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.
[16]Lu, Q., Chai, J., Wang, S.*, Zhang, Z. G., & Sun, X. C. (2020). Potential energy
conservation and CO2 emission reduction related to China’s road transportation.
Journal of Cleaner Production, 245, 118892. DOI:
10.1016/j.jclepro.2019.118892.
[17]Chai, J., Lu, Q.*, Hu, Y., Wang, S., Lai, K. K., & Liu, H. (2018). Analysis and
Bayes statistical probability inference of crude oil price change point.
Technological Forecasting & Social Change, 126, 271-283.
[18]Chai, J., Lu, Q.*, Wang, S., & Lai, K. K. (2016). Analysis of road transportation
consumption demand in China. Transportation Research Part D: Transport &
Environment, 2016, 48:112-124.

 

Meryem Yankol-Schalck | Insurance and Machine Learning | Best Researcher Award

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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.

Taylor Napier | Intimate Partner Violence | Best Researcher Award

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Dr. Taylor Napier | Intimate Partner Violence | Best Researcher Award

 

 

Profile

Education

She earned her Doctor of Philosophy in Clinical Psychology in 2024 from the Department of Psychology at the University of Memphis, an APA-accredited program. Her major area of study focused on Child, Adolescent, and Family Studies, and her dissertation, titled Violence Across the Family System: Examining the Direct and Intergenerational Effects of Violence Victimization on Youth’s Social Competence, was chaired by Dr. Kathryn H. Howell. As part of her doctoral training, she completed a predoctoral psychology internship in the Department of Psychiatry & Behavioral Sciences at the Oklahoma Health Science Center, an APA-accredited program, specializing in the Child Clinical track under the supervision of Training Director Dr. Jim Scott.

She previously earned a Master of Science in General Psychology from the University of Memphis in 2019, where she worked under the guidance of Dr. Kathryn H. Howell. Her thesis, Differentiating the Effects of Anxious and Avoidant Attachment on Depression and Resilience Following Trauma, explored the impact of attachment styles on mental health outcomes. She completed her undergraduate studies in 2016, earning a Bachelor of Science in Psychology from Gardner-Webb University in Boiling Springs, NC.

Work experience

She has gained extensive supervised clinical experience across various settings. From 2023 to 2024, she served as a Clinical Psychology Resident at the University of Oklahoma Health Science Center at OUHealth in Oklahoma City, OK, dedicating 24 hours per week to the Child Study Center. In this outpatient training clinic, she provided evidence-based parenting training programs and therapy services for children and families, including those involved with the child welfare system. Her responsibilities included administering cognitive and behavioral assessments, composing comprehensive developmental reports, conducting psychodiagnostic assessments, and developing treatment plans. She provided behavioral management services using Parent-Child Interaction Therapy (PCIT), trauma-based services with Trauma-Focused Cognitive Behavioral Therapy (TF-CBT), and anxiety treatments, including Selective Mutism interventions. Additionally, she monitored client treatment progress, maintained weekly documentation, and used electronic health records under the supervision of licensed psychologists, including Drs. Elizabeth Bard, Tabitha Fleming, Beverly Funderburk, Erin Taylor, and Ashley Galsky.

Simultaneously, from 2023 to 2024, she worked 12 hours per week as a Clinical Psychology Resident at Stevenson Cancer Center, where she provided mental health counseling for adults with cancer within an interdisciplinary healthcare setting. She conducted biopsychosocial assessments to determine the need for brief psychotherapy interventions following cancer diagnoses, created treatment plans, and delivered cognitive-behavioral treatments while assessing symptom changes over time. She also completed weekly documentation using an electronic health record system under the supervision of Drs. Rachel Funk-Lawler and Blake Hilton.

From 2020 to 2023, she was a Graduate Student Therapist at the Psychological Services Center in Memphis, TN, a university-based outpatient training clinic serving a diverse community population. She administered psychological and behavioral assessments, formulated cases, created treatment plans, and conducted psychotherapy using empirically supported treatments. Additionally, she regularly monitored client progress through validated assessments, conducted risk assessments, and maintained comprehensive documentation, including session notes and closing reports, under the supervision of licensed psychologists Drs. Kristoffer S. Berlin, Audrey Townsel, and Ryan Farmer.

During the 2021-2022 academic year, she worked 20 hours per week as a Graduate Clinician at the University of Tennessee Health Science Center’s Center for Developmental Disabilities in Memphis, TN. In this interdisciplinary setting, she conducted diagnostic intake interviews, administered psychometric scales, and performed cognitive and socio-emotional testing for children suspected of having neurodevelopmental disabilities. Her work informed differential diagnoses, and she provided Applied Behavior Analysis (ABA) services through the ABA for Families program. She also composed comprehensive reports, documented treatment plans, and tracked and graphed session data, supervised by Drs. Philip Norfolk, Alexandra Vohs, Bruce Keisling, and Colby Taylor.

In the summer of 2021, she volunteered as a Graduate Psychometrician at Irby Psychological Services in Southaven, MS, where she administered psychological, cognitive, and behavioral assessments for children and adolescents with developmental disabilities and various mental health diagnoses. She also composed integrated psychological reports, conducted intake assessments with primary caregivers, and participated in family feedback sessions to review the final reports under the supervision of Dr. Sarah Irby.

Between 2017 and 2019, and again from 2022 to 2023, she served as a Group Intervention Leader at the University of Memphis, facilitating a five-week intervention program for pregnant women who had recently experienced intimate partner violence. She led weekly two-hour group intervention sessions covering cognitive-behavioral, mindfulness, dialectical-behavioral, and motivational interviewing strategies, along with psychoeducation on violence, pregnancy, and parenting. This work was supervised by Drs. Kathryn H. Howell and Laura Miller-Graff.

Award and Honor

She has received numerous honors and awards in recognition of her academic excellence and professional achievements. In 2024, she was honored as the Outstanding Clinical Psychology Intern at the Oklahoma Health Science Center in Oklahoma City, OK. In 2022, she was recognized as an Emerging Student Leader by the Association of University Centers on Disabilities at the University of Tennessee Health Science Center’s Center for Developmental Disabilities in Memphis, TN. That same year, she received the Life Paths Student Scholarship from the Life Paths Research Center for the Mindful Writing Retreat in Nashville, TN, which included a $340 award based on her professional development statement.

Earlier in her academic career, she was awarded the Craig M. Brown Master’s Program in General Psychology Director’s Award in 2019 from the University of Memphis, receiving a $1,000 scholarship for academic excellence. In 2016, she was recognized as the Outstanding Undergraduate Student in Psychology at Gardner-Webb University, an honor given to a psychology student demonstrating exceptional promise in the field as determined by faculty.

She has also received multiple travel awards to support her participation in scientific conferences. Between 2017 and 2023, she was granted a total of $3,500 through the Conference Travel Grant from the University of Memphis Department of Psychology. In 2018, she was awarded the American Psychological Association Student Travel Award to attend the APA Conference in San Francisco, CA, receiving $300 based on her travel funding application. Additionally, she was a recipient of the College of Arts & Sciences Travel Funding Award from the University of Memphis in 2018, securing another $300 to support her professional development through conference travel.

 

Publication

Mostapha Brahmi | Toxicology | Best Researcher Award

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Dr. Mostapha Brahmi | Toxicology | Best Researcher Award

Biochemistry at University of Relizane, Algeria

Dr. Mostapha Brahmi is a distinguished researcher and educator in biochemistry and toxicology, recognized for his contributions to understanding the biological impacts of xeno-biotics and essential oil characterization. With an impressive academic and professional trajectory, he serves as a mentor to aspiring scientists and as an active contributor to advancing toxicology and biochemistry research. His dedication is evident through his prolific publications, collaborations with international research institutions, and leadership in academic programs. Dr. Brahmi’s work reflects a commitment to addressing global challenges in toxicology and natural product research, making him a notable figure in his field.

Profile

Google Scholar

Education

Dr. Brahmi completed his Doctorate in Biochemistry and Experimental Toxicology in 2020 from the Université Dr Tahar Moulay Saida, Algeria. Prior to this, he earned a Master’s degree in Biochemistry and Cell Physiology in 2015 from the same university and a Higher Studies Diploma in Biochemistry in 2012 from Université d’Oran Es-Senia. His foundational education began with a Bachelor’s degree in Natural and Life Sciences in 2008 from Lycée Abdelmoumen, Saida, Algeria. This progressive educational journey reflects his consistent focus on advancing his expertise in biochemistry and related disciplines.

Professional Experience

Dr. Brahmi is currently an Associate Lecturer at the National Institute of Higher Paramedical Training, Saida, Algeria, where he teaches toxicology, pharmacology, and pharmacy. Since 2022, he has also been serving as a Lecturer at the University of Relizane, Algeria, teaching biochemistry, enzymology, and toxicology. Additionally, he oversees the Master’s program in Applied Biochemistry at the Department of Biological Sciences, demonstrating his leadership and commitment to academic excellence. Dr. Brahmi has also engaged in foreign research internships in Belgium and France, further enriching his professional portfolio.

Research Interests

Dr. Brahmi’s research focuses on the extraction, purification, and characterization of essential oils and their biological activities. He investigates the toxicological impacts of xeno-biotics, including heavy metals, pesticides, and mycotoxins, on neurotoxicity, hepatotoxicity, and nephrotoxicity. His work also explores the therapeutic potential of natural products in mitigating toxicological effects, contributing to advancements in experimental toxicology and pharmacological applications. His research bridges the gap between natural product chemistry and toxicology, making significant contributions to the scientific understanding of bioactive compounds.

Research Skills

Dr. Brahmi excels in various research methodologies, including in vivo and in vitro biological evaluations, essential oil characterization, and toxicological assays. His expertise extends to assessing neurotoxic, hepatotoxic, and nephrotoxic effects of environmental toxins. Additionally, he is skilled in mentoring and supervising postgraduate students, with a record of guiding 10 Master’s students and co-supervising two doctoral candidates. His editorial contributions to scientific journals and his ability to synthesize complex data further highlight his exceptional research skills.

Awards and Honors

Dr. Brahmi has received recognition for his scholarly contributions through invitations to present at conferences and serve on editorial boards of journals such as Advances in Traditional Medicine and Natural Product Research. His 28 publications in international journals, four authored books, and 35 scientific presentations underscore his academic impact. His dedication to fostering scientific understanding has positioned him as a respected figure in the fields of biochemistry and toxicology.

Publications

Preliminary Study of the Pre-Germinative Treatments of Juniperus oxycedrus L. and Pistacia lentiscus L. in the Saida Region (Western Algeria)

  • Authors: SA Aouadj, M Zouidi, A Allam, M Brahmi, M Djebbouri, Y Nasrallah, …
  • Journal: Biodiversity: Research and Conservation
  • Volume: 67, Pages 13–20
  • Citations: 11
  • Publication Year: 2022

Effets Prophylactiques de l’Huile Essentielle de Syzygium aromaticum Chez les Rats Wistar en Développement Coexposés au Plomb et au Manganèse

  • Authors: DEH Adli, K Kahloula, M Slimani, M Brahmi, M Benreguieg
  • Journal: Phytothérapie
  • Citations: 9
  • Publication Year: 2017

The Therapeutic Effect of Cinnamomum cassia Essential Oil Against Hepatotoxicity Induced by Co-Exposure to Lead and Manganese in Developing Wistar Rats

  • Authors: DEH Adli, M Brahmi, K Kahloula, W Arabi, B Bouzouira, M Talatizi, …
  • Journal: Journal of Drug Delivery and Therapeutics
  • Volume: 10 (5), Pages 49–55
  • Citations: 7
  • Publication Year: 2020

Evaluation of the Therapeutic Effects of Mentha spicata Essential Oil at the Liver Level in Developing Wistar Rats Co-Exposed to Lead and Manganese

  • Authors: M Brahmi, DEH Adli, M Slimani, W Arabi, N Taibi, K Kahloula
  • Journal: Carpathian Journal of Food Science & Technology
  • Volume: 11 (2)
  • Citations: 7
  • Publication Year: 2019

The Efficiency of Syzygium aromaticum Essential Oil Against Renal Intoxication by Lead in Rats During Development

  • Authors: DEH Adli, K Hachem, M Benreguieg, M Brahmi, K Kahloula, S Miloud
  • Journal: Bioscience Research
  • Volume: 15 (3), Pages 2126–2133
  • Citations: 7
  • Publication Year: 2018

Prophylactic Effects of Syzygium aromaticum Essential Oil on Developing Wistar Rats Co-Exposed to Lead and Manganese

  • Authors: DEH Adli, K Kahloula, M Slimani, M Brahmi, M Benreguieg
  • Journal: Phytothérapie
  • Pages: 1–7
  • Citations: 6
  • Publication Year: 2017

Conclusion

Dr. Mostapha Brahmi is an accomplished biochemist and toxicologist whose contributions have advanced the understanding of natural products and toxicology. With a solid educational foundation, extensive professional experience, and a keen interest in impactful research, he embodies the qualities of an innovative and committed scientist. His ability to mentor students, produce high-quality research, and collaborate internationally underscores his role as a leader in his field. Dr. Brahmi’s achievements make him a compelling candidate for recognition and awards celebrating excellence in research.