جست‌وجوی استاد و پژوهشگر

Mohammadkazem Taramمشاهده پروفایل

استادیار

• Computer Architecture
• Computer Security
• Microarchitectural Attacks
• +۴ مورد دیگر

Mohammadkazem Taram is an Assistant Professor in the Department of Computer Science at Purdue University, joining in Fall 2022. He holds a PhD from the University of California San Diego (UCSD), completed in 2022. His research focuses on computer architecture and computer security, particularly microarchitectural attacks, performance mitigations, and security-enhanced hardware design. He has been awarded the ACM SIGMICRO Dissertation Award for his doctoral work and has received several best paper awards for his publications in top-tier conferences like ASPLOS and ISCA. His research interests include hardware security vulnerabilities, secure execution environments, and optimizing performance-security trade-offs. Notable contributions include work on Extended User Interrupts (xUI) , Pathfinder control-flow attacks, and Hardware-Assisted Fault Isolation (HFI) . He actively collaborates with industry and academia, evidenced by his roles in developing novel mitigation techniques against speculative execution and side-channel attacks. Teaching: CS-426 (Computer Security), CS-593 (Microarchitecture Security), and CS-593 (Principles in Computer Architecture) at Purdue. Students: Advises Milad Esrafilian Najafabadi, Berk Aydogmus, and others, with co-advisory roles on Qi Ling and Gustavo Franco Camilo. Labs/Teams: Leads a research group focusing on hardware security and architecture, with a focus on practical and scalable defenses. Publications span top venues like ASPLOS, ISCA, and USENIX Security, with artifacts and open-source contributions. His work emphasizes bridging the gap between theoretical security concepts and real-world hardware implementations.

• Computer Arithmetic
• Computer Architecture
• Domain-Specific Accelerators
• +۳ مورد دیگر

David Mallasén Quintana is a Postdoctoral Researcher in Computer Engineering at the Embedded Systems Laboratory (ESL) of École Polytechnique Fédérale de Lausanne (EPFL). He completed his Ph.D. in Computer Engineering at Universidad Complutense de Madrid (UCM) in 2024. His research focuses on computer arithmetic, domain-specific accelerators, and RISC-V core customization, with a strong emphasis on energy-efficient and high-performance computing solutions. Key research contributions include the development of the PERCIVAL open-source RISC-V core integrating Posit and Quire arithmetic, energy-efficient MAC units, and the LiveChess2FEN framework for chessboard digitization using CNNs optimized for the Jetson Nano platform. His work bridges hardware design, algorithm optimization, and embedded systems applications. Publications highlight advancements in Posit arithmetic implementation, low-cost approximate computing units, and RISC-V architecture extensions. Current projects explore scientific computing applications of 64-bit Posit arithmetic and energy-efficient wearables through precision optimization. Lead developer of PERCIVAL RISC-V core Co-developer of LiveChess2FEN framework Contributor to IEEE Transactions on Computers and Emerging Topics in Computing

Alexander Masonمشاهده پروفایل

پژوهشگر ارشد

• Synthetic Biology
• Self-Assembly
• Polymer Chemistry
• +۳ مورد دیگر

Alexander Mason is a DECRA Fellow at the University of Wollongong, leading the Synthetic Biomimetic Compartments research group. His work focuses on bottom-up synthetic cell design, integrating polymer chemistry, membrane engineering, and open-source hardware solutions like the DIB-BOT droplet interface bilayer robot. Mason holds a PhD and BSc in Nanotechnology from UNSW Sydney, with postdoctoral experience at Eindhoven University of Technology and UNSW. Educations: PhD in Chemistry, UNSW Sydney, 2017 BSc in Nanotechnology, UNSW Sydney, 2012 His research interests span synthetic cells, biomimetic compartments, and stochasticity in biological systems. Key projects include the DECRA-funded 'Building a synthetic chemical synapse through harnessed stochasticity' (2023–2027), exploring molecular fluctuations' impact on higher-order biological phenomena. Publications emphasize droplet-based systems (e.g., DIB-BOT), polymer vesicle engineering, and synthetic cell applications in tissue engineering. Notable recognition includes the 2023 ASB Best ECR Talk Award for his DIB-BOT work. Current supervision includes PhD projects on synthetic chemical synapses and neural progenitor cell guidance systems. The lab also develops DIY hardware solutions and collaborates on interdisciplinary biomaterials projects.

Stephanie R Jonesمشاهده پروفایل

استاد

• computational neuroscience
• electroencephalography
• magnetoencephalography
• +۵ مورد دیگر

Stephanie R Jones is a Professor of Neuroscience at Brown University, affiliated with the Carney Institute for Brain Science. Her research integrates human brain imaging and computational neuroscience methods to study brain dynamics in health and disease. She works closely with animal neurophysiologists and clinicians to develop data-constrained neural models that are functionally and translationally relevant. Dr. Jones' primary research interests include: Computational neuroscience approaches to understanding brain function Electroencephalography (EEG) and magnetoencephalography (MEG) analysis Neural rhythms and their role in cognitive processes Transcranial magnetic stimulation (TMS) and other brain stimulation techniques Biophysically principled models of neural circuits Her work focuses on developing models that bridge the gap between human brain imaging signals (MEG/EEG) and their underlying cellular and network level generators. Current projects apply interdisciplinary techniques to study neural dynamics in healthy functions such as perception, attention, and decision making, as well as in neural pathologies including depression, autism spectrum disorders, aging, Alzheimer's, and schizophrenia. She also investigates the impact of brain stimulation and mind-body practices on brain dynamics with the goal of improving treatments for neuropathology. Dr. Jones has received numerous awards and honors throughout her career, including: Claflin Distinguished Scholar Award, Massachusetts General Hospital (2008-2010) Harvard Catalyst Advanced Imaging Award, Harvard Medical School (2012-2013) New Frontiers Fund Awards from the Brown Institute for Brain Science Brown University DEAN's Emerging Areas of New Science Award Invited Panel Advisor for NIH and NSF sponsored "BRAIN" Initiative Workshops As an advisor and collaborator, Dr. Jones works with a diverse team of researchers across multiple disciplines. Her lab, the Jones Laboratory for Human Electrophysiology and Computational Neuroscience, develops the Human Neocortical Neurosolver (HNN), a software tool for interpreting the cellular and network origin of human MEG/EEG data. She serves as an Associate Editor for the MIT Press Journal Neural Computation and as an NSF/NIH Panel Grant Reviewer for Collaborative Efforts in Computational Neuroscience. The Jones Lab bridges experimental and theoretical techniques to study human brain dynamics, with a mission to develop biophysically principled models of neural circuits that connect electrophysiological measures of brain function to underlying cellular and network dynamics. The lab collects MEG/EEG data non-invasively in humans and collaborates closely with animal electrophysiologists and clinicians to develop translationally relevant models.

Hongseok Choiمشاهده پروفایل

دانشیار

• Solidification Nanoprocessing
• Micro/Nano Sensors
• Ultrasonic Joining
• +۴ مورد دیگر

Dr. Hongseok Choi is an Associate Professor in the Department of Mechanical Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. His research focuses on solidification nanoprocessing, micro/nano sensors, ultrasonic joining, laser materials processing, and additive manufacturing. Ph.D., University of Wisconsin-Madison (2007) M.S., University of Wisconsin-Madison (2002) B.S., Yeungnam University, South Korea (1997) Dr. Choi’s work advances scalable nanomanufacturing of bulk nano-engineered materials for high-performance applications. He develops smart micro/nanosystems, laser-based materials processing, and additive manufacturing techniques. His research has resulted in 32 refereed journal articles, 28 peer-reviewed conference proceedings, 2 patents, and 7 invention disclosures. Recent publications highlight innovations in friction element welding, nanoconfinement effects in polymers, ultrasonic-assisted soldering, and microstructural control in metal matrix nanocomposites. His research spans thermal analysis, chip formation, and acoustic monitoring in advanced manufacturing processes. Dr. Choi serves as a reviewer for multiple journals including the Journal of Manufacturing Processes and IEEE Transactions on Automation Science and Engineering. He is a member of ASME, SME, and TMS professional societies.

Jesus Salidoمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Image Processing
• +۴ مورد دیگر

Jesus Salido is a Professor at the University of Castilla-La Mancha's School of Computer Science, affiliated with the Department of Systems Engineering and Automation (ISA). He holds a PhD in Industrial Engineering (Robotics and AI) from Universidad Politécnica de Madrid (UPM) and completed a PostDoc at Carnegie Mellon University's Robotics Institute in Pittsburgh, USA. Education: PhD in Industrial Engineering (Robotics and AI), Universidad Politécnica de Madrid (UPM) PostDoc at AML – The Robotics Institute, Carnegie Mellon University Research Interests: Focuses on Robotics, Artificial Intelligence, Medical Imaging, Computer Vision, and Educational Technology . His work includes developing low-cost microscopy systems (e.g., MicroHikari3D), AI-driven pathology tools, and educational resources in digital logic design using Logisim. He leads the VISILAB-UCLM research group, emphasizing Open Science and accessibility in technology. Key Projects: Eyes of Things (EOT): Smart sensor networks for environmental monitoring AIDPATH: Collaboration between academia and industry in digital pathology Bonseyes: Marketplace for edge device collaboration Publications & Contributions: Authored textbooks like Learning Image Processing with OpenCV and Lógica Digital y Tecnología de Computadores . Over 50 peer-reviewed articles on topics ranging from deep learning applications to automated microscopy systems. Actively contributes to open-source educational repositories on GitHub. Teaching: Teaches courses in Computer Technology, VLSI Design, and Artificial Intelligence at the undergraduate and master’s levels. Leads personalized tutoring initiatives to enhance student success and critical thinking.

Wes Bethelمشاهده پروفایل

دانشیار

• Quantum Computing
• Machine Learning
• Scientific Computing
• +۴ مورد دیگر

Wes Bethel is an Associate Professor in the Department of Computer Science at San Francisco State University. His research focuses on quantum computing, machine learning applications in scientific modeling, and high-performance computing frameworks such as the SENSEI in situ visualization system. He leads efforts in optimizing quantum algorithms, real-time fusion energy modeling, and scalable data processing for large-scale simulations. Key research themes include quantum protocols for polynomial computation, GPU-based quantum circuit simulation, and machine learning-driven approaches to plasma physics and radio frequency (RF) heating analysis. His work bridges theoretical advancements with practical implementations in energy science and computational infrastructure. Recent projects emphasize accelerating RF modeling using AI surrogates, improving in situ visualization frameworks for heterogeneous architectures, and addressing challenges in classical-quantum system integration. Contributions span both methodological innovations and applied solutions for fusion energy research and distributed computing environments. No scientific awards are listed in the provided materials. Advising and grants information is not explicitly detailed here, though his publications indicate collaborative involvement in DOE-funded projects and fusion energy initiatives. He contributes to open-source tools like SENSEI and WarpVisIt, supporting community-driven advancements in scientific computing. Research labs and teams associated with his work likely include computational science groups focused on quantum computing, plasma physics modeling, and high-performance data management at San Francisco State University and collaborating institutions.

• Software and systems engineering
• Empirical studies
• Software quality
• +۳ مورد دیگر

Stefan Wagner is a Professor at the Institute of Software Engineering (ISTE) and leads the Empirical Software Engineering Group at University of Stuttgart , Germany. His research focuses on software and systems engineering with emphasis on empirical studies , software quality , human aspects in software engineering , automotive software , and software engineering for AI-based systems . Research Trends : Recent publications highlight his work in automotive software architecture centralization (2023) mutation testing in industrial contexts (2022) GitHub communication channel analysis (2022) microservices/DevOps adoption in cyber-physical systems (2022) code security feedback systems (2022) empirical studies of agile team leadership (2021) automated security requirements in CPS (2021) Methodological Contributions : He has developed scenario-based evolvability analysis methods, empirical frameworks for citation drivers in SE, and systematic mapping approaches for AI-based system engineering challenges and automotive security countermeasures.

Jamie A Wardمشاهده پروفایل

استاد

• Wearable Computing
• Social Neuroscience
• Theatre and Performance Studies
• +۵ مورد دیگر

Professor Jamie A Ward is Head of the School of Computing at Goldsmiths, University of London, and holds a Professorship in Computer Science. His research bridges wearable computing, social neuroscience, and theatre studies, focusing on understanding social interaction through body-worn sensors. He earned a PhD from ETH Zurich (2006) and a joint BEng in Computer Science/Electrical Engineering from the University of Edinburgh (2000), alongside a National Certificate in Professional Acting (2011). His work combines interdisciplinary methods such as: Using motion capture and physiological sensors to study autism and live performance Developing open-source wearable hardware like the Synchronisation Wand Collaborations with UCL Institute of Cognitive Neuroscience, Keio University, and DFKI Current projects include the 5-year ERC-funded Neurolive (live performance neuroscience) and SocSensors (wearable support for autistic children). Grants & Awards: ERC Grants (Neurolive/SocSensors) Marie Curie Fellowship (2006-2010) General Chair: Augmented Humans 2023 Key contributions include: Real-time physiology integration into music performances Sensor systems for measuring audience-actor synchrony Designing wearable tech for autism research He leads the Computing department and maintains visiting roles at UCL and Keio University.

Arti Ahluwaliaمشاهده پروفایل

استاد

• In-vitro models
• Biomaterials
• Tissue Engineering
• +۳ مورد دیگر

Arti Ahluwalia is Professor of Bioengineering at the University of Pisa's School of Engineering, affiliated with the Research Center 'E. Piaggio' and serving as Director of the Interuniversity Center for the Promotion of the 3Rs Principles in Teaching and Research (Centro 3R). With a multidisciplinary background spanning physics, instrumentation science, and bioengineering, her research integrates biomaterials, microfabrication, and computational modeling. Research focuses on human-based organ and system models using soft materials, cell derivatives, and intelligent bioreactor design. Current projects include: in-vitro models of metabolic disease/aging, nanotoxicology, advanced imaging, and open biomedical engineering education. Her work has produced commercialized multicompartment bioreactors through spin-off companies Kirkstall Ltd and IVTech srl. Recent publications demonstrate strong emphasis on open-source medical devices, 3Rs principles implementation, and computational platforms for nanotoxicology and cellular construct design. Key themes include regulatory frameworks for open-source medical technology, diagnostic tools for resource-limited settings, and ethical alternatives to animal testing. Teaching encompasses Biomechanics of Tissues, Micro & Nanobioscopy, and Design Principles for Bionics Engineering across undergraduate and graduate biomedical engineering programs.

Dennis Kätzelمشاهده پروفایل

استاد

• Neuroscience
• Psychiatry
• Schizophrenia Research
• +۶ مورد دیگر

Prof. Dennis Kätzel is a Professor at the University of Ulm's Faculty of Medicine, leading the Kätzel Lab within the Department of Applied Physiology. His research focuses on unraveling the neural circuit mechanisms underlying schizophrenia, with particular emphasis on treatment-resistant cognitive and negative symptoms. The lab employs cutting-edge techniques including optogenetic/chemogenetic circuit manipulation, in vivo electrophysiology, miniscope imaging, and machine learning-based analysis of neural data. His primary research interests span neural circuit dysfunction in schizophrenia , aberrant salience attribution , cognitive deficits (working memory, attention, cognitive flexibility), and translational drug discovery . Key methodologies include multi-site LFP recordings during behavioral tasks, transgenic schizophrenia models, and behavioral pharmacology. The lab has pioneered open-source neuroscience tools such as the Open-MAC commutator and 5-choice operant box systems. Analysis of his 15 most recent publications (2021-2024) reveals a concentrated focus on anterior cingulate cortex and hippocampal circuit mechanisms in schizophrenia-related behaviors. His work consistently bridges molecular interventions (e.g., G-protein signaling modulation) with circuit-level electrophysiological outcomes and behavioral phenotypes, establishing causal links between specific neural mechanisms and symptom domains. A distinctive trend is the development and application of open-source hardware/software solutions to advance preclinical neuroscience methodology. Prof. Kätzel mentors PhD students including Sampath Kapanaiah, Lukas Bühner, and Sophie Lammerich, who contribute to projects involving neural circuit analysis, behavioral testing, and tool development. His lab actively provides public scientific resources through GitHub and Labmaker, including MATLAB scripts for connectivity analysis, hardware design files, and experimental protocols. The Kätzel Lab operates as a translational neuroscience hub within Ulm's Institute of Applied Physiology, maintaining strong collaborations with psychiatric clinicians and pharmacologists. Current work focuses on identifying circuit-level drug targets and developing biomarkers for predicting clinical efficacy of novel schizophrenia therapeutics, with particular attention to cognitive symptom domains lacking effective treatments.

Wayne Garciaمشاهده پروفایل

مدرس ارشد

• Political Journalism
• Investigative Reporting
• Media and Society
• +۱ مورد دیگر

Wayne Garcia is a Senior Instructor at USF's Zimmerman School of Advertising & Mass Communications with 30+ years of journalism and political communication experience. His teaching focuses on media and society, podcasting, and reporting fundamentals. Education includes: MA, University of South Florida BS in Journalism, University of Florida As Executive Director of the Florida Scholastic Press Association, he supports high school journalism programs statewide. Professional honors include Sunshine State Awards for political reporting and ACLU recognition for investigative journalism. His teaching emphasizes hands-on skills development and civic engagement. Courses taught include Media and Society, Radio/Podcasting production, Beginning Reporting, and Writing for Mass Media. He maintains professional engagement through political commentary on public television and community radio.

Michael K. Baneمشاهده پروفایل

مدرس ارشد

• Green Software Engineering
• High Performance Computing (HPC)
• Energy Efficiency in Computing
• +۳ مورد دیگر

Dr. Michael K. Bane is a Senior Lecturer in Green Software Engineering & Performance Computing at Manchester Metropolitan University , within the Department of Computing & Mathematics, Faculty of Science and Engineering. A Senior Fellow of the Higher Education Academy (HEA) and founder of GreenCompute.UK , he leads the university's Greener Compute Club and the £120K UKRI Net Zero project "ENERGETIC" on heterogeneous computing for carbon reduction. Current teaching: Unit Lead for High Performance Computing & Big Data (UG/MSc) and Green Software Engineering modules Previous roles: University of Liverpool lecturer, UKRI Hartree Centre research scientist, and University of Manchester HPC team leader Research focuses on Energy Efficient Performant Computing (EEPC), exploring: Heterogeneous architectures (FPGA/GPU/accelerator integration) Carbon-aware scheduling systems Quantifying ICT's environmental footprint Green AI development Emerging hardware-software synergies Key contributions: Co-edited Introduction to Aerosol Modelling: From Theory to Code (2022) Authored 20+ publications on HPC, parallel algorithms, and sustainable computing Recipient of EMS 'best paper' award for climate modeling work

Brian Stillمشاهده پروفایل

استاد

• User-Centered Design
• Technical Communication
• Eye Tracking Technology
• +۳ مورد دیگر

Brian Still is a Professor in the Department of English at Texas Tech University, where he also serves as Vice Provost for Texas Tech Online. He previously held roles as Interim Dean of the College of Arts and Sciences and Chair of the Department of English. Dr. Still holds a PhD in English from the University of South Dakota (2005), an MA in English (1993), and an AB in English & Philosophy (1990). His research bridges technical communication, user-centered design, and cognitive science, with emphasis on eye-tracking technology and usability studies. As co-founder of EyeGuide Inc., he pioneered innovations in medical diagnostics and assistive technologies, resulting in FDA-cleared devices and multiple patents. Dr. Still's publications explore interdisciplinary approaches to human-computer interaction, including cognitive function testing frameworks and open-source collaboration models. His work demonstrates consistent focus on translating technical innovations into accessible user experiences. Awards include election to the National Academy of Inventors (2018), the President's Technology Commercialization Award (2015), and the IEEE Emily K. Schlesinger Award (2009). He directs initiatives integrating academic research with industry applications, including workforce training programs and technology commercialization partnerships with organizations like Google and IBM.

Kurt Rohloffمشاهده پروفایل

دانشیار

• Cybersecurity
• Homomorphic Encryption
• Lattice-Based Cryptography
• +۵ مورد دیگر

Prof. Kurt Rohloff is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). He serves as the founding director of the NJIT Cybersecurity Research Center, focusing on advanced cryptographic techniques such as homomorphic encryption, lattice-based cryptography, and secure computing. With a background in electrical engineering from the University of Michigan (Ph.D., 2004) and Georgia Tech (B.E., 1999), his career includes prior roles as a DARPA Program Investigator in industry before joining academia. His research emphasizes practical implementations of privacy-preserving technologies, including open-source libraries like PALISADE and OpenFHE , which enable secure computation on encrypted data. Key areas of contribution include FPGA-accelerated homomorphic encryption, proxy re-encryption systems, and applications in healthcare, telecommunications, and distributed computing. He has led workshops such as WAHC (Workshop on Encrypted Computing and Applied Homomorphic Cryptography), fostering interdisciplinary collaboration. Rohloff’s work bridges theoretical cryptography with real-world challenges, addressing scalability, performance optimization, and usability of secure computing frameworks. His innovations target use cases like encrypted genome analysis, privacy-preserving AI, and secure data sharing across distributed networks.