جستجوی استاد راهنمای دانشگاهی

Enzo Mastinu is an electronic engineer specialized in embedded systems for biomedical applications, holding an Associate Professor qualification in Bioengineering. He earned his bachelor's and master's degrees in electronic engineering from the University of Cagliari and a PhD in biomedical signals and systems from Chalmers University of Technology, Sweden. His research focuses on advanced prosthetics and neuroprostheses for upper limb amputations, incorporating embedded systems design, control algorithms, sensory feedback, signal processing, AI, and osseointegration. Key projects include the HAND and HAND2 initiatives, funded by the EU and the Italian Ministry of Research, aiming to develop semi-autonomous prosthetic hands. He has published 25 journal articles (75% in Q1) and 21 conference papers, contributing to a PCT patent. Mastinu is a Senior Member of IEEE EMBS and RAS, reviews for ~90 journals/conferences, and edits Transactions on Medical Robotics and Bionics (IEEE) and Scientific Data (Nature). He has supervised ~40 students across PhD, master's, internships, and postdocs, and teaches courses in biomedical engineering and STEM education. His scientific awards include the Marie Skłodowska-Curie Fellowship (2021), National Qualification as Associate Professor (2024), and a Young Researcher Grant (2025). Research emphasizes clinical implementation of prosthetics with neural feedback and intuitive control, as highlighted in high-impact journals like the New England Journal of Medicine.

• Biomedical Engineering
• Prosthetics and Neuroprosthetics
• Embedded Systems
• +۴ مورد دیگر

Enrico Macii is a Full Professor at the Politecnico di Torino, affiliated with the Interuniversity Department of Regional and Urban Studies and Planning (DIST) and the Department of Control and Computer Engineering (DAUIN). He leads the Electronic Design Automation (EDA) research group and holds key roles as Scientific Advisor for the Politecnico-STMicroelectronics partnership and Scientific Contact for the European Chips Joint Undertaking. Research Interests: His work spans digital circuits and systems, energy efficiency, smart cities, Industry 4.0, and smart manufacturing. He focuses on embedded and cyber-physical systems, low-power design, neuromorphic computing, AIoT, and sustainable urban development. Recent Publications: His recent research demonstrates strong trends in edge AI, neuromorphic computing, and smart energy systems. Articles highlight innovations in low-power hardware acceleration, federated learning, physics-informed AI, and digital twin applications for urban and industrial systems. There is a clear emphasis on deploying AI efficiently on constrained devices and integrating physical models with machine learning. J. William Fullbright Fellowship (1993) Best paper award IEEE European Design Automation Conference (1996) Best paper award ACM/IEEE Great Lakes Symposium on VLSI (2008) DAC Service Award (2014) IEEE Fellow (2006) DATE Fellow (2014) Advising and Grants: He has supervised over 25 PhD students in computer engineering, AI, and urban systems. His research is funded by major EU programs (Horizon 2020, PNRR, KDT JU), national (PRIN, FAR), and regional grants, as well as industrial contracts with STMicroelectronics, Michelin, and Cefriel. He leads numerous high-impact projects in smart manufacturing, energy efficiency, and digital twins. Labs and Teams: He is a core member of the EDA Group, an interdepartmental research team at Politecnico di Torino focusing on VLSI-CAD, bioinformatics, smart cities, and Industry 4.0. He also contributes to IAM@PoliTo (Integrated Additive Manufacturing) and leads multiple EU and national research consortia.

• Digital Circuits and Systems
• Energy Efficiency
• Smart Cities
• +۱۳ مورد دیگر

Dr. Shervin Shirmohammadi is a Professor at the University of Ottawa's Faculty of Engineering, specifically within the School of Electrical Engineering and Computer Science. With an impressive h-index of 41 and over 6,800 citations across 473 publications, his research has made significant contributions to the fields of computer vision, biomedical instrumentation, and health monitoring systems. His academic journey spans over two decades, beginning with work on communication architectures for virtual environments in 2001 and evolving toward practical healthcare applications. Dr. Shirmohammadi's research interests center on Computer Vision , Image Processing , and Embedded Systems with a strong focus on healthcare applications including nutrition monitoring, mental health assessment, and driver safety systems. His most influential work examines computer vision applications for health monitoring, particularly food calorie measurement systems that use smartphone cameras to analyze nutritional content. His research has evolved to include EEG-based systems for ADHD detection and serious games for autism therapy, demonstrating a consistent trajectory toward practical healthcare solutions using advanced instrumentation techniques. Dr. Shirmohammadi maintains active collaborations with researchers including A. Yassine (118 joint publications), D. Ahmed, Ali Asghar Nazari Shirehjini, and B. Hariri. His publications appear primarily in IEEE Transactions on Instrumentation and Measurement, reflecting his strong connection to the instrumentation and measurement community.

• Computer Vision
• Image Processing
• Health Monitoring Systems
• +۴ مورد دیگر

Igor Simone Stievano is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Electronics and Telecommunications (DET) and the Interdepartmental Center Ec-L - Energy Center Lab . He holds a PhD in Electrical Engineering and has supervised numerous students in disciplines spanning electromagnetic compatibility, machine learning, and multi-energy networks. His research interests include: Modeling and simulation of integrated circuits Machine learning for signal integrity Multi-energy network resilience Stochastic analysis of electrical systems Electromagnetic compatibility Key projects include the EU-funded SHIMMER initiative on hydrogen injection in gas networks and commercial contracts for high-speed I/O macromodeling. He serves as a chair and committee member at major conferences like the IEEE Workshop on Signal and Power Integrity. Scientific recognitions : IEEE Senior Member Recipient of the 2013 Futuro in Ricerca grant Editorial Board member of ENERGIES (2020-) Stievano actively participates in PhD college evaluations for Mathematical Sciences and Metrology programs at Politecnico di Torino, while teaching courses in Electrical Engineering and Digital Technologies across biomedical, computer, and media engineering curricula.

• Electrical Engineering
• Modeling and Simulation
• Machine Learning
• +۵ مورد دیگر

Bernardo Tellini is a Full Professor of Electrical and Electronic Measurements at the Department of Energy, Systems, Land, and Construction Engineering (DESTEC) at the University of Pisa, where he also serves as Vice-Rector for Doctoral Research. He has held this institutional role since 2020, overseeing doctoral program planning, accreditation, and admission procedures. Previously, he chaired the doctoral program in Energy, Electrical, and Thermal Engineering from 2012 to 2016 and served on the Leonardo da Vinci Doctoral School in Engineering from 2008 to 2016. Education: PhD in Electrical Engineering, University of Pisa (1999) Degree in Electrical Engineering, University of Pisa (1993) Postdoctoral research at Karlsruhe Research Center for Technology and Environment Industry experience at ABB Tellini's research focuses on electrical and magnetic measurement methodologies for high-power pulsed applications, characterization of electrical and magnetic properties of materials, aging processes in battery cells, and electromagnetic emissions from power circuits. His work spans from fundamental measurement theory to practical industrial applications, particularly in railway technologies where he represents the University on the Steering Committee of the District for Railway Technologies, High-Speed, and Network Safety in Tuscany. He has served as president of the European Pulsed Power Laboratories agreement and chaired major IEEE conferences including I2MTC 2015 and MELECON 2020. His recent publications reveal a strong emphasis on RFID-based localization systems , nanoparticle-enhanced optical sensors , and advanced battery characterization techniques . The research trajectory shows increasing integration of measurement science with emerging technologies like plasmonic sensing, microwire-based transducers, and smart systems for industrial monitoring. His team has developed innovative approaches for battery health monitoring under vibration stress, temperature sensing using magnetic materials, and precise localization methods using phase-based RFID systems. Professional Service: President of Italian Section of IEEE (2019-2021) Scientific director of Pisa research unit in Association of Electrical and Electronic Measurements (GMEE) Member of Certification Committee of Italcertifer SpA (since 2019) Representative on District for Railway Technologies Steering Committee (since 2013) Tellini has authored approximately 200 publications in international journals and conference proceedings. His leadership extends to academic governance through roles on the DESTEC Department Human Resources Committee and various university committees overseeing scientific qualifications and doctoral programs. His research bridges theoretical measurement principles with practical engineering solutions for energy systems, transportation infrastructure, and industrial monitoring applications.

• Electrical Measurements
• Magnetic Characterization
• Battery Technology
• +۵ مورد دیگر

Giuseppe PAGNONI is an Associate Professor at the Department of Biomedical, Metabolic and Neurosciences of Università di Modena e Reggio Emilia . His research spans neuroscience , computational modeling , meditation , and brain network analysis . He teaches courses such as Neural Systems Modeling for Bioengineering students and Human Physiology and Pathophysiology in Medicine programs, with a focus on predictive coding , default mode network , and emotional valence processing . Pagnoni has contributed to ENIGMA-Meditation , a global initiative exploring meditation's neuroscientific basis, and developed sparse Bayesian models for analyzing brain network individual differences. His work on Alzheimer's disease investigates anosognosia mechanisms through resting-state fMRI, while other studies examine ghrelin's role in obesity-related reward processing and oxytocin's effects on social anxiety . He employs dynamic causal modeling and predictive processing frameworks to study cognitive effort, mind wandering, and neuromorphic learning. His methodological expertise includes functional MRI , independent component analysis , and computational simulations .

• Neuroscience
• Computational Modeling
• Meditation
• +۵ مورد دیگر

Davide Previtali is an Assistant Professor at the University of Bergamo's Department of Engineering. His research focuses on control systems, black-box and preference-based optimization, and lithium-ion battery technologies. He teaches the 'Data science and automation' course (6 CFU). Education: Master’s in Computer Science Engineering (2019), PhD in Engineering and Applied Sciences (2022), both from University of Bergamo Research interests include model predictive control, thermal systems optimization, regenerative braking systems, and integration of biological models with neural networks. Recent work emphasizes energy-efficient industrial processes and algorithms for preference-based optimization with convergence guarantees. Publications span industrial oven modeling, shrink tunnel control systems, and advanced optimization algorithms. He leads the Control systems and Automation Laboratory, focusing on practical applications of control theory in manufacturing and energy systems. Labs/Teams: Control systems and Automation Laboratory

• Control Systems
• Black-Box Optimization
• Preference-Based Optimization
• +۴ مورد دیگر

Marco Farina is a Full Professor in Electromagnetics at the Department of Information Engineering, College of Engineering, Polytechnic University of Marche, Italy. His research spans electromagnetic modeling, scanning microwave microscopy, and nanotechnology, with applications in 2D materials, biosensors, and advanced measurement systems. He is a Senior Member of IEEE and actively contributes to Technical Committees on RF Nanotechnology. Laurea and Ph.D. in Electronic Engineering from University of Ancona Research interests focus on quantitative scanning microwave microscopy, electromagnetic analysis of active/passive components, and nanoscale characterization techniques. His work bridges theoretical modeling with practical implementation, including the development of the EM3DS software suite and novel inverted SMM systems. Recent publications highlight interdisciplinary applications in biomedical analysis and semiconductor physics. Scientific recognition includes the 3M-Nano Best Conference Paper Award and grants from US Army Research Laboratory and US Air Force Office of Scientific Research. He holds an ESA-funded patent for VNA calibration and has co-authored a book on planar structure analysis. Collaborative projects emphasize RF device optimization and biological imaging.

• Electromagnetic Fields
• Scanning Probe Microscopy
• Nanotechnology
• +۴ 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)

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

Federico Delrio is a Ph.D. candidate in Ingegneria Elettrica, Elettronica e delle Comunicazioni (Electrical, Electronic and Communications Engineering) at the Polytechnic of Turin, with a research focus on Machine Learning Enhanced Analysis of ECG and Clinical Data . He is affiliated with the Department of Electronics and Telecommunications (DET) and the Department of Energy (DENERG) , contributing to teaching as a "Docente esterno e/o collaboratore didattico" (External Teacher and/or Teaching Collaborator). His academic journey began with a Master's in Astrophysics at the University of Turin, where he explored Bounds on ultralight axions using the auto-correlation function of neutral hydrogen . Research Interests span Machine Learning Neural Networks Big Data Data Science Biomedical Devices Biomedical Applications . Teaching Contributions include roles in courses such as Electronic Systems Engineering (2024/25 and 2023/24), Silver Economy (2022/23), and Fondamenti di Elettronica di Potenza (2023/24 and 2024/25), emphasizing collaboration and technical instruction. Email Contact : federico.delrio@polito.it Publications reflect his work at the intersection of Machine Learning and Biomedical Engineering , particularly in ECG and PPG signal analysis Cuffless blood pressure monitoring Hybrid deep learning models Neural network applications in clinical settings .

• Machine Learning
• Biomedical Engineering
• Signal Processing
• +۳ مورد دیگر

Leonardo Ricci is an Associate Professor at the Department of Physics, University of Trento , with a 28-year teaching career spanning 56 courses (31 in English) and extensive roles in the Interdepartmental Center for Mind/Brain Sciences - CIMEC (30% affiliation). His research bridges nonlinear dynamics , information theory , and neuroscience , focusing on chaos detection in time series and entropy analysis. Academic Career : From 1994 post-doc at Max-Planck-Institut to 2022 promotion to Associate Professor Teaching : Courses in Experimental Physics, Advanced Electronics, and Statistical Methods across Physics and Computer Science programs Ricci leads the NSE Lab (Nonlinear Systems and Electronics) , developing hardware/software systems for experimental research. His 2022 Entropy cover story on permutation entropy highlights his impact in information theory. Scientific Contributions : 20 patents (visibility measurement devices), collaborations with international researchers on complex systems Editorial Roles : Associate Editor for Chaos, Solitons & Fractals and Frontiers in Network Physiology

• Complex Systems Dynamics
• Information Theory
• Neuroscience
• +۵ مورد دیگر

Dr. Jaime Oscar Casas is an Associate Professor of Electronic Engineering at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Telecommunications and Aerospace Engineering in Castelldefels (EETAC) and the Department of Electronic Engineering. He has held this position since receiving his Doctor Ingeniero de Telecomunicación degree from UPC in 1998, following his 1994 Ingeniero de Telecomunicación degree from the same institution. His research focuses on electronic instrumentation , bioimpedance sensors , and noninvasive physiological measurement systems . He is a key member of UPC's ISI Research Group (Instrumentation, Sensors & Interfaces) and the AGROTECH-UPC Agrofood Technology Research Center . His work bridges biomedical engineering, wearable technology, and precision agriculture, with over 338 documented research activities including articles, patents, and grants. Notable contributions include innovative systems for ECG monitoring, impedance plethysmography, and noninvasive cardiovascular diagnostics. He has led projects funded by EU Horizon 2020, Spanish Ministry of Science, and Catalan Government programs. Awards include the Women in TIC Award 2019 and the Hemav Foundation Awards . He advises engineering students on real-time signal processing and wearable device development. His lab develops low-power medical sensors, smart agricultural monitoring tools, and systems for human-motion analysis with over 70 indexed journal articles and 106 conference presentations. He collaborates with industry partners on projects like the 6G-OpenLab and eSMILE initiative for assistive technologies.

• Electronic Instrumentation
• Biomedical Engineering
• Sensor Interfaces
• +۴ مورد دیگر

Baldassarre D'Elia is a Researcher affiliated with the Department of Bioengineering at University of Roma Tre, associated with BioLab³. He holds a MSc in Electrical Engineering (1992) and PhD from Sapienza University of Rome (1996), followed by postdoctoral research there (2000). Since 2010, he has been involved in the Bioengineering Doctoral School at Roma Tre. His research focuses on neuroengineering applications in rehabilitation, particularly using haptic systems to aid post-stroke and Parkinson's patients. He explores movement regularity metrics in elderly populations through haptic feedback analysis. Education: MSc (Electrical Engineering, Sapienza 1992), PhD (Sapienza 1996), Postdoc (Sapienza 2000), current involvement in Roma Tre's Bioengineering Doctoral School. Research emphasizes haptic platforms for motor learning, quantifying movement parameters using kinematic data. His work bridges clinical needs with engineering solutions, addressing both neurological disorders and geriatric rehabilitation challenges. Publications (2012–2016) highlight studies on haptic feedback efficacy, comparison of visual/haptic modalities, and development of analytical frameworks for rehabilitation metrics. No awards explicitly mentioned but active in international conferences (ECCE, ICNR, Mediterranean Conferences). Associated with BioLab³, focusing on interdisciplinary projects combining neuroengineering and clinical applications. No formal advising role documented in provided texts.

• Neuroengineering
• Rehabilitation Engineering
• Biomedical Engineering
• +۳ مورد دیگر

Prof. Paola Russo is a Researcher at the University of Ancona (Università Politecnica delle Marche), affiliated with the Department of Information Engineering (Dipartimento di Ingegneria dell'Informazione) under the Engineering School. Her work focuses on electromagnetic fields, antenna design, and biomedical engineering applications. Key research areas include reverberation chamber analysis, microwave engineering, and sensor technologies for healthcare and accessibility. She has contributed to advancements in electromagnetic compatibility testing, non-invasive medical sensing, and antenna systems for visually impaired navigation. Her research integrates theoretical modeling with experimental validation, addressing challenges in 5G channel emulation, radar cross-section prediction, and bioimpedance measurements for medical diagnostics. Projects include developing contactless respiratory monitoring systems and guiding devices for visually impaired athletes. Prof. Russo collaborates on interdisciplinary initiatives combining electrical engineering with biomedical applications, such as tissue inflammation detection and astronaut health monitoring.

• Electromagnetic Fields
• Antenna Design
• Biomedical Engineering
• +۳ مورد دیگر

Prof. Umberto Lucia , Full Professor of Thermal Physics at the Politecnico di Torino 's Department of Energy (DENERG), is a leading expert in Non-Equilibrium Thermodynamics , Biophysics , and Quantum Thermodynamics . His work bridges Industrial Engineering with Biomedical Applications , focusing on entropy production, structural irreversibility, and thermodynamic modeling of biological systems. Education: PhD in Energetics (1995, University of Florence), MSc in Physics of Matter (1997, University of Ferrara), MSc in Experimental Nuclear Physics (1991, University of Turin) His research interests span: Thermodynamic analysis of cancer growth via exergetic and Constructal Law approaches Magnetocaloric refrigeration for sustainable technologies Quantum thermodynamics in open atomic systems Transport phenomena in biological membranes Thermoeconomic indicators for sustainability (THDI index) Photofission and nuclear energy systems Recent publications highlight his work on biomethane production from rice straw , low-frequency EMF effects on tumors , and thermodynamic time definitions , reflecting interdisciplinary trends in Energy Systems , Quantum Biology , and Sustainable Policy . Scientific awards include Constructal Law Prize (2024) Siebel Energy Institute Smart Energy Award (2015) Fellowships at Constructal Law Conferences (2012-2019) Advising and grants feature PhD student Giulia Grisolia. He leads projects like ELF (EMF cancer inhibition), PlaSNeuriM (neurorehabilitation), and ReVideo (visual rehabilitation), with patents on magnetic cancer therapy and neurorehabilitation insoles . Labs: PolitoBIOMed Lab (Biomedical Engineering), Energy Center Lab, and INFN (National Institute for Nuclear Physics) collaborations.

• Thermodynamics
• Biophysics
• Quantum Physics
• +۵ مورد دیگر