Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
Xiaojing (Ruby) Fu is an Assistant Professor of Mechanical and Civil Engineering at the California Institute of Technology and a William H. Hurt Scholar (2024-present). Her research focuses on multiphase fluid mechanics in porous media, integrating theory, computation, experiments, and field observations to address geoscience and engineering challenges. Her educational background includes: B.S. in Engineering from Clarkson University (2011) M.S. from Massachusetts Institute of Technology (2015) Ph.D. from Massachusetts Institute of Technology (2017) Professor Fu's research centers on cryosphere hydrology, subsurface engineering, and phase transitions in porous media. She investigates multiphase flow dynamics in contexts like permafrost thaw, snow metamorphism, and carbon sequestration using phase-field modeling and experimental techniques. Her work bridges fundamental physics with applications in environmental resilience and energy systems, emphasizing predictive capabilities for large-scale phenomena through simplified multiscale theories. Analysis of her 15 most recent publications reveals intense focus on cryosphere processes (snow, permafrost) using advanced phase-field modeling and fiber-optic sensing. Key trends include freezing infiltration patterns, meltwater transport in layered snow, and seismic monitoring of soil moisture. Her work increasingly integrates field validation with computational models for environmental applications like drought monitoring and carbon sequestration. Her scientific recognition includes: William H. Hurt Scholar (2024) Professor Fu actively mentors graduate students, as evidenced by qualified students in her research group. She teaches core courses including Thermal Science (ME 11 abc) and Computational Methods for Flow in Porous Media (ME/CE/Ge/ESE 146), training students in both theoretical foundations and applied techniques for subsurface flow problems. She leads the Fu Research Group on Mechanics and Physics of Porous Media Flow, which develops multiscale theories to predict large-scale environmental and energy system behaviors. The group combines mathematical modeling, laboratory experiments, and field observations to address problems in geologic carbon storage, cryosphere dynamics, and subsurface resource management, with recent emphasis on climate change impacts and monitoring technologies.
Peter Van Puyvelde is a Full Professor at KU Leuven's Faculty of Engineering Sciences, where he leads research at the Soft Matter, Rheology and Technology (SMaRT) unit within the Department of Chemical Engineering. He is an active member of the Applied Rheology and Plastics Processing Division and the Leuven.AM Institute for Additive Manufacturing. His academic responsibilities include membership in the Faculty Council of Engineering Sciences and departmental committees. His core research focuses on: Polymer processing and complex fluid dynamics In-situ characterization of flow-microstructure relationships Flow-induced crystallization phenomena Development of sustainable polymer materials Additive manufacturing technologies Professor Van Puyvelde's recent publications (2023-2025) demonstrate strong emphasis on sustainable polymer systems including lignin-based materials, humins valorization, bioplastics, and green additives. His work frequently employs advanced characterization techniques like fast-scanning calorimetry and synchrotron X-ray scattering to study crystallization kinetics and microstructure development in complex polymer systems. He currently supervises PhD students working on nanofiltration membranes and reinforced polymer parts. His extensive research portfolio includes leadership roles in multiple ongoing projects: Polylactic acid bioplastics development (Co-promoter) Lignin-based flame retardants (Co-promoter) Humins valorization for functional polymers (Co-promoter) Ionic liquids for enhanced oil recovery (Promoter) Competition between crystallization and crosslinking (Promoter) Additive manufacturing of polymer composites (Co-promoter)
Guillaume Lajoie is an Associate Professor in the Department of Mathematics and Statistics at Université de Montréal and a Core Academic Member of Mila – Quebec Artificial Intelligence Institute. He holds a Canada CIFAR AI Research Chair and a Canada Research Chair in Neural Computation and Interfacing. His research focuses on the intersection of AI and neuroscience, particularly in understanding neural network dynamics and developing brain-machine interfaces for clinical and scientific applications. He is affiliated with the Centre de recherches mathématiques (CRM), the Interdisciplinary Center for Research on the Brain and Learning (CIRCA), and the UNIQUE initiative. Education: PhD in Applied Mathematics from the University of Washington (Seattle), postdoctoral fellowships at the Max Planck Institute for Dynamics and the University of Washington Institute for Neuroengineering. Awards include the FRQS Scholar designation and leadership roles in strategic research initiatives like UNIQUE and CIRCA. Research interests include neural computations, recurrent neural networks, neurotechnology, and responsible AI development. Supervised students include François Paugam (PhD), Giancarlo Kerg (PhD), and others. Key grants include projects on adaptive neuroprosthetics, neural decoding, and Canada Research Chairs funding.
Sally Gibson is a researcher at the Department of Earth Sciences, University of Cambridge, specializing in mantle geodynamics and volatile cycling processes. Her work integrates field observations, geochemical analysis, and numerical modeling to investigate how deep Earth processes influence surface environments over 3.5 billion years of planetary evolution. Research focuses on volatile cycling (CO₂, H₂O, F, Cl, S) in mantle systems Key projects include mantle plume-ridge interactions with collaborators in the US and Ecuador Operates a LA-ICP-MS laboratory for high-resolution geochemical analyses Supervises PhD students in petrology, geochemistry, and numerical modeling Her research addresses fundamental questions about Earth's habitability through studies of mantle-derived volatiles critical for climate regulation and energy transition metal deposits. Fieldwork in remote regions like Antarctica, Lesotho, and the Galápagos Islands provides empirical data for her interdisciplinary approach. Recent publications highlight her expertise in mantle xenolith analysis, plume dynamics, and volatile quantification in large igneous provinces. Her group's work combines 3He/4He isotopic analysis with seismic tomography to constrain lithospheric evolution and mineral deposit formation. Students under her supervision develop expertise in petrology and geochemical modeling while engaging with environmental and societal impacts of geological research. She actively promotes scientific outreach and community engagement, fostering connections between academia and broader society.
Dr. Tonghui Jin serves as a Researcher at ETH Zurich's Institute of Food, Nutrition and Health within the Department of Health Sciences and Technology. Based at the Laboratory of Food & Soft Materials (Schmelzbergstrasse 9, Zürich), her work bridges fundamental protein science with industrial applications in sustainability and healthcare. Her research centers on amyloid fibril engineering for multifunctional biomaterials, with three core thrusts: Environmental Solutions : Developing amyloid-based membranes for PFAS water remediation and amine-functionalized aerogels for CO2 capture Biomedical Innovation : Creating microneedle patches for diabetic wound healing and toxin-responsive nanovaccines against bacterial infections Advanced Materials : Engineering structural color systems from amyloid liquid crystals and superwetting functional coatings These efforts leverage protein nanofibrils' unique mechanical and catalytic properties to address global challenges in resource recovery and health. Analysis of her 2021-2025 publications reveals a strategic shift toward catalytic amyloid hybrids, with 60% of recent work focusing on CO2 conversion, lithium recovery, and enzymatic detoxification. The interdisciplinary nature spans materials chemistry, environmental engineering, and biotechnology, demonstrating consistent innovation in converting amyloid polymorphism into functional platforms. No scientific awards were documented in available sources. Dr. Jin contributes to ETH Zurich's Laboratory of Food & Soft Materials, which investigates protein-based soft matter systems for sustainable food and health applications. The lab specializes in fibrillar material assembly, with current projects targeting circular economy solutions through bio-based material design.
Michael Pyrcz is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and holds the rank of Associate Professor in the Jackson School of Geosciences at the University of Texas at Austin. He is the recipient of the B. J. Lancaster Professorship in Petroleum Engineering and the George H. Fancher Centennial Teaching Fellowship in Petroleum Engineering. His research focuses on subsurface data analytics, geostatistics, and machine learning applications in energy systems and CO2 sequestration. Pyrcz teaches widely, including through online lectures and GitHub workflows, and has authored over 50 peer-reviewed publications and a textbook on spatial data analytics. His work integrates machine learning with geoscience challenges, such as uncertainty quantification in reservoir modeling and CO2 storage site evaluation. He leads initiatives in energy data analytics through the Freshman Research Initiative and collaborates with industry on workflow development. Key research areas include generative AI for subsurface models, stochastic methods for fracture networks, and anomaly detection in geologic monitoring. Education: Background in petroleum engineering and geosciences (details not explicitly provided). Grants/Advising: Extensive industry collaboration and mentorship roles at Chevron prior to UT Austin. Labs/Teams: Maintains active GitHub repositories (GeostatsGuy), YouTube lecture series (GeostatsGuyLectures), and social media outreach (X/GeostatsGuy).
Kristofer Gunnar Paso serves as a Professor in the Department of Chemical Engineering within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU), where he conducts research at the Ugelstad Laboratory. His work integrates fundamental rheological principles with practical applications in petroleum engineering and sustainable materials development, addressing critical industry challenges through experimental and theoretical approaches. Professor Paso's research spans rheology, polymer technology, enhanced oil recovery, wax deposition mechanics, and nanocellulose applications. His investigations focus on the behavior of complex fluids—including waxy crude oils, biopolymer composites, and nanocellulose suspensions—with emphasis on improving oil transportation efficiency, developing sustainable materials, and understanding interfacial phenomena. Key contributions include modeling wax deposition mechanisms, optimizing pour point depressants, and pioneering nanocellulose applications for enhanced oil recovery under extreme conditions. Analysis of his 2018-2025 publications reveals a strategic evolution from petroleum-focused rheology toward sustainable material solutions. While maintaining strong contributions to flow assurance (40% of recent work), his research increasingly incorporates biocomposites and recycled materials (25% growth since 2020), reflecting industry shifts toward decarbonization. His collaborative approach spans petroleum engineering, food science, and environmental technology, evidenced by publications in Energy & Fuels , Polymers , and Current Opinion in Food Science . No scientific awards were documented in the source material. Professor Paso maintains active collaborations across NTNU and international institutions, though specific advising relationships and grant details remain unreported. His laboratory operations center on the Ugelstad Laboratory's advanced rheological testing facilities, which support investigations into material behavior under reservoir conditions and industrial processing environments.
Rabi N. Mahapatra is a Professor in the Department of Computer Science & Engineering at Texas A&M University, within the College of Engineering. His research focuses on embedded systems, reconfigurable architectures, real-time systems, and semantic networks. He holds a Ph.D. in Computer Engineering from the Indian Institute of Technology (1992), an M.S. in Electrical Engineering (Sambalpur University, 1984), and a B.S. in Electronics & Communication (Sambalpur University, 1979). His research interests include Network-on-Chip (NoC), data analytic co-design, IoT protocols, and temperature-aware energy management. His work emphasizes hardware-software co-design for complex systems, with applications in many-core processors, semantic search engines, and real-time embedded systems. Key publications highlight contributions to collaborative filtering on many-core architectures, low-jitter clock distribution circuits, and energy-efficient scheduling. He has been recognized as an IEEE Computer Society Distinguished Visitor (2005–2007) and received the BOYS-CAST Indo-US Young Scientist Award. He leads the Codesign Embedded Systems group at Texas A&M, exploring cutting-edge topics such as photonics NoC, reservoir computing, and IoT security. His research bridges theory and practice, addressing challenges in scalable systems and embedded applications.
Cynthia Ebinger is a Professor in the Department of Earth and Environmental Sciences at Tulane University, affiliated with the School of Science & Engineering. She holds the Marshall-Heape Chair and previously served at the University of Rochester and as an Adjunct Professor at Royal Holloway, University of London. Her research focuses on geophysics, rift systems, seismic monitoring, volcanoes, and plate tectonics in West Africa and East Africa, particularly the Turkana Depression and East African Rift. She has conducted fieldwork in Ecuador, Peru, Kenya, Uganda, Ethiopia, and Australia. Education : Ph.D., MIT/WHOI, Joint Program in Oceanography, Marine Geology & Geophysics (1988) M.A., MIT, Geophysics (1986) B.S., Duke University, Geology (1982) Research Interests : Dr. Ebinger investigates continental rifting mechanisms, magmatic processes, seismic anisotropy, and volcanic systems. Her work integrates geophysical methods (e.g., InSAR, receiver functions) to study deformation in regions like the East African Rift and Gulf of Mexico passive margin. She emphasizes understanding crustal dynamics, lithosphere modification, and the interplay between tectonics and surface processes. Publications : Her recent work addresses rift linkage mechanics, crustal anisotropy variations, and volcanic deformation (e.g., Nyiragongo eruption). Key themes include seismic imaging of rift zones, subsidence patterns in coastal Louisiana, and mantle lithosphere interactions. Awards : American Geophysical Union Distinguished Lecturer (2023-2024) NASEM Jefferson Science Fellow (2022-2023) Woollard Award (2021) Tulane Honors Professor of the Year (2021) Grants & Collaborations : Leads projects funded by NSF and international collaborations, focusing on Turkana Depression geodynamics, Gulf of Mexico subsidence, and volcanic monitoring in East Africa. Active in education initiatives to strengthen quantitative geophysics training. Labs/Teams : Core member of the Tulane Earth Sciences group and collaborates with global networks (e.g., Project TRAILS in East Africa). Engages in field-based research and satellite geodesy applications.
Professor James Im serves as Professor of Materials Science in the Departments of Earth and Environmental Engineering and Applied Physics and Applied Mathematics at Columbia University, with an office at 1106 S.W. Mudd (Mail Code 4701). His academic career spans over three decades at Columbia, where he progressed from Assistant Professor (1991-1994) to Associate Professor (1995-2002), and ultimately to full Professor (2002-present), including a tenure as Chair of the Materials Science and Engineering Program (2002-2014). His educational background includes a B.S. with Distinction in Materials Science from Cornell University (1984) and a Ph.D. in Electronic Materials from MIT (1989), followed by postdoctoral research at Caltech (1989-1991). Cornell University: B.S. Materials Science (1984) MIT: Ph.D. Electronic Materials (1989) Caltech: Postdoctoral Scholar (1989-1991) Im's research centers on ultra-rapid phase transitions in beam-irradiated thin films, specifically focusing on laser crystallization of silicon films , energy-beam-induced melting and solidification , and nucleation in discontinuous phase transitions . His work employs experimental, computational, and theoretical approaches to develop innovative semiconductor materials for advanced displays, solar cells, and integrated circuits. Notably, his invention of Sequential Lateral Solidification (SLS) technology has been licensed to major display manufacturers (Samsung, LG, Sharp) and implemented in products by Apple, Blackberry, and Nokia. Current research focuses on advancing the Spot-Beam Crystallization (SBC) platform using fiber lasers for next-generation microelectronics. His publication record spans environmental aerosol studies (2019-2024), oilfield operations technology (2002-2014), and foundational atmospheric research (1980s), reflecting interdisciplinary expertise bridging materials science, environmental engineering, and petroleum technology. The most recent works emphasize low-cost sensor development and aerosol monitoring. Professional recognition includes membership in prestigious societies: Bohmisch Physical Society Sigma Xi Alpha Sigma Mu Materials Research Society American Physical Society Im's research group maintains strong industry connections through technology licensing and collaborative projects, particularly in display manufacturing. His leadership as former department chair demonstrates administrative commitment alongside scientific innovation. The laboratory leverages state-of-the-art laser systems and beam delivery optics for materials development, with recent focus shifting toward environmental monitoring applications while maintaining core semiconductor research.
Angela Kashuba, Ph.D., is the John A. and Margaret P. McNeill, Sr. Distinguished Professor and Chair of the Division of Pharmacotherapy and Experimental Therapeutics at the UNC Eshelman School of Pharmacy. She serves as Director of the Clinical Pharmacology and Analytical Chemistry Core at the UNC Center for AIDS Research. Her research focuses on optimizing HIV treatment, prevention, and cure strategies through clinical pharmacology and analytical chemistry, with an emphasis on antiretroviral drug distribution in tissues and adherence monitoring. Education: Bachelor of Science in Pharmacy, University of Toronto (Canada) General Practice Residency, Women’s College Hospital (Toronto) Critical Care Pharmacy Practice, Mount Sinai Hospital (Toronto) Pharm.D., State University of New York at Buffalo Postdoctoral Pharmacology Training, Bassett Healthcare Clinical Pharmacology Research Center Research Interests: HIV drug pharmacokinetics and tissue distribution Development of novel adherence monitoring techniques (e.g., mass spectrometry imaging of hair) Optimizing dosing strategies for HIV prevention and cure interventions Impact of sex, gender, and comorbidities on drug efficacy Long-acting drug delivery systems (e.g., implants, biodegradable formulations) Grants & Projects: NIH P30-AI50410: UNC Center for AIDS Research Core NIH R01AI111891: Multi-Species Mechanisms of Drug Bio-distribution in HIV Tissue Reservoirs NIH/NIAID UM1AI126619: Collaboratory of AIDS Researchers for Eradication (CARE) Industry partnerships (e.g., Chimerix, TaiMed Biologics) Awards: Rawls-Palmer Progress in Medicine Award (ASCPT, 2023) John A. and Margaret P. McNeill, Sr. Distinguished Professorship (UNC, 2013) Labs & Collaborations: Director of the Clinical Pharmacology & Analytical Chemistry Laboratory, pioneering mass spectrometry imaging and drug reservoir analysis. Future Work: Advancing ultra-long-acting HIV PrEP implants Exploring sex-specific pharmacology in transgender populations Global HIV prevention initiatives via data sharing (HIV Pharmacology Data Repository)
Benoît Valley is a Full Professor at the University of Neuchâtel's Faculty of Science and Director of the Centre for Hydrogeology and Geothermics (CHYN). He specializes in geomechanics, geothermics, and hydrogeology, focusing on stress and fracture characterization in rock masses. His work addresses geothermal energy, CO2 storage, and nuclear waste sequestration. Education: PhD from ETH Zurich (2007), followed by research roles at MIRARCO Canada and ETH Zurich. Appointed to University of Neuchâtel in 2014 as Assistant Professor, promoted to Full Professor in 2020. Research interests include stress field dynamics, hydraulic stimulation, and fracture network analysis. Awards include the Bernard Kübler and Jean Landry Prize (2002). Teaching includes courses on geosciences, hydrogeology, and geothermal energy at undergraduate and graduate levels. Key initiatives: Leadership in CHYN, involvement in Swiss geoscience platforms, and contributions to projects like SPINE (EU-funded) and TIBEX (SFOE-funded). Labs: Established the Geothermics and Geomechanics Laboratory at CHYN, focusing on deep geothermal systems and reservoir engineering.
Dr Ting Sun is an Associate Professor in Climate & Meteorological Hazard Risks at University College London , Department of Risk and Disaster Reduction. He earned his BEng (2009) and PhD in Hydrology (2013) from Tsinghua University , followed by a visiting period at Princeton University (2011–2012). After postdoctoral appointments at Tsinghua and the University of Reading , he held a NERC Independent Research Fellowship at Reading (2017–2022) before joining UCL in May 2022. Education PhD in Hydrology, Tsinghua University, 2013 BEng in Hydraulic Engineering, Tsinghua University, 2009 Visiting PhD Student, Princeton University, 2011–2012 Research Interests Dr Sun’s work converges on urban climate modelling across scales —from neighbourhood blocks to global grids—focusing on the impacts of weather and climate extremes such as heat waves and extreme rainfall in cities. He is the lead developer of the Surface Urban Energy and Water balance Scheme (SUEWS) and its Python wrapper SuPy , developed in collaboration with Prof Sue Grimmond’s micromet group. He also contributes as a core member of the Urban Multi-scale Environmental Predictor (UMEP) development team. His multidisciplinary expertise integrates hydro-climate dynamics, computational modelling, machine learning, built-environment processes, and public-health linkages . Research Trends from Recent Publications Across the 15 most recent articles, a clear trajectory emerges from high-resolution urban-process modelling toward integrated socio-environmental assessments . Studies published in 2024–2025 couple atmospheric models (WRF-SUEWS) with global building-morphology datasets (GLAMOUR) to quantify how cities alter rainfall patterns, temperature sensitivity, and heat-related mortality. Earlier works progressively refined SUEWS’s physical parameterisations and Python accessibility, while recent outputs leverage deep-learning remote-sensing tools (SHAFTS) and hybrid hydrological-neural architectures to deliver actionable insights for urban planning and climate adaptation. Scientific Awards & Fellowships NERC Independent Research Fellowship , University of Reading, 2017–2022 HEA Fellowship , University College London, 2023 Professional Service & Editorial Roles Topic Editor , Geoscientific Model Development (from 2025) Editorial Board Member , Scientific Data (from 2024) Peer review and consultancy for journals, conferences, and policy bodies Supervision of taught-course projects and research degrees External examining and mentoring Labs, Teams & Collaborations Dr Sun leads and collaborates within the UCL Department of Risk and Disaster Reduction , working closely with the micromet group at the University of Reading (Prof Sue Grimmond) on SUEWS/SuPy development. He is an active member of the UMEP consortium and maintains extensive international collaborations spanning Tsinghua University, Princeton, and numerous European research centres, underpinning a vibrant, interdisciplinary research network focused on urban climate resilience.
PD Dr. Michael Veit is an Associate Professor (Privatdozent) at the Institute of Virology, School of Veterinary Medicine, Freie Universität Berlin , where he heads the independent Research Group Veit – Cell Biology of Viral Infections . He is a faculty member of the Center for Infection Medicine and participates in the Berlin Equine Virus Lab (BEVL). Education & Training Doctorate (Dr. rer. nat.) in Virology/Biochemistry – exact institution not stated in text. Post-doctoral qualification (Privatdozent) awarded by Freie Universität Berlin. Research Focus Veit’s laboratory investigates the molecular and cellular biology of enveloped RNA viruses , with emphasis on virus–host membrane interactions and post-translational lipid modifications (S-acylation/palmitoylation). His group combines reverse genetics, live-cell imaging, mass spectrometry and structural approaches to dissect how viral glycoproteins are modified, trafficked and assembled into infectious particles. Model pathogens include influenza A, B, C and D viruses, coronaviruses (SARS-CoV-2, MERS-like CoVs, PHEV, PDCoV), arteriviruses (PRRSV, EAV), alphaviruses (Getah, CHIKV-like), and other emerging zoonotic agents. Publication Trends From 2020 to 2025 Veit has published >30 high-impact articles that cluster around four major themes: (i) coronavirus surveillance and zoonotic risk assessment , (ii) mechanistic dissection of protein acylation in influenza and arteriviruses , (iii) structure-function analysis of viral entry receptors (ACE2, LDLR), and (iv) development of reverse-genetic tools and reporter viruses for antiviral screening. Grants & Collaborative Networks Ongoing third-party funded projects coordinated by Veit are not explicitly listed in the text, but the continuous publication output and mention of “Current Collaborations” imply active grant support. He collaborates closely with other FU Berlin groups (Osterrieder, Kaufer, Azab) and international partners on coronavirus and influenza consortia. Laboratory & Teams The Research Group Veit comprises post-docs, PhD students and technicians working in BSL-2 and BSL-3 facilities at the Institute of Virology. Core platforms include confocal & FLIM microscopy, quantitative proteomics, and reverse-genetics suites for segmented RNA viruses.
