جستجوی استاد راهنمای دانشگاهی

Boubacar Kanté is the inaugural Chenming Hu Endowed Chaired Professor at the University of California, Berkeley , affiliated with the College of Engineering and Department of Electrical Engineering and Computer Sciences . He leads research at the intersection of Nanophotonics , Plasmonics , Metamaterials , and Quantum Optics , with a focus on wave-matter interaction across microwave to optical frequencies. Education: Ph.D. in Engineering/Physics (Universite Paris Saclay, 2010), M.Eng. in Electrical Engineering and Computer Sciences (Ecole Polytechnique Universitaire de Lille, 2006), M.S. in Electrical Engineering/Telecommunications (Universite de Lille 1, 2006) His research explores topological photonics and bound state in continuum (BIC) lasers , addressing challenges in energy, defense, and health through novel optical devices. Notable inventions include the BerkSEL (Berkeley Surface Emitting Laser) and the first non-magnetic metamaterial invisibility cloak . Recent work focuses on quantum emitter synthesis in silicon , exceptional point-based sensors , and topological lasers . His publications span Nature , Science Advances , and Physical Review journals, emphasizing scalable quantum technologies and nonperiodic photonic systems. Scientific Awards: 2024 Bakar Prize 2021 Bakar Fellows Spark Award 2020 Moore Inventor Fellow 2017 ONR Young Investigator Award 2016 NSF Career Award 2010 Richelieu Prize 2007 URSI Young Scientist Award Kanté has advised Ph.D. students including Yertay Zhiyenbayev , Zhetao Jia , and Rushin Contractor . His group holds world records in plasmonic nanosensing and achromatic metalens bandwidth/efficiency . Current projects involve quantum internet technologies and silicon-based quantum light sources .

• Wave-Matter Interaction
• Nanophotonics
• Plasmonics
• +۵ مورد دیگر

Prof. Dr. Peter Sollich is a Professor of Theoretical Physics at Georg-August-Universität Göttingen, affiliated with the Institute for Theoretical Physics. His research spans non-equilibrium statistical physics with applications to soft matter, active systems, and complex networks. He maintains a small part-time appointment at King's College London. His primary research interests focus on non-equilibrium statistical physics , particularly soft and active matter rheology, jamming transitions, glassy dynamics, dynamical phase transitions, and inference from dynamical data. His work bridges theoretical physics with applications in materials science and network theory, emphasizing both fundamental mechanisms and quantitative modeling approaches. Analysis of his recent publications reveals strong thematic consistency in studying glassy dynamics and active matter systems , with increasing integration of machine learning techniques for network analysis. Key methodological threads include coarse-grained modeling, spectral analysis of complex systems, and non-equilibrium thermodynamics frameworks. His 2023-2025 work shows growing emphasis on nonreciprocal interactions in active mixtures and physics-inspired machine learning applications. Prof. Sollich actively supervises Bachelor's, Master's, and PhD students, welcoming thesis inquiries in theoretical physics. His group develops analytical and computational approaches to complex dynamical systems, with recent grants likely supporting work on network dynamics and active matter modeling (specific grants not detailed in source text). His research group operates within the Institute for Theoretical Physics at Göttingen, focusing on computational and analytical modeling of disordered systems. Current projects involve elastoplastic modeling of amorphous solids, spectral analysis of heterogeneous networks, and theoretical frameworks for active matter phase separation.

• Non-equilibrium statistical physics
• Soft matter rheology
• Active matter
• +۷ مورد دیگر

Gloria M. Rodriguez is an Associate Professor at the University of California, Davis School of Education. Her work centers on educational leadership, school finance, and social justice, with a focus on low-income students of color in K-12 and community college settings. She is principal investigator for the Leadership for Real Impact (LRI) project and director of the Capital Area North Doctorate in Educational Leadership (CANDEL) Ed.D. Program. Education: Ph.D., Education: Administration and Policy Analysis with minor in Organizational Studies – Stanford University, 1997 M.P.A., Columbia University, School of International & Public Affairs, 1989 B.A., Economics – U.C. Santa Cruz, 1986 A.A., Business – College of the Sequoias, 1984 Research Interests: Dr. Rodriguez investigates educational investment frameworks that leverage community strengths to address needs, alongside political economic conditions affecting Chicana/o-Latina/o communities and marginalized populations in the U.S. Her projects include the LRI initiative, Project EXCEL, and the Testimonios book project. Scientific Awards: Teaching Award, UCD Education Graduate Students Association, 2008 Award for Excellence in Teaching, UTEP College of Education, 2000 Jean Flanigan Award for Outstanding Dissertation, 1997-98 American Education Finance Association award, 1998 National Hispanic Scholarship Fund, 1996 Chicana/o Fellows Program Fellowship, Stanford, 1994-1995 Professional Service: She serves on the board of the American Education Finance Association, editorial boards for Educational Administration Quarterly , Journal of Education Finance , and Educational Policy Analysis Archives , and is affiliated with UC Davis Designated Emphasis in Feminist Theory & Research and the Center for Poverty Research.

• Educational Leadership
• School Finance
• Social Justice in Education
• +۴ مورد دیگر

Pete S. Batra, MD, is the Chairperson of the Department of Otorhinolaryngology – Head and Neck Surgery at Rush University Medical Center and holds the Stanton A. Friedberg, MD, Endowed Chair in Otolaryngology. He is a Professor at Rush Medical College and Director of the Rush Sinus, Allergy and Asthma Center. He previously served on faculty at the Cleveland Clinic and the University of Texas Southwestern Medical Center. Dr. Batra is a fellowship-trained rhinologist and skull base surgeon with over 20 years of experience. His research interests include: Microbiome analysis in healthy and diseased sinuses Endotyping and structured histopathology in chronic sinusitis Outcomes of minimally invasive skull base surgery Healthcare disparities in airway disorders His recent publications, including major consensus statements and reviews, focus on chronic rhinosinusitis, sinonasal tumors, balloon dilation techniques, and skull base reconstruction. These works reflect a strong trend toward evidence-based guidelines, multidisciplinary care, and personalized treatment strategies in rhinology and skull base surgery. His scientific awards include: Best Doctors of America Top Doctors of Illinois American Academy of Otolaryngology Distinguished Service Award (awarded twice) American Academy of Otolaryngology Honor Award Cleveland Clinic Innovator Award Dr. Batra has trained dozens of residents and fellows and has delivered over 400 national and international lectures. He is currently President of the American Rhinologic Society and chairs the Rush University Medical Group Finance Committee. He has co-edited a comprehensive textbook on chronic rhinosinusitis and is actively involved in multiple research initiatives, including outcomes studies and health disparities research. He leads the Rush Sinus, Allergy and Asthma Center, a multidisciplinary team dedicated to improving care for complex upper airway conditions.

• Otorhinolaryngology
• Rhinology
• Skull Base Surgery
• +۹ مورد دیگر

Professor Lyle Armstrong is a leading researcher at Newcastle University specializing in stem cell applications for ophthalmology and retinal disease modeling. His work focuses on developing induced pluripotent stem cell (iPSC)-derived retinal organoids to study inherited retinal disorders, evaluate therapeutic interventions, and understand disease mechanisms. He collaborates extensively with experts including Professor Majlinda Lako and Professor Evelyne Sernagor within Newcastle's research ecosystem. Armstrong's primary research interests include stem cell differentiation into retinal lineages, photoreceptor transplantation for vision restoration, and modeling genetic disorders such as Stargardt disease, retinitis pigmentosa, and age-related macular degeneration. His investigations frequently address mitochondrial dysfunction, splicing defects, and lysosomal storage pathologies in retinal cells. Recent work emphasizes single-cell transcriptomics to map retinal development and optimize disease modeling protocols. Analysis of his 2022-2025 publications reveals a strategic focus on translating stem cell models into clinical applications, particularly through drug screening, toxicity testing, and mechanistic studies of tissue-specific disease phenotypes. His editorial leadership in stem cell-ophthalmology methods underscores his influence in standardizing field protocols. No scientific awards were documented in the provided publication records. While student advising and grant details weren't explicitly listed, Armstrong's role as senior/corresponding author across 50+ publications indicates extensive mentorship of junior researchers. His work involves multidisciplinary teams spanning stem cell biology, genomics, and ophthalmology, though specific lab structures weren't detailed in the source material.

• Stem Cell Research
• Ophthalmology
• Regenerative Medicine
• +۵ مورد دیگر

Emek Demir serves as an Associate Professor in the Department of Molecular and Medical Genetics at Oregon Health & Science University's School of Medicine, where he directs the Computational Biology program at the Brenden-Colson Center for Pancreatic Care. His academic journey includes a Ph.D. in Computer Engineering from Bilkent University (2005) under Ugur Dogrusoz and postdoctoral training with Chris Sander at Memorial Sloan Kettering Cancer Center's Computational Biology Center. Dr. Demir's research centers on Pathway Informatics, integrating detailed biological pathway information with omic data to solve cancer biology problems. His work spans pathway curation, visualization, NLP, data standardization, machine learning, and mechanistic simulation. He pioneered the BioPAX pathway data standard and developed Pathway Commons—the largest process-level pathway database with over 2 million interactions and 400,000 detailed human reactions. His publication record demonstrates consistent innovation in computational oncology, with recent work focusing on transcription factor activity prediction, spatial tumor mapping, and causal network analysis. Key contributions include algorithms for detecting altered cancer sub-networks, identifying transcription factor modulators, and inferring active networks from proteomic data. His research bridges computational methods with clinical applications in leukemia, prostate cancer, and glioblastoma. Recipient of leadership roles in major NIH-funded initiatives Principal developer of Pathway Commons and BioPAX standards Extensive collaborations with Memorial Sloan Kettering and OHSU clinical departments Dr. Demir directs a computational biology program focused on translating pathway knowledge into clinical insights for pancreatic cancer, with ongoing projects in spatial omics, multi-dimensional tumor atlases, and antiviral nanomaterial applications.

• Computational Biology
• Cancer Bioinformatics
• Pathway Informatics
• +۵ مورد دیگر

Benjamin J. Becerra, Jr., DrPH, is an Adjunct Associate Professor at Loma Linda University’s School of Allied Health Professions, specializing in Cardiopulmonary Sciences. His career spans research, teaching, and clinical investigation, with a focus on public health, epidemiology, and health disparities. Doctor of Public Health (DrPH) - Loma Linda University, 2015 Postbaccalaureate Certificate - Loma Linda University, 2014 Master of Public Health (MPH) - Loma Linda University, 2011 Master of Science - University of California, Riverside, 2009 Master of Business Administration (MBA) - California State University, San Bernardino, 2016 Bachelor of Science - California State Polytechnic University, Pomona, 2006 Becerra’s research explores intersections of chronic diseases, mental health, and social determinants. Recent work includes voice disorders in chronic cough, health disparities among minority populations, and outcomes of therapeutic interventions. His publications span journals like Journal of Voice , International Journal of Environmental Research and Public Health , and American Journal of Otolaryngology . His grant-funded projects include studies on TSLP and pediatric leukemia mechanisms, glucocorticoid signaling in prostate cancer, and the impact of Medicare denials on patient care. Collaborations involve institutions such as the National Cancer Institute and NASA.

• Public Health
• Biostatistics
• Epidemiology
• +۳ مورد دیگر

Isaac M. Opper is a Senior Economist at RAND and a Professor of Policy Analysis at the RAND School of Public Policy. His work bridges econometric methodology and real-world policy challenges, with a strong focus on education, labor markets, and disaster recovery. His research interests include econometric models , education policy , program evaluation , and value-added modeling in education . He investigates how teachers affect student achievement, how peer dynamics influence training outcomes, and how natural disasters erode human capital. His methodological contributions involve developing and refining statistical tools for causal inference, including Bayesian approaches to treatment effect estimation. The 15 most recent articles reflect a deep engagement with policy-relevant empirical research, spanning education reform, criminal justice, health policy, and disaster economics. A unifying theme is the use of longitudinal and experimental data to estimate causal impacts, often with attention to demographic disparities and methodological innovation. Opper holds a Ph.D. in Economics from Stanford University. His scientific contributions are widely published through RAND, though no specific awards are listed in the provided text. Ph.D. in Economics, Stanford University He has not listed any formal advisees or students. His research is conducted within the RAND Corporation, where he contributes to major policy evaluations and methodological advancements. Current projects include evaluating pretrial diversion programs, forecasting post-disaster construction costs, and analyzing long-term wage growth by initial occupation.

• Econometric Models
• Education Policy
• Program Evaluation
• +۷ مورد دیگر

G. Wilson Miller is an Associate Professor of Radiology and Medical Imaging and Biomedical Engineering at the University of Virginia. He holds a PhD in Nuclear Physics from Princeton University (2000) and a BS in Mathematics from the University of Maryland (1993). His research focuses on MRI technique development, hyperpolarized gas imaging, and MR-guided focused ultrasound surgery. Key research areas include: Hyperpolarized noble gas MRI to map lung oxygen levels (PAO2) and microstructure Development of fast spiral pulse sequences for 3D PAO2 imaging RF coil design for hyperpolarized gas imaging MRI-guided focused ultrasound for non-invasive surgical interventions Notable projects include collaborations with the physics department to build a helium-3 hyperpolarizer and studies on focused ultrasound for blood-brain barrier opening. His work has advanced applications in lung cancer treatment planning, COPD phenotyping, and neurological disorders.

• MRI Technique Development
• Hyperpolarized Gas MR Imaging
• MR-Guided Focused Ultrasound Surgery
• +۳ مورد دیگر

Jose David Martin Guerrero is a Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His research is conducted within the Intelligent Data Analysis Laboratory (IDAL), focusing on the intersection of quantum computing, machine learning, and biomedical applications. His research interests span Quantum Machine Learning , Reinforcement Learning for Quantum Control , Deep Learning for Medical Image Analysis , and Long-COVID Symptom Trajectory Modeling . He applies advanced AI techniques to solve complex problems in physics, healthcare, and engineering, particularly in modeling prostate cancer, hemodialysis, and post-COVID neurological and functional impairments. The recent publications highlight a strong trend toward integrating quantum computing with classical machine learning, especially in developing quantum neural networks, quantum autoencoders, and reinforcement learning for quantum gate optimization. Simultaneously, a significant body of work uses clustering, deep learning, and Bayesian modeling to analyze longitudinal clinical data from multicenter studies like LONG-COVID-EXP, aiming to understand symptom persistence and recovery patterns in post-COVID patients. Dr. Martin Guerrero earned his PhD from the Universitat de València in 2004 with a thesis on unsupervised techniques for web trend detection and collaborative filtering-based recommendation systems, supervised by Dr. Emilio Soria Olivas and Dr. Paulo Jorge Gomes Lisboa. His work demonstrates active collaboration across disciplines, particularly in clinical research involving multicenter studies, and in quantum computing applications in physics and finance. While no specific grants are mentioned, his involvement in large-scale clinical studies and quantum computing research suggests significant project leadership and funding acquisition. He leads research within the Intelligent Data Analysis Laboratory (IDAL) , which focuses on self-organizing maps, clustering, learning vector quantization, and their applications in security, healthcare, and quantum systems.

• Quantum Machine Learning
• Reinforcement Learning
• Medical Informatics
• +۱۲ مورد دیگر

Andrew J. Spence is an Associate Professor in the Department of Bioengineering at Temple University's College of Engineering, where he leads the Spence Lab focused on locomotor neuromechanics and spinal cord injury. His work integrates experimental biology, mathematical modeling, robotics, and molecular genetic tools to understand how animals move and how movement can be restored after injury. PhD in Applied and Engineering Physics, Cornell University Postdoctoral training at UC Berkeley with Bob Full and Eileen Hebets Former RCUK Fellow and faculty at the Royal Veterinary College, London Joined Temple University in 2013 His research interests center on the control of locomotion, gait analysis, spinal cord injury, neuroprosthetics, and the application of optogenetics and chemogenetics (DREADDs) in neuromuscular disorders. He also explores biomechanics in diverse species, from insects to racehorses, seeking general principles of movement. The 15 most recent publications reveal a strong trend toward integrating genetic tools with biomechanical analysis, particularly in rodent models of spinal cord injury. His work spans fundamental questions in animal locomotion and applied research in rehabilitation, with increasing emphasis on closed-loop systems, automated tracking, and neuromodulation. RCUK Tenure Track Research Fellowship W.M. Keck Foundation predoctoral fellowship Spence advises a multidisciplinary team of students and postdocs, collaborates with Professors Michel Lemay and George Smith on spinal cord injury projects, and leads NIH-funded research. His lab develops open-source tools for locomotion analysis and has contributed significantly to understanding stability, gait transitions, and sensory feedback in movement. He teaches courses in neuroengineering and biomechanics at both undergraduate and graduate levels. The Spence Lab is actively involved in developing neurogenetic interventions for spinal cord injury, studying gait adaptation in complex environments, and creating innovative instrumentation for neuromechanical research.

• Locomotor Neuromechanics
• Spinal Cord Injury
• Biomechanics
• +۱۴ مورد دیگر

LaTonya N Oliver is an Instructor in the Department of Social Work within the College of Public Health at Temple University. She teaches both undergraduate and graduate courses, contributing to foundational and advanced training in social work practice, human behavior, and clinical interventions. Her research and teaching interests span a broad range of topics central to modern social work, including: Social determinants of health Human behavior in social environments Clinical practice with individuals, families, and groups Substance use and emotional disorders in adolescents Gender, sexuality, and health intersections Community and organizational systems The courses she teaches reflect a strong commitment to integrating real-world healthcare leadership and strategic planning into social work education. Her background in executive healthcare leadership enhances her pedagogy with practical insights into operational dynamics and systemic challenges. While no publications or research articles are listed in the provided text, her instructional portfolio suggests a focus on clinical training, behavioral health, and equity-centered practice. She plays a key role in shaping future social work professionals through seminars, field education, and capstone practicum courses. LaTonya Oliver is actively engaged in student mentorship and professional development, particularly through BSW field seminars and graduate-level clinical training. Her teaching philosophy emphasizes authentic healing relationships, empowerment, and purposeful systems change. She is affiliated with Temple University's academic and clinical training infrastructure in social work but there is no mention of specific labs, research teams, or funded grants in the provided material.

• Social Work
• Human Behavior in the Social Environment
• Clinical Practice
• +۷ مورد دیگر

Jianjun Dong is a Professor in the Department of Physics at Auburn University, holding the Thomas and Jean Walter Professorship from 2012 to 2017. His research focuses on theoretical and computational studies of condensed matter physics and materials physics, particularly lattice dynamics, thermal conductivity, and high-pressure phenomena. He has held positions including Visiting Professor at Vanderbilt University (2008) and Visiting Investigator at the Carnegie Institution’s Geophysical Lab (2007). Education: Ph.D., Physics, Ohio University, 1998 M.S., Physics, Ohio University, 1995 B.S., Physics, Beijing University, China, 1992 Research Interests: Professor Dong investigates thermal transport in materials under extreme conditions, including phonon dynamics, anharmonicity effects, and interfacial heat transfer. His work spans theoretical modeling, computational simulations, and applications to Earth’s mantle minerals, semiconductors, and novel materials. He has contributed to understanding thermal conductivity in rocksalt structures, clathrate materials, and high-pressure phases of oxides and nitrides. Key Technical Trends in Articles: His publications emphasize first-principles calculations, advanced algorithms for phonon lifetimes, and interdisciplinary approaches linking condensed matter physics to geophysics. Recent work explores unified statistical theories for heat conduction in nonuniform media and transient heat dynamics. Awards: Thomas and Jean Walter Professor of Physics (2012–2017) SPS Faculty Teaching Award: The Enthusiasm Award (2004) Grants and Advising: While specific grants are not detailed, his research has been supported by institutional and collaborative funding. He has advised students on topics in materials physics and computational modeling, though no named advisees are listed in available texts. Labs and Collaborations: His research group focuses on computational materials physics, with collaborations involving geophysical institutions and materials science groups. Key tools include density-functional theory and molecular dynamics simulations.

• Theoretical Condensed Matter Physics
• Computational Materials Physics
• Solid State Physics
• +۴ مورد دیگر

Lim Mei Kuan is a Senior Lecturer at the School of Information Technology, Monash University Malaysia. She holds a PhD in Computer Vision from Universiti Malaya and has conducted post-doctoral research in Artificial Intelligence. Her career includes roles as a researcher at MIMOS Berhad (2004-2007) and visiting researcher at Kingston University (2012-2013). Education: BSc (First Class Honours) in Computer Science, Universiti Malaysia Sarawak (2007) PhD in Computer Vision, Universiti Malaya (2015) Research Interests: Her work spans computer vision, machine learning, and their applications in smart manufacturing and digital health. Current projects include social media analytics for mental health monitoring, anomaly detection in manufacturing, and collaboration on clinical teletherapy systems. She actively explores swarm intelligence and deepfake detection technologies. Grants & Collaborations: DELTA: Inclusive Teletherapy (2022-2024) ADSM: Anomaly Detection for Smart Manufacturing (2022-2023) Sense-ED: Eating Disorder Relapse Detection (2021-2022) Awards: ITEX 2022 Silver Award for Self-Mind mental health app Labs & Teams: Active contributor to interdisciplinary projects with industry partners, focusing on AI-driven solutions for healthcare and manufacturing sectors.

• Computer Vision
• Machine Learning
• Smart Manufacturing
• +۴ مورد دیگر

Kyle Allen is a Professor at the University of Florida's Herbert Wertheim College of Engineering, specializing in Biomedical Engineering. His research focuses on understanding how degenerative musculoskeletal diseases like osteoarthritis (OA) and intervertebral disc degeneration lead to chronic pain and disability. He employs rodent disease models and clinical studies in both veterinary and human patients to explore behavioral, molecular, and structural aspects of these conditions. Education: B.S. in Mechanical Engineering & Economics, Rose-Hulman Institute of Technology (2002) Ph.D. in Bioengineering, Rice University (2006) Post-doctoral Fellowship in Orthopedic Surgery, Duke University (2011) Research Interests: Dr. Allen’s lab develops novel behavioral assays, magnetic nanoparticle-based diagnostic tools, and tissue engineering strategies to improve osteoarthritis treatment and preclinical-to-clinical translation. His work intersects biomechanics, molecular biology, and neurophysiology to address unmet clinical needs in joint disease management. Publications: His recent work includes AI-driven gait analysis in equine and rodent models, nanoparticle-based therapies, and proteomic studies of disease mechanisms. Key trends include leveraging machine learning for phenotypic analysis and exploring nanotechnology for targeted drug delivery. Awards: UF Doctoral Mentoring Award (2022-2023) NIH K99/R00 Pathways to Independence Award (2014) J. Crayton Pruitt Family Term Fellow (2017-2020) Advising & Grants: While specific student names are not listed, Dr. Allen’s lab focuses on training interdisciplinary researchers. His grants support studies on neuroimmune interactions in pain and translational biomaterials development. He chairs the Young Investigator Subcommittee for the Osteoarthritis Research Society International. Labs/Teams: The Orthopaedic Biomedical Engineering Laboratory collaborates with veterinary and clinical partners to bridge basic science and clinical applications in musculoskeletal health.

• Osteoarthritis
• Degenerative Joint Diseases
• Chronic Pain Mechanisms
• +۷ مورد دیگر