Find Academic Supervisors

Cornelia RedekerView profile

Associate Professor

• Urban Planning
• Flood Management
• Sustainable Urban Development
• +3 more

Cornelia Redeker is an Associate Professor and Head of Department at the Umeå School of Architecture, Umeå University. She also serves as Directory Coordinator, leading academic and administrative initiatives. Her work focuses on sustainable urban planning, flood resilience, delta urbanism, and productive landscapes in transnational contexts like Egypt and Sweden. Research interests include adaptive water management strategies, urban flood integration, and the Water-Energy-Food Nexus. She leads projects like Designing Cycles at 64° exploring northern Sweden’s boreal landscapes and the Bauhaus Goes North initiative. Recent publications address Suez Canal urbanization, Egyptian delta challenges, and Nordic boreal-industrial landscape practices. She secured a Vinnova grant for innovative resource management research and established the School’s new doctoral program in 2024. Grants: Vinnova-funded research in resource management architecture Leadership: Spearheaded new academic programs and research groups at Umeå School of Architecture Labs/Teams: Directs the Designing Cycles research group and collaborates with DesignBuild Studio Cairo

Ajit SubramaniamView profile

Research Professor

• Oceanography
• Remote Sensing
• Phytoplankton Physiology
• +6 more

Dr. Ajit Subramaniam is a Lamont Research Professor at the Lamont-Doherty Earth Observatory (LDEO), part of Columbia University's Columbia Climate School, and an Adjunct Professor in the Department of Earth and Environmental Sciences. He also serves as Lecturer in the M.S. in Sustainability Science program at Columbia's School of Professional Studies. His roles include Co-Director of the Community-Based Co-production of Knowledge Network and former Program Director at the Gordon and Betty Moore Foundation and NSF. Education: Ph.D. in Coastal Oceanography (1995), M.S. in Marine Environmental Science (1989), B.Sc. (Special) in Physics (1984), all from Stony Brook University and The American College in India. Research Focus: Specializes in oceanography, biogeochemical cycles, and remote sensing. Key interests include phytoplankton physiology, nitrogen fixation, Amazon River plume dynamics, and cyanobacterial blooms. His work emphasizes advancing ocean observation technologies and integrating community-based co-production of knowledge in environmental research. Recent projects explore Arctic climate impacts, Gulf of Mexico oil effects, and tropical Atlantic upwelling systems. Publications & Awards: Over 55 publications, including seminal works on Trichodesmium ecology and Amazon plume impacts. Honors include ASLO Sustaining Fellow (2024), NSF Director’s Award (2010), and Fulbright Senior Specialist Award (2010). His research bridges global climate dynamics with local community engagement, particularly in Indigenous co-production frameworks. Grants & Collaborations: Led major NSF-funded projects like ECOGIG (Gulf of Mexico study) and Amazon plume Lagrangian analysis. Collaborates with NOAA, USC, and international institutions. Active in policy through initiatives like the Climate & Life Fellowship (2021–2023). Labs & Teams: Core member of LDEO's Biogeochemistry and Environmental Dynamics groups. Oversees projects at LDEO’s Palisades facility and fieldwork in Arctic, tropical Atlantic, and Gulf of Mexico regions.

Michelle BuschView profile

Researcher

• Aquatic Ecology
• Freshwater Ecosystems
• Biodiversity Conservation
• +3 more

Dr. Michelle Busch is a Post-doctoral Researcher in Aquatic Ecology at the University of Kansas, affiliated with the Kansas Biological Survey and the Department of Ecology and Evolutionary Biology. Her research focuses on understanding how aquatic communities respond to human impacts on rivers and streams, particularly in non-perennial systems. She investigates drivers of macroinvertebrate assemblage dynamics and the functional consequences of drying-wetting cycles on stream ecosystems. Her work bridges ecology, biogeochemistry, and policy to address freshwater management challenges. Michelle is advised by Dr. Amy Burgin during her postdoctoral fellowship. Her research interests include: Non-perennial river ecology Stream intermittency dynamics Biodiversity responses to environmental change Legacy effects in community assembly Ecological modeling and big data integration Michelle has been recognized with prestigious awards, including the University of Oklahoma’s Nancy Mergler Dissertation Completion Fellowship (2023) and the Outstanding Graduate Student Award (2023). Her recent publications emphasize global patterns of inundation, biogeochemical responses to drying, and the development of standardized terminology for non-perennial waterways. Her collaborative projects include the AIMS initiative (Aquatic Intermittency effects of Microbiomes in Streams), which integrates microbiome data with ecosystem-level processes. She actively participates in interdisciplinary teams to design environmental flow frameworks and improve monitoring strategies for non-perennial systems.

Roy G.J. DamgraveView profile

Assistant Professor

• Virtual Reality
• Augmented Reality
• Synthetic Environments
• +9 more

Roy G.J. Damgrave is an Assistant Professor at the Laboratory of Design, Production and Management, Faculty of Engineering Technology, University of Twente. His work integrates Virtual and Augmented Reality, Synthetic Environments, and digital twin technologies into product development and smart manufacturing processes. He is actively involved in both research and education, supervising student theses and contributing to curricula in Industrial Design Engineering and Mechanical Engineering. His research focuses on decision-making support for technology implementation in multi-stakeholder industrial settings, particularly within Industry 4.0. He manages the Virtual Reality and Smart Industry Lab, where immersive technologies are applied to enhance manufacturing, remote collaboration, and maintenance processes. His work contributes to UN Sustainable Development Goals related to industry, innovation, and infrastructure. Roy Damgrave's recent publications highlight trends in mixed reality applications for railway maintenance, digital twinning in SMEs, AR-based engineering education, and HMLV manufacturing insights. His work spans computer science, engineering, and human factors, emphasizing practical implementation and strategic integration of immersive technologies. Research Affiliate, International Academy for Production Engineering (CIRP) Member, Industrial Reality Hub Member, EuroXR Association Collaborator, Fraunhofer Project Center at University of Twente He actively supervises student projects and thesis work in engineering and design, though specific student names are not listed. His grants and funding sources are not explicitly mentioned, but his affiliations suggest involvement in collaborative and applied research initiatives. He is also engaged in educational innovation, testing new teaching methods in his courses. The Virtual Reality and Smart Industry Lab, which he manages, serves as a central hub for synthetic environment research, supporting prototyping, remote collaboration, and smart industry testbed development. This lab enables experimental validation of digital systems in real-world industrial contexts.

• Comparative Linguistics
• Syntax
• Pragmatics
• +8 more

Professor Kristine Bentzen holds a position in Nordic Linguistics at UiT The Arctic University of Norway's Department of Language and Culture. Her affiliations include the AcqVA research group (Acquisition, Variation & Attrition) and involvement in projects like DASAGO (North Sami Child Language Acquisition). Her research focuses on comparative linguistics, syntax, pragmatics, and language revitalization, particularly in Sami languages. She has led projects funded by the Research Council of Norway and developed tools like the MacArthur-Bates CDI adapted to North Sami. Her work emphasizes multilingualism, child language acquisition, and the interplay between syntax and information structure. Recent studies investigate Sami language transmission across generations and the role of parental language input. She teaches Nordic linguistics, multilingualism, and Sami languages at undergraduate and postgraduate levels, including speech therapy programs. Collaborations include projects on Arctic childhood development (SamBa) and North Germanic child language syntax. Key contributions include publications on object shift in Scandinavian languages, North Sami word order variation, and bilingualism in Sami families. Her involvement in the DASAGO project (2011–2017) established a corpus of North Sami-speaking children and explored grammatical phenomena in Indigenous languages. She is currently pursuing a master's in speech therapy, aiming to bridge linguistics and clinical practice. Professional activities include podcast appearances (e.g., NRK's Språksnakk) and advisory roles in language revitalization initiatives. Her research integrates theoretical syntax with sociolinguistic applications, addressing both academic and community-driven language preservation goals.

Marc MonotView profile

Researcher

• Genomics
• Transcriptomics
• Bioinformatics
• +7 more

Marc Monot is a researcher and platform manager at the Biomics platform within the Institut Pasteur, a leading institution in microbiology and infectious diseases. He plays a central role in managing next-generation sequencing (NGS) technologies and bioinformatics resources, supporting both internal and external research teams. His work bridges technological infrastructure and scientific discovery, particularly in microbial genomics and host-pathogen interactions. His research interests span genomics, transcriptomics, bioinformatics, phage biology, Clostridioides difficile pathogenesis, single-cell analysis, and microbial biofilms . He applies high-throughput sequencing and computational tools to understand bacterial virulence, adaptation, and gene regulation. His work often involves developing and applying bioinformatics pipelines for NGS data analysis. The recent publications highlight a strong focus on microbial genomics and host-pathogen dynamics. Key themes include pathogen evolution (e.g., Listeria, Candida, C. difficile), phage biology, biofilm formation, and vaccine development . The use of advanced techniques like single-cell transcriptomics and long-read sequencing (e.g., Oxford Nanopore) is evident, reflecting a commitment to cutting-edge methodologies. His work bridges fundamental biology with potential clinical and public health applications. Marc Monot has led and contributed to significant research projects such as CDPhages – ANR JCJC and the Single Cell Transcriptomics, Epigenetics and Genomics initiative. He has also developed key bioinformatics tools like PhageTerm and COV2HTML , demonstrating expertise in both wet-lab and computational biology. He has been actively involved in training and education, organizing and teaching workshops on bacterial RNAseq and NGS data analysis, contributing to capacity building in genomics both at Institut Pasteur and internationally (e.g., in Tunis). His collaborations span multiple teams and international partners, reflecting an integrative and collaborative research approach.

Doris RosenkranzView profile

Professor

• Civic Engagement
• Volunteer Management
• Public Services
• +5 more

Prof. Dr. Doris Rosenkranz is a Professor at Nuremberg Institute of Technology in the Faculty of Social Sciences, holding the position of Spokesperson for the University Volunteering Cooperation ( www.hochschul-kooperation-ehrenamt.de ). Current institutional roles include Board membership at Zukunftsstiftung Ehrenamt Bayern and Ethics Council membership for the Bavarian State Government. She previously served as Knowledge Transfer and Technology (KTT) Representative for the Faculty of Social Sciences from 2014 to 2023. Her research centers on civic engagement and volunteer management , with specialized focus on senior cooperatives , neighborhood assistance systems , and public service resilience . She investigates structural frameworks for community-based care amid demographic shifts, emphasizing how volunteer networks strengthen social cohesion and address gaps in formal welfare systems. Her work bridges academic theory with practical implementation through policy consulting and community partnerships. Publication analysis (2012-2020) reveals three dominant threads: 1) Senior cooperatives as critical responses to aging populations (evident in BMBF and Bavarian Ministry projects), 2) Service learning as a transformative university-community engagement tool (with refugee support and nonprofit collaboration case studies), and 3) Volunteer management strategies for welfare sustainability amid demographic pressures. Her output consistently prioritizes empirical fieldwork over theoretical discourse, often resulting in practical guides for policymakers. No scientific awards were documented in the source material. Rosenkranz secures substantial institutional funding through government and foundation projects, including: BMBF "Senior Citizens' Cooperatives" (2013-2016) City of Nuremberg's "Neighborhood Help" (2017-2019) Generali Future Fund (2016) Federal Government's Second Engagement Report commission Her grant work demonstrates expertise in translating research into actionable models for municipalities and associations. She operates through project-based collaborations rather than fixed laboratories, leading initiatives like the University Volunteering Cooperation network and the "DIAB2social" project (2020-2023). Key partnerships include the Bavarian State Ministry, municipal governments (e.g., Nuremberg), and welfare organizations like the Volunteer Fire Department project (2021-2023). Her approach emphasizes real-world application through mixed academic-practitioner teams focused on social innovation.

• Public Health
• Design Research
• Co-Creation Methodologies
• +7 more

Qingfan An is a Marie Sklodowska-Curie PhD Fellow at the Department of Community Medicine and Rehabilitation, Umeå University, Sweden. Their work focuses on co-creation methodologies in public health, particularly for chronic disease management and digital health interventions. They hold an MRes in Design from Royal College of Art (UK) and a BEng in Industrial Design from the University of Liverpool (UK). Education: MRes Design, Royal College of Art, UK BEng Industrial Design, University of Liverpool, UK Research spans co-creation frameworks, transition design, and human-centered design for COPD patients. They contribute to the Health CASCADE project and the ECHO-COPD initiative (2021–2024). Publications emphasize systematic reviews, process evaluations, and sustainable mHealth solutions. Key article trends include co-creation in pulmonary care , design for patient education , systems thinking in public health , and digital health tools for chronic disease . Collaborative approaches dominate their work with stakeholders across Europe and China. Scientific Awards: Marie Sklodowska-Curie PhD Fellowship Advisory collaborations involve multidisciplinary teams in design and healthcare. Their lab work focuses on co-creation frameworks for COPD interventions through Health CASCADE and ECHO-COPD projects.

Vilelmini KalabratsidouView profile

Academic

• Wearable Computing
• Biosignals
• Cognitive Computing
• +3 more

Vilelmini Kalabratsidou is an Adjunct Lecturer at the University of the Aegean’s Department of Product and Systems Design Engineering on Syros. Her work bridges cognitive computing, wearable technology, and performing arts, focusing on designing interfaces that augment human bodily signals (e.g., heart activity) into interactive experiences. She holds a PhD in Cognitive Computing from Rutgers University (USA) and a dance degree from the Athens Conservatory. Education: PhD in Computer Science (Cognitive Computing), Rutgers University, 2018 MSc in Electronic & Computer Engineering, Technical University of Crete, 2012 Dance Diploma, Athens Conservatory Dance Department Research Interests: Wearable biosensors, real-time biofeedback systems, embodied interaction in dance, data-driven artistic creation, and neuroplasticity interfaces. Her projects often involve collaborative art-science initiatives like the Transition to 8 project, blending social data with music/visual art. Key Contributions: Developed co-adaptive interfaces using heart rate data to steer dance performances and pioneered methods for analyzing bodily signals during social interactions (e.g., sociodrama studies). Her work has been showcased at conferences like Movement and Computing (MOCO) and published in journals like Wearable Technologies and Sensors . Awards: Qualcomm Innovation Fellowship Finalist (2016), Student Entrepreneurship Grand (2011 for a one-button communication system). Labs & Collaborations: Collaborated with Rutgers’ Sensory-Motor Integration Lab, Athena Research Center, and the University of Peloponnese. Active in transdisciplinary projects fusing art, tech, and psychology.

James LandayView profile

Professor

• Human-Computer Interaction (HCI)
• Mobile & Ubiquitous Computing
• Human-Centered AI
• +4 more

James Landay is a Professor of Computer Science and the Anand Rajaraman and Venky Harinarayan Professor at Stanford University's School of Engineering. He serves as the Denning Co-Director of the Stanford Institute for Human-Centered AI (HAI). His expertise spans Human-Computer Interaction (HCI), Mobile Computing, and Human-Centered AI. Landay holds a BS from UC Berkeley (1990), and MS/PhD from Carnegie Mellon University (1993/1996). He has held roles at the University of Washington, Cornell Tech, and Intel Labs Seattle. His research focuses on behavior change technologies, user interface design, and cross-cultural interfaces. Education: BS, UC Berkeley, Electrical Engineering & Computer Science (1990) MS, Carnegie Mellon University, Computer Science (1993) PhD, Carnegie Mellon University, Computer Science (1996) Research Interests: Landay explores how technology can support health and sustainability through behavior change. His work includes tools like WhoIsZuki (narrative-based health apps) and Smart Primer (educational storytelling). He also studies workplace design impacts on well-being and drone-human interaction. Awards & Recognition: ACM Fellow (2016) ACM SIGCHI Academy Member (2011) ACM SIGCHI Lifetime Research Award Teaching & Advising: Landay teaches courses like Cross-Platform Mobile App Development (CS147L) and oversees over 20 advisees across doctoral, master’s, and undergraduate programs. His labs include collaborations with Tsinghua University’s World Lab. Labs & Projects: Leads initiatives such as the Hybrid Physical-Digital Spaces project and the Smart Primer educational tool. His work bridges academia, industry, and policy, with contributions to NSF advisory roles and startups like NetRaker.

Bogdan M. WilamowskiView profile

Professor

• Semiconductor Devices and Sensors
• Mixed Signal and Analog Signal Processing
• Computational Intelligence
• +7 more

Bogdan M. Wilamowski is a Professor and Director of the Alabama Nano/Micro Science and Technology Center (ANMSTC) at Auburn University's College of Engineering, Department of Electrical and Computer Engineering. He holds the Alumna Professor title and leads cutting-edge research in microelectronics and intelligent systems. MS in Computer Engineering, 1966 PhD in Neural Computing, 1970 Dr. Habil. in Integrated Circuit Design, 1977 Full Professor title awarded by the President of Poland, 1987 His research spans semiconductor devices and sensors, analog and mixed-signal processing, and computational intelligence. He has pioneered work in neural networks, intelligent control, and microelectronic fabrication, with applications in industrial electronics and embedded systems. His academic leadership includes editorial roles in top IEEE journals and co-editing the CRC Book Series in Industrial Electronics. The recent publications highlight a sustained focus on analog signal processing, neural networks, microelectronic fabrication, and computational intelligence. These works reflect a strong integration of theoretical development with practical engineering applications, particularly in circuit design, sensor systems, and intelligent automation. The trend shows continued innovation in both analog electronics and AI-driven microsystems. IEEE Fellow Honorary Member of the Hungarian Academy of Sciences Commander Cross of the Order of Merit of the Republic of Poland (2008) Dr. Wilamowski has advised approximately 150 graduate students and has authored 9 books and over 300 refereed publications. He has held editorial leadership as Editor-in-Chief of IEEE Transactions on Industrial Electronics (2008–2010) and IEEE Transactions on Industrial Informatics (2011–2013). His research has been supported by extensive collaborations and institutional leadership, including directing research centers at Auburn and Idaho. He has also led major professional initiatives within IEEE, contributing significantly to the global engineering community. He leads the Alabama Nano/Micro Science and Technology Center (ANMSTC), a multidisciplinary research hub focused on advancing microelectronics, nanotechnology, and intelligent systems. The center fosters collaboration across academia and industry, supporting innovation in semiconductor devices, analog circuits, and computational intelligence applications.

• Marketing Analytics
• Data-Driven Design
• Preference Measurement
• +7 more

Ryan Dew is an Assistant Professor of Marketing and the Govil Family Faculty Scholar at the Wharton School of the University of Pennsylvania. He is affiliated with the Wharton AI and Analytics Initiative, Wharton Human-AI Research, and the Penn Eidos LGBTQ+ Health Initiative. His research bridges marketing, data science, and machine learning, with a focus on developing interpretable computational tools for customer analytics and design. Research Interests: His work centers on marketing analytics, data-driven design, preference measurement, and decision support. He leverages Bayesian nonparametrics, deep generative models, and representation learning to analyze unstructured data (e.g., text, images) in marketing contexts such as branding, logo design, and influencer selection. His methodological approach emphasizes flexibility and interpretability in modeling consumer behavior. The recent publications reflect a strong trend toward integrating AI and machine learning into core marketing problems—particularly in customer segmentation, product design, and influencer marketing. There is a clear emphasis on adaptive systems, dynamic modeling, and the use of rich data sources to enhance decision-making. Scientific Awards: 2022 Frank M. Bass Award 2018 INFORMS SMS Doctoral Dissertation Award 2018 ASA Marketing Section Doctoral Research Award Finalist, 2019 Frank M. Bass Award Finalist, 2020 Paul Green Award Finalist, 2022 John D.C. Little Award 2023 MSI Young Scholar Wharton School's 2024-2025 Govil Family Faculty Scholar Wharton Teaching Excellence Award Advising and Grants: Ryan Dew teaches PhD and MBA courses including MKTG9570 (Empirical Models in Marketing) and MKTG7120 (Data & Analysis for Marketing Decisions). He advises PhD students through dissertation supervision (MKTG9950) and independent study. He co-organizes a cross-school virtual reading group on probabilistic ML and Bayesian computation for junior faculty and PhD students, indicating active mentorship and collaboration. While specific grants are not listed, his research awards and scholar designation suggest competitive funding support. Labs and Teams: He is actively involved in the Wharton AI and Analytics Initiative and Wharton Human-AI Research, suggesting participation in interdisciplinary research teams focused on AI applications in business. His collaborations span multiple institutions and disciplines, including psychology, computer science, and statistics.

• Multisensory Perception
• Physiological Computing
• Neurofeedback
• +5 more

Aleksander Väljamäe is an Associate Professor in Physiological Computing at Tallinn University's School of Digital Technologies (HCI group) and a Grant Consultant at Tartu University. His research focuses on multisensory perception, physiological computing, and neurofeedback applications in brain disorders, BCI, and neurocinema. He has held postdoctoral roles at institutions like Pompeu Fabra University and Graz University, and was a Marie Skłodowska-Curie Fellow (2013–2015). He actively participates in EU projects (e.g., Future BNCI) and art-science collaborations, such as the Multimodal Brain Orchestra. His administrative roles include chairing Tallinn University’s internal research committee and advising for the European Commission and Italian Ministry of Health. Education: PhD in Applied Acoustics (Chalmers University, 2007) M.Sc. in Digital Communication (Chalmers, 2003) BSc in Radio Engineering (Tallinn University of Technology, 2000) Research Interests: Developing novel methods for diagnosing brain disorders (e.g., depression, migraine) using audiovisual media and BCI. Explores wearable technologies, affective computing, and the psychophysiology of emotion. Recent projects include SoniWeight Shoes (2024) and Magic Lining (2019), which investigate body-perception modulation via wearable devices. Grants & Awards: Marie Skłodowska-Curie International Outgoing Fellowship (2013–2015). Active in EU-funded initiatives like POEMS and BrainAble. Labs/Teams: Leads the HCI group at Tallinn University, collaborating with institutions globally. Co-developed the eXperience Induction Machine for mixed-reality interaction studies.

• VLSI Systems
• Analog Signal Processing
• Optoelectronic Systems
• +7 more

Valencia Joyner Koomson is an Associate Professor in the Department of Electrical and Computer Engineering at Tufts University’s School of Engineering. She also holds concurrent appointments in the Tisch College and the Department of Computer Science. Her primary affiliation is with the Advanced Integrated Circuits and Systems Lab, where her research focuses on silicon-based VLSI systems, optoelectronic integration, and biomedical imaging applications. Dr. Koomson received her Ph.D. from the University of Cambridge and previously worked at the University of Southern California’s Information Sciences Institute (USC/ISI), specializing in radiation-hardened VLSI systems for military and aerospace applications. Her academic journey includes a B.S. and M.Eng. from MIT, followed by a Marshall Scholarship and Intel Foundation support. She has held visiting professorships at MIT, Boston University, and Rensselaer Polytechnic Institute. Notable awards include the NSF CAREER Award and recognition as a National Science Foundation Graduate Research Fellow. Research interests span mixed-mode VLSI systems (analog/digital/optical), optoelectronic system-on-chip integration, and applications in medical imaging and optical wireless communication. Her lab develops wearable health monitoring devices, including the AHOMKA hypertension management platform for Ghana. Recent work includes miniaturized NIRS instruments, microfluidic devices for cell analysis, and millimeter-wave circulators in CMOS. Dr. Koomson has authored over 85 publications and secured grants from NIH, NSF, and industry partners. Current projects include mHealth platforms, noninvasive brain stimulation systems, and culturally adapted healthcare solutions. She actively mentors graduate students in interdisciplinary research combining electrical engineering with biology and public health. Grants: Over 39 funded projects, including NIH’s AHOMKA initiative and NSF’s HDR Tripods Center. Labs: Advanced Integrated Circuits and Systems Lab (AICS Lab) with collaborators in biomedical and materials sciences. Teaching: Courses on VLSI design, digital electronics, and wearable systems.

• Human-Computer Interaction
• Virtual Reality
• Mixed Reality
• +5 more

Tovi Grossman is a prominent researcher in Human-Computer Interaction, Virtual Reality, and Artificial Intelligence. His work focuses on user interface design, error mediation in immersive environments, and AI-assisted programming education. Research Trends: His recent publications explore multimodal interaction techniques in VR, AI-generated code scaffolding for novices, and mixed reality systems for collaborative tasks. Key themes include: Context-aware interfaces Gaze and gesture input systems LLM integration in educational tools 3D spatial navigation and telepresence Collaborative Work spans institutions and disciplines, with recurring partnerships in VR design, robotics, and educational technology.