جست‌وجوی استاد و پژوهشگر

Niki Kitturمشاهده پروفایل

استاد

• AI-Augmented Cognition
• Human-Machine Collaboration
• Sensemaking Systems
• +۴ مورد دیگر

Aniket 'Niki' Kittur is a Professor in the Human-Computer Interaction Institute at Carnegie Mellon University's School of Computer Science. His research focuses on AI-augmented cognition, exploring how human and machine intelligence can collaborate to enhance creativity, decision-making, and innovation. He leads projects like the Semantic Reader and Skeema browser extension, aiming to reduce cognitive overload through intelligent systems. Education: BA in Psychology & Computer Science from Princeton University; PhD in Cognitive Psychology from UCLA. His work bridges HCI, crowdsourcing, and cognitive science, with 100+ publications and 17 best paper awards. He advises industry partners including Google, Microsoft, and Toyota while maintaining a lab focused on real-world impact. Research interests center on accelerating knowledge acquisition via systems that scaffold sensemaking (e.g., Selenite for web exploration) and fostering analogical innovation through crowdsourced/AI hybrid approaches. Notable contributions include CrowdForge (human-machine workflows) and Kinetica (touch-based data visualization). Awards include NSF CAREER Award, Allen Newell Award, and CHI Academy membership. His lab's Skeema tool has achieved 79% 30-day retention in beta, reflecting impactful user-centered design principles. Current projects emphasize LLM integration for composite cognition, aiming to create systems where 'LLMs + Humans > Either Alone.' Funding来自NSF, NIH, ONR, and industry partners like Bosch and Wikimedia. Teaching includes PhD bootcamps and user-centered research courses. Over 100 students have contributed to his projects, many advancing to tech leadership roles.

Declan Nolanمشاهده پروفایل

مدرس ارشد

• Design to Simulation Automation
• Structural Impact Analysis
• Composite Simulation
• +۸ مورد دیگر

Declan Nolan is a Senior Lecturer in the School of Mechanical and Aerospace Engineering at Queen's University Belfast. He holds a PhD (2013) on 'Defining Simulation Intent,' focusing on automating simulation workflows. Before academia, he worked at Michelin, Williams F1 (as a Stress Engineer), and B/E Aerospace (Senior Structural Engineer), specializing in composite structures and structural integrity. He currently serves as Postgraduate Research Director (since 2022) and is a member of the EPSRC Early Career Forum in Manufacturing and the Circular Economy, and UKACM board member. His research spans design-to-simulation automation, bio-inspired design, and structural impact analysis. Key projects include PROTEUS (reimagining engineering design), COLIBRI (composite research), and Biohaviour (biological development analogies). He teaches Mechanics of Materials and Computer-Aided Engineering courses. Education: PhD in Mechanical and Aerospace Engineering (2013) Affiliations: Chartered Engineer, IMechE Member Grants/Projects: 4 active research grants, including EPSRC-funded initiatives Research outputs include 45+ publications, with recent focus on propulsion system integration, parametric nacelle modeling, and CAD-based machine learning. He has received two Best Paper Awards (2019) for manufacturing research contributions.

• Mesh generation
• Numerical simulation
• Finite element methods
• +۵ مورد دیگر

Houman BOROUCHAKI is a Professor at the University of Technology of Troyes (UTT), France, with over 20 years of academic leadership. He has served as Head of the Automatic Mesh Generation and Advanced Methods (GAMMA3) project team since 2008 and previously led the Laboratory of Mechanical Systems and Concurrent Engineering (LASMIS) (2005-2007). His work bridges academic research and industrial applications through collaborations with INRIA , French Petroleum Institute (IFPEN) , Dassault Aviation , and others. Research Interests: A pioneer in adaptive meshing , he focuses on finite element methods , geometric modeling , and numerical simulations . His innovations underpin mesh generation algorithms , 3D triangulation software , and industrial applications in metal forming, composite simulation, and subterranean modeling. Scientific Trends: His recent work emphasizes metric-based meshing , high-order geometric validity , and parallel processing for mesh generation , with applications in petroleum reservoirs, aviation surfaces, and nanomaterials. His Google Scholar profile reflects 25+ years of contributions to meshing and simulation. Teaching: With 22 years of experience, he teaches courses on meshing , numerical analysis , geometric modeling , and computer graphics at UTT, covering undergraduate to PhD levels. Labs & Teams: He leads the interdisciplinary GAMMA3 team and has contributed to LASMIS (mechanical engineering), L2n (CNRS-UMR 7076) (nanomaterials), and LIST3N (computer science).

• Structural Health Monitoring
• Seismic Analysis
• Bayesian Calibration
• +۱۴ مورد دیگر

Gaetano Miraglia is a Fixed-term Assistant Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at Politecnico di Torino, where he conducts research in structural health monitoring, seismic analysis, and computational modeling. He is a member of the Interdepartmental Center R3C – Responsible Risk Resilience Centre, contributing to interdisciplinary efforts in risk mitigation and infrastructure resilience. His work spans both theoretical and applied domains, with strong emphasis on heritage preservation and sustainable urban development. His research interests include Bayesian calibration of nonlinear models, hybrid simulation, peridynamics, masonry structures, and the integration of satellite interferometric (InSAR) data with in-situ measurements for structural monitoring. He applies advanced computational and machine learning techniques to improve the accuracy and reliability of structural assessments, particularly in historical and monumental buildings. His work supports UN Sustainable Development Goals 9, 11, and 13. His recent publications demonstrate a consistent focus on data fusion, digital twinning, domain adaptation, and real-time damage detection. He frequently collaborates with researchers such as Rosario Ceravolo and Erica Lenticchia, publishing in high-impact journals like Computer-Aided Civil and Infrastructure Engineering , Structures , and Scientific Reports , as well as at major conferences including EWSHM, SAHC, and EVACES. His research is applied in projects such as the monitoring of the Vicoforte Sanctuary and the development of the CAMELOT and HY-LEARN toolboxes. Research Projects: MONITORAGGIO VICOFORTE (2024–2026) – Member of Research Group CAMELOT – PoC Transition (2023–2024) – Member of Research Group HY-LEARN – Model Calibration via Hybrid Simulation and ML (2022–2024) – Scientific Manager (PNRR Mission 4) He teaches in various programs, including as a course collaborator in PhD, Master’s, and Bachelor’s level courses such as Earthquake Engineering , Structural Consolidation , and Seismic Risk of Cultural Heritage . He is also an inventor on national and international patents and software related to the CAMELOT toolbox, highlighting the translational impact of his research. He has no listed scientific awards or formal advisees in the provided text.

Wouter Lueksمشاهده پروفایل

استاد

• Applied Cryptography
• Anonymous Communication
• Privacy-Preserving Systems
• +۳ مورد دیگر

Wouter Lueks is a faculty member at the CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. His research focuses on designing secure, practical, and privacy-friendly systems using applied cryptography, anonymous communication, and systems engineering. He leads a lab and actively mentors PhD and PostDoc researchers. Education: PhD in Computer Science (Radboud University, Netherlands), advised by Jaap-Henk Hoepman and Bart Jacobs. Postdoctoral Researcher at EPFL, Switzerland (SPRING Lab). Research Interests: Privacy-preserving systems for humanitarian aid and public health. Cryptography in decentralized networks and anonymous communication. Secure protocols for identity management and voting systems. Key Publications: Recent work includes privacy-preserving digital wallets for aid distribution (IEEE S&P 2025), biometric deduplication systems (IEEE S&P 2024), and decentralized proximity tracing protocols (Commun. ACM 2022). His research emphasizes practical applications of zero-knowledge proofs and attribute-based credentials. Awards: Distinguished Paper Award at IEEE S&P 2023. Runner-up Casper Bowden PET Award 2021 and CNIL-Inria Privacy Award 2021. Advising & Grants: Supervises PhD/PostDoc researchers and collaborates on projects funded by EU and industry grants. Active in open-source contributions, including the zksk library and Lightnion anonymous communication tool. Labs/Teams: Principal investigator at CISPA, collaborates with the SPRING Lab (EPFL) and leads interdisciplinary teams in privacy-enhancing technologies.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

Marcelo M. Wanderleyمشاهده پروفایل

استاد

• Music Technology
• Computer Music
• Digital Musical Instruments (DMIs)
• +۵ مورد دیگر

Marcelo M. Wanderley is a Professor and Director of the Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT) at McGill University's Schulich School of Music. His academic roles include Area Coordinator for Music Technology and membership on the Executive Committee. He holds a PhD in acoustics, signal processing, and computer science from Université Pierre et Marie Curie (Paris VI). Wanderley's research focuses on novel interfaces for music performance, digital musical instruments (DMIs), and human-computer interaction. He has authored influential works such as New Digital Musical Instruments: Control and Interaction Beyond the Keyboard (2006) and pioneered research in gestural control of music. His work integrates engineering, computer science, and musicology to create innovative performance tools, including the T-Stick and Karlax instruments. He has held visiting professorships at Université de Bretagne Sud, Universidade Federal de Minas Gerais (Brazil), and the University of Mons (Belgium), where he was awarded prestigious chairs. Wanderley's awards include the Inria International Chair (2016–2020) and the Distinguished Visitor Award from the University of Auckland. His research has been widely cited in the International Conference on New Interfaces for Musical Expression (NIME), and he actively contributes to editorial boards (e.g., Computer Music Journal ) and academic leadership roles. Wanderley's lab, the Input Devices and Music Interaction Lab (IDMIL), develops open-source frameworks like Puara and Probatio for DMI design and mapping. Key research areas include haptic feedback systems, motion capture of musical performances, and accessibility in music technology. He emphasizes interdisciplinary collaboration, bridging engineering, art, and cognitive science to advance musical expression and performance practices.

Ali Kashaniمشاهده پروفایل

مدرس ارشد

• Sustainable and low-carbon concrete
• Cementitious materials
• Robot-aided construction
• +۸ مورد دیگر

Dr. Ali Kashani is a Senior Lecturer at the University of New South Wales (UNSW) within the School of Civil and Environmental Engineering. His research focuses on sustainable and low-carbon concrete materials, robot-aided construction (particularly 3D printing), and Circular Economy-aligned applications. Leadership in cementitious materials innovation Expertise in 3D printing for construction Advocate for waste valorisation and carbon capture Dr. Kashani has secured approximately $7 million in research funding and holds a patent in lightweight concrete foam. His work spans 70+ publications with 9,000+ citations, including media coverage in the Sydney Morning Herald and The Fifth Estate. He actively contributes to professional organizations such as MECLA, RILEM, and ASTM. Recent research trends include AI and optimization algorithms for sustainable concrete mix design, chloride diffusion modeling, and 3D printing performance analysis. His publications often address waste material integration, durability assessment, and eco-friendly construction practices. Scientific Awards: National and NSW Awards for 'Excellence in Concrete' (Technology and Innovation) from the Concrete Institute of Australia Churchill Fellowship for Digital Construction and 3D Printing sponsored by AVJennings Dr. Kashani serves as Co-Chair of the cement and concrete working group at MECLA and contributes to RILEM and ASTM committees. His email is ali.kashani@unsw.edu.au , and his office is located in the Civil Engineering Building (H20), Level 2, Room CE204, UNSW.

Tayfun Günelمشاهده پروفایل

استاد

• Microwave Circuits
• Radar Systems
• Antennas
• +۱۲ مورد دیگر

Tayfun Günel is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU) , Faculty of Electrical and Electronics Engineering. He holds a PhD (1993), MSc (1988), and BSc (1986), all from ITU. His research spans microwave circuits, radar systems, antennas, and optimization using genetic algorithms and soft computing. His research interests include Microwave Circuits , Radar and Antennas , Optimization , and Genetic Algorithms . His work focuses on impedance matching, microstrip antennas, noise modeling, and metamaterial-based microwave components. He has taught courses such as Electromagnetic Fields, Radar Systems, and Satellite Communication Systems. The recent publications reflect a strong trend in microwave circuit design , antenna miniaturization , and the application of evolutionary algorithms (genetic algorithms, PSO) and machine learning (neural networks, SVR) in electromagnetic design and optimization. There is a consistent focus on practical microwave components like transmission lines, patches, and amplifiers, often using nanomaterials (e.g., carbon nanotubes) and metamaterials . His work bridges theoretical modeling with computational optimization for real-world RF and radar applications. Email: gunelmur@itu.edu.tr Professor Günel has supervised 2 completed PhD theses, 2 ongoing PhD theses, 23 completed master's theses, and 1 ongoing master's thesis, demonstrating a significant contribution to student mentoring. There are no specific grants or funding sources mentioned in the provided text. He is affiliated with research in microwave systems and antenna design , likely operating within the broader research ecosystem of the Electronics and Communication Engineering Department at ITU, which includes labs such as the Microwave Systems and Antennas Laboratory and the Radar and Microwave Technologies Research Laboratory.

Yali Lingمشاهده پروفایل

استادیار

• 3D Body Scanning
• Functional Apparel Design
• Digital Fashion
• +۳ مورد دیگر

Dr. Yali Ling serves as an Assistant Professor in the Fashion Merchandising and Design program within the Department of Family and Consumer Sciences at California State University, Long Beach's College of Health and Human Services. Her research bridges traditional textile engineering with cutting-edge sustainable material innovation. Education: Ph.D. in Textile Technology Management, North Carolina State University (2021-2024) M.S. in Fashion Design and Engineering, Wuhan Textile University (2018-2021) B.S. in Fashion Design, Wuhan Textile University (2014-2018) Research Focus: Dr. Ling's work pioneers sustainable textile production through hemp/cotton blends and recycled materials, while advancing digital fashion technologies via 3D body scanning applications. Her expertise spans yarn engineering for performance textiles and functional apparel design addressing ergonomic challenges in diverse populations. This dual focus creates synergies between eco-conscious manufacturing and precision garment engineering. Publication Trends: Her 15 most recent publications (2019-2025) reveal three converging trajectories: (1) Sustainable material innovation (hemp textiles, eco-spinning), (2) Triboelectric wearable technology development, and (3) Anthropometric-driven apparel design. These strands collectively address industry demands for environmentally responsible production while enhancing human-technology interfaces in textile applications. Scientific Recognition: 2024 Best Poster Presentation at Textile Research Open House (NCSU) 2022 VF Graduate Student Impact Award ($5,000) 2021 Wuhan Textile University Special Graduate Scholarship ($1,500) 2020 Chinese Ministry of Education National Scholarship ($3,000) 2020 CNTAC "Maker China" Innovation Excellence Award 2019 China Natural Dialectics Research Association Symposium Prize Professional Engagement: Dr. Ling maintains active industry partnerships through her sustainable textile research while mentoring undergraduate students in the Fashion Merchandising and Design program. Her current work focuses on scaling hemp-based textile production and developing AI-integrated pattern generation systems. Research Infrastructure: While specific laboratory facilities aren't detailed in available materials, her publications indicate collaborations with Wilson College of Textiles' advanced manufacturing facilities and access to 3D body scanning technologies for anthropometric research.

Sumanta Dasمشاهده پروفایل

دانشیار

• Sustainable Cementitious Materials
• Microstructure and Material Modeling
• Materials Design for Sustainable and Durable Infrastructure
• +۵ مورد دیگر

Dr. Sumanta Das is an Associate Professor and Graduate Director in the Department of Civil and Environmental Engineering at the University of Rhode Island. His research focuses on sustainable infrastructure materials, with particular expertise in cementitious materials, composite structures, and advanced computational modeling techniques. He directs a vibrant research group that bridges experimental mechanics with computational modeling and machine learning approaches to address challenges in infrastructure durability and performance. Dr. Das received his educational training from prestigious institutions: Ph.D. in Materials and Structures from Arizona State University (2015) M.Tech. in Structural Engineering from Indian Institute of Technology, Kanpur (2012) B.E. in Civil Engineering from Jadavpur University (2010) His research interests center around developing sustainable and durable infrastructure materials through innovative design approaches. Dr. Das investigates microstructure-property relationships in cementitious systems, with special focus on materials containing microencapsulated phase change materials for freeze-thaw durability, fiber-reinforced composites, and smart cementitious materials with self-sensing capabilities. His work integrates advanced experimental techniques like nanoindentation with computational modeling approaches including finite element analysis, molecular dynamics simulations, and machine learning algorithms to predict material behavior and optimize performance. Dr. Das's recent publications demonstrate a clear trajectory toward integrating machine learning with traditional materials science approaches. His research group has made significant contributions to understanding the behavior of cementitious composites under extreme conditions, developing multifunctional composites with embedded sensing capabilities, and creating computational frameworks that bridge multiple scales from molecular to structural levels. The work shows increasing sophistication in combining experimental validation with predictive modeling. Dr. Das has successfully secured numerous research grants as PI or Co-PI from diverse funding sources including the Office of Naval Research, Department of Defense, US Department of Transportation, and industry partners like Goetz Composites. His research portfolio spans infrastructure durability, composite materials for marine applications, and smart sensing technologies for structural health monitoring. As an educator and mentor, Dr. Das has supervised multiple doctoral and master's students who have completed theses on topics including: Multiscale simulation and machine learning-assisted performance prediction for cementitious composites Performance-based multiscale tuning of inclusion-modified and 3D printed composites Enhancing freeze-thaw durability of cementitious composites through innovative materials design Underwater explosion response of composite structures Implosion pulse mitigation using additively manufactured filler profiles

Naglaa Elagamyمشاهده پروفایل

دانشیار

• Advanced Composite Materials
• Micro Computed Tomography (micro-CT)
• Stress Simulation
• +۶ مورد دیگر

Naglaa Elagamy is an Associate Teaching Professor in the Department of Mechanical and Manufacturing Engineering at Ontario Tech University. She holds a Ph.D. in Mechanical Engineering from Carleton University (2015), an M.A.Sc. in Engineering from Alexandria University (2002), and a B.Sc. in Engineering from the same institution (1994). As a licensed Professional Engineer (P.Eng.) in Ontario (2016–present) and a Certified SolidWorks Associate (CSWA), her expertise spans advanced composite materials, micro-CT imaging, stress simulation, and fatigue assessment of composite structures. Her research focuses on predicting progressive damage in materials and applying micro-CT for quantitative and qualitative damage analysis in carbon fiber reinforced polymers (CFRP). She has also explored aerodynamic performance optimization of small unmanned aerial vehicles (UAVs) through propeller design studies. Elagamy’s publications and presentations emphasize interdisciplinary approaches, combining experimental techniques like micro-CT with computational methods such as the Cohesive Zone Model and Finite Element Analysis. Her work addresses challenges in composite material durability, structural integrity, and multi-mode fatigue behavior. Beyond research, she contributes to teaching core mechanical engineering courses, including Kinematics and Dynamics of Machines, Statics, Solid Mechanics, and Computer-aided Design. Her professional recognitions include the Carleton University Development Grant (2014) and the AUD Recognition for Services (2018). Her advising and grants activities are not explicitly detailed here, but she has secured funding for her research at Carleton University. She is affiliated with the Faculty of Engineering and Applied Science and collaborates with industry and academic conferences such as SAMPE and CAMX. While specific lab affiliations are not mentioned, her research aligns with cutting-edge structural and materials analysis within the department.

Shirin Nilizadehمشاهده پروفایل

دانشیار

• Cybersecurity
• Privacy
• Social Media Analysis
• +۷ مورد دیگر

Dr. Shirin Nilizadeh is an Associate Professor in the Department of Computer Science and Engineering at The University of Texas at Arlington's College of Engineering. She leads the Security and Privacy Research Lab, conducting interdisciplinary research at the intersection of cybersecurity, privacy, machine learning, and social media analysis. Her work addresses critical societal issues related to online security, privacy, and safety through data-driven approaches. Dr. Nilizadeh received her PhD in Computer Science from Indiana University in 2014, followed by MS in Computer Science from Amirkabir University (2007) and BS in Computer Engineering from Islamic Azad University (2004). Her research focuses on security and privacy in systems and social networks, employing techniques from machine learning and big data analytics. She takes a highly interdisciplinary approach, integrating AI, NLP, social sciences, and public health to address societal issues in cybersecurity and privacy. Her research objectives include: (1) detecting and characterizing emerging threats in online social networks like social engineering attacks, misinformation, and online hate speech; (2) advancing the adversarial robustness and fairness of ML and NLG systems; and (3) studying humans' online behaviors through data-driven interdisciplinary research. Analysis of her recent publications reveals a strong focus on AI-generated security threats, particularly phishing scams using LLMs, NFT fraud detection, social media toxicity analysis, and content moderation systems. Her work bridges theoretical security research with practical applications, often addressing real-world security challenges through innovative technical solutions. Among her notable scientific achievements are the prestigious NSF CAREER award (2023), Comcast Innovation Awards (2022 and 2024), College of Engineering Outstanding Early Career Research award (2024), and IEEE SP 2024 Distinguished Paper Award. Her work has also received best paper and technical poster awards at eCrime 2021 and NDSS 2022. Dr. Nilizadeh has successfully mentored numerous doctoral and master's students while securing significant research funding, including multiple NSF grants and Comcast Innovation Fund awards. She leads a vibrant research group that has produced impactful work cited in official reports submitted to The Supreme Court and the EU Committee on Civil Liberties, Justice, and Home Affairs. Her lab has also received coverage from WIRED, MIT Technology Review, Orange's Hello Future, and Communications of the ACM. She serves on numerous program committees for top international conferences including ACM CCS, USENIX Security, and POPETS, and has organized outreach programs like OurCS@DFW to broaden participation of underrepresented students in computing.

Sermet DEMİRمشاهده پروفایل

استادیار

• Mechanical Engineering
• Biomedical Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Sermet DEMİR is an Assistant Professor at the Faculty of Engineering , Department of Mechanical Engineering , Doğuş University. His work focuses on additive manufacturing, orthotic device design, and mechanical property optimization of composite materials. He teaches courses such as Experimental Engineering, Manufacturing Technology, and Computer-Aided Design. Education : BSc and MSc in Mechanical Engineering from Marmara University; PhD in Mechanical Engineering from Marmara University (2018). Research Interests center on biomedical devices, 3D printing, and structural analysis. His publications often employ the Taguchi method, Response Surface Methodology (RSM), and Quality Function Deployment (QFD) for design optimization. Recent works explore triply periodic minimal surface (TPMS) metamaterials, war bow mechanics, and adhesive joint performance. Scientific Awards are not explicitly mentioned in the text. His projects are sponsored by Doğuş University Scientific Research Projects Coordination Unit (grants 2021–22-D1-B02).

• Additive Manufacturing
• Biomass Compaction
• Material Science
• +۷ مورد دیگر

Prof. Ing. Juraj Beniak, PhD is a leading academic at the Institute of Production Engineering and Production Quality (Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava, STU). He serves as a Professor CSc., PhD and holds external collaborator roles at the Institute of Computer Engineering and Applied Informatics (FIIT) and the Institute of Manufacturing Technologies (MTF). His research bridges mechanical engineering and sustainable production. Office: U.V.I.P. SjF, Office 537 Contact: +421 2 57296 537 | +421 905 593 953 (mobile) Beniak's research focuses on additive manufacturing , biomass compaction , and smart production technologies . He investigates 3D printing parameter optimization, surface modification techniques, and composite material development from renewable sources. His work addresses both industrial applications and environmental sustainability through advanced manufacturing. Key projects include: OP R&I: Automation in freight railway vehicle production (2019–2023) APVV-18-0527: Additive manufacturing technology development (2019–2022) Recovery Plan: AI-driven waste management systems (2024–2026) As a KEGA grant guarantor and APVV co-investigator , he leads initiatives in CAx education, virtual laboratories, and biofuel production optimization. His contributions span from experimental equipment design to mathematical modeling of compaction processes.