جستجوی استاد راهنمای دانشگاهی

David Dotyمشاهده پروفایل

استاد

• Molecular computing
• Algorithmic self-assembly
• Chemical reaction networks
• +۸ مورد دیگر

David Doty is a Professor in the Department of Computer Science at the University of California, Davis . His research focuses on the intersection of molecular systems and computation , exploring how natural processes like chemical reactions , DNA nanotechnology , and self-assembly can perform computation. He also investigates connections to theoretical computer science, including distributed computing and algorithmic information theory . Doty's work bridges physics , chemistry , and biology through rigorous computational models like the Tile Assembly Model and Population Protocols . His research program includes software development ( scadnano , ppsim ), theoretical analysis, and collaborations with experimentalists. He teaches courses on theory of computation and molecular computing , and has advised numerous students in his research group. His publications cover topics such as algorithmic self-assembly , chemical reaction networks , and thermodynamic binding networks , with a focus on understanding fundamental computational and physical limits. Key software tools developed by his group include scadnano for DNA design and ppsim for population protocol simulations. Doty's recent research trends explore rate-independent chemical computing , error correction , and stochastic modeling in molecular systems. Current academic activity includes teaching ECS 120 (Undergraduate Theory of Computation), ECS 220 (Graduate Theory of Computation), and ECS 232 (Theory of Molecular Computation). He maintains a research lab in 2306 Academic Surge and continues to publish in leading conferences like DNA Computing and CMSB .

Damien Woodsمشاهده پروفایل

استاد

• DNA Computing
• Molecular Programming
• Self-Assembly
• +۳ مورد دیگر

Professor Damien Woods is a faculty member at Maynooth University's Faculty of Science & Engineering, specifically affiliated with the Department of Computer Science and the Hamilton Institute. He leads groundbreaking research in DNA computing, molecular programming, and optical computing, focusing on self-assembly, algorithmic design, and computational complexity. ERC Consolidator Grant: 'Computationally Active DNA Nanostructures' SFI ERC Support Award EIC Pathfinder Challenge Grant: 'DISCO - DNA Infrastructure for Storage and Computation' His research projects explore programmable DNA storage, molecular robotics, and robust self-assembly systems. Recent publications span diverse topics like algorithmic DNA tile assembly, thermodynamic stability, and computational universality in nanosystems. Awards include ERC and SFI grants, with a focus on bridging theoretical computer science and experimental molecular biology. Scientific Contributions include: 2022: 'Turning Machines' - Molecular Robotics 2019: 'Diverse Molecular Algorithms' in Nature 2017: 'A Cargo-Sorting DNA Robot' in Science

• CAD tools
• Digital architectures
• Emerging technologies
• +۹ مورد دیگر

Giovanna Turvani is an Associate Professor at the Department of Electronics and Telecommunications (DET) at Politecnico di Torino, with affiliations in both the College of Electronic, Telecommunications and Physics Engineering and the College of Computer, Film, and Mechatronics Engineering. Scientific Branch: IINF-01/A - Electronics ERC Sectors: PE7_4, PE7_11, PE6_1, PE6_14, PE7_3 SDG Goals: Quality Education, Gender Equality, Affordable Energy, Industry Innovation Her research focuses on advanced electronics and quantum technologies, including: Logic-in-memory computing Quantum computing architectures Microwave imaging for medical and agricultural applications CAD tools for emerging nanotechnologies Embedded systems for bee health monitoring IoT solutions for bio-waste valorization Publications show strong expertise in quantum computing, nanocomputing, and microwave imaging, with recent trends emphasizing quantum optimization frameworks, in-memory architectures, and IoT-based agricultural technologies. She supervises PhD students in areas like quantum machine learning algorithms, predictive on-board systems, and quantum hardware design. Collaborations span multiple disciplines, including medical device development and agricultural electronics. Patents include innovations in microwave imaging, racetrack memory logic functions, and in-memory computing devices.

• CMOS integrated circuits
• Computer architecture
• Electrical and electronic engineering
• +۱۲ مورد دیگر

Maurizio Zamboni is a Full Professor at the Department of Electronics and Telecommunications (DET) at the Polytechnic University of Turin, where he also serves as Student Ombudsman. His academic career spans over three decades with continuous teaching and research contributions in electronics and computing fields. Professor Zamboni's research interests focus on cutting-edge areas including CMOS integrated circuits, computer architecture, quantum computing, semiconductor devices, and VLSI design. His work particularly emphasizes emerging nanotechnologies for digital microelectronic architectures and the design of high-performance or low-consumption processing systems. He has developed expertise in circuit architectures for probabilistic computing, logic-in-memory computing, magnetic devices, and quantum architectures. His recent publications (2021-2025) reveal a strong trend toward quantum computing applications, in-memory processing architectures, and novel approaches to overcoming the memory wall problem. These works span both theoretical algorithm development and practical hardware implementations, with significant focus on quantum annealing, FPGA-based quantum emulation, and memory-mapped processing architectures. Professor Zamboni has been actively supervising PhD students working on quantum computing algorithms, hardware AI accelerators for automotive applications, and quantum-related optimization approaches. He leads research within the VLSILAB Group at DET, focusing on the intersection of nanoelectronics, quantum computing, and advanced computer architectures. His work bridges theoretical computer science with practical electronic design, creating novel solutions for next-generation computing challenges.

• Electrical and Electronic Engineering
• Electronic Circuits
• Electronics for Agrifood
• +۹ مورد دیگر

Umberto Garlando is a Fixed-Term Assistant Professor and Researcher at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino (PoliTO) . He is also a member of the Interdepartmental Center PIC4SeR (PoliTO Interdepartmental Centre for Service Robotics). His academic role focuses on integrating electronics with agritech applications. Current positions: Fixed-Term Assistant Professor (Law 240/10 art.24-a) Department: Electronics and Telecommunications (DET) Research centers: PIC4SeR Garlando's research spans Electrical and Electronic Engineering , Smart Electronic Systems , and Sustainable Agriculture . He specializes in Agritech applications, including sensor systems for plant health monitoring , smart irrigation systems , and tracking systems for the food chain . His work also explores Nanocomputing , particularly CAD tools for emerging technologies . Recent publications highlight his contributions to low-power integrated circuits for agricultural monitoring, IoT-based water stress detection , and energy-autonomous sensor systems for plant impedance analysis. These works reflect his focus on precision agriculture and sustainable farming technologies . Garlando currently supervises PhD students Vincenzo Giannone and Luca Rolle in Electrical, Electronics, and Communications Engineering . His teaching responsibilities include Embedded Systems Integration and Sensors and Data Transmission/IoT for Agriculture at both Electronic Engineering and Agritech Engineering programs.

• Logic-in-memory
• Machine learning
• Nanocomputing
• +۷ مورد دیگر

Marco Vacca is an Associate Professor in the Department of Electronics and Telecommunications (DET) at Politecnico di Torino and a member of the Interdepartmental Center PIC4SeR - PoliTO Interdepartmental Centre for Service Robotics. His work bridges electronics, nanotechnology, and computing architecture with a focus on innovative solutions to the memory wall problem. His research spans Logic-in-memory computing, Machine learning hardware acceleration, and Nanocomputing with specific emphasis on circuit architectures for probabilistic computing, magnetic devices, hybrid technologies integration, and CAD tools for emerging technologies. Dr. Vacca leads research in RISC-V extensions, hardware accelerators for AI, and autonomous robot systems for agricultural applications through the VLSILAB research group. Recent publications reveal a strong trend toward solving fundamental computing challenges through nanoscale innovations, particularly in memory-centric architectures, molecular field-coupled computing, and novel transistor technologies. His work demonstrates how logic-in-memory approaches can overcome traditional von Neumann limitations while improving energy efficiency for AI workloads. Editorial board member of ELECTRONICS (2021-2023) Program committee member for Design, Automation and Test in Europe Conference (DATE) 2020-2021 Dr. Vacca supervises PhD student Alessandro Varaldi working on 'Hardware AI Accelerators for Automotive Applications' and has led significant research projects including 'Device for Storage and Processing Data and Related Method' (2020-2021) and 'Quantum Computing and Quantum Communication: State of the Art and Applications in the Telco Sector' (2020). His grant portfolio shows strong industry and competitive funding support. As a core member of the VLSILAB research group, Dr. Vacca contributes to advancing VLSI theory and design applications with particular focus on implementing Big Data, Machine Learning, and Neural Networks in specialized hardware architectures that push the boundaries of conventional computing.

R. Iris Baharمشاهده پروفایل

استاد

• Computer Architecture
• Low Power Design
• Machine Learning
• +۵ مورد دیگر

R. Iris Bahar is a Professor of Computer Science and Engineering at Colorado School of Mines, where she serves as Department Head of Computer Science since 2022. Previously, she held dual appointments as Professor of Engineering and Computer Science at Brown University for 26 years. Her research focuses on energy-efficient and reliable computing across system-level to device-level domains, with applications in near-data processing, robust machine learning for robotics, and noise-immune nanoscale circuit design. Research Interests include computer architecture, low-power design, and robotic system optimization. She pioneers hybrid generative-discriminative inference techniques for robot scene perception, achieving 40% accuracy improvements in occluded environments through FPGA-based Monte-Carlo sampling implementations. Her work on subthreshold CMOS noise modeling provides 1000x simulation speedups over SPICE-based methods. Near-Data Processing Architectures Approximate Computing Hardware/Software Co-design Nanoscale Noise Modeling Robust AI for Robotics Scientific Awards include the 2024 IEEE Undergraduate Teaching Award, 2019 Marie R. Pistilli Women in Engineering Achievement Award, and NSF CAREER award. She is an IEEE Fellow and ACM Distinguished Scientist. Funded Research spans NSF grants on thermal noise effects ($360k), durable data structures ($500k), and Brown SEED grants for autonomous robotics. Her lab trains 12+ students in hardware acceleration and probabilistic computing.

Aida Todri-Sanialمشاهده پروفایل

استاد

• Energy-Efficient Circuits
• Quantum Computing
• Neuromorphic Computing
• +۴ مورد دیگر

Aida Todri-Sanial is a Full Professor in the Integrated Circuits group of the Electrical Engineering department at Eindhoven University of Technology (TU/e). She leads the NanoComputing Research Lab and is affiliated with the Center for Quantum Materials and Technology Eindhoven (CQMT-E), EAISI, and the Integrated Circuits group. Her research focuses on energy-efficient circuits, novel computing paradigms (e.g., 3D integration, neuromorphic computing, quantum computing), and nanotechnology-driven architectures. Education: PhD in Electrical and Computer Engineering, University of California Santa Barbara (2009) Bardeen Fellow at Fermi National Accelerator Laboratory (2009–2010) Scientist/Research Director at CNRS (2011–2021) Visiting Fellow at the University of Cambridge (2016–2017) Research Interests: Dr. Todri-Sanial’s work integrates physics and electronics to design unconventional computing systems. Key areas include: Physical design optimization for energy efficiency Oscillatory neural networks (ONNs) for edge AI Quantum computing hardware and error mitigation 3D integration and monolithic-3D architectures Nanomaterials (e.g., VO₂, MoS₂) for neuromorphic and sensing applications Awards & Grants: ERC Consolidator Grant THERMODON (2023) NWO AiNed Fellowship (2024) NWO Quantum Technology Grant (2024) CNRS Bronze Medal (2016), IBM Quantum Open Science Prize (2021), and IEEE Distinguished Lecturer (2022) Labs & Teams: Principal Investigator of the NanoComputing Research Lab Lead researcher in EAISI (Eindhoven Artificial Intelligence Systems Institute) Collaborator with global institutions (e.g., IBM, STMicroelectronics)

• Molecular electronics
• Nanoelectronics
• Quantum computing
• +۸ مورد دیگر

Mariagrazia Graziano is an Associate Professor at the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, where she also serves as Director of the Teaching and Language Lab (TLLab). Her academic career spans multiple institutions, including her involvement with doctoral colleges at the University of Palermo for 'Technologies and Methods for University Education' from 2022-2025. Her research interests are at the forefront of nanotechnology and quantum computing, focusing on areas including: Molecular field-coupled nanocomputing Logic-in-memory computing architectures Quantum hardware design and optimization Single-molecule devices for logic and memory applications Nanomagnetism and spintronics Micro-for-Nano (M4N) Systems for Single Molecule Sensors Dr. Graziano's work bridges fundamental physics with practical applications in electronics, with particular emphasis on next-generation computing paradigms that address the memory-wall problem and explore alternatives to traditional von Neumann architectures. Her research has significant implications for fields ranging from molecular electronics to quantum information processing. Her recent publications demonstrate a strong focus on molecular field-coupled nanocomputing, quantum optimization techniques, and single-molecule device modeling. These works reveal a consistent research trajectory toward developing novel computing architectures that leverage quantum effects and molecular-scale phenomena to overcome limitations of conventional semiconductor technology. Dr. Graziano has received notable recognition including the prestigious Marie Curie Intra-European Fellowship for Career Development from the European Commission (2014). She serves as Associate Editor for FRONTIERS IN ELECTRONICS (since 2022) and JOURNAL OF COMPUTATIONAL ELECTRONICS (since 2019), and has participated in program committees for major conferences including the IEEE Design Automation and Test Conference Europe. As an advisor, Dr. Graziano mentors numerous PhD students working on cutting-edge research in quantum computing, molecular electronics, and nanotechnology. Her supervision spans multiple doctoral programs at Politecnico di Torino, with students exploring topics from quantum algorithms for urban traffic optimization to single-molecule junctions for next-generation electronics. Additionally, she leads several research projects including TENS (Toward Excellence in Nanocharacterisation of single-molecule Sensors) and previously served as Scientific Leader for the Quantum Computing e Quantum Networking project. Dr. Graziano is actively involved in the VLSILAB research group, where she contributes to advancing the state-of-the-art in electronic design and nanoscale computing technologies. Her work on patents, particularly the 'Device for Realizing Boolean Logic Functions XOR XNOR Inside Racetrack Memory,' demonstrates her commitment to translating theoretical research into practical technological innovations.

Darko Stefanovicمشاهده پروفایل

استاد

• Programming Languages
• Molecular Computing
• Scientific Simulations
• +۳ مورد دیگر

Darko Stefanovic is a Professor of Computer Science (and courtesy faculty in Chemical & Biological Engineering) at the University of New Mexico. He has been continuously active in teaching and research since at least 2000, with a focus on programming languages, molecular computing, and scientific simulations. University: University of New Mexico Department: Department of Computer Science Academic Rank: Professor His research interests span molecular computing , DNA nanotechnology , and synthetic biology , with recent publications exploring applications in artificial β-cells , heterochiral translators , and reservoir computing with chemical systems . Many publications involve collaborations with researchers in biochemistry, nanotechnology, and systems biology. Teaching activities include numerous offerings of courses such as Compiler Construction , Programming Paradigms , Software Foundations , and Algorithms and Data Structures at both undergraduate and graduate levels. Course materials often emphasize functional programming (e.g., Standard ML), λ-calculus, and logic programming implementations. Recent publications (2025–2019) demonstrate ongoing work in molecular robotics , DNA-based computation , and synthetic cell engineering . These works frequently appear in venues related to biomolecular computing , nanotechnology , and synthetic biology . Teaching Career spans multiple decades at UNM, covering topics from foundational programming to advanced compiler construction. Course materials show emphasis on formal methods, programming language theory, and computational models, including implementations of λ-calculus interpreters and Prolog systems.

• Electronics
• Nanocomputing
• Quantum Technologies
• +۱۲ مورد دیگر

Fabrizio Riente is a Fixed-term Researcher at the Department of Electronics and Telecommunications (DET) , Politecnico di Torino. He holds academic responsibilities in multiple programs and contributes to editorial and conference committees. Member of College of Electronic, Telecommunications and Physics Engineering Invited Member of College of Computer, Film, and Mechatronics Engineering His research spans Nanocomputing , Quantum Technologies , and Machine Learning for environmental and healthcare applications, with a focus on: Qubit Control & Readout Systems IoT for Bee Health Monitoring 3D Audio-Visual Reproduction for Hearing Research Hybrid Simulation and Emerging Nanotechnologies Low-Power Electronic Systems His recent publications demonstrate interdisciplinary work bridging Quantum Electronics and Acoustic Ecology , particularly in developing VLSI architectures for novel applications. Notable scientific awards include Associate Editorship at Frontiers in Electronics and program committee roles at international conferences. He supervises PhD students in Quantum Engineering and Electronic Engineering , directing research projects funded by commercial contracts on quantum architectures and automotive technologies. His teaching portfolio includes courses on Microelectronic Systems and Low-Power Electronics .

Lara LAMONمشاهده پروفایل

پژوهشگر

• Environmental Toxicology
• Regulatory Science
• Computational Toxicology
• +۳ مورد دیگر

Lara LAMON is a Researcher at the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. She specializes in environmental toxicology and regulatory science, with a focus on nanomaterials risk assessment, chemical fate modeling, and computational toxicology. Her work integrates physiologically-based models, in silico methods, and regulatory frameworks to address emerging environmental challenges. Education includes a PhD from Ca' Foscari University (part of the Euro-Mediterranean Centre on Climate Change), a postdoc at ETH Zurich, and international exchanges at the Chinese Research Academy of Environmental Science and the University of Glasgow. She has held roles such as Scientific Support Officer at Greendecision Srl and contributed to EU projects like H2020 GRACIOUS and Nanocomput. Research interests span aggregate exposure modeling, regulatory domain applications (e.g., OSP), and in vitro-to-in vivo extrapolation. Her recent studies focus on chemical emissions in the Venetian Lagoon and nanomaterials' environmental and health impacts. Key methods include advanced fate modeling, fractal techniques, and chemoinformatic approaches. Publications highlight contributions to nanomaterials grouping strategies, read-across methodologies, and climate change effects on pollutants. She has advised on EU regulatory initiatives and participated in interdisciplinary projects linking climate science with environmental chemistry.

R. Stanley Williamsمشاهده پروفایل

استاد

• Nanotechnology
• Electronics
• Nonlinear Dynamical Systems
• +۷ مورد دیگر

R. Stanley Williams is a Professor of Electrical and Computer Engineering and holds the Hewlett Packard Enterprise Company Chair at Texas A&M University's College of Engineering. His research focuses on nanoscale electronics, memristors, nonlinear dynamics, and neuromorphic computing. He has made significant contributions to the discovery and application of memristors, a fundamental electronic component. Williams holds a B.A. in Chemical Physics from Rice University (1974) and a Ph.D. in Physical Chemistry from the University of California, Berkeley (1978). His work bridges physical chemistry, materials science, and electrical engineering. Research Interests Nano-scale electronic/ionic/photonic devices Nonlinear dynamics and chaos Cognition and computation Memristor-based neuromorphic systems Stateful logic and attractor-based computing Key Contributions Williams pioneered the discovery and application of memristors, a fourth fundamental circuit element, and demonstrated their use in neuromorphic computing, defect-tolerant architectures, and analog signal processing. His work has advanced fields like neuromorphic hardware and dynamical Bayesian networks. Awards & Honors Feynman Prize in Nanotechnology (2000) IEEE Outstanding Engineering Manager (2014) EETIMES Electronics Visionary (2012) Labs & Teams His research group at Texas A&M focuses on next-generation computing architectures using memristive devices and nonlinear systems. He collaborates with industry leaders like Hewlett Packard Enterprise to translate fundamental research into applied technologies.

• Molecular electronics
• Nanoelectronics
• Nanophysics
• +۳ مورد دیگر

Yuri Ardesi is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino. His research focuses on molecular electronics, nanoelectronics, and nanophysics with specific applications in field-coupled nanocomputing and sustainable microelectronics education. Scientific sector: IINF-01/A - Electronics ERC sectors: PE3_12 (Molecular electronics), PE3_10 (Nanophysics) SDGs: Quality education, Industry innovation, Responsible consumption Research Highlights include developing computational models for single-molecule optoelectronic devices, investigating field-coupled nanocomputing architectures, and exploring sustainable microelectronics education ecosystems. His recent work analyzes hydrogen passivation for metal deposition and molecular ensemble electrostatics. Scientific Awards Learning to Teach (L2T) Open Badge for educational innovation Teaching Roles span multiple academic years (2019-2025) across: Master's Degree: Technology for Nanoelectronic Systems Bachelor's Degree: Digital Systems Electronics Workshop: Innovative Systems

Cezary Czaplewskiمشاهده پروفایل

استاد

• Coarse-grained molecular modeling
• Protein structure prediction
• Molecular dynamics simulations
• +۳ مورد دیگر

Professor Cezary Czaplewski of the University of Gdańsk is a leading researcher in computational chemistry and coarse-grained molecular modeling. Affiliated with the Faculty of Chemistry and the Department of Theoretical Chemistry , he heads the UNRES server for protein simulations and contributes to projects like Multi-GPU UNRES and MAGENTA . His work bridges physics-based simulations with experimental data integration. Key roles : Professor, Computational Biophysics, University of Gdańsk Projects : EuroHPC PL, Harmonia9, Enerliq, Parylens Research Focus : His research spans coarse-grained modeling , protein structure prediction , and hydrophobic interaction studies , with applications in virology (SARS-CoV-2), antimicrobial peptide design, and large-scale biomolecular simulations. He specializes in GPU-accelerated algorithms and multi-GPU implementations for scalable systems. Teaching : Currently teaches Molecular mechanics & dynamics , Introduction to Python programming , and Parallel programming (Bioinformatics III) . Past courses include Electronic chemical diagnostics and Software in biomacromolecular calculations for PhD students. Scientific Contributions : Developed the UNRES server for polypeptide simulations, extended the UNRES force field to nucleic acids and membrane proteins, and participated in multiple CASP/CAPRI experiments for protein structure prediction. His 2025 publications focus on time-averaged restraints and multi-GPU scalability. Contact : cezary.czaplewski@ug.edu.pl Location : Room B328, Faculty of Chemistry, University of Gdańsk