جستجوی استاد راهنمای دانشگاهی

• Computer Science
• Music Perception
• Signal Processing
• +۳ مورد دیگر

Thomas Kaplan is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research bridges computational modeling, music perception, and bioengineering with a focus on probabilistic frameworks for understanding rhythmic cognition, cardiovascular signal processing, and FPGA-accelerated genomic analysis. His work explores intersections between cultural influences on musical entrainment and hardware optimization for biological data processing. Key research areas include: Probabilistic models of rhythmic perception and synchronization Enculturated bias in musical expectation FPGA-based acceleration of genomic algorithms Cardiovascular signal analysis using neural networks Recent publications demonstrate cross-disciplinary contributions, spanning music cognition studies in Nature Human Behaviour to bioengineering advancements in Bioinformatics . While no explicit awards are listed, his research portfolio reflects sustained innovation in computational methods across multiple domains. Advising and grants: While specific student names and grant details are not documented here, his involvement with Queen Mary's research groups suggests active participation in interdisciplinary projects. His lab affiliations include collaborations within the school's Signal Processing and Communications group, focusing on applied machine learning solutions for both cultural and biomedical challenges.

Alexey Tumanovمشاهده پروفایل

استادیار

• Machine Learning
• Distributed Systems
• Resource Management
• +۴ مورد دیگر

Alexey Tumanov is an Assistant Professor in the School of Computer Science at Georgia Institute of Technology, part of the College of Computing. His research focuses on systems for machine learning, resource management, and scheduling in distributed environments. He holds a PhD from Carnegie Mellon University and conducted postdoctoral research at UC Berkeley under Ion Stoica. Previously, he worked at the University of Toronto and in industry on cloud computing and datacenter systems. Education: PhD in Computer Science, Carnegie Mellon University (2019) Postdoc, UC Berkeley RISELab (2019) MSc in Computer Science, University of Toronto (2012) BSc in Computer Science, University of Toronto (2010) Research Interests: Tumanov's work addresses challenges in distributed machine learning, including efficient resource management for inference and training pipelines, scheduling algorithms for soft-real-time systems, and federated learning. His lab (SAIL) develops systems like SARATHI-SERVE and RocketKV to optimize LLM inference and co-scheduling. He emphasizes practical deployments in healthcare (HOLMES) and cloud environments. Key Contributions: Ray distributed framework for AI (OSDI 2018) ESCHER scheduler for ephemeral cloud resources (SoCC 2022) InferLine ML pipeline orchestration (SoCC 2020) Awards: NSERC CGS-D3 Scholarship (2016) Best Paper at EuroSys 2016 (TetriSched) Google PhD Fellowship Nominee (2018) Lab & Teaching: Leads the Systems for Artificial Intelligence Lab (SAIL) at Georgia Tech. Teaches advanced courses on operating systems (CS3210) and systems for ML (CS8803-SMR). Supervises 15+ graduate students across PhD and MS programs.

Kankar Bhattacharyaمشاهده پروفایل

استاد

• Power Systems
• Electricity Markets
• Energy Storage Systems
• +۵ مورد دیگر

Dr. Kankar Bhattacharya is a Professor and Chair of the Department of Electrical and Computer Engineering at the University of Waterloo, Canada, where he also holds a University Research Chair. He earned his PhD in Electrical Engineering from IIT Delhi (1993) and has held academic positions at institutions including Chalmers University of Technology (Sweden) and the Indira Gandhi Institute of Development Research (India). His research focuses on power system operations, electricity markets, energy storage integration, and smart grid technologies. Dr. Bhattacharya has received prestigious awards such as the IEEE Canada Silver Medal and is a Fellow of both IEEE and the Canadian Academy of Engineering. He has authored over 150 peer-reviewed publications and serves as an associate editor for IEEE journals. His teaching spans graduate courses like Power System Operations and Electricity Markets, and he has led industry-funded research projects on topics including microgrid management and ancillary service markets. Dr. Bhattacharya also contributes to professional organizations such as CIGRE, shaping global standards for electricity markets and grid integration. Educations: PhD, Electrical Engineering, Indian Institute of Technology Delhi (1993) Masters, Electrical Engineering, Birla Institute of Technology (1988) Bachelor's, Electrical Engineering, G.B. Pant University (1986) His research interests include power system economics, renewable energy integration, demand response mechanisms, and distributed energy resources. Recent work explores decarbonized microgrids and hydrogen system participation in markets. Dr. Bhattacharya has advised numerous graduate students and oversees major infrastructure like the EMSOL laboratory for energy market simulations.

• Cybersecurity
• Computer Science
• Information Security
• +۶ مورد دیگر

Nuno Mateus Coelho is an Associate Professor at Lusófona University and an Invited Associate Professor at the Polytechnic Institute of Cávado and Ave, specializing in Cybersecurity. He holds a PhD in Computer Science (Cybersecurity) from the University of Trás-os-Montes e Alto Douro and is a certified European Commission expert in Information Security projects. His professional roles include Cyber Security Adviser at Faurecia Automotive and Nanium Group, CEO of NRMC.PT, and Judicial Expert at the Ministry of Justice. He is also the Editor-in-Chief of the ARIS2 Journal and Director of the LAPI2S Lab. Education: PhD in Computer Science (Cybersecurity) – University of Trás-os-Montes e Alto Douro (2020) MSc in Computer Engineering (Cybersecurity) – Instituto Superior de Engenharia do Porto (2015) BSc in Information Systems Engineering – Instituto Superior de Línguas e Administração (2010) Ongoing Postdoctoral Research in Cybersecurity at Lusófona University Research Interests: Cybersecurity frameworks (e.g., CyberSoc, PCSRA) Blockchain and cryptographic systems (e.g., ChevroCrypto) AI-driven cybersecurity solutions Paranoid Operating Systems for privacy Healthcare cybersecurity and pandemic response (e.g., Vent2Life project) Key Projects & Grants: Lead WP5 of the Horizon 2020-funded CyberSecPro project Recipient of the INNCYBER Innovation Award (2021) for best European research Vent2Life: Repaired 200+ ventilators during the COVID-19 crisis General Chair of the iSCSi International Conference Media & Public Engagement: Regular cybersecurity commentator on CNN Portugal and TVI Keynote speaker at Web Summit, IEEE, and TEDx events Author of opinion columns on cybersecurity trends

Jehoshua Bruckمشاهده پروفایل

استاد

• Information Theory
• Distributed Storage Systems
• DNA Data Storage
• +۴ مورد دیگر

Jehoshua (Shuki) Bruck is the Gordon and Betty Moore Professor of Computation and Neural Systems & Electrical Engineering at the California Institute of Technology. He leads the Distributed Information Systems Group and serves as the founding director of Caltech's Information Science and Technology (IST) program. His work bridges information theory, storage systems, and computational biology. Bruck holds B.Sc. (Summa cum Laude) and M.Sc. degrees from the Technion-Israel Institute of Technology (1982-1985) and a Ph.D. in Electrical Engineering from Stanford University (1989). He has held academic positions at Caltech since 1994, advancing from Associate Professor to Moore Professor. Research Focus: His dual-track research explores Physical implementations of coding schemes for flash memories (rank modulation, rewriting codes) Biological computation mechanisms, particularly DNA sequence evolution via replication Secure distributed storage systems and RAID schemes Awards & Recognition: Recipient of the Feynman Teaching Prize (2008), Sloan Fellowship, NSF Young Investigator Award, and multiple IEEE best paper awards. Holds over 40 patents and authored 350+ publications. Industry Contributions: Co-founder of storage startups Rainfinity (acquired by EMC) and XtremIO, which pioneered flash storage solutions. Collaborates with NASA-JPL on non-volatile memory for space missions.

Sharmistha Bhadraمشاهده پروفایل

استادیار

• Wearable Electronics
• Biomedical Sensors
• Flexible Electronics
• +۳ مورد دیگر

Sharmistha Bhadra is an Assistant Professor at McGill University, specializing in wearable electronics, biomedical sensors, and flexible optoelectronics. Her research focuses on developing innovative sensor systems for health monitoring, including intraoral wearables, flexible organic photodetectors, and wireless biomedical devices. She has contributed to advancements in biodegradable batteries, motion artifact reduction techniques, and low-power sensor interfaces. Her work integrates materials science, circuit design, and biomedical applications, with notable projects like smart mouthguards for electrooculogram monitoring, printed RFID tags for food quality sensing, and flexible power management systems. Bhadra's research emphasizes practical implementations of sensor technologies in real-world medical and environmental contexts. Key areas of innovation include: 1) Wearable health monitoring systems (e.g., wristbands for vital signs), 2) Printed and flexible electronics for biomedical applications, 3) Organic photodetectors for ambient light sensing, and 4) Passive wireless sensing technologies. Her publications span journals like IEEE Transactions on Biomedical Circuits and Systems, demonstrating interdisciplinary contributions to both hardware and algorithmic aspects of sensor systems.

• Computer Hardware Design
• Smart Cities
• Cybersecurity
• +۶ مورد دیگر

Dr. Issam Damaj is a Senior Lecturer in Computer Science at Cardiff Metropolitan University's Department of Applied Computing and Engineering. He holds a PhD from London South Bank University (2004), an MSc from the American University of Beirut (2001), and a BSc from Beirut Arab University (1999). His academic journey includes 17 years in professorial roles across universities in Lebanon, Kuwait, and Oman. Research & Expertise Fields of Interest: Hardware design, smart cities, cybersecurity, electric vehicles, and technical education. Key Projects: FPGA implementations of chaotic systems, vehicular network caching, and sustainable e-mobility infrastructure. Leadership Roles: ABET Program Evaluator, IEEE Senior Member, and founding counselor of the AUK IEEE Student Branch. Recent Research Trends His recent work spans intelligent systems for healthcare hygiene, cybersecurity in multinational operations, and FPGA-optimized algorithms. Themes include IoT-driven solutions, blockchain integration for recommendations, and sustainable energy systems. Recognition & Awards Recipient of multiple awards in mentoring, research, and academic distinction. Second Place in the Best Student Branch Award (2017, AUK IEEE). Collaborations & Impact Dr. Damaj collaborates with global institutions and industries to bridge academic research with real-world applications in engineering education and technology innovation.

• Additive Manufacturing
• Energy Applications
• Electrochemical Systems
• +۴ مورد دیگر

Dr. Hao Zhang is a Researcher at the School of Engineering, University of Edinburgh, affiliated with the Fleeming Jenkin Research Institutes (Materials and Processes department). His research focuses on additive manufacturing, electrochemical systems, and energy applications, with particular emphasis on structured materials for energy storage and conversion. He explores advanced manufacturing techniques like 3D printing to design hierarchical components for improved efficiency in fuel cells, batteries, and CO₂ utilization systems. Research interests include: 3D-printed electrode design Electrochemical energy systems modeling Sustainable chemistry via AI-driven approaches CO₂ conversion and utilization Microfluidic technologies for material synthesis His work bridges materials science, chemical engineering, and renewable energy, aiming to develop scalable solutions for clean energy challenges. Recent studies address challenges in solid oxide electrolysis cells, photoelectrochemical water splitting, and high-efficiency microfluidic fuel cells. Dr. Zhang collaborates on interdisciplinary projects involving materials characterization (e.g., operando microscopy), catalyst development, and process optimization. His lab focuses on combining additive manufacturing with electrochemical engineering to create next-generation energy systems.

• Battery Systems Design
• Power Electronics
• Electric Vehicles (EVs)
• +۶ مورد دیگر

Jorge Varela Barreras is an Honorary Research Fellow at Imperial College London (2023) and an EV and Battery Expert at CTAG since 2021. He holds a PhD in Engineering from Aalborg University (2017) and master’s degrees in Electrical Engineering and Power Electronics. His roles include IEEE Senior Member (2024), Maria Zambrano Fellow at UPC (2022), and former postdoc at Imperial College and the University of Oxford. He has over 15 years of R&D experience in battery systems, EVs, and renewable energy applications. Education: M.Sc. in Electrical Engineering (University of Vigo, 2010), M.Sc. in Power Electronics (Aalborg University, 2009), PhD in Engineering (Aalborg University, 2017). Research interests span design, control, and testing of battery systems, EVs, and energy storage. His work focuses on thermal management, battery degradation, and safety, with contributions to hybrid balancing systems and BMS optimization. Notable awards include IEEE Senior Member (2024), Honorary Research Fellowship (2023), and the STFC Batteries Early Career award (2017). He has co-authored over 40 publications, including 16 journal articles, and supervised 2 PhD students. Advising/Grants: Involved in £80M+ projects, 2 as Principal Investigator. Delivered 3 IEEE tutorials, 19 keynotes, and 20 final-year projects. Editor for eTransportation and World Electric Vehicle Journal . Labs/Teams: Collaborations with The Faraday Institution, Imperial Consultants (ICON), and industry partners like Triple Solar. Visiting researcher at RWTH Aachen, FEUP, and INESC TEC.

Nj Mukherjeeمشاهده پروفایل

پژوهشگر

• Systems
• Computer Science
• Operating Systems
• +۳ مورد دیگر

Nj Mukherjee is a Researcher in the Computer Science Department at Carnegie Mellon University, holding the role of Doctoral Research Assistant. Advised by Professor George Amvrosiadis, their work focuses on advancing systems research with an emphasis on memory management, file systems, and storage optimization. Key projects include innovations in TLB utilization via Mosaic Pages and SSD-optimized file systems like BetrFS. Contact details include office 6507 in the Gates and Hillman Centers and email nirjhar@cmu.edu . Research Interests Nj’s systems research explores cutting-edge challenges in memory hierarchy design, external-memory data structures, and storage efficiency. Their work spans theoretical algorithmic contributions (e.g., Affine/PDAM models) to practical system implementations addressing modern hardware constraints. Recent efforts include rethinking paging strategies for low-associativity caches and optimizing file system cloning through Copy-on-Abundant-Write mechanisms. Advising & Grants As a doctoral student, Nj collaborates closely with their advisor on foundational systems research. No specific grant funding details are disclosed in the provided information.

Dimitrios Skarlatosمشاهده پروفایل

استادیار

• Computer Architecture
• Security and Privacy
• Operating Systems
• +۱ مورد دیگر

Dimitrios Skarlatos is an Assistant Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. His research bridges computer architecture and operating systems with a focus on performance, security, and scalability. His work revolves around two central themes: (1) redesigning abstractions and interfaces between hardware and OS layers to improve performance and scalability, and (2) uncovering security vulnerabilities and building defenses at the hardware-OS boundary. Research Focus: Operating system security and vulnerability prevention Virtual memory systems and page table optimizations Serverless computing architectures Hardware-software co-design for security Datacenter resource management Dr. Skarlatos advises five PhD students and has published extensively on systems research. He received his PhD from the University of Illinois at Urbana-Champaign, where his dissertation received the ACM SIGARCH & IEEE CS TCCA Outstanding Dissertation Award for contributions to redesigning hardware-OS abstractions.

Todd Mowryمشاهده پروفایل

استاد

• Computer Architecture
• Systems
• Databases
• +۳ مورد دیگر

Todd Mowry is a Professor in the Computer Science Department at Carnegie Mellon University, affiliated with the School of Computer Science. His research focuses on enhancing microprocessor-based system performance through parallelism exploitation, including single-chip multiprocessing and latency mitigation strategies. He leads initiatives like the STAMPede project, addressing challenges in compiler-driven parallelization and hardware-software co-design. His work spans computer architecture, systems, and databases, with a strong emphasis on compiler optimization, memory management, and scalable computing. Mowry has advised students including Sam Arch, Patrick Coppock, Hongyi Jin, Ruihang Lai, and Eliot Solomon. He teaches advanced courses such as 15745 (Fall 2025) and 15418 (Spring 2025), contributing to graduate-level education in computer systems. Recent research highlights include innovations in machine learning optimization (e.g., Relax framework), efficient LLM microservices, and architectural solutions for thread-safe metadata management. His publications address topics like UDF optimization, auto-batching in neural networks, and energy-minimal dataflow systems. Mowry's projects often involve collaboration across academic and industrial partners, driving advancements in both theoretical and applied computer systems. He has contributed to frameworks like CORA for tensor compilation and NVOverlay for non-volatile memory systems, emphasizing practical scalability and efficiency.

Larry Rudolphمشاهده پروفایل

استاد پژوهش

• Mobile Computing
• Pervasive Computing
• Computer Networks
• +۷ مورد دیگر

Larry Rudolph is a Research Professor at the Massachusetts Institute of Technology (MIT), affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL). He holds the role of Principal Research Scientist and has been a key contributor to projects like the Oxygen Research Group and the Computational Structures Group (CSG). His academic journey includes roles as a Full Professor at the Hebrew University of Jerusalem and postdoctoral research at the University of Toronto. Rudolph specializes in pervasive computing, mobile systems, and virtualization, with notable contributions to Bluetooth technology and location-aware computing. He has advised numerous students and pioneered courses such as MIT's 6.883 Pervasive Human-Centric & Mobile Computing. Education: PhD in Mathematics, Courant Institute, NYU (1977-1981) Postdoc in Computer Science, University of Toronto (1981-1982) Research Faculty, Carnegie-Mellon University (1982-1986) Full Professor, Hebrew University (1986-1997) Research Interests include mobile device virtualization, privacy in pervasive systems, and adaptive algorithms for personal data management. He co-founded Redigi, a marketplace for digital music resale, and led VMware's Mobile Virtualization Project. His work emphasizes experimental approaches to computer science, integrating hardware and software innovations. Notable Projects: Bluetooth Essentials for Programmers (book, 2007) Oxygen Research Group (2000-2005) Virtualization and pervasive computing systems Advising and Collaborations: Guided over 15 students to completion of Master’s and PhD theses Co-organizer of DOE Supercomputer Valuation and Workshop on Job Scheduling Contributions to CSAIL and NECSI (New England Complex Systems Institute) Labs/Teams: Active in CSAIL's Pervasive Computing initiatives and Oxygen sub-projects. Current focus includes mobile phone security, privacy-aware systems, and adaptive learning frameworks for personal data tagging.

Daniel Sanchezمشاهده پروفایل

استاد

• Computer Architecture
• Systems & Networking
• Parallel Computing
• +۵ مورد دیگر

Dr. Daniel Sanchez is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT), where he leads the Computation Structures Group within the Computer Science and Artificial Intelligence Laboratory (CSAIL). His research focuses on computer architecture, scalable systems, and memory hierarchies, with particular emphasis on multicore and many-core systems, quality-of-service guarantees, and runtime systems. Education: Ph.D. in Electrical Engineering, Stanford University (2012) M.S. in Electrical Engineering, Stanford University (2009) B.S. in Telecommunications Engineering, Technical University of Madrid (UPM) (2007) Research Interests: Dr. Sanchez’s work spans computer architecture innovations such as cache partitioning (KPart), software-defined caches (Jenga), and accelerators for sparse computing (Azul, Terminus). He designs systems that enhance performance, energy efficiency, and scalability in modern computing environments. His projects include the Swarm Architecture for ordered parallelism and architectures supporting fully homomorphic encryption. Articles Trends: Recent publications emphasize accelerators for sparse algorithms, cryptographic hardware (e.g., Fully Homomorphic Encryption), and high-performance computing. His work bridges hardware-software co-design to tackle challenges in irregular applications, memory hierarchies, and secure computing. Awards & Grants: No scientific awards explicitly listed, but his work has been recognized in top conferences (e.g., MICRO, ISCA). Advising & Teaching: He advises over 20 Ph.D. and master’s students, including current advisees Axel Feldmann and Hyun Ryong Lee. He teaches courses like 6.5900 Computer System Architecture and 6.191 Computation Structures at MIT. Labs & Teams: Leader of the Computation Structures Group at MIT CSAIL, collaborating with researchers like Joel Emer, Srini Devadas, and Armando Solar-Lezama. His team explores cutting-edge architectures and systems for next-generation computing.

Valeria Bertaccoمشاهده پروفایل

استاد

• Computer Architecture
• Hardware Security
• Reliability Engineering
• +۷ مورد دیگر

Valeria Bertacco is the Arthur F. Thurnau Professor of Electrical Engineering and Computer Science at the University of Michigan, where she has been since 2003. She also serves as Vice Provost for Engaged Learning, overseeing international partnerships and co-curricular programs. She holds an adjunct professorship at the Addis Ababa Institute of Technology, Ethiopia. Her research focuses on computer design, reliability, hardware security, and specialized architectures for future applications like AI. Education: M.S. and Ph.D. in Electrical Engineering from Stanford University (1998, 2003), and a Computer Engineering degree from the University of Padova, Italy (1995, summa cum laude). Research Interests: Sustainable silicon systems, energy-efficient computing, hardware security with privacy guarantees, specialized accelerators for graph analytics and AI, and post-silicon validation methodologies. She directs the Applications Driving Architectures (ADA) Research Center, a multi-institutional effort supported by semiconductor consortia. Awards: IEEE Fellow, ACM Distinguished Scientist, NSF CAREER Award, IEEE CEDA Early Career Award, and multiple university service awards. Labs & Teams: Leads the ADA Center and the Bertacco Lab, which develop tools like CrashTest, FunSAT, and benchmark suites like DyGraph and MilSpec. Collaborates internationally, including with African academic institutions. Teaching: Courses in computer organization, logic design, and correctness for embedded systems. Supervises over 130 students across 10 institutions through ADA. Grants & Partnerships: Funds include SRC consortium support. Oversees U-M’s international initiatives, making it a leader in student global engagement.