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Brendan BurnsView profile

Associate Professor

• Evolutionary Biology
• Microbial Ecology
• Astrobiology
• +7 more

Associate Professor Brendan Burns is a leading microbial ecologist and astrobiologist at the University of New South Wales (UNSW), where he has served since 2005. Currently Associate Professor at the School of Biotech & Biomolecular Science, he specializes in unraveling the evolutionary and ecological significance of early Earth microbial ecosystems, particularly microbial mats and stromatolites in Shark Bay, Western Australia. His interdisciplinary research bridges prokaryotic and eukaryotic biology, focusing on Asgard archaea as evolutionary "missing links" and microbial dark matter dynamics. Key affiliations: UNSW School of Biotech & Biomolecular Science Collaborations: Australian Centre of Astrobiology, NASA, Department of Parks and Wildlife, Malgana Rangers His research combines biogeochemical fieldwork, functional genomics, and next-generation sequencing to study extremophile systems. This work has critical implications for understanding Earth's origins of life and guiding extraterrestrial biosignature detection. His team addresses United Nations SDGs 13 (Climate Action), 14 (Life Below Water), and 15 (Life on Land) through climate stressor analysis on microbial communities. Recent publications highlight advances in metagenomic analysis of blue holes, viral communities in stromatolites, and bio-optical properties of microbial mats. His 2022 work on eukaryogenesis challenges traditional domain boundaries through Asgard archaea studies. Scientific Recognition: Eureka Prize for Interdisciplinary Research (2005) Tall Poppy Award (2005) Japan Society for the Promotion of Science Fellowship (2004) Kanagawa Museum Award (2003) Young Scientist Awards (1997-2000) He actively promotes Indigenous knowledge integration through partnerships with Traditional Owners in Shark Bay and serves as Honours Coordinator for BABS Research Program. The Burns Lab website provides further details about their cutting-edge research on planetary microbial systems.

• Electronic Design Automation
• High-Level Synthesis
• Machine Learning Applications
• +3 more

Kangwei Xu is a researcher at the Chair of Design Automation (Lehrstuhl für Entwurfsautomatisierung) under Prof. Ulf Schlichtmann at the Technical University of Munich (TUM), actively advancing Electronic Design Automation through AI-driven methodologies. His core research interests include: Electronic Design Automation (EDA) High-Level Synthesis Machine Learning for EDA Neural Network Accelerators Timing Analysis Hardware Reliability Analysis of his 2024-2025 publications reveals a decisive trend in leveraging Large Language Models to revolutionize hardware design flows. Key innovations span automated C/C++ code refactoring (HLSRewriter), behavioral discrepancy testing (HLSTester), and neural network logic optimization, demonstrating how AI integration significantly enhances efficiency and accuracy in EDA toolchains while addressing longstanding challenges in synthesis and verification. Scientific Awards: No awards documented in available sources. Advising and Grants: Public records indicate no formal student advisement roles or individually attributed research grants; his work operates within the broader funded projects of TUM's Design Automation chair. Labs and Teams: Xu contributes to TUM's interdisciplinary Design Automation research group, which spans Analog EDA, Electronic System Level design, Emerging Technologies, Microfluidics, Optical NoC, Novel Microfabrication, Timing Analysis, Neural Networks and Accelerators, and Reliability, maintaining strong industry collaborations and cutting-edge experimental facilities.

Farshad FirouziView profile

Adjunct Assistant Professor

• Edge Computing
• Internet of Things (IoT)
• Artificial Intelligence
• +4 more

Farshad Firouzi serves as an Adjunct Assistant Professor in the Department of Electrical and Computer Engineering at Duke University, where he teaches EGR 393: Research Projects in Engineering. His academic work bridges hardware and software domains with a strong emphasis on practical applications in critical systems. His research spans Edge Computing, Internet of Things (IoT), Artificial Intelligence, Machine Learning, Healthcare Systems, Chip Design, and Reliability Engineering. This interdisciplinary focus manifests in projects ranging from Parkinson's disease monitoring using edge devices to LLM-enhanced chip design and security-hardened neural networks. His work consistently addresses real-world challenges in system dependability, particularly in healthcare and biomedical contexts where failure is not an option. Analysis of his 2024-2025 publications reveals three dominant research thrusts: (1) LLM applications in hardware design (ChipMnd, Spiced), (2) Edge-based healthcare monitoring systems (freezing of gait recognition, blood glucose prediction), and (3) Security and reliability in AI/ML systems (gradient inversion defense, silent data corruption mitigation). His work demonstrates a clear trajectory toward integrating cutting-edge AI techniques with hardware-aware solutions for mission-critical applications. No scientific awards were mentioned in the source materials. The absence of student listings or grant information suggests his current role may be primarily research-focused without formal advising responsibilities. Similarly, no dedicated labs or research teams were referenced in the available documentation.

• Organic Chemistry
• Heterocyclic Compounds
• Antimicrobial Agents
• +2 more

Prof. Hacer Bayrak is a faculty member at the Maçka Vocational School, Karadeniz Technical University, Department of Chemistry and Chemical Processing Technologies. She holds a PhD in Organic Chemistry and has served as Professor (2021-Present), Associate Professor (2015-2021), and Assistant Professor (2014-2015) at the same institution. Education : PhD in Organic Chemistry (2010), Karadeniz Technical University MSc in Chemistry (2006), Zonguldak Bülent Ecevit University BSc in Chemistry (2003), Karadeniz Technical University Her research focuses on Organic Chemistry with emphasis on Heterocyclic Compounds , Antimicrobial Agents , Antioxidants , and Reaction Mechanisms . She has published extensively on hybrid molecules combining antipyrine, triazole, and fluoroquinolone scaffolds for pharmaceutical applications. Notable scientific contributions include microwave-assisted synthesis methods, computational drug design, and molecular docking studies for antimicrobial and antioxidant compounds. Her work spans 33+ peer-reviewed articles in SCI/Scopus journals, with h-index 17 (WoS) and 1191 citations (Scopus). Professional Roles : Assistant Director of Vocational School (2017-2022) Chairperson of TSE Mirror Committee on Risk Management (2022-Present) Member of Turkish Higher Education Quality Council (2022-Present) Over 12 years of experience in quality management training with TURKAK and TSE

• Microelectronics
• Image Sensors
• Bio-inspired Algorithms
• +3 more

Juan Antonio Leñero Bardallo is a Professor at the University of Seville, Faculty of Physics, Department of Electronics and Electromagnetism. His research focuses on bio-inspired microelectronics, event-driven vision sensors, and CMOS integration techniques. Research Group: MICROELECTRÓNICA ANALÓGICA Y DE SEÑAL MIXTA Key Projects: SAMANTA2 (robotic vision), CAVIAR (event-based vision), VULCANO (event-driven imaging) His work spans asynchronous image sensors, thermography for medical diagnostics, stacked diodes for energy harvesting, and neuromorphic engineering. Recent publications highlight low-power sun sensors, self-powered imaging systems, and thermographic applications in dermatology. He has contributed to books on analog electronics and radiation detection. Patents include solar position sensors and electron energy detectors for scanning electron microscopy. His teaching subjects cover experimental techniques, integrated sensor design, and bio-inspired algorithms.

• Microwave Photonics
• Optical Frequency Combs
• RF Photonics
• +4 more

Jason D. McKinney serves as an Associate Professor in the Department of Electrical and Computer Engineering at Purdue University's College of Engineering, West Lafayette campus. He maintains dual office locations in MSEE 260 (ECE) and MSEE 270 (Vertically Integrated Projects program), with contact via mckinnjd@purdue.edu or (765) 496-0959. Dr. McKinney's research spans microwave photonics, quantum optics, and RF engineering with emphasis on optical frequency combs and photonic signal processing. His work addresses critical challenges in wideband RF spectral analysis, nonlinear distortion mitigation, and integrated photonic circuit design. Key contributions include Rayleigh backscattering-based spectrometry, Vernier-stabilized microcombs, and stimulated Brillouin scattering applications for comb control. His research bridges fundamental optical phenomena with defense and telecommunications applications requiring high-fidelity RF signal handling. Analysis of his 2022-2025 publications reveals accelerating innovation in quantum photonics and practical microwave photonics implementations. Recent work demonstrates progression from component-level advances (e.g., multicore fibers) to system architectures for compact downconversion and wideband analysis. His quantum-focused 2025 publications indicate strategic expansion into quantum nonlocality applications while maintaining core expertise in RF photonic link optimization. Scientific Awards: No awards were documented in the provided source material. Dr. McKinney actively mentors students through Purdue's Vertically Integrated Projects (VIP) program, overseeing multi-year research initiatives that integrate undergraduates into advanced photonics projects. While specific grant details are absent from the source text, his publication trajectory suggests sustained funding in microwave photonics from defense and communications-focused agencies. His advisory role extends beyond VIP to traditional graduate supervision, though student names weren't specified in the available documentation. His laboratory work centers on experimental microwave photonics within Purdue's Electrical and Computer Engineering facilities, with emphasis on optical frequency comb generation, RF photonic link characterization, and integrated photonic circuit testing. The VIP program affiliation indicates team-based research structures engaging cross-disciplinary student cohorts in long-term photonics system development.

Eduardo José dos Foros Santos GonçalvesView profile

Assistant Professor

• Sustainability
• Industrial Design
• Lighting Design
• +8 more

Eduardo José dos Foros Santos Gonçalves is an Assistant Professor in the field of Design at Universidade Europeia, with a PhD in Design. He has been affiliated with IADE-Universidade Europeia since 2003, contributing to design education and research, and is a full member of the UNIDCOM research unit, where he served as Executive Director from 2018 to 2021. His work bridges academic research and practical applications in design, particularly focusing on sustainability and human-centered approaches. PhD in Design (2016, Faculty of Architecture of Lisbon) Master in Urban Design (2006, Universitat de Barcelona) Bachelor in Industrial Design (2000, IADE) His research spans multiple disciplines, emphasizing Sustainability , Industrial & Lighting Design , and the integration of Machine Learning and Robotics into design practices. He explores how Environmental Psychology and Design for Behaviour Change can shape sustainable solutions, and his work often involves Analogue and Digital Modelling for prototyping and Statistics in design analysis. Recent publications highlight his focus on crisis resilience, such as the 2023 Shelter Project for earthquake survival, and the 2022 study on Virtual Reality in design education. His 2021 papers address gender-neutral toy design and kitchen-based food waste reduction, reflecting his commitment to Design for Social Change and Sustainable Innovation . Earlier works (2019, 2017) explore ideation techniques and public lighting, respectively. He has supervised several Master’s and PhD students, including Neves Pimenta (2022) on kitchen sustainability and Dos Santos (2018) on creativity metrics. Active in academic governance, he participates in international conference committees and serves on the editorial board of DISCERN Journal , promoting design-driven sustainable solutions.

• Photochemistry
• Photosensitizers
• Antimicrobial compounds
• +5 more

Prof. Dr. Bianka Siewert is a Professor and Working Group Leader at the Institute of Pharmacy within the Department of Chemistry at the MIN Faculty of University of Hamburg. Her research group (AK Siewert) focuses on light-activated infection control and is based at Federal Highway 45, 20146 Hamburg in room U16, PHA. The group is part of the university's broader chemistry research infrastructure that includes multiple institutes and research collaborations. Dr. Siewert's research interests center on photochemistry and the application of light-activated compounds for antimicrobial purposes. Her work primarily investigates fungal photosensitizers, particularly anthraquinones and related pigments from Cortinarius species, with applications in photodynamic therapy and infection control. She explores the chemical properties, ecological roles, and pharmaceutical potential of these naturally occurring photoactive compounds, bridging natural products chemistry, medicinal chemistry, and photobiology. Analysis of her recent publications reveals a strong focus on fungal-derived photosensitizers, particularly anthraquinones from Cortinarius species. Her research spans multiple disciplines including natural products chemistry, photochemistry, antimicrobial research, and analytical chemistry. Key trends include the discovery and characterization of novel photoactive compounds, development of separation methods for fungal pigments, investigation of light-dependent fungal metabolism, and exploration of applications in photodynamic antimicrobial therapy. Prof. Siewert leads a research team consisting of secretariat staff (Britta Bühring), technical employees (Philipp Groth, Antje Schnasse), research assistants (Dr. Anke Heisig), doctoral students (Lorena Kubiczek, Malte Austria), and visiting scientists (Ulrich Sturm). Her group collaborates extensively with researchers across multiple institutions, particularly in the fields of mycology, natural products chemistry, and photobiology.

• Astrophysics
• Computational Astrophysics
• Cosmology
• +5 more

Benjamin Bromley is a Professor of Physics & Astronomy at the University of Utah, where he has been a faculty member since 1998. He leads research in theoretical and computational astrophysics within the Department of Physics and Astronomy in the College of Science. His academic credentials include: BA in Chemistry/Physics from Middlebury College (1982) MS in Physics from University of Vermont (1987) PhD in Physics from Dartmouth (1994) Following his doctorate, he completed postdoctoral research at Los Alamos National Laboratory (1994-1996) and Harvard University (1996-1998) before joining the University of Utah faculty. Professor Bromley's research spans multiple frontiers of astrophysics, with particular emphasis on astrophysical cosmology, relativistic phenomena around supermassive black holes, and planet formation processes. His work investigates the large-scale structure of the universe, the search for Planet Nine in our Solar System's outer reaches, and innovative approaches to climate change mitigation through space-based engineering. Much of his computational research utilizes NASA supercomputers to model complex astrophysical systems. His recent publications (2022-2025) reveal a consistent research trajectory focused on planetary system dynamics, particularly the Pluto-Charon system, protoplanetary and debris disks, and novel applications of astrophysical principles to climate science. He frequently collaborates with researchers like Scott Kenyon and integrates data from missions like Gaia into his theoretical frameworks. Among his professional recognitions are multiple 'Best undergrad seminar' awards (2010, 2014). He actively engages in community outreach through 'Astronomy on Tap' public talks and presentations to local school districts. Professor Bromley has secured continuous research funding from NASA, the Smithsonian Astrophysical Observatory, and other agencies, supporting projects from 1999 through projected work in 2027. His teaching spans from introductory astronomy courses for non-majors to advanced graduate courses, with special emphasis on training students in computational techniques essential for modern astrophysical research.

• Machine Learning
• Quantum Computing
• Natural Language Processing
• +3 more

William Henrich Due serves as a Lecturer at the Department of Computer Science (DIKU), University of Copenhagen, within the Machine Learning section. His work intersects with the SCIENCE AI Centre and leverages the department's high-performance compute cluster for research in quantum computing, sustainable AI, and medical applications. Research focuses span quantum machine learning (biomolecular simulations, photonic processors), sustainable AI systems (energy efficiency, climate impact), and clinical applications (EEG analysis, medical imaging). His recent publications reveal strong activity in quantum-classical hybrid systems, with 8/15 recent papers addressing quantum computing challenges. The work emphasizes practical implementations in medical imaging and resource-constrained environments. His research aligns with DIKU's Machine Learning section priorities including medical imaging biomarkers and sustainable computing. Key infrastructure includes TreeSense for remote sensing and the department's dedicated compute cluster. No scientific awards were explicitly documented in the provided materials. Due contributes to DIKU's teaching mission as a Lecturer while engaging with the SCIENCE AI Centre's interdisciplinary initiatives. His work connects with medical imaging applications and quantum computing infrastructure development. Active in the Machine Learning section's research ecosystem, his work intersects with medical imaging analysis and quantum computing applications, utilizing specialized resources like TreeSense for environmental monitoring.

Diego Fregolent Mendes de OliveiraView profile

Assistant Professor

• Complex Network Systems
• Information Propagation
• Cyberspace Integrity
• +9 more

Diego Fregolent Mendes de Oliveira serves as an Assistant Professor at the University of North Dakota's School of Electrical Engineering & Computer Science. His academic career includes postdoctoral positions at the University of Maryland, Statistical and Applied Mathematical Sciences Institute (SAMSI), University of North Carolina, Northwestern University, and research scientist roles at Rensselaer Polytechnic Institute and the Army Research Lab. His research focuses on Complex Network Systems including data analysis, machine learning, agent-based modeling, and computational social science, with specific emphasis on information diffusion and trust in social computing systems. He also investigates Chaos and Dynamical Systems phenomena including nonlinear dynamics, chaotic attractors, and bifurcation theory. Another significant research strand examines Diversity, Equity, and Inclusion (DEI) in science, particularly gender disparities in academic publishing and career progression. Analysis of his publication trends reveals consistent contributions to understanding information propagation mechanisms, with recent work focusing on quality bias in information spread, hashtag dynamics on Twitter, and modeling virality of low-quality information. His research bridges theoretical network science with practical applications in social media analysis and computational social science. His collaborative work has involved prominent researchers including Prof. Peter Mucha, Prof. M. Gregory Forest, Prof. David Banks, Prof. Boleslaw K. Szymanski, Dr. Kevin S. Chan, Prof. Luís Amaral, and Prof. Brian Uzzi across multiple institutions. Dr. Oliveira maintains active research development through GitHub repositories focused on misinformation spread, quality bias analysis, and social network dynamics, demonstrating continued engagement with computational methods for understanding complex social-technical systems.

• Medicinal Chemistry
• Organic Synthesis
• Antimicrobial Resistance
• +3 more

Dianqing Sun, Ph.D. , is a Professor in the Department of Pharmaceutical Sciences at the Daniel K. Inouye College of Pharmacy, University of Hawaiʻi at Hilo. He holds a Master and Ph.D. in Organic Chemistry from East China University of Science and Technology and the University of Memphis, respectively, and completed postdoctoral training in Medicinal Chemistry at the University of Tennessee Health Science Center. Master, Organic Chemistry - East China University of Science and Technology, Shanghai, China Ph.D., Organic Chemistry - The University of Memphis, TN, USA Postdoctoral Fellow, Medicinal Chemistry with Richard Lee - University of Tennessee Health Science Center, TN, USA Dr. Sun's research focuses on medicinal chemistry , organic synthesis , and drug discovery for antimicrobial resistance and anticancer agents . His work includes solid-phase synthesis , macrocyclic compounds , and structure-activity relationships . Recent publications highlight advancements in antibiotic hybrids , natural product chemoprevention , and microwave-assisted chemical methods . He has received multiple honors, including: Student Choice Award for Teaching Pharmaceutical Sciences (2021, 2020, 2019) Excellence in Scholarly/Creative Activities Award, UH Hilo (2017) AACR Minority-Serving Institution Faculty Scholar in Cancer Research Award (2016) Gordon Research Conference Awards (2014, 2005) Dr. Sun has secured grants from the Department of Defense, NIH (R01, R21, R15), INBRE, Hawaii Community Foundation, and UH Cancer Center, focusing on antibacterial development , anticancer research , and drug efflux mechanisms .

Teague HenryView profile

Assistant Professor

• Network Science
• Quantitative Psychology
• Neuroscience
• +7 more

Teague Henry is an Assistant Professor at the University of Virginia with joint appointments in the Department of Psychology (Quantitative Psychology program) and the School of Data Science . His work bridges network science, dynamical systems modeling, and Bayesian estimation to analyze complex data in neuroscience, clinical science, and natural language processing. Methodological expertise: Graph theory, exponential random graph models, functional neuroimaging Substantive applications: Autism, ADHD, semantic networks, social media topic analysis His research spans functional connectivity, network psychometrics, and language networks, with a focus on cross-disciplinary similarities in network data. Recent publications emphasize time-series modeling, imputation methods, and neurodevelopmental disorders. Software development: R packages like gimme and netjack Future student advising: Plans to recruit graduate students starting 2022-2023

Melissa CameronView profile

Assistant Professor

• Computer Science
• Parallel Computing
• Education Technology
• +3 more

Melissa Cameron is an Assistant Professor of Computer Science at Virginia Tech's Institute for Advanced Computing on the Innovation Campus. She previously served as an adjunct professor at Radford University (2015–2020) and was employee #3 at MiserWare, a power management software company spun out of Virginia Tech. Her career transitioned from chemistry—holding B.S. (University of Florida), M.S., and Ph.D. (Louisiana State University)—to computer science, completing an MS in CS at Virginia Tech. Her research focuses on parallel computing education, notably developing "Parallel Islands," an interactive game to teach parallel programming concepts to diverse audiences. Education: Bachelor of Science in Chemistry, University of Florida Master of Science in Chemistry, Louisiana State University Ph.D. in Chemistry, Louisiana State University Master of Science in Computer Science, Virginia Tech Research Interests: Melissa's work bridges computer systems and education, emphasizing accessible tools for parallel computing education. Her MS thesis, "Parallel Islands: A Diversity Aware Tool For Parallel Computing Education," highlights her commitment to democratizing technical education through interactive media. She also explores software engineering pedagogy and the design of inclusive learning environments. Articles: Her recent publications focus on educational technology for parallel computing, while earlier work in chemistry addresses nucleic acid synthesis and enzymatic properties. This dual focus reflects her interdisciplinary background and transition from laboratory science to computational education. Advising/Grants: While no advisees are listed, her entrepreneurial role at MiserWare (2006–2014) and group leadership at Los Alamos National Laboratory demonstrate collaborative leadership. No grants are specified in her profile. Labs/Teams: Previously contributed to MiserWare’s energy-efficient software initiatives and research at Los Alamos National Laboratory’s Parallel Architecture Lab. Currently part of Virginia Tech’s Institute for Advanced Computing.

Emily BakerView profile

Assistant Professor

• Digital Fabrication
• Computational Design
• Material Innovation
• +4 more

Emily Baker is an Assistant Professor of Architecture at the Fay Jones School of Architecture and Design, University of Arkansas. Her work integrates digital fabrication, computational design, and hands-on material experimentation to innovate structural and construction systems. She mentors students in design/build projects and teaches courses like Structures, Fabrication Studios, and High Tech|Low Tech: Spatial Computing. Education: MARCH, Architecture, Cranbrook Academy of Art Research Interests: Baker explores the intersection of digital tools and tactile processes. Key projects include the Zip Form system (patent-pending with University of Arkansas Tech Ventures) and the Spin-Valence space frame, acquired by Cranbrook Art Museum. Her work emphasizes material intelligence and haptic learning, blending analog craftsmanship with computational precision. Awards & Recognition: 2020 AISC Early Career Faculty Award ACSA Design Build Award AIA Design Merit Award Teaching & Advising: Advised Keswa public art project (Christo/Jeanne-Claude Award-funded) and co-developed the Audi-Fab Design Build Research Studio. Courses include ARCH 2113 Structures I, ARCH 5026 Option Studio II, and the High Tech|Low Tech elective. Labs & Collaborations: Collaborates with MIT, Arup Engineers, and the Honors College. Her work is featured in journals like Journal of Architectural Education and conferences such as Advances in Architectural Geometry.