جست‌وجوی استاد و پژوهشگر

Erkan Şenolمشاهده پروفایل

مدرس

• Structural Engineering
• Earthquake Engineering
• Precast Concrete Systems
• +۵ مورد دیگر

Dr. Lecturer Erkan Şenol is a faculty member in the Department of Civil Engineering, Faculty of Engineering, Yeditepe University, Istanbul, Turkey. He has been actively involved in structural and earthquake engineering research since 2010, serving first as a research assistant at Yıldız Technical University and Beykent University while completing his graduate studies. Education Ph.D. (ongoing since 2012), Structural Engineering, İstanbul Technical University Institute of Graduate Education M.Sc. (2010-2012), Structural Engineering, İstanbul Technical University Institute of Science (Thesis: "Investigation of the seismic performance of a three-dimensional irregular structural system") B.Sc. (2005-2010), Civil Engineering, Yıldız Technical University, Faculty of Civil Engineering Research Interests Dr. Şenol's research focuses on structural and earthquake engineering , with particular emphasis on seismic performance of reinforced concrete and precast structures , buckling restrained braced frames , innovative mechanical connectors , and railway infrastructure systems such as ballastless slab tracks. He employs both experimental and analytical approaches to develop resilient and sustainable construction technologies. Publication Trends Between 2016 and 2023 Dr. Şenol has co-authored multiple SCI/SCI-Expanded journal articles and conference papers covering experimental investigations on precast beam-column joints, mechanical connectors, composite sandwich panels, and seismic energy dissipation devices. His work consistently bridges laboratory experimentation with practical design guidance for earthquake-resistant structures and transportation infrastructure. Scientific Awards No specific scientific awards are mentioned in the provided text. Teaching & Administrative Duties Course instructor for undergraduate civil engineering classes at Yeditepe University Former representative of research assistants at Yıldız Technical University (2014) Laboratory & Teams Dr. Şenol actively collaborates with multidisciplinary research teams at Yeditepe University and other leading Turkish institutions, conducting large-scale structural testing in structural and earthquake engineering laboratories.

• Gynecologic Oncology
• Obstetrics
• Cervical Cancer Research
• +۶ مورد دیگر

Clare Reade is an Associate Professor in the Department of Obstetrics & Gynecology at McMaster University's Faculty of Health Sciences. Her primary academic appointment is within gynecologic oncology, where she conducts research and provides clinical care focused on women's cancers. Her research interests span multiple critical areas in women's health and cancer care: Gynecologic Oncology with focus on endometrial and cervical cancers Health services research examining equity in access to care Quality improvement initiatives in gynecologic cancer care Minimally invasive surgical techniques Prevention strategies for endometrial cancer End-of-life care quality for women with gynecologic malignancies Gender and racial diversity in academic obstetrics and gynecology Dr. Reade's recent publication record demonstrates a strong focus on health services research in gynecologic oncology, with particular attention to equity in surgical care, quality improvement initiatives, and innovative approaches to postoperative care including virtual care models. Her work often employs population-based data from Ontario, Canada, to examine trends and disparities in care delivery. She has received recognition for her scholarly contributions, as evidenced by citations in clinical guideline sources, policy documents, and multiple news outlets. Her work has been referenced in patents and highlighted by various platforms, indicating significant impact in her field. Dr. Reade actively collaborates with numerous researchers across McMaster University and beyond, with notable co-authorship patterns indicating strong interdisciplinary connections with experts in gynecologic oncology, health services research, and quality improvement.

• Antenna Design
• Millimeter-Wave Technology
• 5G Communication Systems
• +۳ مورد دیگر

Jian Yang is a Professor in the Antenna research group at Chalmers University of Technology. His work focuses on advanced antenna systems, particularly gap waveguide technology, millimeter-wave communication, and high-performance antenna arrays for 5G and automotive radar applications. Recent publications highlight innovations in circular polarization, beam steering, and decoupling techniques for D-band and E-band systems. Email: jian.yang@chalmers.se His research spans from Ka-band satellite communications to ultra-wideband (UWB) antenna design, with a strong emphasis on practical implementation and mechanical-electrical co-design. Scientific contributions include novel transitions, power dividers, and metasurface applications for sidelobe reduction.

Iikka Virkkunenمشاهده پروفایل

استاد مدعو

• Materials Degradation
• Non-Destructive Testing (NDT)
• Nuclear Materials
• +۵ مورد دیگر

Iikka Virkkunen is an Adjunct Professor in the Department of Energy and Mechanical Engineering at Aalto University. His research focuses on materials degradation and non-destructive testing (NDT) within nuclear and industrial contexts. Research Interests: Materials degradation in nuclear components, including fatigue, thermal fatigue, and residual stresses. Non-destructive testing reliability, probability of detection, and advanced data processing techniques. Integration of machine learning (AI/ML) into NDT methodologies, such as ultrasonic testing and radiography. Recent Trends: His work emphasizes AI-assisted NDT for aerospace and rail systems, alongside stress analysis in dissimilar metal welds for nuclear reactors. Research Groups: Iikka is affiliated with the Materials to Products research group at Aalto University, advancing the understanding of material behavior in critical infrastructure.

• Programmable Networks
• Network Routing
• Network Management
• +۱ مورد دیگر

Rob Harrison serves as an Academy Professor in the Department of Electrical Engineering and Computer Science at the United States Military Academy (West Point). A Colonel in the U.S. Army, he brings extensive military experience including three deployments in support of Operation Iraqi Freedom and training in Airborne School, Signal Officer Basic Course, and other advanced military courses. His academic credentials are as follows: Doctor of Philosophy (Ph.D.) in Computer Science, Princeton University Master of Science in Engineering (M.S.E.) in Computer Science, Princeton University Bachelor of Science (B.S.) in Computer Science, United States Military Academy (2003) Colonel Harrison's research centers on programmable network hardware and software, network routing and management, and cybersecurity. His work is highly relevant to military network operations and has led to innovations in software-defined networking, network telemetry, and cyber officer force development. He has published extensively on topics including network programming languages (e.g., Frenetic), switch programming, and heavy hitter detection. An analysis of his 15 most recent publications reveals a consistent focus on network monitoring and management systems. Starting from foundational network programming languages, his research evolved to address practical challenges in network telemetry, leading to systems like Sonata and DynamiQ. More recent work tackles scalability and robustness in hybrid telemetry systems and the educational aspects of cyber science. The provided text does not mention any scientific awards or honors. Information regarding students advised or research grants received was not provided in the source material. While specific laboratory affiliations are not stated, his research appears to be conducted within the context of the Department of Electrical Engineering and Computer Science at West Point, likely in collaboration with military cyber units.

Gregory Houzetمشاهده پروفایل

مدرس

• Microwave Engineering
• RF and Wireless Communications
• Antenna Design
• +۴ مورد دیگر

Gregory Houzet serves as a Lecturer at University Savoie Mont Blanc, holding dual roles at the CROMA Laboratory (UMR CNRS 5130) and the University Institute of Technology (IUT) of Chambéry. At the IUT, he heads the Multimedia and Internet Professions (MMI) department and serves as Educational Manager for the DAEU B digitally oriented program. His responsibilities span teaching signal processing fundamentals, electronics for connected objects, and digital literacy across multiple technical curricula. Houzet's research centers on high-frequency electromagnetic systems with emphasis on Microwave Engineering, RF Communications, and Antenna Design. His work explores Ferroelectric Materials for tunable devices, Metamaterials for wave manipulation, and High-Frequency Characterization techniques extending to 100 GHz. Key applications include biomedical sensors, 5G/6G communications, and corrosion-resistant measurement systems. He employs both theoretical modeling and experimental validation through the CROMA Laboratory's advanced facilities. Analysis of his 2022-2025 publications reveals three dominant trends: (1) biomedical sensing through hyperfrequency measurements of physiological fluids, (2) low-cost characterization of corrosive materials using modified SMA probes, and (3) reconfigurable antenna systems for 4G/5G via printed electronics and metamaterials. His work consistently bridges academic research with practical engineering solutions, often featuring cost-effective methodologies and interdisciplinary collaboration within the CROMA framework. Houzet actively contributes to laboratory innovation through the CROMA research unit (UMR CNRS 5130), where his team develops measurement protocols for extreme environments and novel RF components. His leadership in the MMI department drives curriculum development for digital professions while maintaining strong ties to industry applications in IoT and sustainable technology.

• Combinatorial rigidity
• Graphs and matroids
• Discrete and computational geometry
• +۷ مورد دیگر

Professor Anthony Nixon is a faculty member at the School of Mathematical Sciences, Lancaster University , where he serves as Professor in Mathematical Sciences since August 2024. He leads Lancaster's Combinatorics research theme and contributes to the Geometric Rigidity research theme . His research focuses on combinatorial rigidity theory , specifically analyzing systems of equations from geometric constraint systems to determine rigidity/flexibility of structures like bar-joint frameworks. This work intersects structural graph theory , matroid theory , projective geometry , and semi-definite programming . Notable applications include biophysical materials and robotic formation control . The 10 submitted papers cover topics like hypergraph rigidity, nearly planar graph rigidity, angular constraints, tropical rigidity approaches, and k-fold matroid circuits. His recent EPSRC grants include £428,712 for abstract rigidity research and £45,952 for graph rigidity in arbitrary dimensions. Scientific awards include: EPSRC grant (2023-2026): Abstract rigidity for natural stability problems (£428,712) EPSRC grant (2022-2023): The graph rigidity problem in arbitrary dimension (£45,952) Heilbronn Institute fellowship (2020-2021): £42,135 He supervises PhD students Rebecca Monks , Daniel Hodgson , Jack Trainer , and Andrew Sainsbury (part-time). Collaborators include Sean Dewar , Bill Jackson , and Brigitte Servatius . He has organized major events like the Mathematics, AI and Data Science for Materials Innovation workshop (Lancaster, 2025) and ICERM semester program on Geometry of materials (Brown, 2025).

Peter J. Olverمشاهده پروفایل

استاد

• Lie groups
• differential equations
• computer vision
• +۴ مورد دیگر

Peter J. Olver serves as a Professor in the School of Mathematics at the University of Minnesota . His office is located in Vincent Hall 302 at 206 Church Street SE, Minneapolis, MN 55455. With an active research program spanning multiple mathematical disciplines, Professor Olver maintains a significant presence in both theoretical and applied mathematics. His primary research interests encompass Lie groups, differential equations, computer vision, applied mathematics, differential geometry, mathematical physics, and anthropology. These diverse interests reflect his interdisciplinary approach to mathematical problems, connecting pure theory with practical applications across multiple fields. An analysis of his recent publications reveals a strong focus on foundational mathematical concepts with practical implementations. His work shows particular emphasis on symmetry methods, differential equations, and computational approaches to mathematical problems. The integration of anthropology with mathematical analysis through the AMAAZE project demonstrates his innovative cross-disciplinary research. Professor Olver has developed extensive educational materials including numerous lecture notes covering topics from calculus foundations to advanced differential equations. His teaching resources include Mathematica programs for courses like Math 5587 and 5588, featuring interactive visualizations of mathematical concepts such as wave equations and heat diffusion. His research program includes the AMAAZE project (Anthropological and Mathematical Analysis of Archaeological and Zooarchaeological Evidence), which bridges mathematical techniques with anthropological research. This initiative demonstrates his commitment to applying mathematical methods to real-world problems beyond traditional academic boundaries.

• Transport
• optics
• fluctuations
• +۹ مورد دیگر

EUGENE MISHCHENKO is a Professor in the Department of Physics & Astronomy at the University of Utah , where he has held academic positions since 2004 (Assistant Professor), 2007 (Associate Professor), and 2010 (Professor). His research spans condensed matter physics , focusing on graphene , topological insulators , low-dimensional systems , and plasmon-mediated phenomena . He has contributed to understanding spin-polarized transport , electron-phonon interactions , and disorder effects in quantum materials. Education : BS in Physics (Chernivtsi National University, 1993), PhD in Theoretical Physics (Russian Academy of Sciences, 1996), JD (University of Utah, 2018). Research Trends : His work combines analytical quantum mechanics , many-body interactions , and nanoscale electrostatics . Key contributions include plasmon instability theories , resonant impurity coupling , and exciton lifetime dynamics in carbon nanostructures. His 2017-2025 studies revealed noise-induced quantum corrections , non-equilibrium thermodynamics , and sublattice-dependent transport anomalies . Scientific Awards : Early Career Teaching Award (University of Utah, 2008). Teaching Activities : He teaches advanced courses including Quantum Theory I (2023-2024) and Quantum Field Theory II (2024). His scientific grants include a DOE-funded project on Spin-Polarized Transport (2006-2021). No formal lab or team is mentioned in the provided texts.

Saeed Hossein Niaمشاهده پروفایل

پژوهشگر

• Rail Vehicle Dynamics
• Freight Transport
• Wheel-Rail Interaction
• +۵ مورد دیگر

Saeed Hossein Nia is a researcher at the KTH Royal Institute of Technology , specializing in Engineering Mechanics with a focus on Rail-Vehicle Technology , Freight Transport , and Wheel Damage . He holds a PhD in Vehicle Engineering (Rail-Vehicle Dynamics) and an M.Sc. in Mechanical Engineering (Structural Analysis and Computational Engineering). His research centers on longitudinal train dynamics, wheel-rail interaction, and predictive maintenance strategies for railway systems. Academic Background PhD in Vehicle Engineering (Rail-Vehicle Dynamics), KTH M.Sc. in Mechanical Engineering (Structural Analysis), KTH Research Focus Wheel wear and Rolling Contact Fatigue (RCF) prediction Multibody simulation for railway systems Life Cycle Cost (LCC) analysis of rail maintenance Curve squeal noise modeling Publications 15+ peer-reviewed articles on rail degradation modeling (2013–2025) Key journals: Wear, Vehicle System Dynamics, Railway Engineering Links LinkedIn Profile ResearchGate

Ratul Mahajanمشاهده پروفایل

دانشیار

• Cloud Computing
• Computer Networking
• Formal Methods
• +۷ مورد دیگر

Ratul Mahajan is an Associate Professor at the University of Washington's Paul G. Allen School of Computer Science & Engineering. He serves as Co-director of the UW Center for the Future of Cloud Infrastructure (FOCI) and holds the position of Amazon Scholar at AWS. Previously, he was the Co-founder and CEO of Intentionet, a company pioneering intent-based networking and network verification, and a Principal Researcher at Microsoft Research. His research spans multiple areas within computer systems with a networking focus, including network verification, connected homes, network programming, optical networks, Internet routing and measurements, and mobile systems. His work has resulted in over fifty publications in top venues such as SIGCOMM, SOSP, MobiCom, CHI, and PLDI, with many technologies developed in his research being implemented in real-world systems at Microsoft and other companies. His recent publications demonstrate a strong trend toward practical network verification and application networking, with increasing focus on cloud infrastructure, microservices architectures, and formal methods for network configuration analysis. His work bridges theoretical formal methods with practical networking challenges, resulting in tools that have been adopted in industry settings. His scientific achievements have been recognized with numerous prestigious awards: ACM Distinguished Scientist ACM SIGCOMM Rising Star Microsoft Research Graduate Fellow ACM SIGCOMM Test-of-Time Award IEEE William R. Bennett Prize Two ACM SIGCOMM Best Paper Awards HVC Best Paper Award Best Dataset Award Professionally active in the networking community, Mahajan has served as PC chair for SIGCOMM 2020, NSDI 2014, IMC 2012, MobiArch 2011, and HotNets 2009, among others. He has been a PC member for numerous top conferences including SIGCOMM, NSDI, OSDI, and IMC across multiple years. He served on the IMC Steering committee from 2014-2018 and was Associate editor for IEEE/ACM ToN from 2012-2014. He leads research at the Computer Systems Lab and co-directs the UW Center for the Future of Cloud Infrastructure (FOCI), where his team develops practical solutions for network verification, cloud infrastructure, and next-generation networking technologies. His work at Intentionet and Microsoft Research demonstrates strong industry impact, with several technologies transitioning from research to real-world deployment.

Umair Javedمشاهده پروفایل

پژوهشگر

• Two-dimensional materials
• Nanomaterials
• Electrocatalysis
• +۳ مورد دیگر

Umair Javed is a researcher in the Faculty of Physics specializing in nanostructured materials. Holding an MSc degree, he actively investigates atomic-scale defect engineering in two-dimensional materials like hexagonal boron nitride (hBN) and molybdenum disulfide (MoS 2 ), with applications in energy conversion and storage. His work employs advanced electron microscopy within integrated vacuum systems for material growth and analysis. Education: MSc (field and institution unspecified) Research focuses on: Defect dynamics in 2D materials Electrocatalysis for hydrogen evolution Electron beam-induced pore formation Environmental effects on nanomaterial properties His work bridges fundamental material science with sustainable energy applications through precise atomic-scale manipulation. Recent publications (2024-2025) demonstrate concentrated research on pore morphology control in hBN and MoS 2 , revealing how defect engineering enhances electrocatalytic activity for hydrogen production. Key themes include electron irradiation effects, vacuum environment influences, and basal-plane activation mechanisms, highlighting interdisciplinary innovation at the materials-energy nexus. Javed collaborates within an international research team that developed integrated vacuum instrumentation for 2D material manipulation, indicating active participation in cutting-edge nanomaterial characterization and synthesis methodologies.

• Adaptive Optics
• Wavefront Sensing
• Astronomical Instrumentation
• +۲ مورد دیگر

Dr. Nazim Bharmal is a Research Fellow in the Department of Physics at Durham University, specializing in adaptive optics and wavefront sensing technologies for astronomical applications. His work bridges optical engineering, machine learning, and instrumentation development. Research Focus: Adaptive optics, laser guide stars, neural networks for wavefront sensing, and high-contrast imaging systems. Key Collaborations: SPIE Astronomical Telescopes + Instrumentation, Journal of Astronomical Telescopes, Instruments, and Systems. Recent publications highlight his contributions to plenoptic wavefront sensors, data-driven adaptive optics control, and novel techniques like PPPP (Projected Pupil Plane Pattern) for laser guide star systems. These studies emphasize improving resolution in astronomical imaging through advanced sensor design and noise mitigation. His work on wind-driven halo artifacts in high-contrast images and quasi-static aberration calibration demonstrates expertise in addressing atmospheric and instrumental challenges in ground-based telescopes. Collaborations with institutions like the William Herschel Telescope and industry partners (e.g., SPIE) underscore his role in advancing observational astronomy.

Aakil Caunhyeمشاهده پروفایل

مدرس ارشد

• Optimization
• Mathematical Programming
• Robust Optimization
• +۵ مورد دیگر

Aakil Caunhye serves as a Senior Lecturer in Business Analytics and Programme Director for the MSc Management program at the University of Edinburgh's Business School, Department of Management Science and Business Economics. Previously holding positions as Lecturer (2018-2023) and School Senior Tutor (2021-2024), he has established himself as a leading researcher in optimization methodologies with applications in humanitarian logistics and critical infrastructure resilience. His research interests span robust optimization, stochastic programming, cutting plane algorithms, and decision rules, with application areas including humanitarian logistics, engineering systems design, critical infrastructure resilience, power grid expansion planning, and route restoration. His recent work explores contextual optimization as a bridge between predictive and prescriptive analytics. His publication portfolio demonstrates a strong focus on humanitarian applications of optimization techniques, with recent articles examining equitable disaster response planning, pandemic control strategies, and emergency supply pre-positioning. These works consistently apply advanced mathematical programming techniques to real-world problems with significant societal impact. IISE Transactions Design & Manufacturing best application paper (2019) IISE Transactions journal article featured in ISE Magazine (2017) Outstanding reviewer award for OR Spectrum (2025) Standard Chartered Bank Book Prize (2009) Caunhye has secured significant research funding including a S$249,974.58 grant from Singapore's National Research Foundation for improving Mass Rapid Transit Network resilience, collaborating with institutions including MIT and UC Berkeley. He currently leads multiple research projects including Techo-Economic Modeling of Power Systems and Convex analysis for Effectiveness-Equity Measures. His teaching responsibilities include Principles of Data Analytics, Data Mining, and Prescriptive Analytics with Stochastic Programming.

Casey DeRooمشاهده پروفایل

دانشیار

• High energy astrophysics
• Astronomical instrumentation
• X-ray spectroscopy
• +۳ مورد دیگر

Casey DeRoo is an Associate Professor in the Department of Physics and Astronomy at the University of Iowa. His research focuses on UV/X-ray instrumentation, including diffraction gratings and high-performance mirrors for telescopes. He leads the DeRoo Research Group, which collaborates globally with NASA, Harvard-Smithsonian, and others. Notably, he received the 2021 Nancy Grace Roman Technology Fellowship for his work on freeform grating patterns on curved surfaces. Education: PhD in Physics from the University of Iowa. Research Interests: X-ray spectroscopy of supernova remnants Instrument design for rockets, CubeSats, and flagship missions Grating fabrication and testing Machine learning for source classification His work bridges cutting-edge instrumentation with astrophysical discovery, particularly in high-energy environments. Articles Trends: Recent publications emphasize X-ray optics development (e.g., OGRE, Arcus missions), grating fabrication via electron-beam lithography, and adaptive optics using piezoelectric actuators. Machine learning applications for outlier detection in astronomical catalogs are also a growing focus. Awards: NASA Nancy Grace Roman Technology Fellowship (2021) Advising & Grants: Mentors students like Jeff Leiberton (Large Magellanic Cloud studies) and Cecilia Fasano (grating fabrication). Secured grants including a NASA APRA award and FINESST funding. Collaborates with Washington University on adjustable X-ray optics. Labs & Missions: Leads the Arcus Optics and Astronomical Instrumentation (OAT) Lab. Key projects include the Arcus X-ray spectrometer probe mission and the OGRE suborbital rocket payload.