Beverlin Rosario-Williams | Psychology | Young Scientist Award

Dr. Beverlin Rosario-Williams | Psychology | Young Scientist Award 

Postdoctoral | Johns Hopkins University Bloomberg School of Public Health | United States

Beverlin Rosario-Williams, Ph.D., is a compelling candidate for the Research for Young Scientist Award. Here’s an evaluation of her strengths, areas for improvement, and a conclusion based on her qualifications and experience:

Strengths for the Award:

  1. Extensive Clinical and Research Training: Dr. Rosario-Williams has a robust clinical and research background, including a Postdoctoral Fellowship at Johns Hopkins Bloomberg School of Public Health and a Ph.D. in Psychology from The Graduate Center of the City University of New York. Her diverse training across multiple clinical settings and theoretical orientations (e.g., DBT, CBT, TF-CBT) showcases her ability to handle complex clinical issues and her commitment to evidence-based practices.
  2. Significant Research Contributions: Her research portfolio is impressive, with numerous peer-reviewed publications addressing critical issues such as suicide ideation, cognitive emotion regulation, and the impact of psychological maltreatment. Her research is published in high-impact journals and covers a range of topics relevant to mental health and psychological research. This demonstrates her capability to contribute valuable insights to the field of psychology.
  3. Diverse Professional Experience: Dr. Rosario-Williams has worked in various settings, including inpatient psychiatry, outpatient clinics, and integrated primary care. This breadth of experience highlights her adaptability and proficiency in addressing diverse clinical challenges. Her ability to provide services in both English and Spanish further emphasizes her commitment to culturally competent care.
  4. Ongoing Professional Development: Her engagement in specialized training and workshops, such as Trauma-Focused Cognitive Behavioral Therapy and Motivational Interviewing, underscores her dedication to staying current with the latest evidence-based practices and methodologies.
  5. Strong Publication Record: The number and quality of her publications, including articles in prestigious journals and book chapters, reflect her active involvement in advancing scientific knowledge. Her work on suicide risk, cognitive biases, and emotional regulation is particularly relevant to the goals of the Research for Young Scientist Award.

Areas for Improvement:

  1. Broader Research Impact: While Dr. Rosario-Williams has a strong publication record, increasing the impact and visibility of her research through more high-profile collaborations or interdisciplinary projects could further enhance her profile. Engaging in research that has direct applications for public health or policy could also broaden her influence.
  2. Leadership and Grantsmanship: Developing skills in leading large-scale research projects or securing grant funding could be beneficial. Demonstrating experience in these areas would strengthen her position as a leading researcher and increase her chances of obtaining future funding for innovative projects.
  3. Public Engagement: Enhancing her involvement in public or community-based research initiatives could help translate her findings into practical applications and increase her outreach efforts. Participating in community workshops or advocacy could also broaden the impact of her research.

Short Bio

Dr. Beverlin Rosario-Williams is a distinguished psychologist specializing in adolescent mental health, with a focus on cognitive and emotional processes. Currently a Postdoctoral Fellow at Johns Hopkins Bloomberg School of Public Health, she has developed a robust profile through extensive clinical experience and impactful research. Dr. Rosario-Williams is recognized for her contributions to understanding and addressing suicide ideation, cognitive biases, and emotional regulation. Her bilingual capabilities in English and Spanish enhance her ability to provide culturally competent care and contribute to diverse research populations.

Profile

Google Scholar

Education

Dr. Rosario-Williams earned her Ph.D. in Psychology from The Graduate Center of the City University of New York in 2024. She completed an APA Accredited Clinical Psychology Predoctoral Internship at Children’s National Hospital in the same year. Her educational background includes a Bachelor of Science in Psychology from Xavier University of Louisiana (2017) and an En Route M.A. in Psychology from The Graduate Center of the City University of New York (2019). She is currently advancing her expertise through a Postdoctoral Fellowship at Johns Hopkins Bloomberg School of Public Health.

Experience

Dr. Rosario-Williams has diverse clinical experience across multiple settings. At Children’s National Hospital, she provided intensive therapy to adolescents and adapted therapy groups for Spanish-speaking caregivers. Her work in outpatient psychology involved providing evidence-based interventions and conducting family therapy. Additionally, she has contributed to integrated primary care by offering consultation services and short-term therapy. Her involvement in specialized clinics, such as the Mood and Trauma Clinic, further underscores her expertise in DBT and TF-CBT.

Research Interests

Dr. Rosario-Williams’s research interests are centered on suicide ideation, cognitive and emotional processes, and the impact of psychological maltreatment. Her work investigates the mechanisms underlying cognitive biases in suicide ideation, the role of emotional regulation strategies, and the socio-cultural factors influencing mental health outcomes. She aims to enhance understanding and treatment approaches for mental health issues, particularly among diverse and underserved populations.

Awards

Dr. Rosario-Williams has been recognized for her outstanding contributions to psychology through numerous awards and honors, including notable mentions in peer-reviewed journals and academic conferences. Her dedication to advancing clinical practice and research has positioned her as a leading young scientist in the field.

Publications

  1. Rosario-Williams, B., & Miranda, R. (In Press). Negative Affect Influences Suicide-Specific Attentional Biases. Journal of Mood & Anxiety Disorders. Link
  2. Mitchell, E., Rosario-Williams, B., Tsypes, A., Yeshchenko, I., & Miranda, R. (2023). Trajectories of Cognitive Emotion Regulation Strategies in Emerging Adults with Different Self-Harm Histories. Journal of Affective Disorders Reports. Link
  3. Rosario-Williams, B., & Miranda, R. (2023). Explaining the Prospective Relation between Ruminative Styles and Suicide Ideation: The Moderating Role of Active and Passive Problem Solving. Cognitive Therapy and Research, 1-13. Link
  4. Miranda, R., Wheeler, A., Chapman, J., Ortin, A., Mañana, J., Rosario-Williams, B., & Andersen, S. (2023). Explaining the Prospective Relation between Future-Oriented Repetitive Thought, Depressive Symptoms, and Suicide Ideation Severity: Role of Future-Event Fluency and Depressive Predictive Certainty. Journal of Affective Disorders, 335, 401-409. Link
  5. Rosario-Williams, B., Akter, S., Kaur, S., & Miranda, R. (2023). Cognitive Accessibility and Attention Disengagement Bias in Suicide Ideation. Journal of Psychopathology and Clinical Science, 132(2), 173–184. Link
  6. Rice, J., Rosario-Williams, B., Williams, F., West-Livingston, L., Savage, D., Wilensky, J. A., & Landry, A. (2023). Impostor Syndrome among Minority Medical Students Who are Underrepresented in Medicine. Journal of the National Medical Association. Link
  7. Xu, M., Rosario-Williams, B., Kline, E., & Miranda, R. (2022). Social cognitive mechanisms between psychological maltreatment and adolescent suicide ideation: Race/ethnicity and gender as moderators. Psychology of Violence, 12(6), 393–402. Link
  8. Rosario-Williams, B., Ray, M., Rowe-Harriott, S., Jeglic, E., & Miranda, R. (2022). Factors precipitating suicide attempts vary across race. The Journal of American College Health, 70(2), 568-574. Link
  9. Rosario-Williams, B., Kaur, S., & Miranda, R. (2021). Examining Decentering as a Potential Buffer in the Relation between Non-Suicidal Self-Injury and Psychological Symptoms. Suicide and Life-Threatening Behaviors, 51(4), 741-754. Link
  10. Rosario-Williams, B., Rombola, C., & Miranda, R. (2021). Being Certain that Negative Events Will Happen or that Positive Events Will Not Happen: Depressive Predictive Certainty and Change in Suicide Ideation over Time. Suicide and Life-Threatening Behaviors, 51(6), 1106–1116. Link
  11. Robles, G., Dellucci, T. V., Rosario-Williams, B., Jimenez, R. H., Rodríguez-Díaz, C. E., & Starks, T. J. (2022). Factors associated with individual and couple participation in online sexual health research with Latinx sexual minority men. Journal of Latinx Psychology, 10(3), 241–252. Link

Conclusion:

Dr. Beverlin Rosario-Williams is highly suitable for the Research for Young Scientist Award due to her extensive clinical and research training, significant contributions to peer-reviewed literature, and commitment to evidence-based practices. Her background in addressing critical mental health issues, coupled with her dedication to culturally competent care, positions her as a promising candidate for this award. With continued development in research leadership and public engagement, she is likely to make even more significant contributions to the field of psychology.

Dikun Hu | Psychophysiological Computing | Best Researcher Award

Dr. Dikun Hu | Psychophysiological Computing | Best Researcher Award

Student | Institute for Beijing University of Posts and Telecommunications (BUPT) | China

Short Biography 🌟

Diku Hu, a dedicated researcher and academic, is a prominent figure in the field of Information and Communication Engineering. Born on September 29, 1992, in China, Diku Hu has made significant strides in the study of biomedical signal processing and psychophysiological computing. Currently pursuing his PhD at Beijing University of Posts and Telecommunications (BUPT), Hu’s research focuses on innovative algorithms for sleep health monitoring using piezoelectric ceramic sensor arrays. His work is not only advancing the boundaries of health data analysis but also contributing to the broader understanding of multi-source physiological data integration. With a background that spans across undergraduate, master’s, and doctoral studies, Hu has consistently demonstrated his commitment to enhancing healthcare technologies through rigorous research and academic excellence. For more information.

Profile

ORCID

Education 🎓

Diku Hu’s educational journey reflects a strong commitment to advancing knowledge in the field of Information and Communication Engineering. He embarked on his doctoral studies at Beijing University of Posts and Telecommunications (BUPT) in September 2020, focusing on the signal processing and analysis methods of health data in the biomedical domain. His research emphasizes the development of novel algorithms for sleep health monitoring using piezoelectric ceramic sensor arrays, marking a significant contribution to the field. Prior to his PhD, Hu completed his Master’s degree at BUPT from September 2017 to June 2020, where he explored intelligent sleep staging methods based on BCG signals from micro-motion mattresses. His academic foundation was further established during his undergraduate studies at XiDian University (XDU) from September 2011 to June 2015, where he pursued a major in Information and Communication Engineering. This comprehensive educational background has equipped Hu with the theoretical knowledge and practical skills essential for his research and professional endeavors.

Work Experience 💼

Diku Hu’s professional experience includes a notable role at the Hubei Unicom Operation and Maintenance Department, where he worked from September 2015 to March 2016. During this period, Hu was involved in various operational and maintenance tasks related to telecommunications. This experience provided him with practical insights into the challenges and intricacies of managing and maintaining communication infrastructure. It also offered him a valuable perspective on the application of engineering principles in real-world scenarios. This hands-on experience has been instrumental in shaping his research approach and understanding of the technological landscape, complementing his academic achievements and research interests.

Research Interest 🔬

Diku Hu’s research interests are deeply rooted in the intersection of biomedical signal processing and psychophysiological computing. His work is centered on the analysis and mining of multi-source physiological data to improve health monitoring systems. A significant focus of his research is on developing advanced algorithms for sleep health monitoring using piezoelectric ceramic sensors. This involves quantifying, fusing, and analyzing physiological data to enhance the accuracy and effectiveness of health monitoring technologies. Hu’s research also extends to psychophysiological computing, where he investigates the integration of physiological data to better understand and address health-related issues. His contributions in these areas are paving the way for innovations in health technology and improving the quality of life through enhanced data analysis techniques.

Awards 🏆

Diku Hu has been recognized for his outstanding academic performance with several prestigious awards. He received the First-Class Scholarship at Beijing University of Posts and Telecommunications (BUPT) for the academic year 2017/2018, acknowledging his exceptional achievements during his Master’s studies. Additionally, he was awarded the Second-Class Scholarship for the academic years 2019/2020 and 2020/2021, reflecting his continued excellence and dedication throughout his academic career. These scholarships are a testament to Hu’s commitment to his studies and his contributions to the field of Information and Communication Engineering.

Publications 📚

Diku Hu has made significant contributions to the academic community through his research publications. His notable works include:

  1. Research on Evaluation Norms of Human Health Status, China Medicine and Pharmacy, 2022, 12(20): 7-29. This paper explores evaluation norms for human health, contributing valuable insights into health status assessment.
  2. Cross Domain Based Deep Neural Network for Obstructive Sleep Apnea Detection via Piezoelectric Ceramic Sensor Array, SMC 2023. This research presents an advanced deep neural network approach for detecting obstructive sleep apnea using piezoelectric ceramic sensors.
  3. Smart Sleep Monitoring: Sparse Sensor-Based Spatiotemporal CNN for Sleep Posture Detection, Sensors, 2024, 24, 4833. The paper discusses a novel spatiotemporal convolutional network for detecting sleep posture using sparse sensors.
  4. STConvSleepNet: A Spatiotemporal Convolutional Network for Sleep Posture Detection, EMBC 2024. This publication introduces STConvSleepNet, a new network for sleep posture detection.
  5. Piezoelectric Ceramic Sensor Array Based Obstructive Sleep Apnea Event Detection, IEEE Journal of Biomedical and Health Informatics (submitted). This study focuses on detecting obstructive sleep apnea events using piezoelectric sensors.
  6. A Non-Iterative SGTM-based Cascade Structure with Nonlinear Input Extension for IoMT Data Analysis, IEEE Transactions on Neural Networks and Learning Systems (submitted). This paper presents a non-iterative cascade structure for analyzing IoMT data.