Mr Shuai Li | Corrosion Science | Best Researcher Award |

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Mr. Shuai Li | Corrosion Science | Best Researcher Award

associate professor, at North China University of Water Resources and Electric Power,  China.

Shuai Li is an Associate Professor and Head of the Department of Intelligent Manufacturing Engineering at North China University of Water Resources and Electric Power. He specializes in bonding mechanisms of dissimilar materials, filler metal design, and corrosion mechanisms of metal alloys, with a focus on microstructural evolution and mechanical properties of welded joints. He holds a Ph.D. in Materials Science and Engineering from Dalian University of Technology (2018) and a Master’s degree in Material Processing Engineering from Henan University of Science and Technology (2014). His research has been supported by prestigious grants from the National Natural Science Foundation of China (NSFC) and the Henan Youth Science Fund Project. With numerous high-impact publications in journals like Corrosion Science and the Journal of Manufacturing Processes, his work has significantly contributed to advancements in metallurgy, welding technology, and material durability. As a dedicated educator, he teaches Mechanical Engineering Materials, Additive Manufacturing Technology, and Engineering Chemistry, shaping future engineers while continuing to lead innovative research in materials science.

Professional Profile

Orcid

Scopus

Education 🎓

Shuai Li holds a Ph.D. in Materials Science and Engineering from Dalian University of Technology (2018) and a Master’s degree in Material Processing Engineering from Henan University of Science and Technology (2014). His academic journey has provided him with a strong foundation in materials engineering, welding technologies, and corrosion mechanisms.

Professional Experience 💼

Currently serving as an Associate Professor and Head of the Department of Intelligent Manufacturing Engineering at North China University of Water Resources and Electric Power, Shuai Li plays a key role in academic leadership, curriculum development, and mentoring students. He teaches fundamental courses, including Mechanical Engineering Materials, Additive Manufacturing Technology, and Engineering Chemistry, shaping the next generation of engineers.

Research Interests 🌍

As an expert in materials science, Shuai Li specializes in bonding mechanisms of dissimilar materials, design of filler metals, and corrosion mechanisms of metal alloys. His research explores the microstructural evolution of welded joints, aiming to enhance the performance and durability of materials used in engineering applications. His recent work includes investigations into aluminum alloy corrosion, high-temperature nickel-based filler metals, and the fracture behavior of welded joints.

Awards & Honors 🏆

Shuai Li has received prestigious research grants, including funding from the National Natural Science Foundation of China (NSFC) and the Henan Youth Science Fund Project. These awards recognize his innovative contributions to metallurgy and material processing technologies. His research impact is further highlighted through invitations to present at leading conferences and collaborations with top institutions.

Top Noted Publications 📚

1. Effect of V addition on the microstructure and wear resistance of CoCrFeNiNb high-entropy alloy laser cladding layers
Authors: C. Song, W. Zhao, J. Bi, Y. Lv, W. Rao
Journal: Intermetallics
Year: 2025
Citations: 0

2. Experimental and numerical study of stainless steel built-up tubular sections subjected to End-Two-Flange loading
Authors: Y. Jing, K. Jiang, S. Li, Y. Liang, O. Zhao
Journal: Thin-Walled Structures
Year: 2025
Citations: 0

3. Evolution of corrosion mechanism of 3d transition metal high entropy alloys: A review (Open Access)
Authors: S. Li, X. Liu, X. Hou, Y. Dong, H. Jiang
Journal: Journal of Materials Research and Technology
Year: 2025
Citations: 0

4. Net section fracture of aluminium alloy angle-to-plate connections: Testing, modelling and design
Authors: K. Jiang, S. Li, T. Guo, Y. Liang, O. Zhao
Journal: Engineering Structures
Year: 2025
Citations: 0

5. Evolution of tribological properties of laser cladding 3D transition metal high entropy alloy coatings (Review)
Authors: S. Li, Y. Sun, Z. Liu, T. Wu, Y. Bai
Journal: Journal of Materials Science
Year: 2025
Citations: 0

Conclusion

Dr. Shuai Li is a strong candidate for the Best Researcher Award, given his significant research output, leadership, and funding record. To further strengthen his candidacy, he should focus on international collaborations, industry partnerships, and global research visibility. If the award prioritizes metallurgical research, corrosion science, or welding technology, he would be a highly competitive nominee.

Mr Getachew Ambaye | Soft Robotics | Best Researcher Award

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Mr Getachew Ambaye | Soft Robotics | Best Researcher Award 

PhD Candidate at  Wichita State University,  United States.

Dr. Getachew Ambaye is a passionate researcher, educator, and engineer specializing in mechanical design, robotics, machine learning, and industrial automation. With a strong academic foundation and extensive teaching experience, he has made significant contributions to soft robotics, finite element analysis, and predictive maintenance. His research integrates advanced computational modeling, AI-driven diagnostics, and smart manufacturing solutions, contributing to the future of automated and intelligent systems.

Professional Profile

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Scopus

Google Scholar

Education 🎓

Dr. Ambaye holds a Ph.D. in Industrial & Manufacturing Engineering from Wichita State University (WSU), USA, where he is ready to defend his dissertation. He previously earned an M.Sc. in Mechanical Design Engineering from Jimma Institute of Technology, Ethiopia, and a B.Sc. in Mechanical Engineering from the same institution. Additionally, he completed a Higher Diploma Program in Education at Bahir Dar Institute of Technology (BiT), Ethiopia. His academic journey has been focused on engineering design, manufacturing processes, and automation.

Professional Experience 💼

  • With over eight years of teaching and research experience, Dr. Ambaye has held academic positions at Wichita State University, Hesston College (USA), Bahir Dar Institute of Technology, and Jimma Institute of Technology (Ethiopia). As an Instructor and Professor, he has taught courses in engineering graphics, kinematics, machine design, mechatronics, and robotics. Additionally, he has provided industrial training and research supervision, bridging the gap between academia and industry.

Research Interests 🌍

Dr. Ambaye’s research centers on soft robotics, machine vision, AI-driven diagnostics, structural mechanics, and automation. His notable work includes robot arm damage detection using deep learning, finite element analysis for soft robot workspace estimation, and machine learning applications in smart manufacturing. His contributions have been recognized internationally, winning the Best Paper Award at EAI ICAST 2023 for his research on detecting misalignments of drilled holes using machine vision.

Awards & Honors 🏆

  • Published multiple peer-reviewed journal articles in high-impact journals, including Actuators, Neural Computing & Applications, Journal of Manufacturing and Materials Processing, and Materials Today: Proceedings.
  • Covers a diverse range of topics including soft robotics, machine learning, mechanical design, fatigue analysis, and automation.
  • Best Paper Award at EAI ICAST 2023 for research on machine vision in detecting drilled hole misalignments.
  • Multiple conference presentations, including ICT4DA, IWAMA, and ICE3MT2020, indicating a strong presence in the global research community.

Top Noted Publications 📚

Title: Soft Robot Design, Manufacturing, and Operation Challenges: A Review
Authors: G.A. Ambaye, E. Boldsaikhan, K.K. Krishnan
Journal: Journal of Manufacturing and Materials Processing
Indexing: Scopus, Web of Science
Year of Publication: 2024
Citations: 2

Conclusion

Getachew Ambaye is a highly competitive candidate for the Best Researcher Award, given his strong research output, academic contributions, interdisciplinary expertise, and leadership roles. Strengthening first-author publications, securing grants, and pursuing patents would further enhance his candidacy.

Mr Ernesto Diaz | Data Scientist | Best Researcher Award

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Mr Ernesto Diaz |  Data Scientist | Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging , United States.

Ernesto Diaz is an accomplished researcher and data scientist specializing in biomedical imaging and artificial intelligence applications in healthcare. With a strong background in medical imaging, deep learning, and data science, he has contributed significantly to Hyperpolarized Carbon-13 MRI research, cancer imaging, and radiation oncology. His work has been recognized through prestigious NIH awards, peer-reviewed publications, and multiple conference presentations. Passionate about advancing healthcare technology, Ernesto combines technical expertise with a commitment to mentorship and diversity in STEM.

Professional Profile

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Education 🎓

Ernesto earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, graduating with Dean’s List honors (2020-2022). His education provided a strong foundation in programming, data analysis, and computational research, which he has applied extensively in biomedical imaging and artificial intelligence projects.

Professional Experience 💼

  • As a Data Scientist at UCSF’s Department of Radiology and Biomedical Imaging, Ernesto leads software development for medical imaging analysis, enhancing data processing and visualization tools. His previous research experience includes working on automated radiation treatment planning and bioinformatics coding for population health studies. His contributions have improved efficiency in clinical workflows and advanced AI applications in medical imaging.

Research Interests 🌍

His research revolves around Hyperpolarized Carbon-13 MRI, deep learning for medical image segmentation, and automation in radiation oncology. At UCSF, he developed a DICOM standardization tool for metabolic imaging and co-developed a U-Net deep learning model for prostate cancer segmentation. Additionally, he has explored health disparities in underserved communities, analyzing COVID-19’s impact on marginalized populations.

Awards & Honors 🏆

  • NIH Diversity Supplement Award (2022-2024) – Recognized for contributions to Hyperpolarized 13C MRI research.
  • NIH-SF BUILD Scholar (2021-2022) – Selected for leadership potential and commitment to diversity in research.
  • Dean’s List (2020-2022) – Awarded for academic excellence at San Francisco State University.

Top Noted Publications 📚

Title: Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, et al.

Journal: Tomography

Publication Year: 2025

DOI: 10.3390/tomography11030021

Indexing: Indexed in major scientific databases.

Conclusion

Ernesto Diaz is a rising leader in medical imaging research, blending AI, data science, and biomedical imaging to drive innovation. With his technical skills, research excellence, and dedication to mentorship, he continues to push the boundaries of healthcare technology and scientific discovery. 🚀

Prof Joelson Lopes Paixão | Electrical | Best Researcher Award-2789

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Prof Joelson Lopes Paixão | Electrical | Best Researcher Award 

PhD student at  UFSM, Brazil.

Dr. Joelson Lopes da Paixão has demonstrated notable contributions to the field of electrical engineering, particularly in areas such as smart grids, distributed generation, renewable energy sources, and electric vehicles. His academic journey includes a Bachelor’s degree in Electrical Engineering from UNIJUÍ (2016), a specialization in Higher Education and Distance Learning Methodology from UniFAEL (2018), and a Master’s degree in Electrical Engineering from the Federal University of Santa Maria (UFSM) in 2019. He has also served as a professor and collaborated with research centers, notably the Center of Excellence in Energy and Power Systems (CEESP) at UFSM since 2017.

Professional Profile

Scopus

Orcid

Google Scholar

Education 🎓

He holds a Bachelor’s degree in Electrical Engineering from UNIJUÍ (2016), specializing in Energy Systems and Electronics Automation. He further pursued a postgraduate specialization in Higher Education and Distance Learning Methodology at UniFAEL (2018) and completed a Master’s degree in Electrical Engineering at the Federal University of Santa Maria (UFSM) in 2019. His academic journey has provided him with a robust foundation in electrical systems, automation, and energy policies.

Professional Experience 💼

  • Professor of Electrical Engineering at Instituto Estadual de Educação Miguel Calmon (2017–2020), where he taught electrotechnics and electronics, nurturing the next generation of engineers.
  • Collaborating Researcher at the Center of Excellence in Energy and Power Systems (CEESP) at UFSM since 2017, contributing to projects on energy distribution, smart grids, and renewable integration.
  • Internship at Ceriluz (2016), gaining practical experience in energy distribution and grid operations.

Research Interests 🌍

His research interests primarily revolve around smart grids, renewable energy sources, electric vehicle (EV) infrastructure, distributed energy management, energy policies, and AI-driven solutions for the energy sector. His work also extends to demand-side management (DSM), microgrids, and energy tariffs, contributing to the advancement of sustainable and intelligent energy solutions.

Awards & Honors 🏆

While his research contributions are notable, further recognition in the form of international awards and leadership in major research projects could enhance his global impact. His collaborations with the Center of Excellence in Energy and Power Systems (CEESP) at UFSM have been instrumental in driving cutting-edge developments in energy distribution and automation.

Top Noted Publications 📚

EV Demand Forecasting Model Based on Travel Survey: A Brazilian Case Study – J.P. Sausen, A.R. Abaide, O.M. Adeyanju, J.L. Paixão | Cited by: 11 | Year: 2019

EV Fast Charging Microgrid on Highways: A Hierarchical Analysis for Choosing the Installation Site – J.L. da Paixão, A.R. Abaide, J.P. Sausen, L.N. Silva, L.N.F. da Silva | Cited by: 10 | Year: 2021

Proposal of a Load Curve Modeling Applied to Highway EV Fast Charging Stations – L. da Silva, A.A. Abaide, J.P. Sausen, J. Paixão, C.H. Correa | Cited by: 10 | Year: 2021

Proposal and Simulation of Electrical Impacts of Microgrid for EV Recharging on Highway – J. Lopes da Paixão, A. da Rosa Abaide, J. Passinato Sausen, et al. | Cited by: 9 | Year: 2022

Impact Evaluation of the Photovoltaic Generation Input on a Concessionaire’s Network – J.L. Paixão, A.R. Abaide, G.A. Pedro Filho | Cited by: 8 | Year: 2018

Conclusion

Joelson Lopes da Paixão is a promising researcher with a strong technical foundation in electrical engineering and energy systems. His dedication to smart grid innovations, renewable energy integration, and AI-driven energy solutions positions him as a valuable contributor to the field. By further expanding his international collaborations, increasing research citations, and securing leadership roles in major projects, he can strengthen his global recognition and impact in sustainable energy research. 🚀💡

Dr Jinjian Hu | Geotechnical Engineering | Best Researcher Award |

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Dr. Jinjian Hu | Geotechnical Engineering | Best Researcher Award | 

Student, at Hohai University, China.

Dr. Jinjian Hu is a dedicated researcher specializing in intelligent shield tunneling and software development. His expertise lies in integrating advanced computational techniques with tunneling engineering to enhance efficiency and automation in underground construction. With a strong academic background and a growing research portfolio, he is committed to pushing the boundaries of engineering innovation.

Professional Profile

Scopus

Orcid

Education 🎓

Dr. Hu received his B.S. degree from Dalian Jiaotong University, China, in 2021, followed by a Master’s degree from Hohai University, China, in 2024. Currently, he is pursuing a Ph.D. at Hohai University, focusing on cutting-edge technologies in shield tunneling and intelligent engineering systems.

Professional Experience 💼

With a strong background in engineering and computational modeling, Dr. Hu has contributed to research projects that bridge the gap between civil engineering and digital technologies. His experience includes collaboration with leading researchers, participation in cutting-edge tunneling projects, and the development of intelligent software solutions for infrastructure engineering.

Research Interests 🌍

His research revolves around intelligent shield tunneling, where he applies artificial intelligence, automation, and data-driven methodologies to improve tunneling processes. Additionally, his expertise in software development allows him to design and implement computational tools that optimize tunneling operations, making construction safer, faster, and more cost-effective.

Awards & Honors 🏆

Dr. Hu has been recognized for his contributions to the field through various academic and research accolades. His innovative approach to intelligent tunneling has earned him recognition in conferences, competitions, and institutional awards.

Top Noted Publications 📚

Title: Research on Real-time Prediction of Shield Cutterhead Torque Based on TCN-LSTM
Authors: T. Feng, J. Hu (Jinjian), Y. Li (Yan), Y. Liang (Yu), T. Feng (Tugeng)
Journal: Modern Tunnelling Technology
Year of Publication: 2024
Citations: 0

Conclusion

Jinjian Hu shows great potential but is still early in his academic journey. To be a strong candidate for the Best Researcher Award, he should focus on high-impact research output, innovation, collaborations, and recognition. If this award is for early-career researchers, he may be a competitive candidate, provided he has notable publications and contributions.

Karla Filian | Engineering | Best Researcher Award

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Mrs Karla Filian |  Engineering |  Best Researcher Award

Graduate student in the Master’s program in Earth Sciences,  at Faculty of Engineering in Earth Sciences, ESPOL Polytechnic University,  Ecuador

Karla Filian Haz is a graduate student pursuing a Master’s in Earth Sciences at ESPOL Polytechnic University. With a background in Mining Engineering, she works as a Project Analyst, contributing to research and academic initiatives in Earth Sciences. Her research focuses on environmental pollution mitigation, water treatment technologies, and sustainable engineering solutions. She has co-authored two indexed journal articles and two conference papers, collaborating with international institutions such as Ghent University and the Mexican Geological Survey. Her work aims to develop innovative solutions for environmental management in mining and water treatment.

Profile:

Academic & Professional Background:

Mining Engineer pursuing a Master’s in Earth Sciences at ESPOL. Currently a Project Analyst, contributing to research, academic initiatives, and program coordination in Earth Sciences. Expertise in event organization, documentation management, and compliance.

Research & Innovations:

  • Research Projects: 4
  • Publications: 2 indexed journal articles, 2 conference papers
  • Citations: h-index: 1, Citations: 2
  • Collaborations: Ghent University (Belgium), Catholic University of Santiago de Guayaquil, Universidad del Pacífico (Ecuador), Mexican Geological Survey (SGM)

Research Areas:

Environmental engineering, pollution mitigation in mining, water treatment technologies, sustainable engineering solutions.

Key Contributions:

Research on environmental pollution, tailing dam risks, and desalination optimization using advanced membranes. Findings contribute to sustainable solutions for water treatment and environmental management in the mining industry.

Publication Top  Notes:

Title: Assessment of Environmental Pollution and Risks Associated with Tailing Dams in a Historical Gold Mining Area of Ecuador
Authors: B. Salgado-Almeida, A. Briones-Escalante, D. Falquez-Torres, E. Peña-Carpio, S. Jiménez-Oyola
Journal: Resources (2024)
Citations: 1

 

Artee Gandhi | Health Professions | Best Researcher Award

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Dr  Artee Gandhi |  Health Professions |  Best Researcher Award

Physician at  University of Texas at Houston Medical School Doctor of Medicine ,  United States

Dr. Artee Gandhi is a distinguished pediatric anesthesiologist and pain management specialist with over two decades of experience in clinical care, research, and medical education. She currently serves as the Medical Director of Pediatric Pain Management at Cook Children’s Healthcare System in Fort Worth, Texas, and holds academic appointments as an Assistant Professor of Clinical Sciences at Texas Christian University School of Medicine and an Adjunct Clinical Assistant Professor at the University of North Texas Health Science Center.

Profile:

Education:

  • Doctor of Medicine (MD) – University of Texas at Houston Medical School (1995-1999)
  • B.A. in Psychology – University of Dallas (1991-1995)

Medical Training:

  • Pediatric Pain Management Fellowship – Stanford University, Lucile Packard Children’s Hospital
  • Pediatric Anesthesia Fellowship – Stanford University, Lucile Packard Children’s Hospital
  • Anesthesiology Residency – University of Missouri at Kansas City, St. Luke’s Hospital
  • Pediatrics Residency – University of Missouri at Kansas City, Children’s Mercy Hospital
  • Medical Acupuncture for Physicians – UCLA

Professional Experience:

  • Medical Director, Pediatric Pain Management & Pediatric Anesthesiologist – Cook Children’s Healthcare System (2009-Present)
  • Assistant Professor, Clinical Sciences – Texas Christian University School of Medicine (2022-Present)
  • Adjunct Clinical Assistant Professor, Pediatrics – University of North Texas Health Science Center (2017-Present)
  • Former Clinical Faculty – Stanford University, Lucile Packard Children’s Hospital

Certifications & Licensure:

  • Board Certified in Anesthesiology & Pediatrics
  • Licensed in Missouri, Texas, and California
  • PALS, BLS, and ACLS Provider

Honors & Awards:

  • Endowed Chair – Center for Pain Management and Integrative Therapies (2018-2022)
  • Cook Children’s Physician Network Service Award (2021)
  • Top Doctor – Fort Worth Magazine & 360 Magazine (Multiple Years)
  • Integrative Oncology Scholars Program – University of Michigan, funded by the National Cancer Institute
  • Research Mentor – University of North Texas Health Science Cente

Research & Leadership Roles:

  • Chairperson, Cook Children’s Hospital Wide Pain Committee & Opioid Stewardship Committee
  • Member, Fort Worth Safe Communities Drug Abuse & Overdose Prevention Task Force
  • Board Member, PRECISION Pain Registry & Trinity Valley School Campus Life Committee
  • Moderator, Chronic & Acute Pain Management Conferences

Professional Memberships:

  • American Society of Anesthesiology
  • American Academy of Pediatrics
  • Society of Pediatric Anesthesia & Pediatric Pain Medicine
  • International Association for the Study of Pain

Publication Top Notes:

Baastrup’s Disease in Pediatric Gymnasts
A.A. Ali, B.M. Jacobs, A. Gandhi, M.R. Brooks
Children, 2022 | Open Access | 2 Citations

Ernesto Diaz | Computer Science | Best Researcher Award

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Mr  Ernesto  Diaz |  Computer Science |  Best Researcher Award

Assistant Specialist at University of California, San Francisco – Radiology & Biomedical Imaging, United States

Ernesto Diaz is a highly skilled Data Scientist at the University of California, San Francisco (UCSF), specializing in Hyperpolarized Carbon-13 Metabolic Imaging within the Department of Radiology and Biomedical Imaging. He earned his Bachelor of Science in Computer Science from San Francisco State University in 2022, consistently achieving Dean’s List honors.

Profile:

🎓 Education:

San Francisco State University, San Francisco, CA

  • Bachelor of Science in Computer Science, 2022
  • Dean’s List: 2020-2022

💻 Technical Skills:

Languages & Environments: Python, R-Code, C++, MATLAB, HTML, CSS, Shell Scripting, CUDA, UNIX
Packages: Pandas, Matplotlib, NumPy, PyDicom, TensorFlow, PyTorch, Tkinter, Conda, CMake

🔬 Research Experience:

Data Scientist
University of California San Francisco, Department of Radiology and Biomedical Imaging
June 2022 – Present

  • Developed data processing methods for Hyperpolarized Carbon-13 Metabolic Imaging.
  • Lead developer of a Python application for HP 13C DICOM Images metadata integration.
  • Co-developed a deep learning image segmentation tool achieving 80% accuracy in prostate cancer segmentation.
  • Contributed to UCSF’s open-source MR Spectroscopy tool (SIVIC).

Undergraduate Researcher
UCSF, Department of Radiation Oncology
August 2021 – June 2022

  • Automated 3D spine metastases radiation planning.
  • Designed a Python/Tkinter GUI for treatment planning, boosting efficiency by 50%.

NIH Funded SF BUILD Scholar
San Francisco State University
June 2021 – June 2022

  • Selected for leadership potential and dedication to underserved communities.
  • Focused on diversity in NIH-funded research.

🏆 Awards & Scholarships:

  • NIH Diversity Supplement Award: 2022-2024
  • NIH-SF BUILD Scholar: 2021-2022
  • Dean’s List: San Francisco State University, 2020-2022

📅 Committees & Leadership:

  • UCSF PROPEL Scholar: Promoting equity in scientific research (2022-2024)
  • Metro Near-Peer Mentoring Program: Mentored first-year college students (2020-2022)
  • Google Developer Student Club: Engaged in peer-to-peer learning and community solutions (2019)

🎯 Certifications:

  • CITI Training Certificate: Social/Behavioral Research, 2022
  • Near-Peer Mentor Training: Metro Student First, 2020

Publication Top Notes:

  • The genomic landscape of hypodiploid acute lymphoblastic leukemia
    L. Holmfeldt, L. Wei, E. Diaz-Flores, M. Walsh, J. Zhang, L. Ding, …
    Nature Genetics, 45(3), 242-252, 2013. (Citations: 841)

  • Single-cell profiling identifies aberrant STAT5 activation in myeloid malignancies with specific clinical and biologic correlates
    N. Kotecha, N.J. Flores, J.M. Irish, E.F. Simonds, D.S. Sakai, S. Archambeault, …
    Cancer Cell, 14(4), 335-343, 2008. (Citations: 290)

  • Ex vivo drug response profiling detects recurrent sensitivity patterns in drug-resistant acute lymphoblastic leukemia
    V. Frismantas, M.P. Dobay, A. Rinaldi, J. Tchinda, S.H. Dunn, J. Kunz, …
    Blood, The Journal of the American Society of Hematology, 129(11), e26-e37, 2017. (Citations: 240)

  • p53 loss promotes acute myeloid leukemia by enabling aberrant self-renewal
    Z. Zhao, J. Zuber, E. Diaz-Flores, L. Lintault, S.C. Kogan, K. Shannon, …
    Genes & Development, 24(13), 1389-1402, 2010. (Citations: 211)

  • Response and resistance to MEK inhibition in leukaemias initiated by hyperactive Ras
    J.O. Lauchle, D. Kim, D.T. Le, K. Akagi, M. Crone, K. Krisman, K. Warner, …
    Nature, 461(7262), 411-414, 2009. (Citations: 156)

  • K-RasG12D expression induces hyperproliferation and aberrant signaling in primary hematopoietic stem/progenitor cells
    M.E.M. Van Meter, E. Díaz-Flores, J.A. Archard, E. Passegué, J.M. Irish, …
    Blood, 109(9), 3945-3952, 2007. (Citations: 138)

  • Phase II study of the oral MEK inhibitor selumetinib in advanced acute myelogenous leukemia: a University of Chicago phase II consortium trial
    N. Jain, E. Curran, N.M. Iyengar, E. Diaz-Flores, R. Kunnavakkam, …
    Clinical Cancer Research, 20(2), 490-498, 2014. (Citations: 133)

  • Bcl-2 is a therapeutic target for hypodiploid B-lineage acute lymphoblastic leukemia
    E. Diaz-Flores, E.Q. Comeaux, K.L. Kim, E. Melnik, K. Beckman, K.L. Davis, …
    Cancer Research, 79(9), 2339-2351, 2019. (Citations: 80)

  • Diacylglycerol kinase inhibition prevents IL-2-induced G1 to S transition through a phosphatidylinositol-3 kinase-independent mechanism
    I. Flores, D.R. Jones, A. Ciprés, E. Díaz-Flores, M.A. Sanjuan, I. Mérida
    The Journal of Immunology, 163(2), 708-714, 1999. (Citations: 71)

  • Regulation of diacylglycerol kinase α by phosphoinositide 3-kinase lipid products
    A. Ciprés, S. Carrasco, E. Merino, E. Díaz, U.M. Krishna, J.R. Falck, …
    Journal of Biological Chemistry, 278(37), 35629-35635, 2003. (Citations: 69)

  • Targeting oncogenic ras
    E. Diaz-Flores, K. Shannon
    Genes & Development, 21(16), 1989-1992, 2007. (Citations: 65)

  • Cooperative loss of RAS feedback regulation drives myeloid leukemogenesis
    Z. Zhao, C.C. Chen, C.D. Rillahan, R. Shen, T. Kitzing, M.E. McNerney, …
    Nature Genetics, 47(5), 539-543, 2015. (Citations: 48)

  • Abnormal hematopoiesis in Gab2 mutant mice
    Y. Zhang, E. Diaz-Flores, G. Li, Z. Wang, Z. Kang, E. Haviernikova, S. Rowe, …
    Blood, 110(1), 116-124, 2007. (Citations: 48)

  • β2-chimaerin provides a diacylglycerol-dependent mechanism for regulation of adhesion and chemotaxis of T cells
    M. Siliceo, D. García-Bernal, S. Carrasco, E. Díaz-Flores, F.C. Leskow, …
    Journal of Cell Science, 119(1), 141-152, 2006. (Citations: 48)

  • Membrane translocation of protein kinase Cθ during T lymphocyte activation requires phospholipase C-γ-generated diacylglycerol
    E. Díaz-Flores, M. Siliceo, C. Martínez-A, I. Mérida
    Journal of Biological Chemistry, 278(31), 29208-29215, 2003. (Citations: 48)

  • Rapid screening of COVID‐19 patients using white blood cell scattergrams, a study on 381 patients
    J. Osman, J. Lambert, M. Templé, F. Devaux, R. Favre, C. Flaujac, D. Bridoux, …
    British Journal of Haematology, 190(5), 718-722, 2020. (Citations: 34)

  • NRAS G12V oncogene facilitates self-renewal in a murine model of acute myelogenous leukemia
    Z. Sachs, R.S. LaRue, H.T. Nguyen, K. Sachs, K.E. Noble, N.A. Mohd Hassan, …
    Blood, 124(22), 3274-3283, 2014. (Citations: 30)

  • PLC-γ and PI3K link cytokines to ERK activation in hematopoietic cells with normal and oncogenic Kras
    E. Diaz-Flores, H. Goldschmidt, P. Depeille, V. Ng, J. Akutagawa, K. Krisman, …
    Science Signaling, 6(304), ra105-ra105, 2013. (Citations: 21)

  • Evolution of artificial intelligence-powered technologies in biomedical research and healthcare
    E. Diaz-Flores, T. Meyer, A. Giorkallos
    Smart Biolabs of the Future, 23-60, 2022. (Citations: 18)

  • Stat5 is critical for the development and maintenance of myeloproliferative neoplasm initiated by Nf1 deficiency
    Z. Sachs, R.A. Been, K.J. DeCoursin, H.T. Nguyen, N.A.M. Hassan, …
    Haematologica, 101(10), 1190, 2016. (Citations: 18)

 

Danping Li | Mathematical Finance | Best Researcher Award

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Prof Danping  Li |  Mathematical Finance |  Best Researcher Award

Professor at East China Normal University, China

Professor Danping Li is a distinguished researcher in actuarial science and financial mathematics, currently serving as a Professor at East China Normal University. He earned his Ph.D. in Financial Mathematics from Tianjin University, following dual bachelor’s degrees in Applied Mathematics and Finance from Tianjin and Nankai Universities, respectively.

Profile:

Academic Appointments:

  • Professor — East China Normal University (2024–Present)
  • Associate Professor — East China Normal University (2018–2023)
  • Postdoctoral Researcher — University of Waterloo (2017–2018)

Education:

  • Ph.D. in Financial Mathematics — Tianjin University (2014–2017)
  • B.Ec. in Finance (Double Degree) — Nankai University (2010–2012)
  • B.Sc. in Applied Mathematics — Tianjin University (2008–2012)

Research Interests:

  • Actuarial Science
  • Mathematical Finance
  • Stochastic Control & Analysis
  • Game Theory
  • Risk Modeling for Reinsurance and Annuity

Research Grants:

  • National Natural Science Foundation of China (2023–2016)
  • National Natural Science Foundation of China (2019–2021)

Honors and Awards:

  • Outstanding Scientific Research Achievements Award (Ministry of Education, Second Prize)
  • Outstanding Doctoral Dissertation — Tianjin
  • National Scholarship for Ph.D. — China

Citation Metrics:

  • Total Citations: 914 (by 552 documents)
  • Total Publications: 52
  • h-index: 17

Publication Top Notes:

  • Optimal Investment Strategy for α-Robust Utility Maximization Problem

    • Z. Yang, D. Li, Y. Zeng, G. Liu
    • Mathematics of Operations Research, 2025

  • Equilibrium Reinsurance Strategy and Mean Residual Life Function

    • D. Li, L. Chen, L. Qian, W. Wang
    • Acta Mathematicae Applicatae Sinica, 2024

  • Optimal VIX-linked Structure for the Target Benefit Pension Plan (Open Access)

    • L. Chen, D. Li, Y. Wang, X. Zhu
    • ASTIN Bulletin, 2024

  • Robust Reinsurance Contract and Investment with Delay under Mean-Variance Framework

    • X. Han, D. Li, Y. Yuan
    • Communications in Statistics – Theory and Methods, 2024

  • Optimal Reinsurance Contract in a Stackelberg Game Framework: A View of Social Planner

    • X. Han, D. Landriault, D. Li
    • Scandinavian Actuarial Journal, 2024
    • Citations: 7

 

Lin Chen | Mechanical Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Dr Lin Chen |  Mechanical Engineering | Best Researcher Award

Member of Guangxi Mechanical Engineering Society, Director of Guangxi Computer Users Association, Young and Middle-aged Expert on Intellectual Property Rights in Chinese Universities and Research Institutions at  Guangxi university, China

Lin Chen is a dedicated researcher and educator in mechanical engineering, with expertise in signal processing, control theory, and engineering applications. His research focuses on electrified vehicles, data acquisition, and analysis. Over the past five years, he has secured 23 research grants, including two major projects funded by the National Natural Science Foundation of China (NSFC) on lithium-ion batteries for EVs. Lin has pioneered deep-learning-based control methods for multi-axial electromechanical systems, encompassing sensors, signal processing, optimization, robot control, and CNC systems. He has built and validated complex test rigs through experimental studies. His work has resulted in 41 patents and over 60 journal publications, contributing significantly to energy management and advanced control systems.

Profile:

Academic and Research Focus:

Lin Chen is actively engaged in research and education in mechanical engineering, signal processing, control theory, and engineering applications. His work spans electrified vehicles, data acquisition, and analysis, contributing to advancements in sustainable transportation and smart systems.

Research Grants and Funding:

Over the last five years, Lin Chen has secured 23 research grants as Principal Investigator (PI) and Co-Investigator (CI) in electromechanical systems and lithium-ion battery energy management. Notably, he has led two large-scale projects funded by the National Natural Science Foundation of China (NSFC) focused on lithium-ion batteries for electric vehicles (EVs).

Innovation and Technological Contributions:

Lin Chen has developed deep-learning-based control methods for multi-axial electromechanical systems, integrating sensors, digital signal processing, optimization, robot control, and CNC control. His research also includes building complex test rigs for experimental validation.

Publications and Intellectual Property:

To date, Lin Chen has produced over 60 journal papers and holds 41 patents, reflecting his significant contributions to the field of electromechanical systems and energy management technologies.

Publication Top Notes:

  • Integrative Multi-Omics Approaches for Identifying and Characterizing Biological Elements in Crop Traits: Current Progress and Future Prospects
    International Journal of Molecular Sciences, 2025-02-10
    DOI: 10.3390/ijms26041466

  • Integrative Multiomics Profiling of Passion Fruit Reveals the Genetic Basis for Fruit Color and Aroma
    Plant Physiology, 2024-03-29
    DOI: 10.1093/plphys/kiad640

  • Real-Time Detection of Viruses in Aerosols with Weak Light Imaging Based on Tesla Discharge
    Applied Physics Letters, 2022-08-08
    DOI: 10.1063/5.0104527

  • Biophoton Imaging Evaluation of the Process of Rheumatoid Arthritis in Rats
    Natural Science, 2021
    DOI: 10.4236/ns.2021.1310037

  • In Vivo Imaging of Biophoton Emission in the Whole Brain of Mice
    Natural Science, 2021
    DOI: 10.4236/ns.2021.139033

  • Spectral Blueshift of Biophotonic Activity and Transmission in the Ageing Mouse Brain
    Brain Research, 2020-12
    DOI: 10.1016/j.brainres.2020.147133