جستجوی استاد راهنمای دانشگاهی

Annalisa Maneraمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +۵ مورد دیگر

Prof. Annalisa Manera is a Full Professor at ETH Zurich's Department of Mechanical and Process Engineering since July 2021, specializing in nuclear systems and multiphase flows. Previously, she held a professorship at the University of Michigan's Nuclear Engineering Department from 2011 to 2021. Her research focuses on advanced experimental techniques for single-phase and multiphase flows, high-resolution CFD validation, and computational tools for nuclear systems. She co-directs the Experimental and Computational Multiphase Flow (ECMF) Lab and the High Resolution Imaging Lab. Education: M.Sc. in Nuclear Engineering (University of Pisa, summa cum laude) and Ph.D. in Nuclear Engineering (Delft University of Technology). Awards include the ANS Bal-Raj Sehgal Memorial Award (2022) and the US DOE CASL Director’s Award (2016), alongside being an American Nuclear Society Fellow. Her work bridges nuclear safety, thermal-hydraulics, and computational modeling, with contributions to polaron physics, electron-phonon interactions, and material simulations. Courses taught include Nuclear Energy Conversion and Beyond-Design-Basis Safety.

Christopher O'Donnellمشاهده پروفایل

استاد

• Productivity and Efficiency Analysis
• Econometrics
• Agricultural Economics
• +۵ مورد دیگر

Christopher O'Donnell is a Professor of Econometrics at the University of Queensland's School of Economics. He holds a PhD from the University of Sydney and has held academic leadership roles including Director of the Centre for Efficiency and Productivity Analysis. His research focuses on productivity and efficiency analysis, econometric methods, and their applications in agriculture, public policy, and environmental economics. Education: PhD (University of Sydney), MCom (University of New South Wales), BAgEc (Hons) (University of New England). Research interests include economic and statistical methods for measuring productivity changes, stochastic frontier analysis, and metafrontier frameworks. He has authored/co-authored three books and over 80 journal articles, with notable contributions in the American Journal of Agricultural Economics , Journal of Econometrics , and European Journal of Operational Research . Scientific awards include being a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His work has been applied in sectors like healthcare, fisheries, and public utilities through collaborations with organizations such as the World Bank and Asian Productivity Organization. Key projects include measuring agricultural productivity in China, analyzing hospital efficiency, and evaluating climate impacts on farming. Grants include studies on productivity measurement in Australian universities and Northern Grains Region farms. Labs/Teams: Former Director of the Centre for Efficiency and Productivity Analysis, collaborating with global institutions on productivity benchmarking and policy analysis.

Mark Bockoمشاهده پروفایل

استاد

• Audio and Acoustic Signal Processing
• Computer Audition
• Sensors and Transducers
• +۳ مورد دیگر

Mark Bocko is a Distinguished Professor of Electrical and Computer Engineering at the University of Rochester, affiliated with the Hajim School of Engineering & Applied Sciences. He holds roles as Director of the Center for Emerging and Innovative Sciences (CEIS) and Director of Audio & Music Engineering. He earned his PhD in Physics from the University of Rochester in 1984, focusing on gravitational wave detectors. His research spans audio signal processing, sensors, superconductivity, and quantum computing. Notable contributions include flat-panel loudspeaker development, non-contact ECG sensors, and quantum coherence studies in Josephson junctions. Research interests include audio and acoustic signal processing, computer audition, and sensor technologies. His work integrates interdisciplinary approaches, combining electrical engineering, physics, and computer science. Awards include the 2012 Goergen Award for Teaching and Mercer Brugler Distinguished Teaching Professor (2008–2011). Recent publications address modal crossover networks for loudspeakers, vibrational touch sensing, and room impulse response modeling. He has advised PhD students on topics like spatial audio rendering and musical vibrato analysis. His labs focus on advancing audio engineering and smart sensor systems through collaborative industry partnerships.

Susanna Thonمشاهده پروفایل

دانشیار

• Renewable Energy Conversion
• Photovoltaics
• Nanomaterials Engineering
• +۵ مورد دیگر

Susanna Thon is an Associate Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. She serves as Associate Director of the Ralph O’Connor Sustainable Energy Institute (ROSEI) and a member of the Data Science and AI Institute. Her research focuses on nanomaterials engineering for optoelectronic devices, emphasizing solar energy conversion and sensing. Notable areas include plasmonic-photocatalytic systems using aluminum nanoparticles and nanostructured materials like colloidal quantum dots for next-generation devices. Thon holds a BSc from MIT (2005) and MSc/PhD in Physics from UC Santa Barbara (2008/2010). She joined JHU in 2013 after postdoctoral work at the University of Toronto. Her work is funded by agencies such as the NSF, U.S. Army, and Maryland Energy Innovation Institute. She has published over 50 peer-reviewed papers and received JHU’s Catalyst and Discovery awards. Key research projects include developing plasmonic systems to enhance light absorption in titanium dioxide and creating scalable fabrication techniques for optoelectronic materials. Thon’s team also advances quantum dot solar cells and novel characterization methods for energy materials. She actively participates in professional societies, including the Optical Society of America and IEEE. Her grants and collaborations aim to train the next generation in sustainable energy research, with recent initiatives funded through NSF and Space@Hopkins seed grants. Thon’s lab integrates nanophotonics, materials science, and machine learning to address global energy challenges.

Thijs Broekhuizenمشاهده پروفایل

دانشیار

• Innovation Adoption
• Value Appropriation
• Digital Business Models
• +۹ مورد دیگر

Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.

Preet Singhمشاهده پروفایل

استاد

• Corrosion Science
• Electrochemistry
• Metals and Alloys
• +۵ مورد دیگر

Preet Singh is a Professor and Associate Chair for Graduate Studies in the School of Materials Science and Engineering at Georgia Tech, with affiliations to the College of Engineering. His research focuses on corrosion science, electrochemistry, and environmental degradation of materials, particularly metals and alloys. Prior to joining Georgia Tech in 2003, he was a faculty member at the Institute of Paper Science and Technology (IPST), where he investigated corrosion issues in the pulp and paper industry. Professor Singh's work explores fundamental mechanisms of material degradation in industrial environments, aiming to develop mitigation strategies against environment-induced failures. Key research areas include corrosion fatigue, hydrogen embrittlement, stress corrosion cracking, and oxidation behavior. His group employs experimental approaches to study material reliability under varying chemical and mechanical conditions. Recent publications demonstrate interdisciplinary collaboration across oncology, agriculture, and energy systems, reflecting broad applications of materials science principles. Research trends show increased focus on biomedical materials and sustainable technologies alongside core corrosion studies. Professor Singh advises graduate students including Abdullah Alzubail, Yousif Al Rabie, Sai Shreeya, Yara, and Sean Li. He directs the Corrosion and Materials Reliability Laboratory (CMCRL), which partners with industry to solve practical engineering challenges related to material performance.

Srdjan Lukicمشاهده پروفایل

استاد

• Power Electronics
• Power Systems
• Electric Vehicle Charging
• +۳ مورد دیگر

Srdjan Lukic is the Deputy Director of the FREEDM Systems Center and a Distinguished Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on power electronics, power systems, and electric vehicle infrastructure. He holds a Ph.D. in Electrical Engineering from the Illinois Institute of Technology (2007). His work emphasizes high-power converters, DC microgrids, and extreme fast charging (XFC) technologies for electric vehicles. Recent projects include the development of a 13.2 kV solid-state transformer for EV XFC stations and resilient distributed control frameworks for smart grids. He has contributed to wireless charging systems and modular medium-voltage fast chargers. Key Awards: University Faculty Scholars (2022) Grants: DOE-funded XFC projects, modular EV charging infrastructure Labs/Teams: FREEDM Systems Center, RIAPS control architecture development Publications highlight innovations in microgrid control, power electronics modeling, and privacy-preserving distributed systems. His work addresses grid resilience, cyber-physical integration, and high-efficiency energy conversion.

Jiang Huمشاهده پروفایل

استاد

• VLSI Design Automation
• Hardware Security
• Machine Learning Applications
• +۳ مورد دیگر

Jiang Hu is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Eric D. Rubin '06 Endowed Professorship. He also serves as Co-Director of Graduate Programs and is affiliated with the Computer Science & Engineering department. His research focuses on VLSI design automation, machine learning applications, and hardware security. He has held roles as editor for IEEE Transactions on CAD and ACM Transactions on Design Automation, and chaired the 2012 ACM International Symposium on Physical Design. Education: B.S. in Optical Engineering (Zhejiang University, 1990), M.S. in Physics (1997), and Ph.D. in Electrical Engineering (University of Minnesota, 2001). He worked at IBM Microelectronics before joining Texas A&M in 2002. Research interests include energy-efficient VLSI circuits, on-chip communication fabrics, analog layout automation, and AI-driven EDA. Recent work emphasizes machine learning for design closure, privacy-preserving frameworks, and systolic array-based architectures. Awards: IEEE Fellow (2016) Humboldt Research Fellowship (2012) Multiple best paper awards at DAC, ICCAD, and ASPDAC Advising and grants: Leads initiatives like the SLICE project, NSF workshops on ML-EDA infrastructure, and serves as Editor-in-Chief of ACM TODAES since 2024. His work bridges academic research and industry applications in EDA and semiconductor design. Labs/Teams: Active contributor to open-source tools like ALIGN for analog layout generation and collaborations on machine learning for EDA commons.

Jing Liمشاهده پروفایل

دانشیار

• Computer Architecture
• Compiler Design
• Distributed Systems
• +۷ مورد دیگر

Dr. Jing Li is an Associate Professor and Eduardo D. Glandt Faculty Fellow at the University of Pennsylvania , holding dual appointments in the Electrical and Systems Engineering and Computer and Information Science departments. As co-director of the CyberSavvy nationwide security research center and director of the Penn Computational Intelligence Lab (PennCIL) , she pioneers innovations in non-von Neumann computing paradigms. Her research spans post-CMOS technologies, in-memory computing, and hardware-software co-design for security and AI applications. PhD in Computer Engineering, Purdue University (2009) BSc in Electrical Engineering, Shanghai Jiaotong University (2004) Research Focus: Dr. Li's work addresses fundamental challenges in computer systems across the stack. Key areas include: In-Memory Computing: Liquid Silicon architecture combining RRAM with silicon CMOS through monolithic 3D integration Security Engineering: Transforming computer security from "Art" to formal "Engineering" discipline within CyberSavvy Virtualization: Cloud FPGA abstraction layers decoupling compilation from runtime resource management Graph Analytics: Degree-aware optimization techniques for massive-scale graph processing Deep Learning Systems: Roofline model extensions for FPGA-based CNN acceleration Scientific Impact: Awarded DARPA Young Faculty Award , NSF CAREER Award , and IBM CEO Milestone Award , her team has achieved world records in energy-efficient computing (ENIAD supercomputer). With 46 U.S. patents and over 80 publications, she leads ecosystem development for emerging computing architectures through initiatives like the open-source MEG simulation platform . Community Leadership: Dr. Li serves on program committees for flagship conferences ( ISCA , FPGA Symposium ), chairs the International Memory Workshop , and contributes to the MLsys conference's inaugural committee. She actively mentors through multiple PhD openings and industry collaborations.

Celeste Saguiمشاهده پروفایل

استاد

• Computational Biophysics
• Biomolecular Simulations
• Free Energy Methods
• +۵ مورد دیگر

Celeste Sagui is a Professor in the Department of Physics at North Carolina State University (NC State), affiliated with the College of Sciences. She holds additional roles as a faculty affiliate in Genomics Sciences at NC State and is a member of the Center for High Performance Simulation. Her research focuses on computational biophysics, biomolecular simulations, and free energy methods applied to nucleic acid structures, protein dynamics, and nanotechnology systems. She has contributed to the AMBER simulation package development, co-authoring versions from 10 to 14. Education: Doctorate in Physics, University of Toronto (1995) Licentiate degree, National University of San Luis, Argentina Research Interests: Sagui’s work explores DNA/RNA structure and phase transitions, electrostatic interactions, and methodologies for large-scale molecular simulations. Recent studies include nucleic acid hairpin instabilities linked to neurodegenerative diseases, polyglutamine aggregation mechanisms, and novel DNA motifs like the eGZ structure in Z-DNA. She employs quantum chemistry, density functional theory, and phase-field models to investigate systems ranging from biomolecules to nanomaterials. Publications: Her recent work emphasizes nucleic acid dynamics, free energy landscapes, and computational methods for studying diseases such as Friedreich’s ataxia and polyglutamine disorders. Key contributions include advancements in laser-driven simulations and infrared spectroscopy analysis of protein structures. Labs/Teams: Active in the Center for High Performance Simulation, focusing on high-throughput computational modeling and collaborative software development for biomolecular research.

• Visual Analytics
• Information Visualization
• Geographic Information Science
• +۷ مورد دیگر

Jo Wood is Professor of Visual Analytics in the Department of Computer Science at City, University of London, where she has been employed since January 14, 2000. Her work bridges computer science, geographic information science, and human-computer interaction, focusing on innovative methods for visualizing complex spatial and behavioral data. Her research interests center on visual analytics , information visualization , and geovisualization , with applications in transportation, public health, crisis response, and citizen science. She investigates how interactive visual interfaces can support exploratory data analysis, decision-making, and storytelling, particularly through small multiples, faceted views, and sketch-based rendering techniques. The trends in her recent publications reflect a consistent focus on user-centered design , spatial data abstraction , and interactive exploration of multivariate datasets. Her work often integrates real-world behavioral data such as GPS tracks, cycling patterns, and crowd-sourced information to build meaningful visual narratives and support analytical reasoning. Throughout her career, Jo Wood has contributed significantly to the advancement of visual analytics through high-impact publications in top-tier venues such as IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Her collaborations with researchers like Jason Dykes and Aidan Slingsby highlight her role in a vibrant research community. She has supervised numerous research projects and mentored students in visualization and geospatial analytics, though specific names are not listed in the provided text. Her work has been supported by various research grants, particularly in domains involving urban mobility, energy modeling, and crisis informatics, though grant details are not specified here. Jo Wood has also contributed to the design of visual analytics systems for applications including disease spread modeling, bicycle-hire scheme monitoring, and persuasive technology for health and leisure, demonstrating a strong commitment to impactful, interdisciplinary research.

Chengyong Xiaoمشاهده پروفایل

دانشیار

• Sustainable Supply Chain Management
• Corporate Social Responsibility
• Supply Chain Sustainability
• +۳ مورد دیگر

C. (Chengyong) Xiao is an Associate Professor of Sustainable Supply Chain Management at the University of Groningen's Faculty of Economics and Business. He holds a BSc in Management Science from the University of Science and Technology of China (2010) and a PhD in Operations Management from the University of Groningen (2019). His research focuses on sustainable supply chains, particularly the extension of sustainability standards in global supply chains, corporate social responsibility, and social enterprises. Education: Bachelor's Degree: Management Science, University of Science and Technology of China (2010) PhD: Operations Management, University of Groningen (2019) Research Interests: Global supply chain sustainability Supplier sustainability capability development Corporate social responsibility and stakeholder engagement Case study and mixed-method research methodologies Awards: Chan Hahn Best Paper Award (2020 AOM Conference) Teaching and Editorial Roles: Teaches courses including Global Supply Chain Management & Sustainability, Management Science, and Operations & Logistics Management Editorial board member of the Journal of Supply Chain Management and Journal of Operations Management Collaborations: Partnerships with multinational companies like Philips and Signify to study supply chain sustainability practices

Anandadeep Mandalمشاهده پروفایل

دانشیار

• Digital Finance
• Financial Technology
• Artificial Intelligence in Finance
• +۱۲ مورد دیگر

Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.

Kürşat Aydoğanمشاهده پروفایل

استاد

• Corporate Finance
• Asset Pricing
• Emerging Markets
• +۴ مورد دیگر

Kürşat Aydoğan is a Professor of Finance and currently serves as the Rector of Bilkent University. He holds a B.S. in Management from Middle East Technical University (1979), an MBA (1980), and a Ph.D. in Finance from Syracuse University (1986). His career includes teaching positions at Ball State University, Middle East Technical University, and Michigan State University, alongside a 13-year tenure as Dean of Bilkent’s Faculty of Business Administration (1991–2004). He has also consulted for the Central Bank of Turkey’s Research Department (1988–1993). His research focuses on corporate finance, asset pricing, and emerging markets, with notable contributions to banking sector analysis, market efficiency, and financial intermediation. His work bridges theoretical finance and practical market dynamics, particularly in Turkish and OECD contexts. His publications span topics such as stock market reactions to corporate actions, cross-sectional stock returns, and the interplay between banking and real sectors. His articles often address emerging markets’ unique challenges, offering insights into policy and institutional frameworks. His career reflects a blend of academic leadership, administrative roles, and impactful empirical research.

Shuran Songمشاهده پروفایل

استادیار

• Computer Vision
• Robotics
• Robot Learning
• +۴ مورد دیگر

Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. Previously, she was faculty at Columbia University. She holds a Ph.D. in Computer Science from Princeton University and a BEng from HKUST. Her research focuses on the intersection of computer vision and robotics, particularly in embodied AI, robot manipulation, and sensorimotor learning. Song's work emphasizes learning from physical interactions to enable robots to perform complex tasks autonomously. She leads the Robotics and Embodied AI Lab (REAL@Stanford) and has received prestigious awards, including the NSF Career Award, Sloan Fellowship, and Microsoft Faculty Fellowship. Education: Ph.D., Computer Science, Princeton University; BEng, HKUST Affiliations: Stanford School of Engineering, Department of Electrical Engineering Research interests include deformable object manipulation, visuomotor policy learning, and generalizable robot skills. Her lab develops algorithms for robots to learn through interaction, with applications in household assistance (e.g., TidyBot) and industrial automation. Notable contributions include the TossingBot and Diffusion Policy frameworks. Publications span robotics, computer vision, and AI conferences (RSS, ICRA, CVPR), focusing on policy learning, deformable object handling, and embodied intelligence. Awards highlight her impact in advancing robot learning and perception. Advises doctoral and master's students in robotics and AI, and collaborates on grants from NSF, DoD, and industry partners. Teaches courses on robot perception and embodied AI at Stanford.