جست‌وجوی استاد و پژوهشگر

Sashikumaar Ganesanمشاهده پروفایل

استاد

• Scientific Machine Learning
• Physics-Informed Neural Networks
• High-performance computing
• +۷ مورد دیگر

Prof. Sashikumaar Ganesan is a Professor at the Indian Institute of Science (IISc), Bangalore, where he leads the AI for Research and Engineering eXcellence (AiREX) Lab. He also serves as the Founder and Chief AI Officer of Zenteiq AiTech Innovations and has held leadership positions including Chairman of the CDS Department (2018-2024) and Programme Director for Advanced Programs in Gen AI, Computational Data Science and AI, and AI & MLOps since 2020. His research interests include: Scientific Machine Learning (SciML) Physics-Informed Neural Networks (PINNs) High-performance computing Hardware-aware numerical methods Machine Learning Operations (MLOps) Computational Science Prof. Ganesan's work focuses on integrating scientific computing with machine learning to advance AI applications in scientific and engineering domains. His research spans AI for aerospace and defense applications, scientific machine learning, MLOps frameworks, and computational science including finite element analysis and fluid dynamics modeling. He has developed science-native Foundation Models through his company Zenteiq.ai to enhance AI-driven R&D in aerospace and defense sectors. His significant projects include the Indo-German Partnership Program (2020-2024) focused on hardware-aware numerical schemes for multi-GPU supercomputers and the Shell India project on Large Scale Simulation augmented by AI for wind turbine farms. He has mentored over 25 students and published more than 60 works, including the book 'Finite Elements: Theory and Algorithms' (Cambridge University Press, 2017). Prof. Ganesan teaches courses including 'Generative and Agentic AI in Practice' (2025), 'AI and Machine Learning' (2024), and 'High-Performance Computing and Data Science,' while also contributing to societal discourse through COVID-19 projections featured in major Indian media outlets.

Christos Kozyrakisمشاهده پروفایل

استاد

• Computer Architecture
• Computer Systems
• Cloud Computing
• +۶ مورد دیگر

Christos Kozyrakis is a Professor in the Departments of Electrical Engineering and Computer Science at Stanford University. His research focuses on computer architecture, computer systems, and cloud computing, with contributions to energy-efficient systems, machine learning infrastructure, and database-oriented operating systems. He leads the MAST research group and directs the Stanford Platform Lab. Education: Bachelor's Degree in Computer Science, University of Crete PhD in Electrical Engineering and Computer Sciences, University of California, Berkeley Research Interests: Kozyrakis explores cloud management, machine learning systems, energy-efficient architectures, and hardware-software co-design. Notable projects include DBOS (a database-oriented OS), the MAST group's work on serverless computing and storage systems, and energy-proportional data center design. Awards: ACM SIGARCH Maurice Wilkes Award ISCA Influential Paper Award NSF Career Award Okawa Foundation Research Grant ACM and IEEE Fellowships Advising & Grants: Supervised over 20 PhD and master's students, with notable alumni contributing to academia and industry. Supported by NSF, DARPA, SRC, Google, Microsoft, and other industry collaborations. Labs & Teams: Leads the MAST research group and directs the Stanford Platform Lab, focusing on cutting-edge systems research and prototyping.

Vijay Krishnaمشاهده پروفایل

استاد

• Economic Theory
• Industrial Organization
• Computer Engineering
• +۳ مورد دیگر

Vijay Krishna is a Distinguished Professor of Economics at Penn State University and serves as the Job Market Placement Director in the Department of Economics. His academic career includes a Ph.D. in Economics from Princeton University (1983), an M.A. in Economics from Delhi University (1978), and a B.A. in Mathematics from Delhi University (1976). His research focuses on Economic Theory and Industrial Organization , with recent interdisciplinary contributions in electronics and computer engineering. Notable areas include ferroelectric devices, memory storage technologies, and hardware security. He has also explored neural network architectures and energy-efficient computing systems. Recent publications (2023–2025) highlight innovations in cryogenic logic gates, nonvolatile memory systems, and hybrid neural networks. His work often bridges theoretical economics with applied engineering, reflecting cross-disciplinary collaboration. Awards and grants are not explicitly listed in the provided materials, but his extensive publication record underscores sustained academic engagement. Professor Krishna advises on job market placements for economics PhD students and maintains an active role in academic administration. His research group explores cutting-edge technologies in both traditional economic theory and emerging computational fields.

Aaron D Lantermanمشاهده پروفایل

استاد

• Radar Systems
• Image Reconstruction
• Target Recognition
• +۲ مورد دیگر

Aaron D Lanterman is Professor at Georgia Institute of Technology's School of Electrical and Computer Engineering. He holds triple B.S. degrees in music, computer science and electrical engineering (1993), plus M.S. (1995) and D.Sc. (1998) in electrical engineering from Washington University. Research spans radar systems, image reconstruction, target recognition, music synthesis, and signal processing. Recent work focuses on statistical inference methods, astronomical imaging, audio circuit analysis, and radar target identification. Honors include the 2006 Richard M. Bass Teaching Award and NIC Certificate of Excellence for intelligence community contributions. Active in IEEE and SPIE societies with chair roles at SPIE Aerosense conference. Industry experience includes concert promotion, recording engineering, and editorial roles in music publications. Maintains keyboard/guitar performance practice alongside technical research.

• Topological Quantum Computing
• Spintronics
• Iontronics
• +۵ مورد دیگر

Dr. Guo-Xing Miao is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, with affiliations to the Institute for Quantum Computing. His research focuses on spintronics, iontronics, and topological quantum computing, emphasizing novel materials and devices for energy-efficient information processing. He holds a BSc from Shandong University (1999), a PhD from Brown University (2006), and postdoctoral experience at MIT (2011). Key research areas include spiontronics, memristors, neuromorphic computing, and the development of advanced nanoelectronic systems. He has been recognized with the 2017 Ontario Early Researcher Award. Dr. Miao is active in professional organizations such as IEEE, MRS, and APS, and teaches courses ranging from semiconductor physics to quantum circuits. Education: BSc, Shandong University, 1999 PhD, Brown University, 2006 Research Scientist, MIT, 2011 Recent Teaching: ECE 231: Semiconductor Physics and Devices (2023) ECE 405D: Superconducting Quantum Circuits (2025) NANO 601: Characterization of Nanomaterials (2022–2025) Research Highlights: Design of spin-based quantum computing architectures Development of iontronic memory devices Interfacial engineering in resistive switching systems His lab focuses on merging spin and ion dynamics to create next-generation devices, with a particular emphasis on scalable fabrication techniques. Dr. Miao actively supervises graduate students and maintains Sole-Supervisory Privilege Status (SSPS) for doctoral admissions.

Phillip Kronthalerمشاهده پروفایل

مدرس

• Control Engineering
• Mechatronics
• Robotics
• +۴ مورد دیگر

Phillip Kronthaler is affiliated with UMIT TIROL and MCI | The Entrepreneurial School, where he teaches advanced control engineering courses. He holds a Dr. techn. (PhD) in Engineering Sciences from UMIT TIROL and has extensive experience as a Research Assistant in mechatronics and electrical engineering. His work includes roles as a systems engineer and hardware developer, bridging academic research with industrial applications. Education: Dr. techn., Doctoral Programme Engineering Sciences, UMIT TIROL, 2014–2022 Dipl.-Ing., Mechatronics, UMIT TIROL & LFU-Innsbruck, 2012–2014 BSc Mechatronics, UMIT TIROL & LFU-Innsbruck, 2009–2012 Research focuses on model-based control systems, optimization of robotic processes, and adaptive impedance control in industrial settings. His work emphasizes practical applications in robotics, automation, and precision engineering. Award highlights include a Teaching Award (1st Place), Best Paper Award at VDI Fachtagung Mechatronik, and certifications in academic teaching. His publications span conferences such as IFAC Symposium on Mechatronic Systems and IEEE CASE, addressing topics like trajectory planning and vibration reduction. He has advised no listed students but contributes to academic teaching and research teams at UMIT TIROL and MCI. His research often involves collaborations on high-precision robotic systems and semiconductor industry automation.

• Fault-Tolerant Computing
• Digital Circuit Design
• Embedded Systems
• +۳ مورد دیگر

Jakob Lechner is an External Lecturer in the Computer Engineering department at Vienna University of Technology. His work focuses on fault-tolerant digital circuit design, asynchronous systems, and robust hardware architectures. Education : PhD in Computer Engineering (2014), Diploma in Computer Engineering (2008) Research interests include: Fault-tolerant computing Asynchronous circuit design Transient error mitigation in FPGAs Triple Modular Redundancy (TMR) Metastability containment Single Event Transients (SET) resilience His publications (2006–2018) emphasize fault injection techniques, robust GALS circuits, and asynchronous communication protocols. Key projects include Intel CARS (2017–2019) on delay-insensitive codes. Supervision : Guided K. D. Pados' thesis on AXI4 bus systems (2013).

Alan Kanمشاهده پروفایل

مدرس

• Hearing Technology
• Signal Processing
• Spatial Hearing
• +۶ مورد دیگر

Dr. Alan Kan is an Honorary Lecturer in the School of Engineering at Macquarie University, affiliated with the Hearing Research Centre and Future Communications Research Centre. He holds roles across multiple institutions, including past positions at the University of Wisconsin-Madison as a Research Associate and Assistant Scientist, and a Lecturer in the Department of Communication Sciences and Disorders there. His research focuses on hearing technology, spatial hearing, and cochlear implants, with a strong emphasis on audio virtual reality and biomedical signal processing. Education: PhD in Engineering from the University of Sydney (2010). Teaching includes digital systems units (ELEC2042, ELEC3042, etc.) and software design modules at Macquarie. Previously taught electroacoustic instrumentation calibration at UW-Madison. Research interests span signal processing, auditory neuroscience, and computational modeling. Recent projects include the PRISM study (2023–2026) on predicting interaction difficulty and the MOSAIC project (2023–2024) on motion and sound sensors for communication analysis. He serves on the editorial board of the Journal of Speech, Language and Hearing Research and contributes to the Acoustical Society of America. Grants and collaborations involve interdisciplinary teams focusing on hearing technology and sensor applications. Active in editorial and review roles for journals and conferences in signal processing and acoustics. Labs/Teams: Collaborates within the Hearing Research Centre and Future Communications Research Centre at Macquarie, engaging with global networks in auditory neuroscience and biomedical engineering.

Claudio Chamonمشاهده پروفایل

استاد

• Condensed Matter Physics
• Topological Materials
• Quantum Computing
• +۳ مورد دیگر

Claudio Chamon is a Professor at Boston University, specializing in condensed matter physics and quantum computing. His research focuses on electron fractionalization in topological systems, quantum spin liquids, and fractonic behavior. He holds a Ph.D. in Theoretical Physics from MIT, along with M.S. and B.S. degrees in Electrical Engineering and Aeronautics/Astronautics, also from MIT. His work bridges theoretical and experimental condensed matter physics, with contributions to topological materials, quantum phase transitions, and quantum information science. Key research areas include topology-driven fractionalization in graphene-like structures, non-Abelian gauge theories, and quantum computing applications such as encrypted operator computing. Chamon has pioneered studies on Majorana zero modes in nanowire networks and braiding non-Abelian anyons in photonic systems. His experimental collaborations aim to realize topological qubits and quantum spin liquids in programmable devices. He has received prestigious awards including the American Physical Society Fellowship, Alfred P. Sloan Fellowship, and NSF CAREER Award. Chamon’s recent work explores quantum circuit complexity, fracton dynamics, and secure computation on encrypted data, leveraging tensor networks and combinatorial symmetries.

• Creative Technologies
• Multimedia Design
• 3D Modelling and Animation
• +۴ مورد دیگر

Saul Cross is a Lecturer (Teaching and Scholarship) in the Department of Computer Science at the University of York. He serves as the Postgraduate Programme Leader (Online) for Data and AI and leads the Data and AI Team. His roles include supporting online MSc programmes, assessment, content development, and library resource management. Qualifications: MSc in Creative Technologies (Leeds Metropolitan University) and HND in Audio-Visual Design and Communication (University of Huddersfield). Research and Teaching Interests: Focuses on creative applications of computer systems in visual design, audio-visual production, 3D modelling, animation, music production, and digital sound synthesis. Explores AI applications, data modelling, and societal impacts of computing technologies. Personal interests include retro computing, game design, and media culture. Career: Over 19 years in education, previously working as a multimedia designer, developer, and project manager in higher education. Responsible for hardware/software systems specification and maintenance in prior roles. University Roles: Additional STAMP Committee member, contributing to academic governance and program development.

• Internet of Things Security
• Lightweight Security Systems
• Authentication Protocols
• +۲ مورد دیگر

Dr. Sye Loong Keoh is an Associate Professor in the School of Computing Science at the University of Glasgow (Singapore campus) and Director of Research Programmes. He holds a PhD in Computing from Imperial College London and previously served as Senior Scientist at Philips Research Eindhoven. Research focuses on cyber-security for Internet of Things, including lightweight authentication protocols, key management schemes, and end-to-end communication security. Recent work explores data provenance in IoT environments and security for building management systems. Recent publications demonstrate strong focus on machine learning applications in transportation (38%), IoT security (25%), and educational technology (25%), with emerging work in adversarial robustness and formal methods. Research consistently bridges theoretical security concepts with practical implementations in smart cities and industrial systems. Leads cybersecurity research activities at University of Glasgow Singapore where his team has developed multiple authentication protocols for IoT and industrial control systems. Research funded by National Cyber Security Centre, EPSRC, Meta Reality Labs, and PETRAS National Centre.

Adam Tothمشاهده پروفایل

دانشیار

• Biomechanics
• Neuroscience
• Sensory Motor Control
• +۷ مورد دیگر

Adam Toth is an Associate Professor in biomechanics and neuroscience at the University of Limerick, affiliated with the Department of Physical Education & Sport Sciences. He serves as programme manager of the Esports Science Research Lab within Lero – the Irish Software Research Centre, and is a member of the Sports and Human Performance Research Centre and Health Research Institute. His work intersects human physiology, cognitive neuroscience, and gaming analytics. Adam earned his PhD in neurophysiology and biomechanics from the University of Guelph, Canada. His research focuses on sensory motor control in esports athletes, cognitive benefits of action video gaming, balance mechanisms in aging populations, and neurostimulation techniques like galvanic vestibular stimulation and tDCS to enhance motor learning. His publications highlight expertise in esports biomechanics, AI-driven performance prediction, and cognitive fatigue studies. Collaborations span neuroscience, sports science, and software engineering. He lectures on modules including SS4312 and BR4071, and has presented internationally at TEDx events.

Joseph McKayمشاهده پروفایل

دانشیار

• Interactive Art-Games
• VR/AR Development
• Computer History
• +۳ مورد دیگر

Joseph McKay is an Associate Professor of New Media at Purchase College (SUNY), specializing in interactive art-games and digital media. He holds a BFA from Nova Scotia College of Art & Design (1993) and an MFA from UC Berkeley (2007), with additional studies at the Whitney Independent Study Program (2000-2001). His work bridges fine art and playful interactivity, focusing on video games as modern storytelling mediums. He teaches courses like Experimental Game Lab, Programming for Visual Artists, and Physical Computing. Key research areas include VR/AR development, computational art, and the intersection of technology with everyday life. Notable projects include Awwful Tree Farmer (2024), Peckish (2023), and Zamboni Simulator . He has exhibited widely, including at MoMA, Berkeley Art Museum, and The Wrong Biennale. Awards include the Juanita & Joseph Leff Distinguished Professorship (2016–17) and the Eisner Award (2006). As an educator, he emphasizes hands-on technical skills and conceptual innovation. His exhibitions often explore themes like environmental interaction, surveillance, and playful critique of technology. He previously taught at UC Berkeley, Stanford, and Diablo Valley College, and directed the Woodstock Digital Media Festival (2011–2012).

Uğur Teğinمشاهده پروفایل

استادیار

• Photonics
• Nonlinear Optics
• Optical Computing
• +۶ مورد دیگر

Uğur Teğin is an Assistant Professor at Koç University's Department of Electrical and Electronics Engineering, specializing in photonics and the integration of optics with artificial intelligence. His research focuses on nonlinear dynamics in optical systems, particularly the generation and application of high-power ultrashort pulses in photonic technologies. He leads the Laboratory of Photonic Technologies (LPT), exploring areas such as optical computing, photonic neural networks, and spatiotemporal fiber dynamics. Education: BSc and MSc from Bilkent University, PhD from École Polytechnique Fédérale de Lausanne (EPFL), and postdoctoral research at Caltech. His research interests span 'Optics for AI and AI for Optics,' emphasizing novel applications of nonlinear wave dynamics. Key projects include scalable optical learning operators, spatiotemporal chaos-based neural networks, and real-time control of multimode fiber dynamics using AI. Recent work highlights include breakthroughs in optical computing through multimode fibers and the development of fiber-based diffractive neural networks. His research has been featured in Nature Computational Science , Nature Machine Intelligence , and Optica , alongside coverage in The Economist . Dr. Teğin collaborates actively on grants related to nonlinear photonics and advises on cutting-edge photonic technologies. His lab (LPT) focuses on translating theoretical advancements into practical photonic solutions for computing and imaging.

• Turbulence
• Geophysical Magnetic Fields
• Astrophysical Magnetic Fields
• +۳ مورد دیگر

Prof. Daniel P. Lathrop is a Professor of Geology at the University of Maryland, College Park. His research focuses on turbulence, geophysical/astrophysical magnetic fields, and nonlinear dynamics. He leads the Nonlinear Dynamics Laboratory, conducting experiments in liquid sodium models of planetary cores and magnetic dynamo action. Key projects include the Three-Meter Liquid Sodium Spherical Couette Experiment to simulate Earth's outer core dynamics. His work integrates geophysics, fluid dynamics, and advanced instrumentation with applications in environmental monitoring (e.g., methane flux measurement) and UXO detection via UAV-based geophysical systems. Recent collaborations explore quantum computing hardware, stochastic systems, and machine learning for predictive modeling of complex phenomena. Education: Ph.D. in Physics from University of Texas at Austin (1991) Research interests span experimental fluid dynamics, magnetic field amplification, granular material behavior under magnetic fields, and interdisciplinary applications of nonlinear physics. His lab innovates in geophysical sensing technologies, including magnetic gradiometry and multi-modal UAV platforms. Publications highlight advancements in dynamo experiments, magnetic anomaly detection, and novel approaches to computational hardware leveraging stochastic magnetic systems. Awards and recognitions are not explicitly listed in provided materials.