جست‌وجوی استاد و پژوهشگر

Faye Harwellمشاهده پروفایل

استادیار مهمان

• Biological Anthropology
• Primatology
• Evolutionary Endocrinology
• +۴ مورد دیگر

Faye Harwell serves as a Visiting Assistant Professor in the Department of Anthropology at Boston University, specializing in biological anthropology and primatology with a focus on orangutan biology and life history evolution. Her research bridges fieldwork in Indonesia with comparative analyses of captive and wild great ape populations. Dr. Harwell's academic background includes: Ph.D. in Biological Anthropology from Boston University (2023) M.A. in Biology from Clark University B.A. in Biology from Clark University Her research program centers on sexual dimorphism in orangutan body composition, life history parameters (including age at first birth and longevity), and evolutionary endocrinology. She employs innovative field methodologies like laser photogrammetry to study wild Bornean orangutans in Gunung Palung National Park, examining morphological development, hormonal cycles, and ecological adaptations. Her work connects primate biology to broader questions in human evolution and fossil hominin analysis. Analysis of her 15 most recent publications (2020-2025) reveals consistent thematic focus on orangutan biology, with dominant threads in sexual dimorphism (particularly male bimaturism and flanging processes), life history theory, and methodological innovation in non-invasive measurement techniques. Her scholarship integrates biological anthropology, conservation science, and evolutionary biology to address questions about great ape evolution and implications for understanding hominin fossil records. No documented scientific awards or fellowships were identified in available sources. Dr. Harwell teaches specialized courses including AN 558: Human Sex Differences and AN 559: Evolutionary Endocrinology. While specific grant details and graduate student mentorship records aren't publicly documented, her active publication record and fieldwork involvement suggest ongoing research collaborations. She participates in professional communities such as the Northeastern Evolutionary Primatologists (NEEP) network. She is actively involved with the Gunung Palung Orangutan Project, a 25-year interdisciplinary initiative combining long-term primate research with community-based conservation efforts in Indonesian Borneo. This project represents a critical nexus of field biology, habitat protection, and sustainable conservation practices focused on endangered Bornean orangutans.

Albert Yoonمشاهده پروفایل

استاد

• Law and Economics
• Legal Ethics
• Artificial Intelligence in Law
• +۴ مورد دیگر

Albert Yoon is a Professor and holds the Michael J. Trebilcock Chair in Law and Economics at the University of Toronto Faculty of Law. He previously served as Associate Dean (Research & Curriculum) from 2018–2020 and has held academic positions at Northwestern University. His research focuses on labor markets in legal professions, legal ethics, and applications of AI to law. He co-founded Blue J, an AI startup aiding tax and legal professionals. Education: BA from Yale, JD and PhD (Political Science) from Stanford. Professional experience includes clerkship at the U.S. Court of Appeals for the Sixth Circuit. Fellowships include the Pierre Elliott Trudeau Fellowship (2022), Princeton University, and Robert Wood Johnson Foundation. Research interests span legal economics, judicial behavior, and technology's impact on law. Notable awards include the Ronald H. Coase Prize and American Law Institute membership. His work bridges empirical legal studies and computational methods, addressing topics like Supreme Court clerkships, AI-driven legal predictions, and tax law analytics. Publications include over 47 scholarly articles in top journals like Chicago Law Review , Stanford Law Review , and Journal of Law & Economics . Recent work examines AI in legal practice, gender disparities in M&A legal teams, and judicial decision-making dynamics.

Sheng Sangمشاهده پروفایل

استادیار

• Mechanical Engineering
• Biomedical Engineering
• Machine Learning
• +۷ مورد دیگر

Sheng Sang is an Assistant Professor in the Department of Engineering Sciences at Bethany Lutheran College. His research lies at the intersection of Mechanical Engineering and Biomedical Engineering, with a strong emphasis on machine learning applications in composite materials and elastic metamaterials. His research interests include: Mechanical & Biomedical Engineering Machine Learning on Composites Elastic Metamaterials and Composites Optimization of Medical Devices Finite Element Modeling and Simulation Dr. Sang's recent publications demonstrate a consistent focus on integrating deep learning techniques with mechanical systems, particularly in predicting composite microstructures, tracking particles in complex systems, and optimizing wave propagation in metamaterials. His work frequently employs 3D CNNs and other neural architectures to solve inverse problems in material science. Scientific awards and recognition include: Dr. Lehtola Fellowship Research Grant ($9,000, PI), 2021–2023 Graco Engineering Lab Development Grant ($60,000), 2020–2022 He has been actively involved in teaching a wide range of engineering courses such as Fluid Mechanics, Solid Mechanics, Thermodynamics, and Computer-Aided Design. His research is supported by external grants, indicating active supervision and project leadership. Dr. Sang has collaborated with researchers across disciplines, including neuroscience and medical imaging, particularly in studies involving deep brain stimulation and fMRI. He is affiliated with research teams working on: Active elastic metamaterials design Machine learning for material characterization Optimization of biomedical devices using swarm intelligence Development of advanced simulation tools for composite systems

Michael Clarkeمشاهده پروفایل

استاد

• Computer Music
• Electroacoustic Music
• Music Technology
• +۶ مورد دیگر

Professor Michael Clarke is a distinguished academic at the University of Huddersfield , serving as Director of IRiMaS (Interactive Research in Music as Sound) and holding leadership roles including former Dean of the School of Music, Humanities and Media and Dean of the Graduate School . His career spans over three decades at Huddersfield, where he has pioneered innovative software for music composition, pedagogy, and analysis. Education: PhD in Music (Durham University), MTC in Teaching (UCL Institute of Education) Clarke's research focuses on composition , particularly in live interactive works , and the development of software like Max/MSP for musicological analysis and sound synthesis. His work intersects with UN Sustainable Development Goals , emphasizing technological innovation in education and cultural preservation. Recent publications highlight his contributions to interactive aural analysis and fluid corpus manipulation tools. Clarke has secured major funding, including a €2.5m ERC Advanced Grant for IRiMaS and AHRC grants for collaborative projects. Awards include the National Teaching Fellowship (2011) and multiple European Academic Software Awards . Scientific Awards: National Teaching Fellowship (2011) European Academic Software Awards (record 3 wins) As a Principal Investigator , he has led projects with Prof Peter Manning and Dr Frédéric Dufeu, while actively supervising PhD students and contributing to REF assessments.

• Concrete Materials Science
• Structural Engineering
• Computational Modeling
• +۴ مورد دیگر

Dr. Tathagata Bhaduri is a Lecturer in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI). He holds a Ph.D. in Civil Engineering from RPI (2021), an M.Tech. from the Indian Institute of Technology, Kanpur (2016), and a B.E. from the Indian Institute of Engineering, Science and Technology, Shibpur (2014). His research focuses on computational modeling of ultra-high-performance concrete (UHPC), particularly multi-scale techniques, fiber orientation effects, and failure modes in UHPC structures. He also explores smart systems for structural vibration control using bracing and fluid dampers. Dr. Bhaduri teaches core courses including Strength of Materials and Engineering Economics, and served as the course coordinator for Strength of Materials in Fall 2023. His professional involvement includes contributions to the American Concrete Institute (ACI) 239C committee, aiding in UHPC design guide development. His publications emphasize UHPC's mechanical properties, multi-scale modeling, and fiber-reinforced material behavior. Research trends highlight interdisciplinary approaches combining experimental and computational methods to address structural challenges in advanced materials.

• Human-Machine Interaction
• Usability Testing
• User Experience (UX)
• +۵ مورد دیگر

Jürgen Sauer is a Full Professor at the University of Fribourg , affiliated with the Department of Psychology under the Faculty of Letters and Human Sciences . With over 120 publications, his research focuses on Human-Machine Interaction , Usability Testing , User Experience (UX) , and Automation Design , particularly in high-stakes environments like X-ray baggage screening and spaceflight simulations . Email: juergen.sauer@unifr.ch Phone: +41 26 300 7622 Address: RM 01 bu. C-1.117, Rue PA de Faucigny 2, 1700 Fribourg Orcid: 0000-0003-2105-1694 His research projects, funded by the Swiss National Science Foundation (FNS), include: Improving work design for airport security officers (2019-2024): Developed pictorial scales for measuring psychological constructs in security environments. Social stress and support in hybrid teams (2018-2023): Investigated machine-induced social stressors and mitigation through social support. Automation in visual inspection tasks (2014-2018): Examined adaptable automation for baggage screening and system reliability effects. Usability testing effectiveness (2012-2016): Analyzed cultural background impacts and non-usability product features influencing test outcomes. Key contributions include the Luggage Inspection Simulation (LIS) environment for modeling work environments and the development of pictorial usability scales for multilingual applicability. His work bridges ergonomics , human factors , and applied psychology , with notable collaborations with researchers like Adrian Schwaninger and Andreas Sonderegger . His recent publications (2025-2014) analyze: Human-machine performance under false alarms and miscues Social stressor dynamics in hybrid teams Usability scale animation effects Phubbing behavior in professional contexts Accessible website design for non-disabled users

Weitao Wangمشاهده پروفایل

استادیار

• Head and Neck Oncology
• Facial Plastic and Reconstructive Surgery
• Skull Base Surgery
• +۴ مورد دیگر

Dr. Weitao Wang serves as an Assistant Professor in the Department of Otolaryngology at the University of Rochester School of Medicine and Dentistry. Board-certified in both Otolaryngology-Head and Neck Surgery and Facial Plastic and Reconstructive Surgery, he practices clinically at UR Medicine and the Wilmot Cancer Institute in Rochester, NY, specializing in complex head and neck reconstruction and facial plastic procedures. Medical Degree: University of Virginia School of Medicine Residency: Otolaryngology-Head and Neck Surgery, University of Rochester Medical Center (2015-2019) Fellowship: Facial Plastic and Reconstructive Surgery, The Institute for Rehabilitation and Research (2019-2020) His research focuses on advancing head and neck reconstruction through tissue engineering (particularly bone/cartilage grafting) and optimizing surgical education via point-of-view video technology. Clinical investigations prioritize patient-reported outcomes in facial plastic surgery to enhance functional recovery and satisfaction metrics. Current work bridges engineering solutions with complex defect reconstruction. Recent publications (2020-2025) demonstrate concentrated expertise in microvascular free tissue transfer, virtual surgical planning for craniofacial defects, and innovative skull base/orbital reconstruction techniques. His work consistently addresses oncologic safety while improving functional outcomes in head and neck cancer patients, with increasing emphasis on cost-effective surgical training methodologies. Robert Joynt Kindness Award 2021 Leslie Bernstein Resident Research Grant: Optimizing bone allograft in craniofacial defect reconstruction Wallace K. Dyer Clinical Investigation Grant: Cost-effective surgeon POV video in otolaryngology training Dr. Wang secures competitive funding from the American Academy of Facial Plastic and Reconstructive Surgery to advance surgical education and reconstruction techniques. His clinical mentorship emphasizes multidisciplinary collaboration, particularly in head and neck oncology cases where tumor resection requires immediate reconstruction. Current projects integrate virtual planning with intraoperative navigation to optimize complex defect repair. He operates within the Facial Plastic and Reconstructive Surgery division at the University of Rochester, collaborating with Wilmot Cancer Institute's head and neck oncology team. His practice incorporates virtual surgical planning technology and microvascular reconstruction expertise, with active participation in multidisciplinary tumor boards for complex craniofacial cases.

Sam Allenمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sports Science
• Exercise Physiology
• +۳ مورد دیگر

Sam Allen is a Senior Lecturer in Sports Biomechanics at Loughborough University's School of Sport, Exercise, and Health Sciences. He is affiliated with the National Centre for Sport and Exercise Medicine (NCSEM) and specializes in biomechanical research related to sports performance and injury prevention. His academic journey includes a BSc from the University of Birmingham (2000), an MSc from Loughborough (2004), and a PhD in triple jump simulation (2009). Education: BSc Sport and Exercise Sciences, University of Birmingham, 2000 MSc Sports Biomechanics, Loughborough University, 2004 PhD in Computer Simulation of Triple Jump, Loughborough University, 2009 Research focuses on biomechanics of running, sprinting, and jumping, with an emphasis on injury mechanisms, muscle morphology, and performance optimization. Notable areas include sex differences in biomechanics, hamstring injury prevention, and neuromechanical adaptations during exercise. Publications highlight advanced topics like machine learning for injury prediction, force-velocity relationships in sprinting, and biomechanical modeling of prosthetic limbs. His work bridges theoretical simulations and practical athletic performance improvements. No scientific awards are explicitly mentioned. Advising and grants sections remain unreported in the provided text. He is associated with the Lifestyle for Health and Wellbeing and Sport Performance research groups. Labs/teams: Active contributor to NCSEM and biomechanics research teams at Loughborough University.

Luminița-Maria BRENCIمشاهده پروفایل

دانشیار

• Innovative Materials
• Lignocellulosic Panels
• Thermal Insulation
• +۳ مورد دیگر

Luminița-Maria BRENCI is an Associate Professor at the Department of Wood Processing and Design of Wood Products, Faculty of Furniture Design and Wood Engineering, Technical University of Brasov (UNITBV). Her research focuses on innovative materials, lignocellulosic panels, thermal/acoustic insulation, and wood surface quality. She is affiliated with the university's address: St. Universității, No 1, Braşov, Romania, located in Building L, Room LIII6. Contact details include phone number 0372 910037 and email brenlu@unitbv.ro. Her research interests emphasize advanced materials and processes for sustainable wood-based products, including eco-composites and waste utilization. Recent studies include thermal conductivity analysis of wood-ABS composites, surface quality of beech milling, and cultural heritage-inspired furniture design through CNC routing. Publications span 2014–2024, covering topics like particleboard optimization from sunflower seed husks and eco-composites for building insulation. No scientific awards are explicitly listed, but her work aligns with environmental and materials engineering advancements. Advising and grants details are not provided in the text. She contributes to the university’s interdisciplinary research in wood engineering and sustainable design.

• Computational stochastic mechanics
• Machine learning in engineering
• Engineering safety assessment
• +۷ مورد دیگر

Dr Dee Wu serves as a Senior Lecturer at the School of Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in the integration of computational mechanics, machine learning, and engineering design. With a strong research profile focused on structural reliability and safety assessment, Dr Wu develops innovative frameworks that bridge theoretical mechanics with practical engineering applications, particularly in the realm of composite materials and uncertain structural behavior. Dr Wu's research interests center on computational stochastic and non-stochastic mechanics, with particular emphasis on machine-learning-aided engineering safety assessment, nondeterministic methods for isogeometric analysis with polymorphic uncertainties, and AI techniques for composite material design. Their work addresses critical challenges in structural engineering where uncertainty quantification becomes essential for safety evaluation. The research output reveals a clear trajectory toward developing virtual modeling techniques that significantly enhance computational efficiency while maintaining accuracy in structural analysis. Dr Wu's publications demonstrate expertise in phase-field methods, support vector regression variants (including Extended SVR, Capped SVR, and Twin SVR), and uncertainty quantification frameworks that handle both aleatoric and epistemic uncertainties. These techniques have been successfully applied to fracture mechanics, buckling analysis, vibration analysis, and impact assessment problems. Dr Wu actively pursues funded research in three main areas: Digital twin applications in Civil Engineering, Machine learning aided engineering analysis and design, and Safety assessment for Smart City initiatives. Currently, they are a key participant in the ARC Discovery Project 'Assessment of Dynamic Pile Driving Using Machine Learning' (DP230102781), running from June 2023 to May 2026, working alongside researchers Khabbaz M, Fatahi B, and Zhang X. In teaching, Dr Wu delivers courses including Introduction to Civil and Environmental Engineering (48310), Advanced Engineering Computing (48371), and Finite Element Analysis (49047), demonstrating commitment to both foundational and advanced engineering education. Their ORCID identifier is 0000-0002-7284-5024, and they maintain an active Google Scholar profile reflecting their substantial research contributions in computational structural engineering.

Pascal Sasdrichمشاهده پروفایل

پژوهشگر

• Hardware Security
• Secure Processor Design
• Computer-Aided Security
• +۳ مورد دیگر

Pascal Sasdrich is a Researcher at Ruhr University Bochum, Germany, affiliated with the Faculty of Computer Science and the Security Engineering department. He holds a PhD in IT-Security/Information Technology from the same university (2018), following M.Sc. (2015) and B.Sc. (2012) degrees in the same field. His research focuses on Hardware Security, Secure Processor Design, Computer-Aided Security, and Security by Design. He has extensive experience in cryptographic hardware implementations, including countermeasures against side-channel and fault attacks. Teaching includes courses on Processor Security and Implementation of Cryptographic Schemes. His work bridges theoretical security models with practical hardware implementations, emphasizing automated tools and formal verification for secure embedded systems. Key projects include contributions to Project HEP (open-source hardware security chip design) and development of methodologies like EASIMASK for automated masking in hardware. Publications span cryptographic hardware implementations, fault and side-channel countermeasures, and formal security verification. Notable works include combined threshold implementations, secure processor extensions, and automated generation of masked hardware circuits. Current research emphasizes securing embedded systems through holistic design approaches, including ISA extensions and automated EDA tools.

Andrea Argüellesمشاهده پروفایل

دانشیار

• Ultrasonics
• Additive Manufacturing
• Materials Characterization
• +۵ مورد دیگر

Andrea Argüelles is an Associate Professor in the Department of Engineering Science and Mechanics at Pennsylvania State University (Penn State), part of the College of Engineering. She holds affiliate researcher roles in the IEE Research Themes focusing on Health and the Environment, and Integrated Energy Systems. Her work bridges materials science and mechanical engineering, emphasizing non-destructive evaluation (NDE) techniques like ultrasonics for characterizing additive-manufactured materials and polycrystalline structures. In 2024, she received the NSF CAREER Award for her research contributions. Her research interests include ultrasonic testing of composites and metals, additive manufacturing process-structure-property relationships, and computational modeling of wave propagation in complex materials. Notable projects involve improving inspectability of 3D-printed parts, cryogenic ultrasonic testing of ice matrix composites, and analyzing defects in silicon wafers. She collaborates widely, with recent work published in journals like Communications Materials , Journal of Applied Physics , and Finite Elements in Analysis and Design . Key Themes: Polycrystalline materials, binder jetting, acoustic holography, defect detection. Awards: NSF CAREER Award (2024). Dr. Argüelles is actively involved in engineering education, contributing to initiatives like the ASEM seminar series for doctoral career development. Her research group addresses challenges in materials characterization, with applications in aerospace, energy systems, and semiconductor manufacturing.

• Computer Graphics
• Human-Computer Interaction
• Robotics
• +۳ مورد دیگر

Dr. Daniel Berio is a researcher at Goldsmiths, University of London, specializing in computational models for human-like movement in digital art and robotics. His work bridges computer graphics, cognitive psychology, and robotic manipulation, focusing on stylized stroke generation, graffiti analysis, and kinematic modeling. He collaborates with Frederic Fol Leymarie and Rejean Plamondon, utilizing the Sigma Lognormal model to simulate human handwriting dynamics. Education : Doctoral thesis on AutoGraff (2021), exploring computational understanding of graffiti and calligraphy. Research Themes : Human-like motion in digital art, kinematic reconstruction from static traces, robotic graffiti generation, and perceptual fluency in aesthetic evaluation. Publications : 15+ works since 2015, spanning ACM Transactions on Graphics, British Journal of Psychology, and conferences like MOCO and IROS. Applications : Font stylization tools, synthetic graffiti generation, compliant robot control, and semantic typography systems.

Rodney Waschka IIمشاهده پروفایل

استاد

• Music Composition
• Algorithmic Composition
• Electronic Music
• +۳ مورد دیگر

Rodney Waschka II is a Professor and Director of Arts Studies at North Carolina State University's College of Humanities and Social Sciences. He also directs the Arts NOW Series, presenting contemporary arts events. His expertise spans music composition, algorithmic processes, and electronic music. Waschka's works are globally recognized, with recordings across international labels. His operas like Saint Ambrose and Sappho's Breath showcase interdisciplinary collaboration. Recent works include A Note for Joe Alexander (2024) and In Memoria di Linda Garzoli Cardosi (premiering 2025). His research explores genetic algorithms in music composition and dynamical systems as compositional tools. Education: Doctor of Musical Arts in Computer Music/Media from the University of North Texas. Awards and recognitions include features in Computer Music Journal , Musical Opinion , and international festivals. He actively commissions new works and has performed across Europe, North America, and Australia. The Arts NOW Series, under his leadership, connects contemporary art forms with academic disciplines like mathematics, politics, and climate science. Notable collaborations include the Aizuri Quartet and filmmaker projects like Boris Karloff: The Man Behind the Monster (2022).

Albert E. Pattersonمشاهده پروفایل

استادیار

• Mechanical Design and Design Methods
• Experimental Fracture and Impact Mechanics
• Additive Manufacturing Processes
• +۳ مورد دیگر

Albert E. Patterson is an Assistant Professor in the Department of Engineering Technology and Industrial Distribution at Texas A&M University's College of Engineering. He is also affiliated with Materials Science & Engineering, Mechanical Engineering, and Multidisciplinary Engineering. His research focuses on mechanical design methods, additive manufacturing processes, and fracture mechanics. He holds a Ph.D. in Industrial Engineering from the University of Illinois at Urbana-Champaign (2021), an M.S. in Industrial Engineering (2014), and a B.S. in Mechanical Engineering (2013), both from the University of Alabama in Huntsville. Key research areas include design under manufacturability constraints, additive manufacturing (e.g., FDM/FFF, SLS, SLM), and systems engineering for manufacturing and aerospace applications. His work emphasizes optimizing material properties, process-driven constraints, and sustainable manufacturing practices. Dr. Patterson leads the Manufacturability-Driven Design Lab (MDDL), exploring topics like additive manufacturing for energetic materials, repair strategies for plastic components, and energy-efficient production systems. He has contributed to over 60 publications on fracture mechanics, material characterization, and manufacturing systems optimization. His research integrates experimental methods with computational modeling to address challenges in design, manufacturability, and sustainability.