Yifan Sun is an Assistant Professor in the Department of Computer Science at William & Mary, leading the Scalable Architecture Lab. He holds a Ph.D. in Electrical and Computer Engineering from Northeastern University (2020). His research focuses on GPU architecture, simulation tools, and multi-GPU system design. Recent work includes TrioSim (a lightweight DNN workload simulator) and NetCrafter (optimizing multi-GPU network traffic). He has published extensively at top venues like ISCA, MICRO, and IEEE Vis. Educations: Ph.D. in Electrical and Computer Engineering, Northeastern University (2020); M.S. and B.S. not explicitly stated but implied through academic progression. Research Interests: Developing explainable architecture tools, improving simulation frameworks (Akita/MGPUSim), and addressing challenges in wafer-scale GPU design. His work bridges hardware-software co-design with visualization techniques to enhance human understanding of complex architectures. Grants: Awarded NSF CCRI and CRII grants for simulation-as-a-service and explainable architecture projects. Collaborations include UVA, NUS, and Northeastern University. Labs/Teams: Scalable Architecture Lab (SARCHLAB), focusing on GPU systems, simulation, and visualization. Active in organizing workshops and GitHub repositories (e.g., https://github.com/sarchlab).
Dr. J Krishnan is a Reader in Biological & Chemical Information Processing Systems at the Department of Chemical Engineering, Imperial College London, within the Faculty of Engineering. He holds affiliations with multiple interdisciplinary centers including the Centre for Process Systems Engineering, Institute of Systems and Synthetic Biology, and the Industrial Biotechnology Hub. His career includes roles as Lecturer and Senior Lecturer at Imperial College (2006–present), and prior research at Johns Hopkins University (2001–2005). He earned his PhD from Princeton University (2000) and B.Tech from IIT Madras (1994). His research focuses on systems-level analysis of biological and chemical information processing, combining mathematical modeling, computational tools, and collaborations with experimentalists in cell biology, synthetic biology, and biomedical engineering. Key areas include cellular communication networks, gene regulatory systems, and the application of engineering principles to biological systems. He also explores non-biological analogues, such as traffic systems and control engineering. His work on traffic systems emphasizes machine learning applications for anomaly detection, congestion prediction, and autonomous vehicle integration. Recent articles highlight developments in real-time traffic control strategies, CAV impact analysis, and hybrid neural network models for early congestion detection. His contributions span transportation economics, sensor data fusion, and game-theoretic models for public-private collaboration in travel information markets. Collaborative efforts extend to tool development for systems biology and synthetic biology, leveraging interdisciplinary approaches to bridge natural sciences and engineering. His affiliations reflect a commitment to translational research in chemical biology, process systems engineering, and molecular science.
Dr. Hamid Zargariasl is a Researcher in the Computer Engineering Department at BTU Cottbus-Senftenberg. His work focuses on IoT systems, RFID technology, social network analysis, and distributed computing. He leads the UBICO Team and contributes to the Computer Engineering Group, exploring interdisciplinary applications of telecommunications and sensor networks. His research integrates theoretical frameworks with practical implementations, addressing challenges in smart city infrastructure, healthcare systems, and educational technology. Key research areas include optimizing RFID and sensor performance, analyzing social object interactions in IoT networks, and developing protocols for distributed computing. His experimental studies bridge academic performance metrics with mobile social network dynamics, and he has pioneered methodologies for network integration and centrality analysis in evolving systems. Publications span 15 years (2009–2024), emphasizing real-world data analysis and system optimization. Notable work includes enhancing digital thread functionality in aerospace engineering and evaluating smart parking sensor technologies. His contributions inform both technical systems and socio-economic policy recommendations. Dr. Zargariasl collaborates within interdisciplinary teams, contributing to the BTU's research initiatives while maintaining active engagement in the academic community through lectures and student mentorship.
Alex C. Snoeren is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego (UCSD). He is affiliated with the Systems and Networking Research Group, the Security and Cryptography Research Group, and the Center for Networked Systems. His work focuses on distributed systems, networking, and security, with notable contributions to data center networking, optical systems, and network measurement. He has advised numerous PhD students and has been actively involved in teaching courses such as CSE 120 (Principles of Computer Operating Systems), CSE 123 (Computer Networks), and graduate-level systems and networking courses. His research has led to innovations in network architecture, including projects like RotorNet (optical data center networking) and Eden (far memory integration). Key awards include the Best Paper at ACM SIGCOMM 2023 and multiple best student paper recognitions. His work spans both theoretical and applied domains, addressing challenges in network scalability, security, and efficiency.
Hanan Samet is a Distinguished University Professor in the Computer Science Department at the University of Maryland, College Park. He holds affiliations with the Center for Automation Research and the Institute for Advanced Computer Studies (UMIACS). His academic journey includes a PhD from Stanford University (1975) in Computer Science, following degrees in Engineering (UCLA) and Operations Research/Computer Science (Stanford). Affiliations: University of Maryland, College Park (since 1975) Roles: Professor, Founding Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems, Founder of ACM SIGSPATIAL Samet's research focuses on spatial data structures, spatial databases, GIS, computer vision, and information retrieval. His seminal work includes the Foundations of Multidimensional and Metric Data Structures , an award-winning book addressing spatial indexing and query optimization. He pioneered frameworks like NewsStand for map-based news exploration and Coronaviz for pandemic visualization. Key contributions span spatial synonyms for approximate search, SAND spatial browser for digital government, and trajectory analysis systems for aviation safety and urban mobility. His work bridges theory and practice, influencing databases, graphics, and geographic systems. Education: B.S. Engineering, UCLA M.S. Operations Research, Stanford M.S./Ph.D. Computer Science, Stanford Samet has advised numerous students and led NSF-funded projects on spatio-textual data, similarity search, and spreadsheet analysis. His honors include the ACM Paris Kanellakis Award (2011), IEEE Wallace McDowell Award (2014), and UCGIS Research Award (2009). His labs and teams focus on spatial algorithms, visualization, and GIS applications. Notable projects include VASCO (spatial index demo), MARCO (image databases), and CHOLERA (disease tracking).
Prof. Allister Loder is a Professor of Mobility Policy at the Technical University of Munich (TUM), affiliated with the TUM School of Social Sciences and Technology . His research focuses on mobility policy analysis, evaluation of policy measures, and urban transportation innovations. He holds a doctorate in Transportation from ETH Zurich (2019) and has held roles at Swiss Federal Railways (SBB) and TUM's Chair of Transportation Engineering and Technology. Since 2023, he leads a DFG-funded Emmy Noether Research Group. Education: Mechatronics Engineering, Hamburg University of Technology Energy Science and Technology, ETH Zurich PhD in Transportation Engineering, ETH Zurich (2019) Research emphasizes macroscopic fundamental diagrams (MFD) for urban traffic modeling, analysis of Germany's 9-Euro-Ticket and Deutschlandticket policies, and tradable mobility credit schemes. Recent work explores cycling infrastructure in metropolises and accessibility-based road pricing mechanisms. Key Awards : Recipient of the DFG Emmy Noether Research Group Fellowship (2023). Grants and Projects: Founded the Emmy Noether Research Group focused on mobility policy innovation. Active in large-scale empirical studies like the Mobilität. Leben panel tracking mobility behavior across Germany. Labs/Teams: Leads the Emmy Noether Research Group at TUM, collaborating on mobility policy design and evaluation tools.
Adlen KSENTINI is a Professor at EURECOM's Communication Systems department, specializing in advanced networking technologies. His research focuses on Mobile and Wireless Networks, Software Defined Networking (SDN), Mobile Edge Computing (MEC), Network Function Virtualization (NFV), and Content Delivery Networks (CDN), with an emphasis on performance evaluation and network virtualization. He has contributed to projects like AC3 and 6G-BRICKS, exploring cloud-edge continuum integration and 6G infrastructure. Key research interests include virtualized mobile core networks, carrier cloud systems, and AI-driven network management. He has received Best Paper Awards at IEEE WCNC 2018 and IWCMC 2016 for works on network slicing and LTE modeling accuracy. His work often integrates machine learning for optimization, sustainability, and security in 5G/6G networks. Distinctions: Two Best Paper Awards Labs/Teams: Involved in EU-funded projects like AC3 and 6G-BRICKS Grants: Not explicitly listed, but active in collaborative research initiatives
Dr Zeke Ahern is a Research Fellow in Transport Engineering and Planning at Queensland University of Technology (QUT), affiliated with the School of Civil & Environmental Engineering. He holds a PhD from QUT. His research focuses on transportation safety, crash frequency modeling, and optimization of public transit systems. Dr Ahern’s work emphasizes multi-objective frameworks for analyzing crash data, improving safety infrastructure, and enhancing urban mobility through advanced statistical and computational methods. He has collaborated on projects involving raised safety platforms, parking payment behavior, and integrated bus route design. His publications reflect contributions to transportation engineering, traffic safety, and data-driven decision-making in civil infrastructure. Research Interests: Dr Ahern’s primary areas include crash frequency modeling, transportation safety infrastructure evaluation, and the application of optimization algorithms (e.g., simulated annealing, metaheuristics) to transportation problems. He develops tools like the Metacountregressor Python package to assist in analyzing count data models, bridging software engineering and transportation research. Publications highlight trends in data-driven safety analysis and infrastructure optimization. His work spans both theoretical advancements (e.g., hypothesis testing for crash models) and practical applications (e.g., raised platform effectiveness reviews). Recent efforts emphasize integrating multiple objectives into transportation planning, such as balancing safety, efficiency, and cost-effectiveness.
Dr. Mohammad Razaur Rahman Shaon is an Associate Research Scientist at the Connecticut Transportation Institute (CTI), part of the University of Connecticut. Previously, he served as a Senior Research Specialist at the University of Arizona's Department of Civil and Architectural Engineering and Mechanics. He holds a Ph.D. in Transportation Engineering from the University of Wisconsin-Milwaukee, an M.Sc. from South Dakota State University, and a B.Sc. from Bangladesh University of Engineering and Technology (BUET). His research focuses on highway safety, crash data analysis, vulnerable road user protection, intelligent transportation systems, and driver behavior modeling. He has contributed to over 25 peer-reviewed publications and serves as a reviewer for journals like Accident Analysis and Prevention and the Journal of Transportation Engineering. Dr. Shaon’s work emphasizes the intersection of human behavior and safety, particularly in driver decisions and their impact on collision outcomes. His research on autonomous vehicles and pedestrian safety has garnered media attention for enhancing public safety awareness. He has led or co-PI’d numerous projects funded by federal, state, and local entities, addressing systemic safety, automated vehicle integration, and traffic management innovations. His current affiliations include CTI’s CAPLab, CTSRC, and T2Center, where he develops safety tools and evaluates advanced transportation systems. Recent studies highlight trends in autonomous vehicle interaction with pedestrians, E-scooter impacts on bike-sharing systems, and data-driven safety screening methodologies. His work bridges technical advancements with societal needs, aiming to improve transportation infrastructure and user safety through rigorous analysis and policy development.
Marco Chiesa is an Associate Professor at the KTH Royal Institute of Technology in the Intelligent Network System Lab (INSight) group under the Division of Software and Computer Systems . His research focuses on computer networking, particularly Internet protocols and architectures, with emphasis on security, privacy, network design optimization, and Software Defined Networking (SDN) approaches. Current research areas: SDN, IXPs, stateful packet processing, network monitoring Teaching roles: Advanced Internetworking (IK2215), Computer Hardware Engineering (IS1200), Network Systems with Edge or Cloud Datacenters (IK2227) Email: mchiesa@kth.se Recent publications highlight advancements in high-speed packet processing, network security, and SDN applications. Key trends include leveraging programmable switches for stateful operations, improving BGP hijacking detection, and optimizing network monitoring on multi-pipeline architectures.
Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.
Mario Baldi is a researcher affiliated with the Polytechnic University of Turin, Italy , with significant contributions to computer networking , distributed systems , and software-defined networking . Key research themes: network function virtualization , programmable dataplanes , time-driven scheduling , and traffic analysis . Recent work focuses on RDMA-enabled compute offloading (2023) and DNN inference in network data planes (2023). Longstanding expertise in multicast routing , voice/data packet efficiency , and XML-based protocol parsing (2000–2006). Collaboration network includes Yoram Ofek , Fulvio Risso , and Han Hee Song , with 99+ publications spanning 1994–2023.
Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.
Tracy Camp is a Professor in the Department of Computer Science at Colorado School of Mines, College of Applied Science and Engineering. With a distinguished career spanning over three decades, she has established herself as a leading researcher in wireless networking, mobility modeling, and computing education. Her work has evolved from foundational research in mobile ad hoc networks to impactful contributions in broadening participation in computing. Dr. Camp's research interests span wireless networking, mobility modeling, machine learning applications in networking, and computer science education. Initially focusing on mobility models for ad hoc networks, she published seminal work including the widely cited survey 'A survey of mobility models for ad hoc network research' (2002). More recently, her work has shifted toward computing education, particularly broadening participation in computing, K-12 teacher preparation, and supporting underrepresented students through scholarship programs like S-STEM. Her recent publications reveal a strong emphasis on machine learning applications for network security, particularly in analyzing encrypted messaging applications and smart device traffic. Simultaneously, she has become a national leader in departmental strategies for broadening participation in computing, developing frameworks for BPC (Broadening Participation in Computing) plans that are now required by the NSF. Dr. Camp has been instrumental in developing the CS@Mines program, creating successful scholarship ecosystems for low-income and underrepresented students, and leading Colorado's strategic approach to prepare K-12 computer science teachers. Her work bridges technical research with practical educational initiatives that address critical challenges in the computing field. She has served in leadership roles for major computing education conferences including SIGCSE, where she has contributed to shaping the national conversation about computing education, enrollment surges, and diversity in the field. Her collaborative work with organizations like CRA-W (Computing Research Association-Women) demonstrates her commitment to addressing systemic issues in computing.
Marko Šarac is a Professor at Singidunum University in the Faculty of Informatics and Computer Science . He holds a Master's degree in Contemporary Information Technologies (2008) and a PhD in Advanced Protection Systems (2013) from the same institution. His research spans Cybersecurity, Artificial Intelligence, Blockchain, Internet of Things (IoT), Machine Learning, and Data Privacy . Education: Master: Contemporary Information Technologies, Singidunum University, 2008 PhD: Advanced Protection Systems, Singidunum University, 2013 Research Focus: SSL Traffic Security, Virtual Datacenters, Biometric Cryptography, and IoT Healthcare Systems Developed frameworks for Explainable AI in Metaverse Security , Blockchain-based IoT Security Gateways , and Machine Learning for Medical Diagnostics Notable Publications: 2025: CNN-enhanced attack detection for IoT-based Metaverse 2024: Modified Firefly Algorithm for medical dataset classification 2023: Space weather prediction using metaheuristics Projects: Co-author on 9+ books including Internet Marketing (2020) and Computer Network Security (2014) Contributed to 50+ peer-reviewed journals and conference papers on cybersecurity and AI Grants & Collaborations: Active in IEEE , ZINC , and Sinteza conference series Collaborated with researchers across Europe and Asia on IoT, Blockchain, and Cloud Security Contact: msarac@singidunum.ac.rs
