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Gazi AngelikiView profile

Associate Professor

• Media Psychology
• Identity Studies
• Emotional Communication
• +5 more

Angeliki Gazi is an Associate Professor at Panteion University of Social and Political Sciences (Athens) and Visiting Professor at the University of Athens. She specializes in Media Psychology and Technology, focusing on identity, emotions, and mediated communication through digital platforms. Her academic journey includes roles at Cyprus University of Technology (2009–2018) and teaching at the National and Kapodistrian University of Athens. She holds a PhD from the latter in Media Psychology (identity and radio studies), an MA in Communication, and a Psychology degree from the University of Ioannina. Her clinical training in group analysis was completed at CIRFIP and the National and Kapodistrian University of Athens. Research interests span hybrid media environments, social media, mobile technology impacts, and mediated identities. She is a founding member of the Media Psychology and Technology Division at the Hellenic Psychological Association and contributed to the Scientific Board of the Social Computing Research Center (Cyprus). Her work involves EU/National research projects, publications in international journals, and three authored books. Key research trends in her articles include digital mediation of cultural trauma, participatory web radio, audiovisual resistance in Greece, and sensory urban studies. She explores how technology reshapes human interaction, identity, and emotional expression across media platforms. Her contributions address both theoretical frameworks and practical applications in hybrid environments, emphasizing interdisciplinary approaches. Professional service includes editorial roles at Journal of Radio and Audio Media and Radio Journal , and leadership roles in international academic associations like ECREA. Her teaching focuses on research methods and mediated communication practices.

Katherine TwomeyView profile

Lecturer

• Language Development
• Cognitive Development
• Infant and Toddler Learning
• +3 more

Katherine Twomey is a Lecturer in Language & Communicative Development at the University of Manchester's Division of Psychology, Communication and Human Neuroscience. She holds a PhD from the University of Sussex (2013) focusing on early word learning processes. Her research uses computational and empirical methods to study how infants and toddlers learn language, particularly the influence of environmental stimuli and curiosity-driven exploration. She is affiliated with the Autism@Manchester initiative and the Centre for Robotics and Artificial Intelligence (RAI), contributing to interdisciplinary projects. Key research areas include curiosity mechanisms in early learning, the role of perceived emotions in word acquisition, and telehealth interventions for aphasia. She has received awards such as the Future Research Leaders Fellowship (2016) and has published over 50 peer-reviewed works. Twomey’s work addresses UN Sustainable Development Goal 4 (Quality Education) and 3 (Good Health and Well-being), with projects like the TALES program targeting post-stroke literacy recovery. She actively collaborates with NHS trusts and participates in autism-focused summits, demonstrating commitment to translational research and societal impact. Her research methodologies span experimental psychology, neurocomputational modeling, and longitudinal studies, with datasets archived at the UK Data Service. Twomey is also engaged in public outreach, contributing to media discussions on child language development and autism advocacy.

Kirsten WinterView profile

Professor

• Formal Verification
• Concurrent Programming
• Computer Security
• +3 more

Dr. Kirsten Winter is an Honorary Senior Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on formal verification, concurrent programming, and weak memory models. She has contributed significantly to areas such as model checking, railway interlocking systems, and behavior trees. Her work spans theoretical foundations (e.g., linearizability, concurrency semantics) and practical applications in security and embedded systems. Recent projects include the Program Analysis Cell and BASIL: Boogie Analysis for Secure Information-Flow Logics. Winter has collaborated extensively with researchers like Graeme Smith and Robert Colvin. Her most recent publications address speculative execution vulnerabilities and compositional reasoning in weak memory architectures.

Jared M HotalingView profile

Assistant Professor

• Decision Making
• Cognitive Modeling
• Dynamic Decision Making
• +5 more

Jared M Hotaling is an Assistant Professor in the Department of Psychology at the University of Illinois Urbana-Champaign. His research investigates complex human decision-making processes through cognitive psychology frameworks, focusing on scenarios involving information search, experiential learning, and future planning. He bridges psychology with economics, marketing, AI, and public policy using behavioral experiments and computational modeling. Education: Ph.D. from Indiana University Research Focus: Hotaling examines decision mechanisms through psychological constructs like attention, perception, and memory. His fingerprint analysis reveals core expertise in Decision Field Theory (100%), Decisions from Experience (86%), and Dynamic Decision Making (86%). Current work emphasizes cognitive modeling of sequential choices and risk assessment in reactive environments, with applications spanning behavioral economics and human-computer interaction. Publication Trends: Recent articles (2020-2022) demonstrate increasing integration of computational modeling with empirical decision research. Key themes include attentional modulation in risky choices, memory-based decision frameworks (e.g., MEM-EX model), and extensions of decision field theory to multistage planning. His work shows growing interdisciplinary impact, particularly in cognitive psychology and economic decision theory. Awards: Psychonomic Society Fellow (2024) Bruno de Finetti Prize, European Association for Decision Making (2015) Academic Contributions: Hotaling teaches graduate courses in Computational Cognitive Modeling, Decisions & Judgments, and Learning & Decision Making. His research group conducts behavioral experiments and develops mathematical models of decision processes, though specific grant details aren't provided in the source material. The high citation counts (e.g., 20 citations for PNAS attention study) indicate significant scholarly influence in decision science.

Marieke MeelenView profile

Associate Professor

• Historical Linguistics
• Comparative Syntax
• Information Structure
• +5 more

Dr Marieke Meelen is an Associate Professor in Historical Linguistics at the University of Cambridge, affiliated with the Faculty of Modern and Medieval Languages and Linguistics. She serves as a Fellow, Tutor, and Director of Studies at Trinity Hall. Research Interests: Historical Linguistics, Comparative Syntax, Information Structure, Grammaticalisation & Pragmaticalisation, NLP for low-resource languages, Celtic & Tibeto-Burman languages Projects: PI for ELDP-funded endangered language documentation in Nepal; collaborator on ERC-funded 'PaganTibet' and AHRC-funded 'Emergence of Egophoricity' Key Contributions: Development of ASR and HTR models for Tibeto-Burman languages; historical treebank of Welsh; computational approaches to Celtic and Tibeto-Burman syntax Publications & Grants focus on syntactic reconstruction, corpus creation, and NLP for endangered languages. She mentors PhD students working on Celtic or Tibeto-Burman languages and consults for computational linguistics projects.

JIANG LingxiaoView profile

Professor

• Software Engineering
• Artificial Intelligence
• Data Science
• +7 more

Professor Lingxiao Jiang is a full-time faculty member at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU) , where he serves as Director of the Centre for Research on Intelligent Software Engineering (RISE) . His research and teaching focus on software engineering , program analysis , code search & reuse , and deep learning of code to enhance software quality, development productivity, and security. PhD, University of California, Davis (2009) Professor Jiang's research explores context-aware software deep learning , code clone detection , and security & privacy through tools like DECKARD (code clone detection), EqMiner (functionally equivalent code), and SmartEmbed (smart contract security). His work leverages distributed computing , symbolic execution , and neural program models for large-scale code analysis. Recent publications highlight trends in deep learning-based code analysis , smart contract vulnerabilities , and automated program transformation . Key themes include code clone detection , semantic patches , and cross-language API mappings . Scientific Awards ACM SIGSOFT Impact Paper Award (2018) for scalable code clone detection As advisor, Professor Jiang has mentored 14 graduate students, including Lucia (Ph.D. 2014) , Shaowei Wang (Ph.D. 2015) , and current advisees in intelligent software engineering. He leads multiple grants on code mining , security of digital platforms , and AI systems governance . RISE Lab at SMU develops tools like MANDO (smart contract analysis), iTiger (issue title generation), and TreeCaps (code processing with capsule networks). The lab actively recruits researchers in software engineering and AI.

Kelsey CanadaView profile

Assistant Professor

• Developmental Cognitive Neuroscience
• Memory Development
• Hippocampal Development
• +7 more

Kelsey Canada is an incoming Assistant Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst, starting Fall 2025. She is based in Tobin Hall and will lead a research program focused on developmental cognitive neuroscience. Her research centers on understanding how memory and brain development, particularly in the hippocampus, evolve during childhood and adolescence. She examines how socioeconomic factors influence neurodevelopment, using interdisciplinary methods including MRI , EEG , behavioral testing , and structural equation modeling . Her work emphasizes representative sampling and data integration to uncover modifiable risk and protective factors. Dr. Canada's recent publications highlight her leadership in hippocampal subfield research, quality control in neuroimaging, and collaborative data practices. Her work spans developmental trajectories, methodological innovation, and social determinants of brain health. She earned her PhD from the University of Maryland, College Park, and is establishing her lab at UMass Amherst. Prospective students are encouraged to contact her directly. Research Areas: Developmental Science, Neuroimaging, Cognitive Development Affiliation: Department of Psychological and Brain Sciences, UMass Amherst Dr. Canada has been involved in major collaborative initiatives, including the Hippocampal Subfields Group, and her research is supported by recent publications in top journals such as Human Brain Mapping , Hippocampus , and Developmental Cognitive Neuroscience . While no formal grants or advising roles are listed yet, her active publication record and lab formation indicate a growing research program.

Stefan TreueView profile

Professor

• Cognitive Neuroscience
• Visual Perception
• Attention
• +7 more

Stefan Treue is a Professor and Director at the German Primate Center (DPZ) in Göttingen, Germany, where he heads the Cognitive Neuroscience Laboratory. He is affiliated with the Department of Cognitive Neurosciences and contributes to the Göttingen Graduate School for Neurosciences (GGNB) in programs including Neurosciences (IMPRS), Sensory and Motor Neuroscience, Systems Neuroscience, and Theoretical and Computational Neuroscience. His research focuses on the neural basis of visual perception, particularly how attention modulates sensory processing in the primate brain. Using electrophysiological recordings in macaque monkeys, human psychophysics, and functional brain imaging, his lab investigates attentional mechanisms in cortical area MT, especially in motion processing and perceptual accuracy. Key themes include attentional gain, receptive field dynamics, saccade-locked attention shifts, and multifocal attention. The recent publications reflect a consistent focus on attentional modulation in visual cortex, with a strong emphasis on neurophysiological and behavioral evidence from non-human primates. His work bridges cognitive theory and neural mechanisms, contributing significantly to systems and computational neuroscience. Scientific Awards: None explicitly mentioned in the text. Advising and Grants: Prof. Treue mentors students through the GGNB and IMPRS programs, indicating active graduate student supervision. While specific grants are not listed, his long-standing research program and high-impact publications suggest sustained funding from major research agencies. Labs and Teams: He leads the Cognitive Neuroscience Laboratory at DPZ, a multidisciplinary team employing electrophysiology, psychophysics, and theoretical modeling to study attention and perception in primates.

• Computer Architecture
• Emerging Non-Volatile Memory Management
• Energy and Performance optimizations in Network-on-Chip
• +4 more

Dr. Sukarn Agarwal is an Assistant Professor in the EECS Department at IISER Bhopal. His primary research focuses on modern computer architecture, including emerging non-volatile memory management, energy-efficient optimizations in network-on-chip, thermal-aware chip management, and heterogeneous system design. He utilizes tools such as GEM-5, CACTI, NVSIM, and McPAT for research. Dr. Agarwal actively seeks motivated PhD, M.Tech, and long-term internship candidates aligned with his research areas. Research Interests : Non-volatile memory hierarchies, energy-performance trade-offs, thermal-aware computing, and hybrid memory systems. Key Tools : GEM-5, CACTI, NVSIM, McPAT, Hotspot. His recent work includes publications on approximate computing in MLC-MRAM-based systems, thermal-aware frameworks for ReRAM, and energy-efficient cache architectures using STT-RAM. He emphasizes interdisciplinary approaches to address challenges in modern computing systems.

Kaiyi JiView profile

Assistant Professor

• Large-scale optimization
• Machine learning
• Multi-task learning
• +6 more

Kaiyi Ji is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. He earned his PhD in Electrical and Computer Engineering from Ohio State University in 2021 and completed a postdoctoral fellowship at the University of Michigan. His research focuses on large-scale optimization, machine learning, and foundation models. PhD: Electrical and Computer Engineering, Ohio State University (2021) Postdoc: University of Michigan (2022) BSc: University of Science and Technology of China (2016) Research interests include bilevel optimization, multi-task learning, continual learning, and AI4Science, with applications in robotics and crystal property prediction. Recent work explores efficient algorithms for LLM training and optimization. His publications span top venues like ICLR, ICML, NeurIPS, and IEEE Transactions on Information Theory. He received the CSE Junior Faculty Research Award (2023) and NSF CAREER Award (2025). He advises PhD students and actively participates in departmental service as Associate Chair for Graduate Student Admissions and organizer of academic workshops.

• Database Systems
• Stream Processing
• Distributed Data Management
• +5 more

Volker Markl is a Professor at Technische Universität Berlin in the Institute of Software Engineering and Theoretical Computer Science, with additional affiliations at the Berlin Institute for the Foundations of Learning and Data (BIFOLD) and the German Research Center for Artificial Intelligence (DFKI). His research spans database systems, stream processing, and distributed data management with significant contributions to both theoretical foundations and practical implementations. Markl's research interests focus on next-generation data management systems, particularly for streaming and IoT environments. His work addresses critical challenges in distributed query processing, system integration, and performance optimization. He has pioneered approaches for stream processing in volatile infrastructures and developed innovative techniques for GPU-accelerated database operations. His NebulaStream project represents a major contribution to distributed stream processing systems. His publication record demonstrates consistent impact across top database venues including VLDB, SIGMOD, and ICDE. Recent work shows increasing focus on machine learning integration with database systems, privacy-preserving query processing, and educational approaches for teaching large-scale data management. Markl has mentored numerous researchers who have become prominent in the database community, with frequent collaborators including Steffen Zeuch, Tilmann Rabl, and Philipp Grulich. His leadership extends to major research initiatives and collaborations across European institutions.

• Political Communication
• Nonverbal Communication
• Emotion in Politics
• +4 more

Patrick A Stewart serves as Professor and Director of Online Education in the Department of Political Science at the University of Arkansas, Fayetteville, within the College of Arts and Sciences. His research bridges political science, psychology, and technology, focusing on nonverbal communication dynamics in high-stakes political contexts. His educational trajectory includes an A.A. from St. Petersburg J.C. (1987), B.A. (1988) and M.A. (1991) from the University of Central Florida, and a Ph.D. from Northern Illinois University (1998). Stewart specializes in decoding emotional responses to political leaders' nonverbal behavior using Facial Action Coding System (FACS) methodology. His work examines micro-expressions, laughter, and audience reactions during debates, presidential addresses, and elections, with growing emphasis on AI biometrics ethics. This research has been published in PLoS ONE , Political Psychology , and Computers in Human Behavior , and featured in The New York Times , The Washington Post , and Vox . He co-created the educational game "Citizenship Quest" to explore trust-building in political simulations. Analysis of his recent publications reveals consistent focus on presidential communication effectiveness, particularly laughter and micro-expressions as leadership indicators. His work spans historical analyses (Reagan's "great communicator" persona) and contemporary events (Trump-era debates, Brexit), utilizing interdisciplinary methods combining ethology, biometrics, and game-based learning. No scientific awards were documented in the provided materials. Stewart directs online education initiatives while maintaining an active research agenda; no student advising details or grant information were specified in the source texts. His "Citizenship Quest" project represents applied efforts to translate political psychology research into educational tools.

Martin AumüllerView profile

Lecturer

• Algorithms
• Algorithm engineering
• Algorithmic privacy
• +6 more

Martin Aumüller is a Lecturer in Theoretical Computer Science Algorithms at the IT University of Copenhagen . He serves as Head of Education and Master of Software Design , focusing on algorithm engineering, differential privacy, and similarity search. Research interests include: Algorithm engineering for high-dimensional data Locality-sensitive hashing and nearest neighbor search Privacy-preserving machine learning Fairness in approximate search algorithms Benchmarking and evaluation of similarity search tools Publications trends highlight his work on approximate nearest neighbor search , privacy-preserving techniques , clustering algorithms , and scalable outlier detection in high-dimensional spaces. His recent projects (2024-2025) focus on fairness, differential privacy, and efficient indexing. Grants and projects : DIREC (2020-2025): Digital Research Centre Denmark (Innovation Fund Denmark) DIREC: Bias and Benefit of Approximate Nearest Neighbor Search (2022-2025): Principal Investigator (Innovation Fund Denmark) BARC (2017-2024): Basic Algorithms Research Copenhagen (Villum Fonden) SSS (2014-2019): Scalable Similarity Search (European Commission)

R.K. ShyamasundarView profile

Professor

• Real-Time Programming
• Reactive Programming
• Logic Programming
• +7 more

R.K. Shyamasundar is a Professor at the Indian Institute of Technology Bombay , with a focus on Real-Time and Reactive Programming, Logic Programming, Pi-Calculus, and Parallel Programs. Research spans formal verification, concurrency, and distributed systems. Key contributions include RT-CDL semantics, Esterel language extensions, and hybrid system controller synthesis. Scientific awards include JC Bose National Fellow, Fellowships at Indian Academy of Sciences and Indian National Science Academy, and Senior Membership in IEEE. His work involves collaborations with institutions like TCS Group and researchers such as Basant Rajan, N. Raja, and Deepak Kapur.

• Communication Theory
• Channel Coding
• Low-Density Parity-Check (LDPC) Codes
• +3 more

Richard D. Wesel is an Associate Dean for Academic and Student Affairs at a College of Engineering, where he has held leadership roles such as Vice-Chair of the Electrical Engineering Department. With Ph.D. and M.S. degrees in Electrical Engineering from Stanford University and MIT respectively, his research focuses on communication theory and channel coding, particularly low-density parity-check (LDPC) codes and turbo codes for efficient data transmission over noisy channels. Education: MIT (B.S., M.S.), Stanford (Ph.D.) Leadership: Associate Dean, Former Vice-Chair of Electrical Engineering Wesel's research explores advanced techniques for broadcast and multiple-access communication systems, emphasizing applications in wireless LANs, satellite communications, and optical networks. His work integrates machine learning with traditional decoding algorithms, as seen in recent publications on neural-network-optimized LDPC decoding and parallel trellis-stage-combining methods for high-throughput systems. His articles demonstrate a focus on finite-blocklength coding, including CRC-aided list decoding for convolutional and polar codes, and voltage optimization strategies for flash memory reliability. Wesel has authored over 100 publications and led a research group that won the 2006 Design Automation Conference's top award for optical multiple access design. Scientific Awards: National Science Foundation CAREER Award Okawa Foundation Award As an educator, Wesel received the TRW Excellence in Teaching Award in 2000 and has contributed to academic governance through roles on the Faculty Executive Committee and Undergraduate Council. His work bridges theoretical communication systems with practical implementations, including FPGA-based decoders and adaptive coding for fading channels.