جست‌وجوی استاد و پژوهشگر

Robert LeSuerمشاهده پروفایل

دانشیار

• Scientific Instrumentation Design
• Analytical Chemistry
• Maker Movement in Education
• +۳ مورد دیگر

Robert LeSuer is an Associate Professor in the Department of Chemistry & Biochemistry at State University of New York at Brockport. He teaches courses in chemistry laboratory, quantitative chemical analysis, and instrumental methods while exploring innovative teaching methodologies. His educational background includes: B.S. in Chemistry from Juniata College PhD in Analytical Chemistry from The University of Vermont under Bill Geiger Postdoctoral experience at The University of Texas at Austin in Allen Bard's laboratories Dr. LeSuer leads the Bespoke Scientific Instrumentation Design (BSID) research group, focusing on using digital fabrication tools like 3D printing and CNC milling to create more accessible scientific instrumentation. His pedagogical approach emphasizes Process Oriented Guided Inquiry Learning (POGIL) and specifications grading to develop student autonomy and leadership skills. He investigates how building scientific instruments affects students' perceptions of data reliability and validity. Dr. LeSuer is actively involved in the Brockport community through the makerspace 'It Begins in Brockport' (IBiB) and has entered local politics by running for the village board of trustees. His technological interests extend to AI applications, as evidenced by his writings on local chatbots and AI-driven image generation. His professional activities demonstrate a commitment to both academic excellence and community engagement, bridging the gap between advanced scientific instrumentation and accessible educational tools.

Will Andersonمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Medical Biotechnology
• Physical Chemistry
• +۶ مورد دیگر

Dr Will Anderson is a Research Fellow at The University of Queensland , affiliated with the Australian Institute for Bioengineering and Nanotechnology . With over 15 years of R&D experience spanning academia and industry, his work focuses on molecular diagnostics , nanoparticle characterization , and translational device development that bridges fundamental research with real-world applications. His research interests include: Development of low-cost diagnostic technologies like the DIYNAFLUOR open-source DNA fluorometer Advancing nanopore sensing and optical characterization methods Optimizing nucleic acid extraction and quantification workflows Designing point-of-care platforms with fluorescence detection capabilities Exploring research translation , IP strategy , and regulatory frameworks Dr Anderson has contributed to benchtop scientific instrumentation through projects like his patented low-cost nucleic acid extraction methodology and industry-partnered qPCR platform prototype . His nanopore sensing research has >2100 citations and established a UQ facility adopted by dozens of researchers. He actively supports open science initiatives through GitHub repositories and educational programs. He supervises research projects and contributes to collaborative lab environments at UQ's interdisciplinary research institutes, while maintaining an active presence in scientific outreach through social media and STEM education programs.

Luca Fanucciمشاهده پروفایل

استاد

• Integrated Circuit Design
• Embedded Systems
• System-Level Design
• +۷ مورد دیگر

Professor Luca Fanucci is a Full Professor of Electronics at the Department of Information Engineering , University of Pisa. He serves as Rector's Delegate for Inclusion of Students with Disabilities and leads research in integrated circuits, embedded systems, and assistive technologies . Institutional roles include membership in the National University Conference of Delegates for Disability (CNUDD) and leadership in the PhD program in Information Engineering. Born: Montecatini Terme (1965) Education: Laurea in Electronic Engineering (1992), PhD in Information Engineering (1996), University of Pisa Professional Journey: ESA research (1992-1996), CNR researcher (1996-2004), University of Pisa faculty (2004-present) His research focuses on: System-level design of integrated circuits and embedded systems Hardware-software co-design for low power consumption Spacecraft and satellite communication systems Medical devices and telemonitoring platforms Assistive technologies for disabilities Recent publications highlight AI in space applications and telemedicine systems . Key projects include the Ingeniars spin-off for satellite communications and the AsTech National Laboratory for assistive technologies. Scientific Recognition : IEEE Fellow (2019) 40+ patents H-index 34 (5000+ citations) He coordinates international conferences (DATE, HiPEAC, Spacewire) and serves as Associate Editor for Technology and Disability and Microprocessors and Microsystems journals.

• Environmental Science
• Structural Biology
• Open Source Hardware
• +۳ مورد دیگر

Matheus Carvalho de Carvalho is a Researcher in the Research Infrastructure and Operations department at Southern Cross University (SCU). He has been responsible for SCU’s stable isotope laboratory since 2009 and develops open-source hardware for scientific applications, particularly autosamplers. Educational background: MSc and PhD in Fishery Sciences from Kitasato University, Japan. His research focuses on open-source hardware development and laboratory automation, with past interests in algal photosynthesis and respiration. He serves as an editor for HardwareX (Elsevier) and PLOS ONE. His work intersects environmental science, structural biology, and aquatic systems.

• Automation Engineering
• Sustainable Production
• Robotics
• +۳ مورد دیگر

Bengt Lennartson is a Professor of Automation at Chalmers University of Technology and Head of the Department of Systems and Control Engineering. His research focuses on automation engineering, sustainable production, robotics, and energy optimization, with over 280 international publications. Collaborations include industry leaders like Volvo, Daimler, Kuka, and TetraPak. IEEE Fellow for contributions to automation systems Specializes in hybrid/discrete-event systems Develops energy optimization strategies for robotic production lines Recent work explores Plug-and-Produce systems , digital twin calibration , and stochastic energy optimization in robotics. His team integrates AI with formal methods for safety verification and develops open-source educational tools like biomedical exoskeletons. Scientific awards include IEEE Fellowship , with articles addressing energy-efficient robot trajectories, safety-aware multi-agent control, and formal verification of cyber-physical systems.

• Database Systems
• In-Database Machine Learning
• GPU Acceleration for Databases
• +۳ مورد دیگر

Maximilian Schüle serves as Assistant Professor in the Department of Data Engineering at the University of Bamberg's Faculty of Information Systems and Applied Computer Sciences since October 2022. Previously, he held research positions at Technical University of Munich (2017-2022). His research bridges database systems and machine learning through compiler-based approaches. His research focuses on in-database machine learning , GPU-accelerated query processing , and recursive SQL extensions . Key contributions include: Developing MLIR-based compilers for automatic differentiation in SQL (DuoLingo-AutoDiff) Creating GPU code generators for database kernels using NVRTC Designing higher-order lambda functions for expressive query languages Implementing end-to-end neural network training within database engines His recent publications (2023-2025) demonstrate consistent output in top venues including ICDE, VLDB workshops, and BTW conferences, with growing emphasis on hardware-aware optimization and compiler techniques for analytical workloads. He currently leads a DFG-funded project on elastic memory hierarchies for memory-intensive applications (2025-2028), supporting multiple PhD researchers. His supervision emphasizes open-source contributions to database systems like Umbra and practical implementation skills alongside theoretical foundations. As an active member of the database community, he serves as workshop chair for BTW 2025 and regularly reviews for ACM TODS, VLDB Journal, and Information Systems. His work on public transport analytics demonstrates real-world impact through collaborations with urban mobility initiatives in Bamberg.

Scott Feisterمشاهده پروفایل

استادیار

• Scientific Computing
• High-Performance Computing
• Laser-Plasma Physics
• +۴ مورد دیگر

Dr. Scott Feister is an Assistant Professor in the Department of Computer Science at California State University Channel Islands (CSUCI), where he has held a tenure-track position since 2019. His academic journey includes a B.S. in Physics from the University of Notre Dame and M.S./Ph.D. in Physics from The Ohio State University, followed by postdoctoral work at the University of Chicago and UCLA. His research focuses on scientific computing at the intersection of computer science, physics, and engineering. Primary domains include: Control systems infrastructure for high-power laser facilities Machine learning applications in experimental science High-data-rate instrumentation and embedded systems High-performance computing for plasma physics simulations Publication analysis reveals consistent focus on laser-plasma interactions (12 papers), high-performance computing (4 papers), and educational innovation (3 papers), with recent work emphasizing machine learning integration and equity-focused STEM training. He leads multiple grants involving collaborations with: Lawrence Livermore National Laboratory Lawrence Berkeley National Laboratory NVIDIA Ohio State University Argonne National Laboratory Teaching innovations include cloud-based learning environments (AWS, Replit), open-source textbooks, and hardware prototyping. He has developed 12 distinct courses and holds certifications in AWS Cloud, Mental Health First Aid, and equity pedagogy.

Laura Dietzمشاهده پروفایل

دانشیار

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۶ مورد دیگر

Laura Dietz is a tenured Associate Professor in the Department of Computer Science at the University of New Hampshire, where she leads the TREMA lab. Her academic journey began with a PhD from the Max Planck Institute for Informatics in Saarbruecken, Germany (2011), followed by postdoctoral positions at the University of Massachusetts Amherst (2010-2015) and University of Mannheim (2015-2016). Her educational background includes PhD studies at both the Max Planck Institute for Informatics (2007-2011) under Prof. Gerhard Weikum and Prof. Tobias Scheffer, and earlier research at Humboldt University in Berlin. She has built a distinguished career bridging theoretical computer science with practical applications in information retrieval and machine learning. Dietz's research primarily focuses on the intersection of information retrieval, natural language processing, and knowledge graphs, with a parallel research initiative in watershed data science. She is particularly known for her work on entity-aspect linking, complex answer retrieval, and the vision of automatic Wikipedia construction. Her approach integrates fine-grained knowledge annotations with text understanding to create comprehensive information systems that go beyond traditional 10-blue-links search paradigms. In watershed data science, she applies similar machine learning techniques to environmental data streams, focusing on solute transport analysis during storm events. Her recent publications reveal a strong trend toward fine-grained semantic understanding, particularly in entity-oriented search tasks. She has pioneered methods for entity-aspect linking that significantly improve retrieval accuracy by capturing different contexts in which entities appear. Her work increasingly integrates knowledge graphs with neural architectures, showing sophisticated understanding of how to leverage both structured and unstructured information for better search experiences. Best paper award at JCDL 2018 for work on entity-aspect linking NSF CAREER Award (2019-2023) for "Utilizing Fine-grained Knowledge Annotations in Text Understanding and Retrieval" OSSI Award 2013 from UMass ICB3 for open-source hardware/software Dietz actively mentors PhD and Masters students through the TREMA lab, with current research focusing on entity ranking, topic extraction, conversational search, and watershed forecasting. Her grant portfolio includes the NSF CAREER award and funding from the Northeast Big Data Innovation Hub for forecasting salinity in rivers during storm events. She has also coordinated the TREC Complex Answer Retrieval track (2017-2019), creating important benchmarks for the IR community. The TREMA lab (Text Retrieval, Entity Modeling, and Applications) serves as the hub for Dietz's research activities, bringing together students and collaborators to work on cutting-edge problems in information access. The lab's work spans both theoretical contributions to information retrieval and practical applications in domains ranging from environmental science to scientific publication analysis.

Bryan Parnoمشاهده پروفایل

استاد

• Secure Systems
• Formal Software Verification
• Applied Cryptography
• +۷ مورد دیگر

Bryan Parno is the Kavčić-Moura Professor of Electrical & Computer Engineering and Computer Science at Carnegie Mellon University, where he leads the Secure Foundations Lab within CyLab, CMU's Security & Privacy Institute. His research combines theory and practice to provide formal, rigorous security guarantees about concrete systems, with emphasis on creating solid foundations for practical solutions. His research spans secure systems , formal software verification , applied cryptography , data privacy , and usable security . Current work focuses on protocols for verifiable computation and zero-knowledge proofs, building practical formally verified secure systems, and developing next-generation application models. His lab maintains a strong commitment to reproducibility, open-sourcing code under permissive licenses, and avoiding patenting results to maximize public benefit. His recent publications demonstrate a clear trend toward practical verification of real-world systems, particularly through the Verus project for verifying Rust code, Everest for building verified HTTPS stacks, and Ironclad for provably secure systems. These works bridge the gap between theoretical security guarantees and practical implementation, with applications ranging from blockchain protocols to verified cryptographic libraries deployed in the Linux kernel. His scientific achievements include multiple Distinguished Paper/Artifact Awards (USENIX Security, SOSP, PLDI), the IEEE Cybersecurity Award for Practice , the Sloan Fellowship , and the ACM Doctoral Dissertation Award . His work on verifiable computation protocols has influenced blockchain systems, while his research on secure code execution environments contributed to Intel's SGX and TDX technologies. As an advisor, Parno has mentored numerous PhD students including Aymeric Fromherz (recipient of the ACM SIGSAC Doctoral Dissertation Award) and Jay Bosamiya. His lab receives funding from diverse sources including NSF, industry partners, and security foundations. Notably, his work has been incorporated into Windows 8+, iOS 13+, and the Linux kernel. He also serves in leadership roles including Chair of IEEE Computer Society's Technical Committee on Security & Privacy. The Secure Foundations Lab maintains strong industry connections, with alumni joining Microsoft Research, Inria, Northeastern University, and other leading institutions. Recent projects like Verus, Everest, and Ironclad represent the lab's commitment to building end-to-end verified systems that provide rigorous security guarantees while maintaining practical performance.

Freddie Witherdenمشاهده پروفایل

استادیار

• Numerical methods
• Computational fluid dynamics
• High-performance computing
• +۱ مورد دیگر

Freddie Witherden serves as Assistant Professor in the Department of Ocean Engineering within Texas A&M University's College of Engineering, where he develops and applies advanced numerical methods to complex fluid flow problems. His educational background includes: Ph.D. in Aerospace Engineering from Imperial College (2015) M.S. in Theoretical Physics from Imperial College London (2012) Dr. Witherden's research focuses on creating high-performance computational frameworks for fluid dynamics, with core expertise in numerical methods, computational fluid dynamics, high-performance computing, and quadrature theory. His work bridges theoretical mathematics with practical engineering applications, particularly through the development of the open-source PyFR framework for solving advection-diffusion problems on modern hardware architectures. His publication record (2014-2018) reveals a consistent trajectory from foundational numerical methods (symmetric quadrature rules for finite elements) to cutting-edge applications in green aviation and deep learning for fluid flow control, demonstrating strong interdisciplinary connections between computational mathematics, aerospace engineering, and machine learning. No scientific awards were documented in the provided materials. As leader of the Witherden Research Group, he directs projects developing novel numerical methods for complex flow problems. While specific grant details are absent, his publications in high-impact venues like SC16 and NeurIPS suggest active external funding for computational research. His teaching responsibilities include OCEN 689, focused on advanced ocean engineering topics. The Witherden Research Group functions as his primary research unit, dedicated to implementing and applying innovative numerical techniques to challenging fluid dynamics scenarios, with emphasis on heterogeneous computing environments and unstructured grid systems.

• Ecoacoustics
• Biodiversity Monitoring
• Machine Learning Applications
• +۵ مورد دیگر

Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems. His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring. Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications. Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature , Nature Reviews Biodiversity , and Proceedings of the National Academy of Sciences , demonstrating significant scholarly engagement within the ecological research community. He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.

• IT Law
• Gaming Law
• Virtual Worlds
• +۵ مورد دیگر

Prof. Kai Erenli serves as a Professor at the University of Applied Sciences BFI Vienna, where he heads the bachelor's program "Interactive Media & Games Business". Additionally, since 2013, he has directed the legal department of a Viennese animation company, specializing in gaming law and contract law. His career uniquely bridges academic scholarship and industry practice, with deep expertise in IT law dating back to 2003, certified project management credentials, and prior experience managing an advertising agency. Erenli's research centers on the legal frontiers of digital innovation, with primary emphases on IT law, gaming law, and the regulatory challenges of virtual/augmented reality environments. His scholarship critically examines intellectual property frameworks in virtual worlds, cryptocurrency regulation, and the application of gamification principles in educational contexts. He consistently explores tensions between technological advancement and existing legal structures, advocating for adaptive jurisprudence that accommodates immersive technologies while protecting user rights and commercial interests. Analysis of his 2012-2019 publications reveals a sustained focus on practical legal implications of emerging technologies. His work demonstrates increasing sophistication in addressing virtual asset ownership, location-based gaming compliance, and VR/AR content regulation, with notable contributions to educational technology law and cryptocurrency governance. The interdisciplinary nature of his research bridges computer science, legal theory, and media studies. Scientific recognition includes: ars docendi state prize in "Economics and Law" category (Austrian Federal Ministry of Science, Research and Economy, 2015) As academic program head, Erenli provides institutional leadership and mentorship for bachelor's students in interactive media and gaming business. His role involves curriculum development, industry partnership cultivation, and academic oversight, though specific doctoral advisees or research grants aren't documented in available sources. His industry legal consultancy demonstrates applied scholarship beyond traditional academia. Prof. Erenli has pioneered the VICERO virtual world education platform and contributed to establishing a major German-speaking e-learning infrastructure. His collaborative projects frequently involve cross-disciplinary teams integrating legal experts, technologists, and educators to develop compliant immersive experiences. Current work continues through his blog Virtuellewelten.at and ongoing industry consultancy.

Ilhan Akbasمشاهده پروفایل

دانشیار

• Complex Systems
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Dr. Ilhan Akbas is an Associate Professor in the Electrical Engineering and Computer Science Department within the College of Engineering at Embry-Riddle Aeronautical University. He serves as Director of the Flexible & Intelligent Complex Systems (FICS) Research Group, Co-director of the Wireless Devices and Electromagnetics (WIDE) Lab, and holds leadership positions in the Center for Aerospace Resilient Systems (CARS) and the Advanced Air Mobility Research and Innovation Lab (AAMRIL). With over 20 years of experience in machine learning, complex systems, and modeling & simulation, Dr. Akbas's research focuses on validation and verification of autonomous systems, particularly in aerospace applications. His work develops methods for decision-making in high-dimensional, probabilistic scenarios with applications in autonomous vehicles, cybersecurity for unmanned aerial systems, and cyber-physical systems operating in dynamic/uncertain environments. Dr. Akbas's research has secured funding through grants from the National Science Foundation, Federal Aviation Administration, U.S. Air Force, Office of Naval Research, and industry partners. His publication record includes more than 30 journal and 80 conference papers in IEEE, ACM and AIAA venues, with recent work focusing on AI validation frameworks, autonomous vehicle safety testing, and cybersecurity for unmanned systems. His scientific contributions are recognized through his status as a Senior Member of IEEE and membership in several professional organizations including ACM, AIAA, SAE, the International Alliance for Mobility Testing and Standardization, the Complex Systems Society, and the Cyber Safety Commercial Aviation Team. Dr. Akbas actively mentors students through research projects and teaches courses including Computer Science Capstone Design, Digital Communications, and graduate thesis supervision. His research group utilizes advanced tools including Python, Julia, Rust, simulation environments like AirSim and CARLA, and hardware platforms including NVIDIA Jetson for edge computing applications.

Bernardi Pranggonoمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things
• Computer Networks
• +۳ مورد دیگر

Dr. Bernardi Pranggono serves as Associate Professor in Cyber Security and Computer Networks at Anglia Ruskin University's School of Computing and Information Science, Cambridge. With over 20 years of combined academic and industry experience, he previously held positions at Sheffield Hallam University, Glasgow Caledonian University, Queen's University Belfast, and the University of Leeds, alongside industry roles at Oracle, PricewaterhouseCoopers, Accenture, and Telstra. Education: PhD in Electronics and Electrical Engineering, University of Leeds, UK Master in Digital Communications, Monash University, Australia BEng in Electronics and Telecommunications Engineering, Waseda University, Japan PGCert in Learning and Teaching in Higher Education, Glasgow Caledonian University, UK Research Focus: His work centers on cybersecurity for resource-constrained IoT ecosystems, lightweight cryptographic protocols, and sustainable ICT solutions. Current investigations span IoMT security frameworks, AI-driven intrusion detection systems, green networking for smart grids, and Industry 4.0 security architectures. His approach integrates theoretical rigor with practical industry applications, particularly in healthcare and critical infrastructure protection. Publication Trends: Recent works (2021-2023) demonstrate concentrated efforts in IoT security mechanisms (35%), healthcare cybersecurity (25%), and energy-efficient computing (20%). Key patterns include development of lightweight cryptographic primitives for LoRaWAN, anomaly detection in medical IoT, and AI-enhanced security for smart grid infrastructure, reflecting strong interdisciplinary collaboration with engineering and medical researchers. Scientific Recognition: Fellow of the Higher Education Academy (FHEA) Senior Member of IEEE (SMIEEE) Research Leadership: As Principal Investigator for British Council's Going Global Partnerships project (2024) on AI data science skills for women's employability and Engineering/Mathematics Research Grant on IoMT Security (2022), he directs internationally funded initiatives. His EPSRC/FP7 project participation (INSTANT, HIPNet, PRECYSE) demonstrates sustained grant acquisition capability across cybersecurity and IoT domains. Professional Engagement: Chairs IEEE's SIG-Industrial IoT Networks, serves as Associate Editor for Frontiers journals, and provides extensive peer review services for IEEE, Elsevier, and Springer publications while maintaining active industry consultation roles.

Björn Lundellمشاهده پروفایل

پژوهشگر

• Open Source Software
• ICT Standards
• Public Sector IT
• +۳ مورد دیگر

Björn Lundell is a Researcher at the School of Informatics, University of Skövde, Sweden. His work centers on Open Source Software (OSS), ICT standards, and digital governance in public sector contexts. He investigates sustainable software practices, interoperability, and policy compliance. Research Interests: Lundell explores: OSS adoption in government and industry Digital preservation (e.g., PDF/A conformance) Software ecosystems and standardization SaaS licensing risks and open alternatives His 158 publications reflect a focus on practical challenges in public IT, including accessibility, procurement, and cross-border data governance. Recent trends show emphasis on IoT standards and reproducible builds. Affiliations: Lundell is exclusively affiliated with the University of Skövde. No lab, awards, or supervised students are mentioned in the source material.