Evangelos Ntentos is a researcher affiliated with the Faculty of Computer Science and the Software Architecture Research Group . He holds a Dr.techn. (PhD in Engineering) and degrees in BSc and MSc. His research focuses on software architecture, microservice systems, cloud applications, security practices in infrastructure, and reinforcement learning architectures. He actively contributes to conferences and peer-reviewed journals, with recent publications addressing MLOps quality assessment, security in infrastructure-as-code, and decision-making in reinforcement learning systems. He received the Best Paper Award in 2019 for work on data management and microservice architecture. Ntentos has presented at international conferences, including talks on cyber-physical system architectures and coupling-related architecture smells in 2023–2024. His research emphasizes practical applications of architectural design decisions, continuous delivery, and security best practices in modern software systems.
Yuanchao Xu is an Assistant Professor in the Department of Computer Science and Engineering at the University of California Santa Cruz. He earned his Ph.D. from North Carolina State University, advised by Dr. Xipeng Shen and Dr. Yan Solihin, and is a student researcher at SystemResearch@Google since 2021. His research spans computer architecture, security, and ML systems.
Peter Desnoyers is an Associate Professor at the Khoury College of Computer Sciences at Northeastern University and an Affiliated Faculty member in the Department of Electrical and Computer Engineering . He co-leads the Mass Open Cloud initiative, focusing on hybrid cloud systems combining multiple tenants and providers. PhD, University of Massachusetts Amherst (2003-2008) SB and SM, MIT (1982-1988) His research spans data storage systems , cloud computing , object storage and caching , and SMR translation layers . Recent work includes hybrid caching mechanisms, flash storage optimization, and secure multi-provider cloud environments. Publications highlight trends in distributed storage, translation layer frameworks, and non-intrusive software introspection. Scientific awards include a $1.55M NSF Grant (2019) for cloud technologies innovation. His advisees include Mohammad Hossein Hajkazemi and Mania Abdi , with collaborations across institutions like MIT, Boston University, and University of Massachusetts Amherst.
Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.
Andreas Oberweis is a Professor at the Karlsruhe Institute of Technology (KIT), Germany, with a distinguished career in business process management, information systems, and process modeling. His work spans interdisciplinary collaborations, focusing on integrating formal methods like Petri nets with practical applications in digital identity, privacy, and educational technology. Key research areas include Business Process Management, Information Systems, Petri Net Modeling, Semantic Web, and Process Mining. He has contributed to methodologies like MEUSec for enhancing user experience and security in digital identity wallets, and frameworks for automated assessment of modeling competencies. Publications highlight innovations in process model similarity, social network coordination, and 3D business process visualization. His recent work emphasizes user-centric security and multimodal mobility optimization. Collaborations involve institutions like KIT, University of Rome, and Queensland University of Technology, with co-authors such as Peter Loos, Ralf Reussner, and Agnes Koschmider. He has developed tools like INCOME2010 for process-oriented systems and contributed to open models for enterprise systems. Despite no explicit awards listed, his 18+ years of continuous publication in top venues (BPM, EMISA, Modellierung) underscore his academic impact.
Dessislava Georgieva Petrova-Antonova is a Professor at Sofia University's Faculty of Mathematics and Informatics , specializing in the Department of Software Technologies . Her work focuses on service-oriented architectures, web services, and big data systems for smart cities. She holds a PhD in Software Technologies from Technical University of Sofia (2007) and an MSc in Computer Systems and Control (2000). PhD: Technical University of Sofia, Faculty of Computer Systems and Control (2007) MSc: Technical University of Sofia, Faculty of Computer Systems and Control (2000) Research Interests: She pioneers methodologies for testing web service compositions (e.g., TASSA ), develops big data platforms for smart governance, and explores digital twin modeling for urban environments. Her projects integrate IoT, quality of service (QoS) frameworks, and data-driven policy tools. Projects: Leads initiatives like National CogniTwin (National Science Fund, 2019–2022) and Big4Smart (NSF, 2017–2020). Collaborates in EU programs such as Digital Twin Cities Centre (2020–2025) and People Network+ (FP7, 2012–2013). Labs & Collaborations: Affiliated with the GATE Center of Excellence and contributes to international teams in big data and smart city research. Her work bridges academia and industry through tools like TESSI (Web Service Testing Tool) and faultInjector (BPEL Fault Injection Tool).
Patrick Hirsch is an Associate Professor at the Institute of Production and Logistics , part of the Department of Economics and Social Sciences at the University of Natural Resources and Life Sciences, Vienna . He serves as Head of the Institute of Production and Logistics since 2025 and has coordinated doctoral programs in Social and Economic Sciences since 2017. His research focuses on Sustainable Logistics, Operations Research, and Disaster Management , with specializations in Health Care Logistics Humanitarian Supply Chains Urban Mobility Food Security Cybersecurity in Logistics Green Logistics Recent publications highlight his work in 2025-2023 on: Cloud Resource Optimization Disaster Response Logistics Container Terminal Storage Cyberattack Resilience Home Health Care Scheduling His team also explores deep learning for cargo inspection and hybrid simulation modeling for pandemic and climate-related disruptions. Scientific awards include: BOKU Best Paper Award (2024) ITOR runner-up Best Paper (2023) Raiffeisen Science Award (2014) Multiple Early-Career Prizes Dr. Hirsch leads 13 active research projects funded by the Austrian Research Promotion Agency and Oesterreichische Nationalbank , including initiatives on food supply resilience , internet outage cascading effects , and blockchain in logistics security . He supervises collaborative theses and contributes to policy development through institutions like the ITA - Institut für Technikfolgen-Abschätzung .
Prof. Kazimierz Bęcek is affiliated with the Wrocław University of Science and Technology as a faculty member in the Faculty of Geoengineering, Mining and Geology , specifically within the Department of Geodesy and Geoinformatics . His research spans multiple domains including geodesy, remote sensing, and geomatics, with a strong focus on elevation data analysis and environmental monitoring. Ecology Photogrammetry Remote Sensing Geodesy Geomatics Prof. Bęcek's work primarily investigates geospatial data accuracy, environmental dynamics, and geodetic methodologies. He has contributed significantly to elevation model validation, land subsidence detection, and vegetation collapse analysis through advanced remote sensing techniques. Recent publications highlight his expertise in Digital Elevation Model evaluation , LiDAR data processing , and environmental monitoring using satellite observations. His research extends to climate-ocean interactions and real-time geospatial mapping challenges. Contact: kazimierz.becek@pwr.edu.pl Physical address: ul. Na Grobli 15, 50-421 Wrocław, building L-1 (Geocentrum), room 366
Daniel S. Berger is a Principal Researcher at Microsoft's Azure Systems Research Group in Redmond, focusing on the efficiency, sustainability, and reliability of cloud platforms . He is also an Affiliate Assistant Professor at the Paul G. Allen School of Computer Science at the University of Washington, where he teaches graduate classes. His research spans systems stack innovations for sustainability , including work on memory tiering , repair operations , and cooling systems (Zissou). He leverages system prototyping , simulation , and statistical modeling in his work, often collaborating with PhD students and postdocs from institutions like Columbia, University of Toronto, CMU, and Princeton. Recent publications highlight his leadership in CXL-based memory management , carbon-efficient cloud design , and latency-aware caching . His tools, such as Belatedly and FOO , have demonstrated significant improvements in cache performance and latency optimization. Best Paper Awards: USENIX OSDI 2023, HotCarbon 2023, ACM SOSP 2021. Distinguished Paper: ASPLOS 2023. His work has been integrated into Apache Traffic Server and Microsoft production systems , with open-source tools and datasets released for reproducibility. Collaborations include hardware and OS development teams within Azure and academia.
Claudia Loebbecke is a full Professor holding the Chair of Media and Technology Management at the University of Cologne's Faculty of Business, Economics, and Social Sciences. Her career spans over two decades of academic leadership combined with extensive industry engagement, including positions at Copenhagen Business School, Erasmus University Rotterdam, and numerous visiting professorships at institutions including MIT, LSE, and LUISS Guido Carli University. Her educational foundation includes a PhD in Business Administration (summa cum laude) from the University of Cologne (1995), an MBA from Indiana University (1991, Top 3% of class), and a Diplom-Kauffrau (Master in Business Administration) from the University of Cologne (1989, Top 1% of class). She has augmented her credentials with executive education from MIT (Artificial Intelligence Strategy, Management Leadership) and UNESCO/IEEE (AI and Rule of Law). Loebbecke's research centers on digital transformation , technology management , and business model innovation , with particular focus on societal implications of technological change. Her work bridges theoretical rigor with practical application, evidenced by her extensive consulting engagements with organizations including McKinsey & Company and Deutsche Telekom. She maintains fluency in German (native), English, and French, with working knowledge of Spanish, Dutch, and Danish. Her publication portfolio demonstrates consistent impact in information systems research, with her 2015 paper on societal transformation through digitization ranking among the top 1% of cited German management papers. Her research trajectory shows evolution from foundational work on retail technology implementation (2004) through SME collaboration frameworks (2001) to contemporary explorations of AI governance and big data analytics. European Academy of Sciences and Arts (EASA) Elected Member (2018) AIS Fellow and former President (2012) Marquis Lifetime Achievement Award (2018) Top Cited JSIS Paper 2017 Multiple Best Paper awards at SIM, ECIS, and EFMD Loebbecke actively transfers knowledge through board memberships including WDR (German Public Broadcaster), WIK Scientific Advisory Board, and McKinsey Quarterly Executive Panel. Her citizen science initiatives at the University of Cologne demonstrate commitment to public engagement, particularly through courses on media-enhanced facts and app development for senior citizens and children. Current research focuses on AI governance frameworks and the societal implications of digital transformation.
Prof. Dr.-Ing. André Nitze is a faculty member at the Brandenburg University of Technology in the Department of Economics . His research focuses on Internet of Things (IoT) , Digital Business Models , Software Architectures , Cloud Computing , Mobile Computing , and Predictive Analytics . He leads research projects on municipal LoRaWAN infrastructure, rural on-demand transport systems, and user-centered digitalization for sustainable development. Area of Expertise: IoT Applications, Software Engineering, Digital Transformation Current Research: Sustainable Municipal LoRaWAN, Rural Mobility Solutions Projects: risKI - KatKomm (2024-2026): Protocol development for disaster communication InNoWest (2023-2027): Subproject leader for digital sustainability OSLO (2023): Rural on-demand transport software architecture Awards: Best Paper Award at ICDS 2024 for work on LoRaWAN infrastructure Education & Supervision: M.Sc. and B.Sc. in Business Informatics Supervised over 15 theses including topics on GIS analysis, sensor networks, and AI applications
Edgar Vadimovich Vatamanitsa serves as an Assistant Professor in the Department of Computer Science at Chernivtsi National University, specializing in cross-platform software development and cloud computing applications. His work bridges academic research with industry practice through active engagement in both university teaching and commercial software development. Education: Yuriy Fedkovych Chernivtsi National University (2013): Systems Software, Software Engineer Dr. Vatamanitsa's research centers on Java/Android pattern development, client-server architectures, and distributed systems. He pioneers practical implementations of design patterns in cloud environments, with significant contributions to optical field simulation, semiconductor modeling, and intelligent transportation systems. His methodology emphasizes cross-platform efficiency and real-world applicability of theoretical computing concepts. Analysis of his 2022-2024 publications reveals dominant themes in cloud-based optical computation (AWS infrastructure), Java pattern implementation for Android, and cross-platform solutions for traffic management and semiconductor physics. His work consistently integrates distributed systems with domain-specific challenges in optics, printing technology, and educational analytics, demonstrating exceptional versatility across engineering disciplines. Professional Activities: Member of Bukovina Information Technology Cluster (since 2022) Senior Software Developer at EPAM SYSTEMS Certificate in Cross-platform Programming and Information Security (Ternopil National Technical University, 2023) Tech Summer Bootcamp for Teachers participant (2023)
Dr. Robert Eadie is a Senior Lecturer in Construction Management at Ulster University's Belfast School of Architecture and the Built Environment. He serves as MSc Civil and Infrastructure Engineering Course Director and Academic Lead for Civil Engineering Apprentices. Biography: 20 years in construction industry prior to academia Research Focus: BIM, procurement, pedagogy, and sustainable construction practices Professional Roles: Fellow of Engineers Ireland, Chartered Committee Member of CIHT Northern Ireland Accomplishments: 89+ peer-reviewed publications, 11 scientific awards His work contributes to UN Sustainable Development Goals through social responsibility in construction procurement. Recent research explores point cloud solidification for BIM, virtual reality applications, and IT project management frameworks. Key Research Areas Building Information Modeling (BIM) automation Sustainable procurement practices Construction pedagogy innovation Public-private partnership performance frameworks Scientific awards include: 2018 Doctor Honoris Causa (European Technical University) 2016 Distinguished Teaching Fellowship 2014 Engineering Council UK Registration 2018 Bulgarian Scientific and Technical Union Award
Chris Wiley serves as the Physical Sciences and Engineering Research and Data Services Librarian and Associate Professor at the University of Illinois at Urbana-Champaign. Based at the Grainger Engineering Library, he focuses on data management, research practices, and digital accessibility across scientific disciplines. Research Interests: Specializing in data governance and stewardship across engineering and physical sciences Advancing FAIR data principles and open repository systems Developing accessible data visualization tools Researching data privacy frameworks for scientific contexts Exploring cloud storage limitations for academic institutions Creating educational resources for data management transitions Contact: Email: cawiley@illinois.edu Phone: 217-300-5801 Location: Grainger Engineering Library, 1301 W. Springfield Ave., Urbana, IL 61801
Mian M. Hamayun is an Associate Professor of Computer Science and Head of Subject Group at the University of Birmingham Dubai campus, part of the College of Engineering and Physical Sciences. He holds a PhD in System Modelling, Simulation & Virtualization from the University of Grenoble Alpes, France, and has academic qualifications from Joseph Fourier University and COMSATS Institute of Information Technology, Pakistan. PhD in System Modelling, Simulation & Virtualization, University of Grenoble Alpes, 2013 MS in Informatics (Parallel & Distributed Systems), Joseph Fourier University, 2009 MSE in Software Engineering (Gold Medalist), COMSATS, 2005 PGCHE, University of Birmingham, 2021 FHEA and SFHEA, University of Birmingham (2021, 2024) His research spans Transaction Level Modeling (TLM) , MPSoC simulation , cloud computing , virtualization , Internet of Things/Vehicles , edge AI , and TinyML . He focuses on performance estimation, binary translation, and system-level simulation for embedded and distributed systems. The recent publications reflect a strong trend in IoT and vehicular networks , secure telemedicine , cloud orchestration , and embedded system simulation . His work integrates virtualization with security, real-time constraints, and machine learning on edge devices. Senior Fellow of the Higher Education Academy (SFHEA), 2024 Fellow of the Higher Education Academy (FHEA), 2021 Dr. Hamayun has supervised multiple research students and contributed to projects involving fatigue detection, person re-identification, retinal image analysis, and secure surgery frameworks. He has taught core computer science courses including Operating Systems, Networks, Data Structures, Algorithms, and Functional Programming at both undergraduate and postgraduate levels. His prior roles include Assistant Professor at NUST SEECS, R&D Engineer in France, and Lecturer at IUT1. He leads research in virtual prototyping and edge intelligence at the Dubai campus, contributing to smart city and cognitive systems initiatives. His lab work involves hybrid simulation environments, secure automotive platforms, and distributed IoT systems.
