جست‌وجوی استاد و پژوهشگر

• Biomedical Engineering
• Biomedical Instrumentation Design
• Front-end Electronics for Biomedical Signals
• +۵ مورد دیگر

Giacinto Luigi Cerone serves as a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of the Polytechnic University of Turin. He is an active member of the Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab, contributing to interdisciplinary research in medical technology and rehabilitation engineering. His academic profile bridges electronics engineering with clinical applications through extensive teaching and research activities. His research focuses on biomedical instrumentation design, front-end electronics for biomedical signals, and assistive technologies for neuromuscular disorders. Key areas include human motion analysis, clinical studies, and development of biomedical devices, with strong alignment to Sustainable Development Goals 3 (Good Health), 4 (Quality Education), and 9 (Industry Innovation). His work integrates communication systems, wireless technology, and sensor networks to address healthcare challenges through projects like EMPATIC and SeeME. Recent publications (2023-2025) demonstrate consistent focus on high-density electromyography (HD-sEMG) applications, augmented reality rehabilitation systems, and neural signal processing. These works appear in high-impact journals like IEEE Transactions and Sensors, emphasizing practical implementations for motor rehabilitation, muscle fatigue analysis, and medical device innovation. Dr. Cerone leads multiple competitive research projects including EU-funded EMPATIC (2024-2025) and PNRR Mission 1's SeeME project, alongside commercial contracts for CPAP ventilators and vital signs monitors. He supervises PhD candidates Marco Gagliardi (Botulinum Toxin optimization), Arman Farsi (AR/VR rehabilitation systems), and Alessandra Giangrande (sensorimotor integration). Patents: Three inventions in neuromuscular stimulation and AR/EMG integration Teaching: Courses on Extended Reality in Medicine, Tele-rehabilitation, and Biomedical Device Design

Jacopo Aleottiمشاهده پروفایل

دانشیار

• Robotics
• Computer Graphics
• Virtual Reality
• +۳ مورد دیگر

Jacopo Aleotti is an Associate Professor at the Department of Engineering and Architecture, University of Parma. His research focuses on robotics, computer graphics, and virtual reality, with significant contributions to robot perception, haptic interfaces, and 3D reconstruction. Graduated in Electronic Engineering (2002), University of Parma PhD in Information Technology (2006), University of Parma From 2003 to 2006, he was a Marie Curie Fellow at Orebro University and a postdoctoral fellow at the University of Parma's Department of Information Engineering. His research interests include robotics , computer graphics , and virtual reality , with applications in industrial automation, haptic teleoperation, and 3D scene understanding. His recent publications explore topics like probabilistic motion planning, sensor fusion for VR tracking, and deep learning for object pose estimation. Notable scientific awards include the MIMOS award (2006) and the Marie Curie Fellowship (2003) . He leads research at the Robotics Laboratory (RimLab) at the University of Parma, contributing to projects involving autonomous systems, augmented reality interfaces, and underwater robotics. His teaching includes courses on object-oriented programming and virtual reality systems.

• Power Quality
• Analog-to-Digital Conversion
• Digital-to-Analog Conversion
• +۷ مورد دیگر

Antonio Moschitta is an Assistant Professor at the Department of Engineering, University of Perugia, Italy. His research focuses on Power Quality, analog/digital conversion, Indoor Positioning, and Estimation Theory. He has authored over 100 papers in international journals and conferences. Ph.D. from University of Perugia (2002) Chair of IEEE Systems Council Italian Chapter Co-chair of 2012 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Research interests span advanced measurement systems for biomedical and energy applications, including magnetic positioning, battery diagnostics, and signal processing. His recent work addresses AI-based measurement uncertainty, wireless sensor networks, and quantized signal analysis. Key article trends include: Battery Technology : Impedance spectroscopy, SOC estimation, degradation modeling Positioning Systems : Magnetic and ultrasonic localization, wearable devices for tremor detection Signal Processing : Quantization-based algorithms, parameter extraction, noise compensation Environmental Monitoring : Soil pollution mapping, energy systems for water heating Scientific roles include leadership in IEEE initiatives and contributions to the PRIN 2015 project on 6-DOF finger tracking. Collaborative efforts involve universities in Brescia and Cassino.

Maurizio Righettiمشاهده پروفایل

استاد

• Hydraulic Engineering
• Water Resources Management
• Climate Change Impacts
• +۲ مورد دیگر

Maurizio Righetti is a Full Professor at the Free University of Bozen-Bolzano within the Faculty of Agricultural, Environmental and Food Sciences. His research integrates hydraulic engineering, climate change adaptation, and sustainable water management, with a focus on Alpine environments. Research Interests: Righetti's work spans: Hydraulic systems optimization (e.g., sediment flushing, water distribution networks) Climate model bias correction for hydrological forecasting Renewable energy integration in water infrastructure Machine learning applications in ecohydraulics and resource management Impacts of hydropeaking and climate change on river ecosystems Recent Publications: His 15 most recent articles (2024-2025) demonstrate strong trends in: sediment dynamics modeling, AI-driven leak detection in water networks, climate data processing, and hybrid energy-water systems. Over 60% leverage machine learning, reflecting a shift toward data-centric environmental solutions. Engagement: He co-founded AIAQUA (unibz's water management spin-off) and leads public initiatives like "Action For Climate" to address climate-water linkages in Alpine regions.

• Virtual Reality
• Augmented Reality
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Damiano Perri serves as an Adjunct Professor in the Department of Mathematics and Computer Science at the University of Perugia. With a strong background in computer science research and teaching, his work spans multiple cutting-edge domains with practical applications. His academic profile demonstrates a consistent commitment to both theoretical research and real-world implementation. His research interests encompass a broad spectrum of computer science disciplines including Virtual Reality, Augmented Reality, Artificial Intelligence, Cloud Computing, Machine Learning, High Performance Computing, Quantum Computing, and Health Informatics. His work often bridges multiple domains, such as applying VR/AR technologies to healthcare problems like Visual Snow Syndrome treatment, or combining quantum computing principles with machine learning approaches. Professor Perri's publication record shows consistent output with 37 publications spanning from 2018 to projected 2026, demonstrating his active research trajectory. His work appears in high-impact venues including IEEE Access and Lecture Notes in Computer Science, often in collaboration with colleagues like Osvaldo Gervasi and Marco Simonetti. His research has evolved from foundational work in parallel computing and VR to increasingly interdisciplinary applications including health informatics and quantum computing. As an educator, Professor Perri has supervised numerous students, contributing as co-author to 7 master's theses and 52 bachelor's theses since 2019. He teaches several courses including Elements of Computer and Operating System Architecture, Virtual and Augmented Reality Laboratory, Computer Networks: Protocols, and Informatics across different degree programs. He serves as the technical manager of the LibreEOL project since 2015, which appears to be an important electronic assessment platform used at the university. Additionally, he is currently participating in a PRIN research project focused on analyzing Italian language corpora using artificial intelligence techniques. Professor Perri has developed several practical tools to support teaching and research, including a Confusion Matrix generator, Timezones tool, Countdown Timer, Banker's Algorithm solver, Money Calculator, and Break Timer. These tools reflect his commitment to practical applications of computer science concepts and enhancing the educational experience.

Nguyễn Kim Thắngمشاهده پروفایل

استاد

• Design and Analysis of Algorithms
• Optimization in Machine Learning
• Discrete Optimization
• +۲ مورد دیگر

Nguyễn Kim Thắng is a Full Professor affiliated with LIG , ENSIMAG , Grenoble INP , and University Grenoble-Alpes . He serves as Education Director of EFELIA-MIAI and member of the MIAI scientific board, while also participating in the scientific board of the GT Complexity and Algorithms and the pedagogical team at Ensimag's Fundamental Computer Science department. His research focuses on algorithm design and analysis, particularly in online algorithms, optimization in machine learning, discrete optimization, operations research, and algorithmic game theory. Nguyen works on problems related to resource allocation, scheduling, and decentralized optimization with applications to smart infrastructure. Nguyen co-chairs major conferences including the Conference on Frugal Machine Learning (2024) and STACS (2025), and has organized workshops on frugal learning, edge intelligence, and scheduling challenges. He serves on program committees for STACS, ACML, and selection committees for academic positions in artificial intelligence. His recent publications focus on primal-dual algorithms with predictions, decentralized optimization techniques, and applications to smart-building systems. Nguyen teaches courses ranging from foundational programming to advanced machine learning at Ensimag and has previously coordinated international academic programs.

• Artificial Intelligence
• Medical Imaging
• Radiomics
• +۵ مورد دیگر

Salvatore Vitabile is a Full Professor at the University of Palermo , affiliated with the Department of Biomedicine, Neuroscience and Advanced Diagnostics . His research focuses on Artificial Intelligence , Medical Imaging , and Radiomics , with significant contributions to AI explainability , organoid analysis , and biometric authentication .

Adam Teodor Polakمشاهده پروفایل

استادیار

• Algorithms
• Fine-Grained Complexity
• Learning-Augmented Algorithms
• +۳ مورد دیگر

Adam Teodor Polak serves as an Assistant Professor in the Department of Computing Sciences at Bocconi University, where his research centers on theoretical algorithms with dual emphases on fine-grained complexity and learning-augmented algorithms. His work investigates fundamental questions about computational hardness while developing prediction-enhanced algorithms that maintain worst-case guarantees. Polak earned his PhD from Jagiellonian University in 2019 under Paweł Idziak, including a research visit at MIT with Virginia Vassilevska Williams. He subsequently held postdoctoral positions at the Max Planck Institute for Informatics and EPFL before joining Bocconi. His research program addresses why computational problems resist efficient solutions and how imperfect predictions can robustly improve algorithmic performance. This manifests in two interconnected streams: establishing conditional lower bounds for problems like 3SUM and Orthogonal Vectors, and designing learning-augmented frameworks for dynamic graph problems, caching, and optimization that blend theoretical rigor with practical machine learning insights. Recent publications reveal accelerating momentum in algorithms with predictions, with over half of his 2023-2025 output appearing in top ML venues (ICML, NeurIPS, ICLR) alongside traditional theory conferences (STOC, SODA). This cross-pollination demonstrates how worst-case theoretical guarantees can coexist with data-driven performance gains across graph algorithms, scheduling, and combinatorial optimization. Scientific recognition includes: Best Paper Award at ESA 2024 for knapsack algorithm breakthroughs Bronze Medal at ACM ICPC World Finals (2011) 2nd Place in PACE 2018 Challenge for Steiner tree algorithms Polak actively shapes the field through program committee service (ESA, ICALP, SOSA) and community building, notably co-organizing the 2022 Workshop on Algorithms with Predictions (ALPS) and decade-long high-school algorithmics workshops. His industry collaborations with Teroplan and Google demonstrate real-world impact in route planning and distributed systems. Current teaching includes graduate Algorithms courses at Bocconi, while his experimental work on GPU-accelerated graph algorithms and medical computer vision continues to bridge theoretical insights with practical implementation challenges.

Reza Sameniمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Machine Learning
• Artificial Intelligence
• +۱۰ مورد دیگر

Reza Sameni is an Associate Professor at Emory University's Department of Biomedical Informatics and Adjunct Associate Professor at Georgia Institute of Technology's Wallace H. Coulter Department of Biomedical Engineering. He serves as Scientific Director of Emory's Medical Imaging, Informatics, and AI (MIIAI) Core. PhD in Biomedical Engineering (Sharif University of Technology) PhD in Signal Processing & Telecommunications (INPG) MSc in Biomedical Engineering (Sharif University) BSc in Electronics Engineering (Shiraz University) His research spans biomedical signal processing and model-based machine learning, with applications in cardiovascular diagnostics, maternal-fetal health, psychiatry, and global health equity. The Alphanumerics Lab develops explainable AI tools for multimodal physiological monitoring and open-access platforms like OSET. Current article trends focus on AI-driven diagnostics, cross-modal ECG/PCG analysis, edge computing for rural healthcare, and algorithmic reproducibility in biomedical applications. The lab actively recruits graduate students and postdocs. Georgia Institute of Technology (adjunct appointment) Emory University (tenured associate professor) Former Chair at Shiraz University Former Senior Researcher at GIPSA-lab Lab initiatives include: open-source toolboxes (OSET), crowdsourced AI frameworks for arrhythmia detection, and bias mitigation in clinical AI systems. Research integrates FPGA/ embedded systems for biomedical hardware development.

• Bariatric Surgery
• Minimally Invasive Surgery
• Surgical Complications
• +۴ مورد دیگر

Angelo Iossa is a Researcher at Sapienza University of Rome's Department of Medical-Surgical Sciences and Biotechnologies, actively contributing to surgical innovation and clinical research. His institutional affiliation is centered within Rome's premier academic medical institution, where he maintains dual email contacts for professional correspondence. His research focuses on bariatric surgery safety and complications, particularly sleeve gastrectomy leaks and revisional procedures, alongside thyroid surgery training methodologies and enhanced recovery protocols. Key interests include surgical education through augmented reality, pandemic-era surgical adaptations, and Italian clinical guideline development through SICOB and SICE collaborations. His 15 most recent publications (2023-2024) demonstrate strong emphasis on prospective cohort studies, systematic guideline development using GRADE methodology, and technical innovations in minimally invasive surgery. Major themes include complication prevention in metabolic surgery, surgical training optimization, and pandemic-influenced practice adaptations across Italian surgical centers. SICOB-endorsed Italian clinical practice guidelines for obesity surgery (2024) National Delphi consensus on obesity treatment optimization (2023) EAES rapid guideline contributions on bariatric surgery (2022) His research projects include "From imaging to 3D printing of the hiatal area: impact on preoperative strategy in the obese population," demonstrating integration of advanced technologies with surgical planning. He actively participates in multicenter studies including the ONWARD prospective cohort and ACIE Appy appendicitis management research during the pandemic era.

Enrico Vezzettiمشاهده پروفایل

استاد

• 3D Face Analysis
• 3D Scanning
• Computer-Aided Design
• +۱۲ مورد دیگر

Enrico Vezzetti is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic University of Turin, Italy. He serves as Coordinator of basic subjects for the 2nd year of Engineering and contributes to doctoral programs in Management and Production Engineering. His research focuses on virtual/digital human behavior analysis for human-centered design , spanning 3D modeling , product lifecycle management (PLM) , and augmented reality (AR) applications in medicine and industry. Research Interests : 3D Face Analysis, Human-Computer Interaction, Product Design, Medical Imaging, Computational Modeling, Industrial Innovation. His recent work explores 3D methodologies for predicting post-surgical facial changes, machine learning in VR environments for stress assessment, and augmented reality systems for orthopedic and maxillofacial surgery. He has developed patented tools for 3D surgical guides and real-time facial expression recognition . He has authored over 100 publications and holds editorial roles in journals like Pattern Recognition and Applied Sciences . His projects include regionally and EU-funded initiatives such as DAS (Design for Augmented Surgery) and Media - Museo Emozionale , focusing on healthcare and cultural preservation. Scientific Awards : Young Researchers - 2011 Award (2011) Polytechnic University of Turin Publications Award (2011, 2012) He leads research groups in 3D Lab and collaborates with institutions on digital twins , smart manufacturing , and medical AI systems , emphasizing cross-fertilization between academia and industry .

Mirko Mazzoleniمشاهده پروفایل

دانشیار

• System Identification
• Fault Diagnosis
• Kernel Methods
• +۸ مورد دیگر

Mirko Mazzoleni is an Associate Professor at the Department of Management, Information and Production Engineering, University of Bergamo, Italy. His research focuses on system identification, fault diagnosis, kernel methods, and Industry 4.0 applications. He holds a Master's in Computer Science Engineering (2014) and a Ph.D. in Engineering and Applied Sciences (2018). Before becoming an Associate Professor, he served as an Assistant Professor at the Control and Automation Laboratory (CAL) from 2019 to 2024. His work integrates data science, signal processing, and machine learning to develop robust algorithms for supervisory systems and fault detection in electromechanical actuators. Notable contributions include kernel-based identification methods, visualization tools for classification results (Confusion Star/Gear), and supervision frameworks for industrial equipment. He co-founded AISent srl, applying technological solutions to industry challenges. He teaches courses like Adaptive Learning and Estimation , System Identification , and Advanced Methods for Fault Diagnosis . His research spans aerospace applications (e.g., jamming detection in aircraft actuators), vibration signal analysis, and data-driven control strategies. Recent projects include robust filter design for electromechanical systems and guidelines for industrial supervision solutions.

• Forensic Psychology
• Human-Computer Interaction
• Deception Detection
• +۳ مورد دیگر

Merylin Monaro is an Assistant Professor at the University of Padua, Italy. Her research focuses on interdisciplinary applications of technology in psychology, including deception detection, mental health interventions, and human-computer interaction. She leads studies on forensic psychology in digital spaces, stress management through AI-driven tools, and user behavior analysis in virtual environments. Research Interests : Forensic Psychology & Cybercrime Analysis Machine Learning in Behavioral Assessment Augmented Reality & User Experience Design Psychometric Methods for Deception Detection Mental Health Technology Innovation Her work explores the intersection of technology and human behavior, with recent emphasis on metaverse-related legal challenges, AI ethics in psychological testing, and digital solutions for adolescent well-being. Publications span over 50 peer-reviewed articles since 2014, focusing on biometric authentication, online identity verification, and predictive mental health models. Recent Trends in Work : 2024-2025 research highlights include: Development of AI chatbots for WHO-validated stress management protocols Forensic analysis of metaverse sexual crime dynamics Pioneering VR-based memory testing methodologies Machine learning frameworks to detect response bias in psychological assessments No scientific awards explicitly mentioned, but her work demonstrates significant contributions to interdisciplinary research methods. Active in collaborative projects involving computer science and psychology departments, though specific lab affiliations are not detailed in the provided texts.

Vincenzo Cagliotiمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Image Processing
• +۵ مورد دیگر

Vincenzo Caglioti is a Professor at the Department of Electronics, Information and Bioengineering (DEIB) of Politecnico di Milano. His research focuses on computer vision, robotics, and image processing, with emphasis on motion analysis, sensor fusion, and multi-robot systems. He has contributed extensively to fields such as augmented reality, motion blur recovery, and uncalibrated camera systems. Key research areas include: Development of algorithms for 3D reconstruction from motion-blurred images Design of efficient exploration strategies for mobile robots Integration of sensor data for environmental monitoring and autonomous navigation Analysis of geometric properties in catadioptric systems His work spans theoretical advancements in computer vision alongside practical applications in robotics and surveillance. Over 30 years of publications demonstrate a sustained contribution to advancing perception systems for autonomous systems. No scientific awards explicitly listed in provided texts Labs/Teams: Likely affiliated with DEIB's Robotics and Computer Vision research groups, though specific lab names not explicitly stated in text.

• Operations Research
• Optimization
• Mathematical Programming
• +۵ مورد دیگر

Marianna De Santis is an Associate Professor in the Department of Information Engineering (Dipartimento di Ingegneria dell’Informazione) at the University of Florence, Italy. She previously held positions at Sapienza University of Rome and other institutions. Her research focuses on optimization, particularly in multiobjective programming, mixed-integer programming, and algorithm design. She has authored numerous articles in top journals and developed software tools like BBMOQIP and MOMIX for solving complex optimization problems. Education : PhD in Operations Research, Sapienza University of Rome (2012) MSc in Applied Mathematics (2007), BSc in Mathematics (2005) Research Interests : Dr. De Santis specializes in optimization theory and applications, including multiobjective optimization, integer programming, and algorithm design. Her work bridges theoretical advancements with practical implementations, addressing challenges in machine learning, bioinformatics, and operations research. Key areas include semidefinite programming, robust optimization, and exact methods for complex combinatorial problems. Articles Trends : Her recent work emphasizes multiobjective optimization, with contributions to hyperparameter optimization, robust combinatorial methods, and sustainable modeling. Publications span journals like Journal of Global Optimization and Mathematical Programming , reflecting her expertise in algorithmic innovation and mathematical rigor. Grants & Teaching : She leads projects on augmented Lagrangian methods and multiobjective integer optimization. Teaching includes courses on operations research, optimization, and data science at the undergraduate and graduate levels. She has also organized international workshops and served on conference committees. Labs/Teams : Her research group develops optimization software (e.g., BBMOQIP) and collaborates internationally on projects involving algorithm design and real-world applications.