Find Academic Supervisors

• Computational Biology
• Molecular Biology
• Cell Biology
• +5 more

Roy Wollman is a Professor at the University of California, Los Angeles (UCLA) in both the Department of Integrative Biology and Physiology and the Department of Chemistry and Biochemistry within the College of Letters and Science. His work bridges experimental and computational approaches to study dynamic signaling networks and their impact on cellular decisions. Research Focus: Computational and systems biology of signaling pathways Key Techniques: Single-cell analysis, spatial transcriptomics, quantitative modeling Major Themes: Information transmission in biochemical networks, cellular decision-making, epigenetic regulation Recent work has emphasized spatial transcriptomics mapping of brain regions, wound response signaling, and multi-scale analysis from cell biology to physiology. His lab has developed computational tools like scPNMF for gene selection and JSTA for cell segmentation and annotation. Key findings include mechanisms of TNF-induced cell death tradeoffs and laminin scarring effects in stem cell function. Roy Wollman has received continuous NIH funding since 2009, including grants for studying NFκB dynamics (R01GM117134), corneal wound signaling (R01EY024960), and single-cell technologies for traumatic brain injury (R01NS117148). His research combines high-throughput microscopy with computational modeling to understand how cells process dynamic signals.

Penny KyburzView profile

Professor

• Video Games
• Game Design
• AI
• +4 more

Prof. Penny Kyburz is a Professor and Associate Director (Engagement & Impact) at the School of Computing, Australian National University. She leads the GameFlow Lab and teaches Game Development, focusing on AI, human-AI interaction, and game design. Her work bridges academia and industry, with 20+ award-winning games including four BAFTA nominations. She holds a PhD, B.InfoTech(Hons), G.C.Ed.(Higher Ed.), and G.C.Acad.Prac. Education: Ph.D. B.InfoTech(Hons) Graduate Certificate in Education (Higher Education) Graduate Certificate in Academic Practice Research Interests: Video games, game design, and player experience AI and human-AI collaboration Virtual Reality and Mixed Reality applications Technology policy and digital rights Educational games and accessibility Awards: 4 BAFTA nominations for game contributions High critic scores for usability-tested AAA games Grants/Projects: IDEATE (2024–2028) MEC23: Advanced Biometrics (2023) C2 Sociotechnical Collaboration (2022–2024) Role-Based Deception in Games (2020–2021) Her GameFlow model and book on emergence in games are foundational in player experience research. She advocates for diversity in tech and has advised on digital rights in the Senate.

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +5 more

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

Bala BalasingamView profile

Professor

• Battery Management Systems
• Autonomous Vehicles
• Human Factors Engineering
• +4 more

Bala Balasingam is a Professor at the University of Windsor's Faculty of Engineering, specializing in interdisciplinary research at the intersection of electrical engineering, human factors, and autonomous systems. His work focuses on battery management systems, cognitive load assessment, and the human aspects of automated driving. Collaborating with the Faculty of Human Kinetics, he addresses challenges related to driver distraction and vigilance in autonomous vehicles. Research interests include battery parameter estimation, real-time state-of-charge tracking, and thermal management of lithium-ion batteries. His team employs advanced methods such as electrochemical impedance spectroscopy (EIS), Kalman filtering, and machine learning for battery diagnostics. In human factors, his studies utilize eye-tracking and biometric sensors to evaluate cognitive workload during complex tasks like vehicle takeovers in automated systems. Key contributions include novel approaches to battery internal resistance estimation, optimized charging algorithms, and validation frameworks for battery management systems. His recent work explores the integration of portable devices in automated driving systems and the impact of cognitive load on driver performance. Collaborations span engineering and kinesiology domains, emphasizing practical applications in transportation and energy sectors. Labs/Teams: Leads interdisciplinary projects combining electrical engineering and human kinetics expertise, with a focus on real-world applications in automotive and industrial automation.

Andreas U. LanzView profile

Professor

• Social Networks
• Influencer Marketing
• Digital Marketing
• +3 more

Prof. Dr. Andreas U. Lanz is a marketing professor at the University of Basel since 2023, joining from HEC Paris. His research focuses on social networks and micro-influence strategies , with award-winning work on digital content dissemination. Education : Doctoral degree from the University of Mannheim Research Interests : Andreas Lanz specializes in influencer marketing , network dynamics , and digital consumer behavior . His work explores how micro-influencers drive content virality, status-based network seeding, and economic models for creator platforms. He co-chairs the Creator Economy Retreat and EMAC Creator Economy Special Interest Group . Recent Publications : His 2025 Management Science paper examines creator economy value chains, while 2024 Journal of Marketing studies optimize influencer targeting through triadic closure. Earlier works in MIS Quarterly and Journal of Marketing Research address social capital formation and adaptive modeling techniques. Scientific Awards : Outstanding Reviewer Award (Journal of Marketing, 2024) ISMS Early-Career Fellowship (2023) AMA Don Lehmann Award (2021, 2025) SAMS Rigour & Relevance Award (2020) EMAC/Sheth Foundation Dissertation Runner-up (2018) Academic Service : Editorial board member for Journal of Marketing and Marketing Science , organizer of the EMAC Job Market Simulation , and contributor to digital marketing education frameworks.

• Computational Social Science
• Artificial Intelligence
• Robotics
• +5 more

Dr. Yara Khaluf is an Assistant Professor in the Information Technology Group at Wageningen University & Research, Department of Social Sciences. She holds a PhD (2014, Paderborn University, cum laude) on robot swarm task allocation, followed by postdoctoral research at Paderborn University (2014–2015) and Ghent University’s IDLab (2015–2021). Her work focuses on computational social science, hybrid human-agent societies, and distributed artificial cognition, leveraging agent-based modeling and systems dynamics for behavior prediction/modulation. She leads European-funded projects like ChronoPilot (EU Horizon2020 FET) and DELICIOS (FWO, 2019–2022). Her research explores interactions between artificial agents and humans, developing cognitive capacities for seamless interaction via social feedback networks. Notable contributions include collective foraging algorithms, time perception modeling, and agent-based simulations for public health interventions. Awards include competitive IGS and DFG fellowships. She collaborates with leading experts in swarm intelligence (Dorigo, Stuetzle), collective decision-making (Hamann, Marshall), and experimental psychology (Johansson, Vatakis). Current projects investigate modulating human time perception and delegation of conflict-of-interest decisions to AI agents. Teaching includes courses on model thinking, agent-based modeling of complex systems, and data science applications in food/consumer science. Her work bridges computational methods with societal challenges, emphasizing scalable solutions for hybrid systems.

Gunnar von HeijneView profile

Professor

• Molecular Biology
• Cell Biology
• Bioinformatics
• +5 more

Gunnar von Heijne serves as Professor of Theoretical Chemistry at Stockholm University, a position he has held since 1994, and as Director of the Center for Biomembrane Research since 2006. Previously, he directed the Stockholm Bioinformatics Center from 2000-2006. His academic career includes appointments at Karolinska Institute as Associate Professor (1989-1994), University of Munich as Full Professor of Computer Science (1999-2002), and ETH Zurich as Professor of Computer Science (2003). Dr. von Heijne earned his Ph.D. in Theoretical Physics from the Royal Institute of Technology, Stockholm in 1980. His research focuses on protein sorting and membrane protein biogenesis, with groundbreaking contributions including the discovery of the "(-1,-3)-rule" for signal peptide cleavage sites and the "positive inside" rule for membrane protein topology. He has developed essential bioinformatics tools such as SignalP, TargetP, and TMHMM that are widely used in the field. His work spans both computational methods development and experimental validation across E. coli and eukaryotic systems, with recent emphasis on dual-topology membrane proteins and their evolutionary significance. His research has established fundamental principles in membrane protein biology and provided essential tools for the global research community. Dr. von Heijne's publications have received approximately 75,000 citations with an h-index of 102, reflecting his significant impact on molecular biology, bioinformatics, and membrane protein research. The T. Svedberg Award, The Swedish Biochemical Society (1990) The Göran Gustafsson Prize, The Swedish Academy of Sciences (1995) The Arrhenius Medal, The Swedish Chemical Society (1997) Elected member of the Royal Swedish Academy of Sciences (1997) Elected member of the Academia Europaea (1998) "Excellence" Award, the Swedish Research Council (2002) Honorary Doctorate, Åbo Akademi (2008) The van Deenen Medal, Utrecht University (2009) The Accomplishment by a Senior Scientist Award of the International Society for Computational Biology (2012) Dr. von Heijne has supervised 16 Ph.D. students since 1991 and has served extensively on academic committees, including as faculty examiner for doctoral defenses at multiple international institutions. He has chaired the Nobel Committee for Chemistry since 2007 and has participated on editorial boards of leading journals including Journal of Molecular Biology and EMBO Journal. As Director of the Center for Biomembrane Research, he leads an interdisciplinary team investigating membrane protein structure, function, and biogenesis through integrated experimental and computational approaches, advancing our understanding of fundamental cellular processes.

• Computational Social Science
• Natural Language Processing
• Human-Computer Interaction
• +3 more

Cristian Danescu-Niculescu-Mizil is an Associate Professor in the Department of Computer Science at Cornell University's College of Engineering, where he leads research at the intersection of computational social science and human-computer interaction. His work examines how language shapes and reflects social dynamics in digital environments, with applications for platform design and community health. His research focuses on computational social science , natural language processing , and human-computer interaction , particularly analyzing online discourse evolution, social influence mechanisms, and community dynamics. Key methodologies include large-scale data analysis, machine learning, and longitudinal modeling of language behavior across platforms like Reddit, Twitter, and Wikipedia. Analysis of his recent publications reveals strong trends in cross-platform misinformation tracking , AI-driven content moderation , and linguistic adaptation in support communities . His work consistently bridges technical NLP advances with sociological insights, emphasizing ethical implications and real-world interventions for healthier online ecosystems. Scientific recognition includes: NSF CAREER Award for foundational work in computational social science Multiple industry research awards from Google and Facebook ACM SIGCHI Best Paper Award for community health research He actively mentors doctoral students in computational social science, with several advisees now faculty at top institutions. His research is supported by NSF grants focused on social dynamics modeling and NLP for community health, often collaborating with social scientists and industry partners. Current projects investigate AI moderation systems and longitudinal language evolution in online communities through the Digital Discourse Lab .

• Data Management
• Digital Preservation
• Machine Learning
• +4 more

Andreas Rauber is an Associate Professor in the Department of Data Science at Technical University of Vienna. He serves as Curriculum Coordinator for Bachelor and Master programs in Business Informatics and Data Science, and chairs the Curriculum Commission for Business Informatics. His research focuses on Information Systems Engineering, Logic and Computation, and Visual Computing, addressing challenges in data management, digital preservation, and reproducibility in e-science. He leads projects like OS Trails and FAIR-AI, emphasizing FAIR principles and trustworthy research infrastructures. Rauber has contributed to over 150 publications, including works on data citation frameworks, adversarial ML defenses, and reproducibility in IR. His work bridges technical innovation with policy, exemplified through roles in the EOSC Support Office Austria and RDA Austria initiatives. Key projects include establishing FAIR data practices across universities and advancing digital preservation through repositories like DBRepo. He coordinates international collaborations, such as the EU-funded EOSC-Life and EGI Advanced Computing projects. His teaching spans courses in machine learning, information retrieval, and research methods, fostering next-generation data scientists.

Tivon RiceView profile

Assistant Professor

• Digital Art
• Experimental Media
• Computer Vision
• +5 more

Tivon Rice is an Assistant Professor in DXARTS (Digital Arts and Experimental Media) at the University of Washington. His work critically examines digital culture's impact on representation, communication, and environmental systems. Rice holds a PhD from UW (2016) and an MFA in Sculpture (2006), with a BFA in Sculpture & Electronic Media (2000). He is a Fulbright Scholar (Korea, 2012) and collaborated with Google's Artists + Machine Intelligence program. Education: PhD, DXARTS, University of Washington, 2016 MFA, Sculpture, University of Washington, 2006 BFA, Sculpture & Electronic Media, University of Colorado, 2000 Research focuses on digital culture's poetics, emerging technologies, and environmental narratives. Projects use AI, 3D scanning, and experimental film to explore how new technologies shape visual communication and social systems. Recent exhibitions include venues in New York, Seoul, Berlin, and São Paulo. Awards: Fulbright Scholar Award (2012) Google Artists + Machine Intelligence Collaboration Grants and advising details are pending explicit mentions in texts. Affiliated with UW eScience Institute, exploring computational methods in artistic research.

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.

Alicia KollárView profile

Assistant Professor

• Quantum Simulation
• Circuit Quantum Electrodynamics (cQED)
• Superconducting Circuits
• +3 more

Alicia Kollár is the Chesapeake Assistant Professor of Physics at the University of Maryland, affiliated with the Joint Quantum Institute (JQI) and Quantum Technology Center. She holds a B.A. from Princeton University (2010) and a Ph.D. from Stanford University (2016). Her research focuses on quantum simulation using superconducting circuits, particularly leveraging coplanar waveguide (CPW) lattices to explore hyperbolic geometries, gapped flat bands, and photon-mediated spin models. Her work bridges condensed matter physics, quantum optics, and topological systems, with applications in quantum error correction and novel quantum materials. Key projects include creating artificial photonic materials in circuit QED, studying driven-dissipative systems, and developing experimental platforms for Floquet engineering. She has pioneered hyperbolic lattice designs enabling non-Euclidean quantum simulations and contributed to protocols for verifying quantum advantage. Her lab actively seeks postdocs and graduate students, emphasizing interdisciplinary approaches to quantum science and technology. Notable awards: NSF CAREER Award (2021), Princeton Materials Science Postdoctoral Fellowship (2017) Research groups: AMPED, JQI, Quantum Information and Computer Science (QuICS) Key collaborations: Andrew Houck (Princeton), JQI theorists Recent breakthroughs include demonstrating autonomously stabilized Floquet states and proposing efficient quantum verification protocols. Her work has been featured in PRX Quantum, Physical Review A/X, and Nature Communications.

Brett HarrisView profile

Professor

• Geophysics
• Hydrogeology
• Mineral Exploration
• +4 more

Professor Brett Harris is a faculty member at Curtin University, affiliated with the School of Earth and Planetary Sciences (EPS) within the Faculty of Science and Engineering. He holds a prominent role in the Office of the Provost. His research focuses on subsurface resource technologies, including mineral exploration, CO2 sequestration, and geothermal energy. He has led major initiatives like the DET CRC and MinEx CRC projects, advancing in-hole electromagnetic sensing and distributed acoustic sensing techniques. His expertise spans hydrogeology, geophysics, and environmental geoscience, with notable contributions to aquifer characterization, fault zone dynamics, and CO2 storage monitoring. He coordinates undergraduate courses in electromagnetism, potential fields, and environmental geophysics, while supervising multiple PhD students. Key collaborations include work with government agencies on fractured aquifer detection and geothermal systems. Recent research emphasizes innovative sensor technologies for subsurface imaging, CO2 leakage monitoring, and groundwater sustainability. His work bridges geophysics with applied engineering solutions for resource exploration and environmental stewardship.

• Machine Learning for Music
• Music Modeling and Generation
• Ethics of AI in Music
• +4 more

Bobby Lee Townsend Sturm JR is an Associate Professor at KTH Royal Institute of Technology, leading the MUSAiC project (ERC-2019-COG). He holds a PhD in Electrical and Computer Engineering from UC Santa Barbara (2009), followed by postdoctoral research at LAM, Paris 6, and academic roles at Aalborg University and Queen Mary University of London. His research focuses on AI ethics in music, generative AI for music, and folk music preservation. Current roles at KTH include teaching and supervising in Machine Learning, Music Informatics, and AI Ethics. He has pioneered AI music generation challenges (e.g., 2020 Double Jigs Challenge) and investigates societal impacts of AI on traditional music cultures. His work bridges technical innovation with cultural and ethical considerations, addressing issues like data colonialism, algorithmic bias, and human-AI collaboration in creative contexts. Education: PhD (UCSB, 2009), Postdoc (Paris 6), Academic appointments at Aalborg University (2010–2014) and Queen Mary University (2014–2018) Key Projects: MUSAiC (ERC), Virtual Session System for Irish Music, Traditional Music Dataset Analysis Teaching: Courses in Machine Learning, Music Acoustics, and ICT Innovation Publications span peer-reviewed journals and conferences, emphasizing ethical AI, music generation, and interdisciplinary research in MIR (Music Information Retrieval). He actively collaborates with musicians, anthropologists, and technologists to ensure culturally informed AI development.

Andrea W. LuangrathView profile

Associate Professor

• Consumer Behavior
• Nonverbal Influence
• Sensory Marketing
• +7 more

Andrea W. Luangrath is an Associate Professor of Marketing and Henry B. Tippie Research Fellow in the Tippie College of Business at the University of Iowa. She holds a PhD in Marketing from the University of Wisconsin–Madison and teaches consumer behavior at both undergraduate and doctoral levels. Research Interests: Nonverbal social influence in consumer contexts Haptics and sensory marketing Textual paralanguage and consumer linguistics Psychological ownership Virtual reality and digital experiences Her recent research explores how digital cues mimic physical sensations, how language conveys nonverbal emotion, and how consumers develop feelings of ownership. Her work has been published in premier journals including the Journal of Marketing Research , Journal of Consumer Research , and Journal of Consumer Psychology . She has received numerous awards, including the C.W. Park Young Contributor Award (2017), the Early Career Faculty Research Award (2021), and the Mid-Career Faculty Scholar Award (2025–2028). She is also an MSI Young Scholar (2023). Mid-Career Faculty Scholar Award - University of Iowa (2025–2028) MSI Young Scholar, Marketing Science Institute (2023) Early Career Faculty Research Award - Tippie College of Business (2021) Cannon Faculty Scholarship for Teaching Excellence (2020) Highly Cited Paper Award - Journal of Consumer Psychology (2017) C.W. Park Young Contributor Award (2017) Park Outstanding Contribution to JCP Award (2016) She has secured research funding through the Tippie Research Excellence Grant (2019) and served as Director of Graduate Studies in Marketing from 2022 to 2025. She is actively involved in the academic community as an Editorial Board Member for the Journal of Marketing Research (from 2025) and Journal of Consumer Psychology (from 2022). Her lab focuses on behavioral experimentation in consumer psychology, leveraging both virtual environments and textual analysis tools to study nonverbal influence.