جستجوی استاد راهنمای دانشگاهی

Dawn Songمشاهده پروفایل

استاد

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +۷ مورد دیگر

Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, affiliated with multiple research centers including the Berkeley Artificial Intelligence Research Lab (BAIR) and the Berkeley Center for Responsible, Decentralized Intelligence (RDI). She holds leadership roles in AI safety, cybersecurity, and blockchain research. Her work bridges machine learning, security, and distributed systems, with notable contributions to formal verification, privacy-preserving technologies, and AI governance. Education: Ph.D. (2002) and M.S. (1999) in Computer Science from UC Berkeley and Carnegie Mellon University, respectively. She previously served as an Assistant Professor at Carnegie Mellon University before joining UC Berkeley in 2007. Research Interests: Dawn's work focuses on AI safety, cybersecurity, and the ethical implications of frontier AI. She explores topics such as large language model vulnerabilities, zero-knowledge proofs, blockchain security, and policy frameworks for AI governance. Her research combines theoretical rigor with practical applications, addressing challenges in secure systems, adversarial machine learning, and privacy-preserving computation. Publications: Her recent work includes groundbreaking studies on LLM memorization, smart contract decompilation, and AI agent cybersecurity evaluation. She also leads initiatives like the Singapore Consensus and California Report on AI safety priorities, emphasizing global collaboration in risk mitigation. Notable Awards: MacArthur Fellowship (2010), ACM Fellow (2019), IEEE Fellow (2019) Advising & Grants: She advises projects on AI policy and cybersecurity, securing grants from NSF, DARPA, and industry collaborations. Her lab develops tools like CyberGym for evaluating AI agents and zkPyTorch for secure machine learning. Labs & Teams: Her research groups at UC Berkeley focus on cutting-edge projects in AI safety, blockchain, and cybersecurity, collaborating with industry leaders and policymakers to advance both technical and ethical standards.

Abhijit Banerjeeمشاهده پروفایل

استاد

• Economics
• Development Economics
• Public Health Policy
• +۳ مورد دیگر

Abhijit Banerjee is a Professor in the Department of Economics at the Massachusetts Institute of Technology (MIT). His research focuses on development economics, public health policy, and social protection programs, particularly addressing poverty and inequality in low- and middle-income countries. He has conducted large-scale experiments evaluating interventions such as conditional cash transfers, universal basic income, and healthcare policies. Key areas of interest include the design and implementation of anti-poverty programs, behavioral economics, and the long-term health impacts of infectious diseases like COVID-19. His work often integrates experimental methods to assess policy effectiveness, with contributions to global health studies and economic development strategies. Notably, his research on the RECOVERY trial evaluates treatments for hospitalized COVID-19 patients, while other studies explore financial spillover effects of electronic government transfers in Indonesia and savings behavior interventions in Chile. Banerjee has collaborated on projects analyzing post-COVID-19 health outcomes, labor market dynamics in India, and the role of trusted messengers in public health communication during crises. Despite the breadth of his contributions, specific details about his educational background, grants, or lab affiliations are not explicitly provided in the source text.

Hanjie Chenمشاهده پروفایل

استادیار

• Natural Language Processing
• Interpretable Machine Learning
• Trustworthy AI
• +۵ مورد دیگر

Hanjie Chen is an Assistant Professor in the Department of Computer Science at Rice University, affiliated with the Ken Kennedy Institute. She holds a Ph.D. from the University of Virginia and a Master's from the University of Science and Technology of China. Her research focuses on Natural Language Processing, Interpretable Machine Learning, and Trustworthy AI, emphasizing model explainability, alignment with human needs, and applications in healthcare, sports, and medicine. She has advised numerous students and led initiatives in AI ethics and education. Education: Ph.D. (Computer Science, UVA 2023), M.Sc. (USTC 2018), B.Sc. (Nanjing University of Aeronautics and Astronautics 2015). Awards include the Outstanding Doctoral Student Award (UVA 2023) and John A. Stankovic Research Award (UVA 2023). She has organized workshops like BlackboxNLP and served on program committees for ACL, NAACL, and EMNLP. Her recent work includes developing benchmarks like SPORTU for multimodal LLMs, evaluating medical question-answering systems, and advancing methods for robust rationale evaluation (RORA). She teaches courses on Natural Language Processing and Trustworthy NLP, emphasizing pedagogical innovation recognized by teaching awards at UVA. Research collaborations include internships at Microsoft Research, IBM, and the Allen Institute for AI. She mentors students in SURF programs and advocates for diversity in tech, serving as a mentor in UVA's CSGSG Council.

Amin Keramatiمشاهده پروفایل

استادیار

• Transportation & Logistics
• Supply Chain Management
• Data Analytics
• +۴ مورد دیگر

Dr. Amin Keramati is an Assistant Professor of Supply Chain Management at Widener University’s School of Business Administration. He holds a PhD in Transportation & Logistics from North Dakota State University and previously served as a graduate research assistant at the Upper Great Plains Transportation Institute. His work includes federally funded projects like the Mountain-Plains Consortium’s MPC-550 project, focusing on highway-rail grade crossing safety. Dr. Keramati teaches courses in enterprise resource planning, decision analytics, database management, transportation/logistics, project management, and data analytics. Education: PhD in Transportation & Logistics, North Dakota State University Graduate Research Assistant at Upper Great Plains Transportation Institute Research Focus: Dr. Keramati develops mathematical, statistical, and machine learning approaches to solve complex problems in transportation, supply chain, and logistics. Key areas include data mining, big data decision support, transportation network analytics, project scheduling, smart manufacturing, and accident analysis. His interdisciplinary work bridges supply chain optimization with emerging technologies like blockchain for healthcare and clinical trials. Awards & Recognition: Student Paper Award, American Association of State Highway and Transportation Officials (2017) Grants & Projects: Lead researcher on the Mountain-Plains Consortium’s MPC-550 project, which expanded his dissertation work on safety systems for highway-rail crossings. Collaborates on federally funded transportation safety initiatives and supply chain optimization for bioethanol and pharmaceutical industries. Labs/Teams: Active in Widener’s School of Business research groups focusing on supply chain innovation and interdisciplinary projects combining logistics with emerging technologies.

Avi Turetskyمشاهده پروفایل

استاد مدعو

• Private Equity
• Portfolio Management
• Quantitative Research
• +۳ مورد دیگر

Avi Turetsky is an Adjunct Professor at the Weatherhead School of Management (Case Western Reserve University) and a Research Fellow in private equity. Currently a Partner and Co-Head of the Quantitative Research Group (QRG) at Ares Management, he oversees original research, quantitative software development, and tools production teams. Previously served as Chief Operating Officer for The Riverside Company's Europe Fund and holds advisory roles at EDHEC and INSEAD . Research Focus: Turetsky’s work bridges private equity practice and quantitative finance, examining distributional patterns in investment outcomes, competency frameworks for financial professionals, and mathematical models for performance evaluation. His recent publications explore robust statistical methods in portfolio construction, direct alpha calculations for skill assessment, and sector-based value creation strategies in private equity-owned companies. Key Article Trends: His research spans 2016–2023, emphasizing quantitative methodologies in private equity, including skew analysis , value creation metrics , and competency clustering . Topics range from alliance changes in intercollegiate athletics to mathematical modeling of investment professional performance. Leadership & Teams: At Ares Management, Turetsky co-leads the QRG, managing cross-functional teams in Original Research , Quantitative Software Development , and Tools Production . He collaborates with investment teams to integrate quantitative strategies into decision-making processes.

Lori Escallierمشاهده پروفایل

استاد

• Nursing Education
• Mentorship Models
• Workforce Diversity
• +۴ مورد دیگر

Lori Escallier, PhD, RN, CPNP-PC, FAAN is a Professor and Dean at the College of Nursing, Downstate Health Sciences University. With over 36 years of experience in nursing education, she is recognized nationally for developing innovative mentorship models and educational engagement strategies that have significantly impacted underrepresented and minority nursing students. Academic Qualifications BSN from Salve Regina College (1980) MSN from SUNY Stony Brook (1988) PhD from Adelphi University (1995) Her research focuses on diversifying the nursing workforce, addressing healthcare disparities, and leveraging veteran experiences in academic settings. She pioneered the Veteran to BS Program, translating military experience into academic credit, and co-authored the award-winning RWJF/AACN Transition to Practice Toolkit. Scientific Awards RWJF Innovation Award Above and Beyond Award (2015) Fellow of the American Academy of Nursing (FAAN) Her publications emphasize nurse mentorship, veteran healthcare transitions, and digital tools for reducing disparities. She has secured over $9M in grants from RWJF and HRSA to support these initiatives.

Salvatore Callesanoمشاهده پروفایل

استادیار

• Sociolinguistics
• Bilingual Communities
• Language Perception
• +۴ مورد دیگر

Salvatore Callesano is an Assistant Professor of Hispanic Linguistics at the University of Illinois Urbana-Champaign (UIUC), affiliated with the Department of Spanish and Portuguese and the College of Liberal Arts & Sciences. His research focuses on sociolinguistics, particularly bilingual communities in the U.S., language perception, and digital media representations of bilingualism. He employs both quantitative and qualitative methods to investigate how language variation interacts with identity, media, and social structures. Dr. Callesano collaborates on Project 16 of the Asociación de Lingüística y Filología de América Latina, addressing linguistic aspects of Latin American diaspora communities. His work bridges traditional sociolinguistic inquiry with modern digital practices, analyzing how social media shapes perceptions of language use among Latinx populations. Recent research highlights include studies on code-switching in Miami's linguistic landscape, dialect perception, and the role of media in mediating language attitudes. His publications span peer-reviewed articles and book reviews, emphasizing empirical rigor and interdisciplinary connections between language, culture, and society.

David Trendمشاهده پروفایل

استاد

• Cultural Studies
• Media Analysis
• Critical Pedagogy
• +۳ مورد دیگر

David Trend is a Professor and former Chair of the Department of Art at the Claire Trevor School of the Arts, University of California, Irvine. He previously served as Dean of Creative Arts at De Anza College and Graduate Program Coordinator at San Francisco State University's Inter-Arts Center. Trend specializes in visual culture, cultural studies, and critical pedagogy, teaching courses like Language and Vision in Everyday Life and Media, Art, and Technology . His research bridges media analysis, education policy, and radical democracy. He has authored over 200 articles and 16 books, including Elsewhere in America and Reading Digital Culture . As a Getty Scholar, his work explores cultural belonging, digital media impacts, and educational innovation. He advises on state arts councils and the National Endowment for the Arts. His academic contributions span visual arts education, media literacy, and the sociopolitical role of art. Education: - MFA in Photography, Visual Studies Workshop Program, SUNY Buffalo - PhD in Curriculum Theory, Miami University Research Interests: Trend's work examines cultural crises of meaning, digital media's societal impact, and the intersection of art with education and activism. He critiques gentrification's artistic drivers, explores identity formation in digital spaces, and advocates for culturally democratic pedagogical frameworks. Publications Trends: Recent works focus on gentrification's artistic dimensions ( 2022 ), creativity crises ( 2020 ), and belonging in fragmented cultures ( 2016 ). Earlier work addressed media violence myths ( 2007 ), digital literacy ( 2001 ), and radical democracy ( 1996 ). His writing spans academic critiques to practical pedagogical solutions. Awards: Getty Scholar Grants & Consulting: Extensive NEA collaborations, foundation advising, and state arts council consultations. His work emphasizes bridging educational institutions with Silicon Valley corporations through multimedia partnerships. Labs/Teams: Affiliated with UCI's University Art Galleries, Institute and Museum of California Art, and Electronic Art + Design programs.

Jon Singletaryمشاهده پروفایل

استاد

• Social Work Education
• Congregational Community Ministries
• Community Development
• +۵ مورد دیگر

Jon Singletary serves as Dean and holds the Diana R. Garland Endowed Chair of Child and Family Studies at Baylor University's Diana R. Garland School of Social Work. He joined Baylor in 2003 after earning his PhD in Social Work from Virginia Commonwealth University (VCU), alongside an MSW from VCU and MDiv from Baptist Theological Seminary. His career includes prior roles as Associate Dean (2010–2015) before becoming Dean in 2015. Before academia, Singletary worked as a pastor, community organizer, and social service administrator. His research focuses on strengthening congregational ministries, community development, and advocacy for vulnerable populations. Notable projects include launching the Texas Hunger Initiative and directing the Strengthening Congregational Community Ministries Project. He co-founded the Faith and Service Technical Education Network (FASTENnetwork.org) to bridge faith-based organizations and social service sectors. His publications explore spirituality's role in social work, faith-based program development, and community organizing strategies. Recent work examines career resilience among professionals in aging care and leadership development through Enneagram frameworks. Earlier research addressed child food security, orphan care in Kenya, and rural community capacity building. Singletary's leadership emphasizes integrating faith and practice, evidenced by his edited volumes on Christianity and social work, and his advocacy for competency-based education models. He holds leadership roles in national organizations like the North American Association of Christians in Social Work and has advised global initiatives in Africa.

• Psycholinguistics
• Cognitive Psychology
• Speech Prosody
• +۴ مورد دیگر

Andrés Buxó-Lugo serves as an Assistant Professor of Psychology at the University at Buffalo, where he directs the Language Processing and Computation Lab. His research investigates the cognitive mechanisms underlying language production, comprehension, and acquisition with a specialized focus on speech prosody—the rhythm, intonation, and intensity patterns in speech—and their role in human communication. His primary research interests include psycholinguistics, cognitive psychology, speech prosody, language production, language comprehension, language acquisition, and computational linguistics. He examines how listeners integrate diverse linguistic cues during speech processing, how individuals learn unfamiliar constructions like non-native pronunciations or novel prosodic patterns, and the cognitive basis of durational changes in speech. His work also explores how communicative context shapes prosodic production and how higher-level linguistic information aids prosodic structure parsing. Analysis of his 15 most recent publications (2019-2025) reveals consistent interdisciplinary work bridging cognitive science, linguistics, and computational modeling. Key trends include phonological representation studies, speech planning mechanisms, intonation adaptation across talkers, lexical representation structures, and the integration of input expectations in syntactic parsing. His research demonstrates significant methodological diversity, incorporating experimental paradigms, computational modeling, and acoustic analysis to unravel language processing complexities. As director of the Language Processing and Computation Lab at the University at Buffalo, Buxó-Lugo leads research initiatives focused on developing computational models of language processing while investigating the cognitive foundations of speech and prosody through empirical experimentation and theoretical innovation.

Marcia O'Malleyمشاهده پروفایل

استاد

• Haptics
• Robotics
• Biomechanics
• +۵ مورد دیگر

Marcia O’Malley is the Thomas Michael Panos Family Professor in Mechanical Engineering, Computer Science, Electrical and Computer Engineering, and Bioengineering at Rice University’s George R. Brown School of Engineering. She chairs the Department of Mechanical Engineering and directs the Mechatronics and Haptic Interfaces (MAHI) Lab. Her research focuses on haptics and robotic rehabilitation, particularly wearable robotic systems for training and rehabilitation in virtual environments. She holds adjunct roles at Baylor College of Medicine and the University of Texas Medical School. Educated at Purdue University (B.S., 1996) and Vanderbilt University (M.S./Ph.D., 1999/2001), Dr. O’Malley has been recognized with prestigious awards, including the ONR Young Investigator Award, NSF CAREER Award, and multiple fellowships. She has twice won Rice’s George R. Brown Award for Superior Teaching. Her work bridges engineering and medicine, addressing human-robot interaction challenges in surgical training, workforce safety, and neurorehabilitation. The MAHI Lab develops devices like the hBracelet and Rice Haptic Rocker to enhance human-robot collaboration. She co-founded Houston Medical Robotics, Inc., applying her innovations to real-world medical applications. Research Interests: Haptics, wearable robotics, neural interfaces, surgical training metrics, and rehabilitation robotics. Labs/Teams: MAHI Lab (Biosciences Research Collaborative), collaborations with medical institutions. Grants/Awards: Extensive funding from NSF, ONR, and industry partnerships; leadership in editorial roles for IEEE Transactions on Haptics.

Sanjay Purushothamمشاهده پروفایل

استادیار

• Machine Learning
• Data Mining
• Optimization Theory
• +۵ مورد دیگر

Sanjay Purushotham is an Assistant Professor in the Department of Information Systems at the University of Maryland Baltimore County (UMBC), with a PhD in Electrical Engineering from the University of Southern California (USC) and a postdoctoral background in Computer Science at USC's Integrated Media Systems Center (IMSC). His research focuses on machine learning, data mining, and their applications in biomedical informatics, social network analysis, and multimedia data mining. Key contributions include survival analysis models using pseudo values and federated learning frameworks for healthcare data. He has received awards including the Best Paper Award at SIGSPATIAL 2014 and a Best Poster Runnerup at SCMLS 2016. Education: PhD in Electrical Engineering (USC), Postdoc in Computer Science (USC) His work spans interdisciplinary areas such as domain adaptation for remote sensing, thermal face translation, and interpretable neural networks for medical applications. Recent projects include federated survival analysis models and climate-informatics frameworks for cloud property retrieval. He teaches courses in artificial intelligence, healthcare informatics, and statistical learning at UMBC. Research highlights include developing MedFuseNet for multimodal medical question answering and VDAM for multi-sensor cloud data analysis. His work on fair survival analysis models addresses algorithmic bias in healthcare predictions. Current grants include a NSF CAREER award for trustworthy federated learning in computational healthcare.

• Developmental Psychopathology
• Child Anxiety Disorders
• Adolescent Depression
• +۲ مورد دیگر

Jeremy K Fox is Associate Professor of Psychology at Montclair State University's College of Humanities and Social Sciences, where he directs the RECAP (Research on Emotion, Coping and Anxiety in Pediatrics) laboratory. His research examines developmental pathways to childhood anxiety and depression. Education includes: PhD in Clinical Psychology, State University of New York at Albany MA in Psychology, State University of New York at Albany BA in Psychology, Johns Hopkins University Research focuses on temperament-environment interactions, emotion regulation deficits, and school-based interventions. Current work investigates parental influences on anxiety development and peer-supported treatment models for minority youth. Articles demonstrate consistent focus on improving mental health service accessibility. Leads graduate training in clinical psychology and mentors doctoral students in anxiety research. RECAP lab investigates affective mechanisms underlying adolescent distress and develops digital interventions for school settings.

Vicente Talanquerمشاهده پروفایل

استاد

• Chemistry Education Research
• Student Reasoning
• Assessment of Learning
• +۳ مورد دیگر

Vicente Talanquer is a University Distinguished Professor in the Department of Chemistry and Biochemistry at the University of Arizona, College of Science. His academic journey includes a B.S., M.A., and Ph.D. in Chemistry from the Universidad Nacional Autónoma de México (UNAM), followed by postdoctoral research at the University of Chicago's James Frank Institute. He has held various academic roles, including Professor and Associate Professor at UNAM before joining the University of Arizona in 2000. His research focuses on chemistry education, particularly student reasoning, assessment, and the development of chemical thinking. Key areas include understanding how students conceptualize chemical reactions, design learning progressions, and improve formative assessment strategies. He has led initiatives such as the Instructional-Teams Model to enhance teaching practices in STEM courses. Dr. Talanquer has received numerous awards, including the ACS Award for Achievement in Research (2021) and Arizona Professor of the Year (2015). He actively contributes to national and international educational committees, editorial boards, and professional societies such as the American Chemical Society and NARST. His work emphasizes curriculum innovation, teacher preparation, and fostering equity in science education. His research is supported by grants from the National Science Foundation and the UA Provost Investment Fund, focusing on active learning, large-enrollment course redesign, and systems thinking approaches. Talanquer's publications span over 200 peer-reviewed articles, textbooks, and educational resources in chemistry education, reflecting his commitment to advancing both research and practice in the field.

Nima Mesgaraniمشاهده پروفایل

دانشیار

• Acoustic Signal Processing
• Computational Neuroscience
• Brain-Machine Interface
• +۳ مورد دیگر

Nima Mesgarani is an Associate Professor of Electrical Engineering at Columbia Engineering, Columbia University, affiliated with the Sense, Collect and Move Data Committee. His research bridges engineering and neuroscience through reverse-engineering neural signal processing mechanisms, leading to advancements in brain-machine interfaces, neural prosthetics, and speech processing algorithms. He received his PhD in Electrical Engineering from the University of Maryland and completed postdoctoral training at Johns Hopkins University's Center for Language and Speech Processing and UC San Francisco's Neurosurgery Department. Research Focus Professor Mesgarani's lab integrates computational neuroscience and engineering to study acoustic signal processing. Key areas include: Neural decoding of speech and auditory attention in multi-talker environments Development of brain-controlled hearing technologies Novel speech separation and synthesis algorithms inspired by cortical processing Cross-modal learning between auditory and visual systems Applications of large language models in neural signal interpretation Publication Trends Analysis of his 15 most recent articles (2025) reveals dominant themes: neural decoding techniques using intracranial EEG, brain-inspired speech separation models (e.g., Mamba architectures), applications of large language models in auditory neuroscience, cross-modal distillation methods, and clinical translation of audio processing algorithms. A strong emphasis emerges on real-time brain-computer interfaces and noise-robust speech processing. Laboratory and Collaborations Mesgarani directs an interdisciplinary lab developing neurotechnology for hearing restoration. His team collaborates with neurosurgery departments and speech processing centers, focusing on translating theoretical models into clinical brain-machine interfaces. The lab's work has yielded patents for brain-informed speech separation systems and attention-decoding frameworks.