جست‌وجوی استاد و پژوهشگر

Georgi Stojanovمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Robotics
• Developmental Robotics
• +۴ مورد دیگر

Georgi Stojanov is an Associate Professor at The American University of Paris since Fall 2005, previously serving as associate professor at the Faculty of Electrical Engineering, Sts Cyril and Methodius University in Skopje (2001-2005). He co-founded the Cognitive Robotics Group (2000) and the Institute for Interactivist Studies, actively organizing the bi-annual Interactivist Summer Institute (ISI). His academic credentials include: PhD in Computer Science and Artificial Intelligence (1997), University SS Cyril and Methodius, Skopje MSc in Computer Science (1992), Thesis: 'Recognition and Modeling of Evoked Brain Potentials', University SS Cyril and Methodius, Skopje BS in Electrical Engineering (1988), Faculty of Electrical Engineering, University 'Sts. Cyril and Methodius', Skopje (Computer Science major) Stojanov's research spans Artificial Intelligence with emphases on Cognitive Robotics , Developmental Robotics , and Computational Creativity . His work investigates interactivist theory, metaphor/analogy mechanisms in AI, and embodied cognition frameworks. Key contributions include modeling attention architectures, curiosity-driven robotic systems, and Piagetian-inspired developmental models, consistently bridging cognitive science with practical robotics applications. His focus on perceptual similarity in creative processes represents a significant thread in recent publications. Publication trends (2005-2013) reveal a progression from foundational interactivism theory (2006) toward computational creativity (2010-2013), with sustained exploration of embodied learning through inductive logic programming. His work demonstrates strong interdisciplinary connections between machine learning, cognitive development, and human-computer interaction. He maintains active leadership through program committee roles for AI/robotics conferences and has delivered invited lectures at institutions including Université Montpellier 3, Université Paris-8, and the New Bulgarian University. His 2013 AAAI symposium on Creativity and Cognitive Development highlights ongoing scholarly engagement. Stojanov's collaborative network includes the Cognitive Robotics Group (Skopje), Institute for Interactivist Studies, and international partners at University of Trieste, Université de Versailles-Saint-Quentin-en-Yvelines, and UC San Diego, reflecting his commitment to cross-institutional cognitive systems research.

Nicu N. Gogaمشاهده پروفایل

پژوهشگر

• Computer Simulation
• Molecular Dynamics
• Robotics
• +۵ مورد دیگر

Nicu N. Goga is an external researcher at the University of Groningen's Faculty of Science and Engineering, specializing in computational methods with applications spanning transportation systems, robotics, and renewable energy. His work integrates advanced simulation techniques across multiple engineering disciplines to solve complex real-world problems. Dr. Goga's research demonstrates exceptional interdisciplinary breadth, with core expertise in computer simulation and molecular dynamics. He has pioneered adaptive route optimization solutions for commercial fleets, developed affordable humanoid robotics platforms like Miha, and engineered EEG-based brain-computer interfaces for consumer electronics. His molecular dynamics work focuses on photoelectrochemical water splitting for sustainable hydrogen production, directly contributing to UN Sustainable Development Goals in clean energy and industry innovation. Analysis of his 2021-2025 publications reveals a strategic evolution from fundamental computational chemistry toward applied engineering solutions. While maintaining molecular dynamics as a foundational methodology, his recent work increasingly targets transportation logistics and human-robot interaction, showcasing a deliberate shift toward high-impact applications in commercial and assistive technologies. Affiliated with the Molecular Dynamics research group at Groningen, Dr. Goga operates within a robust collaborative network evidenced by international co-authorship patterns. His technical fingerprint spans computer simulation engineering, model checking, multiscale modeling, and distributed systems architecture, reflecting a versatile computational toolkit applied across diverse problem domains.

Andrew Baxter Reidمشاهده پروفایل

مدرس

• Bio-inspired robotics
• 3D printing technology
• Acoustic sensors
• +۳ مورد دیگر

Andrew Baxter Reid is a Lecturer and Chancellor's Fellow in the Department of Electronic and Electrical Engineering at the University of Strathclyde. Specializing in acoustically powered soft robotics and bio-inspired sensor design, his research focuses on 3D printed structures with integrated piezoactive and conductive layers. Education: Doctor of Engineering (Bio-inspired sound localization) from University of Strathclyde (2016) Current research: Bio-inspired directional transduction, 3D printed sensors/actuators His work combines acoustics , soft robotics , and additive manufacturing to create smart biomedical devices like novel cochlear implants. Recent projects include Ultrasonic Oil Switch Condition Monitoring and BRAINS Strathclyde CDT . Key article themes include: Scorpion-inspired airflow sensors Bio-mimetic hair acoustic sensors Multifunctional 3D printed materials Frequency-specific acoustic detection Scientific recognition includes: 2023 IEEE Sensors Journal Best Paper Runner-Up Actively supervising PhD students in bio-inspired robotics and acoustic engineering research.

John P. Wikswoمشاهده پروفایل

استاد

• Biomagnetism
• Systems Biology
• Microfluidics
• +۶ مورد دیگر

John P. Wikswo is the University Distinguished Professor at Vanderbilt University, holding appointments in Biomedical Engineering, Molecular Physiology & Biophysics, and Physics. He founded the Vanderbilt Institute for Integrative Biosystems Research and Education (VIIBRE) in 2001, which has become a leader in microfluidic organs-on-chips and systems biology tools. B.A. in Physics, University of Virginia (1970) M.S. and Ph.D. in Physics, Stanford University (1973, 1975) For 47 years, he has pioneered biomagnetic measurements in cardiology, including the first detection of magnetic fields from single axons and cardiac virtual electrode effects. His current work focuses on autonomous robot scientists like Genesis, integrating microfluidics with AI for yeast chemostat studies, and microphysiological systems for drug discovery and toxicology. His 250+ publications and 47 patents span biomedical instrumentation , microfabrication , and interdisciplinary education via the SyBBURE program, which has mentored over 400 students. Awards include the 2017 R&D 100 Award and fellowships in seven societies.

Michael Madaryمشاهده پروفایل

دانشیار

• Philosophy of Mind
• Ethics of Emerging Technology
• Philosophy of Perception
• +۲ مورد دیگر

Michael Madary is an Associate Professor and Department Chair in the Department of Philosophy at the University of the Pacific. He holds a PhD in Philosophy from Tulane University (2007), an MA in Philosophy/Cognitive Science from the University of Houston (2003), and a BA in Philosophy from the University of Dallas (1999). Education PhD, Philosophy, Tulane University, 2007 MA, Philosophy / Cognitive Science, University of Houston, 2003 BA, Philosophy, University of Dallas, 1999 Research Interests Madary's research spans the philosophy of mind, ethics of emerging technology, and philosophy of perception using an interdisciplinary approach integrating psychology, neuroscience, and history of philosophy. He co-authored the pioneering Code of Ethics for Virtual Reality (2016), covered by major media including The New Yorker and The Guardian, and authored Visual Phenomenology (MIT Press, 2017). Current work explores technology's impact on human cognition and agency through experiential learning frameworks. Publication Trends His recent publications (2023-2016) reveal sustained focus on virtual reality ethics, illusion of agency in human-computer interaction, and Husserlian phenomenology applied to technology. Key themes include mediated reality, cognitive technology ethics, and perceptual abnormalities, consistently bridging theoretical philosophy with practical technological concerns. Professional Impact Madary co-founded the first VR ethics code with Thomas Metzinger, influencing industry standards and generating international media discourse. His public engagement includes CBC Radio interviews and podcasts like Overthink and 88 Names, addressing virtual reality's societal implications and therapeutic potential.

• Machine Learning
• Optimization
• Explainable AI
• +۱۲ مورد دیگر

Giovanni Iacca is an Associate Professor at the Department of Information Engineering and Computer Science (DISI) of the University of Trento, Italy, where he leads the Distributed Intelligence and Optimization Lab (DIOL). He serves as Coordinator of the Master's Degree in Computer Science and Deputy Director of the Information Engineering and Computer Science Doctoral School. Dr. Iacca has over 15 years of industrial experience in mechatronics and optimization applied to engineering, logistics, and scheduling. Dr. Iacca received his PhD in 2011 from the University of Jyväskylä, Finland, and his MSc in 2006 from the Technical University of Bari, Italy. His academic career includes: 2021-present: Associate Professor, University of Trento 2018-2021: Tenure-track Assistant Professor, University of Trento 2017-2018: Postdoc, RWTH Aachen University, Germany 2013-2016: Postdoc, EPFL and University of Lausanne, Switzerland 2012-2016: Postdoc, INCAS³, The Netherlands Dr. Iacca's research bridges fundamental and applied aspects of artificial intelligence with particular emphasis on evolutionary computation and explainable AI. His work spans machine learning, optimization techniques, distributed systems, and their practical implementations. Recent research directions include federated learning, interpretable reinforcement learning, neural architecture search, and optimization for resource-constrained environments. He teaches courses on Computer Architectures, Introduction to Machine Learning, Bio-Inspired Artificial Intelligence, Optimization Techniques, and AI in Medicine. His publication record demonstrates a strong trend toward developing transparent and efficient AI systems. Recent papers focus on making complex AI models more interpretable while maintaining performance across diverse domains from healthcare to supply chain management. His work on evolutionary approaches to explainable AI has gained significant recognition in the computational intelligence community. Scientific Awards and Editorial Roles EvoApplications Best Paper Award (2017) UKCI AWARENESS Best Paper Award (2012) IEEE CIS Outstanding Student-Paper Award (2011) IEEE Senior Member (2023) Associate Editor, Evolutionary Intelligence (2024) Editorial Board Member, Memetic Computing (2024) Associate Editor, IEEE Transactions on Evolutionary Computation (2023) Dr. Iacca has successfully supervised multiple PhD students including Andrea Ferigo, Hyunho Mo, and Leonardo Lucio Custode. His research is supported by various grants and collaborations with industry partners like MyAv. He serves as chair for PPSN 2026 and has organized workshops including the Workshop on Awareness and Consciousness in Artificial Intelligence (ACAI). As leader of the Distributed Intelligence and Optimization Lab (DIOL), Dr. Iacca oversees a research team working at the intersection of evolutionary computation, machine learning, and distributed systems. The lab focuses on developing novel algorithms that balance computational efficiency with interpretability, with applications spanning from embedded systems to large-scale distributed computing environments. Current projects include interpretable reinforcement learning, federated neuroevolution, and optimization for edge computing.

Praneschen Govenderمشاهده پروفایل

پژوهشگر

• AR/VR in Education and Training
• Learning how to Learn
• AI in Education

Dr. Praneschen Govender is an immersive technologies practitioner and researcher affiliated with Hotelschool The Hague , where he integrates VR/AR into hospitality curricula and manages immersive technology research projects for higher education and private-sector collaborations. Originally from South Africa and based in Amsterdam, he holds a PhD in Psychology from the University of KwaZulu-Natal. His research bridges technology and pedagogy, with active projects focused on digitalizing hotel operations and enhancing employee training. Research Interests: AR/VR in Education and Training : Investigates immersive technologies for improving job readiness in high-turnover hospitality roles. Learning how to Learn : Explores self-directed learning as a critical skill for rapid reskilling amid AI-driven labor market shifts. AI in Education : Develops AI tutors (2D/3D) for personalized, on-demand learning support. His recent publications (2022–2025) demonstrate a consistent focus on disruptive innovation in hospitality , educational technology , and human-robot interactions . Key trends include empirical studies on service robots, systematic reviews of AR/VR pedagogy, and case analyses of digital business models. No awards or supervised students are documented.

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

Mitsuo Kawato is a Researcher at the Advanced Telecommunications Research Institute International , a leading institution focused on interdisciplinary research in technology and cognitive science. His research spans multiple domains, including: Computational neuroscience and brain modeling Machine learning algorithms and artificial intelligence Robotics with applications in human-robot interaction Cognitive science and artificial general intelligence

• Object Recognition
• Computer Vision
• Artificial Intelligence
• +۷ مورد دیگر

Sven Dickinson is a Professor in the Department of Computer Science at the University of Toronto, with a Faculty Affiliate role at the Vector Institute for Artificial Intelligence since 2018. He earned a B.A.Sc in Systems Design Engineering from the University of Waterloo (1983), followed by an M.S. (1988) and Ph.D. (1991) in Computer Science from the University of Maryland. Education : B.A.Sc, Systems Design Engineering, University of Waterloo, 1983 M.S., Computer Science, University of Maryland, 1988 Ph.D., Computer Science, University of Maryland, 1991 His research focuses on generic object recognition, emphasizing shape representation, image abstraction, and feature matching. Dickinson's work bridges human and computer vision, exploring medial axis transforms, shock graphs, and many-to-many feature correspondence for applications in content-based retrieval, robotics, and biomedical imaging. Recent publications highlight geometric disentanglement, symmetric part detection, and contour analysis via deep learning. Scientific Contributions include advancing skeletal abstraction, deformable models, and saliency maps. Collaborative efforts span the University of Maryland, Rutgers, MIT, and the University of Waterloo. He has authored over 100 papers and edited interdisciplinary works like Shape Perception in Human and Computer Vision (Springer, 2013).

Calvin Kuoمشاهده پروفایل

استادیار

• Biomechanics
• Wearable Sensors
• Musculoskeletal Modeling
• +۴ مورد دیگر

Calvin Kuo is an Assistant Professor at the School of Biomedical Engineering , University of British Columbia (UBC), and leads the Human Motion Biomechanics Lab (HuMBL) . His work bridges biomechanical engineering and wearable sensing technologies to address clinical challenges in motion analysis and traumatic brain injury. Research Themes: Biomechanical engineering, Medical devices, Wearable sensing Key Collaborations: Affiliated with UBC's Centre for Aging and SMART (Sensorimotor Assessment & Rehabilitation Training) cluster HuMBL focuses on sensorimotor neurophysiology, musculoskeletal modeling, and wearable sensor validation , with applications in concussion biomechanics and cardiac arrest detection. His lab employs Bayesian filtering and Kalman algorithms to improve high-rate motion measurement accuracy. The lab's recent publications analyze head kinematics, soft tissue artifacts, and real-world locomotion using inertial measurement units (IMUs). This work informs wearable device design, particularly for fall prevention in older adults and sports injury monitoring. As a UBC faculty member, Dr. Kuo supervises MASc and PhD students in interdisciplinary research, emphasizing diverse academic backgrounds. His lab partners with clinical and engineering teams to translate findings into healthcare solutions. Laboratory Affiliations: HuMBL contributes to UBC's Human Interfacing Devices research core, advancing wearable systems for balance deficits and musculoskeletal modeling. The lab actively recruits students for projects involving sensor fusion and biomechanical simulations.

• Developmental Psychology
• Cognitive Development
• Social and Emotional Development
• +۶ مورد دیگر

Gustaf Gredebäck is a Professor at the Department of Psychology , Uppsala University , specializing in Developmental Psychology . His research investigates how infants' and children's cognitive, social, and emotional development is shaped by personal exploration, adverse environments (war, mental health challenges), cultural contexts, and early educational settings. Research Interests: Cognitive development, social cognition, emotional processing, executive functions, and the impact of sociocultural/political contexts on child development Methodologies: Eye tracking, pupillometry, experimental paradigms, and cross-cultural comparisons Key Collaborations: International studies in Bhutan, Syria, and Sweden; partnerships with autism research groups Recent Research Trends: Analysis of urbanization's developmental effects, methodological rigor in infancy research, gaze-following as a social cognition marker, and maternal mental health impacts on refugee children. His 2025 articles explore expertise acquisition through play and cross-cultural gaze stability. Scientific Contributions: Holds a significant grant from the Knut and Alice Wallenberg Foundation (2015) and has developed innovative tools like TimeStudio for behavioral research workflows.

• Robotics
• Human-Robot Interaction
• Motion Prediction
• +۵ مورد دیگر

Emmanuel Dean is a Senior Researcher in the Automation research group at Chalmers University of Technology, School of Electrical Engineering. His work focuses on robotics, human-robot interaction, and assistive technologies. Dean's research interests span multiple areas of robotics and human-computer interaction: Robotics and autonomous navigation systems Human-robot collaboration and interaction Tactile sensing and physical interaction Motion prediction and obstacle avoidance Brain-computer interfaces for robotic control Assistive robotics for physical therapy His recent publications show a strong focus on developing advanced navigation systems for mobile robots that can predict human motion and avoid collisions in dynamic environments. Dean has also made significant contributions to tactile-based interaction methods, particularly for assistive robotics applications in physical therapy contexts. Dean has received research funding for the CRAFT (Collaborative-Robot Assistant for Technicians) project (2021-2023), which focused on developing robotic assistants for industrial technicians. His work demonstrates strong interdisciplinary collaboration, with publications spanning robotics, neuroscience, and rehabilitation engineering.

Bing Wangمشاهده پروفایل

پژوهشگر

• Multi-objective Optimization
• Bilevel Optimization
• Evolutionary Computation
• +۴ مورد دیگر

Dr Bing Wang is a Research Associate at UNSW Canberra under the School of Engineering and Technology . His work focuses on developing advanced optimization algorithms for computationally expensive problems, particularly in multi-objective bilevel optimization and evolutionary computation . He has published extensively on hypervolume-based infill criteria, surrogate modeling, and solution transfer strategies. Current research emphasizes Creating resource-efficient algorithms for bilevel optimization problems Exploiting variable associations to enhance evolutionary algorithm performance Integrating kriging-based methods with classical optimization criteria His publication record spans high-impact venues like Soft Robotics , IEEE Access , and Complex and Intelligent Systems , with a strong focus on applying computational intelligence to real-world engineering and data science challenges. Collaboration networks include researchers like Himanshu Kumar Singh and Tapabrata Ray .

Ramya Balachandranمشاهده پروفایل

استادیار

• Medical Robotics
• Image-Guided Surgery
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Ramya Balachandran is an Assistant Professor at Vanderbilt University Medical Center and a Ramalingaswami Fellow at Indian Institute of Technology Madras . Her work focuses on image-guided otologic surgery and robot-assisted surgical navigation , particularly for cochlear implantation and temporal bone procedures. Education: PhD (2008), MS (2003), and BE (2001) in Computer Science from Vanderbilt University and University of Madras. Her research bridges biomedical engineering and clinical otology , emphasizing precision surgical tools , customized drill guides , and medical imaging validation . Key trends in her publications include robotic mastoidectomy , deep-brain stimulation accuracy , and portable CT scanner applications in surgery. She has received the Ramalingaswami Re-entry Fellowship and contributed to clinical validation studies for percutaneous cochlear implantation. Her laboratory, the Computer-Assisted Otologic Surgery (CAOS) Lab and Medical Engineering and Discovery Lab (MED Lab) , drives innovation in minimally-invasive surgical systems .

Xiaowei Wuمشاهده پروفایل

استادیار

• Statistical Genetics
• Bioinformatics
• Bayesian Statistics
• +۳ مورد دیگر

Xiaowei Wu is an Assistant Professor in the Department of Statistics at Virginia Polytechnic Institute and State University, part of the College of Science. He holds a Ph.D. in Statistics from Rice University (2010), and M.S. and B.S. degrees in Electrical Engineering from Wuhan University, China (2003 and 1997, respectively). His research focuses on statistical genetics, bioinformatics, Bayesian methods, and stochastic population dynamics. Key areas include mutation rate estimation, epigenetic analysis, and computational tools for genomic data. Teaching includes courses like Advanced Statistical Genomics and Probability & Statistics for Electrical Engineers. His work bridges theoretical statistics with applications in genetics, neurology, and environmental health. Notable contributions include developing simulation frameworks (e.g., SimuBP) and methodologies for analyzing genetic and epigenetic data. Current projects address antimicrobial resistance, neurological disorder genetics, and machine learning in clinical prediction. Publications span journals in stochastic analysis, genetics, and bioinformatics, with emphasis on branching processes, mutation dynamics, and genomic variant detection. He collaborates across disciplines to advance quantitative methods in life sciences and healthcare.