جست‌وجوی استاد و پژوهشگر

• Soil Biology
• Crop Productivity
• Sustainable Agriculture
• +۴ مورد دیگر

Hesam Mousavi is an Associate Professor in Soil Biology and Crop Productivity at the University of Inland Norway , affiliated with the Faculty of Applied Ecology, Agricultural Sciences and Biotechnology and the Department of Agricultural Sciences . His research focuses on sustainable plant production and soil management, particularly under environmental stress conditions like drought, salinity, and pathogenic factors. Key research areas include: Soil-plant interactions Nutrient turnover and uptake Crop stress tolerance mechanisms Climate change adaptation strategies Organic fertilizer dynamics Recent publications demonstrate a strong trend in: Applying machine learning for wheat yield prediction Evaluating plasma-treated agricultural inputs Developing climate-resilient crop systems Investigating soil fauna responses to novel fertilizers Advancing salt-tolerant wheat breeding Scientific contributions include Norway's representation in COST Action CA22144 - Sustainable use of salt-affected lands (SUSTAIN) , and participation in multidisciplinary agricultural research projects like MUSA - Mushrooms for Sustainable Agriculture .

• Human Relations and Workplace
• Migration Studies
• Agriculture Systems
• +۳ مورد دیگر

Dr Jacob Kambuta serves as a Lecturer in the Department of Land Management and Systems at Lincoln University, New Zealand, with active roles in research, teaching, and administration including Secretary of the Yunus Centre since 2020. His work bridges agricultural management and social sciences with practical industry experience from New Zealand dairy farms and Zambian agriculture. His educational qualifications include a PhD from Lincoln University, Master of International Studies (MInt) from the University of Otago, and Bachelor of Social Work with Honors (BSWC) from the University of Otago. He is fluent in Chinese (Mandarin) for academic and professional communication. Research focuses on migrant integration in agriculture , sustainability frameworks (economic/social/environmental), and rural development . His signature work examines skilled migrant dairy workers' retention through mixed-methods approaches, while recent projects explore precision farming gamification and tourism location decisions. Current supervision includes PhD research on New Zealand motel sector location selection and Masters work on the Recognised Seasonal Employer scheme. Publication trends reveal strong continuity in migration-agriculture nexus research since 2016, expanding into pandemic consumer behavior (2022) and digital agriculture (2024). His work consistently applies interdisciplinary lenses combining sociology, economics, and management science to address practical challenges in primary industries. As an educator, he examines courses in Advanced Labour Management (MGMT 642), Farm Management Analysis (MGMT 202), and International Development Projects (MGMT615). His supervision portfolio includes completed Masters research on tourism accommodation location decisions and ongoing graduate projects addressing critical labor issues in New Zealand's agricultural sector. Professional engagement includes membership in the New Zealand Primary Industry Management (NZIPIM).

• Particle Physics
• Neutrino Physics
• Experimental Physics
• +۳ مورد دیگر

Dr. Thiago Sogo Bezerra is a Senior Research Fellow in the School of Mathematical and Physical Sciences at the University of Sussex, specializing in experimental particle physics with a focus on neutrino research. His academic journey began with a PhD at Tohoku University in Japan (2013), followed by a JSPS Postdoctoral Fellowship (2013-2015), and a position as CNRS Researcher at Subatech Laboratory in France (2015-2019). He joined the University of Sussex in 2020 and was promoted to Senior Research Fellow in October 2022. Dr. Bezerra maintains active leadership roles across multiple major international collaborations: NOvA (2022-present): Developing data-driven models for cosmic ray backgrounds and introducing KDE-based methods to improve oscillation fits CLOUD (2023-present): Co-coordinating Simulation, Software, and Reconstruction for a surface neutrino detector with unprecedented signal-to-background ratio LiquidO (2015-present): Developing novel opaque scintillator technology for antineutrino detection Previous significant contributions to DUNE (2020-2022), SNO+ (2020-2022), and JUNO (2015-2020) His research bridges fundamental neutrino physics with innovative detector development, spanning from precise measurements of neutrino oscillation parameters to the development of novel detection technologies that could revolutionize neutrino observation. Dr. Bezerra's work spans theoretical analysis, experimental design, and practical implementation across multiple detector technologies. Dr. Bezerra has received significant recognition for his contributions to particle physics: Young Scientist Award from the Physical Society of Japan for his PhD work on the Double Chooz experiment JSPS Postdoctoral Fellowship (2013-2015) Alan Turing Institute Postdoctoral Enrichment Award (2022) for supernova trigger studies His research is supported by grants including 'Preparing liquid argon neutrino detectors to observe a supernova burst' from the Alan Turing Institute (2022). Dr. Bezerra has presented his work at numerous international conferences, including the European Physical Society Conference on High Energy Physics and the International Workshop on Weak Interactions and Neutrinos, establishing himself as a leading voice in neutrino physics. Within the Experimental Particle Physics research group at Sussex, Dr. Bezerra leads efforts to advance neutrino detection capabilities, particularly through the development of novel technologies that address longstanding challenges in the field, such as background reduction and signal identification in neutrino experiments.

Floris Ernstمشاهده پروفایل

استاد

• Signal processing and analysis for biomedical applications
• Sensors for robotics
• Motion tracking and recognition in medical technology
• +۴ مورد دیگر

Prof. Floris Ernst serves as Professor of Medical Robotics at the Institute for Robotics and Cognitive Systems, University of Lübeck, where he has been faculty since 2017 after joining as a research associate in 2013. He holds significant leadership roles including membership on the Steering Committee of the Graduate School 'Computing in Medicine and Life Sciences' and editorial positions with IEEE Robotics and Automation Letters and Frontiers in Robotics and AI. His research spans medical robotics , signal processing for biomedical applications , sensors for robotics , and augmented reality in surgery . Key projects include SonoBox (robotic ultrasound for pediatric fracture diagnosis), TWIN-WIN (digital supertwin technology), and robotics applications in rescue medicine. His work consistently bridges theoretical algorithm development with clinical implementation, focusing on real-world medical challenges. Prof. Ernst's recent publications (2023-2025) demonstrate strong activity across medical imaging, rescue robotics, and navigation systems. Trends show increasing focus on deep learning applications in medical imaging, real-time motion tracking for radiosurgery, and autonomous systems for emergency response. His work frequently appears in top robotics and medical imaging venues including IEEE conferences and journals. IEEE Senior Member Associate Editor, IEEE Robotics and Automation Letters (Medical Robotics) Associate Editor, Frontiers in Robotics and AI (Biomedical Robotics) As an active supervisor, Prof. Ernst guides students through courses like Medical Robotics (CS4270) and Bachelor/Master projects, with numerous publications co-authored with students. His lab maintains strong industry and clinical collaborations, particularly in medical device development and clinical robotics applications. The Robotics Laboratory (RobLab) serves as the primary research environment for his team's work on medical and rescue robotics systems.

• High Energy Physics Phenomenology
• Supersymmetry
• Electroweak Precision Observables
• +۲ مورد دیگر

Prof. Wolfgang Hollik serves as Director at the Max Planck Institute for Physics in Munich, a position he has held since 2002 after returning from a professorship at the University of Karlsruhe (1993-2002). Previously, he worked as a scientific employee at the same institute (1990-1993) and conducted research at CERN (1989-1990). He served as Managing Director of the institute from 2006 to 2012. His educational background includes physics studies and doctoral research at the University of Würzburg, where he was born in 1951, followed by habilitation at the University of Hamburg in 1989. Specializing in High Energy Physics Phenomenology , Hollik's research centers on Supersymmetry , Electroweak Precision Observables , and Radiative Corrections . He pioneered automated computational methods for loop corrections in high-energy processes, bridging theoretical predictions with experimental validation at facilities like CERN. His work focuses on beyond-Standard Model physics, particularly the MSSM Higgs sector and precision electroweak calculations. Analysis of his 2003-2006 publications reveals consistent emphasis on two-loop corrections for electroweak observables and supersymmetric extensions. Key themes include Higgs mass predictions, effective mixing angles, and MSSM parameter constraints, demonstrating his leadership in high-precision theoretical frameworks essential for LHC and future collider experiments. Hollik actively shapes particle physics education as Spokesperson of the International Max Planck Research School for Elementary Particle Physics since 2005. His institutional leadership includes service on the DESY Physics Research Committee (2002-present) and the BMBF High Energy Physics expert panel (1999-2005), fostering collaboration between theoretical research and experimental facilities worldwide.

• Quantum Physics
• Ultracold Atoms
• Quantum Simulation
• +۴ مورد دیگر

Thomas Chalopin is a CNRS Research Fellow at the Charles Fabry Laboratory (LCF), part of the Institut d'Optique Graduate School. He works in collaboration with the Gas Network team within the Quantum Gases research group. Prior to his current position, he completed a postdoctoral fellowship in Immanuel Bloch's group at the Max Planck Institute of Quantum Optics (MPQ) in Munich (2020-2023), focusing on microscopy of fermionic quantum gases. He earned his PhD (2016-2020) from Collège de France in Paris under the supervision of Sylvain Nascimbene and Jean Dalibard, where his research centered on quantum-enhanced sensing and synthetic Landau levels with ultracold dysprosium atoms. Dr. Chalopin's research focuses on quantum simulation using ultracold atomic systems, particularly fermionic quantum gases. His work bridges condensed matter physics and quantum information science, with emphasis on: Quantum gas microscopy techniques for high-resolution imaging of quantum systems Exploration of the Fermi-Hubbard model to understand high-temperature superconductivity Investigation of topological phases and magnetic properties in synthetic quantum systems Development of quantum-enhanced sensing using highly magnetic atoms like dysprosium Engineering of optical lattices and superlattices for quantum simulation His recent publications demonstrate a strong focus on understanding quantum magnetism, stripe formation, and pseudogap physics in fermionic systems. The research often involves sophisticated experimental techniques in quantum gas microscopy and shows a progression from fundamental quantum phenomena to potential applications in quantum information processing and precision measurement. Dr. Chalopin has published in top-tier journals including Nature, Physical Review Letters, and PRX Quantum. His work frequently involves international collaborations, particularly with the renowned quantum gas research group led by Immanuel Bloch at MPQ. The research has implications for understanding fundamental quantum many-body phenomena and could contribute to advances in quantum computing and quantum sensing technologies.

Chenxi Yuanمشاهده پروفایل

دانشیار

• Civil Infrastructure Systems
• Sensing and Informatics
• Visualization Techniques
• +۵ مورد دیگر

Dr. Chenxi Yuan is an Associate Professor in the Department of Construction Management at Southern Illinois University Edwardsville's School of Engineering. He directs the Transparent Civil Infrastructure System (T-CIS) Lab and maintains affiliations with McCarthy Construction Company through a faculty residency fellowship. Previously, he worked as an Assistant Engineer at ARUP. Education includes: PhD in Civil Engineering, Purdue University (2018) Master of Civil Engineering, Tongji University, China (2010) Bachelor of Mechanics Engineering, Central South University, China (2007) Dr. Yuan's research develops transparent civil infrastructure systems through sensing, informatics, and visualization. His work integrates Building Information Modeling (BIM) , mixed reality , and machine learning to enhance buildability, readability, and socio-responsibility of infrastructure. Research spans automated inspection systems, earthmoving operations optimization, and subsurface utility mapping. Publications demonstrate strong focus on construction informatics and infrastructure visualization , with recent work incorporating large language models for bridge inspection and ontology-based knowledge systems. Consistent themes include computer vision applications, risk-based inspection frameworks, and geospatial data integration. Awards and honors: K.B. Woods Award, TRB (2019) Best Paper Award (First Place), TRB Committee on Construction Management (2018) Robert L. Bowen Industry Residency Fellowship (2022) Dr. Yuan has supervised 6+ graduate students in thesis research on construction automation and infrastructure informatics. Funded projects include: NSF-funded ontology-based bridge inspection system ($10K) Real-time decision frameworks for manufacturing ($14K) Mixed reality alignment systems ($14K) The T-CIS Lab features drones, AR/VR systems (HoloLens, HTC Vive), and construction simulators to support research in infrastructure transparency and visualization technologies.

Ricardo Ferreiraمشاهده پروفایل

پژوهشگر

• Spintronics
• Magnetic Tunnel Junctions
• Nano-oscillators
• +۷ مورد دیگر

Ricardo Ferreira serves as Research Scientist Group Leader of the Spintronics research group at the International Iberian Nanotechnology Laboratory (INL). With a PhD in Physics Engineering from Instituto Superior Técnico (IST) completed in 2008, his career has focused on advancing spintronics technology through Magnetic Tunnel Junctions (MTJs). His research group develops high-yield fabrication processes for both micro-scale (down to 1μm²) and nano-scale (down to Dr. Ferreira's research interests span multiple cutting-edge areas in spintronics, with primary focus on nano-oscillators, neuromorphic computing architectures, and advanced magnetic field sensors. His work bridges fundamental physics with practical applications, particularly in developing devices that exploit spin transfer and spin Hall effects for next-generation computing paradigms. The group has made significant contributions to RF signal processing, true random number generation, and physical unclonable functions using spintronic devices. His recent publications reveal a strong trend toward neuromorphic computing applications, with multiple papers on spin-torque nano-oscillators for reservoir computing, weighted neural networks, and RF signal classification. The research demonstrates increasing sophistication in controlling vortex states and coupled oscillator dynamics for computational applications, while maintaining strong contributions to fundamental spintronics phenomena and sensor development. Co-author of 150+ peer-reviewed publications Co-inventor in 4 patent applications submitted at INL Participant in 6 European projects in the last decade Leader of multiple high-TRL industrial application projects Ferreira actively mentors PhD students and postdoctoral researchers, with several alumni having completed their doctoral work under his supervision. His group engages in both fundamental research and applied projects targeting Industry 5.0 ready production systems and space applications. The laboratory maintains advanced fabrication capabilities including UHV sputtering systems, ion milling equipment, and comprehensive characterization tools for spintronic device development.