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Kevin T. TurnerView profile

Professor

• Mechanics
• Materials Science
• Manufacturing
• +6 more

Kevin T. Turner is the John Henry Towne Department Chair and Professor of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania's School of Engineering and Applied Science, with a secondary affiliation in Materials Science and Engineering. He leads the Turner Research Group, which investigates mechanics, materials, and manufacturing challenges, specializing in micro/nano-systems, adhesion, fracture mechanics, and advanced manufacturing. His research focuses on three primary thrusts: Materials with programmable mechanical properties (e.g., electroadhesives for robotics) Fracture and adhesion in structured/heterogeneous materials Printed and flexible sensors (including biodegradable cellulose-based variants) Key projects include tunable adhesion surfaces, architected materials for damage tolerance, and additive manufacturing stress control. Turner's recent publications (2022-2023) demonstrate a strong emphasis on adhesion mechanics, robotics applications, and nanomaterial design. Trends include bio-inspired structures, machine learning optimization, and interdisciplinary approaches bridging mechanics with biomedicine and agriculture. Computational methods like physics-informed neural networks are increasingly utilized for material property analysis. He directs an active research laboratory developing novel sensor technologies and materials systems, collaborating widely across engineering and applied science disciplines.

Felecia DavisView profile

Associate Professor

• Computational Textiles
• Responsive Architecture
• Digital Fabrication
• +3 more

Felecia Davis is an Associate Professor of Architecture at Stuckeman School, Penn State University , where she leads the SOFTLAB research group. Her work bridges architecture, computational design, and textile technology, exploring how responsive materials can transform spatial experiences. She is also a co-founder of the Black Reconstruction Collective , a non-profit supporting Black diaspora design work. Ph.D. in Design and Computation from MIT Master of Architecture from Princeton University B.S. in Engineering from Tufts University Davis investigates the intersection of computational textiles , responsive architecture , and Black spatial practices . Her research includes thermoresponsive knitted structures, emotion-sensing textiles, and mycelium-based architectural composites. She examines how materials can embody cultural narratives and environmental adaptability. Her 15 most recent publications (2012-2024) focus on topics like knitted tension structures, biohybrid materials, dreadlock-inspired architecture, and electromagnetic urbanism. These works span disciplines including architecture , material science , and cultural studies , with subfields like soft robotics , haptic interfaces , and sustainable fabrication . 2023 Bogliasco Foundation Architecture Fellow 2022 Cooper Hewitt Smithsonian Design Museum Digital Design Awardee 2022 Architectural League Emerging Voices Winner 2021 MoMA Reconstructions Exhibition Contributor 2013-2012 Multiple MIT research awards Davis has advised students in projects like MycoKnit and Phototropic Fiber Composites , and led design studios at Princeton , Cooper Union , and Cornell . Her SOFTLAB pioneers textile-based architectural systems, while her forthcoming book Softbuilt: Networked Architectural Textiles (2025) synthesizes her material research.

Josep M. Font-LlagunesView profile

Professor

• Rehabilitation Robotics
• Biomechanics of Human Movement
• Multibody System Dynamics
• +12 more

Josep M. Font-Llagunes is a Full Professor of Mechanical Engineering at the Polytechnic University of Catalonia (UPC), where he leads the Biomechanical Engineering Lab (BIOMEC) within the Research Centre for Biomedical Engineering (CREB). His work bridges engineering and clinical rehabilitation, focusing on robotics, biomechanics, and computational modeling for human movement disorders. His research interests include rehabilitation robotics, biomechanics of human movement, multibody system dynamics, gait analysis, wearable exoskeletons, and neuromuscular rehabilitation. He employs advanced computational techniques to model human motion and optimize assistive devices, with a strong emphasis on clinical translation. The trends in his recent publications highlight a focus on predictive simulation of human movement, clinical evaluation of exoskeletons, musculoskeletal modeling, and upper limb assessment in neuromuscular diseases. His work integrates biomechanical modeling with wearable sensor technology and virtual reality to enhance rehabilitation outcomes. Agustín de Betancourt y Molina Medal by the Royal Academy of Engineering (2017) OpenSim Outstanding Researcher Award (2018) He actively mentors students and collaborates on numerous research projects involving PhD candidates and postdoctoral researchers. His lab conducts clinical trials and develops novel computational protocols for prosthetic alignment, exoskeleton control, and muscle force estimation. The Biomechanical Engineering Lab (BIOMEC) at UPC is a key hub for innovation in rehabilitation technology, focusing on personalized, evidence-based solutions for gait and upper limb rehabilitation.

Mai ElshehalyView profile

Lecturer

• Information Visualisation
• Human-Computer Interaction
• Visual Analytics
• +7 more

Mai Elshehaly is a Lecturer in Computer Science at City, University of London, where she is affiliated with the giCentre in the Department of Computer Science, School of Science and Technology. She focuses on designing, developing, and evaluating visualisation solutions that support data-driven decision-making, particularly for non-technical users in healthcare and public sectors. Her work involves close collaboration with healthcare practitioners, local authorities, and schools to co-design tools grounded in real-world needs. Her research interests center on information visualisation and human-computer interaction , with a strong emphasis on user-centered and co-design methodologies . She investigates how lived experiences of stakeholders can shape visual analytics systems, especially in healthcare quality improvement, population health management, and digital transformation initiatives. Her approach bridges technical innovation with social impact, promoting equitable access to data insights. Her recent publications highlight trends in narrative visualization, integration of lived experience with electronic records (e.g., CLEVER framework), and adaptable dashboards for healthcare (QualDash). These works are published in top venues such as IEEE VIS, IEEE TVCG, and Computer Graphics Forum, reflecting a consistent focus on usability, evaluation, and real-world deployment of visual analytics tools. Department-level achievement award during PhD at Virginia Tech University-level achievement award during PhD at Virginia Tech Mai has secured research funding from the Bradford Institute for Health Research (BIHR), NIHR, and internal university sources including EPSRC doctoral training funds. She has led and contributed to interdisciplinary projects such as the Digital Makers Programme and Connected Bradford, which involve partnerships across academia, healthcare, and local government. While no formal PhD students are listed, she mentors through collaborative research and advisory roles. She is actively involved in applied research through leadership positions: Co-Director of the Digital Makers Programme, Deputy Director of the Workforce Observatory for West Yorkshire, member of the advisory board at the Wolfson Centre for Applied Health Research, and cross-theme visualisation expert at the Yorkshire and Humber Patient Safety Research Centre. These roles underscore her commitment to translating research into practice within health and education systems.

Yue (Jessica) WangView profile

Associate Professor

• 3D printable functional polymers
• Biomimetic electronic materials
• Organic structural metamaterials
• +5 more

Dr. Yue (Jessica) Wang is an Associate Professor of Chemical and Materials Engineering at the University of California, Merced. She holds additional appointments in the Chemistry and Biochemistry and Bioengineering departments, reflecting her interdisciplinary expertise. Her research focuses on creating biomimetic electronic materials that replicate biological systems' mechanical and physiological properties. Ph.D., Inorganic Chemistry (2014) - University of California, Los Angeles B.S., Chemistry (2008) - University of California, Los Angeles Dr. Wang's laboratory develops advanced materials with four core research areas: (1) dynamically adaptive electronic materials, (2) additive manufacturing of functional metamaterials, (3) organic reconfigurable materials, and (4) slime mold-aided bio-designed networks. These innovations enable patient-specific biomedical devices capable of detection, sensing, and stimulation, while prioritizing environmental and intellectual sustainability. The lab's recent research trends include 3D-printed conductive polymers, strain-invariant electronic foams, and graphene-based nanomaterials. This work intersects soft electronics, biomimicry, and advanced manufacturing techniques to create materials with unprecedented mechanical and electrical properties. Dr. Wang's team combines expertise in polymer synthesis, device fabrication, and mechanical characterization, operating at the intersection of chemistry, engineering, and biotechnology. She can be reached at yuewang@ucmerced.edu or +1 (209) 228-3611.

Magdalini EirinakiView profile

Professor

• Recommender Systems
• Machine Learning
• Data Mining
• +5 more

Magdalini Eirinaki is a Professor and Academic Program Coordinator for the MS in Artificial Intelligence at San José State University's Charles W. Davidson College of Engineering. With a career spanning two decades, her work bridges recommender systems , machine learning , and smart city applications . PhD in Computer Science (2006), Athens University of Economics and Business MSc in Advanced Computing (2000), Imperial College London BSc in Computer Science (1998), University of Piraeus Her research focuses on machine learning and recommender systems with extensions to generative AI , privacy-sensitive algorithms , and social network analysis . Recent publications explore federated learning , multi-resolution diffusion models , and autonomous network defense using reinforcement learning. Current projects include NSF-funded CollaborAIte (2024) EU Horizon/Marie Sklodowska-Curie's MUSIT (2024) IBM SkillsBuild Cloud Credits for Sustainability (2024) She has received multiple teaching and mentorship awards including: Newnan Brothers Award (2019) Applied Materials Award (2017) 5-time SJSU Distinguished Faculty Mentor Award Dr. Eirinaki advises students in AI , ML , and smart city projects, with recent graduates presenting at IEEE CAI (2025) and CSU Conference (2025).

• Computer Science
• Artificial Intelligence
• Cybernetics
• +3 more

Dilip Sarkar serves as an Associate Professor in the Department of Computer Science at the College of Arts and Sciences, University of Miami. His academic profile demonstrates a strong research focus across multiple domains of computer science with particular emphasis on theoretical foundations and practical applications. Dr. Sarkar's research interests include: Artificial Intelligence and Cybernetics Parallel Algorithms and Programming Combinatorics Image Processing and Compression Internet of Things Security Machine Learning Applications in Healthcare Quantum Computing Approaches His publication record from 2018-2024 reveals a researcher engaged with cutting-edge computational challenges. Recent work spans quantum tensor networks for time series analysis, security frameworks for single sign-on systems, efficient computation in belief theoretic models, and machine learning applications for traumatic brain injury recovery prediction. His research demonstrates consistent integration of theoretical computer science with practical problem-solving across diverse application domains. As a member of CCS (Center for Computational Science) at the University of Miami, Dr. Sarkar participates in interdisciplinary research initiatives that bridge computational methods with scientific discovery across multiple fields. His technical expertise spans both theoretical frameworks and practical implementations, with notable contributions to image compression techniques, particularly for medical applications, and security protocols for modern web and IoT environments.

Maurizio ManciniView profile

Associate Professor

• Human-Computer Interaction
• Multimodal Interaction
• Affective Computing
• +5 more

Maurizio Mancini is an Associate Professor in the Department of Computer Science at Sapienza University of Rome. His research focuses on Human-Computer Interaction, Affective Computing, and Multimodal Interaction, with applications in Virtual Reality, Embodied Conversational Agents, and Digital Commensality. He has contributed to understanding expressive movement analysis, social robotics, and adaptive systems in gaming and mindfulness contexts. 2024 : 8 publications on VR mindfulness, reinforcement learning, digital commensality, and multimodal interaction 2023 : 4 studies on human-food interaction, gait recognition, and AI human-likeness 2022 : 5 papers on social robots, collaborative dining, and anomaly detection His work spans topics like nonverbal leadership in full-body improvisation, transactive memory systems in group interactions, and computational models for human-food interaction. Teaching includes courses on Human-Machine Interaction and Programming.

Aleksandra SarcevicView profile

Professor

• Computer Science
• Human-Computer Interaction
• Healthcare Informatics
• +7 more

Aleksandra Sarcevic is a Professor of Information Science at Drexel University's College of Computing & Informatics (CCI), where she directs the Interactive Systems for Healthcare (IS4H) Research Lab. She earned her PhD (2009) and MLIS (2005) from Rutgers University's School of Communication and Information, and holds a BA in Film and TV Production from the University of Arts, Belgrade. PhD, Communication, Information and Library Studies MLIS, Library and Information Science BA, Film and TV Production Her research focuses on computer-supported cooperative work (CSCW) , human-computer interaction (HCI) , and healthcare informatics , with specializations in: Collaboration in high-risk environments Medical team coordination Context-aware systems for critical care Crisis informatics Socio-technical system design Recent publications examine AI-enabled decision support , PPE compliance monitoring , and real-time clinical alert systems , with funding from NIH , NSF , and AHRQ . She received the NSF CAREER award in 2013 and mentors both current and graduated PhD students in interdisciplinary research. The IS4H lab develops interactive healthcare systems for trauma resuscitation and infection control, employing ethnographic methods and sensor-based activity recognition to improve medical team performance.

• Interface of Biology & Engineering
• Materials Science & Engineering
• Mechanical & Manufacturing Engineering
• +7 more

Paulo Jorge Da Silva Bartolo is a Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), and Executive Director of the Singapore Centre for 3D Printing (SC3DP). He holds the President's Chair in Additive Manufacturing and has previously served as Chair Professor of Advanced Manufacturing at the University of Manchester (2014-2021) and founded the Centre for Rapid and Sustainable Product Development at the Polytechnic Institute of Leiria (2007-2013). Current: Professor, NTU Singapore 2014-2021: Chair Professor, University of Manchester 2007-2013: Director, Centre for Rapid and Sustainable Product Development (Portugal) His research spans the interface of biology and engineering , focusing on additive manufacturing for medical applications. Key areas include 3D-printed scaffolds for bone tissue engineering , graphene composites , biomanufacturing , and functionally graded materials in construction. His work integrates materials science with mechanical engineering to advance regenerative medicine and sustainable manufacturing. Prominent trends in his recent publications include multi-material scaffolds for bone regeneration, electrospinning techniques , and smart nanogels for environmental sensing. These studies emphasize nanotechnology integration , biomimetic design , and precision manufacturing across biomedical and civil engineering domains. Fellow of CIRP (International Academy of Production Engineering) Commendation from Portuguese Government (2021) Commendation from Polytechnic Institute of Leiria (2014) Council Award Afonso Lopes Vieira for Innovation (2009) With over 600 publications, 22 edited books, and 16 patents, Bartolo's work drives cross-disciplinary innovation. He has served on evaluation panels for the European Research Council , EPSRC , BBSRC , and funding agencies across Portugal, Italy, Netherlands, Belgium, France, Canada, Switzerland, and South Africa. As Academic Lead for Industry 4.0 at the Thomas Ashton Institute and former Head of the Manufacturing Group at the University of Manchester, he bridges digital manufacturing with health and safety research. His leadership extends to the EPSRC Global Challenges Research Fund and Manufacturing Futures panels.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +9 more

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

Lin JiangView profile

Assistant Professor

• Biomechanics
• Robotics
• Medical Assistive Device Development
• +3 more

Dr. Lin Jiang serves as Assistant Professor in the Department of Mechanical Engineering at San José State University's Charles W. Davidson College of Engineering, where her research bridges biomechanics and robotics to develop medical assistive technologies and human-robot interaction systems. Her educational background includes a Ph.D. and M.Sc. in Mechanical Engineering from the University of Texas at Dallas (2021, 2019), complemented by an M.Sc. in Control Engineering and B.Sc. in Aerospace Engineering from Nanjing University of Aeronautics & Astronautics (2014, 2011) with a minor in Industrial Business Management. Dr. Jiang's research focuses on translating aerospace control systems expertise into medical applications, particularly in rehabilitation robotics and breastfeeding technology. Her work emphasizes human-centered design for devices like the patented SmartLact8 breast pump, with recent publications demonstrating significant contributions to teleoperated rehabilitation systems and lactation biomechanics. Her 15 most recent publications (2020-2025) reveal consistent specialization in medical robotics, with dominant themes in rehabilitation devices (knee braces, upper extremity therapy), breastfeeding technology innovation, and human-robot interaction frameworks for healthcare and driving safety applications. Scientific recognition includes: New Investigator Award from CSUPERB Small Group Project Award from SJSU College of Engineering Exemplary Teaching award from UT Dallas Diversity Award from Summer Biomechanics Conference Best Paper award at ASME IMECE 2018 Research funding includes NSF support for hospital-based human-robot interaction studies. Dr. Jiang actively contributes to IEEE HKN, BMES, ASME, and ISHRML while mentoring students through her Biomechanics and Robotics Lab at SJSU. The Biomechanics and Robotics Lab serves as the primary research hub for developing medical assistive technologies, with current projects focusing on rehabilitation robotics, breastfeeding simulation systems, and human-robot interaction protocols for clinical environments.

• Drug Delivery
• Nanotechnology
• Cancer Therapy
• +3 more

Jia Zhao serves as a Research Fellow at the Yale School of Public Health, Yale University, specializing in advanced drug delivery systems and nanotechnology for oncological and neurological applications. Their work bridges pharmaceutical sciences, polymer engineering, and clinical therapeutics to develop innovative solutions for cancer treatment and brain disorders. Research focuses on: Stimuli-responsive nanocarriers activated by tumor microenvironment conditions (pH, ROS, glutathione) Brain-targeted delivery systems for brain cancer and stroke therapy Enzymatic synthesis of biodegradable polymers for controlled drug release ROS-amplifying chemo-sonodynamic combination therapies Biodegradable contraceptive implant technology Recent publications (2020-2024) reveal a strategic emphasis on overcoming biological barriers through multi-stimuli responsive materials, particularly for brain tumor treatment where blood-brain barrier penetration remains challenging. Key innovations include glutathione-consumable nanoparticles for enhanced chemodynamic therapy and polymeric systems enabling endosomal escape in mRNA delivery. The research consistently integrates polymer chemistry with oncology to address drug resistance mechanisms in aggressive cancers. Contact is maintained through Yale School of Public Health with the professional email jia.zhao@yale.edu, reflecting active engagement in the academic community.

• Human-robot physical interaction
• Elderly people
• Smart-walker
• +3 more

Ludovic Saint-Bauzel is a lecturer at Sorbonne University and head of the IRIS team at the Institute of Intelligent Systems and Robotics (ISIR). His work focuses on improving physical human-robot interaction for individuals with autonomy loss through disability or aging. Specializes in computational models of disabilities Develops user intent detection through sensor fusion Active in IFRH and Fedrha federations IEEE and True Life Lab member Research interests His research centers on Human-robot physical interaction with applications in Elderly care , Smart-walker development, and Walking exoskeleton systems. Key methodologies include: Sensor fusion (depth cameras, force sensors, IMUs) Adaptive robot control systems Pathological movement modeling Motor intent prediction algorithms Article trends show consistent focus on haptic communication (6/15), assistive robotics (9/15), and sensorimotor interaction (11/15) across 2013-2022 publications. Laboratory involvement : Leads the IRIS team at ISIR, part of Fedrha (Federation for Research on Disability and Autonomy) with 50+ research teams.

Vinh NguyenView profile

Assistant Professor

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +5 more

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.