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Aaron ElkinsView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Knowledge Management
• +3 more

Aaron Elkins serves as an Associate Professor and Director in the Management Information Systems Department within the Fowler College of Business at San Diego State University. His research bridges artificial intelligence, information systems, and social impact initiatives with a primary focus on combating human trafficking through technological solutions. His educational background includes: PhD from the University of Arizona (2011) with dissertation research on vocalic markers of deception for automated emotion detection systems BS in Information Systems from San Diego State University (2003) Elkins' research program centers on developing machine learning and knowledge management frameworks to identify human trafficking victims through analysis of online advertisements and communication patterns. His work integrates natural language processing with criminology to detect deception markers and trafficking indicators in digital content, particularly examining emoji usage and linguistic patterns in illicit online ads. This interdisciplinary approach creates practical tools for law enforcement and social service agencies operating in high-stakes environments. His 2018-2020 publications demonstrate consistent focus on AI-driven victim identification, with increasing sophistication in analyzing unstructured text data from trafficking operations. The research trajectory shows progression from emoji-based deception detection to comprehensive knowledge management systems for victim identification, reflecting growing technical depth and real-world applicability. No scientific awards were documented in the provided materials. Details regarding student advising and research funding mechanisms were not specified in the available information. He maintains active affiliation with the James Silberrad Brown Center for AI Research, where his work contributes to the center's mission of developing socially impactful artificial intelligence applications through cross-disciplinary collaboration.

Venkata Virajit GarbhapuView profile

Research Fellow

• Optical Communications
• Network Optimization
• Artificial Intelligence in Networking
• +4 more

Venkata Virajit Garbhapu (Viru) is a Research Fellow at the CONNECT Centre, Trinity College Dublin, specializing in optical networks with emphasis on physical layer optimization and cross-layer integration. Education: PhD, Institut Polytechnique de Paris (CIFRE scholar with Huawei) Laura Magistrale, Politecnico Di Milano His research focuses on maximizing network capabilities through physical layer impairment-aware frameworks, demonstrated by 52.8% training time reduction in distributed AI systems using 800G DCI links and superior failure recovery via optical circuit switching. Key contributions include per-channel power allocation algorithms balancing linear/nonlinear impairments and feasible C-band integration of classical/QKD signals through Raman noise-aware wavelength allocation. His work centers on developing sophisticated simulators enabling cross-layer optimization for functionalities like QKD and packet switching. Analysis of his 2019-2025 publications reveals a dominant trend toward AI-driven network automation, with increasing emphasis on digital twins and large language models for lifecycle management, alongside quantum-classical signal coexistence. The research consistently bridges theoretical algorithms with experimental demonstrations, showing progression from transfer learning for failure detection to advanced AI/quantum integration. No scientific awards were mentioned in available sources. His PhD was supported by a CIFRE industrial scholarship with Huawei, and he participated in the European QSNP project. No student advisement details are provided, though his BONSAI research addressed optical network failure management using transfer learning to overcome data scarcity. He operates within the CONNECT Centre ecosystem at Trinity College Dublin while maintaining active collaboration with Huawei Paris Research Center, reflecting strong industry-academia integration in optical communications research.

• Smart Buildings
• Building Energy Efficiency
• Exergy Analysis
• +7 more

Marco Molinari is a Researcher at the Department of Energy Technology within the School of Industrial Engineering and Management at KTH Royal Institute of Technology. He has been actively contributing to building energy research since completing his PhD at KTH in 2012, with previous postdoctoral experience at the ACCESS Linnaeus Centre, KTH Department of Automatic Control (2013-2016). Dr. Molinari's research focuses on smart buildings and the integration of Information and Communication Technologies in the built environment. His expertise spans energy monitoring systems, advanced control approaches for building systems, and passive techniques for low energy buildings. He has made significant contributions to exergy analysis in building systems and has been instrumental in developing the KTH Live-In Lab as a research platform. His recent publications demonstrate strong activity in digital twin applications for buildings, occupant-centric control systems, and energy efficiency analysis. The research trends show increasing focus on human-building interaction, cybersecurity aspects of smart buildings, and data-driven approaches to building control and optimization. Molinari actively participates in multiple research initiatives including the KTH Live-In Lab, Center Dig-It Lab, Digital Futures, and the Digitalized Industry working group. He has contributed to international projects such as the International Energy Agency ECBCS Annex 49 and serves on the editorial board of the International Review of Applied Sciences and Engineering. As an educator, he teaches courses in AI applications for sustainable energy engineering, heat pumping technologies, and sustainable building design. His supervision has focused on theses related to low energy buildings design, energy management, and building controls.

Kevin CurranView profile

Professor

• Cyber Security
• Computer Security
• Internet Security
• +6 more

Kevin Curran is a Professor of Cyber Security at Ulster University, serving as Executive Co-Director of the Legal Innovation Centre and group leader for the Cybersecurity & Web technologies Research Group. He joined the School of Computing and Intelligent Systems in 1999 and has established himself as a leading expert in cyber security with over 800 published works. His academic home is within the School of Computing, Engineering and Intelligent Systems at Ulster University's Magee Campus in Derry~Londonderry. Professor Curran's research interests span multiple domains within cyber security, with particular expertise in location positioning within indoor environments, Internet security, and the intersection of legal technology with cybersecurity. His recent work demonstrates a strategic expansion into AI-driven security solutions, blockchain applications, and IoT security frameworks. His research shows a clear evolution from foundational networking research to contemporary applications addressing legal technology challenges and emerging security threats in connected environments. His scholarly output reveals significant trends toward interdisciplinary research, particularly at the intersection of cyber security and legal technology. Recent publications focus on applying machine learning and AI techniques to legal document classification, blockchain security for autonomous vehicles, and generative AI applications in cyber defense. His work consistently addresses practical security challenges while maintaining strong theoretical foundations. Engineering and Technology Board Visiting Lectureship for Exceptional Engineers IEEE Technical Expert for Internet/Security matters since 2008 Member of the EPSRC Peer Review College Recipient of various patents in security technologies Founding Editor in Chief of the International Journal of Ambient Computing and Intelligence Professor Curran has successfully secured and managed numerous UK and European Framework projects and Technology Transfer Schemes throughout his career. He serves as Co-Investigator on several major research projects including the Baker McKenzie Research Project (2017-2026), LFR: Legal Futures Research (2016-2026), and the Ulster Centre for Legal Innovation (2016-2026). His research group actively collaborates with industry partners and legal professionals to address real-world cybersecurity challenges. The Cybersecurity & Web technologies Research Group under his leadership focuses on practical security solutions while maintaining strong theoretical foundations. As Executive Co-Director of the Legal Innovation Centre, Professor Curran bridges the gap between legal practice and technological innovation, particularly in the realm of cybersecurity applications for legal services. His team works on developing secure platforms for legal document processing, blockchain applications for contract management, and AI-driven tools for legal professionals while maintaining rigorous security standards.

Dewar FinlayView profile

Professor

• Healthcare Technology
• Artificial Intelligence
• Digital Signal Processing
• +5 more

Dewar Finlay is a Professor of Electronic Systems and Head of the School of Engineering at Ulster University . He previously served as Research Director for the School of Engineering and Interim Associate Dean for Research & Impact within the Faculty of Computing, Engineering and the Built Environment. His work bridges healthcare technology and computational engineering. Education: BEng in Electronic Systems, Ulster University PhD in Computing, Ulster University Research Interests: His research focuses on healthcare technology with emphasis on computerised ECG analysis and deep learning applications in cardiology . He explores AI-driven diagnostics , signal processing , and medical device validation through projects like DTNet+ Digital Twin Network and IoT-Driven Cybersecurity Framework for Intrusion Detection in Drones . Scientific Awards: Best Poster (2024) - Calibrated Uncertainty AI in ECG Analysis Early Career Investigators Award (2022) - British Society for Heart Failure Grants & Collaborations: He has secured funding from EU Horizon 2020 , RCUK , DEL , and InvestNI . Current projects include AI-assisted echocardiography for congenital heart defects in Sub-Saharan Africa and federated learning frameworks for cardiac healthcare.

Manuela WimmerView profile

Professor

• Environmental Engineering
• Sustainable Water Systems
• Project Management in Water Management
• +2 more

Prof. Dr. Manuela Wimmer serves as Professor of Environmental Engineering at Hof University of Applied Sciences within the Faculty of Engineering Sciences. She leads the research group "Sustainability and Project Management in Water Management" at the Institute for Sustainable Water Systems (inwa) and heads the "Sustainable Water Management and Engineering" study program. Previously, she directed the Institute for Water and Energy Management (iwe) from 2015 to 2020 before its integration into inwa. Her research bridges environmental engineering and digital innovation in water systems, focusing on smart water infrastructure, sustainability frameworks, and project management methodologies. Key investigations include IoT applications for groundwater protection, data-driven decision systems in water supply, and risk assessment of digital transformation in municipal utilities. She examines how technologies like AI and sensor networks enhance resource efficiency while addressing cybersecurity and regulatory challenges. Publications reveal a consistent emphasis on practical implementation of digitalization in Germany's water sector, with the SmaDiWa study establishing benchmarks for technological adoption. Her work identifies critical gaps between theoretical potential and operational realities, particularly regarding legacy infrastructure integration and workforce reskilling. Prof. Wimmer actively supervises student research in environmental engineering and project management, guiding theses on nanofiltration systems, wastewater optimization, solar-powered purification, and digital project tools. She facilitates industry collaborations where students address real-world challenges like industrial water recycling and smart grid integration. She directs the inwa research group focused on sustainable water project lifecycle management and participates in strategic water initiatives through the Bavarian Environmental Cluster and DVGW.

Thomas ClaußView profile

Professor

• Innovation Management
• Digital Transformation
• Family Business Dynamics
• +5 more

Thomas Clauß is Professor and WIFU Endowed Chair for Corporate Entrepreneurship and Digitalization in Family Businesses at the University of Witten/Herdecke's Faculty of Business and Society. He serves as Vice Dean for Research and Adjunct Professor for Business Model Innovation at the University of Southern Denmark. Education Diplom in Wirtschaftsingenieurwesen (summa cum laude), University of Kassel (2008) Dr. rer. pol., University of Hamburg (2012) Postdoctoral habilitation-equivalent evaluation (2016) Research Focus His work examines digital transformation, business model innovation, and sustainability in SMEs and family businesses. Current projects analyze AI adoption, cybersecurity challenges, and startup collaboration in family firms, while his book projects address family businesses and UN Sustainable Development Goals. Award Highlights 2024: IEEE TEM Best Publication Award 2023: Schulze Publication Award 2022: Best Paper on IFERA Conference Theme 2017: Best Young Researcher Award Academic Leadership He co-edits the International Journal of Entrepreneurial Behavior and Research , contributes to editorial boards, and organizes R&D Management conference sessions on SME innovation dilemmas. His teaching includes Digital Transformation of Organizations, Business Model Innovation, and Strategic Entrepreneurship at multiple institutions.

Gianluca SalviottiView profile

Associate Professor

• Digital Transformation
• Information Systems
• Cyber Risk Governance
• +5 more

Gianluca Salviotti is an Associate Professor at SDA Bocconi School of Management, where he teaches Digital Transformation, Digital Innovation, and Cyber Risk Governance. He serves as Information Systems Faculty Deputy since 2018 and contributes to Bocconi University's Cyber Risk curriculum. As co-founder of the DEVO Lab, he collaborates with over 40 organizations on digital governance strategies and works with MIT's CSAIL to study technological clusters' business impacts. Education: Bachelor's in Business Administration, University of Pavia Ph.D. in Business Administration, University of Pavia International Teachers Program (ITP), CEIBS Shanghai-Beijing (2016) Research Focus: Gianluca investigates high-impact digital technologies, corporate complexity in IT governance, and cybersecurity. His work bridges practical applications (e.g., blockchain, AI) with strategic management, emphasizing technology scouting and business resilience. He has published in journals like MIS Quarterly Executive and authored books on blockchain and post-digital enterprises. Scientific Awards: Excellence in Innovative Teaching (Bocconi University, 2021, 2023) Google Faculty Research Award (2014) Best Innovation Project (Claudio Demattè Research Division, 2013) MIS Quarterly Executive Teaching Awards (2015-2016) Bocconi Research Awards (2011-2012) Grants & Programs: Gianluca has directed executive programs like "IT Risk Management" and "Actionable Digital Innovation" for global audiences. He advises Italian and international corporations on digital strategies and sits on Italy's AI Commission for media sector impacts.

Yuzhu LiView profile

Professor

• Digital Transformation
• Blockchain
• No-code/Low-code Development
• +7 more

Dr. Yuzhu Li is a Professor at the Department of Decision & Information Sciences , Charlton College of Business , University of Massachusetts Dartmouth . Her expertise spans Digital Transformation , Blockchain , Information Systems Development , and Project Management . She teaches courses in Customer Analytics , Business Analytics , and Agile Development , emphasizing CRM strategies , Data Mining , and Information Visualization . PhD in Business Administration, University of Central Florida (2008) Master of Technology Management , Washington State University (2002) BA in Information Systems , Nankai University (1999) Her research focuses on Emerging Technologies like blockchain and AI, Behavioral Project Management , and E-commerce frameworks. Key themes include Team Resilience , Control Systems in Interorganizational Teams , and Digital System Security , with recent articles analyzing Bitcoin vulnerabilities and collaborative project governance. Dr. Li serves as Treasurer of the New England Association of Information Systems Chapter, an Editorial Review Board Member of the Project Management Journal, and Associate Editor of the Nankai Business Review International. She actively contributes to the academic community through roles in international conferences and editorial committees.

Antonio PietrabissaView profile

Associate Professor

• Networked Systems
• Time-delay Systems
• Non-cooperative Control
• +4 more

Antonio Pietrabissa is an Associate Professor at the Department of Computer, Control, and Management Engineering “Antonio Ruberti” (DIAG) of the University of Rome Sapienza, where he earned his degree in Electronics Engineering (2000) and PhD in Systems Engineering (2004). He has been teaching Automatic Control and Process Automation since 2010 and holds the National Scientific Qualification as Full Professor in Systems and Control Engineering (09/G1). Research interests include networked systems, robust control, Markov decision processes, and deep reinforcement learning. His work spans telecommunications, biomedical applications, and space systems, with a focus on federated learning and decentralized control. He has authored ~70 journal papers (Scopus h-index 22) and co-invented a patent for model predictive control in motor disability assistance. Awards include the 2021 Cybersecurity Award and ETRI Journal Best Paper. Current projects are NANCY (6G networks) and CADUCEO (AI-driven medical diagnostics). He is also CEO of Sapienza startup Automation Intelligence and Control (AICO), commercializing AI solutions for space, telecom, and biomedical sectors.

• Wireless Networks
• Internet of Things (IoT)
• Network Protocols
• +9 more

Fabrizio Giuliano is a Researcher at the University of Palermo in the School of Mathematics and Computer Science , focusing on Wireless Networks , Internet of Things (IoT) , and Network Protocols . His academic activities include teaching courses like Computer Networks , Internet of Things , and IoT and Cloud Security to students in Informatics, Biomedical Engineering, and Cyber-Physical Systems programs. Research Interests : Giuliano's work spans Wireless communication (LoRaWAN, Sigfox, WiFi, ZigBee) Smart water distribution systems and energy-autonomous IoT Interference detection and cross-technology coexistence 5G network infrastructure Augmented Reality for accessibility Privacy-preserving smart grid systems Publication Trends : His recent articles (2025–2023) focus on AI integration in IoT testbeds Scalable water distribution monitoring Information-theoretic analysis of fNIRS signals Interference mitigation in LPWANs Context-aware 5G architectures Hybrid VLC/WiFi networks Academic Contributions : Giuliano has edited theses on fNIRS signal analysis and IoT-integrated biosensors , reflecting his interest in biomedical applications of wireless systems.

• Telecommunications
• Network Resilience
• Optical Fiber Sensing
• +5 more

Haakon Bryhni is a Research Professor at Simula Research Laboratory's Center for Resilient Networks and Applications, focusing on telecommunications infrastructure and network resilience. His work spans optical fiber sensing, Cloud-RAN architecture, 5G networks, and network security. Expertise in telecommunications and network infrastructure Contributions to optical fiber sensing and AI-driven network outage classification Active in public outreach and policy analysis for ICT resilience Recent research explores Sagnac loop sensing systems , Cloud-RAN integration , and cybersecurity preparedness in Norway. Collaborations include international conferences and publications in Optics & Laser Technology , Sensors , and IEEE journals. Contact: haakonbryhni@simula.no

• Education
• Lesson Development
• Classroom Management
• +8 more

Hiroyuki Tanaka is a Professor at Waseda University's Faculty of Education and Integrated Arts and Sciences since 2009, with prior roles at Osaka Kyoiku University (1994–2009). His research focuses on education, curriculum development, classroom management, active learning, AI integration in pedagogy, and moral education innovations. He has led 15+ JSPS-funded projects, including AI-driven inquiry learning models and classroom competency frameworks. Education: Master of Arts (Osaka University) Key affiliations: Waseda University, Japan Society of Educational Technology Research interests include AI applications in education , self-development learning models , and multimedia-based teaching . Notable trends in his publications involve cross-disciplinary inquiry-based learning , generative AI tools , and ethical digital practices for K-12 education. Books and manuals like "Theory and Practice of Moral Education Lesson" (2025) and "Useful in the classroom! How to use ChatGPT for teachers" (2024) highlight his work bridging technology with traditional pedagogy. His grants from Japan Society for the Promotion of Science focus on curriculum innovation and classroom competency systems .

Abhishta AbhishtaView profile

Assistant Professor

• Cybersecurity
• Security Economics
• Finance & Behavior
• +9 more

Abhishta Abhishta is an Assistant Professor at the University of Twente's Industrial Engineering & Business Information Systems group. His research focuses on cybersecurity economics, particularly measuring financial impacts of cyberattacks and improving organizational security investments through data-driven methods. Key research areas: Cybersecurity Economics, Digital Sovereignty, Behavioral Data Science Active in security analytics, ransomware studies, and trust mechanisms in predictive systems Contributions to EU policy analysis, DDoS defense, and cloud security risk frameworks Recent publications explore ransomware economics, dark web communication patterns, and digital sovereignty through EU legal documents. He combines technical cybersecurity analysis with behavioral science and economic modeling. Media expert on botnet business models and cybercrime economics Collaborates with industry on security decision-making Contributor to neuroscience-enhanced marketing research

• Artificial Intelligence
• Law
• Sustainable Development
• +7 more

Imad Ibrahim is an Assistant Professor in the Department of Governance and Technology for Sustainability, with expertise spanning Artificial Intelligence, Law, Sustainable Development, and Transboundary Water Management. His work aligns with UN Sustainable Development Goals (SDGs), particularly SDG 16, SDG 6, and SDG 7, focusing on the intersection of technology, governance, and environmental justice. Research Themes: AI governance, international water law, energy systems, blockchain policy, and climate change. Recent Outputs: 2025 publications address AI’s role in SDGs, smart cities, and transboundary water agreements, while 2024 works explore AI regulation, telematics, and data-driven legal frameworks. Keywords: Law, Social Sciences, Artificial Intelligence, Energy, Environment, and SDG-aligned governance. His scholarly contributions emphasize ethical AI, legal frameworks for emerging technologies, and sustainable resource management in transboundary contexts, with a notable focus on the Arab world and Central Asia. Collaborative works in 2025 examine energy justice and civic AI applications in urban transport.