جست‌وجوی استاد و پژوهشگر

Emin Gun Sirerمشاهده پروفایل

دانشیار

• Operating Systems
• Networking
• Distributed Systems
• +۳ مورد دیگر

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

Kenneth M. Andersonمشاهده پروفایل

استاد

• Software Engineering
• Crisis Informatics
• Human-Computer Interaction
• +۳ مورد دیگر

Professor Kenneth M. Anderson is Chair of the Department of Computer Science and holds the Palmer Endowed Chair at the University of Colorado Boulder's College of Engineering & Applied Science. He co-directs Project EPIC, a $4M NSF-funded initiative on social media use during mass emergencies, and serves as Co-Director of the Center for Software and Society. Ph.D. in Computer Science, University of California, Irvine (1997) Joined CU Boulder in 1998; tenured in 2005 Former Associate Dean for Education (2016-2019) Former Associate Chair (2010-2013) His research bridges software engineering, crisis informatics, and human-computer interaction. Current projects focus on large-scale social media analytics, crisis response systems, and software architecture for data-intensive environments. Recent publications explore multilingual social media analysis (ML-EPIC), bug fix patterns in software development (FIXR), and collaborative big data platforms. Themes include disaster risk communication, data modeling challenges, and asynchronous analysis tools. ATLAS Fellow (2010) As department chair, he spearheaded initiatives for inclusivity, including creating a Bachelor of Arts in Computer Science and establishing the NSF Broadening Participation in Computing plan. He oversees major academic reforms and departmental operations.

• Data Integration
• Big Data Management and Analytics
• Database Systems and Applications
• +۳ مورد دیگر

Dr. En Cheng is an Associate Professor in the Department of Computer Science at The University of Akron, affiliated with the College of Engineering and Polymer Science. She joined the university in 2012 and specializes in research areas such as Data Integration, Big Data Management, Database Systems, Mobile Applications, Business Intelligence, and Bioinformatics. Her work bridges theoretical computer science with practical applications, including educational mobile games and business productivity tools. Dr. Cheng’s education includes a Ph.D. from Case Western Reserve University and advanced degrees from Huazhong University of Science and Technology, China. Her research emphasizes innovative solutions in database systems and interdisciplinary applications like bioinformatics. Notable publications include studies on mobile game integration, web content extraction libraries, and business intelligence optimization. Her recent work explores supramolecular assembly, material science, and nanostructure engineering, reflecting a shift toward interdisciplinary collaboration. Over 30 publications since 2014 highlight her contributions to both computer science and materials research. Dr. Cheng teaches courses such as Data Integration, Database Management, and NoSQL systems. She maintains an active research lab and collaborates on projects funded by institutional grants. Her office is located in CAS 229, and she can be reached via echeng@uakron.edu or her website.

Shiva Jahangiriمشاهده پروفایل

استادیار

• Big Data Management Systems
• Databases for AI/ML
• Knowledge Graphs
• +۶ مورد دیگر

Shiva Jahangiri is an Assistant Professor in the Department of Computer Science and Engineering at Santa Clara University's School of Engineering. His research focuses on Big Data Management Systems, Databases for AI/ML, and Query Optimization. He leads the DBIS Lab, which explores database internals, vectorized data processing, and open-source projects like Apache AsterixDB. Education: Ph.D. in Computer Science from the University of California, Irvine; M.S. in Computer Science (Data Science) from the University of Southern California. Current courses taught include Advanced Programming, Advanced Database Systems, and Introduction to Database Systems. He advises Ph.D. and Master’s students on topics like Vector Databases, Query Scheduling, and Resource Management. Recent research trends involve optimizing group-by/aggregation operators, schema inference for semi-structured data, and memory management in complex join queries. His work bridges theoretical advancements with practical implementations in open-source systems. DBIS Lab activities include student participation in senior design projects, directed research, and volunteer roles. The lab emphasizes industry collaboration for hands-on experience in database systems development.

Farah Kamwمشاهده پروفایل

استادیار

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +۴ مورد دیگر

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

Douglas D. Hodsonمشاهده پروفایل

استاد

• Computer Engineering
• Software Engineering
• Real-Time Distributed Simulation
• +۷ مورد دیگر

Douglas D. Hodson is a Professor of Computer Engineering at the Air Force Institute of Technology (AFIT), Wright-Patterson AFB, Ohio, affiliated with the Department of Systems and Engineering Management within the Graduate School of Engineering and Management. He holds a PhD in Computer Engineering from AFIT (2009), an MBA and MS in Electro-Optics from the University of Dayton, and a BS in Physics from Wright State University. His research focuses on computer engineering, software engineering, real-time distributed simulation, and quantum communications , with a strong emphasis on Quantum Key Distribution (QKD) systems, modeling and simulation (M&S), and Live-Virtual-Constructive (LVC) environments. His work integrates cybersecurity, network performance, and advanced simulation frameworks such as AFSIM and SwarmSim. His recent publications (2021–2022) reflect a trend toward secure distributed systems, AI-driven classification, fog modeling in military simulations, and opinion dynamics in social systems. These works span disciplines including cybersecurity, artificial intelligence, defense modeling, and environmental effects in multi-domain operations. Scientific Awards and Honors: IEEE Senior Member (2021) Outstanding Achievement Award, World Congress in CSCE (2018) SOCHE Faculty Excellence Award (2017) Harold Brown Award (2015) Multiple AFIT Civilian Category III Awards (2014, 2013) Dayton Area Graduate Studies Institute Scholar (2003–2007) Rev. Raymond A. Roesch, S.M., Award of Excellence, University of Dayton MBA (1998) Advising and Grants: Dr. Hodson has advised numerous graduate students, many of whom are co-authors on his publications. His research has been supported by AFIT, AETC, and collaborative defense-focused grants, particularly in quantum communications and simulation technologies. He has led or contributed to teams receiving Air Force Modeling and Simulation Team Awards and QKD Research Team Awards. Labs and Teams: He is a key contributor to the AFIT Quantum Communications and Modeling & Simulation research teams, working on projects involving AFSIM, QKD system modeling, decoy state protocols, and swarm UAV simulation. His lab environment fosters interdisciplinary collaboration in cybersecurity, physics, and software engineering.

Pascal Bizarroمشاهده پروفایل

دانشیار

• Accounting Information Systems
• IT Auditing
• Information System Assurance & Control
• +۷ مورد دیگر

Pascal Bizarro, Ph.D., is an Associate Professor in the Department of Accounting and Information Systems at Bowling Green State University (BGSU), part of the Schmidthorst College of Business. He holds a Ph.D. and M.Acc. from the University of Alabama and a B.B.A. in Commercial Engineering from HEC, Liège, Belgium. A Certified Information Systems Auditor (CISA), he specializes in IT Auditing, Accounting Information Systems, and emerging technologies like blockchain. He advises BGSU's Information System Audit and Control (ISAC) programs and serves as president of the Northwest Ohio ISACA Chapter and academic board member of the Northwest Ohio IIA Chapter. Dr. Bizarro's research focuses on cybersecurity, audit technology, data privacy, and blockchain applications in accounting. His work has been published in leading journals such as ISACA Journal , Internal Auditing , and The CPA Journal . Notable contributions include studies on phishing attacks, IoT security, AI in auditing, and XBRL implementation. He has received awards including the Schmidthorst Leadership Council Faculty Excellence Award (2015) and the Primrose Family Professorship (2013–present). His professional certifications and academic leadership roles reflect his expertise in bridging accounting practices with information systems innovation.

• Big Data Analytics
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Dr. Sikha S Bagui is a Distinguished University Professor in the Department of Computer Science at the Hal Marcus College of Science and Engineering, University of West Florida . She served as the former Chair of Computer Science and was the Founding Director of the Center for Cybersecurity . Her research spans database design, Big Data analytics, machine learning, and cybersecurity . Research Focus: Machine Learning, Data Mining, Network Traffic Analysis, Graph Databases, and Resampling Techniques for Imbalanced Data Awards: Askew Fellow (2018–2021), multiple Excellence in Teaching and Distinguished Research Awards (2001–2024) Contributions: Authored books on databases/SQL (translated internationally), developed the UWF-ZeekData datasets for cybersecurity research, and served as Associate Editor for multiple journals Tools & Frameworks: Active in Hadoop, Spark, Memgraph, and MITRE ATT&CK-based threat modeling Publication Trends: Recent work focuses on MITRE ATT&CK datasets , graph-based cybersecurity , resampling rare attacks , and educational impacts in computing . Her research bridges theoretical and applied domains, including clinical decision support systems and K-12 computer science education. Scientific Awards: Askew Fellow (Reubin O’D. Askew Institute for Multidisciplinary Studies, 2018–2021) Excellence in Teaching and Advising Award (UWF, 2012) Distinguished Research and Creative Activities Award (UWF, 2007, 2012) Excellence in Undergraduate Teaching and Advising Award (UWF, 2001–2006) Leadership & Service: Directed the Center for Cybersecurity, contributed to journals as Associate Editor, and engaged in initiatives like NCWIT Aspirations in Computing and the Association for Women in Computing.

• Big Data
• Cloud Computing
• Data Management
• +۷ مورد دیگر

Dr. George Yu is an Associate Professor of Computer Science and Information Systems at Youngstown State University (YSU), Ohio. He holds a Ph.D. in Computer Science from Southern Illinois University (2013), an M.S. in Pure Mathematics from Shandong University (2008), and a B.S. in Information and Computation Science from Northeastern University (2005). As the Campus Champion of NSF XSEDE at YSU, he facilitates access to national supercomputing resources and organizes workshops on High-Performance Computing (HPC). His research focuses on Database Systems , Approximate Query Processing (AQP) , Big Data Analytics , Cloud Computing , and Bioinformatics . Notable contributions include the AQPrius framework for error-aware AQP and collaborative work on genomic data analysis in plants like Aspergillus niger and tomato. Dr. Yu has received multiple recognitions, including the 2020 Distinguished Professor in Scholarship at YSU and the 2019 Best Paper Award at the International Conference on Software Engineering and Data Engineering. He serves as an associate editor for journals like Transactions on Large-Scale Data and Knowledge-Centered Systems and actively contributes to conference program committees. His educational initiatives include developing YSU's Data Analytics (DATX) Certificate Program and teaching courses on databases, cloud computing, and blockchain. He leads the YSU Data Lab, which operates high-performance research clouds like Sarah Cloud and YSU STEM Cloud, and mentors students in NSF-funded research projects.

Joydeep Banerjeeمشاهده پروفایل

استاد مدعو

• Observability
• Distributed Computing
• Cloud Migration
• +۸ مورد دیگر

Joydeep Banerjee is an Adjunct Professor in the Department of Data Sciences and Operations at the Marshall School of Business, University of Southern California. He combines academic expertise with extensive industry experience as a Senior Technical Leader at Red Hat, former technology strategist at The Walt Disney Studios, and key project leader during his tenure at IBM. Current focus areas: Observability, Far Edge & Scalability at Red Hat Pioneered cloud migration and microservices implementation at Disney Studios Expertise in distributed computing, streaming analytics, and J2EE technologies from IBM experience His research interests center on applying AI/ML methodologies to observability challenges, while advocating for DevOps transformation and agile development practices. As an instructor, he teaches SQL and NoSQL database systems for business analytics, covering relational databases, distributed database architectures, and data manipulation techniques. Current course: DSO-552 SQL Databases for Business Analysts Previous course: DSO-553 NoSQL Databases in Big Data

Heikki Topiمشاهده پروفایل

استاد

• Systems Analysis & Design
• Data Management
• IS Education
• +۲ مورد دیگر

Dr. Heikki Topi is a Professor of Computer Information Systems at Bentley University. He serves as Associate Dean of Business and holds a Ph.D. in Management Information Systems from Indiana University. His research spans systems analysis, computing education, IoT, and usability. He co-authored foundational texts like Modern Database Management and contributes to global curriculum initiatives (e.g., IS2010, MSIS2016). Recent publications focus on agile methodologies, IoT research agendas, and competency-based IS education reform. No awards or student advisements are noted.

Thanaa Ghanemمشاهده پروفایل

دانشیار

• Data Science
• Database Systems
• Social Media Analysis
• +۴ مورد دیگر

Thanaa Ghanem is an Associate Professor in the Department of Computer Science and Cybersecurity at Metropolitan State University's College of Engineering. With a PhD from Purdue University (2014), she has held academic positions at Umm Al-Qura University (Assistant Professor, 2013-2014) and Qatar Computing Research Institute (Scientist, 2017-2018). Her research focuses on data science, social media analytics, spatio-temporal data processing, and geotagged microblog analysis. Education includes: PhD, Computer Science, Purdue University, West Lafayette MS, Computer Science, Purdue University, West Lafayette BS, Computer Science, Alexandria University, Egypt Research interests emphasize: Social network analysis for health communication Big data query language pedagogy Geotagged microblog visualization systems (Taghreed/VisCAT) Language diversity mapping in social media Spatio-temporal data processing Cloud DBMS architectures and tradeoffs Her recent publications demonstrate expertise in social media epidemiology, data visualization, and database systems. She has also contributed to educational curriculum design in data science. Scientific awards: No specific awards mentioned in available data

• Machine Learning
• Data Mining
• Collaborative Human/Computing Systems
• +۲ مورد دیگر

David Musicant is a Professor of Computer Science at Carleton College , where he has taught since 2000. His courses include Data Structures, Programming Languages, Database Systems, and interdisciplinary topics like "Art, Interactivity, and Microcontrollers." His research focuses on machine learning and data mining collaborative human/computing systems computer science education environmental chemistry through data analysis Recent work explores insulin sensitivity patterns in diabetes using data analysis. Selected trends from his articles include data mining applications in environmental science machine learning and support vector machines undergraduate research and educational pedagogy Git and software engineering tools Projects include Enchilada (environmental chemistry data analysis), Elegit (Git learning tool), and TrafficJam (collaboration with Twin Cities Public Television). Contact details: Department of Computer Science, Carleton College Email: dmusicant@carleton.edu Phone: 507-222-4369

Ray Hylockمشاهده پروفایل

دانشیار

• Health Informatics
• Database Systems
• Data Warehousing
• +۸ مورد دیگر

Dr. Ray Hylock is an Associate Professor and Chair of the Department of Health Services and Information Management at East Carolina University's College of Allied Health Sciences. He holds a PhD in Informatics with a Health Informatics concentration from the University of Iowa (2013), an MS in Informatics with the same concentration (2012), and a BS in High Technology Management from California State University, San Marcos (2007). Education PhD in Informatics (Health Informatics concentration), University of Iowa, 2013 MS in Informatics (Health Informatics concentration), University of Iowa, 2012 BS in High Technology Management, California State University, San Marcos, 2007 Roles Department Chair, Health Services and Information Management, East Carolina University (2021–Present) Associate Professor, Health Services and Information Management, East Carolina University (2019–Present) Program Director, Health Care Administration Graduate Certificate, East Carolina University (2016–2018) Assistant Professor, Health Services and Information Management, East Carolina University (2013–2019) His research focuses on theoretical and computational advancements in healthcare databases, data warehouses, federated systems, advanced data structures, optimization, and bioinformatics. His work includes a new storage paradigm for heterogeneous data, federated query optimization, optimal off-target detection in bioinformatics, and rewriting Java's JDK/JVM to improve memory performance in high-performance computing (HPC) environments. Scientific awards include the 2018 East Carolina University Scholar-Teacher Award and the 2016 Dean’s Award for Outstanding Performance in Teaching from the College of Allied Health Sciences.

Yibo Huangمشاهده پروفایل

پژوهشگر ارشد

• Systems
• Networking
• Security
• +۵ مورد دیگر

Yibo Huang is a Research Fellow at the Department of Computer Science and Engineering (CSE), University of Michigan, working with Prof. Ang Chen. His research focuses on systems, networking, and security, emphasizing hardware-software co-design and ML-driven optimization. He holds a Ph.D. in Computer Science from Fudan University (2021), where he co-advised students under Prof. Jie Wu and Prof. Yang Xu. Notable contributions include the CoNEXT 2022 Best Paper Award and Usenix Security 2023 Distinguished Paper Award for innovations in low-latency interconnects and cloud security. Education: Ph.D. in Computer Science (Fudan University, 2021), B.S. in Software Engineering (Central South University, 2016). Industrial experience includes roles at Bytedance (2020–2022) developing RDMA systems and internships at Intel (2015–2016). Academic service includes roles on program committees for EuroSys, FAST, OSDI, and USENIX Security. Research interests span cloud management (e.g., Cloudless Computing), RDMA-based systems (e.g., Exposing RDMA NIC Resources), and AI-driven experimentation frameworks (e.g., EXP-Bench and Curie). His work bridges theoretical advancements with practical applications in high-performance computing and edge-cloud environments. Key awards include the Distinguished RDMA Programming Instructor (2022), Intel PhD Fellowship (2020), and multiple APAC RDMA Programming Competition prizes. His lab collaborations include projects on disaggregated recommendation systems (FlexEMR) and persistent memory optimization (PFtree). Labs/Teams: Active in the University of Michigan’s CSE division, collaborating with Prof. Ang Chen’s group, and previously part of Fudan University’s Starry Team (focusing on RDMA-enhanced distributed systems).