جستجوی استاد راهنمای دانشگاهی

• Nuclear Physics
• Nuclear Astrophysics
• Detector Development
• +۳ مورد دیگر

Dr. Andreas Wagner is a leading researcher at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), serving as Head of the Nuclear Physics Division and Head of the Radiation Source ELBE. His work focuses on applied nuclear physics, including nuclear astrophysics, detector development, and radiation technology. He leads the R3B collaboration at GSI/FAIR and chairs the Helmholtz portfolio initiative for Detector Technologies and Systems. His research spans nuclear data applications, materials science using positron annihilation spectroscopy, and medical physics applications in proton therapy verification. Dr. Wagner collaborates internationally, with projects at HZDR, GSI, and TU Dresden. He has contributed to advanced experimental facilities like the ELBE Linac and the Radiation Source ELBE. Teaching activities include courses on nuclear astrophysics, particle accelerators, and detector technologies at TU Dresden. His work bridges fundamental physics with applied technologies, emphasizing interdisciplinary research in energy, materials, and medical physics.

Lina Herhausمشاهده پروفایل

استاد

• Immune Signaling
• Autophagy
• Cell Signaling
• +۳ مورد دیگر

Dr. Lina Herhaus holds dual roles as a Research Group Leader at the Helmholtz Centre for Infection Research (HZI) and a W1 Professor at Hannover Medical School (MHH). Her research focuses on immune signaling, autophagy, and molecular mechanisms underlying immune pathways. She leads the "Immune Signaling" group at HZI, funded by the MICROSTAR Program, and has prior leadership at Goethe University Frankfurt (2020–2024) and the Frankfurt Cancer Institute (2019–2020). Education: PhD in Biochemistry and Cell Signaling (2014) – MRC, University of Dundee Double Degree in Molecular Biology and Applied Biology (First-Class Honors, 2010) – Hochschule Bonn-Rhein-Sieg and University of Dundee Early research at ECOSUR, Mexico (2006–2007) Research Interests: Immune signaling pathways Autophagy regulation and its role in disease Molecular mechanisms of bacterial pathogenesis Host-pathogen interactions in Salmonella and HCMV infections Therapeutic targeting of autophagy pathways Awards: Signal Transduction Society (STS) Science Award (2024) AIM Council of International Rising Stars (2024) Tim Hunt Prize for Cell Biology (2013) Grants & Leadership: Lead HZI’s Immune Signaling Group since 2024 Previously led Immune Signaling Group at Goethe University (2020–2024) Funded by MICROSTAR Program (HZI) and MHH Labs/Teams: Immune Signaling Group at HZI Campus, collaborating on autophagy, immune pathways, and infectious disease research.

Omar Sharafمشاهده پروفایل

استادیار

• Solar Energy
• Thermal Sciences
• Energy Engineering
• +۹ مورد دیگر

Dr. Omar Sharaf is an Assistant Professor of Mechanical Engineering at the School of Engineering and Physical Sciences, Heriot-Watt University Dubai Campus since January 2023. His expertise lies in solar polygeneration systems and multi-phase flow modeling. He teaches courses in renewable energy, thermodynamics, and fluid mechanics at both undergraduate and postgraduate levels. Education: BSc in Mechanical Engineering (2013) - American University of Sharjah MSc in Mechanical Engineering (2015) - American University of Sharjah PhD in Mechanical Engineering (2020) - Khalifa University Research interests focus on developing smart particle-laden fluids for sustainable solar and thermal solutions, integrating them into polygeneration energy systems. Key areas include thermal sciences, energy engineering, CFD, colloid science, and multiphase flow modeling. His work aims to leverage the abundant solar resources in the MENA region for economical and sustainable energy solutions. Publications span solar nanofluids, phase-change materials, and photovoltaic/thermal collectors. He actively supervises MSc and PhD students, collaborates on grant writing, and engages in research partnerships. Notable collaborations include work on encapsulated phase-change materials and nano-encapsulated dispersions for solar applications. His contributions align with UN SDGs related to affordable clean energy (SDG7) and climate action (SDG13).

John R. de Bruynمشاهده پروفایل

استاد

• Experimental Condensed Matter Physics
• Soft Materials
• Biological Systems Physics
• +۳ مورد دیگر

John R. de Bruyn is a Professor in the Department of Physics and Astronomy at the University of Western Ontario. His research focuses on experimental condensed matter physics, particularly soft materials, biological systems physics, and non-equilibrium dynamics. He leads the de Bruyn research group, which collaborates internationally and uses advanced rheological techniques. Current projects include studies on thixotropic suspensions, star polymers, and MR-compatible medical device materials. Key equipment includes an MCR 302 rheometer. He has supervised numerous graduate and undergraduate students, including Cameron Hopkins (Don Hay Prize winner), Grace Ge (M.Sc. in polyisoprene composites), and Nirosh Getangama. Recent grants include a $705k CFI grant for medical device testing and a Western Academic Development Fund grant for rheometry equipment. Notable collaborations include work with Simon Rogers at UIUC and Dimitris Vlassopoulos in Crete (FORTH). His group also explores interdisciplinary topics like phagocytosis mechanisms and solar eclipse physics. He has presented at conferences such as the Waterloo Soft Matter Conference and the Canadian Association of Physicists annual meeting.

Jasper van der Guchtمشاهده پروفایل

استاد

• Physical Chemistry
• Soft Matter Physics
• Biopolymer Mechanics
• +۳ مورد دیگر

Prof. Jasper van der Gucht is a Professor of Physical Chemistry and Soft Matter at Wageningen University & Research. He leads an interdisciplinary group focused on understanding the microscopic mechanisms governing the mechanical properties and functionality of soft materials, particularly biopolymers and colloidal systems. His research combines experimental characterization, theoretical modeling, and computer simulations to address topics like polymer materials based on electrostatic interactions, structure formation in drying films, and fracture mechanics of biopolymer networks. Education & Teaching: He teaches courses in Advanced Soft Matter, Colloid Science, General Chemistry, and Winter School Physical Chemistry. He supervises MSc and BSc theses in Physical Chemistry, Biotechnology, and Molecular Life Sciences. Research Interests: His work spans biopolymer mechanics, colloidal science, rheology, and material design. Key themes include the mechanics of soft granular materials, phase segregation in pastes, and sustainable materials for food applications. He employs advanced techniques like laser speckle imaging and microfluidics. Ancillary Activities: He serves as a representative of WUR in the Dutch Physics Council (2023–2026), coordinates postgraduate courses, and is Chief Editor of the Soft Matter section in Frontiers in Physics (2017–present). Labs & Teams: His lab integrates experimental and computational approaches to study soft matter phenomena, collaborating on projects like developing sustainable plastics and understanding plant-pathogen interactions through hyphal mechanics.

Michele Di Pierroمشاهده پروفایل

استادیار

• Physical Genetics
• Genome Architecture
• Chromatin Dynamics
• +۳ مورد دیگر

Michele Di Pierro is an Assistant Professor in the Department of Physics at Northeastern University’s College of Science. He leads the Di Pierro Lab, which investigates physical genetics by exploring how genetic information is physically translated and organized through statistical physics, information theory, and computational modeling. His research focuses on genome architecture, chromatin dynamics, and nuclear organization, with notable work on ancient genome preservation in a 52,000-year-old woolly mammoth sample. Key research themes include energy landscapes of chromosome structures, phase-separated chromatin compartments, and mesoscale modeling of nuclear organization. His lab develops computational tools like the Nucleome Data Bank to simulate genome structures. Di Pierro collaborates across disciplines to bridge physics and molecular biology, advancing both theoretical understanding and biotechnological applications. He is affiliated with Northeastern’s Department of Physics and contributes to interdisciplinary research within the College of Science. His work addresses fundamental questions about how physical principles govern genetic processes at molecular scales.

Timothy Lanninمشاهده پروفایل

استاد آموزشی

• Biomedical Engineering
• Cancer Research
• Bioimaging
• +۳ مورد دیگر

Timothy Lannin is an Associate Teaching Professor and Associate Chair for Undergraduate Studies in Bioengineering at Northeastern University. He joined in 2017 after teaching at Lafayette College and completing his PhD in Mechanical Engineering at Cornell University under Dr. Brian Kirby, supported by an NSF Graduate Research Fellowship. His research focuses on biomedical applications, including cancer cell analysis, electrical properties of cells, and biofuel optimization. He is a recipient of the MathWorks Fellow award. Education : PhD in Mechanical Engineering, Cornell University, 2016 Research Interests : Dr. Lannin’s work spans biomedical devices, bioimaging, and cancer diagnostics. He develops tools for automated cancer cell identification, electrorotation-based cell analysis, and microfluidic systems for rare cell capture. His studies include characterizing cancer cells’ electrical properties to improve separation techniques and exploring algae cells for biofuel optimization. Publications : His recent works address CTC profiling, taxane resistance in prostate cancer, and biomedical device design. Themes include clinical trial methodologies, machine learning applications in diagnostics, and surgical tool efficiency. Awards : MathWorks Fellow NSF Graduate Research Fellowship Grants & Advising : He mentors undergraduate research through Northeastern’s PEAK Experiences and URF Scholars programs, contributing to student projects in bioengineering. Labs/Teams : His research aligns with Northeastern’s Bioengineering Department focus on biomedical devices and bioimaging, collaborating on clinical and engineering challenges.

• Sound Synthesis
• Physical Modeling
• Virtual Reality Audio
• +۶ مورد دیگر

Cumhur Erkut is an Associate Professor in the Sound and Music Computing group within the Department of Architecture, Design and Media Technology at Aalborg University, Copenhagen, Denmark. With a publication record spanning over two decades from 2000 to present, his research bridges computer science, audio engineering, and creative arts. His primary research interests include Sound Synthesis, Physical Modeling of musical instruments, Virtual Reality Audio, Sonic Interaction Design, and Embodied Interaction. His work demonstrates a consistent focus on the intersection of technology and human experience, particularly in how sound and movement interact in digital environments. His recent publications show a strong shift toward AI-driven audio processing, voice conversion, and differentiable digital signal processing techniques. Dr. Erkut's publication trends reveal an evolution from traditional physical modeling of musical instruments (particularly string instruments like tanbur, clavichord, and guitar) toward more contemporary applications in virtual reality, embodied interaction, and AI-powered audio processing. His work consistently emphasizes real-time performance considerations and human-centered design principles. He has served in significant academic roles, including organizing the 17th International Conference on New Interfaces for Musical Expression (NIME 2017) at Aalborg University, demonstrating his leadership within the international research community. His collaborative network is extensive, with frequent co-authorship with Stefania Serafin, Vesa Välimäki, Antti Jylhä, Rolf Nordahl, and other prominent researchers in the sound and music computing field. These collaborations span multiple institutions across Europe, reflecting the international nature of his research.

Agoston Pisztoraمشاهده پروفایل

دانشیار

• Probability Theory
• Statistical Mechanics
• Phase Transitions
• +۳ مورد دیگر

Agoston Pisztora is an Associate Professor in the Department of Mathematical Sciences at Carnegie Mellon University, part of the Mellon College of Science. His research focuses on probabilistic analysis of random fields, disordered systems, and phase transitions, aiming to explain macroscopic phenomena through microscopic system analysis. He holds a Ph.D. from ETH Zürich and completed postdoctoral work at the Courant Institute, NYU. His research explores how random systems exhibit deterministic or stochastic behavior at macroscopic scales. Key areas include phase separation mechanisms in Ising models, percolation theory, and large deviation principles in disordered environments. His work bridges probability theory with statistical physics, addressing fundamental questions about self-averaging and critical phenomena. Notable publications include studies on Wulff crystals in Ising systems and surface-order large deviations. Though no awards or grants are explicitly listed, his contributions to phase transition theory and percolation are well-documented. No advising or lab affiliations are specified in the provided information.

Alice Y. Cheungمشاهده پروفایل

استاد

• Plant Reproduction Biology
• Signal Transduction
• Pollen-Pistil Interactions
• +۲ مورد دیگر

Alice Y. Cheung is a Distinguished Professor of Biochemistry and Molecular Biology at UMass Amherst, specializing in plant reproductive biology and signaling mechanisms. She earned her Ph.D. from Yale University and completed postdoctoral training at Harvard. Her research deciphers signaling strategies governing plant growth and reproduction, focusing on RAC/ROP GTPase-mediated pathways and FERONIA receptor kinase networks. Key investigations include pollen-pistil interactions during fertilization, regulation of polarized pollen tube growth, and extracellular signaling mechanisms involving pectin-RALF phase separation. Recent work has revealed how FERONIA-BUPS receptor complexes regulate pollen tube integrity and sperm release, with implications for preventing polyspermy. Her lab also studies FERONIA-LLG1 co-receptor complexes that coordinate multiple growth-regulatory pathways. Honors: ASPB Legacy Founding Member She collaborates internationally on plant receptor kinase functions and leads investigations into signal transduction using biochemical, molecular, and biophysical approaches.

• Nuclear Compartmentalization
• Liquid-Liquid Phase Separation
• Protein Quality Control
• +۳ مورد دیگر

Christian Schlieker is a Professor of Molecular Biophysics and Biochemistry at Yale University, with a secondary appointment in Cell Biology. He leads the Schlieker Lab, focusing on nuclear compartmentalization, liquid-liquid phase separation, and protein quality control mechanisms linked to movement disorders. His work bridges biochemistry, biophysics, and cell biology to understand cellular etiologies of diseases like dystonia. Schlieker earned his PhD at the University of Heidelberg and completed postdoctoral research at Harvard Medical School. Education : PhD, University of Heidelberg (2004) Postdoctoral training at Harvard Medical School/Whitehead Institute Research Interests : Schlieker's lab investigates nuclear envelope integrity, phase-separated condensates, and proteostasis networks. Key projects include studying Torsin ATPases in nuclear pore biogenesis, nuclear transport quality control, and ER-nuclear envelope interactions. His work has revealed how defects in these processes contribute to neurological disorders. Publications : Recent studies highlight his lab's focus on nuclear transport dynamics, ubiquitin-mediated degradation, and condensate pathology. Articles emphasize cross-compartment quality control and disease mechanisms tied to nuclear envelope dysfunction. Awards : NIH Director's New Innovator Award (2011), recognition for pioneering research in cellular proteostasis and nuclear biology. Roles : Co-director of the BQBS graduate program, member of the Yale Cancer Center, and advisor for the Yale Center for Molecular Discovery. Active in scientific leadership roles, including NIH review panels and Dystonia Medical Research Foundation advisory boards. Lab : The Schlieker Lab employs biochemical, biophysical, and genetic tools to study nuclear membrane dynamics, phase separation, and disease models. Collaborations include teams at Yale and international institutions.

• Pharmaceutics
• Drug Delivery Systems
• Biorelevant Dissolution Testing
• +۵ مورد دیگر

Dr. Patrick O'Dwyer is a Lecturer in Pharmaceutics at the School of Pharmacy, University College Cork (UCC). He holds a PhD in Pharmaceutics from the National and Kapodistrian University of Athens (2020), an MPharm from the Royal College of Surgeons in Ireland (2016), and a BPharm from UCC (2015). His research focuses on advancing drug delivery systems through computational modeling, machine learning, and in vitro methods to optimize lipid-based formulations, co-milling, and amorphous solid dispersions. He leads the EU-funded InPharma and GENEGUT projects and has secured €950,000 from the Bill & Melinda Gates Foundation to develop AI tools for drug formulations targeting diseases in developing countries. Dr. O'Dwyer supervises multiple PhD students and is a Course Director for the MSc in Pharmaceutical Regulatory Sciences. His honors include the UCC School of Pharmacy Gold Medal and scholarships from the National University of Ireland and Quercus. His work emphasizes regulatory science and bridging academic research with industry applications. Education: PhD in Pharmaceutics, National and Kapodistrian University of Athens (2020) MPharm, Royal College of Surgeons in Ireland (2016) BPharm, University College Cork (2015) Postgraduate Certificate in Teaching and Learning in Higher Education, UCC (2021) Research Interests: Computational Pharmaceutics, Biorelevant Dissolution Testing, Machine Learning in Drug Formulation, Regulatory Science, and Novel Drug Delivery Systems. Grants: €950k from Bill & Melinda Gates Foundation (2024) EU-funded InPharma and GENEGUT projects Awards: School of Pharmacy Gold Medal (2015), Dr. H.H. Stewart Scholarship (2015), Abbvie Prize (2015), Quercus Scholarships (2013, 2011). Professional Roles: Member of Pharmaceutical Society of Ireland, PIER, and Course Director for MSc in Pharmaceutical Regulatory Sciences. His research integrates computational tools with experimental methods to address challenges in drug formulation, particularly for tropical diseases. Recent work emphasizes real-time analysis of lipid-based formulations and predictive modeling of co-milling effects. Collaborations include the European Medicines Agency and industry partners like Pion Inc. (UK) Ltd.

Andrei Bulatovمشاهده پروفایل

استاد

• Constraint problems
• Computational complexity
• Combinatorics
• +۳ مورد دیگر

Andrei Bulatov is a Professor of Computing Science at Simon Fraser University (SFU), affiliated with the School of Computing Science within the Faculty of Applied Sciences. His research focuses on computational complexity, constraint satisfaction problems (CSP), combinatorics, and universal algebra. Bulatov earned his Ph.D. and M.Sc. in Mathematics from Ural State University, Russia, in 1995 and 1991, respectively. His work bridges theoretical computer science and algebra, with notable contributions to the complexity classification of CSPs. He has received a Best Paper Award at FOCS 2002 for his dichotomy theorem on three-element set constraints. Bulatov’s research also explores counting CSPs, algorithms for satisfiability, and applications of algebraic methods in discrete mathematics. He is part of the Algorithms & Theory Group and the Computational Logic Laboratory at SFU. Bulatov’s publications span journals like Journal of Computer and System Sciences, Theoretical Computer Science, and SIAM Journal on Computing, addressing topics from graph theory to randomized algorithms. His academic service includes roles in professional organizations and editorial work. Bulatov’s teaching includes courses such as Discrete Mathematics (MACM 101) and Directed Reading (CMPT 894).

Brian B Lairdمشاهده پروفایل

استاد

• Computational Materials Science
• Applied Statistical Mechanics
• Theoretical and computational chemistry
• +۷ مورد دیگر

Brian B. Laird is a Professor in the Department of Chemistry at the University of Kansas, with courtesy appointments in Chemical & Petroleum Engineering and Physics & Astronomy. His research focuses on computational materials science and applied statistical mechanics, particularly in understanding the macroscopic properties of materials through microscopic molecular interactions. Dr. Laird's research spans three main areas: the structure and thermodynamics of condensed phase interfaces, phase-equilibrium and transport properties of novel solvent media for environmentally beneficial catalysis, and the development of new algorithms for molecular modeling. His work combines molecular dynamics simulations with statistical mechanics to study complex systems like multicomponent alloys, molecular systems, and gas-expanded liquids. The Laird Research Group has made significant contributions to understanding crystal-melt interfaces, solid-liquid interfacial premelting, and the properties of gas-expanded solvent systems. His recent publications (2022-2025) reveal a continued focus on interfacial phenomena, particularly crystal-melt interfaces and liquid surfaces, with increasing attention to amorphous silica systems and zeolites. The research shows a strong interdisciplinary approach, combining computational chemistry with materials science and engineering applications. Many recent papers involve collaborations with international research groups, particularly in China and the UK. KU Chemistry Faculty Research Impact Award (September 2022) Marnie and Bill Argersinger Dissertation Award (2022) Jankunas Doctoral Dissertation Award in Chemical Physics (2022) External Senior Fellow of the Freiburg Institute for Advanced Studies Dr. Laird has advised numerous graduate students including Seth Martin, Zeke Piskulich, Joyce Nguyen, and Micah Welsch, many of whom have received prestigious awards for their dissertation work. His research has been supported by collaborations with the Center for Environmentally Beneficial Catalysis and the NSF-funded Networks for Materials Synthesis and Design program. The Laird Research Group maintains active collaborations with multiple research groups at KU and internationally, particularly with the Yang group at East China Normal University.

• Biophysics
• Chemistry
• Intrinsically Disordered Proteins
• +۳ مورد دیگر

Wenwei Zheng is an Associate Professor at Arizona State University (ASU), affiliated with the School of Applied Sciences and Arts within the CISA initiative. He holds a PhD in Chemistry from Rice University (2017), followed by postdoctoral research at the NIH. His research focuses on computational methods to study intrinsically disordered proteins (IDPs) and their roles in membraneless organelles and pathological fibril formation. Key areas include liquid-liquid phase separation and protein interaction networks. Dr. Zheng leads the Zheng Biophysics Lab, leveraging grants from NIH-NIGMS, NSF, and NVIDIA GPU resources. He teaches courses in chemistry and scientific computing at ASU. Research interests emphasize biophysical modeling of IDPs, with recent work exploring salt effects on conformation, phosphorylation impacts on phase separation, and drug discovery targeting disordered regions. Over 50 publications span journals like PNAS , ACS Central Science , and Journal of Physical Chemistry . Collaborations include projects on FUS protein toxicity and estrogen receptor disorder. His lab's 2024 advancements include studies on α-synuclein aggregation and transient protein interactions. Grants include a 5-year NIH R35 MIRA award (2022) and NSF support for biodegradation studies. Notable achievements include Anton2 supercomputing allocations and NVIDIA GPU donations. The lab actively recruits students interested in computational biophysics and protein dynamics.