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Xuhong ZhangView profile

Assistant Professor

• Machine Learning
• Medical Image Analysis
• Natural Language Processing
• +5 more

Xuhong Zhang is an Assistant Professor in the Department of Computer Science at Indiana University Bloomington, affiliated with the Luddy School of Informatics. He participates in the Precision Health Initiative and the Data Science Program. His research focuses on computational methods for medical image analysis, NLP, network analysis, and Bayesian techniques for high-dimensional biological data. Previously, he held postdoctoral roles at the University of Colorado and a PhD from UC Irvine under Prof. Carter Butts. Education: PhD in EECS, University of California, Irvine (2011-2017) Postdoctoral Fellow, University of Colorado Anschutz Medical Campus (2017-2020) Research Interests: Develops machine learning models for medical imaging (e.g., tumor cell biomarker prediction), applies NLP to medical text mining, analyzes large-scale human behavior networks, and uses Bayesian methods for single-cell cytometry analysis. Prior work includes spatial network analysis and communication data spectral analysis. Teaching & Mentorship: Instructor for CSCI-B 659 (Medical Image Analysis) and CSCI-P 556 (Applied Machine Learning) Mentored hackathons at UCI and CSPH Labs & Collaborations: Part of the Networks, Computation and Social Dynamics (NCASD) lab at UCI and contributes to the Precision Health Initiative's interdisciplinary research.

Frimpomaa AmpawView profile

Professor

• Labor Market Economics
• Persistence and Retention in Higher Education
• Race and Gender in STEM Education
• +2 more

Dr. Frimpomaa (Frim) Ampaw is a Professor and Department Chair of the Department of Advanced Studies, Leadership, and Policy at Morgan State University . Her research focuses on higher education administration, with a particular emphasis on the experiences of students from low socioeconomic backgrounds and underrepresented minorities in college transitions, retention, and labor market outcomes. As a quantitative methodologist, she has extensively studied women and minorities in STEM education. B.A. in Economics and Computer Science, University of Ghana, Legon M.A. in Applied Economics, Northeastern University M.S. in Economics, University of North Carolina, Chapel Hill Ed.D. in Higher Education Administration, North Carolina University Dr. Ampaw’s research integrates Labor Market Economics , Higher Education Finance , and Race and Gender in STEM Education , analyzing systemic barriers and equity-focused interventions. Her work explores rural students’ college access, financial leadership in K-12, and equity in STEM pedagogy. Key publication trends span Education , STEM Education , and Economics , with subfields including Postsecondary Access , Diversity in STEM , Student Retention , and Academic Career Transitions . Her studies often employ quantitative frameworks to address equity gaps. Contact: Banneker Building #315J , Morgan State University; Phone: (443) 885-1908; Email: frimpomaa.ampaw@morgan.edu .

Jai-Young ChoiView profile

Professor

• International Economics
• Environmental Economics
• Health Economics
• +3 more

Jai-Young Choi is a Professor of Economics at Lamar University, holding a Ph.D. in Economics from the University of Oklahoma, an M.A. from the University of Kansas, and a B.A. from Yonsei University. His academic career includes invitations as a speaker at prominent international conferences such as the Chu Hai International Conference on International Economic Linkages and the Conference of the International Economics and Finance Society. His research spans interdisciplinary topics including international trade dynamics, environmental economics, and health economics, with a focus on integrating economic theory with public health challenges. Dr. Choi’s educational background includes degrees in economics from prestigious institutions, reflecting his deep commitment to the field. His research contributions are evident in over 40 peer-reviewed articles in SCI-indexed journals, covering themes from global economic policies to HIV treatment outcomes in Asia-Pacific regions. He actively participates in academic service, including peer review for over 20 SCI journals and conference presentations. His recent work highlights a blend of economic modeling and healthcare analysis, such as studying the economic impacts of pandemics, the implications of international outsourcing on welfare, and HIV treatment adherence in vulnerable populations. While his primary affiliation is in economics, his interdisciplinary publications reflect a commitment to addressing complex societal issues through multi-disciplinary approaches. Notably absent from the records are specific scientific awards or named grants, though his frequent conference invitations underscore his academic influence. Teaching responsibilities include Managerial Economics in Lamar’s online Master of Business Administration program, emphasizing practical applications of economic principles.

• Biostatistics
• Genetic Epidemiology
• Omics Data Analysis
• +7 more

Dr. Hui-Yi Lin is a Tenured Full Professor at Louisiana State University Health Sciences Center (LSUHSC) in the School of Public Health, Department of Biostatistics & Data Science. She also serves as Director of the Biostatistics & Bioinformatics Core at the Center for Translational Viral Oncology (CTVO) and Co-Director of the Data Analytical Unit at the LSUHSC-NO Comprehensive Alcohol-HIV/AIDS Research Center (CARC). Her research focuses on developing statistical methods for genetic studies and omics data analysis, particularly SNP interactions in complex diseases like prostate cancer. She has secured multiple grants as PI, including a Department of Defense grant for prostate cancer genetic risk scores and NIH grants on antioxidant associations with HPV infections and gene-gene interactions in cancer aggressiveness. Lin holds a PhD from Tulane University (2004) in Biostatistics, with prior degrees from the University of Michigan (MS, 2001) and National Taiwan University (MS in Biostatistics, 1996; BA in Health Behavior, 1994). She completed postdoctoral training at LSUHSC's Stanley S. Scott Cancer Center and School of Public Health (2004–2006). Her research spans prostate cancer genomics, viral oncology, and public health interventions. Recent work includes identifying SNP interactions in prostate cancer aggressiveness and analyzing alcohol-SNP interactions. She has published ~180 peer-reviewed papers in journals like Nature Genetics , Scientific Reports , and Cancers . Lin’s grants emphasize translational research: her current DoD grant (2023–2026) aims to develop miRNA-based polygenic risk scores. She collaborates with PRACTICAL Consortium and other multidisciplinary teams on projects like cytokine-alcohol interactions in HIV patients and racial disparities in prostate cancer. Her service roles include co-chairing APHA’s Genomics Forum and serving on LSUHSC’s School of Public Health curriculum committee. She mentors trainees in biostatistics and public health through LSUHSC’s graduate programs.

Ana-Maria CroicuView profile

Professor

• Optimal control
• Optimization
• Uncertainty quantification
• +9 more

Dr. Ana-Maria Croicu is a Professor of Mathematics and Graduate Faculty at Kennesaw State University (KSU), with a Courtesy Professor role at Florida State University's Department of Mathematics. She holds dual Ph.D.s in Applied Computational Mathematics and Statistics (Florida State University, 2005) and Mathematics (Babes-Bolyai University, Cluj-Napoca, 2001), along with degrees in Mathematics and Electrical Engineering from the Technical University of Cluj-Napoca. Her research focuses on optimal control, optimization, uncertainty quantification, and bioscience modeling, with notable contributions to aerodynamics and disease dynamics. She has secured over $1.2 million in NSF funding and led the NSF S-STEM Program supporting disadvantaged STEM students. Dr. Croicu has been recognized with prestigious awards, including the Cobb County Teacher of the Year and multiple teaching honors at KSU. Her academic roles include directing undergraduate research, organizing international conferences, and serving as a Visiting Scientist at NASA Ames Research Center. Education includes advanced training in Romania and the U.S., spanning theoretical mathematics, applied and computational mathematics, statistics, and electrical engineering. She has mentored numerous students across PhD, MS, and undergraduate levels, contributing to research in areas like HIV infection modeling and anthrax disease control. Her work bridges computational methods with real-world applications, emphasizing interdisciplinary collaboration. Key research areas include mathematical modeling of infectious diseases (e.g., Ebola, HIV, anthrax) and robust optimization in engineering contexts. She has presented at major international conferences and co-organized workshops on optimal control and numerical simulations. Her teaching excellence spans online and traditional formats, reflecting her commitment to innovative education.

Laura PittiglioView profile

Associate Professor

• HIV/AIDS Research
• Health Disparities
• Nursing Education
• +4 more

Dr. Laura Pittiglio serves as an Associate Professor at Oakland University's School of Nursing, where she has been a faculty member since 1999. Her office is located in Human Health Building, Room 3039, and she can be reached at pittigli@oakland.edu. As a certified HIV Test Counselor, she implemented a campus-wide free HIV and syphilis screening program. Education PhD in Nursing, Wayne State University MSN in Adult Primary Care, Wayne State University BSN, Wayne State University Research Focus Dr. Pittiglio's work centers on HIV/AIDS disparities among African American women, examining coping mechanisms of HIV-positive mothers and sexual risk behaviors in adolescent/young adult females. Her research integrates behavioral psychology concepts like learned helplessness with public health interventions. Concurrently, she pioneers simulation-based nursing education through the VI-MED 3D virtual hospital system, investigating how technology enhances clinical competency and medication safety. Publication Trends Her 15-year publication trajectory reveals dual research streams: HIV/AIDS health disparities (60% of work) focusing on African American women's vulnerability, and simulation-based education (40%) targeting nursing student outcomes. Recent publications emphasize learned helplessness frameworks in sexual risk behaviors, while earlier work established her simulation methodology. Both strands address systemic healthcare inequities through behavioral and educational lenses, with consistent NIH/NLN-aligned methodology. Scientific Awards No scientific awards were documented in the provided materials. Grants and Mentoring Co-investigator on Blue Cross Blue Shield of Michigan grant: "Reducing HIV/AIDS in Michigan African American Young Adult Women" Developed campus HIV/syphilis screening program through community partnerships Mentored students through simulation research projects and HIV prevention initiatives Research Infrastructure Co-developed the VI-MED (Virtual Hospital Environment for Medication Education and Delivery) simulation platform with interdisciplinary teams including Fatma Mili (Computer Science) and Mary Harris (Nursing). This 3D virtual hospital system enables high-fidelity medication administration training and has been presented at national conferences including IMSH and NLN Technology Summits.

Mark ColleyView profile

Researcher

• Automated Vehicles
• Human-Computer Interaction (HCI)
• Accessibility in Technology
• +4 more

Dr. Mark Colley is a former Researcher at the University of Ulm's Department of Media Informatics, affiliated with the HCI group. He completed his PhD in 2024 on trust calibration in automated vehicles and holds an M.Sc. in Computer Science (2018) and B.Eng. in Information Technology (2015). His work focuses on automated mobility, accessibility, and computational methods. Colley contributed to projects like Intuitiver (Baden-Württemberg's Smart Mobility initiative) and SituWare, addressing challenges in driver-vehicle interaction and automated vehicle communication. He has been actively involved in reviewing for top conferences (e.g., CHI, AutoUI) and organizing events, earning multiple awards for his reviews. His research emphasizes inclusive design, such as aiding visually impaired pedestrians and improving external communication systems for autonomous vehicles. Education: M.Sc. Computer Science (Ulm University, 2018); B.Eng. Information Technology (Duale Hochschule Baden-Württemberg, 2015). Research Interests: Automated vehicle communication, accessibility in AVs, human-AV interaction, augmented reality interfaces, and large-scale mobility effects. His work spans safety, user trust, and scalable solutions for mixed traffic scenarios. Grants & Projects: Intuitiver (Baden-Württemberg), SituWare, SEMULIN, Towards Inclusive External Communication, and UAM-SUMO. He also organizes conferences like AutoUI and CHI, contributing to the academic community through review committees and workshops. Labs/Teams: Part of the HCI group at Ulm University, collaborating with industry partners like Mercedes-Benz, Elektrobit, and AVL.

JOSE MANUEL COTOS YAÑEZView profile

Professor

• Computer Graphics
• Data Engineering
• Remote Sensing
• +7 more

Jose Manuel Cotos Yañez is a Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing within the Faculty of Physics. He holds a PhD from the same institution, completed in 1994 with a thesis focusing on oceanic structure dynamics for fisheries applications using remote sensing and knowledge engineering. His research is centered in the COGRADE (Computer Graphics and Data Engineering) group, with past involvement in the LABSIS (Systems Laboratory) . Research interests include computer graphics, data engineering, spatial data integration, remote sensing applications in oceanography and environmental monitoring, and the development of geospatial technologies. Notable work involves oil spill detection via SAR imagery, geospatial data frameworks (e.g., GeoDADIS, SODA), and educational technology tools like gesture-based math learning and augmented reality for archaeological education. Publications span topics from machine learning-driven environmental monitoring to GIS systems and distributed database optimization. He has contributed to projects such as TRAFAIR (air quality data systems) and INOVA (web technologies for consulting frameworks). His work often integrates AI techniques with geospatial and oceanographic data analysis.

• HIV/AIDS Research
• Epidemiology
• Public Health
• +3 more

Anna Hotton is a Research Professor in the Department of Medicine-Infectious Diseases at the University of Chicago. Her work focuses on HIV/AIDS epidemiology, public health interventions targeting marginalized populations, and agent-based modeling of infectious disease dynamics. She has collaborated extensively on studies addressing health disparities among Black sexual and gender minorities, transgender communities, and individuals involved in the criminal justice system. Her research integrates socio-structural factors, behavioral science, and computational modeling to address HIV transmission, substance use, and healthcare access challenges. Key areas of investigation include: Impact of criminal justice involvement on HIV care engagement Effectiveness of PrEP uptake in high-risk populations Modeling post-incarceration healthcare interventions Racial/ethnic disparities in HIV transmission Recent publications highlight her contributions to: Agent-based models incorporating social determinants of health COVID-19 transmission dynamics in urban settings Policy analysis around opioid-related stigma and vaccine hesitancy Dr. Hotton has co-authored over 100 peer-reviewed articles, with frequent collaboration on NIH-funded studies addressing health inequities. Her work often involves community-based participatory research methods to ensure interventions are culturally tailored and contextually appropriate.

• Japanese Language Education
• E-Learning Systems
• Technology-Enhanced Language Learning
• +3 more

Alessandro Mantelli serves as an Adjunct Professor at the Department of Asian and North African Studies, Ca' Foscari University of Venice. He specializes in Japanese language education with a focus on integrating technology into pedagogical practices. His research emphasizes sustainable e-learning systems, virtual reality applications, and digital tools for language acquisition. Mantelli teaches Japanese language courses at both undergraduate and postgraduate levels, including 'Lingua Giapponese' modules and 'Informatica (Giappone)' for specialized programs. Key contributions include the development of the JALEA e-learning platform, the Kanji Game application, and VR-based language learning tools. His work on the Bunparser system and the ITADICT dictionary project highlights expertise in computational linguistics and educational software. Recent publications address translation pedagogy, sustainable curriculum design, and advanced kanji learning strategies. Teaching responsibilities span multiple academic years across language proficiency courses, with a focus on structuring authentic learning experiences through technology. His research bridges language education theory with practical software development, aiming to enhance accessibility and engagement in Japanese language studies.

Christopher JamesView profile

Professor

• Biomedical Engineering
• Neural Engineering
• Brain-Computer Interfaces
• +3 more

Professor Christopher James is Chair of Biomedical Engineering at the University of Warwick's School of Engineering, leading the Biomedical Engineering Institute. He holds roles as Editor-in-Chief of IET Healthcare Technology Letters and chairs IEEE UKRI Sections. With over 160 publications, his research focuses on neural engineering, BCI systems, and healthcare technology innovation. Educated at the University of Malta (B.Elec.Eng., 1992) and the University of Canterbury (Ph.D., 1997), he has held positions at Montreal Neurological Institute, Aston University, and the University of Southampton. His work emphasizes low-cost BCI solutions for locked-in syndrome patients and integrates wearable technologies for health monitoring. Key awards include the IET Sir Monty Finniston Medal (2013). He leads projects like the £2.4M AART-BC EPSRC grant (2015–2018), exploring assistive technology beyond clinical settings. His grants span biomedical signal processing, smart environments, and mental health monitoring through activity tracking. Prof James organizes the IEEE EMBS student conference series (PGBIOMED) and advises on IET healthcare initiatives. His work bridges engineering and medicine, advancing technologies for independent living and clinical care.

Sagnik MazumdarView profile

Lecturer

• Thermofluid Modeling
• Environmental Engineering
• Energy Systems
• +5 more

Sagnik Mazumdar is a Lecturer in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). He holds a Ph.D. from Purdue University and undergraduate degrees from the Indian Institute of Technology (IIT) in Kharagpur, India. His expertise spans thermofluid modeling, environmental engineering, and energy systems, with a focus on HVAC-R systems and computational fluid dynamics (CFD). Education: Ph.D. in Mechanical Engineering, Purdue University M.Sc. in Mechanical Engineering, IIT Kharagpur B.Tech (Honors) in Mechanical Engineering, IIT Kharagpur Research Interests: Mazumdar’s work addresses challenges in thermal management, environmental fluid mechanics, and energy systems. Key areas include: Supercritical CO₂ flow in microchannels Airborne contaminant transport in enclosed spaces (e.g., aircraft cabins) Thermal hydraulics in nuclear reactors CFD modeling for HVAC and energy efficiency His research has been funded by agencies like the Federal Aviation Administration (FAA), Boeing, and the U.S. Department of Energy. Publications Trends: Recent work emphasizes supercritical fluid behavior in microscale systems (2023–2024) and CFD-driven solutions for contaminant control in confined spaces (2010s). Earlier contributions include compressor-driven metal hydride cooling systems (2005–2006). Awards: ASHRAE Grant-in-Aid Award Ross Doctoral Assistantship (Purdue University) Teaching & Advising: Mazumdar teaches courses in heat transfer, fluid mechanics, and energy systems at UCF. He has advised graduate thesis committees and developed innovative curricula for both undergraduate and graduate students. Lab & Collaborations: His research leverages advanced CFD tools and experimental setups, collaborating with industry partners like Boeing and organizations such as ASHRAE and the American Society of Mechanical Engineers (ASME).

Recai YucelView profile

Professor

• Missing Data Analysis
• Biostatistics
• Public Health Research
• +5 more

Recai Yucel is a Professor of Biostatistics and Assistant Director of Biostatistics at Temple University’s College of Public Health, Department of Epidemiology and Biostatistics. Previously, he served as Chair of the Department of Epidemiology and Biostatistics at SUNY Albany. He holds a PhD from Penn State University and completed postdoctoral training at Harvard Medical School. His research focuses on missing data methodologies, measurement error, computational algorithms, and their applications in health services research, social sciences, and public health. He has published over 75 articles and secured grants from NIH, CDC, and NSF. Education: PhD in Statistics, Penn State University MA in Statistics, Penn State University BS in Statistics, Gazi University (Ankara, Turkey) Research Interests: Dr. Yucel develops statistical methods to address missing data challenges in complex surveys and health studies. His work emphasizes computational efficiency, hierarchical modeling, and Bayesian approaches. Substantive areas include environmental health, infectious diseases, chronic illness management, and health disparities. Recent projects explore biomarkers for Alzheimer’s disease in HIV-positive women and epigenetic changes post-COVID-19. Grants & Awards: NIH, CDC, and NSF grants (multiple roles as PI/Co-PI) Fellowship from ASA and NCHS for missing data research Labs/Teams: Leads statistical methodology development in Temple’s Biostatistics Unit, collaborating with researchers on projects ranging from maternal pesticide exposure studies to ICU patient outcomes analysis.

• Special Education
• Behavioral Interventions
• Culturally Responsive Teaching
• +3 more

Mary Rose Sallese is an Assistant Professor in the Curriculum Instruction department at the University of Alabama at Birmingham's School of Education. She joined the faculty in August 2021 following completion of her PhD in Educational Psychology from Texas A&M University. Her academic appointment is permanent/tenure-track status as indicated by the '(P)' designation in her faculty listing. Dr. Sallese's research focuses on culturally responsive interventions for students with emotional and behavioral disorders, particularly Black learners in underserved communities. Her work examines the efficacy of culturally adapted social-emotional learning programs, behavioral support systems, and teacher preparation frameworks. She employs primarily single-case experimental designs and systematic review methodologies in her research. Her scholarly output demonstrates impressive productivity since her faculty appointment, with numerous peer-reviewed publications in high-impact special education journals including School Psychology, Behavioral Disorders, and Journal of Positive Behavior Interventions. Her research trends show a consistent focus on addressing racial disparities in special education services and developing culturally responsive behavioral interventions. Alabama Multi-Tier System of Supports (AL-MTSS) grant from Alabama State Department of Education (2024) Preventing School Violence: STOP School Violence Program (Alabama PEACE Project) (2023) ALABAMA AWARE FY 22 grant (2021) Dr. Sallese actively mentors graduate students through committee service and teaches multiple graduate-level courses including Instructional Methods, Positive Behavioral Supports, and IEP Programming. Her teaching portfolio reflects her research interests in special education, behavior management, and curriculum development for exceptional learners.

Muneer AbbasView profile

Associate Professor

• Immunogenetics
• Cancer Research
• Health Disparities
• +4 more

Muneer Abbas is an Associate Professor of Microbiology at Howard University's College of Medicine and a member of the Molecular Genetics Research Group at the Howard University Cancer Center/National Human Genome Center (NHGC). He holds additional roles as the Director of the NHGC Sickle Cell Disease Center Biorepository and the Molecular Genetics Director. His research focuses on immunogenetics, cancer disparities, and quantum biology applications in medicine. Abbas graduated with a Ph.D. in Microbiology/Immunogenetics from Howard University in 2008. Education: Ph.D., Microbiology/Immunogenetics, Howard University, 2008 M.S., Biology/Immunoparasitology, Yarmouk University, 1996 B.S., Biology, Yarmouk University, 1993 Research Interests: Abbas investigates polymorphisms in immune response genes, particularly their role in health disparities. His work spans immunogenetics, quantum phenomena in biological systems, sickle cell disease biorepositories, and the microbiome's role in cancer. Collaborations include quantum sensing projects with the Quantum Biology Lab and studies on serotonin receptor genes' links to HIV/AIDS and immune function. Grants & Funding: Co-PI on an NSF-funded quantum sensing initiative and NIH grants addressing violence exposure, HIV risks in African Americans, and prostate cancer. He secured funding for a pilot study on serotonin receptor 5-HT2A and immune markers. Awards: Special Unit Award (2018) Howard University Bridge Fund/Pilot Study Award (2015–2016) CRCHD Scholar-in-Training Award (2016) Labs/Teams: Directs the NHGC Biorepository and collaborates with the Quantum Biology Lab, focusing on quantum technologies for cancer research and quantum probe applications in biology.