جستجوی استاد راهنمای دانشگاهی

Laks V.S. Lakshmananمشاهده پروفایل

استاد

• Data Management
• Graph Computing
• Machine Learning
• +۵ مورد دیگر

Laks V.S. Lakshmanan is a Professor in the Department of Computer Science at the University of British Columbia (UBC), within the Faculty of Science. His research focuses on data management, graph computing, machine learning, and algorithms, with notable contributions to dense subgraph discovery, influence maximization, and healthcare informatics. He teaches advanced courses on databases and data management, including CPSC 404 (Advanced Relational Databases) and CPSC 534L (Topics in Data Management). His awards include the ACM SIGMOD Research Highlight Award, the IEEE Data Science Best Paper Award, and recognition as an ACM Distinguished Scientist (2016). His work bridges theoretical algorithm design with practical applications in social networks, bioinformatics, and healthcare. Key research themes include optimizing graph algorithms for large-scale data, combating misinformation through network analysis, and developing efficient methods for subgraph enumeration and influence propagation. His recent publications explore topics like clinical event prediction (TRACE), cost-effective LLM selection (ThriftLLM), and cross-modal consistency in AI systems. Education: Details not explicitly provided in sources. Grants & Funding: Recipient of NSERC Discovery Accelerator Supplements. Labs/Teams: Engaged in UBC's data management research groups and collaborative initiatives with industry partners.

Hanqing Jinمشاهده پروفایل

دانشیار

• Mathematical Finance
• Stochastic Analysis
• Portfolio Optimization
• +۳ مورد دیگر

Dr. Hanqing Jin is an Associate Professor in the Mathematical Institute at the University of Oxford, specializing in Mathematical Finance and Applied Stochastic Analysis. His research focuses on investor decision-making under non-utility behavior, dynamic portfolio optimization, and stochastic control problems in financial markets. Prior to Oxford, he held an Assistant Professorship at the National University of Singapore. He has contributed to foundational work on mean-variance portfolio selection, behavioral finance, and the application of stochastic processes to financial modeling. His academic background includes extensive work on continuous-time portfolio optimization, risk management frameworks, and the intersection of behavioral economics with quantitative finance. Notable contributions include studies on optimal lockdown policies during pandemics, blockchain consensus algorithms analysis, and the development of novel biomarker detection techniques using Raman spectroscopy. Dr. Jin's research integrates advanced mathematical techniques with real-world financial challenges, bridging theoretical models with practical applications in areas such as robo-advising systems and cryptocurrency frameworks. His work on transaction cost analysis and dynamic mean-variance strategies has been widely cited in both academic and industry contexts.

Stephen Woodsمشاهده پروفایل

استاد

• Work and Organisational Psychology
• Personality Assessment
• Personality Development at Work
• +۵ مورد دیگر

Professor Stephen Woods is a leading academic in Work and Organisational Psychology, serving as Head of the Department of People and Organisations at Surrey Business School, University of Surrey. His expertise spans personality assessment, development, and its workplace implications, alongside recruitment practices and digital HR strategies. He holds advanced qualifications: MSc in Occupational Psychology and a PhD in Psychology, and is a Chartered Psychologist (CPsychol). Research interests focus on personality dynamics in organizations, including trait assessment, personality change trajectories, and the impact of work environments. He explores digital recruitment innovations and fair assessment practices. Notable affiliations include the British Psychological Society’s Occupational Psychology Division and the European Association of Work and Organizational Psychology (EAWOP). Educations: MSc (Occupational Psychology), PhD (Psychology) Awards: Academy of Management (2018), British Psychological Society Division of Occupational Psychology (2019) His research highlights include the Demands-Affordances TrAnsactional (DATA) model for personality development, and a Periodic Table of Personality mapping framework. He advises on doctoral research, with notable students exploring workplace well-being, safety behaviors, and engagement dynamics. Teaching spans undergraduate and postgraduate programs in Occupational Psychology, including leadership workshops for MBA students. He actively contributes to organizational psychology discourse through publications and professional engagement.

Fredrik Henrikssonمشاهده پروفایل

استادیار

• Sustainable Product Development
• Material Selection in Product Development
• Renewable Materials
• +۳ مورد دیگر

Fredrik Henriksson is an Assistant Professor at Linköping University's Department of Management and Engineering (IEI), within the Division of Product Realisation (PROD). His work focuses on sustainable integrated product development, particularly addressing challenges in material selection and adoption in industries like automotive and construction. He actively contributes to curriculum development, emphasizing material-driven design education for engineering students to bridge theoretical knowledge with practical industry needs. Research Interests: His primary areas include sustainable materials innovation, decision-making processes in material selection, and the integration of production systems with product development. He explores barriers to adopting renewable materials such as wood-based solutions and investigates how production systems can adapt to circular material flows. His work also addresses industrial implementation challenges of new materials, including IoT integration in wood products and multi-material automotive body solutions. Key Contributions: His 2021 doctoral thesis highlighted the role of personal habits and biases in material selection decisions, reshaping perceptions of rationality in product development. He has developed case-study methodologies for engineering education that foster cross-disciplinary collaboration and industry-relevant problem-solving. His research outcomes are published in journals like International Journal of Sustainable Engineering and SAE International Journal of Materials & Manufacturing . Labs/Teams: He is affiliated with the Unit of Design and Product Development (PRODDOP), collaborating with the Product Realisation division to advance sustainable industrial practices. His work often involves industry partnerships to ensure real-world applicability of academic research.

Joseph G. Altonjiمشاهده پروفایل

استاد

• Labor Economics
• Applied Econometrics
• Labor Market Fluctuations
• +۱۰ مورد دیگر

Joseph G. Altonji is the Thomas DeWitt Cuyler Professor of Economics at Yale University and a Research Associate at the National Bureau of Economic Research (NBER). He previously held faculty positions at Columbia University and Northwestern University, and served as a visiting professor at Princeton and Harvard. His academic affiliations include memberships in the Econometric Society, the American Academy of Arts and Sciences, and the Society of Labor Economists (past president). He received the IZA Prize in Labor Economics (2018) and has advised numerous federal and academic bodies, including the Federal Reserve Bank of Chicago and the President’s Council of Advisors on Science and Technology. Altonji’s research focuses on labor economics, applied econometrics, and inequality dynamics. Key areas include labor market fluctuations, education economics, family income dynamics, and wage determination. Current projects address school choice impacts on inequality, graduate degree returns, and the interplay between marriage, earnings, and family income. His methodological contributions include techniques to address selection bias in observational studies, particularly in evaluating school and neighborhood effects. Publications highlight trends in advanced degree returns, decomposition of earnings into wage and hours effects, and analyses of pandemic-era labor market shifts. His work often bridges econometric rigor with policy relevance, emphasizing empirical strategies to isolate causal effects. Altonji’s advisory roles reflect his engagement with real-world economic challenges, from STEM education to unemployment insurance policy design.

Corlett Woodمشاهده پروفایل

استادیار

• Evolutionary Ecology
• Plant-Microbe Interactions
• Genetic Pleiotropy
• +۱ مورد دیگر

Corlett Wood is Assistant Professor of Biology at the University of Pennsylvania's School of Arts & Sciences. She holds a PhD in Biology from University of Virginia (2015) and BA in English Literature from Swarthmore College (2008), with postdoctoral training at University of Toronto. Her research investigates the evolution, ecology, and genetics of species interactions in plant root microbiomes. The Wood Lab studies how genetic pleiotropy influences mutualistic and parasitic interactions using Medicago plants and their microbial symbionts. Research combines fieldwork, greenhouse experiments, and genomics to examine how shared genetic pathways impact host adaptation. Current projects investigate genetic tradeoffs between mutualism and parasitism, context-dependent trait expression, and community assembly processes. Field research occurs at University of Pittsburgh's Pymatuning Laboratory of Ecology, University of Virginia's Mountain Lake Biological Station, and University of Toronto's Koffler Scientific Reserve. Professor Wood received the Banting Postdoctoral Fellowship (2018) and NSF Graduate Research Fellowship (2010-2013), and directs the International Area Studies/Global Studies program. Honors and Awards: Banting Postdoctoral Fellowship (2018) Ecology & Evolutionary Biology Postdoctoral Fellow (2016-2018) Andrew Fleming Prize in Biology (2016) NSF Graduate Research Fellowship (2010-2013)

Henry Fadamiroمشاهده پروفایل

استاد

• Insect behavior
• Chemical ecology
• Neurobiology
• +۳ مورد دیگر

Henry Fadamiro is a Professor at Texas A&M University, affiliated with the College of Agriculture & Life Sciences and Texas A&M AgriLife. He holds administrative roles as Associate Vice President for Strategic Initiatives and is part of AgriLife Extension/Research divisions. His expertise spans insect behavior, chemical ecology, neurobiology, biological control, and integrated pest management. He earned a BSc (First Class Honors in Biology) from Federal University of Technology, Akure, Nigeria, and a PhD in Entomology from the University of Oxford. His research focuses on parasitoid biology, pest management strategies, and plant-insect-microbe interactions. Key projects involve optimizing biological control agents (e.g., Aprostocetus hagenowii), analyzing insect behavior via chemical cues, and developing sustainable pest control methods. Recent work highlights include 3D flight analysis of parasitoids, bacterial effects on insect larvae, and weather-driven pest emergence modeling. His articles emphasize parasitoid-host dynamics, chemical ecology applications, and agricultural biotechnology. He collaborates on projects addressing invasive species like the kudzu bug and explores plant growth-promoting rhizobacteria for crop resilience. Grants and strategic initiatives under his leadership target translational research in agroecology and pest management.

Stephen E. Gentمشاهده پروفایل

استاد

• Conflict Processes
• International Relations
• Formal Theory
• +۳ مورد دیگر

Stephen E. Gent is a Professor of Political Science at the University of North Carolina at Chapel Hill. He holds a B.A. from the University of Mississippi (1999), and M.A. and Ph.D. from the University of Rochester (2003, 2005). His research focuses on conflict processes, particularly the role of third parties in international and civil conflicts, and how economic competition drives territorial disputes. His influential 2021 book Market Power Politics examines how states pursue market dominance through conflict and mediation. Gent has also published widely in journals like the Journal of Politics and Journal of Conflict Resolution . Education : B.A., University of Mississippi, 1999 M.A., University of Rochester, 2003 Ph.D., University of Rochester, 2005 His research interests include mediation effectiveness, rebel group behavior, civilian victimization in war, and the strategic use of military intervention. He has received the 2022 Hedley Bull Prize in International Relations for his theoretical contributions. His work bridges formal theory, quantitative methods, and real-world case studies, with a focus on how power dynamics shape international conflict outcomes. Gent’s articles analyze topics like peace agreement durability, NGO accountability dilemmas, and the political economy of arbitration. His recent work addresses contemporary issues such as China’s South China Sea strategy and partisan polarization’s impact on U.S. foreign policy credibility. Awards : 2022 Hedley Bull Prize (European Consortium for Political Research) Grants/Advising : While specific grants are not detailed, his extensive publication record indicates sustained research funding. He has advised multiple students in political methodology and conflict studies, though explicit student names are not listed in available texts.

• Movement Ecology
• Evolutionary Biology
• Habitat Fragmentation
• +۶ مورد دیگر

Dr. Monique de Jager is a postdoctoral researcher at Utrecht University's Quantitative Biodiversity Dynamics (QBD) Group and holds guest researcher positions at the Ecology & Biodiversity Group (E&B) at Utrecht University and the Animal Ecology Group at the Netherlands Institute of Ecology (NIOO-KNAW). Her research focuses on eco-evolutionary dynamics, spatial modeling of movement strategies in plants and animals, and biodiversity conservation. She specializes in using computational models, including deep learning, to address ecological challenges such as habitat fragmentation and biodiversity loss. Education: PhD in Eco-evolutionary Feedbacks in Self-organized Ecosystems from the University of Groningen (2015). Research Interests: Movement ecology, evolutionary biology, spatial ecology, seed dispersal mechanisms, and the application of individual-based models to ecological systems. Her work bridges theoretical and applied ecology, addressing questions related to species dispersal, habitat connectivity, and conservation strategies. Recent Trends in Articles: Dr. de Jager's recent work explores critical transitions in dispersal strategies due to habitat fragmentation, optimal management practices for mitigating goose-related agricultural damage, and the role of spatial self-organization in mussel bed ecosystems. Her studies often integrate computational modeling with empirical data to predict ecological outcomes under environmental changes. Awards: Best-publication award (2011) for work on Lévy walks in Science. Second-best publication award (2014) for research on superdiffusion in Proceedings B. Collaborations: With Merel Soons on seed dispersal via water in streams. With Marijke van Kuijk on optimizing camera trap data analysis. With Bart Nolet on goose migration modeling. Labs/Teams: Quantitative Biodiversity Dynamics Group (QBD), Ecology & Biodiversity Group (E&B), and Animal Ecology Group (NIOO-KNAW).

Yan (Cindy) Sunمشاهده پروفایل

مدرس

• Wireless Network Protocols
• Mobile Ad Hoc Networks (MANET)
• Energy Efficiency in IoT
• +۳ مورد دیگر

Dr. Yan (Cindy) Sun is a Lecturer in Telecommunications at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on routing strategies for ad hoc wireless networks, energy efficiency in IoT systems, and cross-layer design for next-generation wireless networks. She teaches modules on Ad Hoc Networks and Telecommunications Systems, emphasizing protocols like TCP/F, MANET routing (DSDV/ABR/AODV), and wireless broadband access technologies. Research Interests: Optimized routing in heterogeneous wireless environments Energy-saving mechanisms for IoT devices Cross-layer protocol design for 5G/6G networks Her publications (2017-2023) address VANET privacy, game-theoretic intrusion detection, and mMTC network optimization. Active in both theoretical and applied research, she has contributed to eHealth systems integrating wearable sensors with IoT frameworks. Teaching responsibilities include modules taught in collaboration with BUPT (Beijing), covering information theory, queuing theory, coding principles, and wireless network fundamentals.

Julian Koplinمشاهده پروفایل

مدرس

• Bioethics
• Stem Cell Ethics
• Human Tissue Ethics
• +۶ مورد دیگر

Dr Julian Koplin is a Lecturer in Bioethics at Monash University's Monash Bioethics Centre. He previously held a Research Fellow position at the University of Melbourne (2018–2022). His research focuses on ethical implications of emerging technologies, including AI in healthcare, mitochondrial donation, human-animal chimeras, and organ allocation systems. Koplin has contributed to policy development through submissions to parliamentary inquiries on mitochondrial donation law reform and organ donation strategies. His work addresses cutting-edge bioethical dilemmas such as the moral status of brain organoids, ethical use of AI for consent processes, and governance of regenerative medicine. He leads projects exploring machine learning applications in embryo selection (funded 2022–2023) and epistemological issues in expertise (2014 Templeton Foundation grant). Koplin's interdisciplinary approach bridges philosophy, science, and public policy to address 21st-century biomedical challenges. Key contributions include analysis of AI text generation risks, critiques of organ market exploitation, and frameworks for evaluating human-animal chimera research. His work emphasizes balancing innovation with ethical responsibility, particularly in rapidly advancing fields like artificial intelligence and genetic engineering.

Sade Bonillaمشاهده پروفایل

استادیار

• Education Policy
• Higher Education Access
• Ethnic Studies
• +۳ مورد دیگر

Sade Bonilla is an Assistant Professor at the University of Pennsylvania's Graduate School of Education (Penn GSE) and Senior Research Specialist at the Consortium for Policy Research in Education. Her work focuses on education policies' transformative potential for marginalized youth, particularly in high school-to-college transitions and labor market readiness. She leads research-practitioner partnerships to generate actionable insights for schools and policymakers. Key research projects include the 'Cost-of-Living Grant Pilot on Community College Student Success' (funded by Arnold Ventures), examining financial aid's impact on completion rates and well-being, and a multi-site study on ethnic studies' effects on academic and social-emotional outcomes (funded by the Hewlett Foundation). She has held prestigious fellowships, including the 2019 Outstanding Predoctoral Fellow from IES and Spencer/NAEd Dissertation Fellowship (2018). Her recent work highlights barriers to postsecondary success, emphasizing mental health, financial stability, and structural inequities. Collaborations with institutions like Massachusetts community colleges and Bay Area districts demonstrate her commitment to real-world policy impact. Grants & Leadership: Principal Investigator for Arnold Ventures' financial aid study, Co-PI on Hewlett Foundation's ethnic studies research Community Engagement: Named inaugural Faculty Research Director for Penn GSE's Office of School and Community Engagement (2024) Her research teams utilize mixed methods, combining longitudinal data with student-centered qualitative insights to address systemic challenges in education equity.

• Communication Security
• Embedded Systems Security
• Design of Embedded Systems
• +۴ مورد دیگر

Alberto Ferrante is a Lecturer and Researcher at the Faculty of Informatics of the Università della Svizzera italiana (USI), affiliated with the IDSIA (Dalle Molle Institute for Artificial Intelligence) USI/SUPSI. His work bridges cybersecurity, embedded systems, and AI applications, particularly in IoT and pest control. He holds a PhD from Università degli Studi di Milano (2006) and an MSc from Politecnico di Milano (2002). Research Interests: Ferrante focuses on Secure communication protocols and embedded systems security Malware detection and resource-optimized hardware solutions Machine learning applications for IoT, including agricultural pest monitoring and healthcare diagnostics Cyber-physical systems design and security-enhanced embedded systems His publications emphasize practical implementations, such as AI-driven UAVs for pest control and low-power drone systems for environmental monitoring. He actively contributes to tech transfer projects with industry partners and participates in major conferences like ICC and Globecom as a TPC member. He teaches the Master’s course Edge Computing in the IoT and collaborates on hardware-software co-design for security-critical systems. His work often integrates real-world constraints like energy efficiency and computational resource limitations. Key contributions include frameworks for dynamic security adaptation in wireless sensor networks and hardware-accelerated security for embedded systems.

John Leeمشاهده پروفایل

استاد

• Oil and Gas Reserves
• Resources Evaluation
• Production Forecasting
• +۱ مورد دیگر

John Lee is a Professor and Regents Professor in the Harold Vance Department of Petroleum Engineering at Texas A&M University, holding the Kelly L. '87 and William D. '87 Von Gonten, Jr. Chair. A member of the National Academy of Engineering, his research focuses on reservoir engineering and carbon storage technologies. Dr. Lee's educational background includes a Ph.D. in Chemical Engineering from Georgia Institute of Technology. His current research investigates enhanced oil recovery, carbon sequestration optimization, and geomechanical responses during CO2 injection. Recent publications focus on machine learning applications for reservoir management and experimental studies on caprock integrity. His articles consistently address challenges in carbon storage engineering, with recent work developing co-optimization frameworks and pressure management strategies for CCS projects. Publication trends show increasing focus on geochemical monitoring and machine learning applications in reservoir characterization. Lee has received numerous honors including the DeGolyer Distinguished Service Medal and Anthony F. Lucas Gold Medal. His research team develops novel experimental methods to evaluate reservoir rock behavior under injection conditions.

• Distributed Systems
• Computer Networks
• Middleware
• +۱۳ مورد دیگر

Antonio Corradi is a Full Professor of Computer Networks and Infrastructures supporting Cloud and Big Data at the University of Bologna's School of Engineering, within the Department of Computer Science - Science and Engineering. His roles include President of the regional CLUSTER RER for service innovation, President of the Alma Mater FAM Foundation, and Director of the UNIBO High Studies Center in Buenos Aires. He previously served as Director of the DISI department (2018–2021) and International Delegate for Latin America (2014–2018). His research focuses on distributed systems, middleware for pervasive computing, cloud solutions, mobile systems, smart cities, Industry 4.0/5.0, and 5G communication standards. Education: Laurea cum laude in Electrical Engineering (University of Bologna, 1979) and a Master's in Computer Engineering from Cornell University (1981, supported by a Fulbright-Hayes grant). He joined the University of Bologna as a Researcher in 1983 and became Full Professor in 2000. Research interests span distributed/parallel systems, middleware for mobile agent systems, cloud computing, smart city monitoring, and Industry 4.0 protocols. He emphasizes QoS-aware solutions, edge computing, and IoT integration. His work includes designing frameworks for big geospatial data and novel architectures for serverless and fog computing environments. Selected scientific awards include the 1980 'Cavalieri del Lavoro' prize for his thesis. He actively contributes to institutional duties, including the CCIB (Computer Services Centre of the Engineering School) and CINI Bologna University Section (Italian Interuniversity Consortium). In advising and grants: He coordinates PhD programs and has led projects funded by MIUR, CNR, and European initiatives. Notable collaborations include industry grants with Jakala, OTConsulting, ENAV-Sicta, and the Zefiro Consortium. His projects address challenges in energy efficiency, smart manufacturing, and healthcare management during crises. Labs/Teams: Developed platforms like SOMA and REDMAN middleware. Involved in initiatives such as ParticipAct (mobile crowdsensing), COLOMBO (vehicular traffic monitoring), and the Audit4Cloud platform for cloud performance auditing.