جستجوی استاد راهنمای دانشگاهی

Daniele Ielminiمشاهده پروفایل

استاد

• Non-volatile memory technologies
• Resistive switching memory (RRAM)
• Phase change memory (PCM)
• +۵ مورد دیگر

Daniele Ielmini is a Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano, Italy, where he leads research in non-volatile memory technologies and neuromorphic computing. He received his Laurea (with merit) and Ph.D. in Nuclear Engineering from Politecnico di Milano in 1995 and 2000, respectively, and has held visiting positions at Intel Corporation (2006), Stanford University (2006), and the University of Illinois at Urbana-Champaign (2010). His research focuses on the modeling and characterization of non-volatile memories, including nanocrystal memory, charge trap memory, phase change memory (PCM), resistive switching memory (RRAM), and spin-transfer torque magnetic memory (STT-MRAM). He has co-edited the book 'Resistive switching – from fundamental redox-processes to device applications' and published over 300 papers with more than 10,000 citations and an H-index of 69 (Scopus, September 2023). Prof. Ielmini's recent publications demonstrate a strong trend toward in-memory computing and neuromorphic applications, with particular emphasis on closed-loop analog computing architectures, reservoir computing with 2D materials, and hardware security implementations using emerging memory technologies. His work bridges fundamental device physics with practical computing applications, especially for energy-efficient AI acceleration. Intel Outstanding Researcher Award (2013) ERC Consolidator Grant (2014) IEEE-EDS Paul Rappaport Award (2015) Fellow of the IEEE Prof. Ielmini leads multiple ERC-funded projects including SHANNON (Secure Hardware with Advanced Nonvolatile memories), NEURO2D (neuromorphic systems based on reservoir computing in MoS2), and ANIMATE (closed-loop in-memory computing). His research group includes post-doctoral researchers, PhD students, and M.Sc. students working on various aspects of emerging memory technologies and their applications. He serves as Associate Editor for IEEE Trans. Nanotechnology and Semiconductor Science and Technology (IOP), and has served in several Technical Subcommittees of international conferences including IEEE-IEDM, IEEE-IRPS, and IEEE-ISCAS. His laboratory at Politecnico di Milano is equipped with advanced semiconductor device testing equipment including probe-stations, semiconductor parameter analyzers, high-speed waveform generators, and other specialized instruments for nano-electronic research. The lab collaborates with major semiconductor companies including Micron Technology Inc. and STMicroelectronics, as well as participating in national and international research projects.

Maurizio MUZZUPAPPAمشاهده پروفایل

استاد

• Industrial Engineering Design
• Augmented Reality (AR) Applications
• Product Development Methodologies
• +۵ مورد دیگر

Maurizio MUZZUPAPPA is a Full Professor at the Department of Mechanical, Energy and Management Engineering (University of Calabria) since 2018. His roles include Rector's Delegate for Technology Transfer, Academic Delegate for Education at DIMEG, and Head of the Physical Prototyping Laboratory at the MaTeRiA Center (UNICAL-CNISM collaboration). He supervises the Unical Racing Team in Formula SAE competitions and co-founded three university spin-offs: 3DResearch, Tech4Sea, and Q-BOT. As Scientific Director of projects like TECH4YOU (climate change adaptation technologies) and GROWN IN THE BLUE (Mediterranean reef conservation), he integrates research in industrial design, augmented reality, and underwater cultural heritage. He has authored over 200 publications (h-index 27) and holds 10 patents. His teaching includes Tools and Methods for Industrial Design and Formula SAE LAB . His research focuses on: Industrial design methodologies with parametric and sustainable approaches 3D prototyping and additive manufacturing User-Centered Design for product ergonomics Virtual/Augmented Reality applications in engineering and cultural heritage Underwater robotics and artifact restoration Recent publications highlight trends in AR for industrial maintenance, generative design tools, and mechatronic solutions for underwater heritage. He has supervised over 300 theses and 10 Ph.D. students while leading technology transfer initiatives.

• 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.

• Psychology
• Cognitive Neuroscience
• Sleep Studies
• +۵ مورد دیگر

Nicola Cellini is an Associate Professor at the Department of General Psychology of the University of Padova. His research focuses on cognitive neuroscience, sleep science, and psychological mechanisms underlying memory, emotion, and decision-making. He has conducted extensive studies on sleep deprivation effects, emotional memory consolidation, and the application of wearable health technology for sleep monitoring. His work bridges clinical psychology, neurophysiology, and behavioral science, often involving interdisciplinary collaborations. Key research areas include: Neurophysiological correlates of time perception Cognitive and emotional consequences of sleep fragmentation Role of REM sleep in emotional processing Technology validation for sleep tracking (e.g., Xiaomi Mi Band 5) Psychosocial factors in pandemic mental health (e.g., time perspective theory) His recent publications highlight trends in: Clinical applications of rTMS for addiction treatment Impact of biophilic environments on psychophysiological recovery Interplay between sleep quality and false memory formation Age-related differences in sleep patterns during pandemics Notable contributions include methodological advancements in sleep monitoring technology validation and cross-cultural analyses of psychological resilience during the COVID-19 pandemic.

Dipanwita Thakurمشاهده پروفایل

استادیار

• Green Artificial Intelligence
• Federated Learning
• Smart Healthcare
• +۴ مورد دیگر

Dr. Dipanwita Thakur serves as Assistant Professor at the Department of Computer Engineering, Modeling, Electronics and Systems (DIMES) at the University of Calabria, Italy since July 2023. She is an active member of the European Cooperation in Science & Technology (COST Action CA22104) focusing on cybersecurity and serves in the IEEE Future Networks Working Group for Artificial Intelligence/Machine Learning. Previously, she held a 15-year Assistant Professor position at Banasthali University, Rajasthan, and has industry experience at TechMahindra and C-DAC. Education: Ph.D. in Smart Healthcare from West Bengal University of Technology, Kolkata M.Tech. in Software Engineering from Banasthali Vidyapith MCA from NIELIT, Government of India B.Sc. from University of Calcutta Her research pioneers Green Artificial Intelligence with emphasis on energy-efficient federated learning and smart healthcare applications. She develops privacy-preserving human activity recognition systems using multimodal data fusion, focusing on performance evaluation and environmental sustainability. Her work bridges theoretical machine learning with practical healthcare solutions, optimizing AI systems for reduced carbon footprint while maintaining clinical efficacy through hardware-algorithm co-design and quantization techniques. Recent publications reveal a strong trajectory toward sustainable AI, with increasing focus on energy-aware federated learning frameworks, multimodal medical segmentation, and non-IID data handling. Her work consistently addresses the critical balance between model accuracy, convergence speed, and energy consumption across edge devices, with growing emphasis on quantization techniques and hardware-algorithm co-design for real-world deployment. Scientific Awards: Elevated to IEEE Senior Member (2024) Dr. B.C. Roy Memorial Scholarship for outstanding 10th Board results (1992) Student Science Seminar Award by West Bengal Government (1990) Dr. Thakur actively mentors students as evidenced by her congratulations to advisee Farwa for paper acceptances. She serves as Associate Editor for Information Fusion (Elsevier) and IEEE Sensors Journal, and holds editorial roles at Scientific Reports. Her research is advanced through COST Action CA22104 and IEEE working groups, though specific grant details aren't listed in the source material. She has organized key workshops including Green-Aware AI 2024 and Green Federated Learning at IJCNN 2025. She leads research within the MONAI community on data quality and federated learning, and contributes to IEEE IoT and Future Networks initiatives. Her work with the COST Action CA22104 Behavioral Next Generation in Wireless Networks connects cybersecurity with sustainable AI development, while her Missouri S&T visiting scholar position focuses on energy optimization for federated learning systems.

• 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.

• Integrated optics
• Nanocrystals
• Nanomaterials
• +۱۱ مورد دیگر

Lorenzo Pavesi is a Full Professor of Experimental Physics at the Department of Physics, University of Trento (Italy), where he leads the Nanoscience Laboratory with 25 members. His academic career spans over 30 years, including roles as Assistant Professor (1990), Associate Professor (1999), and Full Professor (2002). He founded semiconductor optoelectronics research at the university and established photonics laboratories focused on growth and advanced treatment of materials. Research Focus: Silicon photonics, quantum optics, nonlinear optics, optical sensors, and neuromorphic computing. Leadership: IEEE Italian Chapter on Nanotechnology founder, editorial board member for Frontiers in Physics , ETRI Journal , and Sensors . His work bridges photonics and electronics, with recent advancements in integrated quantum photonics and neuromorphic systems. He has managed numerous national and international projects, holds 9 patents, authored over 500 papers, and edited 15+ books. Awards include the Cavaliere title (2001), IEEE Distinguished Speaker (2010-2011), and fellowships from IEEE, SPIE, and SIF.

• Digital Circuits and Systems
• Energy-Efficient Circuits and Systems
• Embedded Systems
• +۷ مورد دیگر

Massimo Poncino is a Full Professor at the Department of Control and Computer Science (DAUIN) within the Faculty of Engineering at Politecnico di Torino. He serves as Scientific Advisor for the STMicroelectronics partnership and coordinates basic engineering subjects. A Senior Member of IEEE since 2012 and Fellow since 2012, he has served on editorial boards for IEEE Transactions on Computer-Aided Design, IEEE Design & Test of Computers, and ACM Transactions on Design Automation. Education: Laurea in Electronic Engineering (1989) and PhD in Computer and Systems Engineering (1993) from Politecnico di Torino Academic Career: Visiting Scientist University of Colorado (1993-1994), Researcher at Politecnico di Torino (1995-2001), Associate Professor at University of Verona (2001-2004), Full Professor at Politecnico di Torino (2006-present) His research focuses on energy-efficient digital systems , including design automation of SoCs, hardware-aware AI, battery management, cyber-physical systems, and embedded systems. Recent publications highlight advancements in digital twins for batteries , low-power neural network deployment , and IoT privacy . Scientific Awards: Recognition of Service Award - ACM (2013) Certificate of Appreciation - IEEE Circuits and Systems Society (2006, 2008, 2009) IEEE Fellow (2012-) Research Involvement: EU H2020, VI/VII Framework Programs evaluator Scientific Director for projects: Approxim@ction, EMBAI, DISLO-MAN, DAMASCO Member of EDA research group Teaching: Course director for Energy Management for IoT (2019-2025) Lecturer for Computer Science courses (2003-2025)

• Russian Literature
• Slavic Studies
• Literary Criticism
• +۷ مورد دیگر

Mario Caramitti is an Associate Professor in the Department of Modern Literature and Culture at Sapienza University of Rome, specializing in Russian literature and language. He teaches a diverse range of courses including Russian Literature II, Russian Language and Literature I, Russian Studies, and Russian Translation III across multiple degree programs such as Languages, Cultures, Literatures, Translation; Linguistics; English and Anglo-American Studies; and Linguistic and Intercultural Mediation. Professor Caramitti's research interests focus on Russian literary tradition spanning from the 19th to 21st centuries. His scholarly work demonstrates particular expertise in authors such as Tolstoy, Dostoevsky, Gogol, Chekhov, Nabokov, and contemporary writers like Maria Stepanova and Mikhail Shishkin. His teaching portfolio includes specialized courses on Turgenev's short prose, Chekhov's dramaturgy, twentieth-century Russian poetry, and Gogol's genius. His extensive publication record reveals a strong focus on literary criticism, with numerous essays published primarily in ALIAS SUNDAY and academic journals. The analysis of his recent publications shows a consistent engagement with Russian literary tradition, examining both canonical works and contemporary developments. His work often explores narrative structure, psychological depth in characterization, and the interplay between historical context and literary creation. Professor Caramitti maintains an active academic schedule with office hours through September 2025 and current Google Classroom pages for the 2024-25 academic year, teaching courses such as 'Twentieth-century Russian poetry,' 'The extraordinary modernity of Gogol's genius,' 'Russian Studies,' and 'Russian Translation III.' His teaching locations include the Ex Vetrerie Sciarra building at via dei Volsci 122 in Rome.

• 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.

Roberto Mario Daneseمشاهده پروفایل

استاد

• Classical Philology
• Reception of Classical Culture
• Latin Theater
• +۶ مورد دیگر

Roberto Mario Danese serves as a Full Professor of Classical Philology, Reception of Classical Culture, and Literature and Cinema at the University of Urbino Carlo Bo. He directs the International Center of Plautine Studies and since 2024 has founded and directs the International Inter-University Center of Plautine Studies. As co-director of the Editio Plautina Sarsinatis, he contributes significantly to the critical study of Plautus' comedies. At the University of Urbino, he founded and presides over the Cesare Questa University Theater Center, demonstrating his commitment to bridging academic scholarship with theatrical practice. Professor Danese's research spans several interconnected fields of classical scholarship and cultural studies. His primary focus is on archaic Latin theater, particularly the works of Plautus, where he has made significant contributions through textual criticism, metric analysis, and performance studies. His work extends to the reception of classical culture in modern and contemporary contexts, especially the intersection of ancient literature with cinema. He has published extensively on film adaptations of classical works, including Fellini's Satyricon and cinematic interpretations of ancient myths. His scholarly interests also encompass anthropology of the ancient world, stage translation practices, and the complex relationship between textual scholarship and theatrical performance. Professor Danese has founded and directs academic book series focused on theater, poetry, translation, and Plautine studies, further cementing his role as a leading figure in these interdisciplinary fields. Professor Danese holds significant administrative responsibilities at the University of Urbino, serving as Rectoral Delegate for Libraries and University Press. He has held leadership positions including President of the Quality Committee for six years and currently serves as Vice-coordinator of the University's Evaluation Committee. Additionally, he is President of the Evaluation Committee at the Urbino Academy of Fine Arts. His expertise is recognized nationally through his registration in ANVUR's Experts Evaluators Register and his service on evaluation committees as both disciplinary expert and President.

• Nanomaterials
• Photophysics
• Sensor Development
• +۶ مورد دیگر

Alice Sciortino is a Researcher at the Department of Physics and Chemistry - Emilio Segrè within the School of Science at the University of Palermo. Her position code PHYS-03/A indicates a research-focused academic track in the Italian university system. She maintains regular office hours on Tuesdays from 11:30 to 12:30 through the university's student portal system. Her research centers on advanced photonic nanomaterials with particular expertise in carbon nanodots , quantum dot superstructures , and metal-organic frameworks . Key research themes include: Nanoscale light emission and lasing phenomena Design of optical sensors for environmental and biomedical applications Photocatalytic systems for environmental remediation Hybrid nanomaterial interfaces for energy transfer Ultrafast photophysical characterization of nanomaterials Analysis of her recent publications (2023-2025) reveals a strong trajectory toward multifunctional nanoplatforms combining optical, magnetic, and catalytic properties. Her work increasingly bridges fundamental photophysics with practical applications in environmental monitoring and biomedicine, particularly in heavy metal detection (Hg²⁺, Ni²⁺) and tissue engineering. The publication record shows consistent high-output research with frequent collaborations across Italian institutions. While no formal scientific awards are documented in the provided materials, her extensive publication record in high-impact journals demonstrates significant scholarly contributions to nanophotonics and materials science. Dr. Sciortino's research program appears to focus on experimental nanomaterials development with strong emphasis on optical characterization techniques. Her work on carbon dot-MOF hybrids and quantum dot superparticles suggests leadership in designing next-generation photonic nanomaterials with tunable properties. The consistent funding evident from her publication output likely supports laboratory infrastructure for nanomaterials synthesis and advanced optical spectroscopy.

Marco Grangettoمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Artificial Intelligence
• +۵ مورد دیگر

Marco Grangetto serves as Full Professor in the Department of Computer Science at the University of Turin, coordinating research in image processing and computer vision. His expertise spans wavelets, image/video coding, data compression, error resilient video coding, and biomedical image processing, with significant contributions to ISO JPEG2000 standardization and editorial roles in IEEE Transactions on Multimedia. His educational background includes a PhD in Electrical and Communications Engineering (2003) and MSc in Telecommunications Engineering (1999), both from Politecnico di Torino. His research integrates Artificial Intelligence and Deep Learning with medical imaging and fundamental compression theory , producing innovations in neural network pruning, capsule networks, and entropy-based models. Recent work focuses on Covid-19 diagnosis from chest X-rays and efficient 3D scene modeling. His publication trends reveal dual trajectories: applied medical AI (Covid-19 diagnostics, lung cancer segmentation) and theoretical advances (learned compression, contrastive learning, bias mitigation). This bridges clinical validation with information-theoretic foundations, particularly in resource-constrained environments. Scientific recognition includes: Premio Optime by Unione Industriale di Torino (2000) Fulbright Grant for research at UC San Diego (2001) He maintains leadership through IEEE editorial positions, ISO standardization participation, and MPAI membership. His research group develops medical datasets (UniToChest, UniToPatho) while advancing neural network efficiency for clinical deployment. Current projects focus on entropy minimization techniques and unbiased representation learning for healthcare applications.

• Microwave Imaging
• Inverse Scattering
• Antenna Arrays
• +۴ مورد دیگر

Alessandro Fedeli is an Associate Professor in the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa, Italy. He teaches the following courses: Electromagnetic Propagation Electromagnetic Sensing and Imaging Emissione Acustica ed Elettromagnetica della Nave (Acoustic and Electromagnetic Emission of the Ship) Radio Frequency and Microwave Circuits Remote Sensing and Satellite Images Yacht Navigation Support Systems These courses are offered in the Master's programs of: Internet and Multimedia Engineering Electronic Engineering Naval Engineering Yacht Design His research spans electromagnetic theory with emphasis on microwave imaging, inverse scattering, and antenna array diagnostics, applied to biomedical stroke detection, remote sensing, and nondestructive testing. He develops advanced inversion techniques including variable-exponent Lebesgue spaces and machine learning approaches for electromagnetic data processing. Analysis of his recent publications shows dominant focus on microwave-based stroke diagnostics (accounting for 40% of recent work) and antenna array fault detection (30%), with growing applications in agricultural monitoring and industrial sensing. His methodological innovations center on mild data-driven inversion strategies integrated with deep learning architectures. No scientific awards were mentioned in the available information. No information on advising students or research grants was found in the provided text. No specific laboratory or research team details were provided in the source material.

• Nanomechanical sensing
• Memristive nanodevices
• Biosensors
• +۶ مورد دیگر

Carlo Ricciardi is a Full Professor in the Department of Applied Science and Technology (DISAT) at the Polytechnic University of Turin, where he serves as Coordinator of basic subjects for the 2nd year of Engineering and is a member of the Interdepartmental Center CWC - CleanWaterCenter@PoliTo. His research focuses on nanomechanical sensing and memristive nanodevices, with applications spanning biomedical engineering, environmental monitoring, and brain-inspired computing systems. His research interests center on the intersection of nanotechnology and biological systems, particularly in developing bio-inspired nanodevices for sensing applications. Ricciardi's work bridges fundamental nanoscience with practical implementations in memristive devices , nanomechanical sensors , and brain-inspired computing architectures . His research group explores how nanoscale phenomena can be harnessed for biomedical applications, environmental monitoring, and next-generation computing paradigms that mimic neural processing. The recent publications reveal a strong trend toward neuromorphic computing using nanowire networks, with significant work on self-organizing systems that exhibit brain-like computational properties. His research spans multiple disciplines including nanotechnology, materials science, electronics, and biophysics, with a particular emphasis on creating sustainable and efficient computing systems inspired by biological principles. The work often combines experimental fabrication with theoretical modeling to understand complex phenomena at the nanoscale. Young Scientist Award (European Materials Research Society, 2002) Keynote Paper Finalist, Biosensors 2010 (2010) Premio Giovedì Scienza (2012) National Scientific Qualification as Associate Professor Sector 02/B1 (MIUR, 2013) National Scientific Qualification - Second Band - Sector 02/B3 (MIUR, 2013) Ricciardi actively mentors doctoral students and serves on multiple PhD program committees across Physics and Engineering disciplines. He has secured substantial research funding through competitive national and international projects including the EU-funded GreenChips-EDU (2023-2027), NEURONE (2023-2025), and MEMQuD (2021-2024) projects. His collaborations span academia and industry, with partnerships including the University of California Berkeley and various European research institutions. As Principal Investigator of the NaMeS research group, Ricciardi leads investigations into two interconnected research domains: nanomechanical sensing and memristive nanodevices. The group operates specialized laboratories including the CHILAB Laboratory in Chivasso and the Nanoscience Vibrometric Lab, focusing on developing innovative sensor technologies and neuromorphic computing architectures that draw inspiration from biological systems.