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Selin AhipasaogluView profile

Professor

• Operational Research
• Convex Optimization
• Robust Optimization
• +5 more

Prof. Selin Damla Ahipasaoglu is a Professor in Operational Research at the University of Southampton's School of Mathematical Sciences . She serves on the management team of the UKRI CDT SustAI (Artificial Intelligence for Sustainability) as Senior Tutor and Co-Lead for the Transportation and Logistics Theme . Her work bridges mathematical optimization with practical applications in sustainability, finance, and transportation systems. Research Interests : Convex Optimization Robust Optimization Discrete Choice Theory Experimental Design Machine Learning Current Research : Focused on robust optimization and its applications in discrete choice modeling, portfolio optimization, and transportation systems. She explores theoretical frameworks alongside real-world implementations, particularly through interdisciplinary projects like the UKRI CDT SustAI. Teaching : In the 2025/2026 academic year, she teaches MATH3017: Mathematical Programming and MATH2013: Operational Research II . She supervises PhD students in Mathematical Sciences, including Kexin Lai, Samuel Jericho Ward, and others.

Federico TartariniView profile

Senior Lecturer

• Environmental Engineering
• Building Science
• Thermal Comfort
• +5 more

Dr Federico Tartarini is a Senior Lecturer at the Sydney School of Architecture, Design and Planning and a Sydney Horizon Fellow at the University of Sydney. His research focuses on preventing heat stress through improved indoor environmental design, with expertise in thermal comfort, building performance, and health. He leads innovative projects at the intersection of environmental engineering and human well-being. Member of Sydney Environment Institute Member of Charles Perkins Centre Collaborator at UC Berkeley's Center for the Built Environment Research Themes: Combines laboratory and field studies with software/hardware development to address thermal health challenges. Specializes in occupant-centric building design, thermophysiological modeling, and real-time monitoring technologies. Scientific Awards 2023 Future Leader Award – AIRAH 2023 Excellence in HVAC&R Research – AIRAH 2023 Horizon Fellowship from University of Sydney Multiple awards from 2014-2021 including best paper and researcher accolades Tools & Impact: Creator of widely used open-source platforms like pythermalcomfort, CBE Thermal Comfort Tool, and Cozie smartwatch app. Founded EMU Systems for IEQ monitoring solutions. Key work includes modifying Sports Medicine Australia's heat stress policies and ASHRAE standard contributions.

• Aerospace Engineering
• Autonomous Systems
• Robotics
• +5 more

Professor Jennifer Palmer is a leading academic in Aerospace Engineering at RMIT University, serving as Head of Department and Associate Dean. Her research focuses on autonomous systems, UAV propulsion, and urban environment operations. She previously led the Trusted Autonomous Systems (TAS) Defence CRC and held roles at the Defence Science and Technology Group (DSTG), emphasizing industry collaboration. Her career spans over 15 years in aerial autonomy and defense-related R&D, with expertise in hybrid power systems for UAVs and flapping flight mechanics. She has published extensively in top-tier journals across Aerospace, Mechanical, and Computer Science disciplines. Current projects include optimizing multimodal transport logistics and exploring fuel types for advanced propulsion systems. Professor Palmer’s work integrates academic research with practical defense and civilian applications, fostering innovation in autonomous technologies and robotic teaming strategies. She is open to supervising PhD and Masters students in aerospace engineering and related fields.

• Transportation Engineering
• Intelligent Transportation Systems
• Infrastructure Resilience
• +7 more

Sean Qian is a Professor at Carnegie Mellon University (CMU), jointly appointed in the Department of Civil and Environmental Engineering, Heinz College of Information Systems and Public Policy, and the Department of Electrical and Computer Engineering. He directs the Mobility Data Analytics Center (MAC) and co-founded TraffiQure Technologies to commercialize AI-driven infrastructure solutions. His research focuses on dynamic network modeling, intelligent transportation systems, climate resilience, and infrastructure interdependency. Supported by NSF, U.S. DOT, and industry partners, his work integrates AI, big data, and policy analysis to address urban mobility challenges. Education: PhD in Civil Engineering (UC Davis, 2011), MS in Statistics (Stanford, 2012), and dual MS/BS in Civil Engineering (Tsinghua University, 2006/2004). Research emphasizes smart cities, EV integration, cybersecurity for infrastructure, and equity in mobility policies. He serves on editorial boards for Transportation Research journals and TRB committees. Awards include the NSF CAREER Award (2018) and Greenshields Prize (2017). Grants and collaborations include projects with Fujitsu, IBM, and state agencies, addressing curbside management, climate adaptation, and rural mobility. His lab develops tools like the Rural Access Mobility Platform and social digital twin technologies for infrastructure resilience.

• Fluid Mechanics
• Multiphase Flows
• Particle Technology
• +4 more

Dr. Elham Doroodchi is an Associate Professor in the School of Engineering at the University of Newcastle, specializing in Chemical Engineering. Her research focuses on fluid mechanics, multiphase systems, and energy technologies, with notable contributions to microfluidics and industrial applications. She has secured $2.9 million in research funding and published extensively in peer-reviewed journals and conferences. Education : PhD, University of Newcastle (2005) Bachelor of Engineering (Chemical Engineering), University of Newcastle (1st Class Honours) Research Interests : Dr. Doroodchi’s work spans fluidized bed hydrodynamics, particle technology, and energy systems such as geothermal power and waste heat recovery. Her recent studies include novel power cycles for geothermal energy and microfluidic applications in medicine and engineering. Grants & Awards : $2.9M total funding secured ARC College of Experts member (assesses Discovery Projects) Awards: Newcastle University Dean’s Medal (2000), Institution of Chemical Engineers Prize (2000), and National Award (2005) for the Reflux Classifier development Labs & Teams : Active in collaborative projects with Behdad Moghtaderi and others, focusing on energy storage, microreactors, and multiphase flow modeling.

Gert Frølund PedersenView profile

Professor

• Antenna Engineering
• Multiple-Input Multiple-Output (MIMO) Systems
• Millimeter Wave Technology
• +6 more

Gert Frølund Pedersen is a Professor at the Department of Electronic Systems , Aalborg University , within the Technical Faculty of IT and Design . His research focuses on antennas, propagation, and millimeter-wave systems. He leads projects like DRONES (30 million DKK from Innovationsfonden) for drone-based electromagnetic signature analysis and EcoSurf6G for energy-efficient reconfigurable surfaces in 6G networks. With over 758 research outputs and 21 PhD students supervised, he contributes extensively to wireless communication advancements. Antenna Engineering Millimeter-Wave Systems Reconfigurable Intelligent Surfaces Deep Learning in Antenna Design His recent work emphasizes millimeter-wave IoT applications , UWB propagation channels , and 5G/6G antenna arrays . Publications highlight innovations in transmitarray antennas , liquid crystal polarization control , and metasurface design using AI. His research spans from fundamental electromagnetic safety to cutting-edge wireless infrastructure. Notable awards include Best Reading Paper of the Issue (IEEE Transactions on Microwave Theory and Techniques, 2020), ESI Highly Cited Paper (2019), and Ridder af Dannebrog (2021). He frequently engages with media to address public concerns about mobilstråling (mobile radiation) and its safety.

• Embedded Systems
• Mobile Computing
• Wireless Sensing
• +2 more

Shahriar Nirjon is an Assistant Professor in the Department of Computer Science at UNC Chapel Hill, where he leads research on embedded intelligence systems. His work focuses on developing ultra-low-power devices capable of adaptive machine learning for health monitoring and mobile applications. Dr. Nirjon's Intermittent Learning framework enables energy-harvesting devices to continuously adapt to changing environmental conditions and input patterns. His research encompasses: Energy-harvesting sensor systems Adaptive machine learning for embedded devices Mobile health monitoring technologies Wireless sensing platforms Robust embedded intelligence He has received multiple best paper awards at premier conferences including MOBISYS, RTAS, DCOSS, and AIChallengeIoT. Dr. Nirjon is a recipient of the NSF CAREER Award for his work on intermittent learning systems.

Setareh MaghsudiView profile

Professor

• Machine Learning
• Wireless Communications
• Edge Computing
• +7 more

Dr. Setareh Maghsudi is a Professor in the Learning Technical Systems group at the Faculty of Electrical Engineering and Information Technology at Ruhr-University Bochum. She joined Ruhr-University Bochum in August 2023 after serving as an Assistant Professor at the University of Tübingen (2020-2023) and at the Technical University of Berlin (2017-2020). Her academic journey began with an M.Sc. from Kiel University (2008-2010), followed by her Ph.D. and postdoctoral work at Technical University of Berlin (2011-2015), Yale University (2016-2017), University of Manitoba (2015-2016), and Kyushu University (2019). Dr. Maghsudi's research focuses on the application of machine learning to communication networks and distributed systems, with particular emphasis on bandit algorithms, federated learning, and resource allocation in dynamic environments. Her work bridges theoretical machine learning with practical networking challenges, developing algorithms that can adapt to non-stationary environments with partial information. She has made significant contributions to multi-armed bandit frameworks for wireless communications, edge computing, and network optimization. Her recent publications (2023-2025) demonstrate a strong trend toward addressing challenges in integrated sensing and communication (ISAC), federated learning for edge networks, and non-stationary decision-making problems. The publications show expertise spanning theoretical machine learning foundations, wireless communications engineering, and practical implementation for real-world networked systems. Her work increasingly incorporates causal reasoning and robustness considerations into learning frameworks for communication systems. Dr. Maghsudi leads the Learning Technical Systems research group at Ruhr-University Bochum, where she supervises PhD students and postdoctoral researchers working at the intersection of machine learning and communication systems. Her research is supported by various grants focusing on AI for future communication networks. Current projects include developing AI-driven solutions for next-generation communication systems with emphasis on robustness, efficiency, and adaptability in dynamic environments.

• Transportation Engineering
• Environmental Sustainability
• Electric and Autonomous Vehicles
• +3 more

Heikki Liimatainen is a **Professor** and **Vice Dean for Research** at the Faculty of Built Environment, Tampere University. His research focuses on sustainable transportation systems, emission reduction strategies, and mobility innovations like autonomous vehicles and Mobility-as-a-Service (MaaS). He actively collaborates with international institutions, evidenced by studies involving Finland, Switzerland, and Germany. Research interests emphasize **transportation sustainability**, **electrification of road freight**, **consumer behavior in new mobility systems**, and **climate policy effectiveness**. His work spans technical, economic, and social dimensions of transport, including policy design, infrastructure impacts, and equity considerations. Key areas of recent studies include winter conditions for autonomous vehicles, V2G technology adoption, and decarbonization pathways for heavy-duty trucks. He also explores societal challenges like transport poverty and gig economy employment dynamics. No scientific awards explicitly listed in the provided texts. His professional networks include roles in academic governance and international project collaborations. Contact: Email | ORCID .

Johan EklundView profile

Associate Professor

• Computer Networks
• Real-Time Systems
• Transport Layer Protocols
• +3 more

Johan Eklund is an Associate Professor in the Department of Computer Science at Karlstad University. He also serves as the Director of Undergraduate Studies and is finalizing his PhD thesis while working part-time as a lecturer. His research focuses on performance issues in computer communication, particularly latency reduction in real-time applications over IP networks, with a strong emphasis on transport layer protocols. He has collaborated extensively with regional industry through initiatives like 'Campus Connect.' Education: B.Sc. (2001) and M.S. (2004) in Computer Science from Karlstad University, followed by doctoral studies. Teaching responsibilities include 'Introduction to Programming and Data Processing' and supervision of bachelor's projects in Computer Science. Research interests span real-time systems, IoT communication, energy efficiency in networks, and transport layer optimization. His recent work includes evaluating NB-IoT energy efficiency and latency reduction in SCTP-based protocols. He has over 20 publications since 2004, with a focus on improving network performance and reducing energy consumption in modern communication systems. Notable collaborations include projects with SNITS (Swedish National Infrastructure for Computing) and industry partners. His work bridges academia and industry, addressing practical challenges in network design and implementation.

• Peer-to-Peer Overlay Networks
• Home Automation
• IP Telephony
• +3 more

Dr. Mario Kolberg is a Senior Lecturer in the Department of Computing Science at the University of Stirling. He holds a PhD from the University of Strathclyde and has held roles at institutions including Humboldt University in Berlin and the University of Strathclyde. His research focuses on Peer-to-Peer (P2P) overlay networks, Home Automation, and IP Telephony, with contributions to areas like distributed feature interaction management and network protocol optimization. Key roles include co-investigator in ESRC’s Interlife and MATCH projects, exploring P2P networks in virtual worlds and healthcare integration. He leads initiatives such as the Sysnet Knowledge Transfer Partnership, developing P2P overlays for mobile devices. Kolberg is an IEEE Senior Member and Series Editor for the IEEE Communications Magazine’s Consumer Communication and Networking series, previously serving as TPC Chair for IEEE CCNC 2011. His research spans P2P multicast, home automation systems, and network efficiency, with recent work addressing IoT protocols (e.g., 6TiSCH), mobile network optimization, and integrating social media data for transport prediction. Over 79 publications highlight his technical depth, including influential papers on feature interaction detection and hybrid multicast systems. Education: PhD in Computer Science from University of Strathclyde Key Projects: Interlife (P2P in 3D virtual education), MATCH (healthcare networks), Sysnet KTP (mobile P2P) Awards: IEEE Senior Member, Series Editor role His work bridges academia and industry, addressing real-world challenges in networking and distributed systems.

Xidong MuView profile

Assistant Professor

• 6G Networks
• Reconfigurable Intelligent Surfaces (STARS)
• Near-field Communications and Sensing (NFC/NISE)
• +4 more

Xidong Mu is a Lecturer (Assistant Professor) at Queen's University Belfast's Centre for Wireless Innovation (CWI). He holds a PhD in Information and Communication Engineering from Beijing University of Posts and Telecommunications (2022). His research focuses on sustainable 6G networks, including Simultaneously Transmitting and Reflecting Surfaces (STARS), Near-field Communications/Sensing (NFC/NISE), and Mobile Edge Generation (MEG). He serves on editorial boards and technical committees like IEEE Transactions on Communications and IEEE ComSoc NGMA Initiative. Notable awards include the 2023 IEEE ComSoc Outstanding Young Researcher Award and 2024 Heinrich Hertz Award. Roles: Public Engagement Coordinator (IEEE ComSoc SPCC-TC), Secretary (IEEE NGMA Initiative) Key Labs: CWI, STAR Lab (Queen Mary University) Research interests emphasize advanced physical layer technologies, with over 140 publications. Current PhD supervision focuses on STARS, NFC, and NGMA.

Ashok AgrawalaView profile

Professor

• Computer Systems
• Distributed Algorithms
• Real-Time Systems
• +10 more

Ashok Agrawala is a Professor in the Department of Computer Science at the University of Maryland, with joint affiliations in the University of Maryland Institute for Advanced Computer Studies (UMIACS) and the Department of Electrical Engineering. He directs the Maryland Information and Network Dynamics (MIND) Lab, a leading research group focused on real-time systems, network performance, and wireless localization technologies. Education: B.E. and M.E. in Electrical Engineering, Indian Institute of Science, Bangalore M.A. and Ph.D. in Applied Mathematics, Harvard University His research interests span computer systems, distributed algorithms, real-time operating systems, network performance modeling, traffic shaping, and indoor localization . He is renowned for pioneering the Ricart-Agrawala distributed mutual exclusion algorithm, developing the Maruti real-time operating system, and creating the Horus and Locus indoor positioning systems. His work has led to significant advances in temporal guarantees, jitter-free data delivery, and calibration-free localization. His recent publications show sustained innovation in wireless localization, context-aware computing, breath analytics, and energy-efficient IoT systems , reflecting an evolving research trajectory toward smart health and urban computing. He has authored over 200 papers and seven books, with consistent publication activity into 2024. Scientific Recognition: Fellow, IEEE Member, ACM Member, AAAS Member, Sigma Xi Agrawala has advised over thirty Ph.D. students, many of whom now lead research in academia and industry. His research has been funded by DARPA, NSF, and AFOSR, with corporate partnerships from IBM, Novell, and AT&T. He previously worked at Honeywell Information Systems, where he designed an Optical Character Reader. He has also served as a consultant to the UNDP and the Government of India, and as a technical expert in legal cases. He leads the MIND Lab, which focuses on mobile computing, wireless networks, and context-aware systems , continuing to innovate in real-time and networked systems.

• Structural Engineering
• Structural Mechanics
• Progressive Collapse
• +16 more

Valerio De Biagi is an Associate Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at the Polytechnic University of Turin, Italy. He is a member of the Interdepartmental Center SISCON (Safety of Infrastructures and Constructions) and serves as Vice Coordinator of the PhD program in Civil and Environmental Engineering. He also acts as the Partnership Agreement Coordinator with STRADA DEI PARCHI, reflecting his strong engagement with industry and infrastructure safety. Research Interests: Structural robustness and progressive collapse Natural hazards (rockfalls, avalanches, debris flows) Structural health monitoring and damage modeling Reliability and risk assessment of civil infrastructure Mechanics of granular materials (snow) His recent research output shows a strong trend toward probabilistic risk assessment, experimental and numerical modeling of impact events, and the development of resilient structural systems. He frequently applies advanced computational methods, including finite element analysis and generative AI, to simulate extreme loading scenarios and infrastructure response. Scientific Roles: Effective Member, SISCO - Italian Society of Building Science (2019–present) Guest Editor, Applied Sciences (2020–present) Evaluator for Swiss National Science Foundation (MINT 2023, COST 2022) Advising and Grants: He actively supervises multiple PhD students across several cycles and leads numerous funded research projects, including competitive national grants (PRIN), PNRR initiatives, and commercial research contracts with public infrastructure agencies. His projects focus on structural safety assessment, development of monitoring protocols, and risk mitigation strategies for bridges, tunnels, and rockfall-prone areas. Labs and Teams: He leads research teams focused on structural complexity, natural hazard interaction, and granular material mechanics. His work involves experimental campaigns, field surveys, and back-analyses of real-world structural failures.

• Artificial Intelligence
• Machine Learning
• Internet of Things
• +13 more

Edoardo Patti is an Associate Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He is actively involved in research and teaching, focusing on artificial intelligence, machine learning, IoT, smart grids, energy communities, co-simulation, and digital twin technologies. He is a member of the EDA (Electronic Design Automation) research group and the Interdepartmental Center IAM@PoliTo for Integrated Additive Manufacturing. His research interests span Artificial Intelligence, Machine Learning, Internet of Things, Smart Grids, Energy Communities, Co-simulation, Distributed Software Infrastructure, Digital Twin, Physics-Informed Neural Networks, and Reinforcement Learning . His work is closely aligned with Sustainable Development Goals such as Affordable and Clean Energy (Goal 7), Sustainable Cities (Goal 11), and Climate Action (Goal 13). The latest publications reveal a strong trend in AI-driven modeling for energy systems, including digital twins for wave energy converters, urban electric mobility simulation, real-time battery health estimation, and co-simulation platforms for integrated energy systems. His work combines machine learning with physical models and large-scale distributed systems to address sustainability challenges. He supervises several PhD students, including Maria Adelaide Loffa, Matia Torlini, Rafael Natalio Fontana Crespo, Pietro Rando Mazzarino, Claudia De Vizia, and Marco Massano. He has led numerous research projects funded by EU (H2020), PNRR, regional initiatives, and corporate contracts, particularly in additive manufacturing, smart grids, and IoT platforms. He is involved in multiple research groups and centers: EDA - Electronic Design Automation (DAUIN) Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing