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Shujing SunView profile

Assistant Professor

• Healthcare IT
• Social Media Analytics
• Telemedicine
• +4 more

Dr. Shujing Sun is an Assistant Professor of Information Systems at the Naveen Jindal School of Management, University of Texas at Dallas. Her research focuses on Healthcare IT, Social Media Analytics, and the intersection of digital technologies with healthcare operations. She holds a PhD from the University of Rochester (2020) and a BS from Tianjin University (2014). Her work addresses critical challenges such as ER overcrowding, telemedicine adoption, and patient decision-making influenced by social media. Notable contributions include studies on telemedicine's impact on emergency care efficiency and antibiotic prescription patterns. Dr. Sun’s research has been recognized with awards including the Best Paper Award at the 52nd Hawaii International Conference on System Sciences (2019) and a finalist position in the INFORMS Student Paper Competition (2019). Her recent articles analyze telemedicine’s role in healthcare productivity, algorithm vs. social influence in patient choices, and identity cues in social media customer service. Ongoing projects explore healthcare access disparities and the dynamics of online customer complaints. She actively contributes to field experiments in operations management and has published extensively on healthcare IT innovations.

Hamed BadihiView profile

Assistant Professor

• Condition Monitoring
• Fault-Tolerant Control
• Attack-Resilient Control
• +3 more

Hamed Badihi is an Assistant Professor in Automation Technology and Dependable Systems at Tampere University , part of the Faculty of Engineering and Natural Sciences. He leads the Dependability and Automation Research in Cyber-Physical Systems (DARES) Group within the Dependable Systems Cyber Laboratories . His research focuses on critical aspects of condition monitoring, fault-tolerant control, and attack-resilient control to advance sustainable, dependable cyber-physical systems. Research Interests include: Cybersecurity for industrial control systems Fault-tolerant control mechanisms Resilient control strategies for renewable energy systems Condition monitoring of wind turbines and microgrids Recent Contributions emphasize hybrid approaches combining machine learning and control theory for cyber-attack detection and system resilience in wind farms and microgrids. His work addresses challenges like real-time fault diagnosis and adaptive control under adversarial or environmental perturbations. Awards & Roles : Senior Member of IEEE, editor for International Transactions on Electrical Energy Systems , Advances in Fuzzy Systems , and Processes journals. Active in EU projects like StreamSTEP . Labs & Teams : Directs the DARES Group, collaborating on initiatives like the Dependable Systems Cyber Laboratories to pioneer innovations in cyber-physical system dependability.

Nikhil ChopraView profile

Professor

• Nonlinear control
• Robotics
• Control Systems
• +5 more

Dr. Nikhil Chopra is a Professor in the Department of Mechanical Engineering at the University of Maryland, College Park, with affiliate appointments in Electrical and Computer Engineering. He earned his Bachelor of Technology from IIT Kharagpur (2001) and his M.S. and Ph.D. from University of Illinois at Urbana-Champaign (2003, 2006). As Director of Undergraduate Studies, he leads academic programs while advancing research in systems, control, and robotics. His work focuses on robotic system control, soft robotics, teleoperation, and machine learning integration. Research highlights include co-authoring the book *Passivity-Based Control and Estimation in Networked Robotics* (2015), co-chairing the IEEE Technical Committee on Telerobotics, and serving as Associate Editor for *Automatica* and related journals. His lab, the Semi-Autonomous Systems Lab, explores control-theoretic frameworks for robotics and optimization, collaborating with institutions like Sintef and IEEE RAS Technical Committees. Key projects involve underwater robotics navigation, cyber-physical system privacy, and distributed optimization algorithms. His team has exhibited strong presence at ICRA and IROS conferences, including awards for work on 3D water quality mapping and control frameworks. Current initiatives include robotic parasitic arrays for communication enhancement and secure bilateral teleoperation systems. Lab: Semi-Autonomous Systems Lab (SAS Lab) Affiliations: Institute for Systems Research, Maryland Robotics Center Recent Funding: NSF grants, industry partnerships

• Human-Computer Interaction (HCI)
• Computer Supported Cooperative Work (CSCW)
• Ubiquitous Computing
• +3 more

Tony Tang is an Associate Professor in the School of Computing and Information Systems at Singapore Management University (SMU), where he leads the RICELab (Rethinking Interaction, Collaboration, and Engagement). Previously, he held roles at the University of Toronto and University of Calgary. His research focuses on Human-Computer Interaction (HCI), including Human-AI interaction, mixed reality interfaces, and ubiquitous computing. Education : PhD in Electrical and Computer Engineering, University of British Columbia (2010) MSc in Computer Science, University of Calgary (2005) BSc in Computer Science and Psychology, Simon Fraser University (2002) Research Interests : Tang’s work bridges theoretical and applied HCI, emphasizing systems that enhance human collaboration and interaction with technology. His lab explores topics like AI feedback mechanisms, mixed reality environments, and interfaces for distributed teams. Awards & Grants : ACM CHI Academy Member (2014) Funded by NAVER ($1.25M over 5 years), Meta ($30K), and SMU-SUTD Tier 1 Grant (S$100K) Advising & Grants : Supervised 26 graduate students and multiple postdoctoral fellows. His grants include work on immersive analytics and teleconferencing tools for physiotherapy. Labs & Teams : Directs the RICELab, which designs novel interaction systems for collaboration and learning. Active in the HCI community, serving as General Co-chair for CSCW 2022.

Reilly T. EnosView profile

Assistant Professor

• Obesity
• Metabolic Disease
• Sex Differences in Metabolism
• +9 more

Reilly T. Enos, PhD, is an Assistant Professor in the Department of Pathology, Microbiology & Immunology at the University of South Carolina School of Medicine. His research focuses on the molecular mechanisms of sex differences in obesity, particularly metabolic and inflammatory processes influenced by sex steroids. The Enos Lab employs rodent models and advanced metabolic phenotyping to investigate menopause-related metabolic dysfunction and complementary therapies. PhD, Exercise Science (Applied Physiology), University of South Carolina, 2013 Post-Doctoral, Complementary and Alternative Medicine in Cancer and Obesity, University of South Carolina School of Medicine, 2017 MS, Exercise Physiology, Baylor University, 2009 BS, Dietetics, University of Northern Colorado, 2010 BA, Spanish & Physical Education, College of Wooster, 2007 Dr. Enos’s research spans immunometabolism, obesity, cancer cachexia, and gut microbiota. His work explores how dietary components (e.g., quercetin, emodin), hormonal status (especially estrogen), and immune modulation (e.g., miR-155, macrophages) influence metabolic and oncological outcomes. He investigates sex-specific responses to high-fat diets, inflammation, and therapeutic interventions using transgenic and diet-induced mouse models. His recent publications highlight trends in metabolic physiology, inflammation, and cancer, often examining the interplay between adipose tissue, immune cells, and hormonal regulation. Key themes include the impact of vivarium conditions on reproducibility, the role of microRNAs in tumorigenesis, and the safety and efficacy of natural compounds. Dr. Enos has not been awarded any listed scientific prizes or fellowships in the provided texts. He advises a research team focused on metabolic and inflammatory disease models, frequently collaborating with researchers such as Erin A. Murphy and Kandy T. Velázquez. His lab receives funding for studies on obesity, cancer, and complementary medicine, though specific grants are not detailed. The lab is equipped for metabolic phenotyping and rodent model studies. The Enos Lab is dedicated to understanding sex-specific metabolic regulation and developing targeted therapies for obesity and cancer-related metabolic disorders, with a focus on translational relevance and experimental rigor.

Srishti BanerjiView profile

Assistant Professor

• Construction Materials
• Structural Fire Engineering
• Sustainable Infrastructure
• +4 more

Dr. Srishti Banerji is an Assistant Professor in the Department of Civil and Environmental Engineering at Utah State University and Director of the Systems, Materials, and Structural Health (SMASH) Lab. She leads research on advanced construction materials, structural resilience under extreme loads (particularly fire), sustainable infrastructure, and structural health monitoring. Her group focuses on experimental testing, numerical simulations, and developing design solutions for civil infrastructure. Education: PhD in Civil (Structural) Engineering, Michigan State University (2021) MS in Civil (Structural) Engineering, Concordia University (2016) BS in Civil Engineering, National Institute of Technology Silchar (2013) Research Focus: Her work spans: 1) Characterization of high-performance/sustainable materials (e.g., UHPC, recycled glass pozzolan), 2) Structural behavior under fire exposure, 3) Integration of electric charging systems in concrete pavements, 4) Non-destructive testing and structural health monitoring, and 5) Retrofitting techniques for infrastructure strengthening. She employs machine learning, thermo-mechanical modeling, and full-scale experimentation. Publication Trends: Her 13+ journal articles primarily analyze fire resistance of concrete/timber structures, UHPC material properties at high temperatures, sensor-based infrastructure monitoring, and sustainable material development. Recent works increasingly incorporate machine learning and electrification concepts. Awards & Honors: Teacher of the Year (USU, 2025) ASCE ExCEEd Faculty Teaching Fellowship (2023) Top Cited Article Award, Fire and Materials Journal (2023) SHMII-11 Early Career Grant (2022) NSERC Scholarship (2015) Best Conference Paper (SEC 2016) Current Projects & Teams: She leads 5+ funded projects including fire performance of polymer concrete, self-healing concrete for bridges, and Utah-sourced UHPC development. Mentees include 3 PhD students (Abdullah Al Sarfin, Mehrnoosh Nazari, Mahmoud Ali) and alumni working on sustainable materials and additive manufacturing.

Daphna MotroView profile

Associate Professor

• Organizational Behavior
• Emotions in the Workplace
• Behavioral Science
• +7 more

Daphna Motro is an Associate Professor in the Department of Management and Entrepreneurship at Hofstra University's School of Business. She holds a PhD in Management & Organizations from the University of Arizona and a BA in Cognitive Science with highest distinction from the University of Virginia. Her academic work bridges behavioral science, organizational behavior, and ethics. PhD, Management & Organizations – University of Arizona BA, Cognitive Science (Highest Distinction) – University of Virginia Dr. Motro’s research centers on emotions in organizational contexts, particularly how emotional experiences and expressions affect motivation, leadership, ethical behavior, and performance evaluations. She investigates how demographic factors such as gender and race shape emotional dynamics in the workplace. Her methodological approach incorporates modern technologies like eye-tracking and facial recognition software to capture subtle emotional responses. Her recent publications span top journals including the Journal of Applied Psychology , Journal of Business Ethics , and Journal of Experimental Social Psychology . The themes across her work reveal a strong focus on behavioral ethics, emotional regulation, bias in evaluation, and affective influences on decision-making. Her research has been featured in high-impact outlets such as Harvard Business Review and MIT Sloan Management Review , indicating broad relevance beyond academia. Dr. Motro teaches graduate and undergraduate courses such as Organizational Behavior and Compliance, Ethics, and Sustainability. She emphasizes interactive, research-informed pedagogy to engage students in contemporary organizational challenges. While no specific scientific awards or student advisees are listed in the profile, her publication record and media presence reflect a growing influence in the field of organizational behavior and behavioral ethics. She is actively involved in research and teaching, with no indication of retirement or emeritus status. Her office is located in Leo A. Guthart Hall, and she can be contacted via the university’s email system.

• Neuroscience
• Neurodegeneration
• Alzheimer's Disease
• +12 more

Dr. Axel Sandvig is an Adjunct Associate Professor at the Department of Community Medicine and Rehabilitation , Umeå University , with a focus on neurodegenerative diseases and neural network engineering. He also serves as a physician at the Department of Clinical Sciences , Umeå University , specializing in neurosciences. His work intersects clinical practice with cutting-edge research in neuroengineering and neurodegeneration. Adjunct Associate Professor, Department of Community Medicine and Rehabilitation, Umeå University Physician, Department of Clinical Sciences, Umeå University Dr. Sandvig’s research spans multiple domains of neuroscience , neuroengineering , and biomedical applications . He investigates Alzheimer’s disease using engineered human neural networks with mutations like LRRK2 G2019S and P301L tau, analyzing structural, functional, and connectomic changes. His work also explores neuroplasticity in stroke recovery , nanotechnology for neuroimaging , and lab-on-chip platforms for neuromodulation. Recent studies highlight synaptic connectivity and autophagy pathways as therapeutic targets. The 15 most recent publications reveal a trend toward neurodegenerative disease modeling , neural network dynamics , and biomedical nanotechnology . Key subfields include LRRK2/tau mutations , small-world network topology , neuroregeneration after ischemia , and gold nanostructure design . His work often involves in vitro models , neuroimaging , and stem cell applications . Dr. Sandvig collaborates extensively on neuroregenerative therapies , including nanoparticle delivery systems and manganese-enhanced MRI for axonal tracing. His affiliations bridge clinical practice at Norrland University Hospital with academic research at Umeå University.

Pablo OteizaView profile

Research Professor

• Hydrodynamics
• Sensory Biology
• Animal Behavior
• +3 more

Dr. Pablo Oteiza serves as Research Group Leader at the Max Planck Institute for Biological Intelligence in Martinsried, Germany, where he leads the Flow Sensing research group. Previously, he was Group Leader at the Max Planck Institute for Ornithology (2019-2024) and Research Associate there (2016-2019). His academic journey includes a postdoctoral fellowship at Harvard University's Department of Molecular and Cellular Biology and Center for Brain Science (2010-2016), and graduate studies at Universidad de Chile and the Max Planck Institute for Molecular and Cellular Biology (2004-2010). Dr. Oteiza's research program investigates how aquatic animals sense and respond to their hydrodynamic environment. His quantitative behavioral approach seeks to understand the fundamental principles governing flow navigation in fish and amphibians. His work spans sensory biology, neuroscience, biomechanics, and evolutionary biology, with zebrafish serving as a primary model organism. His research bridges physical hydrodynamics with biological sensory mechanisms, exploring how organisms extract meaningful information from fluid movements. Analysis of Dr. Oteiza's publications reveals a research trajectory evolving from developmental biology toward specialized sensory mechanisms. His work in high-impact journals demonstrates consistent focus on sensory systems across multiple scales - from cellular and molecular mechanisms to whole-organism behavior. His research shows particular strength in connecting physical stimuli with neural processing and behavioral outputs, especially in aquatic environments. As Research Group Leader, Dr. Oteiza oversees a laboratory investigating fundamental questions about hydrodynamic sensing. His team employs advanced techniques to study neural circuits, sensory processing, and behavioral responses to water flow, contributing significantly to our understanding of how organisms interact with their fluid environments. His collaborative work extends across international institutions, reflecting the interdisciplinary nature of his research.

Jochen WolfView profile

Professor

• Evolutionary Biology
• Speciation Genomics
• Genome Evolution
• +7 more

Jochen Wolf is Chair of the Evolutionary Biology Division at Ludwig-Maximilians-Universität München (LMU) and a Max Planck Fellow of the Max Planck Institute for Biological Intelligence since 2022. His research integrates evolutionary biology, genomics, and ecology to address fundamental questions about speciation, adaptation, and biodiversity across multiple biological systems. Dr. Wolf's research program applies an integrative approach to understand microevolutionary processes and genetic mechanisms underlying species divergence. His work combines large-scale genomic analyses with laboratory and field experiments to characterize genomic divergence across populations and species. Key empirical systems include natural populations of birds (particularly corvids, swallows, and cuckoos), marine mammals (pinnipeds and killer whales), plant communities, and experimental evolution in fission yeast. His research spans multiple scales from immediate microevolutionary processes to broader evolutionary patterns across time. His recent publications reveal a sophisticated integration of genomic, epigenetic, and ecological perspectives. A notable trend shows increasing focus on structural genomic variation, chromosomal rearrangements, and epigenetic mechanisms as drivers of evolutionary processes. His work demonstrates how these molecular mechanisms interact with ecological factors to shape patterns of biodiversity and adaptation. Dr. Wolf's research has gained significant recognition through publications in top-tier journals including Nature, Science, and Nature Ecology & Evolution. His groundbreaking studies on crow hybrid zones, killer whale ecotypes, and experimental evolution of speciation have been featured in prominent media outlets such as The New Yorker, The Guardian, Scientific American, and Der Spiegel, demonstrating the broad impact of his work. As Principal Investigator, Dr. Wolf actively mentors doctoral students and postdoctoral researchers, fostering the next generation of evolutionary biologists. His lab maintains strong international collaborations, particularly through affiliations with SciLifeLab in Uppsala. Research in his group is supported by multiple funding sources including German Research Foundation grants and European Union programs, enabling both fundamental research and applications to conservation biology. The Wolf lab operates within LMU's Division of Evolutionary Biology, which provides access to state-of-the-art facilities including the Leibniz Supercomputing Centre. The lab maintains strong connections with the Max Planck Institute for Biological Intelligence and SciLifeLab in Uppsala, creating a rich collaborative environment for interdisciplinary research in evolutionary genomics. This network enables comprehensive studies spanning from molecular mechanisms to ecological and evolutionary consequences across diverse biological systems.

Matthias LangView profile

Associate Professor

• Microeconomic Theory
• Contract Theory
• Behavioral Economics
• +4 more

Matthias Lang is an Associate Professor of Economics at Ludwig Maximilian University (LMU) Munich, specializing in applied microeconomic theory. He holds a PhD from the Bonn Graduate School of Economics and is Principal Investigator of the Collaborative Research Centre/Transregio 190 (CRC TRR 190) on 'Rationality and Competition.' He is also a CESifo Fellow. His research focuses on uncertainty, contract design, and behavioral economics, with applications to insurance fraud, tax evasion, and political competition. Lang has served as an Assistant Professor at Freie Universität Berlin and Humboldt University Berlin, and was a Senior Research Fellow at the Max Planck Institute for Research on Collective Goods. His work bridges game theory, mechanism design, and decision theory, addressing strategic uncertainty and contractual solutions to mitigate its effects. He has been awarded the Walther-Rathenau Award for Best Paper (2015) for his work on communicating subjective evaluations. His recent research explores ambiguous product information dynamics, narrative-based mechanisms, and the value of transparency in campaign promises. Lang actively contributes to academic communities through numerous presentations at international conferences and serves on editorial review boards for top journals.

James CurleyView profile

Associate Professor

• Social Dynamics
• Social Neuroscience
• Social Determinants of Health
• +4 more

James Curley is an Associate Professor in the Department of Psychology at the University of Texas at Austin, part of the College of Liberal Arts. He is Co-Director of the Behavioral and Social Data Science Major and Principal Investigator of the Social Dynamics Lab. His research focuses on the neurobiological basis of social behavior, social hierarchies, and long-term physiological changes linked to social status. He earned his B.A. from the University of Oxford and a Ph.D. from the University of Cambridge, followed by postdoctoral work at Cambridge before joining Columbia University in 2012. At UT Austin since 2017, he has received awards including the Affordable Education Champion (2021), Dr. Wendy Domjan Excellence in Teaching Award (2021), and President’s Associates Teaching Excellence Award (2022). His teaching includes courses on statistics, R programming, and social behavior analysis. Curley’s lab investigates social dynamics through interdisciplinary approaches, combining behavioral studies with genomic, transcriptomic, and neuroendocrine analyses. He emphasizes open educational resources, co-authoring an open-access textbook for statistics and developing interactive learning tools. His work spans animal and human social systems, exploring how early life experiences shape behavior and how social hierarchy impacts neural and physiological processes. He has published extensively on topics like social dominance, gene expression, and the application of network models to understand social interactions. Teaching highlights include PSY 317L (statistics for behavioral sciences), PSY 120R (R programming), and UGS 302 (Being Social). His commitment to affordable education and innovative pedagogy has been recognized nationally. Research collaborations include studies on primate microbiota, stress vulnerability in depression models, and transgenerational epigenetic effects. He maintains affiliations with platforms like GitHub and Google Scholar, reflecting his embrace of open science principles.

• Computational Neuroscience
• Visual System
• Sensory Coding
• +7 more

Thomas Wachtler-Kulla is a Professor in the Department of Biology II at Ludwig-Maximilians-University Munich, where he leads the Computational Neuroscience research group. He is a GSN full member and serves as the GSN Ombudsperson, offering neutral and confidential counseling for students. He is also the Group Leader and Scientific Director at the German Neuroinformatics Node (G-Node), contributing significantly to neuroscience data infrastructure. His research focuses on how the brain processes sensory signals, particularly in the visual system, aiming to understand neural coding, perceptual stability, and color vision under natural conditions. He employs neurophysiology, psychophysics, and computational modeling to investigate sensory processing, eye movement compensation, and efficient coding mechanisms. At G-Node, he develops software and hardware tools for organizing, storing, analyzing, and sharing neurophysiological data, promoting reproducible research. His recent work spans Bayesian models of hue perception, data management frameworks like DataLad and odML, and studies on honeybee neuroethology. He actively supervises graduate students and contributes to major initiatives such as NFDI-Neuro and the International Neuroinformatics Coordinating Facility, advancing standards for open and FAIR neuroscience. Scientific Contributions and Leadership: Scientific Director, German Neuroinformatics Node (G-Node) GSN Ombudsperson for student conflict resolution Key contributor to NFDI-Neuro and INCF Developer of tools for metadata management and data sharing He advises several current and former graduate students and is deeply involved in shaping data policies and infrastructure for the neuroscience community, ensuring scientific rigor and accessibility.

Craig A. ChinView profile

Associate Professor

• Digital Signal Processing
• Machine Learning
• Biomedical Signal/Image Processing
• +7 more

Craig A. Chin is an Associate Professor in the Department of Electrical Engineering at Kennesaw State University. He holds a Ph.D. and M.S. in Electrical Engineering from Florida International University (2006, 2001) and a B.S. in Electrical and Computer Engineering from the University of the West Indies (1995). Research Interests: Digital Signal Processing for Biomedical Applications Machine Learning in Biomedical Signal/Image Analysis Wireless Body Area Networks (WBANs) for Healthcare Network Security in Resource-Constrained Environments Biometric Authentication for Wireless Sensor Networks Innovations in Engineering Education (Cooperative/Active Learning, Humanities Integration) Article Trends: His publications (2001–2019) focus on Biomedical Signal Processing (EMG/Eye-Gaze Integration, Stress Detection), WBANs for mHealth , and Engineering Education Pedagogy . Recent work (2013–2019) emphasizes Cooperative Learning Strategies and Wireshark-based Network Security Labs . Academic Contributions: Craig has taught courses such as Biometrics, Data Communications, Biomedical Instrumentation, and Medical Electronics. He actively explores future research on biometric-driven security for Body Area Sensor Networks and active learning strategies in online education.

Henrik Myhre JensenView profile

Professor

• Mechanics of Materials
• Solid Mechanics
• Mechanical Engineering
• +4 more

Henrik Myhre Jensen is a Professor at the College of Engineering , Aarhus University, specializing in Mechanics of Materials , Solid Mechanics , and Mechanical Engineering . His research focuses on fracture mechanics, composite materials, and computational modeling of structural behaviors. Research Focus Fracture mechanics in composites and layered materials Computational modeling of kink band propagation Surface wear and coating technologies Ultrasound imaging applications in mechanical systems Notable Contributions Henrik has contributed to understanding crack propagation in cantilever beams, developed numerical methods for simulating delamination in composites, and explored buckling instabilities in solids. His recent work connects machine learning (holomorphic neural networks) to traditional fracture mechanics problems. Key Projects MAGFLY (2017-2021): Magnets for Flywheel Energy Storage InnoVacc (2009): Pressure Testing of Vacuum Chambers Simulation of composite structures (2011-2020): Micro-mechanical modeling