Find Academic Supervisors

Ali SiamakiView profile

Professor

• Heterogeneous and Homogeneous Catalysis
• Metal Nanoparticles Synthesis and Characterization
• Metal-Catalyzed Cross-Coupling Reactions
• +3 more

Dr. Ali Siamaki is a faculty member at Fayetteville State University in the Department of Chemistry, Physics & Materials Science. His research focuses on heterogeneous and homogeneous catalysis, metal nanoparticles synthesis, and their application in cross-coupling reactions under microwave and continuous flow conditions. M.S., University of Calgary, Canada Ph.D., McGill University, Canada His research group explores three core areas: preparation of solid-supported metal nanoparticles, their catalytic evaluation in C-C reactions (Suzuki, Heck, Sonogashira), and microwave/flow reaction applications. Students gain expertise in SEM, TEM, FT-IR, and XRD techniques. He teaches courses in organic chemistry, polymer science, and general chemistry. Recent work includes highly cited studies on graphene-supported Pd/Fe3O4 nanoparticles and nickel-palladium bimetallic catalysts for Sonogashira reactions. His team actively presents at conferences like ACS Meetings and Emerging Researcher National Conference in STEM. Scientific Awards Top Cited Article in 2011-2012 Certificate by the Journal of Catalysis Research Students Current: Katherine Coker, MaryKristy Eweama, Harlee Winkleman. Former: Lacey Picinich, Destiny Ivey, Sojeong Folsom, and others.

• Machine Learning
• Database Systems
• Artificial Intelligence
• +3 more

Christopher Re is a Professor in the Department of Computer Science at Stanford University, affiliated with the Stanford AI Lab, Machine Learning Group, and Center for Research on Foundation Models. His research focuses on the intersection of machine learning, database systems, and scientific computing, with applications in humanitarian efforts, scientific discovery (e.g., extrasolar neutrinos, DNA foundation model Evo), and industry partnerships with companies like Apple and Google. He has been recognized with prestigious awards, including the MacArthur Foundation Fellowship and multiple test-of-time awards. His work emphasizes advancing thermal materials, phase-change memory, and ultrafast electron microscopy technologies. Re's research contributions span database theory, systems, and machine learning, with best papers at PODS 2012, SIGMOD 2014, and ICML 2016. His lab’s innovations have been incorporated into products globally, and he actively invests in technology startups. Key projects include developing thermal interface materials for 3D integrated circuits and exploring energy-efficient neuro-inspired memory systems. His awards reflect sustained excellence: NeurIPS 2020 and PODS 2022 test-of-time awards, along with recent accolades for student-led initiatives at MIDL 2022 and ICLR22. Re’s interdisciplinary approach bridges academia and industry, driving both scientific and humanitarian impact.

• Surface Science
• Materials Science
• Nanotechnology
• +11 more

Professor Nunzio Motta is a physicist at Queensland University of Technology (QUT), Faculty of Science, School of Chemistry and Physics. He pioneered atomic resolution in Ultra High Vacuum by Scanning Tunneling Microscopy in Italy (1991) and continues to innovate in nanotechnology, focusing on 2D materials, graphene, and quantum dots for electronics, energy storage, and environmental applications. PhD, Scuola Normale Superiore di Pisa (1986) Bachelor of Engineering (Hons I) in Physics, University of Rome La Sapienza (1981) His research spans Surface Science , Materials Science , and Nanotechnology , with key projects on epitaxial graphene growth, hybrid 2D heterostructures, and supercapacitors. Recent work includes designing diamond nanothread bundles and developing gas sensors for smart cities. His 15 most recent publications (2022–2025) focus on energy storage (Li-ion batteries, supercapacitors), 2D heterostructures, and gas sensors, leveraging nanotechnology for environmental and electronics challenges. Order of the Star of Italy (2017) Queensland International Fellowship (2013) He supervises PhD/MSc students in 2D materials for quantum technologies and energy applications, collaborating with institutions like Australian National University and CSIRO. His professional roles include Associate Editor for Beilstein Journal of Nanotechnology and organizing committees for international workshops like NanoS-E3.

Rachel Devorah Wood RomeView profile

Assistant Professor

• Electronic Music
• Creative Coding
• Live Coding
• +12 more

Rachel Devorah Wood Rome is an Assistant Professor in the Electronic Production and Design (EPD) department at Berklee College of Music, where she teaches creative coding, live coding, and music technology. Her work bridges electronic music, improvisation, and critical theory, with a focus on sonic cyberfeminism, archival practices, and the social meanings of sound and space. Ph.D. in Music Composition and Computer Technologies, University of Virginia (2018) M.L.I.S., San José State University (2017) M.A. in Music Composition, Mills College (2013) B.Mus. in Horn Performance, CUNY Queens College (2007) Her research explores superhuman prolongation, opaque complexity, and the re-signification of archaic tools in sonic media. She values machines for their patience and memory, and her creative practice emphasizes critical agency in technology design and use. She performs under the name 'mehetabel' when using archival materials in improvised electronic music. The most recent publications and performances reflect a deep engagement with AI and music, live coding, feminist media theory, and spatialized sound. Her works often involve real-time data processing, generative systems, and collaborative improvisation, situating sound within broader social, political, and technological contexts. Ruth Anderson Installation Prize (IAWM) New Music USA Grant Fellowships from MIT OpenDocLab, Adrian Piper Foundation, Ina GRM, New Museum, and Jefferson Scholars Foundation Residencies at EMS Stockholm, STEIM Amsterdam, MassMoCA, and Cove Park Rome advises emerging artists in electronic music and creative coding, many of whom have gone on to establish their own practices. She is also active in academic service, including curriculum development, faculty governance, and labor organizing as a Councilor for the Berklee Faculty Union. She leads initiatives in DEI, sound design, and coding pedagogy within the EPD department. She has been involved in interdisciplinary collaborations with artists, technologists, and institutions worldwide, presenting work in galleries, festivals, and academic conferences across North America, Europe, and Asia. Her leadership extends to nonprofit arts organizations, where she has served as Executive Director and grantwriter.

Kai LandskronView profile

Professor

• Energy and Catalysis
• Molecular Assembly
• Materials Science
• +6 more

Kai Landskron is a Professor in the Department of Chemistry at Lehigh University. His research focuses on high-pressure synthesis of mesoporous materials, supercapacitive swing adsorption for CO2 separation, and electrochemical engineering. He has been at Lehigh since 2006 and was promoted to full professor in 2018. Diplom in Chemistry, University of Bayreuth, Germany PhD in Chemistry, Ludwig Maximilians University of Munich Research interests include Energy and Catalysis , Molecular Assembly , Materials Science , and Nanoscience . Key areas are supercapacitive CO2 capture, high-pressure synthesis of mesoporous materials, and electrochemical methods for gas separation. Recent publications highlight trends in supercapacitive swing adsorption (2024, 2014), high-pressure synthesis of nanomaterials (2010, 2009), and CO2 separation technologies (2019, 2017). Subfields span adsorption kinetics, porous frameworks, and material stability under extreme conditions. Current students include Alysson Bermudez, Jacob Dooley, Jiajie Li, and Muhammad Bilal Zarafullah. The Landskron Research Group explores periodic mesoporous organosilicas, coesite nanocrystals, and diamond monoliths.

Hongbo ZhangView profile

Professor

• Functional Materials
• Drug Delivery
• Biomedical Engineering
• +4 more

Professor Hongbo Zhang is a leading academic at Åbo Akademi University , affiliated with the Faculty of Natural Sciences and Engineering and the InFLAMES (Innovation Ecosystem based on the Immune System) flagship program. With over 227 publications and 21 active/completed projects since 2006, his research spans Functional Materials , Drug Delivery , and Clinical Translation . Research Interests: His work focuses on Engineering nanostructures for blood-brain barrier penetration Microfluidics-enabled biomedical devices Antimicrobial resistance solutions Cellulose-based sustainable materials Mitochondrial delivery systems Theranostic hydrogels Scientific Awards: Fellow of the Royal Society of Chemistry (2024) MDPI Pharmaceutics Young Investigator (2020) Chinese Orthopedic Association 1st Prize (2019) Best Oral Drug Formulation (Control Release Society, 2014) 10 Leading Chinese Talents in Europe (2023) Collaborative Network: Actively hosts international researchers and contributes to EU/Nordic-funded projects like NAP4DIVE and Printed Intelligence Infrastructure . His recent publications demonstrate expertise in nanomedicine, biocomposites, and lignin valorization.

• Physiology
• Sports Science
• Molecular Biology
• +3 more

Tommy Lundberg is a Senior Lecturer and Docent in Physiology at Karolinska Institutet. He works at the Department of Laboratory Medicine, Division of Clinical Physiology. His email address is tommy.lundberg@ki.se, and his postal address is H5 Laboratoriomedicin, H5 Klinisk Fysiologi Gustafsson, 141 52 Huddinge. Lundberg is affiliated with the university library and has held positions since 2022. Research Interests: Lundberg's research focuses on skeletal muscle mass and function adaptation, particularly in athletic performance, disease contexts, aging, and transgender individuals undergoing hormone therapy. He investigates molecular, metabolic, morphological, and functional responses to resistance and aerobic exercises. His work also explores biological maturity selection biases in youth sports, bio-banding applications in soccer and ice hockey, and the impact of anti-inflammatory drugs on muscle hypertrophy. Article Trends: Lundberg's recent publications (2025–2024) cover topics like sex differences in disc golf, muscle atrophy in space exposome, longitudinal hormone therapy effects in transgender individuals, and bio-banding in youth sports. Earlier works delve into molecular pathways in muscle hypertrophy, concurrent training effects, mitochondrial function, and imaging techniques (CT/MRI) for muscle assessment. Scientific Recognition: Most prominent young researcher in Sport Science, Swedish Central Association for Sport Promotion (SCIF), 2017 Teaching and Editorial Roles: Lundberg teaches human physiology and sports science in nursing, physiotherapy, and biomedical analytics programs. He leads a contract education course in advanced exercise physiology and contributes to a PhD course on scientific writing. He is an Associate Editor for Frontiers in Physiology - Exercise Physiology (2022) and a member of the editorial board for Translational Exercise Biomedicine (2024). Collaborations and Expertise: He collaborates with the Swedish Football Association and Swedish Ice Hockey Association on bio-banding studies. Lundberg served as an invited speaker at the ACSM Annual Meeting (2024) on transgender athletes and as an expert panelist for World Rugby's transgender workshop (2020). His supervision includes Andrea Tryfonos (2021) and thesis evaluations at Mid Sweden University and Linköping University.

Pouya BashivanView profile

Assistant Professor

• Computational Neuroscience
• Machine Learning
• Artificial Neural Networks
• +6 more

Pouya Bashivan is an Assistant Professor in the Department of Physiology at McGill University's Faculty of Medicine. His research focuses on developing computational models to explain and regulate neural responses during visual tasks requiring memory, combining machine learning, neuroscience, and cognitive science. Education : Ph.D. in Computer Engineering (2016), Postdocs in Machine Learning (2020) and Computational Neuroscience (2016-2020) His lab investigates: Topographical neural networks for visual cortex simulation Massively-multitask models for prefrontal cortex Saccade-driven visual exploration models Predictive hippocampus models for episodic memory Recent publications explore adversarial robustness, memory-augmented networks, and brain-state decoding. Current projects emphasize causal models, brain-AI alignment, and translating computational neuroscience into therapeutic applications. The lab is located in the McIntyre Medical Sciences Building, Room 1117, Montreal, Quebec.

• Energy efficiency analysis of industrial chemical processes
• Rational use of biomass in industrial energy systems
• Process integration and techno-economic analysis of biorefinery concepts
• +2 more

Simon Harvey is a Professor in Energy Engineering at Chalmers University of Technology, Sweden. With a background in Mechanical Engineering and over two decades of academic leadership, he focuses on industrial energy systems optimization and sustainable process integration. PhD from Thayer School of Engineering, Dartmouth College (1994) Assistant Professor at Chalmers (1997-2011) Full Professor since 2011 His research spans : Energy efficiency in chemical processes Biomass-based industrial energy systems Biorefinery techno-economics Climate impact assessment methodologies Energy market scenario modeling Recent publications demonstrate expertise in carbon capture integration, heat recovery optimization, and biomass utilization for negative emission technologies. Collaborative work emphasizes cross-sectoral energy synergies and uncertainty analysis in industrial retrofits. Key trends include: Decarbonization of pulp/refinery operations Hybrid electric/steam generation systems Excess heat valorization in district heating Process flexibility under uncertain parameters

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +5 more

Georges Gielen is Full Professor in the Department of Electrical Engineering (ESAT) at KU Leuven, Belgium, and part-time Research Director at imec. He has held multiple leadership roles including Chair of ESAT Department (2012-2013, 2020-2024) and Vice-Rector for Science, Engineering & Technology (2013-2017). His academic career spans over 30 years at KU Leuven, progressing from Assistant to Full Professor. His research focuses on analog and mixed-signal integrated circuit design automation , with expertise in CAD tools, design optimization, sensor interfaces, and neuromorphic systems. His work bridges hardware design with machine learning, particularly in hardware-efficient AI implementations and biomedical applications. He has pioneered techniques for automated analog circuit sizing, topology synthesis, and reliability-aware design in nanometer CMOS. Gielen has received numerous accolades including the IEEE CAS Mac Van Valkenburg Award (2015), IEEE CAS Charles Desoer Award (2020), and EDAA Achievement Award (2021). He holds an ERC Advanced Grant AnalogCreate and is an IEEE Fellow since 2002. As a prolific scholar, he has chaired major conferences including DATE (2006), ICCAD (2007), and ESSCIRC (2017). He has graduated over 55 PhD students through the MICAS research group at KU Leuven, currently supervising 13 doctoral candidates. His research team collaborates extensively with imec and industry partners on cutting-edge projects in carbon-aware AI accelerators, uncertainty-aware design, and neuromorphic sensor interfaces.

• Cloud Computing
• Data Center Optimization
• Resource Allocation
• +4 more

Bhuvan Urgaonkar is a Professor in the Department of Computer Science and Engineering at Penn State University's College of Engineering. His research centers on optimizing cloud computing systems through innovative approaches to resource allocation, cost efficiency, and energy management. Current research focuses on Burstable Instance Scaling Serverless Computing Optimization Distributed Storage Systems Multi-resource Fair Allocation Cloud Economics Recent publications highlight advancements in autoscaling techniques, serverless architecture design, and trace modeling for high-load scenarios. These works emphasize practical solutions for cost-effective resource utilization in public cloud environments. Scientific Awards: CNS: Core: Small: Consistent, Geo-Distributed Data Stores on the Public Cloud (NSF, 2022-2025) CNS Core: Small: Principled Methodologies for Automated Cost-Effective Service Blending (NSF, 2021-2024) PPoSS: Cross-Layer Design for HPC in the Cloud (NSF, 2020-2022) CSR: Burstable Instances for Cost-Efficacy (NSF, 2017-2020) CSR: Student Travel Support for SIGMETRICS (NSF, 2016-2017)

Michael J. WillisView profile

Research Fellow

• Politics
• Modern History
• International Relations
• +5 more

Dr Michael J. Willis is the HM King Mohammed VI Fellow in Moroccan and Mediterranean Studies at the Faculty of Asian and Middle Eastern Studies , University of Oxford, and a member of St Antony’s College. His research focuses on the politics, modern history, and international relations of the Maghreb (Morocco, Algeria, and Tunisia). He has taught at St Antony’s College since 2004 and previously taught politics at Al Akhawayn University in Morocco from 1997–2004. Monographs: Algeria: Politics and Society from the Dark Decade to the Hirak (Hurst, 2022), Politics and Power in the Maghreb: Algeria, Tunisia and Morocco from Independence to the Arab Spring (Hurst and Oxford University Press, 2012), and The Islamist Challenge in Algeria: A Political History (Ithaca and New York University Press, 1997). Co-edited Work: Civil Resistance in the Arab Spring: Triumphs and Disasters (Oxford University Press, 2015). Research Leadership: Served twice as Director of the Middle East Centre at St Antony’s College (2011–2014, 2021–2022). His work bridges political science and Middle Eastern studies, with a focus on democratization processes and Islamist movements. While the 15 most recent publications listed in this dataset pertain to synthetic chemistry and sulfur-based catalytic methods, these appear unrelated to his political science research. The discrepancy suggests a potential data mix-up between two individuals with the same name. Academic Supervision: Has advised DPhil students including Yasmine Zarhloule, Ella Williams, and Kateryna Marina. No scientific awards are explicitly mentioned in his political science profile.

Nandika BandaraView profile

Associate Professor

• Food Science
• Protein Chemistry
• Nanotechnology
• +4 more

Dr. Nandika Bandara serves as Associate Professor and Tier 2 Canada Research Chair in Food Proteins and Bioproducts at the University of Manitoba's Department of Food and Human Nutritional Sciences within the Faculty of Agricultural and Food Sciences. Her research program focuses on advancing sustainable protein technologies for food, materials, and bioproduct applications through integration of material science and nanotechnology. Education: CFS (Certified Food Scientist), Institute of Food Technologists / International Food Science Certification Council PhD (Food Science & Bioresource Technology), University of Alberta, Canada MSc (Food Science & Technology), University of Alberta, Canada BSc (Agriculture), University of Peradeniya, Sri Lanka Dr. Bandara's research explores protein and biopolymer-based nanostructures for bioactive delivery, sustainable protein extraction from Canadian crops and byproducts, and renewable biopolymers for food packaging and biomedical materials. Her lab investigates novel processing technologies' effects on protein structure-function relationships using advanced characterization techniques. Current projects include protein-lipid conjugation for nanodelivery systems, feather keratin-based wound-healing materials, and deep eutectic solvents for protein extraction. Her publication record demonstrates strong focus on plant protein valorization, nanodelivery systems, and functional materials. Key trends include development of electrospun nanofibers, protein-based packaging films reinforced with nanocellulose, and metabolomics approaches for bioactive compound analysis in Canadian berries. The research bridges fundamental protein chemistry with industrial applications in sustainable food systems. Awards and Honors: Outstanding Volunteer Service Award of the Food Chemistry Division at Institute of Food Technologists (IFT) - 2019/2020 Institute of Food Technologists (IFT) Emerging Leaders Network (ELN) Program finalist - 2019 Natural Science and Engineering Research Council (NSERC) of Canada Postdoctoral Fellowship - 2018 Agricultural Institute of Canada Foundations' (AICF) Karl C Iverson Agricultural Scholarship - 2016 MITACS Accelerate Graduate Scholarship - 2015 Queen Elizabeth II Doctoral Graduate Scholarship - 2015 American Oil Chemist Society Honored Student Award - 2015 Graduate Student Teaching Award of the Faculty of Graduate Studies and Research/ Faculty of Agricultural, Life and Environmental Sciences, University of Alberta - 2015 Alberta Innovates Technology Futures Graduate Student Doctoral Scholarship Dr. Bandara actively supervises graduate students through the University of Manitoba's Food and Human Nutritional Sciences program and holds an adjunct professorship at Dalhousie University. She serves as Associate Editor for Food Chemistry Journal and on the editorial board of Food Research International. Her research is supported by her Canada Research Chair position and industry partnerships focused on Canadian agricultural innovation. She directs the Food Proteins and Bioproducts Lab at the Richardson Centre for Food Technology and Research, which specializes in protein characterization, nanomaterial development, and sustainable extraction technologies. The lab collaborates with researchers across Canada and internationally to translate fundamental discoveries into industrial applications for food, packaging, and biomedical sectors.

• Organic Chemistry
• Photoredox Catalysis
• Electrochemistry
• +6 more

Magnus A. Rueping is a highly distinguished Professor of Chemistry at King Abdullah University of Science and Technology (KAUST) in Thuwal, Saudi Arabia. With an impressive h-index of 107 and over 35,502 citations from 430 documents, he stands as a leading figure in modern synthetic chemistry. His research group maintains active collaborations with 651 co-authors worldwide, reflecting his significant impact on the chemical sciences community. Professor Rueping's research spans multiple cutting-edge areas in organic chemistry and catalysis. His work primarily focuses on developing novel sustainable methodologies including photoredox catalysis, electrochemical synthesis, and mechanochemistry. He has made significant contributions to the fields of $$\text{C-H}$$ functionalization, late-stage modification of complex molecules, and sustainable chemical transformations. His research group explores the intersection of traditional organic synthesis with emerging technologies to create more efficient and environmentally friendly chemical processes, with particular emphasis on nickel catalysis and metal-organic frameworks. Analysis of Professor Rueping's recent publications (2023-2025) reveals a strong trend toward integrating multiple activation modes in single catalytic systems. His work increasingly combines photochemistry, electrochemistry, and mechanochemistry (particularly resonant acoustic mixing) to develop novel catalytic platforms that minimize waste and energy consumption. A notable research direction involves the application of copper nanoclusters and cerium-based metal-organic frameworks as heterogeneous photocatalysts for challenging organic transformations. His group has also pioneered methods for $$\text{C-Ge}$$ and $$\text{C-S}$$ bond formation with exceptional selectivity. Professor Rueping's research has attracted substantial funding and recognition, as evidenced by his high citation metrics and publication record in top-tier journals including Nature Communications, Journal of the American Chemical Society, and Angewandte Chemie. His work bridges fundamental chemical research with practical applications in pharmaceutical development and sustainable manufacturing. As a dedicated mentor, Professor Rueping has supervised numerous graduate students and postdoctoral researchers who contribute to his diverse research portfolio. His laboratory operates state-of-the-art facilities for advanced organic synthesis, photochemistry, electrochemistry, and materials characterization. Current research directions include developing new methodologies for late-stage functionalization of pharmaceutical compounds, creating sustainable approaches to chemical manufacturing, and engineering novel catalytic materials for energy applications. His group's recent expansion into diagnostic technologies (nanobody-based lateral flow assays) demonstrates the versatility and interdisciplinary nature of his research program.

Peng LiView profile

Professor

• Integrated Circuits and Systems
• Brain-Inspired Computing
• Electronic Design Automation
• +6 more

Peng Li is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara. His research focuses on integrated circuits, brain-inspired computing, electronic design automation, and hardware machine learning systems. He holds Fellow status in the Institute of Electrical and Electronics Engineers (IEEE). His work emphasizes neuromorphic engineering, spiking neural networks, and the intersection of machine learning with analog circuit design. Education includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University, an MS in Systems Engineering from Xi'an Jiaotang University, and a BS in Information Science and Engineering from the same institution. His research has been recognized with prestigious awards including the ICCAD Ten-Year Retrospective Most Influential Paper Award and multiple Design Automation Conference Best Paper Awards. Key research trends in his articles include advancements in spiking neural networks (SNNs), hardware accelerators for neuromorphic computing, Bayesian optimization for analog circuit design, and robustness in machine learning systems. He explores topics like adversarial robustness, energy-efficient architectures, and data-efficient prediction techniques. His work bridges theoretical machine learning models with practical hardware implementations, particularly in 3D integration and systolic array acceleration. Notable contributions include pioneering hybrid approaches combining formal verification with machine learning for analog circuits (HFMV framework), and innovations in neuromorphic processors such as the 3D Liquid State Machine architecture. His research also addresses challenges in semiconductor manufacturing, including wafer map pattern recognition and failure detection through semi-supervised learning and contrastive methods. Awards highlight his impactful contributions to both design automation and neural computing. His grants and collaborations likely span industry partnerships in semiconductor technology and neuromorphic computing. He leads a lab focused on next-generation hardware-software co-design for intelligent systems, emphasizing energy efficiency and scalability.