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Mir FeroskhanView profile

Assistant Professor

• Autonomous Flight
• AI-driven UAV Applications
• Drone Swarm Intelligence
• +1 more

Dr. Mir Feroskhan is an Assistant Professor in the School of Mechanical & Aerospace Engineering at Nanyang Technological University (NTU) and Deputy Director of the Air Traffic Management Research Institute. He leads the Intelligent Cybernetics Group (ICG) and directs autonomous flight control research at NTU's eVTOL Research & Innovation Center. Research focuses on AI-enabled drone applications, including autonomous navigation, swarm intelligence, and space situational awareness. Notable projects include A*STAR-funded investigations into UAV vision systems and dynamic tooling for microservices extraction in aviation software. Honors include: A*STAR Young Individual Research Grant Award MoE Tier 2 Research Grant Professional leadership includes Associate Editor roles for IEEE Transactions on Cybernetics and Scientific Reports.

• Aerospace Engineering
• Optimal Control Theory
• Air Traffic Management
• +5 more

Manuel Fernando Soler Arnedo is a Full Professor in the Aerospace Engineering Department at Carlos III University of Madrid's College of Engineering. His research focuses on Aerospace Engineering with specialization in Optimal Control Theory , Climate Impact Mitigation , and Artificial Intelligence applications for air traffic systems. He leads the Aerospace Engineering Research Group and has contributed extensively to Flight Trajectory Optimization , Weather-Induced Uncertainty , and Network-scale Conflict Resolution . Principal Researcher on EU-funded projects like F4EClim (2024-2027) and KAIROS (2023-2026) Key international collaborations with NEXTOR (UC Berkeley) and ETH Zurich Developed tools like CLIMaCCF V1.0 and ROOST V1.0 for climate-aware flight planning His work integrates Artificial Intelligence with Climate Modeling to address 4D Trajectory Planning , Thunderstorm Avoidance , and Non-CO2 Emission Reduction in aviation. Recent publications emphasize Robust Optimization under meteorological uncertainty and Deep Learning for traffic flow management. He has supervised theses on Data Science for Weather Mitigation and Multi-objective Space Mission Design , with grants from European Commission , Boeing , and Spanish government agencies .

Hui WangView profile

Associate Professor

• Stochastic Optimization
• Mathematical Finance
• Game-Theoretic Importance Sampling
• +4 more

Hui Wang is an Associate Professor of Applied Mathematics at Brown University, specializing in stochastic optimization, mathematical finance, and game-theoretic importance sampling. He holds a PhD from Columbia University (2000) and an MS from Tsinghua University (1996). His research focuses on variance reduction techniques in Monte Carlo simulations, particularly through a game-theoretic lens developed with Paul Dupuis. He has received the Manning Assistant Professorship (2004) and held grants from NSF and DOE. Teaching interests include probability theory, stochastic processes, and financial mathematics courses such as APMA 1720 and APMA 1655. His work intersects with queuing networks, simulation methodologies, and stochastic games. Recent efforts explore robust control in high-dimensional systems and extensions of importance sampling to complex network models. He actively referees for top journals like Annals of Applied Probability and SIAM Journal on Control and Optimization. Key contributions include explicit solutions for path-dependent options and convex duality methods in incomplete markets. Current research priorities involve advancing differential game frameworks for adaptive sampling algorithms and addressing scalability challenges in stochastic network optimization.

• Computer Networks
• Software-Defined Networking (SDN)
• Telecommunications
• +5 more

José Manuel Arco Rodríguez is an Associate Professor in the Department of Automation at the Universidad de Alcalá (Spain). He holds a Doctorate from the same institution for his thesis Propuesta de optimización de la interconexión de redes con calidad de servicio para aplicaciones multimedia (2000), supervised by Dr. Daniel Meziat Luna. His research focuses on intelligent networks, software-defined networking (SDN), edge computing, and telecommunication systems, with particular emphasis on network optimization, protocol design, and AI integration in network architectures. He leads the NetIS research group (Networks and Intelligent Systems), exploring cutting-edge solutions for scalable, reliable data center networks and industrial IoT ecosystems. Key research areas include in-band network control, hybrid SDN architectures, multi-hop edge computing with IoT devices, and low-latency bridging protocols. His work spans theoretical frameworks to hardware implementations (e.g., NetFPGA), with a strong emphasis on practical applications in data centers, campus networks, and industrial environments. Recent contributions address AI-driven network management, plug-and-play routing protocols, and zero-configuration network architectures. Publications highlight advancements in SDN topology discovery (TEDP), scalable addressing (GA3), and path exploration protocols (ARP-Path, All-Path Bridging). His research bridges theoretical networking principles with real-world deployment challenges, often emphasizing interoperability between legacy and modern systems. Arco Rodríguez has collaborated on EU-funded projects and contributed to international standards for network protocols. His lab (NetIS) actively develops open-source tools for network analysis and simulation. Current research trends include AI-enhanced softwarized networks and cloud-edge continuum architectures for IIoT.

Luis de la Cruz PirisView profile

Assistant Professor

• Network Optimization
• Cybersecurity
• Intelligent Transportation Systems
• +3 more

Luis de la Cruz Piris is an Assistant Professor in the Department of Telematics Engineering at Universidad de Alcalá. His research focuses on network optimization, cybersecurity, and intelligent transportation systems. He is part of the NetIS research group (Networks and Intelligent Systems). He earned his Ph.D. in 2019 with a thesis on multi-objective optimization strategies for vehicle coordination at urban intersections, supervised by Dr. Iván Marsá Maestre and Dr. Miguel Ángel López Carmona. His research interests include wireless network optimization (e.g., Wi-Fi channel assignment), IoT security frameworks, and AI-driven threat mitigation. Notable projects include the EnvAdapt-CRO-SL algorithm for dynamic channel management and CloudWall, a resilient healthcare IT infrastructure framework. Recent work explores unsupervised learning for cybersecurity, cooperative approaches to Wi-Fi performance, and distributed multi-agent systems for network resilience. His publications span topics like smart traffic light management, OAuth token configuration in IoT, and fuzzy ontology-based driver behavior analysis.

• Wireless Communication Systems
• Numerical Simulation Techniques
• Electromagnetic Compatibility
• +3 more

Óscar Gutiérrez Blanco is a Professor at the Universidad de Alcalá , affiliated with the Department of Computer Science within the School of Computer Science and Artificial Intelligence . He is a member of the GTNA Group of Advanced Numerical Techniques , focusing on computational methods and wireless communication systems. He holds a Doctorate in Computer Science from Universidad de Alcalá (2002), with a thesis titled Contribución a la mejora de la óptica física para el cálculo del campo radiado y dispersado por cuerpos complejos , supervised by Dr. Manuel Felipe Cátedra Pérez and Dr. Francisco Manuel Sáez de Adana Herrero. His research emphasizes natural and hybrid localization algorithms , numerical simulation techniques , and wireless communication systems . He has pioneered work in ray-tracing methods for indoor/outdoor localization, real-time kinematic positioning in agriculture, and electromagnetic compatibility in healthcare environments. His interdisciplinary work spans computational biology (avian morphometrics, tick-borne pathogens) and medical research (IGF-I gene therapy for glioblastoma). Key contributions include the FASPRO and FASANT software tools for propagation analysis and antenna modeling. His web-based simulation tool integrates OpenStreetMap data for outdoor path loss estimation. Recent work explores precision agriculture through low-cost RTK systems and high-precision airport safety algorithms. No scientific awards are explicitly listed, but his extensive publication record reflects sustained innovation in computational and applied research. He has advised numerous graduate projects (theses listed in institutional portal) and collaborates internationally on sensor networks and biomedical applications.

Elisa Rojas SánchezView profile

Professor

• Networking
• Software-Defined Networking (SDN)
• Edge Computing
• +7 more

Elisa Rojas Sánchez is a tenured professor at the University of Alcalá, affiliated with the Department of Automation within the School of Telematics Engineering. Her primary research focuses on advanced networking technologies including Software-Defined Networking (SDN), edge computing, IoT integration, and network architecture optimization. She leads the NetIS research group (Networks and Intelligent Systems), exploring innovations in programmable networks and intelligent systems for future communication infrastructures. Her academic background includes a doctoral thesis on high-performance transparent Ethernet switch architectures. She has contributed significantly to protocols like ARP-Path and Torii-HLMAC, advancing scalable routing and fault-tolerant data center designs. Her work bridges theoretical networking research with practical implementations in 6G, industrial IoT, and cloud-edge continuum systems. Recent publications highlight breakthroughs in data-driven protocols (e.g., BareFlow), AI-driven fault prediction in smart grids, and topology-aware resource management in dense networks. She also explores educational innovations like gamification in engineering teaching and hybrid SDN methodologies. Key Research Themes: SDN protocols, edge computing frameworks, IoT scalability, network resilience, AI in networking Notable Achievements: Developed open-source tools like NetIDE, contributed to OpenFlow standards, and pioneered multi-path routing algorithms Her work frequently addresses real-world challenges such as latency reduction in programmable ASICs (Tofino P4), secure in-band control channels, and collaborative resource-sharing in edge environments. She actively participates in international conferences as a program chair and continues advancing the next generation of network architectures.

• Blockchain Technology
• Data Analytics
• Cybersecurity
• +7 more

Salvador Sánchez Alonso is a Professor at the Department of Computer Languages and Systems, Universidad de Alcalá. He holds a PhD from Universidad Politécnica de Madrid (2005) under Dr. Miguel Ángel Sicilia Urbán. His research focuses on blockchain technology, cybersecurity, linked data, healthcare informatics, and educational technology. He actively contributes to the I4 research group (Intelligence, Innovation, Internet, and Information), exploring topics like privacy-preserving systems, social network analysis, and open data principles. His work bridges theoretical advancements with practical applications, such as predictive modeling for healthcare innovation, quality assessment of educational resources, and decentralized identity systems. Recent publications highlight innovations in quantum software measurement, KlimaDAO analysis, and ethical AI traceability. He has also explored the impact of political events on social networks and hospital resource management through predictive analytics. Key contributions include frameworks for metadata quality in digital repositories, interlinking educational data with the Web of Data, and applying blockchain for secure metadata deployment. His research often intersects interdisciplinary domains, emphasizing social data visualization and user-centric repository design.

Greg FormosaView profile

Lecturer

• Robotic Medical Devices
• Wheeled Robot Dynamics
• Medical Device Design
• +3 more

Greg Formosa is a Lecturer in the Department of Robotics at the University of Michigan. His research focuses on mechanical design engineering for robotic medical devices, wheeled robot dynamics, and STEM education methodologies. He specializes in the design, fabrication, and control of medical robotics, particularly in endoscopic and gastrointestinal applications. His work emphasizes autonomous navigation systems, state estimation algorithms, and clinical validation of robotic platforms. Key contributions include the development of modular simulation tools like MESA and advancements in real-time navigation for medical robotics. Formosa also engages in pedagogical research to improve design engineering education. Publications span from 2010 to 2024, with a recent focus on autonomous endoscopy systems and robotic capsule design. Earlier work includes acoustics research in brass instruments, showcasing interdisciplinary interests.

Yasaman GhasempourView profile

Assistant Professor

• Wireless Communication
• Terahertz Networks
• Millimeter-Wave Systems
• +7 more

Yasaman Ghasempour is an Assistant Professor in the Department of Electrical and Computer Engineering at Princeton University, affiliated with the School of Engineering and Applied Science. She joined Princeton in Spring 2021 and leads the Smart Wireless Agile Networks Lab. Her research focuses on next-generation wireless communication and sensing systems, particularly in millimeter-wave (mmWave) and terahertz (THz) networks, IoT, robotic wireless networks, and security. She holds a Ph.D. and M.Sc. in Electrical and Computer Engineering from Rice University (2020 and 2016, respectively). Education: Ph.D., Rice University (2020); M.Sc., Rice University (2016) Labs: Smart Wireless Agile Networks Lab Her research spans adaptive mmWave wireless networks , THz communication/sensing systems , intelligent surfaces , and cross-layer security . She develops theoretical frameworks and experimental systems to enable ultra-fast, secure, and robust wireless networks. Notable contributions include metamaterial-based sensors for fruit ripeness, non-invasive wireless sensing, and security protocols against adversarial attacks. Awards include the NSF CAREER Award (2022), AFOSR Young Investigator Award (2024), and multiple best paper awards at ACM SenSys, IEEE WCNC, and ACM MobiCom. She advises over 10 graduate students, fostering innovation in wireless systems and security. Grants: NSF CAREER, AFOSR Young Investigator, Princeton SEAS Faculty Award Key Projects: Sub-THz metamaterial stickers, robotic perception via wireless sensing, secure THz networks

• Strategic Management
• Organizational Behavior
• Innovation Management
• +5 more

Rocío Aguilar Caro is a full-time Lecturer in the Department of Organization of Enterprises and Marketing at the Universidad Pablo de Olavide's Faculty of Business. She specializes in strategic management, innovation, and organizational behavior, with a focus on entrepreneurship, gender studies, and educational methodologies. Her teaching responsibilities include courses such as 'Strategic Management' (undergraduate), 'Research Skills for Dissertation' (Business degree), and multiple postgraduate master's programs in business administration and human resources strategy. She actively advises students on master's theses through scheduled consultations. Dr. Aguilar Caro's research explores themes like venture signaling strategies, team dynamics, and flipped classroom effectiveness. Her work bridges theoretical frameworks with practical applications, spanning innovation success factors, investor decision-making, and workplace diversity impacts on creativity. Recent publications emphasize sustainable career paths for marginalized groups and resource management in turbulent environments. Her research project 'SEÑALES RETORICAS Y SUSTANTIVAS EN LA CARRERA HACIA UNA OFERTA PUBLICA INICIAL DE NUEVAS EMPRESAS AMBICIOSAS' examines communication strategies of new ventures targeting diverse investor bases. Though no awards are listed here, her prolific output across multiple disciplines highlights sustained academic engagement. Her teaching innovations include applying flipped classroom models to strategic management education and evaluating manipulative tools in engineering education. While advising details aren't explicitly stated, her postgraduate course involvement suggests active mentorship roles.

Vicent Girbés JuanView profile

Associate Professor

• Robotics
• Human-Robot Interaction
• Intelligent Vehicles
• +12 more

Vicent Girbés Juan is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His research is centered in the HRI Human-Robot Interaction Group, where he contributes to advanced robotics, intelligent vehicles, and human-centered automation systems. He earned his PhD from Universitat Politècnica de València in 2016 with a thesis on clothoid-based planning and control in autonomous and manual-assisted driving systems, supervised by Dr. Josep Tornero Montserrat and Dr. Leopoldo Armesto Ángel. His research interests span robotics, control systems, path planning for UAVs, visible light communication, haptic feedback in teleoperation, and educational innovation in engineering. He has published extensively on smooth trajectory generation, dual-arm robot control, sensor fusion, and V2V communications. His recent work shows a growing emphasis on integrating pedagogical innovation with engineering education, including flipped evaluation, peer assessment, and hackathon-based programming learning. His publications from 2021 to 2024 reveal a dual focus: advancing industrial robotics and intelligent transportation systems, while simultaneously innovating in teaching methodologies and student engagement in higher education. Key technical areas include clothoid-based 3D path planning, cautious Bayesian optimization, VLC positioning, and haptic-assisted teleoperation. He actively collaborates on interdisciplinary projects involving human-robot cooperation, industrial automation, and educational technology, reflecting a commitment to both technological advancement and pedagogical excellence. His email is vicent.girbes@uv.es .

Vinayak S. PrabhuView profile

Assistant Professor

• Formal Methods
• Formal Verification
• Model Checking
• +15 more

Vinayak S. Prabhu is an Assistant Professor in the Department of Computer Science at Colorado State University, where he conducts research in formal methods for cyber-physical systems. He holds a Ph.D. from the University of California at Berkeley and is supported by an NSF CAREER award. His research integrates formal verification, control theory, and software analysis to ensure the reliability of embedded and cyber-physical systems. His research interests include formal verification, model checking, temporal logics (especially Signal Temporal Logic), robustness in cyber-physical systems, conformance checking, hybrid and timed systems, multi-agent systems, scheduling, and security. He employs techniques from automata theory, logic, and software analysis to synthesize tools and algorithms for system development. His recent publications focus on monitoring and robustness of temporal logic specifications, with several papers published in top venues like HSCC, MEMOCODE, ECAI, and IEEE Transactions. His work demonstrates a strong trend in developing efficient, scalable, and quantitative methods for verifying complex real-time and hybrid systems. NSF CAREER Award Best paper award at MEMOCODE 2024 He advises several Ph.D. and M.S. students, including Bassem Ghorbel and Alperen Tercan, and has mentored numerous undergraduate researchers who have gone on to graduate programs at institutions like Duke and Michigan. He serves on program committees for major conferences like ICCPS and VMCAI and teaches courses such as Automata, Logic, and Computation, and Foundations of Formal Methods and Cyber-Physical Systems.

• Production Engineering
• Electrical Engineering
• Industry 4.0
• +5 more

Dr. Andreas Zedler is a Researcher at Leuphana University Lüneburg's Institute for Production Engineering and Systems (IPTS), where he bridges practical craftsmanship with advanced scientific research. His unique career trajectory spans from electrical installation apprenticeship to doctoral work in technical optics, creating a distinctive perspective that informs both teaching and research. Apprenticeship: Electrical installer (1980s) Bachelor: Applied Automation Technology, Northeast Lower Saxony University of Applied Sciences Master: Applied Computing, Northeast Lower Saxony University of Applied Sciences/University of Wolverhampton Doctorate: Dr. rer. nat. in technical optics His research integrates hands-on engineering experience with cutting-edge academic inquiry, focusing on production engineering systems where he leads projects addressing Industry 4.0 challenges, material forming processes, and digital competence development. Zedler's work consistently connects theoretical frameworks with practical implementation, particularly in remote laboratory systems and AI-driven manufacturing optimization. Recent publications reveal a strong trend toward data-driven process optimization, with 60% of his recent work incorporating AI/ML methodologies applied to manufacturing challenges. His research spans materials science (particularly magnesium nanocomposites and copper conductors), sensor fusion systems, and educational technology for engineering education, demonstrating remarkable interdisciplinary range while maintaining focus on practical industrial applications. Teaching Award recognizing innovative pedagogical approaches Zedler actively mentors students through bachelor's and master's thesis supervision at IPTS, while leading multiple collaborative research initiatives including BMBF-funded projects like PROMINT_40 for women in STEM and TrICo for sustainable production communities. His work connects academic research with industry through SME partnerships focused on 5G implementation and digital transformation. He contributes to Leuphana's technical infrastructure development, particularly in remote laboratory systems for electrical engineering education and the 10 MN extrusion press facility for advanced materials research, supporting both educational programs and industrial collaboration projects.

Martin SchörnerView profile

Researcher

• Robotics
• Software Engineering
• Automation
• +3 more

Martin Schörner is a Researcher at the Institute for Software & Systems Engineering within the Faculty of Applied Computer Science at the University of Augsburg, Germany, where he has been affiliated with the Chair of Software Engineering since 2019. His academic qualifications include: Master in Computer Science and Engineering (University of Augsburg, 2017-2019) Bachelor in Computer Science and Engineering (University of Augsburg, 2013-2017) His research centers on Software-driven Robotics and Automation , specializing in UAV-based inspection systems, distributed robot ensembles, and reconfigurable hardware architectures. His work bridges theoretical software engineering with practical robotics applications, focusing on autonomous navigation, emergency control systems, and semantic integration for industrial automation. Analysis of his 2020-2023 publications reveals a concentrated research trajectory in UAV inspection methodologies, featuring advancements in offline/online path planning, ROS 2 interfaces, and plug-and-play systems. Key thematic clusters include real-time route optimization for large-component inspection, emergency control architectures for UAV swarms, and semantic frameworks for hardware reconfiguration. No formal scientific awards or fellowships are documented in the available sources. While no student advisement records or specific grant funding details are publicly listed, his collaborative work with Prof. Wolfgang Reif and colleagues indicates active participation in institutional research initiatives. Current projects emphasize industrial automation through UAV ensembles and reconfigurable systems. He operates within the Software Engineering team at the Institute for Software & Systems Engineering (ISSE), which conducts fundamental and applied research under Prof. Reif's direction. The institute focuses on robotics software engineering, with applications in industrial inspection and autonomous systems development.