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نمایش ۶۷۶-۶۹۰ از ۱۰٬۲۸۶ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Bo Anمشاهده پروفایل

استاد

Nanyang Technological UniversitySingapore

Bo An is a President's Chair Professor and Head of the Division of Artificial Intelligence at the College of Computing and Data Science , Nanyang Technological University, Singapore . He also holds a courtesy appointment as Professor at the School of Physical & Mathematical Sciences and serves as Director of the Centre of AI-for-X. Previously, he was a Nanyang Assistant Professor (2014-2018), Associate Professor at the Chinese Academy of Sciences (2012-2013), and Postdoctoral Researcher at the University of Southern California (2010-2012). His academic journey began with B.Sc. and M.Sc. degrees from Chongqing University, followed by a Ph.D. in Computer Science from the University of Massachusetts, Amherst (advised by Victor Lesser). Research Interests : Artificial Intelligence Multiagent Systems Computational Game Theory Reinforcement Learning Automated Negotiation Optimization Research Impact : Applications in infrastructure security (deployed by US Coast Guard and Federal Air Marshals), e-commerce, sensor networks, and financial technology. Over 150 publications in top venues like AAMAS, IJCAI, AAAI, ICML, NeurIPS, KDD, and ACM/IEEE Transactions. Scientific Recognition : 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award 2012 INFORMS Wagner Prize 2018 & 2022 Nanyang Research Awards 2017 Microsoft Collaborative AI Challenge IEEE Intelligent Systems 'AI's 10 to Watch' (2018) Leadership Roles : Editor-in-Chief of IEEE Intelligent Systems, Associate Editor for AIJ, JAAMAS, and ACM Transactions. Served as General Co-Chair for AAMAS'23 and Program Chair for IJCAI'27.

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Insa Feinkohlمشاهده پروفایل

استاد

Witten/Herdecke UniversityGermany

Insa Feinkohl is a Professor at the Chair of Medical Biometry and Epidemiology within the Faculty of Health at the University of Witten/Herdecke . Her research focuses on risk factors for cognitive dysfunction and mental health in older adults, particularly post-surgery, with emphasis on metabolic and cognitive risk factors. Bachelor of Science (BSc) in Psychology (1 st class honors) – University of Dundee (2006-2009) Master of Science (MSc) in Psychology of Individual Differences (with distinction) – University of Edinburgh (2009-2010) PhD in Community Health Sciences – University of Edinburgh (2010-2014) Post Doc in Knowledge Construction Group – Leibniz Institute for Knowledge Media, Tübingen (2014-2015) Postdoc in Molecular Epidemiology Group – Max Delbrück Center, Berlin (2015-2022) Habilitation in Molecular Epidemiology – Charité Universitätsmedizin Berlin (2021) Her research integrates medical biometry and epidemiology to study postoperative cognitive dysfunction (POCD), delirium, and aging-related cognitive decline. Key areas include biomarker validation (e.g., leptin, interleukins), brain connectivity (dopaminergic networks, thalamus), and metabolic risk factors (diabetes, obesity). She contributed to the BioCog project , an EU-funded initiative for personalized risk prediction of postoperative cognitive impairment. Her recent publications highlight trends in perioperative neuroscience, including brain mineralization, cytokine associations with neurocognitive disorders, and structural/functional imaging in delirium. Articles also explore metabolic syndrome, cognitive reserve, and delirium prediction models using machine learning. Insa Feinkohl is affiliated with major academic societies, including the German Society for Epidemiology , German Society for Medical Informatics, Biometry and Epidemiology , and the German University Association .

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Christian A Parkinsonمشاهده پروفایل

استادیار

Michigan State UniversityUnited States

Christian A Parkinson is an Assistant Professor at Michigan State University , affiliated with the Departments of Mathematics and Computational Mathematics, Science and Engineering. His research spans mathematical modeling, computational methods, and interdisciplinary applications in epidemiology, control theory, and differential geometry. Research Interests : Mathematical epidemiology, path planning algorithms, reaction-diffusion systems, stochastic modeling, differential geometry, and network science. Email : chparkin@msu.edu His recent publications focus on: Hamilton-Jacobi equations for optimal path planning in multi-agent systems Reaction-diffusion models for epidemics with human behavior Differential geometry approaches to hyperbolic surfaces Network models for disease-opinion coevolution Environmental crime modeling using level sets He teaches MTH 890: Readings in Mathematics , emphasizing advanced computational and theoretical frameworks.

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Jan Engelhardtمشاهده پروفایل

استادیار

Technical University of DenmarkDenmark

Jan Engelhardt serves as Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in e-mobility and prosumer integration within power and energy systems. His work directly contributes to UN Sustainable Development Goals through grid modernization and renewable energy integration. His research focuses on electric vehicle-grid integration , with core expertise in battery energy storage systems, DC microgrids, and virtual power plants. Key investigation areas include smart charging architectures for EV clusters, frequency response services, phase balancing techniques, and V2X management strategies. His experimental approach combines theoretical modeling with real-world validation of control systems for enhanced grid stability. Recent publications demonstrate a clear trend toward distributed control solutions for electric vehicle clusters, emphasizing user-centric scheduling while providing grid services. His work increasingly incorporates experimental validation of frequency control architectures and explores high-power reconfigurable battery applications for fast-charging infrastructure. Dr. Engelhardt actively supervises PhD candidates on projects including Hybrid Energy Solutions (EV charging and battery storage synergies) and Provision of Grid Services through EV Aggregation. He participates in major EU initiatives like EV4EU (Electric Vehicles Management for Carbon Neutrality in Europe) and GREAT (GRid Enhancement for Ancillaries in Tomorrow’s power systems), securing substantial research funding through Horizon Europe frameworks.

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John G Rarityمشاهده پروفایل

استاد

University of BristolUnited Kingdom

Professor John G Rarity serves as Professor of Optical Communication Systems within the School of Electrical, Electronic and Mechanical Engineering at the University of Bristol, where he leads research at QET Labs and the Bristol Quantum Information Institute. His work spans quantum communication, photonics, and quantum information systems with significant contributions to quantum cryptography and sensing. Research focuses on quantum communication networks , quantum cryptography , and quantum sensing applications . His fingerprint reveals dominant expertise in Quantum Dot Physics (100%), Photonics Physics (94%), Photonic Crystal Material Science (60%), and Quantum Cryptography (48%). Current work emphasizes entanglement distribution, counterfactual communication protocols, and quantum-enhanced sensing for environmental monitoring. Recent publications (2025) demonstrate leadership in multi-node quantum networks, deterministic teleportation, and methane sensing via quantum techniques. His 438 research outputs show consistent focus on practical quantum systems integration, particularly in overcoming classical-quantum channel coexistence challenges in fiber networks. Principal Investigator for 75 projects including active EPSRC grants EP/N00762X/1, EP/R022054/1, and EP/R023018/1 Supervised 36 research students Developed quantum communication systems for CubeSat deployment Pioneered quantum sensing applications for greenhouse gas detection Rarity actively collaborates across international quantum research networks, with recent work involving hollow-core fiber quantum channels, NV-center quantum sensors, and photonic integrated circuits for scalable quantum systems. His lab maintains strong industry partnerships with BT Research and optical communications firms.

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Zhishan Wangمشاهده پروفایل

استاد پژوهشی

Stony Brook UniversityUnited States

Zhishan Wang, MD, PhD is a Research Professor in the Department of Pathology at Stony Brook University's Renaissance School of Medicine . His work focuses on environmental carcinogenesis , particularly mechanisms of cancer biology and cancer therapy , with a specialization in metal-induced carcinogenicity. Research Interests: Environmental Carcinogenesis Epigenetic and Epitranscriptomic Mechanisms Tumor Microenvironment Remodeling Metal Toxicity Pathobiology Non-Coding RNA Regulatory Networks Scientific Contributions: Analysis of 15 recent publications reveals expertise in: Metal-Induced Oncogenic Pathways (e.g., NF-κB activation, Hedgehog signaling) RNA Modification Dynamics (m6A, lncRNA-splicing interactions) Stem Cell Plasticity in Carcinogenesis Multi-Carcinogen Synergy Mechanisms Epigenetic-Genotoxic Interplay Transcriptomic Reprogramming by Toxicants

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Minh Hoai Nguyenمشاهده پروفایل

استادیار

Stony Brook UniversityUnited States

Minh Hoai Nguyen is an Assistant Professor in the Department of Computer Science at Stony Brook University. He received his PhD in Robotics from Carnegie Mellon University and a Bachelor of Engineering from the University of New South Wales. Prior to Stony Brook, he was a post-doctoral research fellow at Oxford University and a Kurti Junior Research Fellow at Brasenose College. Education: PhD in Robotics, Carnegie Mellon University Bachelor of Engineering, University of New South Wales His research focuses on computer vision , machine learning , and time series analysis , particularly in developing algorithms for human action recognition , gesture detection , and expression analysis in video data. Applications include video surveillance , human-computer interaction , and medical diagnosis of behavioral disorders . His work integrates computer vision for video processing, time series analysis for modeling human behavior, and machine learning for training complex algorithms. Notable awards include: CVPR 2012 best student paper award Winner of PASCAL VOC 2012 Challenge for Human Action Recognition He teaches courses such as Video Analysis (CSE 594) and Introduction to Robotics (CSE 525) .

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Asha Weinstein Agrawalمشاهده پروفایل

استاد

San José State UniversityUnited States

Asha Weinstein Agrawal is a Professor at the School of Planning, Policy, and Environmental Studies within San Jose State University's College of Social Sciences. Her work centers on transportation planning and policy with a focus on sustainability and equity, actively engaging policymakers and communities to address contemporary mobility challenges through evidence-based solutions. Professor Agrawal's research spans transportation revenue systems, equity implications in mobility access, sustainable transportation frameworks, travel behavior analysis, survey methodology innovation, and historical transportation policy evolution. She investigates how planning tools can promote environmentally friendly travel and improve accessibility for disadvantaged populations, with current projects examining electric vehicle impacts on transportation funding, transit safety for vulnerable users, and community engagement in open streets initiatives. Analysis of her recent publications reveals dominant themes in transportation funding alternatives—particularly mileage-based user fees and zero-emission vehicle revenue impacts—and equity-focused studies on transit safety, workforce diversity, and accessibility for older adults and low-income communities. Her work consistently bridges academic research with real-world policy applications through rigorous survey methodologies and multi-stakeholder engagement. Scientific Awards: No specific awards are documented in the provided materials. Advising and Professional Engagement: Professor Agrawal regularly presents findings to federal and state decision-makers including U.S. Senate committees, the California Transportation Commission, and local transportation authorities. She serves on key advisory bodies such as the Metropolitan Transportation Commission's Regional Means-Based Transit Fare Pricing Study committee, Santa Clara County Traffic Safe Communities Network, and Valley Transportation Authority's Pedestrian Access Task Force. Her research has been supported through multiple policy-relevant projects with transportation agencies across California and nationally.

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Anders Söderholmمشاهده پروفایل

استاد

KTH Royal Institute of TechnologySweden

Anders Söderholm serves as the Vice-Chancellor (Rektor) of KTH Royal Institute of Technology, Sweden's leading technical university. His leadership spans academic, research, and strategic domains with a strong focus on positioning KTH as a key player in addressing global challenges through technology and innovation. Recent initiatives highlight his emphasis on AI ethics, quantum technology development, and sustainability research. Söderholm's research interests center on academic leadership, organizational theory, and project management, with particular focus on temporary organizations and the 'projectified society.' His work bridges theoretical frameworks with practical applications in higher education governance and research policy. He has significantly contributed to the Scandinavian school of project management research, exploring how organizations navigate complexity through temporary structures. Analysis of his recent publications reveals a clear trajectory from theoretical explorations of project management toward practical applications in higher education leadership. His scholarship demonstrates increasing engagement with the challenges of university governance in an era of rapid technological change, particularly around AI implementation and international research collaboration. The interdisciplinary nature of his work connects organizational theory with practical leadership challenges in academic settings. Söderholm actively engages in national policy discussions, having contributed to debates about university associations, research funding models, and international collaborations, particularly regarding China. His leadership extends to fostering partnerships with industry and other academic institutions, as evidenced by initiatives with Chalmers University of Technology. As Vice-Chancellor, Söderholm oversees KTH's strategic direction, which includes significant investments in research infrastructure, educational innovation, and international collaboration. His leadership approach emphasizes the university's role in societal development, technological advancement, and democratic values, while navigating the complex landscape of research funding and academic autonomy.

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Marek Baslerمشاهده پروفایل

دانشیار

University of BaselSwitzerland

Prof. Dr. Marek Basler is an Associate Professor of Infection Biology at the Biozentrum, University of Basel , leading a research group focused on the Type VI Secretion System (T6SS) in bacterial pathogens. His work bridges structural biology, molecular microbiology, and computational analysis to unravel the mechanisms of this contractile nanomachine. PhD in Microbiology (2007, Institute of Microbiology, CAS, Prague) Postdoctoral Fellow (2007–2013, Harvard Medical School) Assistant Professor (2013–2018) and Associate Professor (since 2018) at Biozentrum His research explores the structure, assembly, and therapeutic potential of the T6SS, a critical virulence factor in pathogens like Pseudomonas aeruginosa . Key themes include bacterial defense strategies , intermicrobial competition , and host-pathogen interactions . Recent projects highlight T6SS roles in antibiotic resistance and horizontal gene transfer . The most recent publications (2025–2024) reveal novel insights into T6SS activation by environmental stress , toxin diversity , and host cell targeting . Trends span microbial ecology , nanomachine dynamics , and computational modeling of bacterial interactions. Scientific Awards : EMBO Membership (2023) ERC Consolidator Grant (2019) EMBO Gold Medal (2018) Friedrich Miescher Award (2018) EMBO Young Investigator (2015) His lab (Basler Lab) utilizes state-of-the-art microscopy , biochemical techniques , and live-cell simulations (e.g., BacFighT6 ). Collaborations span institutions like Harvard Medical School and NCCR-AntiResist , with future work targeting antibacterial therapies .

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Adriano Jorge Cardoso Moreiraمشاهده پروفایل

دانشیار

University of MinhoPortugal

Adriano Jorge Cardoso Moreira is an Associate Professor with Habilitation at the Department of Information Systems, School of Engineering, Universidade do Minho, Portugal. He is also a Senior Researcher at the Algoritmi Research Centre and Scientific Coordinator of the Urban and Mobile Computing department at Centro de Computação Gráfica. His research focuses on indoor positioning , mobile and context-aware computing , urban computing , and simulation of wireless networks . Research Interests : Indoor Positioning, Mobile Computing, Urban Mobility, Sensor Networks, Wi-Fi and UWB Localization, Smart Cities. Leadership : Coordinated the Computer Communications and Pervasive Media Group (2008-2016), Scientific Committee member (Director of MAP-tele PhD program in multiple terms), and leads the Master in Telecommunications and Informatics since 2021. Publications : Over 100 papers, including IEEE Transactions and Sensors journal articles, with an h-index of 23 and 2136 citations. Awards : First and second prizes in EvAAL-ETRI Indoor Localization Competitions (2015, 2016, 2017).

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Vicki H. Wysockiمشاهده پروفایل

استاد

Georgia Institute of TechnologyUnited States

Vicki H. Wysocki is Professor and Chair at Georgia Institute of Technology, leading pioneering research in mass spectrometry and structural biology. Her work focuses on developing advanced techniques to study protein complexes, proteomics, and metabolomics, with her research group maintaining an active presence at major conferences including ASMS 2024 and preparations for ASMS 2025. Her educational background includes: B.S. in Chemistry from Western Kentucky University (1982) Ph.D. in Chemistry from Purdue University (1987) Postdoctoral research at Purdue University (1987) and National Research Council/Naval Research Lab (1988-1989) Dr. Wysocki's research spans four interconnected areas: (1) development of surface-induced dissociation (SID) on commercial mass spectrometry platforms; (2) native mass spectrometry-guided structural biology for studying large protein-protein complexes; (3) multi-omics approaches integrating proteomics and metabolomics with genomics for biomarker discovery; and (4) determination of peptide structures using IR action spectroscopy. Her work bridges analytical chemistry, biochemistry, and structural biology to address fundamental protein science questions. Analysis of her recent publications reveals a strong focus on advancing native mass spectrometry techniques, particularly surface-induced dissociation, for structural characterization of protein complexes. Her work increasingly integrates multi-omics approaches to study bacterial pathogenesis, with emphasis on Salmonella infection mechanisms, while also exploring innovative instrumentation development for structural biology applications. Dr. Wysocki has received numerous prestigious awards: 2022 Thomson Medal from the International Mass Spectrometry Foundation 2022 ACS Division of Analytical Chemistry Award 2017 ACS Field and Franklin Award for Outstanding Achievement in Mass Spectrometry 2016 OSU Excellence in Biochemistry Award 2009 Distinguished Contribution to Mass Spectrometry Award from ASMS She actively mentors numerous graduate students and postdoctoral researchers, with current lab members including Kristie Baker, Yuan Gao, and Philip Lacey. Her research is supported by multiple NIH grants, enabling cutting-edge instrumentation development and biological applications. The Wysocki Group maintains strong collaborations across disciplines, particularly in microbiology and structural biology. The Wysocki Research Group operates state-of-the-art mass spectrometry facilities at Georgia Tech, including specialized instrumentation for native mass spectrometry and surface-induced dissociation. The group actively develops new methodologies and maintains the website nativems.gatech.edu as a resource for the mass spectrometry community, demonstrating continued leadership at the intersection of technology development and biological discovery.

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Richard Bornمشاهده پروفایل

استاد

Harvard UniversityUnited States

Richard Born is a Professor of Neurobiology at Harvard Medical School , focusing on the circuitry of the mammalian cerebral cortex and its role in visual perception. His lab employs multi-species approaches, combining primate psychophysics and electrophysiology rodent 2-photon imaging and optogenetics hierarchical Bayesian modeling of perceptual inference to investigate cortico-cortical feedback, neural variability, and context-dependent visual processing. Research Interests span visual systems neuroscience, with emphasis on top-down modulation of sensory processing binocular rivalry and perceptual states gamma oscillations and neural synchrony input-gain control in V1/V2/V3 Bayesian brain frameworks neuroanatomical connectomics Recent work explores layer 1 dendritic interactions with somatostatin interneurons and collaborations with institutions like Boston University and the University of Rochester. Advising includes mentoring postdoctoral fellows (Ariana Sherdil, Camille Gómez-Laberge, Abhinav Grama) and students at Harvard Medical School. The lab utilizes advanced techniques including multi-electrode arrays laminar probes optogenetic perturbation DTI tractography validation for circuit analysis.

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Andrew H. Baldwinمشاهده پروفایل

استاد

University of Maryland, College ParkUnited States

Dr. Andrew H. Baldwin is a Professor and Extension Specialist in the Department of Environmental Science and Technology at the University of Maryland, College Park. With expertise in tidal and inland wetland ecology, restoration, and plant ecology, he bridges academic research with practical wetland conservation applications. Ph.D., Botany, Louisiana State University (1996) B.S., Biology, Tufts University (1983) B.S., Engineering (Environmental Focus), Tufts University (1983) His research focuses on understanding plant regeneration dynamics, carbon and nitrogen cycling, invasive species impacts (notably Phragmites australis), and global change effects in wetland ecosystems. This work directly informs strategies to enhance wetland restoration outcomes. Recent publications highlight his contributions to tidal wetland carbon dynamics, microbial community responses to restoration, and Phragmites invasion mechanisms across global change scenarios. These studies span disciplines including wetland ecology, biogeochemistry, and climate science. Fellow, Society of Wetland Scientists (2019) President, Society of Wetland Scientists (2009-2010) Professional Wetland Scientist Certification (PWS No. 2997) Dr. Baldwin teaches graduate and undergraduate courses in wetland ecology and restoration, mentors students at all academic levels, and serves as a reviewer for over 30 journals and agencies. No specific lab or team information was provided in the available texts.

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Lionel C. Briandمشاهده پروفایل

استاد

Max Planck Institute for Security and PrivacyGermany

Lionel C. Briand is a Professor of Software Engineering with shared appointments at the University of Luxembourg's SnT Centre for Security, Reliability, and Trust and the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Canada Research Chair (Tier 1) in Intelligent Software Dependability and Compliance and serves as Director of Lero, Ireland's national software research center. His academic leadership spans over 25 years of collaborative research with industry partners across automotive, aerospace, energy, financial, and legal domains. Professor Briand's research focuses on software verification and validation, trustworthy AI systems, model-driven engineering, and empirical software engineering methodologies. His work bridges theoretical foundations with industrial applications, particularly in cyber-physical systems where machine learning components interact with safety-critical control systems. He has pioneered techniques for testing AI-enabled systems, GDPR compliance automation, and mutation analysis for space systems. His publication portfolio demonstrates consistent innovation in software testing, with recent emphasis on large language models for test generation, automated compliance checking, and safety analysis of deep neural networks. Key trends include black-box testing methodologies, metamorphic testing for security, and search-based approaches for DNN validation. IEEE Fellow and ACM Fellow IEEE Computer Society Harlan Mills Award (2012) ACM SIGSOFT Outstanding Research Award (2022) IEEE Reliability Society Engineer-of-the-Year Award (2013) ERC Advanced Grant recipient (2016) Fellow of the Academy of Science, Royal Society of Canada (2023) ICSE 2011 Most Influential Paper Award As Director of Lero and holder of a Canada Research Chair, Professor Briand leads major research initiatives including an ERC Advanced Grant on cyber-physical system modeling and testing. His industrial collaborations generate substantial grant funding, particularly in automotive safety validation and regulatory compliance automation. He mentors numerous researchers through his dual appointments and serves on program committees for top software engineering conferences. Professor Briand directs research activities at the SnT Centre's SVV department, focusing on software verification and validation. His team develops practical tools like MASS for space system mutation analysis and COREQQA for compliance requirements understanding, with strong industry adoption in automotive and aerospace sectors.

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