Find Academic Supervisors

Dirk ThißenView profile

Researcher

• Distributed Systems
• Web Services
• Quality of Service (QoS)
• +3 more

Dirk Thißen is a Postdoctoral Researcher at RWTH Aachen University, affiliated with the COMSYS research group. His work focuses on distributed systems, web services, and quality of service (QoS) management. He has contributed to interdisciplinary projects like SensorCloud, aiming to develop trustworthy platforms for interconnected sensors and actuators. His research spans service-oriented architectures, network protocols (e.g., SIP/IMS), and middleware solutions for collaborative engineering and distributed systems. Key areas: Sensor networks, cloud computing, QoS optimization, and service composition Notable projects: SensorCloud, electronic service markets, and IMS service validation Thißen's publications address challenges in distributed systems, including service replication for reliability, multimedia integration in design processes, and protocol validation for next-generation networks. His work often bridges theoretical concepts with practical implementations in telecommunications and collaborative environments. His research consistently emphasizes performance evaluation and scalability, with contributions to both academic conferences and industry-relevant applications. While no specific awards are noted in the provided text, his extensive publication record reflects sustained engagement in high-impact fields.

Jagruti SahooView profile

Associate Professor

• Internet of Things (IoT)
• Cybersecurity
• Machine Learning
• +3 more

Dr. Jagruti Sahoo is an Associate Professor in Computer Science and Academic Program Coordinator for the Cybersecurity Program at South Carolina State University (SCSU), USA. Her research focuses on Internet of Things (IoT) , cybersecurity , machine learning , vehicular networks , and network functions virtualization . Ph.D. in Computer Science and Information Engineering from National Central University, Taiwan (2013) Postdoctoral research at University of Sherbrooke and Concordia University, Canada (2013-2016) Her research lab explores optimization, security, and privacy in IoT and cyber-physical systems, particularly in smart transportation and smart farming domains. She has published extensively in IEEE journals and conferences, with expertise in fog node placement, vehicular network protocols, and VNF management. Dr. Sahoo serves on technical program committees for major conferences (IEEE ICC, Globecom, CCNC, LCN) and as Associate Editor for IEEE Access . She is certified by CompTIA Security+ and contributes to professional organizations like ACM, N² Women, and Women in Cybersecurity (WiCyS).

Chunyi PengView profile

Associate Professor

• Mobile Networking
• Network Security
• 5G/6G Technologies
• +4 more

Chunyi Peng is an Associate Professor in the Department of Computer Science at Purdue University's College of Science, where she leads the Mobile System, Security and Networking (MSSN) lab. She joined Purdue in Fall 2017 after serving as an Assistant Professor at the Ohio State University. Dr. Peng earned her Ph.D. in Computer Science from UCLA in 2013, with additional M.Eng and B.Eng degrees in Automation from Tsinghua University, both with highest honors. Prior to her academic career, she worked as an Associate/Assistant Researcher at Microsoft Research Asia. Her research focuses on mobile networking, systems, and security, with recent emphasis on innovating 5G/6G mobile network architecture, mobile network analytics, network verification, and security. She also explores efficient visual sensing and computing for IoTs, particularly through computer vision techniques for autonomous drones, vehicles, and robots. Her work bridges theoretical networking concepts with practical implementations, often developing tools like MobileInsight for cellular network analysis. Her recent publications reveal a clear research trajectory toward securing and optimizing next-generation mobile networks, particularly focusing on 5G/6G security vulnerabilities, emergency service reliability, drone-based network applications, and performance optimization. The work shows increasing integration of AI techniques with networking protocols and a growing emphasis on practical, real-world network measurement and validation. ACM Distinguished Member (2024) Best Community Paper Award at MobiCom'16 Best Demo Award at MobiCom'18 Best Community Paper Runner-up at MobiCom'22 Dr. Peng actively mentors numerous graduate students through the MSSN lab, with current research projects including AI for Networks, Mobile Network Security, AirLab for autonomous drones, and MI-LAB for network data analysis. She has secured significant research funding including NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE, CNS-2112471), Evolving Mobile Network Security (Cellular-911 Security: CNS-2246051), and Diagnostic Testing of Next-Generation Radio Access Network (CNS-2403048). The MSSN lab maintains an active research agenda with multiple ongoing projects that bridge academic research with practical applications, evidenced by numerous student successes including PhD defenses, conference awards, and industry placements at companies like Bytedance, Meta, and Amazon.

Tian XieView profile

Assistant Professor

• Network Security
• Mobile Networks and Systems
• IoT Security
• +4 more

Tian Xie is an Assistant Professor in the Department of Computer Science at Utah State University (USU). His research focuses on Mobile Networks, IoT Security, Network Security, and Data-Driven Network Analysis. He holds a Ph.D. (2023) and B.S. (2016) in Computer Science and Electrical Engineering from Michigan State University (MSU). Education : Ph.D. in Computer Science, Michigan State University, 2023 B.S. in Electrical and Computer Engineering (With Honor), Michigan State University, 2016 Research Interests : Explores vulnerabilities in cellular emergency services (911), 5G/4G security, IoT systems, blockchain technologies, and secure cloud computing. His work emphasizes practical defenses against network threats and improving system resilience. Awards : 2022 AT&T Security Award for 911 Security Research Best Community Paper Award Runner-Up at ACM MobiCom’22 NAIRR Pilot Award (2024) for 5G/4G Cellular Security Google Security Reward (2019) for VoWiFi Research Grants & Advising : Lead the NAIRR-funded 5G/4G cellular security project Advising 2 Ph.D., 1 MS, and 1 undergraduate student Teaching : Instructors for courses like Introduction to Cybersecurity and Computer Network and Security at USU, with prior teaching experience at MSU.

Daniel RANCView profile

Senior Lecturer

• Big Data
• Cloud Computing
• IP Multimedia Subsystem
• +5 more

Daniel RANC is a Senior Lecturer at Telecom SudParis, affiliated with the NeSS research group within the SAMOVAR laboratory. His academic work focuses on Big Data processing, cloud computing, and IP Multimedia Subsystem (IMS) networks, with particular expertise in data modeling, NoSQL databases, and quality of service management. His research interests span multiple domains including Big Data analytics, where he has developed preprocessing and modeling tools; cloud computing with predicate-based resource management; and telecommunications with a focus on IMS networks and QoS management. His work demonstrates strong interdisciplinary connections between data science, network engineering, and educational technology. RANC's publication record shows consistent contributions to his fields from 2007 through 2016, with a particular concentration on Big Data processing frameworks and network management systems. His research demonstrates a progression from eLearning systems interoperability toward more complex Big Data and cloud computing challenges. Daniel RANC collaborates extensively with researchers including Hadi Hashem and Brahim Raouyane, with whom he has co-authored numerous publications across multiple conferences and journals. His work appears in reputable venues including Foundations of Computing and Decision Sciences, International Journal of Computer Science and Applications, and various IEEE conferences.

Carol DavidsView profile

Research Professor

• Real-Time Communications
• SIP/WebRTC Architectures
• Voice and Data Networks
• +3 more

Carol Davids is a Research Professor in the Department of Computer Science at Illinois Institute of Technology, where she also serves as Founding Director of the Real-Time Communications Lab. She holds a BSc in Applied Mathematics from Columbia University and an MSc in Information Technology and Management from Illinois Tech. Her research focuses on Real-Time Communications, including SIP/WebRTC architectures, voice/video networks, and emergency caller localization systems. Education: Bachelor of Science, Applied Mathematics, Columbia University, 1967 Master of Science, Information Technology and Management, Illinois Institute of Technology, 2003 Research Interests: Real-Time Communications (SIP/WebRTC) Emergency Services Networks Network Architecture for Voice/Data Indoor Localization Systems Awards: University Teaching Award Advising & Projects: Leads the Real-Time Communications Lab Develops NG9-1-1 architecture standards Manages SIP performance benchmarks and testbeds Labs/Teams: Director of the Real-Time Communications Lab, maintaining advanced testbeds for VoIP, WebRTC, and emergency services infrastructure.