Alberto Pettignano is a Full Professor in the Department of Physics and Chemistry at the University of Palermo (UNIPA). His office hours are held on Tuesdays and Thursdays (3:00-5:00 PM) at Building 17, Studio (PT008) or via Teams platform. He can be contacted at +3909123897959 or alberto.pettignano@unipa.it. Research Interests: Dr. Pettignano specializes in Environmental Chemistry, focusing on metal ion adsorption processes, chemical speciation, and the development of nanomaterials for pollutant removal. His work explores adsorbents derived from marine biomass (e.g., Posidonia oceanica), functionalized clays, and cyclodextrin-based nanosponges for heavy metal and organic contaminant mitigation. Recent publications highlight his contributions to heavy metal remediation (Pb 2+ , Cd 2+ , Hg 2+ ), adsorption kinetics , and nanomaterial design for environmental applications. He investigates metal-organic interactions, including Schiff base complexes for anticancer therapies and catalytic systems using palladium and zinc oxide nanoparticles.
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.
Giovanni Lagioia serves as a Full Professor within the Department of Economics, Management and Business Law at the University of Bari Aldo Moro, Italy. His academic work focuses on sustainability and environmental management with emphasis on circular economy practices and life cycle assessment methodologies. Professor Lagioia's research spans agriculture, tourism, hospitality, and textiles, addressing critical issues including water conservation, food waste reduction, and sustainable resource management in Southern Italy and global contexts. His research interests encompass life cycle assessment applications across multiple industries, circular economy models for agri-food systems, sustainable tourism frameworks, and environmental footprint reduction in manufacturing. Key investigations include wastewater recovery systems, sustainable packaging solutions, renewable energy integration, and resource efficiency metrics. His work consistently bridges theoretical advancements with practical policy implementation, particularly in Mediterranean regional challenges. Analysis of recent publications (2023-2025) reveals strong interdisciplinary trends integrating fuzzy AHP, material flow analysis, and multivariate curve resolution to address complex sustainability problems. Dominant themes include post-pandemic recovery in tourism/hospitality sectors, textile production environmental impacts, and circular economy applications for Mediterranean water/food systems. Southern Italy serves as a critical case study for sustainable practices in hospitality food waste management and agricultural water conservation. Scientific Awards: No specific awards, fellowships, or medals are mentioned in the provided information. Advising and Grants: While Professor Lagioia maintains an active research profile, the available materials do not list doctoral students, master's advisees, or specific research grants secured. Labs and Teams: The provided documentation contains no details regarding research laboratories, specialized teams, or collaborative research groups led by Professor Lagioia.
Mirko Lobino is an Associate Professor at the University of Trento, affiliated with the Department of Industrial Engineering. His work bridges theoretical concepts and practical applications in quantum optics, photonics, and material science. Teaches Fisica 1 (PARI) and Fisica 2 Co-teaches Physics and Thermodynamics of Materials with Alberto Quaranta and Francesco Parrino Research interests focus on quantum information science, laser physics, and graphene-based materials for strain sensing. He develops programmable photonic circuits for quantum computing and investigates thermodynamic principles in material transformations. Recent publications highlight advancements in photon number detection, quantum system control, and squeezed light generation for quantum networks. His work involves collaborations with the Department of Mathematics and integrates ion traps, photonic waveguides, and machine learning for quantum technologies. He explores applications in wearable sensors, electrochemical biosensing, and high-temperature electronics.
Valerio Vignoli is an Associate Professor of Electronics at the University of Siena's Department of Information Engineering and Mathematics since 2005. He holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1994) from the University of Florence. His research focuses on chemical sensors, measurement systems, and circuits for ICT applications. He has pioneered low-cost IoT sensor solutions for environmental monitoring, healthcare, and industrial safety. Notable projects include magnetic contaminant detection systems, wearable health monitors for hazardous environments, and QCM-based biosensors for on-site diagnostics. His work integrates interdisciplinary approaches, such as applying machine learning to sensor signal processing and developing energy-efficient self-powered sensor nodes. He has contributed to advancing photoacoustic gas sensing, entropy estimation for secure random number generation, and wearables for occupational safety. His research emphasizes practical applications, including smart agriculture CO₂ monitoring and real-time worker health tracking. Dr. Vignoli has designed innovative systems like the remotely controlled test bench for ultrasonic anemometers and self-tunable chaotic TRNGs. His publications span sensor design, environmental technology, and hardware security, reflecting a commitment to bridging theoretical advancements with real-world implementation challenges.
Ada Fort is an Associate Professor in the Department of Information Engineering and Mathematics at the University of Siena, Italy. Her research focuses on advanced sensor systems, including environmental monitoring, biomedical instrumentation, and IoT applications. She holds a Laurea in Electronic Engineering (1989) and a Ph.D. in Nondestructive Testing (1992) from the University of Florence. Key research areas include wearable sensors for air quality monitoring, magnetic detection of contaminants, and QCM-based biosensors. Her work integrates machine learning for signal processing and fault detection in industrial and environmental systems. Notable projects involve self-sufficient IoT nodes powered by solar energy and low-cost sensor networks for agriculture and healthcare. Publications highlight innovations in sensor design, data imputation for environmental monitoring, and entropy-based security systems. Her contributions span interdisciplinary fields, linking engineering principles with applications in healthcare, agriculture, and climate science.
Calogero Maria Oddo is an Associate Professor at Sant’Anna School of Advanced Studies, affiliated with the BioRobotics Institute and Department of Excellence in Robotics and Artificial Intelligence. He leads the Neuro-Robotic Touch Laboratory, coordinating a team of 25+ researchers. His work bridges neuroscience and engineering, focusing on tactile sensing, neuroprosthetics, and biomedical robotics. He holds a national qualification as Full Professor of Bioengineering and serves in academic governance roles, including Vice-Coordinator of the BioRobotics PhD program and President of the University Committee for Equal Opportunities. His research has been featured in top journals like Nature Machine Intelligence and recognized by prestigious awards such as the Feltrinelli Prize under 40 (2023). Education BSc in Electronic Engineering (University of Pisa, 2005, 1st in cohort) MSc in Electronic Engineering (University of Pisa, 2007, Excellence Track) PhD in Innovative Technologies (Sant’Anna School of Advanced Studies, 2011) Graduate of Sant’Anna Honours College (2008, 2006) Research Interests His lab develops tactile sensors inspired by human neurophysiology, with applications in bionic prostheses, robotic surgery, and healthcare. Key areas include neuromorphic engineering, mechanotransduction, and sensory feedback systems. Collaborations span institutions like the National Research Council, University of Pisa, and international partners such as École Normale Supérieure. Grants & Awards Coordinator of €10M+ in research funding from EU, Italian ministries, and private foundations Contributions to technology transfer via RoboIT and the ARTES 4.0 Competence Center Labs & Teams Leads the Neuro-Robotic Touch Lab and collaborates with the N2Lab (National Research Council), focusing on clinical translation of tactile technologies.
Davide Dalmazzo is an Associate Professor in the Department of Environment, Land and Infrastructure Engineering (DIATI) at Politecnico di Torino, Italy. He specializes in Roads, Railways, and Airports (SSD ICAR/04) and serves as the technical manager of teaching and research activities for asphalt binders at the High Quality Experimental Laboratory of Innovative and Recycled Materials for Civil Engineering Infrastructures. He has been affiliated with Politecnico di Torino since his post-doctoral research (2009–2014), progressing from Assistant Professor (2014–2017) to his current role. His research is centered on sustainable and innovative materials for transportation infrastructure, with a strong emphasis on asphalt technology, recycling, and rheology. Key areas include: Characterization and modeling of bituminous materials Use of recycled plastics and reclaimed asphalt pavement (RAP) Development of sustainable pavement solutions Rheological testing and performance modeling of binders and mixtures Low-temperature behavior and fracture resistance of asphalt His recent publications reveal a consistent focus on circular economy principles in pavement engineering, particularly through projects like Green Roads, which explores plastic-modified asphalt. He frequently employs advanced testing methods such as the Monotonic Torsional Loading (MTL) test and contributes to RILEM standardization efforts. His work bridges laboratory research with practical applications in road construction and maintenance. Scientific contributions include: Co-inventor of a national patent on workability testing equipment for asphalt and granular materials Active participation in competitive and commercial research projects Regular publication in high-impact journals such as Construction and Building Materials , Materials , and Road Materials and Pavement Design Davide Dalmazzo advises several PhD students, including Davide Cimenti, Aliasghar Akbari Nasrekani, Joseph Nicolas La Macchia, and previously Sadegh Yeganeh. He is also involved in multiple research grants and contracts, particularly those focused on sustainable materials and infrastructure resilience. He leads or contributes to teaching in Bachelor’s, Master’s, and PhD programs in Civil Engineering, with courses on pavement engineering, rheology, and infrastructure maintenance. He is a key member of the Interdepartmental Center SISCON, focusing on infrastructure safety. He is actively engaged in laboratory research and leads experimental efforts in innovative material development, particularly for rural and low-volume roads. His work supports UN Sustainable Development Goals 9 (Industry, Innovation, and Infrastructure) and 13 (Climate Action).
Giulio Marchese is an Associate Professor at the Department of Applied Science and Technology (DISAT) within the Polytechnic University of Turin. He is a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing and actively contributes to the School of Industrial and Information Engineering. His research focuses on advanced additive manufacturing techniques for metallic materials, including electron beam powder bed fusion (EB-PBF) and laser powder bed fusion (LPBF), with applications in aerospace, automotive, and biomedical fields. Research Interests: Giulio's work spans additive manufacturing, materials engineering, advanced metallic materials, and production technology. He explores novel alloys like TiAl and Ni-based superalloys, optimizes process parameters, and investigates post-processing treatments such as hot isostatic pressing (HIP) and heat treatments to enhance mechanical properties. Publications: His recent articles highlight trends in metal additive manufacturing, including microstructure analysis of EB-PBF molybdenum, TiC composites, CuCrZr alloys, and process optimization for aerospace-grade materials. His studies often address residual stress, thermal exposure effects, and interface characterization. Advising & Collaborations: Giulio supervises PhD students in Materials Science and Technology, including Samuele Di Sturco, Serena Lerda, Hanieh Bakhshifarkoush, and Cristian Ghibaudo. He collaborates with research groups like Additive Manufacturing (DISAT), Metallic Materials (DISAT), and High-Temperature Materials (DISAT), and contributes to courses across Materials Engineering, Aerospace, and Automotive programs.
Mauro Giorcelli is an Associate Professor at Politecnico di Torino, Italy, affiliated with the Department of Applied Science and Technology (DISAT). He holds a PhD in Physics (2009) and previously earned a degree in Electronic Engineering (2004). Dr. Giorcelli is a carbon materials specialist with over 10 years of experience, focusing on low-cost carbon materials derived from recycled biomasses, particularly biochar. His research interests span carbon materials, biochar, activated carbon, biopolymers, and Raman spectroscopy. Dr. Giorcelli's work falls under the scientific branch of Experimental Physics of Matter and Applications (PHYS-03/A) with ERC sectors in environmental chemistry, spectroscopic techniques, and surface science. His research aligns with multiple UN Sustainable Development Goals including clean water, industry innovation, sustainable cities, responsible consumption, and climate action. Dr. Giorcelli's publication record shows a consistent focus on biochar applications, particularly in water purification, composite materials, and electromagnetic properties. His most recent work (2023-2025) demonstrates increasing sophistication in biochar applications, moving from fundamental characterization to real-world implementation in water treatment and advanced composite development. The research shows strong interdisciplinary connections between materials science, environmental engineering, and sustainable technology development. His research is conducted through the Institute of Fundamental Physics and Materials for Nanotechnology at DISAT, utilizing specialized laboratories including the Carbon Materials Characterization Laboratory, Carbon Materials Synthesis Laboratory, and Nanomaterials for composites and photocatalysis Laboratory. Dr. Giorcelli actively teaches Physics I and II across multiple engineering programs at Politecnico di Torino, including Aerospace Engineering, Mechanical Engineering, and Computer Engineering. He teaches in both Italian and English, demonstrating international engagement. His current research projects include ICELESS (2023-2025) as Scientific Responsible, focusing on innovative biochar applications.
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.
Maurizio Bevilacqua serves as a Full Professor in the Department of Industrial Engineering and Mathematical Sciences at the University of Ancona (Università Politecnica delle Marche). His academic focus falls under the scientific sector IIND-05/A - Impianti industriali meccanici (Mechanical Industrial Plants). Based at the university's Engineering faculty located at Via Brecce Bianche in Ancona, Italy, Professor Bevilacqua maintains an active research profile with numerous publications spanning industrial engineering, digital transformation, and smart manufacturing technologies. Professor Bevilacqua's research interests center on cutting-edge industrial engineering topics including Digital Twin technology, Industry 4.0 implementation, smart retrofitting of industrial machinery, maintenance engineering, and robotics applications in manufacturing. His work demonstrates particular expertise in applying these technologies to challenging sectors such as oil and gas, food manufacturing, and maritime transportation. His research bridges theoretical innovation with practical industrial applications, as evidenced by his numerous case studies across different manufacturing sectors. An analysis of his recent publications (2023-2025) reveals a strong emphasis on digital transformation in industrial settings, with particular focus on Digital Twin implementations across various sectors. His work shows a progression from foundational Industry 4.0 concepts toward more sophisticated applications including Digital Triplet frameworks and human-machine integration approaches that anticipate Industry 5.0 paradigms. Many of his studies combine multiple advanced techniques such as machine learning, fuzzy cognitive maps, and association rule mining to solve complex industrial problems. Professor Bevilacqua's research demonstrates strong industry collaboration, with numerous case studies conducted in real industrial settings across multiple sectors including oil and gas, food manufacturing, and maritime transportation. While specific grant information isn't provided in the available materials, his extensive publication record suggests active participation in research projects that bridge academic theory with practical industrial implementation. His work frequently addresses challenges related to legacy system modernization, operational resilience, and sustainable manufacturing practices. Though specific laboratory affiliations aren't detailed in the available information, Professor Bevilacqua's research appears to focus on industrial applications of digital technologies, suggesting collaboration with industrial partners and possibly university research centers focused on manufacturing innovation, robotics, and industrial IoT. His work on smart retrofitting solutions indicates involvement with projects that transform conventional machinery into intelligent systems capable of integration within modern digital manufacturing ecosystems.
Paolo Castellini is an Associate Professor at the Department of Industrial Engineering and Mathematical Sciences, Università Politecnica delle Marche (UNIVPM). His research focuses on mechanical measurements, vibration analysis, and advanced imaging techniques. He teaches courses in the College of Engineering and has published extensively on applications of hyperspectral imaging, 3D scanning, and neural networks in industrial and biomedical contexts. Office hours: Monday-Friday, 08:30-13:00 Email: p.castellini@univpm.it Location: via Brecce Bianche, 12, Ancona Recent research trends include vibration decoupling metastructures, microplastic detection in biological samples, and UAV-based photogrammetric analysis of olive trees. His publications emphasize non-destructive testing, acoustic beamforming, and uncertainty evaluation in measurement systems. Notable projects involve mmWave radar displacement analysis, cardiac simulators for prosthetic valves, and light-controlled polymer films for mechanical motion.
Simone Bianco is an Associate Professor at the Department of Informatics, Systems and Communication (DISCo) of the University of Milano-Bicocca, Italy. His academic and research contributions span computer vision, artificial intelligence, machine learning, and optimization algorithms applied to multimodal and multimedia systems. His educational background includes a PhD in Computer Science (2010) and BSc/MSc degrees in Mathematics (2003/2006), both from the University of Milano-Bicocca. Bianco’s research focuses on color constancy, deep learning for video restoration, neural architecture search, and computational color imaging, with a strong emphasis on practical applications like biometric recognition, medical imaging, and environmental monitoring. The 15 most recent articles (2025–2020) highlight trends in computer vision, including uncertainty estimation in color constancy, portable material appearance modeling, temporal consistency in low-light videos, and advanced deep learning architectures for image and video processing. His work often integrates photogrammetry, sensor technology, and multimodal data analysis. Scientific accolades include recognition on Stanford University’s World Ranking Scientists List for achievements in artificial intelligence and image processing. Bianco also serves as R&D Manager for the University of Milano-Bicocca spin-off Imaging and Vision Solutions and contributes to international conferences and workshops.
Dr. Soufiane Krik is a postdoctoral researcher at the Free University of Bolzano , affiliated with the Faculty of Engineering . His work focuses on sensing technologies , particularly developing flexible and sustainable electronic components via advanced printing methods. His research bridges materials science , nanotechnology , and green electronics . Education: Ph.D. in Physics, University of Ferrara (2021) M.Sc. in Physics and New Technologies, University of Casablanca (Physics Department) Dr. Krik's research spans chemiresistive gas sensors , Density Functional Theory (DFT) simulations , and biodegradable substrates for flexible electronics. Recent work explores Agave silk fibers , cellulose-based thermal sensors , and transient zinc sensors for biomedical applications. His publications (2018–2025) highlight expertise in metal oxide sensors , quantum dot functionalization , and environmentally friendly materials . He investigates oxygen vacancy dynamics , conjugated polymers , and biomaterial integration for next-generation sensors.
