جستجوی استاد راهنمای دانشگاهی

Simon Birrerمشاهده پروفایل

استادیار

• Cosmology
• Gravitational Lensing
• Dark Matter
• +۲ مورد دیگر

Simon Birrer is an Assistant Professor in Physics and Astronomy at Stony Brook University, specializing in cosmology and gravitational lensing. He holds a PhD from ETH Zurich (2016) and previously served as Kavli Fellow at Stanford University. Birrer leads research probing dark matter and dark energy using gravitational lensing phenomena. His group develops computational tools for analyzing strong gravitational lensing data to study cosmic expansion and dark matter distribution. Research areas include time-delay cosmography, Hubble constant measurements, and machine learning applications in astrophysics. Recent publications focus on multi-messenger gravitational lensing (2025), LSST survey applications (2025), and AI-powered lens modeling pipelines (2025). His work consistently addresses fundamental cosmological tensions like the Hubble constant discrepancy. Awards: Kavli Postdoctoral Fellowship (2019-2022) Kugelpyramide Lifetime Achievement Award Experimental Innovation Award (ETH Zurich) Research Group: Leads the SBU Strong Lensing group with 9+ graduate students and postdocs. The group participates in major collaborations including LSST Strong Lensing Science Collaboration (co-chair), LSST Dark Energy Science Collaboration, and TDCOSMO.

• Commutative Algebra
• Algebraic Geometry
• Hyperplane Arrangements
• +۴ مورد دیگر

Ştefan Tohăneanu is a Professor in the Department of Mathematics and Statistical Science at the University of Idaho , affiliated with the College of Science. His academic journey includes a Ph.D. in Mathematics from Texas A&M University (2007), and M.S. degrees in Algebra (2001) and Analysis (2001) from the University of Bucharest, where he also earned a B.S. in Mathematics (1997). Research Focus: Commutative Algebra, Hyperplane Arrangements, Matroid Theory, and applications to Coding Theory, including generalized Hamming weights, Orlik-Terao algebras, and homological properties of ideals. Publications: Recent work explores Betti numbers, Jacobian ideals, logarithmic derivations, and connections between algebraic invariants and coding theory problems like minimum distance computation and error correction. Collaborations: Engages with global research networks through affiliations with institutions such as Texas A&M University, University of Bucharest, and University of Idaho.

Nagi Gebraeelمشاهده پروفایل

استاد

• Predictive Analytics
• Machine Learning
• Prognostics and Health Management
• +۵ مورد دیگر

Professor Nagi Gebraeel serves as the Georgia Power Early Career Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology, where his research integrates predictive analytics, machine learning, and optimization for industrial IoT applications. His work focuses on real-time equipment diagnostics, prognostics, and operational decision-making in critical infrastructure systems. Education: Ph.D. in Industrial Engineering (2003), Purdue University M.S. in Industrial Engineering (1998), Purdue University Research Focus: Dr. Gebraeel develops statistical learning algorithms for IoT-enabled maintenance, repair, and operations (MRO), with emphasis on federated learning frameworks for distributed fault diagnosis and cybersecurity protection against Industrial Control System (ICS) attacks. His research spans manufacturing, power generation, and deep space habitats through NASA's HOME Space Technology Research Institute, where he pioneers self-aware habitat systems. Recent work addresses data heterogeneity in high-consequence industrial environments using causal-informed analytics. Publication Trends: His 2024-2025 publications demonstrate a strong trajectory toward distributionally robust optimization for maintenance logistics, federated learning architectures for distributed fault diagnosis, and prognostics for complex systems like offshore wind farms and industrial robots. Key themes include handling imbalanced data in fault diagnosis, state-space representations for interdependent systems, and cybersecurity integration in manufacturing networks. Awards and Recognition: NSF CAREER Award (2007) SAE Aircraft Electrical Power System Recognition Award (2008) SAE Materials Modeling and Testing Recognition Award (2006) IEEE-AUTOTESTCON Certificate (2006) Fellow of the Institute of Industrial and Systems Engineers Advising and Funding: Dr. Gebraeel mentors doctoral students including Michael Ibrahim (2025 IISE Best Student Paper winner), Heraldo Rozas (now Assistant Professor at University of Chile), Ayush Mohanty, and Nazal Mohamed. He secured a $500,000 NSF grant in August 2025 for AI-driven cybersecurity in distributed manufacturing networks and leads NASA-funded research on deep space habitat systems. His work bridges academic research with industry applications through Georgia Tech's Strategic Energy Institute collaborations. Research Infrastructure: He directs the Analytics and Prognostics Systems laboratory at Georgia Tech's Manufacturing Institute and leads the Predictive Analytics and Intelligent Systems (PAIS) research group. Previously, he served as associate director of Georgia Tech's Strategic Energy Institute (2014-2019), fostering data science applications in energy systems.

Zhenman Fangمشاهده پروفایل

دانشیار

• Customizable Computing
• Heterogeneous Computing
• FPGA Acceleration
• +۸ مورد دیگر

Dr. Zhenman Fang is an Associate Professor at the School of Engineering Science , Simon Fraser University (SFU) , where he founded and directs the HiAccel Lab . He also holds an associate membership in the School of Computing Science at SFU. His research focuses on customizable computing with software-defined hardware acceleration , addressing performance, energy-efficiency, and reliability in post-Moore’s law computing across domains like machine learning , big data analytics , quantum chemistry , and precision medicine . Education: Ph.D. in Computer Science from Fudan University (2014), with a visit to University of Minnesota during his studies. Postdoctoral Work: University of California, Los Angeles (UCLA) (2014-2017). Industry Experience: Staff Software Engineer at Xilinx (2017-2019). Dr. Fang’s research spans the entire computing stack , including application characterization , accelerator-rich architecture design , and programming/tool support . He has developed frameworks like HiSpMV , SyncNN , and SQL2FPGA , emphasizing FPGA acceleration for vision transformers , quantum chemistry , and spiking neural networks . His work has been recognized with 3 best paper awards (FPL 2024, TCAD 2019, MEMSYS 2017) and 3 best paper nominees (FCCM 2025, HPCA 2017, ISPASS 2018). Recent publications highlight trends in low-precision machine learning ( ShiftQuant , ESRU ), quantum chemistry acceleration ( SERI ), and vision transformer optimization ( Quasar-ViT ). His HiAccel Lab actively mentors PhD and MASc students , with notable graduates like Alec Lu (PhD 2024, now at Meta) and Philip Stachura (MASc, now with BC Graduate Scholarship). Scientific Awards: Inaugural SFU Research Excellence Award - Horizon Award (2025) FPL 2024 Stamatis Vassiliadis Best Paper NSERC Alliance Award (2020) CFI JELF Award (2019) Xilinx University Program Award (2019) IEEE Senior Member (2023) Grants: NSERC Discovery Grant (2019) CFI JELF Funding (2019) Huawei and Xilinx sponsorships Dr. Fang leads open-source initiatives like SyncNN , PASTA , and SQL2FPGA , and serves as General Chair for ASAP 2025 and Program Co-Chair for RAW 2025 . His lab collaborates globally with institutions such as UCLA , Northeastern University , and Xidian University .

Ronald J. Colomboمشاهده پروفایل

استاد

• Corporate Law
• Securities Regulation
• Financial Regulation
• +۷ مورد دیگر

Ronald J. Colombo is Professor of Law and Associate Dean for Distance Education at Hofstra University's Maurice A. Deane School of Law. He teaches courses in Business Organizations, Securities Regulation, Contracts, and corporate law seminars. He has been on the faculty since 2006 and previously served as Associate Dean for Academic Affairs (2013–2015). Education: JD, New York University School of Law (magna cum laude, Order of the Coif), 1998 BS, Cornell University, 1994 Clerkship: Judge Jerry E. Smith, U.S. Court of Appeals for the Fifth Circuit Professor Colombo’s research focuses on corporate law, securities regulation, financial regulation, and the constitutional rights of corporations, especially First Amendment protections. His work explores the moral and philosophical underpinnings of corporate personhood, religious liberty in business, and the role of trust in financial systems. He is particularly known for bridging legal doctrine with ethical and theological perspectives. His recent scholarly publications reveal a strong thematic trend: the intersection of religion, corporate governance, and constitutional law. He has also contributed to legal education, especially in online teaching methodologies, and continues to publish on financial regulation and corporate ethics. Scientific Awards: Stessin Prize for Outstanding Scholarly Publication Lawrence A. Stessin Prize for Outstanding Scholarly Publication (2008) Professor Colombo has been actively involved in professional service, including serving on the editorial review board of the Review of Business and as an arbitrator for the Financial Industry Regulatory Authority (FINRA). He has not listed any formal research grants or PhD students, but his influence extends through media engagement—quoted in The New York Times , Wall Street Journal , and Bloomberg —and through his widely read op-eds in The Financial Times and Huffington Post . He has held leadership roles in academic administration and is a recognized expert in both practitioner and scholarly legal communities. His treatise Law of Corporate Officers and Directors is republished annually by Thomson Reuters, indicating sustained scholarly and practical impact.

Christopher R. Berryمشاهده پروفایل

استاد

• American Politics
• Metropolitan Governance
• Municipal Finance
• +۲ مورد دیگر

Christopher R. Berry is the William J. and Alicia Townsend Friedman Professor at the Harris School of Public Policy and the College at the University of Chicago, and Director of the Mansueto Institute for Urban Innovation. He also served as the inaugural director of the Center for Municipal Finance. His research focuses on American politics, metropolitan governance, municipal finance, and intergovernmental fiscal relations. Notably, his book *Imperfect Union* won the APSA Best Book Award in Urban Politics. Key affiliations include the American Academy of Arts and Sciences. His work has been featured in major media outlets like the *New York Times* and *Last Week Tonight with John Oliver*. His research often intersects property tax fairness, urban policy, and the effects of leadership in politics and sports. His awards reflect his scholarly impact, including the APSA Urban Politics award and membership in the American Academy of Arts and Sciences. His research extends to leadership studies, as seen in collaborations analyzing coach effects in professional sports.

Marilyn J Smithمشاهده پروفایل

استاد

• Unsteady Aerodynamics
• Computational Aeroelasticity
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Marilyn J Smith is the David S. Lewis Professor and Director of the Vertical Lift Research Center of Excellence (VLRCOE) at the Georgia Institute of Technology's Daniel Guggenheim School of Aerospace Engineering. She leads a seven-university consortium conducting vertical lift research for the U.S. Army, Navy, and NASA, and has secured over $200 million in collaborative research funding. Computational Nonlinear Computational Aeroelasticity Lab Director NASA FUN3D development team contributor Aerospace Systems Design Lab (ASDL) affiliate Her research spans unsteady aerodynamics, computational aeroelasticity, and sustainable energy applications across rotary-wing, fixed-wing, and launch vehicles. She serves on the Vertical Lift Consortium (VLC) Board of Directors and Vertical Flight Society (VFS) Board, while acting as VFS Deputy Technical Director for Aeromechanics and leading international NATO AVT panels on UAV aerodynamics. Recent publications focus on galaxy cluster cosmology, ship-helicopter dynamic interface modeling, and Type Ia supernova analysis. She has won prestigious awards including the AIAA Aerodynamics Award and multiple American Helicopter Society honors for research, mentoring, and service. 2022 AIAA Aerodynamics Award 2015 Best Paper Awards at AHS Forum 2014 & 2012 AHS Agusta-Westland International Fellowships Her laboratory work integrates high-performance computing with aerospace design and develops advanced turbulence models through partnerships with Georgia Tech Research Institute (GTRI). She contributes to public science communication with appearances on National Geographic, PBS, NPR, and local media.

Sascha Struweمشاهده پروفایل

پژوهشگر ارشد

• Service Innovation
• Service Design
• Value Co-Creation
• +۴ مورد دیگر

Sascha Struwe serves as a Postdoctoral Researcher at Aalborg University Business School within the Faculty of Social Sciences and Humanities, actively contributing to the International Business Research Group. Based at Fibigerstræde 11 in Aalborg Øst, Denmark, Struwe operates at the intersection of service innovation theory and business practice with international focus. Research expertise centers on service innovation , value co-creation , and digital servitization , particularly examining B2B contexts and open banking ecosystems. Work consistently explores institutional influences through German-Chinese case studies, addressing how cultural and regulatory frameworks shape service design. Recent trajectories reveal evolution from foundational service design challenges (2019-2021) toward digital transformation implications (2022-2023), with emphasis on value co-destruction mechanisms in financial ecosystems. Struwe led the PhD project Innovating the Invisible and Intangible: Value Creation in B2B service (2018-2021) investigating co-creation capabilities across industrial sectors. Academic engagement includes conference participation at EIBA and CICALICS events, plus a visiting researcher appointment at Fudan University's Nordic Centre (2019-2020). Current work continues through the International Business Research Group, focusing on digital literacies and service ecosystem resilience.

Kris Beattieمشاهده پروفایل

مدرس

• Exercise Physiology
• Strength Training
• Endurance Athletes
• +۳ مورد دیگر

Dr. Kris Beattie is a Lecturer in the Department of Sport and Health Science at Technological University Dublin (TU Dublin). He specializes in sports science education, coordinating modules such as Human Physiology 2, Sport & Exercise Physiology, and Applied Coaching Science. His research focuses on the physiological adaptations of strength, speed, and endurance training in athletes, particularly in endurance athletes and combat sports like boxing. Beattie holds a PhD from the University of Limerick (2012–2016), an MSc in Sports Physiology from Liverpool John Moores University (2008–2009), and a BSc (Hons) in Sport and Exercise Sciences from Ulster University (2005–2008). He is a UKSCA-accredited Strength & Conditioning coach. Beattie’s research interests include strength training modalities for sprint performance, physiological adaptations in Gaelic football and boxing, and the biomechanics of athletic movements. His work bridges theoretical and applied aspects of sports science, emphasizing practical applications in coaching and athlete development. Recent studies explore sprint testing methods in Gaelic games, strength characteristics of female athletes, and the role of maximal strength in punch impact force in boxing. His publications span peer-reviewed journals like the International Journal of Performance Analysis in Sport and Journal of Strength and Conditioning Research , with a focus on systematic reviews and empirical studies. Though no specific awards are listed, his h-index of 7 reflects growing recognition in sports physiology. Beattie actively collaborates with sports organizations and coaches to inform evidence-based training practices. He currently contributes to TU Dublin’s BSc (Hons) Sports Science with Exercise Physiology program, integrating his research into teaching. Future work likely continues exploring interdisciplinary approaches to athlete development and performance optimization.

• Voltage instability prediction
• Electricity markets
• Stochastic optimization
• +۵ مورد دیگر

Professor Gregor Verbic is a faculty member at the University of Sydney in the School of Electrical and Computer Engineering , where he serves as Director of the Centre for Future Energy Networks . Previously, he held an assistant professor position at the University of Ljubljana and was a NATO-NSERC Postdoctoral Fellow at the University of Waterloo. His career spans academic research, industry leadership as Head of Interenergo's Investment Department, and extensive collaboration with IEEE. PhD in Electrical Engineering (University of Ljubljana) Senior IEEE Member Research Interests focus on transforming power systems to zero-carbon grids through: Aggregation and control of distributed energy resources (DERs) Frequency control with wind generation and electric vehicles Stochastic optimization for multi-energy systems Smart home energy management with phase change materials Notable Contributions include: 2006 IEEE prize paper for voltage instability prediction 2010-2024: 15 recent publications on DER coordination, network tariffs, and low-inertia grid stability Teaching includes courses on: ELEC3203/ELEC9203: Electricity Networks ELEC5213: Engineering Optimisation ELEC5206: Sustainable Energy Systems Labs & Initiatives Centre for Future Energy Networks The Net Zero Institute

• HVDC systems
• Power system protection
• Converter modelling
• +۳ مورد دیگر

Sahar Pirooz Azad is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Waterloo. She holds a PEng designation and specializes in power systems engineering, particularly in HVDC systems and grid stability. Previously, she served as an Assistant Professor at the University of Alberta (2015–2017) and conducted postdoctoral research at the University of Toronto’s CAPE Centre and KU Leuven in Belgium. Her research focuses on enhancing power grid stability through advanced control schemes for HVDC grids, converter modeling, and fault protection mechanisms. Dr. Azad’s work addresses challenges in multi-terminal HVDC systems, offshore wind grid integration, and multi-vendor system compatibility. She has taught courses like Power System Protection and Relaying (ECE 765) and Electromechanical Energy Conversion (ECE 260), reflecting her expertise in both theoretical and applied electrical engineering. Her recent publications emphasize innovative protection schemes for HVDC grids, fault detection algorithms using signal processing (e.g., Hilbert-Huang Transform), and robust controller designs for multi-vendor VSC systems. These contributions aim to improve grid reliability, fault resilience, and renewable energy integration efficiency. Dr. Azad is actively recruiting graduate students and holds Sole-Supervisory Privilege Status (SSPS) at Waterloo. Her research has been supported by European Commission-funded projects like MEDOW and leverages interdisciplinary approaches to tackle modern grid challenges.

Yuxin Chenمشاهده پروفایل

استاد

• statistics
• optimization
• reinforcement learning
• +۵ مورد دیگر

Yuxin Chen is a Professor at the University of Pennsylvania , holding joint appointments in the Department of Statistics and Data Science and the Department of Electrical and Systems Engineering . Prior to UPenn, he was an Assistant Professor at Princeton University (2017-2021) and a Postdoctoral Researcher at Stanford University (2015-2017). His research spans statistics, optimization, reinforcement learning theory, diffusion models, and information theory , with a focus on theoretical foundations and practical algorithms for machine learning. Education : Ph.D. in Electrical Engineering (Stanford, 2015), M.S. in Statistics (Stanford, 2013), M.S. in Electrical and Computer Engineering (UT Austin, 2010), B.E. in Electrical/Microelectronics (Tsinghua, 2008). Research Interests encompass theoretical and applied aspects of machine learning, including nonconvex optimization , sample complexity analysis , low-dimensional adaptation , and generative modeling . His work bridges mathematical rigor with real-world applications, particularly in scientific imaging and high-dimensional data analysis. Scientific Awards include the SIAM Activity Group on Imaging Science Best Paper Prize (2024) Alfred P. Sloan Fellowship (2022) NSF Career Award (2022) Google Research Scholar Award (2022) IEEE Transactions on Power Electronics Prize Paper Award (2024) Advising and Grants : He has mentored numerous students who have transitioned to academic roles at institutions like UIUC and UW-Madison. His research is supported by grants from the NSF , Amazon , and Google , with recent projects focusing on controllable diffusion models and efficient reinforcement learning algorithms .

• Human Resource Management
• Organisational Studies
• Performance Management
• +۵ مورد دیگر

Professor John Shields is a distinguished academic in Human Resource Management and Organisational Studies at the University of Sydney’s Business School. He holds a BA(Hons) from ANU and a PhD from the University of Sydney. As Academic Director International, he oversees global strategies for the Business School’s international partnerships and recruitment. His roles have included Associate Dean (Programs), Deputy Dean, and Chair of the Faculty Board, reflecting his extensive leadership within the institution. In research, Shields focuses on performance management, reward systems, corporate governance, and international education. He co-authored seminal textbooks like *Managing Employee Performance and Reward* and *Human Resource Management: Strategy and Practice*. Current projects explore performance management transformation, pay secrecy disclosure, and gaming’s psychological impacts. His teaching spans undergraduate and postgraduate courses such as Strategic HRM and Global Leadership. Shields has supervised over a dozen PhD students, with topics ranging from Saudi Arabian workplace dynamics to corporate governance in Australian firms. Recognized with the 2008 Wayne Lonergan Teaching Award, he actively contributes to professional bodies like the Australian Human Resources Institute. Publications highlight his influence in HRM theory and practice, including studies on CEO remuneration, board capital, and pandemic-era worker resilience. His interdisciplinary work bridges organizational behavior, economics, and policy, positioning him as a key figure in contemporary HRM research.

Cindy Stewardمشاهده پروفایل

استادیار بالینی

• Financial Reporting Standards
• International Financial Reporting Standards (IFRS)
• Accounting Compliance
• +۳ مورد دیگر

Cindy Steward is a Clinical Assistant Professor of Accountancy at the University of Illinois at Urbana-Champaign's Gies College of Business. She holds dual roles in academia and industry, having previously served as Director of Global Reporting at Archer Daniels Midland Company (2013-2019) and held leadership positions at Illinois Power Company (1980-2000). She earned a B.S. in Accountancy (Highest Honors) from the University of Illinois in 1980 and an MBA from Illinois State University in 2006. Her teaching focuses on advanced financial reporting standards, IFRS, and derivatives accounting. Current courses include ACCY 410 (Advanced Financial Reporting) and ACCY 510 (Financial Reporting Standards), emphasizing critical thinking in accounting policy selection and transaction disclosure. Her professional presentations address challenges in implementing new accounting standards and improving financial transparency. She received the 2019-20 Dean’s Impact Award for her contributions to the Gies College of Business. Her career includes extensive experience in regulatory reporting, compliance, and strategic accounting projects spanning over three decades.

Samuel Chengمشاهده پروفایل

دانشیار

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +۴ مورد دیگر

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.