جست‌وجوی استاد و پژوهشگر

• Optimization and Optimal Control of PDEs
• Nonsmooth Optimization in Function Spaces
• Inverse Problems and Mathematical Imaging
• +۶ مورد دیگر

Karl Kunisch is University Professor at the Department of Mathematics and Scientific Computing, University of Graz , and simultaneously Scientific Director of the Radon Institute (RICAM) of the Austrian Academy of Sciences in Linz. A SIAM Fellow and recipient of the 2021 W.T. and Idalia Reid Prize, he leads the ERC Advanced Grant OCLOC and heads the research group “Optimization and Optimal Control”. Education: Dipl.-Ing. (1975), Dr. techn. (1978) and Habilitation (1980), Graz University of Technology Research Interests: His work centres on optimization and optimal control of partial differential equations , nonsmooth optimisation in function spaces , inverse problems and mathematical imaging , together with advanced numerical analysis . Current emphases are life-science applications , closed-loop control and machine-learning based feedback design. Publications Profile: With over 400 papers and two monographs, his recent output is dominated by high-impact studies on infinite-horizon optimal control , feedback stabilisation of semilinear parabolic and Navier–Stokes systems, risk-averse and data-driven control , and sparse control strategies . A clear trend is the fusion of rigorous PDE analysis with cutting-edge machine-learning techniques. Scientific Awards & Distinctions: W.T. and Idalia Reid Prize (2021) SIAM Fellow (2017) ERC Advanced Grant Horizon 2020 (2015) Alwin Walther Medaille (2008) ICM Invited Lecture, Hyderabad (2010) SIAM Outstanding Paper Prize (2006) Christian Doppler Laboratory Fellowship (1992) Fellowship of the Japanese Society for the Promotion of Science (1990) Max Kade Scholarship (1982/83) Fulbright Travel Grants (1979/80, 1985) Theodor-Körner-Fonds Research Award (1979) Pro Scienta Scholarship (1974–1977) Grants & Leadership: Principal Investigator, ERC Advanced Grant “ OCLOC – From Open to Closed Loop Control ” Scientific Director, Radon Institute (RICAM), Austrian Academy of Sciences Head of Research Group “Optimization and Optimal Control”, RICAM Co-Speaker, International Research Training Group IGDK Former member/consultant: MATHEON Scientific Advisory Board, Weierstrass Institute Scientific Advisory Board, Christian Doppler Forschungsgesellschaft Senate, DFG and INRIA evaluation boards Laboratory & Team: Prof. Kunisch currently leads the “Optimization and Optimal Control” group at RICAM, comprising post-docs, doctoral researchers and international visitors, focusing on interdisciplinary projects at the interface of PDE control, numerical optimisation and life sciences.

• Wireless Communications
• Mathematics
• Artificial Intelligence
• +۵ مورد دیگر

Keivan Navaie is a Professor of Intelligent Networks at Lancaster University’s School of Computing and Communications. He serves as a member of the Independent Scientific Advisory Committee at the Alan Turing Institute, overseeing the £100 million BridgeAI programme, and previously as Principal AI Technology Advisor to the UK Information Commissioner’s Office (ICO). He is recognized with Fellowships from the Institution of Engineering and Technology (IET), Chartered Engineer status in the UK, Senior Fellowship of the Higher Education Academy (HEA), and the IEEE Young Investigator Award. Research Focus: Wireless communications, mathematics, artificial intelligence, 6G networks, blockchain technology, edge computing, cognitive radio networks, and non-orthogonal multiple access (NOMA). Supervision: Actively supervises PhD students in areas like wireless communications and mathematical modeling. Projects: Involved in distributed learning, blockchain integration, 6G research, and spectrum sharing systems. Awards: IEEE Young Investigator Award, Fellow of IET, Chartered Engineer, Senior Fellow of HEA.

• Task-Oriented Knowledge Acquisition
• Online Learning and Control
• Human-Robot Interaction
• +۴ مورد دیگر

Mahsa Ghasemi is an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering, Purdue University, located in West Lafayette. She holds a B.Sc. in Mechanical Engineering from Sharif University of Technology (2014), an M.S.E. in Mechanical Engineering from The University of Texas at Austin (2017), and a Ph.D. in Electrical and Computer Engineering from The University of Texas at Austin (2021). Her research focuses on task-oriented knowledge acquisition, online learning and control, human-robot interaction, trustworthy AI, and socially beneficial autonomy. She is affiliated with the Materials and Electrical Engineering Building at Purdue. Education: B.Sc., Mechanical Engineering, Sharif University of Technology (2014) M.S.E., Mechanical Engineering, UT Austin (2017) Ph.D., Electrical and Computer Engineering, UT Austin (2021) Her research interests span interdisciplinary areas including reinforcement learning, causal inference, control systems, and human-autonomy collaboration. Recent work emphasizes resilient cyber-physical systems, privacy-preserving multi-agent learning, and causal discovery in decision-making frameworks. Her articles address challenges in sensor selection, no-regret learning in bandits, and formal methods for autonomous systems. Publications highlight contributions to submodular optimization in hypothesis testing, robust sensor scheduling in intrusion detection, and adaptive experimental design for causal discovery. Her work bridges theoretical foundations with practical applications in robotics, cybersecurity, and AI ethics. No scientific awards or grants are explicitly listed in the provided data. She advises no listed students but collaborates on projects involving diverse planning and decision-making in constrained environments.

• Bio-inspired Design
• Additive Manufacturing
• In-Space Manufacturing
• +۴ مورد دیگر

Salil Bapat is a Research Scientist at Purdue University's Department of Mechanical Engineering, located at the West Lafayette campus. His research focuses on bio-inspired design, additive manufacturing, in-space manufacturing systems, and frugal engineering strategies for resilient supply chains. He explores applications in robotics, materials science, and socially conscious technologies to address challenges in space exploration and resource-limited environments. His work includes developing bio-inspired end effectors for in-space servicing, advancing lightweight materials through biomimicry, and creating innovative solutions for food insecurity via 3D printing. He also investigates the intersection of biology and engineering for sustainable product innovations, such as adaptive supply chains and resource-efficient manufacturing processes. Key themes in his recent articles include ISAM (In-Space Servicing, Assembly, and Manufacturing) robotic systems, digital twins for space applications, and the use of AI in additive manufacturing quality control. His research bridges biological principles with engineering to create resilient, cost-effective, and socially impactful technologies.

• Computational Neuroscience
• Cognitive Psychology
• Neural Circuits
• +۳ مورد دیگر

Jill O'Reilly is a Professor of Psychology at the University of Oxford and an MRC Career Development Fellow. She leads a research group focused on computational models linking behavior, thought, and brain function. Her work investigates how psychological processes can be redefined in terms of computational mechanisms and localized to specific neural circuits. She is affiliated with the Wellcome Centre for Integrative Neuroimaging and serves as a Psychology Tutor at Lady Margaret Hall (LMH), Oxford. Her research explores the neural basis of decision-making under threat, curiosity-driven learning, and the representation of cognitive processes in brain structures like the parietal cortex and prefrontal regions. Key themes include understanding how emotions and individual differences influence foraging strategies, memory consolidation during rest, and the neurocomputational dynamics of social interactions. Affiliations : Department of Psychology, University of Oxford; Wellcome Centre for Integrative Neuroimaging; LMH Tutor Education : Not explicitly listed in available texts, but her academic role implies advanced training in cognitive neuroscience. Her awards include the prestigious MRC Career Development Fellowship, reflecting her impactful contributions to computational and systems neuroscience. Recent work bridges behavioral studies with neuroimaging to decode how neural circuits underpin adaptive behaviors in complex environments. Labs/Teams : O'Reilly Lab (see website ), collaborating on projects at the intersection of computation and neurobiology.

Leonardo Duenas-Osorioمشاهده پروفایل

استاد

• Infrastructure Resilience
• Quantum Computing Applications
• Network Reliability
• +۷ مورد دیگر

Leonardo Duenas-Osorio is a Professor of Civil and Environmental Engineering at Rice University, affiliated with the George R. Brown School of Engineering. He holds a Ph.D. from Georgia Institute of Technology (2005) and advanced degrees from MIT and Colombian universities. His research focuses on computational methods for infrastructure resilience, quantum computing applications in engineering, and risk assessment of interdependent systems. Key areas include network reliability, disaster management, and smart grid resilience. He leads the SISRRA research group, collaborating with statisticians, computer scientists, and engineers to address societal challenges. Recognitions include the NSF CAREER Award (2008), IASSAR Early Achievement Award (2017), and the 2020 Society for Risk Analysis Best Paper Award. His work is funded by NSF, DoD, NIST, and city initiatives. Current projects explore quantum algorithms for infrastructure reliability, socio-technical community resilience, and decentralized network restoration strategies. Education: B.S., Universidad de La Salle, 1996 M.S., Universidad de Los Andes, 1998 Professional Masters, Pontificia Universidad Javeriana, 2000 M.Eng., MIT, 2001 Ph.D., Georgia Tech, 2005 Research interests span infrastructure resilience quantification, quantum-classical optimization, and risk analysis of lifeline systems. He serves as Associate Editor for Natural Hazards Review and Structural Safety , and actively participates in ASCE committees. His group emphasizes interdisciplinary collaboration, addressing urban water security, hurricane risk economics, and topology optimization of critical networks.

Joseph Millerمشاهده پروفایل

عضو هیئت علمی

• Neurology
• Neurodegenerative Diseases
• Medical Imaging
• +۷ مورد دیگر

Joseph Miller is an Assistant Teaching Professor in the Department of Mathematics at The Pennsylvania State University, part of the Eberly College of Science. His office is located in 422 McAllister Building, and he can be reached at jlm145@psu.edu . While his academic appointment is in Mathematics, his research interests and publications focus prominently on neurological disorders, particularly Parkinson’s disease and related neurodegenerative conditions. His work spans interdisciplinary areas such as neuroimaging, vascular risk factors in neurodegenerative diseases, and the impact of pharmacological interventions on cognitive and motor functions. Recent studies include investigations into dopamine replacement therapy effects, dysautonomia in Parkinson’s, and the role of exercise in cognitive health. He has also contributed to epidemiological analyses of vascular risk factors and their association with Parkinson’s disease-dementia. Miller’s publications reflect a strong emphasis on translational research, bridging clinical neurology with diagnostic advancements. He has explored biomarkers like synuclein seed amplification in cerebrospinal fluid and collaborated on studies involving magnetic resonance imaging (MRI) markers for movement disorders. His research also addresses neuropsychiatric comorbidities, such as impulse control disorders linked to antidepressant use in Parkinson’s patients. No scientific awards or grants are explicitly mentioned in the provided materials. He currently has no listed advisees or students.

Zahra Nili Ahmadabadiمشاهده پروفایل

استادیار

• Control Systems
• Robotics
• Nonlinear Dynamics
• +۷ مورد دیگر

Dr. Zahra Nili Ahmadabadi is an Assistant Professor in the Department of Mechanical Engineering at San Diego State University (SDSU), affiliated with the College of Engineering. She leads the DSIM Lab (http://dsimlab.com/), focusing on cutting-edge research in control systems, robotics, and nonlinear dynamics. Her work integrates advanced methodologies like neural networks, sensor fusion, and chaotic systems to address challenges in autonomous navigation, vibration control, and aerospace engineering. Her research interests span Control Systems , Robotics , and Nonlinear Dynamics , with emphasis on applications such as autonomous terrain exploration, energy harvesting, and predictive modeling of mechanical systems. Recent studies highlight contributions to extremum seeking control, chaotic path planning, and vibration analysis in aerospace and industrial contexts. Publications reflect a strong focus on interdisciplinary solutions, blending theoretical insights with practical implementations in robotics, aerospace, and mechanical systems. While no scientific awards are explicitly listed, her prolific output and innovative approaches underscore her academic impact. Advising and grant activities are not detailed in available texts, though her lab’s active research indicates sustained engagement with academic and industry collaborators.

Tom Maden-Wilkinsonمشاهده پروفایل

پژوهشگر ارشد

• Skeletal Muscle Physiology
• Musculoskeletal Health
• Aging and Gerontology
• +۳ مورد دیگر

Dr. Tom Maden-Wilkinson is a Senior Research Fellow at Sheffield Hallam University, affiliated with the School of Sport and Physical Activity and the Health Research Institute. His work bridges skeletal muscle physiology research between elite sports performance and clinical musculoskeletal health, focusing on muscle strength, function, and resilience. He collaborates with organizations such as Sheffield Teaching Hospitals, Canon Medical Systems, and the Chartered Society of Physiotherapy. His research has two key strands: Clinical Musculoskeletal Health: Promoting resistance training in older adults and those with long-term conditions (e.g., Stroke, Arthritis, Long COVID). Co-creator of the Strength4Life community program, addressing gaps in strength training for over-55s and improving practitioner knowledge. Active in national falls prevention initiatives. Elite Sport: Investigates muscle architecture, injury risk (e.g., hamstring strains), and performance optimization using imaging techniques like MRI, pQCT, and ultrasound. Collaborates with elite sports organizations such as British Cycling, Lawn Tennis Association, and the Royal Dutch Cycling Federation. Teaching includes modules on Exercise and Health, Physiology for Sports Performance, and Research Projects across undergraduate and postgraduate courses in Sport and Exercise Science. He supervises PhD students in muscle physiology, aging, and long-term conditions. Current projects include developing rehabilitation protocols for Long COVID patients and stroke survivors using Canon Medical Systems’ ultrasound technology. He also leads initiatives to improve physical activity during lockdowns and co-founded the Virtual Clinic for Long COVID in underserved communities.

Simon Rabinovitchمشاهده پروفایل

استاد

• Jewish History
• European History
• Russian History
• +۳ مورد دیگر

Simon Rabinovitch serves as the Stotsky Professor of Jewish Historical and Cultural Studies in Northeastern University's Department of History within the College of Social Sciences and Humanities, with additional affiliation to the Jewish Studies Program. His scholarship bridges Jewish, European, Russian, and legal history through examinations of nationalism, autonomy, and religious freedom across imperial and revolutionary contexts. His educational foundation includes a PhD from Brandeis University, establishing his expertise in historical methodologies and interdisciplinary research approaches central to his academic career. Rabinovitch's research investigates the complex interplay between Jewish identity formation and state sovereignty, particularly through historical case studies of diaspora communities. His publications analyze legal frameworks governing religious freedom, nationalist movements within Jewish communities, and comparative studies of minority rights across empires. Current work expands into digital humanities, creating accessible public archives that document Jewish migration patterns and community histories. His scholarly output demonstrates consistent engagement with contemporary debates about Jewish identity, religious tolerance, and state-minority relations, blending rigorous historical analysis with accessible public scholarship through platforms like Haaretz and Aeon. Recent publications increasingly integrate digital methodologies to explore historical questions at scale. Recognition for his contributions includes the Choice Outstanding Academic Title award (2015), Israel Institute Faculty Development Grant (2020), and Henry Luce Foundation Fellowship (2017-2018), alongside nominations for the Historia Nova Prize and National Jewish Book Award. Rabinovitch actively mentors students through collaborative digital projects funded by competitive grants including the Northeastern University Tier 1 Research Grant (2021), fostering hands-on research experiences that bridge historical scholarship and technological innovation. He directs two major digital initiatives—the crowdsourced Jewish Migration Archive and Digital History of the Jews of Boston—which function as living laboratories for student researchers while preserving endangered historical materials through community-sourced documentation.

Elaine Shortمشاهده پروفایل

استادیار

• human-robot interaction
• accessibility
• robotics
• +۴ مورد دیگر

Elaine Short is an Assistant Professor in the Department of Computer Science and a secondary appointment in Mechanical Engineering at Tufts University's School of Engineering. She leads the Assistive Agent Behavior and Learning (AABL) Lab, focusing on human-robot interaction, accessibility, and assistive technology. Education: PhD in Computer Science, University of Southern California (2017) MS in Computer Science, University of Southern California (2012) BS in Computer Science, Yale University (2010) Her research applies human-centered design and disability community values to AI/ML development in robotics, emphasizing robust human-robot interaction in natural environments, group/crowd dynamics, and inclusive design for non-normative users. Recent publications highlight trends in human-robot co-creative collaboration, shared control systems, policy modification through imagined actions, and accessibility challenges in robotics. Awards include NSF Graduate Research Fellowship, Google Anita Borg Scholarship, and multiple teaching/research recognitions. Scientific Awards: National Science Foundation Graduate Research Fellowship USC Provost's Fellowship Google Anita Borg Scholarship Viterbi School of Engineering Merit Award WiSE Merit Award Best Research/Teaching Assistant Awards Saybrook College Mary Casner Prize

• Spatial Cognition
• Spatial Language
• Spatial Visualizations
• +۲ مورد دیگر

Holly Taylor is Moses Hunt Professor of Psychology and Professor of Mechanical Engineering at Tufts University. She directs the Spatial Cognition Lab and co-directs the Center for Applied Brain and Cognitive Sciences, focusing on human performance optimization. Her research examines mental representations of spatial information, investigating how navigation strategies are shaped by maps, multimedia sources, and environmental factors. Additional work explores nutritional impacts on cognition and stress effects on spatial decision-making. Recent publications demonstrate innovations in augmented reality navigation systems, spatial visualization for STEM education, and cognitive aspects of wayfinding under time pressure. Articles frequently appear in high-impact journals including Journal of Experimental Psychology and PLOS ONE . Sustained grant funding includes the Applied Brain and Cognitive Science Collaborative Effort with the U.S. Army (2019-2029). She teaches courses on spatial cognition, games psychology, and cognitive psychology.

Hans-Peter Kubisمشاهده پروفایل

مدرس ارشد

• Obesity physiology and psychology
• Exercise adaptation mechanisms
• Autonomic nervous system regulation
• +۷ مورد دیگر

Dr Hans-Peter Kubis is a Senior Lecturer in Sport & Exercise Science at Bangor University's School of Psychology and Sport Science. As director of the Physical Activity and Wellbeing (PAWB) group, he conducts multidisciplinary research integrating physiological, biochemical, and psychological approaches. His work spans obesity mechanisms, obstructive sleep apnoea (OSA) pathophysiology, and exercise behavior economics through collaborations with psychology and pulmonary medicine departments. Habilitation in Physiology (Medical School Hanover) DSc (Biochemistry, University of Hannover) Dipl. Biol. Sci. (University of Göttingen) Research focuses on obesity-related appetite regulation via autonomic nervous system (ANS) balance, OSA treatment mechanisms through weight-loss interventions and effort perception analysis, and chronic fatigue modulation using evaluative conditioning in rheumatoid arthritis patients. His team develops bespoke software linking heart rate with oral reward delivery to study exercise valuation. Recent publications examine muscle architecture in rugby players , respiratory muscle training effects , and stress-craving interactions during pandemic restrictions. Current projects investigate exercise perception paradigms, effort-reward conditioning protocols, and cross-disciplinary collaborations with Ysbyty Gwynedd's pulmonary department.

• Computer Vision
• High Performance Computing
• Data Science
• +۱ مورد دیگر

Kannappan Palaniappan is a Curators' Distinguished Professor in Electrical Engineering and Computer Science at the University of Missouri. His pioneering work spans computer vision, high-performance computing, and biomedical image analysis, with applications from molecular microscopy to satellite remote sensing. Received prestigious honors including NASA Public Service Medal for scientific visualization innovations and National Academies Jefferson Science Fellowship. Research interests include large-scale image analysis, geospatial visualization, biomedical imaging, and parallel computing algorithms. Developed foundational techniques for the Digital Earth visualization system and co-founded NASA's Visualization and Analysis Lab. Publications demonstrate extensive applications across scales from cellular neuroscience to Earth observation. Recent works focus on neural circuit modeling, high-performance computing frameworks, and interdisciplinary applications in neuroscience and geospatial analysis. NASA Public Service Medal National Academies Jefferson Science Fellowship Air Force Summer Faculty Fellowship Boeing Welliver Faculty Fellowship William T. Kemper Teaching Fellowship Secured research funding from NIH, NSF, NASA, and DoD laboratories. Holds patents for moving object detection and camera pose estimation technologies.

• Cognitive Neuroscience
• Neuroimaging
• Emotion Processing
• +۴ مورد دیگر

Svetlana Shinkareva is a Professor in the Department of Psychology at the University of South Carolina, affiliated with the McCausland College of Arts and Sciences. She holds a Ph.D. in quantitative psychology from the University of Illinois at Urbana-Champaign and completed post-doctoral training at Carnegie Mellon University. Her work focuses on understanding the neural mechanisms underlying affective processing and conceptual representation across sensory modalities. Dr. Shinkareva's research investigates how hedonic valence (pleasantness/unpleasantness) is represented in the brain through audiovisual stimuli, as well as how abstract concepts are encoded neurally. Her studies use neuroimaging techniques like fMRI to decode brain activity patterns associated with emotion perception, cross-modal integration, and semantic knowledge. Key areas include evaluating valence processing in naturalistic settings, exploring autism-related neural connectivity differences, and advancing multivariate pattern analysis methods for cognitive neuroscience. Her recent publications (2021–2025) reveal a focus on audiovisual integration, affective valence dynamics, and translational applications of neuroimaging. Notable trends include cross-modal studies of emotional responses, computational modeling of brain representations, and methodological advancements in FMRI decoding. Her work bridges basic cognitive science with clinical applications, such as predictive modeling for stroke patients and understanding neurodevelopmental disorders. While no scientific awards are explicitly listed, her prolific publication record demonstrates sustained impact in cognitive neuroscience. She advises no listed graduate students but collaborates on interdisciplinary projects involving psychology, computer science, and clinical research. Her lab contributes to the SC Psycholinguistic Metabase and explores translational neuroimaging applications in health and behavior.