جست‌وجوی استاد و پژوهشگر

• Ancient Near Eastern Studies
• Assyriology
• Archaeology
• +۳ مورد دیگر

Dr. Cinzia Pappi is a Researcher at the Department of Ancient Near Eastern Studies (Institut für Altorientalistik) at Freie Universität Berlin. She is affiliated with the Einstein Center Chronoi, a hub for interdisciplinary research in history and cultural studies. Her work focuses on archaeology, Assyriology, and the cultural heritage of the Ancient Near East. She specializes in regional studies of Mesopotamia, including settlement patterns, ancient political structures, and the analysis of archaeological sites such as Satu Qala in Iraqi Kurdistan. Her research integrates fieldwork, textual analysis, and digital documentation methods to explore topics like cultural continuity, regional identity, and the interplay between religion and governance. She has contributed to international symposia and collaborative projects, including the 5th Rencontre Assyriologique International and the Melammu Symposium. Dr. Pappi’s publications address themes ranging from ancient borderlands to the preservation of archaeological finds through modern technologies. While no awards are explicitly mentioned, her active participation in academic networks and leadership in field projects highlight her scholarly contributions. She collaborates with institutions globally, advancing the understanding of ancient Near Eastern civilizations through rigorous, interdisciplinary approaches.

John A Goffمشاهده پروفایل

استاد پژوهشی

• Marine Geology
• Coastal Processes
• Geostatistics
• +۳ مورد دیگر

John A. Goff is a Research Professor at the Institute for Geophysics within The University of Texas at Austin's Jackson School of Geosciences. His research focuses on seafloor morphology, acoustic reflectivity, and shallow seabed stratigraphy using advanced geophysical techniques. He holds a Ph.D. from the Massachusetts Institute of Technology-Woods Hole Oceanographic Institution Joint Program and a B.S. from Brown University. Key research areas include coastal sediment transport dynamics, hurricane impacts (e.g., Hurricane Ike near Galveston), and glacial processes near Hubbard Glacier, Alaska. He has led multidisciplinary projects in environments like the Gulf of Mexico, New Jersey continental shelves, and the Arctic. His work integrates statistical analysis of geophysical data to understand geological processes shaping seafloor morphology and sedimentary structures. Dr. Goff teaches in the UTIG Marine Geology and Geophysics Field Course, emphasizing hands-on geophysical education. His fieldwork includes deployments of autonomous underwater vehicles (AUVs) to study ice-proximal submarine processes. He has contributed to initiatives enhancing diversity in geoscience education and authored over 80 peer-reviewed publications.

Adam Ginsburgمشاهده پروفایل

دانشیار

• High-mass Star Formation
• Radio and millimeter astronomy
• Molecular Interstellar Medium
• +۳ مورد دیگر

Adam Ginsburg is an Associate Professor and Graduate Coordinator in the Department of Astronomy at the University of Florida, College of Liberal Arts and Sciences. His research focuses on high-mass star formation, radio and millimeter astronomy, and the interstellar medium. He holds a Ph.D. in Astrophysics from the University of Colorado (2013), preceded by an M.S. (2009) and B.S. (2007) from the same university. Prior to UF, he held postdoctoral positions at the European Southern Observatory (2013–2016) and the National Radio Astronomy Observatory (2016–2019). His research interests include turbulence in the interstellar medium, astrochemistry, and the development of astronomical software tools. Recent work emphasizes the Central Molecular Zone (CMZ) and massive protoclusters, utilizing ALMA and JWST data to study star formation dynamics, magnetic fields, and molecular cloud structures. He leads the ALMA-IMF survey and contributes to projects like CASCADE and ACES, advancing understanding of galactic center physics and star formation mechanisms. Ginsburg is also actively involved in software development for observational astronomy, including tools like ndcube and photutils . Notable research trends include 3D structural analysis of the CMZ, magnetic field studies in star-forming regions, and the interplay between turbulence and star formation efficiency. His work bridges observational data with theoretical models, leveraging multi-wavelength observations to address fundamental questions about galactic evolution and stellar birth processes. Grants and collaborations include leadership roles in large-scale surveys and software development initiatives. He advises students through the UF astronomy graduate program and maintains active involvement in departmental governance as Graduate Coordinator.

• Geophysics
• Seismology
• Volcano Monitoring
• +۵ مورد دیگر

Dr. Ivan Lokmer is an Associate Professor in Petroleum Geoscience at the School of Earth Sciences, University College Dublin. His research focuses on geophysical inversion techniques, volcano seismology, and seismic wave propagation in complex media. He holds a PhD from UCD and has expertise in numerical modeling, machine learning applications, and subduction zone dynamics. Key research areas include stress field analysis along the Hikurangi Margin, diffraction imaging using deep learning, and long-period volcanic seismic event mechanisms. He has coordinated modules such as 'Applied Geophysics' and 'Geocomputation' at UCD since 2019. Education: BSc in Physics (University of Zagreb, 1997), MSc in Geophysics (University of Zagreb, 2002), PhD in Volcano Seismology (UCD, 2008). Research highlights include studies on seismic source inversion, borehole stress orientation variability, and volcanic tremor analysis. His work integrates field observations with computational methods to advance understanding of tectonic and volcanic processes. Notable contributions include the FAME project using fiber-optic sensing for volcano monitoring and publications on subduction zone stress patterns. Teaching responsibilities include courses on geophysical methods and geocomputational tools. Ongoing projects focus on machine learning in seismic imaging and geohazard analysis.

Christopher Wilsonمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Decision Making
• Risk-Taking Behavior
• +۵ مورد دیگر

Dr. Christopher Wilson is an Associate Professor (Research) at Teesside University's School of Social Sciences and Law, specializing in Psychology. He leads the MIND Lab, established in 2024, which fosters collaborative research in cognitive neuroscience and applied decision-making. His work focuses on understanding risk-taking behaviors in domains like gambling, cybersecurity, and mental health, with a particular interest in how cognitive processes and psychopathologies influence these behaviors. Wilson's academic journey includes a PhD from the National University of Ireland, Maynooth (2010), and he is a Chartered Psychologist with the British Psychological Society. He teaches research methods and analysis across undergraduate, master's, and doctoral levels and has supervised numerous PhD students. Notable external roles include serving on funding review panels for the Dutch Research Council (NWO), UKRI, and Swiss Science Foundation, as well as editorial roles for journals like Frontiers in Psychology. His research has been funded by organizations such as The Academic Forum for the Study of Gambling and North Yorkshire County Council. Key themes in his work include virtual reality applications in visual perception, functional near-infrared spectroscopy (fNIRS) data analysis, and the neurological underpinnings of economic decision-making. Recent projects explore social identification's role in gambling behavior and recovery processes from gaming addiction. Wilson's scientific contributions include developing the 'Cobi fNIRS' R package for neuroimaging data processing and publishing on topics ranging from action observation in motor learning to the affect heuristic in cybersecurity. His awards include Fellow of the Higher Education Academy and Chartered Membership of the British Psychological Society.

• Electromagnetics
• Wireless Communication
• RF Sensing

Lillian Olule is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick, based at Head Hall D68 in Fredericton. Her research focuses on electromagnetics, wireless communication, and RF sensing technologies. Her work spans antenna design, energy harvesting systems, and biomedical sensing applications. Recent projects include metamaterial-based energy harvesters, reconfigurable wireless platforms, and non-contact vital sign monitoring using radar technology. Her publication trends show a strong emphasis on practical RF applications, with consistent work in antenna miniaturization and efficiency optimization. Notable contributions include advancements in RF sensing for healthcare diagnostics and sustainable energy solutions.

Prashant Khanduriمشاهده پروفایل

استادیار

• Optimization for Machine Learning
• Federated Learning
• Robust Optimization
• +۲ مورد دیگر

Prashant Khanduri is Assistant Professor in Computer Science at Wayne State University, specializing in optimization methods for machine learning. His research develops efficient algorithms for federated learning, robust optimization, and bilevel problems in distributed environments. Awarded Best Student Paper at IEEE SPAWC (2019) and Syracuse University's Doctoral Prize (2020), his work addresses communication efficiency, adversarial robustness, and theoretical guarantees. Current projects focus on Byzantine-robust learning, fairness-aware transformers, and federated time-series forecasting.

Ningyu Liuمشاهده پروفایل

استاد

• Plasma Discharge Physics
• Ionospheric Physics
• Radio Science
• +۴ مورد دیگر

Ningyu Liu is a Professor of Physics & Astronomy at the University of New Hampshire (UNH), with a joint appointment in the Space Science Center at the Institute for the Study of Earth, Oceans, and Space (EOS). His research focuses on plasma discharge physics, ionospheric physics, radio science, and remote sensing, particularly studying electrical discharges like lightning, jets, and sprites, and their effects on near-Earth space environments. Education: Ph.D., Electrical & Electronic Engineering Technology, Pennsylvania State University M.S., Electrical Engineering, Zhejiang University B.S., Electrical Engineering, Zhejiang University Research Interests: Electromagnetics, High-Performance Computing, Numerical Analysis Plasma Discharge Dynamics, Radio & Optical Instrumentation Computational Electrodynamics, Numerical Simulation Tools His work emphasizes developing simulation tools and instruments to study lightning initiation, sprite formation, and space-environment interactions. Publications in top journals like Science Advances , Physical Review Letters , and Geophysical Research Letters highlight his contributions. Students have won awards for their research, and his group collaborates with diverse international teams. Media coverage includes Washington Post , BBC , and Popular Science . Advising and Grants: Guides students in experimental design and data analysis Secures funding for interdisciplinary projects (details not specified) Labs/Teams: Member of UNH’s Space Science Center Collaborates with institutions like LOFAR (Low-Frequency Array) and the Long Wavelength Array (LWA)

Nathan Schwadronمشاهده پروفایل

استاد

• Solar Physics
• Heliospheric Studies
• Space Weather
• +۴ مورد دیگر

Nathan Schwadron is a Professor in the Department of Physics & Astronomy at the University of New Hampshire's College of Engineering and Physical Sciences. His research focuses on solar physics, heliospheric dynamics, and interstellar medium interactions. He teaches courses including statistical physics and doctoral research supervision. Education includes a Ph.D. in Physics from the University of Michigan (year not specified) and a B.A. in Physics from Oberlin College. His work utilizes instruments like IBEX and Parker Solar Probe to study cosmic radiation, solar wind, and interstellar boundaries. Key research interests involve solar energetic particles, heliospheric magnetic fields, and interstellar cloud mixing. Recent studies analyze solar wind dynamics near the Sun and global heliosphere observations. He has contributed to over 20 peer-reviewed publications since 2000, with recent emphasis on Parker Solar Probe data and space weather modeling. Labs/Teams: Likely involved with the Interstellar Boundary Explorer (IBEX) mission team and Parker Solar Probe science collaboration groups. Future work focuses on Interstellar Mapping and Acceleration Probe (IMAP) mission contributions.

John Cressmanمشاهده پروفایل

دانشیار

• Neuronal Dynamics
• Non-Equilibrium Physics
• Biophysics
• +۳ مورد دیگر

John Cressman is an Associate Professor in the Physics & Astronomy Department at George Mason University, with affiliations in the Neuroscience Program and the Krasnow Institute for Advanced Study. His research focuses on dynamical systems in driven systems, particularly exploring their roles in brain function and non-equilibrium physics. He investigates transient correlated dynamics in biological processes and natural phenomena like tornados and fluid systems. Cressman's work bridges physics and neuroscience, addressing topics such as ion concentration dynamics in neurons, seizure mechanisms, and energy flow in neuronal systems. His research interests emphasize understanding how transient dynamical structures influence biological and physical systems, with a strong focus on neuronal behavior and the physics of non-equilibrium systems. Key themes include the interplay of excitatory and inhibitory conductances during seizures, ion concentration homeostasis, and the application of advanced imaging techniques like NIR-II fluorescent nanoprobes for biomedical applications. Recent articles highlight innovations in nanoparticle-based sensing and imaging, including DNA-based sensors for bioelectrical signals and fluorescent probes for tumor imaging. These studies reflect a trend toward integrating biophysics with cutting-edge nanotechnology for medical and neuroscientific advancements. Cressman’s work also explores turbulence and energy dissipation in complex systems, linking statistical physics principles to experimental observations. Labs and collaborations are centered at the Krasnow Institute, where interdisciplinary approaches to neurophysics and systems biology are prioritized. His research has implications for understanding neurological disorders and developing novel diagnostic tools.

Peter Plavchanمشاهده پروفایل

دانشیار

• Exoplanet Astronomy
• Astrophysics
• Stellar Astrophysics
• +۵ مورد دیگر

Peter Plavchan is an Associate Professor of Physics and Astronomy at George Mason University, serving as Executive Director of George Mason Observatories. Previously, he held roles at Missouri State University and NASA's Exoplanet Science Institute. His research focuses on exoplanets around low-mass stars using radial velocity and transit methods, particularly the AU Mic planetary system. He leads NASA-funded missions like Landolt and HaZE, and collaborates on projects such as MINERVA-Australis and the EarthFinder probe concept. Education: PhD in Physics, University of California (2006) MS in Physics, University of California (2006) BS in Physics, California Institute of Technology (2001) Research Interests: Plavchan's work centers on exoplanet demographics around cool dwarfs, precision radial velocity techniques in the near-infrared, and instrumentation for space and ground-based telescopes. He has pioneered methods to mitigate stellar activity effects and contributed to major missions like Spitzer, Kepler, TESS, and JWST. His recent focus includes atmospheric characterization of exoplanets and next-generation radial velocity survey planning. Awards: 2019 College of Science Dean's Award for Early Career Excellence 2017 NASA Group Achievement Award for laser frequency comb development 2014 NASA Honor Achievement Award for Exoplanet Archive launch 2010 NASA Honor Achievement Award for Spitzer instrument support Grants & Missions: Supported by NASA, NSF, and Mt. Cuba Foundation. Leads the Landolt calibration mission and the EarthFinder probe concept. Active in the NASA Exoplanet Program Analysis Group (ExoPAG). Labs/Teams: Directs George Mason Observatories and collaborates with international teams on projects like HISPEC for Keck Observatory and the CANDLE calibration mission.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۵ مورد دیگر

Hisham Abou-Grad is a Senior Lecturer at the University of East London, affiliated with the Architecture, Computing & Engineering research institute. His work focuses on interdisciplinary applications of artificial intelligence, machine learning, and data science across finance, healthcare, agriculture, and cybersecurity. He has collaborated on projects involving AI-driven stock prediction, blockchain-based solutions for food security, and computer vision systems for vehicle safety. Key research interests include neural networks, hybrid machine learning models, and the ethical implications of AI in decision-making systems. His publications span conferences such as the International Conference on Mechatronics and Smart Systems and the Human Interaction & Emerging Technologies conference. He has also contributed to frameworks addressing real-world challenges like crop recommendation systems and remote patient monitoring for physiotherapy support. Abou-Grad has co-authored over 10 peer-reviewed papers between 2019 and 2025, reflecting a strong focus on practical AI applications with societal impact. Notable collaborations include work with institutions like Near East University (Turkey) and Sebha University. His research emphasizes bridging technological innovation with domain-specific needs in finance, healthcare, and environmental sustainability.

Paola Pintiمشاهده پروفایل

پژوهشگر

• Functional Near Infrared Spectroscopy
• Brain Activity Analysis
• Wearable Neuroimaging
• +۸ مورد دیگر

Paola Pinti is a Senior Researcher at Birkbeck, University of London, where she works in the Department of Psychological Sciences. She also maintains an affiliation with University College London (UCL). Her research focuses on functional Near Infrared Spectroscopy (fNIRS), developing new algorithms and tools for analyzing brain activity in naturalistic environments. Dr. Pinti's research interests include: Functional Near Infrared Spectroscopy (fNIRS) applications Wearable neuroimaging technologies Naturalistic cognitive neuroscience experiments Signal and image processing for brain activity monitoring Multimodal integration (fNIRS with eye-tracking, motion capture, thermal imaging) Child-friendly neuroimaging approaches Her recent work demonstrates a strong trend toward ecological validity in neuroscience research, with increasing use of virtual reality environments and real-world tasks to study brain function. She has made significant contributions to methodological standardization in fNIRS research, particularly through her involvement in the fNIRS glossary project and reproducibility studies. Her work spans basic neuroscience, developmental psychology, and clinical applications. Dr. Pinti currently serves as a Senior Research Laboratory Developer for the ToddlerLab CAVE, which integrates cutting-edge wearable technologies like fNIRS, EEG, motion capture, and eye-tracking in an immersive Virtual Reality environment for studying brain development in ecological settings. She has received research funding through scholarships including a One year Research Visit Scholarship and a Full 3 years Ph.D. Scholarship from the Italian Ministry of Education, University and Research.

• Spacecraft Design
• Aerospace Engineering
• Astrodynamics
• +۴ مورد دیگر

Dr. Vittorio FRANZESE is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SPASYS department. His work focuses on CubeSat technology, autonomous space systems, and deep-space exploration. He leads projects like the POQUITO PocketQube mission and the LUMIO lunar CubeSat, aiming to advance miniaturized satellite capabilities for interplanetary navigation and meteoroid impact monitoring. Key research areas include spacecraft autonomy, optical navigation algorithms, and mission design for CubeSats. He has contributed to initiatives such as the ERC-funded EXTREMA project, developing self-driving interplanetary CubeSats. His technical expertise spans satellite systems engineering, trajectory optimization, and sensor development for space applications. Publications highlight advancements in laser communication terminals, asteroid mission analysis, and swarm satellite technologies. Collaborative efforts include the Hera Milani CubeSat mission for asteroid exploration. His work bridges theoretical research with practical implementation, emphasizing innovation in low-cost space technologies.

Jacek P. Dmochowskiمشاهده پروفایل

دانشیار

• Machine Learning
• Brain-Computer Interfaces
• Signal Processing
• +۶ مورد دیگر

Jacek P. Dmochowski is an Associate Professor of Biomedical Engineering at the City College of New York (CCNY) and Vice President of Machine Learning at Optios, a neurotechnology startup. His research bridges electrical engineering and neuroscience, focusing on non-invasive brain stimulation, neural decoding, and causal inference in brain activity. He has secured funding from the National Institutes of Health (NIH), Department of Defense (DoD), and NASA, with work featured in The Guardian and Los Angeles Times. Current Roles: Associate Professor (CCNY), VP of Machine Learning (Optios) Education: PhD in Telecommunications (University of Quebec, INRS), Postdoc in Biomedical Engineering (CCNY), Research Scientist (Stanford University) Research Interests: Development of machine learning algorithms for neural decoding and brain stimulation Non-invasive ultrasonic neuromodulation for psychiatric and neurological disorders Investigation of causal relationships in brain activity Statistical principles for sports betting and decision-making under uncertainty Integration of brain imaging (EEG, MRI) with stimulation techniques Scientific Contributions: 15+ recent publications on transcranial stimulation, neurotechnology, and machine learning Holder of multiple patents in acoustic signal processing and neurotechnology Key projects: Granger Components Analysis for temporal dependencies, ultrasonic brain stimulation funded by NIH Awards and Recognition: Recipient of the Governor General of Canada's Academic Gold Medal Research supported by NIH, DoD, and NASA grants Contact: Email: jdmochowski@ccny.cuny.edu , info@jacekd.me