Mingshuai Chen is an Assistant Professor at Zhejiang University, leading the Formal Verification Group. He previously held a postdoctoral position at RWTH Aachen University. Education: Ph.D. in Computer Science from Institute of Software, Chinese Academy of Sciences (2019) B.Sc. in Computer Science from Jilin University (2013) His research focuses on formal verification, synthesis, programming theory, and probabilistic/quantum systems. Notable contributions include Exact Bayesian Inference and Lower Bounds for Probabilistic Programs . Scientific awards include: NSFC Excellent Young Scientists Fund Program (Overseas) Distinguished Paper Award at ATVA 2018 Best Paper Award at FMAC 2019 CAS-President Special Award (2019) 2nd Prize@ChinaSoft'24 He serves on program committees for OOPSLA 2026, TACAS 2026, and multiple other conferences.
Ta-Tao Chuang is a Professor of Management Information Systems at Gonzaga University, specializing in information technology adoption, cloud computing, and big data analytics. His work bridges organizational behavior with digital transformation, focusing on how businesses leverage technology for competitive advantage. Ph.D., Management Information Systems, Texas Tech University M.S., Computer Information Systems, Georgia State University M.B.A., MIS, National Chiao Tung University B.S., Civil Engineering, National Chung-Hsing University His research investigates: Cloud computing value assessment Big data business impact Interorganizational information systems SME digital transformation Data quality in commerce Publications show consistent focus on technology adoption frameworks, organizational decision-making, and data-driven business strategies through empirical studies across multiple industries. Professor Chuang teaches courses including: BMIS342: Data Analytics for Business BUSN 489: Business Intelligence with Power BI MBUS 681: FinTech 101: Pythonic Technology for Finance
Niels Nijdam is a Senior Lecturer and Researcher at the University of Geneva, where he directs the Information Security Group (I-Sec) under the Research Institute for Statistics and Information Science (RISIS). He earned his PhD in Computer Science from the University of Geneva, working at MIRALab. His research spans collaborative systems, distributed networking, cybersecurity, Internet of Things, autonomous vehicles, and smart cities , with a focus on privacy and security. He has contributed to medical imaging (MRI), avatar systems, and blockchain applications for IoT security. Recent publications address threat analysis for connected vehicles, lightweight cryptographic protocols, and trusted computing in embedded systems . His work emphasizes practical security frameworks and interdisciplinary approaches to risk assessment. He is affiliated with the Geneva School of Economics and Management (GSEM) and the Centre Universitaire d'Informatique (CUI), with office contact at +41 22 379 09 56 and email Niels@Nijdam.ch .
Associate Professor Abner Weng Cheong Poon is a faculty member at the School of Social Sciences, University of New South Wales, within the Faculty of Arts, Design & Architecture. He holds a BA from Singapore, an MSW in Mental Health from the University of Melbourne, and a PhD from the University of Melbourne. His academic work centers exclusively on mental health social work, with no departmental subdivision specified beyond the school level. Professor Poon's research examines critical areas in mental health care systems: Social work interventions in psychosis and severe mental illness Transcultural caregiving dynamics in Chinese, Vietnamese, and Malay communities Family-centered recovery models and caregiver burden metrics Barriers to mental health service access among culturally diverse populations Validation of assessment tools for marginalized caregiver groups His investigations employ mixed methodologies including scoping reviews, psychometric validation, and national surveys across Australian and Southeast Asian contexts. Analysis of his 15 most recent publications (2021-2025) reveals dominant themes in cross-cultural caregiving challenges, validation of culturally adapted assessment tools, and systemic analyses of mental health service barriers. Over 80% of publications focus on ethnic minority carers, with consistent methodological emphasis on scoping reviews (33%) and validation studies (20%). Emerging trends include youth mental health service engagement and coproduction models for culturally responsive care. Professor Poon has received significant recognition: Bruce Lord Award for Excellence in Research Methodology (2020) Best Oral Presentation at the International Conference on Social Work in Health and Mental Health (2016) Australian Postgraduate Award (2011-2014) Melbourne Abroad Travelling Scholarship (2013) Health Manpower Development Plan Fellowship, Singapore (2005) He currently supervises five doctoral candidates researching: Clinical listening skills in mental health (Bani Aadam) Social isolation in Chinese caregivers (Ziyao Guan) African migrant caregiving experiences (Anthony Iwuagwu) Male eating disorders (Richard Knight) School-home partnerships (Ziyan Zhou) His funded projects include the headspace Family Inclusive Practice Model (2014-2015), William Buckland Foundation research on non-English speaking caregivers (2011-2013), and Singaporean NMRC studies on parental mental illness (2008).
Ed J. Nijssen serves as Professor of Technology Marketing within the Innovation, Technology Entrepreneurship & Marketing (ITEM) group at Eindhoven University of Technology's School of Industrial Engineering. His academic leadership spans strategic sales and marketing for radical innovations, with significant contributions to entrepreneurial marketing frameworks. His educational foundation includes a PhD from Tilburg University, complemented by visiting professorships at Michigan State University, New York University, and Bocconi University. He has conducted executive training globally at institutions including Fudan University and the Swedish School of Economics. Primary research domains: Servitization (solution-based business models), sales organization dynamics, and innovation in service frontline operations Secondary interests: Brand advocacy mechanisms, self-service technologies, and marketing/sales-R&D interface optimization Current focus: Organizational culture transformation required for successful servitization implementation His publication portfolio shows consistent output evolution toward digital transformation themes, with recent emphasis on human-robot collaboration in service environments (2023-2025), solution selling frameworks (2024), and B2B branding methodologies (2024), reflecting industry's shift toward integrated product-service ecosystems. Best Paper Award, International Marketing Track (2011) Best Paper Award, Research Method Track AMA Winter Marketing Educator's Conference (2010) Highly Commended Award, Robert Johnston Award (2017) As active supervisory committee member for 118 student projects, Nijssen directs major research initiatives including SYNERGIA (€1.76M EU-funded agricultural innovation project running through 2027) and SMART-SPACE (completed 2022). His industry engagement manifests through executive education programs with Link Magazine and consultancy for Wageningen University's professorial appointments committee. Nijssen co-leads the ITEM research group's work on the Brabant Center of Entrepreneurship, focusing on technology commercialization pathways and solution-based business model innovation through interdisciplinary collaboration with engineering and computer science faculties.
Mirco Stern is a researcher at the Institute of Information Management (IPD Böhm) at Karlsruhe Institute of Technology. His work focuses on sensor networks, database systems, and service composition technologies. Key research areas include distributed query processing, data quality guarantees, and optimization of join operations in resource-constrained environments. Role : Researcher, Institute of Information Management Location : Karlsruhe, Germany Research trends highlight his expertise in sensor network optimization (join processing, wavelet transforms) and service composition (semantic matchmaking, automated integration). Publications span ACM SIGMOD, VLDB, and ECOWS conferences, emphasizing algorithm design and system efficiency.
Dr. Dikran Meliksetian serves as Adjunct Faculty in the Computer Engineering and Computer Science Department at the University of New Haven's Tagliatela College of Engineering. An accomplished Senior IT Professional with extensive US and international experience, he leverages industry expertise from his tenure as an IBM Senior Technical Staff Member to enrich academic instruction. His educational foundation includes a Ph.D. in Computer Engineering from Syracuse University. Dr. Meliksetian's research spans critical domains including software engineering, cloud computing, machine learning, and artificial intelligence, with significant contributions to geospatial processing, enterprise IT services, grid computing, and quantum technology. His work bridges theoretical frameworks with practical industry applications, particularly in developing scalable architectures and service delivery models. Current involvement in initiatives like the QuantumUp! Challenge demonstrates his commitment to emerging technologies. His publication history reveals an evolution from foundational grid computing research (2004-2006) toward contemporary work in geospatial processing and cloud service transformation (2016-2019), reflecting industry shifts toward distributed systems and AI-driven solutions. Notable recognitions include: IBM Master Inventor status Senior Membership in the ACM Life Membership in IEEE and IEEE Computer Society Portfolio of over 50 patents While specific student names aren't documented, Dr. Meliksetian actively mentors through projects like the QuantumUp! Challenge where students develop quantum technology skills. His extensive patent portfolio and industry-academia transition exemplify significant research impact beyond traditional grant funding structures. As part of the Computer Engineering and Computer Science Department, he contributes to the academic ecosystem by integrating real-world IBM experience with theoretical instruction, particularly in emerging fields like quantum computing where student teams compete in national challenges.
Dirk Timmermann is Senior Professor of Computers in Technical Systems at the Institute for Applied Microelectronics and Data Technology , University of Rostock , Germany. He is affiliated with the Interdisciplinary Faculty (INF) within the Department of Life, Light & Matter. Academic Role: Senior Professor focusing on technical systems Research Areas: Digital CMOS circuits, energy-efficient systems, wireless communication protocols Teaching: Advanced VLSI design and digital systems Current Projects: Deep brain stimulation devices, TSN networking, medical device interoperability His recent publications (2023-2025) emphasize preclinical neurostimulation research (STN-DBS applications in Parkinsonian models), time-sensitive networking (TSN scheduling, IEEE 802.11 protocols), and medical device integration (IEEE 11073 SDC implementations). He contributes to: Ad hoc sensor network architectures Energy-efficient FPGA designs Service-oriented medical device connectivity Building automation security frameworks Prof. Timmermann serves on the Senate Committee on Budget, Personnel and Construction at University of Rostock.
Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)
Luís Eduardo Teixeira Rodrigues is a Professor Catedrático at the Department of Computer Engineering , Instituto Superior Técnico (IST) , Universidade de Lisboa . He is also affiliated with INESC-ID's Distributed, Parallel and Secure Systems Group . With a career spanning over three decades, he has pioneered research in distributed systems, fault tolerance, edge computing, and microservices consistency. PhD from IST (1996) "Agregação" in Informatics (2003) Co-founder of LASIGE's Navigators group His research focuses on transactional causal consistency , Byzantine fault tolerance , and edge computing systems . He leads the GLOG project for distributed shared logs and the DACOMICO project for microservices consistency. His work bridges theoretical distributed algorithms with practical systems engineering. Recent publications emphasize geo-replicated transactional systems , proof-of-storage mechanisms , and automated microservices decomposition . Notable collaborations include projects with institutions in Italy, Japan, and Luxembourg. Scientific contributions include: Prémio Prof. Luís Vidigal (awarded to student Mário Rui Vazão) Co-author of foundational books on Reliable Distributed Programming and Distributed Systems for System Architects Mentorship highlights: Supervised over 40 PhD and MSc students in distributed systems, including: Diogo Barrinha - Unobservable Covert Streaming Xavier Vilaça - N-Party BAR Transfer João Queirós - Transactional Causal Consistency Current projects include the GLOG distributed shared log system and DACOMICO for microservices consistency. Active in international collaborations with institutions in the USA, Switzerland, and Brazil.
Prasun Dewan is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Before joining UNC-Chapel Hill, he was on the faculty of Purdue University. His academic journey began with a B.Tech. degree in Electrical Engineering from the Indian Institute of Technology of New Delhi, followed by a Ph.D. in Computer Science from University of Wisconsin at Madison in 1986. Dr. Dewan's research interests span multiple domains within computer science, with a strong focus on collaborative systems. His work encompasses user interfaces, distributed collaboration frameworks, software engineering environments, mobile computing, and access control mechanisms. He has made significant contributions to the development of frameworks for implementing both single-user and multi-user applications, collaborative software engineering tools, distributed and migratory object systems, and interoperability solutions. His publication record shows a consistent focus on solving fundamental problems in collaborative computing, with particular emphasis on user interface coupling, object merging, access control, and distributed systems architecture. The evolution of his work demonstrates a progression from foundational frameworks to more specialized solutions addressing real-time collaboration, mobile computing challenges, and complex interoperability requirements. As an academic leader, Dr. Dewan has served as an associate editor for prestigious journals including ACM Transactions on Computer Human Interaction, ACM Transactions on Information Systems, and Journal of Computer Supported Cooperative Work. His research has been supported by significant funding from the National Science Foundation and DARPA, particularly for projects like the Collaboration Bus and Flexible Shared Windows. Dr. Dewan actively mentors graduate students and has advised numerous PhD candidates including Jason Carter, Jacob Bartel, Goopeel Chung, Brian Ladd, John Menges, Eileen Kupstas, Jon Munson, Jaime Navon, and Honghai Shen. His laboratory, part of the UNC Colab group, focuses on developing next-generation collaboration technologies with applications ranging from educational tools to virtual environments.
Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).
Torsten Klie serves as Managing Director and Senior Research Associate ( Akademischer Oberrat ) at the FAU Research Center Embedded Systems Initiative (FAU ESI) at Friedrich-Alexander University Erlangen-Nuremberg. He is affiliated with the Department of Computer Science, specifically the Chair of Computer Science 12 (Hardware-Software Co-Design). Dr. Klie received his PhD in Computer Science (Dr.-Ing.) from Technical University of Braunschweig in December 2008 under Prof. Dr.-Ing. Lars Wolf (1st Reader) and Prof. Dr. Stefan Fischer (2nd Reader). His academic journey began with a Diploma in Business Informatics from the same institution in January 2003, preceded by research positions at the Institute of Operating Systems and Computer Networks (2005-2009) and the L3S Research Center in Hanover (2003-2005). His research focuses on cyber-physical systems, autonomic communication, and policy-based management, with increasing emphasis on industrial applications under Industry 4.0 frameworks. His work spans from foundational network management systems to current explorations of sustainable smart industry through the Industrial Internet of Things. Dr. Klie has developed a distinctive research trajectory examining how embedded systems can enable smarter industrial processes through advanced communication architectures and autonomous management approaches. Analysis of his publications from 2009-2025 reveals a clear evolution from theoretical network management frameworks toward practical industrial applications. His recent work increasingly addresses sustainability in industrial contexts, embedded AI implementations, and open-source hardware approaches to cyber-physical systems. The recurring theme across his career is the integration of hardware and software systems to create more autonomous, efficient, and responsive embedded solutions for industrial applications. Dr. Klie teaches courses on cyber-physical systems at FAU and previously taught computer networks, distributed systems, and operating systems at Technical University of Braunschweig. His teaching portfolio includes multiple specialized seminars on advanced networking topics, real-time sensor networks, and security in distributed systems. He leads the ESI Application Center focused on Sustainable Smart Industry – The Industrial Internet of Things as a Model for Sustainable Industrial Value Creation as part of the Emerging Fields Initiative. His current research direction emphasizes how embedded systems can drive sustainable industrial transformation through smarter connectivity and autonomous decision-making capabilities.
Dr Charlotte A. Kukowski is a Postdoctoral Research Fellow at the University of Cambridge, holding dual affiliations with the Cambridge Social Decision-Making Lab in the Department of Psychology and the Conservation Science Group in the Department of Zoology. Her interdisciplinary work bridges behavioral science and environmental sustainability to address urgent climate challenges. Her educational background includes: PhD from the University of Zurich Dr Kukowski specializes in behavior change for climate action, with core research on food choices, transportation, and climate policy support. She investigates how socioeconomic inequalities affect low-carbon behavior feasibility and how decision environments can be engineered to foster sustainable futures. Her approach integrates psychological theory with policy applications to develop equitable climate solutions, emphasizing that effective interventions must address structural inequalities alongside individual behavior. Analysis of her 2021-2025 publications reveals a dominant focus on self-control mechanisms in sustainable behavior, socioeconomic determinants of climate action, and the policy-behavior nexus. Her work demonstrates how choice architecture (e.g., nudges) can facilitate dietary shifts and transportation changes, while highlighting that inequality undermines behavior change feasibility—making policy interventions essential for net-zero transitions. Recent studies increasingly connect individual behavior with collective climate policy support. Dr Kukowski has not been publicly associated with any major scientific awards in available sources. No information is available regarding Dr Kukowski's graduate student advising or research grant funding. She actively contributes to two key research units: the Cambridge Social Decision-Making Lab (studying psychological foundations of social decisions) and the Conservation Science Group (an interdisciplinary team addressing biodiversity and sustainability). These dual affiliations enable her to approach climate behavior change through both psychological and ecological lenses, with recent work expanding into digital learning environments for sustainability education.
Lusine Margaryan is a Senior Lecturer at Mid Sweden University, Department of Economics, Geography, Law and Tourism (EJT), and coordinates the Master's Programme in Tourism Studies. She contributes to the European Tourism Research Institute (ETOUR) in Östersund. Her research bridges environmental and social sciences, focusing on nature-based tourism, outdoor recreation, and sustainability. Projects include Mistra Sport and Outdoors, RETURN (regenerative economics), and REGGAE (regenerative tourism). She explores climate-smart solutions, eco-certification, and social integration in tourism. PhD in Tourism Studies, Mid Sweden University (2017) MSc in Leisure, Tourism and Environment, University of Wageningen (2011) MSc in Environmental Sciences and Policy, Central European University (2007) Specialist Diploma in Social-Cultural Service and Tourism, Russian-Armenian University (2004) Her recent publications address nudging for sustainable tourism behavior, cultural ecosystem services of wetlands, and regenerative tourism frameworks. She has authored reports for the Council of Europe on cultural routes and sustainability. She collaborates on projects integrating environmental policy with tourism practices and provides expertise on commercializing nature through tourism. Her work emphasizes degrowth, lifestyle entrepreneurship, and gender equity in outdoor recreation. Labs and teams include the European Tourism Research Institute (ETOUR), where she contributes to interdisciplinary studies on tourism's role in sustainable societal development in northern Sweden.
