جست‌وجوی استاد و پژوهشگر

Brooke Elliottمشاهده پروفایل

استاد

• Financial Reporting
• Investor Behavior
• Accounting Information Systems
• +۳ مورد دیگر

Brooke Elliott serves as the Josef and Margot Lakonishok Professor in Business and Dean of Gies College of Business at the University of Illinois Urbana-Champaign. She leads strategic initiatives to strengthen the College’s academic programs and online education, having previously held roles such as Executive Associate Dean and Head of the Department of Accountancy. Her academic journey includes a BS and MBA from Indiana University and a PhD from the University of Washington. Educational Background: Ph.D., Accounting, University of Washington (2003) B.S. & M.B.A., Accounting, Indiana University (1999) Research Interests focus on investor decision-making processes, particularly how accounting information and disclosures influence judgments. She explores topics like non-GAAP earnings, investor sentiment, and the impact of social media on trust and valuation. Her work bridges behavioral finance and accounting, addressing real-world implications for financial reporting and investor behavior. Awards include the 2021 Educational Diversity Impact Award. Her leadership roles and academic contributions highlight a commitment to advancing business education and innovation. She oversees initiatives in online education and strategic program development, maintaining Gies’ reputation as a leading business school. Her research has been featured in prominent journals and media outlets like Fortune and The Wall Street Journal .

Jennifer Rexfordمشاهده پروفایل

استاد

• Computer Networking
• Network Security
• Internet Architecture
• +۳ مورد دیگر

Jennifer Rexford is the Gordon Y.S. Wu Professor of Engineering and Provost of Princeton University. She holds a joint appointment in the Department of Computer Science within the School of Engineering and Applied Science. Previously, she served as Chair of the Computer Science Department from 2015 to 2022 and worked at AT&T Labs—Research from 1997 to 2005. She earned her BSE in Electrical Engineering from Princeton University in 1991 and her PhD in Electrical Engineering and Computer Science from the University of Michigan in 1996. Her research focuses on computer networking, with an emphasis on enhancing network security, scalability, and trustworthiness. Key areas include software-defined networking (SDN), network architecture evolution, and mitigating cybersecurity threats. She co-authored influential books such as Web Protocols and Practice and The Real Internet Architecture , and has contributed to foundational research on network telemetry, BGP security, and programmable data planes. Rexford has received numerous accolades, including the ACM Grace Murray Hopper Award, ACM SIGCOMM Lifetime Contribution Award, and IEEE Alexander Graham Bell Medal. She is a Fellow of the ACM and IEEE, and a member of the National Academies. Her recent work addresses challenges like global BGP attack mitigation and scalable video conferencing solutions using SDN principles. As Provost, she oversees academic affairs and continues to advise students, including PhD candidate Sophia Yoo. Her affiliations include the Center for Information Technology Policy (CITP), the Keller Center, and the Princeton Environmental Institute (PEI).

• NMR Spectroscopy
• Machine Learning
• Fluid Dynamics
• +۲ مورد دیگر

Prof. Dr. Dirk Wilhelm serves as Dean of the School of Engineering and Professor of Medical Physics at Zurich University of Applied Sciences (ZHAW). With extensive experience spanning academic leadership and industry R&D, his work focuses on integrating computational methods with experimental physics. His research bridges NMR spectroscopy, fluid dynamics, and machine learning, with particular emphasis on: Developing deep learning frameworks for NMR spectral analysis and classification Modeling fluid-structure interactions in biomedical devices Advancing computational fluid dynamics for industrial applications Designing cryogenic instrumentation for high-resolution spectroscopy Recent publications demonstrate a strong trend toward AI-driven analytical methods in NMR spectroscopy, with several studies focusing on spectral deconvolution, multiplet classification, and signal processing using deep neural networks. Earlier foundational work established expertise in computational fluid dynamics, particularly in instability analysis and multiphase flow modeling. His research group actively collaborates with industrial partners including Bruker BioSpin, with projects ranging from microturbine design to pharmaceutical pump optimization.

Donglai Xuمشاهده پروفایل

استاد

• Digital Systems Design
• Micro/Nano Devices
• Image/Video Compression
• +۴ مورد دیگر

Dr. Donglai Xu is a Professor of Electronic Engineering at Teesside University, affiliated with the SCEDT Engineering and the Centre for Sustainable Engineering. He holds additional roles as a Visiting Professor at ENSEEIHT (France) and Wuhan Polytechnic University (China). His expertise spans digital systems, micro/nano devices, and video/image technology. Dr. Xu serves on the Editorial Board of the International Journal of Intelligent Automation and Soft Computing , and has led multiple international conferences and technical committees. Research Interests: Image/Video Compression and Motion Analysis MPEG Standards and VLSI Design Organic Electronics and Digital Systems Parallel Architectures and SoC Design Collaborations and Grants: Dr. Xu has secured funding from the EU, UK agencies, and industry partners. Notable projects include the AMIGO-Biochar initiative (2020-2025) focused on advanced biochar manufacturing. His work integrates engineering innovations with sustainable applications. Professional Affiliations: Senior Member of IEEE, Member of IET, and elected member of the IEEE Signal Processing and Communication Electronics Technical Committee.

• Control Systems
• Mechatronics
• Robotics
• +۱۲ مورد دیگر

Sumeet S. Aphale is a Professor and Academic Line Manager at the School of Engineering, University of Aberdeen, where he also leads the Electrical and Electronic Systems research group. He holds a Personal Chair and is actively involved in research, teaching, and academic leadership. He is the Programme Leader for the MSc in Robotics & Artificial Intelligence and MSc in Industrial Robotics. Education: BEng Electrical Engineering, University of Pune, India (1999), First Class with Distinction MS Electrical Engineering (Robotics and Control), University of Wyoming, USA (2003) PhD Electrical Engineering (Robotics and Control), University of Wyoming, USA (2005) His research focuses on control systems, mechatronics, robotics, nanopositioning, soft robotics, and vibration control. He leads the Artificial Intelligence, Robotics and Mechatronic Systems (ARMS) group, emphasizing practical, implementable solutions for complex engineering problems. His work spans applications in MEMS, drill-strings, biomedical systems, and renewable energy. The 15 most recent publications reflect a strong trend in advanced control strategies, including fractional-order, sliding-mode, and AI-based control, applied to nanopositioning, soft actuators, and industrial systems. Key themes include precision enhancement, dynamic modeling, and real-time performance optimization. Scientific Awards: Principal's Excellence Award for Outstanding Postgraduate Research Supervisor (2023) Best Paper Award, AsiaSim (2017) Best Paper Award Finalist, Advanced Intelligent Mechatronics (2008) Tau Beta Pi - Engineering Honors Society (2003) Top 5 UG GPA (1999) Dr. Aphale has supervised numerous PhD students to completion and currently mentors several doctoral candidates in areas such as soft robotics, motor optimization, and unconventional control. He has secured over £2.7M in research funding from EPSRC, SFC, Innovate UK, and international sources, and has led industrial consultancies with BP, Aramco, Aker, and LeapAI. He is actively involved in knowledge exchange through KTP projects and industrial collaborations. He teaches courses in signals, systems, and advanced control engineering and serves as a personal tutor and examination officer. He leads the ARMS research group and collaborates with institutions in Spain, China, India, France, Australia, and the USA. His editorial roles include Associate Editor for IEEE Control Systems Letters and Frontiers in Mechanical Engineering.

• Palaeolithic archaeology
• Mesolithic archaeology
• Use-wear analysis
• +۲ مورد دیگر

Professor Katarzyna Pyżewicz from the University of Warsaw serves as Head of English-language Archaeology Studies and works in the Stone Age Department . She leads the Laboratory of Specialist Archaeological Analyses and acts as the university's Representative for Equality. Research Focus: Palaeolithic and Mesolithic archaeology, with specialization in use-wear analysis , lithic studies , and experimental archaeology Methodological Contributions: Advances in traseological analysis, thermal transformation studies of chalcedonite, and multi-proxy approaches to prehistoric enclosures Regional Expertise: Polish Upper and Late Palaeolithic, with significant work on Magdalenian blade technology and Mesolithic settlement patterns Key Publications: Studies on LBK settlements, Swiderian blade biographies, Micoquian bifacial tools, and obsidian utilization in Neolithic Poland

Monique Landbergمشاهده پروفایل

پژوهشگر

• Lifelong Learning
• Learner Identity
• Mental Learning Techniques
• +۴ مورد دیگر

Dr. Monique Landberg is a researcher in Educational Psychology at University of Education Weingarten, Germany, focusing on lifelong learning, identity development, and mental learning techniques. She actively contributes to institutional governance as a member of the Commission for Safeguarding Good Scientific Practice and the 'Freiraum' project selection committee for the Foundation for Innovation in Higher Education, while maintaining strong European research collaborations. Her academic foundation includes: Graduate psychologist from Friedrich Schiller University Jena Doctorate (Dr. phil.) in Educational Psychology from Friedrich Schiller University Jena Experiential Education certification from Elan eV Erfurt Systemic Consulting for Junior Professionals from isb Wiesloch Career coaching certification from isb Wiesloch Milton Erickson communication techniques (M.E.G.) AdA Schein (instructor qualification) from IHK Ostthüringen Landberg's research centers on how relaxation and mental techniques enhance learning experiences across the lifespan, particularly examining discontinuous career paths and identity formation in young adulthood. She investigates how socioeconomic factors and critical life events shape emerging adulthood experiences, while exploring practical applications for stress reduction during academic challenges like exam periods. Her work bridges theoretical psychology with tangible educational interventions. Analysis of her publication record reveals consistent focus on learner identity dynamics within lifelong learning frameworks, utilizing mixed-methods approaches and large-scale datasets like PIAAC. Her research spans vocational psychology, European identity studies, and crisis coping mechanisms, demonstrating interdisciplinary reach across educational, developmental, and social psychology domains with strong emphasis on real-world applicability. As an active conference presenter at venues including the European Academy of Management and Conference on Emerging Adulthood, Landberg maintains robust scholarly engagement. Her professional affiliations with the German Psychological Society and GIBeT (Society for Counseling, Information, and Therapy at Universities) underscore her commitment to both research excellence and practical support for university communities.

Gerald Adamsمشاهده پروفایل

استاد مدعو

• Interventional Cardiology
• Cardiovascular Medicine
• Clinical Cardiology
• +۳ مورد دیگر

Gerald Adams, MD, is an Adjunct Professor in the Department of Medicine at Queen’s University. He joined the faculty in 1990 as an interventional cardiologist and pioneered the Percutaneous Coronary Intervention (PCI) program at KHSC. In 2000, his team became the first in Ontario to offer 24/7 Primary PCI for STEMI. Dr. Adams has held leadership roles including Division Chair, Cardiology Service Chief, and postgraduate training Program Director. He remains clinically active in the PCI lab, inpatient services, and outpatient stress testing. His research interests span interventional cardiology, cardiovascular medicine, and healthcare administration. Recent scholarly work focuses on software engineering advancements, including cybersecurity protocols, AI-driven bug fixing, and blockchain smart contract analysis. Dr. Adams has contributed to over 15 peer-reviewed articles since 2020, addressing topics like MCP server security, semantic versioning of language models, and swarm robotics optimization. His interdisciplinary research bridges clinical practice and computational innovations.

Ashwini Agrawalمشاهده پروفایل

دانشیار

• Corporate Finance
• Corporate Governance
• Labor Economics
• +۱ مورد دیگر

Dr. Ashwini Agrawal is an Associate Professor of Finance at the London School of Economics and Political Science. His research focuses on corporate finance, governance, and labor economics, with particular emphasis on how corporate policies interact with labor markets and information technologies. Research interests span corporate decision-making under labor constraints, bankruptcy reorganization effects, and information flow between employees and financial markets. His work combines theoretical modeling with empirical analysis of firm-level data. Dr. Agrawal's recent publications examine municipal bond markets, bankruptcy procedures, and information dispersion in organizations. His research consistently demonstrates how employee knowledge and labor market conditions influence corporate outcomes and market efficiency. Awards include: Review of Financial Studies Best Paper Award in Behavioral Finance (2022) 4-Nations Cup Research Prize (First Place, 2019) Review of Financial Studies Referee of the Year (2018) Review of Financial Studies Young Researcher Award (2011) He teaches courses in corporate finance, private equity, and financial policy at both graduate and undergraduate levels, maintaining an active research group investigating finance-labor intersections.

• Virtual Reality
• Human-Centered Computing
• Psychophysics
• +۵ مورد دیگر

Mantas Cibulskis is a Research Fellow at the Department of Computer Science, University of Copenhagen, affiliated with the Human-Centred Computing section. His work focuses on enhancing virtual reality (VR) experiences through multisensory integration. Education: Master of Science (MSc), Medialogy, Aalborg University (2020–2022) Bachelor of Science (BSc), Medialogy, Aalborg University (2017–2020) His research explores movement learning in VR, particularly combining visual redirection with somatosensory feedback to improve skill transfer and user experience. Earlier projects investigated redirected walking techniques and methods to minimize perceptual disruption in VR environments. Key trends in his publications include advancements in sensory feedback integration, perceptual adaptation in VR, and applications of psychophysics to movement mapping. Articles address topics like haptic proxy repurposing, occlusion effects in self-overlapping environments, and VR-induced illusions.

• Subsurface Reservoir Modeling
• CO2 Enhanced Oil Recovery & Storage (CEORS)
• Data-Driven Techniques in Reservoir Simulation
• +۶ مورد دیگر

Ashkan Jahanbani Ghahfarokhi is an Associate Professor at the Norwegian University of Science and Technology (NTNU), Department of Geosciences (IGV), specializing in reservoir engineering. He leads the CEORS Gemini Centre, a strategic collaboration between NTNU and SINTEF on CO2 Enhanced Oil Recovery & Storage. His roles include Head of the Well and Reservoir Group (2021-2022), Project Manager for the NORHED II Program in Mozambique, and Guest Editor for the Energies journal's AI/ML in Oil & Gas Special Issue. Education: PhD (NTNU, 2015), MEng (University of Calgary, 2009), MSc/BSc (Petroleum University of Technology, Iran) Research focuses on subsurface reservoir modeling, CO2 storage, data-driven techniques, and production optimization. Key interests include: CO2-EOR/Storage system design Machine learning integration in reservoir simulation Wellbore-reservoir coupling dynamics Recent articles emphasize advanced numerical modeling of CO2 injection in depleted gas fields, AI-driven proxy models for reservoir optimization, and interfacial tension analysis for hydrogen storage. His work spans 40+ peer-reviewed papers and 20+ conference presentations. Scientific Awards: NTNU's Outstanding Academic Fellows Programme (2022-2026), DNVA Postdoctoral Scholarship (2015-2017) Supervised 20+ master’s students and 4 PhD candidates, including Jinjie Mao (CO2 storage optimization), Cuthbert Ng (data-driven reservoir modeling), and Behnam Tavagh Mohammadi (CO2 field storage modeling). Active in teaching reservoir simulation, CO2 storage engineering, and petroleum geoscience courses at NTNU.

Xingfu Wuمشاهده پروفایل

استاد پژوهشی

• High-performance computing
• Performance modeling and analysis
• Energy and power modeling and analysis

Xingfu Wu is a Research Professor of Computer Science affiliated with Argonne National Laboratory (ANL). He holds a Ph.D. in Computer Science from Beijing University of Aeronautics and Astronautics and M.S. and B.S. degrees in Mathematics from Beijing Normal University. His research focuses on high-performance computing, performance modeling and analysis, and energy-efficient computing. Education: Ph.D. in Computer Science, Beijing University of Aeronautics and Astronautics, Beijing, China M.S. in Mathematics, Beijing Normal University, Beijing, China B.S. in Mathematics, Beijing Normal University, Beijing, China Research Interests: Xingfu Wu's research is centered around high-performance computing, performance modeling and analysis, and energy and power modeling. His work emphasizes optimizing parallel systems, developing frameworks for performance prediction (e.g., MuMMI), and enhancing energy efficiency in high-performance computing environments. Scientific Awards: Best Paper Award, 14th IEEE International Conference on Computational Science and Engineering (CSE-2011), 2011 Second Place, Beijing Science and Technology Advancement Awards, 1997 Labs/Teams: Wu contributes to research at Argonne National Laboratory, particularly through initiatives like the MuMMI framework for performance modeling and analysis.

• Artificial Intelligence
• Natural Language Processing
• Information Retrieval
• +۵ مورد دیگر

Xin Zhao is a prominent professor at Renmin University of China's School of Information, Department of Computer Science, with an extensive publication record spanning from 1997 to 2026. His research demonstrates significant contributions across multiple disciplines including artificial intelligence, natural language processing, computer vision, and interdisciplinary applications in ecology, medicine, and business. Dr. Zhao's research interests are remarkably diverse, focusing primarily on artificial intelligence and its applications. His work spans natural language processing, large language models, information retrieval, machine learning, and computer vision. Recent publications reveal a strong emphasis on practical AI applications in healthcare (dental implant failure prediction), environmental science (kelp bed dynamics), finance (green finance impact), and industrial systems (composite curing process monitoring). His research often combines theoretical advancements with real-world problem solving, demonstrating both academic rigor and practical relevance. Analysis of his recent publications (2024-2026) shows a clear trend toward interdisciplinary AI applications, with increasing focus on multimodal learning, robustness in dynamic environments, and practical implementations across various sectors. His work bridges theoretical computer science with domain-specific challenges in medicine, ecology, finance, and industrial engineering. The publications demonstrate sophisticated methodological approaches including deep learning architectures, mathematical modeling, and novel algorithmic solutions to complex problems. Dr. Zhao has made significant contributions to the academic community through numerous publications in high-impact journals and conferences including IEEE Transactions, ACL, AAAI, and CVPR. His collaborative work spans international boundaries, with co-authors from institutions worldwide, indicating strong research networks and interdisciplinary collaborations. His research group appears to be actively engaged in cutting-edge AI research, with particular strengths in large language models, multimodal learning, and practical AI applications. The group's work on projects like C-3PO (Compact Plug-and-Play Proxy Optimization) and RMoA (Optimizing Mixture-of-Agents) demonstrates leadership in emerging AI methodologies. Current research directions include enhancing LLM capabilities, improving multimodal understanding, and developing robust AI systems for real-world applications across diverse domains.

David Kahleمشاهده پروفایل

دانشیار

• Statistical Computing
• Data Visualization
• Algebraic Statistics
• +۴ مورد دیگر

David Kahle is an Associate Professor in the Department of Statistical Science at Baylor University. His research focuses on statistical computing, data visualization, algebraic statistics, Bayesian methods, and pharmaceutical statistics. He is known for developing R packages such as ggmap , mpoly , and unmconf , which enhance computational and visualization capabilities in statistical analysis. Dr. Kahle holds a Ph.D. from Rice University (2011) and a B.A. in Mathematics from the University of Richmond (2006). He has authored over 30 peer-reviewed articles and serves as a Research Fellow at Baylor’s Collaborative on Hunger and Poverty. His work spans interdisciplinary collaborations in healthcare policy, environmental science, and data-driven decision-making. His research interests include: Statistical software development and R package creation Bayesian computation and prior elicitation techniques Algebraic approaches to statistical problems Applications in biostatistics and pharmaceutical trials Data visualization methodologies Notable awards include the Mike Kutner Junior Faculty Travel Award (2014–2015) and recognition for outstanding classroom performance (2013). He has secured research funding from institutions like Eli Lilly & Company and the USDA, totaling over $20 million in grants. Dr. Kahle advises graduate students on topics ranging from Bayesian regression to computational algebraic methods. His lab actively contributes to advancing statistical methodologies through open-source software development and collaborative research initiatives.

• IoT
• Machine Learning
• Wireless Sensor Networks
• +۳ مورد دیگر

Qi Ang is a Postdoctoral Researcher in the Department of Economics, focusing on interdisciplinary research at the intersection of IoT, machine learning, and cybersecurity. Their work emphasizes practical applications such as smart irrigation, flood prediction systems, and secure wireless communication protocols. Key contributions include enhancing IoT device authentication, developing AI-driven environmental monitoring frameworks, and advancing physical layer security techniques. Research interests span IoT infrastructure, machine learning for environmental data analysis, wireless sensor networks, and cybersecurity solutions for constrained environments. Recent efforts include designing lightweight security protocols for IoT devices and integrating local sensor data with third-party forecasts for precision agriculture and disaster management. Publications highlight trends in sensor network modeling, anomaly detection, and energy-efficient routing. Notable projects include a smart sewage management system and a flooding alert system for municipal use. Qi Ang has also contributed to educational methodologies, as seen in their work on thesis quality assurance in academic settings.