جست‌وجوی استاد و پژوهشگر

• Optimization methods
• Metaheuristics
• Heuristics
• +۱۲ مورد دیگر

Mina Mirhosseini is a Research Fellow at the Faculty of Logistics, Molde University College, Norway. She holds a PhD in Computer Science from Shahid Beheshti University of Tehran, Iran, and has prior academic experience as a faculty member and lecturer in Iran and as a remote teaching assistant at the University of Hertfordshire, UK. Her primary research interests include Optimization Methods, Metaheuristics, Heuristics, Linear Integer Programming, Parallel Processing, Machine Learning, Artificial Intelligence, and Logistics. She has made significant contributions to solving complex computational problems such as the n-similarity problem and Mixed Integer Linear Programming (MILP) models using hybrid and parallel algorithms, particularly in the context of high-level synthesis and wireless sensor networks. The analysis of her recent publications reveals a strong focus on developing and applying advanced optimization techniques, especially quantum-inspired gravitational search algorithms and parallel genetic algorithms, to real-world engineering and computational challenges. Her work consistently emphasizes performance improvement, scalability, and load balancing in distributed and heterogeneous computing environments. Mina Mirhosseini has an extensive publication record in high-impact journals such as IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, Journal of Supercomputing, and Computers and Electrical Engineering. Her research has been published across a range of venues, reflecting interdisciplinary work at the intersection of computer science, electrical engineering, and applied optimization. She has actively contributed to the academic community through roles such as program committee member and executive committee member for conferences on fuzzy systems, swarm intelligence, and evolutionary computation. Her academic journey includes teaching and research roles in Iran, demonstrating a sustained commitment to higher education and scientific inquiry. Mina Mirhosseini is part of the research group focused on Planning, Optimization and Decision Support at Molde University College. Her current work continues to advance the state-of-the-art in parallel and metaheuristic optimization methods, with applications in logistics, synthesis, and sensor network design.

• Active Matter
• Soft Matter Physics
• Ferrofluids
• +۱۲ مورد دیگر

Jaakko Timonen is an Associate Professor and Vice Head of the Department of Applied Physics at Aalto University, where he leads the Active Matter research group. He is also Deputy Director of the Center of Excellence in Life-Inspired Hybrid Materials (LIBER), and holds significant research funding from the Academy of Finland and the European Research Council (ERC StG). His academic journey includes a doctoral degree from Aalto (2013) and postdoctoral research at Northwestern and Harvard Universities. His research interests lie at the intersection of physics, chemistry, and biology, focusing on soft and active matter systems. Key areas include ferrofluids, electrohydrodynamics, liquid-liquid phase separation, colloidal nanoparticles, magnetic control of non-magnetic matter, and advanced optical microscopy. His recent publications span high-impact journals and reveal a strong trend toward bioinspired materials, responsive systems, and biomedical applications such as 3D bioprinting and cancer diagnostics. His work often involves interdisciplinary collaboration and the development of novel experimental techniques. ERC Starting Grant (2019–2024) Academy of Finland Research Fellow (2019–2023) Distinction prize for doctoral thesis (Aalto, 2013) Distinction prize for master’s thesis (Helsinki UT, 2009) Timonen actively supervises PhD and early-career researchers, with several students contributing to recent publications and projects. He leads multiple active grants, including projects on multiscale electrostatic phenomena in nanoparticles and food applications of Pickering emulsions. He also organizes academic events and participates in public outreach, such as the 'Life inspired materials' seminar. His research group maintains strong ties to both fundamental physics and real-world applications in health, sustainability, and advanced materials. He is involved in several research labs and collaborative networks, particularly through the LIBER Center of Excellence, focusing on hybrid materials with life-inspired functions. His team develops custom imaging systems and explores emergent behaviors in active and biological matter, contributing to fields such as non-equilibrium physics, microfluidics, and synthetic biology.

Alistair Pooreمشاهده پروفایل

استاد

• Marine Ecology
• Evolutionary Biology
• Coastal Marine Ecosystems
• +۳ مورد دیگر

Professor Alistair Poore serves as Head of the School of Biological, Earth and Environmental Sciences at the University of New South Wales. With a PhD from UNSW (1999) and BSc(Hons) from Monash University (1992), he has established himself as a leading marine ecologist focusing on coastal ecosystems. His research program spans multiple interconnected themes: Ecology and evolution of interactions among marine organisms Impacts of herbivores on plant communities Human impacts on coastal marine ecosystems Adaptation of marine organisms to environmental stress Use of citizen science data for biodiversity monitoring Professor Poore's recent publications demonstrate a strong focus on threatened seagrass ecosystems, particularly Posidonia australis, examining responses to climate change, tropicalization, and physical disturbance. His work increasingly integrates citizen science approaches, using recreational diver photographs and other unconventional data sources for ecological monitoring. The research shows a progression from fundamental ecological theory toward applied conservation solutions, with extensive international collaborations across Australian, Pacific, and global marine environments. Scientific recognition includes: Elected Fellow of the Royal Society of New South Wales (2020) Provasoli Award from the Phycological Society of America (2014) Citation for Outstanding Contributions to Student Learning (2013) UNSW Vice Chancellor's Award for Teaching Excellence (2012) Professor Poore actively supervises PhD students working on diverse marine topics including amphibian detection using DNA, bluebottle behavior, artificial light impacts, seagrass restoration, and reef monitoring. His teaching portfolio includes BEES2041 Data Analysis for Life and Earth Scientists, BIOS2031 Biology of Invertebrates, and BIOS3091 Marine and Aquatic Ecology, complemented by freely available Environmental Computing tutorials. His research bridges fundamental ecological questions with practical conservation applications, particularly in Australian coastal environments, with growing emphasis on how climate change reshapes marine biodiversity and ecosystem function through processes like tropicalization and habitat fragmentation.

Ryan Wagnerمشاهده پروفایل

استادیار

• Nanomechanics
• Optomechanics
• Scanning Probe Microscopy
• +۵ مورد دیگر

Ryan Wagner is a Research Assistant Professor in the School of Mechanical Engineering at Purdue University. He holds a B.S. (2008) and Ph.D. (2014) in Mechanical Engineering from Purdue University, with a minor in Physics. His research focuses on nanotechnology, microscopy, metrology, and dynamics, with applications in optomechanics and micro/nanotechnology. He has held postdoctoral positions at the National Institute of Standards and Technology (NIST) and Asylum Research, specializing in atomic force microscopy (AFM) instrumentation and optomechanical force standards. Education: B.S. in Mechanical Engineering, Purdue University (2008) Ph.D. in Mechanical Engineering, Purdue University (2014), Thesis: Advanced AFM Techniques for Cellulosic Nanomaterials Research Interests: Nanomechanics and optomechanics AFM-based material characterization Development of force/mass standards using optical cavities Biomedical applications of nanotechnology Articles Trends: Recent work emphasizes optomechanical systems, precision measurements in AFM, and interdisciplinary applications in biomedicine and materials science. Publications span Nature , Proceedings of the National Academy of Sciences , and Optics Express . Awards: National Research Council Postdoctoral Fellowship (2014) Office of Naval Research Summer Faculty Fellowship (2021) Charles C. Chappelle Fellowship (2009) Advising/Grants: Active in mentoring graduate students and securing grants for interdisciplinary projects. His lab focuses on applying vibration dynamics to multiphysics problems in collaboration with industry and national labs. Labs/Teams: Leads research in optomechanical force standards and AFM instrumentation development at Purdue’s School of Mechanical Engineering.

Carmel Majidiمشاهده پروفایل

استاد

• Soft Robotics
• Wearable Robotics
• Soft Electronics
• +۱۲ مورد دیگر

Carmel Majidi is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the Soft Machines Lab, where his research focuses on soft robotics, wearable computing, and advanced materials that mimic biological systems. His work enables robots and machines to safely interact with humans through soft, deformable technologies. Education: Ph.D. in EECS, University of California, Berkeley (2007) B.S. in Civil and Environmental Engineering, Cornell University (2001) His research interests span soft robotics, stretchable electronics, liquid metal materials, and bio-inspired engineering. He develops soft electromechanical materials for applications in haptics, medical devices, and human-machine interfaces. His group pioneers fabrication methods for soft composites and microfluidic systems that function as artificial skin, nervous tissue, and muscle. The recent trend in his publications highlights a strong focus on soft actuators, self-healing materials, liquid metal composites, and haptic interfaces for virtual and augmented reality. His work integrates materials science, robotics, and advanced manufacturing to enable scalable, robust, and practical soft systems. Scientific Awards: 2023 Inno Fire Award for Trailblazing Innovators, Pittsburgh Business Times Majidi leads a major research thrust in a new NSF Engineering Research Center (ERC) dedicated to improving robot dexterity, funded up to $52 million. He has been instrumental in developing soft robotic systems inspired by prehistoric organisms, such as the pleurocystitid, and in creating healthcare devices powered by body heat using liquid metal technologies. His research has been featured in Popular Science , Communications of the ACM , and Ars Technica . He is actively involved in advancing scalable manufacturing of soft electronics and enabling robust integration between soft materials and conventional microelectronics. His lab collaborates across disciplines to push the boundaries of physical AI and wearable robotics.

• Chemical Engineering
• Multiphase Systems
• Process Intensification
• +۴ مورد دیگر

Peter Martin is a Senior Lecturer in Chemical Engineering at the School of Chemical Engineering and Analytical Science, The University of Manchester. He leads the Multiphase Processing Group, which has secured over £4.1M in public and industrial funding. Current affiliation: The University of Manchester (2012–present) Prior roles: Lecturer (2007–2012), fixed-term Lecturer at University of Oxford (2004–2007) Education: PhD in Chemical Engineering, University of Cambridge (2002) MEng in Engineering Science, University of Oxford (1998) His research spans three themes: biosurfactant production/characterization, structured liquids/soft solids, and multiphase processes for MEG reclamation in oil/gas industries. He utilizes advanced techniques like Electrical Resistance Tomography and collaborates with Unilever and Cameron on industrial projects. Recent publications focus on membrane distillation for desalination, high-viscosity mixing analysis, and laser spectroscopy applications. He received the EPSRC Challenging Engineering award in 2011.

• Robotics
• Underwater Robotics
• Computer Vision
• +۷ مورد دیگر

Claire Dune is an Assistant Professor at the University of Toulon, affiliated with the COSMER Laboratory (Mechanical and Robotic Systems Design Laboratory). Her research focuses on robotics, computer vision, and underwater systems, with applications in environmental monitoring and human-robot interaction. She teaches computer science, numerical methods, image processing, and visual servoing. Institution: University of Toulon Laboratory: COSMER (Mechanical and Robotic Systems Design Laboratory) Academic Rank: Assistant Professor Email: claire.dune@univ-tln.fr Her research centers on perception for robot control, particularly in underwater robotics and computer vision. Key interests include visual servoing, SLAM, gesture recognition for diver-robot interaction, and autonomous capabilities in real-world marine environments. She applies deep learning and sensor fusion techniques to enhance underwater visual perception and navigation. The recent publications demonstrate a strong trend in underwater robotics, with focus areas including tether dynamics (catenary modeling), ROV localization using umbilicals and IMUs, long-term visual localization in deep-sea environments, and color restoration in underwater imagery. Her work bridges theory and real-world application, contributing datasets like 'Eiffel Tower' for benchmarking and advancing multi-agent SLAM systems. Claire Dune has contributed to leading journals such as IEEE Robotics and Automation Letters, Ocean Engineering, and The International Journal of Robotics Research. Her editorial and survey work highlights her leadership in the domain of deformable object manipulation. Retrieval of benthic habitat abundance and bathymetry from hyperspectral data (DESIS) in shallow waters ROV localization using ballasted umbilical equipped with IMUs MAM3SLAM: Towards underwater robust multi-agent visual SLAM Eiffel Tower: A Deep-Sea Underwater Dataset for Long-Term Visual Localization Challenges and Outlook in Robotic Manipulation of Deformable Objects Claire Dune actively collaborates with researchers such as Vincent Hugel, Juliette Drupt, and Andrew Comport. She has supervised or co-supervised numerous research projects and publications, particularly in underwater robotics and assistive technologies. Her work involves experimental robotics and system integration, often validated in real marine environments. She leads research in the COSMER laboratory focused on underwater robotics, including projects on tethered ROVs, diver-robot communication via gesture recognition, and environmental monitoring using visual and hyperspectral data. Her team develops practical solutions for marine science and offshore operations, emphasizing robustness and autonomy.

• Jurisprudence
• Legal Philosophy
• Human Rights
• +۶ مورد دیگر

Henrik Palmer Olsen is a Professor of Jurisprudence at the Faculty of Law, University of Copenhagen (UCPH), where he has been a central figure since earning his Cand.jur. in 1993. He is a co-founder and member of the Centre of Excellence for International Courts and Governance (iCourts), a leading research center in global legal studies. His academic leadership includes serving as Associate Dean for Research and Head of the PhD School at UCPH. Education: Dr.jur. (2005), Faculty of Law, University of Copenhagen PhD (1997), Faculty of Law, University of Copenhagen MA in Socio-Legal Studies (1994), University of Sheffield Cand.jur. (1993), Faculty of Law, University of Copenhagen Henrik Palmer Olsen's research lies at the intersection of legal philosophy, human rights, and international courts, with a growing emphasis on data science applied to legal analysis. His work explores the theoretical foundations of law, judicial legitimacy, and the methodological evolution of legal scholarship. He has pioneered the integration of quantitative methods—such as citation network analysis and corpus linguistics—into doctrinal legal studies, bridging traditional and computational approaches. His recent publications reflect a consistent trajectory in analyzing international courts, legal diplomacy, and legal methodology. Works like 'Can quantitative methods complement doctrinal legal studies?' and 'Providing Legal Pincite Recommendations using Language Representations' illustrate his innovative approach, combining jurisprudence with AI and data-driven legal research. This positions him at the forefront of the digital transformation in legal science. Scientific Engagement: Speaker, Regulating “AI” in the EU: The “Artificial Intelligence Act” (2021) Speaker, EURECO Distinguished Lecture Series (2010) Lecturer, Bristol Law School Annual Jurisprudence Lecture (2010) Olsen has held major research management roles, including co-founding the Center for Studies in Legal Culture and leading the PhD school at UCPH. He has secured recognition through extensive research output and collaborations across Europe. His work is referenced in academic databases, Mendeley, and multiple Wikipedia pages, indicating broad scholarly impact. He is actively involved in shaping legal education, particularly through his textbook on legal methodology. He is associated with research environments such as the Nordic Asylum Law & Data Lab and maintains strong international networks, especially in EU legal studies and global mobility law. His multilingual abilities (Danish, English, French) support his transnational academic engagement.

• Natural Language Processing
• Information Extraction
• Deep Learning
• +۱۰ مورد دیگر

Thien Nguyen is an Associate Professor in the Department of Computer Science at the University of Oregon, within the College of Arts and Sciences. His research focuses on natural language processing, information extraction, and deep learning, with an emphasis on multilingual and large-scale language models. Ph.D., Computer Science, New York University M.S., Computer Science, New York University B.S., Computer Science, Hanoi University of Science and Technology His research explores how computers can understand human language to perform cognitive tasks, particularly by distilling structured information from massive multilingual text. He is a pioneer in applying deep learning to information extraction and has developed influential models and datasets such as CulturaX , Vistral , and Okapi . His lab designs learning algorithms for NLP tasks including event detection, machine translation, and chatbots. The recent work centers on large language models, cross-lingual transfer, and continual learning. His 15 most recent publications reflect a strong trend in multilingual NLP , large language models , event and relation extraction , and active and continual learning . These works span dataset creation, model development, and evaluation frameworks, often leveraging transformer architectures and reinforcement learning. The research is highly interdisciplinary, combining data mining, machine learning, and linguistic analysis. NSF CAREER Award (2023) Best Demo Paper Award, EACL 2021 Outstanding Demo Paper Award, EACL 2021 IBM Ph.D. Fellowship (2016) Dean's Dissertation Fellowship, NYU Harold Grad Prize, NYU Dr. Nguyen advises multiple Ph.D. and M.S. students and has secured significant research funding from the NSF, IARPA, and Adobe Research. His lab, UO-NLP, is actively developing tools like Trankit and FourIE . He teaches courses in data structures, machine learning, and NLP, and serves on the program and senior committees of top-tier conferences such as ACL, EMNLP, and NeurIPS. He is deeply involved in advancing multilingual NLP and democratizing access to language technologies across diverse languages.

• Computer Vision
• Pattern Recognition
• Facial Analysis
• +۵ مورد دیگر

Jorge Manuel M. C. Pereira Batista is an Associate Professor at the Department of Electrical and Computer Engineering , University of Coimbra, Portugal. He serves as a senior researcher at the Institute for Systems and Robotics (ISR-UC) and leads the Computer Vision Group. His career spans academic roles, research coordination, and industry collaboration. Academic Affiliation: University of Coimbra (Electrical & Computer Engineering Department) Research Institute: Institute for Systems and Robotics (ISR-UC) His research focuses on Computer Vision , Pattern Recognition , and applications of Differential Geometry in these fields. Key subdomains include facial analysis, visual surveillance, real-time vision systems, and machine learning integration. From 2010–2023, his recent publications highlight advancements in probabilistic models , transformer architectures , multi-branch learning , and biomimetic robotics . He has coordinated multiple funded projects such as: STORK : Avian protection systems NeuroCity : Intelligent street lighting 4D Facial Dynamics : Identity recognition iTRAFFIC : BRISA highway traffic monitoring His work bridges theoretical innovation (e.g., Riemannian manifold applications) with practical deployments in transportation, energy, and healthcare sectors.

Shreyas S. Raoمشاهده پروفایل

دانشیار

• Biodegradable Polymers
• Bioengineering
• Biomaterials
• +۱۵ مورد دیگر

Dr. Shreyas S. Rao is an Associate Professor in the Department of Chemical and Biological Engineering at The University of Alabama, College of Engineering. He leads the Rao Laboratory, which is affiliated with the Polymers and Soft Materials Research Center. His research focuses on engineering 3D biomaterial scaffolds to model cancer microenvironments, particularly in metastatic breast cancer and brain metastases. Dr. Rao earned his Ph.D. and M.S. in Chemical Engineering from Ohio State University and a B.E. from R.V. College of Engineering, India. He joined The University of Alabama in 2015 after a postdoctoral position at the University of Michigan. His research interests lie at the intersection of biomaterials, cancer biology, and systems engineering. He develops hydrogel and porous scaffolds to mimic in vivo tissue conditions, enabling the study of tumor dormancy, drug resistance, and metastatic progression in physiologically relevant models. His lab integrates biomaterial design with systems biology to uncover mechanisms of therapeutic resistance and devise strategies to reprogram the tumor microenvironment. The recent publications from his lab highlight a strong focus on metastatic cancer, particularly brain metastasis in breast cancer, tumor dormancy, immune interactions, phage-based therapeutics, and biomimetic modeling. The work spans from fundamental biomaterial design to translational applications in drug screening and personalized medicine. CAREER Award, National Science Foundation, 2018 Grant recipient, Breast Cancer Research Foundation of Alabama, January 2024 Named 'Emerging Leader in Biological Engineering,' Journal of Biological Engineering, 2019 Reichhold-Shumaker Assistant Professorship, The University of Alabama, 2017 Ohio State College of Engineering’s Texnikoi Outstanding Alumni Award, 2024 National Academy of Inventors (NAI) Inductee, 2024 American Cancer Society Research Scholar Award METAvivor Early Career Investigator Award Dr. Rao has successfully advised numerous graduate and undergraduate students, many of whom have received national fellowships and awards. His research is supported by grants from the NSF, American Cancer Society, BCRFA, and METAvivor. He collaborates with researchers at institutions such as the University of Alabama at Birmingham, Ohio State University, and UNC/NCSU. The Rao Lab also engages in outreach, mentoring high school and undergraduate students through programs like Randall Research Scholars and REU. The Rao Laboratory operates within the Science and Engineering Complex and is part of a broader network of research centers including the Polymers and Soft Materials Research Center and the Integrative Center for Athletic and Sport Technology. The lab fosters interdisciplinary collaboration and innovation in bioengineering and cancer therapeutics.

Jeanne Crassousمشاهده پروفایل

استاد پژوهشی

• Chiroptics
• Fundamental Chirality
• Molecular Engineering of Helicenes
• +۷ مورد دیگر

Jeanne Crassous is a CNRS Research Director at the Institut des Sciences Chimiques de Rennes , University of Rennes, France. She holds a prominent position in the field of chiral molecular materials, with a focus on helicenes and their applications in optoelectronics and fundamental chirality studies. Position: CNRS Director of Research (DR1) Institution: University of Rennes, Institut des Sciences Chimiques de Rennes (ISCR) Email: jeanne.crassous@univ-rennes.fr Office: 236, Building 10A, Campus de Beaulieu, Rennes Education PhD in Organic Chemistry, École Normale Supérieure de Lyon (1996) Research Habilitation, École Normale Supérieure de Lyon (2005) Post-doctoral Research, ETH Zurich (1997) Student, École Normale Supérieure de Lyon (1989) Research Interests Dr. Crassous specializes in the molecular engineering of helicenes , including organic and organometallic variants with chromophores or aggregating units. Her work explores chiroptics and fundamental chirality , with a focus on chiral organometallic complexes and vibrational circular dichroism (VCD) . She investigates how molecular chirality influences optical, electronic, and spin properties, enabling applications in advanced materials and quantum technologies. Publication Trends Her recent publications (2016–2023) reflect a strong focus on chiral luminescent materials , circularly polarized luminescence (CPL) , and chiral-induced spin selectivity (CISS) . She integrates synthesis, spectroscopy, and computational modeling (TDDFT) to design and characterize novel helicene-based systems for optoelectronics, spintronics, and parity violation experiments. Scientific Awards CNRS Silver Medal (2023) Distinguished Member of the French Chemical Society, senior category (2023) CNRS Talent (2023) Chemistry Europe Fellow (2020/2021) National Prize of the Organic Chemistry Division (SCF, 2020) Elected Member of the European Academy of Sciences (2021) Victor Grignard–Georg Witting Lecture Award (GDCh/SCF, 2024) Advising, Grants, and Collaborations Dr. Crassous leads and collaborates on numerous national and international research projects, including ANR-funded programs such as SMM-CPL, ChirON, and iCHIRALight. She mentors early-career researchers and collaborates with leading experts in France (ENS Lyon, Strasbourg, Angers) and abroad (USA, UK, Spain, Israel, Poland, Netherlands, Greece). Her work bridges organic, inorganic, and physical chemistry, fostering interdisciplinary innovation. Laboratories and Research Teams She is based at the Institut des Sciences Chimiques de Rennes (ISCR) , a leading French research institute in chemistry. Her team works within the Organométalliques et Catalyse (OMC) and Physique de la Matière Molle (PMM) groups, focusing on the synthesis and characterization of chiral molecular systems. The ISCR provides state-of-the-art facilities for spectroscopy, crystallography, and materials testing, supporting her cutting-edge research in chiral functional materials.

E. James Peterssonمشاهده پروفایل

استاد

• Chemical Biology
• Protein Folding
• Protein-Protein Interactions
• +۱۳ مورد دیگر

E. James Petersson is a Professor in the Department of Chemistry at the University of Pennsylvania, with affiliations in the Perelman School of Medicine and the Biochemistry and Molecular Biophysics Graduate Group. His research integrates organic synthesis, molecular biology, computational modeling, and biophysics to investigate protein folding, protein-protein interactions, and their roles in diseases such as Parkinson’s and antibiotic resistance. His research interests center on developing chemical tools to study protein dynamics, particularly through the use of unnatural amino acids, thioamide modifications, and fluorescent probes. His lab focuses on understanding the misfolding of proteins like α-synuclein, the mechanisms of bacterial SOS response in antibiotic resistance, and post-translational modifications such as arginylation and acetylation. These tools enable high-resolution studies of protein conformational changes, aggregation, and signaling pathways. The recent publications reveal a strong trend toward interdisciplinary approaches, combining synthetic chemistry, biophysics, computational modeling, and neuroscience. His work spans from fundamental protein engineering and probe development to applications in disease modeling and diagnostic imaging, including PET tracers for synucleinopathies. The use of machine learning for predicting amyloidogenesis and advanced FRET techniques for conformational analysis highlights the cutting-edge nature of his research. He is supported by major funding agencies including the NIH, NSF, and DOE, reflecting the significance and impact of his work. His collaborations span across departments and institutions, particularly in neuroscience and radiology. Professor Petersson’s lab actively trains students and researchers in chemical biology and biophysics. He contributes to outreach and education through his group’s active presence and participation in scientific communities.

• Computational Structural Mechanics
• Finite Element Analysis
• Composite Materials
• +۷ مورد دیگر

Riccardo Augello is a Research Fellow in the Department of Mechanical and Aerospace Engineering at Politecnico di Torino, Italy. He is actively involved in both research and teaching, serving as a course collaborator in aerospace engineering programs focusing on structural mechanics and spacecraft design. His academic work is centered on advanced computational modeling of complex structures using the Carrera Unified Formulation (CUF). His research interests include computational structural mechanics, finite element analysis, composite materials, aerospace structures, multilayered systems, and nonlinear structural behavior. He specializes in high-fidelity modeling of deployable space structures, sandwich panels, and reinforced concrete systems, with a strong emphasis on accuracy and computational efficiency. His recent publications (2023–2025) reveal a consistent focus on applying CUF to diverse structural problems, including damage analysis in concrete, folding of tape springs, global/local modeling of composites, and dynamic behavior of metamaterials. The work demonstrates a strong trend toward high-order, refined modeling techniques for both terrestrial and space applications, often validated against experiments. Scientific Responsible, NOVITAS project (2023–2026), EU-funded MSCA grant on nonlinear analysis of deployable composite booms. He is a core member of the MUL2 (Multilayered structures and Multifield analyses) research group, collaborating closely with Prof. Erasmo Carrera and other researchers. His teaching contributions include modules in Spacecraft Structures, Aeronautical Structures, and Additive Manufacturing for Aerospace Applications. No formal advisees or scientific awards are mentioned in the available texts.

• Accountable AI Systems
• Internet of Things (IoT)
• Data Provenance
• +۱۲ مورد دیگر

Dr. Milan Markovic is an Interdisciplinary Fellow at the School of Natural and Computing Sciences, University of Aberdeen, where he conducts research at the intersection of computing, sustainability, and societal impact. He is actively involved in teaching, supervising PhD students, and leading interdisciplinary research projects focused on transparency, accountability, and trust in intelligent systems. His research spans several key domains, including accountable AI, data provenance, IoT governance, and sustainable agri-food systems. He investigates how technologies like AI, blockchains, and semantic web can support transparent and ethical digital infrastructures. His work emphasizes real-world applications in healthcare data governance, smart cities, and environmental sustainability. The recent publications highlight a strong trend toward developing tools and frameworks for transparency and accountability, such as the Transparent Emissions Calculation (TEC) Toolkit, Farm Explorer, and semi-automated provenance tracking in Trusted Research Environments. These works integrate knowledge graphs, federated learning, and blockchain to ensure verifiable, auditable, and sustainable digital systems. Dr. Markovic has contributed to numerous collaborative research initiatives, including EATS (Enhancing Agri-Food Transparent Sustainability) and SARA (Semi-Automated Risk Assessment), which aim to improve data governance and sustainability in complex socio-technical systems. He supervises PhD students in computing science and collaborates with interdisciplinary teams across academia and industry. His leadership in projects like RAInS, TrustLens, and PROoFD-IT demonstrates a long-standing commitment to building trustworthy IoT and AI ecosystems. These projects explore user empowerment, data transparency, and compliance in digital systems, particularly in food safety, healthcare, and urban environments. He is affiliated with the Department of Computing Science and contributes to both theoretical and applied research, with a strong emphasis on open, reproducible, and socially responsible computing.