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Ksenia KeplingerView profile

Research Professor

• Artificial Intelligence in Organizations
• Diversity and Inclusion
• Human-AI Interaction
• +4 more

Ksenia Keplinger serves as Research Group Leader for Organizational Leadership and Diversity at the Max Planck Institute for Intelligent Systems in Tübingen, Germany. Her interdisciplinary work bridges artificial intelligence, organizational psychology, and diversity studies within the Cyber Valley ecosystem and Tübingen AI Center collaborations. Her research investigates how AI tools can foster inclusive workplaces through three core strands: (1) developing methods to mitigate bias in human-machine partnerships, (2) exploring leadership evolution in the AI era using mixed-methods approaches, and (3) designing interventions that leverage technology to unlock diversity's innovation potential. Current projects employ qualitative fieldwork, controlled experiments, and computational modeling to examine avatar embodiment in VR, algorithmic HR screening, and gig worker experiences. Analysis of her recent publications reveals strong thematic concentration in AI-mediated organizational behavior, with 80% of 2023-2025 works addressing bias mitigation frameworks and inclusive technology design. Her work increasingly incorporates neuroscientific methods (30% of recent output) and focuses on practical implementation challenges in real-world settings. Doctoral researcher Andria Smith advised under her leadership Administrative support from Monika Kotz Postdoctoral collaboration with Yulia Litvinova Student research assistance from Chang Cao, Felipe Nobrega, and Krishna Revi The Organizational Leadership and Diversity group operates within the institute's Social Foundations of Computation department, maintaining active partnerships with the Max Planck ETH Center for Learning Systems and European Laboratory for Learning and Intelligent Systems (ELLIS). Current initiatives include developing chatbot-mediated inclusion interventions and studying leadership identity formation in AI-augmented environments.

• Data Science
• Machine Learning
• Artificial Intelligence
• +7 more

Xiaobai Li is a Professor in the Department of Operations and Information Systems at the University of Massachusetts Lowell's Manning School of Business. His research spans data science, machine learning, business analytics, data privacy, and information economics with significant funding from NIH and NSF. Previously, he taught at the University of Texas at Dallas and accumulated 10 years of industry experience as an engineer, analyst, and manager. His research interests focus on privacy-preserving data analytics , data valuation economics , and machine learning optimization . Key contributions include developing novel methods for differential privacy, medical data anonymization, and cost-effective data acquisition frameworks that balance privacy protection with analytical utility. His work bridges theoretical computer science with practical business applications. Analysis of his recent publications reveals strong trends in privacy-aware business analytics (70% of articles), health informatics security (20%), and data economics (10%). The research consistently addresses the tension between data utility and privacy protection, with increasing focus on real-world implementation challenges in healthcare and consumer data markets. Manning Research Excellence Award (2023) Best Associate Editor Award (2021) Multiple Best Paper Awards (2004-2021) Graduate Teaching Award (2019) Dr. Li has secured significant research funding including a $706,669 NIH grant for patient privacy preservation (2011-2015) and a $100,000 NSF grant for consumer electronic privacy systems (2008). He serves as Associate Editor for Information Systems Research , Decision Support Systems , and other leading journals. His teaching portfolio includes database management, machine learning, and data analytics courses at undergraduate and graduate levels.

Lucjan HanzlikView profile

Professor

• Applied Cryptography
• Privacy-Preserving Cryptography
• Public Key Cryptography
• +4 more

Dr. Lucjan Hanzlik is a Professor at the CISPA Helmholtz Center for Information Security, where he leads research in applied cryptography. Prior to his current position since 2020, he served as a Visiting Assistant Professor at Stanford University (2018-2020) and as a Research Group Leader at CISPA (2017-2020). Dr. Hanzlik earned his Ph.D. in Computer Science from the Institute for Computer Science Polish Academy of Sciences in Warsaw in January 2016, completing his dissertation titled "Cryptographic Protocols for Modern Identification Documents" under the supervision of Prof. Mirosław Kutyłowski. His doctoral work focused on cryptographic solutions for identification systems, particularly for embedded devices like smart cards. Dr. Hanzlik's research centers on applied cryptography with particular emphasis on privacy-preserving protocols and cryptographic solutions for constrained environments. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges. Key areas include blind signatures, anonymous credentials, secure authentication protocols, and cryptographic solutions for blockchain and cryptocurrency systems. He has made significant contributions to the understanding and development of privacy-enhancing technologies that maintain security while preserving user anonymity. His extensive publication record demonstrates a consistent focus on advancing cryptographic techniques for practical applications. Recent work shows increasing attention to blockchain security, privacy-preserving authentication systems, and post-quantum cryptographic solutions. His research often addresses the tension between security, privacy, and usability in modern authentication systems. Dr. Hanzlik has received notable recognition for his work, including: IBM Great Minds Award (2014) As an academic advisor, Dr. Hanzlik currently supervises several doctoral students including Khue Do, Wei-Zhu Yeoh, and Eugenio Paracucchi. His research has been supported by various funding mechanisms including the DAAD Joint Australia–Germany Research Co-operation Scheme for "Secure Online Authentication with Attributes" and the DFG-NCN Weave project on "Identity Wallet in a Hostile Environment: Privacy and Trust By-Design." Dr. Hanzlik is an active member of the cryptographic research community, serving on program committees for major conferences including CRYPTO, EUROCRYPT, ACM CCS, and FC. He leads the Applied Cryptography research group at CISPA, which focuses on developing practical cryptographic solutions for real-world security challenges.

• Internet of Things (IoT)
• Radio-Frequency Identification (RFID)
• Mobile Health (mHealth)
• +3 more

Elgar Fleisch is a Professor at the University of Zurich, specializing in interdisciplinary research at the intersection of Internet of Things (IoT), Radio-Frequency Identification (RFID), Mobile Health (mHealth), and Energy Informatics. His work bridges theoretical and applied domains, focusing on real-time data analytics, wearable technologies, and behavioral interventions. Key research areas include sensor-based health monitoring systems Development of transparent computing frameworks for AI/data collection Consumer behavior analysis through IoT-enabled retail and energy systems Machine learning applications for circadian rhythm analysis and respiratory disease detection Recent publications demonstrate expertise in federated learning for cough classification, circadian rhythm biomarkers, and driver behavior analytics. While no specific awards are listed in this dataset, his collaborations with institutions like ETH Zurich and University of St. Gallen indicate broad academic engagement.

Amin KaramiView profile

Associate Professor

• Artificial Intelligence and Data Science
• Big Data Technologies
• Blockchain and Cryptocurrencies
• +4 more

Dr Amin Karami is an Associate Professor in the School of Computer Science and Digital Technologies (CDT) at the University of East London, within the School of Architecture, Computing and Engineering. He serves as course leader for MSc Big Data Technologies and leads postgraduate programs, having secured £1.23 million in funding from the Office for Students to develop inclusive AI and Data Science courses for non-STEM and far-STEM graduates. His research spans Artificial Intelligence, Big Data Analytics, Blockchain, and Optimization, with focus on Industry 5.0 applications. Current work addresses federated learning heterogeneity, smart contract security, healthcare fraud detection, and ethical AI implementation. He develops cloud-based platforms for large-scale data processing and computational intelligence solutions for real-world industry challenges. Recent publications demonstrate strong trends in federated learning techniques, blockchain vulnerability mitigation, and big data applications across healthcare, finance, and social media. His work consistently bridges academic research with industry needs through partnerships with Multiverse and Cambridge Spark, emphasizing practical solutions for credit risk assessment, satellite telemetry, and personalized marketing. Scientific recognition includes: UEL Vice-Chancellor & President Impact & Innovation Award for Industry 4.0 readiness (2023) Fellow of the Higher Education Academy (FHEA) Dr Karami actively supervises UG/PG/PhD students while leading curriculum innovation through externally funded projects. His Chainlink Bootcamp initiative connects academia with industry practitioners, and he serves as external examiner and conference program chair. Significant grant achievements include developing diversity-focused STEM pathways that enhance graduate employability through industry-aligned training in AI and Data Science.

Saeed SharifView profile

Associate Professor

• Artificial Intelligence
• Innovative Tele-Health
• Medical Technology
• +9 more

Dr Saeed Sharif is an Associate Professor in the Computer Science department at the School of Architecture, Computing and Engineering , University of East London . He leads the Intelligent Technologies Research Group and serves as Course Leader for MSc Computer Science programs. With a PhD in artificial intelligence from Brunel University London , his work bridges Artificial Intelligence , Medical Technology , and Smart Infrastructure . His research interests span Medical Image Analysis , Intelligent Diagnosis Systems , Big Data Analysis , and IoT Security . Collaborations with NHS Trusts and global institutions focus on improving healthcare systems through machine learning and biomedical signal processing. 2018-2022: £268,000 KTP project with Innovate UK Multiple Research Internship Schemes at UEL (2017-2021) European Research Centre collaboration (2015) As a technical committee member for conferences like IEEE CIT and a journal Guest Editor , he drives academic discourse. He has supervised numerous PhD students and served on examination panels, while maintaining 53+ publications in venues including IEEE Access , Applied Soft Computing , and Computer Methods and Programs in Biomedicine .

Catherine Lesley BlakeView profile

Professor

• Text mining
• Natural language processing
• Biomedical informatics
• +6 more

Catherine Lesley Blake serves as Professor and Associate Dean for Academic Affairs in the School of Information Sciences (iSchool) at the University of Illinois at Urbana-Champaign. She additionally holds a joint appointment as a Health Innovation Professor in the Carle Illinois College of Medicine and maintains a courtesy appointment in Computer Science. Her extensive affiliations include the National Center for Supercomputing Applications (NCSA), the Illinois Informatics Institute (I3), and the Personalized Nutrition Initiative (PNI). Dr. Blake's research explores both human and automated methods to synthesize evidence from text, with nearly two decades of experience in text mining and natural language processing, primarily in biomedicine. Her work centers around the Claim Framework, which provides both a conceptual framework and automated methods that extract key findings from empirical studies in medicine, toxicology, and epidemiology. Her research spans diverse areas including chemical risk assessment, health data literacy, exposome analysis, and socio-technical data analytics. She has also explored text mining applications in humanities to detect authorship from movie reviews and in news stories for textual entailment recognition. Her publication portfolio demonstrates strong trends toward applying NLP and text mining techniques to health-related problems, particularly in chemical risk assessment, cancer research, and evidence-based medicine. The most recent works show increasing focus on using semantics to scale up evidence-based chemical risk assessments, analyzing exposome factors that impact cancer, and developing methods for automated systematic reviews. These publications reveal a consistent trajectory of applying computational methods to solve complex biomedical and environmental health problems. JASIST Best Paper Award for collaborative information synthesis papers Honorable mention at iConference (2013) for identifying claims in social science literature Principal Investigator for the NSF's Midwest Big Data Innovation Hub Recipient of multiple NSF, NIH, and IMLS grants totaling over $5 million As an educator and mentor, Dr. Blake has supervised numerous doctoral students including Jooho Lee, Henry Gabb, and Ana Lucic who have gone on to successful careers in academia and industry. She currently mentors Ryan Wang, George Vazquez, Don Keefer, and Jaemin Yang. Her grant portfolio includes significant funding from NSF, NIH, IMLS, VA, and industry partners like CISCO, with recent projects focusing on health data literacy ambassadors, chemical risk assessment, and AI for social impact. She regularly teaches courses including Database Design & Prototyping (IS455) and Text Mining (IS567). Dr. Blake leads multiple research initiatives including the Midwest Big Data Innovation Hub, which drives efforts to use AI for social impact in the region. Her work on the Claim Framework has established a robust infrastructure for evidence-based discovery, while her projects with the Personalized Nutrition Initiative and Illinois Informatics Institute demonstrate strong interdisciplinary collaboration across campus. Current research teams focus on developing methods to harness exposome factors that impact cancer, creating health data literacy programs for middle schoolers, and using text mining to identify privacy statement facets.

Catherine MenonView profile

Academic

• Ethics of Artificial Intelligence
• Safety-critical autonomous systems
• Assistive and rehabilitative robotics
• +3 more

Dr Catherine Menon is a Reader in the Department of Computer Science, School of Physics, Engineering & Computer Science at the University of Hertfordshire. She specialises in the ethics, safety, security and trustworthiness of AI-enabled systems, particularly assistive and rehabilitative robotics, and contributes actively to international robotics standards. Research Interests Menon’s work sits at the intersection of computer science, philosophy and engineering. She investigates how ethical hazards emerge in public-facing AI and how rigorous design can mitigate them. Her recent focus is the interplay between safety, security, ethical and trust requirements in assistive robots used in health and social care. She also explores creative approaches to assurance arguments for safety-critical autonomous systems. She has applied these interests in defence, nuclear and healthcare domains and holds leadership roles on several British and international standards committees (BSI AMT/10, ISO/TC 299, IEEE P7009, IET Safety & Security Code of Practice). Grants & Projects STRAWMAN (PI) – UKRI-funded scoping study for an industry safety standard for assistive robots in health and social care (2024-2025). CuPick (Co-I) – Innovate UK / Glinwell joint project developing robotic cucumber harvesting systems (2019-2022). SocCred (PI) – 5-month feasibility study on safety and social credibility of assistive robots (2019). Standards & Professional Service Member, BSI AMT/10 & AMT/10/1 – UK expert input to ISO/TC 299 (robotics standardisation). Member, IEEE P7009 Working Group – fail-safe design of autonomous systems. Founding member, Safety of Autonomous Systems Working Group. Programme Committee member, International Cross-Industry Safety Committee. Dr Menon has authored over 45 peer-reviewed articles and is regularly invited to speak on AI ethics and safety.

Adam PickensView profile

Associate Professor

• Occupational biomechanics
• Occupational safety
• Mobile Application Development
• +3 more

Adam Pickens serves as an Instructional Associate Professor in the Department of Environmental and Occupational Health within the Texas A&M University School of Public Health. His research and teaching integrate industrial engineering principles with public health practice to address critical workplace safety challenges through evidence-based interventions. His academic foundation includes: PhD in Industrial Engineering from Texas Tech University MPH in Environmental and Occupational Health from Texas A&M University School of Public Health Bachelor of Science in Biomedical Science from Texas A&M University Dr. Pickens' research program focuses on: Developing mobile health applications for workplace safety monitoring Implementing and evaluating sit-stand workstation interventions Improving occupational safety training methodologies Assessing biomechanical risks in manual materials handling His work demonstrates exceptional translational impact, converting engineering solutions into practical workplace safety protocols. Recent publications reveal a strategic shift toward technology-driven interventions, with increasing emphasis on software-based prompting systems and mobile health applications that address sedentary behavior in office environments. The interdisciplinary nature of his research bridges occupational health, human factors engineering, and digital health innovation, consistently targeting measurable improvements in worker safety and productivity.

• Spatial Planning
• Demographic Change
• Infrastructure Planning
• +8 more

Dr. Tatjana Fischer is a Senior Lecturer at the Institute of Spatial Planning, Environmental Planning and Land Rearrangement, part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU). Her work bridges demographic change, spatial planning policy, and social infrastructure, with a focus on aging populations, rural-urban dynamics, and accessibility. Habilitation in Spatial Research and Planning (2023) Doctoral Degree in Environmental Technology (2005) Research Interests: Infrastructure planning under demographic shifts, transdisciplinary methodologies, and accessibility in tourism and urban development Her recent publications explore residential mobility among the elderly, climate change adaptation strategies, and temporary housing solutions, reflecting her commitment to sustainable spatial frameworks. She has secured funding from the Austrian Research Promotion Agency (FFG), European Commission, and national ministries for projects addressing flood risk management, social infrastructure, and return migration patterns. Awards include the Alois Mock-Wissenschaftspreis (2024), BOKU Nachhaltigkeitspreis (2023), and multiple grants from the Austrian Federal Ministry for Science and Research. Fischer actively contributes to public discourse through presentations at global conferences on topics like disability-inclusive planning, regional resilience, and demographic trends. Key Projects: Identification and Assessment of Non-Climate Risk Drivers (2026-2028), Accessible Spaces for All (2023-2026), and Regional Resilience in Ötscher Region (2023-2025) Leadership: Project lead in 12+ research initiatives since 2009

• Corporate Communication
• Public Relations Research
• Crisis Communication
• +6 more

Univ.-Prof. Dr. Sabine Einwiller is a Professor of Public Relations Research and Director of the Institute of Journalism and Communication Studies at the University of Vienna , Faculty of Social Sciences. Her work focuses on corporate communication, crisis management, employee engagement, CSR reporting, and digital communication strategies. Professorship for Public Relations Research Institute Director Corporate Communication Research Group Her research explores corporate reputation, diversity in marketing, internal communication during crises, and ethical challenges in digital environments. Recent studies address hybrid communication forms (e.g., native advertising), DEI strategies, and employee responses to negative media coverage. She has received awards for academic excellence, including the Emerald Literati Club 2003 Highly Recommended Award , Best Faculty Paper at ICA 2023 , and Emerald Professional Impact Award . Her work bridges theory and practice through collaborations with institutions like Springer VS and Emerald Publishing. She advises on corporate communication trends, particularly in virtual work settings and social media dynamics. Her team investigates how digital technologies reshape organizational transparency and employee acceptance of communication tools.

• Computer Graphics
• Computer Vision
• Video Processing
• +4 more

Prof. Dr. Thorsten Thormählen is a University Professor for Computer Graphics and Multimedia Programming in the Department of Mathematics and Computer Science at Philipps University Marburg, Germany, a position he has held since October 2012. Prior to this, he served as Substitute Professor for Interactive Graphics Systems at the University of Tübingen (2011-2012) and led the independent research group "Image-based 3D Scene Analysis" at the Max Planck Center for Visual Computing and Communication (2007-2012). His academic background includes a PhD (Dr.-Ing.) from the University of Hannover (2000-2005), where he also worked as a full-time scientific assistant, and a Diploma in Electrical Engineering from the University of Duisburg (1994-1999). Prof. Thormählen's research centers on Visual Computing , spanning Computer Graphics , Computer Vision , Video Processing , and Human-Computer Interaction . His work pioneers tools for 3D reconstruction (e.g., Multi-View Photometric Stereo), video manipulation (e.g., MovieReshape), and multimedia processing (e.g., GSN Composer), with groundbreaking contributions to accessibility through haptic and auditory interfaces for blind 3D modelers. His lab develops practical systems that bridge theoretical computer vision with real-world applications. Analysis of his 15 most recent publications reveals a consistent focus on photometric stereo techniques for 3D reconstruction, video processing innovations, and accessibility-driven interfaces. His work increasingly emphasizes inclusive design, particularly for visually impaired users, while maintaining technical rigor in camera calibration, surface modeling, and multi-sensor fusion. At the Max Planck Center, he established and led the "Image-based 3D Scene Analysis" research group, which advanced methods for reconstructing 3D environments from video sequences. His current work at Marburg continues this trajectory, integrating computer vision, graphics, and human-centered design to solve complex problems in digital content creation and accessibility.

Lise JaillantView profile

Professor

• Digital Cultural Heritage
• Archival Science
• Artificial Intelligence in Cultural Heritage
• +4 more

Professor Lise Jaillant is a leading scholar in Digital Cultural Heritage and Archival Science at Loughborough University’s School of Social Sciences and Humanities. Her work focuses on leveraging artificial intelligence (AI) to enhance accessibility and ethical management of archives, particularly government and colonial records. She holds a PhD from the University of British Columbia and an MA from Birkbeck, University of London. Research Interests: AI applications in archives, digital cultural heritage, publishing history, and policy engagement. Grants: Over £1M from funders including AHRC, British Academy, Leverhulme Trust, and Mellon Foundation. Key Projects: LUSTRE (AI for government archives), EyCon (colonial conflict photography), and AEOLIAN (international AI collaboration). Jaillant has authored/co-edited 25+ books and articles on topics like women poets in post-1960s Britain, creative writing programs, and AI-driven archival solutions. Her work bridges disciplines, emphasizing ethical AI and cross-sector collaboration. Professional roles include editorial board memberships and global grant review panels (e.g., British Academy, Swiss National Science Foundation). Awards: British Academy Leadership Fellowship (2018–20), Rising Star Engagement Award (2017–18). Policy Impact: Cabinet Office collaborations on digital preservation and AI ethics.

• Distributed Computing
• Communications Technologies
• Electrical and Electronic Engineering
• +7 more

Professor Julie McCann is a Professor of Computer Systems in the Department of Computing at the Faculty of Engineering, Imperial College London. Her research spans multiple domains within computer science and engineering, with a particular focus on distributed systems and communications technologies. Her research interests include: Distributed Computing and Networked Systems Internet of Things (IoT) and Wireless Sensor Networks 6G Networks and Integrated Sensing and Communication Security and Privacy in Cyber-Physical Systems Machine Learning Applications for Activity Recognition Quantum-Classical Hybrid Computing Systems Professor McCann's recent work demonstrates a strong focus on practical applications of advanced networking technologies, particularly in the areas of IoT security, drone systems, and assistive technologies. Her research shows a consistent trajectory toward integrating sensing, communication, and computation in novel ways to address real-world challenges in areas ranging from healthcare to transportation. She has made significant contributions to Low-Power Wide-Area Networks (LPWAN) technologies like LoRa, with numerous publications exploring scalability, reliability, and security aspects. While specific awards are not mentioned in the available information, her extensive publication record in top venues demonstrates recognition within her fields of expertise. Professor McCann leads research that bridges theoretical computer science with practical engineering applications. Her work often involves interdisciplinary collaboration across multiple domains, including electrical engineering, computer vision, and quantum computing. She appears to focus on creating resilient, secure, and efficient systems for emerging technologies.

Tyler CribbsView profile

Visiting Assistant Professor

• Environmental Studies
• Outdoor Recreation Management
• Coastal Conservation
• +3 more

Tyler W. Cribbs is a Visiting Assistant Professor of Environmental Studies at Eckerd College. He holds a Ph.D. from Clemson University, an M.S. from Kansas State University, and a B.A. from Eckerd College. His research bridges ecological conservation and visitor experience in parks and protected areas, focusing on spatiotemporal analysis of human-nature interactions. Dr. Cribbs employs innovative methods like GPS tracking, GIS applications, and virtual reality to address management challenges in coastal environments. His work emphasizes balancing ecological preservation with recreational needs through applied social science approaches. Key research areas include visitor behavior thresholds, coastal environment interactions, and dynamic environmental-social systems. He collaborates with park professionals to develop management strategies informed by empirical data and stakeholder perspectives. Recent publications explore topics ranging from oyster mariculture stakeholder perceptions to wilderness solitude in river ecosystems. Cribbs actively involves students in his research, aligning academic inquiry with real-world conservation challenges. His research portfolio demonstrates expertise in spatial-temporal variables, visitor travel patterns, and qualitative/quantitative methods. While no specific awards are listed, his contributions highlight applied environmental science's practical impact on resource management. Advising and grant details remain unspecified in the provided text, but his educational background and interdisciplinary approach signify a strong commitment to environmental education and field-based learning.