جست‌وجوی استاد و پژوهشگر

Tomislav Suligojمشاهده پروفایل

استاد

• Microelectronics
• Semiconductor Devices
• RF Circuit Design
• +۳ مورد دیگر

Tomislav Suligoj is a Full Professor at the Department of Electronics, Microelectronics, Computer and Intelligent Systems, Faculty of Electrical Engineering and Computing (FER) at the University of Zagreb. His research focuses on advanced semiconductor devices including horizontal current bipolar transistors (HCBT), single-photon avalanche diodes, and GaN-based high-electron-mobility transistors. Research areas include: Microelectronics, Semiconductor Device Physics, RF Circuit Design, Photodiode Optimization, FinFET Technology, and Gallium Nitride Transistors Key technologies: HCBT (low-cost BiCMOS integration), PureB SPADs (dark count suppression), GaN HEMTs (high 2DEG density), and MALTA architecture (radiation-tolerant sensors) His recent publications analyze: Ultra-low dark count SPADs in 180 nm CMOS Cryogenic temperature performance of HCBT devices Ballistic transport in phosphorene nanoribbon FETs Radiation-hard sensors for ATLAS High Luminosity LHC Advanced mobility modeling in ultra-thin InGaAs channels Stress effects in FinFET structures

Benjamin Maxمشاهده پروفایل

پژوهشگر ارشد

• Neuromorphic Computing
• Memristive Devices
• Ferroelectric Materials
• +۳ مورد دیگر

Benjamin Max serves as a Group leader at Dresden University of Technology specializing in semiconductor processes, devices, and integration. His research focuses on resistive and ferroelectric switching effects in HfO 2 /HZO-based devices, neuromorphic computing architectures, and monolithic 3D semiconductor integration. He teaches core undergraduate Electrical Engineering courses including ET1 (Basics of Electrical Engineering), ET2 (Electrical and Magnetic Fields), ET3 (Dynamic Networks), plus specialized seminars in Memory Technology and Semiconductor Technology. His primary research domains include: Neuromorphic computing using HZO-based ferroelectric tunnel junctions (FTJs) for spiking neural networks (STDP, depression/potentiation) Memristive crossbar arrays with functionalized NbO x /AlO x gate oxides Bi-layer FTJ and RRAM/FeRAM capacitor development Monolithic 3D integration of IGZO-based metal oxide semiconductors Quantum-dot flash memory (QD-Flash) systems Dr. Max's experimental expertise spans thin-film deposition (PVD, CVD, ALD), wet chemistry processing, lithography, and advanced electrical characterization including pulsed I-V/C-V measurements, ferroelectric hysteresis testing, and temperature-dependent transport analysis. His team employs scanning probe microscopy (AFM/PFM) for nanoscale material characterization within semiconductor device development workflows.

Nicolò Zagniمشاهده پروفایل

پژوهشگر

• Power Electronics
• Semiconductor Device Reliability
• Gallium Nitride (GaN) Technology
• +۴ مورد دیگر

Nicolò Zagni is a Postdoc Researcher at the University of Modena and Reggio Emilia (UNIMORE) , focusing on Gallium Nitride (GaN) and Ferroelectric device reliability. He earned a PhD in Information and Communication Technologies (ICT) in 2021 with a thesis on Simulation and Modeling of GaN Electronics . His research spans power electronics , dynamic on-resistance (RON) instabilities , phase-transition logic switches , and negative capacitance transistors . He has explored GaN device degradation under OFF-state stress , hole emission from carbon traps , and ferroelectric endurance . Key article trends include device simulation (TCAD) , trap dynamics in GaN , and novel materials for RF/millimeter-wave amplifiers . Collaborations include institutions like Purdue University and studies on SiC and MoS₂ applications.

• Machine Learning
• AI Hardware
• Reliability Analysis
• +۴ مورد دیگر

Rodion Novkin is a researcher at the Chair of AI Processor Design (AI-Pro) at Technical University of Munich (TUM). His work bridges machine learning with semiconductor reliability and hardware design, focusing on emerging technologies like neuromorphic computing and RISC-V for AI. Research interests include: Machine Learning for electronic reliability analysis Quantization-aware training techniques for neural networks FeFET/FinFET device degradation modeling ML-driven TCAD (Technology CAD) solutions Quantum computing hardware challenges Approximate computing for edge AI 2023 publications highlight trends in applying ML to semiconductor reliability, graph neural network optimization, and FeFET device modeling. His work spans from device physics to system-level AI implementations. Contact: rodion.novkin@tum.de

Dominic Greiffenbergمشاهده پروفایل

پژوهشگر

• X-ray Detection
• Semiconductor Sensors
• Synchrotron Radiation Instrumentation
• +۲ مورد دیگر

Dominic Greiffenberg is a researcher at the Paul Scherrer Institute (PSI), focusing on the development of High-Z sensors for advanced X-ray detection. He is affiliated with the Laboratory for X-ray Nanoscience and Technologies, where he leads technical advancements in detector hybridization and characterization. Education: PhD in physics from the University of Freiburg (Germany), with research at the University of Karlsruhe and international stays at Czech Technical University and University of Canterbury. His research targets extending detector energy ranges beyond silicon limitations, particularly for photon energies above 20 keV. He employs high-granularity detectors like JUNGFRAU/MONCH to study spectral information and sensor optimization. Recent publications highlight work on GaAs:Cr sensors, radiation hardness, and hybrid pixel detector simulations. Key trends in his publications (2021–2025) include advancements in soft X-ray detection, radiation-hard materials, and on-chip digitization techniques. Collaborations span institutions like European XFEL and teams working on synchrotron radiation.

Amrita Bhattacharyaمشاهده پروفایل

دانشیار

• Computational materials science
• Charge and heat transport
• Defects in semiconductors
• +۷ مورد دیگر

Dr. Amrita Bhattacharya is an Associate Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay). She has been a faculty member since December 2017, advancing to Associate Professor in May 2021. Prior to joining IIT Bombay, she held prestigious positions including Max Planck Postdoctoral Scientist at the Fritz Haber Institute in Germany and DST Inspire Faculty at the National Physical Laboratory in New Delhi. Her educational background includes a Ph.D. in Computational Physics from the Indian Association for the Cultivation of Science and an MSc in Physics from Burdwan University. Dr. Bhattacharya's research is focused on computational materials science, with core interests in: Charge and heat transport in thermoelectric materials Defects in semiconductors Magnetic structure in strongly correlated materials Quantum confinement effects in 2D planar nanomaterials (e.g., graphene, silicene, BN sheets) Machine learning applications for predicting physical properties of materials Development of computational methods for analyzing electronic and phononic properties Her recent publications reveal a strong trend toward high-throughput computational screening, machine learning of material properties (such as lattice thermal conductivity and zero-point energy), and the design of efficient thermoelectric materials like half-Heusler alloys and Bi2S3. Her work integrates density functional theory (DFT) with advanced transport models and data science to accelerate materials discovery. She has received several notable awards and recognitions: Max-Planck Postdoctoral Fellowship (2013–2016) DST Inspire Faculty Award (2015) DAAD Travel Grant (2016) Young Scientist Award, Materials Research Society India (2012) Kawazoe Best Poster Award, ACCMS-TM2DS, Bangalore (2012) DST Travel Grant (2011) Dr. Bhattacharya is actively involved in research funding and mentoring. She leads the Ab initio Computational Materials Simulation laboratory and has ongoing projects, including a BRNS-funded project on spin-orbit driven thermoelectric materials. She recruits Junior Research Fellows (JRFs) and postdoctoral researchers, indicating her active supervision of students and early-career scientists. She also contributes to method development in computational materials science, including coding tools for analyzing band structures, phonon properties, and elastic constants. She maintains a strong publication record in high-impact journals such as Physical Review Letters , ACS Applied Materials & Interfaces , Acta Materialia , and Journal of Materials Chemistry C .

Elisa Riedoمشاهده پروفایل

استاد

• Nanotechnology
• Nanomechanics
• Graphene
• +۵ مورد دیگر

Elisa Riedo is Professor of Chemical and Biomolecular Engineering at NYU Tandon School of Engineering and Professor of Physics at NYU's College of Arts and Science. She previously held the position of Professor of Physics at Georgia Institute of Technology from 2003 to 2015. Education: Summa cum laude B.S. and Ph.D. in Physics from the University of Milano, with a joint thesis involving the European Synchrotron Research Facility (ESRF) in Grenoble, France. Postdoctoral research at EPFL, Switzerland. Research Interests: Pioneering work in thermal scanning probe lithography (tSPL) for nanofabrication, graphene and 2D materials with applications in quantum computing , nanoelectronics , and biomedical devices . Fundamental contributions in nanomechanics , diamene , and nanoconfined water . Scientific Recognition: Fellow of the American Physical Society Elected to the prestigious Academy of Europe Research Trends: Combines graphene stacking domains , MXene films for EMI shielding , and field-effect transistor biosensors using tSPL technology. Recent focus on quantum Hall effects , superconductivity , and scalable fabrication methods . Mentoring & Grants: Mentoring style emphasizes informal discussions , humor , and work-life balance . Recipient of NSF , DOE , DARPA , and US Army Research Office grants. Holds a US patent for transparent infrared electrodes. Labs & Collaborations: Leads the Riedo Group at NYU, co-directs the NanoBioX initiative , and utilizes the Nanofabrication Cleanroom . Collaborates with institutions including Charles University, Drexel University, Brookhaven National Laboratory, Mirimus, and Lendlease.

Pinaki Mazumderمشاهده پروفایل

استاد

• CMOS VLSI design
• Semiconductor memory systems
• Quantum tunneling circuits
• +۳ مورد دیگر

Pinaki Mazumder is Professor of Electrical Engineering and Computer Science at the University of Michigan College of Engineering. He earned his PhD from University of Illinois at Urbana-Champaign and has 25+ years of teaching experience. His research develops CMOS VLSI systems, semiconductor memories, CAD tools for quantum devices, and bio-inspired computing architectures. Innovations include testable DRAM circuits and self-healing memory compilers used industrially. He has authored books on VLSI routing, neuromorphic computing, and genetic algorithms in circuit design. His work spans quantum MOS, spintronics, and plasmonic devices. Recognition: Fellow of IEEE Fellow of American Association for Advancement of Science Dr. Mazumder has secured research funding from NSF, DARPA, DoD, and industry partners. He developed the Quantum SPICE simulator for quantum tunneling circuits and teaches courses on VLSI design, parallel architectures, and nanoelectronics.

Nicola Colonnaمشاهده پروفایل

پژوهشگر

• Computational Materials Science
• Electronic Structure
• Koopmans Functionals
• +۱ مورد دیگر

Nicola Colonna is a Tenure Track Scientist (mapped to Researcher) at Paul Scherrer Institute's Laboratory for Materials Simulations. Focuses on Koopmans spectral functionals and electronic structure theory. Research develops computational methods for predicting electronic properties of quantum materials, perovskites, and nanoporous systems using orbital-density-dependent functionals. Recent publications (2021-2024) demonstrate: 60% focus on Koopmans functional methodology development, 25% on perovskite electronic structures, and 15% on quantum material characterization. Common themes include spectral accuracy, high-throughput screening, and validation against experimental benchmarks. Software Development: Contributed to open-source koopmans package for spectral property prediction.

Siddharth Rajanمشاهده پروفایل

استاد

• Semiconductor Devices
• Wide-Bandgap Semiconductors
• Molecular Beam Epitaxy
• +۴ مورد دیگر

Siddharth Rajan is a Distinguished Professor of Engineering at The Ohio State University, jointly appointed in the Department of Electrical and Computer Engineering and Materials Science and Engineering. He joined Ohio State in 2008 after receiving his PhD from UC Santa Barbara in 2006 and research roles at UC Santa Barbara and GE Global Research. His expertise spans semiconductor materials and devices, with a focus on wide-bandgap semiconductors (GaN, AlN, Ga 2 O 3 ), molecular beam epitaxy, power/RF electronics, and optoelectronics. Rajan leads a dynamic research group specializing in semiconductor heterostructures, epitaxial growth, and advanced device fabrication. Key research areas include: High-frequency mm-wave/RF devices Energy-efficient power electronics Visible/UV optoelectronic systems Novel materials engineering (e.g., β-Ga 2 O 3 , AlGaN) His publications demonstrate a strong emphasis on tunnel junctions, heterostructure design, and high-breakdown field devices, with consistent themes in efficiency optimization for LEDs and transistors. Rajan has received numerous awards, including: NAMBE Young Investigator Award (2017) Harrison Award for Research Excellence (2018) JSAP Outstanding Paper Award (2018) Multiple Best Student Paper awards (2006, 2008, 2013) He actively advises PhD students, with recent graduates focusing on GaN power devices, UV LEDs, and oxide semiconductors. His lab utilizes specialized facilities for epitaxial growth and device characterization, supported by grants from agencies like the DOE.

• Condensed Matter Physics
• Quantum Materials
• Nanophysics
• +۳ مورد دیگر

Prof. Dr. Tomasz Smolenski is a tenure-track Assistant Professor in the Department of Physics at the University of Basel, Switzerland, leading the FG Smolenski research group within the Faculty of Science. His research focuses on quantum materials and condensed matter physics with particular emphasis on 2D materials and their quantum optical properties. Dr. Smolenski's educational background includes: Bachelor's degree in Physics from University of Warsaw, Poland (2010) Master's degree in Physics from University of Warsaw, Poland (2012) PhD in Condensed Matter Physics from University of Warsaw (2018) with summa cum laude His research investigates collective electronic, excitonic, and spin phenomena in tunable atomically-thin quantum materials using low-temperature magneto-optical and quantum-optical spectroscopy. His group designs and assembles van der Waals heterostructures and probes them with various opto-electronic techniques including linear/non-linear spectroscopy, ultra-fast time-resolved experiments, and super-resolution imaging. This enables exploration of novel strongly correlated phases of matter such as electronic crystals, topological liquids, and unconventional magnets. Analysis of Dr. Smolenski's recent publications reveals a strong focus on quantum phenomena in 2D materials, particularly concerning excitons, topological phases, and quantum confinement effects. His work bridges fundamental condensed matter physics with potential applications in quantum technologies and quantum computing. Dr. Smolenski has received notable recognition for his work: Polish Prime Minister Prize—the most prestigious award for a PhD thesis in Poland Fellowship from the Polish National Science Centre Before joining the University of Basel in 2025, Dr. Smolenski worked as a postdoctoral researcher at ETH Zürich under Atac Imamoglu. During his PhD studies, he collaborated with LNCMI-CNRS in Grenoble, France. His research group is part of the Basel Quantum Center, which focuses on quantum science and technology applications in quantum computing, sensing, communication, and simulation.

• Computational Photonics
• Quantum Electronics
• Semiconductor Device Modeling
• +۳ مورد دیگر

Takuma Sato, M.Sc., is a researcher affiliated with the Associate Professorship of Computational Photonics at the Technical University of Munich ( TUM School of Computation, Information and Technology ). His work focuses on modeling quantum cascade devices and participating in projects like the EU-funded QOMBS initiative. Research interests include: Quantum cascade laser simulation Interband cascade devices 8-band k.p modeling Nanophotonic semiconductor structures Optoelectronic device physics Quantum transport phenomena His 2022 publication at the International Quantum Cascade Lasers School & Workshop demonstrates expertise in Non-Equilibrium Green's Function methods and semiconductor physics. Contact: takuma.sato@tum.de

Dawei Luمشاهده پروفایل

دانشیار

• Quantum Information Processing
• Nuclear Magnetic Resonance
• Quantum Control
• +۶ مورد دیگر

Dawei Lu is an Associate Professor in the Department of Physics at Southern University of Science and Technology (SUSTech), where he leads the Spin Quantum Computing Lab. He has been with SUSTech since August 2017, initially as an Assistant Professor before being promoted to Associate Professor in May 2019. His educational background includes: PhD in Quantum Information Physics (2012) from University of Science and Technology of China (Hefei National Laboratory for Physical Sciences at Microscale) BSc in Optical Information Science and Technology (2007) from University of Science and Technology of China (Special Class for Gifted Young) Professor Lu's research focuses on experimental quantum computing using spin systems, particularly nuclear magnetic resonance (NMR) and nitrogen-vacancy (NV) centers in diamond. His work spans quantum control, quantum simulation, quantum metrology, and quantum thermodynamics. He holds the world record for controlling the largest number of qubits (12) using NMR technology. His research group has made significant contributions to quantum algorithms, quantum simulation of complex systems, and quantum thermodynamics, with numerous publications in top journals including multiple papers in Physical Review Letters. Analysis of Professor Lu's recent publications reveals a strong focus on quantum thermodynamics, quantum simulation of complex systems, and quantum metrology. His work often combines theoretical advances with experimental implementations on NMR and NV center platforms. There's a clear trend toward exploring quantum advantage in thermodynamic processes, quantum machine learning applications, and topological quantum computing. Professor Lu has received several prestigious awards: 2020 Pearl River Recruitment Program of Talents (Youth) 2020 Peng Cheng Professor 2018 National 1000-Talent Youth Plan 2017 Overseas High-Caliber Personnel in Shenzhen (Peacock Plan) 2012 CAS Presidential Scholarship Professor Lu actively mentors students and has advised numerous PhD and Master's students who have gone on to successful careers in academia and industry. His research is supported by multiple grants from the National Natural Science Foundation of China and provincial/municipal funding agencies. He has published over 50 papers as first or corresponding author, including 15 in Physical Review Letters. At SUSTech, Professor Lu established the Spin Quantum Computing Lab in August 2017, which focuses on realizing physical quantum computers using spins. The lab has two main experimental platforms: NMR quantum computing and NV center quantum computing. The lab's research encompasses a diverse array of quantum technologies, including quantum control, quantum simulation, quantum machine learning, quantum metrology, and quantum thermodynamics.

Matthias Schmidمشاهده پروفایل

پژوهشگر

• Solar Energy
• Photovoltaics
• Computational Physics
• +۳ مورد دیگر

Dr. Matthias Schmid is a researcher at the Institute of Computational Physics within the School of Engineering at Zurich University of Applied Sciences (ZHAW) in Winterthur, Switzerland. He can be contacted at matthias.schmid@zhaw.ch and by phone at +41 (0) 58 934 75 48. His academic background includes a doctoral degree, as indicated by the title "Dr.", and he is actively engaged in research projects related to photovoltaics and solar energy conversion technologies. His research interests are centered on computational modeling of solar energy conversion devices. Specifically, he focuses on perovskite solar cells, dye-sensitized solar cells, and photoelectrochemical water splitting systems. He employs advanced techniques such as coupled optical and electronic modeling to investigate charge transport, recombination dynamics, and the effects of mobile ions on device performance. This work bridges theoretical physics and practical engineering challenges in renewable energy, aiming to improve the efficiency and sustainability of solar technologies. Dr. Schmid's publication record spans from 2007 to 2019, showing an evolution from theoretical particle physics (e.g., anomalous abelian solitons) to applied solar energy research. His recent work (2019) addresses perovskite solar cells, while publications in 2014 and 2011 focused on water splitting and dye-sensitized cells, respectively. A common thread is the use of computational methods to understand fundamental processes in energy materials, with implications for device design and optimization. No scientific awards or fellowships were explicitly mentioned in the available information. In terms of research projects, Dr. Schmid has been involved in the PV2050 initiative, where he served as a project leader for the "Simulation and Characterization" component and as a team member for the "Sustainability, market deployment and interaction to the grid" project. Both projects are now completed and addressed advanced photovoltaic solutions and their integration into energy systems. He is part of the research team at the Institute of Computational Physics at ZHAW, which provides a collaborative environment for computational studies of physical systems. His work involves close collaboration with international researchers, including prominent scientists such as Michael Grätzel from EPFL, indicating strong ties to the global solar energy research community.

Mitali Banerjeeمشاهده پروفایل

استادیار

• Condensed Matter Physics
• Quantum Materials
• Topological Insulators
• +۶ مورد دیگر

Mitali Banerjee is a Tenure Track Assistant Professor at the École Polytechnique Fédérale de Lausanne (EPFL) within the School of Basic Sciences and the Institute of Physics. She leads the Laboratory of Quantum Physics, Topology and Correlations, focusing on quantum transport, topological materials, and strongly correlated systems in 2D materials like graphene and van der Waals heterostructures. Specializes in quantum Hall effect, superconductivity, and noise spectroscopy Teaches foundational courses in quantum mechanics and advanced topics in quantum transport Coordinates PhD program committees and mentors current and former doctoral students Her recent research explores twisted graphene systems, Hofstadter subbands, and kinetic inductance, with applications in topological quantum computing. She employs cutting-edge fabrication techniques like thermal scanning probe lithography and grayscale nanotopography for device engineering.