Find Academic Supervisors

• Fuzzy Logic
• Similarity Measures
• Information Retrieval
• +3 more

Helga Naessens serves as Associate Professor in the Department of Information Technology within the Faculty of Engineering and Architecture at Ghent University. She is an active researcher affiliated with the Internet Technology and Data Science Lab, where she conducts work at the intersection of theoretical computer science and practical information systems. Her research program spans two distinct but connected phases. Early in her career (1999-2002), she focused on foundational work in fuzzy logic, developing algorithms for T-transitive closures, rational similarity measures, and fuzzy preorder relations. This theoretical work established mathematical frameworks that later enabled her applied research. From 2008 onward, she shifted toward practical applications in academic information systems, investigating research paper similarity metrics, metadata utilization, and personalized recommendation systems for scholarly resources. Analysis of her publication trajectory reveals a clear evolution from pure mathematics to applied computer science, with her recent work (2010-2013) demonstrating sophisticated integration of language models, semi-structured data, and content-based filtering techniques for academic search systems. Her research consistently bridges theoretical rigor with practical implementation challenges in scholarly communication. Dr. Naessens has maintained significant collaborative relationships throughout her career, most notably with Hans De Meyer and Bernard De Baets (7 publications each), Chris Cornelis (6 publications), and Germán Hurtado Martín (6 publications). She successfully supervised Germán Hurtado Martín's 2013 PhD dissertation on intelligent information filtering methods. Within the Internet Technology and Data Science Lab, she contributes to research initiatives focused on data-driven approaches to information management, with particular emphasis on improving how researchers discover and interact with academic literature through advanced computational techniques.

Lili JiangView profile

Associate Professor

• Artificial Intelligence
• Privacy Protection
• Fairness in AI
• +4 more

Lili Jiang is an Associate Professor at the Department of Computing Science, Umeå University, where she serves as Director of Studies and Programme Director for the MSc in Computing Science. She holds a PhD in Computer Science with expertise in AI trustworthiness, data mining, and natural language processing. Her research bridges computer science and artificial intelligence, focusing on privacy, fairness, and federated learning systems. Her research interests center on: Developing trustworthy AI systems with emphasis on privacy-preserving techniques Ensuring algorithmic fairness in socio-technical decision-making Advancing few-shot learning methods for NLP tasks Creating robust data federation frameworks for cross-database analysis Recent publications demonstrate strong focus on few-shot learning (particularly in NLP), privacy-preserving AI , and applied data mining for industrial/environmental systems. Her work consistently addresses real-world challenges through multimodal learning and explainable AI techniques. She leads the Deep Data Mining research group and collaborates with the Interpresence institute. Key projects include: Explainable, Safe, Contact-Aware Planning for Heavy Machinery (XSCAVE, 2024-2028) Assessment and Engineering of Equitable AI Systems (2022-2024) Privacy-aware Federated Database Infrastructure for Micro-Data Analysis (2018-present)

Kaikai LiuView profile

Associate Professor

• Intelligent and Autonomous Systems
• Mobile and Cyber-Physical Systems (CPS)
• Artificial Intelligence of Things (AIoT)
• +12 more

Kaikai Liu is an Associate Professor and Cisco Corporate Chair Professor in the Department of Computer Engineering at San José State University, Charles W. Davidson College of Engineering. He is actively engaged in research, teaching, and leadership in intelligent and autonomous systems, cyber-physical systems, and AIoT. His work bridges academia and industry, with collaborations involving NSF, Intel, Cisco, Arista, and the Department of Health of Hawaii. Research Interests: Intelligent and Autonomous Systems Mobile and Cyber-Physical Systems (CPS) Artificial Intelligence of Things (AIoT) Smart Sensing and Data Mining Edge Computing and Next-Generation Communication Systems His research spans both theoretical and applied domains, focusing on real-world deployments in smart cities, emergency response, behavioral health, and assistive technologies. He emphasizes system prototyping, data-driven analytics, and human-centered design. Recent Research Trends: His recent publications and projects show a strong focus on integrating AI with edge computing and sensing, particularly in cooperative perception (RINGS), mental health (OHANA), disaster communication, and intelligent urban infrastructure. There is a clear trajectory toward multi-modal, data-intensive systems that operate in real-time and support societal resilience. Scientific Awards: IEEE SWC 2017 Best Paper Award IEEE SECON 2016 Best Paper Award ACM SenSys 2016 Best Demo - Runner-up 2020 College of Engineering Award for Excellence in Scholarship Faculty Mentoring Award for CSU Student Competition 2018 Apple WWDC Scholarship (2013, 2014) National Scholarship of China Multiple University of Florida and SJSU Research Professor Awards Advising and Grants: Dr. Liu has mentored student teams to national recognition, including a first prize in the 2017 Juniper SDN Throwdown. He has secured significant research funding as Principal Investigator from the National Science Foundation (NSF), Knight Foundation, Intel, Cisco, Arista, and the U.S. Department of Health. Notable grants include the five-year OHANA Center (SAMHSA), RINGS (NSF), and multiple industry-funded projects on edge AI and smart infrastructure. Labs and Teams: He leads a research group focused on intelligent systems and edge computing, with a history of developing full-stack prototype systems like the SJGateway. He has led teams in the NSF Big Learning Center and the OHANA Center of Excellence, fostering interdisciplinary collaboration across engineering, public health, and social sciences.

Jerome LewisView profile

Academic

• Social Anthropology
• Hunter-gatherer societies
• Egalitarian politics
• +6 more

Jerome Lewis is Reader in Social Anthropology at University College London, where he also serves as Co-Director of the Extreme Citizen Science Research Group and the Centre for the Anthropology of Sustainability. A leading authority on Central African hunter-gatherers, he combines long-term ethnographic fieldwork with participatory technology design to advance indigenous rights and environmental justice. Education PhD Anthropology, London School of Economics and Political Science (2002) Research Interests Lewis’s scholarship focuses on egalitarian politics , ritual and play , and the evolution of language and music among hunter-gatherer societies. He is internationally recognised for developing Extreme Citizen Science —a methodological framework that empowers non-literate communities to collect and analyse data on their own terms through software such as Sapelli . His work on participatory mapping , free, prior and informed consent (FPIC) , and indigenous rights has directly influenced forestry governance across the Congo Basin. Scientific Awards & Honours 2017 & 2016: Outstanding Teacher Award, University of London Union 2015: William Fagg Lecturer, British Museum 2014: NT100 List, Nominet Trust 2010: Cuthbert Peek Award, Royal Geographical Society 2008: Dubai International Award for Best Practice 2007: Technology Museum Laureate 2006: Environmental Innovation Award, Timber Trade Journal 2005: E-tutor of the Year commendation, Times Higher Education Supplement Grants & Supervision Lewis has secured over €5 million in competitive funding, including Horizon 2020, Leverhulme Trust, and ESRC awards. He currently supervises nine doctoral researchers working on topics from water justice in Mexico to architectural decolonisation in Rwanda. Past supervisees have investigated Mbendjele cultural transmission, Malagasy agricultural practices, and gender dynamics among Idu-Mishmi communities. Research Groups & Labs He co-leads the Extreme Citizen Science Research Group within UCL’s Chorley Institute, and is affiliated with the Human Ecology Research Group and the Sustainability, Environment and the Culture of Materials Research Group . Through the Ethnographic Insights Lab he provides consultancy services to NGOs, governments and industry on community engagement and sustainable resource management.

Rajesh GanesanView profile

Associate Professor

• Cybersecurity
• Healthcare Operations
• Transportation Systems
• +6 more

Rajesh Ganesan is an Associate Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. His research focuses on applying advanced mathematical and computational methods to solve complex decision-making problems under uncertainty across multiple critical domains including cybersecurity, healthcare, defense, and transportation systems. His research interests span cybersecurity operations, healthcare resource allocation, transportation systems optimization, stochastic optimization, and reinforcement learning. Ganesan's work addresses fundamental challenges in sequential decision-making under uncertainty, with applications ranging from cybersecurity analyst scheduling to liver transplant allocation and air traffic management. His research has significant implications for national security, public health, and transportation efficiency. His publication record demonstrates consistent contributions to high-impact journals and conferences, with recent work focusing on cybersecurity operations centers (CSOCs), adaptive resource allocation, deception technologies, and healthcare optimization. His research methodology combines stochastic optimization, approximate dynamic programming, and reinforcement learning to tackle complex real-world problems. Teacher of Distinction Award, Center for Teaching Excellence ISERC Best Track Paper Award, National Security Track Faculty Study Leave, GMU Provost Office Multiple U.S. Patents in process control and manufacturing Best Paper Awards in air transportation and security domains Ganesan has successfully mentored PhD and Master's students including Poornima Balakrishna (recipient of the INFORMS Best Dissertation Award) and Sameer Kulkarni (recipient of the Transportation Research Board Graduate Research Award). His research has been funded by the National Science Foundation, Department of Defense, NIH, and other agencies, addressing critical challenges in security operations, healthcare systems, and transportation networks. His laboratory work centers around the Center for Secure Information Systems and the Center for Air Transportation Systems Research (CATSR), where he develops computational frameworks for dynamic resource allocation in complex adaptive systems.

Kevin HarmonView profile

Assistant Professor

• User Experience (UX)
• Decision Making
• Information Systems
• +5 more

Kevin Harmon serves as Assistant Professor in the Information Systems Department at the University of Arkansas' Walton College of Business. His research examines system delays' impact on user performance and experience across diverse technological contexts, bridging psychology and information systems. Education: Ph.D. in Management Information Systems, Texas Tech University (2022) MBA, Texas Tech University (2020) M.S. in Data Science, Texas Tech University (2018) M.A. in Psychology, Texas Tech University (2015) B.S. in Psychology, Truman State University (2012) Dr. Harmon's research integrates cognitive psychology with information systems to investigate latency effects on human-technology interaction. His work spans NeuroIS, UX design, and IT gender gap analysis, revealing critical insights about decision-making under system constraints and demographic disparities in technology careers. Current projects examine how artificial delays affect fake news credibility and neural adaptation during performance degradation. As an educator, he teaches Business Analytics to MBA and Executive MBA students, emphasizing data-driven decision frameworks. His scholarly contributions appear in premier journals including Management Information Systems Quarterly and Journal of the Association for Information Systems , where he also serves as ad-hoc reviewer. Research trends in his 12 most recent publications (2013-2024) demonstrate consistent focus on cognitive aspects of human-computer interaction, evolving from foundational memory studies toward contemporary NeuroIS investigations of system latency. His work increasingly incorporates intersectional analysis of gender/ethnicity in IT careers while maintaining rigorous experimental methodology. Dr. Harmon actively contributes to academic discourse through editorial reviews and professional membership in the Association for Information Systems, advancing methodological standards in information systems research.

Carlos Argüelles-DelgadoView profile

Researcher

• Neutrino Physics
• Astrophysics
• High-Energy Particle Physics
• +3 more

Carlos Argüelles-Delgado is a CIFAR Azrieli Global Scholar (2024-2026) and a researcher in the Department of Physics at Harvard University. His work focuses on high-energy neutrino physics and astrophysics, utilizing IceCube Neutrino Observatory data to explore new physics phenomena. PhD in Physics, University of Wisconsin at Madison MSc and BSc in Physics, Pontificia Universidad Católica del Perú His research spans neutrino mass mechanisms, quantum gravity effects, and astrophysical neutrino sources. He develops advanced reconstruction techniques for neutrino telescopes and contributes to IceCube Upgrade and IceCube-Gen2 projects. 2023 : Cottrell Scholar, Packard Fellow 2021 : Young Scientist Prize in Astrophysics, Sloan Fellowship Students in his group engage in full-cycle experimental analysis, from detector design to physics interpretation. Current efforts include improving IceCube's real-time alert systems and modeling cosmic neutrino fluxes.

Anind K. DeyView profile

Professor

• Human-Computer Interaction
• Machine Learning
• Artificial Intelligence
• +7 more

Anind K. Dey is a Professor and Dean of the Information School at the University of Washington, with adjunct appointments in the Allen School of Computer Science & Engineering and Department of Human-Centered Design & Engineering. His research bridges human-computer interaction, machine learning, and ubiquitous computing, focusing on behavioral modeling through passive mobile sensing. Education: PhD, MS in Computer Science (Georgia Tech), MS in Aerospace Engineering, BASc in Computer Engineering Research Interests: Context-aware computing, health behavior modeling, fairness in AI, digital interventions for substance abuse and mental health His 2023-2022 publications address fairness in ubiquitous systems, biobehavioral rhythms, workplace sensing, and health interventions for college students and substance use. Scientific awards include ACM Fellow (2021), CHI Academy (2015), and multiple best paper recognitions across UbiComp, CHI, and MobileHCI conferences. Currently recruiting students for Autumn 2025, Dey collaborates with experts in mental health, sustainability, and medical research. No specific lab/team information is mentioned in available texts.

Tal RavivView profile

Associate Professor

• Operations Research
• Transportation
• Logistics
• +2 more

Prof. Tal Raviv is an Associate Professor in the Department of Industrial Engineering at the Iby and Aladar Fleischman Faculty of Engineering, Tel Aviv University. He serves as head of the Shlomo Shmeltzer Institute for Smart Transportation and co-heads the Transportation and Logistics Lab. His educational background includes: BA in Economics from Tel Aviv University (1993) MBA from Recanati School of Business, Tel Aviv University (1997) PhD in Operations Research from Technion (2003) Postdoctoral fellowship at Sauder School of Business, University of British Columbia (2004-2006) Prof. Raviv's research focuses on operations research with emphasis on transportation and logistics, particularly smart transportation and sustainable logistics. His work develops optimization models for bike-sharing systems, vehicle routing, and urban mobility to enhance efficiency and user satisfaction while addressing sustainability challenges. Recent publications reveal a strong trend in shared mobility systems optimization, including inventory control and repositioning strategies for bike-sharing networks, analysis of user dissatisfaction due to unusable vehicles, and flexible delivery solutions using parcel lockers. His research bridges theoretical operations research with practical industry applications in transportation networks. Prof. Raviv has advised startup companies, applying his expertise to real-world business challenges. While specific grant details are not provided, his work demonstrates significant industry relevance through practical implementations. He leads the Transportation and Logistics Lab and the Shlomo Shmeltzer Institute for Smart Transportation, where his team develops innovative solutions for modern transportation challenges including data-driven routing, sustainable logistics, and smart infrastructure optimization.

Simon NestlerView profile

Professor

• Human-Computer Interaction
• User Experience Design
• Interactive Systems
• +9 more

Prof. Dr. Simon Nestler is a Professor for Human-Computer Interaction at Technische Hochschule Ingolstadt (THI) since 2019, previously at Hochschule Hamm-Lippstadt (HSHL) (2011-2019). He holds a Diploma in Computer Science and a Ph.D. in Human-Computer Interaction from Technische Universität München (TUM) and International Graduate School of Science and Engineering (IGSSE) , supervised by Prof. Gudrun Klinker . Educated: TUM (Diploma), IGSSE (Ph.D.) Affiliations: THI (2019-present), HSHL (2011-2019), Intraworlds (User Experience Engineer) Research Interests focus on applying HCI principles to safety-critical systems , particularly in emergency scenarios . He designs interfaces for car drivers , disaster response teams , and crisis management , addressing challenges like mental workload , collaborative problem-solving , and RFID patient tracking . His work includes developing virtual reality crisis simulations and mobile disaster apps . Teaching includes courses like Masterpraktikum GAMES and FAR Oberseminar . He also offers digital accessibility training , UX workshops , and keynotes on digitalization through his Prof. Nestler Akademie , which has trained 5000+ learners and delivered 100+ corporate trainings .

• Uncertainty management
• Information fusion
• Probabilistic expert systems
• +8 more

Joel Brynielsson serves as an Associate Professor at KTH Royal Institute of Technology within the Division of Theoretical Computer Science, School of Electrical Engineering and Computer Science, while simultaneously holding the position of Research Director at the Swedish Defence Research Agency (FOI) since 2008. His academic credentials include a Ph.D. in Computer Science (2006) and M.Sc. in Computer Science and Engineering (2000), both from KTH, followed by achieving Docent (Habilitation) status in Computer Science in 2015. Dr. Brynielsson's research spans uncertainty management, information fusion, probabilistic expert systems, command and control systems, operations research, game theory applications, web mining, privacy-preserving data mining, and cyber security. His work bridges theoretical computer science with practical security applications, particularly in national defense contexts. His recent publication record shows consistent scholarly output through 2024, with research focusing on cybersecurity practices in Swedish administrative authorities, cyber-threat perception in the financial sector, and social media applications for crisis management. The interdisciplinary nature of his work is evident in collaborations across security, defense, and emergency management domains. Associate editor for Springer Security Informatics journal Technical program chair for IEEE EISIC conferences (2013-2019) Regular reviewer for security and informatics journals Research funding from EU, Swedish Armed Forces, and public authorities Through his dual appointments, Dr. Brynielsson maintains a vital connection between academic research and practical defense applications, contributing significantly to both scholarly knowledge and real-world security solutions.

Knut Inge FostervoldView profile

Professor

• Research Methodology
• Cognitive Psychology
• Work and Organizational Psychology
• +4 more

Knut Inge Fostervold is a Professor at the Department of Method, Work, Cultural and Social Psychology at the University of Oslo . His work integrates research methodology , cognitive psychology , and work and organizational psychology . PhD in psychology (2003) from the University of Oslo Adjunct Associate Professor at Lillehammer University College Former roles at Forskningsparken AS and the Norwegian Society for Ergonomics Research Interests : Cognitive Psychology : Vision science, decision-making, and attention mechanisms Organizational Psychology : Workplace stress, personality factors, and telework impacts Ergonomics : Physical-environmental interactions, lighting design, and office layout Methodology : Measurement issues, self-reporting tools, and quantitative analysis Recent Trends : His 2022–2025 publications focus on human-chatbot relationships , remote work stress , and statistical feedback in peer review , with methodological emphasis on Bayesian analysis and network modeling . Organizational Roles : Head of the program council for BA and Master programs Leader of the Norwegian Association for Ergonomics and Human Factors Board member of the International Ergonomics Association

Donna DareView profile

Assistant Professor

• Clinical Pharmacy
• Medication Safety
• Healthcare Informatics
• +3 more

Donna Dare is an Assistant Professor in the Department of Clinical Pharmacy at the University of California San Francisco and serves as Associate Dean at the San Francisco Veterans Affairs Medical Center. She also directs the Pharmacy Service at SFVAMC, focusing on administrative support, mentoring, and clinical research. Affiliations: University of California San Francisco San Francisco Veterans Affairs Medical Center Her research centers on Medication Safety , Clinical Decision Support Systems , and Drug Interaction Management within ambulatory care settings. Key study areas include electronic health record design, prescriber behavior, and institutional guideline adherence. Scientific contributions include publications on drug-drug interaction alert overrides in ambulatory care environments (2007) and practitioner perspectives on computerized alerts in VA systems (2007). These works examine Healthcare Informatics challenges and Medical Order Entry System optimization. Scientific Recognition Fellow, California Society of Health-System Pharmacists (2011)

• Agricultural Safety
• Precision Agriculture
• Agricultural Technology
• +4 more

Aaron Etienne is an Assistant Professor in the Department of Applied Sciences, Technology and Education at Utah State University's S.J. & Jessie E. Quinney College of Agriculture & Natural Resources. His research focuses on integrating technology with agricultural practices to enhance safety, efficiency, and sustainability in farming operations. Located at the ASTE facility in Logan, Utah, Dr. Etienne investigates critical areas including lone worker safety systems, precision agriculture technologies, and automation solutions. Research Focus Areas: Agricultural Safety Innovation: Development of wearable devices and response systems for lone agricultural workers, incident database creation, and geospatial risk analysis. Precision Agriculture: UAV-based weed detection using deep learning, crop management systems, and sensor technology integration. Agricultural Automation: Grain handling robotics, machinery network systems (CAN-bus), and efficiency optimization technologies. His recent publications (2019-2025) demonstrate consistent focus on technology-driven solutions for agricultural challenges. Safety research dominates his recent output (7 publications), followed by automation (4) and precision agriculture (4). Key technological themes include deep learning applications, sensor systems, and geospatial analysis. Notably, 9 of 15 recent publications involve empirical validations or system developments, reflecting a strong applied research approach.

Komninos AndreasView profile

Assistant Professor

• Mobile and Pervasive Computing
• Network-centric Computing Systems
• Human-Computer Interaction
• +5 more

Komninos Andreas is an Assistant Professor in the Computer Engineering & Informatics Department at the University of Patras, specializing in Mobile and Pervasive Computing, Internet of Things, and Human-Computer Interaction. His research spans intelligent environments, context awareness, and virtual reality applications. His research focuses on mobile text entry systems, psycho-cognitive modeling of human behavior, and accessibility for visually impaired users. Key areas include large language model applications for text entry evaluation, pseudo-haptic feedback in VR, and spatial multimodal alerts for industrial environments. He develops simulation tools like RoboType for realistic text entry evaluations and open-source cognitive models. Notable achievements include a Best Paper Award at the ACM Greek SIGCHI Chapter (2023) for VR text entry research. He serves as co-general chair for EICS'26 and holds leadership roles in MobileHCI'24 and UbiComp/ISWC'24 as Workshops & Tutorials Chair and Student Competition Chair respectively. Best Paper Award at ACM Greek SIGCHI Chapter (2023) Co-General Chair for EICS'26 Workshops & Tutorials Chair for MobileHCI'24 Student Competition Chair for UbiComp/ISWC'24 His publications demonstrate strong emphasis on empirical validation of text entry systems, with recent work integrating LLMs for affective phrase generation and psycho-cognitive modeling. He actively promotes open data practices in HCI research and has contributed to digital twin systems for environmental education and maritime industry applications.