جست‌وجوی استاد و پژوهشگر

Dharmraj Kotekar Patilمشاهده پروفایل

استادیار

• Quantum Computation
• Quantum Information
• Mesoscopic Physics
• +۷ مورد دیگر

Dharmraj Kotekar Patil is an Assistant Professor in the Department of Physics at the University of Arkansas, College of Arts & Sciences. He serves as the Foundry Network Coordinator for MonArk NSF Quantum Foundry. His academic journey includes a PhD from Eberhard Karls University of Tübingen, Germany, and MSc and BSc degrees from the University of Mumbai, India. His research focuses on quantum physics with particular emphasis on quantum transport phenomena in two-dimensional materials, quantum dots, and spin-based quantum computing. Dr. Kotekar Patil's work bridges fundamental quantum mechanics with practical applications in next-generation quantum technologies. His recent publications demonstrate a strong trajectory in quantum materials research, with significant contributions to understanding electron behavior in transition metal dichalcogenides, Ge/Si core/shell nanowires, and silicon-based spin qubits. His work spans both theoretical and experimental approaches to quantum transport phenomena. Quantum Computation and Quantum Information Mesoscopic Physics Quantum Transport Quantum Materials and Devices Dr. Kotekar Patil's laboratory work centers on quantum transport in two-dimensional transition metal dichalcogenides and Ge/Si core/shell nanowires, with particular focus on spin qubit implementations in silicon. His research has practical implications for the development of scalable quantum computing architectures using CMOS-compatible manufacturing processes.

Friedrich Fleischmannمشاهده پروفایل

استاد

• Optical Metrology
• Freeform Surface Measurement
• Experimental Ray Tracing
• +۳ مورد دیگر

Prof. Dr. Ing. Friedrich Fleischmann serves as a Professor at the Faculty of Production Engineering, University of Bremen, with his office located at Neustadtswall 30, 28199 Bremen (Building E, Room 208). His institutional affiliation spans multiple research initiatives focused on optical metrology and precision engineering within Germany's academic framework. His research program centers on advanced metrology techniques for freeform optical surfaces, with particular emphasis on experimental ray tracing methodologies, gradient sensor development, and characterization of both reflective and transmissive optics. Key research thrusts include the measurement of mid-spatial-frequency errors in progressive lenses, LED beam shaping optics, and high-precision verification of complex optical components. His work bridges theoretical optical design with industrial manufacturing applications, addressing critical challenges in optical quality control. Analysis of his 15 most recent publications (2019-2025) reveals a cohesive research trajectory focused on experimental ray tracing as a unifying methodology. His work demonstrates consistent innovation in surface reconstruction algorithms (particularly radial basis functions), sensor integration for gradient measurement, and cross-validation of optical metrology techniques across diverse applications from ophthalmic lenses to industrial lighting systems. The publications show strong methodological continuity between simulation frameworks and physical measurement validation. Prof. Fleischmann has led significant research projects including: Development and application of a digital twin for progressive lens verification (09/2024 - 10/2025) Further development of inventions for measuring shape and waviness of reflecting surfaces (03/2020 - 08/2021) Integrated gradient sensor for freeform surfaces using multiple light sources (09/2019 - 08/2021) Young Engineers 2015: Enhancement of Beamshaping Optical Elements for LED Lighting (eboLED) (05/2015 - 11/2019) EXIST Research Transfer: EasyPrecision measurement platform development (03/2012 - 10/2013)

• Signal Processing
• Machine Learning
• Computer Engineering
• +۳ مورد دیگر

Ehsan Namjoo serves as a Research Fellow in the Department of Electronics & Computer Engineering at the University of Limerick, with a primary affiliation at Lero – the Irish Software Research Centre. His multidisciplinary work bridges theoretical signal processing, machine learning applications, and hardware implementation for real-world systems. His research spans signal processing (DOA estimation under non-ideal noise conditions, EEG source imaging), machine learning (explainable AI for medical diagnostics, feature selection in cancer detection), and computer engineering (polar code decoders, visible light communication systems). Notable biomedical applications include breast cancer diagnosis and epileptic source analysis, while cybersecurity work focuses on intrusion detection in cloud environments. Recent publications (2021-2025) reveal a consistent trajectory toward developing lightweight, interpretable models for tabular medical data alongside robust signal processing frameworks for communication systems. His work increasingly integrates hardware-aware algorithms, particularly in polar coding implementations, and emphasizes practical validation through experimental demonstrations in visible light networks. As an active Lero researcher, Namjoo participates in Ireland's national software research ecosystem, contributing to interdisciplinary projects that connect theoretical innovations with healthcare, communications, and security applications through collaborative frameworks.

• Integrated Circuits
• Quantum Computing
• mm-Wave Transmission
• +۳ مورد دیگر

Harald Pretl is a Professor at the Department of Integrated Circuits within the Institute for Integrated Circuits and Quantum Computing at Johannes Kepler University Linz (JKU). Holding the title Univ.-Prof., he maintains active research leadership with current projects extending through 2029 and 107 documented research outputs including patents, articles, and conference proceedings. His research spans integrated circuits, quantum computing, mm-wave transmission, biomedical sensing, and open-source EDA tools. He specializes in high-frequency circuit design, ultra-low-power biomedical sensors, and educational applications of open-source design methodologies for analog/mixed-signal IC development. Recent work demonstrates cross-disciplinary innovation bridging engineering, neuroscience, and artistic expression. Recent publications reveal strong emphasis on practical implementation challenges: THz transmitter efficiency, brain-computer interface applications, ADC performance metrics, and open-source layout automation. These works collectively advance wireless communication systems, biomedical instrumentation, and accessible semiconductor design education through open-toolchain development. Prof. Pretl has supervised 3 students and actively promotes open-source EDA adoption through educational initiatives. His funded projects include Sub-blocks generators for NSSAR ADC (2025-2029), Open Parasitic Extraction for KLayout, and United Micro Technology collaborations, demonstrating sustained industry engagement. He co-leads the JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab) and contributes to the High-Performance Integrated Quantum Computing project. Current activities include 42 documented presentations such as 'Using Open-Source EDA Tools in Hands-On IC Design Education' (2025) and 'Recent Developments in Ultra-Low-Power Biomedical Sensing' (2025), reflecting his dual focus on research innovation and pedagogical advancement.

Thejasvi Beleyurمشاهده پروفایل

استاد پژوهشی

• Animal Behavior
• Sensory Biology
• Collective Behavior
• +۴ مورد دیگر

Dr. Thejasvi Beleyur is a Group Leader of the Active Sensing Collectives Lab at the Centre for the Advanced Study of Collective Behaviour, University of Konstanz, and holds an affiliated position at the Max Planck Institute of Animal Behavior. She also serves as IMPRS Faculty, contributing to interdisciplinary research at the intersection of animal behavior, sensory biology, and collective systems. Current: Group Leader, Active Sensing Collectives Lab (2025-present) Previous: Postdoc at Centre for the Advanced Study of Collective Behaviour (2021-2025) PhD: Max Planck Institute for Ornithology (2015-2021) Education: BS-MS in Biological Sciences, IISER-TVM (2008-2013) Dr. Beleyur's research program investigates how active-sensing agents like echolocating bats navigate complex sensory environments when operating in groups. Her work combines field observations, computational modeling, and swarm robotics to understand the sensorimotor strategies animals employ in information-limited settings. She has pioneered the development of the Ushichka dataset—a multichannel audio-video system for recording echolocating bats in natural habitats—which provides unprecedented insights into how bats modify flight and echolocation behaviors as group sizes change. Her publication record reveals a consistent trajectory examining sensory challenges in collective animal systems, with emphasis on echolocating bats. The research spans experimental field work, computational modeling, and methodological innovations in acoustic and video tracking. Recent work has expanded into developing computational tools like the beamshapes Python package for sound source modeling and exploring robot platforms to simulate bat collective behavior. Carl-Zeiss Nexus grant for inter-disciplinary research (2025) DFG Walter Benjamin postdoc grant (2021-2023) Early Career Researcher Award at International Bioacoustics Congress Google Cloud Platform Research Credits award ($1000) DAAD-GSSP Stipend for doctoral studies (2015-2020) Dr. Beleyur actively mentors students in her lab, currently supervising PhD student Frithjof and Master's student Aditya, following the completion of Gabriele's Master's thesis on the active-sensing Ro-BAT platform. Her research program is supported by competitive grants including the Carl-Zeiss Nexus grant and previously the DFG Walter Benjamin fellowship, which funded her work on 'The How and What of Active Sensing Collectives.' The Active Sensing Collectives Lab brings together an interdisciplinary team working at the interface of sensory biology, robotics, and collective behavior. The lab develops novel computational methods for analyzing complex datasets from multi-sensor field recordings, with emphasis on creating tools for long-term community use. Current projects include characterizing echolocating groups in the field and studying sensorimotor strategies using computational modeling.

Jayadev Vijayanمشاهده پروفایل

پژوهشگر ارشد

• Quantum Engineering
• Optomechanics
• Quantum Optics
• +۵ مورد دیگر

Dr. Jayadev Vijayan is a Dame Kathleen Ollerenshaw Research Fellow and Head of the Quantum Engineering Lab at the University of Manchester's Department of Electronic and Electrical Engineering. His research focuses on developing quantum technologies using mechanical and atomic systems, particularly in optomechanics, levitated nanoparticles, and quantum sensors. He holds a PhD in Quantum Many-Body Physics from the Max Planck Institute for Quantum Optics and a Master's in Optics and Photonics from Karlsruhe Institute of Technology. Education: BSc Physics (Loyola College, Chennai), MSc Optics & Photonics (Europhotonics, Europe), PhD Quantum Many-Body Physics (MPQ, Munich) Research interests include quantum optomechanics, levitated systems, quantum control, and applications in inertial sensing. He leads collaborations with ETH Zurich, TU Vienna, and King's College London. Notable achievements include scalable optical cooling techniques and cavity-mediated interactions in levitated nanoparticles. Awards include the Horizon 2020 Seal of Excellence. His lab explores quantum engineering with doped quantum emitters and advanced optical systems.

• Embedded Systems
• Internet of Things
• Cyber-Physical Systems
• +۱۷ مورد دیگر

Kasim Sinan Yildirim is an Associate Professor in the Department of Information Engineering and Computer Science at the University of Trento, where he conducts research at the intersection of embedded systems, Internet of Things (IoT), and wireless communication technologies. His work focuses on developing innovative hardware and software solutions for resource-constrained and energy-limited environments. His research interests include: Hardware and software design for batteryless and intermittently powered embedded systems Energy harvesting and transient computing Wireless sensor networks and self-organizing networks Backscatter and visible light communication Edge learning and inference Distributed algorithms and real-time computing The absence of published articles in the provided text prevents analysis of publication trends. However, his research direction emphasizes sustainable, low-power computing paradigms essential for next-generation IoT deployments. There are no listed scientific awards in the provided information. Dr. Yildirim advises students and contributes to academic training, though specific advisees are not listed. There is no mention of external grants or funded projects in the provided text. He is involved in research related to advanced embedded and cyber-physical systems, particularly focusing on novel computing models for batteryless devices and sustainable IoT infrastructures.

• Micropower Devices
• Nanomagnetics
• Materials Science
• +۴ مورد دیگر

**Saibal Roy** is a **Research Professor** at the **School of Physics, National University of Ireland – University College Cork (UCC)**, and **Senior Principal Scientist** leading the **Micropower Devices & Nanomagnetics** research group at the **Tyndall National Institute**. He holds prestigious awards including the **Tom Brazil Excellence in Research Award (2020)** and the **INSA Visiting Chair Professorship (2015)**. His research focuses on energy harvesting, nanomagnetics, and advanced materials for integrated microelectronics. **Education**: M.Sc. in Physics from IIT Kharagpur (India), Ph.D. in Physics/Materials Science from IACS (1994). **Professional Experience**: Over 30 years in academia and industry, including leadership roles in multinational collaborations. **Research**: Specializes in engineered nanostructures for microscale devices, with contributions to magnetoelectronics, spintronics, and high-frequency magnetic materials. His work has led to >€12M in grants from SFI, EU, NSF, and industry partners (e.g., Intel, Analog Devices). **Awards**: Recognized for innovations in electromagnetic energy transduction and licensing patented technologies to industry. His team’s achievements include global benchmarks for integrated magnetics and wideband energy harvesters. **Grants & Collaborations**: Active in international programs like **Beyond CMOS Nanodevices (EU)** and **MERIT (SFI)**. Collaborates with institutions such as Stanford University, Cambridge, and EPFL.

• Organic Field Effect Transistors
• Dielectric Materials
• Low Voltage Electronics
• +۶ مورد دیگر

Sheida Faraji is an Assistant Professor at Istanbul Technical University , Faculty of Electrical and Electronics Engineering. Her research focuses on organic electronics, with an emphasis on organic field-effect transistors (OFETs), dielectric materials, and sensor technologies. She specializes in developing sustainable, low-voltage electronic systems using eco-friendly polymers and functional materials. Her work contributes to UN Sustainable Development Goals , particularly in advancing affordable and clean energy (SDG 7) and industry innovation (SDG 9). She has collaborated internationally, with notable contributions to hybrid organic/metal-oxide sensor systems and fluorescent ion sensors. Recent publications highlight advancements in nanocomposite dielectrics for OFETs, gas sensors operating at room temperature, and optoelectronic applications like artificial synapses. Her research bridges material science and electronics, addressing challenges in low-power devices and environmental monitoring.

Joseph Makinمشاهده پروفایل

استادیار

• Mathematical Neuroscience
• Neural Computation
• Brain-Machine Interfaces
• +۷ مورد دیگر

Joseph Makin is an Assistant Professor of Electrical and Computer Engineering at Purdue University, affiliated with the Elmore Family School of Electrical and Computer Engineering. His research focuses on mathematical neuroscience, neural computation, and brain-machine interfaces (BMIs), with a strong emphasis on machine learning applications in neuroscience. He leads the Makin Lab, which develops algorithms for BMI/BCI systems, investigates theoretical aspects of neural computation, and explores pure machine learning principles inspired by biological systems. Education: Not explicitly listed in provided texts. His work bridges computational neuroscience and engineering, particularly in decoding speech and movement from neural activity using ECoG arrays. Notable projects include real-time speech decoding in paralyzed individuals and developing encoder-decoder frameworks for cortical activity translation. The lab also focuses on advancing recurrent neural network architectures and probabilistic graphical models, as evidenced by their textbook An Introduction to Modern Statistical Learning . Recent research trends emphasize self-supervised learning for speech decoding, hybrid system modeling of biological processes, and translational applications in neuroprosthetics. His team collaborates with neurosurgeons and biomedical engineers to translate theoretical insights into clinical tools. Scientific Awards: No explicit awards listed, though his BCI project reached finalist status in a major competition. Makin advises graduate students in machine learning and BMI projects, prioritizing strong backgrounds in neural networks and statistical methods. The Makin Lab is part of Purdue's broader efforts in computational neuroscience and biomedical engineering.

• Molecular Beam Epitaxy
• Semiconductor Materials
• Infrared Detectors
• +۳ مورد دیگر

Dr. Renjie Gu is a Research Fellow at the University of Western Australia (UWA), affiliated with the Microelectronic Research Group (MRG) in the School of Electrical, Electronic and Computer Engineering. He holds an ARC Super Science Fellowship and specializes in molecular beam epitaxy (MBE) growth of semiconductor materials for infrared detectors, lasers, and solar cells. His work contributes to UN Sustainable Development Goals related to affordable and clean energy. Education: PhD in Semiconductor Materials (Chinese Academy of Sciences, 2012). Research focuses on MBE epitaxial growth, thin film characterization, and applications in optoelectronic devices. His recent publications (2024) highlight advancements in HgCdTe film growth, terahertz spectroscopy for carrier mobility analysis, and infrared sensing technologies. Awards: ARC Super Science Fellow (Microelectronic Research Group) Collaborations: Active research networks in Australia and globally, focusing on infrared materials and sensor technologies. Labs/Teams: Core member of UWA's Microelectronic Research Group (MRG), leading MBE-based semiconductor research initiatives.

Tongsheng Wangمشاهده پروفایل

پژوهشگر

• Microfluidics
• Magnetic Actuation
• Biomedical Engineering
• +۵ مورد دیگر

Tongsheng Wang is a Postdoc researcher in the Department of Mechanical Engineering at Eindhoven University of Technology, affiliated with the Group Den Toonder. His research focuses on developing and applying magnetic artificial cilia for microfluidic systems, biomedical devices, and self-cleaning surfaces. Key areas include microfluidic mixing, shear-thinning fluid dynamics, and programmable motion control in lab-on-a-chip technologies. He completed his PhD in 2025, titled 'Programmable Magnetic Artificial Cilia and Their Microfluidic Applications.' Research Interests: - Microfluidics and lab-on-a-chip systems - Magnetic actuation and artificial cilia design - Anti-biofouling surfaces and self-cleaning mechanisms - Biomedical microdevices and organ-on-a-chip platforms - Fluid dynamics in microscale environments Recent Work Trends: Recent publications emphasize advancements in metachronal motion of magnetic cilia for enhanced mixing, microalgae growth enhancement, and integration of cilia-based pumps into biomedical devices. His work bridges mechanical engineering with biomedicine, addressing challenges in controlled microscale fluid handling and biocompatible surface engineering. Collaborations: Collaborations include projects on microfabricated medical devices and biomimetic systems. His work has been highlighted in media for innovations like miniaturized metachronal cilia, featured in Proceedings of the National Academy of Sciences .

Thomas Hummelمشاهده پروفایل

عضو هیئت علمی

• Quantum Optics
• Cryogenic Electronics
• Integrated Photonics
• +۳ مورد دیگر

Thomas Hummel is a Research Associate and Member of the Institute for Photonic Quantum Systems (PhoQS) at the University of Paderborn. He is part of the Infrastructure Team 2 within PhoQS and affiliated with the Mesoscopic Quantum Optics research group. His work focuses on cryogenic electronics and quantum photonics, particularly in superconducting nanowire detectors and cryogenic systems. He holds an office at Warburger Str. 100, Room ST0.314, and can be reached via thomas.hummel@uni-paderborn.de or +49 5251 60-4592. His research interests include advancing cryogenic photon detection technologies, studying material properties under extreme conditions (e.g., lithium niobate's pyroelectric behavior), and developing high-performance quantum photonic devices. His recent publications (2023–2025) emphasize nanosecond-scale detector gating, photon-number-resolving systems, and integrated cryogenic photonics. No scientific awards are explicitly listed in the provided texts. His advising and grant activities are not detailed here, but his active participation in PhoQS and collaborations with groups like C. Silberhorn’s lab suggest involvement in major quantum technology initiatives. Thomas Hummel’s work is critical to the university’s efforts in photonic quantum systems and cryogenic instrumentation.

Yumi Ijiriمشاهده پروفایل

استاد

• Magnetic Materials
• Nanoparticle Physics
• Magnetostrictive Alloys
• +۳ مورد دیگر

Yumi Ijiri is the Francis D. Federighi Professor of Natural Sciences and Professor of Physics at Oberlin College, part of the College of Arts & Sciences. She holds a BA from Princeton University (1991), and MS (1994) and PhD (1996) from Cornell University. Her research focuses on synthesizing and understanding novel magnetic materials, including nanoparticles, nanocrystalline alloys, and exchange-biased systems. Techniques include polarized small-angle neutron scattering and collaborations with institutions like Carnegie Mellon University and Lawrence Livermore National Laboratory. Key research areas include nanomagnetism, magnetostrictive materials, and biomedical applications of magnetic nanoparticles. She has led NSF-funded projects on nanoparticle magnetic interactions and has been a principal investigator on grants totaling over two decades. Notable collaborations include work with Sara Majetich (nanoparticle properties), Scott McCall (Fe-Ga alloys), and Maciej Zborowski (biomedical applications). Current Projects: Magnetostrictive materials for sensors, ferrite nanoparticle assemblies Grants: NSF RUI (2016–present), NASA (2004–2005), ACS-PRF (multiple periods) Teaching includes courses like Materials Physics (PHYS 340), Mechanics and Relativity (PHYS 110), and co-developed curricula such as the FYSP 143 seminar. She advises graduate and undergraduate researchers, including notable advisees Alex Yu ’23, Emily Everhart ’22, and Aidan Khelil ’22. Awards include NRC/NIST Postdoctoral Research Fellowship (1996–1998) and ACS-PRF summer fellowships. Her work bridges fundamental physics with applied technologies, emphasizing interdisciplinary collaboration.

• Magnetoresistive Sensors
• Non-Destructive Testing
• Neural Networks
• +۵ مورد دیگر

Diogo Caetano is an Invited Assistant Professor at the Department of Electrical and Computer Engineering, Higher Technical Institute (University of Lisbon). His research focuses on advanced sensor systems, magnetoresistive technologies, and biomedical applications. Key areas include integrated circuits for magnetic sensors, non-destructive testing methodologies, neural networks for defect detection, and miniature diagnostic tools. He is affiliated with INESC MN, a prominent research unit in applied engineering. His work spans interdisciplinary projects such as magnetic flow cytometry for bacteria detection, eddy-current based industrial inspection systems, and low-power biomedical sensor interfaces. Recent contributions include innovations in sigma-delta modulators for organ-on-chip systems and high-resolution nondestructive test probes using magnetoresistive arrays. Caetano has co-authored over 30 technical publications and holds patents in sensor interface design and signal processing. His research emphasizes practical applications in healthcare, industrial automation, and structural monitoring, leveraging both hardware innovation and machine learning techniques.