Find Academic Supervisors

• Machine Learning
• Social Media Analysis
• Public Health
• +3 more

Lydia Manikonda is an Assistant Professor in the Department of Information Systems and Web Science at the Lally School of Management, Rensselaer Polytechnic Institute (RPI). She is also affiliated with the AIRC (Artificial Intelligence Research Center) at RPI. Her research focuses on developing intelligent decision-making models using data from social media, online forums, and news articles to address challenges in business, public health, and technology. Her work has been recognized with awards, including the Best Reviewer Award at ICWSM 2016 and the Outstanding Demonstration Award at ICAPS 2014. Dr. Manikonda holds a PhD in Computer Science from Arizona State University (2019). Her research interests span interpretable machine learning, privacy in AI systems, social media analytics, and the societal impacts of technology. She has published extensively on topics like misinformation detection, ethical AI design, and pandemic-related behavioral shifts. Education: PhD in Computer Science, Arizona State University (2019) Her recent work emphasizes interdisciplinary approaches to tackle real-world problems, such as predicting intimate partner violence using machine learning and analyzing anti-Asian hate discourse on Reddit during the pandemic. She collaborates with interdisciplinary teams to bridge gaps between technical innovation and societal needs. Key Awards: Best Reviewer Award at ICWSM 2016 Outstanding Demonstration Award at ICAPS 2014 Dr. Manikonda's research also explores anthropomorphism in voice assistants, temporal privacy concerns, and the role of emotional cues in medical crowdfunding platforms. She actively participates in academic leadership roles, such as organizing the Web Science 2024 conference. Her lab focuses on actionable domain models and data-driven decision-making, with applications in healthcare, technology ethics, and public policy. She mentors students in these areas and is committed to advancing AI for societal good.

• Developmental Psychology
• Social Cognition
• Cognitive Psychology
• +3 more

Ildikó Király is a Professor at the Institute of Psychology, Eötvös Loránd University, Budapest, currently serving as Head of the Department of Cognitive Psychology and lecturer. Her research focuses on developmental psychology, particularly social cognition, imitation behavior, and theory of mind in early childhood. Key areas: Social Cognition , Developmental Neuroscience , and Cognitive Development Recent work examines preschoolers' exploration tendencies, joint action observation effects, and linguistic group membership's role in perspective taking. She leads the Social Minds Research Group , investigating how cultural knowledge transmission shapes cognitive development. Her 2021-2025 publications reveal trends in: Imitative behavior's sensitivity to social norms and group identity Memory flexibility in adapting to changing contexts Interactions between semantic processing and mentalization in social situations Comparative studies on human and non-human primate cognition

• Social Cognition
• Attention Mechanisms
• Action Observation
• +5 more

Professor Andrew Bayliss is a Professor in Psychology at the University of East Anglia's School of Psychology, where he serves as Social Cognition Research Group Lead and UEA UOA4 Psychology REF coordinator. He joined UEA in 2011 after completing his PhD at Bangor University and holding postdoctoral fellowships with the ESRC, Leverhulme Trust, and University of Queensland. Undergraduate Degree: Bangor University PhD: Bangor University Postdoctoral Fellowships: ESRC, Leverhulme Trust, University of Queensland His research spans social cognition, attention-action interactions, and individual differences, with specific focus on face perception, eye gaze processing, and objects in social contexts. Utilizing methodologies including eye tracking, motion capture, EEG, and fMRI, his work examines how social cues guide attention and influence behavior. Current projects investigate gaze understanding development, interpersonal agency, and autism interventions using natural scenes. Analysis of his recent publications reveals a strong emphasis on social attention mechanisms, particularly gaze leading phenomena, interpersonal distance effects, and neural correlates of shared attention. His work increasingly integrates autism research with social cognition paradigms while maintaining core investigations into attentional orienting and agency perception. Bayliss actively contributes to the academic community through editorial roles at Psychological Review and Psychonomic Bulletin and Review, peer review activities, and consultancy work including the Social Neuroscience of Cinema Attendance project. He maintains international collaborations, notably with Paris Nanterre University. As Social Cognition Research Group Lead, he oversees a dynamic team investigating the neural and cognitive mechanisms underlying social interactions. His lab employs multimodal approaches to study real-time social processing, with recent work expanding into human-robot interaction and pandemic-related social adaptations.

• New Product Development
• Knowledge Management
• Collaborative Work Environments
• +5 more

Angelo Corallo is an Associate Professor at the Department of Experimental Medicine, University of Salento, specializing in technologies and methodologies for collaborative processes in industrial systems. His research spans Digital Business Ecosystems , Cybersecurity , and Collaborative Product Design , focusing on the interplay between technology and organizational dynamics. He leads interdisciplinary research divisions in Open Networked Business Management , Learning and Innovation , and Collaborative Product Design . Research Interests : Corallo's work integrates Information and Communication Technologies (ICT) with Business Management, particularly in Digital Twins for healthcare and manufacturing Knowledge Modeling and Ontology Engineering Industry 4.0 and Smart Manufacturing Agri-Food Sustainability through digitalization Scientific Contributions : His recent articles explore trends in Cybersecurity for Industrial IoT Metaverse Applications in business models Traceability Systems in food supply chains Collagen-Based Biomaterials from aquaponics

Lisa MiracchiView profile

Assistant Professor

• Philosophy of Mind
• AI Ethics
• Robotics Ethics
• +4 more

Lisa Miracchi Titus is an Assistant Professor of Philosophy at the University of Denver, previously serving as an Associate Professor with tenure at the University of Pennsylvania. She is an IEEE Tech Ethics Ambassador and member of the IEEE SA Working Group on the Ethics of LAWS. Her research focuses on the nature of intelligence, AI ethics, and the integration of ethical considerations into AI development. She holds a Ph.D. in Philosophy (with a Cognitive Science certificate) from Rutgers University and an AB in Philosophy from Harvard. Her work bridges philosophy, cognitive science, robotics, and ethics, addressing questions about intelligent systems, agency, and ethical AI applications. She received an NEH grant for her book project on effective and ethical intelligence research, emphasizing feminist and social justice perspectives. Education: Ph.D. in Philosophy (Rutgers, 2014), A.B. in Philosophy (Harvard, 2009). Previous positions include Bersoff Assistant Professor at NYU and tenure-track roles at Penn. She is committed to academic diversity, having led wellness initiatives for graduate students and participated in LGBTQ+ advocacy. Her research also explores the ethical implications of AI’s feminization and the future of human-AI collaboration. Research Interests: Philosophy of AI, ethics of robotics, embodied cognition, and feminist approaches to technology. She advocates for interdisciplinary collaboration to ensure AI systems align with ethical, social, and cognitive science principles. Her current projects include the integration of ethical frameworks into AI design and the societal impacts of AI labor. Awards and Fellowships: National Endowment for the Humanities Grant (2022), NEH Fellowship (2021). Her work appears in journals like Journal of Philosophy , Philosophical Studies , and Frontiers in Neurorobotics . Labs and Collaborations: Affiliated with the GRASP Lab (Robotics) and MindCORE (Cognitive Science) at Penn, and now contributes to Denver’s interdisciplinary initiatives. She balances academic rigor with personal advocacy for mental health, wellness programs, and LGBTQ+ inclusion in academia.

• Social Psychology
• Intergroup Relations
• Prejudice Reduction
• +7 more

Francesca Prati is an Associate Professor in the Department of Psychology 'Renzo Canestrari' at the University of Bologna. Her academic discipline is Social Psychology (PSIC-03/A). She holds a PhD in Social Psychology from the University of Bologna (2012) and conducted research at Kent University (UK) and the University of Connecticut (USA). She was a Marie Skłodowska-Curie Fellow at the University of Oxford (2018-2020), studying intergroup contact and collective action perspectives of ethnic minorities. Since 2020, she has been an Associate Professor at the University of Bologna. Her research focuses on reducing intergroup prejudice through socio-cognitive strategies, including multiple categorization, intergroup contact, and language analysis. Key themes include dehumanization mitigation, morality in intergroup relations, and the role of political orientation in prejudice reduction. She has explored applications in healthcare equity, migrant integration, and environmental education through citizen science projects. Her work spans experimental psychology, policy analysis, and cross-cultural studies. Notable contributions include demonstrating the long-term effects of citizen science on environmental awareness and the role of linguistic abstraction in intergroup sensitivity. She has also examined gender bias in performance evaluations and structural healthcare system impacts on worker satisfaction. Scientific Awards: Marie Skłodowska-Curie Fellowship (2018-2020). Advising & Grants: Supervised research on intergroup dynamics and received fellowship funding for Oxford-based studies. Labs/Teams: Collaborates on projects involving intergroup contact, morality, and citizen science initiatives.

Aurelien BaillonView profile

Professor

• Behavioral Economics
• Decision Making Under Risk and Ambiguity
• Subjective Probability Elicitation
• +12 more

Dr. Aurelien Baillon is a Professor of Economics of Uncertainty at the Erasmus School of Economics , Erasmus University Rotterdam, specializing in the Department of Applied Economics . His research focuses on individual decision-making under risk and ambiguity, combining empirical and theoretical approaches to understand probability elicitation and expert opinion aggregation. Key research areas: Behavioral Economics, Risk Attitudes, Bayesian Modeling Major projects: Bayesian Markets , Personal Model of Trumpery , Malakoff Humanis Chair His recent publications explore ambiguity theories , cybersecurity decision-making , and linguistic deception detection . Notable grants include the ERC Starting Grant (2016) and NWO Vidi Grant (2014). Collaborations span institutions like BRiO , HITS Institute , and GATE . The Datavisualization project with Alice Havrileck demonstrates his interdisciplinary approach to uncertainty analysis.

Matthew BrehmerView profile

Assistant Professor

• Human-Computer Interaction (HCI)
• Data Visualization
• Ubiquitous Information Experiences
• +5 more

Matthew Brehmer is an Assistant Professor at the University of Waterloo, specializing in Human-Computer Interaction (HCI) and data visualization. His research focuses on ubiquitous information experiences, exploring innovative ways to communicate and collaborate around data through multimodal interfaces and interactive visualizations. He holds a PhD from the University of British Columbia (2016), an MSc (2011), and a BComp from Queen's University (2009). His research interests emphasize multimodal communication , data storytelling , and collaboration platforms . Notable themes include gesture-aware augmented reality video presentations, semantic alignment of text and visual data, and adaptive visualization systems for enterprise environments. He leads efforts in designing tools like RemixTape and VisConductor to enhance data-driven narratives and remote collaboration. Recent work trends highlight advancements in dynamic data presentation , context-aware visualization , and cross-platform integration . His projects address challenges in making data accessible and interactive across diverse user contexts, from mobile devices to enterprise systems. Matthew’s contributions span over 50 peer-reviewed articles, with a focus on IEEE VIS workshops and ACM venues. He actively engages with industry through collaborations on tools like QualDash for healthcare and Charticulator for bespoke chart design.

Jan BeekView profile

Professor

• Police Studies
• Anthropology
• Bureaucracy Studies
• +3 more

Dr. Jan Beek is a Professor at Bielefeld University's Faculty of Sociology, specializing in the ethnographic study of policing dynamics, bureaucratic structures, and transnational fraud mechanisms. His research explores how individuals and institutions categorize identities during acts of control in public spaces, with a focus on Africa, India, Germany, and multicultural contexts. He leads the 'Policing as a Practice of Categorization' project, employing methodologically pluralistic approaches to analyze police work in diverse settings. Notable contributions include defining new research fields like the anthropology of fraud and policing in multicultural societies. His work critically examines statehood production through everyday police interactions, as detailed in his book Stateness: Police work in Ghana . His research appears in journals like Africa , Journal of Modern African Studies , and Social Anthropology . Awards include the Franz Xaver Kaufmann Prize and the Thomas A. Herz Prize for qualitative research. Beek's fieldwork spans Ghana, Kenya, India, and Germany, emphasizing global comparative perspectives in policing and bureaucratic practices.

Marc ToussaintView profile

Professor

• Robotics
• Artificial Intelligence
• Machine Learning
• +3 more

Marc Toussaint is Full Professor leading the Learning & Intelligent Systems Lab at TU Berlin's EECS Faculty. His research integrates machine learning, optimization, and AI reasoning to solve fundamental robotics problems like physical reasoning and human-robot interaction. He holds a physics diploma from University of Cologne and PhD from Ruhr-Universität Bochum. Key research themes include: Task-motion planning integration Reinforcement learning for robotics Physical simulation and control Probabilistic inference methods Recent publications focus on efficient kinodynamic planning, belief space planning under uncertainty, and neural policy learning. He develops open-source robotic tools like the 'robotic python package' used in academic courses worldwide. Toussaint collaborates with Amazon Robotics and MIT CSAIL, and has held positions at Max Planck Institute and University of Stuttgart.

Flora SalimView profile

Professor

• Machine Learning
• Time-series Analysis
• Spatio-temporal Data Mining
• +5 more

Flora Salim is a Professor in the School of Computing Technologies at RMIT University. She serves as co-Deputy Director of the RMIT Centre for Information Discovery and Data Analytics (CIDDA) and an Associate Investigator of the ARC Centre of Excellence in Automated Decision Making and Society. Her research focuses on human behavior modeling, machine learning with time-series and spatio-temporal data, and edge AI applications in IoT and wearables. Flora has secured over $10M in research funding from ARC, industry partners, and government bodies. Notable awards include the 2021 PACM IMWUT Distinguished Paper Award, 2019 Humboldt-Bayer Fellowship, and RMIT's 2018 Research Impact Award. She leads the CRUISE research group and has held visiting professorships at the University of Kassel and University of Cambridge. Editorial roles: Associate Editor of PACM on IMWUT, Area Editor of Pervasive and Mobile Computing Steering Committee member of ACM UbiComp Her work bridges ubiquitous computing and machine learning, with applications in urban analytics, mobility, and health monitoring. Recent projects include self-supervised learning for multimodal data and forecasting with heterogeneous time-series. Supervision areas: Deep learning for sensor data, explainable AI, and wearable-based emotion sensing Teaching programs: Master of Artificial Intelligence and Master of Data Science

Zhao ZhaoView profile

Assistant Professor

• Wearable Systems
• Human-Computer Interaction (HCI)
• Human-Robot Interaction (HRI)
• +4 more

Zhao Zhao is an Assistant Professor at the School of Computer Science, University of Guelph. Her work focuses on wearable systems, human-robot interaction, and gamification for health and education. She holds a PhD from Carleton University (2019) and completed a postdoctoral fellowship at the University of Toronto (2019–2023) before roles at McMaster University and her current position. Education includes a BSc in Computer Science from University of Electronic Science and Technology of China (2011), MSc from Carleton University (2014), and PhD in Electrical and Computer Engineering (2019). Research interests span physiological computing, AI-assisted creativity tools, and adaptive systems leveraging wearable sensors. Key research areas include: 1) Wearable-based gamification for health and education, 2) Emotion sensing via physiological signals, and 3) Human-robot interaction enhanced by wearable data. Her lab uses Empatica EmbracePlus wristbands and Emotiv EEG headsets to analyze real-time physiological responses in diverse interaction scenarios. Recent publications (2020–2025) emphasize personalized exergame systems, child-robot interaction studies, and AI linguistic competency analysis. She actively seeks graduate students and industry partnerships in wearable technology, education tech, and HRI.

• Transportation Safety
• Automated Vehicles
• Human Factors in Transportation
• +3 more

Rakotonirainy Andry is a Professor at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety - Queensland (CARRS-Q). His research focuses on transportation safety, automated vehicles, human factors, and intelligent transportation systems (ITS). He leads interdisciplinary projects exploring driver behavior, connected vehicle technologies, and the societal impacts of automation. Key areas include accident prevention, human-vehicle interaction, and equity in transport systems. His work integrates machine learning, simulation studies, and behavioral analysis to address challenges in road safety. Notable contributions include studies on driver stress detection, automated vehicle acceptance, and the Australian Naturalistic Driving Study (ANDS). He collaborates with institutions globally, advancing innovations like connected vehicle pilots and multimodal AI for traffic safety. Research interests span automated driving systems, vulnerable road user protection, and policy implications of emerging technologies. His findings contribute to safer transportation policies and technologies, emphasizing both technical and human-centric perspectives.

Iman NematollahiView profile

Research Fellow

• Robotics
• Robot Learning
• Reinforcement Learning
• +5 more

Iman Nematollahi is a PostDoc in Robot Learning at the University of Freiburg under Prof. Dr. Abhinav Valada, having completed his PhD under Prof. Dr. Wolfram Burgard. He holds a MSc in Embedded Systems from the University of Freiburg and a BSc in Electrical Engineering from Shahid Beheshti University. His research focuses on robot learning, world models, and reinforcement learning, particularly in enabling robots to understand physics through world models and adapt skills in unstructured environments. Education: PostDoc in Robot Learning, University of Freiburg (2025–Present) PhD in Robot Learning, University of Freiburg (2019–2024) MSc in Embedded Systems, University of Freiburg (2015–2018) BSc in Electrical Engineering, Shahid Beheshti University (2010–2015) Research Interests: Robot manipulation, world models, reinforcement learning, computer vision, and self-supervised learning. His work emphasizes intuitive physics understanding, skill generalization, and sample-efficient policy improvement. Key Articles: Recent work includes LUMOS (language-conditioned imitation learning), Bayesian optimization for policy refinement, and 3D video prediction (T3VIP). These contributions bridge theory and real-world robotic applications, emphasizing long-horizon tasks and cross-environment adaptation. Awards & Grants: No explicit awards mentioned. His research has been supported through projects like OML (Organic Machine Learning). Teaching: Taught Deep Learning Lab (2020–2022) and Introduction to Mobile Robotics (2019).

• Music Education
• Vocal Health
• Music Perception
• +4 more

Rhonda Hackworth is an Associate Professor of Music Education in the Department of Music at the University of Mississippi, within the College of Liberal Arts. She serves as Head of Music Education and Graduate Program Coordinator, overseeing graduate studies and directing thesis and dissertation research. Her academic work bridges teaching, research, and performance, with a strong focus on the health and pedagogical development of music educators. Research Interests: Dr. Hackworth specializes in vocal health for music teachers and students, examining how teaching practices affect vocal well-being. She also investigates music perception, particularly how textual and musical elements interact to shape emotional responses. Her research contributes to both pedagogical strategies and occupational health in music education. She has published in leading journals such as Journal of Research in Music Education , International Journal of Music Education , and Journal of Music Teacher Education . Her publications reflect a consistent focus on vocal health, teacher training, and music cognition. Themes across her work include the impact of teaching experience on vocal strain, vocal hygiene awareness among educators, and the perceptual effects of music-text interactions. She actively presents her findings at international, national, and state-level conferences across the U.S. and abroad, including in Greece, China, and Italy. Scientific Awards: No specific awards mentioned in the text. Dr. Hackworth advises graduate students in music education, supervising theses and dissertations. She teaches foundational and advanced graduate courses such as Foundations of Music Education (MUS 619) , Research in Music Education (MUS 620) , and Intelligent Music Teaching (MUS 622) . While no grants are explicitly mentioned, her sustained research output and conference presence suggest active scholarly engagement. Her educational leadership extends beyond the classroom into program coordination and curriculum development. Dr. Hackworth is affiliated with the Department of Music at the Oxford campus of the University of Mississippi. She is part of the Graduate Program in Music (M.M.) and contributes to the academic and artistic mission of the College of Liberal Arts. Though no formal lab or research center is named, her work likely involves collaborative research teams and student-led projects in music education and vocal health.