جست‌وجوی استاد و پژوهشگر

• Computer Science
• Information Engineering
• Deep Learning
• +۳ مورد دیگر

Di Zhang is affiliated with Guangdong Medical College's School of Information Engineering and holds a PhD in Synthetic Aperture Radar Image Interpretation from the University of Hamburg (2022). Their research focuses on interdisciplinary fields such as deep learning, remote sensing, optimization algorithms, and their applications in medical imaging, environmental science, and education technology. They have published extensively in top-tier journals like IEEE Access, IEEE Transactions on Pattern Analysis and Machine Intelligence, and Remote Sensing. Key affiliations: University of Hamburg (PhD), Guangdong Medical College, and others listed in disambiguation entries. Research interests include AI-driven medical diagnostics, SAR image analysis, IoT data management, and educational assessment systems. Recent work emphasizes deep learning frameworks for image processing, algorithm optimization, and multimodal data fusion. Publications span diverse topics such as migraine diagnosis via radiomics, social support in online learning, and robust visual SLAM systems. Their work bridges theoretical advancements with practical applications in healthcare, robotics, and environmental monitoring.

• Perioperative Medicine
• Critical Care Medicine
• Liver Transplantation
• +۳ مورد دیگر

François Carrier is a Clinical Associate Professor at the Faculty of Medicine , Université de Montréal , affiliated with the Department of Anesthesiology and Pain Medicine and practicing at the CHUM (Centre hospitalier de l'Université de Montréal) . He is a researcher at CRCHUM and holds a Clinician Researcher scholarship from the Fonds de Recherche du Québec – Santé (FRQ-S) . Education : PhD (in progress, Épidémiologie et biostatistique, Université de Montréal) MSc (Biomedical Sciences, Université de Montréal) DESS (Critical Care Medicine, Université de Montréal) DESS (Anesthesiology, Université Laval) MD (Université Laval) His research focuses on perioperative interventions to reduce postoperative complications in liver transplantation , hepatobiliary surgery , and cardiac surgery . He investigates transfusion practices , fluid management strategies , and clinical epidemiology in surgical contexts, particularly examining acute kidney injury , acute respiratory failure , and COVID-19 surgical outcomes . His work emphasizes clinical trials , cohort studies , and meta-analyses , with recent publications addressing topics like lung ultrasound elastography , sedation practices in ICU , and machine learning applications in blood transfusion . Although no explicit scientific awards are listed, his research is funded by major Canadian institutions like CIHR (IRSC) and FRQ-S . He leads and collaborates on multi-center projects such as REFIL (Restrictive Fluid management In Liver transplantation) , VALIANCE (Vascular Events in Noncardiac Surgery) , and CODA-19 (Collaborative Data Analysis for COVID-19) , focusing on fluid management , transfusion strategies , and critical care outcomes . As part of the Transfusion Medicine Chair at Université de Montréal, he contributes to research on blood product usage and donor pool expansion , bridging clinical practice with translational research in hepatic diseases and renal failure .

Zeynep Demiragliمشاهده پروفایل

دانشیار

• Particle Physics
• Dark Matter
• Higgs Physics
• +۳ مورد دیگر

Zeynep Demiragli is an Associate Professor at Boston University, where she contributes to the Compact Muon Solenoid (CMS) experiment at CERN's Large Hadron Collider (LHC). Her research focuses on dark matter detection, Higgs boson physics, and advancing CMS detector technologies. She currently leads the development of Advanced Telecom Computer Architecture-based Data, Trigger, and Control (DTC) boards for the CMS inner tracker system as part of the High Luminosity LHC (HL-LHC) upgrade, ensuring efficient pixel data readout for critical physics analyses. Her work includes probing dark matter interactions in proton-proton collisions and analyzing missing transverse momentum signals. As convener of the CMS jet and missing transverse momentum physics group, she coordinates algorithm development and performance monitoring for object reconstruction. She is deeply involved in HL-LHC preparations, emphasizing detector robustness under high-luminosity conditions. Zeynep's research interests span experimental particle physics, high-energy collider dynamics, and the Standard Model's extensions. She explores phenomena like light-by-light scattering and axion-like particles in ultraperipheral collisions. Her contributions to WH production studies and top quark pair polarization also highlight her expertise in precision measurements. Her recent articles emphasize dark matter searches, Higgs boson decays, and detector optimization. Collaborations with the BU Electronics Design Facility and leadership in jet physics groups underscore her technical and organizational roles. No scientific awards were explicitly mentioned, but her work contributes significantly to foundational physics advancements. Her advising and grants activities are not detailed in the provided texts. She is affiliated with the CMS experiment team, HL-LHC upgrade initiatives, and the APOLLO ATCA blades project. Her lab involvement includes pixel detector testing and hardware development at Boston University's facilities.

• Gambling and Gaming
• Technology and Society
• Public Health
• +۳ مورد دیگر

Dr. Alex Russell is an Associate Professor and Principal Research Fellow at CQUniversity within the School of Health, Medical and Applied Sciences, focusing on gambling-related research in the Experimental Gambling Research Laboratory. His work examines how technology transforms gambling and its societal impacts, including vulnerable populations and stigma reduction. He holds a PhD from the University of Sydney and has taught statistics and research methods across multiple institutions, earning teaching awards for his accessible approach. Dr. Russell’s education includes a BSc (Psychology), GradDipSci (Psychology with Merit), and a PhD from the University of Sydney, supervised by Prof. Bob Boakes. His research spans gambling advertising, wagering inducements, and sensory perception (e.g., wine odor description, synesthesia). His research interests include gambling harm measurement, safer gambling practices, and methodological innovations like Qualtrics survey design. He has been awarded the NSW Young Tall Poppy Award, ABC’s Top 5 Scientist, and multiple teaching accolades. His work has informed policy and public health interventions, including safer gambling messages and exclusion programs. Dr. Russell has supervised research on gambling’s environmental and financial impacts, including eco-anxiety mitigation and decision-making analysis. His articles explore topics like legacy harms, smartphone betting risks, and skill-based gambling mechanics. He collaborates with government bodies (e.g., NSW Office of Responsible Gambling) and has authored over 100 publications, emphasizing rigorous statistical analysis and real-world application.

Ali Bidramمشاهده پروفایل

دانشیار

• Power Systems Engineering
• Smart Grid Control
• Renewable Energy Integration
• +۳ مورد دیگر

Ali Bidram is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Mexico (UNM), Albuquerque, NM. He holds a Ph.D. from the University of Texas at Arlington (2014), an MS and BS from Isfahan University of Technology (2010 and 2008). His research focuses on control and protection of power systems, particularly in power electronics-intensive grids, smart grids, and renewable energy integration. He has received prestigious awards including the NSF CAREER Award and multiple teaching excellence recognitions. Education: Ph.D., Electrical Engineering, University of Texas at Arlington, 2014 MS, Electrical Engineering, Isfahan University of Technology, 2010 BS, Electrical Engineering, Isfahan University of Technology, 2008 Research Interests: Microgrid/Smartgrid control Grid modernization Renewable energy integration Power systems protection and control Scientific Awards: NSF CAREER Award UNM School of Engineering Junior Faculty Teaching Excellence Award IEEE Albuquerque Outstanding Engineering Educator Award New Mexico EPSCoR Mentorship Award Advising and Grants: Bidram has advised numerous projects and secured grants focusing on grid resilience, renewable integration, and cyber-physical security. His work includes collaborations with industry partners like Quanta Technology, LLC. Labs/Teams: He leads the Power Systems Emerging Technologies (PSET) research group, focusing on advanced grid technologies and cybersecurity solutions.

Felipe Espinosa Zapataمشاهده پروفایل

استاد

• Control Systems
• Robotics
• Smart Cities
• +۳ مورد دیگر

Felipe Espinosa Zapata is a Full Professor in the Electronics Department at the University of Alcala, Spain. He holds a Ph.D. in Telecommunications from the University of Alcala (1998) and an M.S. from the Polytechnic University of Madrid (1992). His research focuses on electronic and network control systems applied to intelligent transportation, smart cities, and industrial automation. He has led 18 publicly funded projects and 22 industry-funded initiatives, contributing to 9 patents. He is a co-author of 5 book chapters and over 40 journal articles, with extensive contributions to international conferences. Research interests include adaptive control for autonomous vehicles, event-based sensor networks, and robotic trajectory tracking. He has supervised 7 PhD theses and serves on the editorial boards of two international journals. Notable projects include the GEINTRA group’s work on intelligent transport systems and the ALCOR project optimizing remote robot guidance. He also pioneered the Cuadrelec Chair in railway electronic control systems, collaborating with industry partners like Cuadrelec S.L. His work bridges theoretical control engineering with practical applications, emphasizing energy efficiency in IoT nodes, multi-AGV transportation systems, and self-triggered control mechanisms. Publications span robotics navigation, sensor fusion, and smart city infrastructure, reflecting his interdisciplinary approach to solving complex automation challenges. Education: Ph.D. in Telecommunications (University of Alcala, 1998) M.S. in Telecommunications (Polytechnic University of Madrid, 1992) Key Roles: Full Professor (since 2016), University of Alcala Head of Cuadrelec Chair of Electronic Control Awards and Recognition: Recipient of international collaborative grants and industry partnerships Grants and Projects: 18 public-funded research projects 22 industry-sponsored initiatives Labs and Teams: GEINTRA Research Group: Electronic Engineering Applied to Intelligent Spaces and Transport Cuadrelec Chair: Railway Electronic Control Systems

Damiano Pasettoمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Modeling
• Epidemiological Modeling
• +۲ مورد دیگر

Damiano Pasetto is Associate Professor in Numerical Analysis at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Informatics and Statistics. His office is located in the Alfa building of the Via Torino scientific campus. Pasetto's research develops computational methods for environmental and epidemiological systems. Core focuses include reduced-order modeling techniques applied to groundwater flow simulations and physics-informed neural networks for epidemiological forecasting. Recent publications demonstrate strong emphasis on epidemic modeling (40%), hydrological systems (33%), and computational method development (27%). COVID-19 spatial dynamics and cholera transmission mechanisms represent significant thematic clusters. He leads EPIDOC project (2021-2025) on data assimilation and optimal control for COVID-19 forecasting in Italy. Additional research includes Bayesian parameter estimation for hydrological transport models. Office hours: Tuesdays 14:00-15:00 in Alfa 314 or by appointment.

Biwesh Neupaneمشاهده پروفایل

مدرس ارشد

• Sustainable Finance
• Climate Finance
• International Investments
• +۵ مورد دیگر

Dr. Biwesh Neupane is a Senior Lecturer in Finance and Chancellor's Fellow in Sustainable Finance at the University of Strathclyde's Strathclyde Business School, Department of Accounting and Finance. He previously served as an Assistant Professor of Finance at the University of Birmingham. He holds a PhD in Finance from the University of Strathclyde (2019), an MBA (2012), and advanced certifications in Higher Education (PGCert HE, 2020) and Research Methodology in Business Management (2016). He is a Fellow of Advance HE. His research focuses on sustainable finance, climate finance, institutional investors, emerging markets, corporate governance, and bond markets. Recent work explores investor behavior during crises, ESG reputation risks, and fintech's impact on banking. He actively participates in international conferences and serves as an Associate Editor for the Journal of Sustainable Finance & Investment . Publications span leading journals like Journal of International Financial Markets Institutions and Money and European Financial Management . Key themes include pandemic market dynamics, board monitoring efficiency, green bond demand, and sovereign wealth fund strategies. His work addresses global financial challenges with a focus on emerging economies. Professional activities include peer reviewing for academic publishers, conference participation, and editorial roles. He has presented at major events like the Financial Management Association Annual Meeting and the Academy of International Business Conference.

• Particle Physics
• Dark Matter
• Higgs Boson
• +۳ مورد دیگر

Anwar A Bhatti is a Research Professor in the Physics Department at the University of Maryland, College Park. His primary research focuses on fundamental particle physics, particularly the search for dark matter and supersymmetry using experiments at the Large Hadron Collider (LHC) CMS collaboration and the LZ Dark Matter Experiment. He has contributed to the discovery of the Higgs boson and the top quark, and managed DOE-funded programs in dark matter research, including experiments like ADMX and PICO-60. His work also involves detector development for projects such as LUX-ZEPLIN, focusing on liquid xenon technology to detect weakly interacting massive particles (WIMPs). He has held roles in program management at the U.S. Department of Energy's High Energy Physics office, overseeing major international collaborations. Bhatti teaches introductory physics laboratory courses, including Physics 174, 107, and 275, emphasizing experimental techniques and data analysis for undergraduates. Affiliations: CMS Collaboration (LHC), LUX-ZEPLIN Experiment, CDF Collaboration (Fermilab) Research Projects: Supersymmetry searches, Dark Matter detection via LZ, Cosmic Frontier programs His research interests span particle physics fundamentals, detector technology, and the intersection of physics with medical applications, such as postoperative complication modeling. Bhatti's contributions include advancing understanding of the Standard Model's limitations and exploring new physics beyond it through experimental and theoretical approaches.

• Marketing
• Tourism
• Consumer Behavior
• +۷ مورد دیگر

Dr. Hassan Kalantari Daronkola is a Senior Lecturer in the Department of Management and Marketing at Swinburne University of Technology's School of Business, Law and Entrepreneurship. He holds a PhD from Swinburne and a Master's in Management Science and Engineering from Tsinghua University. His research focuses on consumer behavior, sustainable consumption, tourism, AI applications in marketing, and blockchain in health tourism. Dr. Daronkola has secured over $600,000 in grants, including projects on digital wallet UX design, fan equity research, and solar photovoltaic adoption. Education: PhD (Swinburne University), Master's (Tsinghua University) Research Themes: Luxury fashion, metaverse consumer behavior, blockchain in tourism, environmental values, panic buying dynamics Teaching: Known for high student ratings in Marketing Research and Analytics (9.2/10) Grants: Includes collaborations with Melbourne Rebels Rugby Union, mDetect Pty Ltd, and the Australian Mathematical Sciences Institute His recent articles explore servant leadership in hospitality, AI-driven customer loyalty in luxury markets, and behavioral determinants of sustainable garment reuse. He actively supervises PhD students in areas like circular economy transitions and social marketing for climate change. Notable contributions include linking blockchain benefits to health tourism performance and analyzing the commercial value of panic buying during crises. His work bridges academic theory with industry applications, advising organizations like Crown Casino and AFL clubs.

Lisa Fenkمشاهده پروفایل

پژوهشگر

• Visual Neuroscience
• Sensory Processing
• Active Sensing
• +۳ مورد دیگر

Lisa Fenk serves as a Lise Meitner Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany, where she leads the Active Sensing research group. Her position represents a prestigious independent research leadership role within the Max Planck Society's framework for early-career scientists. Dr. Fenk's research focuses on the neural mechanisms of active sensing, particularly investigating how visual systems differentiate between self-generated and external sensory inputs. Her groundbreaking work revealed that fruit flies move their retinas via tiny muscles in ways surprisingly similar to vertebrate eye movements. She leverages Drosophila's advanced genetic, physiological, and behavioral methods to understand how small brains form predictions that inform perception and behavior. Her research spans visual neuroscience, sensory processing, and comparative neuroethology with particular expertise in eye movement systems across species. Analysis of Dr. Fenk's publication record reveals a strong trajectory in visual neuroscience with emphasis on active sensing mechanisms. Her work demonstrates consistent innovation in understanding how organisms extract relevant visual features through purposeful eye movements. The research spans multiple model systems including Drosophila, spiders, and comparative analyses of visual processing across species, with increasing focus on neural circuit mechanisms in recent years. Dr. Fenk maintains an active research program with recent publications in high-impact journals including Science (2024), Nature (2022), and Current Biology (2021). Her work demonstrates strong international collaboration across neuroscience institutions in Europe and North America. As a Lise Meitner Group Leader, Dr. Fenk directs her own research laboratory investigating the fundamental mechanisms of active vision. Her team employs genetic, physiological, and behavioral approaches in Drosophila to uncover how brains differentiate between sensory inputs generated by self-movement versus external events, with broader implications for understanding predictive processing in neural systems.

• Paleoseismology
• Lacustrine Sedimentology
• Environmental Geology
• +۳ مورد دیگر

Dr. Katrina Kremer Dr. Katrina Kremer is a Researcher at the Swiss Seismological Service (SED) at ETH Zurich since 2016, advancing to Oberassistant in 2020. Her work focuses on reconstructing environmental, geological, and climatic changes using lake sediments, with particular emphasis on paleoseismic events and their impact on seismic hazard assessment. She coordinates proposals and contributes to projects funded by the Swiss National Science Foundation (SNSF). Education PhD in Earth Sciences (2014), University of Geneva: Reconstructing 4000 years of event history in deep Lake Geneva MSc in Geology (2009), Georg-August University of Göttingen BSc in Geology (2007), Georg-August University of Göttingen Baccalauréat (2004), Collège Mboutou Sow, Senegal Research Interests Katrina’s research integrates lacustrine sedimentology, paleoseismology, and geohazard analysis. She investigates earthquake and tsunami records preserved in lake sediments, emphasizing Switzerland’s seismic history. Key themes include: Paleoseismic event reconstruction Lake tsunami dynamics Subaqueous landslide mechanisms Climate impacts on sediment systems Grants & Awards Marie Heim Vögtlin Fellowship (SNSF, 2017–2019) ETH Zurich Foundation Project (2020–2021): Plastic contamination in lake sediments Professional Contributions Katrina leads projects such as Lake Tsunamis: Causes, Controls and Hazard (SNSF, 2019–present) and collaborates on geotechnical assessments of submerged slopes in Swiss lakes. Her work bridges field data, laboratory analysis, and numerical modeling to advance geohazard mitigation strategies. Labs & Teams She is embedded within the Swiss Seismological Service, collaborating with interdisciplinary teams on seismic risk assessment and lake geohazard studies.

• Dynamical Systems
• Control Theory
• Machine Learning
• +۳ مورد دیگر

Mario Sinani is a Researcher and Teaching Assistant in the Department of Aeronautics at Imperial College London's Faculty of Engineering. His research focuses on dynamical systems, control theory, and machine learning applied to nonlinear systems and fluid-solid interactions. He develops data-driven models for nonlinear control of flexible structures interacting with fluid flows under supervision of Dr. Andrew Wynn (Flow Control Group) and Prof. Rafael Palacios (Load Control and Aeroelastics Lab). Education includes a PhD in Data-Driven Modelling and Nonlinear Control from Imperial College London, and MSc/BSc in Mechanical Engineering with a focus on Control Theory and Robotics from National Technical University of Athens. Prior to Imperial, he worked at CERN on particle detector technologies and as an R&D engineer in Zurich developing dynamic light control systems. Teaching responsibilities include Control Systems for MSc students, Flight Dynamics and Control for MEng Aeronautical Engineering, and Applied Aerodynamics courses. His research integrates advanced mathematical analysis with cutting-edge machine learning techniques to address complex fluid-structure interaction challenges in aerospace systems.

• Network Security
• Adaptive Control Systems
• Cloud Computing
• +۳ مورد دیگر

Kaliappa Ravindran is a Professor at the School of Engineering , Department of Computer Science, City College of New York (CCNY). His research focuses on adaptive networked systems, cybersecurity mechanisms, and cyber-physical systems. Key areas include Moving Target Defense strategies, Quality-of-Service (QoS) management in distributed systems, and control systems for automotive and embedded applications. His work spans theoretical and applied domains, combining system management principles with cutting-edge technologies like cloud service optimization and video traffic orchestration. Recent projects address challenges in networked vehicle coordination, resilient data collection, and SLA compliance in cloud environments. He has contributed to foundational studies in particle physics, including resonance structure observations and decay dynamics analysis. Ravindran’s technical leadership is evident in his publications on autonomic management frameworks, virtual sensor abstraction, and fault-resilient data collection systems. His methodologies emphasize model-based engineering and software cybernetics to enhance system dependability. Current research trends highlight interdisciplinary approaches between computer science and physical systems, particularly in smart transportation and intelligent infrastructure. Notable contributions include: Development of autonomic adaptation mechanisms for networked systems QoS-oriented protocols for multi-vehicle cruise control Model-based SLA evaluation in distributed cloud services Discovery of new particle states and decay channels in high-energy physics Innovative solutions for replicated sensing and data multicasting Awards and recognitions are not explicitly listed in the text. His full description includes extensive technical details about his 150+ publications, spanning cybersecurity, embedded systems, and particle physics innovations.

Milad Shahvaliمشاهده پروفایل

پژوهشگر ارشد

• event-triggered control
• networked control systems
• fractional-order systems
• +۲ مورد دیگر

Milad Shahvali serves as a Post-Doctoral Researcher at the KIOS Research and Innovation Center of Excellence, University of Cyprus since January 2023, holding the academic rank of Research Fellow in systems and control engineering. His academic credentials include: M.Sc. in Systems and Control from Islamic Azad University of Najafabad, Iran (2014) Ph.D. in Systems and Control from Ferdowsi University of Mashhad, Iran (2022) His research focuses on advanced control methodologies with emphasis on event-triggered mechanisms for resource-constrained networks, stability analysis of fractional-order dynamical systems, and integration of reinforcement learning with game-theoretic approaches for multi-agent systems. These investigations target efficient solutions for cyber-physical infrastructure and distributed control applications. No scientific awards were documented in the source material. Information regarding student supervision, grant funding, or laboratory leadership was not provided in the available documentation. He operates within the KIOS Research and Innovation Center of Excellence, Cyprus' premier research hub for intelligent systems and critical infrastructure protection, which conducts interdisciplinary work spanning control theory, computer science, and electrical engineering.