جست‌وجوی استاد و پژوهشگر

Brady D. Lundمشاهده پروفایل

استادیار

• Cyberpsychology
• Information Ethics
• Information Security
• +۵ مورد دیگر

Dr. Brady D. Lund is an Assistant Professor at the University of North Texas, focusing on interdisciplinary research at the intersection of information science, artificial intelligence, and ethics. His work addresses AI adoption in libraries, data privacy, academic integrity, and international development. He holds a Ph.D., M.S., and B.S. from Emporia State University and Wichita State University. Education: Ph.D., Emporia State University M.S., Emporia State University B.S., Wichita State University Research Interests: Dr. Lund explores how AI impacts information seeking behaviors, data privacy literacy, and library services. His work emphasizes ethical AI deployment in academic and clinical settings, with a focus on marginalized communities. Key areas include AI-driven library systems, blockchain applications for academic integrity, and the societal implications of generative AI. Research Trends: Recent publications analyze AI's role in health information, cybersecurity threat intelligence, and library leadership in minority-serving institutions. He critiques AI authorship policies, evaluates large language models, and advocates for equitable AI access in developing countries. Labs & Teams: Leads the Computational Humanities and Information Literacy Lab and the CyberCrews initiative, focusing on AI ethics, digital literacy, and interdisciplinary collaboration.

Jonathan P. Wongمشاهده پروفایل

استاد

• Military Strategy
• Military Acquisition and Procurement
• Military Budgets and Defense Spending
• +۱۳ مورد دیگر

Jonathan P. Wong is a Senior Policy Researcher at the RAND Corporation and Professor of Policy Analysis at the RAND School of Public Policy. His work bridges academic research and defense policy, focusing on military strategy, acquisition, force planning, and the integration of emerging technologies into military operations. Education: Ph.D. and M.Phil. in Policy Analysis (Pardee RAND Graduate School), M.A. in Security Studies (Georgetown University), B.A. in Political Science (UC San Diego) Professional Experience: U.S. Marine Corps infantry officer (2001–2011), Consultant at Boston Consulting Group, current RAND researcher and professor Wong’s research interests center on defense innovation, military logistics, artificial intelligence in warfare, space capabilities, and the human dimension of military operations. He has led studies on human-machine teaming, non-lethal weapons, defense acquisition reform, and U.S. military posture in the Indo-Pacific. His work emphasizes practical, policy-relevant insights grounded in operational experience. The trends in his recent publications reveal a deep engagement with modern defense challenges: integrating commercial technologies into military systems, improving acquisition agility, enhancing battlefield awareness, and ensuring that defense innovation serves warfighter needs. His research spans strategic, operational, and tactical levels, often focusing on the U.S. Army and Marine Corps. Wong has not received public recognition in the form of listed awards in the provided texts, but his leadership in congressionally mandated studies and high-impact policy research suggests significant influence in defense circles. Advising & Grants: Co-led major projects such as the Long Range Precision Fires study and research on integrating women into Marine Corps infantry. His work is frequently funded by the Department of Defense and other federal entities, though specific grant details are not listed. Wong is affiliated with RAND’s defense and national security research teams, contributing to strategic analysis and policy development. He is not associated with a formal lab but works within RAND’s collaborative research environment, often partnering with other veterans and defense experts to produce actionable insights for military leaders and policymakers.

Kevin Kochersbergerمشاهده پروفایل

دانشیار

• Dynamics and control
• Autonomous aerial systems
• Applied aerodynamics
• +۷ مورد دیگر

Dr. Kevin Kochersberger is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech , with a career spanning academic research, technical innovation, and educational leadership. His work focuses on autonomous aerial systems , robotic control , and applied aerodynamics , particularly through the Uncrewed Systems Laboratory . Kochersberger's research has pioneered UAV-based radiation detection , 3D terrain mapping , and low-resource drone applications , including establishing the African Drone and Data Academy in Malawi . Education: Ph.D., Mechanical Engineering, Virginia Tech (1994) M.S., Mechanical Engineering, Virginia Tech (1984) B.S., Mechanical Engineering, Virginia Tech (1983) A.S., Engineering Science, Jamestown Community College (1981) Kochersberger's publications demonstrate expertise in UAV path planning , smart material actuation , and radiation source localization , with over $9M in research funding. His scientific awards include AIAA Associate Fellow (2009) and Aviation Week Aerospace Laureate (2003). Notable projects involve helicopter-deployable robotic systems and urban canyon navigation without GPS. Recent articles highlight BVLOS drone simulators , 2.5D terrain mapping , and autonomous negative obstacle traversal , reflecting his focus on real-time adaptive control and heterogeneous robotic systems . He teaches Drone Technology and Flight Operations and Advanced Design Projects , emphasizing student-driven innovation and industry collaboration .

Stephen Gravesمشاهده پروفایل

استاد

• Operations Research
• Supply Chain Management
• Manufacturing Systems
• +۳ مورد دیگر

Stephen Graves is the Abraham J. Siegel Professor of Management and a Professor of Operations Management at MIT Sloan School of Management, with a joint appointment in Mechanical Engineering. He holds a PhD in Operations Research from the University of Rochester. His research focuses on operations research models applied to manufacturing systems, supply chains, and service operations, including strategic inventory positioning and order fulfillment optimization. Graves has served as MIT Sloan’s Deputy Dean and Chair of MIT’s Faculty Council (2001-2003). He is a Fellow of INFORMS, recipient of the Kimball Medal, and member of the National Academy of Engineering. Education: PhD in Operations Research, University of Rochester MBA and AB in Mathematics/Social Sciences, Dartmouth College Research Interests: Graves develops analytical frameworks for supply chain optimization, inventory management, and production planning. His recent work addresses post-pandemic supply chain resilience, digital twins for production systems, and closed-loop supply chains. Current projects explore operational challenges in e-commerce fulfillment and global supply networks. Awards: INFORMS Kimball Medal (2023) Elected to National Academy of Engineering INFORMS Prize for Operations Research President of INFORMS (2020) Advising & Grants: Supervisor to 25+ PhD students across manufacturing, supply chain analytics, and healthcare operations. Active in industry collaborations with companies like Intel, Polaroid, and Monsanto. Leads MIT initiatives including the Leaders for Global Operations program. Labs/Teams: Core member of MIT’s Institute for Data, Systems, and Society (IDSS). Co-director of the MIT Operations Research Center. Involved in interdisciplinary projects combining data science with operations management.

Jianguo Wangمشاهده پروفایل

استاد

• Multisensor Integration
• GNSS Technology
• Precision Engineering Surveying
• +۵ مورد دیگر

Dr. Jianguo Wang is a Professor in the Department of Earth and Space Science Engineering at York University's Lassonde School of Engineering. He has been a faculty member since 2006 and is a founding member of the Lassonde School. With over 35 years of academic and industrial experience, he specializes in multisensor integration, GNSS technology, and precision engineering surveying. He holds a Dr.-Ing. in Geomatics Engineering from Universität der Bundeswehr München, Germany, alongside Bachelor’s and Master’s degrees from Wuhan Technical University of Surveying and Mapping (WTUSM). His research focuses on advanced data processing methodologies, including Kalman filtering, error analysis, and LiDAR systems. He has authored/co-authored over 60 publications, including textbooks like Error Theory and Foundation of Surveying Adjustment and Foundation of Geodesy . He is a Fellow of Engineers Canada and licensed as a Professional Engineer in Ontario. Education: Dr.-Ing., Geomatics Engineering, Universität der Bundeswehr München (Germany) M.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping B.Sc., Surveying Engineering, Wuhan Technical University of Surveying and Mapping Dr. Wang teaches courses such as Advanced Optimization and Applications , GNSS , and Global Geophysics and Geodesy . He leads the Earth Observation Laboratory (PSE 432), focusing on multisensor integration for navigation and positioning. His work explores innovative solutions for sensor calibration, data fusion, and geospatial applications. Grants & Labs: Active in lab-based research with collaborators like Baoxin Hu, his laboratory integrates GNSS, IMUs, LiDAR, and cameras for precision navigation. His recent work addresses challenges in sensor error calibration, LiDAR point cloud accuracy, and Kalman filter enhancements.

Ozcan Ozturkمشاهده پروفایل

استاد

• Heterogeneous Computing
• Hardware Accelerators
• GPU Computing
• +۷ مورد دیگر

Ozcan Ozturk is a Professor in the Computer Science and Engineering and Electronics Engineering programs at Sabancı University's Faculty of Engineering and Natural Sciences. Previously, he held professorships at Bilkent University and adjunct roles at North Carolina State University. His expertise spans heterogeneous computing, parallel systems, processor architecture, and compiler optimization. He earned his Ph.D. from Penn State University, with prior academic roles at the University of Florida and internships at Intel and Marvell. Education: Ph.D. in Computer Science and Engineering (2007), Pennsylvania State University M.S. in Computer Engineering (2002), University of Florida B.Sc. in Computer Engineering (2000), Bogazici University Research interests include accelerator technologies, GPU-based systems, multicore processors, and compiler optimizations. His work focuses on improving parallelization efficiency, energy optimization, and reliability in heterogeneous architectures. He leads funded projects like 'Machine Learning for Compiler Flags' and 'Graph Accelerator Design'. Notable awards include the Bilkent Teaching Award (2019), BAGEP (2018), and HiPEAC Paper Award (2016). He serves on editorial boards of IEEE and ACM journals and chairs major conferences like ASPLOS and ICS. Grants and collaborations include partnerships with Huawei, Intel, NVIDIA, and TÜBİTAK. He advises over 20 students and has supervised projects in safety-critical systems, FPGA accelerators, and compiler-directed optimizations. His lab develops domain-specific architectures, including RISC-V extensions for graph processing.

Simon O'Sullivanمشاهده پروفایل

استاد

• Aesthetics
• Art Theory
• Contemporary Art
• +۱۰ مورد دیگر

Simon O'Sullivan is a Professor of Art Theory and Practice and Programme Leader for the MA in Contemporary Art Theory at Goldsmiths, University of London. He is affiliated with the Department of Visual Cultures, focusing on interdisciplinary research at the intersection of art, performance, and continental philosophy. His work explores themes such as mythopoesis, fictioning, and the production of subjectivity, with a particular interest in Deleuze and Guattari's theories. O’Sullivan collaborates under the name Plastique Fantastique, a performance fiction collective that interrogates aesthetics, subjectivity, and cultural politics through interdisciplinary practices. His research interests span aesthetics, continental philosophy, and modern/contemporary art, including ritual/performance, psycho/schizo-analysis, and non-philosophy. He has published extensively, including monographs like From Magic and Myth-Work to Care and Repair (2024) and Fictioning: The Myth-Functions of Contemporary Art and Philosophy (2019 with David Burrows). O’Sullivan’s work bridges theory and practice, emphasizing hybrid writing and speculative approaches to art and culture. He teaches on the MA Contemporary Art Theory and contributes to BA and MPhil/PhD programs, mentoring students in areas like theory-fiction, occulture, and care and repair. His collaborative art projects have been exhibited globally, and he frequently presents at international conferences on topics such as myth-science and speculative methodologies.

• Entrepreneurship
• SME Management
• Innovation
• +۳ مورد دیگر

Prof. Dr. Matthias A. Tietz is an Assistant Professor and leads the Competence Center for Entrepreneurship at the St.Gallen Institute of Management in Asia (SGI-HSG), part of the University of St.Gallen in Singapore. He holds affiliate positions at IE Business School (Madrid), INDEG ISCTE (Lisbon), and the Mediterranean School of Business (Tunis). His academic journey includes degrees from Ivey Business School (Ph.D. in Entrepreneurship), Universidad del Pacífico (Peru), and Nanyang Business School (MBA, Singapore). Research focuses on entrepreneurial decision making, corporate innovation in SMEs and MNCs, and business model copycats. He regularly presents at global conferences like the Babson College Entrepreneurship Research Conference and Academy of Management Annual Meetings. Prior to academia, he consulted for companies like DHL, Henkel, and Sulzer Engineering, focusing on HR and turnaround management. He teaches courses on business consulting, social entrepreneurship in Southeast Asia, and executive education programs globally. Awarded multiple Best Paper Awards (2012, 2014, 2020) and Best Lecturer Awards across IE University programs (2019-2020). Engaged in startups as an advisor and investor, emphasizing cultural diversity in entrepreneurial contexts. Active in pro bono projects, such as supporting rural entrepreneurs in Peru.

Ning Nanمشاهده پروفایل

دانشیار

• Digital business strategy
• Evolvable IT infrastructure
• Online community
• +۳ مورد دیگر

Ning Nan is an Associate Professor at the University of British Columbia's Sauder School of Business, specifically within the Department of Accounting and Information Systems. With a BA from Peking University, an MA from the University of Minnesota, and a PhD from the University of Michigan, Dr. Nan focuses on digital business strategy, evolvable IT infrastructure, and complex adaptive systems. His research explores blockchain applications, agent-based modeling, and the intersection of AI with societal challenges like sustainability. Education: PhD in Information Systems, University of Michigan MA in Information Systems, University of Minnesota BA in Computer Science, Peking University Research Interests: Dr. Nan investigates how technology shapes organizational and societal systems, with a focus on AI ethics, sustainability through personalized recommendations, and blockchain's role in decentralized supply chains. He employs agent-based modeling to simulate complex phenomena like innovation diffusion and online community dynamics. Recent work addresses explainable AI in smart cities and carbon-reduction gamification strategies. Teaching: In 2024-2025, he teaches Data Management for Business Analytics , emphasizing practical applications of data-driven decision-making. Key Research Themes: His articles highlight trends in AI sustainability (e.g., carbon footprint impacts of recommendation systems), digital business strategy (blockchain governance, app update strategies), and foundational IS theory (hyperturbulence and IS strategy).

Masoud Asgharianمشاهده پروفایل

استاد

• Survival Analysis
• Changepoint Problem
• Nonparametric Bayesian Analysis
• +۵ مورد دیگر

Masoud Asgharian is a Professor in the Department of Mathematics and Statistics at McGill University. His research focuses on survival analysis, changepoint problems, nonparametric Bayesian methods, and data envelopment analysis. He has contributed to influential studies on dementia survival rates, censored data methodologies, and statistical efficiency measures. His work bridges biostatistics and operations research, with applications in public health and medical sciences. Key contributions include methodologies for prevalent cohort survival analysis, input relaxation efficiency measures in stochastic DEA, and causal inference techniques. Asgharian has collaborated extensively with researchers in epidemiology and biomedical engineering, as evidenced by his co-authored publications on topics ranging from tooth enamel properties to low-precision neural network quantization. His research has been published in high-impact journals such as New England Journal of Medicine , Journal of the American Statistical Association , and Biometrics . Current affiliations include leadership roles in statistical research at McGill, with ongoing projects in computational statistics and healthcare analytics.

Andrew Riceمشاهده پروفایل

استاد

• Programming Languages
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Andrew Rice is a Professor of Computer Science at the University of Cambridge's Department of Computer Science and Technology, and holds the Hassabis Fellowship in Computer Science. He is also the Director of Studies in Computer Science at Queens' College. His research focuses on programming languages, software engineering, and machine learning applications in software development. He leads projects like Isaac Computer Science and ALTA (Automated Language Teaching and Assessment), advancing adaptive learning technologies. His work includes static analysis tools such as Error Prone at Google, energy efficiency studies in computing infrastructure, and contributions to the Computing for the Future of the Planet initiative. His teaching emphasizes practical skill development through flipped classrooms and video lectures, earning him the 2014 Pilkington Prize for teaching excellence. He has held visiting roles at Google and collaborated on energy consumption research for mobile devices and data centers. His research spans systems, networking, and natural language processing, with a strong focus on applying computational methods to real-world challenges. Key Projects: Isaac Physics/Computer Science, ALTA, Error Prone Static Analysis Research Themes: Programming Languages, Machine Learning, Energy Efficiency Awards: Pilkington Prize (2014)

Bruno Clerckxمشاهده پروفایل

استاد

• Wireless Communications
• Signal Processing
• MIMO Wireless Networks
• +۷ مورد دیگر

Prof. Bruno Clerckx is a Professor of Wireless Communications and Signal Processing at Imperial College London's Department of Electrical and Electronic Engineering, Faculty of Engineering. He leads the Communications and Signal Processing Group and the Wireless Communications and Signal Processing Lab. Education: M.Sc. and Ph.D. in Electrical Engineering from Université Catholique de Louvain, Belgium Doctor of Science (DSc) from Imperial College London Research Interests: Focuses on wireless communications and signal processing for next-generation networks, including MIMO systems, reconfigurable intelligent surfaces (RIS), rate-splitting multiple access (RSMA), and integrated sensing and communications (ISAC). His work emphasizes 6G technologies, full-duplex systems, and energy-efficient architectures. Key contributions include pioneering research on beyond-diagonal RIS and RSMA prototyping. Awards: 2021 Blondel Medal (France) 2021 Adolphe Wetrems Prize (Royal Academy of Belgium) Fellowships from IEEE and IET IEEE Communications Society Distinguished Lecturer (2021-2023) Labs & Teams: Heads the Wireless Communications and Signal Processing Lab, and is affiliated with the IEEE Special Interest Groups on RSMA and BD-RIS. Collaborates with global institutions including Stanford University, Tsinghua University, and Samsung Electronics. Industry Experience: Former CTO of Silicon Austria Labs and contributor to 4G/5G standards at Samsung. Holds 80+ patents and authored two books on MIMO systems.

Begona Dominguezمشاهده پروفایل

استاد

• Macroeconomics
• Monetary Economics
• Public Finance
• +۳ مورد دیگر

Professor Begona Dominguez is a faculty member in the School of Economics at The University of Queensland (UQ), within the Faculty of Business, Economics and Law. She holds a Doctor of Philosophy in Economics from Universitat Autònoma de Barcelona. Her research focuses on Macroeconomics, Public Finance, and Monetary Economics, with emphasis on fiscal policy design, central bank balance sheets, and optimal taxation frameworks. Her key projects include Supporting Entry and Growth of Australian Businesses via Tax and Transfers (2022–2024) and The role of a central bank's balance sheet in shaping the economy (2021–2024) . She is available for PhD supervision and actively contributes to applied macroeconomic analysis, particularly in urban economic advantages and policy evaluation. Publications span topics like fiscal sustainability, inflation dynamics under central bank policies, and the implications of constitutional constraints on taxation. Her work bridges theoretical models (e.g., Ramsey frameworks) with empirical applications in tax policy and public debt management. Professor Dominguez maintains affiliations with the Centre for Applied Macroeconomic Analysis (ANU) and has reviewed prominent texts such as John Taylor's Reform of the International Monetary System . She is based in Room 507, Colin Clark Building at UQ.

Diana Inkpenمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +۶ مورد دیگر

Professor Diana Inkpen is a faculty member at the School of Electrical Engineering and Computer Science, University of Ottawa. She holds a Ph.D. from the University of Toronto's Department of Computer Science and degrees from the Technical University of Cluj-Napoca, Romania (M.Sc. and B.Eng.). Her research focuses on computational linguistics, natural language processing (NLP), and artificial intelligence, with specialties in natural language understanding/generation, lexical semantics, and semantic web agents. Education: Ph.D., Computer Science, University of Toronto M.Sc., Computer Science and Engineering, Technical University of Cluj-Napoca B.Eng., Computer Science and Engineering, Technical University of Cluj-Napoca Affiliations: Director, NLP Lab Editor-in-Chief, Computational Intelligence journal Associate Editor, Natural Language Engineering journal Her research has led to roles such as program co-chair for AI 2012 and leadership in organizing international workshops. She has received funding from NSERC, SSHRC, and OCE, and was honored with a Visiting Professor title at the University of Wolverhampton, UK. Her teaching spans courses like Information Retrieval, Natural Language Processing, and Prolog programming. Professor Inkpen's work bridges NLP innovations with societal challenges, including mental health surveillance via social media analysis and bias mitigation in AI systems. She actively contributes to interdisciplinary projects, such as detecting hate speech and legal text entailment, while maintaining a global research network through collaborations and international conference involvement.

Lasantha Meegahapolaمشاهده پروفایل

دانشیار

• Power System Stability
• Renewable Energy Integration
• Microgrid Modelling and Control
• +۴ مورد دیگر

Associate Professor Lasantha Meegahapola is a Deputy Head of Department (Teaching & Learning) at RMIT University's School of Engineering in Melbourne, Australia. He holds an IEEE Senior Membership and serves as an Associate Editor for several prestigious journals, including IEEE Transactions on Power Systems and IET Renewable Power Generation. His research focuses on Power System Stability with Renewable Integration, Microgrid Control, and Smart Grid Technologies, addressing challenges like voltage stability, inverter-based grid dynamics, and renewable energy penetration. He has supervised 16 PhD students to completion and published over 200 articles. Key contributions include identifying stability issues in microgrids and advancing grid-forming inverter control strategies. His work aligns with UN Sustainable Development Goals 7 (Clean Energy), 9 (Infrastructure), and 13 (Climate Action). He is actively involved in IEEE committees, including the PSDP Task Force on Microgrid Stability. Teaching roles include Programme Manager for the Bachelor of Electrical Engineering (HK) and Subject Coordinator for Power System Analysis and Control courses. Collaborations span industry and international research institutions, emphasizing real-world applications of his research in power systems and renewable energy integration.