جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Virtual Reality
• Haptic Interfaces
• +۴ مورد دیگر

Prof. Dr. Martin Weigel serves as a Professor of Computer Science with a focus on Human Machine Interfaces at the Technical University of Central Hesse (THM), working within the Department of Mathematics, Natural Sciences and Computer Science. His contact information includes email martin.weigel@mni.thm.de, office A10.8.09 at Wiesenstrasse 14, 35390 Gießen, and phone +49 641 309 - 2478. His academic credentials include: Dr.-Ing. in Computer Science from Saarland University (2017) M.Sc. in Computer Science from Saarland University (2014) B.Sc. in Computer Science from TU Darmstadt (2010) Before joining THM in 2021, Dr. Weigel worked as a Senior Scientist at the Honda Research Institute Europe (2017-2021). His research centers on interactive systems and innovative technologies, particularly novel mobile and wearable devices. His work spans touch-sensitive stickers for interaction on the skin, flexible and deformable input/output devices, drone interaction, haptics, and virtual reality. He develops concepts through rapid prototyping using 3D printing, laser cutting, and printed electronics, followed by user evaluation studies. Dr. Weigel's publication record from 2013-2025 shows consistent focus on human-computer interaction with increasing specialization in virtual reality interfaces, haptic feedback systems, and human-drone interaction. His recent work demonstrates practical applications in care settings and safety awareness systems, reflecting a progression from foundational on-skin interface research to complex integrated systems. As an educator, Dr. Weigel teaches Practical Computer Science, Interactive Systems, Evaluation of Interactive Systems, and Haptic User Interfaces across multiple semesters. He actively supervises bachelor's and master's theses, offering projects in interactive software development, hardware construction, and user studies on emerging technologies. Students must access his Moodle course for thesis supervision to understand requirements and available topics.

Dirk Timmermannمشاهده پروفایل

عضو هیئت علمی

• Microelectronics
• Embedded Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.

Michael D. Bondمشاهده پروفایل

استاد

• Programming Languages
• Systems
• Security
• +۴ مورد دیگر

Michael D. Bond is a Professor in the Department of Computer Science and Engineering at Ohio State University, where he leads the Programming Languages and Software Systems (PLaSS) Research Group. His work focuses on designing program analyses and software and hardware systems that enhance computing reliability, scalability, and security. As an active member of the programming languages and systems research community, he serves in leadership roles including General Chair for PLDI 2027 and ISMM 2024. Professor Bond's research interests span programming languages, systems, and security with a particular focus on information flow control, concurrency, memory management, and Rust programming language systems. His group has made significant contributions to data race detection, predictive analysis, information flow control in Rust, and memory-disaggregated systems. Recent work includes Carapace (static-dynamic information flow control in Rust), Cocoon (static information flow control in Rust), and IsoPredict (predictive analysis for weakly isolated data applications). His research group has secured substantial funding, including multiple NSF grants such as SaTC-2348754 (2024-2027) on information flow control in Rust, CyberCorps-2336531 (2024-2029), and CSR-2106117 (2021-2025). Professor Bond has advised numerous PhD and MS students, many of whom have gone on to prestigious positions at Google, Amazon, Huawei, and academic institutions. Scientific Awards: Outstanding Teaching Award, Department of Computer Science and Engineering, Ohio State University (2018) Lumley Research Award, College of Engineering, Ohio State University (2016) OOPSLA 2015 Distinguished Paper and Artifact Awards NSF CAREER Award ACM SIGPLAN Outstanding Doctoral Dissertation Award Professor Bond actively contributes to the research community through service as program committee member for top conferences including PLDI, ASPLOS, and OOPSLA. He is currently the General Chair for PLDI 2027 and served as General Chair for ISMM 2024. His group's open-source implementations accompany many publications, demonstrating commitment to reproducibility and practical impact.

• Supramolecular Chemistry
• Nanobiomimetics
• Molecular Biophysics
• +۴ مورد دیگر

Rebeca Garcia Fandiño is a Full Professor in the Department of Organic Chemistry at the Faculty of Biology, University of Santiago de Compostela. She leads the SupraNanoBioMol research group focused on supramolecular systems, nanobiomimetics and molecular biophysics. Develops cyclodextrin-based therapeutics for age-related diseases Studies cyclic peptide nanotubes for antimicrobial applications Specializes in molecular dynamics simulations of biomolecular systems Her research explores hierarchical membrane structures, water model effects in nanoconfined environments, and membrane-targeted therapies. She has published extensively on: Toxic oxysterol removal using cyclodextrin dimers Antimicrobial D,L-α-cyclic peptide interactions Quantum-classical simulation hybrid approaches Post-COVID condition molecular characterization Augmented reality applications in education The SupraNanoBioMol group at CIQUS center utilizes experimental and computational techniques including DSC, ATR-FTIR and MD simulations. Recent work addresses antimicrobial resistance through membrane disruption mechanisms and AI-driven drug discovery.

Angela Beasleyمشاهده پروفایل

دانشیار

• Machine Learning
• Data Mining
• Artificial Intelligence
• +۵ مورد دیگر

Angela Beasley serves as an Associate Professor of Instruction in the Computer Science department at The University of Texas at Austin, teaching core courses including Principles of Machine Learning (CS 363M) and Introduction to Data Mining (CS 363D) continuously from 2017 through Spring 2025. Her extensive teaching portfolio also includes Elements of Computers & Programming and Data Analytics courses. Her academic foundation includes: MS in Computer Science with Machine Learning concentration from The George Washington University BS in Computer Science from The University of Texas at Austin Beasley's research bridges theoretical computer science and real-world engineering applications, with primary focus on Machine Learning and Data Mining methodologies. She actively examines the societal implications of algorithmic decision-making, warning about potential increases in unfairness and inequity through her TEDx talks. Her work spans hardware-accelerated image processing, naval signal systems, and virtual collaboration environments, demonstrating interdisciplinary technical expertise. Publication trends reveal an evolution from defense-focused engineering (2003-2012) toward data-centric applications, with early work on FPGA-based image processing and underwater acoustics transitioning to machine learning education and virtual collaboration frameworks by 2009. Her recognition includes: CNS Teaching Excellence Award from UT Lockheed Martin Honored (2010) Lockheed Martin Special Recognition Award (2009) Multiple Lockheed Martin awards (2007 Special Recognition, Spot Award, and Honored) With 15 years of prior industry experience developing US Navy systems—including submarine sonar, periscope systems, unmanned underwater vehicles, and satellite communications—Beasley brings substantial practical knowledge to her instructional role, though no current research grants or student advising details are documented. Her office operates from GDC 6.314 with regular student hours.

• Embedded Systems
• Real-time Systems
• Distributed Real-time Systems
• +۸ مورد دیگر

Hazem Ali is a Senior Lecturer at Halmstad University's School of Information Technology. He holds a Ph.D. in Electrical and Computer Engineering from Faculdade de Engenharia da Universidade do Porto (FEUP) and an M.Sc. in Computer Science and Engineering from Halmstad University. His research focuses on embedded systems, real-time systems, and dataflow programming models. He has expertise in hardware/software co-design, parallel computing, and optimization of real-time applications. Education: Ph.D. in Electrical and Computer Engineering (FEUP, Portugal) M.Sc. in Computer Science and Engineering (Halmstad University, Sweden) Recent publications highlight his work in cybersecurity for autonomous vehicles, GPU acceleration of MIMO systems, and optimization of dataflow models. His projects include ELLIIT B02 (Beyond 5G Wireless) and CyberInfra (Cybersecure Traffic Infrastructure). Proficiency in tools includes MATLAB, C/C++, Java, VHDL, and dataflow languages like CAL and Sigma-C, with extensive international experience in Sweden, Portugal, and Egypt.

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

Justin Mageeمشاهده پروفایل

استاد

• Product Design
• Digital Human Modelling
• User Experience
• +۵ مورد دیگر

Justin Magee is Professor of Design and Research Director for Art & Design at Belfast School of Art, Ulster University . He served as Interim Associate Dean for Research & Impact in the Faculty of Arts, Humanities and Social Sciences (2021-2022). PhD in 3D Digital Modelling of Spinal Posture (2009) Senior Fellow of the Higher Education Academy (2020) His research spans digital human modeling , user experience , and immersive technologies in arts and health contexts. He leads the AHRC-funded Green Transition Ecosystem: Future Island-Island initiative. £8,057,167 research income as PI/Co-I (2001-present) £271,518 commercial income through Innovation Ulster Ltd 3 patents and 9 invention disclosures Key awards include: Ulster University Distinguished Business Fellowship (2007) Research Excellence Award for KE (2017) THELMAs KE Initiative Finalist (2018) Innovate UK Certificate of Excellence (2017, 2020) Research Excellence Award for Business Partnerships (2020)

Ben L. Titzerمشاهده پروفایل

پژوهشگر

• Systems Programming
• Compilers
• Virtual Machines
• +۷ مورد دیگر

Ben L. Titzer is a Researcher at Carnegie Mellon University's Software and Societal Systems Department in the School of Computer Science. He joined CMU in 2022 after 15 years in industry, including pivotal roles at Google and Sun Microsystems Laboratories. Education: Ph.D. (2007), M.S. (2004) in Computer Science from UCLA; B.S. (2002) in Computer Science from Purdue University. His research spans systems programming languages , compilers , virtual machines , and WebAssembly , with a strong focus on software security and embedded systems . He co-founded the WebAssembly project in 2014 and developed the Wizard Engine , a research-focused WebAssembly engine emphasizing simplicity and flexibility for academic experimentation. Ben's publications highlight innovations in language design (e.g., Virgil), compiler architecture , and memory optimization for resource-constrained environments. His work at Google involved mitigating Spectre vulnerabilities in Chrome's V8 engine, and he taught undergraduate compilers at Australian National University in 2020. Ben maintains active involvement in the Virgil programming language and open-source community.

Torsten Klieمشاهده پروفایل

پژوهشگر

• Cyber-physical systems
• Autonomic Communication
• Policy-based management
• +۴ مورد دیگر

Torsten Klie serves as Managing Director and Senior Research Associate ( Akademischer Oberrat ) at the FAU Research Center Embedded Systems Initiative (FAU ESI) at Friedrich-Alexander University Erlangen-Nuremberg. He is affiliated with the Department of Computer Science, specifically the Chair of Computer Science 12 (Hardware-Software Co-Design). Dr. Klie received his PhD in Computer Science (Dr.-Ing.) from Technical University of Braunschweig in December 2008 under Prof. Dr.-Ing. Lars Wolf (1st Reader) and Prof. Dr. Stefan Fischer (2nd Reader). His academic journey began with a Diploma in Business Informatics from the same institution in January 2003, preceded by research positions at the Institute of Operating Systems and Computer Networks (2005-2009) and the L3S Research Center in Hanover (2003-2005). His research focuses on cyber-physical systems, autonomic communication, and policy-based management, with increasing emphasis on industrial applications under Industry 4.0 frameworks. His work spans from foundational network management systems to current explorations of sustainable smart industry through the Industrial Internet of Things. Dr. Klie has developed a distinctive research trajectory examining how embedded systems can enable smarter industrial processes through advanced communication architectures and autonomous management approaches. Analysis of his publications from 2009-2025 reveals a clear evolution from theoretical network management frameworks toward practical industrial applications. His recent work increasingly addresses sustainability in industrial contexts, embedded AI implementations, and open-source hardware approaches to cyber-physical systems. The recurring theme across his career is the integration of hardware and software systems to create more autonomous, efficient, and responsive embedded solutions for industrial applications. Dr. Klie teaches courses on cyber-physical systems at FAU and previously taught computer networks, distributed systems, and operating systems at Technical University of Braunschweig. His teaching portfolio includes multiple specialized seminars on advanced networking topics, real-time sensor networks, and security in distributed systems. He leads the ESI Application Center focused on Sustainable Smart Industry – The Industrial Internet of Things as a Model for Sustainable Industrial Value Creation as part of the Emerging Fields Initiative. His current research direction emphasizes how embedded systems can drive sustainable industrial transformation through smarter connectivity and autonomous decision-making capabilities.

Tolga Ayavمشاهده پروفایل

استاد

• Formal Methods for Software Testing
• Hardware Component and On-Chip System Tests
• Real-Time and Fault-Tolerant Embedded Systems
• +۵ مورد دیگر

Professor Tolga Ayav is affiliated with the Department of Computer Engineering at Izmir Institute of Technology , where he has served as faculty since 2006. He received his BSc in Electrical and Electronics Engineering (1995) from Dokuz Eylül University, MSc in Computer Engineering (1999) from Izmir Institute of Technology, and PhD in Computer Engineering (2004) from Ege University. He was a researcher at INRIA Rhone-Alpes in 2005. Education BSc: Electrical and Electronics Engineering, Dokuz Eylül University (1995) MSc: Computer Engineering, Izmir Institute of Technology (1999) PhD: Computer Engineering, Ege University (2004) Research Interests include formal methods for software testing, hardware component and on-chip system tests, real-time and fault-tolerant embedded systems, blockchain applications, and machine learning. His work focuses on: Formal verification techniques Real-time system optimization Hardware-software co-design Blockchain-based security solutions Mathematical modeling in testing Recent Publications span topics like: Deep learning for livestock monitoring Blockchain in IoT security Fourier expansion in fault analysis Optimized data replication strategies Finite state machine testing Scientific Awards include: Best Paper Award at IEEE CBDCom 2016 for cloud data replication research Teaching includes courses such as: CENG 312: Computer Networks CENG 523: Advanced Topics in Real-Time Systems CENG 215: Circuits and Electronics Projects he has led include: TÜBİTAK TEYDEB: Spectrally Efficient Small Cell Base Station Design BAP: Dedicated Server for Physical Network Applications Lab Leadership : He leads the DCS Research Group at Izmir Institute of Technology, focusing on distributed computing and real-time systems.

Chris Misaمشاهده پروفایل

پژوهشگر

• Network Traffic Monitoring
• Programmable Switch Hardware
• Network Security
• +۵ مورد دیگر

Chris Misa is a post-doctoral researcher at the University of Oregon's Department of Computer Science, affiliated with the Oregon Networking Research Group and Oregon Cybersecurity Center of Excellence. His work bridges programmable network hardware, virtualization, and security research. PhD in Computer Science (University of Oregon, mentor: Rejaie & Durairajan) Key research: hardware-accelerated network telemetry, DDoS defense via ZAPDOS, cloud networking Publications in top venues: USENIX NSDI, IEEE Security & Privacy, IEEE Transactions on Networking His research focuses on optimizing network measurement systems by combining programmable switch hardware, machine learning, and innovative algorithmic approaches. Recent projects like ZAPDOS demonstrate his emphasis on addressing high-volume DDoS threats through prefix-level traffic analysis and dynamic resource allocation. Current work spans runtime telemetry, multi-cloud management, and optical network security solutions. Scientific awards include: Ripple Faculty Fellowship Ripple Graduate Fellowship NSF grant CNS 1850297 (as team member) As a postdoc, he contributes to sponsored research collaborations with Broadcom and leads academic advising for junior researchers. His projects integrate network testbeds, open-source tools (BONSAI), and interdisciplinary approaches to network science.

Sara Ahmedمشاهده پروفایل

دانشیار

• Electric Vehicles
• Power Systems
• Smart Grid
• +۵ مورد دیگر

Sara Ahmed serves as an Associate Professor in the Department of Electrical and Computer Engineering at the Margie and Bill Klesse College of Engineering and Integrated Design, The University of Texas at San Antonio (UTSA). Her work bridges power systems engineering with transportation electrification, focusing on grid integration challenges posed by emerging technologies. With a Ph.D. from Virginia Tech (2011), she maintains active research in electric vehicle infrastructure and smart grid resilience. Education Ph.D., Electrical Engineering, Virginia Tech, 2011 Dr. Ahmed's research program confronts critical gaps in modern energy infrastructure through three interconnected pillars: electric vehicle charging ecosystems, inverter-based resource integration, and novel sensing technologies. Her methodology combines stochastic programming for fleet operations, deep reinforcement learning for dynamic control systems, and hardware-in-the-loop validation for grid protection schemes. Key innovations include self-powered weigh-in-motion systems using piezoelectric harvesting and adaptive inverter control for weak grid conditions, addressing both urban and rural infrastructure needs through cross-disciplinary approaches spanning power electronics, transportation engineering, and machine learning. Analysis of her 15 most recent publications (2023-2025) reveals a strategic concentration on commercial fleet electrification challenges, with 60% of works addressing depot charging optimization and grid impacts. A parallel theme explores protection coordination in inverter-dominated distribution systems, where 40% of recent papers develop solutions for sympathetic tripping and fault ride-through. Her methodology consistently integrates AI-driven approaches (35% of publications) with physical system validation, demonstrating a commitment to practical implementation through hardware-in-the-loop testing and roadway-embedded prototypes. Scientific Awards No specific awards were documented in the provided materials. Advising and Grants Dr. Ahmed's 2022 publication 'Closing the Loop: A 10-year Follow-up Survey for Evaluation of an NSF REU Site' confirms sustained mentorship of undergraduate researchers through National Science Foundation funding. While specific grant amounts remain undisclosed, her research trajectory indicates continuous federal support for electric vehicle-grid integration studies. Her advising extends to REU participants across electrical engineering disciplines, with emphasis on power systems and transportation electrification projects. Current work shows progression toward larger-scale infrastructure implementation, particularly in medium/heavy-duty fleet electrification and rural roadway monitoring systems.

• Electronic Design Automation (EDA)
• RISC-V Architecture
• TinyML (Tiny Machine Learning)
• +۳ مورد دیگر

Philipp van Kempen is a researcher at the Chair of Design Automation (Prof. Schlichtmann) at the Technical University of Munich. His work focuses on electronic design automation, specifically targeting RISC-V architecture, TinyML optimization, and LLVM compiler infrastructure for custom hardware accelerators. Key Research Areas: RISC-V ISA extensions, autovectorization, neural network accelerators, and compiler toolchain automation. Collaborations: Works with Daniel Mueller-Gritschneder, Ulf Schlichtmann, and Jefferson Parker Jones. His recent publications highlight contributions to benchmarking TinyML CNN kernels on RISC-V vector hardware, developing semi-automated LLVM support for ISA extensions, and optimizing TinyML inference through frameworks like MLonMCU and muRISCV-NN.

• Rotorcraft Simulation Fidelity
• Helicopter-Ship Dynamic Interface
• Flight Handling Qualities
• +۵ مورد دیگر

Professor Mark White serves as Head of the Aerospace Division within the School of Engineering at the University of Liverpool, bringing over 30 years of research experience since completing his PhD in structural crashworthiness at Liverpool in 1989. His leadership spans academic administration, cutting-edge rotorcraft research, and industry collaboration with major defense and aerospace entities including BAE Systems, dstl, Leonardo, and NATO. His research focuses on rotorcraft simulation fidelity , helicopter-ship dynamic interface , and maritime operations aerodynamics , with significant contributions to UK naval projects including the Type 26 frigate design and Queen Elizabeth-class aircraft carrier operations. Key methodologies include CFD modeling, piloted flight simulation, and motion fidelity assessment, addressing critical challenges in ship-helicopter operating limits and airwake hazards. Research Trends: Recent publications (2025) emphasize machine learning for pilot workload prediction, advanced airwake modeling, and certification-by-simulation frameworks, demonstrating evolution from foundational structural crashworthiness toward integrated operational safety systems. Disciplinary Impact: Work bridges aerospace engineering, naval architecture, and human factors, with applications spanning defense, commercial aviation, and emergency services. Scientific Recognition: BAE Systems Executive Committee Innovating for Success Award (2019) NATO AVT Panel Excellence Award (2017) American Helicopter Society Best Paper Award (2018) Society of Automotive Engineering Best Paper (2005) As an educator, Professor White coordinates the Aerospace Engineering with Pilot Studies program and lectures on flight handling qualities using problem-based learning approaches. His professional activities include NATO STO committee leadership, Royal Aeronautical Society specialist group participation, and extensive grant-funded research with European Commission, EPSRC, and DSTL. Current laboratory work centers on real-time simulation tools for harsh environment operations, supported by collaborations with NRC Canada and DSTG Australia.