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Nader SadeghView profile

Professor

• Robotics
• Controls
• Automation
• +8 more

Nader Sadegh is a Professor in the Woodruff School of Mechanical Engineering at the Georgia Institute of Technology's College of Engineering, where he also serves as Associate Director and Education Director of the Robotics Ph.D. Program. His research spans robotics, control theory, and artificial intelligence with applications in industrial automation and public health. Dr. Sadegh's educational background includes: B.S. from University of California, Santa Barbara (1982) M.S. from University of California, Berkeley (1984) Ph.D. from University of California, Berkeley (1987) His research evolved from pioneering work on adaptive learning controllers for robotic manipulators—which enable robots to learn repetitive tasks without precise models—to neural network applications and nonlinear system identification. Current work focuses on barrier state theory for safety-critical control systems, safe trajectory optimization in robotics, and epidemiological modeling for disease transmission control. His methodologies consistently bridge theoretical control frameworks with industrial implementations to enhance system accuracy and autonomy while reducing hardware complexity. Analysis of his recent publications reveals a dominant trend toward safety-critical control architectures using barrier states and functions, with expanding applications in quadrotor navigation, agricultural robotics, and pandemic response systems. The interdisciplinary nature of his work connects control theory with machine learning, epidemiology, and industrial automation. Scientific distinctions include: Associate Editor, Journal of Dynamic Systems, Measurement, and Control (1993-1997) Registered Professional Engineer in Georgia U.S. Patent 5,946,449 for precision apparatus with non-rigid structures Dr. Sadegh has secured significant industry-sponsored research including Xerox Corporation projects on photoreceptor speed regulation, Ford Motor Company collaborations on assembly operations and continuously variable transmissions, and Visteon-funded work on high-precision manufacturing systems. His grants consistently target practical implementations where theoretical control methods solve real-world problems in automotive systems, electro-hydraulic valves, and glass forming processes. Based at the Georgia Tech Manufacturing Institute (GTMI), his lab develops integrated control solutions for complex mechanical systems, with recent emphasis on safety-guaranteed autonomous operations in unstructured environments and data-driven modeling for biological processes.

Matt OffordView profile

Senior Lecturer

• Leadership Education
• Experiential Learning
• Ecopedagogy
• +7 more

Dr. Matt Offord is a Senior Lecturer in Experiential Leadership Education within the Management department at the University of Glasgow's Adam Smith Business School. As Associate Director for Learning and Teaching (Scholarship of Learning and Teaching), he leads initiatives in educational innovation and mentors teaching-focused academics. His unique background as a former naval officer with nearly 30 years of service informs his practical approach to leadership education. Offord's research centers on experiential learning methodologies, particularly ecopedagogy, outdoor learning, and educational escape rooms. Drawing inspiration from John Dewey's educational philosophy, he creates learning experiences that develop critical reflection about leadership through unconventional settings and simulations. His work bridges theory and practice with a focus on 'wide awake' consciousness in leadership development. His extensive publication record shows a clear trajectory toward innovative educational approaches, with recent work emphasizing ecopedagogy, AI integration in business education, and sustainable leadership practices. Offord has published in journals including Postdigital Science and Education, Open Scholarship of Teaching and Learning, and Palgrave Communications. Shortlisted for Best Innovation Strategy Award (Association of MBAs and Business Graduates, 2024) Shortlisted for Innovation in Business Education Award (QS Reimagine Education, 2023) Distinction in MSc (Digital Education) (University of Edinburgh, 2023) Distinction in Post Graduate Certificate of Academic Practice (University of Glasgow, 2021) Aspect Innovation Fellow (2023) Senior Fellow of Recognising Excellence in Teaching (RET) Certified Management and Business Educator (CMBE) Offord actively mentors early career academics and PhD students while leading the School's academic efforts in Technology Enhanced Learning and Teaching (TELT) and AI. His current supervision focuses on paradoxical leadership, post-heroic leadership, emotional regulation, and leadership expectations. Significant grant funding supports his work, including the Knowledge Exchange Innovation Fund 2025 (£36,000) for educational escape rooms in maritime DEI training and the Chancellor's Fund 2023-2025 for ecopedagogy teaching projects. His teaching practice spans undergraduate, postgraduate, and executive education levels, with expertise in experiential learning through practical ecopedagogy, outdoor learning, serious games, and simulations. Offord has developed educational escape rooms for business education and maritime leadership training, demonstrating his commitment to innovative pedagogical approaches that connect classroom learning with real-world challenges.

Hazar DibView profile

Associate Professor

• Building Information Modeling (BIM)
• Information Systems
• Knowledge Management
• +7 more

Hazar Dib is an Associate Professor at the School of Construction Management Technology, Purdue Polytechnic Institute, Purdue University. His work bridges Building Information Modeling (BIM) , knowledge management , and interactive learning technologies to advance construction education and process efficiency. Ph.D. in Building Construction (2007, University of Florida) MSc. in Civil Engineering (2002, University of Balamand) BSc. in Civil Engineering (2000, University of Balamand) Research Interests focus on: BIM lifecycle integration AI/knowledge-based systems for construction Digital tools for surveying and steel connection education Collaborative communication frameworks Sustainability metrics in building practices Human factors in technology adoption Scientific Awards include multiple Charles B. Murphy Awards for undergraduate teaching and the Society of Leaders in Construction induction. His NSF-funded projects like VELS (Virtual Environment for Learning Surveying) and Steel Connection Teaching Tool highlight his innovation in STEM education . Articles span serious games , visual learning , and BIM maturity assessments , reflecting his interdisciplinary approach.

Richard EbsteinView profile

Professor

• Neuroeconomics
• Molecular Genetics
• Human Personality
• +7 more

Richard Ebstein is Professor in the Psychology Department at the National University of Singapore and Professor Emeritus in the Psychology Department at the Hebrew University. In Singapore, Ebstein along with Chew Soo Hong, heads a research group of economists, psychologists, neuroscientists and molecular geneticists investigating core issues in the nascent field of neuroeconomics. His work has established him as a pioneer in applying neurogenetic strategies toward understanding individual and social decision making. Dr. Ebstein's educational background includes: B.S. from Union College M.S. from Yale University Ph.D. from Yale University His research revolves around human behavior genetics, with the overarching goal of providing molecular insights into the role of genes as partial contributors to all facets of human behavior. His highly interdisciplinary work combines personality, social, cognitive, and neuropsychology with molecular genetic techniques. Major research areas include neuroeconomics, the genetics of social behavior and normal personality, autism spectrum disorders, ADHD, eating disorders, and substance abuse. Analysis of his publication record reveals a clear trajectory from foundational work on neurotransmitter systems to increasingly sophisticated investigations of gene-environment interactions. His most recent research focuses on oxytocin and vasopressin systems in social behavior, stress response, and neurodevelopmental disorders, frequently employing imaging genetics approaches to connect genetic variations with brain structure and behavioral outcomes. This work demonstrates remarkable consistency in examining how biological factors shape social cognition and decision-making processes. Dr. Ebstein has published over 260 peer-reviewed articles, making substantial contributions to the molecular genetics of human personality. His research group at NUS investigates core issues in neuroeconomics, bringing together diverse disciplinary perspectives to understand the biological basis of economic decision-making. His work has significant implications for both theoretical understanding of human behavior and potential clinical applications for disorders involving social cognition deficits.

Maja KrzicView profile

Professor

• Soil Science
• Conservation Biology
• Sustainable Agriculture
• +3 more

Dr. Maja Krzic is a Professor at the Department of Forest and Conservation Sciences within UBC's Faculty of Land and Food Systems. Her research bridges soil science with sustainability education through community engagement and digital innovation, focusing on human impacts on soil properties across agricultural, grassland, and forest ecosystems. She develops cutting-edge teaching tools like the Digging into Canadian Soils open textbook and SOILx interactive platform. PhD (University of British Columbia, 1997) MSc (University of Belgrade, 1990) BSc (University of Belgrade, 1986) Her publications (2010-2025) explore greenhouse gas dynamics in agricultural systems, soil carbon sequestration in elevation gradients, and innovative educational approaches including problem-based learning and augmented reality. Recent work addresses climate-resilient soil management in coastal British Columbia and gender parity in soil science academia. Major awards include: 3M National Teaching Fellow (2016) UBC Killam Teaching Prize (2006) Fellow, Soil Science Society of America (2023) Platinum AVA Digital Award for SOILx (2015) She has mentored 28 graduate students and postdocs, including Amy Wells (2024), Clara Roa-Garcia (PhD, 2018), and Preston Cumming (Postdoc, 2015). Current projects focus on climate change adaptation in Delta farmland and regenerative agricultural practices.

Betty TärningView profile

Researcher

• Cognitive Science
• Educational Technology
• Human-Computer Interaction
• +5 more

Betty Tärning is a researcher at the Department of Philosophy, Lund University , specializing in Cognitive Science and Educational Technology . She is affiliated with the eSSENCE: The e-Science Collaboration and contributes to the LU Profile Area: Natural and Artificial Cognition . Her work focuses on digital learning environments, pedagogical agents, and feedback systems. Email: betty.tarning@lucs.lu.se Office: LUX:B467, Helgonavägen 3, Lund Research Interests: Tärning investigates how virtual reality and educational games can enhance learning outcomes, particularly in middle school and early childhood education . Her recent work explores robotic emotional expression and feedback neglect in digital contexts. Article Trends: Recent publications emphasize human-robot interaction , virtual learning environments , and feedback mechanisms in educational games. She integrates cognitive modeling with pedagogical design to address challenges in digital literacy and student engagement . Projects & Collaborations: Active in initiatives like DeSIDE: Designing Sustainable Digital Work and Virtuellt klassrum som forskningsplattform , she collaborates across disciplines, including with Pufendorf IAS and Humanities Lab . Her network includes researchers from Sweden , Europe , and North America .

• Technology Enhanced Learning
• Activity Theory
• Educational Change
• +5 more

Brett Bligh is a Senior Lecturer at Lancaster University's Department of Educational Research and Director of the Doctoral Programme in E-Research and Technology Enhanced Learning. His work focuses on technology-driven institutional change in post-compulsory education through Activity Theory and interventionist methodologies like the Change Laboratory. Current roles: Director of Teaching for Department of Educational Research Leadership in International Society for Cultural-historical Activity Research (ISCAR) Co-editorships: Studies in Technology Enhanced Learning, Bureau de Change Laboratory Research interests center on: Digital transformation in higher education Activity theory applications Change Laboratory interventions Technology-enhanced learning frameworks His recent publications analyze: Open Educational Practices (2025) Virtual sustainability initiatives (2025) Pandemic-era educational pivoting (2022) Networked learning frameworks (2023) He supervises numerous PhD students (20+) working on: AI integration in teaching Blended learning communities Logistics education reform Medical professional identity

Patrick PraxView profile

Assistant Professor

• Game Design
• Sustainability
• Media Literacy
• +11 more

Patrick Prax is an Assistant Professor at the Department of Game Design, Uppsala University, specializing in participatory media and critical game studies. His research explores co-creation in digital games as alternative media, focusing on systemic sustainability, cultural heritage preservation, and social justice frameworks within gaming ecosystems. PhD in Media Studies (Uppsala University, 2016) Co-chair, Game Studies Working Group at NordMedia Board member, Cultural Heritage Incubator (Swedish National Heritage Board) Key research areas include: Political economy critiques through game mechanisms (e.g., loot boxes) Reflexive approaches to digital game preservation Esports culture and leadership dynamics Media literacy and civic engagement through gaming Recent publications examine sustainability integration in game education, systemic issues in game monetization, and community-driven adaptations of Warhammer 40k. He actively engages with public discourse through TEDx talks, national media appearances (TV4, UNT24), and policy advisory roles.

Georgios LappasView profile

Professor

• Social Informatics
• E-Government
• E-Democracy
• +9 more

Georgios Lappas is a Professor of Information Technology with emphases on Social and Political Informatics at the Department of Communication and Digital Media, University of Western Macedonia. He serves as Head of the Department, Director of the Digital Media and Strategic Communication Laboratory, and Vice-Director of the MSc Programs "Public Discourse and Digital Media" and "Digital Games and Multimedia Development". He is also a member of the Regional Council for Research and Innovation of the Region of Western Macedonia. Professor Lappas holds a PhD in Computer Science and an MSc in Applied Artificial Intelligence. His academic career spans numerous research contributions and leadership roles within the university and research community. His primary research interests focus on Social Informatics, E-Government, E-Democracy, Online Politics, Human-Computer Interaction, Digital Marketing, Online Reputation Management, Web Mining, Opinion Mining, Artificial Intelligence, Web Intelligence, and Social Network Analysis. His work bridges computer science with social and political sciences, particularly examining how digital technologies impact governance, political communication, and social interactions. Professor Lappas has published extensively, with over 100 papers in international journals, conference proceedings, and book chapters. His recent work examines social media campaigns in political contexts, citizen engagement with digital government services, and the application of emerging technologies like augmented reality in various sectors. His publications appear in prestigious journals such as New Media and Society, Journal of Information Technology and Politics, Local Government Studies, and International Journal of Electronic Governance. He has served as Program Committee member in more than 130 international conferences and on editorial boards of journals including Journal of Information Technology and Politics, International Journal of Entertainment Technology and Management, and Journal of E-Government. Professor Lappas has chaired or co-chaired four international conferences, served on organizing committees for seven conferences, acted as publicity chair for two conferences, and chaired sessions at over 20 international conferences. Professor Lappas has participated in numerous national and EU-funded projects. Currently, he coordinates the "Wine Live Label Innovative Augmented Reality Applications in Wine Product Labeling" project under the "Research-Create-Innovate" program, and leads work package 5 of the "AGRO-TOUR" project focused on mixed reality applications for promoting mountain trails in Western Macedonia. He teaches courses including Human-Machine Communication, Digital Marketing and Online Entrepreneurship, Online Reputational Management, E-Government, E-Democracy and Political Campaigns on the Internet, Special Issues on Social Informatics, and Big Data and Web Intelligence.

• Wireless Communication
• Machine Learning
• Signal Processing
• +4 more

Prof. Dr. Haris Gačanin is a faculty member at RWTH Aachen University, affiliated with the Institute for Distributed Signal Processing under the College of Electrical Engineering. His research focuses on integrating machine learning with wireless communication systems, particularly in industrial IoT, edge computing, and network optimization. Current academic rank: Professor Contact: harisg@dsp.rwth-aachen.de Research Interests: Wireless systems, machine learning, signal processing, and network optimization. Key contributions include: Adaptive resource allocation in IIoT and vehicular networks AI-driven channel estimation and feedback mechanisms Security-oriented emitter identification via metric learning Federated/transfer learning for edge environments Hardware-efficient deep learning models for mmWave and THz communications Methodological Focus: Combines reinforcement learning, attention mechanisms, and robust neural architectures with practical implementations on FPGA and vehicular systems.

Arianna BisazzaView profile

Associate Professor

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +7 more

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

Gaang LeeView profile

Assistant Professor

• Construction Engineering
• Built Environment
• Human Factors
• +5 more

Gaang Lee is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering, where he joined in 2022 after earning his Ph.D. from the University of Michigan. His research pioneers 'sympathetic' built environments that enhance safety, health, productivity, and comfort for workers and users through integration of wearable biosensors, AI, extended reality, and robotics with psychophysiological theories. Education: Ph.D in Civil and Environmental Engineering, University of Michigan, Ann Arbor (2022) - Emphasis: Construction Engineering and Management; Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Discovery and Engineering, University of Michigan, Ann Arbor (2022) M.S. in Architectural Engineering, Yonsei University, South Korea (2012) - Emphasis: Construction Engineering and Management B.S. in Architectural Engineering, Yonsei University, South Korea (2010) Dr. Lee combats technological exclusion for marginalized groups (construction workers, older adults) by developing empathetic technologies for workplaces, buildings, and urban spaces. His work applies human sensing, AI, and digital twins to create environments that adapt to diverse human needs, with key projects spanning psychophysiological safety monitoring, human-robot collaboration, and inclusive urban design. He integrates psychophysiological and socio-cognitive theories to address real-world gaps in construction engineering and computer science. His recent publications (2023-2025) reveal strong trends in AI-driven safety hazard identification, biosensor-based stress/fatigue monitoring, and virtual reality for construction team dynamics. A critical emerging focus is equity-centered technology design, with increasing publications addressing inclusive built environments and technological access for vulnerable populations through graph-based algorithms, domain adaptation, and interpretable AI models. Scientific Awards: No awards mentioned in the provided text. Dr. Lee actively recruits students for his 'Empathetics' research group starting in 2026, prioritizing candidates with empathy, research motivation, and commitment to diversity and inclusion. While specific grants are not detailed, his research program receives institutional support from the University of Alberta and likely external funding given its interdisciplinary scope and industry relevance. He leads the 'Empathetics' research group (part of Attentive Hub) which emphasizes diversity as fundamental to innovation. Current projects include psychophysiological monitoring for occupational safety, trustable human-robot collaboration systems, and extended reality frameworks for empathetic built environments. The group collaborates with IHT LAB (https://www.iht-lab.com/) and focuses on deploying technologies that make daily surroundings safe, healthy, and truly inclusive for all individuals.

Ai-Chun PangView profile

Professor

• Fog/Edge Computing
• Wireless Networking
• Mobile Computing
• +5 more

Professor Ai-Chun Pang is affiliated with the National Taiwan University , serving in both the Department of Computer Science and Information Engineering and the Graduate Institute of Networking and Multimedia . He held leadership roles including Associate Dean (2018-2022) and Director (2013-2016) within the College of Electrical Engineering and Computer Science. His research spans Fog/Edge Computing , Wireless Networking , Mobile Computing , and AIoT Systems , with recent advancements in federated learning security, energy-efficient network design, and 5G/6G optimization. Collaborative work includes applications in vehicular networks, industrial control systems, and non-terrestrial connectivity. Key publication themes: Edge Intelligence and Privacy (2024) Federated Learning for Heterogeneous Devices (2023-2024) 5G Backhaul Optimization (2017-2021) Wireless Energy Transfer (2022) Awarded IEEE Fellow 2021 for contributions to mobile edge networks, he has received multiple IEEE Vehicular Technology Society awards, the CES 2019 Innovation Award , and teaching accolades including National Taiwan University Distinguished Teaching Award (2010) . His lab has produced 16 PhD students now in academia and industry. As Editor-in-Chief of IEEE Wireless Communications Letters and active in conference organization, he shapes global research directions. Current projects focus on GenAI for Networking and Non-Terrestrial Networks , with recent 2024 admissions for new students.

Jie GaoView profile

Assistant Professor

• Machine Learning for Communications and Networking
• Internet of Things (IoT) and Industrial IoT
• Cloud and Multi-Access Edge Computing
• +7 more

Dr. Jie Gao is an Assistant Professor at the School of Information Technology , Carleton University, with cross-appointments at Dalhousie University (Adjunct Faculty, 2024) and Carleton University (2025). He holds a Ph.D. in Electrical and Computer Engineering from the University of Alberta (2014) and has held postdoctoral and research associate positions at Ryerson University (2017-2019), University of Waterloo (2019-2020), and Marquette University (2020-2022). His research focuses on machine learning for communications/networking , 6G wireless networks , cloud/multi-access edge computing , IoT/industrial IoT solutions , and network virtualization/digital twins . Research Leadership: Co-investigator on projects related to AI-assisted network slicing, digital twin-driven resource allocation, and integrated satellite-terrestrial networks Led work on energy-efficient UAV-assisted edge computing (IEEE Best Land Transportation Paper Award 2024) Professional Roles: Senior Member, IEEE Lead Associate Editor, IEEE Access Vehicular Technology Society Section (2020-present) Associate Editor, Springer Peer-to-Peer Networking and Applications (2020-present) IEEE Vehicular Technology Society Young Professional Ambassador (2024) Notable Contributions: Authored/co-authored books on Intelligent Computing and Communication for the Internet of Vehicles (Springer, 2023) and Connectivity and Edge Computing in IoT (Springer, 2021) Holds patents on medium access control methods (US Patents 2022, 2024) Received multiple IEEE service awards (2018-2024)

Haining WangView profile

Professor

• Cybersecurity
• Networking Systems
• Cloud Computing
• +5 more

Haining Wang is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. His research focuses on cybersecurity, networking systems, cloud computing, and cyber-physical systems. He holds a Ph.D. from the University of Michigan (2003). His work addresses critical challenges in network security, IoT device fingerprinting, drone navigation security, and 5G/6G infrastructure vulnerabilities. Notable contributions include developing frameworks for detecting deceptive reviews, securing industrial IoT devices, and enhancing geofencing systems with 6G technologies. Wang's IEEE Fellow award (2020) recognizes his contributions to network and cloud security. His research also explores cloud gaming security, data center thermal vulnerabilities, and DNS privacy risks. He actively publishes on topics like container registry typosquatting, acoustic indoor localization, and encrypted DNS censorship analysis. Education: Ph.D., University of Michigan, 2003 Awards: IEEE Fellow (2020) Key Research Areas: Cybersecurity, Network Measurement, IoT Security, 5G/6G Systems Wang's recent work emphasizes securing emerging technologies like drone navigation systems and optimizing sensor placements in indoor environments. His projects often bridge theoretical frameworks with practical implementations in real-world networks and cloud infrastructures.