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Nicole LatulippeView profile

Associate Professor

• Indigenous Environmental Governance
• Anticolonial Research Methodologies
• Environmental Justice
• +3 more

Nicole Latulippe is an Associate Professor in the Department of Human Geography at the University of Toronto Scarborough (UTSC), with a cross-appointment in the Department of Physical and Environmental Sciences. She focuses on Indigenous environmental governance, anticolonial research methodologies, and relational geographies through community-engaged practices. Ph.D. in Geography from University of Toronto M.A. in Geography from University of Guelph B.A. (Hons) in Geography from Nipissing University Her research explores Indigenous knowledge systems in environmental governance, settler-Indigenous relations in urban spaces, and decolonizing methodologies. Current projects include land/water stewardship in Toronto, treaty citizenship, and pathways to just futures through Indigenous placemaking. Her recent publications emphasize fisheries policy alternatives rooted in Indigenous relationality, co-creative research with Toronto Islands communities, and Indigenous-led environmental governance frameworks. Themes include knowledge sovereignty, colonial-disruption strategies, and land-based relational ethics. Scientific Awards: Connaught New Researcher Award (2022), SSHRC Insight Development Grant (2021), SSHRC Connection Grant (2019) Community Collaborations: Nipissing First Nation fisheries stewardship, Indigenous Environmental Justice Project, Mississaugas of the Credit First Nation partnerships

Sajjad BighamView profile

Associate Professor

• Heat Transfer
• Thermal Management
• Multiphase Flows
• +14 more

Dr. Sajjad Bigham is an Associate Professor in the Department of Mechanical and Aerospace Engineering at North Carolina State University and serves as an Adjunct Associate Professor at Michigan Technological University. He holds a PhD in Mechanical Engineering from the University of Florida and directs the Energy-X Lab (Energy eXploration Laboratory), which focuses on high-impact research in energy science and technology. His research interests encompass: Advanced thermal management solutions including microscale heat transfer, boiling/condensation phenomena, and interfacial transport Energy-efficient systems for HVAC&R, desalination, and clean water production Development of micro/nano-engineered materials and devices for energy conversion/storage Sorption-based gas management and multiphase systems under extreme conditions Recent publications demonstrate strong focus on thermal management innovations (45%), sustainable energy systems (30%), and advanced materials applications (25%). Dominant themes include heat transfer enhancement techniques, energy-efficient appliance design, desalination technologies, and microscale phase-change phenomena, with increasing emphasis on additive manufacturing approaches. Dr. Bigham leads the Energy-X Lab research group, which tackles high-risk, high-reward problems across four thrust areas: Terrestrial and space life support systems Advanced thermal management Clean energy production Clean water supply The lab's mission is to improve energy efficiency, reliability, and economy across defense, environmental, and energy sectors.

• Databases
• Programming Languages
• Compilers
• +7 more

Amir Shaikhha is an Associate Professor (Reader) in the School of Informatics at the University of Edinburgh. He was previously an Assistant Professor (Lecturer) at the same institution from 2020 to 2024 and a Departmental Lecturer at the University of Oxford until August 2020. He is also a Junior Research Fellow at University College, Oxford. His academic journey began with a Ph.D. from EPFL in 2018, where he was awarded the Google Ph.D. Fellowship in structured data analysis and a Ph.D. thesis distinction. His research centers on the design and implementation of data-analytics systems, drawing upon techniques from databases, programming languages, compilers, and machine learning. He develops high-performance systems such as SDQL.py, StructTensor, and VecHT, focusing on the compilation of data science workloads and optimization of tensor operations. His work bridges the gap between high-level abstractions and efficient execution, particularly in sparse and probabilistic computing domains. The recent publications highlight a strong trend in compiler-driven optimizations for data-intensive applications, including automatic differentiation, loop fusion, probabilistic programming, and domain-specific language (DSL) restaging. His research integrates machine learning for systems decisions and emphasizes reproducibility and performance. He has published consistently in top venues like PLDI, OOPSLA, SIGMOD, and CGO, reflecting sustained impact in programming languages and database systems. Dahl-Nygaard Junior Prize, 2025 Google Research Scholar Award, 2025 Most Influential Paper Award, GPCE 2024 Best Paper Award, GPCE 2017 Most Reproducible Paper Award, SIGMOD 2017 Google Ph.D. Fellowship, 2017 Amir Shaikhha has advised PhD students including Hesam Shahrokhi and has been nominated for Best Supervisor of the Year at the University of Edinburgh. He leads research projects that have received recognition and support through awards and grants, including the Google Research Scholar Award. He actively serves the community through program committees (e.g., GPCE, DBPL, DRAGSTERS), editorial roles, and peer review for premier journals. His leadership in organizing workshops and conferences underscores his role as a central figure in the programming languages and databases research communities. He leads a research group focused on compiler and database systems, with recent open-source releases such as StructTensor and VecHT. His team collaborates with researchers from institutions like MIT, EPFL, and TU Berlin, and he co-chairs workshops like Sparse@PLDI and DRAGSTERS. His lab emphasizes innovation in how data-intensive programs are compiled and executed efficiently across modern hardware.

• Climate Change Mitigation
• Ecological Economics
• Technology Innovation
• +5 more

Professor Jing Meng is a leading academic at University College London's Bartlett School of Sustainable Construction, holding the position since 2023 after progressing from Lecturer (2019-2021) to Associate Professor (2021-2023). She concurrently serves as a fellow at the Cambridge Centre for Environment, Energy and Natural Resource Governance and maintains active editorial roles as Executive Editor of the Journal of Cleaner Production and Associate Editor for Journal of Geophysical Research: Atmospheres. Her research spans three interconnected domains: Energy Transitions and Technology Innovation (examining cost forecasts and structural emission declines in China), Climate Change Policies (analyzing South-South trade effects and multinational enterprise emissions), and Emission-Health-Socioeconomics Nexus (assessing air pollution impacts and integrated co-mitigation strategies). This interdisciplinary approach is reflected in her publication record across Nature family journals and PNAS. Analysis of her recent publications reveals a consistent focus on global carbon accounting methodologies, with increasing attention to subnational (city-level) analyses, health co-benefits of climate policies, and technological innovation pathways for hard-to-abate sectors. Her work frequently employs multi-regional input-output modeling to trace emissions through complex supply chains. AGU Global Environmental Change Early Career Award (2023) MIT Technology Review Innovators Under 35 Asia Pacific (2022) Clarivate Highly Cited Researcher (2020-2024) Nature Communications Top 50 Earth Sciences Article (2018) MDPI Emerging Sustainability Leader Award (2020) Environmental Research Letters Best Early Career Article (2017) Professor Meng has secured substantial funding from diverse sources including NERC, the British Council, Quadrature Climate Foundation, The Royal Society, and UCL internal grants. She leads an interdisciplinary research group focused on technology innovation and climate policy, with particular emphasis on China's role in global emissions systems. Her work directly supports Sustainable Development Goal 13 (Climate Action) through actionable policy insights.

Ashutosh S. GandhiView profile

Professor

• Ceramics
• High Temperature Protective Coatings
• Thermal Barrier Coatings (TBCs)
• +11 more

Prof. Ashutosh S. Gandhi is a Professor in the Department of Metallurgical Engineering and Materials Science at the Indian Institute of Technology Bombay (IIT Bombay), where he has been serving since December 2017. Previously, he was an Associate Professor at IIT Madras from 2012 to 2015 and an Assistant Professor there from 2006 to 2012. He held a Postgraduate Researcher position at the University of California, Santa Barbara from 2001 to 2005. His educational qualifications include a Ph.D. and M.E. in Metallurgy from the Indian Institute of Science (IISc), Bangalore, specializing in Ceramics, and a B.E. in Metallurgical Engineering from Visvesvaraya National Institute of Technology, Nagpur, where he secured the university rank. Prof. Gandhi's research focuses on the Science of Ceramics , particularly High Temperature Protective Coatings such as Thermal Barrier Coatings (TBCs) and Environmental Barrier Coatings (EBCs), Surface Engineering , High Entropy Ceramics , Phase Transformations , and Metastable and Amorphous Materials . His work bridges fundamental materials science with industrial applications in aerospace, energy, and nuclear sectors. The selected publications highlight a strong trend in advanced ceramic materials, especially zirconia-based systems, rare earth silicates, and high entropy oxides. The research spans synthesis (sol-gel, combustion), processing (spark plasma sintering), and characterization of phase evolution, thermal stability, and mechanical properties under extreme conditions. Key themes include entropy stabilization, nanocrystallinity, and high-temperature performance. He has secured significant research funding from national and international agencies including the Science & Engineering Research Board, Aeronautics Research & Development Board, Department of Science & Technology, Naval Research Board (DRDO), Indian Space Research Organisation, The Boeing Company, and Pratt & Whitney. He also collaborated with GE India Technology Center on critical literature reviews. Prof. Gandhi holds an Indian patent on a thermal barrier coating made of high entropy oxide ceramics. He has contributed to the field through peer-reviewed journal publications and book chapters in prestigious publications by Springer and Pan Stanford. His research group at IIT Bombay is actively involved in developing next-generation ceramic materials for extreme environments, including icephobic coatings for aerospace and protective coatings for refractories. The lab utilizes advanced spectroscopic and materials characterization techniques.

Jan WoudstraView profile

Professor

• History and theory of the modern movement in landscape architecture
• Landscape conservation
• Planting design
• +7 more

Dr Jan Woudstra is an Honorary Professor at the University of Sheffield's School of Architecture and Landscape. With a PhD in Landscape Architecture from University College London and a background in landscape design, horticulture, and conservation, he has taught landscape architecture and history since 1995 and part-time at the Architectural Association School of Architecture from 1988-2005. Education: PhD, MA (Conservation), Dip Hort (Kew) Research Focus: History and theory of modern movement landscape architecture, planting design, hard landscape detailing, and international design trends Supervision: Claudia Leticia Martínez Velarde, Lei Gao, Kairan Li, Sang Jung Yoon, Vivienne Rose Parrott, Jijun Zhao, Manoochehr Salahi Moghadam, Hossein Donyavi, Sally O’Halloran Contact: j.woudstra@sheffield.ac.uk | Arts Tower, Floor 12, Western Bank, Sheffield, S10 2TN His research emphasizes landscape conservation, sustainability, and social equitability, with case studies on designers like Christopher Tunnard, Peter Shepheard, and Robert Marnock. He explores the tension between memory and innovation in historic landscapes. Recent publications address Buddhist pilgrimage sites, Scandinavian design, and historical planting techniques. Collaborations with Peter Blundell Jones and others analyze the interplay between architecture and landscape.

Mark W GrinstaffView profile

Professor

• Biomaterials
• Nanotechnology
• Biomedical Engineering
• +4 more

Mark W Grinstaff is a Professor at Boston University, leading the Grinstaff Group, which focuses on interdisciplinary biomaterials and biomedical engineering research. His work addresses healthcare challenges through innovations in diagnostics, devices, and therapeutics. He holds a B.A. from Occidental College (1987) and a Ph.D. from the University of Illinois at Urbana-Champaign (1992). Research interests include designing biodendrimers for tissue engineering, interfacial biomaterials, and conducting polymer-based sensors. Key areas span cartilage repair, drug delivery systems (e.g., anticancer, DNA), and biodegradable scaffolds. He explores nanoparticle-based imaging agents for osteoarthritis diagnosis and biomechanical assessments using computed tomography. Recent publications highlight advancements in machine learning-driven osteoarthritis classification, dual-contrast agents for cartilage imaging, and synthetic biolubricants for equine models. His group emphasizes translational research, with a focus on nanotechnology, regenerative medicine, and therapeutic delivery platforms. Grinstaff’s work is supported by grants and collaborations, though specific grants are not detailed in the text. He advises students through the Grinstaff Group, though no student names are listed here. His lab develops novel materials and devices, including polymeric adhesives and biosensors, with applications in orthopedics, oncology, and infectious diseases.

Lev SarkisovView profile

Professor

• Carbon Capture
• Material Informatics
• Molecular Simulation
• +6 more

Lev Sarkisov is a Professor of Chemical Engineering at the University of Manchester, leading the Sarkisov Research Group. His work focuses on advancing porous materials for carbon capture, energy storage, drug delivery, and sensing through multiscale computational workflows integrating molecular simulation, machine learning, and process modeling. He holds a Ph.D. from the University of Massachusetts Amherst (2001) and held roles at the University of Edinburgh, including Head of Chemical Engineering. Notable achievements include securing a £1M Wolfson Foundation grant for sustainable engineering (2022) and receiving the 2013 Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship. Education: Ph.D., Chemical Engineering, University of Massachusetts Amherst, 2001 M.Sc./B.Sc., Moscow Lomonosov Academy of Fine Chemical Technologies, 1995-1997 Research Interests: The group develops porous materials using AI-driven approaches for carbon capture, energy-efficient separations, and material informatics. Key areas include MOFs, adsorption phenomena, and open-source software for reproducible research. Grants & Awards: £1M Wolfson Foundation Grant (2022) Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship (2013) Edinburgh University Student Union Teaching Award (2019) Labs & Collaborations: The group collaborates globally, emphasizing open-source tools and reproducibility. Projects include CRAFTED (MOF adsorption database) and PoreBlazer v4.0.

Yu-Chong TaiView profile

Professor

• Medical Devices
• MEMS (Microelectromechanical Systems)
• Bio-MEMS
• +7 more

Yu-Chong Tai is the Anna L. Rosen Professor of Electrical Engineering and Medical Engineering at the California Institute of Technology. He holds the Cherng Leadership Chair (2017–22) and has served as Executive Officer (2005–2008, 2013–22). His research focuses on applying MEMS/NEMS technologies to medical applications, including medical implants, microfluidics, and lab-on-a-chip systems. Tai leads the Caltech MEMS Laboratory, an 8,000-square-foot facility with clean-room and biological labs dedicated to biomedical device development. Education: B.S., National Taiwan University (1981); M.S., University of California (1986); Ph.D., 1989. Academic progression: Assistant Professor (1989–95) → Associate Professor (1995–2000) → Professor (2000–13) → Rosen Professor (2013–present). Research interests span medical devices, Bio-MEMS, microfluidics, drug delivery, and implantable systems like retinal prosthetics and spinal stimulators. His group collaborates with UCSF, USC, UCLA, and industry partners to advance neural implants and micro-scale medical technologies. Key awards: Member of the National Academy of Engineering, Elected to the National Academy of Inventors Notable projects include HPLC-on-a-chip, wireless drug delivery systems, and oxygen-permeable implant coatings. Tai teaches courses on medical device design and micro/nano technology, fostering interdisciplinary innovation.

• Plastic and Reconstructive Surgery
• Hand Surgery
• Genetics of Musculoskeletal Disorders
• +3 more

Dominic Furniss serves as Professor of Plastic and Reconstructive Surgery at the University of Oxford's Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), concurrently holding an Honorary Consultant Plastic Surgeon position. His clinical expertise centers on hand surgery and supermicrosurgery for lymphoedema treatment. His educational background includes undergraduate medical studies at Trinity College, Cambridge (Junior and Senior Scholar, first-class degree in genetic pathology) followed by clinical training at Oxford University Clinical School. He completed basic surgical training in London before returning to Oxford's Plastic Surgery Department in 2003. Professor Furniss leads pioneering research into genetic and non-genetic causes of hand conditions through multiple initiatives including the Furniss Group, Centre for OA Pathogenesis, and Hand Research Group. His work spans molecular genetics of Dupuytren's disease, carpal tunnel syndrome epidemiology, and kidney stone disease mechanisms. Recent investigations extend to AI applications in health data through the PHAIR study and causal inference methods in genetic epidemiology. Analysis of his 2024-2025 publications reveals a strategic shift toward large-scale epidemiological studies of hand injuries, interdisciplinary genetic research, and AI integration in surgical practice. These works bridge orthopaedics, genetics, and medical informatics with significant real-world clinical implications. His major scientific recognitions include: Pushpa Chopra Award Plenary Prize of the MRS Wellcome Trust Intermediate Fellowship (first awarded to a plastic surgeon) Professor Furniss has secured substantial research funding including the NIHR Clinical Lectureship (2007) and Wellcome Trust Fellowship (2012). He directs multiple research streams: RAMBOH-1 studies, Molecular Genetics of Carpal Tunnel Syndrome project, and HAWAII initiative. His team actively investigates public perceptions of health data sharing for AI through the PHAIR study while advancing supermicrosurgical techniques for lymphoedema. He maintains active leadership in the Athena SWAN gender equality initiative as a Self-assessment team member, demonstrating commitment to inclusive academic culture.

Jason MicklefieldView profile

Professor

• Biosynthesis
• Biocatalysis
• Antimicrobial Resistance (AMR)
• +3 more

Jason Micklefield is a Professor of Chemical Biology at the University of Manchester's School of Chemistry and Manchester Institute of Biotechnology. His research focuses on sustainable bio-inspired molecular synthesis, integrating organic chemistry, enzymology, and molecular microbiology. He holds an honorary Visiting Professorship at East China University of Science and Technology. Micklefield earned his PhD in Chemistry from the University of Cambridge in 1993 and completed postdoctoral work at the University of Washington before joining Manchester in 1998. His lab specializes in biosynthesis pathway engineering, biocatalysis, and nucleic acid chemistry. Education: PhD in Chemistry (1993), University of Cambridge NATO Postdoctoral Fellowship, University of Washington, USA (1993–1995) Lecturer in Organic Chemistry, Birkbeck College, University of London (1995–1998) Research Themes: Biosynthesis of novel antibiotics to combat AMR, including pathway engineering for agrochemicals and drug discovery. Biocatalysis and integrated catalysis for sustainable synthesis of pharmaceuticals, focusing on amide ligases and halogenases. Nucleic acid therapeutics and riboswitch engineering for synthetic genetic control. Key Achievements: Discovered CfaL ligases enabling amide synthesis without protecting groups. Engineered vitamin K-dependent carboxylases for novel antibiotic pathways. Developed orthogonal riboswitches for synthetic biology applications. Awards: RSC Bader Award (2019) NPR Lecture Award Lab & Collaborations: The interdisciplinary Micklefield Lab includes chemists, biochemists, and bioinformaticians. Projects include MESNA (modified nucleic acid synthesis) and collaborations on sustainable chemical manufacturing.

Huiyan LiView profile

Associate Professor

• Biosensors
• Lab-on-a-chip Technologies
• Cancer Diagnostics
• +4 more

Huiyan Li, PhD, P.Eng., is an Associate Professor in the Department of Biomedical Engineering at the University of Guelph. Her research focuses on developing micro/nanoscale biosensors and lab-on-a-chip technologies for cancer diagnostics and personalized medicine. Dr. Li holds a Ph.D. in Biomedical Engineering from McGill University and completed postdoctoral training at Harvard Medical School/Massachusetts General Hospital. Her multidisciplinary research integrates biosensing, micro/nanofabrication, bio-optics/electronics, and computational tools to study cancer molecular complexity. Current openings exist for M.A.Sc. students interested in biosensing research. Key research areas include extracellular vesicle analysis, multiplexed immunoassays, magnetic/nanoparticle-enhanced bioassays, and graphene-based biomedical sensors. Recent work emphasizes point-of-care diagnostics and enhanced protein detection via novel material integration. Teaching responsibilities include ENGG 6301 (Advanced Micro/Nano Biotechnology) and undergraduate courses in bio-instrumentation and biomedical signal processing. Her work spans biomaterials classification, microfluidic systems, and antimicrobial nanocomposite development. Research outputs emphasize scalable microarray formats, EV-based biomarker discovery, and sensor sensitivity enhancement through nanomaterial innovations. Current projects address EV concentration measurement, 3D antibody microarrays, and magnetic-responsive hydrogel discs for bioassay improvements.

• Catalysis
• Chemical Engineering
• Sustainable Energy
• +3 more

Dmitry Murzin is a Professor at the Faculty of Science and Engineering, Åbo Akademi University, leading the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future. His expertise focuses on catalysis, reaction engineering, and sustainable chemical processes. Key projects include the Flexible Clean Propulsion Technologies (Business Finland, 2024–2027) and Rebuilding Education and Research in Chemistry and Chemical Technology in Ukraine (Ministry/Government Agency, 2023–2025). Research interests span catalyst development for methane reforming, biomass valorization, and sustainable fuel production. Notable contributions include studies on heterogeneous catalysis, zeolite-based composites, and reactor technology optimization. Recent work emphasizes eco-friendly processes for converting biomass into high-value chemicals. Over 698 publications and 2 active projects highlight his prolific output in catalytic reaction engineering. Collaborations span global institutions, addressing challenges in energy, environment, and materials science. Advising 2 students, he also hosts academic visitors to advance collaborative research. Labs/Teams: Directly leads the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future , fostering innovation in sustainable chemical processes.

• Polymer Chemistry
• Nanomedicine
• Sustainable Materials
• +7 more

Dr. Friederike Adams is an Independent Research Group Leader at the University of Stuttgart and University of Tübingen, focusing on Precision Polymers for Pharmaceutics . Her work bridges polymer chemistry and nanomedicine, emphasizing sustainable materials for drug delivery systems. Education: PhD in Chemistry (2019, TU Munich), M.Sc. in Chemistry (2015, TU Munich), B.Sc. in Chemistry (2013, TU Munich) Awards: No explicit awards listed Research: Specializes in living-type polymerizations, catalyst design, and post-polymerization functionalization for drug and RNA delivery . Publications: 15+ works on sustainable polyesters, metal-catalyzed polymerization, and nanocarrier systems. Students: Mentors 10+ PhD, master’s, and bachelor’s students, including Lea-Sophie Hornberger and Philipp Weingarten . Collaboration: Joint research group with the Schnichels Lab at the Eye Hospital Tübingen. Funded by BMBF and Baden-Württemberg Ministry of Science under Germany’s Excellence Strategy.

Ningyuan CaoView profile

Assistant Professor

• Machine Learning Acceleration
• Real-Time Systems
• Low-Power Circuits
• +7 more

Ningyuan Cao is an Assistant Professor in the Department of Electrical Engineering at the University of Notre Dame, College of Engineering. He leads the Circuit and System Intelligence Research Lab , focusing on the intersection of advanced hardware design and real-time/low-power machine learning applications. Education : Ph.D., Electrical and Electronics Engineering, Georgia Institute of Technology (2020) M.S., Electrical Engineering, Columbia University (2015) B.S., Electrical and Electronics Engineering, Shanghai Jiao Tong University (2013) His research investigates custom analog/mixed-signal circuits , digital architecture , and micro-system design for machine learning acceleration, distributed intelligence, and data-driven IC design automation. Key application domains include Internet-of-Everything, tactile internet, and mixed reality systems. Recent publications highlight work on Bayesian neural networks , privacy-preserving bio-signal encoders , transformer-based surrogate models , and compute-in-memory architectures . Technical themes span neuromorphic computing, uncertainty quantification, and hardware security.