Jiawei Zheng | Toxicology | Excellence in Research Award

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Mr. Jiawei Zheng | Toxicology | Excellence in Research Award 

Jinquan Satellite Launch Center Hospital | China

Jiawei Zheng is an attending doctor at the Jiuquan Satellite Launch Center Hospital whose work integrates clinical practice with specialized research in occupational toxicology, particularly focusing on hepatotoxicity mechanisms relevant to aerospace environments. Trained in medical sciences with a concentration in toxicology, he has built a career that blends laboratory investigation with applied aerospace-medicine service, serving as a principal investigator for internally supported projects aimed at understanding and mitigating toxin-induced organ injury. His research explores oxidative stress, apoptosis signaling, and metabolic intervention, with special emphasis on the pathways disrupted by exposure to aerospace-related chemicals. He has developed strong skills in experimental design, animal modeling, cellular and biochemical analysis, mechanistic interpretation, and scientific writing, demonstrated through his first-author contribution to a peer-reviewed article that reveals a novel mechanistic pathway underlying UDMH-induced liver injury. His professional experience also includes leading a hospital consultancy initiative focused on toxicological risk assessment. Although early in his publication journey, his work has already contributed meaningful insights to the field of hepatotoxicity research. With dedication to advancing occupational health protection for aerospace personnel, he continues to pursue research that supports scientific innovation, clinical safety, and the broader mission of improving health resilience in high-risk technological environments.

Profile: ORCID

Featured Publications

Zheng, J., Liu, W., Zhu, X., Ran, L., Lang, H., Yi, L., Mi, M., & Zhu, J. (2020). Pterostilbene enhances endurance capacity via promoting skeletal muscle adaptations to exercise training in rats. Molecules, 25(1), 186.

Huang, Y., Zhu, X., Chen, K., Lang, H., Zhang, Y., Hou, P., Ran, L., Zhou, M., Zheng, J., Yi, L., & Mi, M. (2019). Resveratrol prevents sarcopenic obesity by reversing mitochondrial dysfunction and oxidative stress via the PKA/LKB1/AMPK pathway. Aging (Albany NY), 11(8), 2217–2240.

 

Sboniso Mhlongo | Veterinary Public Health | Best Researcher Award

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Ms. Sboniso Mhlongo | Veterinary Public Health | Best Researcher Award

North West Department of Agriculture | South Africa

Ms. Sboniso Mhlongo is a highly accomplished South African public health professional and microbiologist with extensive expertise in veterinary public health, epidemiology, and quality management systems. She holds a Master of Public Health with distinction from the University of Johannesburg, alongside degrees in Quality, Environmental Management, and Microbiology from leading South African universities. Her career at the North West Department of Agriculture as Chief Veterinary Technologist has been defined by leadership in ISO 17025-compliant laboratory operations, surveillance programs for food, water, and environmental hygiene, and mentoring multidisciplinary teams. Ms. Mhlongo’s research interests center on zoonotic disease surveillance, laboratory quality systems, and occupational health risk assessment in veterinary settings. She is highly skilled in data management, statistical analysis using SPSS and Excel, laboratory diagnostics, and biosafety procedures, and has demonstrated excellence in policy translation through technical reporting and national health framework development. Her notable accomplishments include pioneering SANAS accreditation for a state-owned veterinary laboratory and coordinating national surveillance projects that informed animal health policies. Recognized for her academic excellence and professional impact, she is a member of the Golden Key International Honour Society and registered with professional scientific and veterinary councils. Her career reflects a deep commitment to strengthening public health systems and advancing laboratory standards in South Africa.

Profile: ORCID

Featured Publications

Amani Turki Alsufyani | Food safety | Best Researcher Award

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Ms. Amani Turki Alsufyani | Food safety | Best Researcher Award

Saudi Food and Drug Authority | Saudi Arabia

Amani Turki Alsufyani is a Saudi researcher and senior expert in antimicrobial resistance and food safety, with a strong focus on advancing One Health initiatives and public health protection. She holds a Master of Science in Microbiology and Immunology from the University of British Columbia, alongside a Bachelor’s degree in Biology and a minor in Education from Umm Al-Qura University. Her professional career has centered on antimicrobial resistance research at the Saudi Food and Drug Authority, where she contributes expertise in phenotypic and genotypic resistance testing, quality systems, and laboratory accreditation. She has extensive training in ISO standards, quality assurance, laboratory safety, and next-generation sequencing, with proficiency in Illumina and Oxford Nanopore platforms. Her research interests include antimicrobial resistance surveillance, foodborne pathogen detection, genomic epidemiology, and bioinformatics applications. She is skilled in microbial culture, DNA extraction, statistical analysis, and data interpretation using computational tools such as R, Python, and Linux. Recognized through national and institutional awards, including excellence distinctions and key contributions to ISO accreditation achievements, she has also been a scholarship recipient for academic excellence. With publications on Salmonella genomics, antimicrobial resistance, and biocide activity, she has presented internationally and mentored future researchers. In conclusion, Amani Alsufyani demonstrates leadership, technical expertise, and commitment to research innovation, education, and public health impact.

Profile: Google scholar

Featured Publications

Divya Mishra | Crisis Management | Young Scientist Award

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Dr. Divya Mishra | Crisis Management | Young Scientist Award

Delhi Technological University | India

Dr. Divya Mishra is an accomplished academician and researcher in the field of Human Resource Management and Organizational Behavior. Currently serving as Assistant Professor at Delhi Technological University, she holds a Ph.D. in HRM and OB from the same university. Her scholarly journey is distinguished by her UGC-NET JRF qualification in Commerce and Management and a consistent record of academic excellence, including gold medals from the University of Allahabad. She has published extensively in ABDC-ranked and Scopus-indexed journals, focusing on digital transformation, crowdsourcing, governance, and innovation. With professional experience in research and academia, she integrates theoretical insights with practical applications in her teaching. Dr. Mishra is also a certified HR analyst and an active contributor to workshops, conferences, and international journals. As a dynamic mentor, case study author, and book editor, she brings a holistic and impactful perspective to management research, particularly emphasizing value co-creation and technology-enabled governance systems.

Profile

Googlescholar

Education

Dr. Divya Mishra earned her Ph.D. in Human Resource Management and Organizational Behavior from Delhi Technological University, where she excelled with distinction. She holds postgraduate and undergraduate degrees in commerce, specializing in HR and Marketing, from the University of Allahabad, achieving top academic honors. Her early academic foundation was laid at Bethany Convent School, affiliated with CBSE, where she performed consistently well. She qualified for the UGC NET-JRF in Commerce and NET in Management, establishing her academic credentials further. Her academic trajectory reflects a consistent commitment to excellence, critical inquiry, and intellectual rigor. Her exposure to advanced quantitative research methods, structural equation modeling, and mixed-method approaches has enhanced her capacity to address contemporary challenges in management science. Additionally, her participation in numerous workshops and FDPs on research methodology, data analytics, AI, and publication ethics highlights her drive for continuous learning and academic engagement in evolving interdisciplinary domains.

Experience

Dr. Divya Mishra’s professional journey reflects a diverse blend of teaching, research, and industry experience. As an Assistant Professor at Delhi Technological University and previously at Vivekananda Institute of Professional Studies, she has taught management, business analytics, psychology, and development studies. Her academic roles include mentoring, research supervision, and curriculum design. She served as a Senior Research Fellow and Teaching Assistant at DTU during her Ph.D., contributing to research, teaching, and academic advising. Before transitioning into academia, she worked as a Research Associate at Boodle Web Mart, Noida, where she specialized in market research and data-driven strategic planning. Dr. Mishra also played pivotal roles in organizing NEP workshops, training programs, and interdisciplinary projects. Her experience spans both undergraduate and postgraduate teaching and encompasses administrative responsibilities, editorial work, and interdisciplinary collaboration. This multi-dimensional exposure has empowered her to integrate theory with practice and approach academia with real-world problem-solving insights.

Awards and Honors

Dr. Divya Mishra has received numerous academic distinctions throughout her career. She was awarded the prestigious HARI KESHAB GHOSH GOLD MEDAL, SRI BANARSILAL MEMORIAL GOLD MEDAL, and SRIBASANT BEHARI JAIRANI GOLD MEDAL for being the overall topper in both graduation and postgraduation from the University of Allahabad. She was honored with the Best Reviewer Award at the Academy of Management (AOM) Conference and serves as a peer reviewer for international journals like Springer Nature, IEEE, and others. She has completed multiple prestigious faculty development programs and earned certification in HR Analytics from the University of California, Irvine. Her role as organizer and coordinator in national-level NEP sensitization workshops highlights her leadership and academic outreach. Additionally, she has held key student leadership positions, including House Captain and Club Member, which nurtured her early organizational and leadership skills. These accolades demonstrate her excellence across academic, administrative, and scholarly domains

Research Focus

Dr. Divya Mishra’s research concentrates on Human Resource Management, Organizational Behavior, technological innovation, and digital governance, with a specific emphasis on crowdsourcing, open innovation, and digital transformation. Her interdisciplinary research explores the intersection of organizational learning, social capital, and strategic innovation. She employs quantitative and mixed-methods approaches, including Structural Equation Modeling and bibliometric analysis, to study knowledge transfer, governance models, influencer engagement, and entrepreneurial pathways. Her recent works address contemporary themes like crisis communication, participatory governance, influencer alignment, and metaverse adoption in banking. Her book on crowdsourcing and her editorial contribution to an upcoming Scopus-indexed volume showcase her depth in value co-creation and HR innovation. With several publications in SSCI/SCOPUS-indexed journals and over a dozen case studies published by SAGE, her research bridges academic theory and practical relevance. Dr. Mishra’s scholarship aligns with advancing organizational adaptability in the face of rapid digital change and stakeholder engagement in innovation ecosystems.

 

Publications

 

Effective governance through crowdsourcing: A strategic framework for empowered participation
Year: 2023
Citation: 8

Crowdsourcing-based social linkage and organizational innovation competence: knowledge transfer effectiveness and absorptive capacity as serial mediators
Year: 2024
Citation: 5

Crowdsourcing a wellspring of value co-creation: an integration of social capital and organisational learning mechanisms
Year: 2024
Citation: 4

Elucidating the determinants of crowdsourcing adoption for organisation value creation
Year: 2025
Citation: 3

 

Conclusion

Dr. Divya Mishra is a dynamic academician whose dedication to research, teaching, and innovation in Human Resource Management and Organizational Behavior significantly contributes to the evolving landscape of governance, technology, and organizational learning.

Andreea-Petra Ungur | Occupational Medicine | Best Researcher Award

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Dr. Andreea-Petra Ungur | Occupational Medicine | Best Researcher Award

Dr. Andreea Petra Ungur is a Romanian physician, academic, and researcher specializing in Occupational Medicine. She currently serves as an Assistant Lecturer at the Iuliu Hațieganu University of Medicine and Pharmacy in Cluj Napoca, teaching medical students in Romanian, English, and French. Her research is centered on the physiological and psychological implications of workplace stress, particularly burnout and circadian disruptions, as reflected in her ongoing PhD studies. With dual doctoral experiences—one in Medicine and one in Biotechnology—Dr. Ungur integrates clinical insight with laboratory science to explore metabolic biomarkers and endocrine disruptors in occupational health. In addition to her academic and clinical roles, she has a history in business and data analysis, bringing multidisciplinary perspectives to her work. Fluent in multiple languages and highly skilled in communication and digital tools, Dr. Ungur combines scientific rigor with a compassionate, evidence-based approach to improving worker health and wellness.

Profile

🎓 Education

Dr. Andreea Petra Ungur graduated with a Medical Degree from Iuliu Hațieganu University of Medicine and Pharmacy in Cluj Napoca in 2007, passing the National Licensing Exam the same year. She began her postgraduate training as a Resident Doctor in Occupational Medicine at the Leon Daniello Clinical Hospital, acquiring hands-on clinical skills in evaluating and treating work-related health issues. Her academic path continued with a PhD in Biotechnology at USAMV Cluj Napoca (2018–2019), focusing on the implications of endocrine disruptors in occupational health. Subsequently, she embarked on a second doctoral program in Medicine at UMF Cluj Napoca in 2019, investigating metabolic biomarkers and circadian disruptions related to burnout. Her doctoral research is supervised by Prof. Dr. Lucia Maria Procopciuc and includes both retrospective and prospective clinical studies. Dr. Ungur’s educational background underscores a strong commitment to integrating basic science with occupational clinical practice.

🧪 Experience

Dr. Ungur has over a decade of multidisciplinary experience spanning medicine, academia, and industry. Since 2020, she has been an Assistant Lecturer at the Occupational Medicine Department of UMF Cluj Napoca, delivering bilingual lectures and practical training to medical students. She has worked as an Occupational Medicine Physician at SC MEDSTAR SRL since 2019, performing clinical assessments, workplace evaluations, and risk analyses. Her earlier academic role as an Associate Lecturer laid the foundation for her teaching career. Between 2015 and 2018, she served as a Resident Doctor at the Leon Daniello Hospital, gaining valuable clinical exposure in occupational health. Prior to her medical practice, Dr. Ungur worked in commercial and analytical roles, including as a Commercial Director at SC Patrice SRL and as a Data Analyst at Evalueserve, enhancing her managerial and analytical acumen. Her career exemplifies the fusion of clinical practice, research, and professional versatility.

🏅 Awards and Honors

Dr. Andreea Petra Ungur has earned academic recognition for her innovative work on occupational stress and burnout. One of her PhD research articles, exploring metabolic biomarkers linked to burnout in healthcare professionals, was nominated for an academic award—highlighting the significance and originality of her contribution. Her publications in high-impact international journals such as Diagnostics, Metabolites, and Clocks & Sleep reflect her standing in the scientific community and her ability to address complex occupational health issues with scientific rigor. In addition to academic accolades, Dr. Ungur’s multilingual proficiency (Romanian, English, French, German, and Italian) has supported her success as a certified medical interpreter and international educator. Her diverse background in both medicine and biotechnology, combined with her public speaking and leadership capabilities, has positioned her as a promising figure in occupational medicine research and education.

🔬 Research Focus

Dr. Ungur’s research focuses on the intersection of occupational medicine, metabolic science, and psychological stress. Her primary interest lies in identifying biomarkers associated with burnout syndrome, particularly in healthcare workers. Her ongoing PhD research investigates how circadian rhythm disruptions and night-shift work impact metabolic pathways, potentially leading to chronic conditions such as cardiovascular diseases and cancer. Her approach blends retrospective clinical data, prospective subject monitoring, and advanced urine and blood metabolomic analysis. Another research avenue has been the exploration of endocrine disruptors in occupational settings during her earlier PhD in Biotechnology. Through interdisciplinary methodologies, Dr. Ungur seeks to contribute to early detection and preventive strategies in occupational health. Her work aims to bridge laboratory findings with real-world clinical outcomes, ultimately influencing health policy and work environment standards. She advocates for a scientific understanding of how workplace stress manifests biologically, aiming to inform both clinical practice and organizational interventions.

✅ Conclusion

Dr. Andreea Petra Ungur embodies a multidisciplinary blend of clinical practice, academic teaching, and groundbreaking research in occupational medicine. With a deep commitment to understanding and mitigating work-related health risks, her work on metabolic and psychological biomarkers stands at the forefront of modern occupational health research. Her dual training in medicine and biotechnology, coupled with her experience in education and data analysis, gives her a unique and impactful voice in the medical community. As a bilingual academic and clinician, she continues to inspire evidence-based solutions for healthier workplaces and professional well-being.

Publications

Busra Buran | Decision Making | Best Researcher Award

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Dr. Busra Buran | Decision Making | Best Researcher Award

Research Scholar| Istanbul Technical University, Turkey

Dr. Büşra Buran, born on August 13, 1988, in Kocaeli, Turkey, is a prominent expert in management engineering with a career deeply rooted in public transportation strategy and optimization. She currently serves as the Head of Strategy Development at IETT, Istanbul’s public transport authority. With over a decade of professional experience, Dr. Buran has successfully led numerous projects involving strategic planning, quality management, service improvement, and international collaboration. Her academic achievements include a Ph.D. in Management Engineering from Istanbul Technical University, an M.Sc. in Industrial Engineering from Galatasaray University, and a B.Eng. in Industrial Engineering from Yıldız Technical University. Fluent in English, she combines technical expertise with leadership capabilities, supported by various certifications in project management, quality control, and innovation. Her work has been recognized internationally, and she actively contributes to research with several publications focusing on fuzzy logic applications, transportation models, and digital transformation strategies in public transit systems.

Profile

🎓 Education

Dr. Büşra Buran holds a robust academic background in industrial and management engineering. She completed her Ph.D. in Business Management Engineering at Istanbul Technical University (2018–2023), graduating with a GPA of 3.5/4. Her doctoral research focused on advanced decision-making methods and innovation in public transportation. Prior to that, she earned her Master of Science in Industrial Engineering from Galatasaray University (2010–2012), achieving a GPA of 3.5/4. She began her academic journey with a Bachelor’s degree in Industrial Engineering from Yıldız Technical University (2007–2010), graduating with distinction (3.4/4). Her academic excellence is complemented by certifications in project management, innovation, quality systems, and team leadership. Dr. Buran’s education is deeply integrated with applied engineering practices, statistical modeling (SPSS, Minitab), simulation tools (Simul8), and machine learning (R), equipping her with a strong foundation in both theory and practice. Her studies enabled her to apply analytical, technical, and managerial skills to large-scale public service systems.

🧪 Experience

Dr. Büşra Buran has extensive professional experience in the public transportation sector, primarily at IETT, Istanbul’s leading transit authority. Since 2017, she has been serving as the Head of Strategy Development, where she manages strategic planning, performance metrics, quality systems, corporate innovation, and international partnerships. From 2014 to 2017, she was the Manager of Service Improvement, leading the development of a service quality model, auditing standards, and benchmarking global practices. Between 2013 and 2014, she worked as the Manager of Operation Planning, handling performance analysis and optimization of bus networks, including collaborative projects with TÜBİTAK. Her career began in 2010 as a Consultant for Istanbul’s Bus Rapid Transit system, optimizing routes and managing training for international BRT implementations. She is experienced in project management, process auditing, KPI reporting, and digital transformation. Her leadership has significantly enhanced the efficiency and global standing of Istanbul’s public transport network.

🏅 Awards and Honors

Dr. Büşra Buran has consistently demonstrated academic and professional excellence throughout her career. She graduated with honors at every level—achieving GPAs of 3.4/4 in her undergraduate studies, 3.5/4 in her master’s, and 3.5/4 during her Ph.D. She has also been recognized for her contributions to transportation planning and quality improvement at IETT, receiving internal commendations for successful project outcomes and strategic innovations. Her scientific research on fuzzy logic applications in public transport and sentiment analysis during the COVID-19 pandemic has been published in prestigious journals and international conferences by Springer and Elsevier. She has also earned certifications in Project Management, Corporate Quality, Risk & Process Management, and Leadership Innovation, strengthening her credentials as a thought leader in urban mobility systems. Her scholarly achievements, combined with her impactful real-world projects, highlight her as a distinguished figure in engineering management and urban transportation.

🔬 Research Focus

Dr. Buran’s research centers on the intersection of engineering management, public transportation systems, and fuzzy decision-making models. Her Ph.D. work and subsequent publications explore advanced methodologies such as Spherical and Intuitionistic Fuzzy AHP, hybrid fuzzy systems, sentiment analysis, and business model frameworks tailored for urban transport. She has published widely on topics such as bus type selection, public transport quality modeling, and global benchmarking of transit business models. Her studies frequently employ machine learning and simulation tools like R and Simul8, along with statistical software for system optimization. A significant part of her work also delves into digital transformation, strategic innovation, and service efficiency in public bus systems, particularly in mega-cities like Istanbul. Her research not only contributes theoretical advancements in engineering management but also provides practical insights for decision-makers in transit agencies, enhancing transportation planning, passenger satisfaction, and sustainable mobility strategies.

✅ Conclusion

Dr. Büşra Buran exemplifies the synergy between academic research and public sector innovation. With her strong background in industrial and management engineering, she has driven strategic advancements in Istanbul’s public transportation. Her work is a testament to effective leadership, data-driven decision-making, and continuous quality improvement in urban mobility systems.

Publications

Shui Yu | Reliability analysis and design optimization | Best Researcher Award

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Dr. Shui Yu | Reliability analysis and design optimization | Best Researcher Award

Yu Shui is an Associate Researcher at the University of Electronic Science and Technology of China, with a Ph.D. in Engineering and extensive academic and research experience in reliability analysis, robust design, and AI-driven robotics. He has previously held postdoctoral and lecturer roles at UESTC and Southwest Jiaotong University, respectively. His research spans intelligent systems, robust optimization, and reliability engineering, with publications in top-tier journals like Reliability Engineering & System Safety. His academic path reflects a strong commitment to developing advanced models and frameworks for time-variant reliability design and intelligent algorithms. He is an active researcher contributing to the frontiers of artificial intelligence in engineering systems.

Profile

Education 🎓

Yu Shui completed both his Bachelor’s (2009.09–2013.06) and Ph.D. (2013.09–2019.06) degrees at the University of Electronic Science and Technology of China (UESTC), majoring in engineering fields related to system reliability and optimization. His academic training provided a rigorous foundation in theoretical modeling, numerical simulations, and intelligent systems. During his doctoral studies, he focused on reliability design and probabilistic modeling under uncertainty, incorporating machine learning techniques into engineering optimization. He worked under distinguished mentors, gaining expertise in both the practical and theoretical aspects of engineering reliability. His Ph.D. research laid the groundwork for innovative solutions to complex, real-world reliability issues using AI methods.

Experience 👨‍🏫

Yu Shui started his academic career with a postdoctoral position (2019.07–2021.07) at UESTC, focusing on intelligent algorithms in reliability systems. From 2021.07 to 2024.03, he worked as a Lecturer at Southwest Jiaotong University, where he led courses and supervised research in design optimization and AI applications. In March 2024, he returned to UESTC as an Associate Researcher, contributing to high-impact projects in robotics and reliability engineering. Throughout his career, he has collaborated on interdisciplinary projects involving surrogate modeling, dynamic pruning methods, and AI-driven design optimization, earning recognition for both teaching and research contributions.

Research Interests 🔬

Yu Shui’s research centers on reliability analysis, robust design, intelligent robotics, and artificial intelligence. He develops optimization frameworks and surrogate models to improve the performance and resilience of complex engineering systems. His work incorporates Bayesian regression, dynamic pruning, and demand-objective frameworks for time-variant reliability-based design. His interdisciplinary focus bridges engineering with machine learning, pushing the boundaries of how intelligent systems can manage uncertainty in design and operations. He is particularly interested in integrating AI techniques into robust mechanical systems to enhance reliability in real-world applications.

Publications

  • Empirical Examination of the Interactions Between Healthcare Professionals and Patients Within Hospital Environments—A Pilot Study

    Hygiene
    2025-05-08 | Journal article
    DOI: 10.3390/hygiene5020020
    CONTRIBUTORS: Dimitris Charalambos Karaferis; Dimitris A. Niakas

  • Digitalization and Artificial Intelligence as Motivators for Healthcare Professionals

    Japan Journal of Research
    2025-01-01 | Journal article
    DOI: 10.33425/2690-8077.1170
    CONTRIBUTORS: Karaferis Dimitris; Balaska Dimitra; Pollalis Yanni

  • Workplace Violence in Healthcare: Effects and Preventive Measures and Strategies

    SunText Review of Case Reports & Images
    2024 | Journal article
    DOI: 10.51737/2766-4589.2024.141
    Part ofISSN: 2766-4589
    CONTRIBUTORS: Karaferis D; Balaska D

  • Enhancement of Patient Engagement and Healthcare Delivery Through the Utilization of Artificial Intelligence (AI) Technologies

    Austin Journal of Clinical Medicine
    2024-11-15 | Journal article
    DOI: 10.26420/austinjclinmed.2024.1053
    Part of ISSN: 2381-9146
    CONTRIBUTORS: Department of Economic Science, University of Piraeus, Piraeus, Greece; Dimitris Karaferis; Dimitra Balaska; Department of Economic Science, University of Piraeus, Piraeus, Greece; Yannis Pollalis; Department of Economic Science, University of Piraeus, Piraeus, Greece

Elijah Stommel | Toxicology | Best Researcher Award

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Dr. Elijah Stommel | Toxicology | Best Researcher Award

Dr. Elijah W. Stommel is a distinguished neurologist born in Hamilton, Bermuda 🌊, currently serving as Professor of Neurology at the Geisel School of Medicine at Dartmouth 🧠, renowned for his clinical expertise, pioneering ALS research, and dedication to patient-centered care 💡; his prolific academic journey, consulting roles, and leadership in rare disease research reflect decades of unwavering service to neurology 🏥, academia 📚, and public health advocacy 🧬.

Profile

Education 🎓

Dr. Stommel holds an M.D. (1987) and a Ph.D. in Physiology (1984) from Boston University School of Medicine 🎓; he earned a B.A. with High Honors in Music from Bowdoin College 🎵 (1977), pursued advanced coursework at MIT 🏛️, and honed his research skills as a Research Assistant at the Marine Biological Laboratory in Woods Hole 🔬 — blending physiology, neurology, and music to form a truly interdisciplinary academic foundation 📘.

Experience 👨‍🏫

With over three decades in clinical neurology 🧠, Dr. Stommel progressed from Chief Resident at Dartmouth-Hitchcock (1990-91) to Professor of Neurology (2013–present) 👨‍🏫; he has served as Staff Neurologist at Dartmouth-Hitchcock Clinic since 1991 🏥, held multiple consultant roles across Vermont and New Hampshire 🗺️, and co-directs the Electromyography Lab ⚡, establishing himself as a trusted educator, clinician, and research mentor in both academic and hospital environments 🌟.

Awards & Recognitions 🏅

Dr. Stommel’s commitment to humanism and excellence in neurology earned him a nomination for the prestigious Tow Humanism in Medicine Award 🏆 (2011); he is a Fellow of the American Academy of Neurology 🎖️ and holds long-standing certifications in Electrodiagnostic Medicine and Neurology 🧠, complemented by leadership roles on numerous committees advancing research ethics, clinical trials, and medical education 📋💡.

Research Interests 🔬

Dr. Stommel’s research revolves around neurodegenerative diseases, especially ALS 🧬, exploring environmental toxins 🌿, nanotechnology 🧪, and biomarkers 🔍 to advance diagnostics and therapeutics; as an active reviewer and editor for journals like Nature Nanotechnology, Frontiers in Neurology, and Molecular Neurobiology 🧠, he continually shapes scientific discourse while his collaborative work with global ALS consortia helps identify novel causal pathways and treatment avenues 🌍💡.

Publications

Quanying Lu | Forecasting | Best Researcher Award

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Dr. Quanying Lu | Forecasting | Best Researcher Award

Dr. Quanying Lu is an Associate Professor at Beijing University of Technology, specializing in energy economics, forecasting, and systems engineering. 🎓 She completed her Ph.D. at the University of Chinese Academy of Sciences and has published 30+ papers in top journals, including Nature Communications and Energy Economics. 📚 She has held postdoctoral and research positions in prestigious institutions and actively contributes to policy research. 🌍

Profile

Education 🎓

  • Ph.D. (2017-2020): University of Chinese Academy of Sciences, School of Economics and Management, supervised by Prof. Shouyang Wang.
  • M.Sc. (2014-2017): International Business School, Shaanxi Normal University, supervised by Prof. Jian Chai.
  • B.Sc. (2010-2014): International Business School, Shaanxi Normal University, Department of Economics and Statistics.

Experience 👨‍🏫

  • Associate Professor (06/2022–Present), Beijing University of Technology, supervising Ph.D. students.
  • Postdoctoral Fellow (07/2020–05/2022), Academy of Mathematics and Systems Science, Chinese Academy of Sciences.
  • Research Assistant (08/2018–10/2018), Department of Management Sciences, City University of Hong Kong.

Awards & Recognitions 🏅

  • Outstanding Young Talent, Phoenix Plan, Chaoyang District, Beijing (2024).
  • Young Scholar of Social Computing, CAAI-BDSC (2024).
  • Young Scholar of Forecasting Science, Frontier Forum on Forecasting Science (2024).
  • Young Elite Scientists Sponsorship, BAST (2023).
  • Excellent Mentor, China International “Internet Plus” Innovation Competition (2023).

Research Interests 🔬

Dr. Lu specializes in energy economics, environmental policy analysis, economic forecasting, and systems engineering. 📊 Her research addresses crude oil price dynamics, carbon reduction strategies, and financial market interactions. 💡 She integrates machine learning with forecasting models, contributing to sustainable energy and environmental policies. 🌍

Publications 

[1] Liang, Q., Lin, Q., Guo, M., Lu, Q., Zhang, D. Forecasting crude oil prices: A
Gated Recurrent Unit-based nonlinear Granger Causality model. International
Review of Financial Analysis, 2025, 104124.
[2] Wang, S., Li, J., Lu, Q. (2024) Optimization of carbon peaking achieving paths in
Chinas transportation sector under digital feature clustering. Energy, 313,133887
[3] Yang, B., Lu, Q.*, Sun, Y., Wang, S., & Lai, K. K. Quantitative evaluation of oil
price fluctuation events based on interval counterfactual model (in Chinese).
Systems Engineering-Theory & Practice, 2023, 43(1):191-205.
[4] Lu, Q.*, Shi, H., & Wang, S. Estimating the shock effect of “Black Swan” and
“Gray Rhino” events on the crude oil market: the GSI-BN research framework (in
Chinese). China Journal of Econometrics, 2022, 1(2): 194-208.
[5] Lu, Q., Duan, H.*, Shi, H., Peng, B., Liu, Y., Wu, T., Du, H., & Wang, S*. (2022).
Decarbonization scenarios and carbon reduction potential for China’s road
transportation by 2060. npj Urban Sustainability, 2: 34. DOI:
https://www.nature.com/articles/s42949-022-000.
[6] Lu, Q., Sun, Y.*, Hong, Y., Wang, S. (2022). Forecasting interval-valued crude
oil prices via threshold autoregressive interval models. Quantitative Finance,
DOI: 10.1080/14697688.2022.2112065
Page 3 / 6
[7] Guo, Y., Lu, Q.*, Wang, S., Wang, Q. (2022). Analysis of air quality spatial
spillover effect caused by transportation infrastructure. Transportation Research
Part D: Transport & Environment, 108, 103325.
[8] Wei, Z., Chai, J., Dong, J., Lu, Q. (2022). Understanding the linkage-dependence
structure between oil and gas markets: A new perspective. Energy, 257, 124755.
[9] Chai, J., Zhang, X.*, Lu, Q., Zhang, X., & Wang, Y. (2021). Research on
imbalance between supply and demand in China’s natural gas market under the
double -track price system. Energy Policy, 155, 112380.
[10]Lu, Q., Sun, S., Duan, H.*, & Wang, S. (2021). Analysis and forecasting of crude
oil price based on the variable selection-LSTM integrated model. Energy
Informatics, 4 (Suppl 2):47.
[11]Shi, H., Chai, J.*, Lu, Q., Zheng, J., & Wang, S. (2021). The impact of China’s
low-carbon transition on economy, society and energy in 2030 based on CO2
emissions drivers. Energy, 239(1):122336, DOI: 10.1016/j.energy.2021.122336.
[12]Jiang, S., Li, Y., Lu, Q., Hong, Y., Guan, D.*, Xiong, Y., & Wang, S.* (2021).
Policy assessments for the carbon emission flows and sustainability of Bitcoin
blockchain operation in China. Nature Communications, 12(1), 1-10.
[13]Jiang, S., Li Y., Lu, Q., Wang, S., & Wei, Y*. (2021). Volatility communicator or
receiver? Investigating volatility spillover mechanisms among Bitcoin and other
financial markets. Research in International Business and Finance,
59(4):101543.
[14]Lu, Q., Li, Y., Chai, J., & Wang, S.* (2020). Crude oil price analysis and
forecasting ：A perspective of “new triangle”. Energy Economics, 87, 104721.
DOI: 10.1016/j.eneco.2020.104721.
[15]Chai, J., Shi, H.*, Lu, Q., & Hu, Y. (2020). Quantifying and predicting the
Water-Energy-Food-Economy-Society-Environment Nexus based on Bayesian
networks – a case study of China. Journal of Cleaner Production, 256, 120266.
DOI: 10.1016/j.jclepro.2020.120266.
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Meryem Yankol-Schalck | Insurance and Machine Learning | Best Researcher Award

Published on by Cognitive Scientist Awards

Assist. Prof. Dr. Meryem Yankol-Schalck | Insurance and Machine Learning | Best Researcher Award

 

Profile

Education

She holds a Ph.D. in Econometrics and Machine Learning from the University of Orleans (2018–2022), where she investigated new machine learning approaches for financial fraud detection and survival analysis in the insurance industry under the supervision of S. Tokpavi. In addition, she earned a Data Science Certificate (Executive) from the Institute of Risk Management (IRM) in 2016–2017. Her academic background also includes a Master’s degree in Mathematical Engineering (Applied Statistics) from Paris-Sud University (2004–2007) and a Master’s degree in Mathematics from the University of Marmara in Istanbul (1995–1999). Since September 2022, she has been an Assistant Professor of Data Science at IPAG Business School in Nice and Paris. With extensive experience in the insurance sector, she integrates her professional insights into the classroom, emphasizing practical AI applications. Her curriculum reflects the latest trends in data science, fostering a dynamic learning environment tailored to students’ needs. She adapts resources and pedagogical methods to specific course objectives, utilizing tools such as Tableau for data visualization and exploring real-world business applications, including Netflix, Uber, ChatGPT, Gemini, and facial recognition technologies.

 

Work experience

She has held various academic and professional roles, combining her expertise in data science, machine learning, and business analytics. From September 2022 to January 2023, she was an adjunct faculty member at the International University of Monaco, where she taught Mathematics for Business. Prior to that, from September 2021 to August 2022, she served as an adjunct faculty member at IPAG Business School (Nice), teaching courses such as “Data Analysis for Business Management” (BBA3), “Data Processing” (MSc, e-learning), “Digital and Sales” (GEP 5th year), and “Introduction to Statistics” (BBA1). Between September 2020 and October 2021, she was an adjunct faculty member at EMLV (Paris), where she taught “Quantitative Data Analytics – SPSS” (GEP 4th year, hybrid learning) and supervised master’s theses for GEP 5th-year students.

In addition to her academic roles, she has extensive experience in the consulting and insurance sectors. From March to November 2020, she worked as a Senior Consultant at Fraeris (Paris), supporting clients in project development and providing technical solutions. She collaborated with the “Caisse de Prévoyance Sociale” (CPS) of French Polynesia, modeling healthcare expenditures using machine learning techniques. She developed predictive models to analyze healthcare costs from both the insured’s and CPS’s perspectives, offering actionable insights and data-driven forecasts to aid long-term financial planning. Prior to that, in 2019–2020, she was a Senior Manager in Pricing & Data P&C at Addactis (Paris), where she supported clients in project development, innovation, and strategic planning. As an expert referent for ADDACTIS® Pricing software, she worked on database processing for BNP Paribas Cardif, facilitating APLe software operations for quarterly account closings.

Memberships and Projects:

• Membership of the American Risk and Insurance Association (ARIA)
• Membership of the academic association AFSE.
• Member of the RED Flag Project of the University of Orléans in cooperation with CRJPothier.
• Participation at 3 Erasmus+ Projects: Artificial Intelligence to support Education (EducAItion).
• Virtual Incubator Tailored to All Entrepreneurs (VITAE).
• Artificial Intelligence in high Education (PRAIME),

Research topics:

Studies focus on the application of data science techniques to business issues, particularly in the insurance
sector, and on climate change. Another topic of study is the relationship between AI and education.

Publication

  • Yankol-Schalck, M. (2023). Auto Insurance Fraud Detection: Leveraging Cost Sensitive and Insensitive
    Algorithms for comprehensive Analysis, Insurance: Mathematics and Economics.(
    (https://www.sciencedirect.com/science/article/abs/pii/S0167668725000216)
    Banulescu‐Radu, D., & Yankol‐Schalck, M. (2024). Practical guideline to efficiently detect insurance fraud
    in the era of machine learning: A household insurance case. Journal of Risk and Insurance, 91(4), 867-
    913.
    Yankol-Schalck, M. (2022). A Fraud Score for the Automobile Insurance Using Machine Learning and
    Cross-Data set Analysis, Research in International Business and Finance, Volume 63, 101769.
    Schalck, C., Yankol-Schalck, M. (2021). Failure Prediction for SME in France: New evidence from
    machine learning techniques, Applied Economics, 53(51), 5948-5963.
    On- going research:
    Yankol-Schalck (2025). Auto Insurance Fraud Detection: Machine Learning and Deep Learning
    Applications, submitted in Journal of Risk and Insurance.
    Schalck, C., Yankol-Schalck, M. (2024). Churn prediction in the French insurance sector using Grabit
    model, revision in Journal of Forecasting.
    Schalck, C., Seungho, L., Yankol-Schalck, M. (2024). Characteristics of firms and climate risk
    management: a machine learning approach. Work in progress for The Journal of Financial Economics.
    Yankol-Schalck M.and Chabert Delio C., (2024). The application of machine learning to analyse changes in
    consumer behaviour in a major crisis. Work in progress.
    Yankol-Schalck M. and Nasseri A. (2024).An investigation into the integration of artificial intelligence in
    education: Implications for teaching and learning methods. Work in progress.