Jenny Säve-Söderbergh is an Associate Professor at the Swedish Institute for Social Research (SOFI) , Stockholm University. She specializes in behavioral economics and labor economics with a focus on gender differences in economic decision-making , including negotiation behavior, pensions, risk-taking, and financial literacy. Research Groups : Labor Economics (AME), GAINS (Gender Analysis Network) Collaborators : Stockholm School of Economics, London School of Economics, Uppsala University, and Federal Reserve Bank of Philadelphia Her research spans gender gaps in salary negotiations , pension knowledge disparities , and labor market policy evaluation . She employs field experiments, natural experiments, and survey data to analyze decision-making under uncertainty. Recent Trends in her publications include experimental analyses of negotiation behavior , information interventions for gender parity , and randomized trials on labor market effects . Her work addresses policy implications for retirement planning and ethical investments. Collaborative Projects include studies on coordinated labor market support programs in Malmökraften and Samordningsförbund, with findings showing improved earnings from multi-agency interventions.
Virginia Dignum is Professor of Responsible Artificial Intelligence and Director of the AI Policy Lab at Umeå University's Department of Computing Science. She serves as senior advisor for AI policy to the Wallenberg Foundations and is an active member of the UN High Level Advisory Body on AI. Her institutional affiliations include the Faculty of Technology Policy and Management at Delft University of Technology. Her research centers on the complex interdependencies between people, organizations, and technology. Key interests include: Responsible AI: Moral/ethical issues in autonomous agent teams and regulatory frameworks Social interaction formalization: Developing computational architectures for agent deliberation based on social practices Human-agent teamwork: Investigating negotiation, trust, and collaboration dynamics in socio-technical environments Her work bridges theoretical AI foundations with real-world policy implementation. Analysis of her recent publications reveals strong focus on AI governance frameworks, explainability mechanisms, and fairness operationalization. Key trends include development of context-sensitive ethical assessment tools, regulatory sandbox implementations, and formal models for human-AI coevolution. Her research increasingly addresses planetary-scale AI impacts and children's rights in digital environments. Major recognitions include: Election to Swedish Royal Academy of Engineering Sciences (IVA), 2020 Fellowship in European Artificial Intelligence Association (EURAI), 2018 Veni Fellowship from NWO for agent-based organizational frameworks, 2006 AI Ethics Professional of the Year award, 2022 Dignum actively shapes global AI policy through leadership roles in the UN High Level Advisory Body, Global Partnership on AI (GPAI), and World Economic Forum Council on AI. She chairs major conferences including AAMAS'24 and serves as Ethics Chair for AAAI'24. Her advisory work extends to the European Commission, IEEE Global Initiative, and UNESCO AI Ethics Recommendation implementation. Current initiatives include the Vatican lecture series on AI ethics and regional AI policy development in Västerbotten. She directs Umeå University's AI Policy Lab, focusing on translating ethical principles into actionable governance frameworks. The lab develops tools for regulatory compliance assessment and stakeholder engagement in AI deployment. Recent projects address digital contact tracing governance and AI's impact on democratic processes.
Adam Wierman is a Professor in the Department of Computing and Mathematical Sciences (CMS) at the California Institute of Technology, where he has served as faculty since 2007. His research focuses on developing sustainable and resilient networked systems through interdisciplinary approaches. Education: Ph.D. in Computer Science, Carnegie Mellon University, 2007 M.Sc. in Computer Science, Carnegie Mellon University, 2004 B.Sc. in Computer Science, Carnegie Mellon University, 2001 Wierman's work integrates machine learning, optimization, control theory, and algorithmic economics to design provably robust algorithms for critical infrastructure. His research targets sustainability challenges in data centers, electricity grids, and transportation systems, with pioneering contributions to energy-efficient computing. He emphasizes creating practical solutions with theoretical guarantees for real-world deployment. His 2025 publications reveal strong trends toward learning-augmented control systems for sustainability, with significant focus on carbon-aware scheduling, robust reinforcement learning, and competitive algorithms for spatiotemporal resource allocation. Key themes include integrating renewable energy into computing infrastructure, decarbonizing water systems, and developing privacy-preserving learning frameworks. Scientific Awards: ACM Sigmetrics Rising Star award ACM Sigmetrics Test of Time award IEEE Communications Society William R. Bennett Prize Multiple Best Paper Awards across computer science and operations research conferences Multiple Teaching Awards at Caltech Professor Wierman actively mentors graduate students, postdocs, and undergraduates through Caltech's SURF and WAVE programs. His research is supported by grants from federal agencies and industry partners focused on sustainability and resilient systems. He maintains regular office hours and participates in multiple research seminars. He leads the Resnick Sustainability Research Group (RSRG) and collaborates with Caltech centers including DOLCIT, CSIS, CMI, IST, RSI, and CAST. His lab develops practical tools like SustainGym and RobustGym for testing sustainability-focused AI algorithms in simulated environments.
Prof. Hadi Susanto is a distinguished academic in Applied Mathematics at Khalifa University , with adjunct professorships at Universitas Indonesia and Institut Teknologi Sumatera. He holds a PhD from the University of Twente and has held positions at the University of Massachusetts Amherst, University of Nottingham, and University of Essex, where he was promoted to Professor in 2014. He serves as Associate Editor for journals including IMA Journal of Applied Mathematics and Frontiers in Photonics . PhD: University of Twente (2006) MSc: University of Twente (2003) BSc: Institut Teknologi Bandung (2001) Associate Fellow, Higher Education Academy (2013) His research spans Dynamical Systems , Nonlinear Waves , and Mathematical Modelling , with applications in Physics , Biology , and Optics . Recent projects include machine learning for dynamical systems and origami-based metamaterials . His 15 most recent publications cover topics like nonlinear Schrödinger equations , COVID-19 transmission models , and chaotic lattice dynamics , reflecting his interdisciplinary expertise. As Principal Investigator , he leads projects such as DUSTnBLOOM (climate change impacts on algal blooms) and astrodynamics software development , aligning with Khalifa University's research priorities. He mentors numerous PhD and postdoctoral researchers, with former advisees including Rudy Kusdiantara and Sendy Phang . Associate Editor, IMA Journal of Applied Mathematics (OUP) Member, KU Graduate Student Committee (2021–present) Advisory Board, Institut Teknologi Bandung
Geoff Merrett is Professor of Electronic and Software Systems at the University of Southampton and serves as Deputy Head (Research) of the School of Electronics and Computer Science (ECS). He is a member of the Cyber Physical Systems Research Group and was previously Head of the Centre for Internet of Things (IoT) and Pervasive Systems (2018-2024) and Co-Director of the Arm-ECS Research Centre (2020-2024). His educational background includes a BEng (1st, Hons) and PhD in Electronic Engineering from Southampton (2004 and 2009 respectively), along with a Postgraduate Certificate in Academic Practice (2011). He was appointed as a Lecturer shortly after completing his PhD, promoted to Associate Professor in 2014, and Professor in 2019. Professor Merrett's research focuses on energy management of mobile and embedded systems, self-powered computing, and the Internet of Things. His work bridges theoretical AI models with practical implementation on resource-constrained devices, particularly addressing energy efficiency challenges in computing systems. He has published over 250 papers with more than 5,000 citations, an h-index of 39, and a g-index of 64. His recent publications reveal a strong emphasis on dynamic neural networks, intermittent computing for energy-harvesting devices, and hardware acceleration for AI at the edge. His research consistently addresses the challenge of making computing systems more energy-efficient while maintaining performance, particularly for IoT applications and mobile/embedded environments. Vice Chancellor's Award for Public Engagement and Outreach (2019) IEEE R8 'Outstanding Counsellor' award (2013) VC Teaching Award (2011) Multiple Best Paper awards (IJCAI 2013, ICCES 2017, PECCS 2018, ISTM 2023) Professor Merrett currently leads 8 PhD students and has previously graduated 30 PhD students. His research is supported by significant funding including a £1.4M EPSRC Platform Grant on Smart Cities (as Deputy Director), a £1.2M EPSRC International Centre for Spatial Computational Learning (as Southampton PI), and a £5.6M EPSRC PRiME Programme Grant (as Theme Leader). He has been involved in numerous EPSRC-funded projects totaling over £10 million in research funding. He leads a research team focused on energy management and self-powered computing within the Centre for Internet of Things and Pervasive Systems, collaborating closely with industry partners including Arm through the Arm-ECS Research Centre. His team has developed innovative approaches to energy harvesting, intermittent computing, and efficient AI implementation for resource-constrained environments.
Philipp Alexander Raith is a PreDoc Researcher and PhD student at the Distributed Systems Group of the Institute of Information Systems Engineering at Vienna University of Technology (TU Wien). His research focuses on edge intelligence, serverless edge computing, and AI operations, with a strong emphasis on resource optimization and infrastructure management across the edge-cloud continuum. BSc in Software Engineering (2018) from TU Wien MSc in Software Engineering & Internet Computing (2021) from TU Wien Research Interests encompass: Edge Intelligence Serverless Edge Computing AI/ML Operations Resource-aware Scheduling Distributed Systems Computing Continuum Publication Trends highlight his work in edge-cloud orchestration, neural feature compression, and quantum computing integration. Key areas include elasticity, serverless frameworks, and energy-aware architectures. Scientific Awards : UCC 2022 Best Paper Award SEC 2019 Best Demo Award 2020 Netidee Grant Winner Shortlisted for TU Wien Distinguished Young Alumnus Advising : Supervised multiple Master’s theses on edge-cloud autoscaling, AI workloads, mobile edge computing, and resource-aware offloading. Projects : Key contributor to AUTO-Cloud (2013–2025) and RAINBOW (2020–2022) projects.
Francisco Tirado is a Full Professor of Computer Architecture at Complutense University of Madrid since 1986. He has held leadership roles including Vice-Chancellor for Research (2012-2015), Dean of the Faculty of Physics (1994-2002), and Director of the Complutense Supercomputing Center (2002-2007). He is a founding member of the Spanish Society for Computer Science (SCIE) and Spanish Society for Computer Architecture (SARTECO). His research focuses on power-aware computing, heterogeneous systems, bioinformatics, and hardware design automation. He has authored over 242 publications and supervised 15 PhD theses. His professional service includes chairing 138 international conferences and serving on numerous committees for EUROMICRO, IEEE, and national research agencies. Education: No explicit details provided, but has been active at Complutense University since 1978. Affiliations: Member of COSCE Executive Board (2012), IEEE Senior Member (2005), and EUROMICRO Board (1991-2004). Research Interests: - Optimizing energy efficiency in high-performance computing systems - Design of heterogeneous architectures and accelerators - Bioinformatics applications through hardware/software co-design - Parallel programming models for emerging architectures - Automation tools for FPGA and embedded systems development Conference Contributions: Played multiple roles (General Chair, Program Chair) for major events like ParCo, HPCA, and EUROMICRO PDP conferences. Delivered 64 keynote/plenary lectures globally. Scientific Awards: Doctor 'Honoris Causa' from universities in Spain, Paraguay, and Peru 2013 National Computer Science Award IEEE Senior Membership Advising: Supervised 15 PhD students. Active in technology transfer contracts with industry. Labs/Teams: Founder and leader of the ArTeCS research group at Complutense University, specializing in computer architecture and high-performance computing innovations.
Prof. Dr. Thomas Rauber is a Professor at the University of Bayreuth in the Faculty of Mathematics, Physics and Computer Science, where he leads the Chair of Applied Computer Science II – Parallel and Distributed Systems. His research spans several decades with continuous scholarly output, demonstrating significant contributions to parallel computing, high-performance systems, and energy-efficient computation. Rauber maintains strong collaborative relationships with researchers including Gudula Rünger and Matthias Korch, with whom he has co-authored numerous publications. His primary research interests include parallel and distributed systems, high-performance computing, task scheduling, energy efficiency in computing, scientific computing with focus on Runge-Kutta methods and ODE solvers, and performance modeling. Rauber's work has evolved from foundational parallel programming concepts to contemporary concerns about energy consumption in computing systems. His research addresses both theoretical aspects of parallel algorithms and practical implementation challenges on modern architectures. Rauber's publication record shows a clear trend toward energy-aware computing, with recent work focusing on the trade-offs between performance, energy consumption, and solution accuracy. His 2023-2025 publications demonstrate continued innovation in task scheduling, software-defined environments for cloud applications, and optimization of numerical methods for modern multicore processors. His textbook "Parallel Programming for Multicore and Cluster Systems" (now in its third edition) has become a standard reference in the field. While specific grant information isn't detailed in the provided text, Rauber's extensive publication record across multiple decades suggests sustained research funding. His work on projects like TGrid (Runtime environment for heterogeneous systems and grid systems) and investigations into task pools for dynamic load balancing indicates involvement in significant research initiatives. Rauber maintains an active research laboratory focused on parallel and distributed systems, with ongoing projects examining communicating multiprocessor tasks, runtime environments for heterogeneous systems, and self-adaptation techniques for time-step-based simulations on heterogeneous HPC systems. His research group continues to produce influential work at the intersection of theoretical computer science and practical high-performance computing applications.
Prof. Dr.-Ing. Mario Neugebauer is a faculty member at the Faculty of Computer Science/Mathematics at Dresden University of Applied Sciences (HTW Dresden). His teaching areas span fundamental programming, database systems, mobile networks, and communication technologies. Research Focus: Off-road navigation, wearable systems for production/logistics, localization systems, and mobile sensor devices. Thesis Topics: Image analysis for bird conservation, shadow detection on wind turbines, bat monitoring, and mission planning for autonomous robots. Technologies: Rust, ROS2, Kotlin/Spring Boot, Python, Raspberry Pi, C/C++ for microcontrollers, and IEEE 802.15.4 protocols. Teaching Responsibilities: Courses include Programming I/II , Mobile Networks , and Business Informatics and Digitization for Informatik, Medieninformatik, and Umweltmonitoring programs.
Sashank Narain, Ph.D., is an Assistant Professor at the University of Massachusetts Lowell in the Miner School of Computer & Information Sciences, housed within the Kennedy College of Sciences. His research spans cybersecurity with a strong focus on user privacy, mobile security, IoT security, and cyber-physical systems security. He has been instrumental in advancing the understanding of sensor-based side-channel attacks on smartphones and developing robust frameworks for privacy protection. Education: Ph.D. in Information Assurance (2018), Northeastern University, Boston M.S. in Information Assurance (2012), Northeastern University, Boston B.S. in Information Technology (2007), University of Mumbai, India Research Interests: Dr. Narain's primary research delves into the implications of smartphone sensors on user privacy. He investigates how seemingly benign sensors like accelerometers, gyroscopes, and magnetometers can be exploited to infer sensitive information such as passwords and locations. His work highlights the stealthy nature of these sensors, which are often overlooked by mobile operating systems yet can serve as powerful spying tools. Beyond smartphones, he is actively developing security frameworks for drones and smart home devices like vacuum cleaners and refrigerators, aiming to mitigate privacy risks in ubiquitous computing environments. His broader research interests encompass wireless and network security, particularly in analyzing vulnerabilities in contact tracing protocols, GPS spoofing attacks, and traditional threats like clickfraud and clickjacking. He is deeply involved in designing practical systems that enhance the security of Android devices, addressing gaps in current privacy protections. Scientific Awards: While no specific awards are listed in the provided text, his extensive publication record and ongoing research projects indicate significant recognition in the cybersecurity community. Research Projects & Grants: Analysis and Mitigation of Privacy Breaches arising from Android Ad Libraries (Co-Investigator) Effects of Privacy Laws (GDPR and CCPA) on Android App Privacy Practices (Co-Investigator) Security and Privacy Analysis of Contact Tracing Protocols (Co-Investigator) System and Apparatus for Detecting Copycat Apps in Google Play Store (Co-Investigator) System for On-device Detection of Clickfraud attacks on Mobile Devices (Co-Investigator) Labs & Teams: Dr. Narain is associated with the iSAFER (Institute for Security, Assurance, and Forensics Engineering Research) at UMass Lowell, where he collaborates on cutting-edge cybersecurity research and educational initiatives.
Beste Basciftci is an Assistant Professor in Business Analytics at the University of Iowa's Tippie College of Business, Department of Management Sciences. Her research focuses on solving complex operational and strategic problems in energy systems, transportation networks, and predictive maintenance using advanced stochastic and robust optimization techniques. Research Areas: Business Analytics, Operations Research, Stochastic Programming, Energy Systems, Predictive Maintenance, Transportation Planning Contact: beste-basciftci@uiowa.edu Her work addresses critical challenges in multimodal transit systems, hydrogen infrastructure expansion, and energy system planning under uncertainty. Recent publications demonstrate expertise in adaptive optimization frameworks, decision-dependent ambiguity sets, and integrated maintenance/scheduling models for power systems and deep space habitats.
Dr. Michał Klisowski is a Lecturer at the Fundacja Uniwersytetu Marii Curie-Skłodowskiej , affiliated with the Faculty of Mathematics, Physics and Computer Science and the Department of Information Systems Software . His research focuses on cryptography, high-performance computing, and media truth detection. Research Highlights: Cryptographic protocols, energy-efficient computation, media credibility analysis Email: michal.klisowski@mail.umcs.pl His recent publications address topics such as multicore key exchange protocols , RAPL power monitoring , and fake news detection using machine learning. He holds an ORCID identifier and has published in information and communication technology domains. Collaboration & Tools: Utilizes ORCID and Scopus for academic visibility, with a focus on integrating theoretical cryptography with practical computational efficiency.
Gernot Rottermanner is a Researcher at the Media Computing Research Group within the Department of Media and Digital Technologies at St. Pölten University of Applied Sciences' Institute of Creative\Media/Technologies. He has been working at the institution since September 1, 2013, focusing on Usability Evaluation and User Centered Design within various research projects. Rottermanner completed his studies in Media Technology and Digital Media Technologies at St. Pölten University of Applied Sciences from 2008 to 2013, following which he worked as a Student Assistant at the same university from 2011 to 2013 before transitioning to his current research role. His research spans multiple domains including Human-Computer Interaction, Usability Evaluation, Accessibility Technologies, and AI/Machine Learning applications. Rottermanner has made significant contributions to air traffic control systems, accessibility solutions for elderly users, and industrial applications of digital technologies. His work often involves developing and evaluating prototypes for real-world applications, particularly in safety-critical environments and media technology contexts. Analysis of Rottermanner's recent publications (2019-2024) reveals a strong focus on practical applications of HCI principles across diverse domains. His work demonstrates consistent collaboration with industry partners and academic colleagues, with particular emphasis on user-centered solutions for media technology, air traffic control systems, and industrial automation. The publications show an evolution from foundational usability studies toward more complex AI-integrated systems, reflecting broader trends in the field. As a member of the Media Computing Research Group, Rottermanner contributes to numerous research projects including TrustAI, FairMedia, ERIKA, comfort:zone, QUAKE-iP, CLUE, and several iterations of CargoRider platforms. His work often bridges theoretical research with practical implementation, particularly in developing user interfaces for specialized contexts such as aviation and industrial manufacturing.
Henrik Gordon Petersen is a Professor at the Maersk Mc-Kinney Moller Institute within the University of Southern Denmark (SDU), where he is a leading figure in SDU Robotics. With a prolific research output of 86 publications and active involvement in 14 projects including the major MADE REACT initiative (100 million DKK), Petersen's work centers on advancing robotic systems for industrial automation and sustainable production. His expertise spans robot engineering, actuator design, and computer vision with 100% fingerprint concentration in Robotics and significant contributions to Actuator Engineering (77%) and Vision Systems (68%). Petersen's research focuses on practical robotics applications including robot manipulation techniques for peg-in-hole assembly and disassembly in circular economies, precision machining with trajectory correction systems, and computer vision solutions for pose estimation and surface tracking. His work bridges theoretical innovation with industrial implementation through projects like MADE REACT which develops AI-powered resilient manufacturing systems. Recent investigations also explore energy-aware teleoperation and deep learning-based human modeling for physical human-robot interaction. Analysis of his 2022-2024 publications reveals strong trends toward sustainable robotics—designing disassembly systems for circular economies, developing resilient end effectors, and creating correction methods for precision machining. These efforts align with broader industrial resilience goals through integration of digital technologies and AI, particularly evident in the MADE REACT project's focus on flexible production systems. Petersen actively supervises two PhD candidates: Luo R. on safe energy-aware robotic teleoperation (2025-2028) and Zhou Y. on deep learning human modeling for physical human-robot interaction (2024-2027). His substantial grant portfolio includes the 13-year CAPeX project for P2X materials discovery, EUROfusion BB RH DEMO for fusion power control, and the flagship MADE REACT initiative demonstrating consistent success in securing competitive national and EU funding. Based at the Maersk Mc-Kinney Moller Institute, Petersen contributes to SDU Robotics' ecosystem which includes the MADE Open Lab for industry collaboration. This environment enables rapid prototyping and deployment of robotic solutions through strong partnerships with Danish manufacturing, as highlighted in 148 press/media features including the global robotics summer school in Odense and coverage of the MADE React project's 100-million-DKK impact on industrial resilience.
Dr. Ankit Agrawal serves as an Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Saint Louis University. His academic journey includes a Ph.D. in Computer Science from the University of Notre Dame (2022), where he worked under Dr. Jane Cleland-Huang. Prior to his current position, he conducted research on drone surveillance systems and human-machine interfaces for search and rescue operations. Dr. Agrawal's research focuses on the intersection of Software Engineering and Safety-Critical Systems, with particular emphasis on Cyber Physical Systems, CPS Safety, and Simulation. His work bridges theoretical foundations with practical applications in autonomous aerial platforms. Current research areas include Software Validation for testing and verification of cyber-physical systems, Simulation modeling of complex socio-technical systems, Requirements Engineering for safety-critical systems, and Human-Computer Interaction design for complex technical systems. His recent publications demonstrate a strong trend toward integrating AI and simulation technologies for validating autonomous drone systems. Research increasingly focuses on human-drone collaboration in emergency response scenarios, safety validation in realistic environmental conditions, and leveraging large language models for automated testing. The work spans both theoretical frameworks and practical tool development, with emphasis on bridging simulation-to-reality gaps. Honorable Mention at CHI Conference 2024 for HIFuzz: Human Interaction Fuzzing for small Unmanned Aerial Vehicles Best Paper at SPLC Conference 2020 for Requirements-Driven Configuration of Emergency Response Missions with Small Aerial Vehicles Fifth Place in Poster Presentation Award at NASA ImaginAviation 2024 Dr. Agrawal actively mentors graduate and undergraduate students through his UAV Research Lab at Saint Louis University. His lab currently supports multiple Ph.D. and Masters students working on projects including DroneReqValidator, DroneResponse, and React-G. The lab has secured research funding for projects related to drone safety validation and human-autonomy teaming, with collaborations including NASA Langley Research Center. Dr. Agrawal has served on program committees for major conferences including ASE, ICSE, and Requirements Engineering. The UAV Research Lab at Saint Louis University investigates software systems for autonomous aerial platforms, with three primary research thrusts: Software Engineering for Autonomous Systems (developing reliable software architectures and testing frameworks), Human-Autonomy Interaction (designing intuitive interfaces for human oversight), and Intelligent Software Systems (building AI-powered solutions for dynamic environments). The lab maintains active collaborations with NASA and emergency response organizations.
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