Find Academic Supervisors

• Interface Chemistry
• Thin Film Characterization
• Semiconductor Physics
• +4 more

Dr. Robert O’Connor is an Assistant Professor at the School of Physical Sciences, Dublin City University (DCU) , specializing in interface chemistry and thin film characterization. His work bridges semiconductor physics and energy harvesting technologies , with a focus on materials like high-κ dielectrics and III-V substrates. BSc in Applied Physics (2001), DCU PhD in Semiconductor Physics (2005), DCU His research employs X-ray photoelectron spectroscopy (XPS) and atomic layer deposition (ALD) to study material interfaces in devices such as MOSFETs and photoelectrochemical systems . He leads a 4-year SFI-funded project on solar water splitting for hydrogen fuel and collaborates with Trinity College Dublin (SPOKE project) and IMEC, Belgium on area-selective deposition techniques. His lab utilizes a state-of-the-art integrated ALD-XPS tool . His scientific awards include the Marie Curie Intra-European Fellowship , Irish Research Council EMBARK Fellowship , and SFI TIDA Award . Publications span high-κ dielectrics , self-assembled monolayers , and block copolymer lithography , with recent work on graphene oxide heterostructures and recyclability in additive manufacturing . He supervises 5 postgraduate students and teaches modules like Final Year Project (PS451) and Solid State Physics I (PS204) . Collaborations include institutions such as IMEC and Trinity College Dublin , with tools like the integrated ALD-XPS system at DCU.

Joseph P. BresslerView profile

Associate Professor

• Neurotoxicology
• Environmental Health Sciences
• Metal Transporters
• +12 more

Joseph P. Bressler is an Associate Professor at Johns Hopkins University, jointly affiliated with the Bloomberg School of Public Health and the Krieger School of Arts and Sciences. He is a member of the Department of Environmental Health and Engineering and conducts research at the Kennedy Krieger Institute in Baltimore, Maryland. His work bridges public health, neuroscience, and molecular toxicology, focusing on environmental impacts on brain development. Education: PhD, Rutgers University, 1978 Dr. Bressler’s research centers on neurotoxicology, particularly how environmental pollutants such as lead, cadmium, and aluminum disrupt metal transport systems and affect neurodevelopment. His laboratory investigates the role of iron and other metal transporters at the blood-brain barrier and in glial cells, revealing mechanisms of metal uptake and toxicity. His work has implications for understanding autism, fetal alcohol syndrome, and other neurodevelopmental disorders. His recent publications highlight ongoing research into metal homeostasis, cytotoxicity in cancer and neuronal cell lines, e-cigarette aerosol variability, and epigenetic changes in sex chromosome aneuploidies. The research spans molecular mechanisms, in vitro models, and human health outcomes, demonstrating a multidisciplinary approach to environmental health. Scientific Contributions: Elucidated how lead and cadmium hijack iron transporters to enter the brain Demonstrated aluminum activation of iron uptake pathways in glial cells Investigated flavoring agents like ethyl maltol in enhancing metal toxicity Explored epigenetic and behavioral impacts in rare genetic conditions Dr. Bressler has advised numerous researchers and collaborators across disciplines. His work has been supported by federal and institutional grants, though specific funding details are not provided in the source text. He actively publishes in high-impact toxicology and environmental health journals, with research cited in policy and public health discussions. He leads a research laboratory focused on cellular and molecular mechanisms of neurotoxicity, utilizing in vitro models of the blood-brain barrier, astrocytes, and neuronal cell lines. His team collaborates widely across neuroscience, public health, and environmental engineering domains.

Paul GoulartView profile

Professor

• Robust and high-speed optimisation
• Control engineering
• Convex optimization
• +4 more

Professor Paul Goulart is a full Professor of Engineering Science at the University of Oxford and Tutorial Fellow at St Edmund Hall, positions he has held since 2014. He leads research and teaching in robust optimization, control systems, and high-speed numerical methods, with applications spanning fluid flows, traffic networks, and economics. Education SB & MSc, Aeronautics and Astronautics – Massachusetts Institute of Technology (MIT) PhD, Control Engineering – University of Cambridge (Gates Scholar, 2007) Research Interests Professor Goulart’s work lies at the intersection of control engineering and optimization . His core expertise includes: Robust and high-speed convex optimization Model predictive control (MPC) and control barrier functions Neural-network-based control and system identification Optimization over traffic and economic networks Real-time and embedded optimization solvers These interests are reflected in prolific publication output and active supervision of doctoral researchers. Publications & Trends From 2020 to 2025 Professor Goulart has co-authored more than thirty papers. A dominant theme is the development of fast, reliable algorithms for conic optimization and robust control , often leveraging machine-learning techniques to enhance scalability and real-time performance. Recent works emphasize safety certificates, GPU-accelerated solvers, and neural-network controllers for uncertain systems. Awards & Honors Gates Cambridge Scholar (2003) Advising & Grants Professor Goulart actively seeks DPhil students in control engineering and optimization . He leads the Control Group within the Department of Engineering Science and has been involved in multiple industrially funded projects, although specific grant identifiers are not provided in the supplied text. Laboratory & Teams He is a member of the Control Group , Department of Engineering Science, University of Oxford, and serves as Secretary to the Governing Body of St Edmund Hall (Michaelmas Term 2024).

Eric GreenView profile

Adjunct Assistant Professor

• Transportation Engineering
• Highway Safety
• Geographic Information Systems (GIS)
• +5 more

Eric Green is an Adjunct Assistant Professor in the Department of Civil Engineering at the University of Kentucky , affiliated with the Kentucky Transportation Center . He holds a Ph.D., M.S., and B.S. in Civil Engineering from the same institution. Ph.D., Department of Civil Engineering, University of Kentucky M.S., Department of Civil Engineering, University of Kentucky B.S., Department of Civil Engineering, University of Kentucky His research focuses on highway safety , spatial analysis (GIS) , crash modeling , and software development for traffic safety . Recent work includes text mining for secondary crash detection and GPS-based horizontal curve analysis. Publications highlight trends in crash analysis , Highway Safety Manual methodologies , and data integration for asset management . Key subfields include GIS applications, safety modeling, and automated regression techniques.

Mohammadreza KaramadView profile

Assistant Professor

• Electrochemistry
• Heterogeneous Catalysis
• Material Science
• +3 more

Mohammadreza Karamad is an Assistant Professor in the School of Sustainable Energy Engineering at Simon Fraser University (SFU), with a joint appointment in the Sustainable Energy Engineering department. His research focuses on computational materials discovery, leveraging quantum-mechanical methods (e.g., DFT) and machine learning (ML) to design advanced energy materials for clean technologies like hydrogen storage and catalysis. He holds a Ph.D. from the Technical University of Denmark (DTU) and completed postdoctoral research at Stanford University. His academic background includes leadership roles in the CMD Lab (Computational Materials Discovery), where he explores novel materials for electrochemical energy conversion processes. Key research areas include electrochemistry, heterogeneous catalysis, and material science, with a particular emphasis on CO2 reduction, ammonia synthesis, and sustainable energy storage solutions. Dr. Karamad collaborates with industry and academic partners to advance materials discovery through high-throughput computational screening and AI-driven approaches. He actively seeks motivated students (undergraduate and graduate) to join his research program, focusing on developing next-generation energy materials. His lab is located in room B8220, and he can be reached at mkaramad@sfu.ca. Notable technical contributions include pioneering work on transition metal nitrides for CO2 reduction, single-atom catalysts for ammonia synthesis, and machine learning frameworks for predicting material properties. His research bridges fundamental theory with practical applications, addressing global challenges in sustainable energy and environmental technology.

Thomas WinklerView profile

Associate Professor

• Microsystems Technology
• Organ-on-Chip
• Neuropsychiatric Disorders
• +3 more

Thomas Winkler is an Associate Professor at the Division of Micro and Nanosystems, KTH Royal Institute of Technology, Sweden, and collaborates with TU Braunschweig, Germany. His research focuses on solving life science challenges using microsystems tools, particularly in neuropsychiatric disorders like schizophrenia. He develops organ-on-chip models, engineered microfluidic platforms, and biosensors for point-of-care diagnostics. Winkler leads an interdisciplinary ERC-funded team addressing metabolic coupling in neurovascular units and oxidative stress biomarkers. Key achievements include the ERC Starting Grant (2023) and work on electrochemical sensors for clozapine monitoring. He teaches courses such as Microsystem Technology (EK2350) and supervises PhD and postdoctoral researchers. Current projects include machine learning-guided robotic organoid maturation and electrochemical technology development for the CHIPzophrenia initiative. His lab actively seeks talent through open positions in Stockholm and Braunschweig. Scientific awards include the ERC Starting Grant and Marie Skłodowska-Curie Actions Fellowship. Research spans sensor development, microfabrication, and biomaterials, with a focus on translating lab technologies to clinical applications. Collaborations bridge engineering and life sciences, emphasizing personalized mental healthcare solutions.

Calin BeltaView profile

Professor

• Control Theory
• Cyber-Physical Systems
• Formal Methods
• +5 more

Calin Belta is the Brendan Iribe Endowed Professor of Electrical and Computer Engineering and Computer Science at the University of Maryland, College Park. He is affiliated with the Institute of Systems Research (ISR) and the Maryland Robotics Center (MRC), and holds a Research Professor position at Boston University's College of Engineering. His work bridges control theory, formal methods, and machine learning to ensure safety in cyber-physical and data-driven systems, with applications in robotics, autonomous driving, and systems biology. Research Interests: Focus on dynamics and control theory, formal methods for verification and control synthesis, robotics, autonomous systems, and synthetic biology. Recent projects include PROGENIC (collaborating with MIT, UChicago, and UDelaware) and safety-critical control for heterogeneous robotic teams. Key Achievements: General Chair of the 2025 MRC Symposium, recipient of AFOSR Young Investigator Award (2008), NSF CAREER Award (2005), and IEEE Fellow. His work on formal methods for autonomous systems has led to impactful tools for safety assurance in robotics and AI. Grants: NSF EFRI PROGENIC grant (2024), multiple industry partnerships. Advising: Mentored students like Wenliang Liu (PhD 2024, now at Amazon), and collaborator Marius Kloetzer (shared HSCC Test of Time Award 2025). Labs/Teams: Maryland Robotics Center, Institute for Systems Research, and Boston University collaborations.

Carla VilelaView profile

Assistant Professor

• Sustainable Materials
• Cellulose Nanocomposites
• Biopolymers
• +2 more

Dr. Carla Vilela is an Assistant Professor in the Department of Chemistry at the University of Aveiro and Principal Researcher at CICECO. She coordinates the Sustainable Materials research line and leads projects on cellulose-based materials and circular economy. Her research focuses on sustainable materials from cellulose and renewable resources for applications in water remediation, food packaging, and textiles. Education includes a PhD in Chemistry from the University of Aveiro and postdoctoral work at CICECO and ISIS Neutron and Muon Source (UK). Research interests include: Development of cellulose-based functional materials Nanocomposites for biomedical applications Sustainable packaging solutions Biopolymer modification and characterization Publications demonstrate strong focus on cellulose nanocomposites, bioprinting bioinks, and active packaging. Recent articles frequently involve nanocellulose modifications, drug delivery systems, and sustainable material design. Awards include being named among World's Top 2% Scientists annually since 2020. Funding includes national projects (Cell4Janus) and EU collaborations (PRIMA Im-Pack). Leads the BioPol4Fun research group and supervises 6 PhD students. Current projects explore cellulose-based microrobots, resin valorization, and marine biopolymers.

Zsolt KiraView profile

Assistant Professor

• Robotics
• Machine Learning
• Artificial Intelligence
• +6 more

Zsolt Kira serves as an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing, with additional affiliations at the Georgia Tech Research Institute and as Associate Director of ML@GT. He leads the Robotics Perception and Learning (RIPL) Lab, driving research at the intersection of machine learning and robotics. Dr. Kira earned his Ph.D. in 2010 under Professor Ron Arkin, establishing foundational expertise in robotics and AI before transitioning to his current academic role after industry experience at SRI International Sarnoff. His research pioneers beyond supervised learning through unsupervised, semi-supervised, self-supervised, and continual/lifelong learning frameworks, while advancing distributed perception via multi-modal fusion and cross-robot information integration. This dual focus addresses core challenges in robotic autonomy and sensor processing. Analysis of his 15 most recent publications reveals dominant trends in embodied AI systems, robust foundation model adaptation, and multimodal learning architectures. Key themes include neural radiance field applications, reinforcement learning for locomotion, and novel benchmarks for memory evaluation in agents. While specific advisees and grants aren't documented in the source material, his RIPL Lab leadership implies active graduate mentorship and research funding acquisition. The lab's work directly enables next-generation robotic systems through algorithmic innovation in perception and learning. The RIPL Lab operates as a hub for developing machine learning techniques that solve difficult perception problems in robotics, with particular emphasis on unsupervised learning paradigms and distributed multi-robot systems that push the boundaries of autonomous operation.

• Nanomedicine
• Drug Delivery Systems
• Cellular Uptake of Nanoparticles
• +3 more

Anna Salvati is an Associate Professor specializing in nanomedicine and drug delivery systems. Her research focuses on nanoparticle-cell interactions, biomolecular corona formation, and the physicochemical properties governing nanomaterial behavior in biological environments. Key research themes include cellular uptake mechanisms, toxicity of nanomaterials, and nanoparticle targeting strategies. Recent publications highlight her work on nanoparticle stability, membrane interactions, and environmental impacts of microplastics. Her studies integrate multiomics approaches, advanced imaging, and interlaboratory validation to address challenges in nanomedicine design and safety testing. Current projects explore the role of high-density lipoproteins in nanoparticle functionality and the modulation of drug release kinetics through material engineering.

Silu WangView profile

Assistant Professor

• Speciation
• Adaptation
• Forest Evolutionary Genomics
• +3 more

Dr. Silu Wang is an Assistant Professor in the Department of Biological Sciences at the University at Buffalo. Her research focuses on speciation, adaptation, and forest evolutionary genomics, particularly in avian species. She leads the Forest Speciation Lab, studying the genomic and ecological mechanisms underlying species divergence in North American and global forest ecosystems. Her work integrates field studies, genomic analyses, and computational modeling to address biodiversity conservation challenges under climate change. Education: BS in Behavior Genetics and Neurobiology, University of Toronto MA in Ecology, Evolution and Behavior, University of Texas, Austin PhD in Zoology, University of British Columbia Postdoctoral Research at University of California Berkeley and UC Davis Research Interests: Dr. Wang investigates how hybridization, climate adaptation, and reproductive isolation shape avian biodiversity. Her lab uses old-growth forest bird species as models to study early-stage speciation processes, including mate choice, genetic incompatibilities, and mitochondrial-nuclear interactions. Key themes include understanding organismal responses to environmental changes and developing genomic tools for conservation prioritization. Lab and Teams: The Forest Speciation Lab collaborates with institutions globally, focusing on fieldwork in temperate and tropical forests. Current projects include studies on warbler hybrid zones, tinamou speciation, and the genomic architecture of mitonuclear coevolution. Teaching: Dr. Wang teaches courses on Speciation, Tropical Ecology, and Evolutionary Biology, emphasizing hands-on research training for students.

Hanadi SleimanView profile

Professor

• Chemical Biology
• Materials Chemistry
• Nanotechnology
• +3 more

Professor Hanadi Sleiman is a renowned academic in the Department of Chemistry at McGill University, specializing in DNA-based nanomaterials and their applications in drug delivery and supramolecular chemistry. She holds leadership roles, including Director of the NSERC CREATE training program in Nucleic Acids and President of the International DNA Nanotechnology Society (ISNSCE). Her research focuses on engineering DNA nanostructures for targeted therapies, such as cancer treatments, and advancing materials chemistry through DNA-functionalized systems. Education: Ph.D. in Chemistry, Stanford University (1990) Postdoctoral Fellow, University of Louis Pasteur (1993) Research Interests: Professor Sleiman’s work combines synthetic chemistry with DNA self-assembly to create programmable materials. Her lab designs DNA cages for drug encapsulation, explores DNA-minimal approaches to scalable materials, and integrates DNA with nanoparticles, polymers, and metals for biomedical applications. Key areas include cancer therapy, biosensors, and enzyme mimics. Awards & Honors: Fellow of the Royal Society of Canada (2017) Killam Research Fellowship (2018) R. U. Lemieux Award in Organic Chemistry (2018) William Dawson Scholar Award (2004–2012) Grants & Collaborations: She directs the NSERC CREATE program and collaborates with institutions like the Quebec Centre for Advanced Materials (QCAM) and the McGill Centre for Structural Biology (CRBS). Her training initiatives emphasize nucleic acid therapeutics and diagnostics. Labs & Teams: Her Sleiman Group at McGill develops innovative DNA architectures in the Otto Maass laboratory, with a focus on translational research for clinical applications.

• Membrane Biophysics
• Bioengineering
• Nanotechnology
• +7 more

Henry Liang, Ph.D., is a Professor in the Department of Cell Physiology and Molecular Biophysics at Texas Tech University Health Sciences Center (TTUHSC), with adjunct appointments in Chemical Engineering and Chemistry at Texas Tech University. His lab focuses on bridging biology with synthetic systems through membrane biophysics and bioengineering. Research Interests: Dr. Liang's work spans membrane protein reconstitution, nanodisc technology, antimicrobial nanoparticles, blood-brain barrier targeting, and immunotherapy platforms. Key areas include: Design of synthetic proteomembranes for protein function studies Development of environmentally responsive nanoantibiotics Nanoparticle-based theranostic systems for cancer Light-driven energy transduction in biohybrid materials Publication Trends: His 15 most recent articles (2011-2023) demonstrate consistent focus on nanotechnology solutions for biomedical challenges, with evolving emphasis on antimicrobial nanostructures (35%), membrane protein platforms (30%), cancer nanomedicine (20%), and sustainable nanomaterials (15%). Methodological strengths include polymer synthesis, X-ray scattering, and biomimetic system design. Training: The Liang Lab actively recruits graduate students and postdoctoral researchers for projects in membrane biophysics and bioengineering. Current research infrastructure includes capabilities for synchrotron small-angle X-ray scattering, molecular dynamics simulations, and nanomaterial characterization.

Reza GhabchelooView profile

Professor

• Robotics
• Automation Engineering
• Control Systems
• +7 more

Reza Ghabcheloo is a Professor at Tampere University, affiliated with the Faculty of Engineering and Natural Sciences and the Department of Automation Technology and Mechanical Engineering. He leads the Robotics major and the international Automation Engineering program. His research focuses on autonomous mobile machines, robotics, control systems, and safety engineering, with specific interests in construction robotics, sensor fusion, and hydraulic systems. He co-leads the Autonomous Mobile Machines Group and is associated with the Robotics and Intelligent Machines Lab and the Innovative Hydraulics and Automation Lab. His research emphasizes developing autonomous systems for off-road machinery, safe control strategies, and energy-efficient automation. He has published extensively on topics such as reinforcement learning for crane control, radar-based perception, and safety architectures for autonomous systems. His work bridges robotics, control theory, and industrial automation, addressing challenges in heavy-duty machinery and real-world robotic applications. Research Group: Autonomous Mobile Machines Group Labs: Robotics and Intelligent Machines Lab, Innovative Hydraulics and Automation Lab Key Projects: Safety of automated off-road machinery, machine learning for autonomous loading, and trajectory optimization

Lars E. ErikssonView profile

Professor

• Translational Nursing Research
• Biobehavioral Nursing
• Quality of Life
• +9 more

Professor Lars E. Eriksson is a Registered Nurse with a PhD in Nursing and an MSc in Chemistry, currently serving as a part-time Professor in Nursing at the School of Health and Medical Sciences, City St George's, University of London, and as a full Professor in Nursing at Karolinska Institutet, Stockholm, Sweden, where he leads the Lars E. Eriksson Research Group. His academic journey began with a UC in Nursing in 1985, followed by over a decade of clinical work in hematology, immunology, and HIV care in Stockholm, before transitioning into research and academia. His research is centered on biobehavioral and translational nursing, particularly focusing on health and quality of life among individuals with chronic conditions such as HIV, cancer, and long-term infections. Key areas include disease-related stigma, symptom research, patient-reported outcomes, and biomarker development. He is Principal Investigator for a lung cancer biomarker project funded by the Swedish Research Council and the Swedish PI for the H2020 Magnet4Europe project on mental health in healthcare workplaces. His recent publications show a strong trend in using mixed methods to explore end-of-life communication, death literacy, sexual and reproductive health after cancer, and stigma in chronic illness. He frequently employs patient-reported outcomes, online focus groups, and web-based interventions, often in collaboration with international partners. His work bridges clinical practice, nursing science, and public health. Scientific Awards and Memberships: British HIV Association (BHIVA) National HIV Nurses Association (NHIVNA) Swedish Society of Nursing Swedish Society of Medicine Swedish Society of Medical Microbiology Lars Eriksson has advised numerous PhD and Master’s students, primarily on topics related to quality of life, stigma, and chronic illness. He teaches postgraduate modules including MSc Dissertation, Advanced Practice Dissertation, and Sexual and Reproductive Health. He is affiliated with the Centre for Health Services Research and the Centre for Public Health Research at City St George's.