جستجوی استاد راهنمای دانشگاهی

Gowtham Kakiمشاهده پروفایل

استادیار

• Programming Languages
• Formal Methods
• Distributed Systems
• +۴ مورد دیگر

Gowtham Kaki is an Assistant Professor in the Department of Computer Science at the University of Colorado Boulder. His research focuses on the intersection of Programming Languages, Formal Methods, and Distributed Systems, with emphasis on automated verification techniques for concurrent and distributed programs. Education: Purdue University (PhD), BITS Pilani (Bachelors) Research Interests: Programming Languages, Formal Methods, Distributed Systems, Security, and AI Teaching: CSCI 3155 (Principles of Programming Languages), CSCI 7000 (Principles of Functional Programming), CSCI 5535 (Foundations of Programming Languages), and CSCI 7000 (Distributed Systems Verification) His work has produced 15 recent publications in verification techniques for distributed systems, including runtime-assisted convergence, CRDTs, and cryptographic secrecy. He has also received multiple awards including Google's PhD Fellowship and BITS Pilani's 30-under-30 recognition. He actively collaborates with the CUPLV research group and serves on program committees for OOPSLA, PLDI, and PaPoC conferences. His GitHub repositories demonstrate technical contributions in OCaml, taint analysis, and Z3 SMT integration.

• Federated Learning
• Privacy-Preserving Machine Learning
• Distributed Deep Learning
• +۴ مورد دیگر

Praneeth Vepakomma is an active researcher in the field of machine learning with a strong publication record spanning from 2015 to the present. His work primarily focuses on privacy-preserving distributed learning systems, with particular emphasis on federated learning, split learning, and techniques for maintaining data privacy while enabling collaborative AI development. His research interests center around developing efficient and privacy-preserving machine learning frameworks. Vepakomma has made significant contributions to federated learning optimization, split learning architectures, and differential privacy techniques for deep learning systems. His recent work has increasingly focused on adapting these techniques for large language models, addressing communication efficiency challenges and privacy concerns in distributed fine-tuning scenarios. Analysis of his publication trends reveals a clear trajectory from foundational work in privacy-preserving machine learning (2015-2019) to increasingly sophisticated approaches for distributed learning systems (2020-2025). His recent publications demonstrate a strong focus on solving practical challenges in federated and split learning for large language models, with particular attention to communication efficiency, privacy guarantees, and architectural innovations for heterogeneous environments. Vepakomma has established a robust collaborative network, most notably with Ramesh Raskar (50+ co-authored papers), indicating a long-standing research partnership. His work bridges theoretical foundations with practical implementations, making significant contributions to the advancement of privacy-preserving distributed machine learning.

• Statistics
• Econometrics
• Financial Risk Modeling
• +۵ مورد دیگر

Assoc. Prof. Nikolay Chudomirov Netov serves as Head of the Department of Statistics and Econometrics at Sofia University's Faculty of Economics and Business Administration, with over fifteen years of experience in international scientific, applied, and educational projects across global collaborations. His research spans critical interdisciplinary domains: Financial Risk Modeling (Value at Risk, Black-Scholes algorithms, stock market forecasting) Transportation Analytics (telecom data-driven public transport optimization, passenger flow modeling) Public Policy & Digitalization (e-government services, citizen sentiment analysis using transformer models) Public Health (vaccination patterns, screen time evaluation, autoimmune disease modeling) Recent publications reveal accelerating convergence of advanced computational techniques with societal challenges, particularly through: Transformer-based NLP for granular public sentiment/emotion analysis in government domains Anonymized telecommunications data applications for sustainable urban mobility solutions Hybrid mathematical-statistical frameworks for financial and biological systems Scientific recognition includes: Annual award for "Career in IT" project (2014) Responsible Business Award in "Investor in Knowledge" category (2015) Netov actively bridges academia-business divides through project leadership, notably as Board Director of FEBA's Alumni Association (Bulgaria's largest with 7,000+ members). His "Career in IT" initiative exemplifies successful NGO-business-academia partnerships, while current research focuses on data-driven public service optimization and financial risk modeling. Departmental leadership combines with international project coordination to advance Sofia University's research profile in computational social sciences.

• Communication Studies
• Journalism
• Mediation
• +۷ مورد دیگر

Gloria AWAD is a Lecturer HDR in Information and Communication Sciences at the University of Artois, affiliated with the School of Economics, Management, Administration and Social Sciences. She holds a Habilitation to Supervise Research (2009) and a Doctorate in Information and Communication Sciences (1994) from Paris-Sorbonne University. Her research focuses on communication, journalism, and mediatization processes, particularly exploring digital post-chirography, secondary orality, and the construction of events in media contexts. Education: Habilitation to Supervise Research (2009), University of Strasbourg Doctorate in Information and Communication Sciences (1994), Paris-Sorbonne University Diploma of Advanced Studies (1987), Paris-Sorbonne University Research Interests: Her work examines communication as a mediator of identity and experience, with emphasis on journalistic mediation, professional communication practices, and media event construction. Key themes include digital post-chirography, secondary orality, and the interplay between media and societal identity. Publications: A prolific scholar, AWAD has authored books on journalism ontology, professional communication, and mediatization processes. Her articles and conference papers span digital media dynamics, crisis communication, and the evolution of journalistic practices in the digital age. Responsibilities: She has held administrative roles including co-responsibility for the Master's program in Human Resources Management and served on evaluation committees. AWAD is also a member of editorial boards for journals like Les Cahiers du Journalisme and contributes to academic networks such as the SFSIC. Labs/Teams: Active in the Textes et Cultures Research Center (UR 4028), she participates in interdisciplinary projects analyzing discourse, mediation processes, and digital communication dynamics.

• Media literacy
• Digital skills
• Digital literacy
• +۵ مورد دیگر

Joyce Vissenberg is a research fellow at the Lab for Media Culture & Policy , KU Leuven, Belgium. Her work revolves around media literacy, digital skills, and youth-media interaction, with a strong emphasis on evaluating interventions that boost young people’s resilience to online misinformation. Research focus Vissenberg investigates how adolescents evaluate the credibility of online news, how parental mediation shapes digital-literacy trajectories, and how multi-stakeholder governance can foster effective media-literacy policies. She combines systematic reviews, cross-national surveys, and policy-oriented deliverables to bridge research and practice. Recent publications Across 2024-25 she has led or co-authored a series of high-impact outputs—including systematic evidence reviews, intervention evaluations, and practitioner guidelines—within the EU-funded REMEDIS consortium. These works converge on designing, assessing, and scaling media-literacy programmes for diverse youth audiences. Grants & projects She is a core team member of the REMEDIS project (Horizon Europe), responsible for developing evaluation frameworks and stakeholder recommendations across twelve European intervention pilots.

Fan Laiمشاهده پروفایل

استادیار

• Machine Learning Systems
• Cloud Computing
• Networked Systems
• +۳ مورد دیگر

Dr. Fan Lai is an Assistant Professor at the Department of Computer Science, University of Illinois Urbana-Champaign (UIUC) , where he leads research at the intersection of Machine Learning, Systems, and Computer Networking . His work focuses on building practical systems for efficient GenAI applications across cloud and planetary scales, with real-world adoption by companies like Meta, LinkedIn, and Cisco . Education : Ph.D. in Computer Science from the University of Michigan (2023) Previous Roles : Systems Research@Google, Meta AI Research areas include: Cloud ML Systems (LLMs, Image/VideoGen, DLRMs) Collaborative Learning (Federated Learning, Edge-Cloud ML, Hyperscale Training) ML for Systems (Resource Management, Network Optimization) Recent publications span top conferences like SOSP'25, MICRO'25, MLSys'25, SIGMOD'25 , covering topics from LLM serving to distributed training compression . Awards include ACM SIGOPS Honorable Mention , David J. Kuck Dissertation Prize , and ML and Systems Rising Stars . Teaching includes CS 498: Machine Learning Systems and CS 598: Systems for GenAI . Actively mentoring PhD and MS students in ML systems research, with prior mentees transitioning to institutions like Princeton and UW .

• Marine Restoration
• Oyster Reef Ecology
• Seagrass Ecosystems
• +۳ مورد دیگر

Sean Connell is a Professor in the School of Biological Sciences at the University of Adelaide. His award-winning research focuses on restoring degraded coastal ecosystems, particularly through innovative techniques for rebuilding oyster reefs and seagrass meadows. He leads large-scale marine restoration projects recognized as among the Southern Hemisphere's most significant. Connell pioneered revolutionary acoustic attraction methods using underwater soundscapes to enhance oyster recruitment. His work bridges engineering, ecology, and community engagement to improve coastal resilience and biodiversity. Key achievements include establishing Australia's largest oyster reef restoration and advancing nature-based solutions for water quality enhancement. Recent publications demonstrate diverse applications of restoration science, including kelp forest recovery, marine spatial planning, bioacoustic monitoring, and policy frameworks for marine conservation. His research consistently integrates ecological theory with practical solutions. Recipient of multiple innovation and conservation awards Global leader in kelp forest restoration initiatives Developer of acoustic attraction technology adopted internationally Connell directs the Marine Restoration Research Group and collaborates with government agencies, NGOs, and coastal communities to implement evidence-based restoration strategies.

Krishnakumar Balasubramanianمشاهده پروفایل

دانشیار

• Deep Learning Theory
• Sampling and Stochastic Optimization
• Geometric Statistics
• +۵ مورد دیگر

Krishnakumar Balasubramanian is an Associate Professor in the Department of Statistics at the University of California, Davis. His research focuses on deep learning theory, sampling and stochastic optimization, geometric and topological statistics, and nonparametric methods. He has contributed to advancements in high-dimensional statistical inference, optimization algorithms, and theoretical foundations of machine learning. He holds a Ph.D. in Statistics and has published extensively in top-tier journals and conferences. His work bridges statistical theory with practical machine learning challenges, addressing topics such as sampling algorithms, non-smooth optimization, and the analysis of complex data structures like manifolds and networks. Notably, he won the Grad Advising Award, reflecting his dedication to student mentorship. His research spans diverse areas including Stein's method applications, Langevin Monte Carlo analysis, and the theoretical properties of gradient descent dynamics. He also explores nonparametric modeling, geometric statistics, and the interplay between optimization and statistical guarantees in high-dimensional settings. Key Areas: Deep Learning Theory, Stochastic Optimization, Geometric Statistics, Topological Data Analysis, Nonparametric Methods, High-Dimensional Statistics Awards: Grad Advising Award Advising: Actively involved in mentoring graduate students, as highlighted by his award.

Yousif M Qasmiyehمشاهده پروفایل

پژوهشگر

• Refugee Literature
• Arabic-English Translation
• Poetry
• +۴ مورد دیگر

Yousif M Qasmiyeh is a Researcher at the University of Oxford's Faculty of English Language and Literature and Post-Award Member at St Anne's College. He serves as Writer-in-Residence for the AHRC-ESRC funded Refugee Hosts project, Joint Lead of the Imagining Futures Baddawi Camp Lab, and 'Creative Encounters' editor for Migration and Society journal. His research centers on Refugee Literature with focus on Arabic-English translation, temporal conceptualizations, and camp studies. Key interests include: Prismatic translation methodologies Refugee camp as archival space Time and containment in displacement narratives Arabic poetic traditions in exile Visual documentation of refugee experiences His recent publications show strong thematic convergence around photographic documentation of refugee camps, temporal fragmentation in displacement, and multilingual approaches to camp narratives. The 2021-2024 works demonstrate increasing interdisciplinary integration of poetry, photography, and academic analysis. Major recognitions include: Highly Commended by the 2021 Forward Prizes Poetry Book Society's Spring 2021 Recommendation Daily Telegraph's 'Best Poetry Books of 2021' selection As Writer-in-Residence for the Refugee Hosts project (AHRC-ESRC funded), he leads creative writing workshops with refugee communities. His Imagining Futures Baddawi Camp Lab (AHRC-GCRF funded) develops collaborative refugee-centered research methodologies. Current grants include the OWRI-funded Creative Multilingualism project where he serves as Arabic language researcher. He co-leads the Imagining Futures Baddawi Camp Lab in Lebanon's Palestinian refugee camp, developing photo-poetic methodologies with camp residents. His work with Refugee Hosts creates platforms for refugee storytelling through 'Creative Encounters' in Migration and Society journal.

Tobias Kuhnمشاهده پروفایل

استادیار

• Linked Data
• FAIR Principles
• Semantic Publishing
• +۵ مورد دیگر

Dr. Tobias Kuhn is an Assistant Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Network Institute and Intelligent Information Systems department. His work focuses on semantic web technologies, FAIR principles, nanopublications, and data interoperability. He contributes to projects like Open Data Infrastructure for Social Science and ODISSEI, addressing challenges in data management and knowledge graph construction. Research Interests: Tobias Kuhn advances semantic publishing frameworks, nanopublication standards, and FAIR implementation profiles for enhancing data reuse and interoperability across scientific disciplines. His work bridges formal ontologies with practical applications in biodiversity, healthcare, and social sciences. Collaborations: Active in international initiatives like the FAIR Funder Pilot Programme and the Biodiversity Supergraph project, collaborating with institutions globally. His research emphasizes provenance tracking, decentralized knowledge management, and semantic annotation techniques. Key Contributions: Developed the DataSet-Variable Ontology for restricted access data integration, pioneered nanopublication-based peer review systems, and contributed to FAIR convergence frameworks. His work is published in leading venues like ISWC and Semantic Web Challenge proceedings.

• Linguistic Contact
• Rapid Language Change
• Sociology of Language
• +۵ مورد دیگر

Robert McColl Millar is a Professor of Linguistics and Scottish Language at the University of Aberdeen's School of Language, Literature, Music and Visual Culture. His research focuses on the interface between Gaelic and Scots, lexical attrition, rapid language change, language policy, standardization processes, and the sociology of language. PhD in English Historical Linguistics (University of London, 1991) MA in English Language and Literature (University of Glasgow, 1987) He has authored influential books including System Collapse, System Rebirth (2000), Contact: The Interaction of Closely Related Linguistic Varieties (2016), and A History of the Scots Language (2023). His editorial roles include Scottish Language , and he co-edits the Edinburgh Studies in the Language of Scotland series. His recent publications, such as Linguistic Contact and Language Change (2024) and Trask's Historical Linguistics (2023), explore phonological shifts, creole genesis, and comparative methods. Supervising over 25 doctoral theses, his work spans language teaching, contact, and 18th-century Scottish linguistic practices.

Alessio Baldiniمشاهده پروفایل

مدرس

• Modern Italian Literature and Culture
• Literary and Cultural Theory
• Comparative Literature
• +۴ مورد دیگر

Dr Alessio Baldini serves as Lecturer in Italian Culture at the School of Languages, Cultures and Societies, University of Leeds, appointed to this role in 2016 following his initial Lecturer in Italian position since 2012. His academic career centers on transnational storytelling across literature, film, television, and digital media, examining how narrative forms shape moral and political responses in global contexts. His educational background includes: BA in Italian Literature, University of Siena (2003) MA in Italian Literature and Literary Theory, University of Siena (2008) PhD in Italian Literature and Literary Theory, University of Siena (2009) Dr Baldini's research integrates modern Italian cultural studies with comparative literature and digital humanities, specializing in cross-media storytelling convergence. His work investigates how family sagas and cinematic narratives reimagine national identities, with particular focus on migration discourses and social imaginaries through projects like the 2019 'Challenging National and Social Imaginaries through Cinematic Art' initiative. His scholarly recognition includes: Postdoctoral fellowship at the University for Foreigners of Siena Shortlisting for the 11th Casa Museo 'Marino Moretti' Biennial prize As Director of Student Education, he supervises postgraduate researchers including Kate Li and teaches diverse modules spanning modern Italian history, 'Made in Italy' cultural phenomena, and ethics in literature. His leadership extends to organizing the 2017 BCLA-sponsored international conference on family sagas and securing interdisciplinary research grants examining media's societal impact. Dr Baldini actively contributes to Leeds' research ecosystem through affiliations with the Italian Cultural Studies group, Centre for World Literatures, LivItaly initiative, and Centre for World Cinemas and Digital Cultures, fostering collaborations across literary, cinematic, and digital humanities domains.

Paul M. Noorlanderمشاهده پروفایل

پژوهشگر

• Linguistics
• Areal Linguistics
• Historical Linguistics
• +۲۳ مورد دیگر

Dr. Paul M. Noorlander is a Researcher in Hebrew & Aramaic Studies at the University of Cambridge , affiliated with the Faculty of Asian and Middle Eastern Studies and a Fellow of St Edmund's College . He specializes in endangered Neo-Aramaic languages, focusing on their documentation, typology, and historical-sociocultural context. His research spans Areal Linguistics , Historical Syntax , and Language Contact , particularly in regions where Semitic and Iranian languages intersect. He leads projects like the North Eastern Neo-Aramaic Database and the ERC-funded Echoes of Vanishing Voices initiative, which reconstructs the linguistic history of Aramaic-speaking communities in contact with Iranian. He teaches courses including Comparative Semitic Linguistics , Biblical Hebrew , and Linguistic Typology , emphasizing interdisciplinary approaches. His publications explore word order typology, ergativity, and corpus-based analyses of Neo-Aramaic dialects, with recent works focusing on VO/OV alternations and contact-induced syntactic shifts.

Rakan Aldmourمشاهده پروفایل

مدرس ارشد

• Mobile Cloud Computing
• Internet of Things (IoT)
• Risk Assessment
• +۳ مورد دیگر

Rakan Aldmour is a Senior Lecturer at Staffordshire University's School of Digital, Technologies and Arts and Course Leader for MSc Business Computing. He teaches courses such as Enterprise Systems, Managing Emerging Technologies, and Research Methods, while supervising PhD and MSc students. His research focuses on Mobile Cloud Computing, IoT systems, Risk Assessment, Digital Transformation, and Blockchain, with notable contributions to cybersecurity frameworks for IoT-SCADA systems and smart city initiatives through his internship at the UAE Telecommunication Regulatory Authority. Rakan holds a PhD in Mobile Cloud Computing from Anglia Ruskin University, an MSc in Management Information Systems, and a BSc in Software Engineering, complemented by certifications including MCSE, TOGAF, and CCNA. His professional expertise spans Software Engineering, Business Models, IT Management, and Cloud Computing. He has secured £400,000 in grants through Staffordshire Digital Innovation Partnerships (SDIPs) and contributed to projects like the PETRAS National Centre for IoT Cybersecurity. His work emphasizes practical applications of technology in education, healthcare, and urban development, with publications addressing energy-efficient mobile cloud models, intrusion detection systems, and blockchain-based solutions for transparency and integrity.

Dipankar Dasguptaمشاهده پروفایل

استاد

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +۶ مورد دیگر

Dipankar Dasgupta is the William Hill Professor in Cybersecurity and Director of the Center for Information Assurance at the University of Memphis. He holds a PhD in Computer Science from the University of Strathclyde (1994) and has been a faculty member since 1997, advancing to Full Professor in 2004. His research focuses on cybersecurity, artificial intelligence, and bio-inspired computing, particularly in artificial immune systems and evolutionary computation. He has authored/co-authored over 300 publications, including influential books like *Immunological Computation* and *Advances in User Authentication*. Dr. Dasgupta is an IEEE Fellow, ACM Distinguished Speaker, and recipient of the 2014 ACM SIGEVO Impact Award and 2011-2012 Willard R. Sparks Eminent Faculty Award. He leads the Center for Information Assurance, a nationally recognized academic excellence hub in cybersecurity education and research. His work includes pioneering contributions to negative authentication systems, cybersecurity frameworks, and AI-driven threat detection. His research spans adversarial machine learning, federated learning security, and generative AI. He has collaborated widely, with an h-index of over 58 and collaborations with 106 co-authors. He also contributes to educational initiatives, such as cybersecurity summer camps for high school students, and chairs like the MIT Geospatial Data Center Advisory Board.