted selection for superior traits.  Sustainable Agriculture: Integrating biotechnology & traditional breeding for food security.

🎯 Conclusion

Dr. Shuo Qu exhibits a strong foundation in soybean genetics research, with significant contributions to understanding disease resistance and oil composition. To enhance suitability for a Best Researcher Award, focusing on increasing high-impact publications, securing substantial research funding, and demonstrating leadership through interdisciplinary collaborations and mentorship is recommended. These efforts would align with typical award criteria that emphasize research excellence, impact, and leadership

📚 Publications

Title: Multi-omics analysis identified the GmUGT88A1 gene, which coordinately regulates soybean resistance to cyst nematode and isoflavone content
Year: 2025
Authors: H. Jiang, Haipeng; S. Qu, Shuo; F. Liu, Fang; Y. Han, Yingpeng; X. Zhao, Xue
Citation Count: 0

Awais ALi | vaccine | Young Scientist Award

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Dr. Awais ALi | vaccine | Young Scientist Award

RESEARCHER  at COMPUTATIONAL GENOMICS , Pakistan

Awais Ali (b. 30 Nov 2000) is a Pakistani researcher specializing in computational genomics and medicinal plant transcriptomics. He holds a BS in Biochemistry from Abdul Wali Khan University, focusing on secondary metabolite characterization. With expertise in bioinformatics tools, Linux-based commands, and databases like KEGG, MetaCyc, and DAVID, he has contributed to mutational screening, hepatotoxicity studies, and metabolomic research. Awais has presented at the 2nd International Conference on Drug Discovery & Development and has certifications in digital marketing and freelancing. His research is published in Scopus and WoS-indexed journals, reflecting his contributions to molecular biology and bioinformatics. 📊🔬📚

Publication Profile

Orcid

🎓 Academic Background of Awais Ali

Awais Ali holds a BS in Biochemistry (2018–2022) from Abdul Wali Khan University, Mardan, with a 3.2 GPA (A grade). His thesis focused on the transcriptome analysis of Artemisia Argyi for secondary metabolite characterization. He also earned a Diploma in Information Technology (2020–2021) from Government Technical Vocational College. Awais has further enhanced his skills through certifications in Digital Marketing and Freelancing from DigiSkills Pakistan. Proficient in bioinformatics tools, he specializes in KEGG, MetaCyc, DAVID, and R programming. He participated in the 2nd International Conference on Advances in Drug Discovery & Development (2022), showcasing his expertise in genomics and transcriptomics. 🔬📊💻

Professional Background

Awais Ali has extensive experience in computational research and database management. From 2020 to 2022, he worked as a Database Manager, collecting medicinal compounds from literature and scripting databases. Since 2019, he has been actively involved in computational genomics research, utilizing various bioinformatics tools and Linux-based commands for filtration, assembling, alignment, and BLAST analysis. He specializes in working with databases such as KEGG, MetaCyc, PlantCyc, MetaboAnalyst, DAVID, GO3, Panther, and Plant Reactomics. His expertise lies in data processing, genomic analysis, and bioinformatics workflows, contributing significantly to computational biology. 🔬💻📊

🔬 Research Focus

This researcher specializes in computational genomics, bioinformatics, and medicinal plant transcriptomics. Their work includes mutational screening, secondary metabolite characterization, and drug-induced toxicity studies. They utilize Linux, Ubuntu, UNIX, MS-DOS, and Windows for data analysis, sequence alignment, BLAST, and enrichment analysis. Their research spans medicinal plant bioactives, genetic disorders like CMT disease, and hepatotoxicity studies. Their published work in Scopus and WoS-indexed journals reflects their contributions to genome analysis, metabolic pathways, and pharmacological research, making them a key figure in computational biology and molecular medicine. 🧬💻🌿

Publication Top Notes

1️⃣ Identification and assessment of hub genes and miRNAs coregulatory associated with immune infiltrations and drug interactions in latent tuberculosis 🧬💊
Year: 2025 | Journal: Biochemistry and Biophysics Reports

2️⃣ Multi-epitope-based vaccine models prioritization against Astrovirus MLB1 using immunoinformatics and reverse vaccinology approaches 💉🔬
Year: 2025 | Journal: Journal of Genetic Engineering and Biotechnology

3️⃣ Design, synthesis, characterization and biological screening of novel thiosemicarbazones and their derivatives with potent antibacterial and antidiabetic activities 🦠⚕️
Year: 2025 | Journal: Journal of Molecular Structure

4️⃣ Promising vaccine models against astrovirus MLB2 using integrated vaccinomics and immunoinformatics approaches 💉🧪
Year: 2024 |  Journal: Molecular Systems Design & Engineering

5️⃣ NK/DC crosstalk-modulating antitumor activity via Sema3E/PlexinD1 axis for enhanced cancer immunotherapy 🎗️🦠
Year: 2024 | Journal: Immunologic Research

 

 

Thomas Adino | Political Science | Best Researcher Award

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Mr.Thomas Adino | Political Science | Best Researcher Award

A PhD candidate at Addis Ababa University, Woldia University

Thomas Adino is a Lecturer in the Department of Political Science and International Relations at Woldia University, Ethiopia, and a Ph.D. candidate in African Studies at Addis Ababa University. With a strong academic background in Philosophy, Law, and Gender Studies, he has dedicated his career to teaching, research, and community service. His work focuses on political philosophy, governance, Pan-Africanism, and development. He has published extensively in Scopus-indexed journals and serves as a reviewer for renowned academic publishers. Beyond academia, he is passionate about critical thinking, historical explorations, and social justice advocacy.

profile

Scholar

🎓 Education

Ph.D. Candidate (African Studies) – Addis Ababa University (2018–Present) M.A. in Philosophy – Addis Ababa University (2010–2013) B.A. in Philosophy – Addis Ababa University (2003–2006) LL.B. (Local Law Bachelor) – Bahir Dar University (2009–2015) Higher Diploma Program (HDP) – Debre Markos University (2013–2014) International Certificate in Gender, Development, and Planning – NIESBUD, India (2016)

💼 Experience

Lecturer (Political Science & IR) – Woldia University (2015–Present) Lecturer (Civic & Ethical Studies) – Debre Markos University (2009–2015) Lecturer – Debre Markos College of Teachers’ Education (2008–2009) Civic & Ethical Education Teacher – Woldia Preparatory School (2006–2008)  Lecturer (Logic & Critical Thinking) – Addis Ababa University (2019–Present) Department Chairman – Woldia & Debre Markos Universities Vice Dean (Faculty of Social Sciences & Humanities) – Woldia University (2017–2018)

🏆 Awards & Honors

Member of Reviewers’ Board – Athens Journal of Philosophy (2022–Present) Member of Reviewers’ Board – Taylor and Francis Group (2020–Present) Member of Reviewers’ Board – Sage Publications (2021–Present) Driving License (Valid till 2025)

🔬 Research Focus

Ubuntu Philosophy – Identity-based conflict resolution in Africa Pan-Africanism – Quest for supra-state formation & authentic development World Bank Policies – Critical analysis of SAPs & poverty reduction in Africa Western Political Philosophy – Successes & failures in Ethiopia Governance & Development – African political institutions and transformation

✅ Conclusion

Thomas Adino is a strong candidate for the Best Researcher Award, given his extensive academic career, interdisciplinary expertise, and contributions to critical African studies and political philosophy. Strengthening his international research impact and leadership in funded projects could further solidify his candidacy.

publication

  • Ubuntu: An Approach for Identity-Based Conflicts in Contemporary Africa

    • Author: TA Taye
    • Year: 2021
    • Citations: 6

  • Rethinking Pan-Africanism: The Quest for Supra-State Formation and Authentic Development in Africa

    • Author: TA Taye
    • Year: 2021
    • Citations: 4

  • The Success and Failure of Western Political Philosophy in Contemporary Ethiopia

    • Author: T Adino
    • Year: 2022
    • Citations: 1

  • A Critical Appraisal of the World Bank’s Structural Adjustment Programs and Poverty Reduction Strategy Papers in Africa

    • Author: TA Taye
    • Year: 2022
    • Citations: Not available

  • China’s Growing Presence in the Horn of Africa Region Since 2000: An Integrating Partner?

    • Authors: T Adino, D Abebe
    • Year: 2025
    • Citations: Not available

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.

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🎓 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

Posted on by ScienceFather

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