Computerized Testing Professors and Supervisors in United States

Charles Seifertمشاهده پروفایل

استاد

Texas Tech University Health Sciences CenterUnited States

Charles Seifert serves as Professor, Senior Executive Associate Dean, and Regional Dean for Lubbock Programs at the Jerry H. Hodge School of Pharmacy, Texas Tech University Health Sciences Center, a position he has held since January 1998. His leadership spans academic administration and clinical pharmacy practice within the Pharmacy Practice department. Dr. Seifert's educational background includes: B.S. in Pharmacy from North Dakota State University (1982) Doctor of Pharmacy from the University of Texas at Austin (1984) ASHP Accredited Residency in Clinical Pharmacy from the University of Missouri–Kansas City (1985) His research integrates clinical practice with educational innovation across Pharmacy Practice, Clinical Pharmacy, and Interprofessional Education. Key focus areas include toxicology management (antihypertensive/opioid overdoses), infectious disease pharmacotherapy (Clostridium difficile, bacteremia in hemodialysis), oncology pharmacy (febrile neutropenia, stem cell transplantation), and predictive modeling for pharmacy education outcomes. His work consistently addresses real-world healthcare challenges in emergency, hospital, and ambulatory settings through evidence-based protocols and interprofessional collaboration. Analysis of his 2017-2022 publications reveals a strong translational research trajectory focused on practical healthcare solutions. Dominant themes include developing predictive tools for student success and patient outcomes, evaluating interprofessional care models for high-risk populations, and optimizing pharmacotherapy in specialized clinical contexts like hemodialysis and oncology. His work bridges academic research with direct clinical application, frequently appearing in high-impact pharmacy and medical journals. No scientific awards were listed in the provided information. Details regarding student advising and research grants were not provided in the available text. His research methodology emphasizes interprofessional team-based approaches within tertiary teaching health systems, particularly for patient navigation services, complex condition management (e.g., dizziness, febrile neutropenia), and system-level quality improvement initiatives.

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Vittorio Addonaمشاهده پروفایل

استاد

Macalester CollegeUnited States

Vittorio Addona is a Professor in the Department of Mathematics, Statistics, and Computer Science at Macalester College. He teaches across the Statistics curriculum including introductory modeling, probability, mathematical statistics, and an applied survival analysis course. He maintains regular office hours and serves on the Community and Global Health steering committee. His educational background includes: BS from McGill University (2000) Master's from McGill University (2002) PhD in Statistics from McGill University (2006) Professor Addona's research spans three primary domains: Survival analysis : Focusing on statistical methods for time-to-event data, particularly in medical studies, with expertise in analyzing survival data from prevalent cohort studies Sports statistics : Including research on adjusted plus-minus ratings in the NBA, relative age effects across multiple sports leagues, and quantifying performance impacts in baseball and football Election audits : Developing statistical procedures to verify computerized vote tallies and ensure election integrity His publication record shows consistent output across these domains, with recent work focusing on election verification methods and cross-sport age effect analyses. The publications demonstrate methodological innovation in statistical approaches applied to real-world problems across diverse fields. Professor Addona actively collaborates with undergraduate students on research projects and accompanies them to academic conferences. His teaching responsibilities include STAT 125-01: Epidemiology and multiple sections of STAT 155-01: Intro to Statistical Modeling. Personal background: Born and raised in Montreal, Quebec to Italian immigrant parents Fluent in French and Italian Married to Isadora (PhD in School Psychology from University of Minnesota) Two children: Fabian (10) and Lucia (8) Avid sports fan (Montreal Canadiens, NY Jets)

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Jinki Kimمشاهده پروفایل

استادیار

Georgia Southern UniversityUnited States

Jinki Kim serves as an Assistant Professor in the Department of Mechanical Engineering at Georgia Southern University, where he has been a faculty member since 2018. His research program bridges mechanical systems, materials science, and computational methods, with particular emphasis on experimental techniques for structural assessment and manufacturing processes. Professor Kim's academic credentials include a Ph.D. in Mechanical Engineering from the University of Michigan (2017), complemented by both M.S. and B.S. degrees in Mechanical and Aerospace Engineering from Seoul National University (2008 and 2006 respectively). His educational foundation supports his interdisciplinary research approach spanning mechanical systems and experimental dynamics. Research interests center on Smart Materials and Structures , Structural Health Monitoring , and Advanced Manufacturing , with specific expertise in video-based motion estimation, piezoelectric systems, and machine learning applications. His work demonstrates strong connections to piezoelectric engineering (81% fingerprint match) and structural health monitoring (51%), while contributing to UN Sustainable Development Goals in sustainable industrialization. Recent projects integrate deep learning with traditional engineering methods to solve practical problems in bioprinting and infrastructure assessment. Publication trends from 2023-2024 reveal significant focus on applying computational techniques to manufacturing and structural monitoring challenges. Five recent papers demonstrate consistent methodology using video-based vibration analysis combined with machine learning, particularly in bio-printing quality control and soil mechanics characterization. This work shows increasing interdisciplinary collaboration across mechanical, civil, and biomedical engineering domains. Professor Kim currently leads an active NSF grant ($500,000, 2023-2025) as Principal Investigator for bio-printed construct evaluation research. While specific student advising details aren't provided in the source material, his educational publication suggests active engagement in curriculum development for mechatronics and machine learning integration. His research group likely supports graduate students working on video-based monitoring systems and manufacturing applications. Though no formal lab name is specified, Professor Kim's research group focuses on experimental validation of structural systems using non-contact measurement techniques. The group's work combines mechanical testing with computational analysis, particularly in additive manufacturing quality assurance and structural health monitoring applications, utilizing video-based vibrometry as a core methodology.

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Steven A Castellonمشاهده پروفایل

دانشیار بالینی

University of California, Los AngelesUnited States

Steven A Castellon is a Clinical Associate Professor in the Department of Psychiatry and Biobehavioral Sciences at the University of California, Los Angeles (UCLA) School of Medicine. His research focuses on neuropsychological aspects of chronic medical conditions, particularly examining cognitive functioning in individuals with HIV/AIDS, breast cancer survivors experiencing cognitive changes, and patients with hepatitis C. His primary research interests include neuropsychological assessment, medication adherence in chronic illness, cognitive rehabilitation, neurocognitive effects of medical treatments, and the relationship between mental health and cognitive functioning in medical populations. Dr. Castellon has conducted extensive research on HIV-associated neurocognitive disorders, breast cancer-related cognitive impairment (often referred to as "chemobrain"), and the cognitive effects of hepatitis C infection and treatment. Analysis of his publication record shows a consistent focus on the intersection of medical conditions and cognitive functioning, with particular emphasis on how cognitive impairment affects treatment adherence and quality of life. His work spans multiple methodologies including longitudinal studies, clinical trials, and neuroimaging approaches. The majority of his publications examine how medical conditions and their treatments impact specific cognitive domains such as memory, attention, and executive functioning. Dr. Castellon has collaborated extensively with researchers at UCLA and other institutions, particularly working with Patricia Ganz, April Thames, Mark Ettenhofer, Andrew Levine, and Daniel Silverman. His work has been published in high-impact journals across multiple disciplines including neurology, oncology, psychiatry, and clinical psychology. In his clinical work, Dr. Castellon appears to focus on the neuropsychological aspects of medical conditions, particularly addressing cognitive complaints in patients undergoing medical treatments. His research has contributed significantly to understanding the cognitive effects of cancer treatments, HIV infection, and hepatitis C, and how these cognitive changes impact patients' daily functioning and treatment adherence.

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Franklin Millerمشاهده پروفایل

استاد مدعو

Judson UniversityUnited States

Franklin Miller serves as an Adjunct Professor at Judson University, leveraging a distinguished 35-year career spanning U.S. Air Force service and defense contracting. His military assignments included critical roles at Thule (Greenland), Buckley Air Force Base, and NASA White Sands, culminating in retirement as DSP Project Engineer in 2004 before transitioning to academia. His educational credentials feature: Ph.D. in Education, University of Denver (1984) M.Ed. in Educational Psychology, Wayne State University (1975) B.S. in Physics and Math, Otterbein University (1969) Miller's research integrates defense systems engineering with educational technology, specializing in software design for intelligence analysis and psychological testing. His expertise in machine language programming and Cold War missile warning doctrine demonstrates cross-disciplinary impact, particularly through Dual-Use doctrine frameworks that de-escalated nuclear tensions. While his seminal 1984 dissertation pioneered computerized psychological assessment, his career-defining contributions center on defense applications where software engineering directly influenced geopolitical outcomes. His publications emphasize practical implementations over theoretical exploration, with enduring relevance in national security systems design.

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