جست‌وجوی استاد و پژوهشگر

• Optical fibers
• Lasers and optical physics
• Nonlinear optics
• +۷ مورد دیگر

Peter D. Dragic is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC). His research focuses on interdisciplinary advancements in optical fiber technology, materials science, and laser systems. Dr. Dragic leads efforts to overcome nonlinear limitations in optical fibers by integrating materials science innovations with waveguide engineering, targeting applications like high-power lasers, distributed sensing, and coherent LIDAR systems. Education & Affiliations: PhD in Optical Engineering (assumed based on academic rank) Director of the Micro & Nanotechnology Lab at UIUC Collaborations with Clemson University’s COMSET center Research Interests: Design of novel optical fibers using fluorosilicate, aluminosilicate, and crystalline materials Reducing quantum defects in fiber lasers to mitigate thermal effects Development of hypersonic acoustic wave-engineered fibers for Brillouin scattering suppression Laser-based remote sensing and LiDAR systems Key Achievements: Optica Fellow recognition (2020s) Over 50 peer-reviewed publications, including high-impact studies in Optics Letters and Nature Photonics Development of sapphire-derived all-glass fibers and fluorosilicate Yb-doped fibers Grants & Funding: Air Force Office of Scientific Research (FA9550-16-1-0383) U.S. Department of Defense DE JTO (N00014-17-1-2546)

Avi Goldfarbمشاهده پروفایل

استاد

• Digital Economics
• Economics of Artificial Intelligence
• Information and Communications Technology
• +۴ مورد دیگر

Avi Goldfarb is Professor of Marketing at the Joseph L. Rotman School of Management, University of Toronto, where he holds the Rotman Chair in Artificial Intelligence and Healthcare. He serves as Chief Data Scientist at the Creative Destruction Lab and Research Associate at the National Bureau of Economic Research (NBER). His academic career spans 2002-2012 as Assistant and Associate Professor, becoming Professor of Marketing in 2012. Rotman Chair in Artificial Intelligence and Healthcare (2018-present) Professor of Marketing (2012-present) Research Associate, NBER (2014-present) Chief Data Scientist, Creative Destruction Lab (2015-present) Research Interests : Specializing in digital economics and the economics of artificial intelligence, his work bridges technology, marketing, and public policy. Key focus areas include: Digital economics and platform behavior AI adoption in healthcare systems Quantum computing economic implications Privacy regulation and data markets AI's impact on labor and inequality General purpose technology frameworks Publication Trends : His recent work spans AI implementation strategies across industries, digital behavior economics, and emerging technology commercialization. Key subfields include AI adoption patterns, digital privacy frameworks, quantum computing applications, and workplace health safety analytics. Scientific Recognition : INFORMS Society of Marketing Science Long Term Impact Award (2018) Roger Martin Award for Excellence in Teaching (2017) Leadership Roles : Former Senior Editor at Marketing Science (2016-2021), with editorial board memberships at Management Science, Journal of Marketing Research, and Journal of Economics and Management Strategy. He contributes to the Acceleration Consortium and Schwartz Reisman Institute for Technology and Society.

Weimin Huangمشاهده پروفایل

استاد

• Radar Remote Sensing
• Ocean Remote Sensing
• GNSS Reflectometry
• +۳ مورد دیگر

Professor Weimin Huang is a full Professor in the Faculty of Engineering and Applied Science at Memorial University of Newfoundland, where he has served since 2010 and became a full professor in 2019. He held the position of Department Deputy Head from 2020 to 2023. Education: BSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1995 MSc in Radio Physics (Radio Wave Propagation and Antennas), Wuhan University, 1997 PhD in Space Physics, Wuhan University, 2001 MEng in Electrical and Computer Engineering, Memorial University of Newfoundland, 2004 Postdoctoral Fellowship in Electrical and Computer Engineering, Memorial University of Newfoundland, 2007 Research Focus: Huang specializes in radar-based ocean remote sensing , with core expertise in high-frequency ground wave radar (HF radar) , GNSS Reflectometry , and synthetic aperture radar (SAR) . His work targets ocean surface parameter mapping including wind speed, oil spills, ship detection, and sea ice monitoring through advanced digital image processing and applied electromagnetics . Recent innovations integrate deep learning (CNNs, physics-informed models) with radar data for enhanced environmental monitoring. Publication Trends: His 2025 publications reveal a strong shift toward AI-driven solutions in remote sensing, with 5 high-impact papers in IEEE TGRS and Remote Sensing focusing on wind speed estimation (using GNSS-R and wavelet-CNN hybrids), oil spill mapping via SAR, ship detection with HF radar, and climate change analysis. These works demonstrate cross-disciplinary integration of machine learning with geophysical remote sensing. Scientific Awards: No awards were documented in the source material. Advising & Collaboration: With 358 co-authors including Bahram Salehi and Biyang Wen, Huang maintains a robust global research network. While specific student supervision isn't listed, his leadership role and publication volume indicate active graduate mentoring. The text mentions no grant details. Research Infrastructure: His work operates within Memorial University's engineering faculty, leveraging radar facilities for ocean sensing. Collaborations span institutions including Wuhan University and SUNY, suggesting participation in international radar remote sensing consortia focused on maritime applications.

Julio Lloret-Fillolمشاهده پروفایل

استاد

• Catalysis
• Inorganic chemistry
• Artificial photosynthesis
• +۷ مورد دیگر

Prof. Julio Lloret-Fillol is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ) and an ICREA Research Professor since 2015. His work bridges homogeneous catalysis , material science , and automation to develop sustainable chemical processes and solar fuels. He earned his PhD in 2006 from Universidad de Valencia under Prof. Lahuerta and J. Pérez-Prieto, followed by postdoctoral research at University of Heidelberg (MEyC and Marie Curie Fellowships). Awards: 2024 RSEQ-GEQO Award on Excellence 2023 Fellow of the Royal Society of Chemistry 2022 Ramón Areces Grant 2019 Thieme Chemistry Journals Award 2017 Young Academy of Europe 2015 Young Researcher RSEQ Award Research Interests: Water oxidation catalysis CO₂ reduction to value-added chemicals Artificial photosynthesis Electrocatalytic hydrogen generation Spin-off technologies for green hydrogen and photoreactors Notable Publications: 2024: Angew. Chem. Int. Ed. (electrocatalytic ketones from CO₂) 2024: ACS Catal. (Fe-doped NiO for OER) 2023: ACS Catal. (COF-based cobalt catalysts) 2022: JACS (OER mechanism with cobalt complexes) 2022: Angew. Chem. Int. Ed. (chloroalkane activation) Spin-offs: Treellum Technologies (photoreactors) JOLT Solutions (electrodes for hydrogen production)

Anna H Grummonمشاهده پروفایل

استادیار

• Food Policy
• Health Behavior
• Nutrition Science
• +۴ مورد دیگر

Anna H. Grummon is an Assistant Professor of Pediatrics (General Pediatrics) and Health Policy at Stanford University School of Medicine. She serves as Director of the Stanford Food Policy Lab , conducting interdisciplinary research at the intersection of nutrition science, public health, and environmental sustainability. PhD & MSPH in Health Behavior, UNC Gillings School (2019) BA with Honors in Human Biology, Stanford (2011) Postdoctoral Fellowship, Harvard T.H. Chan School of Public Health (2019) Her research focuses on evaluating policy interventions to improve dietary quality through: Experimental studies of food labeling (e.g., nutrient warnings, ecolabels) Beverage taxation and food assistance programs Environmentally sustainable diets using simulation modeling Health communication effectiveness across diverse populations Recent publications in Nature Food and JAMA Network Open demonstrate: 35% reduction in dietary carbon footprint through simple substitutions Graphic labels increase attention to nutrition warnings (Appetite 2024) Weight-neutral labels reduce stigma while maintaining effectiveness Major recognitions include: 2024 Clinical Science Research Award (Stanford Pediatrics) 2023 Jules Hirsch Research Innovation Award (The Obesity Society) 2020 UNC Dean’s Distinguished Dissertation Award Dr. Grummon's work has been funded by: National Institutes of Health Robert Wood Johnson Foundation New York City Department of Health and featured in New York Times , Washington Post , and NPR coverage.

Bradley Schmerlمشاهده پروفایل

پژوهشگر

• Software Engineering
• Software Architecture
• Self-Adaptive Systems
• +۵ مورد دیگر

Bradley Schmerl serves as a Principal Systems Scientist in the Software and Societal Systems Department (S3D) within Carnegie Mellon University's School of Computer Science. His research advances software engineering practices for modern challenges in distributed heterogeneous systems, self-adaptation, and cyber-physical integration. He leads the ABLE research group and actively mentors students in the Masters in Software Engineering program while teaching core courses like Software Architecture and Software Engineering Practicum. Dr. Schmerl's work addresses critical challenges in composing continuously evolving software systems, including components from untrusted third parties and on-the-fly recomposition for environmental changes. His research develops reusable, analyzable tools for software composition with emphasis on model-based adaptation, uncertainty management, and cross-language integration. Key projects include Rainbow for runtime architecture reflection, Acme for formal architectural foundations, and Cyber-physical Systems research linking software models with physical dynamics. Analysis of his 2023-2025 publications reveals intensifying focus on robotics software architecture (particularly ROS-based systems), explainable AI for architectural tradeoff analysis, and configuration management in adaptive systems. Trends show growing integration of machine learning for auto-tuning, empirical studies of misconfigurations, and dimensionality reduction techniques for visualizing design spaces—consistently bridging theoretical rigor with practical tool development for real-world applications. Scientific Awards: No specific awards were documented in the source materials. Dr. Schmerl serves as Practice Area Lead and mentor in CMU's Masters in Software Engineering program, guiding client projects including Rainbow UI for self-adaptive framework interfaces, CoBot UI for telepresence robots, and Educational Telepresence Tasking Language development. His research receives support through ABLE group projects funded by grants targeting software architecture foundations, adaptation mechanisms, and cyber-physical system validation. As a core member of the ABLE research group, he directs investigations into architecture-based self-adaptation with active projects spanning Rainbow (runtime architecture models for dynamic adaptation), Acme (formal architectural styles and tools), and Cyber-physical Systems (software-physical model integration). The group also maintains legacy work in End-User Architecting, Architecture Evolution, and service-oriented platforms for intelligence analysis through SORASCS.

• Human Factors
• Cybersecurity
• Cognitive Science
• +۶ مورد دیگر

Dr. Oliver Guidetti serves as a Level A Lecturer in Psychology at the University of Wollongong, specializing in human factors, cyber vigilance, and applied cognitive science. His interdisciplinary research bridges psychology, cybersecurity, and artificial intelligence to address critical challenges in human-machine collaboration and security operations environments. His educational foundation includes: Bachelor of Mathematics from Edith Cowan University (2011-2014) Bachelor of Science in Psychology from Edith Cowan University (2011-2014) Bachelor of Science (Psychology Honours) from Edith Cowan University (2015) Doctor of Philosophy from Edith Cowan University (2019-2022) Guidetti's research centers on the cognitive and physiological dimensions of human performance in security contexts. He investigates how eye-tracking, biometric monitoring, and neuroergonomic approaches can optimize vigilance in cybersecurity operations, while exploring socio-technical impacts of AI on human decision-making. His work extends to digital relationship literacy and AI bias mitigation, demonstrating applications across defense, healthcare, and industrial settings through collaborations with the Department of Home Affairs and Western Australian Cyber Defence Taskforce. His 2023-2024 publications reveal a cohesive research trajectory focused on cyber vigilance task design, human-AI teaming frameworks, and neuroergonomic validation methods. The corpus shows increasing integration of biometric data with cognitive theory to develop real-time performance assessment tools, alongside growing attention to ethical AI governance and cross-sector resilience in critical infrastructure protection. As an educator, Guidetti supervises Honours and PhD students in human factors and AI-driven research while teaching psychology research methods and cybersecurity applications. He co-developed an Australian Psychological Society-certified professional development course for psychologists entering cybersecurity fields, demonstrating his commitment to translating research into industry practice. His professional leadership includes advising on cyber vigilance frameworks, developing AI bias mitigation strategies, and serving on APS committees focused on digital psychology applications. Current projects involve designing AI-driven dating simulators for relationship literacy interventions and creating certified training programs for security operations personnel.

• Radiation Oncology
• Medical Physics
• Computational Radiation Oncology
• +۶ مورد دیگر

Ivaylo Mihaylov is Professor of Clinical Radiation Oncology at the University of Miami Miller School of Medicine with dual appointment as Adjunct Associate Professor in Biomedical Engineering. Previously held faculty positions at University of Arkansas for Medical Sciences, Brown University, and University of Rhode Island. His educational background includes: PhD in Theoretical Astrophysics, University of Toledo (2003) MS, Sofia University, Bulgaria (1996) Post-Doctoral Fellowship in Radiation Oncology, Virginia Commonwealth University (2006) Research spans computational radiation oncology including radiation transport theory, Monte Carlo modeling, and image processing. Pioneered incorporation of CT-based tissue density into radiotherapy optimization. Current focus on radiation-immunotherapy synergy targeting metastatic cancer via abscopal effect mechanisms. Recent publications (2021-2023) analyze immunotherapy-radiation interactions, emphasizing pneumonitis prediction through radiomics and biomarker identification in lung cancer/glioblastoma. Work bridges computational modeling with clinical translation in cancer treatment. Mentors PhD candidates in CAMPEP-accredited Medical Physics program and teaches residents in dosimetry, optimization algorithms, and Journal Club since 2013. Board-certified Therapeutic Medical Physicist (ABR) with Florida licensure. Active in Radiation Oncology department and Biomedical Engineering program, integrating clinical service with academic innovation in treatment planning and cancer immunology.

• Organizational Management
• Project Management
• Social Management
• +۶ مورد دیگر

Kristian Hadjiev is a Professor at the Department of Administration and Management of New Bulgarian University (NBU) . With over 25 years of academic experience since 1997, he specializes in virtual teams , organizational design , and project management , focusing on high-performance organizations and cultural change management . Received his PhD from NBU in 2004 and a second Doctorate from the Higher Attestation Commission (VAK) in 2009. Has served as Head of the Department of Business Administration (2012) and currently leads in virtual team management. Active in editorial boards including the International Journal of Private Higher Education and the Bulgarian Academy of Sciences' Economic Thought journal. His research explores virtual team effectiveness , organizational transformation , and innovative management models , supported by projects like TUdi (2021-2025) for EU-China soil sustainability and earlier work on training virtual teams in business competitions. He has developed curricula for online education, including e-health programs, and contributed to accreditation standards for doctoral programs. Prof. Hadjiev participates in international conferences (e.g., Struga International University , Dubai Management Conference ) and co-founded the Center for Risk Analysis (CAUR) while mentoring students and contributing to policy frameworks for higher education reform.

Giancarlo Pascaliمشاهده پروفایل

دانشیار

• Radiopharmaceutical Sciences
• Radiochemistry
• Automation in Radiopharmaceutical Production
• +۷ مورد دیگر

Dr. Giancarlo Pascali is a Conjoint Associate Professor at the School of Chemistry, UNSW Sydney , and Radiochemistry Team Leader at ANSTO's Camperdown cyclotron site. With a PhD in "Innovative Biomedical Technologies" from the University of Lecce (2004), he has held research positions at IFC-CNR , NIH , and GMP facilities in Milan and Pisa. His expertise spans radiochemical methods , radiopharmaceutical development , and microfluidic automation for nuclear medicine production. Education: PhD in Innovative Biomedical Technologies, University of Lecce (2004) BSc in Chemistry, University of Pisa (2001) Research interests focus on M 3 : Molecules, Methods, Machines . In Molecules , he designs radiopharmaceuticals for cancer , dementia , and inflammatory diseases . For Methods , his work explores photochemistry , electrochemistry , and mechanochemistry to label biomolecules with 18 F and other isotopes. Under Machines , he pioneers microfluidic systems for automated radiochemistry, emphasizing safety and process reliability . Editorial & Leadership Roles: Editorial Board Member of Nuclear Medicine and Biology , Contrast Media & Molecular Imaging , and Current Radiopharmaceuticals Executive Board of ANZSNM , ARTnet , and ASMI Asia-Oceania Director and iSRS2025 Chair for SRS

Song Jun-myeongمشاهده پروفایل

استاد

• Analytical Pharmacology
• Nanomedicine
• 3D Bioprinting
• +۵ مورد دیگر

Song Jun-myeong is a Professor at Seoul National University (SNU) College of Pharmacy, specializing in Analytical Pharmacology and Nanomedicine. He has held leadership roles including Director of the Library and Information Center at SNU College of Pharmacy and Director of the Korean Biochip Society. Bachelor of Science, Sogang University (1991) Master of Science, Sogang University (1993) Ph.D., Kyushu University (1997) His research focuses on tumor clearing imaging, 3D bioprinting, drug analysis, and photodynamic therapy. He utilizes quantum dot-based imaging and single-cell cytometry for cancer diagnostics and drug mechanism studies. Analysis of his publications reveals a consistent emphasis on nanotechnology applications for pharmacological research, particularly in cancer diagnostics, drug resistance mechanisms, and antimicrobial nanomaterials. His work bridges analytical chemistry with biomedical applications. He serves on multiple scientific advisory boards and committees, including the Korean Society for Biotechnology and Bioengineering and the Pharmacist National Examination Question Development Committee. Song leads the Laboratory for Nanomedicine at SNU College of Pharmacy, advancing technologies in quantum dot imaging and nanomaterial synthesis for pharmaceutical applications.

Anne Jenningsمشاهده پروفایل

پژوهشگر

• Paleoclimatology
• Paleoceanography
• Glaciology
• +۳ مورد دیگر

Anne Jennings is a Senior Research Associate at the Institute of Arctic and Alpine Research (INSTAAR) at the University of Colorado Boulder, where she serves as Co-editor of Arctic, Antarctic and Alpine Research . Her research focuses on Arctic paleoclimate reconstruction through marine sediment analysis, with particular expertise in ice-sheet/ocean interactions and foraminiferal micropaleontology. Her academic credentials include: PhD in Geology from the University of Colorado Boulder (1989) BS in Geology from Duke University (1980) Dr. Jennings' work centers on Quaternary paleoenvironmental changes in the Arctic, utilizing sediment cores from Baffin Bay, Lancaster Sound, and Nares Strait to investigate ice stream dynamics, paleomagnetic variations, and biomarker-based climate proxies. Her research connects past glacial-interglacial transitions to contemporary climate change scenarios, emphasizing the role of Arctic systems in global climate regulation. Analysis of her 15 most recent publications (2021-2025) reveals consistent focus on Arctic paleoceanography, with methodological emphasis on IODP expeditions, micropaleontological analysis, and multi-proxy sediment studies. Key research trajectories include ice sheet-ocean coupling during deglaciation, development of novel paleoclimate proxies, and reconstruction of Holocene sea-ice dynamics in critical Arctic gateways. Her scholarly contributions have been recognized through: Fellowship in the Geological Society of America (2015) Creative Research Award from the CU Boulder Graduate School (1986) As leader of the Micropaleontology Lab and contributor to Core Processing & Sedimentology Labs at INSTAAR, Dr. Jennings directs specialized analyses of marine sediments for international research collaborations, including major IODP expeditions targeting Arctic glaciated margins and paleoclimate archives.

Stefano Pogutzمشاهده پروفایل

استاد

• Corporate Sustainability
• Environmental Management
• Corporate Social Responsibility (CSR)
• +۷ مورد دیگر

Stefano Pogutz is a Professor of Practice in Corporate Sustainability at SDA Bocconi School of Management , where he also serves as Director of the full-time MBA program. He acts as a Strategic Advisor at Bocconi 4 Innovation , the university’s pre-accelerator and accelerator. Education: Degree in Business Administration from Bocconi University; PhD in International Management - Innovation, Services, and Sustainability from Sant'Anna School, Pisa. Research Interests focus on: Development of sustainable and circular business models Ocean sustainability and blue economy frameworks Interdependence between socio-ecological systems and corporate strategies Implementation of ESG (Environmental, Social, Governance) criteria in business operations Impact investing and corporate governance Innovation management for sustainability Publications span peer-reviewed journals like Ecological Economics , AMBIO , and Journal of Business Ethics , with recent works emphasizing business responses to ocean sustainability and strategic ESG integration . His 2024 research on Business for Ocean Sustainability was recognized by the Financial Times in the Responsible Business Education Awards. Scientific Awards : Outstanding Contribution to the CEMS MIM Award (2019) Innovation for Teaching Award (2017) Teaching Excellence Awards (2013, 2012, 2010) Advisory Roles include reviewer for international journals, Board of Directors member for Italian and international companies, and Chair of the One Ocean Foundation's Scientific Committee since 2018.

• General Cardiology
• Pulmonary Hypertension
• Heart Failure
• +۴ مورد دیگر

John J. Ryan is a Professor of Medicine in the Division of Cardiovascular Medicine at the University of Utah School of Medicine , specializing in General Cardiology and Pulmonary Hypertension . He holds adjunct associate professorships in Family & Preventive Medicine, Orthopaedics, and Radiology & Imaging Sciences. Dr. Ryan’s research focuses on heart failure with preserved ejection fraction , pulmonary vascular disease , and right ventricular function . His work explores statin therapy , microvascular dysfunction , and novel treatments for pulmonary hypertension . His publications emphasize cardiovascular outcomes in pulmonary hypertension, exercise physiology in heart failure, and digital health tools. He is board-certified in Advanced Heart Failure & Transplant Cardiology , Cardiovascular Disease , and Echocardiography . Clinically, he practices at the University of Utah Hospital , with consistently high patient satisfaction scores ( 4.9/5 ). His academic training includes M.D. from University College Cork , followed by residency at Boston Medical Center and fellowships at the University of Chicago Medical Center .

Hwanhee Hongمشاهده پروفایل

دانشیار

• Bayesian Statistical Methods
• Comparative Effectiveness Research
• Network Meta-Analysis
• +۵ مورد دیگر

Hwanhee Hong is an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine and a member of the Duke Clinical Research Institute. Affiliated with the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the B&B Faculty, Dr. Hong maintains an active research program focused on statistical methodology development for clinical applications. Dr. Hong's educational background includes a Ph.D. in Biostatistics from the University of Minnesota (2013), an M.S. in Biostatistics from Harvard University (2010), and a B.S. in Statistics from Chung-Ang University, Korea (2008). Prior to joining Duke, they completed a postdoctoral fellowship at Johns Hopkins Bloomberg School of Public Health under Dr. Elizabeth A. Stuart. Research interests center on Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error correction, and data integration across multiple sources. Their work emphasizes adaptive information borrowing to address clinical and public health questions, particularly in developing flexible Bayesian modeling frameworks that synthesize diverse data streams for evidence generation. Analysis of recent publications reveals consistent methodological focus on network meta-analysis techniques, causal inference with error-prone covariates, generalizability assessment, and time-to-event analysis. The research spans applications in pediatrics, cardiology, obesity treatment, and vaccine effectiveness, demonstrating strong translational impact across medical domains. Dr. Hong actively collaborates with biostatisticians, epidemiologists, clinicians, and health policymakers through multiple funded projects, though no formal awards or fellowships are documented in the provided materials. Participant, Faculty Success Program, National Center for Faculty Development & Diversity (2023) Participant, Faculty Curriculum on Anti-Racism, Duke Office of Faculty Advancement (2021) Teaching responsibilities include BIOSTAT 719: Generalized Linear Models. Current grant funding spans eight major projects totaling over $20 million, primarily from NIH and PCORI, addressing pediatric care coordination, mental health interventions, obesity treatment, diabetes management, and advanced biostatistical methodology development. Dr. Hong's laboratory work focuses on computational approaches for data integration, maintaining active collaborations with the Duke Clinical Research Institute and multiple external institutions including Johns Hopkins University and North Carolina State University.