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Ethan A. Scott is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. He holds a B.S. (2015) and Ph.D. (2021) in Mechanical and Aerospace Engineering from UVA, followed by a postdoctoral research associate position at Sandia National Laboratories. His research focuses on experimental techniques for analyzing heat and energy transfer in extreme material conditions, including micro- and nanoscale phenomena. He serves as Deputy Director of the EXSiTE Lab led by Professor Patrick Hopkins. Education: B.S., Mechanical Engineering, University of Virginia (2015) Ph.D., Mechanical and Aerospace Engineering, University of Virginia (2021) Postdoctoral Research Associate, Sandia National Laboratories (2021–2023) Research Interests: Ethan explores advanced thermal transport phenomena using electro- and optothermal methods. Key areas include micro/nanoscale heat transfer, microfabrication, and infrared thermal detection. His work addresses challenges in material size extremes (e.g., nanoscale thin films) and environmental extremes (e.g., high-energy ion irradiation effects). Publications: His recent work emphasizes thermal conductivity manipulation through ion irradiation, optothermal sensor development, and novel material characterization. Themes include defect engineering in crystalline systems and optimizing thin-film thermometry for high sensitivity. Awards: Editor’s Pick, Applied Physics Letters (2021) Nuclear Regulatory Commission Fellowship (2017) Labs & Teams: Deputy Director of the EXSiTE Lab, focusing on experimental studies of thermal and mechanical properties of materials under extreme conditions.

• Micro- and nanoscale heat transfer
• Electro- and optothermal experimental techniques
• Microfabrication and MEMS
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Rachel N Clark is a Lecturer in the School of Physics at the University of Bristol, actively contributing to the Quantum Engineering Technologies research group with a focus on quantum photonics and quantum light source development. Education: Master of Physics (MPhys) Master of Science (MSc) Doctor of Philosophy (PhD) Her research spans Quantum Engineering , Quantum Optics , and Photonics with concentrated expertise in solid-state quantum emitters—particularly aluminum nitride color centers—and single photon source engineering. Key investigations include evanescent-field photon collection enhancement, room-temperature quantum emitter characterization, and nanofabrication of quantum photonic devices for improved efficiency and integration. Analysis of her 13 publications (2022-2025) reveals dominant trends in aluminum nitride quantum emitter development, with 60% of works addressing room-temperature quantum light sources and photon collection efficiency. Her research bridges fundamental quantum optics with practical quantum technology applications, emphasizing scalable fabrication methods and metrology standards for quantum photonic systems. No scientific awards were documented in the provided materials. Information regarding graduate students, research grants, or specific laboratory teams beyond her Quantum Engineering Technologies affiliation was not indicated in the source texts.

• Quantum Engineering
• Quantum Optics
• Photonics
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Jesse Liu is an Assistant Professor of Physics at the New York University College of Arts & Science , joining in Spring 2025. He collaborates with the ATLAS Experiment at CERN and leads the NYU Experimental Particle Physics group. Research Interests: Liu's work bridges fundamental particle physics and detector innovation. He investigates Tau-lepton electromagnetic dipoles via photon collisions at the LHC High-luminosity LHC silicon tracker upgrades Dark matter searches through collider experiments and the BREAD axion detection project Cosmic ray physics using ATLAS data Recent Publications focus on tau magnetic moment measurements, detector thermal stress mitigation, and cosmic ray signature analysis. His work has been featured in Phys. Rev. D , Phys. Rev. Lett. , and JINST . Outreach & Mentorship: Liu actively engages in public science communication through Pint of Science talks The Conversation articles School visits to CERN First-gen student mentorship at NYU CU*iP Contact: Office at 726 Broadway, Room 852, New York City. Email: jesse.liu2@nyu.edu

• Particle Physics
• High Energy Physics
• Dark Matter
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Elisa Riedo is a tenured Professor of Chemical and Biomolecular Engineering at New York University (NYU) Tandon School of Engineering, with joint appointments as Professor of Physics in NYU’s College of Arts and Science and as affiliated Professor of Mechanical Engineering at Tandon. She serves as Director of Faculty Development at NYU Tandon and has held prior tenured positions at Georgia Tech (2003–2015) and CUNY ASRC (2015–2018). Her academic career spans over two decades, with a Ph.D. in Physics from the University of Milano (2000) and postdoctoral work at EPFL. Her research focuses on nanotechnology , graphene and 2D materials , and thermal scanning probe lithography (tSPL) , with applications in biomedical diagnostics quantum electronics electromagnetic interference shielding mechanical reinforcement of materials She pioneered tSPL for sustainable nanofabrication and discovered diamene—a single-layer diamond structure from graphene under pressure. Her recent work involves transparent infrared electrodes using silver nanowires (2025) and self-organized graphene stacking domains for quantum technologies (2024). She has secured major grants from National Science Foundation , Department of Defense , and Army Research Office . Scientific honors include: 2023 NYU Tandon Excellence in Research Award 2013 American Physical Society Fellow 2005 CREA Innovation Award Membership in the Academy of Europe (2023) She contributes to editorial boards for journals like 2D Materials and Applications and advises companies such as Mirimus Inc. and SwissLitho AG .

• Experimental nanoscience
• Graphene
• Diamene and 2D materials
• +11 more

Daniel Brandenburg is an Assistant Professor of Physics at Ohio State University, affiliated with the Physics Research Building. His research focuses on studying nuclear matter under extreme conditions via relativistic heavy-ion collisions, particularly creating and analyzing the quark-gluon plasma (QGP). He is a key member of the STAR Experiment at RHIC and the EPIC Collaboration for the Electron Ion Collider (EIC). His work explores ultra-strong electromagnetic fields generated in collisions to probe QGP dynamics and search for physics beyond the Standard Model. Brandenburg holds a B.S. in Physics from the University of Florida (2013), followed by an M.S. (2015) and Ph.D. (2016) in Physics from Rice University. He has received notable awards including the Blavatnik Regional Award (2022), Elsevier Young Scientist Award (2019), and Goldhaber Fellowship (2020). His research interests span QGP imaging using high-energy photons, gluon tomography in nuclei, and precision measurements with the upcoming EIC. Recent work includes studies on charge-parity symmetry breaking in baryons, entanglement-based interferometry, and observation of antimatter hypernuclei. His group actively develops detector technologies for STAR and EPIC collaborations. Key achievements include publishing over 50 peer-reviewed articles since 2023, focusing on flow coefficients, strangeness production, and jet modifications in heavy-ion collisions. His 2025 work on QGP photon imaging and 2024 discoveries in ultra-peripheral collisions highlight his contributions to advancing frontier physics.

• Nuclear Experiment
• Quark-Gluon Plasma
• Relativistic Heavy Ion Collisions
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Dr. Jing Wang is a Professor in the Department of Bioinformatics at Southern Medical University's School of Medicine, with extensive research at the intersection of artificial intelligence and biomedical applications. Her work demonstrates strong cross-disciplinary collaboration across medical institutions, engineering departments, and computer science research groups. Her primary research interests include Artificial Intelligence in Healthcare , Biomedical Engineering , and Traditional Chinese Medicine Informatics , with recent publications showing particular expertise in medical imaging analysis, diagnostic assistance systems, and clinical decision support. Her work spans both theoretical algorithm development and practical clinical implementations. Analysis of her 15 most recent publications (2025-2026) reveals a strong trend toward clinically applicable AI systems, with approximately 60% of publications focused on medical diagnostics and treatment support systems. The remaining publications demonstrate expertise in industrial applications of computer vision and fundamental AI research. Her work shows consistent collaboration with both domestic Chinese institutions and international research groups. Notable scientific contributions include: Development of 'Tianyi', a traditional Chinese medicine language model for clinical practice Innovations in bionic soft robotics for rehabilitation assistance Novel approaches to medical image analysis for cancer diagnostics Her research program appears well-funded with consistent publication output across high-impact journals in biomedical engineering, AI, and medical informatics. Current work suggests strong emphasis on translating AI research into clinical practice, particularly in diagnostic support systems and rehabilitation technology.

• Artificial Intelligence in Healthcare
• Biomedical Engineering
• Traditional Chinese Medicine Informatics
• +3 more

Albert H. Titus is a Professor in the Department of Biomedical Engineering and an Adjunct Professor in the Department of Electrical Engineering at the University at Buffalo, State University of New York. He serves as Associate Vice President for Regulatory Support in the Office of the Vice President for Research and Economic Development. His research focuses on analog VLSI design for neuromorphic visual processing, biosensors, wearable devices, optoelectronic systems, and neural networks. Education: PhD in Electrical and Computer Engineering, Georgia Institute of Technology (1997) MS in Electrical Engineering, University at Buffalo (1991) BS in Electrical Engineering, University at Buffalo (1989) Research Interests: His work spans wearable and implantable sensors, bioinstrumentation, neural network-based visual processing, analog VLSI implementations, optoelectronics, and electronic packaging. He pioneered CMOS-based neuromorphic systems and developed patented technologies for glare sensing and RF power calorimetry. Publication Trends: His recent articles emphasize CMOS-integrated sensors, machine learning for bioimpedance analysis, implantable medical devices, and xerogel-based optical biosensors. These works bridge biomedical engineering and microelectronics. Scientific Recognition: He is a Fellow of the National Academy of Inventors and has received the SUNY Chancellor’s Award for Excellence in Service (2017), NSF CAREER award, and Western New York Inventor of the Year (2010). His inventions include a patented low-power glare sensor (U.S. Patent 7,586,079) featured in Popular Science’s 2011 Top Ten Inventions. Academic Leadership: As a faculty member, he has supervised nearly 20 PhD and over 40 MS students, while teaching courses in circuits, IC design, sensors, and signal processing across electrical and biomedical engineering disciplines.

• Wearable Sensors
• Biosensors
• Bioinstrumentation
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Dr. Iftikhar Ahmad serves as an Assistant Professor in the Department of Electrical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. He joined the faculty in 2018 after eight years in industry as a Senior Scientist developing ultra-wide bandgap materials for UV-LEDs, and prior post-doctoral and research professor roles at USC. His expertise lies in the growth and characterization of wide bandgap semiconductors for advanced electronic and optoelectronic applications. Dr. Ahmad earned his M.Sc. from Govt. College Lahore (ranking first in the state) and completed his M.S. and Ph.D. at Texas Tech University in 2003 and 2005, focusing on wide bandgap semiconductors. He furthered his training with post-doctoral work at Virginia Commonwealth University in MBE and MOCVD growth techniques. His educational background established the foundation for his current research in semiconductor materials engineering. His research centers on ultra-wide bandgap semiconductors, especially gallium oxide and boron nitride, for applications in deep UV LEDs and high-power electronics. He explores novel MOCVD growth methods for these materials and their integration with traditional III-nitrides (AlGaN) to advance device performance in optoelectronics and power electronics. Current projects focus on defect engineering, phase stabilization, and device fabrication for next-generation semiconductor technologies. Analysis of his recent publications reveals a strong emphasis on β-Ga2O3 and h-BN for next-generation devices. Key themes include MOCVD growth optimization, defect characterization, and device integration for radiation detectors, high-temperature transistors, and UV emitters. His work bridges materials science and electrical engineering to address critical challenges in wide bandgap semiconductor technology, with increasing focus on computational modeling and industrial applications. No scientific awards or fellowships were mentioned in the provided materials. Regarding advising, while specific students are not listed, Dr. Ahmad teaches core courses including Introduction to Microelectronics (ELCT 363) and Advanced Semiconductor Materials (ELCT 874), indicating active engagement in graduate and undergraduate education. Grant details are not specified, but his laboratory operations suggest external funding support for semiconductor research. Dr. Ahmad leads the Ultrawide Bandgap Semiconductor Laboratory, equipped with an MOCVD growth system, Oceanoptics spectrometer, and comprehensive characterization tools for electrical, optical, and atomic force microscopy. The lab supports research in materials growth, device fabrication, and testing, fostering innovation in semiconductor technology through collaborations with industry and government research programs.

• Wide Bandgap Semiconductors
• Ultra-Wide Bandgap Semiconductors
• MOCVD Growth
• +5 more

Mitchell Wayne is a Professor in the Department of Physics and Astronomy at the University of Notre Dame. His research centers on proton-proton collisions at the CMS detector at CERN's Large Hadron Collider, including Higgs boson studies and searches beyond the Standard Model. Honors include American Physical Society Fellowship and multiple teaching awards. His detector R&D focuses on fiber tracking, calorimetry, and Silicon Photomultipliers for CMS upgrades. Awards: Fellow of APS, Joyce Teaching Award (2019), Shilts-Leonard Teaching Award (2002), Kaneb Teaching Award (1999) Student Advising: Supervised 5 PhD students in particle physics and detector development

• Particle Physics
• High Energy Physics
• Detector Development
• +3 more

Professor Michael Thompson is a tenured faculty member in the Department of Materials Science and Engineering at Cornell University's College of Engineering. He holds the Dwight C. Baum Professorship in Engineering and specializes in advanced materials processing, particularly semiconductor materials under pulsed laser exposure. His research focuses on transient thermal processing (nanosecond to sub-second timescales) for material property modification and characterization, with applications in semiconductors, EUV lithography, and photonic materials. Thompson has authored over 120 papers and 20 patents, emphasizing industrial challenges like front-end junction formation and flexible electronics. Education: B.S. in Physics (CalTech, 1979), M.S./Ph.D. in Physics (Cornell, 1982/1984). He has received prestigious awards including the North American Award for Technical Contribution to the Semiconductor Industry (2009), multiple Cornell Excellence in Teaching Awards, and the Stephen H. Weiss Presidential Fellow designation (2021). His teaching focuses on thermodynamics and electronic properties, with a commitment to making abstract concepts accessible through real-world examples. Service: Leads curriculum development, ABET accreditation, and industry outreach. His lab develops novel methods for autonomous materials discovery using AI-driven approaches. Current projects include laser spike annealing for semiconductor doping and high-throughput synthesis of metastable materials.

• Semiconductor Physics
• Materials Science
• Laser Processing
• +7 more

Spyridon Pavlidis is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, leading the Laboratory for Electronics in Advanced Devices and Systems (NCSU LEADS). He is affiliated with the ME Commons Hub (CLAWS), PowerAmerica, FREEDM, and ASSIST Research Centers. His research focuses on semiconductor devices, wide bandgap materials (GaN/AlN), and their applications in power electronics, sensing, and bioelectronics. Pavlidis holds a PhD from Georgia Tech (2016) and a Master's from Imperial College London (2010). Education: Ph.D. in Electrical and Computer Engineering, Georgia Institute of Technology (2016) M.Eng in Electrical and Electronic Engineering, Imperial College London (2010) His expertise spans power electronics packaging, microwave technologies, and biosensing. Recent work includes developing GaN and AlN-based devices for high-power and high-frequency applications. Pavlidis has received prestigious awards, including the 2022 NSF CAREER Award and the 2022 Bennett Faculty Fellowship. He actively contributes to IEEE committees and technical program reviews. His funded research includes defect-state analysis in GaN diodes and bioelectronic sensors for medical applications. Pavlidis collaborates across interdisciplinary teams, advancing next-generation semiconductor technologies and wearable biosensors.

• Power Electronics
• Semiconductor Devices
• High-Frequency Electronics
• +3 more

Corbin E. Covault serves as Professor and Chair of the Department of Physics at Case Western Reserve University (CWRU), leading experimental research in particle astrophysics and cosmic ray physics through major international collaborations including the Pierre Auger Observatory and Cherenkov Telescope Array (CTA). B.A., Massachusetts Institute of Technology (1985) Ph.D., Harvard University (1991) Covault's research centers on experimental particle astrophysics with emphasis on ultra-high energy cosmic rays, gamma-ray astronomy, and advanced instrumentation. His group develops photodetection systems, GPS timing solutions, and wireless communications for cosmic ray detectors. Key projects include investigating macroscopic dark matter using Auger fluorescence telescopes, designing a 100+ meter diameter 'flat' telescope for exoplanet detection, and pioneering spectral CT imaging with quantum dot X-ray detectors. His instrumentation work directly impacts next-generation observatories like CTA, where his team deploys silicon photomultiplier camera systems. Analysis of Covault's 15 most recent publications (2016-2019) reveals dominant research trends in cosmic ray mass composition, anisotropy studies, and multi-messenger astrophysics. His work consistently bridges particle physics and astrophysics through ultra-high energy cosmic ray observations, neutrino follow-ups of gravitational wave events, and development of novel detection methodologies. Key thematic areas include hadronic interaction modeling at extreme energies, radio-based cosmic ray detection, and searches for exotic particles like magnetic monopoles. Covault leads the CWRU group in the Pierre Auger Collaboration as a member of its 15-person Technical Board, overseeing instrument performance and data integrity. His group received MRI grant funding for CTA camera development starting August 2018, focusing on GPS timing synchronization and rapid trigger processing. Collaborative projects include spectral CT imaging with Philips and Wayne State University, optical SETI telescope development, and macro dark matter investigations with Glenn Starkman. His laboratory activities center on the Auger and CTA observatories, with instrumentation specialties in photodetection systems, GPS timing networks, and wireless data transfer. The CWRU group maintains active roles in Auger's science analysis teams and CTA's prototype deployment at Mt. Hopkins Observatory, Arizona.

• Particle Astrophysics
• Gamma-ray Astronomy
• Cosmic Ray Physics
• +3 more

Andreas Jung is an Associate Professor of Physics and Astronomy at Purdue University, affiliated with the CMS experiment at CERN. His research focuses on understanding the electroweak scale stabilization via precision measurements of top quark interactions, Higgs boson studies, and detector R&D. He also explores quantum algorithms for high-energy physics and supply chain optimization. Jung earned his Ph.D. from the University of Heidelberg (2009) and a diploma from the University of Dortmund (2004). Education: Ph.D. in Physics, University of Heidelberg, 2009 (Dissertation: D* Meson Cross Section Measurement) Diploma in Physics, University of Dortmund, 2004 (Commissioning of H1 Fast Track Trigger) Research Interests: High Energy Physics, Particle Physics, Detector Development, Quantum Computing Applications, Material Science for Detectors, and Collider Experiments. His work includes analyzing top quark spin correlations, quantum annealing for vertex reconstruction, and carbon fiber composites for CMS upgrades. Awards: Senior Distinguished Researcher fellowship at Fermilab LHC Physics Center (2019) 3-year PhD scholarship from German Research Society (2004–2007) Teaching & Leadership: Teaches courses on particle physics and data science. Serves as Convener of CMS TOP Physics Analysis Group and leads detector mechanics R&D. Engages in quantum computing collaborations with DoD and industry partners. Labs/Teams: Jung Research Group at Purdue, CMS Collaboration, and Purdue Quantum Science & Engineering Institute (PQSEI). Active in detector development for the High-Luminosity LHC upgrade, including carbon fiber support structures and silicon pixel detectors.

• High Energy Physics
• Particle Physics
• Detector Development
• +3 more

Dr. Andreas Kopmann serves as Deputy Director of the Institute for Process Data Processing and Electronics (IPE) at Karlsruhe Institute of Technology (KIT) and leads the Process Data Processing group. With over two decades of experience in experimental physics and data systems, he plays a pivotal role in major international research collaborations including the KATRIN neutrino experiment and PANDA detector project. PhD in Electrical Engineering, University of Hannover (2000) Diploma in Electrical Engineering, University of Hannover (1994) Dr. Kopmann's research focuses on data acquisition systems, trigger systems, real-time monitoring, GPU computing, and data management for large-scale physics experiments. His work bridges experimental physics requirements with advanced computing technologies, particularly in high-data-rate applications for particle physics and synchrotron radiation facilities. He has pioneered novel detector technologies and data processing frameworks that enable cutting-edge scientific discoveries in neutrino physics and accelerator science. Analysis of Dr. Kopmann's recent publications reveals a strong trajectory toward higher data rates, sophisticated real-time processing, and integration of machine learning techniques. His work spans neutrino physics through KATRIN, detector development for PANDA and other experiments, and innovative data acquisition systems like KALYPSO and UFO. The interdisciplinary nature of his research combines particle physics, computing science, and electronics engineering to solve complex experimental challenges. KIT Program Lead for "Matter and Technologies" (2021-present) Coordinator of Helmholtz Program Topic "Detector Technologies and Systems" Principal Investigator in Karlsruhe School for Elementary Particle Physics (KSETA) Project Leader for Data Acquisition in KATRIN experiment As Deputy Director of IPE, Dr. Kopmann oversees research groups developing critical technologies for experiments at KIT, DESY, CERN, and other international facilities. His team's work on high-speed data acquisition, detector electronics, and computing infrastructure supports groundbreaking research in particle physics, neutrino physics, and materials science.

• Data Acquisition
• Trigger Systems
• Real-time Monitoring
• +5 more

Per-Erik Hellström is a Professor at KTH Royal Institute of Technology, affiliated with the Department of Electronics and Embedded Systems. His research focuses on semiconductor process technology, particularly the heterogeneous integration of materials like SiGe, Ge, high-κ dielectrics, and metal gates with Si CMOS to advance integrated circuits. He leads KTH's FDSOI CMOS process and circuit technology, emphasizing sequential 3D integration for future CMOS developments. Additionally, he manages the Si and SiC process line at Electrum Laboratory, overseeing tool maintenance, process control, and upgrades. Researcher ID: ORCID Location: Kistagangen 16 Email: pereh@kth.se His work involves developing nanometer-sized transistors through double patterning techniques and studying material integration for enhanced device performance. He teaches courses in electrical circuits, semiconductor devices, and nanotechnology at both Bachelor's and Master's levels, including Electrical Engineering (IF1330) , Embedded Electronics (IE1206) , and Introduction to Integrated Circuits (IL2241) . He also supervises degree projects and exams. Scientific achievements include the 2020 G03 Best Paper Award for gate stack research. His recent publications highlight advancements in Type-II superlattices, 3D integration, and high-temperature sensors. Key collaborators include PhD students working on nanotechnology and process engineering.

• Semiconductor Process Technology
• Heterogeneous Integration
• Nanoelectronics
• +4 more