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Julia KroekerView profile

Professor

• Early Childhood Education
• Play-Based Learning
• Mixed Methods Research
• +3 more

Dr. Julia Kroeker is a Professor of Early Childhood Education at Florida Southwestern State College (FSSC), located in Lee, Florida. She holds a Ph.D. in Early Childhood Education from the University of Nebraska at Lincoln and has nine years of teaching experience in preschool and kindergarten. Her research focuses on play-based learning, mixed methods research, and preschool program design. She has published in the Universal Journal of Educational Research and presented at conferences like NAAEE and TASP. Education: Ph.D. in Early Childhood Education, University of Nebraska at Lincoln (2014) M.S. in Early Childhood Education, University of Nebraska-Omaha (2006) B.A. in Elementary Education with Early Childhood Endorsement, Hastings College (2003) Research Interests: Investigates the role of indoor and outdoor play in early childhood education. Advocates for play as a critical component of preschool curricula. Utilizes mixed methods to analyze child behavior and program effectiveness. Community Engagement: Organizes an annual Pop-Up Adventure Play Day in collaboration with FSSC’s School of Education and Early Childhood students.

Catherine KontzView profile

Professor

• Composition
• Contemporary Music
• Musical Theatricality
• +4 more

Catherine Kontz (born 1976) is a London-based composer and Professor of Composition at Royal College of Music, London. She also serves as artistic director of the rainy days festival, the contemporary music festival at Philharmonie Luxembourg. Her creative work explores nonlinear form, visual/spatial elements, and musical theatricality. Kontz develops innovative compositions that integrate spatial elements and theatrical components, creating unique experiences for performers and audiences. Her work often involves interdisciplinary collaborations, such as her sound walk projects with S.L. Grange that follow rivers through urban environments. Analysis of her recent compositions reveals a consistent focus on spatial and theatrical elements in music. Her works frequently incorporate site-specific performance elements, extended duration formats, and multimedia components. Kontz demonstrates particular expertise in creating large-scale works that engage with specific geographical locations and cultural contexts, as evidenced by her European Capital of Culture commission. As artistic director of the rainy days festival, Kontz plays a significant role in shaping contemporary music programming in Luxembourg, supporting innovative musical experiences that push traditional boundaries of performance. Her professional activities include extensive collaboration with international musicians and ensembles such as ensemble recherche, Exaudi, Vertixe Sonora, and Lucilin, as well as notable soloists including Monica Germino, Cathy Krier, and Rhodri Davies. These collaborations span across Europe and demonstrate her significant presence in the contemporary music scene.

Mark LawfordView profile

Professor

• Software engineering
• Safety critical systems
• Digital & Smart Systems
• +3 more

Mark Lawford is a Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. His expertise spans software engineering, safety critical systems, and model-based development, with a focus on digital & smart systems and transportation research clusters. Contact: Email: lawford@mcmaster.ca Website: www.cas.mcmaster.ca/~lawford His research explores automotive systems , formal verification , and model-driven engineering , particularly addressing challenges in automotive electrification , centralized E/E architectures , and safety assurance cases . Recent publications emphasize test case generation , change impact analysis , and model transformation tools for Simulink, SysML, and AUTOSAR. Key trends in his work include autonomous vehicle safety , real-time control systems , and integration of formal methods with industrial practices across automotive, biomedical, and nuclear domains.

Reem AbrahamView profile

Professor

• Medical Physiology
• Medical Education
• Curriculum Development
• +3 more

Dr. Reem Abraham is a Professor at the School of Medicine, Saba University, specializing in Pathophysiology. With over two decades of experience in medical education across India, Saudi Arabia, and the Caribbean, she focuses on teaching Medical Physiology to students in various programs, including USMLE and MBBS. Her research emphasizes Medical Physiology and Medical Education, with a particular interest in active learning strategies and curriculum design. Dr. Abraham has presented research at prestigious conferences like the American Physiological Society (APS) and Association for Medical Education in Europe (AMEE), earning numerous awards including the International Endeavour Executive Fellowship (2018) and the APS Teaching Career Enhancement Award (2014). Her publications highlight innovations in curriculum mapping, student project mentorship, and assessment methodologies. She has also been recognized for her teaching excellence by institutions like AUSOMA (American University School of Medicine Aruba) with multiple 'Best Teacher' awards. Dr. Abraham’s work integrates clinical orientation with educational research, aiming to enhance student learning outcomes through evidence-based strategies. She has contributed to faculty development programs and workshops, promoting global standards in medical education.

Diego Sevilla RuizView profile

Associate Professor

• Software Engineering
• Database Systems
• NoSQL Technologies
• +3 more

Diego Sevilla Ruiz is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Computer Engineering and Technology, where he leads initiatives in Software Engineering research. He completed his PhD in 2008 on distributed component models (CORBA-LC). His research focuses on database technologies, particularly schema evolution in NoSQL and relational databases, model-driven engineering approaches, and unified metamodeling. Recent work develops Skiql (a schema query language), Athena (schema definition language), and methodologies for referential integrity in graph databases. His publications advance database abstraction techniques, schema migration frameworks, and automated tools for database management and modernization.

Helen HuangView profile

Associate Professor

• Biomechanics
• Neuroengineering
• Locomotion
• +3 more

Helen Huang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF). She directs the Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Laboratory, where her team—comprising students from biomedical, mechanical, and electrical engineering—investigates motor adaptation, gait neuromechanics, and rehabilitation technologies. Her lab focuses on brain dynamics during locomotion, robotic rehabilitation devices, and advanced EEG/EMG methodologies for young and older adults. Education: Huang holds a B.S. in Materials Science and Engineering from MIT and M.S./Ph.D. in Biomedical Engineering from the University of Michigan. Prior to academia, she worked as a materials engineer at Michelin and completed postdoctoral training at the University of Colorado and University of Michigan. Research Focus: Her interdisciplinary work bridges biomechanics, neuroengineering, and rehabilitation science. Key areas include: Motor adaptation and brain dynamics during gait perturbations Robotic interventions for balance and fall prevention in aging populations Novel electrophysiological methods (EEG/EMG) for movement analysis Neuromechanical factors in interlimb coordination and stability Publication Trends: Her recent articles (2018-2024) demonstrate evolving emphasis on EEG artifact mitigation, gait perturbation responses in aging, wearable sensor development, and equity in neurodiagnostics. Methodologically, they integrate biomechanical modeling, clinical psychophysiology, and rehabilitation technology validation. Awards & Honors: 2021 UCF Reach for the Stars & Research Incentive Award 2020 UCF Luminary Award and ASB President’s Award NSF CAREER Award for EEG artifact research Invitation to U.S. National Academy of Engineering symposium (2019) NIH grantsmanship fellowship (2017) Grants & Leadership: NIH/NIA R25 multi-PI for diversity in aging research (2023-2028) NIH R01 PI for gait perturbation studies (2017-2022) Leads BRaIN Lab with cross-disciplinary student teams Teaching: Courses include Advanced Biomechanics (BME 6215), Engineering Biomechanics (BME 3211), Bioinstrumentation (BME 6500), and special topics in biomedical engineering.

Noelia LanderView profile

Assistant Professor

• Molecular Parasitology
• Trypanosoma cruzi
• Chagas Disease
• +9 more

Noelia Lander is an Assistant Professor at the University of Cincinnati's Department of Biological Sciences. Her research focuses on signal transduction pathways in Trypanosoma cruzi , the parasite responsible for Chagas disease. She pioneered CRISPR/Cas9 genome editing methods in this organism, enabling studies of calcium and cAMP signaling pathways critical for parasite survival and pathogenesis. Education: B.S. (Biology, Universidad Simón Bolívar, 2002), M.S. (Biological Sciences, Universidad Simón Bolívar, 2008), Ph.D. (Cellular Biology, University of Georgia, 2013). Postdoctoral training included roles at the University of Georgia and State University of Campinas. Current lab website: landerlab.uc.edu . Research interests include environmental sensing mechanisms, parasite differentiation, and drug target validation. Key contributions include identifying roles for calcium and cAMP signaling in T. cruzi 's life cycle transitions and host interactions. Recent work explores compartmentalized cAMP signals and mitochondrial Ca²⁺ regulation. Notable grants include NIH/NIAID funding for CRISPR screening of essential genes (R21AI140421, K99/R00AI137322) and a 2020 UGA Postdoctoral Research Award. Her lab's CRISPR tools have advanced studies of kinetoplastid parasites. Key achievements: Developed first CRISPR-based knockdown method for T. cruzi , discovered critical roles for mitochondrial calcium uniporter components, and identified CARP3 protein's role in cAMP signaling pathways.

Kevin OhView profile

Professor

• Special Education
• Teacher Training
• Assistive Technology
• +2 more

Kevin Oh serves as Professor and Department Chair at the University of San Francisco, where he maintains a full-time faculty position focused on innovative educational practices. His work bridges special education, teacher training, and emerging technologies to create inclusive learning environments that address diverse student needs through evidence-based methodologies. Dr. Oh earned his PhD in Special Education from the University of Virginia, Charlottesville, establishing the foundation for his research in disability-inclusive pedagogy and teacher preparation. His academic journey reflects a commitment to advancing educational equity through technological innovation and cross-cultural collaboration. His research program centers on collaborative teaching frameworks, assistive technology integration, and virtual reality applications in teacher training. Notably, he pioneers the use of three-dimensional immersive environments like Second Life to develop culturally responsive teaching practices and global classroom experiences, with particular emphasis on special education contexts and co-teaching models. Analysis of his publication trajectory reveals a sustained focus on virtual worlds in education since 2007, evolving from foundational technology adoption studies to sophisticated investigations of synchronous discussion facilitation and international collaboration. His work consistently addresses the intersection of teacher preparation, special education needs, and digital innovation. Dr. Oh's scientific recognition includes: Fulbright Specialist Project Award (2020) for Internationalization, Culturally Responsive, and Digitalization initiatives at the University of Applied Sciences Northwestern Switzerland USF Faculty Team Innovation Award (2013) for Creating a global classroom using virtual environments While specific details about his graduate student advising and research grants were not provided in available materials, his leadership as Department Chair and extensive publication record suggest active mentorship within his academic unit. His work with international institutions through the Fulbright program indicates significant collaborative research networks. No dedicated laboratories or specialized research teams were mentioned in the source materials, though his virtual environment research implies collaboration with educational technology specialists and international partner institutions.

Erick S. VasquezView profile

Associate Professor

• Nanocomposite Materials
• Magnetic Nanoparticles
• Water Purification
• +7 more

Erick S. Vasquez is an Associate Professor in the Department of Chemical and Materials Engineering at the University of Dayton’s School of Engineering. His research focuses on designing advanced nanocomposite materials, particularly magnetic nanoparticles, for applications in water purification, drug delivery, and biological detection. He actively collaborates with researchers nationwide and internationally, emphasizing interdisciplinary innovation. Dr. Vasquez holds a Ph.D. in Chemical Engineering from Mississippi State University (2013), an M.S. from Clemson University (2009), and a B.S. from Universidad Centroamericana José Simeón Cañas (2007). He is a Senior Member of the American Institute of Chemical Engineers (AIChE) and a member of multiple professional organizations, including the American Chemical Society (ACS) and Sigma Xi. His research interests span nanomaterials synthesis, biomaterials interactions, and engineering education. Notable work includes developing biocompatible magnetic nanoparticles for medical applications and optimizing team-based learning in engineering labs. His studies on optothermal microbubble manufacturing and plasmonic nanostructures have advanced chemical sensing technologies. Dr. Vasquez teaches courses such as Chemical Engineering Unit Operations Laboratory and Transport Phenomena, integrating active learning and entrepreneurial mindset development. He has received recognition for his research, including a 2019 PCCP Hot Article and a 2016 Journal of Nanobiotechnology featured contribution. He has secured grants for projects like assessing global engineering competence through international collaborations and advancing ethanol extraction methods using nanocomposites. His work bridges fundamental science with practical applications, emphasizing sustainability and biomedical innovation.

Ryan T. WhiteView profile

Associate Professor

• Deep Learning
• Machine Learning
• Artificial Intelligence
• +11 more

Ryan T. White is an Associate Professor at Florida Institute of Technology in the Department of Mathematics and Systems Engineering within the College of Engineering and Science. He serves as Director of the NEural TransmissionS (NETS) Lab, focusing on deep learning, computer vision, and data science. He is also an Affiliate Faculty member in Electrical Engineering and Computer Science. Ph.D. in Applied Mathematics (2015) from Florida Tech His research bridges deep learning and computer vision with applications in autonomous satellite operations , physics-informed neural networks for biomedical and geoscience problems, and NLP in aerospace domains. Projects include real-time edge computing , stochastic process analysis , and generative AI for synthetic data. The NETS Lab he directs has produced 15+ recent publications in conferences like IEEE Aerospace, AIAA SCITECH, and AAS/AIAA, with funding from the U.S. Space Force, Air Force Research Lab, and NSF. His teaching spans graduate/undergraduate courses in deep learning , machine learning , probability , and honors calculus . Current advisees include Ph.D. candidates and M.S. students working on topics like 3D object detection , information-theoretic neural analysis , and geophysical signal processing . The lab’s scientific contributions include real-time satellite feature detection , physics-guided neural networks for blood flow modeling, and entropy-based visual explanations for AI interpretability. Collaborations span Georgia Tech , Mulitscale Cardiovascular Fluids Laboratory , and Engage-AI for global development projects analyzing UNDP Sustainable Development Goals.

Mark LichtView profile

Associate Professor

• Cover Crop Management
• Cropping System Management
• Crop Production
• +4 more

Mark Licht is an Associate Professor and Extension Cropping Systems Specialist in the Department of Agronomy at Iowa State University. His program integrates extension, research, and teaching to optimize Iowa cropping systems for productivity, profitability, and environmental sustainability. Key focus areas include cover crop management, corn/soybean systems, nutrient management, and soil health. He leads projects addressing cereal rye cover crop BMPs, nitrogen rate optimization, and cropping system adaptation to climate change. Education details are not explicitly listed but his roles imply advanced training in agronomy. Research interests emphasize holistic cropping systems, with recent work on corn yield drag mitigation, soybean nitrogen fixation, and precision agriculture tools like the Field Operations Visualizer. He collaborates with graduate students like Ally Larson and Natan Seraglio, and oversees programs such as the Forecast and Assessment of Cropping sysTemS (FACTS). Publications (2023-2025) reflect trends in cover crop impacts, nutrient dynamics, and climate adaptation. His extension efforts include Iowa Learning Farms outreach and development of farmer-friendly soil health assessment methods. Grants and projects focus on scaling optimal practices from plot to watershed levels. Labs/teams involved include the Iowa State Agronomy Extension team and interdepartmental programs like the Seed Technology and Business Management.

• Mental Health
• Low and Middle Income Countries
• Primary Health Care
• +7 more

Charlotte Hanlon is a Professor and Chair of Global Mental Health at the University of Edinburgh, based in the Deanery of Clinical Sciences within the Centre for Clinical Brain Sciences. Her work focuses on mental health challenges in low- and middle-income countries, primary health care, and innovative interventions for marginalized populations such as homeless individuals with severe mental illness. She leads several large-scale research initiatives addressing global mental health disparities. Her research interests include: Mental Health Systems in Low- and Middle-Income Countries (LMICs) Primary Health Care Integration for Mental Disorders Psychosocial Impacts of Environmental Insecurity (e.g., Water, Sanitation) Health System Strengthening and Policy Homelessness and Severe Mental Illness in Africa Cross-Cultural Adaptation of Mental Health Interventions Charlotte leads key research projects including: CopilotS: Developing culturally adapted interventions for mental health care in Somaliland CHIME: Using musical engagement to improve maternal mental health HOPE: Addressing homelessness and mental health in Ethiopia, Ghana, and Kenya SCOPE: Investigating contexts of psychosis onset in Ethiopia to improve outcomes Her research has explored topics ranging from the economic impacts of mental health care access in Ethiopia to psychosocial challenges faced by women in informal settlements. She collaborates with global networks to advance mental health equity through policy and practice.

Frédéric BERTRANDView profile

Professor

• Statistical Modelling
• Statistical Learning
• Artificial Intelligence
• +5 more

Frédéric BERTRAND is a Full Professor at the Université de Technologie de Troyes (UTT), part of the Computer Laboratory and Digital Society (LIST3N). He previously held positions at the Université de Strasbourg and Institut de Recherche Mathématique Avancée (IRMA). His academic qualifications include a habilitation to direct research (HDR) from the Université de Strasbourg, a Ph.D. from Université Louis Pasteur, and membership in the École Normale Supérieure de Lyon. He specializes in statistical modeling, machine learning, and artificial intelligence, with applications in bioinformatics, biostatistics, and medical data analysis. Roles and Affiliations: Full Professor at UTT Director of the Mastère Spécialisé in Big Data Analytical and Decisional Aspects Responsible for the OSS ED361 SPI specialty Responsible for the PEA Impact program Member of the LIST3N laboratory Research Interests: His work focuses on statistical and machine learning methods applied to complex systems, including bioinformatics, medical data analysis, and process mining. Key areas include Bayesian networks, partial least squares regression (PLS), variable selection algorithms, and handling missing data in large-scale datasets. He has developed multiple R packages, such as selectBoost , bootPLS , and Patterns , which are widely used in statistical modeling and data analysis. Publications and Contributions: He has authored/co-authored over 38 scientific articles, 14 books, and 14 R packages. His research emphasizes methodological advancements in statistics and their practical applications in biology, healthcare, and industry. Notable contributions include developing algorithms for high-dimensional data analysis and collaborative projects on cancer genomics and proteomics. Teaching: He teaches advanced courses in statistics, mathematics, and data analysis at the graduate and postgraduate levels, including modules on uncertainty analysis and complex systems at UTT and the Université de Strasbourg.

• Virology
• Structural Biology
• Molecular Biology
• +3 more

Brenda Hogue is a Professor in the School of Life Sciences and the Biodesign Center for Applied Structural Discovery at Arizona State University. Her research focuses on coronavirus assembly, viroporin function, and structural biology using advanced techniques like cryo-electron microscopy and X-ray free electron lasers (XFELs). She collaborates across disciplines to develop therapeutic targets and vaccines. Education: Postdoctoral Fellowship, UCLA School of Medicine (NIH NRSA, 1987–1989) PhD, University of Tennessee, Knoxville MEd, Duke University Research Interests: Coronavirus assembly mechanisms at intracellular membranes Role of viroporins in inflammation and viral release XFEL-based structural studies of viruses and proteins Her work bridges virology, structural biology, and engineering, with applications in antiviral drug design. Articles: Focus on structural analysis of viruses using XFELs, protein localization, and vaccine component development. Awards: 2014 ASU Devils’ Advocates Apple Polishing Faculty Recognition 2013 ASU Commission on the Status of Women Award 2013 Excellence in Diversity Nominee Grants/Advising: Leads NIH- and NSF-funded projects on viral structure, collaborates with engineers, and mentors students in virology and structural biology. Labs/Teams: Active in the Biodesign Center and XFEL facilities at SLAC and European XFEL.

Andrew RitenourView profile

Assistant Professor

• Semiconductor Devices
• Microelectronics
• Power Electronics
• +3 more

Andrew Ritenour is an Assistant Professor in the School of Engineering and Technology at Western Carolina University (WCU). He joined WCU in 2018 after a decade in industry, where he managed and developed innovative technologies in semiconductor devices, RF surface acoustic wave (SAW) filters, and flexible electronic displays. He holds 30 patents and has published in IEEE and AIP journals. Ritenour earned his Ph.D. and S.M. from MIT in Electrical Engineering (2007 and 1999) and a B.S.E.E. from the University of Virginia (1997). Education : Ph.D., Electrical Engineering, Massachusetts Institute of Technology (2007) S.M., Electrical Engineering, Massachusetts Institute of Technology (1999) B.S.E.E., Electrical Engineering, University of Virginia (1997) Research Interests : Ritenour focuses on smart structures, additive manufacturing for electronic devices, microelectronics (including SAW devices), and sustainable energy solutions. His work bridges academic research with industrial applications, emphasizing semiconductor device innovation and high-efficiency power electronics. Teaching & Outreach : He coordinates the senior engineering capstone program, fostering multidisciplinary projects with industry partners. His teaching emphasizes professional skills development and industrial collaboration. Labs/Teams : His research involves advanced semiconductor fabrication, power device design, and sustainable energy systems. Collaborations include developing GaN and SiC-based power devices for renewable energy applications.