جست‌وجوی استاد و پژوهشگر

Alan Kuntzمشاهده پروفایل

استادیار

• Robot Motion Planning
• Autonomous Systems
• Robot Design Optimization
• +۴ مورد دیگر

Alan Kuntz is an Assistant Professor at the University of Utah's Kahlert School of Computing (KSoC) and a core member of the Robotics Center. He leads the interdisciplinary Kuntz Research Lab, focusing on robotics and computational methods with medical applications, particularly in healthcare and surgery. His work spans robot motion planning, autonomous systems, and robot design optimization. Education: Ph.D. in Computer Science from the University of North Carolina at Chapel Hill, with research in the Computational Robotics Research Group. Previously a postdoctoral scholar at Vanderbilt University's Medical Engineering and Discovery Lab. Research interests include surgical robotics, continuum robots, needle steering, and medical device design. Recent projects include autonomous needle navigation, continuum lung staplers, and metamaterial-based robots. His team has published extensively on topics like kinematic modeling, uncertainty quantification, and medical intervention systems. Notable awards include the 2022 IEEE Access Best Video Award for his group's work, and mentoring over 15 students through the University of Utah's Undergraduate Research Opportunities Program. The Kuntz Lab actively collaborates on clinical applications, presenting at top conferences like IROS, Hamlyn Symposium, and ISMR. Labs/Teams: Directs the Kuntz Research Lab, known for its innovative medical robotics projects. The lab's work has been featured in Forbes and other media outlets for breakthroughs like in vivo needle steering demonstrations.

Merve Acer Kalafatمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Robotics
• Control Systems
• +۴ مورد دیگر

Merve Acer Kalafat is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University. She specializes in robotics, control systems, compliant mechanisms, and additive manufacturing, with a focus on sensor integration and advanced material applications. Her research involves origami-inspired mechanisms, tactile sensors, and flexible electronics. Her work spans interdisciplinary areas such as piezoelectric actuators, parallel manipulators, and neural network-based performance analysis. Collaborations include studies on textile-based strain sensors and inkjet-printed flexible electronics. She has supervised 3 ongoing theses and contributed to over 20 publications since 2011. Key research interests include improving manufacturing processes (e.g., FDM parameters), developing foldable robotics systems, and advancing tactile sensing technologies for soft robotics applications.

Peter K. Allenمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Medical Robotics
• +۶ مورد دیگر

Peter K. Allen is a Professor of Computer Science at Columbia University's School of Engineering and Applied Science, with a career spanning over three decades in robotics research. His work focuses on robotic grasping , 3D vision and modeling , and medical robotics , where he has made significant contributions to autonomous manipulation and sensor integration. Current affiliation: Columbia University Robotics Lab Academic rank: Professor Key research areas: Robotics, Computer Vision, Artificial Intelligence Education A.B. in Mathematics-Economics from Brown University M.S. in Computer Science from University of Oregon Ph.D. in Computer Science from University of Pennsylvania (recipient of CBS Foundation Fellowship, Army Research Office Fellowship) Research Interests Allen's research bridges fundamental robotics challenges with applied domains. His work on robotic grasping explores low-dimensional subspaces and semantic task suitability, while 3D vision contributions include illumination coherence and texture registration methods. In medical robotics , he develops surgical imaging tools and BCI-enabled grasping systems. Recent publications show trends in: Deep learning for robotic manipulation (2017-2022) Human-robot interaction through BCI and augmented reality Deformable object manipulation (garments, thin shells) Multi-modal sensing (vision-tactile fusion) Scientific Recognition NSF Presidential Young Investigator Award Best Student Paper Award (2007) for collaborative work Over 30 years of continuous funding from NSF, Army Research Office, and medical grants Teaching and Mentorship He has taught graduate courses in robotics (COMS 4733/6731) since 2010, emphasizing hands-on projects with advanced platforms like Baxter, PR2, and Fetch robots. His lab provides immersive training in: 3D photography Humanoid robotics Autonomous navigation Grasp planning

Sarah Dégallier Rochatمشاهده پروفایل

استاد

• Human-Computer Interaction
• Robotics
• Cobotics
• +۶ مورد دیگر

Prof. Dr. Sarah Dégallier Rochat is Head of the strategic thematic field 'Humane Digital Transformation' at Bern University of Applied Sciences (BFH). She holds a joint appointment as Professor at the School of Engineering and Computer Science and serves as co-leader of the Computer Perception and Virtual Reality Lab (cpvrLab) within the Institute for Human-Centered Engineering. Her educational background includes: Ph.D. in Robotics from École Polytechnique Fédérale de Lausanne (EPFL) Master's in Mathematics from EPFL Teaching Diploma in Mathematics from Haute École Pédagogique de Lausanne Psychology studies at University of Lausanne Her research focuses on human-centered technological development with emphasis on: Designing inclusive human-machine interfaces through participatory approaches Developing upskilling strategies for industrial workforce adaptation Examining how techno-narratives shape societal perceptions of technology Creating collaborative robotic systems for agile manufacturing (Cobotics) Exploring mixed reality interfaces for worker augmentation Her publications demonstrate strong interdisciplinary focus on robotics and human-centered AI, with recent works exploring human augmentation in industry, ethical AI implementation, and participatory robot programming. The trajectory shows increasing emphasis on socio-technical systems and workforce empowerment. Significant awards include: Industry 4.0 Shapers Award (2019) CHIRA Best Paper Award (2023) She leads multiple research projects funded by Innosuisse, SNF, and EU programs, including: CODIMAN (Cobotics and workplace humanization) Agile Robotics for High-Mix Low-Volume Production Upskill at Work (digital literacy initiatives) Augmented workers with mixed reality interfaces As founder of Auto-Mate Robotics, she develops flexible robotic cells for industrial applications. She co-leads the Computer Perception and VR Lab and serves on advisory boards including the Swiss Cobotics Competence Center and EUA Task Force on AI.

Rodrigo Rico Biniمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Exercise Science
• Sports Science
• +۴ مورد دیگر

Rodrigo Rico Bini is a Senior Lecturer at La Trobe University's Rural Health School, where he leads the Discipline of Exercise Science & Physiology and coordinates the Bachelor of Exercise Science program. His research focuses on quantitative analysis of human movement to improve athletic performance and reduce injury risks, specializing in cycling and running biomechanics using motion capture, force measurements, and AI modeling. He holds editorial positions at multiple sports science journals including Journal of Science and Cycling and Sports Biomechanics . His professional affiliations include the Holsworth Biomedical Research Centre and AUT-SPRINZ research institute. Dr. Bini's educational background includes a PhD in Biomechanics from Auckland University of Technology (2009-2011), an MSc from UFRGS Brazil (2006-2008), and a BPhEd from UFRGS (2000-2005). His research demonstrates consistent focus on sports biomechanics applications, with recent work exploring AI-driven motion analysis, equipment ergonomics, and active transportation health impacts. Key thematic trends include technological validation studies (wearables, neural networks), injury prevention strategies, and performance optimization across cycling, running, and occupational activities. Fellow of the International Society of Biomechanics in Sport Mid Career Research Award 2024 - La Trobe Rural Health School Certificate of Excellence in Reviewing: Physical Therapy in Sport AUT Laptop Scholarship First place, II Biofenac Brazilian Award for Exercise Science Dr. Bini supervises graduate students and leads industry collaborations, including an Australia Post-funded project on cycling biomechanics in postal delivery. He directs biomechanics research through the Holsworth Biomedical Research Centre and maintains international partnerships with institutions in New Zealand and Brazil.

Tauhidul Alamمشاهده پروفایل

استادیار

• Artificial Intelligence
• Robotics
• Motion Planning
• +۱ مورد دیگر

Tauhidul Alam serves as Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Louisiana State University Shreveport (LSUS), where he has taught since 2019. His research focuses on advancing autonomous robotic systems through innovations in artificial intelligence and cyber-physical applications. Dr. Alam holds a Ph.D. in Computer Science awarded in 2018. His scholarly work centers on robotics challenges including motion planning for underwater vehicles, multi-robot coordination under resource constraints, and energy-aware autonomous navigation. Key research domains span artificial intelligence, cyber-physical security using blockchain, and persistent monitoring in constrained environments. Analysis of his 14 recent publications reveals a strong emphasis on solving real-world robotics problems in marine and aquatic settings. His work consistently addresses uncertainty handling, multi-agent coordination, and security vulnerabilities, with increasing integration of data-driven methodologies across autonomous systems research. Scientific recognition includes: Best Student Paper Finalist at MTS/IEEE OCEANS Conference (2018) Dr. Alam teaches undergraduate courses including Computer Architecture (CSC 242), Database Systems (CSC 315), and Artificial Intelligence (CSC 465), alongside graduate-level instruction in Programming Languages (CSC 620) and Cloud Computing (CSC 690). Information regarding advised students, research grants, or laboratory affiliations is not specified in available materials.

• Decision Neuroscience
• Neuroeconomics
• Cognitive Neuroscience
• +۶ مورد دیگر

Scott A. Huettel is a Professor in the Department of Psychology and Neuroscience at Duke University, where he also serves as Senior Associate Dean for Research in Trinity College of Arts & Sciences. He holds additional appointments as Professor of Neurobiology and Professor in Psychiatry and Behavioral Sciences. As a Bass Fellow, Huettel leads research in decision neuroscience and neuroeconomics, with affiliations spanning multiple Duke research centers including the Center for Brain Imaging and Analysis, Duke Institute for Brain Sciences, and Center for Cognitive Neuroscience. Huettel's research focuses on the brain mechanisms underlying economic and social decision making. His laboratory uses fMRI to probe brain function, behavioral assays to characterize individual differences, and various physiological methods including eye tracking, pharmacological manipulation, and genetics to link brain and behavior. His work has advanced new analysis methods for fMRI data, including functional connectivity analyses, pattern classification, and combinatoric multivariate approaches. His research spans applications in behavioral economics, consumer decision making, and neuroethics. Huettel's recent publications demonstrate a strong focus on social decision making, risk assessment, and the neural mechanisms of economic choices. His work increasingly integrates computational approaches with traditional neuroimaging to better understand how people process information during decision making. His research has significant implications for understanding financial behavior, health decisions, and social interactions across the lifespan. Education in Neuroimaging Award from the Organization for Human Brain Mapping (2021) 2014 Innovation Award from the Social and Affective Neuroscience Society (2013) Bass Fellow for Excellence in Research and Teaching (2012) Jerry G. and Patricia Crawford Hubbard Professorship at Duke University (2012) Top 5% undergraduate instructor in Arts & Sciences at Duke (2010) Dean's Award for Excellence in Mentoring from Duke University Graduate School (2010) Huettel actively mentors students and has trained numerous postdoctoral and graduate researchers who now lead their own laboratories. He is lead author of the textbook Functional Magnetic Resonance Imaging (3rd edition, 2014) and teaches courses including Fundamentals of Decision Science, Decision Neuroscience, and Neuroethics. His research is supported by multiple grants from NIH and other funding agencies, focusing on mechanisms of social behavior, aging, and neuroimaging technology development. Huettel directs a productive research laboratory that integrates multiple methodologies to investigate decision processes. His team combines fMRI, eye tracking, behavioral testing, and computational modeling to examine how people make economic and social choices. The lab has made significant contributions to understanding how attention, risk, and social context influence decision making across different populations including adolescents, older adults, and clinical populations.

• Cybersecurity
• Machine Learning for Security
• IoT Security
• +۵ مورد دیگر

Dr Raja Akrom is a Senior Lecturer in the Department of Computer Science , School of Natural and Computing Sciences , University of Aberdeen since July 2020. Previously, he held research positions at Royal Holloway, University of London (Post Doctoral Research Assistant), University of Waikato (Research Fellow), and Edinburgh Napier University (Senior Research Fellow). PhD in Information Security from Royal Holloway, University of London MSc in Information Security and Computer Science from Royal Holloway and University of Agriculture, Faisalabad BSc in Mathematics and Physics from University of the Punjab His research focuses on user-centric applied security and privacy architectures , data ownership in heterogeneous computing , security for machine learning , and security in emerging technologies such as blockchain, UAVs/drones, and autonomous vehicles. Key technical interests include smart card security, cryptographic protocols, IoT security, and Trusted Execution Environments. The article list reveals expertise in: edge computing security (DECML 2025), medical AI applications (2024), embedded device ownership (CO-TSM 2024), NFC transaction security (2024), and malware detection with ML (2024). Earlier work explored UAV security , blockchain governance , and smart card protocols . Currently teaching courses in Operating Systems , Secure Software Design , and Enterprise Security Architecture . Supervises postgraduate MSc Cybersecurity program.

Guillermo Gallegoمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Event-based Vision
• +۵ مورد دیگر

Guillermo Gallego is a Professor of Robotic Interactive Perception at the Faculty of Electrical Engineering and Computer Science , Technische Universität Berlin , holding the Einstein Center Digital Future (ECDF) Professorship since 2019. His research bridges robotics , computer vision , and applied mathematics , focusing on optimization methods for interdisciplinary imaging and control problems. Education : PhD in Electrical and Computer Engineering (Georgia Tech, 2011), MS in Mathematics (Georgia Tech, 2009), MS in Electrical Engineering (Georgia Tech, 2007), MS in Mathematical Engineering (Universidad Complutense de Madrid, 2005). Gallego's work explores event-based vision to enhance robot perception through low-latency sensing and real-time 3D reconstruction . He previously held postdoctoral positions at the Institute of Neuroinformatics (University of Zurich/ETH Zurich) and Technical University of Madrid (Marie Curie Experienced Researcher). His interdisciplinary projects span applications in ocean remote sensing , autonomous driving , and space exploration . Key scientific awards include the Fulbright Fellowship (2005-2010) and Marie Curie Experienced Researcher (2011-2014). His recent publications focus on event camera algorithms for optical flow , SLAM , and noise estimation , reflecting his leadership in event-based vision research. Collaborations include institutions like University of Zurich , Georgia Tech , and University of Pennsylvania . Research Grants : Funded through ECDF and Marie Curie programs. Labs : Affiliated with the Einstein Center Digital Future and Institute of Neuroinformatics (Zurich/ETH Zurich).

• Perceptually guided graphics
• Virtual characters and crowds
• Virtual reality
• +۴ مورد دیگر

Cathy Ennis is an Assistant Professor in the Department of Computer Science at Maynooth University, Ireland, specializing in perceptually guided graphics and virtual reality. She is actively involved in research and teaching, with affiliations to the ADAPT Centre and D-REAL SFI Centre for Research Training. Education: BEng in Electronic Engineering, Maynooth University MSc in Cognitive Science, University College Dublin PhD in Computer Graphics, Trinity College Dublin PG Dip in Higher Education Teaching and Learning, DIT Research Interests: Dr. Ennis's research centers on creating realistic virtual humans and crowds, exploring multisensory perception in VR, and applying these technologies in serious games and interactive systems. Her work integrates AI, HCI, and immersive technologies to enhance user engagement and learning. Her recent publications reflect a strong focus on virtual character realism, VR-based education, and machine learning applications in animation and interaction. Notable themes include speech-animation realism, cultural VR experiences, and reinforcement learning for character control. Scientific Awards: Best Paper Award, IEEE VR 2022 Teaching and Supervision: Dr. Ennis currently teaches CS401 (Machine Learning and Neural Networks) and CS261 (Multimedia Technology). She is actively seeking PhD students and collaborators interested in VR, games, and virtual characters, particularly using machine learning for gesture generation and engagement. Labs and Teams: She is a Funded Investigator with the ADAPT Centre and D-REAL SFI Centre for Research Training, contributing to interdisciplinary research in AI, HCI, and immersive technologies.

• Superconductivity
• Mesoscopic Phenomena
• Quantum Electronics
• +۳ مورد دیگر

Prof. Vladimir Krasnov is a leading researcher in Experimental Condensed Matter Physics at Stockholm University , focusing on mesoscopic superconductivity, Josephson junctions, and nanoscale quantum phenomena. He heads the Experimental Condensed Matter Physics Group since 2005. Department: Department of Physics Lab: EKMF Lab (SU-KTH collaboration) Key Methodologies: Pulsed laser deposition, FIB nanofabrication, cryogenic measurements (0.25-300 K), THz spectroscopy Research Themes: His work bridges fundamental superconductivity studies (high-Tc cuprates, iron-pnictides) with applied quantum electronics. Notable contributions include Developing vortex-based cryogenic memory Controllable spin-triplet supercurrents in magnetic junctions THz emission from intrinsic Josephson stacks Quantum phase transitions via electrical doping Magnetic field effects on mesoscopic systems Scientific Trends: Analysis of 15 recent publications reveals strong emphasis on Josephson vortex dynamics, superconducting/ferromagnetic hybrid systems, THz applications, and non-equilibrium phenomena in quantum circuits. Facilities: Utilizes Nano-Fab clean-room for sample engineering and Low-T lab for high-field (17T), cryogenic experiments.

John P. McCormickمشاهده پروفایل

استاد

• Political Thought Renaissance Florence
• Machiavelli Studies
• Continental Political Theory Weimar Germany
• +۴ مورد دیگر

John P. McCormick is a Professor of Political Science at the University of Chicago , renowned for his groundbreaking work in Machiavelli studies , continental political theory , and democratic reform . His scholarship interrogates historical mechanisms for elite accountability and proposes modern institutional adaptations to counteract economic and political inequality . Key research areas: Political thought in Renaissance Florence (Machiavelli & Guicciardini) Weimar Germany and Central European emigre theory Philosophy/sociology of law Normative dimensions of European integration Contemporary democratic theory McCormick's 15 most recent publications focus on Machiavellian institutional design , elite-populace dynamics , and republican governance models , with interdisciplinary extensions into software-based political analysis and medical imaging technology . His work has sparked academic debates about the democratic potential of class conflict and non-electoral representation . Notable scientific endorsements include: Adrian Vermeule (Harvard) praising his institutional design sensitivity David Armitage (Harvard) calling it a radical rethinking of aristocratic democracy Larry Bartels (Princeton) highlighting his republican tradition contributions

Olga Kurasovaمشاهده پروفایل

استاد

• Machine Learning
• Data Visualization
• Cybersecurity
• +۳ مورد دیگر

Dr. Olga Kurasova is a Professor and Senior Researcher at Vilnius University's Institute of Data Science and Digital Technologies, where she leads research in the Cognitive Computing Group. Her work focuses on developing advanced computational methods for real-world applications. Her primary research explores machine learning paradigms including deep learning for cybersecurity (keystroke dynamics, adversarial attacks), medical image analysis (pancreatic cancer detection), industrial monitoring, and explainable AI. She maintains strong collaborations across disciplines, particularly in healthcare and security domains. Analysis of her recent publications (2023-2025) reveals three dominant themes: (1) Advanced biometric authentication systems using behavioral analysis and deep learning, (2) Medical AI applications focusing on pancreatic cancer detection through CT image analysis, and (3) Theoretical advancements in explainable AI methodologies for high-stakes domains. Significant scientific recognition includes: 2021 Lithuanian Science Prize for the cycle 'From Data Science to Artificial Intelligence Technologies' 2024 Vilnius University Rector's Science Prize She has led multiple national research projects, including a 2024-2027 LMT-funded initiative on 'adversarial machine learning for cybersecurity' and coordinated interdisciplinary teams for projects on cognitive computing capabilities and optimal data mining solutions. She directs research within the Cognitive Computing Group, focusing on developing intelligent systems for data analysis, visualization, and decision support across healthcare, cybersecurity, and industrial applications.

Brandon Chalifouxمشاهده پروفایل

استادیار

• Stress-based surface shaping
• Precision engineering
• Ultrafast laser optical material processing
• +۳ مورد دیگر

Brandon Chalifoux serves as an Assistant Professor at The University of Arizona's Wyant College of Optical Sciences and Department of Aerospace and Mechanical Engineering. His research focuses on enabling next-generation space telescopes through precision fabrication, mounting, and alignment of lightweight optical mirrors, with applications spanning astronomy, Earth observation, and space infrastructure development. His educational background includes: Ph.D. in Optical Sciences, Massachusetts Institute of Technology, 2019 M.S. in Optical Sciences, Massachusetts Institute of Technology, 2014 B.S. in Physics, Rice University, 2008 Chalifoux's research centers on stress-based surface shaping, precision engineering, ultrafast laser optical material processing, and astronomical optics. Through the Lightweight Optics Lab, he develops experimental and analytical techniques for manufacturing and aligning thin mirrors, with current projects targeting X-ray mirror metrology, laser stress figuring, and optical assembly methods critical for future high-resolution space telescopes. His recent publications (2023-2025) demonstrate concentrated advancements in ultrafast laser stress figuring (ULSF) for optical surface correction across thin mirrors and X-ray telescope optics. Key themes include material behavior analysis in fused silica and glass, stress generation mechanisms, and novel metrology techniques like axial shift mapping, establishing foundational methodologies for space-based optical systems. Scientific Awards: No awards mentioned in source material Chalifoux has successfully advised graduate students including Dr. Hayden Wisniewski (PhD, 2023), now a metrology engineer at ASML, and Alex St. Peter (Masters, 2023). His lab secures research funding for optical engineering projects with emphasis on space telescope technology, featuring significant collaborations with MIT on stress tensor mesostructures and laser-based figuring techniques. The Lightweight Optics Lab operates at the forefront of space optics research, conducting projects from fundamental laser-material interactions to X-ray mirror segment assembly. Current team efforts focus on ultrafast laser stress figuring for mirror correction and advanced metrology for near-cylindrical surfaces, directly addressing challenges in next-generation astronomical instrumentation and space infrastructure.

Kallol Mondalمشاهده پروفایل

استاد

• Corrosion
• Oxidation
• Metallic glasses
• +۷ مورد دیگر

Professor Kallol Mondal is a distinguished faculty member in the Department of Materials Science and Engineering at the Indian Institute of Technology Kanpur. With a PhD from IIT Kharagpur, he has established himself as an expert in corrosion science, metallic glasses, and advanced steel development. His research focuses on fundamental aspects of material behavior under various environmental conditions, with practical applications in railway infrastructure, high-performance alloys, and nanotechnology. PhD from IIT Kharagpur (2005) Postdoctoral research at NIMS, Japan (2005-2007) Associate Professor at IIT Kanpur (2012-present) Visiting Associate Professor at University of British Columbia, Canada (2013) Professor Mondal's research spans multiple domains of materials science, with particular emphasis on corrosion/oxidation mechanisms, phase transformations, and development of novel metallic alloys. His work combines theoretical thermodynamics with practical applications, resulting in breakthroughs in corrosion-resistant steels, metallic glasses, and nanoporous materials. His laboratory focuses on non-equilibrium processing techniques that enable the creation of materials with exceptional mechanical properties. Analysis of his recent publications reveals a strong focus on corrosion mechanisms in various steel alloys, particularly for railway applications. His work also prominently features research on metallic glasses, nanoporous materials, and advanced ceramic composites. The interdisciplinary nature of his research bridges fundamental materials science with practical engineering applications. P K Kelkar Young Faculty Research Fellowship (2012) Best paper award in CORCON 2010 Best poster award at ADNAN 2013 Recognized among top 20% reviewers for Metallurgical and Materials Transactions A Professor Mondal has successfully mentored numerous PhD and M.Tech students, with research projects spanning corrosion science, metallic glasses, steel development, and nanoporous materials. His Non-equilibrium Processing & Corrosion Laboratory at IIT Kanpur serves as a hub for innovative research in materials degradation and prevention. His collaborations extend internationally, including significant work with researchers at the University of British Columbia.