جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Computational Physics
• Machine Learning
• +۴ مورد دیگر

Anders Malthe-Sørenssen is a Professor at the University of Oslo’s Center for Computing in Science Education within the Faculty of Mathematics and Natural Sciences. His research integrates artificial intelligence (AI) with neuroscience to develop advanced machine learning techniques and study brain-inspired AI systems. He also focuses on computational methods in materials science, particularly in frictional dynamics and nanoscale processes, alongside computational education research to enhance science teaching. Malthe-Sørenssen teaches courses including Fys1120 (Electromagnetics), HON1000 (Interdisciplinary Honors), and Fys4460 (Disordered Systems and Percolation), emphasizing active learning and technology integration. His past industrial experience includes tech startups and large-scale industry-funded projects, leading to patented technologies. His research interests span computational physics, machine learning, neuroscience, and education innovation. Notable projects include studies on neural circuitry, AI robustness, and material fracture mechanics. He has received awards such as the HMK Gold Medal (1999), Nansen Prize (2001), and multiple teaching excellence prizes (2011–2015). Malthe-Sørenssen leads initiatives like the CO2Basalt project for carbon storage and contributes to international collaborations. His work bridges AI, materials science, and education, fostering interdisciplinary innovation.

Niels Taatgenمشاهده پروفایل

استاد

• Cognitive Modeling
• Artificial Intelligence
• Human Behavior
• +۴ مورد دیگر

Niels Taatgen is a Professor of Cognitive Modeling at the University of Groningen , affiliated with the Faculty of Science and Engineering and the Bernoulli Institute . His research focuses on human multitasking , cognitive architectures , mental fatigue , and skill acquisition . He has received significant recognition, including the Teacher of the Year award at the University of Groningen in 2016 and an ERC grant in 2011 for multitasking research. His recent publications span neuroscience , artificial intelligence , and educational technology , with a focus on visuo-motor learning , language modeling , and adaptive working memory . His work often integrates fMRI , cognitive modeling , and spiking neural networks to explain human behavior and improve AI systems. Scientific Awards: Teacher of the Year, University of Groningen (2016) His research group explores multitasking strategies , attentional control , and brain-inspired computing , with applications in medical education , human-computer interaction , and cognitive training .

Patricia A. Vargasمشاهده پروفایل

دانشیار

• Robotics
• Evolutionary Robotics
• Swarm Robotics
• +۷ مورد دیگر

Patricia A. Vargas is an Associate Professor/Reader in Computer Science and Robotics at the School of Mathematical & Computer Sciences, Heriot-Watt University, UK. She is the Founder Director of the Robotics Laboratory and Director of Ethics. Her research focuses on interdisciplinary robotics, including Evolutionary Robotics, Swarm Robotics, Biologically-Inspired Algorithms, Computational Neuroscience, and Neurorobotics. She holds IEEE Senior Member and Fellow of the Higher Education Academy titles. Education: PhD in Robotics, postdoc at the Centre for Computational Neuroscience and Robotics (University of Sussex, UK). She has contributed to over 66 research outputs since 2009, with recent work emphasizing neurorobotics, SLAM systems, and precision robotics. Her research aligns with UN Sustainable Development Goals, particularly in healthcare and industrial innovation. Research interests span from bio-inspired algorithms to human-robot interaction, with notable contributions in Parkinson’s disease modeling and swarm robotics. She co-founded the Edinburgh Centre for Robotics and is an executive member of the IEEE Ro-Man Standing Steering Committee. Awards include the 2017 Spirit of Heriot-Watt Award (Outward Looking). Her work bridges robotics with neuroscience, aiming to advance assistive technologies and ethical robotic systems.

• 2D material based electronic devices
• Wearables
• Semiconductor devices
• +۷ مورد دیگر

Dr. Shideh Kabiri Ameri Abootorabi is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen’s University. She holds a PhD in Electrical Engineering from Tufts University (2015) and completed a postdoctoral fellowship at the University of Texas at Austin (2015–2018). Her research focuses on 2D material-based electronic devices, wearables, bioelectronics, and human-machine interfaces (HMI), with applications in IoT and mobile healthcare. Dr. Ameri has authored over 40 journal articles and received the 2017 Rising Star in EECE award. Her work has been featured in media outlets like BBC, IEEE Spectrum, and Phys.Org. Education: PhD in Electrical Engineering (Tufts University, 2015), Postdoctoral Fellowship (University of Texas, 2015–2018), M.Sc. and B.Sc. in Physics (Solid State), and B.A.S. in Medical Laboratory Science. Research interests include wearable sensors, stretchable electronics, bio-signal processing, and graphene-based sensor systems. Notable contributions include tattoo-assisted optical sensors, hydrogel-based biosensors, and strain-mitigated 2D electronics. Awards: Rising Star in EECE 2017. Office: Walter Light, 601.

Milan Tubaمشاهده پروفایل

استاد

• Nature-inspired optimization algorithms
• Image Processing
• Neural Networks
• +۵ مورد دیگر

Milan Tuba is a Professor of Computer Science and Mathematics at Singidunum University in Belgrade, Serbia. He holds academic roles including former Vice Rector for International Relations at Singidunum University, Head of the Department for Mathematical Sciences at State University of Novi Pazar, and Dean of the Graduate School of Computer Science at John Naisbitt University. His expertise spans multiple institutions, including Vanderbilt University and New York University in the U.S., where he led NSF projects and founded the Microprocessor Lab and VLSI Lab. Education: He earned B.S., M.S., and Ph.D. degrees in Mathematics and Computer Science from the University of Belgrade and New York University. Research Interests: Tuba focuses on nature-inspired optimization algorithms applied to image processing, neural networks, and computer networks. His work integrates metaheuristics with machine learning, addressing challenges in healthcare, energy forecasting, and cloud computing. Recent projects include developing optimized algorithms for medical image analysis, wind energy prediction, and cloud resource scheduling. Scientific Contributions: With over 300 publications (h-index 53), he has authored/co-edited books on topics like target localization and hardware design. His awards include inclusion in Stanford University's top 2% global scientists list (2020–2024). Advising & Leadership: Tuba has mentored dozens of PhD/Master's students across universities in Serbia, Bosnia, and the U.S. He leads research groups and serves on editorial boards for journals and conferences. His labs focus on VLSI design, neural networks, and optimization. Labs/Teams: Founder of Microprocessor Lab and VLSI Lab at U.S. institutions, and currently directs AI-focused research at Singidunum University.

Christian Balkeniusمشاهده پروفایل

استاد

• Cognitive Development
• Computational Models
• Neurophysiology
• +۷ مورد دیگر

Christian Balkenius is a Professor of Cognitive Science at Lund University's Department of Philosophy. His primary affiliation is with the Cognitive Science Department, where he leads research in computational models of cognitive development. He is based at LUX:B452 (Helgonavägen 3, Lund) and manages the Lund University Cognitive Robotics Lab. His work integrates neuroscience, robotics, and computer science to model human-like cognitive processes. Research interests focus on understanding how sensorimotor and emotional development emerge through computational modeling and robotic implementation. Notable projects include the Ikaros framework for brain-inspired robot control and studies on trust dynamics in human-robot interaction. Recent work explores time delays in social robots, haptic perception systems, and ethical aspects of AI governance. Collaborations span international teams working on topics like neurophysiological modeling and humanoid robotics. He supervises 12 documented research projects and contributes to major initiatives such as the WASP-HS program. His lab develops open platforms like the Epi humanoid robot and explores adaptive inhibition mechanisms for energy-efficient systems. Key Projects: WASP-HS, MoMa (Human-Robot Movement Analysis), Trust in Social Artefacts Labs: Lund University Cognitive Robotics Lab Grants: Swedish Foundation for Humanities and Social Sciences, Knut and Alice Wallenberg Foundation

Carmine M. Parianteمشاهده پروفایل

استاد

• Psychiatry
• Neurosciences
• Immunopsychiatry
• +۴ مورد دیگر

Carmine M. Pariante is Professor of Biological Psychiatry at King’s College London (Institute of Psychiatry, Psychology and Neuroscience) and Consultant Perinatal Psychiatrist at South London and Maudsley NHS Trust. With over 450 publications, he leads research on stress and inflammation in mental disorders, serving as Editor-in-Chief of Brain, Behavior, and Immunity and a Clarivate Highly Cited Researcher. Education: PhD in Biological Psychiatry, University of London (2003) MD, Agostino Gemelli University Polyclinic (1990) Research Interests: His work bridges biological psychiatry, immunopsychiatry, and neuroinflammation, focusing on stress-immunity interactions in depression, schizophrenia, and perinatal mental health. Recent trends explore omega-3 fatty acids, TSPO PET imaging, and platform trials for precision psychiatry. Scientific Awards: Curt Richter Award (2003) Anna-Monika Prize (2015) PNIRS Normal Cousins Award (2016) NARSAD Distinguished Investigator (2017) Media Award (2022) Key Projects: He leads initiatives like ASPIRE (stratification of depression by inflammation), SHAPER-PND (singing interventions for postnatal depression), and neuro-COVID studies, funded by Wellcome Trust, NIH, and Rosetrees Trust. His lab also develops digital mental health tools via Inspire the Mind .

Raúl Rojasمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Machine Learning
• +۳ مورد دیگر

Raúl Rojas is a Professor of Artificial Intelligence at the Department of Mathematics and Computer Science, Freie Universität Berlin. He leads research initiatives at the Dahlem Center for Machine Learning and Robotics. His work focuses on robotics, autonomous systems, and AI applications. Notable projects include autonomous cars, robotic bees, and humanoid robots (FU-Fighters). Research Interests : Autonomous Vehicles (2006-2015) Brain-Computer Interfaces Biology-Inspired Robotics Humanoid Robot Design Accessibility Technologies for the Blind Awards : Popular Science Award of FCE Tony-Sale-Award "Hochschullehrer des Jahres 2014" (Teacher of the Year 2014) Labs/Teams : Robotic Model Cars for Teaching FU-Fighters: Autonomous Soccer Robots Zuse Archiv Project (reconstructing historic computers)

Adam Hinesمشاهده پروفایل

پژوهشگر ارشد

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

Dr Adam Hines is a Research Fellow at the QUT Centre for Robotics, affiliated with Queensland University of Technology. He holds a PhD in neuroscience from the Queensland Brain Institute (2023), focusing on synaptic physiology and the effects of general anaesthesia on neuronal communication. His current research bio-inspires visual place recognition methodologies for robotic navigation, leveraging neuroscience principles. Dr Hines collaborates with Dr. Tobias Fischer’s group to bridge biological insights with robotic systems. His work emphasizes interdisciplinary approaches combining neuroscientific understanding with engineering challenges in autonomous navigation. No recent articles or grants are explicitly listed in the provided information.

Shuodao Wangمشاهده پروفایل

دانشیار

• Dynamic mechanical behaviors of soft biological tissues
• 3D stereoimaging for full-field displacement measurements
• Mechanical behaviors of soft and thin web materials
• +۵ مورد دیگر

Shuodao Wang is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University. His research focuses on dynamic mechanical behaviors of soft biological tissues, 3D stereoimaging for displacement measurements, and mechanics of nanomeshed materials. He holds a Ph.D. from Northwestern University (2012) and a B.S. from Tsinghua University (2007). Key research areas include: Biomechanics of soft tissues and hydrogel materials Transparent/stretchable electronic device design Inverse finite element modeling for material characterization Adaptive optoelectronic systems inspired by nature Notable awards include the NSF CAREER Award (2019) and ASME Haythornthwaite Research Grant (2015). He teaches advanced courses in elasticity, composite mechanics, and structural stability. Recent work explores electrochemically triggered transient electronics and neural probe mechanics. Publications span over 20 peer-reviewed articles from 2008-2024, with emphasis on nano/microscale mechanics and biomedical applications. His group develops novel materials for soft robotics, wearable sensors, and medical devices through interdisciplinary approaches combining experimental mechanics, computational modeling, and machine learning.

Reshma Karمشاهده پروفایل

استادیار

• Health Informatics
• Machine Learning
• Data Analysis
• +۳ مورد دیگر

Dr. Reshma Kar is an Assistant Professor at the Data Science Institute, Saint Peter’s University. She holds a Ph.D. in Engineering from Jadavpur University, India, where she previously served as a project fellow, senior project fellow, and guest faculty. Her research focuses on health informatics and machine learning, with applications in healthcare analytics and predictive modeling. Dr. Kar teaches graduate-level courses including Data Analysis and Decision Modeling, Python in Data Science, and Machine Learning. Her professional achievements include a Regional i-Corps Grant from the NSF for diabetes prediction research (2024) and multiple Faculty Research Associate Awards at Saint Peter’s University. Notable research contributions include developing interpretable machine learning algorithms for ICU length-of-stay prediction and analyzing brain signals for motor activity detection. She has also contributed to natural language processing studies, such as classifying social media data related to the pandemic. Dr. Kar has over 20 peer-reviewed publications and actively mentors students in research projects, emphasizing programming and data science methodologies. Her work bridges computational techniques with real-world healthcare challenges, reflecting her commitment to advancing both academic and applied data science.

Thirumalai Venky Venkatesanمشاهده پروفایل

استاد

• Condensed Matter Physics
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Thirumalai Venky Venkatesan is a Professor at the University of Oklahoma , renowned for inventing the pulsed laser deposition (PLD) process and pioneering its use in creating high-quality thin films of complex oxides. His work has transformed global research on oxide heterostructures, spanning applications in superconductors, magneto-resistive materials, ferroelectrics, and bioactive substrates. Recently, he has focused on ultra-low energy memories and brain-like electronics using organic molecular systems. Research Interests : Venkatesan's research bridges condensed matter physics , materials science , and nanotechnology . Key areas include oxide thin films, spintronics, plasmonics, and neuromorphic computing. His work addresses fundamental phenomena like metal-insulator transitions, polaron dynamics, and antiferromagnetic control, with applications in energy-efficient electronics and medical diagnostics. Publications & Trends : Recent articles emphasize molecular memristors , antiferromagnetic skyrmions , and oxide heterostructures for neuromorphic devices . His studies explore breathomics for lung cancer detection and quantum materials for low-energy electronics, reflecting interdisciplinary innovation. Scientific Awards : Distinguished Lectureship Award on the Applications of Physics (2020) Lab & Collaborations : Venkatesan is affiliated with the Center for Quantum Research and Technology , where he leads research on integrated oxide systems and molecular electronics.

Seyedali Mirjaliliمشاهده پروفایل

استاد

• Optimization
• Swarm Intelligence
• Evolutionary Algorithms
• +۶ مورد دیگر

Seyedali Mirjalili is a Professor of Artificial Intelligence and Director of the Centre for Artificial Intelligence Research and Optimization (AIRO) at Torrens University Australia. He holds distinguished professorships at VSB Technical University of Ostrava, Óbuda University, and De La Salle University, and is an adjunct researcher at Griffith University and Yonsei University. His research focuses on optimization algorithms, swarm intelligence, evolutionary computation, and machine learning. Education: PhD in Computer Science (Griffith University, 2016). Research interests include optimization techniques, swarm intelligence algorithms (e.g., Grey Wolf Optimizer, Whale Optimization Algorithm), machine learning applications, and robust optimization frameworks. He has published over 600 papers with an H-index of 110 and is among the most cited researchers in optimization fields globally. Awards include the Pro-Vice Chancellor Research Special Award (2019) and recognition as a top 1% highly cited researcher (since 2019). He serves as an associate editor for journals like Neurocomputing and Applied Soft Computing. Labs/Teams: Leads the AIRO Centre at Torrens University, focusing on AI-driven solutions for complex optimization problems.

• Health Disparities
• Cancer Care
• Health Equity
• +۳ مورد دیگر

Do Lee is a Researcher at the COPPER Center within the Yale School of Medicine at Yale University. She holds a B.S. in Elementary Education from the University of Maryland, College Park, and an MPH in Biostatistics from George Washington University. Her research focuses on addressing racial and socio-economic disparities in cancer care to advance equitable healthcare. She contributes to interdisciplinary efforts in health equity, biostatistics, and public health, leveraging her expertise to improve patient outcomes through data-driven strategies. Affiliated with both the COPPER Center and the Department of Internal Medicine, her work integrates statistical methodologies with clinical and translational research. While no awards are explicitly noted, her contributions to health disparities research reflect a commitment to impactful translational science. Her scholarly publications span neuromorphic computing, artificial synapse electronics, and efficient machine learning techniques, demonstrating a blend of computational innovation and applied health research. Collaborations likely bridge engineering and medical domains to address complex healthcare challenges.

Zahra Bagheriمشاهده پروفایل

پژوهشگر ارشد

• Bio-inspired Robotics
• Neuroengineering
• Computer Vision
• +۳ مورد دیگر

Zahra Bagheri is an Adjunct Research Fellow at the School of Biological Sciences, The University of Western Australia. She holds a PhD in interdisciplinary bio-inspired robotics and completed postdoctoral studies at UWA's neuroecology laboratory under A/Prof. Jan Hemmi. Her research focuses on integrating engineering solutions with biological systems, particularly in bio-inspired robotics, neuroengineering, and visual function analysis. Education: BSc and MSc in Engineering, followed by a PhD in interdisciplinary robotics and a postdoctoral specialization in neuroecology. She combines behavioral studies, neural data, and computational modeling to explore how small-brained animals solve environmental challenges. Key collaborations include work with the UWA Oceans Institute and international researchers. Research interests span bio-inspired robotics, computational modeling of animal vision, and neuroecological adaptations. Her work bridges engineering and biology to develop practical solutions for autonomous systems and sensory systems. Recent studies include deep-sea amphipod vision, fiddler crab sensory processing, and virtual reality systems for ecological experiments. Grants include a Konishi Neuroethology Research Award (2020–2022) for studying decision-making in animals, and a project on deep-sea vision (2022–2023). Media coverage highlights applications of dragonfly vision for driverless cars and bionic eye technology. Labs/Teams: Affiliated with the neuroecology laboratory at UWA and collaborates with interdisciplinary teams in marine biology and robotics.