جست‌وجوی استاد و پژوهشگر

Edwin A. Marengoمشاهده پروفایل

دانشیار

• Electromagnetic Imaging
• Inverse Scattering
• Wavefield Imaging
• +۱۴ مورد دیگر

Edwin A. Marengo is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, Boston, Massachusetts. He holds a Ph.D. in Electrical Engineering from Northeastern University (1997), where he is currently a tenured faculty member. His academic journey began with a B.S. in Electromechanical Engineering from the Technological University of Panama (1990), where he graduated as valedictorian and Summa Cum Laude. His research is centered on electromagnetic imaging, inverse scattering, physics-based signal processing, and information theory. He has made significant contributions to time-reversal imaging, compressive sensing, optical theorem applications, and radar signal processing. His work bridges theoretical electromagnetics with practical applications in secure communications, medical imaging, and distributed sensing. The trends in his recent publications reflect a strong focus on coherent change detection , scattering-based encryption , data-driven imaging , and the application of the optical theorem in radar and optical systems. His work increasingly integrates compressive sensing and nonlinear inverse methods to solve complex imaging problems in noisy and multipath environments. His scientific honors include: National Science Foundation (NSF) CAREER Award (2008) Fulbright Scholar (1992–1994) Technological University of Panama Most Distinguished Alumnus (2008) Elected Member of URSI Commission B (2006) Senior Member of IEEE and member of OSA, Phi Kappa Phi, Eta Kappa Nu, and Tau Beta Pi Dr. Marengo has advised students and supervised research at both Northeastern and the Technological University of Panama. He has served as an Associate Editor for IEEE Transactions on Computational Imaging and IEEE Transactions on Image Processing, and is currently on the editorial board of SpringerPlus. He has led major research grants from the NSF, AFOSR, and U.S. Army Research Laboratory. He is actively involved in professional service, including organizing conference sessions, reviewing for top journals, and mentoring student honor societies. He has also held visiting positions at Boston University (2013) and Tufts University (2020), and has been an invited speaker at institutions in the U.S., Panama, Italy, Sweden, Finland, Chile, and the U.K.

• High Voltage Engineering
• Electrical Power Systems
• Signal Processing
• +۳ مورد دیگر

Professor Paul L. Lewin is a distinguished academic at the University of Southampton, serving as Professor and Head of Electrical Power Engineering within the School of Electronics and Computer Science. He also directs the Tony Davies High Voltage Laboratory and actively supervises PhD students. With over three decades of academic service since joining the university staff in 1989, Professor Lewin has established himself as a leading expert in high voltage engineering and control systems. Professor Lewin received his BSc (Hons) and PhD degrees in electrical engineering from the University of Southampton in 1986 and 1994, respectively. His educational background forms the foundation for his extensive contributions to power engineering education, including developing the MSc in Energy and Sustainability with Electrical Power Engineering (2009) and BEng/MEng in Electronics and Electrical Engineering (2011). Professor Lewin's research spans high voltage engineering and control systems, with particular expertise in condition monitoring of HV cables and plant, surface charge measurement, HV insulation/dielectric materials, and applied signal processing. His work in automation focuses on practical applications of repetitive control and iterative learning control algorithms. Recent publications reveal a strong emphasis on sustainable power systems, with significant research on natural ester insulation fluids, thermal management of power cables, and integration of renewable energy sources. His scholarly contributions demonstrate consistent excellence in electrical engineering research, particularly in advancing the understanding of dielectric materials, power cable systems, and renewable energy integration. The publications show a clear trajectory toward more sustainable electrical infrastructure solutions, with increasing focus on environmental considerations in power engineering. Chartered Engineer Fellow of the IET Fellow of IEEE General chair of IEEE International Conference on Solid Dielectrics 2007 General chair of IEEE Electrical Insulation Conference 2015 President of the IEEE Dielectrics and Electrical Insulation Society (2016-17) Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation Professor Lewin has secured over £34 million in research funding since 1996 and has successfully supervised 50 graduate students to completion of their doctoral theses. His leadership extends to directing the Tony Davies High Voltage Laboratory and overseeing major research projects like ADAPT (Ageing Dynamics and Analysis of Power Transformers) and CABLEGNOSIS. His educational initiatives include a £150,000 HE-STEM grant to develop e-learning resources for power industry engineers. Based at the Tony Davies High Voltage Laboratory, Professor Lewin leads a research group focused on electrical power engineering, collaborating with researchers including Dr. Thomas Andritsch, Dr. George Callender, and Professor Richard Brown. His team works on cutting-edge projects addressing critical challenges in power transmission, insulation materials, and sustainable energy infrastructure.

Paul Spencerمشاهده پروفایل

استاد

• Semiconductor Laser Dynamics
• Optical Feedback Effects
• Pulse Propagation
• +۷ مورد دیگر

Professor Paul Spencer is a distinguished academic at Bangor University, serving as Pro Vice-Chancellor (Research) and Professor within the College of Science and Engineering. He holds a B.Sc. in Applied Physics and a Ph.D. in Electronic Engineering from the University of Bath, earned in 1990 and 1994 respectively. His academic journey at Bangor began in 1996, progressing from Lecturer (1998) to Senior Lecturer (2003), and achieving a Personal Chair in 2006. He has held significant leadership roles, including Head of the School of Electronic Engineering (2007–2014), Dean of the College of Physical and Applied Sciences (2009–2018), and Dean of the College of Environmental Sciences and Engineering (2018 onward). B.Sc. in Applied Physics, University of Bath (1990) Ph.D. in Electronic Engineering, University of Bath (1994) His primary research interests lie in semiconductor laser dynamics, optical feedback effects, pulse propagation, and the optical waveguide properties of optoelectronic devices. He also explores interdisciplinary applications of electromagnetic techniques. His work has significantly advanced the fields of optical chaos communication and microwave photonics, particularly through the use of vertical-cavity surface-emitting lasers (VCSELs). The recent publications (2016–2020) demonstrate a consistent focus on generating, stabilizing, and concealing chaotic signals in VCSELs for secure communication and high-frequency photonic signal generation. Key trends include broadband chaos, photonic microwave generation, and time-delay signature concealment, indicating a strong emphasis on both fundamental laser physics and practical applications in secure communications and signal processing. Science, Engineering and Technology (SET) Best Engineering Poster Award (2000) Professor Spencer has been a Principal Investigator (PI) or Co-Investigator (CI) on numerous research grants totaling millions of pounds, funded by EPSRC, EU, Welsh Government (WG), and other agencies. Notable projects include the £6M Ser Cymru programme and the Versatile Frequency-Shifted Feedback Laser Diodes project. He has supervised multiple PhD students and research projects, and continues to accept new PhD candidates. His research is supported by extensive collaborations with institutions in Spain, Uruguay, India, Japan, and Australia. He has also contributed to the academic community through roles such as Treasurer of the Semiconductor Physics Group (IOP) and as a guest editor for a special issue of IEE Optoelectronics. Professor Spencer leads and participates in active research labs and teams focused on semiconductor and photonic technologies. His leadership in the Semiconductor and Photonic KTC and the ASTUTE project highlights his role in fostering innovation and industry collaboration. His current research continues to explore advanced topics in optoelectronics and interdisciplinary applications.

Xianzhi Zhangمشاهده پروفایل

مدرس ارشد

• Manufacturing Informatics
• Intelligent Manufacturing
• Cloud Manufacturing
• +۱۳ مورد دیگر

Xianzhi Zhang is a Senior Lecturer in Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield, United Kingdom. He is an Associate Member of both the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems and High-Performance Computing. He is currently accepting PhD students and actively supervising research in advanced manufacturing and intelligent systems. Research Interests: His expertise lies in manufacturing informatics and the integration of manufacturing systems. He specializes in intelligent manufacturing, cloud manufacturing, Big Data applications in manufacturing, STEP-NC standards, and Computer-Aided Process Planning (CAPP). His work supports sustainable industrialization and aligns with UN Sustainable Development Goals. He applies data-driven methods and knowledge management to improve manufacturing efficiency and interoperability in Industry 4.0 environments. Recent Research Trends: Analysis of his latest publications (2020–2023) reveals a strong focus on smart manufacturing technologies, including real-time condition monitoring in additive manufacturing using acoustic emissions, development of advanced composite materials for electromagnetic shielding, and optimization of machining processes through friction modeling. His interdisciplinary work spans materials science, biomedical engineering, and industrial informatics. Professional Activities: He is a member of the Institution of Engineering & Technology (IET) and has delivered multiple oral and invited presentations on interoperable manufacturing, process planning, and connected vehicles. His research output includes 29 publications with significant citations, particularly in engineering and materials science domains. Advising and Grants: He is actively involved in PhD supervision and encourages prospective students to pursue research in his areas of expertise. While specific grants are not listed, his past involvement in EU projects such as 'Dematerialisation of machine tools' and STEPMAN indicates a history of externally funded research. Labs and Research Centers: He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems and High-Performance Computing at the University of Huddersfield, contributing to interdisciplinary research in high-performance engineering systems.

Julie A. Jacksonمشاهده پروفایل

استاد

• Radar Systems
• Synthetic Aperture Radar (SAR)
• Polarimetric SAR
• +۷ مورد دیگر

Dr. Julie A. Jackson is a Professor of Electrical Engineering in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology (AFIT), part of the Graduate School of Engineering and Management. She holds a Ph.D. in Electrical Engineering from The Ohio State University (2009), an M.S. (2004), and a B.S. (2002) from Wright State University. Her work bridges theoretical and applied radar systems, with emphasis on synthetic aperture radar, signal processing, and electromagnetics. Ph.D., Electrical Engineering, The Ohio State University, 2009 M.S., Electrical Engineering, The Ohio State University, 2004 B.S., Electrical Engineering, Wright State University, 2002 Dr. Jackson's research focuses on radar systems , particularly synthetic aperture radar (SAR) , compressive sensing , polarimetric imaging , and passive radar using commercial signals . She develops advanced signal processing algorithms for feature extraction, autofocus, and clutter modeling. Her work enables high-resolution imaging in challenging environments and has been applied to both military and civilian remote sensing. Her recent publications show a strong trend in exploiting sparsity and crosstalk in polarimetric SAR, autofocus algorithms using convex optimization, and passive radar using LTE and WiMAX signals. These efforts reflect a deep integration of electromagnetic theory, statistical signal processing, and computational imaging. Dr. Jackson has received numerous accolades, including: 2023 EN Distinguished Teaching Professor Award 2022 John L. McLucas Basic Research Award 2020 Air Force Outstanding Scientist/Engineer Award (Mid-Career) 2019 IEEE Fred Nathanson Memorial Radar Award 2019 Gage H. Crocker Outstanding Professor Award 2016 SOCHE Faculty Excellence Award She has advised multiple graduate students and led collaborative research with faculty and laboratory technicians at AFIT. Her work has been supported by internal Air Force research funding and has resulted in peer-reviewed publications, patents, and real-world radar applications. Dr. Jackson also holds a U.S. patent on polarization recovery in SAR systems, highlighting the translational impact of her research. She is actively involved in the IEEE Aerospace and Electronic Systems Society and contributes to the advancement of radar technology through publications, conferences, and mentorship. Her laboratory work emphasizes experimental validation of theoretical models, particularly in heterogeneous clutter environments and multistatic configurations.

Waled Ghethمشاهده پروفایل

مدرس

• Internet of Things (IoT)
• Wireless Communication
• Energy Efficiency
• +۳ مورد دیگر

Waled Gheth is a Lecturer in Electrical and Electronic Engineering at the Department of Engineering , School of Computing and Engineering , University of Huddersfield, UK. His research focuses on wireless and optical communication systems, with applications in Internet of Things (IoT), energy efficiency, and railway communication networks. Expertise : IoT networks, Visible Light Communication (VLC), wireless sensor systems, railway communication infrastructure. Key Publications : Surveys on high-speed railway communication systems, green IoT energy efficiency, hybrid VLC/RF systems, and cooperative relaying techniques. Collaborations : Active external collaborations in telecommunications and sustainable technologies across multiple institutions. His work aligns with UN Sustainable Development Goals (SDGs), particularly in technology-driven sustainability. Current affiliations include IEEE and the University of Huddersfield's research groups in communication systems and IoT.

Stoicuta Olimpiuمشاهده پروفایل

دانشیار

• Control Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Associate Professor Olimpiu Stoicuta is affiliated with the Polytechnic University of Timișoara's Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering. His research focuses on advanced control systems for electrical motors, renewable energy integration, and econometric analysis of energy policies. He has extensive expertise in sensorless vector control, induction motor modeling, and optical communication technologies. Education details are not explicitly stated in the provided text, but his work indicates a strong background in electrical engineering and control systems. He has published widely on topics including adaptive observers, energy transformation systems, and underground communication solutions. His research interests span multiple domains: (1) Electrical Engineering with emphasis on motor control and power electronics; (2) Renewable Energy focusing on system integration and efficiency improvements; (3) Data Communication involving LiFi and optical networks for industrial applications; and (4) Econometric Modeling related to energy policy analysis in Romania and the EU. Recent publications (2020-2025) highlight trends in AI-driven network optimization, sensorless motor control advancements, and energy policy studies. Articles frequently address practical engineering challenges like underground communication reliability and EV autonomy enhancement. No specific awards or grants are mentioned, though his prolific publication record suggests sustained research activity. Laboratory and team involvement can be inferred through his work on robotics (exoskeleton control) and collaborative projects in industrial automation systems.

Xabier Cid Vidalمشاهده پروفایل

استاد

• High Energy Physics
• Particle Physics
• B Decays
• +۳ مورد دیگر

Xabier Cid Vidal is a Professor in the Department of Particle Physics at the University of Santiago de Compostela, affiliated with the Faculty of Physics and the Galician Institute of High Energy Physics (IGFAE). His research focuses on high energy physics, particularly using Large Hadron Collider (LHC) data to study particle decays, CP violation phenomena, and exotic hadron states. He completed his PhD in 2012 under Dr. José Angel Hernando Morata and Dr. Bernardo Adeva Andany, investigating rare B meson decays at LHCb. Key research areas include B physics, heavy flavor spectroscopy, and precision measurements of particle lifetimes/branching fractions. His work contributes to LHCb experiments analyzing quark-gluon plasma effects, resonance spectroscopy, and searches for physics beyond the Standard Model. Recent studies involve angular distribution analyses, Bose-Einstein correlations, and coherence effects in ultraperipheral collisions. Publications emphasize rare decay channels (e.g., B→Kμμ, pentaquark searches), CP asymmetry measurements, and jet substructure characterization. He collaborates in the Smart@HEP group exploring machine learning applications for new physics discovery. No major awards are explicitly listed, though his contributions to LHCb analyses are significant. Active in detector optimization projects like Parallel-Plate Avalanche Counters and long-lived particle reconstruction techniques downstream of the LHCb magnet.

Herbert De Gersemمشاهده پروفایل

استاد

• Electromagnetic Field Theory
• Computational Electromagnetics
• Particle Accelerator Physics and Technology
• +۶ مورد دیگر

Prof. Herbert De Gersem is a Full Professor at the Technische Universität Darmstadt, leading the Computational Electromagnetics Laboratory within the Department of Electrical Engineering and Information Technology. Previously, he held a professorship at KU Leuven (Belgium) from 2006 to 2014, focusing on wave propagation and signal processing. His academic journey began as a research assistant at TU Darmstadt and KU Leuven from 1995 to 2006, specializing in computational electromagnetics and electromagnetic field theory. His research spans electromagnetics, computational electromagnetics, and particle accelerator physics, with applications in electric machines, high-voltage technology, and high-frequency components. Key projects include simulations for muon colliders, rotor optimization in axial flux machines, and thermal analysis of HVDC cable joints. He collaborates on advanced topics like foil winding homogenization and magneto-thermal quench simulations for superconducting magnets. Prof. De Gersem’s publications emphasize innovative numerical methods, such as adjoint sensitivity analysis and data-driven modeling, alongside experimental validation. His work bridges computational theory with practical engineering challenges, addressing energy efficiency, thermal management, and high-performance accelerator design. Despite no listed scientific awards, his extensive contributions to the field are evident through his prolific research output and international conference participation. His academic advising and mentorship are integral to his role, though specific student names are not documented here. Ongoing projects involve interdisciplinary collaborations, including hybrid modeling approaches for engineering systems and optimization strategies for electric machine design under thermal constraints.

Gerd Griepentrogمشاهده پروفایل

استاد

• Power Electronics
• Electric Drives
• Renewable Energy Systems
• +۴ مورد دیگر

Prof. Gerd Griepentrog is a Full Professor at TU Darmstadt's Institute for Power Electronics and Control of Drives. Previously, he held leadership roles at Siemens AG's Corporate Technology division (2002–2013). His research focuses on power electronics, electromagnetic compatibility, and grid stability in high-frequency converter systems. Key interests include active power filters, common-mode noise mitigation, and advanced modulation techniques for motor drives. Education: Ph.D. in Automation and Power Engineering (1993–1996), TU Chemnitz Diploma in Automation and Power Engineering (1988–1993), TH Zwickau/Chemnitz Research Interests: Development of high-efficiency power electronic converters EMC solutions for industrial drives and renewable energy systems Integration of Industry 4.0 communication protocols (e.g., OPC UA) in drive systems Cybersecurity analysis of power grids via harmonic distortion patterns Recent Work Trends: Focus on SiC and GaN semiconductor applications for high-frequency converters Advancements in common-mode voltage reduction techniques Hybrid EMI filtering strategies combining capacitors and active components Awards: None explicitly listed. Grants & Labs: Active in collaborative projects involving fusion reactor power supplies (e.g., ASDEX Upgrade). Leads experimental work on supercapacitor-based pulsed power systems for tokamaks.

• Signal Processing
• Image Processing
• Remote Sensing
• +۹ مورد دیگر

JAVIER CALPE MARAVILLA is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. He is a key member of the Image and Signal Processing (ISP) research group and affiliated with the ERI Image Processing Laboratory (IPL). His work bridges academic research and industrial applications in electronics and signal processing. Research Interests: His research spans signal and image processing, remote sensing, hyperspectral imaging, machine learning for classification, biophysical parameter estimation, analog microelectronics, and sensor systems. He focuses on developing algorithms for cloud screening, vegetation stress detection, ECG signal analysis, and industrial sensing applications. The recent publications (2009–2021) highlight a strong trend in applying kernel methods, neural networks, and adaptive filters to remote sensing and biomedical signals. His work emphasizes practical implementations in industrial and environmental monitoring, including touchscreens, AOTF-based imaging, and low-power circuit design. Education: Ph.D. in Electronics, Universitat de València (1994), with thesis on spectral estimation techniques. Scientific Awards: Advising and Grants: While no explicit list of students or grants is provided, his academic rank and publication record suggest experience in supervising postgraduate research. He has contributed to educational curriculum development, particularly in analog microelectronics. No funding sources are mentioned in the text. Labs and Teams: He is actively involved in the ISP (Image and Signal Processing) research group and the ERI Image Processing Laboratory (IPL) at the University of Valencia, focusing on both theoretical and applied research in electronic systems and data analysis.

• Electromagnetic Modeling
• Antenna Design and Optimization
• Computational Electromagnetics
• +۱۲ مورد دیگر

Nebojša S. Doncov is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, where he is affiliated with the Department of Telecommunications. He has been a leading academic and researcher in computational electromagnetics and antenna systems since earning his PhD in 2002 from the same institution. His research interests include: Computational Electromagnetics, particularly the Cylindrical TLM Method Antenna Design and Optimization using AI and Neural Networks Wearable and Smart Textile Antennas Direction of Arrival (DoA) Estimation Electromagnetic Compatibility and High-Frequency Modeling Biomedical and UAV-based GPR Applications His recent publications show a strong trend toward integrating artificial intelligence with electromagnetic modeling, especially in wearable and conformal antenna systems. He has published extensively in top IEEE and Wiley journals, with a focus on numerical methods and practical antenna applications for wireless and biomedical systems. His scientific awards include: URSI Young Scientist Award (2002) Aleksandar Marinčić Award (2017) Best Diploma Thesis Award (1995) Early Graduation Charter (1995) He has led or participated in numerous national and international research projects, including NATO Science for Peace, Royal Society International Exchange, and multiple COST Actions. He has advised students through research collaborations and co-authored works, though no formal list is provided. He has also contributed to academic education through textbooks and problem collections. He is actively involved in research labs and teams, including the Serbian research teams in SmartBridges, Predictive Design of Wearable Antennas, and Advanced UAV-Based GPR Imaging. He collaborates with institutions such as WIPL-D, University of Nottingham, and Technical University of Munich.

• Microwave Imaging
• Electromagnetic Scattering
• Inverse Problems
• +۵ مورد دیگر

Ann Franchois is a Full Professor at Ghent University in the Faculty of Engineering and Architecture, specifically within the Department of Information Technology (EA05). She is affiliated with the Internet Technology and Data Science Lab, where she leads research in electromagnetic imaging and inverse problems. Her academic career spans several decades with continuous contributions to the field of microwave and millimeter wave imaging. Professor Franchois specializes in microwave imaging , electromagnetic scattering , and inverse problems , with significant applications in biomedical imaging (particularly breast cancer detection) and non-destructive testing (for concrete structures and steel fiber analysis). Her research integrates advanced mathematical techniques including regularization methods, numerical optimization, and computational electromagnetics to solve complex imaging problems. She has developed innovative approaches such as value picking regularization, piecewise smoothing techniques, and Huber regularization for improving reconstruction quality in quantitative imaging. Her recent publications (2013-2023) demonstrate a consistent focus on advancing 3D and 2.5D electromagnetic modeling techniques, with particular emphasis on medical applications and non-destructive testing. The research shows an evolution from fundamental electromagnetic theory to practical applications, especially in breast cancer detection through microwave tomography. Her work often involves collaborations with experts in image processing and signal reconstruction. Professor Franchois has supervised several PhD students to completion, including Funing Bai (2010-2014), Sara Van den Bulcke (2010), and Jürgen De Zaeytijd (2009). She has secured research funding from prestigious organizations, notably the Research Foundation - Flanders (FWO) for projects such as "Scattering-type scanning near-field mm-wave microscope" (2008-2013). Her laboratory work centers around the Internet Technology and Data Science Lab at Ghent University, where she develops and applies advanced computational methods for electromagnetic imaging. Current research directions include improving the accuracy and efficiency of microwave imaging systems, particularly for medical diagnostics and structural assessment applications.

• Smart Cities
• Internet of Things (IoT)
• Wireless Networks
• +۷ مورد دیگر

Philip Leroux is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He serves as an IOF Innovation Officer at IMEC, focusing on smart city technologies and IoT infrastructure. His research interests span Smart Cities Internet of Things (IoT) Wireless Networks Context-Aware Systems Resource Provisioning Electromagnetic Field Monitoring . His recent publications analyze RF-EMF exposure sensing networks IoT-based resource provisioning frameworks 5G network anomaly detection semantic intelligence for media automation mobile application usage prediction . These works emphasize wireless network optimization, smart city infrastructure, and cross-disciplinary IoT solutions.

• Molecular Dynamics
• Condensed Matter Physics
• Biophysics
• +۳ مورد دیگر

Raffaello Potestio is an Associate Professor in the Department of Physics at the University of Trento and serves as Coordinator of the Doctoral Course in Physics. His research focuses on molecular dynamics, soft matter physics, and computational modeling of biological systems. He teaches courses such as Physics 2 (electromagnetism fundamentals), Multi-scale Methods in Soft Matter Physics, and Statistical Mechanics, emphasizing theoretical and computational approaches. His work integrates advanced simulation techniques, including adaptive resolution methods, to study complex systems like proteins, DNA, and viral capsids. He has contributed to tools like EXCOGITO for coarse-grained modeling and explored topics ranging from knot interactions in polymers to chromatin mechanics in diseases. His research bridges theoretical physics with applications in biophysics, materials science, and epidemiology. Education details are not explicitly provided in the text. His teaching activities span undergraduate and graduate levels, with a focus on equipping students with analytical and computational skills for modern physics challenges. His publications highlight contributions to multiscale modeling frameworks, protein dynamics, and data-driven analysis of mobility patterns during the pandemic. Collaborations involve interdisciplinary teams addressing both fundamental and applied questions in physics and biology. Labs and teams associated with his work include computational physics groups at the University of Trento, though specific lab names are not mentioned. His research emphasizes the development of novel algorithms and their application to diverse systems, reflecting a commitment to advancing both methodological and applied aspects of theoretical and computational physics.