جستجوی استاد راهنمای دانشگاهی

Luca Roberto Augusto Moriconiمشاهده پروفایل

دانشیار

• Field Theory
• Statistical Mechanics
• Condensed Matter
• +۴ مورد دیگر

Luca Roberto Augusto Moriconi is an Associate Professor at the Institute of Physics , Universidade Federal do Rio de Janeiro (UFRJ), with a PhD in Physics from PUC-RJ. His research focuses on Field Theory, Statistical Mechanics , and their applications to Condensed Matter and Turbulence . Education: PhD in Physics, Pontifícia Universidade Católica do Rio de Janeiro (PUC-RJ) Research Interests span the statistical physics of turbulence, vortex dynamics, multifractality, and magnetohydrodynamics. His recent work explores coherent structures in pipe flows, circulation statistics, and numerical methods like lattice Boltzmann simulations. Publications highlight interdisciplinary applications of turbulence in fluid dynamics, magnetohydrodynamics, and condensed matter systems, with a focus on extreme events, stochastic models, and geometric approaches to turbulent flows. Scientific Awards: CNPq Research Productivity Scholarship – Level 2 Teaching and Outreach include graduate courses on statistical field theory, thermodynamics, and turbulence. He co-leads the UFRJ Turbulence Research Group , fostering collaboration across physics, engineering, and mathematics. Outside academia, he plays the transverse flute .

Oliver Schmidtمشاهده پروفایل

دانشیار

• Hydrodynamic stability
• Computational fluid mechanics
• Turbulent flows
• +۳ مورد دیگر

Oliver Schmidt is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University of California, San Diego. His research combines data-driven and theoretical methods to study hydrodynamic stability, computational fluid mechanics, and aeroacoustics, with a focus on turbulent jet mixing noise mitigation for silent aircraft development. Department: Mechanical and Aerospace Engineering Research focus: Turbulent flows, modal decomposition, model order reduction Educational Background: Ph.D. in Aeronautical Engineering, University of Stuttgart (2014) Graduate studies at Berlin University of Technology and University of Washington (2009) Research Interests center on computational flow physics, intermittency and rare events in turbulence, and synergistic empirical-theoretical approaches for low-order model design. His work has applications in aerospace optimization and noise control. Scientific Awards: Boeing/Lufthansa Reinhardt Abraham Scholarship Association of German Engineers’ excellent performance award Professional Affiliations include UC San Diego, Caltech Computational Flow Physics Group, Stanford’s Center of Turbulence Research, Von Karman Institute for Fluid Dynamics, and German Aerospace Center.

Gregor Decristoforoمشاهده پروفایل

پژوهشگر ارشد

• Plasma Physics
• Fusion Energy
• Computational Physics
• +۳ مورد دیگر

Gregor Decristoforo is a plasma physics researcher at UiT The Arctic University of Norway specializing in computational modeling of magnetically confined fusion plasmas. His work focuses on turbulence and transport phenomena in scrape-off layers, particularly studying blob dynamics and intermittent fluctuations critical for fusion energy development. His research interests span plasma turbulence modeling , computational physics , and fusion boundary layer phenomena . Using advanced numerical simulations and stochastic modeling techniques, he investigates coherent structures in magnetized plasmas, developing blob tracking algorithms and GPU-accelerated computation methods to analyze cross-field particle transport mechanisms. His publication record shows consistent research output from Master's research (2016) through doctoral work (2021) to recent first-author journal articles (2024), demonstrating ongoing contributions to understanding plasma exhaust processes in magnetic confinement devices. Current work examines RF-induced flow effects during ion cyclotron resonance heating, addressing key challenges in mitigating scrape-off layer transport for viable fusion energy production.

Leonardo Badiaمشاهده پروفایل

دانشیار

• Mathematical Optimization
• Telecommunications
• Game Theory
• +۴ مورد دیگر

Leonardo Badia is an Associate Professor at the University of Padova . He holds a PhD in Information Engineering from the University of Ferrara and has held academic positions at IMT Lucca Institute and the University of Padova since 2016. Research Interests : His work focuses on mathematical optimization for communication networks, including Markov models for protocol analysis, cross-layer optimization of routing/scheduling/resource allocation, Age-of-Information (AoI) , energy harvesting , and game theory applications. He has published over 200 papers in top-tier journals and conferences. Recent Articles highlight his contributions to AoI optimization, adversarial modeling in CPS, strategic cooperation in IoT/metaverse, and energy-efficient network protocols. His work spans telecommunications , game theory , and networking , with subfields like hybrid ARQ , multi-radio resource management , and QoS-aware scheduling . Awards : Best Paper Awards at IEEE MobiWac 2005, IEEE CAMAD 2006, and IEEE Globecom 2007.

Ardavan Akhavanمشاهده پروفایل

استادیار

• Pediatric Urology
• Robotic Surgery
• Minimally Invasive Surgery
• +۳ مورد دیگر

Ardavan Akhavan, M.D. serves as Assistant Professor of Urology at Weill Cornell Medical College and Assistant Attending Urologist at NewYork-Presbyterian Hospital. He directs the pediatric robotic and minimally invasive surgery program at the Institute for Pediatric Urology, specializing in complex reconstructive procedures for infants and children with congenital urological disorders. His educational background includes a B.A. from Columbia College (2002) and an M.D. from the University of Pittsburgh School of Medicine (2007), followed by general surgery and urology residencies at Mount Sinai Medical Center and a pediatric urology fellowship at Seattle Children's Hospital. Dr. Akhavan's research focuses on advancing robotic surgical techniques for pediatric hydronephrosis, vesicoureteral reflux, and neurogenic bladder conditions. His work integrates fetal urology interventions with innovative stone management protocols, emphasizing minimally invasive approaches that reduce hospitalization and accelerate recovery. Recent publications demonstrate leadership in establishing evidence-based standards for robotic surgery in infants and complex reconstructive cases. His scientific contributions have earned recognition including Baltimore Magazine's Top Doctor award. Clinical expertise spans robotic mitrofanoff appendicovesicostomy, fetal lower urinary tract obstruction management, and pediatric kidney stone treatment. Top Doctor by Baltimore Magazine As former Director of Pediatric Minimally Invasive and Robotic Surgery at Johns Hopkins, he developed national training protocols while leading the Fetal Surgery and Kidney Stone Programs. Current clinical work at Weill Cornell emphasizes accessibility through video visits and multilingual patient education resources. His surgical outcomes research informs national guidelines for pediatric robotic procedures and ERAS implementation. Dr. Akhavan directs the Upper East Side campus pediatric urology team, maintaining active collaborations with fetal medicine specialists and nephrologists to provide comprehensive care for complex congenital conditions.

Indraneel Chakrabortyمشاهده پروفایل

استاد

• Banking
• Financial Intermediation
• Corporate Finance
• +۵ مورد دیگر

Indraneel Chakraborty is a Professor and Department Chair of Finance at the University of Miami's Miami Herbert Business School. He also serves as Associate Dean for Graduate Business Programs and holds a cross-appointment in the College of Arts and Sciences. His research focuses on banking, financial intermediation, corporate finance, and applied economics. Ph.D. in Finance, The Wharton School, University of Pennsylvania (2010) M.S. in Electrical Engineering and Computer Science, MIT (2003) B.Tech. in Computer Science Engineering, IIT Guwahati (2001) - President of India Gold Medalist His work examines financial market regulation, monetary policy transmission, tax policy implications, and energy economics. Key publications explore topics like credit default swaps, financial statement complexity, housing market effects, venture capital signaling, and cross-country labor supply dynamics. Recent articles analyze fund liquidity requirements, skilled labor in bank lending, renewable energy contracts, and financial integration through production networks. These works span finance, economics, and energy policy with specific subfields in systemic risk, credit allocation, and market design. Notable awards include the University of Miami Provost's Research Award (2024), multiple Excellence in Teaching Awards (2018-2024), Douglas D. Evanoff Best Paper Award (2016), and Marshall Blume Award (2013). He received the President of India Gold Medal (2001) and National Talent Scholar (1995). He has industry experience in financial instruments at Citigroup (2005) and Citadel Investment Group (2003-2005). His technical background includes patents in wireless power management and network protocols from earlier career stages.

Yun Rose Liمشاهده پروفایل

استادیار بالینی

• Radiation Oncology
• Cancer Genomics
• Oxidative Stress in Cancer
• +۵ مورد دیگر

Dr. Yun Rose Li, M.D., Ph.D. serves as Clinical Assistant Professor at the Translational Genomics Research Institute (TGen), part of City of Hope National Medical Center, and Assistant Professor in Radiation Oncology & Cancer Genetics and Epigenetics. She specializes in treating genitourinary malignancies including prostate, bladder, and kidney cancers while leading innovative research at the intersection of radiation oncology, cancer genomics, and metabolic interventions. Her research program focuses on three interconnected areas: (1) investigating inflammation, oxidative stress, and mutational signatures as biomarkers of cancer risk; (2) exploring epigenomic signatures of cancer origins and the impact of tissue development; and (3) developing metabolic strategies to mitigate radiation treatment toxicity. Dr. Li's work centers on the 'yin and yang' nature of oxidative stress in cancer - both as a driver of cancer development and as a mechanism for cancer treatment. Analysis of her publications reveals a strong translational focus, with increasing emphasis on clinical applications of basic science discoveries. Her recent work increasingly addresses practical interventions to improve patient quality of life during and after cancer treatment, particularly through metabolic approaches like intermittent fasting during radiation therapy. NIH Director's Award for Early Independence (funding her clinical trial on metabolic interventions during radiation therapy) As both clinician and researcher, Dr. Li emphasizes the critical balance between treatment efficacy and quality of life considerations. She leads an integrated 'humid lab' that combines wet and dry laboratory approaches to investigate fundamental cancer mechanisms while developing practical clinical applications. Her current Phase II randomized trial evaluating intermittent fasting during pelvic radiation therapy represents the direct translation of her basic science insights into patient care.

Xiaoping JIAمشاهده پروفایل

استاد

• Multi-scale acoustics of granular media
• Coherent elastic waves
• Contact mechanics
• +۷ مورد دیگر

Xiaoping JIA is a Professor at Gustave Eiffel University , affiliated with the Langevin Institute . His work bridges acoustics , granular physics , and geophysics , with a focus on understanding wave propagation, frictional dynamics, and seismic triggering mechanisms in complex media. PhD in Physical Acoustics from Pierre and Marie Curie University (Paris 6) B.Sc. in Physics from Nanjing University His research explores: Multi-scale granular acoustics : Investigating how ultrasound interacts with granular materials to induce flow and measure internal states Nonlinear wave behavior : Time-reversal focusing, velocity weakening/strengthening, and scattering in heterogeneous media Dynamic triggering mechanisms : Linking seismic waves to landslides, slope instabilities, and frictional failure Key article trends include: Developing ultrasonic monitoring for granular compaction and damage Modeling acoustic lubrication at grain contacts Characterizing stick-slip dynamics with high-resolution acoustic emission analysis Simulating two-time scale granular flow under vibro-acoustic stress Publications span geophysical journals (PNAS, JGR, GRL) and physics/soft matter outlets (Phys. Rev. E, Soft Matter, Europhys. Lett.), emphasizing ultrasound as a tool for probing granular rheology and failure precursors.

Philip Noahمشاهده پروفایل

استاد

• Psychiatry
• Neuromodulation
• Posttraumatic Stress Disorder (PTSD)
• +۹ مورد دیگر

Philip Noah is a Professor of Psychiatry and Human Behavior at Brown University’s Alpert Medical School. He serves as the founding Section Chief of Psychiatric Neuromodulation at VA Providence and as Lead for Mental Health Research & Associate Director for Training and Research Partnerships at the VA Center for Neurorestoration and Neurotechnology. Education : BSc from McGill University, MD from Albany Medical College (AOA, Biomedical Ethics Distinction) His research focuses on precision neuromodulation technologies for treating posttraumatic stress disorder (PTSD), major depression, and suicidality. Key projects include NIMH-funded human trials of MRI-guided low-intensity focused ultrasound and studies on transcranial magnetic stimulation (TMS) for PTSD. His work bridges clinical trials , neuroimaging , and biomechanical modeling to optimize stimulation targeting. Recent publications highlight his integration of machine learning , functional connectivity analysis , and biostatistical modeling to predict TMS outcomes. Collaborations span institutions like Butler Hospital, VA Providence, and industry partners in neuroengineering. Scientific Awards : Distinguished Investigator Award (2024), Purple Merit Star (2023), Society of Biological Psychiatry honors, and multiple research fellowships. He mentors psychiatry residents and leads the NIMH R25 psychiatry resident research training program, emphasizing interdisciplinary training and translational research .

Olivier Lichtargeمشاهده پروفایل

استاد

• Computational Biology
• Structural Biology
• Clinical Genomics
• +۸ مورد دیگر

Olivier Lichtarge, M.D., Ph.D. is the Cullen Chair and Professor at Baylor College of Medicine , with appointments in Molecular and Human Genetics, Biochemistry & Molecular Biology, and Pharmacology. He directs the Computational and Integrative Biomedical Research Center and co-directs the Structural & Computational Biology program. Education: BS (McGill), PhD & MD (Stanford), Residency & Fellowships (UCSF) Research: Integrates evolutionary principles with machine learning for multi-scale data analysis in Protein functional site prediction Mutation impact quantification Network diffusion for disease mechanism discovery Cognitive computing applications Key Contributions: Developed Evolutionary Trace and Action Equation methods, network compression schemes for cross-species analysis, and text-mining approaches for automated hypothesis generation. His work spans Alzheimer's disease , autism , cancer , and malaria research. Scientific Recognition: Fellow, AAAS (2019) Michael E. DeBakey Excellence in Research Award (2015) Raymond & Beverley Sackler Fellowship (2005) Basil O’Connor Award (2001) Multiple AHA Fellowships & Awards

Cedrick Ansorgeمشاهده پروفایل

مدرس

• Turbulence Modeling
• Atmospheric Boundary Layer Dynamics
• Computational Fluid Dynamics
• +۳ مورد دیگر

Cedrick Ansorge is a Lecturer at the Institute of Meteorology within the Department of Earth Sciences at Freie Universität Berlin . His research focuses on turbulence modeling , atmospheric boundary layer dynamics , and computational fluid dynamics , with expertise in large eddy simulation (LES) and direct numerical simulation (DNS) of turbulent flows. Teaching: Theoretical Meteorology I/II (Master's level) Email: c.ansorge@fu-berlin.de His work addresses scale separation , roughness effects , and stability analysis in Ekman and planetary boundary layers, with applications to urban canopy turbulence and Arctic stratocumulus clouds . Recent publications emphasize hairpin vortices , turbulence intermittency , and subgrid closures . He collaborates on projects involving MOSAiC and sea ice dynamics , and manages datasets on turbulent wall-bounded flows . Notable contributions include advancements in Monin-Obukhov similarity theory , LES validation , and pressure-strain redistribution in stratified flows. His team includes researchers Sally Issa and Shreyas Deshpande . Office hours: Wednesday 10:30-11:30 am, Room 139, Carl-Heinrich-Becker-Weg 6-10, 12165 Berlin.

• Energy and combustion science
• Propulsion and power generation
• Experimental combustion
• +۱۰ مورد دیگر

Professor Ramanarayanan Balachandran is Professor of Energy Technologies in the Department of Mechanical Engineering at University College London. His academic career spans over two decades with expertise in combustion science, alternative fuels, and energy technologies, focusing on experimental approaches to solve complex engineering challenges in propulsion and power generation. His educational background includes: Doctor of Philosophy from University of Cambridge (2005) Master of Science from Indian Institute of Technology, Chennai (2003) Bachelor of Engineering (Honours) from Madurai Kamaraj University (1998) Professor Balachandran's research focuses on energy and combustion science with applications to propulsion and power generation systems. His work spans experimental combustion, multiphase flow dynamics, and alternative fuel technologies. He has made significant contributions to understanding hydrogen and ammonia combustion, thermoacoustic instabilities in gas turbine combustors, and pollutant formation mechanisms. His research employs advanced laser diagnostics to study complex combustion phenomena at high temporal and spatial resolution, with strong industry collaboration particularly with Siemens Energy. His recent publication record (including works dated 2025) demonstrates a strong focus on hydrogen and ammonia combustion technologies, with particular emphasis on lean direct injection systems, combustion dynamics, and stability characteristics. The work spans fundamental research on flame structure and dynamics to applied studies addressing practical challenges in gas turbine combustors. His research team has made important contributions to understanding the transition to thermoacoustic instabilities and developing methods for their prediction and control. Professor Balachandran has received numerous prestigious awards for his research contributions: Research Excellence Award (2020) from the Combustion Institute Distinguished Paper on Turbulent Flames (2015) from the Combustion Institute Sugden Award (2011) from the Combustion Institute British Section Most Cited Author Award (2008) from Combustion and Flame Instrumentation Award (2004) from Scientific Instrument Makers Company ASEM DUO-India Professorship Fellow (2020-2022) As an educator, Professor Balachandran has taught key modules including Introduction to Thermodynamics and Fluid Mechanics, Advanced Thermodynamics and Fluid Mechanics, and Thermal Power and the Environment. His research aligns with multiple United Nations Sustainable Development Goals including Affordable and Clean Energy, Climate Action, and Sustainable Cities and Communities, reflecting the societal relevance of his work on clean energy technologies. Professor Balachandran leads an active research group at UCL equipped with state-of-the-art facilities for combustion diagnostics and alternative fuel testing, with strong international collaborations spanning the UK, Europe, and Asia.

Lai Jia Chiمشاهده پروفایل

مدرس

• Waste Management
• Composting Technology
• Environmental Engineering
• +۳ مورد دیگر

Lai Jia Chi serves as a Lecturer in the Faculty of Engineering, Computing and Science at Swinburne University of Technology, Sarawak. She joined the institution as an Associate Lecturer in October 2015 and was promoted to Lecturer in 2016, maintaining active research and teaching roles in chemical and environmental engineering disciplines. Her educational background includes: Bachelor of Engineering (Hons) in Chemical Engineering, Curtin University, Malaysia (2011) Master of Philosophy in Chemical Engineering, Curtin University, Malaysia (2016) Dr. Lai's research focuses on sustainable waste management solutions , particularly intermittent composting methods for post-consumer and agricultural waste. Her work investigates microbial community dynamics during composting and develops practical approaches for compost quality enhancement . This research bridges chemical engineering principles with environmental sustainability, targeting real-world applications in community settings. Her recent publications (2018-2021) reveal a clear trajectory toward implementable composting technologies , emphasizing sensor integration for process monitoring, aeration optimization, and school-based implementation models. The work demonstrates strong alignment between laboratory research and community-scale applications. Dr. Lai's recognition includes: IEEE Region 10 TENHUMCH Humanitarian Technology Award (2020) for community food production initiatives Mech Merit Award at Innovation Technology Expo (2019) for composting process research She currently leads externally funded research on school food waste composting while maintaining active supervision of student projects. Her professional engagement includes membership in the Board of Engineers Malaysia and Institution of Chemical Engineers, reflecting commitment to both academic and professional engineering communities. Though no formal lab structure is documented, her research operates through university facilities and community partnerships, particularly with educational institutions implementing composting systems.

Farzaneh Derakhshanمشاهده پروفایل

استادیار

• Programming Languages
• Language-based Security
• Type Theory
• +۸ مورد دیگر

Farzaneh Derakhshan is an Assistant Professor in the Computer Science Department at Illinois Institute of Technology . Her research focuses on Programming Languages , Type Theory , and Formal Methods , with applications to concurrent programming , security verification , and intermittent computing . PhD in Pure and Applied Logic from Carnegie Mellon University (2021) Postdoctoral Fellow at Carnegie Mellon University Her research projects include: Designing modal logic for system verification Relational logic for GPU side-channel security Type systems for intermittent computing Behavioral types for security Advising : PhD Students: Godha Pallavi Bhogadi (co-advised with Stefan Muller), Myra Dotzel (co-advised with Limin Jia), Lang Liu Master's Students: Akash Madhu (co-advised with Minxuan Zhou) Scientific Awards : NSF Collaborative Award #2350217 for "Mixed Assurance Reasoning via Modal Logic" (2024) Teaching : Courses include CS595. Language-based Security , CS534. Types and Programming Languages , and CS440. Programming Languages and Translators at Illinois Tech.

• Neural Pathways
• Neurobiology
• Optical Imaging
• +۳ مورد دیگر

Justus Verhagen is an Associate Research Scientist at Yale School of Medicine's Department of Radiology & Biomedical Imaging, with a secondary appointment at The John B. Pierce Laboratory. His work integrates behavioral and neural methods, utilizing optogenetic imaging and stimulation in awake rodents to study food perception and olfactory processing. Education: PhD in Neuroscience, University of Delaware (2001) MSc in Cognitive Neuroscience, University of Amsterdam (1996) Dr. Verhagen's research focuses on olfactory system dynamics , particularly retronasal smell encoding, temporal coding of odor signals, and input-output relationships in olfactory bulb glomeruli. Collaborative projects include multi-modal imaging (fMRI/calcium imaging) with Fahmeed Hyder and exploration of odor navigation through the NSF-funded BRAIN Initiative. His recent publications analyze odor plume intermittency, neurovascular coupling, and advanced neural coding frameworks in olfactory systems. Key trends in his 15 most recent publications reveal expertise in olfactory bulb dynamics , optogenetic imaging , and multi-sensory integration across Neuroscience , Biomedical Imaging , and Behavioral Neuroethology disciplines.