جست‌وجوی استاد و پژوهشگر

Guillaume Morelمشاهده پروفایل

استاد

• Robotics
• Medical Robotics
• Human-Robot Interaction
• +۷ مورد دیگر

Guillaume Morel is a Professor of Robotics at Sorbonne University, where he currently serves as the head of the Institute of Intelligent Systems and Robotics (ISIR). He is a member of the ASIMOV research team, focusing on advanced robotics and human-robot interaction. His work is centered on medical robotics, particularly in surgical and assistive applications. His research interests include medical robotics , human-robot interaction , assistive and rehabilitation robotics , surgical robotics , prosthetics , and control systems . A key contribution is the concept of comanipulation, which integrates user and robotic sensory-motor loops to enhance assistance. His recent publications (2022–2024) reflect a strong focus on wearable robotics, surgical safety, and adaptive control. Articles frequently explore force control, bone breach detection, prosthetic control, and supernumerary robotic limbs, indicating a trend toward intelligent, responsive, and safe human-centered robotic systems. Hands-free teleoperation and virtual body-to-robot links Force and torque-based surgical safety in spine procedures Adaptive and closed-loop control for prosthetics Supernumerary and wearable robotic assistance Human locomotion and exoskeleton control Scientific Contributions and Leadership: Created the first CTI-certified robotics engineering program (2007) Founded the first INSERM-certified medical robotics research team (2010) Directed Carnot-Interfaces, an industrial partnership structure (2016) Holds multiple patents in medical robotics and surgical systems Guillaume Morel has supervised numerous researchers and students, contributing to advancements in prosthetics, surgical robotics, and human-robot collaboration. His work is supported by strong institutional affiliations and industrial partnerships. He leads the ISIR and is actively involved in guiding research teams, securing certifications, and fostering innovation in medical robotics. His lab, ASIMOV, is at the forefront of developing robotic systems that seamlessly integrate with human motor functions.

Jekan Thangaمشاهده پروفایل

دانشیار

• Space Robotics
• CubeSats and Small Spacecraft
• Swarm Robotics
• +۱۹ مورد دیگر

Jekan Thanga is an Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona’s College of Engineering, with a joint appointment in Electrical and Computer Engineering and status as a Member of the Graduate Faculty. He is the Head of the Space and Terrestrial Robotic Exploration (SpaceTREx) Laboratory and leads the NASA-supported ASTEROIDS Laboratory, focusing on innovative robotic systems for space and planetary exploration. Dr. Thanga earned his B.A.Sc. in Engineering Science (Aerospace) from the University of Toronto and his Ph.D. in space robotics from the University of Toronto Institute for Aerospace Studies (UTIAS). He completed a postdoctoral fellowship at MIT’s Field and Space Robotics Laboratory (FSRL) and gained industry experience at MDA Space Missions, working on the Canadarm and Orbital Express programs. His research is centered on autonomous robotic systems, including CubeSats, swarms, and sensor networks, for exploring extreme environments such as asteroids, lava tubes, and planetary surfaces. He employs multi-disciplinary optimization and bio-inspired neuro-evolutionary methods to design high-performance, unconventional robotic systems. His work spans propulsion, power, communications, and control, with applications in interplanetary missions, on-orbit servicing, and lunar/asteroid resource utilization. The 15 most recent publications highlight a strong trend toward autonomous systems for lunar and planetary construction, swarm-based exploration, inflatable and deployable structures, propulsion innovation (including solar thermal and steam systems), and cislunar surveillance. His team is advancing technologies for the Lunar Ark concept, lava tube exploration, debris avoidance, and in-situ construction using robot swarms and AI-driven design. Popular Mechanics Breakthrough Award (2016) Tech Briefs Top 5 Award, Aerospace/Defense (2017) HeroX CubeSat Challenge Winner (2017) MBR Mars Settlement Challenge Winner (2018) NASA RASCAL Winner and Finalist (2021) NASA BIG Competition Top 10 and Collaboration Award (2020) ASEE Teaching Award (2019) Subject Matter Expert Fellowship, US Special Forces SOFWERX (2019) Multiple Best Student Paper and Presentation Awards (2017–2021) Dr. Thanga has graduated over 60 students who now hold leadership roles in aerospace, defense, and IT. He is the Engineering PI on two CubeSat missions: the US Air Force-funded SWIMSat and AOSAT-1, a CubeSat centrifuge laboratory. His lab, SpaceTREx, fosters interdisciplinary collaboration and student-centric research, securing significant grants from NASA, NSF, and DoD. The lab is equipped with clean rooms, vacuum chambers, 3D printers, and air tables to support design, integration, and testing for extreme environments.

Jordan H Boyleمشاهده پروفایل

مدرس

• bio-inspired robotics
• surgical robotics
• 3D printing
• +۱۱ مورد دیگر

Dr Jordan H Boyle is a Lecturer in Engineering Systems at the School of Mechanical Engineering, University of Leeds, Faculty of Engineering and Physical Sciences. His research lies at the intersection of engineering, biology, and neuroscience, focusing on bio-inspired robotics derived from invertebrate behavior. He leads in the development of robust, low-cost, and adaptive robotic systems for operation in unpredictable environments. His expertise includes computational neuroscience, neural modelling, 3D printing, and robot locomotion. He is affiliated with the Robotics Institute and the Institute of Design, Robotics and Manufacturing at Leeds. BSc (hons) in Electrical Engineering, University of Cape Town MSc in Electrical Engineering, University of Cape Town PhD in Computational Neuroscience, University of Leeds Dr Boyle's research is driven by the philosophy of invertebrate biology—emphasizing simplicity, high deployability, and cost-efficiency in robotic systems. He investigates neuromechanical control in organisms like C. elegans and Aplysia californica to inform the design of autonomous robots capable of adaptive locomotion in complex terrains. His work combines computational modelling with advanced manufacturing techniques to create bio-mechatronic systems. Although no specific publications are listed in the provided text, his research outputs span bio-inspired robotics, surgical robotics, and computational neuroscience, indicating a strong interdisciplinary focus on adaptive control, locomotion mechanisms, and neural controllers. His work on a serpentine robot using a virtual C. elegans nervous system gained international media coverage. Scientific recognition includes: EPSRC PhD+ Fellowship Media features in New Scientist, Financial Times, BBC Radio Leeds, and The Gadget Show Dr Boyle supervises postgraduate researchers and contributes to undergraduate education, particularly in electronics and microcontrollers for product design students. He also serves as a personal tutor and project supervisor for Mechatronics students. His educational approach is hands-on, integrating lectures with practical lab sessions. He is the Mechatronics Programme Manager and Public Relations Liaison for the EPSRC National Facility for Innovative Robotic Systems, and continues to contribute to the CoDIR project in a supervisory role.

Naveen Vermaمشاهده پروفایل

استاد

• Integrated Circuits
• Low-Power Systems
• In-Memory Computing
• +۵ مورد دیگر

Naveen Verma is the Ralph H. and Freda I. Augustine Professor of Electrical and Computer Engineering at Princeton University, affiliated with the Andlinger Center for Energy and the Environment and the Princeton Materials Institute. His research focuses on low-power integrated circuits for emerging applications like biomedical systems, remote sensing, and in-memory computing accelerators. He leads the Verma Lab, which explores synergies between algorithms, circuits, and materials to enable pervasive intelligent systems. Education: Ph.D., Massachusetts Institute of Technology (2009) M.Sc., Electrical Engineering, MIT (2005) B.A.Sc., Computer Engineering, University of British Columbia (2003) Research Interests: His work spans ultra-low-power systems, in-memory computing architectures, large-area electronics for IoT/5G, and bio-inspired sensor systems. Key areas include analog biomedical signal processing, energy-efficient computing fabrics, and GHz-frequency circuit design using zinc-oxide TFTs. Publications: Recent work emphasizes scalable in-memory computing macros, GHz-frequency flexible electronics, and AI-driven hardware resilience. Major contributions include energy-efficient neural network accelerators and reconfigurable antennas using large-area electronics. Awards: AFOSR Young Investigator Program Award (2014) NSF CAREER Award (2013) IEEE Best Paper Awards (2015, 2016) Advising & Labs: Directs Verma Lab, mentoring 4 current advisees. Research outputs include over 150 peer-reviewed articles and patents on LAE-based systems. Collaborates with industry partners on next-gen AI hardware and energy-efficient IoT architectures. Lab Focus: Verma Lab pioneers hybrid systems combining CMOS and large-area electronics for applications like structural health monitoring, wearable biosensors, and wireless communication. Recent prototypes include sensing sheets for bridge damage detection and piezoelectric soft robots.

Ruben Gonzalez Rodriguezمشاهده پروفایل

استاد

• Tribology
• Surface Engineering
• Lubrication Science
• +۴ مورد دیگر

Ruben Gonzalez Rodriguez is a Professor in the Department of Mechanical Engineering within the Faculty of Science and Technology at Bournemouth University. His academic credentials include a PhD in Mechanical Engineering - Tribology (2007) and a BEng (Hons) in Marine Engineering (2000) from the University of Oviedo, where he received honors for the best academic record in the Higher Nautical School and an excellence award for his PhD thesis. PhD in Mechanical Engineering - Tribology (2007) BEng (Hons) in Marine Engineering (2000) His research focuses on tribology, surface engineering, and lubrication science, with particular expertise in ionic liquids, nanoparticles, and coatings as lubricant additives. His work has significant applications in wind turbine gearboxes, marine engines, and electric vehicle transmissions. Recent publications demonstrate his continued active research in deep eutectic solvents, waste heat recovery systems, and electrical compatibility of lubricants for electrified transmissions. His research trends show a consistent focus on sustainable lubrication solutions, with increasing attention to applications in renewable energy systems and electrified transportation. Recent work emphasizes the environmental properties of lubricants and their compatibility with emerging technologies. Honours Award for the Best Academic Record in the Higher Nautical School of University of Oviedo Excellence award for the best Ph.D. Thesis in the Department of Mechanical and Civil Engineering of Oviedo University Professor Gonzalez Rodriguez has successfully supervised PhD students including Ángel del Reguero Huerta (researching functionalized nanoparticles as lubricant additives) and Raquel Monge García (focusing on wind turbine gearbox optimization). He has secured multiple research grants from Spanish government entities including the Ministry of Economy and Competitiveness, Ministry of Science and Innovation, and the Principality of Asturias, totaling projects related to ionic liquids, wind turbine efficiency, laser cladding coatings, and marine engine applications. His research group appears to collaborate extensively with colleagues at University of Oviedo, particularly with Jose Viesca Rodriguez and A. Hernández Battez.

• Neuromorphic Engineering
• Embedded Artificial Intelligence
• Spiking Neural Networks
• +۱۳ مورد دیگر

Benoit Miramond is a Full Professor at Université Côte d’Azur, affiliated with the Laboratory of Electronics, Antennas and Telecommunications (LEAT) and Polytech Nice Sophia. He serves as Director of Research at the 3IA Côte d'Azur – Interdisciplinary Institute for Artificial Intelligence, and leads the eBRAIN Research Group focused on neuromorphic engineering. His research interests lie at the intersection of embedded systems, artificial intelligence, and neuroscience. He specializes in bio-inspired AI , spiking neural networks , event-based processing , and neuromorphic hardware architectures . His work emphasizes energy efficiency, real-time performance, and hardware-aware design for AI at the edge. The recent publications highlight a strong trend in embedded AI , neuromorphic computing , and energy-efficient sensor networks . His team explores hardware-aware neural architecture search, distillation for spiking networks, and FPGA-based implementations, demonstrating a consistent focus on deploying intelligent systems in resource-constrained environments. He is actively involved in national and interdisciplinary initiatives: Member of PEPR IA (EMERGENCES project) Scientific advisor at AICO Technology (startup) Member of the Scientific Committee of the NeuroMod Institute Member of GDR BioComp He advises several researchers and students in the fields of embedded AI and neuromorphic systems. His work is supported by institutional affiliations and collaborative grants, particularly through 3IA Côte d’Azur and PEPR IA. He contributes to advancing the next generation of edge intelligence through interdisciplinary research bridging hardware, algorithms, and cognitive principles. His research is conducted within the LEAT laboratory, a CNRS UMR7248 unit, where the eBRAIN group fosters innovation in bio-inspired computing and adaptive hardware systems.

Wei Leiمشاهده پروفایل

دانشیار

• Electrical and Electronic Engineering
• Materials Science & Engineering
• Nanotechnology & Nano-Science
• +۱۳ مورد دیگر

Assoc Prof Wei Lei is an Associate Professor with tenure at the School of Electrical & Electronic Engineering , Nanyang Technological University (NTU) , Singapore. He holds the Provost’s Chair in Electronics and serves as the Associate Chair (Research) and Director of the Centre for Optical Fibre Technology (COFT) . He earned his B.E. in Electrical Engineering from Wuhan University of Technology (China) in 2005 and his Ph.D. in Photonics Engineering from the Technical University of Denmark in 2011. He was a postdoctoral associate at the Massachusetts Institute of Technology (MIT), USA, before joining NTU in 2014 as a Nanyang Assistant Professor, rising to Associate Professor in 2019. B.E., Electrical Engineering, Wuhan University of Technology (2005) Ph.D., Photonics Engineering, Technical University of Denmark (2011) Dr. Lei's research centers on fiber-based devices , leveraging the preform-to-fiber fabrication technique to create multifunctional fibers with precise control over architecture and composition. His work spans smart fiber and textile electronics , bio-fiber interfaces , in-fiber energy generation and storage , and fiber sensors . These innovations support applications in wearable electronics, sensing, imaging, and neurotechnology. His lab advances scalable fabrication processes for flexible fiber devices, enabling kilometer-scale production with nanoscale precision. His research integrates principles from Materials Science , Nanotechnology , Optoelectronics , and Neuroengineering . Although specific publications and awards are not detailed in the provided text, his work is positioned at the forefront of advanced fiber technologies and smart materials . Dr. Lei leads a dynamic research group at COFT, contributing significantly to NTU’s reputation in photonics and electronic engineering. He has no listed scientific awards in the provided text. Dr. Lei advises graduate students in his lab, though specific names are not mentioned. He has not received any major research grants listed in this profile. His team at the Centre for Optical Fibre Technology operates at the intersection of engineering and materials science, pushing the boundaries of fiber device functionality. He leads the Centre for Optical Fibre Technology (COFT) at NTU, where his lab focuses on scalable fabrication of flexible fiber devices using thermal drawing techniques. The team develops multifunctional fibers for applications in sensing, energy, and biomedicine.

Farhad Farzbodمشاهده پروفایل

دانشیار

• Acoustic Metamaterials
• Biologically Inspired Materials
• Mechatronics
• +۴ مورد دیگر

Farhad Farzbod is an Associate Professor in the Department of Mechanical Engineering at the University of Mississippi's School of Engineering Education, where he has been a faculty member since 2015. He directs the Mechatronics & Vibration Lab (i-mechanics.com) and specializes in wave propagation, actuator design, and smart materials. His research integrates vibrations, mechatronics, and ultrasonic characterization techniques for applications in metamaterials and bio-inspired systems. Education: B.Sc. Mechanical Engineering, University of Tehran (2000) M.A.Sc. Mechanical Engineering, University of Toronto (2003) M.S. Mathematics, Georgia Institute of Technology (2009) M.S. Electrical Engineering, Georgia Institute of Technology (2010) Ph.D. Mechanical Engineering, Georgia Institute of Technology (2010) Dr. Farzbod's research explores acoustic metamaterials through periodic structures for sound manipulation; biologically inspired materials focusing on thermal fatigue resistance; novel electromechanical actuators using soft materials; and resonant ultrasound spectroscopy for material characterization. His work bridges theoretical modeling with experimental validation for aerospace, biomedical, and energy applications. His publications focus on wave dynamics, material characterization, and mechatronic systems, with recurring themes in resonant ultrasound spectroscopy, periodic structures, and actuator innovation. Recent work emphasizes adjustable wave filters, bio-material fatigue analysis, and anisotropic material properties. Teaching: Courses include Dynamics (ME 325), Linear Systems and Control (ME 543), Mechatronics (ME 537), and Vibration Analysis (Engr 558). Detailed syllabi are available via i-mechatronics.com and his YouTube channel. Patents: US #9547175: Adaptive piezoelectric array for bone conduction US #9596536: Microphone arrangement for voice isolation

Gerald Hempelمشاهده پروفایل

پژوهشگر

• Computer Architecture
• Embedded Systems
• High-Performance Computing
• +۴ مورد دیگر

Dr.-Ing. Gerald Hempel is a researcher at Dresden University of Technology (TU Dresden) with active contributions to computer architecture and embedded systems from 2015–2023. His work bridges hardware/software co-design through domain-specific languages and compiler techniques, primarily within the Faculty of Electrical and Computer Engineering context. His research spans: Domain-Specific Languages for hardware acceleration Memory optimization in high-performance computing Reconfigurable computing using FPGAs Many-core and heterogeneous system design Bio-inspired algorithms for robust system mapping Racetrack memory applications in brain-inspired cognition Publication analysis reveals consistent focus on compiler-driven hardware acceleration, particularly for computational fluid dynamics and cognitive systems. His work emphasizes memory architecture innovations (e.g., high-bandwidth memory, caching) and bio-inspired robustness techniques, often through collaborations like the EVEREST consortium for compilation frameworks. No scientific awards were documented in the source material. No student advising or grant information was provided in the available texts. Dr. Hempel collaborates within TU Dresden's research ecosystem, notably with the EVEREST consortium and chairs including Compiler Construction and Emerging Electronic Technologies. His work on tools like Mocasin demonstrates active participation in teams developing rapid prototyping frameworks for heterogeneous multi-core systems and FPGA-based accelerators.

Joshua Veazeyمشاهده پروفایل

دانشیار

• Experimental Condensed Matter Physics
• Thin-film Ferroelectrics
• Oxide Nanoelectronics
• +۵ مورد دیگر

Dr. Joshua Veazey is an Associate Professor of Physics at Grand Valley State University, affiliated with the Department of Physics in the College of Liberal Arts & Sciences. He obtained his Ph.D. (2011), M.S. (2006), and B.S. (2004) from Michigan State University and the University of Rochester, respectively. Education Ph.D. in Physics, Michigan State University (2011) M.S. in Physics, Michigan State University (2006) B.S. in Physics, University of Rochester (2004) Dr. Veazey's research spans Experimental Condensed Matter Physics , focusing on Thin-film Ferroelectrics , Oxide Nanoelectronics , and Biological Electron Transfer via Scanning Probe Microscopies (AFM, STM, PFM). His recent work emphasizes educational tools like tunneling microscopes for undergraduate labs and pedagogical reforms in physics instruction. His 15 most recent publications (2019–2024) highlight innovations in STEM education , quantum transport , and bio-nanoelectronic systems . These include studies on ballistic electron pairing , microbial nanowire conductivity , and ferroelectric device engineering . Scientific Awards Haynes Award for outstanding PhD Thesis University of Rochester Graduated with High Distinction Sigma Pi Sigma Honor Society Dr. Veazey has supervised undergraduate research mentees and secured grants through the Center for Scholarly & Creative Excellence. He serves as a referee for The Physics Teacher and organized the West Michigan Nanoscience and Quantum Technology Conference (2018–2019). His patent on Microbial Nanowires (US 08729233) reflects his interdisciplinary work.

Prakash Bhoiمشاهده پروفایل

دانشیار

• Renewable Energy
• Biomass Conversion
• Biofuels
• +۶ مورد دیگر

Prakash Bhoi is an Associate Professor in the Department of Mechanical Engineering at Georgia Southern University’s Allen E. Paulson College of Engineering and Computing. He also serves as the Engineering Team Lead for the Sustainable Fuels Research Network. Since joining in 2017, he has led federally funded projects and published extensively in renewable energy and biofuels. Education: Ph.D. in Biosystems Engineering – Oklahoma State University (2014) M.S. in Mechanical Engineering – Sardar Vallabhbhai National Institute of Technology (2005) B.S. in Mechanical Engineering – Sardar Patel University (1999) Research Focus: Dr. Bhoi’s work centers on renewable energy systems , biomass conversion , and sustainable fuel technologies . His research spans gasification , pyrolysis , biofuel production , carbon capture and storage , and life cycle assessment of energy systems. He explores co-firing of biomass and waste coal, CO₂ utilization in gasification, and catalytic upgrading of bio-oils. His recent publications demonstrate a strong trend toward integrating waste streams (plastics, biomass, coal refuse) into low-carbon energy systems , with emphasis on syngas quality , emission reduction , and economic feasibility . Projects & Grants: NSF: Elucidating co-gasification of biochar and waste plastics for net-zero hydrogen-enriched syngas (2022–2024) DOE/NETL: Feasibility study of coal refuse and torrefied biomass co-fired power plants (2022–2024) Labs & Teams: Dr. Bhoi leads the Sustainable Fuels Research Network and collaborates with national labs, industry, and international partners. His lab focuses on pilot-scale gasifiers, catalytic reactors, and life-cycle modeling tools.

Massimo Capobianchiمشاهده پروفایل

استاد

• Non-Newtonian Fluid Mechanics
• Heat Transfer
• Fluid Dynamics
• +۳ مورد دیگر

Massimo Capobianchi is a Professor in the Department of Mechanical Engineering at Gonzaga University's School of Engineering and Applied Science. With a Ph.D. from SUNY Stony Brook (1996), he has over 25 years of academic experience and previously worked ten years in military electronics industry. He holds a New York State Professional Engineering license.

Liam Maguireمشاهده پروفایل

استاد

• Data Analytics
• Machine Learning
• Bio-inspired Approaches
• +۳ مورد دیگر

Professor Liam Maguire is the Pro Vice-Chancellor Research at Ulster University and Executive Dean of the Faculty of Computing, Engineering and the Built Environment since 2016. He obtained MEng and PhD degrees in Electrical and Electronic Engineering from Queen’s University Belfast and joined Ulster University as a lecturer in 1994, becoming a Professor of Computational Intelligence in 2007. His research interests focus on data analytics , machine learning , and bio-inspired approaches , with applications in neural networks , healthcare , and semiconductor manufacturing . Recent work includes anomaly detection using convolutional autoencoders and modeling dementia progression with hidden Markov models. Scientific Awards Ulster University Research Excellence Award - Business Category (Under 50 employees) in 2019 Fellow of the Institution of Engineering and Technology Liam has established the Cognitive Analytics Research Laboratory (CARL) at Ulster and collaborates with colleagues from Queen’s University Belfast on AI initiatives in Northern Ireland. He contributes to UN Sustainable Development Goals through his interdisciplinary research.

Anton Krugerمشاهده پروفایل

استاد

• Embedded Systems
• Circuit Design
• Geophysical Measurements
• +۵ مورد دیگر

Anton Kruger is a Professor in the Electrical and Computer Engineering Department at the University of Iowa's College of Engineering with dual appointments as Faculty Research Engineer at IIHR—Hydroscience and Engineering and affiliation with the Iowa Flood Center. Joining the College of Engineering in 2003, Dr. Kruger has established a distinguished research program bridging electrical engineering with environmental monitoring applications. His educational background includes: PhD in Electrical and Computer Engineering, University of Iowa (1992) MS in Electrical Engineering, Potchefstroom University (1986) BS in Electrical Engineering, Potchefstroom University (1984) Dr. Kruger's research expertise spans embedded systems and software , advanced circuit techniques , and electronic circuits with applications in geophysical measurements , particle image velocimetry , and image processing . His work has produced innovative field instrumentation including the "Cybermussels" biological sensor network, river stage monitoring systems, and microwave-based crop water measurement technologies. He has developed practical solutions for environmental monitoring in challenging conditions where conventional sensors fail. Analysis of his 15 most recent publications (2018-2023) reveals three dominant research thrusts: agricultural monitoring using microwave radiometry (6 articles), freshwater sensor networks and antenna design (5 articles), and biomedical/oncological applications (4 articles). This demonstrates his ability to transfer electrical engineering principles across diverse application domains while maintaining technical depth in measurement system design. Professional affiliations include: IEEE Circuits and Systems Society IEEE Instrumentation and Measurement Society IEEE Signal Processing Society Dr. Kruger's research has led to the development of real-world systems including the Iowa Flood Center's river stage sensor network, wireless power transfer solutions for environmental sensors, and the Trans-African Hydrometeorological Observatory instrumentation. His work emphasizes robust, field-deployable technology with practical impact on water resource management and agricultural monitoring. His laboratory focuses on creating measurement systems for extreme environments, particularly underwater and agricultural field conditions, with recent work emphasizing multi-sensor data fusion approaches for comprehensive environmental characterization.

• Materials Science
• Polymer Synthesis
• Additive Manufacturing
• +۵ مورد دیگر

Massimo Messori is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino. He serves as Coordinator of the Doctoral School in Materials Science and Technology and Deputy Coordinator of the College of Chemical and Materials Engineering. His affiliations include membership in the Interdepartmental Center IAM@PoliTo and the National Interuniversity Consortium for Materials Science and Technology (INSTM). Laurea in Industrial Chemistry (1992), University of Bologna Ph.D. in Industrial Chemistry (1997), University of Bologna Research Assistant (1999-2002), University of Bologna Associate Professor (2002-2017), University of Modena and Reggio Emilia Full Professor (2017-2021), University of Modena and Reggio Emilia Full Professor (2021-present), Politecnico di Torino Messori's research focuses on polymer synthesis, modification, and characterization with emphasis on additive manufacturing and sustainable materials. His current work includes photopolymerizable resins for 3D/4D printing and valorization of agro-industrial wastes as biopolymer additives. He leads projects like FIBRA (sustainable brake pads) and MUSTANG (polymer sustainability). His article trends show expertise in photopolymerization , bio-based composites , shape-memory polymers , environmental remediation materials , and sustainable manufacturing . He actively supervises PhD students in these domains. He co-founded spinoffs MAT3D (special resins) and Agromateriae (bio-composites from waste). His teaching spans Materials Engineering, Additive Manufacturing, and Sustainable Design.