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Ayan Ghosh DastidarView profile

Assistant Professor

• Quantitative Marketing Strategy
• Digital Marketing
• Social Media Marketing
• +6 more

Ayan Ghosh Dastidar is an Assistant Professor at the School of Business , Clark University. His research focuses on Quantitative Marketing Strategy , particularly leveraging digital and social media marketing for B2B engagement, healthcare, and societal impact. He holds a Ph.D. in Marketing (Georgia State University, 2022), an M.S. in Applied Statistics & Informatics (IIT Bombay, 2012), and a B.S. in Statistics (St. Xavier’s College, 2010). Prior to academia, he worked as a Data Scientist at HSBC. Education: Ph.D. in Marketing, Georgia State University, 2022 M.S. in Applied Statistics & Informatics, Indian Institute of Technology Bombay, 2012 B.S. in Statistics, St. Xavier’s College (Kolkata), 2010 Research Interests: Ayan combines econometric modeling and machine learning to study marketing’s societal spillovers, such as TV advertising’s role in public health crises and B2B engagement via LinkedIn. His work emphasizes advancing social good through strategic marketing. Key Themes in Articles: Recent studies explore B2B customer engagement via LinkedIn content strategies, TV advertising’s impact on social distancing during pandemics, and longitudinal analyses of brand personality effects. Earlier work includes customer-centric frameworks for habit-driven marketing. Awards & Grants: Best Doctoral Fellow Research Proposal (Marketing Strategy Consortium 2020) Clyde Kitchens/Thoben Elrod Research Grant (Georgia State U) GTA Teaching Excellence Award (Robinson College of Business) Nominated for AMA-Sheth Doctoral Consortium Teaching & Advising: Recognized for teaching excellence, Ayan advises doctoral students on marketing analytics and social impact research. His grants include support from Georgia State University’s doctoral programs.

Giorgia ChinazzoView profile

Assistant Professor

• Sustainable Building Design
• Indoor Environmental Quality
• Data Science Applications in Architecture
• +5 more

Giorgia Chinazzo is an Assistant Professor of Civil and Environmental Engineering at Northwestern University, leading the Architectural Engineering and Design Program. She holds a PhD in Building Science from EPFL and dual master's degrees from Politecnico di Milano and Politecnico di Torino. Her research integrates engineering, architecture, data science, and health sciences to create sustainable, human-centric buildings that enhance occupant well-being while reducing environmental impact. Key focuses include thermal comfort, indoor environmental quality, and smart technologies. Education: PhD in Building Science, Swiss Federal Institute of Technology in Lausanne (EPFL) MSc in Architectural Engineering, Politecnico di Milano (Double Degree) MSc & BSc in Architectural Engineering, Politecnico di Torino Research Interests: Multi-domain human-building interactions Climate-resilient building design Data-driven occupant feedback analysis Thermal comfort innovations Wearable sensor technologies Her work emphasizes bridging lab studies and real-world applications through living laboratories, advancing methodologies for sustainable building practices. Courses taught include Building Science fundamentals and professional development seminars.

• Socio-Technical Software Engineering
• Developer Attitudes
• Automation in Software Engineering
• +3 more

Dr. Emily Winter is a Lecturer in Computing and Communications at Lancaster University, part of the School of Computing and Communications (SCC) since 2018. Her research focuses on socio-technical aspects of software engineering, including developer attitudes toward automation, human values in SE, and diversity in computing education. She holds a PhD in Sociology from Lancaster University, an MA in Sociological Research, and a BA in History. Emily has contributed to projects like the Fixie Project (investigating developer attitudes to automated tools) and the Values in Computing initiative. She is a Fellow of AdvanceHE and has received an ESRC 1+3 award for her postgraduate studies. Her external roles include serving as a Reviewer for Information and Software Technology , Workshop Chair for the International Workshop on Genetic Improvement (2022), and Program Committee member for several conferences. Emily teaches the SCC 130 module and actively engages in research addressing gender dynamics in CS education and ethical software design. Key research interests include qualitative methods in SE, developer-centric tool design, and fostering inclusive educational environments. Her work bridges social sciences and computing, emphasizing empirical studies of human-computer interaction in software development. Emily has published widely on topics like automatic program repair, SAST tool usage, and gender representation in CS. Her awards reflect her commitment to pedagogical innovation and social science contributions to computing. She is affiliated with the Security Lancaster research group and is based at InfoLab21.

• Artificial Intelligence
• Information Systems
• Blockchain Technology
• +3 more

Oliver Hinz is a prominent researcher in the field of information systems and digital technologies, focusing on areas such as artificial intelligence ethics, blockchain applications, cybersecurity, and digital responsibility. His work bridges technical innovation with societal impact, addressing challenges in corporate governance, healthcare informatics, and user-centric technology design. Research interests: AI governance, blockchain tokenization, digital democracy, and ethical technology adoption Co-authored over 160 publications in leading journals like Information Systems Research and MIS Quarterly Key collaborations with institutions like TU Munich and Tilburg University Recent work emphasizes explainable AI frameworks, disaster management through social media analytics, and the socio-economic implications of digital platforms.

• Medical Informatics
• Public Health Surveillance
• Patient Matching
• +5 more

Shaun J. Grannis is a leading Research Professor at the Regenstrief Institute and Indiana University School of Medicine , specializing in Medical Informatics . His work focuses on patient matching, health data interoperability, and public health surveillance. Research Interests : Patient identification strategies, privacy-preserving record linkage, synthetic data generation, and leveraging health information exchanges (HIE) for population health analytics. Articles : Over 86 publications (2002-2025) addressing real-time disease detection, data quality metrics, and EHR interoperability. Key trends include syndromic surveillance , social determinants of health , and machine learning in clinical data . Awards : Recognized for groundbreaking work in public health informatics and synthetic data applications. Collaborations : Frequent partnerships with institutions like AMIA , JAMIA , and BMC Medical Informatics on projects enhancing healthcare data systems. Grants : Involved in NIH-funded initiatives for national patient-centered research networks.

• Scientific Visualization
• Data Analysis
• Medical Applications
• +6 more

Ingrid Hotz is a Professor in Scientific Visualization at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Center for Medical Image Science and Visualization (CMIV). She holds a Master's in Theoretical Physics from Ludwig Maximilian University (Munich) and a PhD in Computer Science from the University of Kaiserslautern. Her research focuses on data analysis and scientific visualization, spanning applications in fluid dynamics, medical imaging, and large-scale simulations. She has led research groups at the Zuse Institute Berlin (2006–2013) and the German Aerospace Center (DLR, 2013–2015). Her work integrates methods from computer graphics, computational geometry, and topology. Key research areas include multi-field visualization, topological data analysis, and scalable systems for ocean data exploration. She has contributed to software tools like VIAMD and pyParaOcean. Notable collaborations include material science research (e.g., beryllonitrene synthesis) and large-scale conference organization (Eurographics 2020, attracting 23,000 participants). Her research bridges theoretical foundations with practical applications in medicine, engineering, and environmental science. Publications highlight advancements in visualization techniques for molecular dynamics, medical imaging, and climate modeling. She actively participates in interdisciplinary projects, such as predicting liver steatosis dynamics and developing frameworks for analyzing brain activity via fMRI data. Her work emphasizes bridging gaps between computational methods and real-world scientific challenges.

Claes LundströmView profile

Adjunct Professor

• Medical Imaging
• Artificial Intelligence
• Digital Pathology
• +4 more

Claes Lundström is an Adjunct Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Media and Information Technology (MIT) school. His primary research focuses on medical imaging, integrating machine learning, visualization, and human-computer interaction in clinical settings. He leads the technical side of digital pathology research at the Center for Medical Image Science and Visualization (CMIV), directing national-scale grants and serving as Arena Director for the Analytic Imaging Diagnostics Arena (AIDA). Since 2010, he has held dual roles as Research Director at Sectra AB and academic researcher, driving innovations that translate into commercial healthcare solutions. Lundström's work spans AI-driven diagnostics, uncertainty visualization, and precision orthopedics, with contributions recognized through leadership in major projects like the €70M BIGPICTURE initiative. His academic credentials include a PhD (2007) and Docent degree (2014), alongside extensive industry collaboration. Education: PhD in 2007 and Docent degree in 2014 from Linköping University. PhD: 2007 Docent: 2014 Research interests emphasize AI integration in diagnostics, particularly digital pathology and medical imaging workflows. His work addresses challenges like domain adaptation in AI models, uncertainty quantification in segmentation tasks, and interactive visualization tools for clinicians. Recent projects include the VAI-B platform for AI validation in breast imaging and the BigPICTURE collaboration for global pathology data sharing. Key grants include leadership roles in national-scale projects, such as the AIDA arena and SCAPIS study-based AI lab. His contributions to AI ethics and clinical adoption include studies on human-AI collaboration and quality assurance frameworks. Lundström also oversees labs like CMIV and AIDA, fostering cross-disciplinary research in medical imaging and AI.

Yan LengView profile

Assistant Professor

• Interpretable Machine/Deep Learning on Networks
• Network Spillovers and Dynamics
• Human-Centric Interpretability in Generative AI
• +3 more

Yan Leng is an Assistant Professor at the McCombs School of Business, University of Texas at Austin, with a courtesy appointment at the School of Information. He is a core member of the UT Machine Learning Lab and affiliated with MIT Media Lab. His PhD from MIT Media Lab (2020) and dual Master's degrees in Computer Science and Transportation Engineering (MIT) underpin his research in interpretable AI, network dynamics, and human-centric machine learning. Education: PhD, MIT Media Lab (2020) Dual Master's in Computer Science & Transportation Engineering, MIT Research focuses on interpretable machine learning for networks, generative AI ethics, and network spillover dynamics. His work bridges computer science, economics, and social sciences, with grants from NIH, NSF, and industry partnerships. Notable achievements include a $1M NIH grant for mental health AI tools and multiple best paper awards at INFORMS conferences. Award-winning educator, recognized with the Trammell/CBA Teaching Award and McCombs BBA Honor Roll. Active in grant-funded projects addressing AI fairness, urban mobility, and behavioral economics.

Joseph AmsiliView profile

Researcher

• Soil Health
• Soil Carbon Dynamics
• Sustainable Soil Management
• +3 more

Joseph Amsili is a Senior Extension Associate and Program Director for the New York Soil Health Program at Cornell University's School of Integrative Plant Science, Department of Soil and Crop Sciences. His work focuses on advancing soil health through applied research, extension initiatives, and farmer engagement. Key roles include leading the Soil Health and Climate Resiliency Field Day series and the NY Soil Health Specialist Training Series. He developed the Production Environment Soil Health Benchmarks, adopted by NY State to align with the Soil Health and Climate Resiliency Act. His research emphasizes soil carbon dynamics, sustainable soil management, and cover crop impacts. Education: Ph.D. in Soil Science (Cornell University, 2024), M.S. in Soil Science with a Biogeochemistry minor (Penn State, 2018), B.S. in Earth Systems with a Soil Science minor (Cornell, 2013). Research interests include soil health assessment protocols, carbon sequestration, cover crop root traits, and agroecosystem resilience. He collaborates with institutions like Cornell AgriTech and the Lake Erie Research & Extension Lab, contributing to case studies like the Betts Farm cover cropping initiative. His work bridges academic research with practical applications to enhance agricultural sustainability and climate resilience.

Lan WangView profile

Professor

• Internet Architecture
• Network Security
• Wireless Sensor Networks
• +7 more

Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.

Jessica KorteView profile

Research Fellow

• Human-Computer Interaction
• Machine Learning
• Participatory Design
• +3 more

Dr. Jessica Korte is an Honorary Senior Research Fellow at the University of Queensland's School of Electrical Engineering and Computer Science. Her research focuses on inclusive technology design, particularly involving marginalized groups like Deaf communities. She leads the Auslan Communication Technologies Pipeline project, an AI-based system for Auslan signing, supported by a TAS DCRC Fellowship. Her work emphasizes participatory design with children and minority groups, including international workshops and distributed design methodologies. Her academic background includes a PhD in Human-Centered Computing (2017) and an Honours thesis on requirements prototyping with Deaf children (2012). Key research areas span Human-Computer Interaction, Machine Learning, and accessibility technologies. Recent projects include Zelda Smart Home prototypes and collaborative efforts like the World's Most Inclusive Distributed Participatory Design Project. Dr. Korte actively recruits research students interested in Auslan context technologies, such as machine learning, video GANs, and procedural animation. She has published extensively in venues like the International Journal of Child-Computer Interaction and CHI Conference series, addressing topics ranging from sign language recognition to ethical design considerations. Key Achievements: 2024 TAS DCRC Fellowship, global participatory design leadership, over 30 conference publications Grants & Awards: TAS DCRC Fellowship, ARC CoEDL funding Labs/Teams: Auslan Communication Technologies Pipeline, Zelda Smart Home Project, Distributed Participatory Design Network

Armando Walter ColomboView profile

Professor

• Cyber-Physical Systems
• Industrial Digitalization
• Industry 4.0
• +3 more

Prof. Dr. Armando Walter Colombo is a Professor at the Department of Technology, Electrical Engineering and Informatics at the University of Applied Sciences Emden/Leer. He leads the Institute I2AR as Scientific Director and coordinates the DAAD/DAHZ Binational Master in Industrial Informatics with the Universidad Tecnológica Nacional-FRRe in Argentina. His research focuses on Cyber-Physical Systems (CPS), Industrial Digitalization, Industry 4.0, and Smart Manufacturing. Key areas include asset administration shells, IoT integration, and sustainable industrial automation. He holds IEEE Fellow status and is a Distinguished Lecturer for the IEEE Systems Council. He has pioneered educational frameworks like T-CHAT and contributed to standards alignment (RAMI4.0, IEEE Industrial Agents). Recent publications emphasize Industry 4.0 compliance, digital twins, and AI in logistics. Responsibilities: DAAD Master Coordinator, Institute I2AR Director, and International Relations Officer. Awards: IEEE Fellow, Distinguished Lecturer (IEEE Systems Council). Grants & Partnerships: DAAD-funded binational programs, EU-funded PERFoRM projects. His work bridges academia and industry through platforms like the ICPS-based Digital Factory Lab, addressing SME digitalization and sustainable automation.

• Computer and Network Security
• Computer Networking
• Network Modeling and Performance Evaluation
• +4 more

Cliff C. Zou is a Professor at the Department of Computer Science, University of Central Florida (UCF), and Program Coordinator for Master's degrees in Digital Forensics and Cyber Security and Privacy. He serves as a UCF Cybersecurity and Privacy Cluster member, Point-of-Contact for UCF CAE-CD/CAE-R designations, and leads the Data Systems Group. With a Ph.D. from University of Massachusetts, Amherst (2005), and B.S./M.S. from USTC, he has received numerous awards including the UCF-TIP Award (2013, 2024), Best Paper Awards, and Fellowships. Ph.D., Electrical & Computer Engineering, University of Massachusetts, Amherst (2005) M.S., Automation, University of Science & Technology of China (USTC) (1999) B.S., Automation, USTC (1996) His research spans Computer and Network Security , IoT Security , Blockchain Systems , Wireless Network Security , and Malware Analysis . Recent work focuses on adversarial machine learning, side-channel attacks, encrypted traffic classification, and secure IoT architectures. His publications (2025-2020) highlight trends in deep learning-based defense , WiFi fingerprinting , TrustZone security , and malware propagation . Scientific Awards: UCF Teaching Incentive Program (TIP) Award (2024, 2013) Best Paper Award (2023) Best Student Paper Award (ACSAC 2007) Guo Moruo Scholarship (USTC, 1996) Graduate Fellowships (University of Massachusetts, 1999-2001) Prof. Zou has advised 14 PhD graduates and numerous Master's/BS students, many now holding academic/industry roles. His funded projects include NSF grants (DGE-2325452, DGE-2042996, DGE-1723587, DGE-1915780), US Army PEO STRI collaborations, and Florida Center for Cybersecurity seed grants. He leads the cyberforensic.net educational platform and has contributed to free IoT security labs for professionals.

Bruna PetrecaView profile

Professor

• Circular Economy
• Materials Science
• Human-Centered Design
• +3 more

Dr. Bruna Petreca is a Professor and Reader in Human Experience and Materials at the Royal College of Art's Materials Science Research Centre. She specializes in integrating human experience into materials development, focusing on circular economy, digital environments, and health/wellbeing. Her research leads projects like the UKRI Textiles Circularity Centre and EPSRC Dematerialisation initiatives, emphasizing sustainable fashion, consumer behavior, and digital tools. Educated at the University of São Paulo (BA in Fashion/Textiles) and the RCA (PhD in Design Products), she has a postdoctoral background at TU Delft. Awards include 2013 Human Centred Design prizes and recognition for her work on material experience frameworks. She collaborates internationally, chairs research ethics at RCA, and co-leads projects on AI design tools and circular fashion. Her teaching spans undergraduate/postgraduate levels, emphasizing materials science, human-centered design, and sustainable practices. Education: PhD (RCA), Postdoc (TU Delft), BA (USP) Key Projects: Textiles Circularity Centre (UKRI), Consumer Experience Digital Tools (EPSRC), Brazil-UK Natural Polymers Network Awards: Best Concept/Human Centred Design (2013), Best Poster Presentation (2013) Research Themes: Circular fashion, material experience frameworks, embodied design, AR tools for sustainability

António Palma Dos ReisView profile

Professor

• Digital Transformation
• Information Systems
• Robotic Process Automation (RPA)
• +7 more

António Palma Dos Reis is a Professor at the ISEG School of Economics and Management at the University of Lisbon, specializing in Management Science and Information Systems. He holds a PhD in Management Science from the University of Wisconsin-Milwaukee (1996), along with MS (1993) and BS (1989) degrees in Management and Information Systems. His professional roles include leadership positions such as Dean and President of the ADVANCE research unit. His research focuses on digital transformation, robotic process automation (RPA), blockchain applications, and technology adoption in organizations. Notable studies include analyzing RPA's value for enterprises and blockchain's role in online gambling. He has advised over 30 master’s students on topics like cloud security, RPA implementation, and AI-driven decision systems. Reis has served on the scientific council of the Open University of Lisbon and contributed to institutional governance as a member of ISEG’s Senate. His work bridges theoretical frameworks (e.g., TOE model) with practical applications in procurement systems, mobile business, and financial decision-making. His publications span 30+ years, covering strategic performance analysis, e-procurement systems, and collaborative decision-making. Current research emphasizes organizational ambidexterity and post-AI societal impacts, reflecting a dual focus on technological innovation and managerial strategy.