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Liping Liu is a Professor in the Department of Management at The University of Akron's College of Business. He holds a Ph.D. in Business from the University of Kansas (1995), Master of Engineering in Systems Engineering (1991), and dual bachelor's degrees in Applied Mathematics (1986) and River Dynamics (1987). Ph.D., University of Kansas MS, Huazhong University of Science and Technology B.E., Wuhan University BS, Huazhong University of Science and Technology His research spans Artificial Intelligence , Electronic Business , Systems Analysis , Data Quality , and Belief Function Theory . He pioneered coarse utility theory and linear belief functions , now taught in top Ph.D. programs across multiple disciplines. Key trends in his publications include Belief Function Applications (2012-2024), Medical Data Systems (2003-2015), and Decision Theory (2004-2014). Recent works focus on Gamma Belief Functions (2024) and computational improvements in linear belief function operations (2019-2016). Scientific contributions recognized via: Microsoft Azure Educator Grant (2014-2016) Inclusion in Who's Who in America (2010-2013) and Who's Who in the World (2011-2013) As an editor and committee member for major conferences (INFORMS, AMCIS, Belief Functions conferences), he bridges academic research with practical systems implementation in e-business and healthcare domains.

• Uncertainty Reasoning and Decision Making in Artificial Intelligence
• Electronic Business
• Systems Analysis and Design
• +7 more

Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, College Park, with an appointment in the University of Maryland Institute for Advanced Computer Studies. He leads the Data Systems Lab at Maryland (DSLAM) and has made significant contributions to database system architecture and implementation, particularly in scalable and distributed systems. Prof. Abadi's research focuses on database system architecture, especially at the intersection with scalable and distributed systems. He is best-known for the development of the storage and query execution engines of the C-Store (column-oriented database) prototype, which was commercialized by Vertica and eventually acquired by Hewlett-Packard, and for his HadoopDB research on fault tolerant scalable analytical database systems which was commercialized by Hadapt and acquired by Teradata. His current work includes deterministic distributed systems like Calvin and SLOG, which provide strictly serializable, low-latency, geographically replicated database transactions. Analysis of his recent publications reveals a strong focus on modern database challenges including transaction processing, distributed systems architecture, data mesh concepts, schema evolution, and IoT data management. His work consistently addresses the tension between consistency, availability, and performance in distributed database systems, with recent emphasis on moving beyond traditional two-phase commit protocols and exploring novel approaches to data architecture like data mesh. ACM Fellow Sloan Research Fellowship Churchill Scholarship NSF CAREER Award VLDB Best Paper Award Two VLDB Test of Time Awards (for C-Store and HadoopDB) 2008 SIGMOD Jim Gray Doctoral Dissertation Award 2013-2014 Yale Provost's Teaching Prize 2013 VLDB Early Career Researcher Award PhD dissertation advisor for Alexander Thomson and Jose Falerio, whose dissertations won SIGMOD Jim Gray Doctoral Dissertation Awards in 2015 and 2020 respectively Prof. Abadi has advised multiple PhD students, including Alexander Thomson and Jose Falerio, both of whom received the prestigious SIGMOD Jim Gray Doctoral Dissertation Award. His research has been supported by numerous grants including NSF funding for projects like SLOG. He maintains an active presence in the database community through his widely-read blog DBMS Musings and through service on program committees for major conferences including SIGMOD, VLDB, and CIDR. He leads the DSLAM research group at the University of Maryland, which focuses on cutting-edge database system research with strong industry connections and practical impact.

• Database System Architecture
• Distributed Database Systems
• Scalable Transaction Processing
• +3 more

Michael J. Freedman is the Robert E. Kahn Professor of Computer Science at Princeton University and co-founder/CTO of Timescale. He received his Ph.D. from NYU’s Courant Institute and degrees from MIT. Current roles: Professor, Co-founder & CTO Affiliations: Princeton University, SNS Group, CITP Associate Education: Ph.D. (NYU), S.B./M.Eng. (MIT) His research spans distributed systems, networking, and security, with innovations like CoralCDN, DONAR, and Ethane. His work impacts decentralized content delivery, software-defined networking, and privacy-enhancing technologies. His recent publications address scalable fusion algorithms, GPU acceleration for data systems, and distributed GPU resource management. These works intersect with cloud infrastructure, network optimization, and security. Scientific honors include: Presidential Early Career Award for Scientists and Engineers (PECASE) Sloan Fellowship NSF CAREER Award Office of Naval Research Young Investigator Award Test of Time Award (Theory of Crypto Conference) ACM SIGOPS Mark Weiser Award He advises graduate students like Sam Ginzburg and Ashwini Raina, who joined Meta AI and Timescale post-PhD. His projects have secured substantial grants, including $110M Series C funding for Timescale. Key labs/teams: Princeton SNS Group Co-founder, Timescale (enterprise data platform) Co-founder, iobeam (IoT analytics, acquired by Timescale) Collaboration with FCC on Consumer Broadband Test Contributions to OpenFlow/SDN standardization

• Distributed Systems
• Networking
• Security
• +4 more

Hiroyuki Iseki is Associate Professor of Urban Studies and Planning at University of Maryland's School of Architecture, Planning and Preservation, and Research Affiliate with the National Center for Smart Growth. His work examines interactions between transportation, land use, equity, and environmental sustainability. Research focuses on: Transit-oriented development impacts on firm location Equity in public transit finance Climate policy implementation in urban planning Active transportation infrastructure analysis Recent publications analyze post-pandemic transit demand shifts, campus multimodal conflicts, and bicycle accessibility modeling. Methodological strengths include spatial econometrics, GIS analysis, and longitudinal data approaches. Work increasingly addresses climate adaptation in transportation planning and EV charging grid impacts. Research contributes to urban policy through WMATA collaborations and Japanese municipal climate planning studies. Current PhD program directorship advances urban planning analytics training.

• Transportation Equity
• Land Use Planning
• Transit-Oriented Development
• +2 more

Susan Powers is a Professor of Civil & Environmental Engineering at Clarkson University, where she also serves as the Spence Professor of Sustainable Environmental Systems, Director of the Institute for a Sustainable Environment, and Associate Director of Sustainability. She earned her Ph.D. in Environmental Engineering from the University of Michigan in 1992. Research Interests: Dr. Powers specializes in lifecycle assessment and environmental impact metrics for energy systems, with recent interdisciplinary work on anaerobic digestion for food waste management and smart housing to encourage energy conservation. Her educational research integrates project-based learning to enhance energy and climate change literacy across K-12 and college levels. Scientific Awards: AEESP Distinguished Service Award (2019) AEESP Fellow (2019) Spirit of Entrepreneurship Award (2012) Premier Curriculum Award for K-12 Engineering (2009) NSF Directors Award – Distinguished Teaching Scholar (2004) Grants & Educational Leadership: Dr. Powers has led multiple education-oriented grants, including the NSF Distinguished Teaching Scholars award, to develop project-based modules for sustainability education. She actively incorporates campus sustainability initiatives into student projects to teach real-world environmental problem-solving.

• Lifecycle Assessment
• Energy Systems
• Environmental Impact Metrics
• +7 more

Chee-Wooi Ten is a tenured Professor in the Department of Electrical and Computer Engineering at Michigan Technological University, where he has served since 2010 and achieved tenure in 2016. He concurrently holds an Affiliated Professor appointment in Applied Computing and directs both the PSERC Site and ICC CPS Center. His institutional roles emphasize cyber-physical security integration within power infrastructure. His educational background includes: PhD in Electrical Engineering from University College Dublin (2009) MSc in Electrical Engineering from Iowa State University (2001) BSc in Electrical Engineering from Iowa State University (1999) Ten's research pioneers cyber-informed security engineering strategies for bulk power systems, focusing on quantifying rare events through system risk models and data science. His work bridges power grid interactions with robotics and transportation systems to advance decarbonization and electrification. Key methodologies include validating cyber-physical security frameworks against steady-state and dynamic grid approaches, with emphasis on attack/defense combinatorics and smart home technologies. This transdisciplinary approach supports the fourth industrial revolution's resilience requirements. His publication trends reveal strong focus on risk-aggregated substation testbeds using generative adversarial networks, cyber insurance models for power systems, and cascading failure analysis from switching attacks. Recent works increasingly integrate machine learning with physics-based modeling to address cybersecurity threats in inverter-based resource integration and distribution emergency operations. Ten has secured over $6.5M in active funding including: $2M DOE grant (MTU portion $105,000) for CyDERMS Center on DERs/Microgrids cybersecurity $704,409 CyManII award for secure digitalization in smart manufacturing $1.05M DOE ARPA-E grant for decarbonized freight transportation modeling NSF CyberCorps Scholarship for Service program ($3.38M) His grants consistently address risk management through data-driven and physics-based modeling, with industry partnerships through PSERC and utility collaborations. As ICC CPS Center Director, he leads research on cyber-physical security testbeds and coordinates the PSERC Summer Transformation School. His team develops validation frameworks for NERC CIP compliance while addressing practical pain points in OT cybersecurity for grid operators.

• Power systems engineering
• Power grid cybersecurity
• Cyber-informed security engineering
• +4 more

Dr. Angelos D. Keromytis is the John H. Weitnauer, Jr. Endowed Chair Professor and Georgia Research Alliance (GRA) Eminent Scholar at the School of Electrical and Computer Engineering , Georgia Institute of Technology . He is a globally recognized leader in systems and network security and applied cryptography , with over 250 publications and 67 issued US patents. He is an elected Fellow of both the IEEE and ACM, and previously served as a Program Manager at DARPA and Program Director at NSF. Education: Ph.D. in Computer Science, University of Pennsylvania (2001) M.Sc. in Computer Science, University of Pennsylvania (1997) B.Sc. in Computer Science, University of Crete, Greece (1996) Research Interests: Dr. Keromytis's research spans a broad spectrum of cybersecurity topics, including: Systems and Network Security : He has led foundational work in secure systems design, intrusion detection, and network anomaly detection. Applied Cryptography : His work includes cryptographic protocols, secure communications, and privacy-preserving systems. Hardware and Side-Channel Security : He has pioneered techniques for detecting hardware Trojans using electromagnetic side-channels. Cloud and IoT Security : He has developed novel approaches to securing cloud services and IoT devices. Software Security : His work includes defenses against malware, return-oriented programming (ROP), and automated software patching. Scientific Awards: John H. Weitnauer, Jr. Endowed Chair Georgia Research Alliance (GRA) Eminent Scholar IEEE Fellow (2018) ACM Fellow (2017) ACM Distinguished Scientist (2012) DARPA Superior Public Service Medal DARPA Results Matter Award Advising and Grants: Dr. Keromytis has advised over 30 Ph.D. students and numerous postdocs. He has secured over $35M in research funding from agencies like DARPA, NSF, IARPA, ONR, and AFRL. His recent grants include: DARPA SMOKE : $22.7M for "Antikythera" cybersecurity framework NSF SaTC : $1.2M for mobile network anti-tracking architecture DARPA CHASE : $1.7M for network abuse behavioral engine DARPA OPS-5G : $7.3M for large-scale adversary defense ONR : $4.4M for dormant hardware Trojan detection Labs and Teams: He co-founded and co-directs the Center for Cyber Operations Enquiry and Unconventional Sensing (COEUS) at Georgia Tech. Previously, he founded and directed the Network Security Lab (NSL) at Columbia University, which produced foundational research in network security, intrusion detection, and software protection.

• Systems and Network Security
• Applied Cryptography
• Cybersecurity
• +9 more

Shiqing Ma is an Assistant Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. Previously, he held a faculty position at Rutgers University from 2019 to 2023. He earned his Ph.D. in Computer Science from Purdue University (2019) and B.E. from Shanghai Jiao Tong University (2013). His research focuses on secure, intelligent, and transparent computing systems, particularly at the intersection of security, AI, and software systems. Key areas include integrating machine learning into software systems, ensuring algorithmic security through program analysis, and developing novel system architectures. Professor Ma's work has been recognized with prestigious awards, including the NSF CAREER Award (2023), and distinguished paper awards at USENIX Security (2017) and NDSS (2016). He actively contributes to the academic community through editorial roles and program committees in security, privacy, and software engineering. His research explores topics like backdoor attacks, AI safety, and bias mitigation in large language models. Recent articles emphasize defense mechanisms against adversarial attacks, watermarking techniques, and automated debugging systems for machine learning pipelines.

• Security and Privacy
• Trustworthy Machine Learning
• Software Engineering
• +3 more

Jerry Zeyu Gao is a Professor in the Department of Computer Engineering at San Jose State University, part of the Charles W. Davidson College of Engineering. He maintains active office hours and has a strong presence in both academic and industry domains, combining over 15 years of academic experience with more than 10 years in software engineering and IT development management. His research spans a wide range of cutting-edge areas in computing, including: Cloud Computing and Services Software as a Service (SaaS) and Testing as a Service (TaaS) Test Automation Mobile Computing and Mobile Cloud Technologies Software and Service Engineering Mobile Sensor Technologies Smart Cities infrastructure Dr. Gao has published over 180 papers in top-tier IEEE and ACM journals and conferences, and has co-authored three technical books while editing several others in software engineering and mobile computing. His scholarly output reflects a strong focus on practical, scalable solutions in cloud, mobile, and service-oriented systems. The publications show consistent themes in automation, service delivery, distributed architectures, and real-world software validation. He has played a leadership role in the international research community, having served as conference chair, program co-chair, and workshop co-chair for numerous prestigious events such as IEEE MobileCloud, IEEE SOSE, SEKE, and others between 2004 and 2015. These roles highlight his influence and recognition in the software engineering and cloud computing communities. Dr. Gao advises students and contributes to graduate and undergraduate education, although specific advisees are not listed. He is involved in research projects and likely secures external funding given his publication and conference leadership activities, though specific grants are not mentioned. He is associated with research initiatives related to mobile systems, cloud services, and smart city technologies.

• Cloud Computing and Services
• Software as a Service (SaaS)
• Testing as a Service (TaaS)
• +7 more

Emin Gün Sirer is an Associate Professor at the Department of Computer Science , College of Engineering , Cornell University . He co-directs the Initiative for Cryptocurrencies and Smart Contracts and leads the Meridian and HyperDex projects. Research in operating systems, networking, and distributed systems Focus on secure operating systems, high-performance cloud infrastructure, and peer-to-peer networks Developed systems like Nexus (secure OS), OpenReplica (Paxos implementation), and Trickles (stateless network protocol) Prominent Projects : Meridian - Lightweight network location service without virtual coordinates Cubit - Decentralized peer-to-peer search Kimera - Network-centric Java verification SPIN - Extensible microkernel for application-specific services Scientific Contributions : Leading work in blockchain security and peer-to-peer systems Patents in executable content rewriting and distributed virtual machines Advising & Collaborations : Advises projects in network positioning and content distribution Collaborates with institutions like Usenix , SIGCOMM , and NSDI Personal Background : Ph.D. and M.S. in Computer Science from the University of Washington B.S.E. in Computer Science from Princeton University High school at Robert College

• Operating Systems
• Networking
• Distributed Systems
• +3 more

James Lawler is a Professor in the Seidenberg School of Computer Science and Information Systems at Pace University, focusing on Information Technology. He has dedicated his career to advancing Disability Studies and STEM technologies for individuals with developmental and intellectual disabilities (IDD), while also contributing to e-Business strategies and social entrepreneurship. His work bridges technology and inclusivity, with a strong emphasis on community engagement and equity. Education: DPS, School of Computer Science and Information Systems, Pace University (2002) MBA, Graduate School of Business, Pace University (1974) BBA, Business Administration, Saint Francis College (1971) APC in Computer Applications (Audited), New York University (1979) Research Focus: Professor Lawler's research spans Customer Relationship Management (CRM) technologies, service-oriented architecture, and web services. He has pioneered initiatives for neurodiverse students in STEM, developed multisensory environments using virtual reality, and created programs like the Disability Film Festival to promote inclusion. His work often involves partnerships with AHRC New York City and other organizations. Awards: National Jefferson Award for Community Service (2024) Pace University Golden Graduates Reunion 50th Year of Service (2024) SEINFORMS Certificate of Recognition (2021) ISECON Meritorious Paper Award (2013) Grants & Professional Contributions: He has secured multiple grants for projects like the Disability Film Festival, robotics for elderly people with disabilities, and mobile app development for food waste reduction. His professional service includes roles with AHRC NYC, IEEE Education Society, and editorial boards for academic journals. He also teaches courses on design thinking, information systems, and e-commerce strategies.

• Disability Studies
• STEM Technologies for Developmental and Intellectual Disabilities
• Service-Oriented Architecture
• +3 more

Yonghwi Kwon is a Visiting Assistant Professor in the Department of Computer Science at the University of Virginia. His research focuses on software systems security, cyber forensics, and software engineering. He received the CAREER Award for developing dynamic defenses against cyber threats. His work emphasizes securing software from cyber attacks, recovering forensic evidence, and improving software testing and reverse engineering techniques. Key research areas include memory safety mechanisms, automated vulnerability detection in web applications and mobile systems, and forensic analysis of phishing campaigns. He has pioneered frameworks like CMASan for memory allocator-aware sanitization and Racedb for detecting race conditions in database-backed systems. His contributions span cloud security automation, kernel exploitation analysis, and embedded system fuzzing. Notable achievements include the 2025 CAREER Award supporting his dynamic defense research, and impactful publications in areas like Android information leakage detection (DryJIN), Bluetooth protocol fuzzing (BTFuzzer), and autonomous driving bug discovery (Drivefuzz). His work bridges theoretical computer science with practical cybersecurity solutions.

• Software Systems Security
• Cyber Forensics
• Software Engineering
• +3 more

Bhuvan Urgaonkar is a Professor in the Department of Computer Science and Engineering at Penn State University's College of Engineering. His research centers on optimizing cloud computing systems through innovative approaches to resource allocation, cost efficiency, and energy management. Current research focuses on Burstable Instance Scaling Serverless Computing Optimization Distributed Storage Systems Multi-resource Fair Allocation Cloud Economics Recent publications highlight advancements in autoscaling techniques, serverless architecture design, and trace modeling for high-load scenarios. These works emphasize practical solutions for cost-effective resource utilization in public cloud environments. Scientific Awards: CNS: Core: Small: Consistent, Geo-Distributed Data Stores on the Public Cloud (NSF, 2022-2025) CNS Core: Small: Principled Methodologies for Automated Cost-Effective Service Blending (NSF, 2021-2024) PPoSS: Cross-Layer Design for HPC in the Cloud (NSF, 2020-2022) CSR: Burstable Instances for Cost-Efficacy (NSF, 2017-2020) CSR: Student Travel Support for SIGMETRICS (NSF, 2016-2017)

• Cloud Computing
• Data Center Optimization
• Resource Allocation
• +4 more

Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University (MSU), leading the Heterogeneous Learning and Reasoning (HLR) Lab. Her research focuses on Neuro-Symbolic AI, spatial language understanding, and structured learning, with notable contributions to frameworks like Saul for declarative programming. She joined MSU in 2019 after roles at Tulane University and the Florida Institute for Human and Machine Cognition. Education: Ph.D. in Computer Science from KU Leuven (2013), postdoctoral research at UIUC's Cognitive Computation Group, and work in the KnowEng project. Research Interests: Artificial Intelligence, Machine Learning, Natural Language Processing, Neuro-Symbolic systems, spatial semantics extraction, structured output learning, and multimodal reasoning. Key projects include NSF CAREER awards for spatial language understanding and ONR grants for integrating domain knowledge into AI. Awards: NSF CAREER (2019), Amazon Faculty Research Award (2022), Fulbright Scholar (2025), and Rising Stars at MIT EECS (2015). Grants: Active projects on Neuro-Symbolic compositional generalization (ONR), spatial language learning (NSF), and collaborations with the Department of Media and Information for health misinformation management. Professional Activities: Editorial roles at JAIR, TACL, and Frontiers journals; service on program committees for ACL, EMNLP, and AAAI; organization of workshops like Spatial Language Understanding (SpLU) and CLeaR. Lab and Software: HLR Lab develops Saul (declarative learning-based programming framework) and tools for spatial role labeling. Her team emphasizes mentoring, with structured weekly meetings, reading groups, and conference participation for students.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +7 more

Professor John D. Kubiatowicz is a faculty member at the University of California at Berkeley in the Department of Electrical Engineering and Computer Sciences since 1998. He holds a PhD in Electrical Engineering and Computer Science (minor in Physics) from MIT (1998), an M.S. in EECS (1993), and a double B.S. in Electrical Engineering and Physics (1987) from MIT. His research interests span Quantum Computing Architectures Distributed Systems and Storage Network Security and Peer-to-Peer Protocols Introspective and Manycore Operating Systems Edge and Fog Computing Hardware-Assisted Security He has pioneered systems like OceanStore , a global-scale distributed file system, and Tessellation , a manycore OS with continuous adaptation. The scientific awards he has received include Presidential Early Career Award (PECASE, 2000) Scientific American 50 (2002) Diane S. McEntyre Teaching Award (2003) IEEE ICRA Best Paper (2025) George M. Sprowls Award for MIT PhD thesis (1998) Okawa Research Grant (1998) Best Paper at International Conference on Supercomputing (1993) His recent publications focus on Quantum Circuit Design and Optimization Edge/Fog Computing Architectures Secure Runtime Systems Distributed Garbage Collection Manycore OS Innovations Hardware-Assisted Security Mechanisms He leads the Quantum Architecture Research Center and co-founded the SWARM Lab at Berkeley, advancing a vision of self-adapting, secure systems from the chip level to internet scale.

• Computer Architecture
• Quantum Computing
• Distributed Systems
• +7 more