جست‌وجوی استاد و پژوهشگر

• RF and Microwave Engineering
• Power Amplifiers
• Digital Transmitters
• +۴ مورد دیگر

Leonardus Cornelis Nicolaas de Vreede is a Professor at Delft University of Technology in the Faculty of Electrical Engineering, Mathematics and Computer Science. With over 237 research publications and extensive conference activities, he is a leading researcher in RF and microwave engineering with specialization in power amplifiers, digital transmitters, and mm-wave circuits for wireless communications applications. Dr. de Vreede's research focuses on the intersection of circuit design and signal processing for next-generation wireless systems: Advanced Power Amplifier Architectures including Doherty and Out-phasing techniques Energy-Efficient Digital Transmitters with high linearity and power efficiency mm-Wave Circuit Design for 5G/6G applications Machine Learning Applications for Digital Predistortion CMOS RF Integrated Circuit Implementation Wideband Signal Processing Techniques His recent publications demonstrate a clear research trajectory toward integrating machine learning with traditional RF circuit design to solve the efficiency-linearity tradeoff in wireless transmitters. This work is particularly relevant for current and future wireless infrastructure requiring high spectral efficiency across wide bandwidths while maintaining energy efficiency. Dr. de Vreede has received significant recognition for his contributions to the field: EuMC Microwave Prize (2024) for groundbreaking work on wideband Doherty amplifiers Recognition for innovative characterization techniques for high-power RF transistors (2015) As an active researcher and educator, Dr. de Vreede has supervised 16 students and regularly participates in major international conferences including serving on program committees for the IEEE MTT-S International Microwave Symposium. His work bridges theoretical advances with practical implementations for wireless infrastructure applications, with numerous patents and industry collaborations evident from his research portfolio.

Harikesh S. Wongمشاهده پروفایل

استادیار

• Immunology
• Cell Biology
• Autoimmunity
• +۳ مورد دیگر

Harikesh S. Wong is an Assistant Professor of Biology and Core Member at the Ragon Institute of MGH, MIT, and Harvard. His research focuses on understanding how immune responses are controlled in tissues to balance host protection against threats like pathogens and tumors while avoiding excessive damage. He combines immunology, microscopy, computational methods, and gene manipulation to study immune response regulation in intact tissues. Education: PhD in 2016 from University of Toronto; BSc in Biochemistry from McMaster University (2010) His lab investigates mechanisms of immune homeostasis, including regulatory T cell feedback circuits and mesoscale T cell antigen discrimination. Recent work explores autoimmune disease susceptibility linked to IL-2 feedback circuit fragility and the role of commensal bacteria in liver immune zonation. Key findings include demonstrating how local regulatory T cells prune self-activated T cells and how interleukin 2 circuitry variations influence autoimmune risk. Articles highlight interdisciplinary approaches to dissect immune system control mechanisms. No scientific awards explicitly mentioned. Grants and advising details are not provided in the text. Labs/Teams: Wong Lab at the Ragon Institute focuses on immune system design principles and disease-related breakdowns in control mechanisms.

Rachael Bayمشاهده پروفایل

دانشیار

• Evolutionary Biology
• Ecology
• Genomics
• +۴ مورد دیگر

Rachael Bay is an Associate Professor in the Department of Evolution and Ecology at the University of California, Davis. She investigates how human-induced environmental changes intersect with evolutionary processes, focusing on climate change impacts across diverse species. Education: B.S. in Marine Science/Biology, University of Miami (2008) M.Sc. in Biology, Dalhousie University (2010) Ph.D. in Biology, Stanford University (2015) Her research combines ecological experiments, physiological studies, and large-scale genomic analysis to explore evolutionary responses to anthropogenic stressors. Key areas include climate adaptation in migratory birds, coral resilience, and conservation genomics. Recent publications highlight genomic shifts linked to climate change, thermal tolerance mechanisms in corals, and migratory behavior dynamics. Her work emphasizes using evolutionary insights for proactive conservation strategies. Scientific Awards: Packard Fellowship (2021) Sloan Fellowship (2019) UC Davis Top Safety Award (2022) Bay is affiliated with the Center for Population Biology and graduate groups in Integrative Genetics & Genomics and Population Biology. She leads the Bay Lab, which focuses on eco-evolutionary dynamics in marine and avian systems.

Mohsen Yoosefzadeh Najafabadiمشاهده پروفایل

استادیار

• Dry Bean Breeding
• Computational Biology
• Omics-Based Selection
• +۵ مورد دیگر

Dr. Mohsen Yoosefzadeh Najafabadi is an Assistant Professor in the Department of Plant Agriculture at the University of Guelph, Ontario Agricultural College. He holds a PhD in Plant Breeding from the University of Guelph (2022), following M.Sc. and B.Sc. degrees from the University of Tehran. His research focuses on dry bean breeding, computational biology, and integrating omics technologies to enhance crop resilience and productivity. Key areas include developing stress-tolerant dry bean varieties, leveraging remote sensing for trait prediction, and optimizing genomic selection methods. He leads the Dry Bean Breeding & Computational Biology Program and has contributed to over 30 peer-reviewed publications since 2017. Education : PhD, Plant Breeding, University of Guelph (2022) M.Sc., University of Tehran B.Sc., University of Tehran Research interests emphasize computational tools development (e.g., AllInOne preprocessing framework), omics-based selection strategies, and non-Mendelian heredity mechanisms. His lab combines machine learning with field phenotyping to address agricultural challenges such as disease resistance and climate adaptation. Collaborative projects include soybean cold stress analysis and cannabinoid profile prediction in cannabis. Publications span genomic approaches to crop improvement, remote sensing applications, and transcriptomic studies. He teaches courses in plant breeding methodologies and actively engages in technology transfer initiatives. Lab activities include developing high-yielding dry bean cultivars resistant to biotic/abiotic stresses and advancing data-driven pipelines for crop breeding. Future work aims to synergize AI with multi-omics data to enhance crop resilience in diverse environments.

Travis Robbinsمشاهده پروفایل

استادیار

• Ecology
• Evolutionary Biology
• Physiological Adaptations
• +۵ مورد دیگر

Travis Robbins is an Assistant Professor of Biology at the University of Nebraska Omaha's College of Arts and Sciences. His research focuses on ecological and evolutionary adaptations in reptiles, particularly lizards, emphasizing thermal biology, epigenetics, and responses to environmental stressors such as invasive species. He holds a Ph.D. in Biology and has published extensively on topics including latitudinal clines in lizard physiology, predator-prey dynamics, and the effects of temperature on developmental and metabolic processes. Key research interests include understanding how lizards adapt to thermal environments, the role of epigenetic mechanisms in phenotypic plasticity, and the impacts of invasive species on native populations. His work integrates field observations with controlled laboratory studies to explore questions at the interface of ecology, physiology, and evolution. Recent studies investigate the physiological stress responses in lizards exposed to novel predators and the transgenerational effects of environmental challenges. Dr. Robbins' publications highlight trends in thermal adaptation, behavioral plasticity, and the ecological consequences of anthropogenic changes. His work on Sceloporus lizards has been particularly influential in elucidating mechanisms underlying latitudinal variation in body size, growth rates, and reproductive strategies. He has also examined how invasive species like fire ants affect predator-prey interactions and immune function in reptiles. No scientific awards are explicitly mentioned in the text, but his contributions include significant grants likely tied to fieldwork and laboratory research. He advises students in experimental ecology and conservation biology, though specific advisee names are not listed here. His research extends to habitat restoration and citizen science initiatives, emphasizing community engagement in ecological monitoring and conservation efforts. Dr. Robbins is affiliated with UNO's Biology Department and collaborates with institutions like the University of South Florida on projects involving epigenetic markers in herpetofauna. His lab focuses on translating ecological epigenetics into actionable insights for species conservation under climate change scenarios.

William Balchمشاهده پروفایل

استاد

• Proteostasis
• Genetic Variation
• Machine Learning in Biology
• +۶ مورد دیگر

William Balch, PhD, is a Professor in the Department of Molecular and Cellular Biology at Scripps Research. His research focuses on linking genetic variation in human populations to protein function using machine learning tools like Gaussian Process (GP) modeling. He pioneered concepts in proteostasis and spatial covariance, exploring how genetic and environmental factors influence protein folding and disease. Education: Ph.D. in Microbiology from University of Illinois (1979) Research interests include inherited diseases (e.g., CFTR, AATD, NPC1), aging-related proteostasis collapse, and host-pathogen interactions in SARS-CoV-2. His lab develops computational platforms to model protein design and discover therapeutic interventions. Key projects involve GP-based analysis of genetic diversity, small molecule therapeutics targeting chaperone systems, and understanding viral evolution via spatial covariance. His work bridges genomics and phenomics to address disease mechanisms at atomic resolution. Grants and collaborations focus on protein-folding correction, with applications in precision medicine and climate change mitigation through RuBisCo optimization in plants.

• Genomic Medicine
• Translational Medicine
• Immunogenetics
• +۴ مورد دیگر

Julian Knight is a Professor of Genomic Medicine at the University of Oxford, with affiliations including the Centre for Human Genetics , Merton College , and leadership roles in the NIHR Oxford Biomedical Research Centre and Central and South NHS Genomic Medicine Service . His work bridges clinical practice and research, focusing on translational genomics. Principal Investigator Deputy Director, Centre for Human Genetics Honorary Consultant Physician Tutor and Fellow, Merton College Director, Medical Sciences Division Graduate School Genomic Medicine Theme Lead, NIHR Oxford BRC Research interests include mechanisms of dysregulated immune responses in sepsis , autoimmune disease , and infection . Key contributions involve RNA signature stratification for sepsis outcomes and HLA allele associations in COVID-19 immunogenicity. Current work explores genetic/epigenetic modulators of innate immunity and causal relationships in multi-omic datasets. Recent publications highlight diverse applications of his group’s work: from pleural infection endotyping (2025) to TLR7 variants in severe COVID-19 (2024), with methodological advancements in single-cell demultiplexing (2024) and pathway analysis (2025). Keywords span genomic medicine , immunology , and multi-omic integration . Knight’s leadership extends to clinical implementation of genomics, education (DPhil/MSc programs), and public engagement. Collaborations span institutions including Imperial College , Wellcome Sanger Institute , and Queen Mary University of London .

Tsun-Ming Tsengمشاهده پروفایل

استاد

• Microfluidic Large-Scale Integration
• Optical Network-on-Chip
• Microfabrication
• +۳ مورد دیگر

Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.

• Mathematical Finance
• Probability Theory
• Stochastic Analysis
• +۵ مورد دیگر

Sigrid Källblad Nordin is an Associate Professor at KTH Royal Institute of Technology, affiliated with the Department of Mathematics (Division of Probability, Mathematical Physics, and Statistics). Her research focuses on Mathematical Finance, Probability Theory, and Stochastic Analysis, with an emphasis on measure-valued processes, martingale optimal transport, and model uncertainty. She holds a DPhil from the University of Oxford (2014). Her work bridges theoretical advancements in stochastic control, optimization, and financial applications. Recent research includes Bayesian optimal adaptive control, robust option pricing, and dynamically consistent investment strategies under uncertainty. She teaches courses such as Financial Mathematics and Financial Derivatives, and supervises PhD students Linn Engström and Chaorui Wang. Publications span journals like Annals of Applied Probability , Finance and Stochastics , and SIAM Journal on Control and Optimization , reflecting contributions to optimal transport, stochastic processes, and financial modeling. She is currently hiring a new PhD student and welcomes inquiries about master thesis supervision.

Dawn Louise Maskellمشاهده پروفایل

استاد

• Yeast physiology
• Brewing science
• Fermentation technology
• +۴ مورد دیگر

Dawn Louise Maskell is a Professor in the Institute of Biological Chemistry, Biophysics and Bioengineering within the School of Engineering & Physical Sciences at Heriot-Watt University. Her academic career spans brewing science, yeast physiology, and sustainable fermentation processes, with significant contributions to both academic research and industry applications. Education BSc (Hons) in Brewing & Distilling PhD in Brewing Yeast Physiology Diploma in Brewing from the Institute of Brewing & Distilling Professor Maskell's research focuses on yeast physiology, particularly how stress impacts brewing yeast performance and fermentation. Her work has expanded to encompass all aspects of yeast and fermentation science with emphasis on process improvements for sustainability. She actively contributes to UN Sustainable Development Goals through her research on circular economy approaches in brewing and distilling. Her publication portfolio reveals consistent scholarly output with 29 research contributions, showing increased productivity in recent years (5 publications in 2021 alone). The research trends demonstrate a clear progression from fundamental yeast physiology studies toward applied sustainability research, particularly in carbon dioxide valorization from fermentation and circular economy innovations in the brewing industry. Scientific Recognition Fellowship of the Chartered Institute of Brewers and Distillers (awarded July 2, 2025) Professor Maskell maintains significant professional engagement through multiple leadership roles. She serves on the Board of Directors of the American Society of Brewing Chemists (since 2021), chairs their Technical Committee, and sits on the Editorial Board of the Journal of the American Society of Brewing Chemists. She has been part of the Institute of Brewing & Distilling's Board of Examiners for the Diploma in Brewing since 2014. Her impact extends beyond academia through the Horizon Proteins project, which develops circular economy innovations converting whisky by-products into fish feedstock with documented economic and environmental benefits. Her professional standing is further evidenced by her status as a Liveryman of the Worshipful Company of Distillers and an Honorary Liveryman of the Worshipful Company of Brewers, along with holding the Freedom of the City of London.

• Analog and mixed-signal integrated circuit design
• Computer-aided design (CAD) of electronic circuits
• Design automation (EDA)
• +۵ مورد دیگر

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.

Giulia Semeghiniمشاهده پروفایل

استادیار

• Quantum Computing
• Quantum Information Science
• Condensed Matter Physics
• +۳ مورد دیگر

Giulia Semeghini is an Assistant Professor of Applied Physics at Harvard University's School of Engineering and Applied Sciences (SEAS) . Her research focuses on experimental investigations of highly-entangled phases of matter and quantum information processing using programmable atom arrays. The Semeghini Lab, part of the Harvard Quantum Initiative (HQI) and the Center for Ultracold Atoms (CUA), explores intersections between condensed matter physics, high-energy physics, and quantum chemistry. Key achievements include assembling an ultra-high vacuum chamber for atom arrays in 2024 and relocating to the Goel building (HQI's new home) in April 2024. The lab actively recruits students and researchers for open positions at all levels. Research themes span quantum simulation, topological qubits, entanglement engineering, and scalable quantum architectures. Publications emphasize quantum gate implementations, hybrid atom systems, and variational Monte Carlo enhancements. No scientific awards are explicitly listed, but contributions to quantum hardware and algorithms are notable. The lab collaborates widely, aiming to bridge theory and experiment in quantum technologies.

Mehdi Kabbageمشاهده پروفایل

استاد

• Necrotrophic fungal pathogenesis
• Programmed cell death in plants
• Plant-microbe interactions
• +۴ مورد دیگر

Mehdi Kabbage is a Professor and Director of Graduate Studies in the Department of Plant Pathology at the University of Wisconsin-Madison . His research focuses on necrotrophic fungal pathogenesis, particularly the role of oxalic acid and programmed cell death (PCD) in plant-pathogen interactions. He teaches courses in fungal biology and plant-microbe interactions. Education : Ph.D. in Plant Pathology (Kansas State University), M.S. in Plant Pathology (Kansas State University), B.S. in Engineering (Ecole d'Ingénieurs de Purpan, France) Dr. Kabbage investigates how Sclerotinia sclerotiorum manipulates plant PCD through oxalic acid secretion and explores strategies to inhibit this process for crop protection. His work spans molecular mechanisms of fungal virulence, plant stress tolerance, and genetic resistance in soybeans. Recent publications highlight his research on fungal effector proteins, host-induced gene silencing, oxalic acid signaling, and autophagy-based resistance strategies. He collaborates extensively on soybean and dry bean pathosystems, with a focus on integrated disease management and climate resilience. His lab develops transgenic approaches for stress tolerance, studies BAG protein family functions in plant defense, and investigates fungal enzymatic virulence factors like alcohol oxidases and laccases. Current projects include chemical genomics for resistance pathway discovery and novel antifungal agents such as poacic acid.

Julia Schlüterمشاهده پروفایل

استاد

• Corpus Linguistics
• Language Variation and Change
• Historical Linguistics
• +۷ مورد دیگر

Professor Julia Schlüter is a distinguished academic in the Chair of English Linguistics within the Humanities Faculty at the University of Bamberg, Germany. She has served as Senior Lecturer at the Chair of English Linguistics and Language History under Prof. Manfred Krug since June 2008, holding the title of Professor following her habilitation in 2008. Her institutional profile demonstrates deep commitment to both research and teaching innovation, particularly through her leadership of the KorPLUS project and development of open educational resources for corpus linguistics. Her research interests span corpus linguistics for English language learners, empirical methods for studying language variation and change, and the application of corpus methods to teaching. She specializes in examining grammatical, phonological, and lexical differences between British and American English across historical periods from Middle English to present-day usage. Her work investigates phonological variation (particularly phonotactically controlled alternations), morphological change, and syntactic variation through corpus analysis, with special attention to functional grammar and grammaticalization theory. Professor Schlüter's recent publications (2022-2025) reveal a strategic evolution in her research focus, with increasing emphasis on the intersection of corpus linguistics and digital education. While maintaining her foundational work in historical English linguistics, she has developed significant expertise in applying corpus methods to language teacher education and evaluating AI writing tools. Her work demonstrates consistent methodological innovation, moving from traditional corpus analysis to blended learning approaches and digital educational resource development. Her scientific recognition includes: Winner of the 2025 Teaching Innovation Prize from the International Society for the Linguistics of English for the KorPLUS project University of Bamberg Prize for outstanding habilitation (2009) Lise Meitner Programme post-doctoral scholarship (2005-2006) Rectorate Prize from University of Paderborn for outstanding Ph.D. thesis (2005) Multiple DAAD scholarships for international study Professor Schlüter actively supervises doctoral research, currently guiding three Ph.D. candidates (Katharina Deckert, Aklima Nahar, and Nikolai Beland) while having successfully completed supervision for several others. She leads the KorPLUS project (2021-2025), funded by the Stiftung Innovation in der Hochschullehre, which develops open educational resources for corpus linguistics. Her research has been consistently supported by the German Research Foundation (DFG) and other funding bodies throughout her career. She heads the KorPLUS team (with Carina Großmann and Katharina Deckert) which develops the interactive Open Educational Resource platform for corpus linguistics. Her YouTube channel offers video tutorials on corpus basics, and she has created the Video Podcast Series "How to Update your Grammar" for English teachers. She regularly organizes in-service teacher trainings and collaborates with the Virtual Linguistics Campus at RWTH Aachen University to deliver her educational materials globally.

Sani Nassifمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Energy Analysis
• Integrated Circuits
• +۴ مورد دیگر

Sani Nassif is a Research Fellow at the Technical University of Munich (TUM) under the Rudolf Diesel Industry Fellowship, hosted by Professor Ulf Schlichtmann. With 28 years of experience at Bell Labs and IBM Research, he has led teams in integrated circuit modeling, simulation, statistical analysis, and optimization. Research Interests: His work bridges integrated circuit technology with cross-disciplinary applications in medicine. Key areas include variability analysis in semiconductor manufacturing, low-power circuit design, and reliability engineering for nano-scale systems. He focuses on applying machine learning and statistical methods to solve challenges in energy-efficient computing and biomedical systems. Selected Publications: His research spans circuit variability trends, leakage current modeling, and reliability frameworks for nano-era systems. Work includes foundational studies on SRAM failure analysis and CMOS scaling limitations. Scientific Awards: He is recognized as an IEEE Fellow IBM Master Inventor (75 patents) Rudolf Diesel Industry Fellow