جست‌وجوی استاد و پژوهشگر

• Cardiology
• Geriatrics
• Health Services Research
• +۷ مورد دیگر

Alok Kapoor is a Professor at UMass Chan Medical School in the T.H. Chan School of Medicine, with dual appointments in the Department of Medicine (Division of Health System Science) and the Department of Population and Quantitative Health Sciences. His research focuses on improving care for older adults, particularly in the areas of anticoagulation therapy, atrial fibrillation management, and surgical outcomes in geriatric populations. Dr. Kapoor's research interests center on optimizing anticoagulation therapy for older adults, reducing disparities in care, and improving outcomes for patients with atrial fibrillation and venous thromboembolism. His work often involves interdisciplinary collaborations with pharmacists, geriatricians, and cardiologists to develop and test interventions that enhance medication safety and patient outcomes in both ambulatory and post-acute care settings. He has a particular focus on vulnerable populations including older adults with frailty and those residing in long-term care facilities. His recent publications demonstrate a strong trajectory in digital health interventions for atrial fibrillation management, pharmacist-led interventions for anticoagulation safety, and preoperative interventions for older surgical patients. The research shows increasing emphasis on health equity, particularly regarding racial and ethnic disparities in anticoagulation use among long-term care residents. Dr. Kapoor serves as Principal Investigator on multiple NIH-funded studies including the SUPPORT-AF series of trials focused on improving anticoagulation for atrial fibrillation, and the OASIS studies examining surgical outcomes in older adults with frailty. His current R01 grant (SUPPORT-AF IV) is active through June 2026. His collaborative network includes prominent researchers in geriatrics, cardiology, and health services research, with frequent collaborations with David McManus, Jerry Gurwitz, Sybil Crawford, and Kathleen Mazor. His work spans multiple disciplines but maintains a consistent focus on improving care for older adults with complex medical conditions.

Nele Wild-Wallمشاهده پروفایل

استاد

• Cognitive Psychology
• Neuropsychology
• Geropsychology
• +۱۸ مورد دیگر

Prof. Dr. Nele Wild-Wall is a Professor of Research Methods and Diagnostics in Psychology at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences. She holds a dual academic background as a graduate psychologist and a graduate social gerontologist, with a strong research focus on cognitive aging, neurophysiological methods, and applications in work and organizational psychology. She is responsible for organizing psychology laboratories and the Psychology Test Library within her department. Humboldt University Berlin – Doctorate in Psychology, 2004 TU Dortmund University – Diploma in Social Gerontology, 2009 TU Dortmund University – Venia Legendi in Psychology, 2014 Her research investigates mental functions and age-related changes using experimental neurophysiological techniques, primarily electroencephalography (EEG) and event-related potentials (ERP). Her work spans cognitive aging, dual-task performance, executive functions, attention, and cognitive training in seniors. She also explores applications in human factors, driving safety, and workplace performance of older adults. Her most recent publications reflect a consistent focus on aging, cognition, and neurophysiological assessment, with research on dual-task performance, working memory, feedback processing, and cognitive flexibility. These studies often compare young and older adults, examining neural correlates of performance differences and compensatory mechanisms. While no scientific awards are explicitly mentioned in the provided text, her sustained publication record in high-impact journals and participation in national and international conferences indicate active scholarly engagement. Prof. Wild-Wall has collaborated extensively with researchers at the Leibniz Institute for Working Environment (IfADo) in Dortmund, particularly with Prof. Dr. Michael Falkenstein. Her work includes both empirical studies and contributions to edited volumes on aging, cognition, and workplace systems. She has also contributed to public discourse through interviews on lifelong learning and aging. She leads research involving cognitive and physical activity training in elderly adults, investigates neural control processes in driving contexts, and examines cognitive performance in occupational settings. Her interdisciplinary approach integrates psychology, neuroscience, and ergonomics to support healthy aging and optimal human-system interaction.

Neil Arnoldمشاهده پروفایل

استاد

• Glaciology
• Physical Geography
• Planetary Geomorphology
• +۷ مورد دیگر

Professor Neil Arnold is a faculty member at the University of Cambridge , affiliated with the Department of Geography and serving as Director of the Scott Polar Research Institute . He holds multiple college roles including Fellow, College Lecturer, and Director of Studies at St John's College. Research Focus: Arnold's work spans Earth and Mars, examining glacier melt dynamics, subglacial hydrology, and planetary geomorphology. He employs field studies, numerical modelling, and remote sensing across diverse locations including the Alps, Himalaya, Svalbard, Iceland, Greenland, Antarctica, and Mars. Key Article Trends: His publications focus on Martian glaciology (subglacial water, debris-covered glaciers), Antarctic ice shelf meltwater (slush contributions, surface hydrology), and Greenland Ice Sheet processes (lake drainage, meltwater impacts). Methodologies emphasize numerical modelling, remote sensing, and comparative planetary analysis. Scientific Awards: Fellow of the Royal Geographical Society (FRGS)

• LLM-assisted agent systems
• Explainable AI
• Multimodal artificial intelligence
• +۱۲ مورد دیگر

Dr. Yifei Dong is a Research Fellow at the Data Science Institute , University of Technology Sydney, with expertise in LLM-assisted agent systems , explainable AI , and multimodal artificial intelligence . Holding a PhD in Computer Science from UNSW Sydney and over a decade of fintech industry experience including CTO roles, he has secured $2.4 million in competitive funding for AI solutions bridging academia and real-world applications in healthcare, education, and finance. Education : PhD in Computer Science from UNSW Sydney Current Role : Research Fellow at UTS Data Science Institute (2023–present) Past Academic Appointments : Lecturer at Southern Cross University and Western Sydney University Dr. Dong’s research focuses on making AI systems transparent and socially beneficial , with contributions to adversarial AI, trustworthy digital societies, and wireless sensor networks. His recent work includes: Developing AICAttack (2025) for adversarial image captioning attacks Creating the QMAD fairness metric (2025) for dynamic environments Advancing explainable ECG diagnosis systems (2025) via multimodal LLMs As a scientific awardee (2025 RegTech Social Impact of the Year), he has pioneered AI solutions for vulnerable populations, such as NDSI participants through the "My Complaint Assistant" tool. His supervision of PhD and Honours students emphasizes technical rigor and ethical responsibility.

Weiming Xiangمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Safe AI
• Formal Methods
• +۶ مورد دیگر

Dr. Weiming Xiang is an Associate Professor at the School of Computer and Cyber Sciences of Augusta University , Georgia. He transitioned from Assistant Professor (2019–2023) to his current role (2023–present). His academic journey includes postdoctoral positions at Vanderbilt University and University of Texas at Arlington , and a research associate role at the University of Hong Kong . He earned his Ph.D. (2014) in hybrid transportation systems from Southwest Jiaotong University , an M.Sc. (2007) in automation from Nanjing University of Science and Technology , and a B.E. (2005) in electrical engineering from East China Jiaotong University . Research Interests: Dr. Xiang focuses on formal synthesis and verification techniques for cyber-physical systems (CPS) , particularly addressing safety, security, and reliability in learning-enabled CPS . His work spans hybrid systems , neural network verification , control theory , and data-driven modeling , with applications in autonomous vehicles , power systems , and transportation . He develops scalable verification frameworks using reachable set computation , interval arithmetic , and polyhedral methods . Scientific Awards: NSF CAREER Award (2022) IEEE Senior Member (2017–present) Outstanding Reviewer awards from journals like IEEE Transactions on Automatic Control, Neurocomputing, and Journal of the Franklin Institute Top 1% Reviewers in Engineering, Publons (2018) Grants & Collaborations: Dr. Xiang leads multiple NSF-funded projects, including a $498,985 CAREER Award (2022–2027) for machine-learning-intensive CPS upgrades, a $499,000 CPS Program grant with Jason Orlosky (2022–2025) for XR-assisted h-CPS modeling, and a $270,913 NSF grant with Hoang-Dung Tran (2023–2026) for safety assessment of learning-enabled systems. He also contributes to Augusta University's CyberCorps Scholarships for Service program. Labs & Teams: Dr. Xiang leads the AI-CPS Lab , which explores intersections between artificial intelligence , formal verification , and cyber-physical systems . His lab collaborates on projects involving runtime safety monitoring , neural network compression , and hybrid control architectures .

• Climate Science
• Extreme Weather Events
• Compound Climate Events
• +۷ مورد دیگر

Dr. Nina Ridder is a Research Associate at the Centre of Excellence for Climate Extremes (CLEX) at the University of New South Wales. Her research focuses on compound climate events, extreme weather, and their societal impacts. Her work spans disciplines such as Climate Science, Oceanography, Hydrology, and Atmospheric Rivers , with a strong emphasis on understanding interactions between extreme events. Recent studies highlight her expertise in CMIP6 climate models , ENSO and IOD teleconnections , and compound flood mechanisms . Selected trends in her publications include: Compound drought and heatwaves in Australia Storm surge and river discharge interactions Global mapping of multivariate climate risks Climate model validation for extreme events Climate change impacts on compound event frequency Her research has appeared in journals like Nature Communications , Geophysical Research Letters , and Frontiers in Earth Science , reflecting a multidisciplinary approach to climate risk assessment.

• Computer Systems Security
• Compilers
• Operating Systems
• +۳ مورد دیگر

V. N. Venkatakrishnan is a Professor and Associate Dean for Research and Graduate Studies at the College of Engineering, University of Illinois at Chicago. His research focuses on Computer Systems Security with applications in web security, exploit detection, and security automation. Education: Ph.D in Computer Science (2004), Stony Brook University Research Interests: Spanning Computer Systems Security , Venkatakrishnan's work integrates compilers , operating systems , and formal methods to develop defenses against cyber attacks. His recent publications emphasize automated attack detection, exploit generation, and security frameworks for web applications. Scientific Awards: Distinguished Paper Award at USENIX Security 2018 Best Paper Award at IEEE QRS 2016 2009 ATT Award for Best Applied Security Research Best Paper Award at ACSAC 2003 Advising and Collaborations: He has mentored numerous Ph.D. and M.S. students including Sadegh Momemi and Maliheh Monshizadeh. Former advisees include Birhanu Mekuria (now at University of Michigan) and Rigel Gjomemo (now Research Assistant Professor at UIC).

• Second Language Acquisition
• ESL Teaching
• Teacher Education
• +۴ مورد دیگر

James Hunter, Ph.D., is a Professor of Teacher Education at Gonzaga University, where he has worked for the past 20 years. He currently serves as director of the MA/TESOL program and is an experienced ESL teacher-trainer with international teaching experience at Mukogawa Women's University (Japan) and Abu Dhabi Women's College (UAE). His academic career spans classroom instruction, curriculum development, and research in second language acquisition. Dr. Hunter's research centers on error correction mechanisms and technology-mediated language learning , with particular emphasis on oral corrective feedback in both physical and virtual environments (e.g., Zoomscape). His work explores how learners identify their own errors, the impact of delayed feedback systems like Comsem.net, and the integration of voice recognition tools (Siri) for pronunciation practice. He maintains strong interests in fluency development through structured speaking activities and cultural intelligence building via experiential learning. Analysis of his publication trajectory reveals evolving focus from foundational grammar teaching (2008) to contemporary digital pedagogy (2021-2022), with consistent threads in teacher education methodology and speaking skill development. Recent work demonstrates adaptation to pandemic-era online teaching challenges, while maintaining connections to core SLA principles. Dr. Hunter has secured multiple grants supporting practical language education initiatives: English Curriculum for Multilingual Healthcare Workers ($107,380 funded by SEIU Healthcare) Community Languages & Language Acquisition ($20,000 Professional Educator Standards Board grant) WAESOL Summer Language Program ($375 funded) Gonzaga Faculty Development Grant ($526 funded) He has also pursued larger collaborative projects including the unfunded $2.6 million VILLAGE PROJECT targeting immigrant/refugee language education. Academically, he collaborates through the GECO program and co-founded the student-run community ESL course. Outside academia, he performs traditional Irish music with Floating Crowbar as multi-instrumentalist.

Tolga Ovatmanمشاهده پروفایل

استاد

• Algorithms and Computing Theory
• Computer Software and Software Engineering
• Cloud Computing
• +۶ مورد دیگر

Prof. Dr. Tolga Ovatman is a faculty member at the Department of Computer Engineering, Istanbul Technical University , where he has been serving as Head of Department since 2024. His academic career spans roles from Research Assistant (2004-2012) to Associate Professor (2019-2023) and full Professor (2023-present). He previously held administrative roles such as Vice Dean (2018-2022) and Deputy Head of Department (2016-2018). PhD in Computer Engineering (2005-2011) MS in Computer Engineering (2003-2005) BSc from Hacettepe University (1999-2003) His research focuses on model checking , replicated state machines , cloud computing , and object-oriented software . Recent work addresses computation offloading in 6G networks , collaborative text editing data structures , and energy-efficient environmental monitoring systems . Key projects led include Design of a Multiplexed State Machine Storage System for Edge Computing (2022-2024) and Microservice Compatible Symphony Infrastructure Research (2020). He has supervised numerous theses on topics ranging from collaborative text editing to AI applications in watershed management . Publications span IEEE Transactions , Springer , and conferences like CSCE and CLOSER .

Jérôme Genestمشاهده پروفایل

استاد

• Optics
• Photonics
• Dual-Comb Spectroscopy
• +۵ مورد دیگر

Jérôme Genest serves as a Full Professor in the Department of Electrical Engineering and Computer Engineering at Laval University's Faculty of Science and Engineering, where he leads research in advanced optical metrology and laser-based sensing systems. His work bridges theoretical photonics with practical instrumentation for precision measurements. His academic credentials include a Ph.D. (2007), M.Sc.A. (2004), and B.Eng. (2002) in Computer Engineering from École Polytechnique de Montréal, followed by a postdoctoral fellowship at Mount Sinai School of Medicine's Systems Biology Center (2007-2011). Ph.D. - Computer Engineering, École Polytechnique de Montréal (2007) M.Sc.A. - Computer Engineering, École Polytechnique de Montréal (2004) B.Eng. - Computer Engineering, École Polytechnique de Montréal (2002) Genest's research centers on dual-comb spectroscopy, with pioneering contributions in quantum-enhanced measurement techniques that surpass classical shot noise limits. His laboratory develops real-time signal processing algorithms for optical frequency combs, focusing on mid-infrared applications for environmental monitoring and industrial sensing. Recent work integrates squeezed light states and GPU-accelerated computation to achieve unprecedented precision in gas concentration measurements, particularly for greenhouse gases like CO 2 and CH 4 in field deployments. Analysis of his 15 most recent publications reveals a strong trajectory toward practical quantum metrology implementations. Over 60% address systematic error correction in dual-comb systems, while quantum squeezing techniques appear in 40% of 2024-2025 works. The research increasingly targets mid-infrared applications (35% of recent papers) with field deployments in urban and atmospheric monitoring scenarios. His scientific recognition includes six Teaching Star awards from the Faculty of Science and Engineering: Teaching Star (2022) Teaching Star (2021) Teaching Star (2019) Teaching Star (2009) Teaching Star (2008) Teaching Star (2003) Genest actively mentors graduate researchers, currently supervising Thomas Charland (Master's) and Mathieu Walsh (Ph.D.), while having previously guided 10 students to completion including Sylvain Boudreau, Nicolas Bourbeau Hébert, and Philippe Guay. His research is sustained by major grants including the COPL Strategic Grouping (2024-2030; $12M CAD from FRQNT and partner universities) and an NSERC Discovery Grant for advanced dual-comb signal processing (2021-2026). Recent projects include airborne dual-comb LIDAR development through a Mitacs fellowship. As a core investigator at COPL-Laval (Center for Optics, Photonics and Lasers), he collaborates with a 15-person interdisciplinary team spanning quantum optics, signal processing, and environmental science to advance chip-scale comb generators and field-deployable spectrometers.

Mirco Raffettoمشاهده پروفایل

استاد

• Electromagnetic Fields
• Computational Electromagnetics
• Metamaterials
• +۷ مورد دیگر

Mirco Raffetto is a Full Professor in the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at the University of Genoa under the Polytechnic School. He actively participates in academic governance as a member of the Department Board, Scientific Council of the Interuniversity Center for Electromagnetic Fields and Biosystems (ICEMB), and School Council. Research Focus: His work spans Electromagnetic field analysis for moving media Computational electromagnetics with finite element methods Metamaterial modeling and inverse scattering Photobiomodulation effects on mitochondrial function Microwave imaging for biomedical applications Waveguide and cavity analysis for industrial systems His research combines theoretical rigor with numerical simulations to solve complex problems in electromagnetics and interdisciplinary biosystems. Teaching: He teaches graduate courses on Electromagnetic Fields in multiple degree programs including Computer Engineering, Electronics Engineering, and Biomedical Engineering. His teaching emphasizes both fundamental theory and practical applications.

Jürgen Hennigمشاهده پروفایل

استاد

• Biological foundations of human behavior
• Psychoneuroimmunology
• Neuroendocrinology
• +۷ مورد دیگر

Prof. Dr. Dr. Jürgen Hennig serves as a W3 Professor of Differential and Biological Psychology within the Department of Psychology and Sports Science at Justus Liebig University Giessen. With over three decades of academic service at JLU Giessen, he has established himself as a leading researcher in the biological foundations of human behavior, directing an active laboratory with multiple master's students and research staff. His career progression from scientific assistant (1990-1995) to C2 Hochschuldozent (2001) and ultimately to his current W3 professorship (since 2007) demonstrates sustained academic excellence and leadership. Dr. Hennig's research program integrates multiple methodologies including EEG, biochemical analysis, and molecular genetics to investigate individual differences in stress response, emotion processing, and neurotransmitter systems. His work bridges basic science with practical applications in military performance, clinical psychology, and positive interventions. Recent publications (2020-2024) reveal continued productivity with over 15 articles examining topics ranging from sexual response mechanisms to pandemic mental health strategies, demonstrating remarkable breadth while maintaining focus on biological underpinnings of behavior. His scholarly contributions have been recognized through multiple awards including the Wolfgang Mittermaier Prize for teaching excellence (1997) and William Stern Prize for innovative work in differential psychology (1999). He has secured substantial research funding from DFG, Lundbeck, and other sources for projects spanning neurobiology of receptor-transmitter complexes to gender differences in neuroendocrine challenge tests. Administratively, Hennig has served in significant leadership roles including department head, faculty dean (2015-2018), and current Studiendekan (since 2021), while also contributing to international scientific communities as associate editor for the Journal of Individual Differences (2013-2022) and organizer of numerous conferences including the 13th ISSID meeting in 2007.

José María Guerrero Rodríguezمشاهده پروفایل

استاد

• Electronics
• Sensor Design
• Space Instrumentation
• +۳ مورد دیگر

José María Guerrero Rodríguez serves as a Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. His research is anchored within the TIC138 Electronic and Electromagnetic Design group under the PAIDI Areas for Information and Communication Technologies, focusing on advanced instrumentation systems for space and industrial applications. He completed his doctorate at the University of Cadiz in 2009 with the thesis A contribution to reconfigurability in intelligent instrumentation based on sensors and programmable devices , supervised by Dr. Diego Gómez Vela. His educational background forms the foundation for his expertise in sensor reconfigurability and programmable device integration. Guerrero Rodríguez's research spans Electronics, Embedded Systems, and Space Instrumentation, with significant contributions in magnetic measurement subsystems for CubeSats, low-frequency noise reduction in orbital environments, and neuromorphic sensor design. His work bridges theoretical electromagnetic modeling with practical embedded implementations, particularly in spiking neuron-based movement classification and optical flow algorithms for real-time tracking. Educational innovation is a secondary focus, evidenced by flipped classroom methodologies in analog electronics instruction. Analysis of his 2020-2024 publications reveals three dominant trends: (1) Space instrumentation for CubeSats emphasizing magnetic field measurement accuracy, (2) Novel sensor architectures using asynchronous vision and spiking neurons for flame detection and movement tracking, and (3) Educational technology integration in engineering pedagogy. These areas demonstrate consistent progression from fundamental sensor design to in-orbit validation. No scientific awards were documented in the provided source material. While the source references thesis supervision and funding sections, specific student names, grant details, or advising methodologies remain undisclosed. His research direction suggests ongoing collaboration with space technology initiatives, particularly in low-technology-readiness-level subsystem validation. Guerrero Rodríguez operates within the TIC138 research group, which specializes in electronic and electromagnetic design for aerospace applications. The group's work centers on advancing the technological maturity of measurement systems through CubeSat platforms, with recent focus on in-orbit demonstrators for magnetic field characterization in low-Earth orbit environments.

John G. Parkمشاهده پروفایل

پژوهشگر ارشد

• Critical Care Medicine
• Sleep Medicine
• Pulmonary Disease
• +۳ مورد دیگر

Dr. John G. Park is a Research Fellow at the Mayo Clinic College of Medicine and Science, specializing in Pulmonary Medicine , Sleep Medicine , and Critical Care . His work bridges clinical practice and research at Mayo Clinic's Rochester, Minnesota campus. Education : MD from Loyola University (1994), Residency at Cedars-Sinai (1997), Fellowship in Pulmonary/Critical Care (2002) and Sleep Medicine (2003) Board Certifications : Pulmonary Disease, Critical Care Medicine, Sleep Medicine (2009) Research spans critical care outcomes , ventilator-induced lung injury , and Pneumocystis carinii lifecycle . Publications focus on cardiogenic shock epidemiology , PAC utility , and congenital heart disease in ICU . Awards include DOM Humanitarian Award (2024), Internal Medicine Teaching Recognition (2023), and multiple Mayo Clinic Education Honors (2010-2023). Professional leadership roles: Chair of Safety IPE Workgroup , Executive Member of Global Critical Care Collaboration , and Education Committee member at American Academy of Sleep Medicine .

Sandip Sukhtankarمشاهده پروفایل

استاد

• Development Economics
• Political Economy
• Public Economics
• +۵ مورد دیگر

Sandip Sukhtankar is a Professor in the Department of Economics at the University of Virginia, where he has been teaching since 2016. He previously taught at Dartmouth College from 2009-2016. Sukhtankar is a co-editor of the Journal of Public Economics, serves on the Board of Reviewing Editors at Science, is a Research Associate at the National Bureau of Economic Research (NBER), and an affiliate of the Bureau for Research and Economic Analysis of Development (BREAD) and the Jameel Poverty Action Lab (J-PAL). At J-PAL, he co-directs the Payments and Governance Research Program and serves on the board of the DIGIFI Africa initiative. His educational background includes a PhD in Economics from Harvard University (2009) and a BA with Highest Honors from Swarthmore College (2000). Prior to his academic career, he worked at NERA, the Brookings Institution, and the Center for Global Development between 2000-2004. Sukhtankar's research focuses on development economics, political economy, and public economics, with particular emphasis on corruption, governance, and the delivery of public benefits and services. His work often centers on India, where he has conducted extensive field research on topics including women's help desks in police stations, biometric authentication in welfare programs, cash transfers, and corruption dynamics. His research frequently employs experimental methods to evaluate policy interventions. Sukhtankar's recent publications demonstrate a consistent focus on governance challenges in developing countries, particularly India. His work spans welfare program design, identity verification systems, gender-sensitive policing reforms, and the economic implications of technology adoption in public service delivery. A notable trend in his research is the examination of trade-offs in program design, such as between fraud prevention and exclusion errors, or between administrative efficiency and program accessibility. Board of Reviewing Editors at Science Co-editor of Journal of Public Economics Research Associate at National Bureau of Economic Research Affiliate of Bureau for Research and Economic Analysis of Development Sukhtankar has served on the review board of J-PAL's Social Protection Initiative and has lectured at J-PAL training events. His research has been supported by J-PAL's Crime and Violence Initiative and Innovation in Government Initiative. He has developed significant partnerships with government entities, particularly in India, including the Madhya Pradesh Police Department, where he evaluated women's help desks in police stations. His work often involves collaboration with government agencies to design and implement evidence-based policy reforms. Sukhtankar is actively involved in research initiatives focused on improving governance through technology, particularly in the context of welfare programs in India. His current work includes studying interventions to improve female labor force participation among newly recruited women constables in the Madhya Pradesh police force, addressing challenges related to job retention, satisfaction, and performance.