جست‌وجوی استاد و پژوهشگر

• Transportation Engineering
• Traffic Safety
• Wrong-Way Driving Mitigation
• +۳ مورد دیگر

Seckin Ozkul is a Researcher at the Center for Urban Transportation Research (CUTR) within the College of Engineering at the University of South Florida. His work focuses on transportation safety and infrastructure, particularly in the areas of wrong-way driving mitigation and traffic management solutions. Dr. Ozkul's educational background includes: PhD from the University of Florida (2014) MS from the University of South Florida (2009) BA from Auburn University (2006) His research interests span Transportation Engineering, Traffic Safety, Wrong-Way Driving Mitigation, Logistics, and Transportation Infrastructure. Dr. Ozkul has made significant contributions to understanding and implementing solutions for wrong-way driving incidents, particularly through the evaluation of Rectangular Rapid Flashing Beacons (RRFB) at freeway off-ramps. His work bridges theoretical research with practical applications in transportation safety and infrastructure planning, focusing on developing implementable safety countermeasures for limited-access facilities and analyzing driver behavior in wrong-way driving scenarios. Dr. Ozkul has received numerous awards for his academic and research excellence, including: Auburn University International Student Achievement Award (2006) Charles E. Alexander Transportation Engineering Scholar Award (2006) Norman Liver Civil Engineering Award – Auburn University (2006) District 10/FSITE Annual Meeting Research Poster Award (2013) International Road Foundation (IRF) Fellowship Award (2014) As a researcher at CUTR, Dr. Ozkul has contributed to various projects related to transportation safety, logistics, and infrastructure. His work aligns with CUTR's mission to proactively support the implementation of innovative multimodal transportation solutions and develop leaders through research, education, and action. His research has directly informed transportation agencies on effective countermeasures for reducing wrong-way driving incidents, contributing to safer highway systems in Florida and beyond.

Ziho Kangمشاهده پروفایل

دانشیار

• Human Factors
• Human-Systems Engineering
• Eye Tracking
• +۶ مورد دیگر

Ziho Kang is an Associate Professor in the Department of Industrial & Systems Engineering at the University of Oklahoma. His research focuses on human factors, human-systems engineering, and human-computer interaction, with applications in aerospace, healthcare, and education. He holds a Ph.D., M.S., and B.S. in Industrial Engineering from Purdue University and Korea University, respectively. Dr. Kang's work emphasizes developing algorithms to analyze complex biometric data such as eye movements and haptic interactions. His research domains include eye tracking, biometric analytics, virtual reality, and training methodologies. Key application areas include air traffic control, offshore energy operations, and educational technologies. His recent articles explore virtual reality learning systems, eye tracking frameworks for safety improvement, and multimodal analysis of human performance in dynamic environments. These studies reflect his focus on integrating human factors into technology design to enhance safety, efficiency, and learning outcomes. Awards: NSF CAREER Award, Hutchinson Medal, IEEE Andrew P. Sage Best Paper Award Experience: Postdoctoral training at University of Virginia and Drexel University; industry roles at Korea Stocks & Futures Exchange and Samsung Data Systems Labs: Directs a research lab focused on human factors and biometric analytics

Tom Schnellمشاهده پروفایل

استاد

• Aircraft and Vehicle Research Instrumentation
• Human Factors Research
• Electronics and Software Development
• +۸ مورد دیگر

Tom Schnell, also known as 'Mach,' is a Professor at the University of Iowa's College of Engineering, holding dual appointments in Industrial and Systems Engineering and Electrical and Computer Engineering. He serves as the Director of the Iowa Technology Institute and holds the Captain Jim 'Max' Gross Chair in Engineering. His roles also include Professor in Occupational and Environmental Health and Neurology, as well as Director of the Operator Performance Laboratory and Human Factors Researcher at the Public Policy Center. Education: PhD (Industrial Engineering, Ohio University, 1998), MS (Industrial Engineering, Ohio University, 1994), BS (Electrical Engineering, Bern Institute of Technology, 1992). Research focuses on aircraft and vehicle instrumentation, human factors, and dynamics modeling. Key areas include flight deck design, spatial disorientation prevention, wildfire monitoring systems, and biomedical applications of vibration therapy. He leads the Operator Performance Laboratory, advancing aerospace safety and neuroergonomic solutions. Professional memberships include the Aerospace States Association, Vertical Lift Consortium, and Tailhook Association. His work bridges engineering, healthcare, and public policy, with contributions to aviation safety, emergency medical service optimization, and environmental monitoring technologies.

Sharad Sharmaمشاهده پروفایل

استاد

• Data Science
• Data Visualization
• Virtual Reality (VR)
• +۷ مورد دیگر

Sharad Sharma is the Associate Dean of Research and a Professor in the Department of Data Science at the University of North Texas (UNT)'s College of Information. He leads the DVXR Lab and DSII Center, focusing on VR/AR applications for emergency response, evacuation simulations, and data visualization. His research integrates data science with virtual reality to address challenges in healthcare, education, and disaster management. Education: Ph.D. in Computer Engineering (Wayne State University), M.S. (University of Michigan), B.Arch (Birla Institute of Technology, India). His research interests span Data Science, AI, Software Engineering, and Human Behavior Modeling in emergency scenarios. He has pioneered multi-agent systems for active shooter response training and VR-based evacuation drills in subway, airplane, and university settings. Awards: Outstanding Mentor Award (2023, 2024) 2018 USM Board of Regents Faculty Award Presidential Achievement Award (BSU, 2022) Outstanding Researcher Awards (2013, 2011) Grants and Leadership: Secured funding from DoD, DHS, NSF, and ARL. Directed BSU's Virtual Reality Lab and chaired conferences like SEDE 2017-2019 and ERVR-2025. His work emphasizes socio-cultural aspects of emergency response in dense urban environments. Labs & Teams: Data Visualization and Extreme Reality (DVXR) Lab Data Science & Industry Innovation (DSII) Center

Alban Latremoliereمشاهده پروفایل

استادیار

• Neurobiology of Pain
• Chronic Pain
• Neuropathic Pain
• +۷ مورد دیگر

Alban Latremoliere is an Assistant Professor in the Department of Neurosurgery at the Johns Hopkins University School of Medicine. His research focuses on the neurobiology of chronic and neuropathic pain, with a strong emphasis on the bidirectional relationship between pain and sleep. He is affiliated with the Neuroscience Training Program and the Neurobiology of Sleep and Pain graduate programs, reflecting the interdisciplinary nature of his work. His research interests lie at the intersection of cellular and molecular neuroscience, neural circuitry, and behavioral physiology. Using mouse models, he investigates how peripheral nerve injury leads to persistent pain states through neural plasticity. A major focus is on the tetrahydrobiopterin (BH4) biosynthesis pathway, particularly the enzyme sepiapterin reductase (SPR), as a potential therapeutic target. He also explores how chronic pain disrupts sleep architecture and how sleep loss exacerbates pain sensitivity, aiming to uncover the neural mechanisms behind this vicious cycle using EEG/EMG recordings, optogenetics, and chemogenetics. His recent publications reveal a strong trend in dissecting molecular and circuit-level mechanisms of pain and sleep. Keywords across his work include neuropathic pain, neural circuits, sleep fragmentation, and BH4 metabolism. Subfields span nociception, chemogenetics, neural plasticity, and neuroimmune interactions. His research consistently bridges basic science with translational potential. Dr. Latremoliere has received recognition through publications in top-tier journals such as Nature , Neuron , and Science Translational Medicine . While no formal awards are listed, his collaborative and high-impact work suggests significant scientific contributions. He collaborates extensively, particularly with Dr. Chloe Alexandre on sleep-pain interactions, and his lab likely involves trainees, though specific students are not named. His work is supported by robust methodologies and affiliations with leading neuroscience programs. He leads a research program that integrates behavioral testing, genetic manipulation, and physiological monitoring in mice to address fundamental questions in pain and sleep neurobiology. His lab employs cutting-edge tools to deconstruct neural circuits and identify novel analgesic targets, positioning his team at the forefront of translational pain research.

Mary Lynchمشاهده پروفایل

استاد

• Health Economics
• Public Health
• Social Prescribing
• +۱۲ مورد دیگر

Professor Mary Lynch is Executive Vice Dean - Research in the Faculty of Nursing and Midwifery at RCSI University of Medicine and Health Sciences. She holds a PhD in Health Economics and an MSc in Sustainable Rural Development from Queen’s University Belfast and is a Registered General Nurse. She is a Senior Fellow of Advance HE and a trained Social Return on Investment (SROI) practitioner. She also holds honorary visiting professorships at the University of South Wales and the University of West of Scotland. Her academic journey includes roles as Professor of Healthcare and Adult Nursing at the University of the West of Scotland (2022–2023), Senior Lecturer at Bangor University (2017–2021), and Lecturer at Cardiff University (2014–2017). She has also served as an External Examiner at Queen’s University Belfast. Her research focuses on health economics, public health, and the application of SROI, Cost Benefit Analysis, and non-market valuation to evaluate public health interventions. She investigates nature-based social prescribing, mental health, climate change impacts on health, and the economics of home support services. Her work emphasizes community assets, rural health, and behavior change. The recent articles highlight a strong trend in evaluating social prescribing, climate-related health risks, and workforce sustainability in home care. Her research increasingly integrates economic evaluation with public health policy, particularly in the context of climate action and health equity. Senior Fellow of Advance HE (SFHEA) Trained SROI Practitioner Professor Lynch is a joint Principal Investigator on a £2.29M NIHR project (WEATHER) on extreme weather and health in South Africa and co-lead on a £6.5M UKRI project on net zero and health co-benefits. She has received funding from UKRI, Welsh Government, and Skillnet. She mentors students and collaborates internationally, particularly with the University of KwaZulu-Natal. She serves on advisory boards, including the Water Research Commission, South Africa. She leads transdisciplinary research teams focused on health, climate, and social value. Her work involves collaboration with third-sector organizations, policymakers, and healthcare providers to develop sustainable health and social care pathways.

Himali Weerahandiمشاهده پروفایل

دانشیار

• Transitions of Care
• Post-Acute Care
• Skilled Nursing Facilities
• +۱۲ مورد دیگر

Himali Weerahandi, MD, MPH, is an Associate Professor in the Division of Hospital Medicine at the University of California, San Francisco (UCSF) School of Medicine. As a clinician-investigator, her work focuses on improving transitions of care, particularly for older adults moving from skilled nursing facilities to home after hospitalization. She leads NIH-funded research on systems-level interventions to reduce readmissions and enhance care quality. BA in Neuroscience, Johns Hopkins University (2004) MD, Temple University School of Medicine (2009) Residency in Internal Medicine/Primary Care, New York University Medical Center (2012) Residency and MPH in Preventive Medicine, Icahn School of Medicine at Mount Sinai (2014) Fellowship in General Internal Medicine, Icahn School of Medicine at Mount Sinai (2016) Dr. Weerahandi’s research centers on transitions of care, post-acute care, skilled nursing facilities, healthcare equity, and the impact of systemic factors on patient outcomes . Her work integrates clinical insights with health services research to address gaps in care coordination, particularly for vulnerable older adults. She has extensively studied discharge practices, readmission risks, and the effects of the COVID-19 pandemic on long-term care settings. A growing theme in her scholarship is anti-racism in medicine , including how structural inequities affect maternal and post-hospital outcomes. Her recent publications span topics such as equity in hospital readmission metrics, long-term sequelae of COVID-19 in nursing homes, electronic health record tools for diabetes management, and the emotional toll of microaggressions in academic medicine. These works reflect a strong commitment to translational research, health equity, and patient-centered care models . Her scientific awards include the National Institutes of Health/National Heart Lung and Blood Institute K23 Career Development Award , supporting her investigation into transitions from skilled nursing facilities to home after heart failure hospitalization. Dr. Weerahandi has collaborated with multidisciplinary teams across institutions and has contributed to policy discussions through her research. She is actively involved in advancing best practices in hospital medicine and post-acute care delivery. Her work has been featured in major journals and public discourse, highlighting its relevance to both clinical practice and healthcare policy.

Areen Alsaidمشاهده پروفایل

استادیار

• User State Estimation
• Affective Computing
• Human-Automation Interaction
• +۵ مورد دیگر

Areen Alsaid is an Assistant Professor in the Industrial and Manufacturing Systems Engineering department at University of Michigan-Dearborn , where she directs the USE Lab . Prior to her academic role, she worked as a research scientist at Ford Motor Company . Her research bridges user state estimation, affective computing, and human-automation interaction through advanced statistical methods and machine learning. Ph.D., Industrial and Systems Engineering, University of Wisconsin-Madison (2020) M.S., Industrial and Systems Engineering, University of Central Florida (2016) B.S., Industrial Engineering, Jordan University of Science and Technology Her research focuses on smoothing human-automation interactions by analyzing physical manifestations and contextual cues. Key areas include driver fatigue prediction, emotion recognition in vehicles, and mixed-initiative data labeling architectures. She employs techniques like GPBoost, SHAP, PCA, and t-SNE to model cognitive states and develop mitigation strategies. Recent publications highlight her work on generative AI for empathic interfaces , dimensional emotion modeling , and conversational trust assessment . Her grants from Ford, Toyota, and Mobis Technical Center emphasize real-world applications in longitudinal vehicle operation and L3 inattention estimation.

Feng Zhouمشاهده پروفایل

استادیار

• Human Factors and Ergonomics
• Human-Computer Interaction
• Engineering Design
• +۷ مورد دیگر

Feng Zhou is an Assistant Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn , affiliated with the College of Engineering and Computer Science . He leads the Design for Human-Machine Systems (DfHMS) Lab , focusing on integrating human cognition and emotion into engineering systems. Education: Ph.D., Mechanical Engineering, Georgia Institute of Technology Ph.D., Human Factors Engineering, Nanyang Technological University M.S., Computer Engineering, Zhejiang University B.S., Computer Engineering, Ningbo University Research Interests include Human Factors , Physiological Computing , Affective-Cognitive Modeling , and User Experience Design for Autonomous Driving Systems , Healthcare Robotics , and Product Ecosystems . His work bridges Engineering Design with Human Behavior Analysis through Machine Learning and Decision-Theoretic Modeling . Recent Publications highlight trends in Autonomous Vehicle UX , Emotion Recognition via Physiological Data , and Adaptive System Design using Quantum-Inspired Algorithms . Articles focus on Social Network Effects , Fuzzy Reasoning Petri Nets , and Trust Modeling in human-machine systems. Advising and Collaborations : Actively recruiting PhD students from Industrial Engineering , Psychology , and Computer Science to join the DfHMS Lab , which also includes current members Jackie Ayoub and Lilit Avetisyan . Research spans Automated Driving , Healthcare Technology , and Emotion-Driven Design .

• Gravitational Wave Astronomy
• Laser Interferometry
• Quantum Optics
• +۵ مورد دیگر

Benno Willke is a Senior Scientist and group leader at the Albert Einstein Institute (Max Planck Institute for Gravitational Physics) in Hannover, affiliated with Leibniz Universität Hannover. He leads the Laser Development and Advanced LIGO group, focusing on laser interferometry and gravitational wave astronomy. His work is integral to the LIGO Scientific Collaboration and the GEO600 project. Institution: Leibniz Universität Hannover Research Institute: Max Planck Institute for Gravitational Physics (AEI) Group: Laser Development and Advanced LIGO Location: Hannover, Germany Willke earned his PhD in 1992 and completed his Habilitation in 2009, both from Leibniz Universität Hannover. He has held academic and research positions continuously since 1993, including Junior Scientist (1993–1997), Senior Scientist (since 1998), and Feodor-Lynen Fellow at Stanford University (1997–1998). His academic title of Apl. Prof. reflects his status as an extraordinary professor. His primary research interests include laser interferometry , gravitational wave detection , squeezed light , and laser stabilization . He has made significant contributions to the development and commissioning of high-precision laser systems for gravitational wave detectors like GEO600 and Advanced LIGO. His work enables unprecedented sensitivity in detecting spacetime ripples from cosmic events such as black hole mergers. His recent publications (2022–2025) span major journals including Physical Review D , Classical and Quantum Gravity , and Optics Express . The research trends emphasize detector characterization , quantum noise reduction via squeezed light , laser cavity design (e.g., for ALPS II), and gravitational wave data analysis . These works reflect a strong focus on cutting-edge instrumentation and its application in multi-messenger astrophysics. Willke has received numerous prestigious awards, recognizing his pivotal role in gravitational wave astronomy: Berthold Leibinger Innovation Prize (2023) Bruno Rossi Prize (2017) Group Achievement Award, Royal Astronomical Society (2017) Princess of Asturias Award (2017) Gruber Prize (2016) Special Breakthrough Prize (2016) He has held leadership roles in major scientific collaborations, including the LIGO Science Collaboration (since 1997), the GEO Executive Committee (since 2000), and advisory committees for EGO and LIGO. He has delivered lectures on laser interferometry and experimental physics. Although no formal students are listed, his role as group leader implies mentorship of junior researchers and PhD candidates. He has contributed to large-scale funded projects such as Advanced LIGO and GEO600, involving substantial grants from international agencies. Willke leads the Laser group at the Albert Einstein Institute, which is central to developing and maintaining the laser systems for gravitational wave detectors. The team works on high-power lasers, frequency stabilization, and quantum-enhanced interferometry using squeezed light. They also contribute to next-generation experiments like ALPS II, which searches for axion-like particles using light-shining-through-walls techniques.

• Internet of Things
• Smart Cities
• Energy Management
• +۴ مورد دیگر

Bruno Mataloto is a Visiting Assistant Professor in the Department of Digital Technologies at ISCTE-University Institute of Lisbon's School of Technologies and Architecture. He leads the ISCTE-IUL Internet of Things Laboratory and serves as a researcher at ISTAR-Iscte - Research Center in Information Sciences, Technologies and Architecture. His academic background includes a PhD in Information Sciences and Technologies (2019-2024), Master's (2017-2019), and Bachelor's (2014-2017) in Telecommunications and Computer Engineering from the same institution. His research focuses on Internet of Things applications in smart cities, energy management systems, human behavior modeling, and sustainable technologies. Key areas include low-power networks, interactive dashboards, 3D virtual environments, and real-time monitoring systems for resource conservation. His work integrates Building Information Modeling (BIM) with IoT to optimize building operations and user experiences. Mataloto's publications demonstrate strong focus on IoT-enabled sustainability solutions, with recent work exploring blockchain integration for decentralized systems, pandemic impacts on urban environments, and precision agriculture technologies. His research consistently addresses energy efficiency challenges through technical innovation and behavioral insights. He has supervised multiple graduate students on IoT-related projects including energy-optimized lighting systems, water resource management, precision agriculture sensors, and coastal communication networks. Current doctoral supervision includes comparative analysis of communication protocols for agricultural monitoring systems. As principal investigator, he leads the Social-IoT project studying behavioral change for energy savings, and co-leads the NEEM initiative establishing e-health programs in Nepal. He directs the IoT Laboratory developing smart city solutions and has taught core courses including Internet of Things Laboratory, Programming Fundamentals, and Disruptive Technologies across undergraduate and graduate programs.

• Black Holes
• Active Galactic Nuclei
• Quasars
• +۴ مورد دیگر

Christopher Onken is a Research Fellow at the Research School of Astronomy & Astrophysics of the Australian National University, serving as Deputy Director of Siding Spring Observatory. His work focuses on observational astrophysics, particularly black holes, active galactic nuclei (AGN), and transient phenomena. Role : Deputy Director, Siding Spring Observatory Key Collaborations : SkyMapper Southern Survey, ATLAS (Asteroid Terrestrial-impact Last Alert System), LIGO/Virgo/KAGRA gravitational wave followup His research explores black hole accretion , AGN variability , and transient events through photometric and spectroscopic surveys of the southern sky. Recent projects include data releases from SkyMapper and optical followup of gravitational wave counterparts. Current trends in his publications emphasize massive black hole dynamics , changing-look AGN , and gravitational wave astronomy , leveraging facilities like ANU's 2.3m telescope and collaborations with international teams. Email : christopher.onken@anu.edu.au

• Human Factors Engineering
• Medical Device Design
• Healthcare Systems
• +۴ مورد دیگر

Dr. Estrella Paterson serves as an Affiliate of the School of Psychology and Postdoctoral Research Fellow in the School of Business at The University of Queensland's Faculty of Health, Medicine and Behavioural Sciences. With a PhD in Psychology from UQ (2020), her research bridges human factors engineering and healthcare systems design. Her primary research focuses on human factors in medical device design , particularly auditory display systems for pulse oximetry in anesthesia, and more recently healthcare control centers for patient flow management . Early work optimized oxygen saturation monitoring through innovative sonification techniques to reduce alarm fatigue and improve clinician response times. Current research applies cognitive engineering principles to healthcare system coordination, examining how control centers manage patient flow during capacity crises. Analysis of her publication timeline reveals a strategic evolution from medical device human factors (2016-2020) toward macro-level healthcare systems (2021-2025), demonstrating increasing scope from operating room equipment to institutional workflow management. Key collaborators include Penelope Sanderson, Robert Loeb, and Neil Paterson across multiple disciplines. Dr. Paterson has secured competitive funding including a 2018-2019 Australian & New Zealand College of Anaesthetists Open Grant for simulator-based pulse oximeter evaluation. She maintains active supervision availability for research students through UQ's College of Supervisors program, though no current advisees are listed in public profiles. Her laboratory work spans UQ's medical simulation facilities and healthcare control center field studies, with strong industry connections through anesthesia professional organizations. Future research directions appear focused on scaling human factors solutions to complex healthcare coordination challenges exacerbated by pandemic-era capacity pressures.

Jan Muntermannمشاهده پروفایل

استاد

• Financial Data Analytics
• Big Data in Finance
• FinTech
• +۷ مورد دیگر

Prof. Dr. Jan Muntermann holds the Chair of Financial Data Analytics at the University of Augsburg within the Faculty of Business and Economics . His work bridges big data analytics , FinTech , and the digital transformation of finance , with a focus on extracting actionable insights from heterogeneous financial data. Teaching : Offers courses in Digital Finance, Financial Data Analytics, and Market Microstructure at Bachelor’s and Master’s levels, complemented by doctoral seminars. Research : Explores machine learning, text mining, and case studies to analyze financial risk, digitalization challenges, and IT security in finance. Recent Publications highlight trends in crypto risk taxonomy , FinTech business models , and sentiment dictionary design for financial communication. His work spans both journal articles and top-tier conference proceedings (e.g., ICIS, PACIS, ECIS). Contact : University of Augsburg Faculty of Business and Economics Chair of Financial Data Analytics Building J, Room 2307 Universitätsstr. 16, 86159 Augsburg Email: jan.muntermann@wiwi.uni-augsburg.de

• Neutrino Physics
• Astroparticle Physics
• High-Energy Astrophysics
• +۳ مورد دیگر

Assistant Professor Juan Pablo Yáñez Garza is affiliated with the Department of Physics at the University of Alberta and the Arthur B. McDonald Canadian Astroparticle Physics Institute. His research focuses on neutrino physics, particularly neutrino oscillations, atmospheric neutrino production, and dark matter detection through experiments like IceCube and P-ONE. University of Alberta, Department of Physics (2018–present) Banting Postdoctoral Fellowship (2016–2018) Postdoctoral Fellow, DESY-Zeuthen (2014–2016) PhD, Experimental Physics, Humboldt Universität zu Berlin (2014) Yáñez Garza’s research explores fundamental questions in neutrino physics, including oscillation parameters, neutrinoless double beta decay, and the origins of ultra-high-energy cosmic rays. He develops advanced detection technologies such as novel photodetectors and acoustic positioning systems for large-scale experiments like IceCube and the Pacific Ocean Neutrino Experiment. Scientific awards include the Banting Postdoctoral Fellowship . His work spans collaborations with IceCube, SNO+, and VERITAS, focusing on multimessenger astronomy and indirect dark matter searches. Current projects involve refining neutrino interaction models, improving cosmic ray composition analysis, and deploying next-generation detectors for high-energy neutrino studies.