جست‌وجوی استاد و پژوهشگر

Virginia Dignumمشاهده پروفایل

استاد

• Responsible Artificial Intelligence
• AI Ethics and Governance
• Human-Agent Teamwork
• +۲ مورد دیگر

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 Wiermanمشاهده پروفایل

استاد

• Sustainable Networked Systems
• Machine Learning
• Optimization
• +۵ مورد دیگر

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.

Hadi Susantoمشاهده پروفایل

استاد

• Dynamical Systems
• Nonlinear Waves
• Mathematical Modelling
• +۵ مورد دیگر

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 Merrettمشاهده پروفایل

استاد

• Energy management of mobile/embedded systems
• Self-powered computing
• Internet of Things
• +۴ مورد دیگر

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.

Yang Pengمشاهده پروفایل

دانشیار

• Internet of Things
• Edge Computing
• Wireless Sensor Networks
• +۲ مورد دیگر

Yang Peng is an Associate Professor at the University of Washington Bothell , affiliated with the School of Science, Technology, Engineering & Mathematics and the Division of Computing & Software Systems . His research focuses on cyber-physical systems , Internet of Things , and energy-efficient wireless sensor networks . Education: Ph.D. in Computer Science (2014), Iowa State University M.S. in Computer Science (2008), Washington State University B.E. in Electrical Engineering (2006), Beijing University of Posts and Telecommunications Yang Peng’s research spans device, application, and network protocol designs for self-sustainable IoT systems, including RF-powered wireless networks , implantable body area networks , and edge computing architectures . His work addresses energy efficiency, delay guarantees, and cross-interface scheduling in networked systems. Recent publications highlight trends in serverless computing for IoT, VANET-based data transportation , and energy-aware protocol design . He has secured grants from Microsoft Azure , University of Washington Student Technology Fee Fund , and CSS Graduate Research Fund , totaling over $40,000. Scientific Awards: Best Paper Award, IEEE Wireless Communications and Networking Conference (WCNC'15) Yang Peng advises graduate students working on IoT and edge computing projects, with many alumni employed at Amazon , Microsoft , and Nordstrom . He teaches courses like Network Design , Internet of Things , and Embedded Systems , emphasizing practical implementation and research methods.

• Algorithms
• Planning
• Constraints
• +۷ مورد دیگر

Mathijs de Weerdt is a Full Professor at Delft University of Technology, leading the Algorithmics Group within the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on developing advanced algorithms for planning and scheduling under uncertainty, with applications in energy systems, railway logistics, satellite operations, and agricultural supply chains. He bridges fundamental AI research with practical implementations through collaborations with Dutch National Railways (NS), Shell Recharge, and industry partners. Education: PhD in Multi-Agent Plan Merging (2003), MSc in Computer Science (Utrecht University, cum laude) Research Interests: Robustness in AI, Scalability of Optimization Algorithms, and Multi-Party Coordination His work integrates Stochastic Programming , Reinforcement Learning , and Constraint Programming to address challenges in energy transition and transportation. Recent 15 most recent publications emphasize surrogate modeling for EV charging optimization, multi-agent pathfinding in railways, and dynamic programming for decision trees. Scientific Awards: Recipient of the Erasmus Energy Forum Science Award (2016), Best Teacher Award in Delft Computer Science (2015), and honorable mentions for dissertation and paper awards. As a promotor , he guides over 20 PhD candidates in projects spanning smart grid algorithms, train unit shunting, and strawberry supply chain optimization. He leads large-scale initiatives like the NWO ESI-FAR project and co-chairs the Dutch AI Coalition's Energy & Sustainability working group.

• Embedded Systems Design
• Low-Power Design
• VLSI Architecture for Image Processing
• +۴ مورد دیگر

Pasquale Corsonello is a Professor of Electronics at the Department of Informatics, Modeling, Electronics and System Engineering (DIMES) , University of Calabria. He has held academic positions at the University of Reggio Calabria and the University of Rochester (Adjunct Associate Professor). His career spans over three decades in digital electronics, VLSI design, and low-power systems. Education: Master's in Electronic Engineering, University of Naples “Federico II” (1988) Key Roles: Editor-in-Chief (Journal of Low Power Electronics), Senior Area Editor (IEEE Transactions on Circuits and Systems II), Steering Committee Member (IEEE Transactions on VLSI Systems) Research interests include: Embedded systems and low-power design for IoT VLSI architectures for image processing and neural networks FPGA-based accelerators for real-time applications Quantum-dot cellular automata (QCA) circuits His recent publications focus on energy-efficient FPGA implementations, approximate computing for imaging, and QCA-based arithmetic circuits. He has co-authored over 180 technical articles and holds three patents. Awards : BEST ASSOCIATE EDITOR IEEE CASS AWARD (2016) GOLDEN LEAF Certificate (PRIME 2019) Multiple BEST PAPER AWARDS at ICECS, CENICS, and PRIME Top 25 Downloaded Articles (IEEE Transactions on VLSI Systems) Leadership : Coordinated PhD programs in Information and Communication Technologies Directed research units in projects exceeding €8M in funding Member of editorial boards for IEEE Transactions and Electronics journal He leads the Nanoelectronics and Microsystems research group , which integrates material characterization, IC design, and system-level electronics for applications in power systems and photovoltaics.

John Nelsonمشاهده پروفایل

استاد

• Biomedical Engineering
• Activity Recognition
• Wireless Sensor Networks
• +۵ مورد دیگر

John Nelson is a Professor at the University of Limerick's Department of Electronic and Computer Engineering, part of the Faculty of Science and Engineering. His contact information includes email john.nelson@ul.ie and phone +353-(0)61-202358, with office location D2-025. His primary research interests focus on biomedical applications of engineering principles, particularly in: Medical device development including pulse oximetry and therapeutic technologies Activity recognition systems using wearable sensors and accelerometers Wireless body area networks for health monitoring AI applications in healthcare and public systems Fall detection and mobility monitoring for assisted living Mobile health frameworks for psychological interventions Analysis of his 15 most recent publications (2014-2021) reveals three dominant themes: Medical sensing technologies for pulse oximetry, aneurysm monitoring and ultrasound imaging AI/Deep Learning applications ranging from public space analysis to ethical enforcement systems Comprehensive activity recognition frameworks using multi-sensor fusion The research consistently demonstrates interdisciplinary collaboration across medicine, computer science and psychology. No awards, students, or lab/team information is available in the provided materials.

Raffaele Bollaمشاهده پروفایل

استاد

• Cyber Security
• Machine Learning
• 5G/6G Networks
• +۵ مورد دیگر

Raffaele Bolla is a Full Professor at the Department of Naval, Electrical, Electronic and Telecommunication Engineering (DITEN) within the University of Genova, School of Engineering. He specializes in telecommunications, with research focusing on energy efficiency, 5G/6G networks, network virtualization, and green technologies. He coordinates the Master's Degree program in Telecommunications Engineering and teaches courses including Cyber Security , Internet and Multimedia Engineering , and Wireless Networks (5G) and Cloud/Edge Computing . Research Interests: Energy-efficient network design 5G/6G network virtualization Machine learning for network optimization Sustainable telecommunications Human-machine interaction in industrial networks Smart grid technologies His recent publications address container scaling, network observability, and power consumption in next-generation networks. He leads projects like RESTART and contributes to standards in energy-efficient networking.

Torsten Klieمشاهده پروفایل

پژوهشگر

• Cyber-physical systems
• Autonomic Communication
• Policy-based management
• +۴ مورد دیگر

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.

• Digital Media Ethics
• Religion and Technology
• Contemplative Media Studies
• +۳ مورد دیگر

Kevin Healey serves as Associate Professor in the Department of Communication at the University of New Hampshire, where his work bridges media studies, religious studies, and digital ethics. His research critically examines moral frameworks in social media, virtual reality, and Silicon Valley ideologies through the lens of contemplative traditions and prophetic critique. Education: B.A. from Drew University M.A. in Media Studies/History from The New School Ph.D. in Communications from University of Illinois at Urbana-Champaign Professor Healey's research centers on the ethical and religious dimensions of digital culture, with particular focus on how contemplative practices can inform technology design and usage. His scholarship challenges dominant narratives in digital humanism through prophetic critique, examining tensions between technological innovation and moral reflection in areas like social media ethics, virtual reality, and algorithmic accountability. He investigates how digital platforms reshape spiritual experience and moral discourse while advocating for wisdom traditions in technological development. Analysis of his 2015-2024 publications reveals consistent exploration of digital ethics through contemplative frameworks, with recent work addressing post-pandemic technology relationships, women's voices in digital spaces, and multisensory truth-seeking methods. His scholarship demonstrates interdisciplinary reach across media studies, religious studies, and critical technology studies while maintaining focus on moral accountability in digital environments. Scientific Awards: No scientific awards listed in source material Information about graduate student advising and research grants was not provided in available materials. The source contains no details regarding laboratory affiliations, research teams, or collaborative projects, though his publications suggest engagement with interdisciplinary scholarly communities through journals like Journal of Media Ethics and Television & New Media .

• Parallel and Distributed Systems
• High-Performance Computing
• Parallel Programming
• +۷ مورد دیگر

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.

Mario Neugebauerمشاهده پروفایل

استاد

• Wireless Sensor Networks
• Mobile Systems
• Robotics
• +۴ مورد دیگر

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 Narainمشاهده پروفایل

استادیار

• User Privacy
• Mobile Security
• Network Security
• +۷ مورد دیگر

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 Basciftciمشاهده پروفایل

استادیار

• Business Analytics
• Operations Research
• Stochastic Programming
• +۳ مورد دیگر

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.