جست‌وجوی استاد و پژوهشگر

Yuvraj Agarwalمشاهده پروفایل

استاد

• Systems and Networking
• Embedded Systems
• Mobile Computing
• +۴ مورد دیگر

Yuvraj Agarwal is a Professor at Carnegie Mellon University's School of Computer Science, where he founded and directs the SYNERGY Lab. He previously served as Executive Director of the NSF Expeditions in Variability (2010-2013) and was affiliated with UCSD's Microelectronic Embedded Systems Lab (MESL) and Systems and Networking Group (SysNet). Research Themes : Systems & Networking, Embedded Systems, Mobile Computing, with focus on energy efficiency and privacy. Leadership : Director of SYNERGY Lab, Co-PI in NSF CoDec expedition, Brick Consortium member. His research bridges hardware-software systems with societal impact, including smart building energy optimization using occupancy sensing, mobile privacy tools like ProtectMyPrivacy, and IoT security labeling frameworks . Recent work includes the Computational Decarbonization NSF expedition ($12M over 5 years) to reduce carbon footprints in societal infrastructure. Scientific Awards : 2024: Promoted to Full Professor 2012: UCSD Outstanding Faculty Award for Sustainability 2016: Google Faculty Research Award Advising : Guided 11 PhD students to completion (now in academia/startups) and mentored 10+ MS/undergraduate researchers. Current advisees include 4 PhD students in Carnegie Mellon's Societal Computing program. Grants : NSF Expeditions in Variability (2010-2013), NSF #1564009 (2016), NSF #1526237 (2015), NSF #1513957 (2015), DARPA BRANDEIS program (2015), and Google research funding (2015). Labs & Collaborations : SYNERGY Lab at CMU focusing on IoT and smart campus systems. Key collaborations with the Brick Consortium (Johnson Controls, Schneider Electric), Microsoft Research, Intel Research, and academic institutions including UCSD and UMass Amherst.

Giovanni Squilleroمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Evolutionary Algorithms
• +۷ مورد دیگر

Giovanni Squillero is a Full Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He leads the CAD group (Electronic CAD & Reliability) and serves on Politecnico's Joint Committee for Teaching and Ph.D. Steering Committee (Pure and Applied Mathematics).

Christopher Crickمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Science
• Human-Robot Interaction
• +۷ مورد دیگر

Christopher Crick is an Associate Professor in the Department of Computer Science at Oklahoma State University. He leads the Robotic Cognition Laboratory, focusing on grounding developmental psychology and cognitive science in embodied AI systems, while improving robotics through human cognition-inspired models. University: Oklahoma State University Department: Computer Science Academic Rank: Associate Professor Email: chris.crick@okstate.edu, chriscrick@cs.okstate.edu Research Interests: Artificial Intelligence Cognitive Science Human-Robot Interaction Atmospheric Sciences (via UAV applications) Machine Learning Medical Informatics Scientific Activities: NSF-funded research in robotics, UAVs, and AI Professional memberships: Cognitive Science Society, ACM, AAAS Editorial roles and conference reviewing in robotics and AI Lab: Robotic Cognition Laboratory

Robert McLeodمشاهده پروفایل

استاد

• Photonics
• Holographic Materials
• Additive Manufacturing
• +۴ مورد دیگر

Robert McLeod is the Richard & Joy Dorf Endowed Professor in the Department of Photonics & Quantum Engineering at the University of Colorado. His research focuses on advanced materials and technologies for photonics, holography, and additive manufacturing. Key areas include the design of holographic photopolymers, volumetric 3D printing, and high-performance optical materials. He has pioneered innovations in thiol-ene chemistry for dynamic polymer networks and developed methodologies for precision manufacturing techniques like parallax manufacturing and latent image volumetric additive manufacturing. His work bridges materials science, optics, and engineering, with applications in biomedical devices, environmental sensors, and next-generation optical systems. Education details are not explicitly provided in the text. Current research emphasizes optimizing material properties for 3D printing, enhancing holographic storage, and creating bio-inspired materials for medical applications. McLeod’s contributions span over 50 peer-reviewed articles since 2018, with a strong focus on interdisciplinary approaches to manufacturing and photonics. His lab develops cutting-edge solutions for challenges in refractive index control, occlusion management in additive manufacturing, and high-precision optical component fabrication. Notable advancements include the suppression of parasitic reflections using elastomeric films, the integration of self-healing electronics for plant monitoring, and the synthesis of biodegradable resins for 3D-printed biomaterials. McLeod collaborates on projects such as photosensitive materials development and the creation of gradient-index lenses via digital light processing. His work is supported by strategic initiatives aligning with the University of Colorado’s focus on quantum engineering and advanced manufacturing technologies.

• Artificial Intelligence
• Machine Learning
• Neural Networks
• +۳ مورد دیگر

Călin-Adrian POPA is a Full Professor at the Department of Computer and Software Engineering, Politehnica University of Timişoara. He holds a Ph.D. in Computer Science and Information Technology (2015) from Politehnica University Timişoara, and additional degrees in Mathematics from West University of Timişoara (B.Sc. 2013, M.Sc. 2015). His research focuses on artificial intelligence, machine learning, and neural networks, with specializations in complex-valued systems (octonion, quaternion, Clifford algebra), stability analysis, and synchronization of neural networks. He has been awarded the 'Profesor Bologna' Distinction (2017). Research interests include: Advanced neural network architectures Deep learning for computer vision Fractional-order systems Nonlinear dynamics and control Applications in robotics and astrophysics His publications span 2014–2025, emphasizing theoretical contributions to neural networks and practical applications in computer vision and robotics. He supervises a large cohort of PhD students in AI-related fields.

Gizem Ates Venåsمشاهده پروفایل

دانشیار

• Human-Robot Interaction (HRI)
• Inertial Measurement Units (IMUs)
• Gamified User Training
• +۴ مورد دیگر

Gizem Ates Venås is an Associate Professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences. She leads research in Human-Robot Interaction (HRI), focusing on intuitive human-robot cooperation through inertial measurement units (IMUs), gamified training systems, and teleoperation. Her work emphasizes safety and natural interaction in collaborative robotics applications. Education: Bachelor's in Electronics and Communication Engineering (2010-2015), Izmir Institute of Technology Master's in Mechanical Engineering (2015-2018), Izmir Institute of Technology PhD in Computer Science (Software Engineering, Sensor Networks) (2018-2023), Western Norway University of Applied Sciences Research interests include: IMU-based motion estimation for cooperative manipulation Design of gamified training systems to improve HRI proficiency Medical robotics applications in teleoperated surgical systems Sensor fusion and real-time data processing for collaborative robots Teaching focuses on robotics fundamentals: ROS programming, embedded systems (Arduino), and robot control Courses: ELE306 Robotics, DAT160 Intelligent Robots, ADA526 Applied Robot Prototyping Labs/Teams: Core member of HVL Robotics Lab, developing open-source robotics education materials and simulation tools.

• Condition Monitoring
• Fault Analysis
• Renewable Energy Systems
• +۵ مورد دیگر

Dr Nur Sarma is an Assistant Professor in the Department of Engineering at Durham University. He specializes in renewable energy systems, electrical power systems, and advanced control strategies. His research focuses on condition monitoring, fault analysis, and fault mitigation strategies for electrical machines and drive systems. He currently serves as the EDI and Wellbeing Director of the Durham University Engineering Department and holds an EPSRC EDI+ Fellowship. He is actively involved in promoting equity, diversity, and inclusion through roles such as Co-chair of the Durham University International Staff Network, member of the Women in Engineering Society (WES Durham), and Mentoring Coordinator for IEEE UK & Ireland Women in Power Group. He is also an EPSRC-WES Ambassador and a Programme Committee Member for the IEEE Women in Engineering International Leadership Conference (WiE ILC 2025). His research interests include electrical machine modeling, grid integration of renewable systems, and sensor-based condition monitoring. Key contributions include work on DFIG control strategies, fault detection using controller signals, and fiber optic sensing for machine diagnostics. Dr Sarma has authored over 20 publications in top conferences and journals, including IEEE Transactions on Sustainable Energy and International Journal of Electrical Power & Energy Systems. His work has been recognized with awards such as the Best Paper Prize at ICRERA 2016 and the TÜBİTAK International Postdoctoral Fellowship (2019). He currently supervises two PhD students at the Electrical Power Node and has taught modules like ENGI4467 on electrical energy conversion since 2022.

Peter Doddsمشاهده پروفایل

استاد

• Complex systems
• Networks
• Contagion
• +۷ مورد دیگر

Peter Dodds is a Professor in the Department of Mathematics and Statistics at the University of Vermont, part of the College of Engineering and Mathematical Sciences. His research focuses on complex systems, networks, and sociotechnical phenomena, with a particular emphasis on analyzing large-scale data from social media, language, and human behavior. Education: Ph.D. in Mathematics from the Massachusetts Institute of Technology (MIT). Research Interests: Complex systems, contagion dynamics, storytelling, happiness studies, and applications of computational methods to social and biological systems. Key Projects: Co-director of the Computational Story Lab, analyzing narratives and collective behavior via Twitter and other platforms. His work bridges disciplines, combining mathematical modeling, data science, and social science to understand phenomena such as viral spread, cultural trends, and public health. Notable contributions include studying emotional arcs in stories, the universality of positivity in language, and the dynamics of social media discourse around issues like climate change and political movements. Recent studies include analyzing sleep patterns in college students using wearable devices and examining the impact of social media on collective attention during crises like the pandemic. His methodologies, such as allotaxonometry and word shift graphs, provide novel tools for comparing complex datasets across domains. Dr. Dodds collaborates extensively with colleagues in computer science, sociology, and environmental science, fostering interdisciplinary approaches to understanding human systems. His lab’s work is often applied to real-world challenges, from improving well-being through wearable tech interventions to mitigating misinformation in online spaces.

Pericle Perazzoمشاهده پروفایل

پژوهشگر

• Post-quantum cryptography
• Blockchain technologies
• Attribute-based encryption
• +۴ مورد دیگر

Pericle Perazzo is a cybersecurity researcher at the Department of Information Engineering, University of Pisa, Italy. Since 2017, he has been a Researcher focusing on post-quantum cryptography, blockchain technologies, attribute-based encryption, and IoT security. He is a member of the TEACUP cybersecurity group and the quantum UNIPI research group, and contributes to teaching and training activities in cybersecurity. Education: PhD in Information Engineering, University of Pisa (2014) Master’s in Information Engineering, University of Pisa (2010, 110 cum laude) Bachelor’s in Information Engineering, University of Pisa (2005, 110 cum laude) Research Interests: His research spans critical areas of cybersecurity, particularly in the Internet of Things. He investigates post-quantum cryptographic protocols to secure future IoT deployments, designs scalable attribute-based encryption schemes for resource-constrained devices, and explores blockchain applications in smart cities and industrial IoT. His work also addresses secure routing, localization, and privacy preservation in wireless networks. Scientific Awards: Best Paper Award at S-CUBE 2014 for the paper "HUMsim: A Privacy-Oriented Human Mobility Simulator" Labs and Teams: He actively collaborates within the TEACUP cybersecurity research group and the quantum UNIPI research group. He also serves as a trainer for the University of Pisa's hacking team in the national CyberChallenge competition, mentoring students in cybersecurity skills.

• Compilers
• Parallel Computing
• Automatic Differentiation
• +۳ مورد دیگر

Billy Moses is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC), with affiliate roles in Electrical and Computer Engineering (courtesy) and the Coordinated Science Library. He holds a PhD and dual S.B. degrees in Electrical Engineering and Computer Science from MIT (2023, 2017), as well as an S.B. in Physics from MIT (2017). His research focuses on compilers, parallel computing, and compiler-driven optimization techniques for high-performance systems. Moses has pioneered work on the Tapir framework for fork-join parallelism, the MLIR compiler infrastructure, and Enzyme for automatic differentiation. Moses' research spans compiler design, GPU acceleration, and AI-driven compiler optimization. Notable contributions include the Polygeist compiler for C-to-MLIR transformation, the Autophase reinforcement learning system for HLS phase ordering, and the Enzyme framework for GPU kernel differentiation. His work emphasizes practical compiler solutions for parallelism, performance portability, and end-to-end code generation in domains like deep learning and scientific computing. Awards: 2024 SIGHPC Doctoral Dissertation Award Courses Taught: CS 598 APE (Advanced Performance Engineering) His recent projects include compiler-based approaches to GPU-to-CPU transpilation, performance portability in heterogeneous systems, and AI-driven compiler decision-making. Moses collaborates with industry and academic partners on advancing compiler technologies for exascale computing and machine learning acceleration.

• Network Protocols Engineering
• Cybersecurity
• Distributed Systems
• +۳ مورد دیگر

Klaus Wehrle is a Professor of Computer Science and Head of the Communication and Distributed Systems Group (Informatik 4) at RWTH Aachen University. He holds a diploma (1999) and doctorate (2002) from the University of Karlsruhe (now KIT). His research focuses on network protocols, cybersecurity, and distributed systems, funded by DFG, ERC, EU, and industry. He leads the DFG Priority Program on Cyber-Physical Networking and holds ERC grants. Awards include Südwestmetall and FZI Dissertation Prizes. He serves on IEEE, ACM, and DFG committees. His work spans protocol engineering, network simulation, and reliable communication software. He advises the Department of Computer Science at RWTH and collaborates on projects like In-Network Computing and Industrial IoT security. His research addresses industrial systems, smart grids, and privacy-preserving data sharing.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Ioannis Maniadis Metaxas is a lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. He teaches undergraduate and postgraduate courses including Artificial Intelligence, Machine Learning, and Machine Learning for Visual Data Analysis. His research focuses on: Unsupervised representation learning Computer vision systems Large vision-language models Deep clustering techniques Generative models for data augmentation E-commerce personalization systems Recent publications demonstrate consistent focus on efficient learning methods for visual data, particularly investigating unsupervised pretraining, cluster optimization, and model fine-tuning approaches. His work shows progression from foundational 3D data augmentation to cutting-edge vision-language model optimization.

Tania Morimotoمشاهده پروفایل

دانشیار

• Robotics
• Medical Robotics
• Soft Robotics
• +۳ مورد دیگر

Tania Morimoto is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California San Diego. Her research focuses on the design and control of flexible and soft robots for medical and exploration applications, including personalized surgical robots and intuitive human-in-the-loop interfaces. She leads efforts in haptic device development for education, notably creating the Hapkit and H3Kit systems used in STEM labs globally. She holds a B.S. in Mechanical Engineering from MIT, and M.S. and Ph.D. from Stanford University's CHARM Lab. Her work bridges robotics, haptics, and medical engineering, with key innovations in continuum robot design, wireless sensing, and surgical teleoperation systems. Key research areas include soft robotics for minimally invasive surgery, wearable haptic devices, and scalable pneumatic control systems. Her team has developed novel methods for patient-specific robot design using preoperative medical imaging, along with virtual reality interfaces for surgical planning. Notable achievements include the NSF CAREER Award (2022) for work on handheld continuum robots, and contributions to wireless force sensing technologies. Her educational initiatives have expanded access to hands-on robotics learning through low-cost hardware kits adapted for remote instruction.

Paria Shiraniمشاهده پروفایل

استادیار

• Cybersecurity
• IoT Security
• Vulnerability Research
• +۴ مورد دیگر

Paria Shirani is an Assistant Professor and Tier 2 Canada Research Chair in Cybersecurity at the School of Electrical Engineering and Computer Science (EECS), University of Ottawa. She holds a PhD in Information Systems Engineering from Concordia University (FRQNT Doctoral Scholarship recipient) and completed an NSERC Postdoctoral Fellowship at Carnegie Mellon University (CMU). Her research focuses on cybersecurity, including IoT security, vulnerability detection, malware analysis, threat intelligence, and AI/ML applications. She leads funded projects across undergraduate, master’s, PhD, and postdoctoral levels, emphasizing equity, diversity, and inclusion (EDI). Research Highlights: Develops AI-driven solutions for IoT security and vulnerability detection. Pioneers binary code fingerprinting and firmware analysis techniques. Advances threat intelligence through machine learning and anomaly detection. Key awards include the NSERC Postdoctoral Fellowship, FRQNT Doctoral Scholarship, and the Tier 2 Canada Research Chair. Collaborations involve institutions like Concordia University, Carnegie Mellon University, and IBM’s Cyber Range. She actively serves on editorial boards (e.g., ACM Computing Surveys) and organizes conferences (e.g., SecureComm, PST).

Sarah Harrisمشاهده پروفایل

استاد

• Computer Architecture
• FPGA Design
• RISC-V Systems
• +۳ مورد دیگر

Sarah Harris is Professor and Undergraduate Coordinator in the Department of Electrical and Computer Engineering at University of Nevada, Las Vegas. Her research focuses on computer architecture education, FPGA-based systems, and hardware implementations of neural networks. Research areas include: RISC-V architecture education tools FPGA-based hardware design Embedded AI systems Computer engineering pedagogy Her publication portfolio shows strong focus on educational innovation with 7 publications (2021-2024) on RISC-V teaching tools and MOOCs, alongside hardware implementations of neural networks and contributions to bioinformatics tools. Earlier work includes digital design fundamentals and memory systems.