جستجوی استاد راهنمای دانشگاهی

John M. Nichol is an Assistant Professor in the Department of Physics and Astronomy at the University of Rochester, where he has conducted experimental quantum research since 2016 following postdoctoral work at Harvard University. His work bridges fundamental quantum mechanics and applied quantum computing development. Education: B.A. in Physics, St. Olaf College (2006) Ph.D. in Physics, University of Illinois at Urbana-Champaign (2013) Postdoctoral Associate, Harvard University Nichol's research centers on experimental quantum information processing using semiconductor nanostructures, with primary focus on electron spin qubits in quantum dots. His lab investigates quantum coherence mechanisms, develops noise-resilient control protocols for spin qubits, and explores quantum information transfer across spin chains. Key initiatives include engineering novel materials for extended qubit lifetimes, implementing dynamical decoupling techniques to combat decoherence, and studying many-body quantum phenomena in engineered spin systems. This work directly addresses scalability challenges in solid-state quantum computing. Analysis of Nichol's 2021-2025 publications reveals dominant themes in semiconductor spin qubit optimization, with 80% of papers addressing coherence preservation through charge noise mitigation and advanced control methods. His research increasingly integrates hybrid quantum systems, combining spin qubits with acoustic wave devices and superconducting resonators. Recurring subfields include Si/SiGe heterostructure engineering, quantum fluctuator characterization, and quantum simulation using spin chains - reflecting a strategic focus on overcoming material limitations in quantum hardware. Scientific Awards: National Science Foundation CAREER award Google Research Scholar Award Leonard Mandel Faculty Fellow Award Nichol's research program is supported by competitive grants including the NSF CAREER award (funding coherence enhancement research) and Google Research Scholar Award (supporting quantum control innovations). His laboratory trains graduate students in nanofabrication, cryogenic measurement techniques, and quantum device characterization, with emphasis on translating fundamental discoveries into practical quantum computing components. Current projects focus on long-distance quantum state transfer and error-corrected multi-qubit operations. The Nichol Lab operates specialized facilities for quantum dot device fabrication and millikelvin transport measurements at the University of Rochester. His team collaborates with materials scientists on heterostructure growth and theorists on quantum simulation protocols, maintaining strong ties with semiconductor industry partners for advanced material development. Recent expansions include acoustic wave integration platforms for hybrid quantum systems.

• Quantum Information Processing
• Condensed Matter Physics
• Quantum Computing
• +۳ مورد دیگر

Kumar Vaibhav Srivastava is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). His research focuses on electromagnetic theory, meta-materials, and antenna design, with significant contributions to the field of computational electromagnetics and microwave engineering. Dr. Srivastava received his B.Tech from Kamla Nehru Institute of Technology, Sultanpur U.P. in 2002, followed by an M.Tech from IIT Kanpur in 2004. He completed his PhD at IIT Kanpur in 2008 with a thesis titled "Studies on Inhomogeneous Dielectric Resonators for Improved Mode Separation in MIC Environment using Efficient FDTD Algorithm and its Application to Band-pass Filter" under the supervision of Prof. Animesh Biswas. His research interests span a wide range of topics in electromagnetics, with particular expertise in Meta-Materials , Microwave Antennas , Microwave Absorbers , Microwave Cloaking , and the Finite-Difference Time-Domain (FD-TD) Technique . Dr. Srivastava's work has significant applications in wireless communications, radar systems, and electromagnetic compatibility. His innovative approaches to meta-material absorbers and antenna design have garnered attention in both academic and industrial circles. Dr. Srivastava's recent publications demonstrate a strong focus on advancing meta-material absorber technology and antenna design. His work shows consistent innovation in bandwidth enhancement techniques, polarization independence, and compact antenna designs for ultra-wideband applications. His research bridges theoretical electromagnetic principles with practical engineering solutions. Cadence Gold Medal-2005 for Best M.Tech. Thesis Best Teaching Assistantship Award (2005-06) Appreciation Letter from GE Global Research Centre Young Research Fellowship (Class of 1979) Best Paper Award at ATMS Conference (2013) IEI Young Engineer Award 2014 Dr. Srivastava has supervised numerous research projects and students in the field of electromagnetics and antenna design. His work with industry partners, including GE Global Research Centre, demonstrates his ability to translate theoretical research into practical applications. He maintains active collaborations with researchers both within IIT Kanpur and internationally. Based in the Advanced Centre for Electronic Systems (ACES) at IIT Kanpur, Dr. Srivastava works within a vibrant research ecosystem that supports cutting-edge work in electronic systems and electromagnetic applications. His laboratory focuses on computational electromagnetic simulations and experimental validation of novel meta-material structures and antenna designs.

• Meta-Materials
• Microwave Antennas
• Microwave Absorbers
• +۳ مورد دیگر

Dr. Aykut Koç is an Associate Professor at the Department of Electrical and Electronics Engineering and a faculty member of the National Magnetic Resonance Research Center (UMRAM) at Bilkent University, Turkey. He leads the AykutKoc Lab, focusing on interdisciplinary research at the intersection of machine learning, signal processing, natural language processing, and graph signal processing. Education: B.S. in Electrical and Electronics Engineering (2005, Bilkent University); M.S. in Electrical Engineering (2007), M.S. in Management Science and Engineering (2009), and Ph.D. in Electrical Engineering (2011) under Professor Lambertus Hesselink at Stanford University; LL.B. in Law (Ankara University). His research integrates mathematical signal processing techniques (e.g., fractional Fourier and linear canonical transforms) with modern machine learning architectures like transformers and graph neural networks. Recent work explores semantic communication systems, bias mitigation in legal language models, and cross-modal applications in biomedical imaging and radar technology. Dr. Koç has published extensively in IEEE and Springer journals, with recent articles analyzing Fourier-enhanced transformers, graph-based NLP methods, and time-vertex signal analysis. His work addresses both theoretical innovations and practical applications, including schizophrenia diagnosis, legal outcome prediction, and maritime surveillance. Scientific Awards: Science Academy Young Scientists Award (BAGEP), 2023. He has supervised numerous graduate and undergraduate researchers, many of whom have transitioned to top-tier institutions such as MIT, UCLA, and TU Darmstadt. Dr. Koç actively serves as Associate Editor for multiple IEEE journals and participates in conference program committees, including EMNLP's Natural Legal Language Processing (NLLP) workshop.

• Machine Learning
• Signal Processing
• Natural Language Processing
• +۱ مورد دیگر

Peeter Paris is an Associate Professor in Optics and Gas Discharge Physics at the Institute of Physics, Faculty of Science and Technology, University of Tartu. He has been affiliated with the University of Tartu since 1976, progressing from a senior lab assistant to his current position as Associate Professor since February 2024. His research focuses on laser-induced breakdown spectroscopy, plasma physics, and applications in fusion research. Education: PhD in Physics, University of Tartu (1994), dissertation: "Initiation of corona pulses" Higher degree in Physics, University of Tartu (1976) Professor Paris specializes in Optics, Gas Discharge Physics, and Laser-Induced Breakdown Spectroscopy (LIBS) . His work primarily addresses plasma physics phenomena, particularly in the context of nuclear fusion research. His research has significant applications in fusion reactor diagnostics, plasma-wall interactions, and material analysis for ITER and other fusion devices. He has developed LIBS techniques for in-situ monitoring of fuel retention, erosion, and deposition in fusion reactor components. His recent publications (2021-2024) demonstrate a strong focus on applying LIBS techniques to fusion research problems, particularly analyzing plasma-facing materials like beryllium and tungsten coatings. His work examines hydrogen isotope detection, plasma diagnostics, and material interactions in various gas environments. A consistent theme across his publications is the development and refinement of LIBS as a diagnostic tool for fusion reactors, with particular attention to atmospheric pressure plasmas and different gas mixtures. Research Supervision: Doctoral students: Jasper Ristkok (ongoing), Fred Valk (2017), Kaarel Piip (2016) Master's students: Jasper Ristkok (2021), Kaarel Piip (2012), Fred Valk (2005) Professor Paris has led and participated in numerous research projects, including the EUROfusion consortium project "Implementation of activities described in the Roadmap to Fusion during Horizon 2020" and the INTAS project "Physics and applications of positive and negative corona discharges." He is a member of the organizing committee for the international symposium "High pressure low temperature plasma chemistry" (HAKONEVIII).

• Optics
• Gas Discharge Physics
• Laser-Induced Breakdown Spectroscopy
• +۴ مورد دیگر

Jong-Yeon Lee is an Assistant Professor in the Department of Physics at the University of Illinois Urbana-Champaign, where he joined in 2023 after completing postdoctoral research at the Kavli Institute for Theoretical Physics. His work bridges condensed matter physics and quantum information science through investigations of quantum many-body phenomena. His educational background includes: B.S. in Physics and Mathematics from California Institute of Technology (2015) Ph.D. in Physics from Harvard University (2020) Professor Lee's research focuses on exotic quantum phenomena where information theory intersects condensed matter systems. He develops frameworks for understanding decoherence in topological phases, quantum criticality in open systems, and non-equilibrium dynamics using advanced numerical methods. His work on "decohered" quantum systems reveals how information-theoretic transitions relate to boundary quantum criticality, with implications for quantum computing robustness. His publication record shows consistent innovation in quantum information preservation under decoherence, topological phase characterization, and computational studies of correlated electron systems like twisted bilayer graphene. Recent work emphasizes decoding protocols for topological order recovery and information capacity under environmental entanglement. He was awarded the Richard P. Feynman Prize in Theoretical Physics during undergraduate studies at Caltech. Professor Lee actively recruits graduate students and postdoctoral researchers, teaching graduate courses including PHYS 598 Special Topics in Physics. His group focuses on quantum simulation platforms and theoretical frameworks for noisy quantum systems. At Illinois, he contributes to the theoretical condensed matter and quantum information research ecosystem, developing collaborations across physics and engineering disciplines.

• Condensed Matter Physics
• Quantum Information Science
• Topological Phases and Critical Phenomena
• +۳ مورد دیگر

Dr. Bo Liu is an Associate Professor in the School of Computer Science at the University of Technology Sydney (UTS), where he serves as a core member and director of the AI Security and Privacy (AISP) Research Lab at the Australian Artificial Intelligence Institute (AAII). With expertise spanning cybersecurity, privacy protection, AI and machine learning, and wireless communications, Dr. Liu has established himself as a leading researcher in the field of AI security and privacy. Dr. Liu earned his PhD from the Department of Electronic Engineering at Shanghai Jiao Tong University in 2010. His academic journey at UTS has progressed from Senior Lecturer (November 2019-December 2022) to his current position as Associate Professor (January 2023-present). Dr. Liu's research focuses on the critical intersection of artificial intelligence and security, particularly addressing emerging threats in the age of advanced AI systems. His work spans multiple dimensions of security and privacy, including deepfake detection, privacy-preserving data synthesis, AI model security, and fair machine learning. He has pioneered approaches to detect AI-generated content, protect visual privacy through de-identification techniques, and address the complex relationship between algorithmic fairness and privacy preservation. His publication record demonstrates significant contributions across multiple cutting-edge research areas, with particular emphasis on detecting and mitigating threats from generative AI systems. His recent work reveals a strong focus on deepfake detection across multiple modalities (images, video, and audio), privacy-preserving techniques for sensitive data, and the security implications of emerging AI architectures like Retrieval-Augmented Generation systems. Dr. Liu has secured substantial research funding, including as Lead Chief Investigator on multiple ARC Discovery and Linkage Projects, totaling over $3.5 million AUD. His industry collaborations include partnerships with the NSW Department of Planning and the Reserve Bank of Australia, demonstrating the practical applicability of his research. As an academic leader, Dr. Liu serves as Associate Editor for IEEE Transactions on Broadcasting and actively contributes to the academic community through conference organization, peer review for top-tier venues, and assessment for ARC grant schemes. He also teaches courses including Penetration Testing, Ethical Hacking and Offensive Security, and supervises Masters and PhD students in cybersecurity and privacy research.

• Cybersecurity and privacy
• Privacy protection
• AI and machine learning
• +۴ مورد دیگر

Joanna Aizenberg is the Amy Smith Berylson Professor of Materials Science and Professor of Chemistry and Chemical Biology at Harvard University’s School of Engineering and Applied Sciences (SEAS). She is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering and Co-Director of the Kavli Institute for Bionano Science and Technology. Her research focuses on understanding biological architectures and applying these principles to develop advanced synthetic materials and devices. Current Positions: Amy Smith Berylson Professor of Materials Science, Harvard SEAS Professor of Chemistry and Chemical Biology, Harvard Core Faculty Member, Wyss Institute Co-Director, Kavli Institute for Bionano Science and Technology Research Interests: Joanna Aizenberg’s lab explores adaptive materials, biomineralization, surface science, bio-inspired optics, self-assembly, and bio-nano interfaces. The group investigates how biological systems economically design multifunctional, adaptive materials to inspire new synthetic routes and nanofabrication strategies. These advancements aim to impact fields such as architecture, energy efficiency, and medicine. Recent Article Trends: Her recent publications emphasize bio-inspired materials, catalysis, surface engineering, and fluid dynamics. Topics include superhydrophobic coatings, PdAu alloy catalysts, liquid crystal elastomers, and microbial contamination reduction. The interdisciplinary work integrates nanofabrication, computational modeling, and environmental applications. Research Group Members: Kathy Liu Gurminder Paink Haritosh Patel Atalaya Wilborn Garrick Lim

• Adaptive Materials
• Biomineralization
• Surface Science
• +۴ مورد دیگر

Hayato Yamana serves as Professor at Waseda University's Faculty of Science and Engineering and concurrently holds the position of Vice President for IT Promotion and Chief Information Officer since October 2020. His academic journey began with a Dr. Eng. degree from Waseda University in 1993, followed by positions at the Electrotechnical Laboratory of MITI, before joining Waseda University as Associate Professor in 2000 and becoming full Professor in 2005. He has held significant leadership roles including Director of the Database Society of Japan and the Information Processing Society of Japan, as well as Vice Chair of IEICE's Information and Communication Society. Waseda University, Faculty of Science and Engineering (2005-Present) National Institute of Informatics, Visiting Professor (2005-Present) Waseda University, Vice President for IT Promotion (2020-Present) Deputy Chief Information Officer (2015-2020) His research spans homomorphic encryption, big data analysis, and computer architecture, with notable contributions in privacy-preserving computation, recommender systems, and secure data processing. His work bridges theoretical cryptography with practical applications in smart cities, healthcare, and e-commerce security. Recent publications demonstrate strong focus on accelerating homomorphic encryption operations, improving recommendation system diversity, and developing novel authentication mechanisms. Analysis of his 15 most recent publications reveals consistent emphasis on privacy-preserving technologies (particularly homomorphic encryption applications), innovative recommender system architectures, and biometric security solutions. His research group produces highly cited work at the intersection of cryptography, machine learning, and systems security, with practical implementations in real-world scenarios including smart grids, e-commerce, and healthcare. Fellow, Information Processing Society of Japan (IPSJ), 2020 Golden Core Award, IEEE Computer Society, 2018 Fellow, Institute of Electronics, Information and Communication Engineers (IEICE), 2018 IBM Faculty Award, 2009 Multiple Best Paper Awards from IEICE, IPSJ, and ITE Yamana has secured substantial research funding for projects in homomorphic encryption, smart city infrastructure, and privacy-preserving systems. His leadership extends to advising numerous doctoral students and directing major research initiatives including the Smart Systems and Services Innovative Professional Education Program. He maintains active collaborations with industry partners through projects involving secure computation and data analytics. His research group operates at the forefront of secure computing, with specialized laboratories focused on homomorphic encryption acceleration, privacy-preserving machine learning, and secure mobile authentication. The team actively develops practical implementations of cryptographic protocols for real-world applications in healthcare, finance, and smart city infrastructure, bridging theoretical cryptography with deployable security solutions.

• Homomorphic Encryption
• Big Data Analysis
• Database Systems
• +۶ مورد دیگر

Murielle Rivenet is a Professor in the Solid State Chemistry Department at Centrale Lille, specializing in actinide chemistry and materials for sustainable nuclear power. She is affiliated with the Catalysis and Solid State Chemistry Unit (UCCS), a CNRS research unit (UMR CNRS 8181). Her office is located in building C7, room 228 at the Scientific City campus in Villeneuve d'Ascq, France. Dr. Rivenet's research focuses on the solid-state chemistry of actinides and lanthanides, particularly exploring oxalate compounds and their applications in nuclear materials. Her work spans several key areas: Crystal growth and structural characterization of actinide compounds Nuclear waste immobilization materials Coordination chemistry of uranium, thorium, and plutonium Materials for sustainable nuclear power generation Synthesis and characterization of oxalate-based coordination polymers Her recent publications demonstrate a strong focus on developing materials for nuclear applications, with particular attention to crystal engineering of actinide compounds. She has made significant contributions to understanding the structural chemistry of oxalate-based materials containing uranium, thorium, and other actinides, which have implications for nuclear fuel cycles and waste management. Dr. Rivenet has received recognition for her work in actinide chemistry as evidenced by her extensive publication record in high-impact journals including Inorganic Chemistry, Journal of Solid State Chemistry, and Chemical Communications. She actively collaborates with researchers across France and internationally, working on projects related to nuclear materials science and sustainable nuclear power. Her research group develops advanced materials for nuclear applications, with a focus on understanding fundamental chemical behaviors of actinides in solid-state systems.

• Actinide chemistry
• Nuclear materials science
• Solid state chemistry
• +۶ مورد دیگر

Salvador Barraza-Lopez is a Professor of Physics at the University of Arkansas' College of Arts & Sciences. A theoretical physicist specializing in 2D materials, he developed discrete differential geometry approaches for strain effects in graphene and pioneered 2D ferroelectric research. As a DOE Early Career Awardee (2016) and MonArk NSF Quantum Foundry co-founder, he leads interdisciplinary collaborations across physics, materials science, and mathematics. PhD in Physics from University of Illinois-Urbana Champaign (2006) Postdoctoral work at Virginia Tech and Georgia Tech Established theory of structural transformations in 2D ferroelectrics His research spans quantum phase transitions in 2D systems, strain engineering, and topological materials. Three major review articles in Reports on Progress in Physics (2017, 2023) and Reviews of Modern Physics (2021) synthesize his work on mechanical, electronic, and optical properties of strained 2D materials. Recent publications focus on winding Berry dipoles in strained graphene, size-dependent ferroelectric transitions in homobilayers, and symmetry-breaking effects in moiré superlattices. Collaborations with Kai Chang (Beijing) and Stuart Parkin (MPI-Halle) demonstrate international impact. Awards: DOE Early Career Award (2016) Outstanding Mentor Recognition (2013) Young Investigator of the Year (2013) Mentored 2 NSF Graduate Fellows (Erin Farmer, Joseph Roll) and 3 Goldwater Scholars. Current group includes 2 undergraduates, 3 PhD students, and 2 postdocs. His theoretical frameworks enabled experimental collaborations with DOE labs and Max Planck Institute, securing $0.5M for Arkansas supercomputer upgrades (2024).

• 2D Materials
• Ferroelectricity
• Topological Materials
• +۴ مورد دیگر

Dr. Huaxiang Fu is a Professor in the Department of Physics at the University of Arkansas' College of Arts & Sciences, where he has been since 2002. His research focuses on first-principles computational studies of bulk and nanomaterials, particularly ferroelectric materials, quantum dots, and organic-inorganic hybrid materials. Education: Ph.D., Fudan University, China (1994) Postdoctoral Associate, National Renewable Energy Lab, Colorado (1995–1998) Postdoctoral Associate, Geophysical Lab, Carnegie Institution of Washington, DC (1999–2000) Dr. Fu's research spans five key areas: phase transitions in low-dimensional ferroelectrics, finite electric fields in solids, defect physics in ferroelectrics, hyperferroelectricity, and organic-inorganic hybrid materials. His work often employs density functional theory and computational modeling to explore polarization behavior, strain effects, and electronic structure. His recent publications highlight trends in ferroelectricity under strain , defect-induced polarization changes , and spin-orbit coupling effects . Notable collaborations include researchers at Carnegie Institution and University of Arkansas. Teaching: Undergraduate: General Physics, Statics, Mechanics of Materials, University Physics II, Electromagnetism, Fortran Programming, Computational Physics in C++, Physics for Architects II, Thermal Physics. Graduate: Statistical Mechanics, Solid State Physics, Optical Properties of Materials, Advanced Solid State Physics, Physics at the Nanoscale, Quantum Mechanics, Mathematical Methods. Research Contributions: 2004: Nature publication on ferroelectric nanodisks 2000: Nature paper on polarization rotation in piezoelectrics 2013: Pioneering work on electromechanical angular momentum coupling

• Ferroelectric Materials
• Quantum Dots
• Density Functional Theory
• +۴ مورد دیگر

Boris Jukic is a Professor and Director of Applied Data Science at the Reh School of Business , Clarkson University. With a PhD from the University of Texas at Austin, he teaches courses such as Visual Basic Programming for Business Applications and Development of Business Applications on the Internet. Dr. Jukic's research focuses on: Management and pricing of networks and telecommunication services Application of data management and presentation strategies in e-business and e-commerce IT architecture's impact on organizational success metrics His recent publications highlight trends in data warehousing , IT architecture , and business intelligence . Notable subfields include data modeling , incentive-compatible pricing , and process-data integration . Contact: Email: bjukic@clarkson.edu Phone: 315/268-3884 Office: 227 Bertrand H. Snell Hall, Clarkson University

• Data Warehousing
• E-Commerce
• IT Architecture
• +۷ مورد دیگر

Biyun Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering. Her research focuses on kinematically redundant robots, fault-tolerant robotics, and human-robot interaction, with applications in dangerous environments and collaborative systems. Education : Ph.D. in Electrical Engineering from Colorado State University (2019), Ph.D. in Mechanical Engineering from Beijing University of Technology (2015), and B.S. in Mechanical Engineering and Automation from Beijing University of Technology (2009). Research Interests : Kinematically Redundant Robots Fault Tolerant Robots Collaborative Robots Human-Robot Interaction Publications (2025–2023) highlight advancements in real-time fault-tolerant motion planning for redundant robots, neural network-based motor health monitoring, human-like motion algorithms, and collision-free trajectory optimization. These works intersect robotics, artificial intelligence, and mechanical/electrical engineering. Contact : Biyun.Xie@uky.edu | 859-562-2557

• Kinematically Redundant Robots
• Fault Tolerant Robots
• Collaborative Robots
• +۴ مورد دیگر

Dr. Alexandre Marques is an Assistant Professor at the University of Southern Mississippi. His expertise spans Microbiology, Immunology, and Parasitology, with a focus on vaccine development against parasitic infections like Leishmaniasis, Chagas disease, and Malaria. He holds a PhD from the Universidade de São Paulo (2007) and teaches courses such as Gen Microbiology and Microorg Hth Di at the university. His research integrates immunological, clinical, and molecular approaches to understand parasitic disease mechanisms and therapeutic interventions. Notable areas include α-Gal immunization strategies, transcriptomic analysis of breast cancer, and vaccine design against Leishmania. He has also explored applications in aquaculture nutrition and cosmetic safety assessments. Dr. Marques’ work spans interdisciplinary collaborations, including veterinary medicine, nanotechnology-based drug delivery, and antimicrobial stewardship in pediatrics. His contributions to animal models for Chagas disease and canine visceral leishmaniasis highlight translational research impact. Key themes in his publications include immune response modulation, pathogen-host interactions, and biomarker discovery in chronic infections. He has published over 50 articles across microbiology, immunology, and biomedical engineering since 2007.

• Microbiology
• Immunology
• Parasitology
• +۶ مورد دیگر

Dr. XiaoYue Cathy Liu is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Utah. She holds a PhD in Transportation Engineering from the University of Washington and advanced degrees in Transportation Planning and Electronics Engineering. Her research focuses on sustainable transportation systems, shared mobility, public transit optimization, managed lanes, and intelligent transportation systems. She actively serves on committees including the Transportation Research Board's Highway Capacity Quality of Service (HCQS) Committee and chairs its Technology Transfer Subcommittee. She also advises the Utah Model Advisory Committee and previously served on Salt Lake City’s Transportation Advisory Board. Dr. Liu is a licensed professional engineer in Utah. Education: PhD, Transportation Engineering, University of Washington (2013) MA, Transportation Planning & Management, Texas Southern University BS, Electronics & Electrical Engineering, Beijing Jiaotong University Graduate Certificate, Global Trade & Logistics, University of Washington (2011) Research Interests: Electric vehicle infrastructure and charging networks Smart transportation systems and agent-based modeling GIS-based asset management for transportation infrastructure Snowplowing operations optimization and winter maintenance Managed lanes and high-occupancy toll (HOT) lane analysis Public transit equity and accessibility Her recent publications emphasize data-driven approaches to transportation challenges, including EV demand forecasting, drone delivery networks, and resilience in interdependent transit systems. She collaborates on projects addressing Utah’s unique transportation needs, such as optimizing snowplow routes and integrating renewable energy into public transport systems. Professional Contributions: Board member, Utah Model Advisory Committee Former Chair, Salt Lake City Transportation Advisory Board (2013-2016) TRB Managed Lane Committee member TRB Transit Capacity & Quality of Service (TCQS) Committee member (2016-2019) Dr. Liu’s work bridges transportation engineering with computational methods, focusing on equity, sustainability, and operational efficiency. She leads research initiatives involving large-scale modeling, geospatial analytics, and interdisciplinary solutions for modern mobility challenges.

• Sustainable Transportation Systems
• Shared Mobility
• Public Transit Planning
• +۷ مورد دیگر