جست‌وجوی استاد و پژوهشگر

• Computer Architecture
• GPU Systems
• Accelerators for Machine Learning
• +۴ مورد دیگر

Jose Luis Abellan Miguel is a Ramón y Cajal Fellow and Tenure-Track Associate Professor at the University of Murcia's Department of Computer Engineering and Technology. He leads the EcoArTech team and is a European R3 researcher. Previously, he held roles at the University of Ferrara, Boston University, and Universidad Católica de Murcia. His research focuses on GPU architectures, accelerators for machine learning, and privacy-preserving computing, particularly Fully Homomorphic Encryption (FHE). He has authored over 70 peer-reviewed publications and contributed to conferences like ISCA, HPCA, and MICRO. Education: Bachelor's, Master's, and PhD in Computer Science and Engineering (University of Murcia, 2007–2012) Research Interests: Abellan's work emphasizes architectural enhancements for GPU systems, customized accelerators for ML and FHE, and efficient synchronization/communication in many-core architectures. His contributions include tools like MGPU-Sim and STONNE for simulation, and frameworks like FIDESlib for FHE on GPUs. Recognition: HiPEAC Paper Awards (2011, 2019–2024) Top Picks in Hardware and Embedded Security 2024 European R3 Certificate (2024) Editorial roles at ACM TACO and Frontiers in Electronics Grants & Leadership: Recipient of a Ramón y Cajal fellowship and a Consolidación Investigadora grant. He chairs sessions at conferences like ISPASS and serves on TPCs for venues including DATE, HPCA, and MICRO. His lab collaborates with institutions like Georgia Tech, Northeastern University, and Intel. Labs/Teams: He leads the EcoArTech team, focusing on next-gen computing systems via architectural simulators. Collaborators include researchers from MIT, Boston University, and industry partners like NVIDIA and Intel.

Kyle S. Minorمشاهده پروفایل

دانشیار

• Clinical Psychology
• Severe Mental Illness
• Psychosis
• +۴ مورد دیگر

Kyle S. Minor, Ph.D., is an Associate Professor in the Department of Psychology at Indiana University with affiliations at the Roudebush VA Medical Center and the Cognition, Language, and Affect in Serious Psychopathology (CLASP) laboratory. His research focuses on clinical risk markers of psychosis and interventions for schizophrenia-spectrum disorders. Education: 2013: Postdoctoral Fellowship, Center for Early Detection, Assessment, and Response to Risk, Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center 2012: Ph.D. in Clinical Psychology, Louisiana State University 2012: Clinical Psychology Internship, Massachusetts Mental Health Center, Department of Psychiatry, Harvard Medical School at Beth Israel Deaconess Medical Center 2009: M.A. in Psychology, Louisiana State University 2004: B.A. in English, Northern Kentucky University 2004: B.A. in Psychology, Northern Kentucky University Dr. Minor's research centers on three core objectives: (1) Developing novel lab and real-world assessments for psychosis mechanisms, particularly Formal Thought Disorder (FTD); (2) Linking clinical risk markers to functional outcomes using ecologically valid objective measures; (3) Creating technology-enhanced interventions for psychosis-spectrum populations. His work integrates cognitive, social, and affective domains with emphasis on real-world applicability. Analysis of his 2014-2019 publications reveals consistent focus on schizophrenia and psychosis through automated speech analysis, natural language processing, and multi-method assessment. Key trends include objective measurement of FTD in daily life, emotion-cognition interactions in psychosis, and technology-driven interventions targeting functional outcomes beyond traditional clinical scales. Scientific Awards: None mentioned. Dr. Minor is recruiting a new graduate student for Fall 2026 and currently leads a KL2-funded grant project developing portable technology interventions for chronic psychosis through multidisciplinary collaborations. His advising emphasizes real-world intervention development and multi-method psychosis research. He directs the CLASP laboratory, which employs multi-method approaches (subjective, objective, biological markers) to study psychosis across illness stages. Current initiatives include real-world stressor monitoring and technology-adapted interventions, with national collaborations expanding the lab's impact on clinical practice.

Ali Abdollahzadehمشاهده پروفایل

پژوهشگر ارشد

• Medical Image Analysis
• Biophysics
• Diffusion MRI
• +۶ مورد دیگر

Ali Abdollahzadeh is an Academy Research Fellow at the A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, within the Faculty of Health Sciences. His research focuses on medical image analysis and biophysics, particularly in neuroimaging techniques like diffusion MRI and electron microscopy. He develops advanced computational tools for analyzing white matter ultrastructures and neurovascular interactions. Key projects include studying the role of meningeal lymphatics in neuroinflammation and migraine mechanisms, as well as creating open-source software like SproutAngio and gACSON for bioimage informatics. His work bridges biophysics, computational neuroscience, and clinical applications. Recent studies explore axonal remodeling under stress, neurovascular dynamics, and deep learning applications in neurological disease analysis. He collaborates with the Computational Neuroanatomy Lab and Multiscale Imaging Group, advancing interdisciplinary research in brain imaging and neurodegenerative disorders. Publications highlight innovations in segmentation algorithms, 3D imaging techniques, and translational studies linking microscopic findings to clinical outcomes. His research aims to enhance understanding of CNS structure-function relationships and improve diagnostic tools through advanced imaging methodologies.

James Barberمشاهده پروفایل

استاد

• Photosynthesis
• Artificial Photosynthesis
• Biochemistry
• +۳ مورد دیگر

James Barber was the Ernst Chain Professor of Biochemistry at Imperial College London, serving as Head of the Department of Biochemistry (1989–1999) and Director of the Centre for Photomolecular Sciences. His research focused on photosynthesis, particularly the structural and functional mechanisms of Photosystem II (PSII), culminating in the first atomic structure determination of the oxygen-evolving complex. He held visiting professorships at institutions like Nanyang Technological University (Singapore) and Politecnico di Torino (Italy), advancing artificial photosynthesis research for solar fuel production. Education: B.Sc. (Wales), M.Sc. & Ph.D. (University of East Anglia), postdoctoral fellowships at Leiden University. Awards include Royal Society Fellowship, Flintoff Medal, and Italgas Prize. Key contributions include elucidating water-splitting mechanisms in PSII and pioneering biomimetic solar energy solutions. Publications (600+ papers, H-index 72) and lectures span international venues, emphasizing solar fuels and interdisciplinary approaches. Notable collaborations include development of Cu-Mo sulfide catalysts and hematite-based photoanodes for hydrogen production.

Bo Tanمشاهده پروفایل

دانشیار

• Wireless Communications
• Signal Processing
• Machine Learning
• +۷ مورد دیگر

Bo Tan is an Associate Professor in Communications Engineering and Signal Processing at the Department of Electronic and Electrical Engineering, University College London (UCL). He previously held positions as Associate and Assistant Professor at Tampere University, Finland, where he retains a Docent title. His research focuses on radio signal processing, wireless communications, integrated sensing and communication (ISAC), machine learning applications in healthcare, and radar systems. He has coordinated major projects such as ANCHOR (Horizon Europe MSCA Doctoral Networks) and SPHERE-DNA (Finland Research Council), and serves as an Associate Editor for IEEE Wireless Communications Letters. Education: PhD in Engineering, University of Edinburgh (United Kingdom) Postdoctoral Researcher roles at: University College London (Computer Science & Electronic Engineering) University of Bristol (Electrical and Electronic Engineering) Research Interests: Wireless communication systems (5G/6G, THz, mmWave) Radar-communication integration and dual-functional systems Machine learning for signal processing and healthcare Integrated sensing and communication (ISAC) architectures Non-invasive healthcare monitoring via passive sensing Key Projects (2021–2025): ANCHOR (2025–2029): Research Coordination Committee lead SPHERE-DNA (2021–2024): PI focusing on federated learning for eHealth ACCESS (2021–2025): PI on wireless network security DIOR (2022–2027): Coordinator for H2020 MSCA Professional Roles: Vice Chair, IEEE Finland AP/ED/MTT Chapter Reviewer for IEEE/ACM/IET journals Labs/Teams: Leading the SPHERE-DNA initiative on privacy-preserving healthcare systems Active contributor to the IEEE's wireless communication standards

Michael Nippaمشاهده پروفایل

استاد

• Strategic Management
• International Management
• Technology Assessment and Sustainability
• +۳ مورد دیگر

Michael Nippa is a tenured full professor at the Free University of Bozen-Bolzano's Faculty of Economics and Management. He previously held the Chair of Management, Leadership, and Human Resources at Technische Universität Bergakademie Freiberg (until 2014). His research focuses on strategic management, international business, sustainability, leadership, and innovation management. He co-founded and currently serves as Managing Director of a management consulting firm. Key research interests include corporate governance, international joint ventures, digital transformation leadership, and climate neutrality strategies. He teaches courses like Advanced Strategic Management and Introduction to Management in both German and English. His work bridges academic research with practical business challenges, emphasizing interdisciplinary approaches to organizational efficiency and innovation. Recent publications highlight trends in sustainable materials engineering for green electronics, digital transformation leadership competencies, and climate strategy adoption barriers. His articles frequently address societal acceptance of energy policies and the behavioral dimensions of organizational restructuring. While no formal awards are listed, his extensive publication record and consulting expertise demonstrate significant contributions to business strategy and management practice. He actively engages in advising firms on reorganization strategies and virtual R&D team management.

Weihong Linمشاهده پروفایل

استاد

• Neurobiology
• Chemical Sensory Systems
• Olfactory Physiology
• +۳ مورد دیگر

Weihong Lin is a Professor in the Department of Biological Sciences at the University of Maryland, Baltimore County (UMBC). His research focuses on the neurobiological mechanisms underlying chemical sensory systems, particularly olfactory functions and their modulation in response to environmental challenges such as electronic cigarette exposure. He holds a Ph.D. from Colorado State University and has conducted postdoctoral research at the University of Colorado Health Sciences Center and Colorado State University. Education : Ph.D., Colorado State University, 1999 Postdoc, University of Colorado Health Sciences Center, 2003 Postdoc, Colorado State University, 2000 M.S., Zhongshan University, 1988 B.S., Zhongshan University, 1982 Research Interests : Dr. Lin's lab investigates sensory detection mechanisms in the nose, including odor-evoked responses, modulatory networks maintaining olfactory function, and the impact of chemical exposures (e.g., electronic cigarette constituents) on sensory systems. Techniques include transgenic mouse models, electrophysiology, calcium imaging, and behavioral assays. Recent Work Trends : Recent studies emphasize e-cigarette-induced olfactory dysfunction, TRPM5-expressing microvillous cell roles in epithelial homeostasis, and neurotrophin regulation under chemical stress. Research bridges molecular mechanisms with behavioral outcomes in mice. Teaching : Courses include Neurobiology (BIOL 451/651), Cell Biology (BIOL 303), and specialized topics like Chemical Communication and Brain Disorders (BIOL 490/690). Labs/Teams : Directs the Weihong Lin Lab, focusing on olfactory neurobiology and environmental health impacts. Collaborates with institutions like Colorado State University and the University of Colorado on sensory systems research.

Richard Sparlingمشاهده پروفایل

استاد

• Anaerobic Bacteria Metabolism
• Bioremediation
• Biofuel Production
• +۳ مورد دیگر

Richard Sparling is a Professor in the Department of Microbiology at the University of Manitoba's Faculty of Science. His research focuses on the metabolism of industrially relevant anaerobic bacteria, with a particular emphasis on bioremediation, biofuel production, and microbial physiology. He also teaches courses in microbial physiology and metabolism. His work spans environmental biotechnology, including studies on microbial consortia in water treatment systems, anaerobic digestion processes, and the bioremediation of soil contaminants such as chlorate and chromium. Sparling has extensively investigated Clostridium species and their roles in cellulose fermentation, metabolic pathway optimization, and genetic adaptation to varying carbon sources. Notable projects include analyzing the effects of seasonal variations on biologically active water filters, optimizing carbon monoxide bioconversion, and studying the impact of manure treatments on antimicrobial resistance genes. His research often integrates genomic and proteomic approaches to understand microbial behavior in industrial and environmental contexts. Dr. Sparling's articles highlight trends in anaerobic microbiology, bioprocess optimization, and environmental engineering. He has contributed to advancements in landfill bio-cover design for methane mitigation and the development of semi-continuous non-sterile bioproduction systems for biodegradable polymers.

Umar Razaمشاهده پروفایل

مدرس ارشد

• Internet of Things
• Machine Learning
• Wireless Sensor Networks
• +۹ مورد دیگر

Dr. Umar Raza serves as a Senior Lecturer in Networking, IoT and Smart Systems at Manchester Metropolitan University's Department of Engineering, where he concurrently manages the Cisco Network Academy. His academic career includes prior lecturing roles in Robotics and Computing at Staffordshire University, with research spanning industrial applications of emerging technologies. His educational credentials include a PhD in Wireless Sensor Networks from the University of Bradford (2014), Postgraduate Certificates in Research Methods and Professional Higher Education from Staffordshire University (2005, 2007), an MSc in Electronics and Computer Systems from Huddersfield University (1995), and a BSc in Engineering Electronics from DeMontfort University Leicester. Dr. Raza's research centers on Internet of Things applications integrated with Machine Learning across industrial, agricultural, and healthcare domains. Current projects address IoT/ML solutions for domicile care monitoring, cognitive impairment assistance, natural disaster early warning systems, and smart farming in Pakistan, with emphasis on practical implementations in real-world environments. His recent publications demonstrate a pronounced interdisciplinary trajectory, particularly at the IoT-Machine Learning nexus for healthcare innovation (cardiac diagnostics, autism support wearables) and agricultural technology. Significant contributions also appear in blockchain scalability, vehicular network security, and 5G propagation modeling, reflecting both theoretical rigor and industry-relevant problem solving. Professional recognition includes: Fellow of the Higher Education Academy (FHEA) Dr. Raza actively supervises two MSc and two PhD candidates while leading multiple funded projects: Principal Investigator for KTP projects with Kindus Solutions (completed) and Trumeter Ltd Project Advisor for KTP with RAIT Ltd Lead researcher on NATO Science for Peace Security grant for natural disaster warning systems Principal Investigator for Ignite National Technology Fund smart farming initiative in Pakistan As Cisco Network Academy Manager, he drives industry-academia collaboration in networking education, developing curricula that integrate cutting-edge IoT and cybersecurity concepts while maintaining strong professional engagement through IEEE, IET, and BCS memberships.

• Biomedical Ultrasonics
• Opto-acoustics
• Physical Acoustics
• +۳ مورد دیگر

Dr. Joel Mobley is a Professor in the Department of Physics and Astronomy at the University of Mississippi and a Senior Scientist II at the Jamie Whitten National Center for Physical Acoustics. He specializes in biomedical ultrasonics, opto-acoustics, and physical acoustics, with a focus on applications in medical imaging, material characterization, and nuclear storage systems. Education: B.S. (Physics, University of Kentucky, 1989), M.A. (Physics, Washington University in St. Louis, 1991), Ph.D. (Physics, Washington University in St. Louis, 1996). Postdoctoral and research roles include Oak Ridge National Laboratory (1997-2004) and the U.S. Army Research Laboratory (2004-2005). Research Interests: Dr. Mobley’s work spans ultrasonic beamforming in biomedical contexts, acoustic lens design, nuclear cask structural integrity analysis, and microsphere-based metamaterials. His recent projects include droplet manipulation via acoustic tweezers, vibration-based monitoring of nuclear storage systems, and multiphase fluid dynamics. Teaching: Courses include Physics for Engineering, Optics, Biophysics, and Acoustics. He actively contributes to the development of graduate programs in physical acoustics. Lab/Affiliations: Primary affiliations include the National Center for Physical Acoustics (NCPA) and the University of Mississippi’s Department of Physics and Astronomy. His research integrates interdisciplinary approaches across physics, engineering, and environmental science.

Claus E. Andersenمشاهده پروفایل

پژوهشگر

• Radiation Dosimetry
• Medical Physics
• Radiotherapy
• +۳ مورد دیگر

Claus E. Andersen is a Senior Researcher in the Department of Health Technology, specializing in Medical Dosimetry at the Technical University of Denmark (DTU). His work focuses on radiation dosimetry, radiotherapy techniques, and advanced applications such as FLASH therapy and proton beam treatments. Key areas of research include the biological effects of radiation, dosimetry in magnetic resonance-linear accelerators (MR-Linacs), and standardization of radiation measurements through collaborations with organizations like the IAEA. Andersen’s contributions span experimental validation of treatment modalities, optimization of dosimetry systems, and reducing normal tissue toxicity in cancer therapies. His research interests are centered on improving radiation therapy precision, particularly through innovations in dosimetry for complex treatment environments such as MR-guided systems and proton therapy. He has published extensively on topics like FLASH radiotherapy, scintillator-based dosimetry, and the impact of magnetic fields on radiation measurements. Andersen’s work often involves interdisciplinary collaboration, addressing challenges in clinical implementation of cutting-edge radiation techniques. His projects frequently involve preclinical models to evaluate treatment efficacy and safety, with a focus on translating laboratory findings into clinical practice.

• Microwave Semiconductor Device Modeling
• RF Modeling
• Electromagnetic Simulation
• +۳ مورد دیگر

Peter H. Aaen is a Reader in Microwave Semiconductor Device Modeling at the University of Surrey, with expertise in RF and microwave device modeling and characterization. His work focuses on developing advanced methodologies for high-power and high-frequency electronic devices, with applications in telecommunications and quantum technologies. Dr. Aaen received his B.A.Sc. in Engineering Science and M.A.Sc. in Electrical Engineering from the University of Toronto, Canada, and his Ph.D. in Electrical Engineering from Arizona State University, USA, in 1995, 1997, and 2005 respectively. Prior to joining the University of Surrey, he was the manager of the RF Modeling and Measurement Technology team at Freescale Semiconductor Inc (formerly Motorola Inc.), bringing significant industry experience to his academic work. Dr. Aaen's research spans several critical areas in microwave engineering, with a particular emphasis on developing multi-physics based modeling methodologies for high-power and high-frequency electronic devices. His expertise includes calibration techniques for microwave measurements, package modeling, development of compact models for microwave power transistors and RFICs, and efficient electromagnetic simulation methodologies for complex packaged environments. He has made significant contributions to understanding frequency dispersion in RF LDMOS transistors, electro-thermal modeling, and the development of measurement techniques for extreme impedance devices. His publication record demonstrates a clear progression from fundamental device modeling to advanced measurement techniques and applications in next-generation communications systems. Recent work has focused on multiphysics measurements, electro-optic field imaging, and the application of nanowire technologies to microwave switches, reflecting the evolving challenges in 5G and beyond communications infrastructure. Dr. Aaen is a Senior Member of the IEEE and active in several technical committees including the IEEE Technical Committee (MTT-1) on Computer-Aided Design, the technical program committee of the IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS), and the executive committee of the Automatic RF Techniques Group (ARFTG). Dr. Aaen has supervised numerous PhD students whose research has advanced the field of microwave engineering, particularly in areas related to measurement uncertainty, multiphysics characterization of high-power transistors, and nanoscale device integration. His collaborative work spans multiple institutions and has resulted in significant advancements in understanding device behavior under complex operating conditions. His laboratory work focuses on developing novel measurement techniques that combine electro-optic systems with nonlinear vector network analyzers and load-pull measurement systems, enabling unprecedented visualization of electromagnetic field distributions within operating transistors. This work has led to breakthroughs in understanding oscillation mechanisms and thermal behavior in high-power devices.

Armin Iskeمشاهده پروفایل

استاد

• Numerical Approximation
• Applied Mathematics
• Kernel Methods
• +۴ مورد دیگر

Prof. Dr. Armin Iske is a Full Professor of Numerical Approximation at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. He holds a PhD from the University of Göttingen (1994) and habilitation from TU Munich (2002). His research focuses on numerical approximation, kernel-based methods, computational fluid dynamics, and medical imaging. He has held academic positions globally, including visiting roles at ANU (Australia) and the University of Leicester (UK). Research interests include scattered data approximation, adaptive particle methods for flow simulation, and high-dimensional data analysis. He has authored 118+ publications, including works on kernel interpolation, medical imaging reconstruction, and machine learning applications. He serves on editorial boards for journals like Advances in Computational Mathematics and Sampling Theory . His contributions span interdisciplinary projects, such as SFB/TRR 181 on energy transfer in atmosphere and ocean, and collaborations in nanotechnology for brain interfaces. His work bridges theoretical mathematics with practical applications in engineering and biosciences.

• Power Electronics
• Wireless Power Transfer
• Electric Vehicle Technology
• +۴ مورد دیگر

Nikolay Dimitrov Madzharov is a Professor at the Department of Electronics, Faculty of Electrical Engineering and Electronics, Technical University of Gabrovo. His work focuses on power electronics, wireless power transfer systems, and electric vehicle charging infrastructure. He has led and participated in numerous international and national projects, including modernization of educational institutions and development of energy-efficient systems. Research Interests: Wireless power transfer, inductive resonance systems, electric vehicle technology, energy storage systems, and control systems in energy. Projects: Over 7 projects, including 'Optimal Design and Management of Electrical Energy Storage Systems' and 'Intelligent Mechatronic, Eco- and Energy-Saving Systems and Technologies.' His research emphasizes practical applications, such as contactless charging stations and high-efficiency energy converters. Madzharov has authored 4 books and over 96 publications, including journal articles and conference papers on topics like resonant inverters and battery management systems. He has advised 6 doctoral students, contributing to advancements in power electronics and energy systems. His work has been presented at international conferences such as PCIM, ICEST, and SIELA, showcasing innovations in wireless energy transfer and system reliability.

• Chemosensory Detection
• Smell
• Taste
• +۸ مورد دیگر

Joel Butterwick is an Assistant Professor in the Department of Pharmacology at Yale School of Medicine. He joined Yale in 2020 after postdoctoral training at The Rockefeller University. Undergraduate: University of Alberta (Biochemistry, 1999) PhD: Columbia University (Biochemistry & Molecular Biophysics, 2006) Postdoctoral: The Rockefeller University (2014-2020) His research focuses on chemosensory detection mechanisms in insects, utilizing cryo-electron microscopy and electrophysiology to study smell and taste receptors. Current work investigates elementary principles of receptor-ligand interactions and sensory transduction. Research output spans structural biology of ion channels, enzyme dynamics analysis, and RNA-protein interaction studies. Notable awards include the Whitehall Foundation Research Grant (2022). Lab: Sterling Hall of Medicine, B-Wing Email: joel.butterwick@yale.edu Administrative contact: Margaret McDonald (203.737.7727)