Find Academic Supervisors

• Consumer Behavior
• Consumer Culture Theory
• Services Marketing
• +3 more

Assoc Prof Siok Kuan Tambyah is an Associate Professor at the National University of Singapore (NUS) Business School and a Fellow at The College of Alice & Peter Tan, NUS. She holds a PhD in Business from the University of Wisconsin-Madison. Her research focuses on consumer behavior, consumer culture theory, services marketing, and happiness/quality-of-life studies. She has authored/co-authored five books and numerous articles in leading journals such as the Journal of Consumer Research and Journal of Service Research . Her teaching spans undergraduate and graduate levels, including courses on Principles of Marketing, Consumer Behavior, and The Pursuit of Happiness. She has supervised over 60 undergraduate research projects and advised two PhD students. Her pedagogical research emphasizes interdisciplinary learning and residential college environments, highlighted in works like Student Growth and Development in New Higher Education Learning Spaces . A/P Tambyah’s work on Singapore’s quality of life and well-being has positioned her as a leading expert. Key publications include Happiness and Wellbeing in Singapore: Beyond Economic Prosperity (2023) and Drivers of Sustainability and Consumer Well-Being (2022). Her research often bridges consumer behavior with societal issues, such as immigrant inclusion and economic hardship impacts. She is an award-winning educator, recognized for innovative teaching methods in residential colleges and executive education programs. Her contributions to interdisciplinary learning and community engagement are further detailed in her writings on reflective practices and community-based research models.

Glenn R SharmanView profile

Associate Professor

• Sedimentary Geology
• Stratigraphy
• Petroleum Geology
• +7 more

Glenn R Sharman is an Associate Professor in the Department of Geosciences at the University of Arkansas, College of Arts & Sciences. His research integrates sedimentary geology, stratigraphy, and petroleum geology to explore sediment routing systems shaped by tectonic and climatic processes. Sedimentary Rocks & Fossils (2019-2020) Sedimentary Geology (2021) Petroleum Geology (2017, 2019) Field Camp (2018, 2021) Sedimentary Petrology (2020, 2021) Imperial Barrel Award (2019) His work examines clastic sedimentary systems across spatial and temporal scales, focusing on Earth history transitions like the end Triassic and Paleocene-Eocene boundary. He leads the Detrital Geochronology Laboratory (DGL), an industrial affiliates program for global provenance datasets in source-to-sink frameworks. Research highlights include collaborations with Devon Energy on 3D digital outcrop modeling for reservoir characterization. Recent publications coauthored with Sam Johnstone in Earth and Planetary Science Letters emphasize sediment unmixing techniques using detrital geochronology. His group's work intersects with modern sediment routing systems, numerical modeling, and societal challenges like anthropogenic climate change. Dr. Sharman supervises M.S. and Ph.D. students and has mentored researchers such as Ben Howard (Terra Nova) and Isaac Johnson (JGR Earth Surface), who applied machine learning to predict fluvial sand composition.

Dina El-ZanfalyView profile

Assistant Professor

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +5 more

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

Cleotilde GonzalezView profile

Research Professor

• Decision Science
• Cognitive Psychology
• Human-Computer Interaction
• +5 more

Cleotilde (Coty) Gonzalez is a Research Professor of Decision Sciences at Carnegie Mellon University, with primary affiliation in the Department of Social and Decision Sciences (SDS). She serves as the Founding Director of the Dynamic Decision Making Laboratory (DDMLab) and Research Co-Director of the NSF National Institute for AI for Societal Decision Making (AI-SDM). Her extensive academic affiliations include the Security and Privacy Institute (CyLab), the Societal Computing program in the Software and Societal Systems Department (S3D), the Human-Computer Interaction Institute (HCII) in the School of Computer Science, and the Center for Behavioral Decision Research (CBDR) and Center for Neural Basis of Cognition (CNBC). Dr. Gonzalez holds a Ph.D. in Management Information Systems and has developed Instance-Based Learning Theory (IBLT), a significant contribution to cognitive science that explains how people make decisions based on past experiences. Her research spans experimental studies and computational modeling of cognitive processes in dynamic decision environments, with applications in cybersecurity, human-machine teaming, and societal decision making. Her recent publications reveal a strong focus on human-AI collaboration, collective intelligence, cybersecurity, and cognitive modeling. The research trends show increasing integration of AI systems with human decision processes, particularly examining how humans and AI can complement each other in complex decision environments. Her work increasingly addresses cybersecurity challenges through behavioral science perspectives, exploring how cognitive models can improve defense mechanisms against social engineering attacks. Lifetime Fellow of the Cognitive Science Society Lifetime Fellow of the Human Factors and Ergonomics Society Member of the Governing Board of the Cognitive Science Society Member at Large of the Policy Council of the System Dynamics Society Committee member of the National Academies Division Committee for the Behavioral and Social Sciences and Education Dr. Gonzalez has mentored over 50 post-doctoral fellows and doctoral students, with many going on to successful careers in academia, government, and industry. Her research has been supported by major collaborative efforts including Collaborative Research Alliances (CRA) and Multi-University Research Initiative grants from the Army Research Laboratories (ARL) and Army Research Office (ARO), as well as projects with the Defense Advanced Research Projects Agency (DARPA). She directs the Dynamic Decision Making Laboratory, which conducts research involving laboratory experiments and cognitive computational models to derive theoretical conclusions about dynamic decision making and develop applications for societal problems.

Emma MercierView profile

Associate Professor

• Computer-Supported Collaborative Learning
• Social Interaction and Learning
• Classroom Technology
• +3 more

Emma Mercier is an Associate Professor and Associate Head & Director of Graduate Programs in the Department of Curriculum & Instruction at the University of Illinois, Urbana-Champaign's College of Education. She also holds a secondary appointment in the Department of Educational Psychology, demonstrating her interdisciplinary approach to educational research. Dr. Mercier's research focuses on the relationship between social interaction and learning, with particular emphasis on collaboration and computer-supported collaborative learning (CSCL) in classroom settings. Her work examines how technology influences group interactions and learning, especially through the use of multi-touch tables in classrooms. She investigates between-group and whole-class interactions, device ecologies, teacher tools, and classroom contexts that shape learning opportunities in technology-enhanced environments. Her research spans K-12 and higher education settings, with significant contributions to engineering education and the design of collaborative learning spaces. Analysis of Dr. Mercier's recent publications reveals a strong focus on orchestration tools that support instructors in facilitating collaborative learning, the role of technology (particularly augmented and virtual reality) in collaborative problem solving, and the design of effective collaborative tasks in engineering education. Her work bridges educational theory with practical classroom applications, often employing design-based implementation research methodologies. A notable trend is her increasing focus on machine learning applications to analyze and support collaborative interactions in real-time classroom settings. Dr. Mercier has been actively involved in mentoring graduate students and teaching courses related to educational research methods, child development and technology, and advanced study of education. Her work has involved significant collaboration with researchers across institutions and disciplines, particularly in the fields of educational technology, learning sciences, and engineering education. Her research has been supported through various projects, including the CSTEPS (Collaborative Support Tools for Engineering Problem Solving) initiative, which has developed and evaluated tools to support collaborative learning in engineering classrooms. This work has involved partnerships with teaching assistants, course assistants, and faculty to implement and refine collaborative learning approaches in undergraduate engineering courses.

Berit GreinkeView profile

Assistant Professor

• Wearable Computing
• Electronic Textiles (E-Textiles)
• Smart Materials
• +4 more

Berit Greinke is an Assistant Professor of Wearable Computing at the Berlin University of the Arts (UdK) and the Einstein Center Digital Future (ECDF) since 2018, previously serving as a researcher at UdK's Design Research Lab and DFKI (2016-2018). Her academic foundation includes a PhD from Queen Mary University of London (2017), an MA from Central St Martins (2009), and a Diploma from Weissensee Academy of Art Berlin (2007). Her educational trajectory: PhD in Media and Arts Technology, Queen Mary University of London (2017) MA in Design for Textile Futures, Central St Martins College of Art and Design (2009) Diploma in Textile and Surface Design, Berlin Weissensee School of Art (2007) Greinke's research pioneers the convergence of craft, textile design, and digital technology, with core expertise in electronic textiles and smart materials. She investigates metamaterial-based 'metatextiles' for electromagnetic applications and explores transdisciplinary collaboration between designers and scientists, particularly regarding 'negative data' in creative and scientific workflows. Her current UdK work focuses on four interconnected domains: performing materials for expressive textile/fashion design; multi-modal sensing converting visual processes into haptic/audible experiences; micro-to-macro material design spanning nanostructures to final products; and transdisciplinary processes for technology-art-science collaboration. Analysis of her 2020-2025 publications reveals dominant trends in sustainable textile electronics, with emphasis on knitted/folded sensor structures, origami-inspired capacitive shape estimation, and social sustainability in e-textile communities. Her work uniquely bridges fundamental material science (e.g., textile metamaterials) with artistic applications (e.g., interactive orchestra garments) and industrial production challenges. Berit Greinke supervises PhD students including Giorgia Petri. Her junior professorship is co-financed by SAP under a public-private partnership model, supporting projects like WEAR (Wearable technologists engage with artists for responsible innovation) and STELEC (Sustainable Textile Electronics), which emphasize ethical co-design and industry-academia collaboration. She leads research within UdK's Institute for Product and Process Design and collaborates with the Design Research Lab (formerly part of Connected Textiles group), focusing on sustainable industrial production of electronic clothing and transdisciplinary innovation frameworks.

Alessandra Maria Paola BroccoliniView profile

Associate Professor

• Cultural Anthropology
• Intangible Cultural Heritage
• Museology
• +5 more

Alessandra Maria Paola Broccolini is an Associate Professor at the Department of Social and Economic Sciences (DISSE), Sapienza University of Rome. She specializes in cultural anthropology, with a focus on intangible cultural heritage, ecomuseums, and urban/rural territorial studies. Since 2016, she has led the Italian Society for Museography and Demo-Ethno-Anthropological Assets (SIMBDEA) and coordinates national research projects like PRIN 2022 on local museums and PRIN 2020 on marginal Italian territories. Current affiliations: Sapienza University of Rome, Ecole Française de Rome [2021-2026] Research themes: Identity politics, festivals/rituals, traditional knowledge, migration-heritage intersections Key projects: Ecomuseo Casilino Ad Duas Lauros, UNESCO cultural heritage nominations Fieldwork: 5-year study in Naples' Pallonetto district (1994-1999), Bolsena Lake fisheries, Irpinia carnivals Collaborations: ICCD, Regione Lazio, Universidad de Huancayo (Peru) Her publications address heritage regimes in Italy, UNESCO's 2003 Convention implementation, and ethnographic case studies on Mediterranean festivals, urban ecomuseums, and agricultural biodiversity. She teaches Cultural Anthropology and Anthropology of Territory at Sapienza's Faculty of Political Science, Sociology, and Communication.

Mary-Louise TimmermansView profile

Professor

• Arctic climate
• Physical oceanography
• Arctic Ocean heat storage
• +6 more

Mary-Louise Timmermans serves as the Damon Wells Professor of Earth and Planetary Sciences and Director of Graduate Studies at Yale University's Faculty of Arts and Sciences. Her research focuses on Arctic climate dynamics and physical oceanography, where she has established herself as a leading expert in Arctic Ocean processes. Dr. Timmermans' research interests center on Arctic climate systems, particularly physical oceanography of the Arctic Ocean, heat and freshwater storage and transport mechanisms, ocean mixing processes, and eddy and wave dynamics. Her work examines how these processes interact with and respond to climate change, with particular attention to the Canada Basin and Beaufort Gyre regions. She employs both observational data from projects like the Ice-Tethered Profilers and theoretical modeling approaches to understand complex Arctic oceanographic phenomena. Her recent publications reveal a strong focus on Arctic Ocean dynamics under climate change, with particular attention to sea ice volume changes, freshwater content increases, and biogeochemical processes. Her work frequently appears in high-impact journals including Journal of Geophysical Research and Geophysical Research Letters, and she regularly contributes to major climate assessment reports such as the NOAA Arctic Report Card and the American Meteorological Society's State of the Climate reports. Her research demonstrates increasing attention to carbon cycle dynamics and potential climate engineering applications in polar regions. Dr. Timmermans actively mentors a large research group consisting of PhD students, postdoctoral associates, and undergraduate researchers working on diverse aspects of Arctic climate science. Her students pursue projects ranging from sea ice dynamics to ocean biogeochemistry and fluid dynamics modeling. She also serves on the Geophysical Fluid Dynamics Summer Program, providing training opportunities for the next generation of oceanographers. She leads and participates in several major Arctic research initiatives including the Sea-Ice MURI, Ice-Tethered Profilers program, Beaufort Gyre Exploration Project, and contributes to the NOAA Arctic Report Card. Her laboratory utilizes data from ice-tethered profilers, satellite observations, and numerical models to investigate Arctic Ocean processes across multiple spatial and temporal scales.

Eduardo Mercado IIIView profile

Professor

• Bioacoustics
• Cognitive Psychology
• Marine Ecology
• +5 more

Eduardo Mercado III is a Professor in the Department of Psychology at the University at Buffalo, College of Arts and Sciences. His research focuses on bioacoustics, cognitive psychology, and marine ecology, particularly the vocal behavior of humpback whales and its implications for understanding human impact on marine ecosystems. He is also known for his work in perceptual learning, autism spectrum disorder, and comparative cognition. Scientific Awards Guggenheim Fellowship Harvard Radcliffe Institute Fellowship Research Trends His recent publications emphasize bioacoustic analysis of humpback whale songs, including their spectral entropy, cyclical variations, and adaptive adjustments to anthropogenic noise. Additional work explores perceptual learning mechanisms in autism, neural network modeling for acoustic classification, and cognitive processes in canines and rodents. Projects Mercado’s “Singers as Sentinels” project combines acoustic analysis of humpback whale songs with public awareness initiatives about ocean noise pollution. The project will produce a book, Why Whales Sing and Dolphins Don’t , and a web-based interface for public engagement.

Arie E. KaufmanView profile

Professor

• Computer Graphics
• Visualization
• Virtual Reality
• +4 more

Arie E. Kaufman is a Distinguished Professor in the Department of Computer Science at Stony Brook University, serving as Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT) and Director of the Center of Visual Computing (CVC). He additionally holds a Distinguished Professorship in Radiology, with a 40+ year career at Stony Brook since joining in 1985 and chairing the CS department from 1999-2009. His seminal research spans computer graphics, visualization, and virtual reality with biomedical applications, pioneering breakthroughs including 3D Virtual Colonoscopy (FDA-approved colon cancer screening), Cube hardware architectures (commercialized as VolumePro), the Reality Deck (1.5 billion-pixel immersive display), and foundational work in volume visualization. His interests focus on real-time rendering, medical imaging, and immersive analytics, with recent work integrating machine learning for healthcare and environmental risk visualization. Recent publications demonstrate continued leadership in high-resolution immersive displays (Silo), XR analytics with LLMs, storm surge visualization, and neural reconstruction techniques. His work bridges theoretical innovation with practical applications, particularly in pancreatic cancer prognosis and disaster preparedness. Major honors include: IEEE Visualization Career Award (2005) Fellow of the National Academy of Inventors (2017) ACM Fellow (2009) IEEE Fellow (1998) Long Island Technology Hall of Fame (2013) European Academy of Sciences membership (2002) As PI on 100+ research grants, Kaufman's work has generated 300+ refereed papers, 40+ patents, and extensive media coverage (New York Times, Science, Wall Street Journal). He leads the Center of Visual Computing with focus on translational research, including VolVis software (5,000+ installations) and Reality Deck deployments for big data analytics. His lab develops cutting-edge visualization infrastructure for medical diagnostics and environmental modeling, with current projects advancing immersive storm surge analytics, neural structure extraction, and VR-based risk communication systems. Future work emphasizes AI-enhanced visualization for precision medicine and climate resilience planning.

Antonella PoggiView profile

Associate Professor

• Database Theory
• Data Integration and Exchange
• Knowledge Representation and Reasoning
• +7 more

Antonella Poggi is an Associate Professor in the Department of Computer, Control and Management Engineering (DIAG) at Sapienza University of Rome, holding the position in Computer Science and Engineering (IINF-05/A). She recently obtained the National Scientific Qualification as full professor in July 2024. Her research interests include: Database theory, data integration, and exchange Knowledge representation and reasoning Ontologies, knowledge graphs, and Description Logics Data governance and personal information management Metamodeling and semi-structured data Recent publications (2021-2025) demonstrate a consistent focus on ontology-based data access, with key contributions in query answering, data abstraction, and knowledge graph semantics. Her work bridges theoretical foundations with practical applications, as evidenced by co-founding OBDA Systems Srl. Dr. Poggi has led the MODEUS research project (MIUR SIR) and participated in international collaborations. She is an active member of the academic community, serving as General Chair for IRCDL 2024 and CIKM 2026, and Program Co-Chair for multiple conferences including KEOD and ODOCH. Her academic service includes extensive program committee memberships for top conferences (ICDT, EDBT, AAAI, etc.) and leadership in organizing workshops and conferences in digital libraries and knowledge engineering.

Facundo M. FernandezView profile

Professor

• Analytical Chemistry
• Bioanalytical Mass Spectrometry
• Ambient Sampling/Ionization
• +4 more

Facundo M. Fernandez is a Regents' Professor and Vasser-Woolley Chair in Bioanalytical Chemistry at the Georgia Institute of Technology, where he leads the Fernandez Research Group within the School of Chemistry and Biochemistry in the College of Sciences. His research spans multiple cutting-edge areas of analytical chemistry with significant applications in medicine, forensics, and basic science. Dr. Fernandez earned his M.Sc. in Chemistry (1996) and Ph.D. in Analytical Spectrometry/Metallomics (1999) from the Facultad de Ciencias Exactas y Naturales at Buenos Aires University, Argentina. His research program focuses on Bioanalytical Mass Spectrometry with particular emphasis on Ambient Sampling/Ionization & Molecular Imaging, Ion Mobility Spectrometry, Metabolomics, and Pharmaceutical Forensics. His work has pioneered new approaches in ambient ionization techniques that enable direct analysis of complex samples without extensive preparation. His recent publications reveal a strong trend toward spatial metabolomics, particularly in traumatic brain injury and ovarian cancer research, with increasing integration of machine learning approaches for data analysis. His work also extends to pharmaceutical quality control, exercise physiology through the MoTrPAC consortium, and prebiotic chemistry investigations. The interdisciplinary nature of his research is evident in collaborations across Georgia Tech's campus and with external institutions. NSF CAREER Award (2007) 3M Non-tenured Faculty Award (2008) CETL/BP Junior Faculty Teaching Excellence Award (2009) Ron A. Hites Award for Outstanding Research Publication (2010) Sigma Xi (GT Chapter) Best Faculty Paper Award (2010) Vasser-Wooley Faculty Fellow (2012) Dr. Fernandez has secured significant funding for his research, including NSF CAREER support, and leads projects related to metabolomics for ovarian cancer detection, pharmaceutical forensics through the CODFIN network, and participation in the large-scale Molecular Transducers of Physical Activity Consortium (MoTrPAC). His laboratory develops advanced instrumentation for mass spectrometry applications and maintains strong collaborations with the Integrated Cancer Research Center, the College of Computing, and the Center for Chemical Evolution at Georgia Tech.

Carsten SieversView profile

Adjunct Professor

• Heterogeneous Catalysis
• Biomass Conversion
• Reactor Design
• +5 more

Carsten Sievers serves as Adjunct Professor in the Department of Chemical and Biomolecular Engineering at Georgia Institute of Technology, where he leads research in sustainable catalytic processes for fuel and chemical production from alternative resources. His work bridges fundamental spectroscopy with industrial reactor design to address petroleum dependence. Education: Diploma, Technical University of Munich, Germany (2003) D.Sc., Technical University of Munich, Germany (2006) Research Focus: Sievers' program integrates fundamental studies using IR, NMR, XAS, and Raman spectroscopy to probe catalyst structure-reactivity relationships with applied research on flow reactor systems for biomass conversion (hydrodeoxygenation, sugar upgrading) and mechanocatalytic polymer depolymerization. Key initiatives target CO 2 -neutral chemical production from biomass and waste plastics, emphasizing catalyst stability and regeneration. Publication Trends: Recent work (2023-2025) reveals a strategic pivot toward mechanocatalysis for plastic recycling (polyethylene, polystyrene) and ammonia synthesis, while maintaining expertise in hydrocarbon catalysis. Dominant themes include reaction environment engineering in ball mills, metastable surface characterization, and process intensification for CO 2 electrolysis. Scientific Recognition: 2012 Young Scientist Award, International Congress on Catalysis 2023 ACS Fellow designation Academic Leadership: As Director and Past President of the Southeastern Catalysis Society, former ACS Division Director, and Editor of Applied Catalysis A: General , Sievers shapes catalysis research direction. His Sievers Group has secured competitive fellowships for students like Yuchen George Change (Eastman Chemical Fellowship) and Victor Brandão (Ziegler Award), reflecting strong mentorship in sustainable reaction engineering. Research Infrastructure: The group operates advanced flow reactors, spectroscopic characterization suites, and mechanochemical systems for in-situ catalyst analysis, supporting collaborations with industry partners on technology translation.

• Optical fiber communication
• Space-division multiplexing (SDM)
• Wavelength-division multiplexing (WDM)
• +5 more

Itsuro Morita is Professor in the School of Fundamental Science and Engineering, Faculty of Science and Engineering, Waseda University, Tokyo. Before joining Waseda in 2022 he spent 23 years at KDDI R&D Laboratories, advancing from researcher to executive research fellow, and has been a visiting researcher at Stanford University. He is an IEEE Fellow and IEICE Fellow recognized for pioneering large-capacity, long-haul optical transmission systems. Education: 2004 – 2005 Tokyo Institute of Technology, Graduate School of Science & Engineering, Department of Electrical and Electronic Engineering (Doctoral coursework) 1990 – 1992 Tokyo Institute of Technology, Graduate School of Science & Engineering, Department of Physical Electronics (M.E.) 1986 – 1990 Tokyo Institute of Technology, School of Engineering (B.E.) Research Interests: Morita’s work sits at the intersection of optical fiber communication and software-defined networking. He explores ultra-high-capacity transmission via space-division multiplexing (multi-core/few-mode fibers), real-time MIMO digital signal processing for modal crosstalk mitigation, and SDN/NFV orchestration of disaggregated optical networks. Additional interests include quality-of-transmission estimation using machine learning, telemetry-enabled control planes (gRPC/gNMI), and metro-embedded edge/cloud architectures for IoT services. Publication Trends: Recent articles emphasize two converging themes: (i) petabit-per-second SDM/WDM experiments using novel fiber geometries and real-time DSP, and (ii) cloud-native SDN control frameworks that integrate machine-learning-based QoT prediction, YANG/NETCONF modeling, and open APIs (TAPI/OpenConfig) for multi-domain, partially disaggregated networks. These works collectively push both the physical capacity frontier and the agility of next-generation optical infrastructure. Scientific Awards: C&C Prize 2024 (NEC C&C Foundation) – contributions to WDM optical submarine cable systems IEICE Achievement Award 2021 – pioneering research on 10-Pbit/s ultra-large-capacity SDM transmission Telecom System Technology Award 2021 – 10.16-Pbit/s dense SDM/WDM transmission record IEEE Fellow (2021) – contributions to large-capacity high-speed transmission systems IEICE Fellow (2020) – research on trans-oceanic high-speed optical signal transmission Ichimura Industrial Award – Contribution Prize 2018 – development of terabit-class submarine cable systems Maejima Hisoka Award 2012 – proposal and demonstration of distributed-control soliton communication Minister of Economy, Trade and Industry Award for Advanced Technology 2006 – 160 Gbit/s ultra-high-speed optical transmission technology Advising & Grants: At Waseda University Morita advises graduate students on experimental photonic networking and leads externally funded projects on petabit SDM transmission and SDN orchestration. While specific grant numbers are not disclosed, his continuous industry-university collaborative testbeds (with KDDI, CTTC, and others) indicate substantial competitive funding. Labs & Teams: He heads the Optical Space-Division-Multiplexing Laboratory at Waseda, maintaining joint experimental facilities with KDDI Research and international partners (e.g., CTTC, Spain). The group operates real-time coherent MIMO testbeds, multi-domain SDN controllers, and fiber-level SDM prototypes capable of petabit-per-second demonstrations.

Rachael BayView profile

Associate Professor

• Evolutionary Biology
• Ecology
• Genomics
• +4 more

Rachael Bay is an Associate Professor in the Department of Evolution and Ecology at the University of California, Davis. She investigates how human-induced environmental changes intersect with evolutionary processes, focusing on climate change impacts across diverse species. Education: B.S. in Marine Science/Biology, University of Miami (2008) M.Sc. in Biology, Dalhousie University (2010) Ph.D. in Biology, Stanford University (2015) Her research combines ecological experiments, physiological studies, and large-scale genomic analysis to explore evolutionary responses to anthropogenic stressors. Key areas include climate adaptation in migratory birds, coral resilience, and conservation genomics. Recent publications highlight genomic shifts linked to climate change, thermal tolerance mechanisms in corals, and migratory behavior dynamics. Her work emphasizes using evolutionary insights for proactive conservation strategies. Scientific Awards: Packard Fellowship (2021) Sloan Fellowship (2019) UC Davis Top Safety Award (2022) Bay is affiliated with the Center for Population Biology and graduate groups in Integrative Genetics & Genomics and Population Biology. She leads the Bay Lab, which focuses on eco-evolutionary dynamics in marine and avian systems.