جست‌وجوی استاد و پژوهشگر

Daniel Hellwigمشاهده پروفایل

استاد

• Blockchain
• Supply Chain Management
• Production Management
• +۲ مورد دیگر

Dr. Daniel Hellwig serves as Professor and Chair of Production Management within the Supply Chain Management Group at WHU - Otto Beisheim School of Management in Vallendar, Germany. His academic expertise is complemented by his professional role as Principal at Kepler Cannon in New York since 2014, demonstrating a strong integration of theoretical research and practical business applications in the field of supply chain innovation. His educational background includes: M.Eng. from University of California at Berkeley (2013) B.S.E. from The Wharton School, University of Pennsylvania (2011) Dr. Hellwig's research focuses on blockchain technology applications in supply chain management, with particular emphasis on distributed ledger systems for trade finance, resource allocation, and supply chain resilience. His work bridges technical blockchain implementation with business process optimization, exploring how cryptographic techniques like fully homomorphic encryption can enable secure information sharing among competing retailers. He has developed innovative simulation frameworks such as the DISASTER token trading game to study supply chain behavior during crises, demonstrating practical applications of theoretical concepts. His publication trajectory reveals an evolution from foundational blockchain concepts to increasingly sophisticated supply chain applications. Early works established fundamental blockchain knowledge through comprehensive guides, while recent research focuses on behavioral aspects of blockchain-enabled markets and privacy-preserving technologies for supply chain collaboration. This progression demonstrates both technical depth and growing business relevance in his scholarly contributions. As an educator, Dr. Hellwig has been a consistent guest lecturer at WHU since 2018, teaching blockchain programming and introduction courses at both bachelor's and master's levels. His teaching approach emphasizes practical implementation alongside theoretical understanding, reflecting his dual expertise in academic research and professional consulting. He frequently collaborates with Goran Karlic and Professor Arnd Huchzermeier, suggesting strong research partnerships within WHU's Supply Chain Management Group.

Sriram Krishnamoorthyمشاهده پروفایل

استاد پژوهشی

• Parallel Programming Models
• Fault Tolerance
• High-Performance Computing
• +۶ مورد دیگر

Sriram Krishnamoorthy is a Research Professor at Washington State University's School of Electrical Engineering & Computer Science and a research scientist at Pacific Northwest National Laboratory (PNNL), where he serves as the System Software and Applications Team Leader in PNNL's High Performance Computing group. Dr. Krishnamoorthy earned his B.E. from the College of Engineering, Guindy in Chennai, India, and his M.S. and Ph.D. degrees from The Ohio State University. He is a senior member of the Institute of Electrical and Electronics Engineers. His research focuses on parallel programming models, fault tolerance, and compile-time/runtime optimizations for high-performance computing. He has made significant contributions in areas including: Fault tolerance techniques that minimize rollback during failures Dynamic load balancing for irregular parallel applications Compiler and runtime optimizations for HPC applications GPU programming and heterogeneous computing Quantum chemistry simulations and quantum computing Dr. Krishnamoorthy's publications span computational science, high-performance computing, and quantum chemistry. His recent work shows strong trends toward quantum computing applications, fault tolerance in large-scale systems, and optimization of computational chemistry methods. He has developed techniques for density matrix quantum circuit simulation, floating-point error analysis, and scalable execution of coupled-cluster models. His scientific achievements have been recognized with several prestigious awards: Best Paper Award at International Conference on High Performance Computing (HiPC'03) Best Paper Award at International Parallel and Distributed Processing Symposium (IPDPS'04) U.S. Department of Energy Early Career award (2013) PNNL's Ronald L. Brodzinski Award for Early Career Exceptional Achievement (2013) The Ohio State University's Outstanding Researcher award (2008) Dr. Krishnamoorthy has advised numerous graduate students and collaborated extensively with researchers across computational science domains. His work on the NWChem project demonstrates significant grant funding and large-scale collaborative research efforts in computational chemistry. He leads research efforts in PNNL's High Performance Computing group, focusing on system software and applications development for next-generation supercomputing platforms.

• Blockchain Technology
• Distributed Systems
• Wireless Sensor Networks
• +۳ مورد دیگر

C.U. Ileri is a researcher at Delft University of Technology's Data-Intensive Systems department within the College of Electrical Engineering, Mathematics and Computer Science. His work focuses on blockchain systems, distributed algorithms, and wireless sensor networks. Research Areas: Blockchain, Web3, Sybil attack mitigation, fault-tolerant algorithms, wireless sensor networks Key Contributions: Developed latency-based Sybil defense mechanisms, blockchain interoperability protocols (XChange), and capacitated graph algorithms for WSNs His publications span blockchain-based federated learning, zero-knowledge identity frameworks, and distributed graph optimization techniques. Recent work explores IOTA 2.0's finality guarantees and zkSSI's privacy-preserving capabilities. Collaborations include joint datasets with Q. Stokkink and J. Pouwelse, focusing on latency measurements and reputation system prototypes. Research outputs demonstrate expertise in balancing security, efficiency, and scalability in decentralized systems.

Kuan-Hsun Chenمشاهده پروفایل

استادیار

• Computer Architecture
• Embedded Systems
• Real-Time Systems
• +۵ مورد دیگر

Kuan-Hsun Chen is an Assistant Professor specializing in Computer Architecture Design for Embedded Systems Real-Time Systems Non-Volatile Memory (NVM) Optimization Machine Learning and Edge AI His research focuses on bridging hardware-software gaps in real-time embedded applications through innovative architectural solutions. Research highlights include: Decision Tree Optimization for Real-Time Inference Wear-Leveling Techniques in NVM Probabilistic Timing Guarantees GPU-Accelerated Graph Algorithms Security-Enhanced NVM Designs He explores theoretical foundations while emphasizing practical implementations in autonomous systems and cyber-physical platforms. Scientific achievements: Best Paper Award (2023) Outstanding Paper Award (2023) Outstanding Reviewer Award (2024) His work spans algorithm design, hardware-software co-optimization, and rigorous system validation through fault injection and simulation frameworks.

• Intelligent Informatics
• Computer Systems
• Agent-based Systems
• +۳ مورد دیگر

Takahiro Uchiya serves as Professor at Nagoya Institute of Technology, holding dual appointments in the Department of Information Engineering within the Faculty of Engineering and the Information Technology Center. His academic leadership spans agent-oriented knowledge engineering and intelligent informatics, with recent focus on disaster response robotics and multi-agent systems development. Uchiya completed his academic foundation at Tohoku University through a rigorous progression: Bachelor of Engineering, Faculty of Engineering (1999) Master of Information Science, Graduate School of Information Science (2001) Doctor of Information Science, Graduate School of Information Science (2004) His research centers on agent-oriented knowledge representation, problem solving, and acquisition techniques, with significant extensions into cyber society software platforms and social knowledge applications. Recent investigations reveal a pronounced shift toward practical disaster management solutions, including robot-guided evacuation systems and BLE-based positioning technologies. This trajectory demonstrates consistent innovation in translating theoretical multi-agent frameworks into real-world emergency response tools. Uchiya's scientific contributions have earned recognition including the BWCCA2024 Best Paper Award and IEEE CES West Japan Chapter Young Researcher Award. His award portfolio spans both Japanese and international venues, reflecting broad scholarly impact. Through committee roles in the Information Processing Society of Japan and Institute of Electronics, Information and Communication Engineers, Uchiya actively shapes academic discourse. His societal engagement manifests in developing voice dialogue systems for elderly care and robotics programming workshops for schoolchildren, bridging academic research with community needs through events like Science Agora 2018.

Laurie Rickerمشاهده پروفایل

استاد

• Discrete-Event Systems
• Formal Methods
• Decentralized Control
• +۳ مورد دیگر

Dr. Laurie Ricker is Professor and Computer Science Program Advisor in the Department of Mathematics and Computer Science at Mount Allison University. Her research specializes in formal methods for discrete-event systems, focusing on decentralized control, communication protocols, and security properties like opacity enforcement. Her work develops theoretical frameworks for distributed supervisory control, addressing challenges in observability, communication delays, and coordination of decentralized agents. Recent publications advance verification algorithms for inferencing in supervisory control, mutual opacity in multi-adversary scenarios, and synthesis of communication protocols for pseudo-synchronous systems. Key contributions include development of parity-based architectures for decentralized control, methods for opacity enforcement under powerful attackers, and robustness analysis of communication protocols with bounded delays. Dr. Ricker's work bridges theoretical foundations with practical applications in distributed systems security and control.

• Computer Engineering
• Fault-Tolerant Computing
• Asynchronous Logic
• +۷ مورد دیگر

Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.

Ming Ming Tanمشاهده پروفایل

مدرس

• Distributed Computing
• Cryptography
• Cloud Computing
• +۳ مورد دیگر

Ming Ming Tan is an academic professional affiliated with the School of Computer and Cyber Sciences and the Department of Computer & Cyber Sciences . Her expertise spans computer science, mathematics, and distributed systems. Education : Ph.D. in Mathematics and B.S. in Applied Mathematics from Nanyang Technological University. Teaching : Courses include Intro to Computers & Programming and Principles of Cryptography . Her research focuses on distributed computing , cryptographic algorithms , and cloud infrastructure optimization . Recent work explores leader election tradeoffs, energy-efficient cloud scheduling, and mathematical structures in network security. Scholarship highlights include publications in distributed systems (2023), cloud computing (2017–2019), and combinatorial mathematics (2018). She contributes to academic service through mentorship and conference peer reviewing, including roles at SIROCCO, KDD Undergraduate Consortium, ICDCIT, and IPDPS.

Tirado Franciscoمشاهده پروفایل

استاد

• Power Aware Computing
• Heterogeneous Computing
• Applications optimization
• +۴ مورد دیگر

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.

Genki Miyauchiمشاهده پروفایل

پژوهشگر

• Swarm Robotics
• Multi-robot Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Genki Miyauchi is a Researcher in the Department of Automatic Control and Systems Engineering at the University of Sheffield. His work focuses on swarm robotics, multi-robot systems, and human-swarm interaction. He is completing his PhD at the University of Sheffield, with an expected thesis submission in 2023. He holds an MSci in Robotics and Intelligent Systems from King's College London (2019). Research interests include scalable robotic systems, energy-efficient swarm strategies, and multi-operator control mechanisms. His recent work explores connectivity-preserving swarm control, energy management for heterogeneous drone fleets, and human-swarm collaboration paradigms. He has contributed to projects like CapBot (battery-free swarm robotics) and modular robotic fabrics using Kilobot platforms. Publications highlight advancements in swarm coordination, platooning strategies for crowded environments, and experimental studies on human-robot teamwork in agriculture. His research bridges theoretical control frameworks with practical applications in autonomous systems and cooperative robotics. Genki collaborates with leading institutions and has presented at top conferences like IROS and ICRA. His work emphasizes scalability, usability, and energy sustainability in robotic systems.

Viveck Cadambeمشاهده پروفایل

دانشیار

• Information Theory
• Secure Machine Learning
• Cloud Storage Systems
• +۴ مورد دیگر

Prof. Viveck Cadambe is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Institute of Technology. He holds a Ph.D. from the University of California, Irvine (2006), and was a postdoctoral researcher at Boston University and MIT's Research Laboratory of Electronics (2011–2014). His research focuses on theoretical and applied aspects of information theory, with applications to secure machine learning, distributed systems, wireless networks, and cloud storage. He leads the LITES Lab, which develops foundational algorithms and systems for information processing. Key research areas include privacy-preserving computation, coded distributed storage, and interference alignment in wireless networks. His work bridges theoretical analysis (e.g., information-theoretic limits) and practical implementations (e.g., prototyping distributed systems). Prof. Cadambe has received multiple awards, including the 2009 IEEE Information Theory Society Best Paper Award, 2016 NSF Career Award, and a 2019 Google Faculty Award. He serves as an Associate Editor for IEEE Transactions on Communications. His lab actively explores topics such as Secure multiparty computation with differential privacy Geo-distributed storage systems (e.g., LEGOStore) Coded computing for fault-tolerant distributed algorithms Recent research highlights include Optimal recovery thresholds for coded matrix multiplication Latency-optimized storage schemes for distributed systems Adversarial-resistant decentralized machine learning frameworks His contributions span theoretical insights, algorithm design, and system prototyping, emphasizing practical scalability and robustness.

• Hybrid Systems
• Networked Control Systems
• Model Predictive Control (MPC)
• +۵ مورد دیگر

Prof. W.P.M.H. (Maurice) Heemels is a Full Professor at the Eindhoven University of Technology in the Mechanical Engineering department, leading the Control Systems Technology group. His work focuses on hybrid systems , networked control , and model predictive control (MPC) with applications in cyber-physical systems , precision agriculture , and cancer treatment optimization . PhD in Mathematics (1999) and MSc in Mathematics (1995) from TU/e Assistant Professor at TU/e Electrical Engineering (2000-2004) Research Fellow at Embedded Systems Institute (2004-2006) His research addresses resource-aware control strategies to replace traditional time-triggered systems with event-triggered schemes , enabling efficient use of computational and communication resources. Applications span automated driving , precision agriculture , thermal control in lithography , and nuclear fusion reactors . He has developed innovative hybrid integrator-gain systems (HIGS) and reset controllers to overcome limitations of linear time-invariant controllers. Model predictive control is a core methodology, applied to hyperthermia treatments, wafer scanner thermal control, and drone-based farming systems. His 2025 publications emphasize networked control for nuclear fusion, safety-critical MPC in autonomous vehicles, and data-driven control barrier functions for nonlinear systems. Key trends include hybrid systems theory , resource-aware control , and scalable optimization for large-scale applications. 2025: DISC PhD Award for Stefan Heijmans 2019: EECI European PhD Award for Victor Dolk 2017: Best Paper Award @ EBCCSP Conference 2014: Automatica Outstanding Service Award 2000: ASML-award for best fundamental PhD thesis He has supervised 88+ students and secured over 7 MEuro in research funding from NWO, EU, and industry. His Control Systems Technology group operates labs including the Automotive Engineering Science Laboratory and Robotics Laboratory , contributing to the UN Sustainable Development Goals for sustainable cities and climate action through cyber-physical systems.

• Neuroscience
• Molecular Biology
• Neurodevelopmental Disorders
• +۳ مورد دیگر

Hong Li is an Associate Research Scholar in the Department of Neuroscience at Yale University's Yale School of Medicine. Their research focuses on molecular mechanisms of cortical developmental malformations in neurodevelopmental and psychiatric disorders, employing animal models and integrative methodologies including molecular biology, genetics, morphology, and transcriptomics. Dr. Li holds a DPhil from the University of Helsinki (2007) and an MD from Anhui University (1997). Their work aims to advance understanding of neuropsychiatric diseases and develop therapeutic strategies. Educational Background: DPhil in Neuroscience, University of Helsinki (2007) MD, Anhui University (1997) Research Interests: Investigating molecular pathways underlying cortical development abnormalities, with emphasis on translational research to bridge basic science and clinical applications. Techniques include advanced genetic engineering, transcriptomic profiling, and cross-disciplinary approaches combining neuroscience and molecular biology. Advising & Grants: No specific grants or trainees listed in available materials, though their publications suggest collaborative research in quantum computing, embedded systems, and telecommunication networks. Recent work includes cross-domain contributions to quantum error correction systems and LLM-based robotic applications. Professional Contributions: Active in systems engineering, publishing on operating systems design, FPGA-based quantum decoders, and secure memory management. Their work bridges biomedical research with computational and hardware innovations.

• Fault-tolerant distributed systems
• Modal logic
• Dynamic epistemic logic
• +۳ مورد دیگر

Roman Kuznets is a Senior Researcher in the Department of Theoretical Computer Science at the Institute of Computer Science of the Czech Academy of Sciences. He also serves as the Principal Investigator of the FWF-funded project ByzDEL at TU Wien's Faculty of Informatics, focusing on reasoning about knowledge in Byzantine distributed systems. His research interests span fault-tolerant distributed systems, modal logic, dynamic epistemic logic, structural proof theory, interpolation, and justification logic. He is a key member of the bilateral PANDAFOREST project funded by GA ČR and FWF, exploring proof analysis and automated deduction in recursive structures. His work often bridges theoretical foundations with practical applications in distributed computing, epistemic systems, and formal verification. Recent contributions include advancements in simplicial complex modeling for knowledge representation and decidability results for intuitionistic S4. In 2023, he presented at multiple venues including TABLEAUX, GandALF, and Dagstuhl Seminars, with talks on topics like uniform interpolation, decidability of intuitionistic modal logics, and simplicial semantics. His research frequently involves collaborations with institutions like TU Wien and international researchers in logic and distributed systems. Kuznets' projects emphasize both foundational logic research and applied aspects of fault tolerance, with a focus on formal methods for ensuring correctness in complex systems. His work is disseminated through conferences, workshops, and collaborative seminars, reflecting his role at the intersection of academia and applied research.

Hillol Karguptaمشاهده پروفایل

استاد

• Distributed Data Mining
• Ubiquitous Data Mining
• Privacy-Preserving Data Mining
• +۷ مورد دیگر

Professor Hillol Kargupta is a faculty member in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. He received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 1996 and co-founded AGNIK LLC, a ubiquitous data analytics company. His research spans distributed and ubiquitous data mining, sensor networks, privacy-preserving techniques, sustainable computing, and security applications. Research Interests : Mobile/distributed data mining, vehicular sensor networks, peer-to-peer systems, privacy-preserving algorithms, data stream analysis, and societal impacts of knowledge discovery Education : Ph.D. in Computer Science (1996), University of Illinois at Urbana-Champaign His work addresses privacy-preserving data mining with random perturbation techniques, distributed eigen-monitoring for astronomy data streams, and asynchronous P2P algorithms for clustering/classification. Recent publications focus on greenhouse emissions analysis , scalable outlier detection , and secure distributed inferencing . Scientific awards include: 2013 Frost & Sullivan Award (Agnik LLC) 2010 IEEE Fellow Top-10 Data Mining Case Study (ICDM'2010) 2008 IBM Innovation Award 2007 NSF Next Generation Data Mining Symposium 2003 IEEE Data Mining Best Paper Award