Yue Xin | inventory management | Women Researcher Award

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Dr. Yue Xin | inventory management | Women Researcher Award

Ocean university of chain | China

PUBLICATION PROFILE

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📝 Summary

Dr. Yue Xin is a dedicated researcher currently pursuing a Ph.D. in Probability Theory and Mathematical Statistics at China People’s University. His academic work focuses on time series analysis, data-driven decision-making, and inventory management strategies. With numerous published papers in top-tier SCI-indexed journals, he has gained recognition for his innovative contributions to mathematical modeling, particularly in financial markets and environmental science.

🎓 Education

Dr. Yue completed his Bachelor’s in Information and Computational Science from Shandong University, earning a GPA of 87.9/100. He is currently pursuing his Ph.D. at China People’s University with an impressive GPA of 3.84/4, specializing in Probability Theory and Mathematical Statistics. Additionally, he spent a year as a joint Ph.D. student at Nanyang Technological University in Singapore, enhancing his global academic exposure.

💼 Professional Experience

Dr. Yue has participated in several high-profile research projects, contributing to areas such as missile defense strategies, game theory, and underwater confrontation analysis. He played a key role in modeling and solving critical problems using differential game theory. His collaboration with top researchers and institutions has honed his expertise in both theoretical and applied mathematics.

📚 Academic Citations & Publications

Dr. Yue has published several influential papers in prominent journals like the Journal of Computational and Applied Mathematics and Applied Mathematics and Computation. His work includes advanced topics like maximum likelihood estimation, uncertain autoregressive models, and the valuation of options in uncertain fractional-order environments. His papers are highly cited in the academic community, reflecting the impact of his research.

🔧 Technical Skills

Dr. Yue is proficient in multiple programming languages and software tools, including Python, Matlab, R, and C++. He is skilled in using LaTeX for scientific writing and is also well-versed in Microsoft Office. His expertise extends to statistical analysis, machine learning, and developing data-driven models for complex decision-making in finance and risk management.

👨‍🏫 Teaching Experience

With a passion for teaching, Dr. Yue has served as a teaching assistant for various courses, such as Mathematical Modeling, Game Theory, Probability Theory, and Higher Algebra. He has also assisted in courses on Big Data Analysis and Supply Chain Management, where he shares his extensive knowledge and fosters a dynamic learning environment.

🔬 Research Interests

Dr. Yue’s research interests lie in the fields of time series analysis, differential equations, and data-driven decision-making. He focuses on the development of innovative models for inventory management and risk assessment, and his work is particularly relevant to financial market analysis and environmental forecasting. He is dedicated to applying mathematical techniques to real-world problems.

📚 Top Notes Publications 

Maximum likelihood estimation for uncertain autoregressive moving average model with application in financial market

    • Authors: Y Xin, J Gao, X Yang, J Yang

    • Journal: Journal of Computational and Applied Mathematics

    • Year: 2023

Orthogonal series method for uncertain nonparametric regression with application to carbon dioxide emissions

    • Authors: Y Xin, J Gao

    • Journal: Communications in Statistics-Simulation and Computation

    • Year: 2024

Power-barrier option pricing formulas in uncertain financial market with floating interest rate

    • Authors: H Zhao, Y Xin, J Gao, Y Gao

    • Journal: AIMS Math

    • Year: 2023

Time series prediction method for multi-source observation data

    • Authors: X Gao, Y Xin, J Yang

    • Journal: International Journal of General Systems

    • Year: 2024

Regional express delivery network planning: A location-routing model and two-tier adaptive GA

    • Authors: W Li, Y Xin, G Yang

    • Journal: Information Sciences

    • Year: 2025

Estimation of parameters and valuation of options written on multiple assets described by uncertain fractional differential equations

    • Authors: Y Xin, Y Zhang, I Noorani, F Mehrdoust, J Gao

    • Journal: Applied Mathematics and Computation

    • Year: 2025

Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

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Dr. Isabel Lastres-Becker | Emerging Research Trends | Best Researcher Award

Universidad Autónoma de Madrid | Spain

PUBLICATION PROFILE

Scopus

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INTRODUCTION 👩‍🔬

Dr. Isabel Lastres-Becker is an Associate Professor at the Universidad Autónoma de Madrid, specializing in biochemistry and neurodegenerative diseases. With over 20 years of research experience, her scientific work primarily focuses on the molecular mechanisms of neurodegeneration, including oxidative stress, neuroinflammation, and proteinopathies. Her contributions span several neurodegenerative disorders, including Parkinson’s disease, Alzheimer’s, ALS, and Huntington’s disease.

EARLY ACADEMIC PURSUITS 🎓

Dr. Lastres-Becker completed her Licenciatura en Ciencias Químicas (Bachelor’s degree in Chemistry) with a specialization in Biochemistry from Universidad Complutense de Madrid in 1997. She later earned her PhD in Biochemistry in 2003 from the same institution, with a focus on neurodegenerative diseases. Her doctoral research was awarded the prestigious European mention.

PROFESSIONAL ENDEAVORS 👩‍🏫

Throughout her career, Dr. Lastres-Becker has held various academic and research positions. She is currently an Associate Professor at the Universidad Autónoma de Madrid since October 2021, after having previously served as a Ramón y Cajal researcher and Postdoctoral Researcher in Spain and Germany. Her experience in both the academic and research environments has greatly contributed to her expertise in neurodegenerative diseases.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Dr. Lastres-Becker’s research contributions have had a significant impact on the understanding of neurodegenerative diseases. Her work has focused on various aspects:

  • Cannabinoid System in Huntington’s Disease: Dr. Lastres-Becker explored how the dysregulation of the endogenous cannabinoid system affects Huntington’s disease. Her work laid the groundwork for clinical trials examining the neuroprotective effects of cannabinoids.
  • Parkinson’s Disease: She demonstrated how cannabinoid receptors, particularly CB1, are involved in neuroinflammation in Parkinson’s disease, and her research suggested potential therapeutic targets for modulating microglial activity.
  • Ataxin-2 in Spinocerebellar Ataxia: She was the first to identify the role of ataxin-2 in metabolism and protein synthesis, as well as its involvement in SCA2 neurodegeneration.
  • NRF2 Transcription Factor: Dr. Lastres-Becker’s research on NRF2 has revealed its central role in neurodegenerative diseases. She showed how NRF2’s involvement in inflammatory processes could be a therapeutic target, particularly in the context of Parkinson’s disease and tauopathies.
  • Neuron-Glia Communication: In Alzheimer’s disease, Dr. Lastres-Becker identified how neurons with overexpressed TAU protein release fractalkine (CX3CL1), triggering neuroinflammation and tau-related neurodegeneration.

IMPACT AND INFLUENCE 🌍

Dr. Lastres-Becker’s research is not only impactful within the academic sphere but also in the broader scientific and clinical communities. She serves as an external collaborator with several research groups and is a reviewer for high-impact scientific journals. Additionally, her collaborations with international research agencies and companies have advanced the therapeutic exploration of neurodegenerative diseases.

ACADEMIC CITATIONS AND PUBLICATIONS 📚

Dr. Lastres-Becker has authored more than 65 publications, contributing significantly to neurodegenerative disease research. Some of her high-impact publications include studies on the cannabinoid system, NRF2 modulation, and tauopathies, with her work frequently cited in the fields of neurobiology and pharmacology. These studies have not only contributed to scientific knowledge but have also provided the foundation for potential clinical therapies.

HONORS & AWARDS 🏆

Throughout her career, Dr. Lastres-Becker has received numerous awards and grants, including funding from the Spanish Ministry of Science and Innovation. Her work has been recognized through various prestigious research projects aimed at studying and developing therapeutics for Parkinson’s disease, ALS, and Alzheimer’s disease.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking ahead, Dr. Lastres-Becker continues to contribute to the advancement of therapeutic strategies for neurodegenerative diseases. She is currently involved in various cutting-edge research projects focused on the roles of NRF2, cannabinoids, and proteostasis. Her future work aims to bridge the gap between preclinical discoveries and clinical applications, ultimately improving treatment outcomes for patients with these devastating conditions.

TOP NOTES PUBLICATIONS 📚

Model organisms for investigating the functional involvement of NRF2 in non-communicable diseases
    • Authors: A.I. Rojo, B. Buttari, S. Cadenas, I.P. Trougakos, A.T. Dinkova-Kostova
    • Journal: Redox Biology
    • Year: 2025
Investigation in the cannabigerol derivative VCE-003.2 as a disease-modifying agent in a mouse model of experimental synucleinopathy
    • Authors: S. Burgaz, E. Navarro, S. Rodríguez-Carreiro, E.E. Muñóz, J.J. Fernández-Ruiz
    • Journal: Behavioral and Brain Functions
    • Year: 2024
Beneficial Effect of Dimethyl Fumarate Drug Repositioning in a Mouse Model of TDP-43-Dependent Frontotemporal Dementia
    • Authors: I. Silva-Llanes, R. Martín-Baquero, A. Berrojo-Armisen, E. De Lago, I. Lastres-Becker
    • Journal: Antioxidants
    • Year: 2024
Biomarkers of NRF2 signalling: Current status and future challenges
    • Authors: C. Morgenstern, I. Lastres-Becker, B.C. Demirdogen, A. Cuadrado, I.M. Copple
    • Journal: Redox Biology
    • Year: 2024
RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection
    • Authors: I. Silva-Llanes, E. Madruga, A.R. Martínez, I. Lastres-Becker
    • Journal: Frontiers in Neuroscience
    • Year: 2024

Hebah Shalhoob | Emerging Research Trends | Best Researcher Award

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Dr. Hebah Shalhoob | Emerging Research Trends | Best Researcher Award

The Applied College, King Abdulaziz University | Saudi Arabia

Publication Profile

Scopus
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📚 INTRODUCTION

Dr. Hebah Shalhoob is an esteemed academic and professional in the fields of Accounting, Islamic Finance, and Entrepreneurship. With extensive academic qualifications and professional experience, she specializes in subjects like internal audit, strategic planning, academic accreditation, e-learning, and community service. Her dedication to continued learning and passion for connecting students to the real world has earned her recognition for teaching excellence.

🎓 EARLY ACADEMIC PURSUITS

Dr. Shalhoob’s academic journey began at King Abdulaziz University (Saudi Arabia) where she earned a Bachelor’s degree in Accounting in 2006. Her pursuit of further knowledge took her abroad to the University of Dundee (UK), where she earned her Master’s degree in Accounting & Finance in 2011. Dr. Shalhoob then went on to complete a Ph.D. in Accounting and Finance at Robert Gordon University (UK) in 2016. Alongside her education, she gained several certifications, including leadership and insurance underwriting.

💼 PROFESSIONAL ENDEAVORS

Dr. Shalhoob has significantly contributed to academia and the professional world, currently serving as an Assistant Professor of Accounting and Finance at King Abdulaziz University (2020 – Present). She also works as a Part-time Consultant at Dar Al-Hekma University and as an Academic Accreditation Auditor. Previously, she held leadership positions at Princess Nourah bint Abdulrahman University, including Head of the Accounting Department (2018 – 2020) and Director of the E-Learning Unit.

🔍 CONTRIBUTIONS AND RESEARCH FOCUS On Emerging Research Trends

Dr. Shalhoob’s research focuses on Islamic finance, sustainability, and internal audit, addressing topics such as Green Sukuk in Saudi Arabia, the impact of big data analytics on accounting, and Environmental, Social, and Governance (ESG) disclosures. Her work contributes to bridging theoretical knowledge with practical application, aligning with Saudi Vision 2030 and global financial systems.

🌍 IMPACT AND INFLUENCE

Beyond academia, Dr. Shalhoob plays an influential role in several academic committees and quality assurance initiatives at King Abdulaziz University. She is also an advocate for community service, contributing to various initiatives and mentoring students in fields such as leadership, internal auditing, and technology integration. Her international conference appearances, including the Islamic Finance International Conference in Malaysia and the Saudi Accountants Forum, further expand her influence.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Shalhoob has authored influential publications on diverse subjects like Green Sukuk, ESG, and VAT application. Some of her most recognized papers include:

  • “Green Sukuk in Saudi Arabia: Challenges and Potentials” (2023)
  • “Environmental, Social and Governance (ESG) Disclosure and SMEs’ Sustainability” (2023)
  • “The Impact of COVID-19 on Accountants: Evidence from Saudi Arabia” (2022)

Her research has been published in journals such as Sustainability, Revista De Gestão Social E Ambiental, and Journal of Governance & Regulation.

🏆 HONORS & AWARDS

Dr. Shalhoob’s academic achievements have been widely recognized, including receiving the Excellence Award in E-Learning in 2018 and 2021 for her innovative teaching methods. She was also awarded the Fellowship of the Higher Education Academy in 2023 for her dedication to educational excellence.

🔮 LEGACY AND FUTURE CONTRIBUTIONS HIGHLIGHT

Looking ahead, Dr. Shalhoob aims to further advance research in Islamic finance, internal audit, and sustainability. She is committed to shaping the future of strategic planning, academic curricula, and financial technologies, ensuring a lasting impact on both the academic community and the global finance sector. Through her leadership and innovative work, Dr. Shalhoob will continue to influence the development of accounting and finance in alignment with Saudi Vision 2030 and international standards.

🎯 FINAL NOTE

Dr. Hebah Shalhoob’s career is a blend of academic distinction, professional commitment, and a drive for social impact. As an educator, researcher, and community leader, her legacy is grounded in helping students grow and preparing them for future challenges in accounting, finance, and beyond. Her ongoing efforts to bridge academia with industry and contribute to sustainable practices will continue to shape the future of the finance and accounting fields.

TOP NOTES PUBLICATIONS 📚

ESG Disclosure and Financial Performance: Survey Evidence from Accounting and Islamic Finance Sustainability

Authors: Hebah Shalhoob

Journal: Sustainability

Year: 2025

DOI: 10.3390/su17041582

The Role of AI in Enhancing Shariah Compliance: Efficiency and Transparency in Islamic Finance

Authors: Hebah Shalhoob

Journal: Journal of Infrastructure, Policy, and Development

Year: 2025

DOI: 10.24294/jipd11239

Impact of Environmental, Social and Governance Practices Disclosure in Promoting Sustainability and Financial Performance: Evidence from Saudi Stock Exchange-Listed Companies

Authors: Hebah Shalhoob

Journal: SSRN

Year: 2024

DOI: 10.2139/ssrn.4996549

The Impact of Big Data Analytics on the Detection of Errors and Fraud in Accounting Processes

Authors: Shalhoob, H.; Halawani, B.; Alharbi, M.; Babiker, I.

Journal: Revista de Gestao Social e Ambiental

Year: 2024

DOI: 10.24857/rgsa.v18n1-121

Impact of Auditor Characteristics on Audit Quality During COVID-19: Evidence from Saudi Arabia

Authors: Hebah Shalhoob

Journal: Problems and Perspectives in Management

Year: 2024

DOI: 10.21511/ppm.22(4).2024.11

Green Sukuk in Saudi Arabia: Challenges and Potentials of Sustainability in the Light of Saudi Vision 2030

Authors: Hebah Shalhoob

Journal: Journal of Governance and Regulation

Year: 2023

DOI: 10.22495/jgrv12i4siart15

 

Milla Vehviläinen | Data collection | Best Researcher Award

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Ms. Milla Vehviläinen | Data collection | Best Researcher Award

Ms. Milla Vehviläinen at VTT Technical Research Centre of Finland, Finland

👨‍🎓 Profile

📜 Summary

Milla Vehviläinen is a dedicated research scientist specializing in electromobility. She has extensive experience in computational modeling and simulation of electromechanical powertrains, contributing to both academic research and practical applications in electrical engineering.

🎓 Education

Milla is pursuing a D.Sc. (Tech) at Aalto University in Espoo, Finland, expected to complete in Q4/2025, focusing on computational modeling with a GPA of 4.6/5.0. She earned her M.Sc. (Tech) in Mechatronic System Design from LUT University, Lappeenranta, in 2020, with a GPA of 4.2/5.0. Her academic journey began with a B.Sc. (Tech) in Mechanical Engineering from LUT University, where she graduated in 2018 with a GPA of 3.1/5.0.

💼 Professional Experience

Currently, Milla works as a Research Scientist at VTT in Espoo (since 09/2020), focusing on computational modeling and simulation of electromechanical systems. Previously, she was a Research Trainee at VTT (07/2020 – 09/2020), where she developed a simulation toolbox for smart electric vehicle systems. Milla also has experience as an R&D Engineer Trainee at ABB Oy in Helsinki, working on product development for wind generators (05/2018 – 04/2020), and as a Sales Engineer Trainee in spare parts sales (05/2017 – 04/2018). She started her career as a trainee at Way Structural Technology Oy, contributing to 3D design projects for power plants (05/2016 – 06/2016).

📚 Academic Citations

Milla has authored several peer-reviewed publications, including: “Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics” in Mechanism and Machines Theory (2024) and “Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck” in Energies (2022).

⚙️ Technical Skills

Milla is skilled in MBS dynamics, 3D CAD, and condition monitoring. She is proficient in programming languages such as Python and VBA, and she has experience with software tools like Siemens NX, Teamcenter, SAP, and Tekla.

🔬 Research Interests

Milla’s research interests include electromechanical systems, electromobility, and fault detection and monitoring in electrical systems.

📖 Top Noted Publications 

Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
  • Journal: Mechanism and Machine Theory
  • Year: 2024
Simulation-Based Comparative Assessment of a Multi-Speed Transmission for an E-Retrofitted Heavy-Duty Truck
  • Authors: Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jenni Pippuri-Mäkeläinen, Marko Paakkinen, Jukka Pellinen, Kari Tammi, Anouar Belahcen
  • Journal: Energies
  • Year: 2022

Sangeeta Parshionikar – Deep Learning – Best Researcher Award

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Mrs Sangeeta Parshionikar - Deep Learning - Best Researcher Award 

Fr. Conceicao Rodrigues College of Engineering - India

Author Profile

Early Academic Pursuits

Mrs. Sangeeta Parshionikar began her academic journey by obtaining her Bachelor's degree in Electronics and Power Engineering from Shri. Ramdeobaba Kamla Nehru Engineering College, Nagpur University, where she graduated with a commendable 72.8%. She further pursued her Master's in Electronics from Mumbai University, where she secured a distinction with 75.56%. Her interest in the field led her to specialize further with a diploma in Oracle 8.0 with Visual Basic 6.0 from SSI Nagpur and VLSI Design from CDAC Hyderabad.

Professional Endeavors

Mrs. Parshionikar's professional journey spans over 16 years in the field of education and 3 years in the industry, focusing on VLSI Design. Her industry experience includes roles at esteemed organizations like PowaiLabs Pvt. Ltd., Taray Technology Pvt. Ltd., and STRATeL Microsystems Pvt. Ltd. in Mumbai, Hyderabad, and Delhi, respectively. Currently, she serves as an Assistant Professor at Fr. Conceicao Rodrigues College of Engineering, Mumbai, teaching subjects like IoT, Basic VLSI Design, and ASIC Verification.

Contributions and Research Focus

Her contributions to academia are vast and varied. Mrs. Parshionikar has published several research papers, notably in areas such as deep learning applications for healthcare, VLSI design techniques, and IoT innovations. She has been recognized with multiple minor research grants from the University of Mumbai for her innovative projects, including Smart Air Pollution Monitoring and Stock Market Forecasting using Neural Networks. Additionally, she has filed several patents, including a groundbreaking concept for verbal agreement signing using blockchain and speech recognition.

Accolades and Recognition

Mrs. Parshionikar's dedication to her field has earned her numerous accolades, including appreciations from her college for successfully coordinating workshops and FDPs. She has delivered talks on various topics, from Verilog Programming to Branding for Startups, showcasing her versatility and expertise. Moreover, she has been an active member of several professional bodies, including ISTE, and has served as a reviewer for multiple international conferences.

Impact and Influence

With over 20 years of experience in the academic and industry sectors, Mrs. Parshionikar's influence extends beyond her immediate role. Her research and innovations have the potential to reshape industries, particularly in areas such as healthcare, finance, and environmental monitoring. Her leadership in coordinating various initiatives, including being a convocation coordinator and B.E. project coordinator, reflects her commitment to fostering excellence in education and research.

Legacy and Future Contributions

Mrs. Parshionikar's legacy lies in her relentless pursuit of knowledge dissemination, innovation, and mentorship. As she continues her Ph.D. journey and expands her research endeavors, she aims to contribute further to the scientific community. Her focus on emerging technologies like deep learning, IoT, and VLSI design positions her at the forefront of academic research. Moving forward, she aspires to develop more groundbreaking solutions, mentor future generations, and collaborate on global research initiatives.

In summary, Mrs. Sangeeta Parshionikar's multifaceted career, from her early academic pursuits to her current role as an esteemed educator and researcher, exemplifies dedication, expertise, and a passion for innovation. Her contributions to the field of Computer Engineering, VLSI Design, and Deep Learning make her a distinguished figure, poised to make significant advancements in the scientific community.

Notable Publication