جست‌وجوی استاد و پژوهشگر

• Empirical asset pricing
• Behavioral finance
• Investment funds
• +۲ مورد دیگر

Miguel Antón is a full Professor in the Department of Financial Management at IESE Business School, University of Navarra, holding a PhD from the London School of Economics, a Master's from CEMFI, and dual degrees from the University of Navarra. He serves as a research associate in the LSE's Financial Markets Group and consults for private institutions. His academic credentials include: PhD in Finance, The London School of Economics and Political Science Master's in Economics and Finance, CEMFI Bachelor's and Master's degrees in Finance and Economics, University of Navarra Professor Antón's research centers on empirical asset pricing, behavioral finance, and systemic risk, with specialized focus on institutional trading impacts, investment fund performance, and credit market contagion. His recent work critically examines how common ownership structures influence corporate innovation, competitive dynamics, and governance mechanisms across global markets. Analysis of his 2021-2025 publications reveals dominant themes in common ownership economics, appearing in premier journals like Management Science and Journal of Political Economy. His research bridges academic theory and policy relevance, frequently addressing real-world implications through media outlets including Forbes and El Confidencial. His distinguished recognition includes: Outstanding End-of-Degree Award from University of Navarra Adjunct Professor Award from LSE Department of Finance Fellowships from Ramón Areces Foundation and Association of Friends of University of Navarra Professor Antón maintains active industry engagement through consulting roles and prior experience at Bank of New York and BBVA's research division. His collaborative work with scholars like F. Ederer and M. Giné demonstrates extensive research networking across institutions including Harvard and the Federal Reserve. As a research associate in the LSE's Financial Markets Group, he participates in high-impact collaborative projects examining financial system stability, with recent presentations at institutions spanning the Rotman School, HEC Paris, and Federal Reserve Bank of New York.

Tamar Gutnerمشاهده پروفایل

استاد

• Global Governance
• International Organizations
• International Political Economy
• +۳ مورد دیگر

Tamar Gutner is Professor at American University's School of International Service (SIS), where she previously served as Associate Dean for Faculty Affairs and Graduate Education and directed the MAIR, GGPS, and IER MA programs. Her leadership extends to program development and faculty mentorship, recognized by the 2017 Outstanding Faculty Mentor award. Education: Ph.D. in Political Science, Massachusetts Institute of Technology M.A. in International Relations, Johns Hopkins University School of Advanced International Studies (SAIS) B.S. in Radio/TV/Film, Northwestern University Professor Gutner's research examines the performance and effectiveness of international organizations, particularly international financial institutions. Her work analyzes institutional collaboration between the IMF and World Bank, the design of the Asian Infrastructure Investment Bank (AIIB), and environmental governance in multilateral development banks. She employs theoretical frameworks from agency theory and institutional analysis to investigate mandate-performance gaps in global governance structures, with regional expertise in Central and Eastern Europe and emerging economies. Her publication trends reveal deepening focus on inter-organizational dynamics since 2020, shifting from single-institution analyses to collaborative mechanisms between multilateral entities. Recent work emphasizes evaluation methodologies for IO collaboration, with increasing attention to China's role in reshaping global financial governance through institutions like the AIIB. Scientific Awards: American University William Cromwell Award for Outstanding Teaching (2025) Darrell Randall Award for Outstanding Service (2014, 2024) Council on Foreign Relations International Affairs Fellowship (2019) Multiple AU SIS Faculty Research and Curriculum Development Grants Professor Gutner has secured significant research funding from the Council on Foreign Relations, Brookings Institution, MacArthur Foundation, and International Studies Association. As a mentor, she has guided numerous graduate students through AU's international relations programs, with former advisees now working in international organizations and policy institutions. Her 2019 fellowship at the IMF's Independent Evaluation Office informed both her scholarly work and practical contributions to institutional evaluation frameworks. Her professional engagement includes regular participation in major conferences like the American Political Science Association and International Studies Association, where she presents on MDB collaboration strategies and global governance innovations. Current projects examine evolving corporate strategies in multilateral development banks as accountability mechanisms.

Sushil Prasadمشاهده پروفایل

استاد

• Data Intensive Computing
• Energy-Efficient Deep Learning
• Parallel Algorithms
• +۳ مورد دیگر

Sushil Prasad is a Professor of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His research focuses on data-intensive computing, energy-efficient deep learning models, parallel algorithms, and high-performance software systems. He holds a Ph.D. from the University of Central Florida, an M.S. from Washington State University, and a B.Tech. from the Indian Institute of Technology, Kharagpur. His work emphasizes integrating parallel and distributed computing into early computer science curricula. Key research interests include geospatial data analysis using ICESat-2 and Sentinel-2 imagery, edge device-optimized neural networks, and scalable polygon processing algorithms. He has contributed to frameworks like MPI-GIS and Crayons for high-performance geospatial computing. His educational initiatives include NSF-funded curriculum modernization efforts in parallel computing education. Recent work trends show a focus on climate science applications (e.g., polar sea ice classification), energy-efficient AI, and GPU/OpenMP parallelization. He has organized workshops like EduHPC and EduPar to advance HPC education strategies. Notable recognition includes the TCPP Outstanding Service Award (2012). His projects span cloud-based GIS systems, distributed ML training, and big spatial data processing. Collaborations include NSF-funded research on colocation mining, trajectory analysis, and curriculum development for undergraduate HPC education.

Daniel J. Stilwellمشاهده پروفایل

استاد

• Autonomous Underwater Vehicles (AUVs)
• Marine Robotics
• Control Systems
• +۷ مورد دیگر

Daniel J. Stilwell is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Polytechnic Institute and State University (Virginia Tech), and Co-Director of the Center for Marine Autonomy and Robotics. He holds affiliations including the Seale Coastal Observatory Faculty Fellow role. His research focuses on autonomous underwater vehicles (AUVs), marine robotics, control systems, and sensor networks. He earned his Ph.D. in Electrical Engineering from Johns Hopkins University (1999), M.S. from Virginia Tech (1993), and B.S. in Computer Engineering from the University of Massachusetts (1991). His notable contributions include advancements in AUV control, underwater acoustic communication, multi-agent systems, and sensor network optimization. Key projects include the "Unconventional Marine Platforms" funded by the Office of Naval Research and collaborative subsea mapping initiatives. His work bridges theoretical control systems with practical robotic applications in marine environments. Dr. Stilwell has received prestigious awards such as the NSF CAREER Award and ONR Young Investigator Program Award. His research emphasizes robust control strategies, adaptive systems, and decentralized learning algorithms. He leads efforts in experimental validation of AUV control systems and underwater sensor networks, contributing to both academic and military applications.

Judith Andersenمشاهده پروفایل

دانشیار

• Stress Psychology
• Health Psychology
• Police Training
• +۴ مورد دیگر

Judith Andersen is an Associate Professor at the University of Toronto Mississauga, specializing in health psychology with a focus on the psychophysiology of stress and its impact on mental and physical health in high-stress occupations. Her research emphasizes evidence-based training programs for police and special forces, resilience development for first responders, and mental health disparities among LGBTQ+ communities. She holds a PhD from the University of California, Irvine. Her work includes designing stress-regulation interventions to enhance police decision-making during critical incidents and developing competency frameworks for incident commanders. Recent projects involve applying biofeedback technology (e.g., HRV monitoring) to improve officer performance and wellness. She collaborates internationally with law enforcement agencies in Canada, the U.S., and Europe. Key research domains include: Psychophysiological stress responses and their modulation Resilience training for first responders Mental health disparities in marginalized groups Evidence-based policing strategies Her publications from 2024–2025 explore topics like stress physiology in policing, competency development for crisis leaders, and the role of social support in reducing LGBTQ+ mental health disparities. Ongoing projects focus on reducing racial bias in policing and optimizing training through big data analytics. While no formal advisees are listed, her research teams engage in translational studies impacting policy and practice. She advocates for applied psychological research to bridge academic and real-world challenges in public safety and health.

Larry A. Fahnestockمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Engineering
• Steel Structures
• +۵ مورد دیگر

Larry A. Fahnestock is a Professor in the Department of Civil and Environmental Engineering at the University of Illinois Urbana-Champaign and serves as Associate Dean for Facilities and Capital Planning in The Grainger College of Engineering . He holds a BS in Civil Engineering (1996), MS in Civil Engineering (1998), and PhD in Civil Engineering (2006) from Lehigh and Drexel Universities. His career at Illinois includes roles as Chair of the Structures Group (2018-2021), Director of the Newmark Structural Engineering Laboratory (2022-2025), and Siess Faculty Scholar (2022-present).

Jie Xiongمشاهده پروفایل

دانشیار

• Wireless Sensing
• Mobile Health
• Wireless Networking
• +۳ مورد دیگر

Jie Xiong is an Associate Professor at the University of Massachusetts Amherst, affiliated with the Department of Computer Science within the College of Information and Computer Sciences. He holds a PhD from University College London (2015) and has been a faculty member since 2018. His research focuses on wireless sensing, mobile health, and IoT, with notable contributions to sensor-free systems and long-range sensing. He leads the Center for Smart and Connected Society and has been recognized with awards like the SIGMOBILE Test-of-Time Award (2024) and MobiCom Best Paper Award (2024). Education: PhD in Computer Science, University College London (2015) Research Interests: His work spans wireless sensing (e.g., acoustic, RF, LoRa), mobile health monitoring, and IoT applications. He explores sensor-free techniques, long-range through-wall sensing, and leveraging ambient signals for novel applications. Grants & Awards: NSF CAREER Award NIH R01 Grant (Smart and Connected Health) Google European Doctoral Fellowship BCS Distinguished Dissertation Award (Runner-Up) MobiCom '22 Best Paper Award (Runner-Up) Advising & Students: Supervises PhD students including Minhao Cui, Yuda Feng, Binbin Xie, and Dong Li. His students have received accolades like the Google Ph.D. Fellowship (Binbin Xie, 2022). Labs & Teams: Leads research in the Center for Smart and Connected Society, focusing on wireless systems and health applications. Collaborates with industry and academia on projects like EVLeSen (in-vehicle sensing) and SoilCares (agricultural monitoring).

Susan Charlesمشاهده پروفایل

استاد

• Emotional Processes
• Health and Emotion
• Aging
• +۳ مورد دیگر

Susan Charles is a Professor in the Department of Psychological Science at the University of California, Irvine. She holds a Ph.D. from the University of Southern California. Her research focuses on emotional processes across the adult lifespan, particularly how affective experiences interact with cognitive and health-related processes. She investigates the interplay between physical health factors (behavior and status) and emotional regulation, emphasizing age-related variations in these dynamics. Her work spans topics including daily stress reactivity, loneliness, cortisol rhythms, cognitive functioning, and the psychological impacts of aging during crises like the COVID-19 pandemic. She leads the Emotion Research Lab ( http://sites.uci.edu/emotionresearchlab/ ), where she explores longitudinal changes in stress management strategies and their effects on well-being. Recent studies highlight activity diversity and social engagement as protective factors for mental and physical health in older adults. Her research also addresses sociodemographic disparities in psychological well-being, including race/ethnicity and socioeconomic status. Notable contributions include the Strength and Vulnerability Integration (SAVI) model, which explains emotional aging dynamics. While no formal advisees or part-time status are explicitly stated, her publications reveal collaborations with researchers like G. Luong, J.R. Piazza, and D.M. Almeida.

• Biomedical Signal Processing
• Fetal Monitoring
• Maternal-Fetal Medicine
• +۳ مورد دیگر

Prof. SG (Guid) Oei is a full-time faculty member at the Eindhoven University of Technology (TU/e) in the Biomedical Diagnostics Lab under the Department of Electrical Engineering. He serves as a leading academic in the Eindhoven MedTech Innovation Center and the Center for Care & Cure Technology Eindhoven , focusing on advanced signal processing systems for maternal-fetal health diagnostics. Primary Affiliation: Professor , Electrical Engineering, TU/e Research Centers: Eindhoven MedTech Innovation Center, Biomedical Diagnostics Lab, Center for Care & Cure Technology Eindhoven Research Focus : Developing non-invasive fetal monitoring technologies, including electrohysterography and speckle tracking echocardiography , to improve detection of fetal distress, preterm birth prediction, and maternal-fetal health outcomes. His work bridges biomedical diagnostics with machine learning, emphasizing real-time clinical applications. Scientific Contributions : Over 288 research outputs with 4568 citations, including pioneering studies on: Fetal myocardial deformation analysis AI-enhanced cardiotocogram interpretation Extra-uterine life support system design Impact of maternal mental health on labor outcomes Optimization of uterine monitoring techniques Collaborative Networks : Works with key researchers like Jan WM Bergmans (NeuroPlatform), Massimo Mischi (Biomedical Diagnostics), and Judith OEH van Laar on projects spanning prenatal diagnostics, maternal-fetal coupling, and simulation-based obstetric training.

Ramadan El Shatshatمشاهده پروفایل

دانشیار

• Power Distribution Systems
• Smart Grids
• Energy Management
• +۴ مورد دیگر

Ramadan El Shatshat is an Associate Professor (Teaching Stream) and Director of the Electric Power Engineering Program at the University of Waterloo's Department of Electrical and Computer Engineering. He holds a PhD from the University of Waterloo (2001) and is a registered Professional Engineer in Ontario. His research focuses on distribution system engineering, smart grids, renewable energy integration, and electric vehicle impact analysis. Dr. El Shatshat has received multiple awards, including the James A. Field Teaching Excellence Award (2016) and the University of Waterloo Outstanding Performance Award (2010, 2017, 2021). He teaches courses like ECE 360 (Power Systems and Smart Grids) and ECE 668 (Distribution System Engineering). Education: PhD in Electrical Engineering, University of Waterloo (2001) MSc in Electrical Engineering, University of Garyounis, Libya (1992) BSc in Electrical Engineering, University of Garyounis, Libya (1984) Research Interests: Smart grids and microgrids Optimization for distribution systems Electric vehicles and renewable energy integration AI-based monitoring techniques Awards: 2021 University of Waterloo Outstanding Performance Award 2018 Marsland Faculty Fellowship 2016 James A. Field Teaching Excellence Award Advising & Grants: Supervised/co-supervised 26 students (undergraduate, master's, doctoral, and postdoctoral) His work spans over 50 peer-reviewed publications and patents in fault detection, voltage control, and EV integration.

Hyojoon Kimمشاهده پروفایل

استادیار

• Computer Networks
• Programmable Networks
• Software-Defined Networking
• +۳ مورد دیگر

Hyojoon Kim is an Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on computer networks and distributed systems, emphasizing in-network computing, programmable networks, software-defined networking (SDN), network measurement, and security. He received his Ph.D. from Georgia Tech (2015) and B.S. from the University of Wisconsin-Madison (2005). Prior to UVA, he worked as an Associate Research Scholar at Princeton University. Education: Ph.D. in Computer Science, Georgia Institute of Technology, 2015 B.S. in Computer Science, University of Wisconsin-Madison, 2005 Research Interests: Programmable Networks & SDN Network Measurement & Performance Analysis Network Security & Privacy In-Network Computing & Real-Time Monitoring Teaching: CS 7457: Advanced Computer Networks (Graduate) CS/ECE 4457: Computer Networks (Undergraduate) CS 6501: Software-Defined Networking & Programmable Networks (Graduate) Lab & Group: The Network Mechanics Group at UVA focuses on improving network monitoring, troubleshooting, and configuration through SDN, P4, and programmable data planes. Advising: Current advisees include Di Zhu (PhD) and Carson Kuzniar. The group actively seeks PhD students interested in systems and networking research.

Patrick Dumondمشاهده پروفایل

دانشیار

• Vibration and Acoustic System Design
• Inverse Eigenvalue Methods
• Mechanical/Biomechanical Design
• +۳ مورد دیگر

Associate Professor Patrick Dumond holds a Ph.D., M.A.Sc., and B.A.Sc. from the University of Ottawa. He is affiliated with the Department of Mechanical Engineering, Faculty of Engineering. His research focuses on vibration/acoustic system design, inverse eigenvalue methods, biomechanical design, design theory, musical acoustics, and experiential engineering education. He actively contributes to the Centre for Entrepreneurship and Engineering Design (CEED) and advises students in engineering competitions. His work bridges mechanical engineering with biomedical and educational applications, emphasizing practical, hands-on learning. Education: All degrees earned at the University of Ottawa—Ph.D. (2015), M.A.Sc. (uOttawa), B.A.Sc. (uOttawa). Research interests include vibration systems, biomedical prosthetics (e.g., hip joint prostheses), and machine learning for fault diagnosis. He has published extensively on topics like bearing fault detection, data fusion, and educational program design. Professional Involvement: CEED co-development, advising student teams, and advancing multidisciplinary engineering education. Labs/Teams: Core contributor to the Centre for Entrepreneurship and Engineering Design (CEED).

Masum Billahمشاهده پروفایل

مدرس ارشد

• Data Analytics
• Telecommunications
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Masum Billah is a Senior Lecturer at Staffordshire University, affiliated with the Digital, Tech, Innovation & Business School. He joined the university in 2022 after teaching full-time at other universities since 2019. His academic journey includes a B.Sc. in Engineering from Bangladesh, an M.Sc. in Computer & Network Engineering from the University of Greenwich (UK), and a PhD in Electrical and Electronic Engineering from Staffordshire University. He also holds postgraduate certificates in Higher Education and Research Methods. As a course leader for the B.Sc. Embedded Electronic Systems Design and Development Engineer program, he teaches both undergraduate and postgraduate courses such as IoT Devices, Artificial Intelligence, and Communications. His research focuses on data analytics, telecommunications, IoT security, and healthcare research, with a particular interest in wireless sensor networks and machine learning applications. He actively promotes STEM education as a STEM Ambassador and contributes to initiatives like university competitions and school outreach. Masum’s professional memberships include Fellow of The Higher Education Academy (FHEA), IEEE, and roles in academic leadership. His work integrates flipped learning methodologies and spans engineering consultancy, short courses, and enterprise-focused projects. Recent recognitions include Whatuni Student Choice Awards 2023 for Facilities and Social Inclusion, reflecting his commitment to educational excellence.

Jeyeon Joمشاهده پروفایل

استادیار

• Wearable Sensors
• Assistive Technology
• Textile Engineering
• +۷ مورد دیگر

Jeyeon Jo is an Assistant Professor in the Department of Textiles, Merchandising and Interiors at the University of Georgia's College of Family and Consumer Sciences. Her research focuses on wearable sensors, assistive technology, and ergonomic design, with an emphasis on sustainable materials and healthcare applications. She holds a Ph.D. in Human Centered Design from Cornell University (2023), an M.S. in Fashion Design (2017), and a B.S. in Clothing and Textiles (2014), both from Seoul National University. **Education:** Ph.D. Human Centered Design, Cornell University (2023) M.S. Fashion Design, Seoul National University (2017) B.S. Clothing and Textiles, Seoul National University (2014) **Research Interests:** Jeyeon develops wearable healthcare solutions using stretchable fiber optics and passive RFID, with a focus on optimizing user comfort and performance. Her work spans assistive technologies, firefighting gear ergonomics, and cross-cultural studies of clothing's sociocultural role. Recent projects include sustainable textile prototyping (LeatherBoard) and gait-monitoring systems (RFInsole). **Awards:** Human Service Studies Graduate Fellowship (Cornell, 2022) Best Brief at ISWC 2021 (2021) Roberta G. & John B. De Vries Graduate Award (Cornell, 2020) **Grants & Advising:** Currently no grants explicitly listed; actively advising students in wearable tech and textile engineering. Editorial roles include Fashion and Textiles (2024–present) and Korean Fashion & Textile Research Journal (2025–2026).

Thomas Heldtمشاهده پروفایل

دانشیار

• Computational Physiology
• Neuromonitoring
• Critical Care Informatics
• +۲ مورد دیگر

Thomas Heldt is Associate Professor of Electrical and Biomedical Engineering in the Department of Electrical Engineering and Computer Science at MIT, and a Principal Investigator at MIT's Research Laboratory of Electronics. He leads the Integrative Neuromonitoring and Critical Care Informatics Group and serves as Associate Director of the Institute for Medical Engineering and Science. Research focuses on: Noninvasive intracranial pressure monitoring Computational models of cerebrovascular dynamics Sepsis detection algorithms Wearable physiological monitoring Clinical decision support systems Recent publications (2022-2024) demonstrate advances in hemodynamic modeling, diagnostic algorithms for critical care, and AI applications for physiological monitoring. Key innovations include open cranium models for intracranial hypertension studies, deep learning frameworks for fatigue assessment, and mobile-based neurocognitive tracking. Professor Heldt collaborates with Boston Children's Hospital, Beth Israel Deaconess Medical Center, and Boston Medical Center to translate research into clinical practice. His work has been recognized through the W.M. Keck Career Development Professorship and IEEE EMBS Distinguished Lectureship.