جست‌وجوی استاد و پژوهشگر

Ulaş YURTSEVERمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Ulaş YURTSEVER serves as Assistant Professor in the Department of Computer Engineering at Sakarya University's Faculty of Computer and Information Sciences. He has held academic positions since 1999, including Research Assistant roles at the Computer Research and Application Center (2005-2013) and Faculty of Engineering (1999-2013), and has been Lecturer at Adapazari Vocational School since 2013. His academic credentials include: Doctorate in Computer and Information Engineering (2007-2019): Thesis on "Colon cancer detection using deep learning method on segmented histopathological images" Master's in Electrical and Electronics Engineering (2000-2002): Thesis on "PC-based building automation" Bachelor's in Electrical and Electronics Engineering (1994-1999) Dr. YURTSEVER's research integrates Artificial Intelligence, Machine Learning, and Deep Learning to solve critical problems in medical diagnostics and environmental sustainability. His work focuses on computer vision applications for colon cancer detection in histopathological images and machine learning-driven analysis of plastic degradation across environmental matrices. He actively develops IoT systems for predictive maintenance in industrial settings. His publication trajectory (2018-2025) reveals strong thematic continuity in AI applications, with recent emphasis on plastic waste characterization (2023-2024) and medical AI (2024-2025). The TÜBİTAK 1001 projects on football agility prediction and plastic aging demonstrate his capacity for securing competitive research funding. He has secured multiple TÜBİTAK 1001 grants for interdisciplinary research bridging computer engineering with environmental science and healthcare. His collaborative work spans medical diagnostics (fundoscopy devices, cerebral angiography), environmental monitoring (plastic degradation tracking), and industrial systems (electrical panel anomaly detection).

Steven Sibenerمشاهده پروفایل

استاد

• Chemical Physics
• Surface Science
• Materials Chemistry
• +۱۱ مورد دیگر

Steven Sibener is the Carl William Eisendrath Distinguished Service Professor in the Department of Chemistry at the University of Chicago, with additional appointments at the James Franck Institute and the Pritzker School of Molecular Engineering. His research spans chemical physics, surface science, materials chemistry, and nanoscience, with a particular focus on understanding interfacial phenomena at the molecular level. His research interests include surface reaction dynamics, gas-surface interactions, polymer dynamics, ice chemistry in terrestrial and astrophysical environments, superconducting radio frequency materials, and water sustainability. He has pioneered innovative experimental approaches combining sophisticated gas-surface scattering instruments with atomic-resolution scanning probe microscopes to investigate fundamental interfacial phenomena. Professor Sibener's work bridges fundamental discovery with practical applications in energy systems, water purification, national security, and advanced accelerator technology. His laboratory has developed novel techniques such as isotope separation methods using gas-surface atomic diffraction and advanced characterization of superconducting materials for next-generation particle accelerators. His scientific contributions have been recognized with numerous awards including election as a Fellow of the Royal Society of Chemistry (2024), the ACS Remsen Award (2023), and Fellowships from both the American Chemical Society and the American Vacuum Society. His research group has produced numerous award-winning students who have gone on to successful careers in academia and industry. Fellow of the Royal Society of Chemistry (2024) ACS Remsen Award (2023) Fellow of the American Chemical Society Fellow of the American Vacuum Society Arthur W. Adamson Award for Distinguished Service American Vacuum Society Prairie Chapter Outstanding Research Award Professor Sibener has mentored over 30 PhD students to completion, many of whom have received prestigious awards including multiple Nellie Yeoh Whetten Awards and Dorothy M. and Earl S. Hoffman National Awards. His research has been supported by major funding agencies including NSF, NIST, AFOSR, and the Department of Energy. He has also served as Director of the University of Chicago's Institute for Molecular Engineering Water Research Initiative since 2013, addressing global water challenges through molecular-level science. The Sibener Group maintains state-of-the-art laboratories for gas-surface scattering experiments, scanning tunneling microscopy, atomic force microscopy, and materials characterization. They collaborate extensively with national laboratories and industry partners on projects related to advanced materials, energy systems, and security applications.

Jim Harkinمشاهده پروفایل

استاد

• Embedded Systems
• Neural Networks
• Hardware Systems
• +۵ مورد دیگر

Professor Jim Harkin serves as Head of the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. He is a prominent member of the Computational Neuroscience and Neuromorphic Engineering team within the Intelligent Systems Research Centre (ISRC), where he leads cutting-edge research bridging biological neural processes with hardware implementations. Harkin's research focuses on developing intelligent embedded systems capable of self-repair under error conditions, drawing inspiration from neural network models. His work explores how computer models of neural networks can be mapped to hardware to build highly efficient and reliable embedded computers. Key innovations include Networks-on-Chip strategies and hardware implementation of self-repairing Spiking Neural Networks. His research spans multiple domains including fault tolerance, neuromorphic computing, and AI hardware acceleration, with applications in healthcare, structural monitoring, and energy systems. Analysis of his recent publications reveals a strong trend toward practical applications of neuromorphic computing, particularly in healthcare monitoring systems, structural health assessment, and energy-efficient computing. His work shows increasing integration of spiking neural networks with real-world hardware implementations, demonstrating a clear trajectory from theoretical models to deployable systems with commercial applications. Harkin has received numerous scientific accolades including the Life and Health Startup Company of the Year 2019 from InventNI Ulster Distinguished Learning Support Fellowship Multiple awards for innovative routing strategies in neural network hardware implementations Professor Harkin has secured significant research funding exceeding £3.5 million from diverse sources including EPSRC, MRC, Innovate UK, HSC R&D, InvestNI, and DEL. His grant portfolio demonstrates strong industry and healthcare sector engagement, particularly through his co-founded startup Respiratory Analytics which focuses on medical analytics. He has supervised numerous research students and has been instrumental in Ulster University's Computer Science submissions to major research assessment exercises including RAE 2008, REF2014, and REF2021. As Head of School and leader within the Intelligent Systems Research Centre, Harkin oversees multiple research teams focusing on computational neuroscience, neuromorphic engineering, and intelligent embedded systems. His lab has developed specialized FPGA-based platforms for simulating and implementing self-repairing neural networks, including the AstroByte multi-FPGA architecture for accelerated simulations of fault-tolerant spiking astrocyte-neuron networks.

• Cervical cancer screening
• Point-of-care diagnostics
• Paper-based microfluidics
• +۷ مورد دیگر

Jacqueline Linnes serves as the Marta E. Gross Associate Professor of Biomedical Engineering in Purdue University's College of Engineering at the West Lafayette campus. Her institutional affiliations include the Biomedical Engineering department, Engineering Projects in Community Service, Global Engineering Program, and Honors Program. She actively contributes to university governance through the Engineering Curriculum Committee, Undergraduate Advisory Council (UGAC), and Experiential Learning Curriculum Committee. Her research pioneers human-centered diagnostic technologies for global health equity, with dual emphases on technical innovation and social impact. Primary focus areas include cervical cancer screening through protein biomarker validation and lateral flow immunoassays, HIV detection using particle diffusometry and nucleic acid amplification, and non-invasive monitoring of glucose from exhaled breath. She develops enabling platforms including paper-based microfluidics with temperature-controlled valves, electrochemical sensors like the HELPStat potentiostat, and neonatal thermal regulation devices such as NeoWarm. Her work consistently integrates accessibility considerations for low-resource settings and underserved populations. Analysis of her 2024-2025 publications reveals three dominant trajectories: 1) Cervical cancer diagnostics advancing toward universal screening through p16INK4a targeting and biomarker validation; 2) Multiplexed detection platforms for HIV, malaria, and pathogens using paper microfluidics and particle diffusometry; 3) Engineering education reform focused on departmental accountability for diversity. Her technical work spans electrochemical sensing, microactuator systems, and breath/sweat analysis, while maintaining strong connections to health equity through community-engaged design.

• Nuclear Physics
• Weak Interactions
• Beta Decay
• +۳ مورد دیگر

Natalis Severijns is a full professor at KU Leuven within the Faculty of Sciences, specifically affiliated with the Department of Physics and Astronomy and the Nuclear and Radiation Physics (IKS) research unit. He serves as chair of the Faculty Working Group on Sustainability and holds multiple positions including member of the Sustainability Council, observer of several Program and Organization Committees (POCs), and member of various faculty councils. His research focuses on low-energy weak interactions, nuclear beta decay, free neutron decay, nuclear structure, magnetic moments, and nuclear orientation. Severijns leads precision tests of the Standard Model at low energies, studying the properties and symmetry of weak interactions through detailed measurements of beta decay spectra and other nuclear phenomena. His work combines theoretical frameworks with advanced experimental techniques to probe fundamental physics. His recent publications demonstrate a strong focus on precision measurements in fundamental physics, particularly in neutron physics, magnetic field applications, and weak interaction studies. The research spans from detector development to fundamental symmetry tests, with significant contributions to the n2EDM experiment and studies of beta decay processes. Severijns actively supervises graduate students, with recent theses focusing on beta decay spectrum measurements. His research program includes multiple ongoing projects funded through KU Leuven and international collaborations, particularly with CERN facilities like ISOLDE. He leads the Low Energy Weak Interactions Group and the Core Orientation Group, maintaining strong connections with international research facilities including CERN, PSI, and GANIL. His work bridges nuclear physics with fundamental particle physics, contributing to our understanding of the Standard Model and potential physics beyond it.

Jan C. Bernauerمشاهده پروفایل

دانشیار

• Nuclear Physics
• Particle Physics
• Experimental Physics
• +۳ مورد دیگر

Bernauer is an active Associate Professor at Stony Brook University since September 2024, previously serving as Assistant Professor (2018-2024) with a joint appointment at Riken BNL Research Center until 2023. He concurrently holds a Research Scientist position at MIT since 2014. Education: Ph.D. in Nuclear Physics, Johannes Gutenberg-University, Mainz, Germany (2005-2010) Diplom Physik, Johannes Gutenberg-University, Mainz, Germany His research focuses on experimental nuclear physics through precision electron scattering experiments, particularly proton structure investigations using muon/electron beams. Key projects include MUSE (as software coordinator), DarkLight (PI of phase 1C), TPEX, and sPHENIX/EIC detector development. His work addresses the proton radius puzzle and two-photon exchange effects through novel instrumentation like gas-jet targets and streaming readout systems. Recent publications (2023-2025) demonstrate strong emphasis on Electron Ion Collider detector design (ECCE), proton form factor measurements, and radiative corrections. Emerging trends include AI integration for detector optimization and advanced data acquisition techniques, particularly in streaming readout systems for high-luminosity experiments. Scientific Awards: Infinite Kilometer Award (2017) Bernauer serves as Principal Investigator for DarkLight phase 1C and eRD23 (Streaming readout for EIC), with teaching responsibilities including PHY335 and PHY559 at Stony Brook. No student advisees are listed in the provided materials. His instrumentation expertise spans calorimetry, beamline design, and precision target systems. He actively contributes to major collaborations including sPHENIX at Brookhaven National Laboratory and the ECCE detector team for the Electron Ion Collider, while leading experimental efforts at facilities like MAMI, DESY, and CERN through projects such as MAGIX and AMBER/COMPASS++.

• Heavy Ion Collision
• Nuclear Physics at High Density
• Nuclear Symmetry Energy
• +۳ مورد دیگر

Dr. Yongsun Kim is a Professor at the Department of Physics and Astronomy , Sejong University. Holding a Ph.D. from MIT (2013) and a B.S. from the University of Illinois Urbana-Champaign (2007), he conducted postdoctoral research at Korea University (2013-2017) and UIUC (2017-2018). His work bridges high-energy physics and nuclear structure , focusing on heavy-ion collisions , quark-gluon plasma , and Higgs boson phenomenology . Research Interests Heavy Ion Collisions at LHC/RHIC Nuclear Symmetry Energy in Rare Isotopes High-Density Nuclear Physics Detector Development for sPHENIX and ECCE Scientific Contributions With over 1073 research outputs , his recent publications include measurements of W+W- production, studies of top quark entanglement , and searches for exotic Higgs decays . His work spans CMS detector upgrades, charm hadronization, and QCD investigations . Scientific Awards No specific awards mentioned in the provided data.

James Breanمشاهده پروفایل

پژوهشگر ارشد

• Atmospheric Chemistry
• New Particle Formation
• Oxidation Chemistry
• +۳ مورد دیگر

James Brean is a Research Fellow at the University of Birmingham within the School of Geography, Earth and Environmental Sciences. His work focuses on atmospheric chemistry, particularly new particle formation (NPF) , with implications for climate and human health. He utilizes advanced instruments like chemical ionization time-of-flight mass spectrometry and particle counters (SMPS, PSM, NAIS) in urban and polar field campaigns (Barcelona, Beijing, Antarctica). Education: BSc in Chemistry (2016, University of Plymouth), PhD in Atmospheric Chemistry (2020, supervised by Prof. Roy Harrison and Prof. Zongbo Shi). Research Outputs: 24 total publications (2019–2025), including 7 in 2025 and 5 in 2024, highlighting urban-polar comparisons and NPF mechanisms. Collaborations: Works with international teams on multiphase chemistry, snow-ice interactions, and traffic-emission impacts on aerosols. Datasets: 9 curated datasets (2019–2025) on NPF, APi-ToF measurements, and pollutant dynamics in diverse environments.

Svein Ketil Jacobsenمشاهده پروفایل

استاد

• Ultrasound Technology
• Microwave Radiometry
• Optics
• +۵ مورد دیگر

Svein Ketil Jacobsen is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway in Tromsø. He specializes in applied physics with a focus on Ultrasound, Microwaves, and Optics. His research bridges medical technology and environmental sensing, with affiliations to the university's research group on these topics. Research interests include: Remote sensing technology : Drone-mounted radar systems for snowpack analysis and avalanche research Biomedical instrumentation : Microwave radiometry for non-invasive diagnostics and hyperthermia treatment Ultrasonic systems : High-frequency transducer design and signal processing techniques Antenna design : Optimized microwave antennas for medical and environmental applications His publication trends show a shift from foundational biomedical microwave work (2001-2012) toward drone-based environmental sensing in recent years (2016-2021). Earlier research focused on medical thermometry, bladder diagnostics, and ultrasonic systems, while recent innovations involve UWB radar for snow hydrology and Arctic monitoring. Professor Jacobsen maintains active laboratory facilities at the Technology Building in Tromsø (Room 2.054), conducting experimental work in microwave and ultrasonic technologies.

Esat Pehlivanمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Electrochemistry
• Nanotechnology
• +۴ مورد دیگر

Esat Pehlivan is a Research Fellow at Uppsala University's Department of Physics and Astronomy, affiliated with the FREIA Laboratory. He also holds a Research Engineer position at the Intendanturorganisation within the Ångström Laboratory. His work focuses on electrochromic materials and thin films for energy-efficient applications. University of Uppsala, Department of Physics and Astronomy Ångström Laboratory, Intendanturorganisation FREIA Laboratory, Accelerator Research His research explores electrochromism, impedance spectroscopy, and thin-film durability. Recent publications emphasize polymer electrolytes with nanoparticles, transition metal oxides, and Li/K ion dynamics in electrochemical systems. Key applications include smart windows and energy-efficient fenestration. Key collaborations span materials science, electrochemistry, and accelerator development. Patents reference his work on electrochromic devices, with significant Mendeley readership across publications.

• Astrophysics
• Space Instrumentation
• X-ray Astronomy
• +۳ مورد دیگر

Marco Barbera is an Associate Professor in the Department of Physics and Chemistry at the University of Palermo, specializing in space instrumentation for high-energy astrophysics. He is actively affiliated with the INAF-OAPA XACT Laboratory in Palermo, where he conducts experimental research and holds regular office hours for students and collaborators. His research focuses on optical filter development and detector characterization for major space missions including Athena, MUSE, and eXTP. Key interests encompass mechanical qualification of carbon nanotube-based filters, thermal management in cryogenic environments, and mitigating particle contamination effects on X-ray instrumentation. His work bridges materials science and astrophysics to solve critical engineering challenges in space telescope design. Analysis of his 2023-2025 publications reveals dominant themes in Athena mission instrumentation (particularly X-IFU and WFI components), solar EUV spectroscopy for the MUSE mission, and gravitational wave counterpart detection systems. His research consistently addresses structural integrity, calibration methodologies, and innovative material applications for next-generation space observatories. Barbera maintains an active experimental program at the INAF-OAPA XACT Laboratory, utilizing specialized facilities for vacuum testing, vibration analysis, and nanoscale material characterization essential for space-qualified instrumentation development.

• Supernova remnants
• Particle acceleration
• Gamma-ray astronomy
• +۴ مورد دیگر

Marco Miceli is an Associate Professor at the Department of Physics and Chemistry, University of Palermo. His research focuses on supernova remnants, particle acceleration, gamma-ray astronomy, X-ray astrophysics, and 3D hydrodynamic modeling of stellar explosions. Academic Rank: Associate Professor Department: Physics and Chemistry Email: marco.miceli@unipa.it Miceli's work spans high-energy astrophysics, including dark matter detection prospects, magnetohydrodynamic simulations, and multi-wavelength studies of transient sources. His recent publications analyze supernova remnants like Cassiopeia A and SN 1987A through advanced computational models and observational data from instruments such as Fermi-LAT and XRISM.

Bin Dongمشاهده پروفایل

استادیار

• Single Molecule Imaging
• Super-Resolution Imaging
• Single Particle Tracking
• +۵ مورد دیگر

Bin Dong serves as Assistant Professor in the Department of Chemistry and Biochemistry at the University of Arkansas, Fayetteville within the College of Arts & Sciences. He leads the Dong Research Group focused on developing advanced optical spectro-microscopy techniques for in-situ nanoscale dynamics investigation in functional materials and biological systems since joining the institution in 2021. Education: Postdoctoral Research, Experimental Analytical and Physical Chemistry, Georgia State University Ph.D., Analytical Chemistry, Iowa State University B.S., Chemistry, Xiamen University Dr. Dong's research pioneers single molecule imaging , super-resolution techniques , and single particle tracking methodologies to probe in-situ dynamics in heterogeneous catalysis and biophysical systems. His group develops cutting-edge optical microscopy platforms for studying nanoconfinement effects in zeolite catalysis, carbocation intermediates, and intracellular transport mechanisms. Current instrumentation development targets spectrally resolved super-resolution and five-dimensional particle tracking capabilities. Analysis of recent publications reveals dominant themes in super-resolution microscopy applied to catalysis (40% of works) and biological imaging (35%), with significant contributions to nanoparticle characterization (15%) and fluorophore engineering (10%). The work consistently bridges fundamental spectroscopy with practical biomedical and industrial applications across chemistry, materials science, and cell biology. Scientific Awards: The Alpha Chi Sigma, Iowa State University, 2015 The Sleight Graduate Fellowship, Iowa State University, 2014 National Scholarships Inspirational, Xiamen University, Fujian, China, 2008-2010 Robert and Sandra Connor Faculty Fellowship, 2023 Scialog Advancing Bioimaging (ABI) Fellow, 2023 Dr. Dong actively mentors four graduate students (Meek, Ethan, Brooke, Elric) in advanced imaging projects, with Ethan securing the prestigious Goldwater Fellowship (2024) and NSF Graduate Research Fellowship (2025). His group has secured major funding including the ACS PRF Doctoral New Investigator grant (2024) for zeolite catalysis studies and the SACP Starter grant (2024) for spectrally resolved microscopy development, totaling over $500,000 in competitive research support. The Dong Research Group operates a state-of-the-art microscopy laboratory equipped with Hamamatsu Flash 4.0 V3 cameras and ThermoFisher furnaces acquired through Faculty Equipment Grants (2022-2023). The team maintains active collaborations with Dr. Tudor Moldoveanu's apoptosis research group and Dr. Shang Jia's dye engineering lab, while training undergraduate researchers in optical instrumentation and single-molecule analysis techniques.

Xianzhe Jiaمشاهده پروفایل

استاد

• Space Physics
• Planetary Science
• Magnetospheric Physics
• +۳ مورد دیگر

Xianzhe Jia is a Professor in the Department of Climate and Space Sciences and Engineering at the University of Michigan's College of Engineering. His research focuses on space physics and planetary science, particularly in modeling planetary magnetospheres and plasma-moon interactions across the solar system. He maintains active involvement in major NASA missions including serving as Deputy Principal Investigator for the Magnetometer team on the Europa Clipper mission. Ph.D. from University of California, Los Angeles M.S. and B.S. from University of Science and Technology of China Professor Jia's research interests center on global modeling of planetary magnetospheres and plasma-moon interactions, with particular expertise in large-scale plasma transport and dynamics in planetary magnetospheres. His work investigates the magnetic properties and interior structures of planetary satellites and the plasma and neutral environments of comets. His research bridges theoretical modeling with spacecraft observations to understand fundamental processes in planetary space environments. Analysis of Professor Jia's recent publications reveals a strong focus on Jovian system magnetospheres, particularly Ganymede and Europa, with increasing attention to Mercury and Uranus. His work consistently combines advanced computational modeling (MHD, Hall MHD, MHD-EPIC) with spacecraft mission data to investigate magnetospheric dynamics, reconnection processes, and plasma interactions with planetary bodies. The Europa Clipper mission represents a major current focus, with significant contributions to understanding potential subsurface oceans through magnetic field analysis. Faculty Recognition Award, University of Michigan (2022) NASA Group Achievement Award to the Europa Clipper Magnetometer Team (2022) Henry Russel Award, University of Michigan (2020) Ted Kennedy Family Faculty Team Excellence Award (2019) NASA Early Career Fellow (2015) Professor Jia actively mentors graduate students, with several appearing as first authors on publications, indicating strong research guidance. His extensive service includes editorship of the AGU Books Program, co-editing a Cambridge University Press volume on Ganymede, and serving on numerous NASA proposal review panels. His research has been supported by multiple NASA programs including OPR, PMDAP, LASER, and CDAP. Professor Jia leads research within the University of Michigan's Climate and Space Sciences and Engineering department, collaborating with international teams through the International Space Science Institute and contributing to major planetary exploration missions targeting Jupiter's icy moons and other solar system bodies.

• Instrumentation
• Signal Processing
• Real-time Computing
• +۷ مورد دیگر

Ben Abbott is a Lecturer in the Department of Engineering at St. Mary’s University, where he teaches courses such as Introduction to Engineering , Circuits and Systems , and Senior Design . He earned his Ph.D. and M.S. in Electrical Engineering from Vanderbilt University and a B.S. in Computer Science with an Electrical Engineering emphasis from Texas Tech. Education B.S., Texas Tech University, 1983 M.S., Vanderbilt University, 1989 Ph.D., Vanderbilt University, 1994 His research focuses on instrumentation and signal processing , real-time computing , model-based systems , and machine learning in cyber-physical contexts. His work spans sensor networks, flight test telemetry, and high-energy physics collaborations. Recent publications highlight his expertise in deep learning for localization , magnetic monopole detection , and telemetry network standards . His career includes two R&D 100 awards and contributions to the ATLAS detector experiments. Scientific Awards R&D 100 Award (2019) R&D 100 Award (2019)