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Dr. Camila Aquino serves as Assistant Professor in both the Department of Clinical Neurosciences and Department of Community Health Sciences at the University of Calgary's Cumming School of Medicine, and is a Full Member of the Hotchkiss Brain Institute. As Medical Director of the Deep Brain Stimulation Program, she specializes in Parkinson's disease, essential tremor, dystonia, and chorea management, including EMG-guided botulinum toxin injections. Her educational background includes: M.D. in Medicine from Escola Superior de Ciencias da Santa Casa (2005) M.S. in Neurosciences from Federal University of Sao Paulo (2012) Ph.D. in Neurosciences from Federal University of Sao Paulo (2019) M.S. in Health Research Methods, Clinical Epidemiology from McMaster University (2020) Dr. Aquino's research addresses unmet needs in movement disorders through innovative clinical trial designs for Parkinson's disease, focusing on precision-medicine approaches, early intervention, and outcome optimization. She actively evaluates neuromodulation therapies including Deep Brain Stimulation, Spinal Cord Stimulation, and MRgFUS, with emphasis on expanding indications and improving patient outcomes. As an International Parkinson and Movement Disorder Society member, she chairs the web-based learning committee and serves on evidence-based medicine and outcome measure committees. Analysis of her 15 most recent publications (2021-2025) reveals a cohesive research trajectory centered on Parkinson's disease management, with dominant themes in motor fluctuation treatments, deep brain stimulation methodology, and clinical trial innovation. Her work bridges fundamental clinical practice guidelines with advanced neuromodulation technologies, demonstrating consistent commitment to evidence-based solutions for movement disorders. Her scientific recognition includes: Parkinson Canada research grant Mohammed Al Zaibak Foundation scholarship CAPES scholarship from Brazilian Ministry of Education Dr. Aquino has secured significant research funding supporting clinical trials in Parkinson's disease neuroprotection and neuromodulation therapies. While specific student advisees aren't listed, her leadership of the DBS Program and active clinical trial portfolio indicate substantial mentorship responsibilities. Her grant portfolio emphasizes translational research with direct clinical impact. She directs the University of Calgary's Deep Brain Stimulation Program and contributes to the MRI-guided focused ultrasound initiative. Through her International Parkinson and Movement Disorder Society committee roles, she shapes global educational standards and evidence-based practices in movement disorders.

• Movement Disorders
• Parkinson's Disease
• Deep Brain Stimulation
• +5 more

Edward S. Awh is a Professor in the Department of Psychology at the University of Chicago, affiliated with The Institute for Mind and Biology and the Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior. His research focuses on behavioral and neural studies of memory and attention, employing psychophysics, EEG, and functional MRI. His lab investigates neural mechanisms underlying cognitive processes and their interrelationships. Research interests include tracking the contents of online memories and the locus of covert attention using neural decoding techniques. The lab collaborates on projects involving attention and memory studies, as detailed on their website: Awh/Vogel Lab . The lab currently seeks postdoctoral researchers to join ongoing projects using behavioral, EEG, and fMRI methodologies. Contact via awhvogellab@gmail.com .

• Cognitive Neuroscience
• Visual Working Memory
• Selective Attention
• +4 more

Sham Kakade is the Rampell Family Professor of Computer Science and Professor of Statistics at Harvard University, co-director of the Kempner Institute. His research focuses on advancing artificial general intelligence through foundational work in reinforcement learning, large-scale learning systems, and autonomous agent architectures. He earned his PhD in 2003 from the Gatsby Computational Neuroscience Unit at University College London. His work emphasizes scalable optimization algorithms, distributed systems for foundation models, and understanding emergent capabilities in neural architectures. Research interests include full-stack training pipelines for foundation models, mathematical principles of large-scale learning systems, and bridging language models with embodied intelligence. He advises prospective students with backgrounds in applied deep learning or theoretical computer science, offering access to the Kempner Institute's computational resources. He serves on committees for the ACM Prize in Computing and Sloan Research Fellowships, co-organizes the Simons Symposium on Theoretical Machine Learning, and chaired COLT 2011. His lab works at the intersection of theory and practice, addressing challenges in AI's societal impact and technical scalability. Labs/Teams: Co-directs the Kempner Institute, fostering collaborations between AI researchers and social scientists. Active in Harvard's SEAS community.

• Artificial Intelligence
• Machine Learning
• Reinforcement Learning
• +7 more

Maja J Matarić is the Chan Soon-Shiong Chaired and Distinguished Professor of Computer Science at the University of Southern California's Viterbi School of Engineering, with courtesy appointments in Neuroscience and Pediatrics. She serves as founding director of the USC Robotics and Autonomous Systems Center, co-director of the USC Robotics Research Lab, and Principal Scientist at Google DeepMind. Previously, she held leadership roles as USC's interim Vice President of Research (2020-2021) and Vice Dean for Research (2006-2019). Her educational background includes: PhD in Computer Science and Artificial Intelligence from MIT (1994) MS in Computer Science from MIT (1990) BS in Computer Science from University of Kansas (1987) Matarić pioneers Socially Assistive Robotics (SAR) , a field her lab named, focusing on human-robot interaction that provides assistance through social rather than physical support. Her research targets critical health and wellness challenges including post-stroke rehabilitation, autism spectrum disorder therapy, cognitive exercises for Alzheimer's patients, ADHD academic support, and mental health interventions. She develops systems modeling user engagement, personality, and motivation, with extensive real-world deployments in schools, rehabilitation centers, and homes. Analysis of her recent publications reveals dominant themes in cognitive health robotics (2025 CHI paper on LLM-powered elder care), pediatric assistive technology (2025 IDC speech therapy review), and adaptive preference modeling (2025 HRI contrastive learning work). Her research consistently bridges machine learning with human-centered design for vulnerable populations. Major scientific recognition includes: ACM Athena Lecturer Award (2024) ACM Eugene L. Lawler Humanitarian Award (2024) ACM Fellow (2020) Presidential Mentoring Award (2011) Multiple society fellowships (AAAS, IEEE, AAAI) As a dedicated mentor, Matarić has championed underrepresented groups through CRA-W, placing numerous women in faculty positions. She leads USC Viterbi's K-12 STEM Outreach Program serving low-income Los Angeles schools and authored The Robotics Prime for student education. Her research has secured significant funding enabling real-world technology transfer, with documented impact in rehabilitation centers and homes through deployable SAR systems. Her Robotics Research Lab at USC drives innovation in embodied AI, with current projects spanning LLM-integrated elder care robots, ADHD academic companions, and autism therapy systems. The lab emphasizes co-design with end-users and rigorous real-world validation across diverse populations.

• Socially Assistive Robotics
• Human-Robot Interaction
• Assistive Technology
• +7 more

Dr. Keith Alexander Sharkey is a Professor in the Department of Physiology and Pharmacology at the Cumming School of Medicine, University of Calgary. He is also a Full Member of both the Hotchkiss Brain Institute and The Calvin, Phoebe and Joan Snyder Institute for Chronic Diseases. Dr. Sharkey has been at the University of Calgary since his appointment as Assistant Professor in 1990, dedicating his career to understanding the neural control of the gastrointestinal tract. From 2005-2021, he held the Crohn's and Colitis Canada Chair in Inflammatory Bowel Disease Research, demonstrating his longstanding commitment to advancing knowledge in gastrointestinal sciences. Dr. Sharkey's educational journey began with a BSc (Hons) in Nutrition from the University of London in 1981, followed by a PhD in Physiology from the University of Liverpool in 1985. After completing postdoctoral training in Hungary, the UK, and Canada, he joined the University of Calgary faculty in 1990, where he has remained throughout his distinguished academic career. Dr. Sharkey's research program centers on understanding the physiology and pathophysiology of the neural control of the gastrointestinal tract and brain-gut interactions in health and disease. His laboratory investigates two main areas: the role of the endocannabinoid system in regulating GI motility and intestinal barrier function, and the physiology of the enteric nervous system in controlling motility and barrier function. His work employs state-of-the-art approaches including live cell imaging and molecular genetics. Recent publications show his expanding interest in connections between gut function and neurodegenerative conditions like ALS, with multiple 2024-2025 papers examining sexual dimorphism in disease processes and gut-brain axis mechanisms. Fellow, Royal Society of Canada (2024) Cumming School of Medicine's van de Sande Distinguished Achievement Award for Mentorship (2021) Distinguished Research Award, American Physiological Society (2021) Finkelstein Award for Excellence, Crohn's and Colitis Canada (2016) Fellow, Canadian Academy of Health Sciences (2015) Fellow, Canadian Association of Gastroenterology (2015) Killam Annual Professor Award, University of Calgary (2013) Dr. Sharkey has mentored numerous students throughout his career, as evidenced by his 2021 Mentorship Award. His research is supported by significant funding, including a CIHR Foundation grant exploring how enteric nerves and glia maintain intestinal homeostasis. He has also participated in university strategic initiatives focused on Brain and Mental Health (2015-2021) and Infections, Inflammations and Chronic Diseases (2015-2021), demonstrating his interdisciplinary approach. The Sharkey Lab provides a safe, inclusive, and diverse research environment that encourages open scientific exchange from diverse viewpoints. His laboratory is actively engaged in multiple collaborative projects, including investigations with UBC Okanagan on diet and probiotics targeting the gut-brain metabolic interactome, and with University of Calgary colleagues studying gut microbiota's role in ALS. Dr. Sharkey continues to advance our understanding of neural mechanisms controlling gastrointestinal function with upcoming courses scheduled for Fall 2024 and Winter 2025.

• Enteric nervous system
• Gut-brain axis
• Endocannabinoid system
• +3 more

Francesca Stradolini is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Electrical Engineering Doctoral School (EDEE). She holds a PhD in Electrical Engineering from EPFL (2018), with prior education in Bio Engineering and Neuroscience from the University of Genoa (2012, 2015). Her current work focuses on R&D engineering for medical devices, emphasizing system lifecycle management, human factors engineering, and compliance with CE/FDA regulations. As an invited guest, she contributes to usability engineering education and interdisciplinary research at EPFL. PhD: IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery (EPFL, 2018) MSc: Bio Engineering (University of Genoa, 2015) BSc: Bio Engineering (University of Genoa, 2012) Her research spans bioelectronics, IoT-enabled medical monitoring, and electrochemical sensor development for clinical applications. Key areas include anesthesia delivery systems, wearable diagnostics, implantable devices, and human factors engineering. Her work integrates fluidic systems, noble metal nanostructures, and open-source hardware (e.g., Raspberry Pi) to address challenges in traceability, fouling mitigation, and pharmacokinetic modeling. Scientific recognition includes the Ville de Lausanne Award (2019) , EPFL Outstanding PhD Thesis Distinction (2018) , and a Best Paper Award at MOBIHEALTH (2016) . She has published extensively in journals like IEEE TBIOCAS, Sensors and Actuators B, and IEEE Sensors Journal, with collaborative studies on propofol monitoring, carbon nanoallotrope drug detection, and implantable sensor validation. Her technical expertise includes managing medical device development lifecycles, designing IoT architectures for intensive care, and optimizing electrochemical sensors for stability in undiluted biological fluids. She has contributed to conferences such as IEEE BioCAS, ISCAS, and MOBIHEALTH, focusing on translational studies in personalized medicine and 3D-printed medical systems.

• Bioelectronics
• IoT for Medical Monitoring
• Anesthesia Delivery Systems
• +3 more

Gary Fedder is the Howard M. Wilkoff Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), with courtesy appointments in Biomedical Engineering, Mechanical Engineering, and Robotics. He serves as Faculty Director of the Manufacturing Futures Institute (MFI) and previously held roles such as Vice Provost for Research and Interim CEO of the Advanced Robotics for Manufacturing (ARM) Institute. Fedder’s research focuses on MEMS, advanced manufacturing, and implantable microsystems. He earned his B.S., M.S., and Ph.D. in EECS from MIT and UC Berkeley, respectively. Education: Ph.D., Electrical Engineering and Computer Science, UC Berkeley (1994) M.S., Electrical Engineering and Computer Science, MIT (1984) B.S., Electrical Engineering and Computer Science, MIT (1982) Research Interests: Microelectromechanical systems (MEMS), digital twins, aerosol jet printing, stretchable electronics, and manufacturing innovation. His work integrates MEMS with CMOS processes, emphasizing low-cost, high-performance systems. Key Contributions: Co-founded the ARM Institute; developed MEMS-based sensors and actuators; pioneered methods for manufacturing innovation through projects like America Makes. His research spans over 300 publications and 21 patents. Awards: IEEE Fellow (2007), Ross Tucker Award (1993), NSF CAREER Award (1996), and leadership roles in Manufacturing USA initiatives. Leadership & Outreach: Directed the Institute for Complex Engineered Systems and led national initiatives to advance U.S. manufacturing competitiveness. Active in editorial roles for journals like IoP Journal of Micromechanics .

• Microelectromechanical Systems (MEMS)
• Advanced Manufacturing
• Nanomanufacturing
• +6 more

Robert Ghrist is the Andrea Mitchell University Professor at the University of Pennsylvania with dual appointments in the Department of Mathematics and the Department of Electrical and Systems Engineering. He serves as Associate Dean for Undergraduate Education for Penn Engineering. His educational background includes a B.S. in Mechanical Engineering from the University of Toledo (1991), and M.S. and Ph.D. degrees in Applied Mathematics from Cornell University (1994, 1995). Ghrist's research bridges pure and applied mathematics, focusing on applied algebraic topology , dynamical systems , and geometric methods in data science. His work extends to network theory, topological data analysis, and computational geometry, with applications spanning robotics, neuroscience, and social dynamics. Key innovations include developing sheaf-theoretic approaches for networked systems and persistence homology techniques for high-dimensional data. Analysis of his recent publications reveals a strong emphasis on lattice-theoretic frameworks , topological robotics , and network dynamics , with emerging applications in neural data interpretation and geometric computing. His research consistently integrates category theory with real-world engineering challenges. Significant scientific recognition includes: Presidential Early Career Award (PECASE, 2004) Scientific American 'Top 50' Research Leader (2007) Mathematical Association of America's Chauvenet Prize (2013) University of Pennsylvania Lindback Award for Distinguished Teaching (2015) DoD National Security Science and Engineering Faculty Fellowship (NSSEFF, 2015) Ghrist leads multiple federally funded research initiatives supported by AFOSR, DARPA, NSF, and ONR. He directs the development of educational tools including the Calculus BLUE/GREEN Project video series and custom GPTs for mathematical pedagogy. His open online courses have reached over 100,000 learners globally.

• Applied Topology
• Dynamical Systems
• Algebraic Topology
• +5 more

Nicolas Mathevon is a Professor at the University of Saint-Etienne and a Senior Member of the Institut universitaire de France (IUF). His research focuses on bioacoustics and animal communication, spanning from marine mammals to birds. He has held visiting positions at Hunter College (City University of New York) and the University of California, Berkeley. Education Habilitation à diriger les Recherches (2002, University of Saint-Etienne) PhD (1996, University of Lyon 1) Master's Degree (ranked 2nd, University of Lyon 1) Agrégation in Life and Earth Sciences (ranked 8th) Mathevon's research explores how animals use sound for social interactions, mate selection, and environmental adaptation. His work bridges bioacoustics, neuroethology, and behavioral ecology, with a focus on decoding vocal signals' complexity. His publications cover diverse topics including animal soundscapes, vocal memory in seals, and neural encoding of communication calls. The articles highlight interdisciplinary approaches combining neuroscience, behavioral studies, and acoustic signal analysis. Scientific Awards Prose Award for Excellence in Biological and Life Sciences, AAP (2024) Chevalier des Palmes Académiques (2017) IUF Senior Member (2015-present) IUF Junior Member (2005-2010) Mathevon has supervised 17 PhD students, 10 postdocs, and contributed to public outreach through media, documentaries, and public lectures. He leads the International Master of Bioacoustics program and serves as President of the International BioAcoustic Society.

• Biology
• Ethology
• Animal Behavior
• +3 more

Daniel Goldman is a Professor at the School of Physics within the College of Sciences at Georgia Institute of Technology. He directs the Complex Rheology And Biomechanics (CRAB) Lab and leads interdisciplinary research bridging physics, biology, and robotics. His work focuses on locomotion principles in organisms and robots interacting with complex media like granular materials. Research areas include robophysics, biomechanics, and nonequilibrium systems Co-founder of startup Ground Control Robotics Research Trends : His publications emphasize principles of locomotion, interaction with complex substrates (sand, bark, etc.), and robotics applications, using experimental, computational, and robophysical modeling approaches. Scientific Awards Dunn Family Professor (2017-2023) APS Fellow (2014) Georgia Power Professor of Excellence (2014) PECASE (2014) DARPA Young Investigator Award (2012) NSF CAREER Award (2012) Blanchard-Milliken Fellowship, Georgia Tech (2010) Sigma Xi Young Faculty Award, Georgia Tech (2010) Burroughs Wellcome Fund Career Award (2006) Outstanding Dissertation Award, UT Austin (2003) Advising & Grants : While specific students aren't listed, he leads a research group studying organism-robot interactions. His grants include NSF CAREER, DARPA Young Investigator, and Burroughs Wellcome Fund Career Award. He also participates in IRI's Robotics and Bioengineering and Bioscience initiatives.

• Autonomy
• Molecular Biomechanics
• Cellular Biomechanics
• +8 more

Mathieu Salzmann is a Senior Scientist and Lecturer at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Computer Vision Laboratory (CVLAB) in the School of Computer and Communication Sciences (IC). He also holds a courtesy appointment with the EPFL College of Humanities and serves as Deputy Chief Data Scientist at the Swiss Data Science Center (SDSC). He has held concurrent roles in teaching units including SIN, SODH, and SSC, reflecting his interdisciplinary engagement. His research focuses on the intersection of machine learning and computer vision, particularly in deep learning for 2D and 3D visual scene understanding, efficient and robust models, domain adaptation, and interpretable AI. These interests are evident across his extensive publication record in top-tier venues. His recent publications (2023–2024) show a consistent trend in advancing deep learning methods for visual recognition, with strong representation at CVPR, ICCV, ECCV, ICML, ICLR, and NeurIPS. Topics include domain generalization, 3D understanding, model robustness, and multimodal learning, often with applications in real-world systems. His editorial roles as Associate Editor for IEEE TPAMI and Action Editor for TMLR further highlight his leadership in the field. Area Chair: ICML 2023, CVPR 2023, ICCV 2023, NeurIPS 2023, AAAI 2024, ECCV 2024 Associate Editor: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Action Editor: Transactions on Machine Learning Research (TMLR) Mathieu Salzmann has supervised numerous PhD students at EPFL, both current and past, including Bouquet Yann Yanis, Javed Saqib, Li Shuangqi, and others. He has also been involved in research grants and collaborative projects, such as his work with S. Süsstrunk and R. Baroni on comics reconfiguration. His part-time role as Senior GNC Engineer at ClearSpace (2020–2024) illustrates his applied research engagement in aerospace systems. He is actively involved in EPFL’s data science and AI research ecosystem through SDSC and multiple labs.

• Computer Vision
• Machine Learning
• Deep Learning
• +7 more

Insup Lee is the Cecilia Fitler Moore Professor in the Department of Computer and Information Science and Director of the PRECISE Center at the University of Pennsylvania's School of Engineering and Applied Science. He holds a secondary appointment in the Department of Electrical and Systems Engineering and the Perelman School of Medicine’s Department of Biostatistics, Epidemiology, and Informatics. IEEE TCCPS Distinguished Leadership Award (2023) Fellow of the AAAS (2022) Test of Time Award, Runtime Verification (2019) Fellow of the ACM (2017) Best Paper Awards at IEEE ICPS, ACM/IEEE ICCPS, and MEMOCODE His research focuses on cyber-physical systems , real-time and embedded systems , safe autonomy , and internet of medical things , with applications in healthcare and connected systems. He advises PhD students including Eric Lu, Kaustubh Sridhar, Sooyong Jang, and Jean Park (co-advised with Kevin Johnson). Recent publications address safety monitoring for learning-enabled systems, model-free control synthesis using reinforcement learning, and multilingual toxicity guardrails for large language models. His team collaborates with institutions like Hillrom and Penn Nursing to optimize medical device usage in clinical settings.

• Cyber-physical Systems
• Real-time and Embedded Systems
• Safe Autonomy
• +3 more

Lior Wolf is a Professor at the School of Computer Science, Tel Aviv University. Previously, he was a postdoctoral researcher at MIT's Center for Biological and Computational Learning (CBCL) under Prof. Tomaso Poggio and earned his PhD from Hebrew University of Jerusalem with Prof. Amnon Shashua. His educational background includes: PhD in Computer Science, Hebrew University of Jerusalem Postdoctoral Research, MIT CBCL Prof. Wolf's research centers on artificial intelligence with seminal contributions to deep learning, computer vision, and natural language processing. His work bridges theoretical foundations (e.g., attention mechanisms, transformer analysis) with practical applications in medical imaging, speech processing, and sign language technology. He pioneered methods for neural network interpretability, efficient sequence modeling, and multimodal fusion. Analysis of his 2023-2025 publications reveals dominant trends in large language model optimization (neuron pruning, attention analysis), efficient video generation, and cross-modal learning. His work increasingly integrates medical applications (fMRI/EEG analysis) while maintaining theoretical rigor in model architecture design. His scientific achievements include: Best paper award at EMNLP 2024 for 'Backward Lens: Projecting Language Model Gradients into the Vocabulary Space' Best paper award at SCIA 2023 for 'Gradient Adjusting Networks for Domain Inversion' Best paper award at FG 2021 for 'Generating Master Faces for Dictionary Attacks' Prof. Wolf mentors graduate students in the School of Computer Science and leads research at the ICRC building laboratory. His team collaborates with 'the friends of TAU' on projects spanning biometric security, medical imaging, and generative AI. Current work focuses on efficient transformers, neural network interpretability, and multimodal medical diagnostics.

• Artificial Intelligence
• Deep Learning
• Computer Vision
• +5 more

Alexandra Horowitz is a Senior Research Fellow and Adjunct Associate Professor at Barnard College. She has been teaching since 2004, specializing in dog cognition and olfactory research. Her academic roles span the Departments of English and Psychology, reflecting her interdisciplinary focus on animal behavior and human-animal interactions. Education: M.S. and Ph.D. in Cognitive Science from UC San Diego; B.A. in Philosophy from the University of Pennsylvania. Research interests include naturalistic observations of dog social play, testing anthropomorphic assumptions, and characterizing canine olfactory abilities. She has authored influential books like Inside of a Dog and Being a Dog , exploring how dogs perceive the world. Her work frequently appears in top journals and media outlets, including the New York Times and TED-Ed. Recent articles highlight studies on dog navigation, play behavior, and olfactory perception. She has been recognized as among the Top 2% of Cited Authors globally. Her presentations and lectures span academic conferences, museums, and public forums, emphasizing science communication.

• Dog Cognition
• Canine Behavior
• Olfactory Experience
• +3 more

Joseph Kable is the Jean-Marie Kneeley President's Distinguished Professor of Psychology at the University of Pennsylvania's Department of Psychology within the School of Arts and Sciences. His research integrates experimental economics, cognitive neuroscience, and personality psychology to investigate the neural and psychological mechanisms underlying decision-making. He explores how subjective value is represented in the brain, deviations from rational choice theory, and individual differences in decision processes. His lab employs fMRI and interdisciplinary methods to study topics like risk tolerance, impulsivity, and neural plasticity. Education: BS in Chemistry from Emory University (undergraduate), PhD in Neuroscience from the University of Pennsylvania (doctoral). Research focuses on behavioral and cognitive neuroscience mechanisms of choice, including studies on temporal predictions, value signals, and brain structure-function relationships. His recent work examines how neural markers correlate with decision-making variability across individuals. He currently advises graduate students in Psychology and has post-doctoral researchers in his lab. Associated with MindCORE, Penn's hub for integrative mind research. Lab activities include undergraduate research programs and active studies exploring decision neuroscience and neuroeconomics.

• Behavioral Neuroscience
• Cognitive Neuroscience
• Decision Processes
• +3 more