Vic Anand is an Assistant Professor of Accountancy at the University of Illinois. His research focuses on operations research, management accounting, and the application of computational methods in accounting. Key areas include cost system design, decision-making under uncertainty, and leveraging machine learning for profitability prediction. He has collaborated on projects involving numerical experiments in cost analysis and frameworks for capacity planning with limited information. Anand also explores behavioral aspects of goal progress feedback and its impact on organizational performance. His academic contributions span Python-based text analysis techniques in accounting research and interdisciplinary applications of biomechanical modeling. Notable works include studies on genetic algorithms and network topology inference from sparse data. Anand has published in journals like Production and Operations Management and Journal of Management Accounting Research. His research has been cited over 40 times, with significant reader engagement on platforms like Mendeley. Anand’s work bridges theoretical models with practical business applications, emphasizing both technical rigor and real-world relevance. He has pioneered methodologies for improving productivity through site-based training and developed frameworks for informationally consistent cost decision-making.
Christos-Efthymios Kotselidis is an Associate Professor in the Department of Computer Science at the University of Manchester. His work focuses on runtime systems, heterogeneous computing, and high-performance computing. He leads research in optimizing Java programs using frameworks like TornadoVM and explores GPU acceleration for cryptography (FHE). His contributions include advancements in vectorization for RISC-V architectures and memory analysis of Java benchmarks. Education: PhD in Computer Science (2011) from the University of Manchester, supervised by Prof. Steve Furber and Dr. Chris Kirkham, with a thesis on Distributed Software Transactional Memory. Research Interests: Runtime environments, parallel programming models, compiler optimization, and hardware-software co-design. His work aligns with UN SDG 9 (Industry, Innovation, and Infrastructure) through digital futures research. Notable Achievements: Recipient of the Best Paper Award (2017) Principal Investigator in the Centre for Digital Trust and Society (2021–present) Over 49 peer-reviewed publications, including books and conference contributions on topics like FHE acceleration and runtime systems Lab/Team Affiliations: Member of the Advanced Processor Technology group and collaborates on the Digital Futures research beacon at the University of Manchester.
Alexandru Calotoiu is a Researcher in the Department of Computer Science at ETH Zürich, affiliated with the Professorship for Scalable Parallel Computing. His work focuses on performance modeling, high-performance computing (HPC), serverless systems, and cloud computing. He leads research in empirical performance modeling for complex applications, optimization of parallel algorithms, and scalable cloud architectures. Key research areas include noise-resilient performance models, serverless computing frameworks, and compositional parallel programming. He has contributed to benchmarking tools like SeBS and developed techniques for loop scheduling, static analysis, and resource disaggregation in HPC environments. His publications from 2023–2025 emphasize serverless systems (e.g., FaaSKeeper, Cppless), performance embeddings for optimization, and specialized supercomputing for climate science. These studies address scalability, reproducibility, and cross-platform performance portability in data-centric workloads. No scientific awards are explicitly listed, but his work has been presented at leading conferences such as ISCA and IEEE/ACM events. He collaborates on projects like rFaaS (RDMA-enabled serverless platforms) and Process-as-a-Service frameworks. His research bridges theoretical models with practical implementations in distributed systems and cloud infrastructure.
Michael Godfrey is a Professor at the University of Waterloo's David R. Cheriton School of Computer Science, affiliated with the Department of Electrical and Computer Engineering. His work focuses on software engineering, empirical studies of software systems, code review practices, and open-source software ecosystems. He holds a Ph.D., M.Sc., and B.Sc. from the University of Toronto (1997, 1988, 1986). Research interests include software evolution, mining software repositories, provenance tracking, code duplication analysis, and program comprehension. He actively explores how developers interact with code reviews, documentation systems, and modern CI/CD pipelines. Recent work investigates app store software ecosystems, Bash scripting vulnerabilities, and deep learning API testing. Publications span empirical studies of developer communities (e.g., Stack Overflow analysis), architectural teaching methods, and automated testing techniques like documentation-guided fuzzing. His work bridges theory and practice, addressing challenges in large-scale systems maintenance and developer productivity. Leverages tools like Elasticsearch for repository mining and explores anomaly detection in software development. Engaged in curriculum development for software architecture education and has contributed to conferences like MSR and ICSE.
Ladan Tahvildari is a Full-time Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. Her research focuses on software engineering, self-adaptive systems, cloud computing, and test case prioritization. She leads the Software Technologies Applied Research Laboratory (STAR Lab), emphasizing hands-on industry collaboration and practical software solutions. Her work spans over two decades, with notable contributions to adaptive software systems, runtime adaptation frameworks (GRAF), and cloud modeling (StratusML/Adoop). She has pioneered techniques for flaky test detection (FlaKat), spatiotemporal auto-scaling (STaleX), and POMDP-based uncertainty management for security systems. Key research areas include: Self-protecting software systems Component-based software evolution Defect detection and prioritization Autonomic computing decision models Cloud infrastructure optimization Her recent work bridges academia and industry through hands-on learning approaches and frameworks like Semeru Cloud Compiler for performance enhancement. She has served as workshop chair for ACSOS 2023 and contributed to IBM tool integration in educational curricula. Her lab focuses on transforming theoretical concepts into practical tools like StarMX for self-managing systems and ReLACK for VoIP steganography. Current efforts emphasize adaptive machine learning frameworks and scalable microservice architectures.
Dr. Thomas Bolognesi is an Associate Professor at Grenoble Ecole de Management, specializing in governance, socio-economic dynamics, and environmental policy. His work focuses on understanding how policy instruments and institutions interact to address challenges like water governance, regional development, and urban sustainability. He emphasizes the co-evolution of economic development and environmental systems, often using empirical designs to analyze non-linear relationships. His research interests include institutional complexity traps, policy integration failures, and the socio-technical dimensions of public policy. He has extensively studied water resource management in Switzerland, France, and urban contexts globally. Bolognesi actively engages with societal impacts, aiming to translate academic findings into actionable policy recommendations. Recent publications highlight his focus on environmental governance dynamics, urban water challenges, and methodology critiques in the social sciences. His work often bridges interdisciplinary approaches, combining institutional theory with empirical case studies. Awards and grants are not explicitly listed, but his research has significant policy relevance across environmental and urban sectors. He advises on governance frameworks and collaborates with international organizations, contributing to handbooks and multi-author volumes like the Routledge Handbook of Urban Water Governance .
Michele Chiari is a PostDoc Researcher at TU Wien's TrustCPS Group led by Prof. Ezio Bartocci. Previously, he was a PhD candidate and PostDoc at Politecnico di Milano's DEIB in the DeepSE group. His primary affiliations include TU Wien and the TrustCPS group, with a focus on formal verification and cyber-physical systems. Education: PhD candidate and PostDoc at Politecnico di Milano's Department of Electronics, Information, and Bioengineering (DEIB). Research interests include formal methods for safety-critical systems, temporal logic, automata theory, model checking for recursive probabilistic programs, infrastructure-as-code modeling (DOML), floating-point computation verification, and approximate computing. Research highlights: Development of POTL (Probabilistic Operator Temporal Logic), model checkers for operator precedence languages (POMC), and contributions to the PIACERE and CORPORA projects. His work bridges theoretical formal methods with practical applications in software engineering and embedded systems. Key projects include leadership of the EU-funded MSCA PF CORPORA project (2023–present) and contributions to the PIACERE H2020 initiative. Collaborations include tools like TAFFO (floating-point precision tuner) and DOML (Infrastructure-as-Code modeling framework). Labs/Teams: Core member of TU Wien's TrustCPS Group and former contributor to Politecnico di Milano's DeepSE Group. Active in conferences like CAV, RV, and CAiSE, with recent service roles on OOPSLA and RV program committees.
Dr. Luke Blunden is a Senior Research Fellow at the University of Southampton, affiliated with the Energy and Climate Change Group and the Southampton Marine and Maritime Institute. His research focuses on renewable energy transitions, environmental sustainability, and marine energy systems. Key areas include renewable energy infrastructure in refugee camps, tidal turbine technology, and solar PV applications. He collaborates on projects funded by EPSRC and others, including tidal power-flood alleviation integration and sustainable energy access in developing regions. Recent work includes studies on fossil fuel replacement in refugee camps, experimental analysis of tidal turbines, and satellite-based solar PV assessments. His contributions span peer-reviewed articles, conference proceedings, and institutional sustainability reports. Dr. Blunden currently supervises one PhD student, Rodolfo Olvera Trejo, in the Engineering and Environment faculty.
Associate Professor Conrad Hamann is affiliated with the School of AUD at RMIT University, located at City Campus, Australia. His work focuses on Architecture and Urban and Regional Planning, exploring themes such as urban form evolution, colonial urban development, suburban sprawl dynamics, and architectural history. He is open to supervising Masters and PhD students in these areas. His research delves into Melbourne’s urban evolution, colonial architectural influences, and modernist residential design, with notable projects like analyses of nodal suburbs and the State Library of Victoria’s transformation. He has contributed to interdisciplinary discussions on urban health, pestilential cities, and the interplay between architecture and epidemiology. Hamann’s publications span conference papers, books, and creative works, reflecting a commitment to both academic rigor and practical design discourse. His work bridges historical analysis with contemporary urban challenges, offering insights into how past urban strategies inform current practices. No scientific awards are explicitly listed in the provided materials. His research and teaching emphasize urban form, architectural heritage, and the socio-spatial dimensions of cities.
Professor Vincent Heuveline serves as Professor and Head of the Engineering Mathematics and Computing Lab (EMCL) at Heidelberg University's Interdisciplinary Center for Scientific Computing (IWR). He concurrently holds the positions of Chief Information Officer (CIO) and Director of the Computing Centre at the university, while leading the Data Mining and Uncertainty Quantification (DMQ) group at HITS gGmbH. His academic background includes: Studies in Mathematics, Physics, and Computer Science at Caen (France) and Würzburg (Germany) PhD in Computer Science (1997) from Université de Rennes and INRIA Habilitation in Mathematics (2002) at Heidelberg University Research focuses on uncertainty quantification (UQ) , high-performance computing (HPC) , and data-intensive computing with applications in medical engineering. He is deeply engaged in IT security research and teaching, developing practical frameworks for industrial deployment of numerical simulations and secure computing infrastructures. Recent publications reveal converging trends in biomedical image segmentation (e.g., Biomedisa platform), metabolic modeling for newborn diagnostics, and cybersecurity solutions like DGA detection. Key interdisciplinary themes include machine learning for medical applications, HPC algorithm optimization, and network security frameworks addressing real-world industrial challenges. He leads the EMCL and DMQ research groups, driving innovation in computational science. As CIO, he shapes Heidelberg University's digital infrastructure strategy while maintaining active industry collaborations for translating academic research into simulation and security solutions.
Maria Cristina Carvalho Fernandes is an Assistant Professor at the Department of Chemical and Biological Engineering at Instituto Superior Técnico, University of Lisbon. She specializes in chemical engineering education, teaching courses such as Biofuels, Process Synthesis, and Mass and Energy Balances. Her research focuses on biomass utilization, energy efficiency, and process integration in industrial systems, with particular attention to forest biomass applications and sustainable energy solutions. Dr. Fernandes has contributed extensively to educational materials in chemical engineering and developed software tools like FI²EPI for process heat integration analysis. She collaborates actively with industry partners to optimize energy systems and reduce environmental impact. Despite her prolific academic contributions, no scientific awards are explicitly listed in her profile. Her work spans technical areas including waste-to-energy conversions, industrial process optimization, and bioenergy production strategies. She has published over 50 peer-reviewed articles since 2021, many co-authored with experts like Clemente Pedro Nunes and Henrique Matos. Her research emphasizes practical applications of process integration principles to improve energy efficiency in sectors ranging from food processing to forest management.
Barton P. Miller is a Vilas Distinguished Achievement Professor and the Amar & Balinder Sohi Professor of Computer Sciences at the University of Wisconsin, Madison, where he has made significant contributions to computer science research and education. As a faculty member in the Computer Sciences Department within the College of Engineering, he directs major research initiatives including the Paradyn Tools project and leads cybersecurity efforts as Chief Scientist of the DHS-funded Software Assurance Marketplace (SWAMP) research center. Miller received his B.A. degree from the University of California, San Diego in 1977, and M.S. and Ph.D. degrees in Computer Science from the University of California, Berkeley in 1980 and 1984. His educational background laid the foundation for his pioneering work in software testing and analysis. His research spans multiple critical areas of computer science, with a primary focus on binary code analysis and instrumentation , software security , and distributed and parallel program performance . Miller is particularly renowned for founding the field of Fuzz random software testing in 1988 and dynamic binary code instrumentation in 1992. His work bridges theoretical computer science with practical applications, addressing real-world challenges in high-performance computing systems, cybersecurity, and scalable distributed systems. His research has direct applications in national security through his work with DHS and TrustedCI, the NSF Cybersecurity Center of Excellence. Miller's publications reveal a consistent focus on binary analysis tools, security vulnerability detection, and performance optimization techniques. His recent work shows increasing emphasis on ransomware analysis, GPU performance optimization, and practical security tool development for developers. The trajectory of his research demonstrates how foundational work in binary instrumentation has evolved to address contemporary cybersecurity challenges while maintaining relevance to high-performance computing environments. Among his notable honors, Miller is a Fellow of the ACM and recipient of the prestigious Jean-Claude Laprie Award in Dependable Computing , an R&D 100 Award , and multiple best paper awards including at HPDC 2009 and CCGrid 2018. His contributions to the field have been recognized through distinguished lectureships at institutions including Ben Gurion University and IBM T.J. Watson Research Center. As an educator, Miller has mentored numerous students and taught courses spanning operating systems, software security, and distributed systems. He has received teaching awards and developed educational resources including free and open software security training materials. His work with TrustedCI has focused on cybersecurity for scientific communities, helping researchers secure their computational infrastructure while maintaining research productivity. Miller also co-directs the MIST software vulnerability assessment project in collaboration with colleagues at the Autonomous University of Barcelona. Miller directs the Paradyn Tools project, which investigates program scalability and binary program analysis technologies for use in HPC, systems design, and cyber-security. His work extends to practical applications through collaborations with government agencies including DHS and the U.S. Secret Service Electronic Crimes Task Force. His research group has developed tools like Dyninst, MRNet, and the Wisconsin Safety Analyzer that have become foundational in their respective domains.
Jyrki Tarpio is a Postdoctoral Research Fellow at the Department of Architecture within Tampere University's Faculty of Built Environment. His work focuses on advancing sustainable housing solutions through empirical research on adaptability, resilience, and circular construction practices in Finnish urban contexts. Dr. Tarpio's research centers on adaptable housing systems , urban resilience strategies , and circular building concepts . He investigates how residential environments can dynamically respond to demographic shifts and climate challenges through innovative design like horizontal apartment block expansion and infill development. His methodology integrates virtual reality simulations to evaluate resident experiences and compiles practical checklists for sustainable living environments, bridging theoretical frameworks with actionable policy recommendations. Analysis of his 2022-2025 publications reveals a concentrated focus on overcoming implementation barriers for adaptable housing in Nordic contexts. Key trends include comparative studies of Finnish and Danish architectural practices, development of metrics for building adaptability levels, and exploration of concrete-wood hybrid systems for circular construction. His work consistently emphasizes resident-centered design while addressing systemic challenges in housing policy and professional practice.
Björn Klatt is a Lecturer at the Academy of Entrepreneurship, Innovation and Sustainability at Halmstad University. His research focuses on enhancing agricultural sustainability through pollination strategies, particularly leveraging bee biodiversity to improve crop resilience under climate change. Key interests include pesticide impacts, land-use effects on pollinators, and climate adaptation in agroecosystems. Research projects include the ThinkBee initiative, exploring bee conservation in agricultural landscapes. His work emphasizes field-based methodologies, such as roadside vegetation surveys and wetland inventories using stand-up paddleboards (SUP). Over 30 publications since 2012 span topics like pollinator behavior, pesticide toxicity, and climate-driven crop stability. Publications highlight trade-offs between insecticide use and pollinator health, with recent studies on flower-rich road verges boosting pollinator abundance. Klatt collaborates across disciplines to integrate ecological data into policy frameworks for sustainable farming practices. Current research explores multifunctional wetlands and trophic cascades under extreme weather events.
Prof. Johannes Bauer is a Professor of Computer Science at Cooperative State University Mannheim (DHBW Mannheim) since 2022. He holds a Ph.D. in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg (2016), focusing on cost-effective security measures for embedded systems. His research spans applied cryptography, vulnerability assessment, side-channel analysis, and hardware security modules (HSMs). Professional Experience: 2022–Present: Professor at DHBW Mannheim 2018–2021: Principal Designated Engineer for cybersecurity standards at Underwriters Laboratories 2016–2018: Product Security Officer at Robert Bosch Smart Home GmbH Research Interests: Embedded systems security Physical-layer attacks and covert channels Cold-boot attacks and memory forensics Hardware-software co-design for security Smart grid cybersecurity Publications Highlight: His 2016 Ph.D. thesis introduced novel methods for timing side-channel detection and anti-EMI feature abuse. Recent work includes analyzing demand response capabilities in smart grids (2019). Labs/Teams: Active in cybersecurity research groups, contributing to standards like ETSI EN 303 645 and UL MCV 1376. Collaborates with industry partners on embedded system hardening.
