Priya Tiwari | Medicinal | Women Researcher Award

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Ms. Priya Tiwari | Medicinal | Women Researcher Award

SRF-PhD Scholar, National Institute of Pharmaceutical Education and Research Raebareli Uttar Pradesh

 Priya Tiwari is a dedicated pharmaceutical researcher with a passion for drug discovery and development.  Currently pursuing a Ph.D. in Medicinal Chemistry at NIPER-Raebareli, she focuses on the synthesis of novel anti-tubercular agents.  She has published 14 Scopus-indexed papers, including one with an impact factor of 8, and holds two patents.  Her research spans computer-aided drug design, drug repurposing, and cost-effective pharmaceutical solutions.  With a strong academic record, she has secured top national ranks in GPAT (AIR-570), NIPER JEE Ph.D. (AIR-67), and CUCET (AIR-45).  She actively participates in national and international conferences, symposiums, and research collaborations. 🏅 An accomplished debater, she won the Zonal Silver Medal (U.P. Bundelkhand) in 2016.  Priya is committed to advancing pharmaceutical sciences and making impactful contributions to global healthcare through innovative research.

Profile

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🎓 Education 

10th (2012) – Kendriya Vidyalaya, A.F.S. Chakeri, Kanpur  CBSE  8.6 CGPA 12th (2014) – Kendriya Vidyalaya, A.F.S. Chakeri, Kanpur  CBSE  73.6% Diploma in Pharmacy (2016) – SRRT Mahila Polytechnic, Kanpur  BTEUP  72.6% B. Pharma (2019) – Uttar Pradesh University of Medical Sciences, Saifai  AKTU  76.8% M. Pharma (2022) – Guru Ghasidas Vishwavidyalaya (GGV), Bilaspur  Pharmaceutical Chemistry  8.95 CGPA Ph.D. (Pursuing) – NIPER-Raebareli  Medicinal Chemistry  3rd Year Competitive Exams – GPAT (AIR-570, 98.89 percentile), NIPER JEE Ph.D. (AIR-67), UPTU Rank (AIR-3, SLET for B.Pharm), CUCET (AIR-45, M.Pharm), JEECUP (Pharmacy)

💼 Experience 

Ph.D. Researcher (2022-Present) – NIPER-Raebareli  Conducting synthesis and characterization of novel anti-tubercular agents under Dr. Sandeep Chandrashekharappa. M.Pharm Research (2020-2022) – Guru Ghasidas Vishwavidyalaya (GGV)  Focused on computer-aided drug design of Vorinostat-based HDAC inhibitors for anticancer therapy. Academic Contributions Published 14 Scopus-indexed research papers (one with an impact factor of 8). Presented at national and international conferences, including NIPER Mohali & THSTI Faridabad. Industry & Teaching Exposure  Conducted webinars & seminars at the national level.  Contributed to patent filings and research collaborations in medicinal chemistry. Key Skills – Drug design, molecular docking, structure-activity relationships (SAR), and analytical techniques.

🏅 Awards & Honors 

GPAT (AIR-570, 98.89 percentile) – National Level Pharmacy Entrance Exam NIPER JEE Ph.D. (AIR-67) – Entry to Prestigious NIPER Institutes UPTU Rank (AIR-3, SLET for B.Pharm) – State-Level Entrance Exam CUCET (AIR-45, M.Pharm) – Central Universities Entrance Exam Zonal Silver Medal (2016) – Debate Competition (U.P. Bundelkhand) Registered Pharmacist – Uttar Pradesh Pharmacy Council (Since 2017)  National Seminar Participant – Research & Development of Natural Products, 2018 Best Research Paper Recognition – International Journal of Biological Macromolecules (IF-8) Patent Holder – Two Patents (India & South Africa) in Pharmaceutical Chemistry Scholarship Holder – Recognized for academic excellence in M. Pharma and Ph.D.

🔬 Research Focus 

Medicinal Chemistry – Synthesis & characterization of novel anti-tubercular agents. Drug Repurposing – Developing cost-effective treatments for tuberculosis and cancer. Computer-Aided Drug Design (CADD) – Specializing in molecular docking & virtual screening. Structure-Activity Relationship (SAR) – Analyzing and modifying bioactive compounds for better efficacy. Analytical Techniques – Expertise in HPLC, NMR, IR, UV, and mass spectrometry.  Scientific Publications – Published 14 Scopus-indexed papers and contributed to book chapters.  Patents & Innovations – Holds two patents for novel pharmaceutical formulations. Pharmaceutical Analysis – Developing efficient and low-cost drug testing methods. Sustainable Drug Development – Working on eco-friendly and cost-effective drug synthesis methods.  International Collaborations – Active in global research networks for advancing medicinal chemistry.

Conclusion

Dr. Priya Tiwari’s exemplary academic achievements, substantial research contributions, and dedication to medicinal chemistry make her a deserving candidate for the Women Researcher Award. Addressing the areas for improvement could further elevate her research career and impact in the scientific community.

Publication

Author(s): Priya Tiwari, Gayakvad Sunitaben Mangubhai, Saqib Kidwai, Ramandeep Singh, Sandeep Chandrashekharappa
Title: Design, synthesis and characterization of ethyl 3‐benzoyl‐7‐morpholinoindolizine‐1‐carboxylate as anti‐tubercular agents: In silico screening for possible target identification
Year: 2024
Citation (DOI): 10.1111/cbdd.14512

 

Author(s): Sandya Tambi Dorai, Kyatagani Lakshmikanth, Priya Tiwari, Surbhi Mahender Saini, Dr. Sandeep Chandrashekharappa
Title: One-pot construction of novel trifluoromethyl dihydro-imidazo[1,2-a]pyridine: A greener approach
Year: 2023
Citation (DOI): 10.1016/j.tet.2023.133691

 

Author(s): Sandya Tambi Dorai, Priya Tiwari, Yashi Dwivedi, Sandeep Chandrashekharappa
Title: Surfactant Sensors for Food Quality Monitoring (Book Chapter)
Year: 2023
Citation (DOI): 10.1039/bk9781837671182-00149

 

Author(s): Vijay K. Patel, Ekta Shirbhate, Priya Tiwari, Rakesh Kore, Ravichandran Veerasamy, Achal Mishra, Harish Rajak
Title: Multi-targeted HDAC Inhibitors as Anticancer Agents: Current Status and Future Prospective
Year: 2023
Citation (DOI): 10.2174/0929867329666220922105615

 

Author(s): Ekta Shirbhate, Vijay K. Patel, Priya Tiwari, Rakesh Kore, Ravichandran Veerasamy, Achal Mishra, Harish Rajak
Title: Combination Therapy for the Treatment of Alzheimer’s Disease: Recent Progress and Future Prospects
Year: 2022
Citation (DOI): 10.2174/1568026622666220907114443

Teresa Peixoto | Data Quality in Smart Manufacturing | Young Scientist Award

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Mrs. Teresa Peixoto | Data Quality in Smart Manufacturing | Young Scientist Award

Student Research, CIICESI, School of Management and Technology, Porto Polytechnic, Portugal

Teresa Peixoto is a passionate software engineer from Felgueiras, Portugal, specializing in full-stack development and data quality research. She holds a Bachelor’s and is pursuing a Master’s in Computer Engineering at the School of Technology and Management – IPP. Teresa has experience in backend and frontend development, working with technologies such as Java, Spring Boot, Vue.js, and SQL. Currently, she is a student researcher at CIICESI, focusing on data quality in big data and Industry 4.0. She previously interned as a Full-Stack Developer at BIMMS, enhancing digital construction platforms. An active member of ESTG’s academic life, she served as President of the AvenTUNA female musical group. She is also a former speed skater. Teresa’s technical skills and problem-solving abilities drive her contributions to innovative projects, from microservices-based transport solutions to Web3 applications. She is committed to advancing software development and data quality research.

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📌 Education 

Teresa Peixoto is currently pursuing a Master’s Degree in Computer Engineering at the School of Technology and Management – IPP (2023–Present), focusing on advanced computing techniques and software engineering principles. She previously earned her Bachelor’s Degree in Computer Engineering (2019–2023) from the same institution, where she gained extensive experience in software development, databases, and system architecture. During her studies, she actively engaged in academic projects, including Portugal Transports, a microservices-based system improving train travel experiences, and HereNow, a blockchain-powered event participation and NFT-based POAP management platform. Her academic journey is complemented by extracurricular involvement, including her leadership role in the ESTG Academic Female Musical Group, AvenTUNA, and her participation in school sports as a speed skater. Teresa’s dedication to education and hands-on learning has equipped her with technical proficiency in programming languages, agile methodologies, and data management strategies essential for her career in software engineering.

📌 Experience 

Teresa Peixoto is a Student Researcher at CIICESI (Feb 2024–Present) in Porto, Portugal, contributing to the PRODUTECH R3 project. She researches and develops methods for data quality management in big data, data streaming, and Industry 4.0, utilizing Python, Data Profiling, IoT, and Data Quality Metrics. Previously, she worked as a Full-Stack Developer Intern at BIMMS (Feb 2023–June 2023), where she improved the Digi4Construction digital platform. Her key contributions included automated project status reports, an intuitive interface for report customization, and JSON data integration to enhance functionality. She has also developed innovative academic projects such as Portugal Transports, a microservices-based system for train journey optimization, and HereNow, a Web3 event participation and POAP management platform. Teresa’s experience spans backend and frontend development, database management, and software architecture, making her a well-rounded engineer ready to tackle complex software challenges.

📌 Awards & Honors 

Teresa Peixoto has demonstrated excellence in both technical and extracurricular fields, earning recognition for her academic achievements, leadership, and innovation. During her tenure as President of AvenTUNA (2022/2023), she led the group to multiple performances and competitions, fostering a strong academic culture. In competitive programming and hackathons, she received accolades for her innovative solutions in software development and data quality research. Her Portugal Transports project, developed as part of her academic work, was recognized for its efficient microservices architecture and real-world applicability in smart transportation. Additionally, her blockchain-based HereNow project received praise for integrating NFT technology into event management. Teresa also excelled in speed skating from 2012 to 2019, competing at a high level and showcasing her dedication and discipline. Her commitment to software engineering, data quality research, and leadership continues to earn her recognition in both academic and professional circles.

📌 Research Focus  

Teresa Peixoto’s research focuses on data quality management in big data, Industry 4.0, and data streaming environments. As part of her role at CIICESI, she contributes to the PRODUTECH R3 project, developing advanced methods for ensuring data integrity and accuracy. Her work revolves around data profiling, data quality dimensions, data metrics, and IoT-based data validation, leveraging Python and machine learning techniques to enhance data reliability. Teresa is particularly interested in how AI and automation can optimize real-time data processing in smart manufacturing. Her academic projects, such as Portugal Transports and HereNow, reflect her expertise in integrating modern technologies like microservices, blockchain, and real-time analytics into practical applications. Through her research, Teresa aims to address challenges in data governance, anomaly detection, and predictive analytics, contributing to the advancement of data-driven decision-making in industrial and smart factory environments.

🔍 Conclusion

Teresa Peixoto is a strong candidate for the Young Scientist Award, given her research in data quality, technical expertise, and leadership skills. While she has demonstrated significant innovation and problem-solving abilities, further academic publications and global recognition in competitions could strengthen her profile. With her dedication to research, technical excellence, and interdisciplinary contributions, she has great potential to become a leading figure in smart manufacturing and data-driven innovation.

Publication

Author: Peixoto, T., Oliveira, B., Oliveira, Ó., Ribeiro, F., & Pereira, C.
Title: Extensible Data Ingestion System for Industry 4.0
Year: 2025
Citation: Peixoto et al. (2025) https://doi.org/10.1007/978-3-031-73503-5_9

Author: Peixoto, T., Oliveira, B., Oliveira, Ó., & Ribeiro, F.
Title: Data Quality Assessment in Smart Manufacturing: A Review
Year: 2025
Citation: Peixoto et al. (2025) https://doi.org/10.3390/systems13040243

ASNIT GANGWAR | Materials chemistry | Excellence in Research

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Dr. ASNIT GANGWAR | Materials chemistry | Excellence in Research

Assistant Professor, Shri Vishnu Engineering College for Women Bhimavaram Andhra Pradesh

Dr. Asnit Gangwar is an Assistant Professor in the Mechanical Engineering Department at Shri Vishnu Engineering College for Women, Bhimavaram, India. With a Ph.D. in Metallurgical & Materials Engineering from IIT (BHU), Varanasi, he specializes in structural modeling, synthesis, and characterization of advanced materials. His research spans nanocomposites, ceramics, magnetic materials, and energy storage. Dr. Gangwar has worked as a Post-Doctoral Research Associate at Bhabha Atomic Research Centre (BARC) and as a Research Associate at IIT (BHU). He has numerous high-impact publications, collaborating with leading national and international researchers. His expertise in materials science and engineering has significantly contributed to functional materials, biomedical applications, and nanotechnology.

Profile

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🎓 Education

Ph.D. (2015-2020): Metallurgical & Materials Engineering, IIT (BHU), Varanasi (CGPA: 8.58/10). M.Tech (2012-2014): Metallurgical & Materials Engineering, IIT (BHU), Varanasi (CGPA: 7.7/10). B.Tech (2008-2012): Mechanical Engineering, ITS Engineering College, Greater Noida (Affiliated with AKTU, Lucknow) (70.4%).

🏅 Experience 

Assistant Professor (Dec 2023-Present): Shri Vishnu Engineering College for Women, Bhimavaram. Post-Doctoral Research Associate (2022-2023): Bhabha Atomic Research Centre (BARC), Mumbai (~1 year 10 months). Research Associate (2020-2022): IIT (BHU), Varanasi (~1 year 8 months).

🏆 Awards & Honors

High-Impact Publications: Over 30 international SCI-indexed papers. Citations & Indexing: 517 citations, h-index 14, i10-index 19. Research Excellence: Recognized for outstanding contributions in material science. Academic Collaborations: Works with top national and international institutions. Reviewer for Journals: Peer-reviewing for high-impact research publications.

🔬 Research Focus 

Dr. Gangwar’s research interests include structural modeling of new materials, synthesis of advanced functional materials, ceramics, nanocomposites, and magnetic materials. He focuses on theranostics, targeted drug delivery, energy storage materials, and designing functional nano-heaters. His work integrates biomedical applications with materials engineering, developing novel solutions for multimodal therapy and bioimaging. His studies on photoacoustic image-guided chemo-photothermal therapy and supercapacitors for energy storage are cutting-edge.

🏆 Conclusion

Dr. Asnit Gangwar is a highly competitive candidate for the Excellence in Research Award, particularly for his extensive publication record, international collaborations, and impactful research in nanomaterials and energy storage. Strengthening his leadership in independent projects, securing industry collaborations, and receiving major research fellowships could further enhance his candidacy.

Publication

  • Structural, magnetic, and biocompatibility evaluations of chromium substituted barium hexaferrite (Co2–Y) for hyperthermia application (2023) – M. Suthar, D. Khare, A. Gangwar, S. Banerjee, N.K. Prasad, A.K. Dubey – 25 citations

  • Magnetic nanocomposites of Fe3C or Ni-substituted (Fe3C/Fe3O4) with carbon for degradation of methylene orange and p-nitrophenol (2021) – A. Gangwar, A. Singh, S. Pal, I. Sinha, S.S. Meena, N.K. Prasad – 22 citations

  • Effect of Gd3+ substitution on proton relaxation and magnetic hyperthermia efficiency of cobalt ferrite nanoparticles (2020) – D. Jaison, A. Gangwar, P.N. Kishore, G. Chandrasekaran, M. Mothilal – 22 citations

  • Nanocomposite of (α-Mn3O4/MnO)@ rGO as a high performance electrode material for supercapacitors (2021) – A. Gangwar, T. Das, S.K. Shaw, N.K. Prasad – 20 citations

  • Physical and in-vitro evaluation of ϵ-Fe3N@ Fe3O4 nanoparticles for bioapplications (2020) – A. Gangwar, S.S. Varghese, S.S. Meena, C.L. Prajapat, M.K. Viswanadh – 18 citations

  • Synthesis and structural characterization of CoxFe3−xC (0≤x≤0.3) magnetic nanoparticles for biomedical applications (2019) – A. Gangwar, G. Singh, S.K. Shaw, R.K. Mandal, A. Sharma, S.S. Meena – 17 citations

  • Structural and electrochemical performance studies for nanocomposites of carbon with Fe3C or Mn-Substituted (Fe3C/Fe3O4) as anodes for Li-batteries (2020) – A. Gangwar, A. Sharma, S.K. Shaw, S.S. Meena, N.K. Prasad – 14 citations

  • Structural and in-vitro assessment of ZnxFe3−xC (0≤x≤1) nanoparticles as magnetic biomaterials (2020) – A. Gangwar, S. Kumar, S.S. Meena, A. Sharma, M.K. Viswanadh, K. Neogi – 14 citations

  • Mössbauer study and curie temperature configuration on sintering Nano-Ni-Zn ferrite powder (2019) – M.M. Kothawale, R.B. Tangsali, S.S. Meena, N.K. Prasad, A. Gangwar – 14 citations

  • Ferrimagnetic (α-Mn3O4/MnO)@ rGO nanocomposite as potential adsorbent for organic pollutant dye (2023) – A. Gangwar, S.K. Shaw, A. Sharma, S.K. Alla, S. Kavita, M. Vasundhara – 12 citations

  • Assessment of ionic site distributions in magnetic high entropy oxide of (Mn0·2Fe0·2Co0·2Ni0·2Zr0.2)3O4 and its catalytic behaviour (2023) – S.K. Shaw, P. Kumari, A. Sharma, N. Jatav, A. Gangwar, N.S. Anuraag – 11 citations

 

Adrian Zając | Neurobiology | Young Scientist Award

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Adrian Zając | Neurobiology | Young Scientist Award

Assistant professor/academic teacher/researcher, Institute of Biological Sciences, Maria Curie-Skłodowska University in Lublin Poland

A dedicated molecular biologist specializing in cancer research, particularly brain tumors. With a PhD from Maria Curie-Skłodowska University, Lublin, they have contributed significantly to molecular biology, cancer biology, and genetic engineering. As an Assistant Professor, they conduct cutting-edge research on programmed cell death, 3D cell cultures, and molecular drug mechanisms. They actively participate in national and international conferences, mentor students, and serve as a reviewer for peer-reviewed journals. Their research has led to 25 publications (IF ~ 90, h-index = 9). A member of prestigious scientific societies, they also coordinate workshops and research projects.

Profile

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🎓 Education

MSc, Maria Curie-Skłodowska University, Lublin (2013–2015) – Received the Minister of Science and Higher Education Scholarship for outstanding academic achievements. PhD, Maria Curie-Skłodowska University, Lublin (2020) – Focused on molecular and cancer biology, specializing in brain tumors and cell culture techniques.

💼 Experience

PhD Candidate, Maria Curie-Skłodowska University (2015–2018) – Conducted cancer biology research, focusing on brain tumors using molecular and cellular techniques. Assistant, Maria Curie-Skłodowska University (2018–2021) – Researched normal neural cells and tumors, specializing in immunoprecipitation, confocal microscopy, and apoptosis studies. Assistant Professor, Maria Curie-Skłodowska University (2021–present) – Leads cancer biology research, mentors students, coordinates projects, and teaches molecular biology courses. Molecular Biology Investigator, Polish Academy of Sciences (2021–2024) – Works on SONATA grant projects, applying molecular and biochemical techniques for cancer studies.

🏆 Awards & Honors

Scholarship from the Minister of Science and Higher Education for outstanding academic performance. Principal Investigator of a National Science Center-funded research project. Member of European Federation of Biochemistry Societies, European Cooperation in Science and Technology Program, and Translacore Project. Organizing Committee Member of International EMBO Workshops. Reviewer for peer-reviewed scientific journals.

🔬 Research Focus

Molecular & Cancer Biology – Specializing in brain tumors, 3D cell cultures, and apoptosis mechanisms. Genetic Engineering – Designing and cloning genetic constructs for cancer research. Microscopy & Biochemical Techniques – Expertise in confocal and electron microscopy, SDS-PAGE, Western blotting, ELISA, and binding assays. Drug Mechanisms & Targeted Therapies – Investigating molecular pathways and drug responses in cancer treatment.

Conclusion 

The candidate is highly suitable for the Young Scientist Award, given their strong publication record, leadership roles, methodological expertise, and research impact in molecular and cancer biology. With continued funding acquisition, interdisciplinary expansion, and high-impact publications, they can further establish themselves as a leading scientist in their field.

Publication

Yufei Zhu | Steel structure | Best Researcher Award

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Assoc. Prof. Dr. Yufei Zhu | Steel structure | Best Researcher Award

Associate Professor, Shanghai Normal University

 Dr. Zhu Yufei is an Associate Professor at Shanghai Normal University, specializing in high strength steel and advanced analysis. With a robust academic background, she earned her MSc and PhD from Imperial College London, where she focused on structural steel design. Dr. Zhu has contributed extensively to research on high strength steel frames, I-section beams, and welded steel structures. Her work has been published in top-tier journals, and she is recognized for her expertise in structural engineering and innovative approaches to steel construction.

Profile

Scholar

Education

2024 – Present: Associate Professor, Shanghai Normal University, China 2023 – 2024: Lecturer, Shanghai Normal University, China  2019 – 2023: PhD, Imperial College London, UK (Supervisor: Prof. Leroy Gardner)  2018 – 2019: MSc, Structural Steel Design (Distinction), Imperial College London, UK 2014 – 2018: BSc, Civil Engineering, Tongji University, China

Experience

2024 – Present: Associate Professor, Shanghai Normal University, China 2023 – 2024: Lecturer, Shanghai Normal University, China  2019 – 2023: PhD Researcher, Imperial College London, UK 2017 – 2021: Participant in the Research Fund for Coal and Steel European Research Project (STROBE) Contributed to multiple high-strength steel research papers, focusing on I-section beams and steel frames.

Awards & Honors

Best Paper Award 2022 in Engineering Structures (Steel and Space Structures category) for “Benchmark tests on high strength steel frames”  Early Career Recognition for Excellence in Structural Steel Research Invited reviewer for SCI-indexed journals like Structures and Steel and Composite Structures Participant in prestigious international projects like the Research Fund for Coal and Steel (STROBE)

Research Focus

Dr. Zhu’s research focuses on high strength steel, including the behavior and design of welded I-section beams, hybrid steel frames, and advanced numerical modelling.  Her studies explore residual stresses, finite element modelling, and cross-sectional behavior under compression and bending.  She has published numerous papers in top journals, contributing significantly to the understanding of steel structures and their applications in the built environment. Current research involves the effects of moment gradients on load-carrying capacity in stainless-steel SHS and RHS beams.

Conclusion 

Dr. Yufei Zhu is a highly accomplished researcher with a robust educational background, a series of influential publications, and significant contributions to the field of structural engineering, particularly in high-strength steel. Her leadership in research projects and academic achievements, including her recognition with the Best Paper Award, make her an outstanding candidate for the Best Researcher Award. With slight expansion into interdisciplinary areas and increased public engagement, she could further amplify her already impressive impact on the field.

Publication

Authors: X Yun, Y Zhu, X Meng, L Gardner
Title: Welded steel I-section columns: Residual stresses, testing, simulation, and design
Year: 2023
Citations: 37Authors: Y Zhu, X Yun, L Gardner
Title: Behaviour and design of high strength steel homogeneous and hybrid welded I-section beams
Year: 2023
Citations: 23

Authors: X Yun, Y Zhu, Z Wang, L Gardner
Title: Benchmark tests on high strength steel frames
Year: 2022
Citations: 19

Authors: T Schreiter, T Rodrigues de Almeida, Y Zhu, E Gutierrez Maestro, …
Title: THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction
Year: 2024
Citations: 10

Authors: N Baddoo, M Sansom, R Pimentel, M Lawson, A Chen, F Meza, …
Title: Stronger steels in the built environment (STROBE)
Year: 2021
Citations: 8

Authors: Y Zhu, NA Hackner, PMR Brydon
Title: Bound states around impurities in a superconducting bilayer
Year: 2023
Citations: 7

Authors: Y Zhu, X Yun, L Gardner
Title: Numerical modelling and design of normal and high strength steel non-slender welded I-section beam–columns
Year: 2023
Citations: 6

Authors: X Yun, Y Zhu, L Gardner
Title: Design of welded steel I-section members by GMNIA with CSM strain limits
Year: 2023
Citations: 1

Authors: Z Yang, Y Zhu, S Su, Y Chen, C Huang, GQ Li
Title: Moment gradient effects on load-carrying capacity of stainless-steel SHS and RHS beams
Year: 2025
Citations: Not available yet

Authors: Y Zhu, PMR Brydon
Title: The role of superconducting fitness in pairing from fluctuating order
Year: 2024
Citations: Not available yet

Authors: F Walport, Y Zhu, X Yun, L Gardner
Title: Experimental and numerical datasets for benchmark tests on high strength steel I-section frames
Year: 2024
Citations: Not available yet

Authors: Y Zhu, X Yun, L Gardner
Title: Behaviour, finite element modelling and design of high strength steel homogeneous and hybrid welded I-section beams
Year: 2023
Citations: Not available yet

Authors: X Yun, Y Zhu, L Gardner
Title: Experimental investigation of steel frames made of hybrid steel welded I-sections
Year: 2023
Citations: Not available yet

ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

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Assist. Prof. Dr. ABDULLAH INCEKARA | Geomatics Engineering | Best Researcher Award

Assistant Professor, TOKAT GAZIOSMANPASA UNIVERSITY

Abdullah Harun Incekara is an Assistant Professor at Tokat Gaziosmanpasa University in the Department of Geomatics Engineering. He holds a Ph.D. in Geomatics Engineering from Istanbul Technical University, where his research focused on improving the quality of historical aerial photographs. His expertise spans lidar-based mapping, remote sensing, photogrammetry, and UAV technology. Abdullah has published extensively in international journals and conferences, contributing to advancements in geospatial technologies. His work bridges the gap between theoretical research and practical applications in geomatics, particularly in the areas of shoreline extraction and the enhancement of spatial quality using super-resolution techniques.

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🎓 Education

Ph.D. in Geomatics Engineering, Istanbul Technical University (2018-2024), GPA: 3.79/4.00 M.Sc. in Geomatics Engineering, Istanbul Technical University (2016-2018), GPA: 3.75/4.00 B.Sc. in Geomatics Engineering, Istanbul Technical University (2011-2016), GPA: 3.26/4.00 Abdullah completed his Ph.D. and M.Sc. studies at Istanbul Technical University, focusing on innovative applications in geomatics, with particular interest in the enhancement of aerial photographs and shoreline mapping through advanced computational techniques. His solid academic background underpins his research contributions to geospatial data analysis and engineering.

💼 Experience

Assistant Professor, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2024–present) Research Assistant, Department of Geomatics Engineering, Tokat Gaziosmanpasa University (2017–2024) Abdullah Harun Incekara has an extensive academic career, progressing from a Research Assistant to Assistant Professor at Tokat Gaziosmanpasa University. His professional focus has been on geomatics, incorporating geospatial technologies like UAVs and lidar in applied and research projects. His contributions to the department include mentoring students and advancing the study of spatial data quality, including enhancing historical imaging techniques.

🏆 Awards & Honors

Best Paper Award, International Conference on Remote Sensing (2017) Outstanding Research Award, Tokat Gaziosmanpasa University (2021) Early Career Excellence Award, Istanbul Technical University (2019) Abdullah has received multiple recognitions for his academic excellence and research contributions. Notably, his innovative work in geomatics has earned him several accolades, including awards for outstanding research and best paper presentations in international conferences, reinforcing his status in the field.

🔬 Research Focus

Abdullah’s research primarily focuses on geomatics engineering, emphasizing remote sensing, UAV-based photogrammetry, and historical aerial photograph enhancement. His Ph.D. work on super-resolution techniques for spatial data quality has led to significant findings that improve the usability of historical imagery. His publications also explore the environmental impact assessments using satellite imagery and the application of geomatics in urban planning and agriculture. His ongoing research aims to bridge gaps in geospatial technology applications, making them more efficient and accurate for real-world solutions.

Conclusion 

Abdullah Harun Incekara is a highly deserving candidate for the Best Researcher Award due to his exceptional academic background, strong research contributions, and innovative approach to Geomatics Engineering. His work in remote sensing and environmental monitoring exemplifies cutting-edge scientific exploration. With continued global collaborations and diversification in research topics, Incekara has the potential to further establish himself as a leader in the geospatial sciences field.

Publication

Title: Investigating the utility potential of low-cost unmanned aerial vehicles in the temporal monitoring of a landfill
Authors: AH Incekara, A Delen, DZ Seker, C Goksel
Year: 2019
Citations: 37

 

Title: Qualifying the LIDAR-derived intensity image as an infrared band in NDWI-based shoreline extraction
Authors: AH Incekara, DZ Seker, B Bayram
Year: 2018
Citations: 21

 

Title: Interpreting Temperature Based Discontinuity and Roughness of Rock Surfaces by Using Photogrammetric Technique
Authors: AH İncekara, DZ Şeker, CS Tezcan, E Bozkurtoglu, C Gazioğlu
Year: 2017
Citations: 12

 

Title: Comparative analyses of the point cloud produced by using close-range photogrammetry and terrestrial laser scanning for rock surface
Authors: AH Incekara, DZ Seker
Year: 2018
Citations: 11

 

Title: Rolling shutter effect on the accuracy of photogrammetric product produced by low-cost UAV
Authors: AH İncekara, DZ Seker
Year: 2021
Citations: 9

 

Title: Investigating the suitability of mirrorless cameras in terrestrial photogrammetric applications
Authors: AH Incekara, DZ Seker, A Delen, A Acar
Year: 2017
Citations: 7

 

Title: Using unmanned aerial vehicles for open mining areas: Current applications and future potentials
Authors: AH Incekara, O Yildirim, T Susam, DZ Seker
Year: 2016
Citations: 4

 

Title: Minimizing the Limitations in Improving Historical Aerial Photographs with Super-Resolution Technique
Authors: AH Incekara, U Alganci, O Arslan, DZ Seker
Year: 2024
Citations: 1

 

Title: The potential contribution of remotely sensed images for GreenMetric ranking
Authors: AH İncekara, EY Basaran, DZ Seker
Year: 2022
Citations: 1

 

Title: USING SATELLITE IMAGERIES AND ORTHOPHOTO TO QUANTIFY ENVIRONMENTAL IMPACT OF MINING ACTIVITIES IN FOREST AREA
Authors: AH Incekara, A Delen, DZ Seker, FB Sanli, T Susam
Year: 2019
Citations: 1

 

Title: Combination of UAV Based Digital Surface Model with 3D Model Of ITU Bicycle House Produced by Close-Range Photogrammetry
Authors: Y Albeni, B Sariturk, ME Atik, O Ozturk, Z Duran, DZ Seker, B Bayram, …
Year: 2018
Citations: 1

Gergely Roland-Henriu | Psychology | Young Scientist Award

Published on by Young Scientists Awards

Dr. Gergely Roland-Henriu | Psychology | Young Scientist Award

Associate Lecturer, Babes-Bolyai University

Dr. Roland-Henriu Gergely is an Associate Lecturer at the Department of Applied Psychology, Babes-Bolyai University, Cluj-Napoca, Romania . He specializes in applied psychology, clinical psychology, and cognitive behavioral therapy . With a strong background in psychological research, he has contributed significantly to the study of parental attitudes, giftedness, and inclusive education . Alongside academia, he is a licensed clinical psychologist, conducting psychodiagnostics, cognitive assessments, and short-term therapeutic interventions . He actively participates in international conferences, workshops, and professional organizations .

Profile

Scholar

Orcid

🎓 Education 

Dr. Gergely earned his Ph.D. in Education, Reflection, and Development from Babes-Bolyai University (2021-2024) . He holds a Master’s in Clinical and Public Health Psychology (2022-2024) and another in Management, Counselling, and Psycho-Pedagogical Assistance (2019-2021) . His Bachelor’s degrees include Psychology (2017-2021) and Educational Sciences (2016-2019) . He also completed a Certified Cognitive Behavioral Therapy program from the Romanian Association of Cognitive and Behavioral Psychotherapies (2022-present) . Additionally, he is certified in teacher training and clinical psychology .

🏢 Experience 

Dr. Gergely is an Associate Lecturer at Babes-Bolyai University (2024-present) . He was a Teaching Assistant (2022-2023) and Research Assistant (2021-2024) at the same institution . He also runs a private clinical psychology practice (2022-present), specializing in psychodiagnostics, counseling, and cognitive assessments . His expertise extends to organizing and analyzing research data, literature reviews, and university seminars on psychological topics .

🏆 Awards & Honors 

Dr. Gergely received the prestigious Collegium Talentum Scholarship (2023-2024) . He has presented at international conferences, including ERD 2022 and API Conferences, receiving recognition for his research on parental training and sexual education for children with ASD . His psychometric validation studies have been widely cited and acknowledged in academic circles .

🔬 Research Focus 

Dr. Gergely’s research focuses on inclusive education, giftedness, emotional and behavioral disorders, and parental attitudes toward sexual education . He specializes in psychometric validation, cognitive behavioral therapy, and psychological assessments for children with special needs . His studies explore autism, ADHD, and mental health interventions, contributing to evidence-based clinical psychology .

🔹 Conclusion

Dr. Roland-Henriu Gergely is a strong candidate for the Young Scientist Award due to his impressive academic background, significant research output, and active role in the scientific community. Strengthening international research networks, securing major grants, and publishing in top-tier journals would further enhance his competitiveness. However, his contributions to developmental psychology and inclusive education make him a deserving nominee.

Publication

Author(s): RH Gergely, AS Rusu
Title: A qualitative investigation of parental attitudes and needs for sexual health education for children with autism in Romania
Year: 2021
Citation Count: 4

 

Author(s): RH Gergely, AS Rusu
Title: Romanian and Hungarian Translations of the Attitudes Toward Sexuality Scale-Psychometric Validation
Year: 2023
Citation Count: 3

 

Author(s): RH Gergely, AS Rusu, M Madaras, KJ Kinga
Title: Does talent protect or compromise? Investigation of the emotional and behavioural disorders and giftedness in children
Year: 2024
Citation Count: 2

 

Author(s): RH Gergely, AS Rusu
Title: Linguistic Validation of the Romanian and Hungarian Translations of the Attitudes About Sexuality for People with Disabilities Questionnaire
Year: 2022
Citation Count: 1

 

Author(s): RH Gergely, AS Rusu
Title: Predictors of parental attitudes towards sexual health education for persons with special needs
Year: 2025
Citation Count: Not available

 

Author(s): K Szász, R Orbán, RH Gergely
Title: Teachers’ attitudes toward inclusive education in Romania
Year: 2024
Citation Count: Not available

 

Author(s): S Krisztina, O Réka, G Roland-Henriu
Title: Teachers’ attitudes toward inclusive education in Romania
Year: 2024
Citation Count: Not available

 

Author(s): RH Gergely
Title: Érzelmi hullámvasút: bipolaris zavarok serdülőkorban
Year: 2024
Citation Count: Not available

 

Author(s): RH Gergely
Title: Reményvesztettség: hangulatzavarok serdülőkorban
Year: 2024
Citation Count: Not available

 

Author(s): RH Gergely
Title: Rendbontás: viselkedészavarok serdülőkorban
Year: 2024
Citation Count: Not available

 

Author(s): RH Gergely, AS Rusu
Title: Elaborarea și testarea preliminară a unui conținut curricular de educație parentală pentru sănătatea sexuală a copiilor cu diagnostic clinic de TSA
Year: 2024
Citation Count: Not available

Camila Canaán-Haden | Biomedical research | Best Researcher Award

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Ms. Camila Canaán-Haden | Biomedical research | Best Researcher Award

PhD student, Center for Genetic Engineering and Biotechnology (CIGB)

Camila Canaán-Haden Ayala is a Cuban researcher specializing in cancer immunotherapy. She works at the Center for Genetic Engineering and Biotechnology (CIGB), focusing on developing therapeutic cancer vaccines and recombinant antigen production. Her expertise includes immune response evaluations using ELISA, FACS, ELISPOT, and cytokine assays in various models. She has contributed to COVID-19 clinical trials and vaccine development, including the Abdala vaccine. Camila has undertaken multiple international research fellowships in Italy, Spain, France, and Mexico. Her work aims to improve immunotherapeutic strategies against cancer by targeting immune checkpoints and optimizing vaccine efficacy.

Profile

Scholar

🎓 Education

Camila holds a Master’s in Contemporary Biotechnology (2019-2022) from CIGB and a Bachelor’s in Biochemistry and Molecular Biology (2012-2017) from the University of Havana. She completed postgraduate training in bioinformatics, immunology, protein engineering, and good laboratory practices. Her academic foundation includes mathematics, chemistry, molecular genetics, virology, and clinical biochemistry. She has pursued advanced studies in biomedical research through multiple international pre-doctoral fellowships.

💼 Experience

Since 2017, Camila has been a researcher at CIGB’s Cancer Immunotherapy Lab. She has led projects on immune checkpoint inhibition strategies and therapeutic cancer vaccine development. Her work includes antigen cloning, protein characterization, and immunogenicity studies in animal models. She has evaluated antitumor and anti-metastatic effects of novel therapies and contributed to clinical trials for COVID-19 treatments. She has also worked with antibody phage display libraries to develop scFv antibodies. Her research extends to immune response assessments for cancer and infectious disease vaccines.

🏆 Awards & Honors

Camila has received prestigious short-term pre-doctoral fellowships in Italy (ICGEB-Trieste, University of Padua), Spain (CIBIR), France (Cancer Research Center of Lyon), and Mexico (CICESE), funded by international programs like IILA, Coimbra Group, and EU Ventana Adelante. Her contributions to COVID-19 vaccine research have been recognized in published scientific papers. She has played a key role in Cuban clinical trials for novel immunotherapies and has received funding for advanced research in biotechnology and immunology.

🔍 Research Focus

Camila’s research centers on cancer immunotherapy, focusing on immune checkpoint inhibition and tumor vaccine development. She specializes in recombinant antigen production, immune response characterization, and antibody-based therapies. Her projects involve antigen cloning, protein engineering, and evaluating vaccine efficacy in preclinical models. She has explored the combination of immunotherapies targeting VEGF and PD-L1 pathways to enhance anti-tumor responses. Her work has also contributed to COVID-19 vaccine research, particularly in evaluating immunogenicity and antibody responses.

Conclusion

Camila Canaán-Haden Ayala’s academic and professional trajectory is exceptional, with significant contributions to cancer immunotherapy and vaccine development. Her technical expertise, international exposure, and scientific output make her a strong contender for the Best Researcher Award. With a continued focus on expanding her clinical research impact, publishing in high-impact journals, and taking on leadership roles, her potential to drive groundbreaking innovations is evident.

Publication

M Limonta-Fernández, G Chinea-Santiago, AM Martín-Dunn, …
Title: An engineered SARS-CoV-2 receptor-binding domain produced in Pichia pastoris as a candidate vaccine antigen
Year: 2022
Citation: 63

LA Espinosa, Y Ramos, I Andújar, EO Torres, G Cabrera, A Martín, …
Title: In-solution buffer-free digestion allows full-sequence coverage and complete characterization of post-translational modifications of the receptor-binding domain of SARS-CoV-2
Year: 2021
Citation: 15

YA Fleites, J Aguiar, Z Cinza, M Bequet, E Marrero, M Vizcaíno, I Esquivel, …
Title: HeberNasvac, a therapeutic vaccine for chronic hepatitis B, stimulates local and systemic markers of innate immunity: Potential use in SARS-CoV-2 postexposure prophylaxis
Year: 2021
Citation: 10

LA Espinosa, Y Ramos, I Andújar, EO Torres, G Cabrera, A Martín, …
Title: In-solution buffer-free digestion for the analysis of SARS-CoV-2 RBD proteins allows a full sequence coverage and detection of post-translational modifications in a single ESI
Year: 2021
Citation: 8

Y Morera-Díaz, C Canaán-Haden, J Sánchez-Ramírez, …
Title: Active immunization with a structurally aggregated PD-L1 antigen breaks T and B immune tolerance in non-human primates and exhibits in vivo anti-tumoral effects in
Year: 2023
Citation: 4

D Vázquez-Blomquist, M Bequet-Romero, Y Mendoza-Marí, G Lemos, …
Title: Nasalferon, a new nasal formulation of IFNα2b, modulates cellular and molecular elements associated with an antiviral response in mucosa and blood
Year: 2022
Citation: 4

EM Idelsis, PE Jésus, DR Yaquelin, VB Dania, BR Mónica, BR Lisandra, …
Title: A combination treatment of IFN-α2b and IFN-γ accelerates viral clearance and control inflammatory response in COVID-19: Preliminary results of a randomized controlled trial
Year: 2021
Citation: 4

C Canaán-Haden, J Sánchez-Ramírez, R Martínez-Castillo, …
Title: Immunogenicity and Safety Profile of Two Adjuvanted-PD-L1-Based Vaccine Candidates in Mice, Rats, Rabbits, and Cynomolgus Monkeys
Year: 2025
Citation: N/A

Y Morera, M Bequet-Romero, F Hernández-Bernal, I González-Moya, …
Title: Preclinical and clinical significance of VEGF deprivation in ovarian cancer through a specific active immunotherapy
Year: 2023
Citation: N/A

Adela Oliva Chavez | Entomology | Young Scientist Award

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Dr. Adela Oliva Chavez | Entomology | Young Scientist Award

Assistant Professor, University of Wisconsin, Madison

Dr. Adela Sarahi Oliva Chávez is an Assistant Professor at the University of Wisconsin, Madison, in the Department of Entomology. She specializes in vector-borne diseases, particularly tick-pathogen interactions, immunology, and vaccine development. She previously held positions as an Assistant Professor at Texas A&M University and a Post-Doctoral Researcher at the University of Maryland and CIRAD. Dr. Oliva Chávez has secured over $1.35 million in research funding and has been featured in prominent media outlets. Her work focuses on understanding extracellular vesicles in ticks to develop novel vaccines and control strategies against tick-borne pathogens.

Profile

Scholar

Orcid

🎓 Education

Dr. Oliva Chávez earned her Ph.D. in Entomology from the University of Minnesota (2008–2013) and her M.Sc. in Entomology from the same institution (2005–2008). She holds a B.Sc. in Agricultural Engineering from the Pan-American School of Agriculture “Zamorano” in Honduras (2000–2003). Her academic journey has been centered on entomology, vector-borne diseases, and host-pathogen interactions.

👩‍🏫 Professional Experience

Dr. Oliva Chávez is currently an Assistant Professor at the University of Wisconsin, Madison, and an Affiliated Assistant Professor in the Department of Pathobiological Sciences. Previously, she was an Assistant Professor at Texas A&M University (2019–2023) and a Post-Doctoral Researcher at the University of Maryland School of Medicine (2016–2019) and CIRAD in Guadeloupe (2014–2016). Her research has focused on tick immunology, disease transmission, and vaccine development.

🏆 Awards & Honors

Dr. Oliva Chávez has received numerous competitive research grants, including USDA NIFA and USDA ARS funding, totaling over $1.35 million. Her work has been featured in media outlets like Texas Farm Bureau and Today at TAMU. She has also received internal grants from Texas A&M University, recognizing her contributions to vector-borne disease research.

🔬 Research Focus

Dr. Oliva Chávez’s research investigates tick-host-pathogen interactions, extracellular vesicles in ticks, and vaccine development to control tick-borne diseases. Her work integrates molecular biology, immunology, and genetics to develop novel tick control strategies. She has published extensively in peer-reviewed journals on tick-borne pathogens, acaricide resistance, and immunomodulation mechanisms in vector biology.

Conclusion

Dr. Adela Sarahi Oliva Chávez is an exceptional candidate for the Young Scientist Award. Her extensive academic achievements, groundbreaking research in tick-borne diseases, significant funding accomplishments, and dedication to mentorship and scholarly contributions establish her as a leader in the field of entomology. While there are opportunities to broaden her impact through additional outreach and diversification of research focus, her qualifications and contributions clearly merit recognition with this award.

Publication

Authors: EE McClure, ASO Chávez, DK Shaw, JA Carlyon, RR Ganta, SM Noh
Title: Engineering of obligate intracellular bacteria: progress, challenges and paradigms
Year: 2017
Citation Count: 161

Authors: CM Nelson, MJ Herron, RF Felsheim, BR Schloeder, SM Grindle
Title: Whole genome transcription profiling of Anaplasma phagocytophilum in human and tick host cells by tiling array analysis
Year: 2008
Citation Count: 135

Authors: DK Shaw, X Wang, LJ Brown, ASO Chávez, KE Reif, AA Smith
Title: Infection-derived lipids elicit an immune deficiency circuit in arthropods
Year: 2017
Citation Count: 123

Authors: DG Quadros, TL Johnson, TR Whitney, JD Oliver, AS Oliva Chávez
Title: Plant-derived natural compounds for tick pest control in livestock and wildlife: Pragmatism or Utopia?
Year: 2020
Citation Count: 64

Authors: RF Felsheim, ASO Chávez, GH Palmer, L Crosby, AF Barbet
Title: Transformation of Anaplasma marginale
Year: 2010
Citation Count: 58

Authors: GD Baldridge, TJ Kurtti, N Burkhardt, AS Baldridge, CM Nelson
Title: Infection of Ixodes scapularis ticks with Rickettsia monacensis expressing green fluorescent protein: a model system
Year: 2007
Citation Count: 55

Authors: AS Oliva Chávez, DK Shaw, UG Munderloh, JHF Pedra
Title: Tick humoral responses: marching to the beat of a different drummer
Year: 2017
Citation Count: 50

Authors: AS Oliva Chávez, X Wang, L Marnin, NK Archer, HL Hammond
Title: Tick extracellular vesicles enable arthropod feeding and promote distinct outcomes of bacterial infection
Year: 2021
Citation Count: 45

Authors: EE McClure Carroll, X Wang, DK Shaw, AJ O’Neal, AS Oliva Chávez
Title: p47 licenses activation of the immune deficiency pathway in the tick Ixodes scapularis
Year: 2019
Citation Count: 45

 

Authors: M Pham, J Underwood, AS Oliva Chávez
Title: Changing the recipe: Pathogen directed changes in tick saliva components
Year: 2021
Citation Count: 33

Shengyu Lu | Artificial Intelligence | Young Scientist Award

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Dr. Shengyu Lu | Artificial Intelligence | Young Scientist Award

Tenure-Track Associate Professor, Harbin Engineering University

Shengyu Lu is a Tenure-Track Associate Professor at Harbin Engineering University, specializing in deep learning and computer vision. He obtained his Ph.D. in Computer Science from the University of Southampton (2020-2024) and has a strong background in software engineering and information security. With experience as a lecturer and teaching assistant, he has mentored students in machine learning, image processing, and programming. His research focuses on medical image analysis, particularly using deep learning for fracture discrimination and volumetric texture classification. He has collaborated with leading clinical experts and published extensively in high-impact journals. Shengyu has also served as a reviewer for prestigious journals, including Pattern Recognition and IEEE Transactions on Industrial Informatics. Recognized for his contributions, he has received multiple scholarships and awards, such as the Best Abstract Award in Rheumatology and the Best Oral Presentation Award at the WCSE Conference.

Profile

Scholar

Orcid

🎓 Education 

Ph.D. in Computer Science (2020-2024) – University of Southampton, specializing in deep learning and medical image analysis under the supervision of Sasan Mahmoodi and Mahesan Niranjan. Master’s in Software Engineering (2017-2020) – Xiamen University, focusing on machine learning, AI, and software development. Bachelor’s in Information Security (2013-2017) – Nanchang University, with expertise in cybersecurity and data protection. Throughout his academic journey, Shengyu Lu has developed advanced AI-driven solutions for medical imaging, object detection, and computational intelligence. His research integrates deep learning with real-world applications, particularly in healthcare and security. He has actively participated in conferences and received multiple scholarships, including the National Merit Scholarship and the China Scholarship Council (CSC) Scholarship. His educational background reflects a strong foundation in AI, computer vision, and software engineering, preparing him for impactful research and teaching.

💼 Work Experience 

Lecturer (2024-Present) – Harbin Engineering University, delivering lectures, mentoring students, and conducting AI research. Teaching Assistant (2020-2024) – University of Southampton, guiding master’s students in machine learning, image processing, and Python programming. Mentor (2021-2023) – University of Southampton, assisting master’s students in academic and career development. Teaching Assistant (2018-2019) – Xiamen University, instructing undergraduate students in software engineering and C programming. Shengyu Lu has a strong teaching portfolio, mentoring students in AI-related disciplines and conducting impactful research. His role as a lecturer involves fostering academic excellence while advancing research in deep learning and medical image analysis. With experience in both undergraduate and postgraduate education, he has developed expertise in curriculum development, student mentorship, and academic service.

🏆 Awards and Honors 

2022 – Best Abstract Award, Rheumatology 2020 – Best Oral Presentation Award, WCSE Conference 2020 – China Scholarship Council (CSC) Scholarship 2020 – Outstanding Graduate, Xiamen University m2019 – National Merit Scholarship 2019 – “Xuangong Wu” Research Scholarship 2018 – “Huawei” Scholarship 2017 – Outstanding Graduate, Nanchang University 2016-2014 – Multiple Excellent Student and Cadre Awards Recognized for his academic excellence and research contributions, Shengyu Lu has received numerous awards and scholarships. His outstanding performance in AI and deep learning has earned him national and international accolades. His achievements highlight his dedication to cutting-edge research and academic leadership.

🔬 Research Focus 

Shengyu Lu’s research centers on deep learning and computer vision, with a particular emphasis on medical image analysis. His work includes designing deep neural networks for fracture discrimination using high-resolution peripheral quantitative computed tomography (HR-pQCT) images. He develops AI-driven volumetric texture analysis techniques to assess cortical and trabecular compartments in bone structure. Collaborating with clinical experts from the MRC Lifecourse Epidemiology Centre and University Hospital, he integrates AI with medical diagnostics. His research extends to object detection, machine learning for protein-protein interactions, and real-time AI applications. He has published extensively in SCI-indexed journals such as Bone, IEEE Access, and Computers & Electrical Engineering. His innovative contributions improve automated medical diagnostics, reducing human error in clinical assessments. His work advances AI’s role in healthcare, bridging the gap between technology and medicine to enhance early disease detection and predictive analytics.

🔍 Conclusion

Shengyu Lu is a strong candidate for the Young Scientist Award, given his impressive academic achievements, impactful research contributions in deep learning for medical imaging, and international recognition. To further strengthen his candidacy, he could focus on securing independent research funding, leading high-impact clinical studies, and increasing first-author publications in top-tier journals.

Publication

Author: S Lu, B Wang, H Wang, L Chen, M Linjian, X Zhang
Title: A real-time object detection algorithm for video
Year: 2019
Citations: 145

Author: S Lu, B Wang, H Wang, Q Hong
Title: A hybrid collaborative filtering algorithm based on KNN and gradient boosting
Year: 2018
Citations: 20

Author: S Lu, H Chen, XZ Zhou, B Wang, H Wang, Q Hong
Title: Graph‐Based Collaborative Filtering with MLP
Year: 2018
Citations: 19

Author: L Chen, B Xu, J Chen, K Bi, C Li, S Lu, G Hu, Y Lin
Title: Ensemble-machine-learning-based correlation analysis of internal and band characteristics of thermoelectric materials
Year: 2020
Citations: 18

Author: S Lu, NR Fuggle, LD Westbury, MÓ Breasail, G Bevilacqua, KA Ward, …
Title: Machine learning applied to HR-pQCT images improves fracture discrimination provided by DXA and clinical risk factors
Year: 2023
Citations: 16

Author: S Lu, Q Hong, B Wang, H Wang
Title: Efficient resnet model to predict protein-protein interactions with GPU computing
Year: 2020
Citations: 15

Author: S Lu, B Wang
Title: An image retrieval algorithm based on improved color histogram
Year: 2019
Citations: 8

Author: NR Fuggle, S Lu, MÓ Breasail, LD Westbury, KA Ward, E Dennison, …
Title: OA22 Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors
Year: 2022
Citations: 5

Author: S Lu, S Mahmoodi, M Niranjan
Title: Robust 3D rotation invariant local binary pattern for volumetric texture classification
Year: 2022
Citations: 4

Author: S Lu, H Chen, L Peng, B Wang, H Wang, X Zhou
Title: A compression algorithm of FASTQ file based on distribution characteristics analysis
Year: 2018
Citations: 1