جست‌وجوی استاد و پژوهشگر

Zahra Mohagheghمشاهده پروفایل

استاد

• Probabilistic Risk Assessment (PRA)
• Socio-Technical Risk Analysis
• Human-System Reliability
• +۴ مورد دیگر

Zahra Mohaghegh is a Professor and Donald Biggar Willett Faculty Scholar in the Department of Nuclear, Plasma, and Radiological Engineering at the University of Illinois Urbana-Champaign. She directs the Socio-Technical Risk Analysis (SoTeRiA) Research Laboratory , focusing on advancing risk science for complex systems like nuclear power plants, advanced reactors, civil aviation, and oil industries. Her work integrates probabilistic risk assessment (PRA), probabilistic physics of failure, human-system reliability, AI trustworthiness, uncertainty analysis, and risk-informed policymaking, supported by grants from DOE, NSF, NRC, and IAEA. Academic Positions: Professor (2025–present), Associate Professor (2020–2025), Assistant Professor (2013–2020), Part-Time Faculty at Beckman Institute (2015–present) Her research explores socio-technical systems through hybrid models combining technical systems with organizational factors, earning awards like the NSF Mid-Career Achievement Award and American Nuclear Society's Mary Jane Oestmann Professional Women's Achievement Award. She has contributed to U.S. National Academies committees on transport airplane risk assessment and Coast Guard compliance programs. Recent publications focus on spatiotemporal risk modeling, fire PRA advancements, human-digital twin interactions, and AI integration in nuclear safety. Her work emphasizes reducing false negatives in screening analysis, validating simulation models, and connecting safety with financial performance through probabilistic physics of failure. She actively collaborates with academia, industry, and regulators, including DOE's Carbon Free Power Project and OECD-NEA's NEST SMR initiative. Scientific Awards: National Science Foundation Mid-Career Achievement Award Dean's Award for Excellence in Research (Assistant and Associate levels) George Apostolakis Award in risk assessment American Nuclear Society Mary Jane Oestmann Professional Women's Achievement Award She serves on the Board of Directors for the International Association for Probabilistic Safety Assessment and Management (IAPSAM) and acts as a technical advisor to the U.S. National Academies on risk assessment methodologies.

Niamh Nic Daeidمشاهده پروفایل

استاد

• Forensic Science
• Prison Drug Analysis
• Explosives Research
• +۴ مورد دیگر

Niamh Nic Daeid is Professor of Forensic Science and Director of the Leverhulme Research Centre for Forensic Science (LRCFS) at the University of Dundee, leading the £15m Just Tech Institute for Innovation. She holds fellowships with the Royal Society of Edinburgh, Royal Society of Chemistry, and multiple forensic science bodies while serving on committees for INTERPOL, the International Criminal Court, and the United Nations. Her research focuses on forensic chemistry applications in prison drug analysis, explosives detection, and fire investigation. Recent work emphasizes science communication, particularly using comics to improve juror comprehension of forensic testimony. She leads major projects including Clarus (bias prevention in digital forensics) and the Smart Digital Forensic Advisor initiative. Nic Daeid's publications span forensic methodology development, from quantum dots for fingerprint detection to machine learning for footwear impression analysis. Her team's 2025 research includes prison drug studies using seized Scottish evidence and advanced cartridge case imaging techniques. European Network of Forensic Science Institutes Distinguished Forensic Scientist award (2018) Royal Society of Edinburgh Senior Medal for Public Engagement Peter Ganci Award for fire investigation services Gold Engage Watermark for Public Engagement (2019) Best Short Paper Award, International Conference on eXtended Reality (2022) She supervises 13 research students and early-career academics across forensic chemistry, digital forensics, and science communication projects. Current grants include the Leverhulme Trust's £10m LRCFS (2016-2026), UK government's Tay Cities Regional Deal funding, and Dundee City Council's VR/5G initiative. Her team maintains active collaborations with Scottish prisons, international forensic networks, and law enforcement agencies.

Shabnam Sadeghi Esfahlaniمشاهده پروفایل

دانشیار

• Robotics
• Mechatronics
• Artificial Intelligence
• +۳ مورد دیگر

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

Amar Khennaneمشاهده پروفایل

مدرس ارشد

• Bio-Cementitious materials
• Composite materials
• Timber engineering
• +۵ مورد دیگر

Dr. Amar Khennane serves as a Senior Lecturer at the University of New South Wales (UNSW) Canberra campus within the School of Engineering and Information Technology. His academic career spans multiple institutions including previous appointments as Maitre de Conferences in Tizi-Ouzou, Algeria, Research Associate in Newcastle, Australia, and Lecturer/Senior Lecturer at the University of Southern Queensland (USQ). His research interests focus on sustainable construction materials, particularly bio-cementitious materials, composite materials, timber engineering, reinforced concrete, and hybrid structures. Dr. Khennane has published extensively in these fields with 47 peer-reviewed journal papers, 33 conference papers, 6 other publications, and 2 books including the widely recognized "Introduction to Finite Element Analysis Using MATLAB (R) and Abaqus" (2013). His recent work emphasizes recycling timber waste into geopolymer cement composites, sustainable wood-geopolymer masonry units, and fire response of timber structures. His scholarly output shows a clear trend toward sustainable construction materials and advanced structural analysis techniques, with significant contributions in finite element modeling, seismic performance evaluation, and fire resistance of composite structures. The majority of his recent publications (2020-2024) focus on developing sustainable building materials using recycled components and analyzing structural behavior under various loading conditions. Dr. Khennane actively contributes to engineering education through teaching courses in Structural Analysis, Finite Element Method, Reinforced Concrete, and Stress/Strain Analysis. His educational background includes authoring textbooks that bridge theoretical concepts with practical computational tools like MATLAB and Abaqus.

David Langeمشاهده پروفایل

دانشیار

• Fire Safety Engineering
• Structural Engineering
• Risk Analysis
• +۳ مورد دیگر

Associate Professor David Lange serves as Deputy Director of Higher Degree by Research at the School of Civil Engineering , University of Queensland . With academic qualifications from the University of Edinburgh (PhD and MSc), he specializes in fire safety engineering and structural engineering , focusing on timber buildings, lithium-ion battery fire safety, and risk analysis techniques. Chartered Engineer (CPEng), Fellow of Engineers Australia (FIEAust) Registered Professional Engineer of Queensland (RPEQ) APEC Engineer and International Professional Engineer (IntPE) His research explores fire behavior in mass timber structures , vertical fire spread , and infrastructure resilience . Publications highlight his expertise in probabilistic modeling, fire dynamics, and structural response to extreme conditions. Recent collaborative studies examine flame spread in ventilated façades, compartment fire behavior, and risk evaluation frameworks. He actively supervises PhD projects in areas like fire safety of low-carbon concrete, diagrid structures, and physics-informed machine learning for fire modeling.

Mingfeng Wangمشاهده پروفایل

مدرس ارشد

• Continuum Robotics
• Legged Robotics
• Soft Robotics
• +۵ مورد دیگر

Dr. Mingfeng Wang is a Senior Lecturer in Robotics and Autonomous Systems at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. His research focuses on specialized robotic systems including continuum, legged, soft, precision farming, and miniaturized robots. Chartered Engineer (CEng) with Engineering Council UK Fellow of the Higher Education Academy (FHEA) Member of IEEE, IEEE-RAS, IMechE, and IFToMM Editorial roles: Associate Editor of International Journal of Advanced Robotic Systems (JCR-Q3); Associate Editor of Frontiers in Robotics and AI (JCR-Q2); Editor of Information Processing in Agriculture (JCR-Q1), Biomimetic Intelligence and Robotics (JCR-Q1), and STEM Education Research expertise includes: Continuum Robotics : Design of extra-slender continuum robots (diameter-to-length ratio Legged Robotics : Parallel mechanism-based biped and hexapod robots for extreme environments Miniaturized Robotics : Active locomotion and drug delivery in capsule endoscopes Soft Robotics : Compliant end-effectors and bio-inspired designs Precision Farming : Laser weeding systems and agricultural automation Key scientific awards: BRIEF award (2022) TAROS Best Paper Post Nomination (2022) IFToMM Asian-MMS Best Paper Award (2014) Recent publications focus on: Cochlear implant surgery robotics Passive compliance in train fluid servicing Snake-biomimetic sealing surfaces Parallel kinematic manipulators Capsule endoscope image enhancement Professional services include conference organization (TAROS 2023/2024 Steering Committee; TAROS 2024 Programme Chair) and journal refereeing for IEEE-ASME Transactions on Mechatronics and Scientific Reports.

Sergei Khakaloمشاهده پروفایل

استادیار

• Structural Engineering
• Continuum Mechanics
• Computational Mechanics
• +۳ مورد دیگر

Sergei Khakalo is an Assistant Professor at the Department of Civil Engineering, Aalto University. His research focuses on strain gradient mechanics, computational modeling, and advanced materials. Research Interests: Structural Engineering, Continuum Mechanics, Computational Mechanics, and Nanomaterials. His work addresses multiscale modeling, thermoelasticity, and mechanical behavior of lattice and composite materials. Publication Trends (2024-2017): Research spans strain gradient elasticity, isogeometric analysis, and bio-based nanomaterials. Key themes include microscale plasticity, structural stability, and thermoelastic metamaterials. Scientific Awards: Oskari Vilamo Fund best thesis award (2018) Student prize for Best Doctoral Dissertation (2017)

• Bayesian Statistics
• Reliability Engineering
• Risk Analysis
• +۴ مورد دیگر

Ahmad BahooToroody is an Academy Research Fellow at Aalto University’s Department of Energy and Mechanical Engineering, specializing in Bayesian statistics, reliability engineering, and risk analysis for autonomous maritime systems. He is actively involved with the Marine and Arctic Technology research group and leads projects that integrate machine learning with safety-critical applications in the maritime and offshore sectors. Research Interests Bayesian statistical methods for reliability and risk modeling Machine learning and deep learning for anomaly detection in autonomous systems Safety assessment of offshore installations and maritime operations Prognostic health management of marine renewable energy systems Human factors and expert judgment in sociotechnical maritime systems His work often incorporates advanced techniques such as Gaussian processes, LSTM-based neural networks, and dynamic Bayesian networks to address uncertainties in complex engineering systems operating in harsh marine environments. Publication Trends Across 2022–2025, BahooToroody’s publications reveal a strong trajectory toward integrating data-driven models with physics-based simulations. Dominant themes include real-time risk monitoring of autonomous ships, failure prognosis for unattended machinery, and safety assessment frameworks for offshore structures. His collaborative outputs span high-impact journals such as Reliability Engineering & System Safety and Safety Science , underscoring his leadership in maritime safety analytics. Research Groups & Labs Marine and Arctic Technology Research Group, Aalto University Academy Research Fellow network within the Department of Energy and Mechanical Engineering Doctoral Supervision & Grants While specific grant details are not listed, his role as Doctoral Candidate Supervisor since 2020 indicates active mentorship of PhD researchers. He is also the Principal Investigator on projects funded under the Academy of Finland Fellowship scheme, supporting next-generation maritime risk analytics.

Gaang Leeمشاهده پروفایل

استادیار

• Construction Engineering
• Built Environment
• Human Factors
• +۵ مورد دیگر

Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.

Federica Ferraroمشاهده پروفایل

استادیار

• Combustion Engineering
• Aero Engine Propulsion
• Sustainable Aviation Fuels
• +۳ مورد دیگر

Jun.-Prof. Dr.-Ing. Federica Ferraro is an Assistant Professor in the Faculty of Mechanical Engineering at TU Braunschweig, leading the Reactive Flows in Aero Engines research group. Her work focuses on combustion dynamics, sustainable aviation propulsion, and numerical simulations of reactive flows. She investigates flame-wall interactions, soot formation mechanisms, and alternative fuels like hydrogen and oxymethylene ethers. Key projects include the Cluster of Excellence SE2A (C3.5) and CRC 150 (C07), addressing synthetic fuels and flame retardancy under aviation conditions. Ferraro teaches courses in numerical simulation and high-performance computing for CFD applications. Her research integrates advanced modeling techniques such as Large Eddy Simulation (LES), flamelet manifolds, and quadrature-based methods for particle dynamics. Her contributions span experimental validation, turbulent combustion analysis, and green fuel substitution strategies for decarbonizing aviation. Research Interests : Combustion physics, aero-engine propulsion, sustainable fuels, soot dynamics, CFD modeling, and thermo-chemical systems. Her studies often bridge fundamental combustion science with industrial applications in turbine design and emission control. Projects & Collaboration : Leads the Numerical investigations of synthetic fuel flames (SE2A) and Boundary layer flames with flame retardants (CRC 150). Collaborates with institutions like the Lower Saxony Graduate School on hydrogen/ammonia energy systems. Her team develops novel numerical frameworks for predictive combustion modeling. Labs & Teams : Manages the Reactive Flows group at TU Braunschweig's Institute of Jet Propulsion and Turbomachinery, fostering interdisciplinary research in propulsion and energy technologies.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +۵ مورد دیگر

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Arya Farahiمشاهده پروفایل

استادیار

• Statistical/Machine Learning
• Algorithmic Fairness
• Astroinformatics
• +۳ مورد دیگر

Arya Farahi is an Assistant Professor of Statistics and Data Sciences at the University of Texas at Austin since 2021. His research bridges astroinformatics, urban informatics, and AI ethics, focusing on mitigating algorithmic bias and uncertainty quantification in real-world applications. He holds PhDs in Physics and Scientific Computing from the University of Michigan, where he was a Data Science Fellow at the Michigan Institute for Data Science. Farahi's work includes collaborations with international projects such as the Dark Energy Survey (DES), COsmostatistics Initiative (COIN), and XMM-XXL Consortium. He leads the D3 Lab, which develops AI tools for scientific discovery and societal challenges, emphasizing interdisciplinary collaboration. His open-source contributions include TATTER, KLLR, and PoPE for statistical analysis and visualization. Key awards include the Best Student Paper Award at KDD’18 and a $400k+ grant. He is a volunteer with Statistics Without Borders and actively involved in projects like the Fire and Smoke Digital Twin for urban resilience. His research spans cosmology, healthcare AI, and urban economics, with a focus on trustworthy models and equitable AI systems.

Pingbo Tangمشاهده پروفایل

دانشیار

• Civil Engineering
• Remote Sensing
• Human Systems Engineering
• +۵ مورد دیگر

Pingbo Tang is an Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University, affiliated with the College of Engineering. He leads the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab). Tang holds a Ph.D. from Carnegie Mellon University (2009), a Master’s in Bridge Engineering from Tongji University (2005), and a Bachelor’s in Civil Engineering from Tongji University (2002). His research focuses on civil infrastructure operations, human systems engineering, and AI-driven solutions for predictive management. Key areas include remote sensing, data analytics, and Human-Cyber-Physical-Systems (H-CPS) in construction and infrastructure (e.g., airports, nuclear plants). He has published over 100 peer-reviewed articles and secured funding from NSF, DOE, NASA, and industry partners. Tang is a leader in professional organizations, including ASCE (Computing Division Chair), TRB (Bridge Management Committee), and ASTM International. He has received prestigious awards, including the NSF CAREER Award (2015), ASCE Halpin Award (2020), and multiple best-paper honors. His work integrates AI, digital twins, and safety innovation, with applications in aviation scheduling (e.g., Alaska Airlines collaborations) and nuclear power plant operations. Tang’s research emphasizes sustainable infrastructure, safety, and interdisciplinary solutions for complex systems.

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.

Irena Vodenskaمشاهده پروفایل

استاد

• Network Theory in Finance
• Systemic Risk Modeling
• Complexity Science in Macroeconomics
• +۱۲ مورد دیگر

Irena Vodenska is Professor of Finance and Director of Finance Programs at Boston University’s Metropolitan College, Department of Administrative Sciences. She holds a PhD in statistical finance and an MA in economics from Boston University, an MBA from Vanderbilt University, and a BS in computer information systems from the University of Belgrade. She is also a Chartered Financial Analyst (CFA) charter holder. Her research is at the intersection of finance, complexity science, and artificial intelligence, focusing on systemic risk modeling, ESG investments, and financial network dynamics. She has led major interdisciplinary research projects funded by the National Science Foundation, the European Commission, and the U.S. Army Research Office. PhD, Statistical Finance – Boston University MA, Economics – Boston University MBA – Owen Graduate School of Management, Vanderbilt University BS, Computer Information Systems – University of Belgrade Dr. Vodenska’s research interests include network theory in finance, systemic risk propagation, AI-powered ESG analysis, cryptocurrency price forecasting, and financial regulation. She employs big data, machine learning, and natural language processing to analyze financial news, market dynamics, and corporate sustainability. Her work investigates how climate disinformation spreads via social networks and influences public policy and governance. The recent articles highlight a consistent focus on modeling financial and economic systems using network science and AI. Trends include systemic stress testing, sentiment analysis in financial markets, cascading failures, and the interplay between macroeconomic indicators and financial networks. Her work spans econophysics, behavioral finance, public health economics, and ethical AI in fintech. National Science Foundation (NSF) research grant (2023) NSF EAGER Award (2014–2015) European Commission FET Open Grant (2012–2014) U.S. Army Research Office (ARO) Grant (2020–2021) MEXT Post-K Computer Grant, Japan (2016–2019) Alexander Hamilton Fulbright Fellowship (1994) Owen Graduate School Fellowship (1995–1996) Dr. Vodenska teaches core finance courses such as Investment Analysis and Portfolio Management, Derivatives Securities, and Financial Regulation and Ethics. She co-developed the MET AD 678 course with Professor Tamar Frankel from BU Law, emphasizing real-world case studies and ethical decision-making. Her research grants have supported innovative work in systemic risk modeling, AI for ESG, and financial network stability. She is actively involved in mentoring, conference organization, and editorial roles in leading journals. She is a key organizer of the International School and Conference on Network Science (NetSci) and the Big Data in Economics, Science, and Technology (BEST) Conference. Her lab and research team focus on complexity in financial systems, bringing together economists, physicists, computer scientists, and data analysts to study global financial stability and sustainability.