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Quan LeiView profile

Assistant Professor

• Visual Perception
• Human Factors Psychology
• Accessibility Design
• +5 more

Quan Lei is an Assistant Professor of Psychology at Wichita State University's Fairmount College of Liberal Arts and Sciences, affiliated with the Human Factors Psychology Program. His research focuses on visual perception, accessibility design for individuals with visual impairments, and the application of visual science principles to real-world environments. He directs the Vision and Accessibility (VISA) Lab, which explores both basic visual processing mechanisms and applied solutions for accessible design in transportation and architecture. Dr. Lei holds a Ph.D. in Psychology from Northeastern University (2015), followed by postdoctoral training at the University of Minnesota (2015-2019) and University of California, Berkeley (2019-2020). His expertise includes visual attention, spatial perception, memory retention of visual information, and the impact of visual disorders on daily functioning. Key research themes include: Visual accessibility for low-vision populations, particularly in architectural spaces and vehicle safety features Cognitive mechanisms underlying visual illusions and numerosity perception Interdisciplinary applications of vision science to autonomous vehicle design and public safety infrastructure His work bridges basic cognitive science with practical solutions, such as improving step visibility for visually impaired individuals and optimizing vehicle safety interfaces for future autonomous systems. Dr. Lei teaches courses in Psychological Statistics and Perception, and actively seeks motivated students for lab involvement.

Joseph P. HavlicekView profile

Professor

• Signal Processing
• Image Processing
• Video Processing
• +7 more

Dr. Joseph P. Havlicek is the Gerald Tuma Presidential Professor in the Gallogly College of Engineering at the University of Oklahoma, where he has served since 1997. He directs the OU Center for Intelligent Transportation Systems and is a full member of the OU Institute for Biomedical Engineering, Science, and Technology. His extensive career spans both academic and professional realms, with significant contributions to signal processing, image analysis, and transportation systems. His educational background includes: BS in Electrical Engineering from Virginia Tech (1986) MS in Electrical Engineering from Virginia Tech (1988) PhD in Electrical and Computer Engineering from the University of Texas at Austin (1996) Dr. Havlicek's research spans multiple domains including signal, image, and video processing; modulation domain signal processing; target tracking; medical imaging; and intelligent transportation systems. His work bridges theoretical signal processing with practical applications in healthcare and transportation. He has pioneered techniques in AM-FM signal and image modeling, uncertainty measures, and developed innovative approaches for medical image analysis and infrared target tracking. Analysis of his recent publications reveals a strong interdisciplinary trend, with significant work at the intersection of signal processing and medical imaging, particularly in bone marrow assessment and cancer treatment monitoring using PET/CT imaging. His computer vision research focuses on infrared object detection and tracking, with recent work on dual-band infrared systems improving small object detection. The publications also demonstrate his continued theoretical contributions to signal processing, particularly in modulation domain techniques and entropy-based uncertainty measures. His scientific achievements have been recognized with numerous awards: University of Oklahoma Outstanding Faculty Advisor Award (2006) University of Oklahoma College of Engineering Brandon H. Griffith Faculty Award (2003) University of Oklahoma IEEE Favorite Instructor Award (1998, 2000) Department of the Navy Award of Merit for Group Achievement (1990) University of Texas Engineering Foundation Award for Exemplary Engineering Teaching (1992) Dr. Havlicek has been exceptionally successful in securing research funding, serving as PI or co-PI on more than 100 externally funded grants and contracts totaling over $25 million. His professional service includes editorial positions with IEEE Transactions on Image Processing and IEEE Transactions on Industrial Informatics, as well as leadership roles in major conferences including ICIP and ICASSP. He has chaired both graduate and undergraduate studies committees in the ECE department. He leads the OU Center for Intelligent Transportation Systems, which develops advanced technologies for traffic management and traveler information systems. His biomedical engineering work through the OU Institute focuses on medical image analysis, particularly for cancer treatment monitoring and bone marrow assessment. His research teams regularly collaborate with medical institutions to translate signal processing techniques into clinical applications.

• Software Engineering
• Formal Methods
• Program Analysis
• +7 more

Prof. Maria Christakis is a Full Professor in the Faculty of Informatics at TU Wien, leading the Rigorous Software Engineering Group and the Software Engineering Research Unit (E194-01). Her research focuses on developing reliable software tools, emphasizing formal methods, program analysis, and automated testing. She holds leadership roles including Curriculum Coordinator for Software Engineering programs and Faculty Council membership. Her research interests span automatic test generation, program verification, and improving developer productivity through novel techniques. Notable projects include the 'Sherlock' framework for testing program analyzers and 'Olympia' for Solidity fuzzer benchmarking. Awards include Amazon and Google Research Awards, and she actively contributes to conferences like CAV, ASE, and IJCAI. Prof. Christakis advises over 15 students (PhD, Master's, and project students) and has supervised numerous alumni. She teaches core courses like Advanced Software Engineering and oversees Bachelor/Master curricula. Her work bridges formal verification and systematic testing, with tools like 'queryFuzz' and 'LIBRA' addressing neural network fairness and SMT solver reliability. Current projects include the 'Nomos' specification language for machine learning safety and the 'LaZ' framework for lazy testing. She co-leads the Automated Reasoning doctoral school and collaborates with institutions like MPI-SWS and Microsoft Research.

• Applied Linguistics
• Discourse Analysis
• Professional Communication
• +3 more

Kristin Halvorsen is a Professor at the Department of Language and Literature, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). Her research focuses on applied linguistics, particularly discourse analysis in professional and organizational settings. She teaches in the MSKIP program and supervises PhD candidates exploring institutional communication dynamics. Education: Holds a Master’s in Cultural Studies (Ohio University, 1998) and a Doctorate in Applied Linguistics (NTNU, 2015). Her work emphasizes face-to-face and digital interaction analysis, addressing challenges in healthcare, welfare, and emergency services sectors. Research Interests Discourse analysis of professional practices, including healthcare documentation and welfare counseling Communication in cross-sector collaboration (e.g., fire safety, patient care transitions) Written digital dialogues between users and public service providers Key Projects NORDISCO 2025: Nordic interdisciplinary conference on discourse and interaction SKOP Research Group: Studies communication in professional organizations Analysis of digital welfare counseling interactions in NAV (Norwegian Labour and Welfare Administration) Advising & Grants Supervises master’s and PhD students in institutional communication. Collaborates with NAV and other public agencies to improve service delivery through discourse-based insights. Active in projects addressing ethical access challenges in applied linguistics research. Labs/Teams Forskergruppen SKOP (communication in professions) Samfunnssikkerhet: Samordning og koordinering (interagency collaboration in emergency services)

Dean D'SouzaView profile

Research Fellow

• Developmental Psychology
• Cognitive Neuroscience
• Neurodevelopmental Disorders
• +3 more

Dean D'Souza is an Associate Research Fellow at Birkbeck, University of London, and a Research Associate at University College London. He specializes in developmental psychology and cognitive neuroscience, focusing on neurodevelopmental disorders such as Down syndrome, fragile X syndrome, and Williams syndrome. His work examines how early attentional, perceptual, and cognitive mechanisms influence language and communication skills in both typical and atypical populations. Education: PhD in Psychology (CBCD, Birkbeck), MSc in Cognitive Neuroscience (Distinction), BSc Psychology (First Class), MA Philosophy, and BA Peace Studies. Professional affiliations include Fellow of the Cambridge Philosophical Society (F.C.P.S.) and Chartered Psychologist (C.Psychol.) with the British Psychological Society. Research interests emphasize tracing developmental trajectories of higher-level abilities to infancy, with a focus on visual attention, auditory-visual integration, and neural correlates of social perception. He has presented at conferences globally and published extensively on topics like cross-syndrome comparisons, bilingualism impacts, and neurocognitive studies of genetic disorders. Grants/Awards: Over £70,000 in grants from organizations like the British Academy, Williams Syndrome Foundation, and The Waterloo Foundation. Notable projects include studies on bilingualism effects, sleep’s role in language development, and neurocognitive markers in infants with genetic syndromes. Key contributions include insights into atypical development through cross-syndrome comparisons and the role of early neurophysiological markers in predicting later outcomes. His work bridges basic science and clinical applications, aiming to improve interventions for neurodevelopmental disorders. Labs/Teams: Affiliated with the Centre for Brain and Cognitive Development at Birkbeck, collaborating with institutions like UCL and international networks studying Williams syndrome and autism spectrum disorders.

• Healthcare Access in Underserved Areas
• Primary Care
• Clinical Reasoning
• +3 more

Elizabeth Roessler is an Assistant Professor in the Physician Assistant Online Program at Yale School of Medicine’s Department of Internal Medicine, serving as Director of the PA Online Program. She has over 29 years of clinical experience and holds an MMSc from Emory University (1994) and BS from Quinnipiac College (1983). Her research focuses on healthcare access in underserved populations, clinical reasoning, and LGBTI+ health disparities. She co-medical directs HAVEN, a free clinic supported by Yale students, and serves on multiple committees including the Education, Policy, and Curriculum Committee. Education: MMSc, Emory University, 1994 BS, Quinnipiac College, 1983 Research Interests: Ms. Roessler’s work emphasizes improving access to primary care, social determinants of health, and addressing health disparities through education and clinical practice. She integrates clinical reasoning development and professionalism training into her pedagogical approach. Recent research has explored neurophysiological mechanisms in psychiatric conditions and endocrine effects on neural function. Awards: 2017: Inspire Yale Award (Yale University) 2015: Jack Cole Society (Class of 2015) Program Leadership: As PA Online Program Director, she oversees curriculum development, accreditation standards, and student academic progress. She chairs key committees and advises on diversity initiatives through her role in the Dean’s LGBTQI Affairs Council. Her clinical volunteer work at HAVEN aligns with her commitment to community-based healthcare. Labs/Teams: Affiliated with Yale’s Program in Addiction Medicine and collaborates with faculty in neurophysiology and diabetes research.

• Neuroimaging
• Opioid Use Disorder
• Brain Dynamics
• +3 more

Saloni Mehta is a Researcher at the Department of Radiology & Biomedical Imaging, Yale School of Medicine, affiliated with the Multi-modal Imaging, Neuroinformatics, & Data Science (MINDS) Laboratory. Her work focuses on neuroimaging techniques to study brain structure, function, and dynamics, particularly in conditions such as opioid use disorder, bipolar disorder, and schizophrenia. She employs advanced methods like functional MRI (fMRI), PET imaging, and connectome-based predictive modeling to explore neural variability, cognitive control, and brain state engagement. Her research also addresses translational challenges, including improving data integrity and developing clinical tools like the BrainEffeX web app. Her studies highlight structural and functional brain alterations in opioid use disorder, linking these changes to cognitive and behavioral outcomes. Recent findings include associations between opioid use and brain volume reductions, resting-state connectivity disruptions, and neural flexibility deficits. She also investigates trends in academic publishing, such as self-citation rates in neuroscience journals, contributing to discussions on research ethics and methodology. Awards/Grants: No awards explicitly mentioned in the provided text. Her work is likely supported by institutional grants and collaborations within the Yale School of Medicine. Lab/Teams: Active member of the MINDS Lab, focusing on neuroimaging innovation and interdisciplinary data science approaches.

• Neuroscience
• Psychiatry
• Cognitive Science
• +3 more

Dr. Tamara Vanderwal is an Assistant Professor in the Child Study Center at Yale School of Medicine. She holds an MD from Yale University School of Medicine (2006). Her research focuses on using naturalistic conditions like movie-watching to study brain function, particularly in clinical contexts such as child psychiatric disorders. She employs novel neuroimaging techniques to analyze large-scale neural networks and their interactions during complex information processing. Additionally, she serves as an attending physician at a community outpatient clinic, supervising child and adolescent psychiatry fellows, and contributes to the Journal of the American Academy of Child and Adolescent Psychiatry as a senior editor. Her work emphasizes advancing neuroimaging methods to include underrepresented populations and improve understanding of developmental disorders. Collaborations with researchers like Arielle Baskin-Sommers highlight her interdisciplinary approach to addressing challenges in clinical neuroscience and neuroimaging reliability. Key areas of research include functional connectivity analysis, sensory integration studies, and the application of fMRI to assess brain-behavior associations in diverse populations. Her recent publications (2024–2025) explore topics such as high-motion minoritized youth inclusion, cortical development in preterm infants, and predictive biomarkers for antidepressant efficacy. Dr. Vanderwal’s contributions bridge clinical practice and academic research, aiming to enhance diagnostic and therapeutic approaches for neurodevelopmental and psychiatric conditions in children and adolescents.

Merve ErdalView profile

Associate Professor

• Transport Phenomena in Materials Processing
• Composites
• Structural/Functional Ceramics
• +5 more

Merve Erdal is an Associate Professor in the Department of Mechanical Engineering at Middle East Technical University (METU), Ankara, Turkey. She holds a B.Sc. (1989), M.Sc. (1992) from METU, and a Ph.D. (1998) from the University of Illinois. Her research focuses on transport phenomena in materials processing, composites, structural/functional ceramics, rapid prototyping, and computational fluid mechanics. She leads the Composites Lab, offering graduate research opportunities in vascularized composites, electrically conductive materials, honeycomb structures, and microstructure control in composites. Her work emphasizes advanced manufacturing techniques like selective laser sintering and resin transfer molding. Notable projects include strain monitoring systems in fiber-reinforced composites, CNT dispersion effects, and optimization of sandwich structures. Her research bridges material science with mechanical engineering, addressing challenges in composite design, process-induced defects, and material functionality. Current research topics include: 1) Controlled functionality in composites via vascularized designs, 2) Electrically conductive nanocomposites, 3) Honeycomb sandwich structure processing, and 4) Microstructure homogenization through resin flow control. She collaborates on numerical modeling of void dynamics, warpage characterization, and equivalent material models for sandwich laminates. Dr. Erdal’s publications span journals like Advanced Composite Materials , Results in Physics , and Journal of Composite Materials , reflecting her expertise in composite mechanics, material characterization, and process simulation. Open positions are available for graduate students in her lab, focusing on innovative composite applications and advanced manufacturing processes.

• Extreme Multi-label Classification
• Machine Learning
• Algorithms
• +3 more

Erik Schultheis is a Doctoral Student and Visitor (Faculty) in the Department of Computer Science at the School of Science. His research focuses on extreme multi-label classification, algorithm design, and optimization challenges in machine learning. He holds a Master of Science in Physics from Georg-August-Universität Göttingen (2019). Key research interests include scalable classification systems, label correlation learning, and addressing long-tail and missing label problems in large-scale datasets. His work emphasizes practical solutions for commodity hardware limitations and memory efficiency in training models with millions of labels. Notable contributions include the Dismec++ software tool for extreme classification, and he has presented at conferences such as NeurIPS, ICML, and KDD. His 2021 NeurIPS Outstanding Reviewer Award highlights his peer-review contributions to the field. Recent publications explore dynamic sparsity in large output spaces, online algorithm generalizations, and label calibration in extreme classification scenarios. His research bridges theoretical algorithm development with practical implementation challenges in real-world systems.

• Ophthalmology
• Neuroscience
• Immunology
• +3 more

Dr Yashar Seyed Razavi is an Honorary Senior Lecturer in the School of Medical Sciences at the University of Sydney, affiliated with the Save Sight Institute. His research focuses on neuro-immune interactions in ocular tissues, particularly investigating corneal pain mechanisms, fibrosis, and imaging techniques. Key areas include developing animal models (e.g., JR5558 mice, ciliary nerve constriction) to study retinal and corneal pathologies. Research Interests: Dr Razavi explores the interplay between nerves and immune cells in diseases such as dry eye syndrome, neuropathic corneal pain, and retinal fibrosis. He employs advanced imaging technologies like multiphoton microscopy to visualize cellular interactions. His work also examines molecular signaling pathways (e.g., Notch signaling) and therapeutic interventions using nerve growth factors. Publications Trends: Recent articles emphasize corneal nerve dysfunction, dendritic cell modulation, and model validation. His work bridges basic science and translational medicine, aiming to improve diagnostic and therapeutic strategies for ocular disorders. Awards: None explicitly listed in available texts. Advising & Grants: No specific grants or student advisees mentioned. Research activities are likely supported through institutional collaborations. Labs/Teams: Active in the Save Sight Institute, focusing on ophthalmic research and neuro-immunological studies.

• Neuroscience
• Visual Perception
• Behavioral Neuroscience
• +3 more

Dr. Steffen Katzner is a researcher at the Faculty of Biology, Ludwig Maximilian University of Munich. His work focuses on understanding neuronal circuits underlying visual perception, particularly how sensory processing interacts with cognitive factors like attention and decision-making. Using mice as a model, he employs electrophysiological recordings, optogenetics, and advanced data analysis to study visual system dynamics. Collaborations include researchers from institutions like the University of Tübingen and the Max Planck Institute for Brain Research. Key research interests include corticothalamic feedback mechanisms, behavioral state effects on neural responses, and the impact of learning on sensory processing. His group, Vision Circuits (co-led with Laura Busse), investigates how visual information is encoded and modulated by behavioral context. Education and affiliations are not explicitly listed in the provided texts, but his research aligns with the Neurobiology specialization within the Faculty of Biology. No awards or grants are mentioned, though his extensive publication record reflects sustained contributions to systems neuroscience and visual processing studies. Current projects emphasize the integration of prior knowledge in neural networks to explain animal behavior, as seen in recent work published in Current Biology . Collaborative efforts with experts in computational neuroscience and neurophysiology further highlight his interdisciplinary approach to uncovering fundamental principles of brain function.

Sébastien LEMIEUXView profile

Associate Professor

• Bioinformatics
• Computational Biology
• Cancer Research
• +5 more

Sébastien Lemieux is an Associate Professor in the Department of Biochemistry and Molecular Medicine at the Faculty of Medicine, Université de Montréal, and holds a joint appointment in the Department of Computer Science and Operations Research at the Faculty of Arts and Sciences. His research focuses on developing bioinformatics algorithms for analyzing high-throughput biological data, particularly in cancer genomics and precision medicine. He earned his PhD in Computer Science (2002), M.Sc. in Computer Science (1999), and B.Sc. in Microbiology (1998), all from Université de Montréal. He leads the Functional and Structural Bioinformatics Research Unit at the Institut de recherche en immunologie et en cancérologie (IRIC), directing the bioinformatics platform. His work integrates transcriptomics, proteomics, and high-throughput screening to address challenges in cancer research. Notable projects include developing AI-driven tools for drug discovery and analyzing genomic data in acute myeloid leukemia (AML). Dr. Lemieux has supervised over 20 graduate students and postdocs, focusing on computational methods for cancer biology. He has secured funding from major agencies like the Canadian Institutes of Health Research (CIHR), Genome Canada, and Fonds de recherche du Québec (FRQS). Key collaborations include work on personalized immunotherapy and chemogenomic tools for AML treatment. His research outputs span bioinformatics algorithm development, cancer biomarker discovery, and translational applications in clinical oncology. Current projects emphasize integrating multi-omics data to identify therapeutic targets and improve treatment outcomes for high-risk cancers.

Ingrid Pretzer-AboffView profile

Professor

• Neurodegenerative Diseases
• Parkinson's Disease
• Gait Analysis
• +3 more

Dr. Ingrid Pretzer-Aboff is a Professor at Virginia Commonwealth University School of Nursing, Department of Adult Health and Nursing Systems. She holds dual fellowship status as both a Fellow of the Gerontological Society of America (FGSA) and Fellow of the American Academy of Nursing (FAAN). Her research focuses on optimizing function and quality of life for individuals with neurodegenerative diseases. Specific interests include freezing of gait, tremor management, non-medical interventions for Parkinson's symptoms, neurofeedback, gait analysis, wearable medical devices, WiFi sensing systems, and AI applications in neurological care. She also studies the psychosocial aspects of movement disorders and develops technologies to improve mobility. Her publications demonstrate a focus on technological interventions for neurological conditions, particularly Parkinson's disease. Recent work emphasizes wearable sensors, vibration therapy, machine learning applications, and feasibility studies in diverse populations including low-income seniors. Awards & Honors: Fellow, Gerontological Society of America (FGSA) Fellow, American Academy of Nursing (FAAN) Dr. Pretzer-Aboff teaches health assessment in undergraduate programs and mentors graduate/PhD students across disciplines. She co-directs the VCU Graduate Health Care Innovation Certificate program and maintains strong community engagement with Parkinson's support groups.

• Cardiovascular Anesthesiology
• Patient Satisfaction
• Transesophageal Echocardiography
• +3 more

Jeans Miguel Santana, MD is an Assistant Professor of Anesthesiology at Yale School of Medicine, specializing in cardiothoracic anesthesia and transesophageal echocardiography (TEE). He holds affiliations with Bridgeport Hospital and Fairfield University's nurse anesthesia program. Dr. Santana completed his medical degree at SUNY Downstate Health Sciences University (2017), anesthesiology residency at SUNY Downstate (2021), and a cardiothoracic anesthesia fellowship at Tufts Medical Center (2022). He is a member of prestigious societies like the Society of Cardiovascular Anesthesiologists (SCA) and American Society of Anesthesiologists (ASA), serving on SCA's Quality Safety and Value Committee. His research focuses on vascular biology, circadian rhythms' impact on vascular health, and improving arteriovenous fistula patency. Dr. Santana is also committed to medical education, community outreach, and patient engagement through his YouTube channel. Education: BA in Sociology, Boston College (2010) MD, SUNY Downstate Health Sciences University (2017) Anesthesiology Residency, SUNY Downstate (2021) Adult Cardiothoracic Anesthesia Fellowship, Tufts Medical Center (2022) Research Interests: His work bridges clinical anesthesia practice with translational research in vascular adaptation mechanisms, circadian biology's role in vascular function, and optimizing surgical outcomes. He explores how molecular pathways like Eph-B4 and caveolin-1 signaling influence arteriovenous fistula maturation. His YouTube channel provides global anesthesia education and patient engagement resources. Awards: Alpha Omega Alpha Honor Medical Society (2021) National Hispanic Medical Association Resident of the Year (2020) Lloyd S. Rogers Award for Best Research Presentation (2017) Sarnoff Cardiovascular Research Foundation Fellowship (2015) New York Academy of Medicine Glorney-Raisbeck Fellowship (2013) Advising & Service: He mentors anesthesia students and SRNAs, directs the Bridgeport Hospital Anesthesia Clerkship, and contributes to professional committees. His advocacy for health equity includes community outreach programs and patient education initiatives. Labs/Teams: Previously collaborated with Dr. Alan Dardik's vascular biology lab at NYU Langone, studying arteriovenous fistula maturation mechanisms.