جست‌وجوی استاد و پژوهشگر

Silvia Cammaroneمشاهده پروفایل

پژوهشگر

• Pharmaceutical Chemistry
• Organic Chemistry
• Nanotechnology
• +۵ مورد دیگر

Silvia Cammarone is a Researcher at the Department of Pharmaceutical Chemistry and Technology within Sapienza University of Rome . Her work spans pharmaceutical chemistry, nanotechnology, and natural product-based drug development, with a focus on antimicrobial resistance reversal and tumor-targeted therapies. Research Focus: Antibiotic delivery systems, immunosensor development, and cancer-targeting compounds Key Projects: Synthesis of Smoothened receptor antagonists for Hedgehog-dependent tumors Research Interests center on overcoming antibiotic resistance through ArnT inhibitors, developing nanovehicles for drug delivery, and exploring natural products for anticancer and antiviral applications. Her work on resorc[4]arene-functionalized nanomaterials advances biosensor technology. Publication Trends show expertise in Journal of Organic Chemistry , International Journal of Pharmaceutics , and Antibiotics , with recent emphasis on nanocarrier systems and structure-activity relationship studies. Scientific Collaborations include participation in the Paul Ehrlich Euro-PhD Network and the XLVI International Summer School on Organic Synthesis.

Daniela Secciمشاهده پروفایل

استاد

• Drug design and discovery
• Anticancer agents
• Neuroprotective agents
• +۵ مورد دیگر

Daniela Secci is a Full Professor at the Department of Chemistry and Pharmaceutical Technology , Sapienza University of Rome. Her research focuses on drug design and discovery for anticancer agents, neuroprotective molecules, and anti-infectives, with particular emphasis on monoamine oxidase (MAO) inhibitors , epigenetic modulators , and carbonic anhydrase isoform IX/XII inhibitors . She leads the MALDI Laboratory and Laboratory 108-110 , utilizing advanced analytical tools for high-resolution mass spectrometry and chiral compound analysis . Developing metal-organic frameworks (MOFs) for biomedical applications Designing hybrid molecules for multitarget inhibition in neuroinflammation and cancer Her recent work explores CO-releasing molecules for rheumatoid arthritis therapy, enantioselective drug synthesis , and environmental impact assessment of lithium-ion battery fire extinguishing agents. She teaches Pharmaceutical Biotechnology and Chemical Analysis of Doping Substances , with 95% research and 5% teaching activity allocation. Research Collaborations: Alberto Boffi (Biochemical Sciences), Alessandra Giorgi (Biochemical Sciences), Paul Guglielmi (Chemistry and Pharmaceutical Technology).

• Complex networks
• Multi-agent systems
• Nonlinear control
• +۵ مورد دیگر

Anton Proskurnikov is an Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino, Italy. His academic appointment spans the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. Based in office L.240, he maintains an active research program focused on control theory with applications to complex networked systems. Dr. Proskurnikov's research centers on complex networks, multi-agent systems, nonlinear control, and social network analysis, with significant contributions to understanding opinion dynamics and consensus mechanisms. His work bridges theoretical control engineering with practical applications in social dynamics, earning recognition through prestigious awards including the O. Hugo Schuck Best Paper Award (2023). His expertise spans control theory, optimization, and network analysis with implications for sustainable infrastructure and smart cities. His publication trajectory reveals a sophisticated evolution from foundational control theory toward increasingly complex applications in social dynamics and networked systems, with recent emphasis on bounded confidence models, higher-order interactions in social dynamics, and quantum optimization for complex system design. This interdisciplinary approach connects traditional control engineering with emerging challenges in social network analysis. Dr. Proskurnikov has received multiple significant awards: O. Hugo Schuck Best Paper Award (2023) from the American Automatic Control Council EPEPS Best Paper Award (2020) from EPEPS Conference Annual Reviews in Control Paper Prize (2020) from IFAC As an academic advisor, Dr. Proskurnikov currently supervises PhD student Jinze Wu in Electrical, Electronics, and Communications Engineering. His research is supported by the National Research PRIN project "Higher-order interactions in social dynamics with application to monetary networks" (2023-2025), for which he serves as Scientific Manager. He contributes to editorial boards of leading journals including IEEE TRANSACTIONS ON AUTOMATIC CONTROL and INTERNATIONAL JOURNAL OF CONTROL, reflecting his standing in the control theory community. Dr. Proskurnikov is an active member of the Automatica research group within the Department of Electronics and Telecommunications, focusing on systems, automation, and control. His collaborative work extends internationally to institutions including TU Delft, St. Petersburg National Research University, and the University of Groningen, demonstrating his strong international research presence and interdisciplinary approach to complex networked systems.

• Multivariate Analysis
• Fuzzy Clustering
• Probabilistic Graphical Models
• +۳ مورد دیگر

Vincenzina Vitale serves as a Tenure-Track Assistant Professor of Statistics within the Department of Social and Economic Sciences at Sapienza University of Rome. Her academic profile centers on advanced statistical methodologies with applications spanning economics, public policy, and sustainability initiatives. She teaches core courses including Statistics and Data Science for Sustainability and Statistical Methods and Models for Economics and Public Policy, maintaining regular office hours on Tuesdays from 12:30 to 14:30 by email appointment. Her research program focuses on multivariate analysis, specializing in innovative fuzzy clustering techniques for complex data structures such as time series, spatial data, and mixed data types. She extensively employs probabilistic graphical models, particularly Bayesian networks, for data integration and modeling challenges. This work bridges theoretical statistics with practical applications in electoral analysis, financial volatility, sports analytics, and public health domains including COVID-19 pandemic response. Analysis of her 15 most recent publications reveals a dominant trend toward developing spatially-aware and robust fuzzy clustering algorithms. These methods increasingly incorporate regularization techniques, entropy principles, and copula models to handle interval-valued data, count data, and tail dependencies. Key application areas include regional competitiveness measurement (NUTS2/NUTS3 frameworks), electoral studies, sports performance analytics, and pandemic modeling, demonstrating consistent contributions to top-tier statistical journals. No scientific awards or fellowships were documented in the available materials. While her publication record indicates significant research productivity, specific details regarding graduate student advising, research grants, or collaborative projects were not explicitly mentioned in the provided texts. Similarly, information about laboratory facilities or dedicated research teams remains undocumented in the current sources.

Laura Astolfiمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Neuroscience
• Brain Connectivity
• +۴ مورد دیگر

Laura Astolfi is an Associate Professor at the Department of Computer, Control, and Management Engineering , Sapienza University of Rome, and a Researcher at Fondazione Santa Lucia Hospital, Italy. She leads the Bioengineering and Bioinformatics Laboratory and is a Junior Fellow at the Sapienza School for Advanced Studies. Ph.D. in Biomedical Engineering, University of Bologna Master's in Electronic Engineering, University of Rome Sapienza Her research spans brain connectivity , high-resolution EEG source reconstruction , neurorehabilitation , hyperscanning , and social neuroscience . Key applications include disorders of consciousness and motor recovery post-stroke. Recent publications focus on deep learning for EEG localization , functional ultrasound imaging , and multi-subject brain network analysis . Awards include World's Top 2% Scientists (2021–2024) and the Best Under-40 Researcher Award at Sapienza (2010). Associate Editor, Brain Topography , Medical & Biological Engineering & Computing , and IEEE Open Journal of Engineering in Medicine and Biology 261 peer-reviewed papers, 8933 citations, H-index 45

Febo Cincottiمشاهده پروفایل

استاد

• Bioengineering
• Neuroengineering
• Processing Neurophysiological Signals
• +۳ مورد دیگر

Febo Cincotti è Professore Ordinario di Bioingegneria (ING-INF/06) presso il Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti" della Sapienza Università di Roma. Svolge attività di ricerca metodologica e applicata sul processamento di segnali neurofisiologici e sullo sviluppo di interfacce cervello-computer (BCI) per riabilitazione motoria e assistenza a pazienti con disabilità severe. Laurea in Ingegneria Elettronica (1998), Sapienza Università di Roma Dottorato in Biofisica (2003), Fondazione Santa Lucia La sua ricerca si concentra su: Metodi avanzati per il processamento di segnali EEG, EMG e HD-EEG Interfacce cervello-computer per recupero motorio post-ictus Analisi di coerenza cortico-muscolare e intermuscolare Applicazioni di teoria dei grafi per reti cerebrali Gli articoli recenti mostrano un focus su: Reabilitazione dell'arto superiore post-stroke Metodi per ridurre jitter nella classificazione P300 Caratterizzazione di oscillazioni cerebrali a bassa frequenza Applicazioni BCI per pazienti con disordini della coscienza Analisi di connettività cerebrale mediante teoria dei grafi Integrazione di feedback visivo e bioingegneristico nella riabilitazione robotica Attività di insegnamento: Metodi Avanzati di Analisi di Dati Biomedici (12 CFU) Elaborazione Dati e Segnali Biomedici II (3 CFU) Neuroengineering (3 CFU) Membro del Collegio dei Docenti per il Dottorato in Automatica, Bioingegneria e Ricerca Operativa E' coautore di 124 articoli su rivista internazionale (H-index 50 Scopus) e ha coordinato 5 progetti EU e 1 progetto nazionale. E' stato Associate Editor delle IEEE Transactions on Biomedical Engineering e relatore invitato in conferenze internazionali.

Giuseppe Orioloمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Autonomous Mobile Robots
• +۳ مورد دیگر

Giuseppe Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, where he has been since 1994. He coordinates the DIAG Robotics Lab and has held teaching positions at the University of Siena, University of Cassino, and Roma Tre. Oriolo was a Visiting Scholar at the University of California, Santa Barbara, and serves on various editorial and program committees, including IEEE Transactions on Robotics and international conferences like ICRA and IROS. Education : Ph.D. in Systems Engineering (1992), Sapienza University of Rome His research focuses on robotics and control theory, particularly in robot control, motion planning, trajectory optimization, redundant robotic systems, control of underactuated systems, sensor-based localization, navigation for mobile robots, humanoid robots, and visual servoing. He has over 230 publications and contributes to advanced robotics frameworks. Recent publications highlight his work on Model Predictive Control (MPC) for humanoids and mobile robots, emphasizing robustness, singularity-free trajectories, and decentralized cooperation. His research addresses dynamic constraints, feasibility, and real-time adaptation in complex environments. Scientific Awards : 2017 IEEE Fellow, 2020 IEEE Robotics and Automation Magazine Best Paper Award, 2016 ANTS Best Paper Award, 2024 Human-Friendly Robotics Best Paper Award Oriolo's teaching includes Control Systems at Sapienza, with past roles in courses like Adaptive Systems, Nonholonomic Control, and Underactuated Robots. He has mentored numerous advisees through publications and lab activities. He leads the DIAG Robotics Lab, fostering innovation in humanoid robots, autonomous systems, and control theory.

Marco Temperiniمشاهده پروفایل

دانشیار

• Technology Enhanced Learning
• Student Modeling
• Teacher Modeling
• +۹ مورد دیگر

Marco Temperini is an Associate Professor of Information Processing Systems at Sapienza University of Rome, where he teaches programming techniques and web programming languages. With a Mathematics degree (1986) and Computer Science PhD (1992) from Sapienza University, he has established himself as a prominent researcher in educational technology. His educational background includes: Laurea in Matematica (1986, Sapienza University of Rome) Dottorato in Informatica (1992, Sapienza University of Rome) Professor Temperini's research focuses on Technology Enhanced Learning, with particular expertise in Student and Teacher Modeling, Adaptive e-learning systems, and the application of Data Mining and Artificial Intelligence techniques to personalize learning content. His work extends to Social and Collaborative Learning environments, Game Based Learning approaches, and innovative Automated and Peer Assessment methodologies. With extensive international collaboration experience, he has coordinated research units and served as work-package leader in numerous projects including EuroCompetence, UnderstandIT, and 9Conversations. His recent publications (2023-2024) reveal a strong trend toward applying advanced AI techniques, particularly large language models, to educational assessment challenges. These works demonstrate increasing sophistication in leveraging natural language processing for automated analysis of student work, concept maps, and programming assignments, while maintaining a strong focus on practical educational applications. Notable scientific recognition includes: 2023 Best Reviewer Award 2023 Best Paper Award 2022 Best Paper Award 2021 Best Paper Award 2018 Best Paper Award at ICWL2018 Membership on the Human-Computer Interaction Awards Committee (2021.6-2024.7) Professor Temperini has been highly active in the academic community, serving as Conference co-Chair for ICWL (2016), Technical Program co-Chair for multiple conferences including MIS4TEL and SETE, and General Chair for MIS4TEL2022 and SETE2023. He is a member of the Steering Committee for ICWL and MIS4TEL conferences and serves on the IEEE Technical Committee on Learning Technology. As an associate editor for the International Journal on Distance Education Technology, Frontiers in Artificial Intelligence, and Computers & Education: Artificial Intelligence, he plays a significant role in shaping research directions in educational technology. His leadership extends to numerous international projects where he has served as coordinator of research units and work-package leader, including EuroCompetence, Socrates Project 56544-CP-1-98-1; CIOC, NFU Project 18; mENU, e-learning Project 2002-0510/001-001; QUIS, e-learning Project 2004-3538/001-001; UnderstandIT, Leonardo Da Vinci Transfer of Innovation; and 9Conversations: Network building for self-employment of refugees. These projects demonstrate his commitment to applying technology to address real-world educational challenges across diverse contexts.

Elena Umiliمشاهده پروفایل

استادیار

• Neurosymbolic AI
• Deep Learning
• Deep Reinforcement Learning
• +۳ مورد دیگر

Elena Umili is an Assistant Professor (RTD-A) at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, specializing in Neurosymbolic AI research. Her work bridges deep learning with symbolic reasoning systems. She received her PhD in Engineering in Computer Science from Sapienza University of Rome in 2023 under the supervision of Prof. Giuseppe De Giacomo and Prof. Roberto Capobianco. Her doctoral thesis focused on 'Discovering Logical Knowledge in Non-Symbolic Domains'. Her research interests center on Neurosymbolic AI integration , particularly: Combining deep machine learning with symbolic reasoning Temporal logic specifications in neural systems Automata learning through neural relaxations Non-Markovian reinforcement learning tasks Visual grounding of logical specifications Analysis of her recent publications reveals a strong focus on neural-symbolic integration where she develops frameworks like DeepDFA and Neural Reward Machines. Her work consistently addresses the challenge of incorporating logical constraints into deep learning systems, with applications spanning robotics, sequence generation, and visual reasoning. The research demonstrates increasing sophistication in handling temporal logic specifications within neural architectures. She is an active member of research groups focused on Artificial Intelligence and Knowledge Representation, as well as Artificial Intelligence and Robotics at Sapienza University. While no formal advisees or major awards are currently documented in her public profile, her recent publications indicate significant contributions to the neurosymbolic AI field through top-tier conferences including ECAI, KR, and specialized workshops. Her work shows strong potential for future impact in bridging the gap between neural and symbolic AI paradigms.

Alessandra Gilibertمشاهده پروفایل

دانشیار

• Phoenician-Punic Archaeology
• Archaeology of the Levant
• Ancient Near Eastern Archaeology
• +۷ مورد دیگر

Alessandra Gilibert is Associate Professor of Phoenician-Punic Archaeology at Ca' Foscari University of Venice, Department of Humanities. She researches the ancient Near East, the Levant, and the Caucasus, focusing on urbanism, ritual landscapes, monumental art, and the anthropology of images. Education & Training: (not explicitly detailed in source) Research Interests include: Phoenician-Punic and Levantine archaeology Armenian and Caucasus prehistory Urban public space and governance in antiquity Dragon-stone (vishap) stelae and high-altitude ritual landscapes Archaeology of performance, games and divination Obsidian provenance using machine-learning workflows Publication Trends: Recent output (2020-2025) couples rigorous fieldwork—especially in Armenia—with cutting-edge analytical approaches (geochemical sourcing, machine learning) and theoretical reflections on ritual, politics and space. Studies range from microscopic characterisation of obsidian to macro-scale interpretation of urban squares and sacred mountains. Scientific Awards: none explicitly listed Advising & Grants: no specific PhD students, grants or funding details disclosed in source Labs & Teams: Active in international collaborative projects with colleagues from Armenia, Germany, Slovakia and the USA, integrating geophysics, GIS and archaeometry within traditional archaeological fieldwork.

Cecilia VALENTINIمشاهده پروفایل

پژوهشگر ارشد

• Language Sciences
• Dialectology
• Digital Humanities
• +۲ مورد دیگر

Cecilia VALENTINI is a Research Fellow at the Department of Humanities, Ca' Foscari University of Venice. Research Areas: Her work focuses on Language Sciences Dialectology Digital Humanities Latin Dialects Historical Sociolinguistics Projects: She is involved in the Digital Latin Dialectology (DiLaDi) project, funded by the European Research Council (ERC) under Horizon Europe, which traces linguistic variation through ancient and early medieval sources. The project spans 60 months (2023–2028) and collaborates with scholars like Béla ADAMIK and Alessandro PAPINI.

• Ancient Near East Studies
• Digital Humanities
• Assyriology
• +۵ مورد دیگر

Erica Scarpa is a Researcher at the Department of Humanities, Ca' Foscari University of Venice. Her work focuses on the intersection of Ancient Near East Studies , Digital Humanities , and Prosopography , with particular emphasis on Eblaite society and Kassite Babylonian administration. University: Ca' Foscari University of Venice Department: Department of Humanities Academic Rank: Researcher Her research involves advanced spatial data analysis and data mining techniques applied to cuneiform archives, including the digitization of epigraphic material from the Ebla Central Archive (L.2769). She contributes to projects like the Ebla Digital Archives and a Digital Prosopography Project on Kassite Babylon. Publication Trends reveal expertise in Eblaite administrative structures , Kassite official activities , and historical network analysis . She actively publishes in journals (e.g., Studia Eblaitica ) and conference proceedings (e.g., Egypt and the Ancient Near East between Past and Future ). Contact: Email: erica.scarpa@unive.it Email: 835553@stud.unive.it

Federico Boschettiمشاهده پروفایل

مدرس پاره‌وقت

• Digital Humanities
• Computational Linguistics
• Digital Philology
• +۳ مورد دیگر

Federico Boschetti is a Part-Time Lecturer at the Department of Humanities, Ca' Foscari University of Venice . He has been a researcher at CNR-ILC since 2011, focusing on Digital Humanities and Digital Philology . As project leader for the Archipelago DH initiative, he manages CNR-ILC's research unit at Ca' Foscari's Centre for Digital & Public Humanities. He directs the Collaborative and Cooperative Philology Laboratory (CoPhiLab) and has taught at multiple institutions including Venice International University, University of Pisa, and Ca' Foscari. Research Focus: Digital Philology, Humanities Computing, Cultural Heritage Digitization Technical Expertise: Linguistic annotation tools, text acquisition software, digital project sustainability Collaborations: Perseus Project (Tufts University), CLARIN Infrastructure, CNR-ILC His work bridges computational methods with classical philology, particularly evident in projects like HTRogène (Medieval Latin corpus) and EpiSearch (ancient inscription identification). His publications demonstrate strong engagement with domain-specific languages and digital knowledge organization .

• Algorithms on strings
• Formal language theory
• Bioinformatics
• +۳ مورد دیگر

Chiara Epifanio is a researcher (INFO-01/A) at the University of Palermo , based in the Department of Mathematics and Computer Science . She holds regular office hours on Tuesdays 14:30–17:00 in Room 104, first floor, Via Archirafi 34, and can be reached at chiara.epifanio@unipa.it . Over the past fifteen years she has designed and taught a diverse portfolio of courses spanning Programming , Bioinformatics , Advanced Programming , Teaching Methodologies and Techniques for Computer Science and Pattern Discovery for Life Sciences . These offerings serve degree programmes in Mathematics, Computer Science, Statistics & Data Science, and the recently launched curricula in Data, Algorithms & Machine Intelligence and Computer Science & Artificial Intelligence . Her research lies at the intersection of combinatorics on words , string algorithms , and bioinformatics . She has made sustained contributions to the design of alignment-free distances for biological data, the theory of Sturmian words and their associated graphs, suffix automata tolerant to mismatches, and compact data structures such as linear-size suffix tries. The work repeatedly draws on deep results from formal language theory, automata theory, and discrete mathematics to solve practical problems in sequence analysis. Publications trend: From 2004 onward she has produced a steady stream of peer-reviewed articles that move from foundational combinatorial results on Sturmian words and critical factorization theorems toward application-driven studies on approximate string matching and genomic data mining. A marked acceleration is visible in the 2023 publications addressing k-Hamming and k-edit distances, reflecting current demands in large-scale biological data analytics. Scientific awards: None explicitly mentioned in the provided material. Advising & grants: No PhD or Master’s students are listed in the supplied pages, and no funded project descriptions are available. Laboratories & teams: While no specific lab is named, her teaching and research are embedded within the Department of Mathematics and Computer Science, which hosts groups in algorithms, discrete mathematics, and bioinformatics, and provides access to the university’s ATeN Center and other research infrastructures.

• Algebra
• Group Theory
• Lie Theory
• +۳ مورد دیگر

Giovanni Falcone is a Full Professor (MATH-02/B) in the Department of Mathematics and Computer Science at the University of Palermo, Italy. His office is located at Via Archirafi 34, Palermo, Room 107, where he holds office hours on Tuesdays from 2:00 PM to 5:00 PM. Professor Falcone's research spans multiple areas of pure mathematics with a focus on: Algebraic structures and Lie theory Combinatorial designs and finite geometries Number theory and algebraic geometry Coding theory and applications His scholarly work demonstrates a consistent trajectory through advanced mathematical structures, with recent publications focusing on Steiner systems, Lie algebras, hyperelliptic curves, and combinatorial designs. Over the past two decades, his research has evolved from foundational work in Lie theory and group theory toward increasingly sophisticated applications in coding theory and geometric structures, showing remarkable continuity and development across multiple mathematical disciplines. Professor Falcone maintains an active publication record with significant contributions spanning both theoretical developments and practical applications, particularly at the intersection of combinatorial mathematics and algebraic structures. His work on Steiner systems and affine designs represents ongoing innovation in classical areas of combinatorics, while his research on hyperelliptic curves and Goppa codes demonstrates relevance to modern cryptographic applications.