Pere Munar Vallespir is a Researcher at the Technical University of Munich (TUM), affiliated with the Chair of Theoretical Information Technology under Prof. Boche. He holds a Master of Science degree and operates within the Department of Theoretical Information Technology at the Theresienstr. 90/IV campus in Munich. His research spans Quantum Information Theory and Quantum Communication, with specialized focus on quantum advantages in sensing and data transmission. Key investigations include bosonic channel capacity, free-space optical communication using structured light, and integrated quantum communication-sensing protocols. His work bridges theoretical frameworks with practical network applications. Recent publications reveal a concentrated trend toward exploiting quantum phenomena in lossy environments, particularly through Bessel-like beams for atmospheric communication and dual-function quantum channels. This research directly addresses scalability challenges in quantum networks while advancing secure transmission and eavesdropping detection mechanisms. Munar Vallespir contributes to TUM's LTI Chair, a leading hub for theoretical information technology research that develops foundational principles for next-generation communication systems.
Maria Samonaki is a Researcher at the Chair of Communication Networks (LKN) at Technical University of Munich since April 2022. She holds an Integrated Master's in Electrical and Computer Engineering from Technical University of Crete (2022). Research focus: Reliability and resilience in multi-domain networks , optical network planning, quantum key distribution (QKD) systems, and network sovereignty metrics. Email: maria.samonaki@tum.de Her publications (2022–2025) span IEEE journals and EuCNC conferences , addressing topics like multi-period optical network optimization, survivable routing algorithms, and QKD network upgrades. Collaborators include Prof. Wolfgang Kellerer, Prof. Carmen Mas-Machuca, and Dr. Mario Wenning. No explicit awards or educational details beyond her diploma are documented in the source text. Her work connects to ongoing projects like 6G Future Lab Bavaria and DFG-funded initiatives .
Dmitry Sergeevich Osipov is a Professor at the Moscow Institute of Electronics and Mathematics (part of National Research University Higher School of Economics ), with 22 years of scientific and teaching experience . He has been employed at HSE since 2013 and also serves as a Senior Researcher at the Institute for Information Transmission Problems (IITP RAS) since 2003. Education: Doctor of Technical Sciences (2023), Moscow Institute of Physics and Technology Candidate of Technical Sciences (2008), Moscow Institute of Physics and Technology Specialist (2003), Bauman Moscow State Technical University in 'Aircraft Control Systems' Research Interests include multiple access coding theory , wireless communication , information theory , wireless optical communication , and the Internet of Things . His work focuses on nonparametric detection, order statistics, and robust communication systems under interference. Recent Publications emphasize nonparametric reception techniques , coding schemes for FH OFDMA systems , and wireless channel simulation , with applications in IoT and massive machine-to-machine communication. Scientific Awards: Laureate of the Moscow Government Prize (2013) in Information and Communication Technologies Recipient of Faculty of Computer Science Gratitude (2018) Advising includes mentoring students on: Nonbinary code decoding (Malakhova, 2019) Soft decoding techniques (Titov, 2017) Signal-code constructions (Subbotin, 2016) Multiagent system strategies (Egorov, 2015)
Hector Gutierrez is a Professor in the Department of Mechanical and Civil Engineering at Florida Institute of Technology's College of Engineering and Science. He also holds an affiliate faculty position in the Department of Aerospace, Physics and Space Sciences within the same college. Motion Control Electromechanical Systems Mechatronics Aerospace Systems Vision-Based Navigation Autonomous Systems Instrumentation His research focuses on aerospace systems, autonomous navigation, and control mechanisms, with applications in spacecraft dynamics, robotics, and sensor technologies. Recent publications highlight his work in vibration control, eddy current modeling, and reinforcement learning for spacecraft automation. Collaborative efforts include GPS-denied navigation and electromagnetic actuation for energy-efficient spacecraft control. Notable awards include the 2003 Office of Naval Research Young Investigator Award, 2001 NSF Career Award, and multiple Florida Tech research excellence recognitions. Affiliations include the Institute of Electrical and Electronic Engineers (IEEE) and the American Institute for Aeronautics and Astronautics (AIAA). Contact: hgutier@fit.edu | Office: F.W. Olin Engineering Complex, 214 | Phone: (321) 674-7321
Professor Tong Sun OBE FREng is a distinguished Professor of Sensor Engineering at City, University of London, where she leads pioneering research in optical fiber sensors and instrumentation. Her work bridges academic excellence with industrial applications, addressing critical challenges across multiple sectors including transportation, built environment, biomedical applications, and homeland security. Professor Sun earned her academic credentials from prestigious institutions: DEng in Precision Instrumentation from Harbin Institute of Technology, China (1998) MEng in Precision Instrumentation from Harbin Institute of Technology, China (1993) BEng in Precision Instrumentation from Harbin Institute of Technology, China (1990) PhD in Applied Physics from City University London (1999) Professor Sun's research focuses on developing and applying optical fiber sensors to solve real-world industrial problems. Her work spans five major application areas: (i) transportation sensors including smart railway pantographs, marine shaft/propeller monitoring, and self-sensing electric motors for aircraft; (ii) built environment sensors such as humidity sensors for sewer monitoring and heavy metal detectors for soil contamination; (iii) sensors for the electric revolution including self-sensing power electronics; (iv) biomedical applications like smart contact lenses for glaucoma detection; and (v) homeland security sensors using molecular imprinting for drugs and explosives detection. Her research team has designed and manufactured numerous specialized optical fiber sensors tailored to industry challenges, with over 300 scientific papers and 10 patent applications to her name. Her extensive publication record reveals a consistent trajectory toward increasingly sophisticated sensor applications, with recent work focusing on graphene-enhanced sensors, IoT integration for infrastructure monitoring, and quantum sensing approaches. The research demonstrates strong interdisciplinary connections between optical engineering, materials science, and practical industrial applications. Professor Sun's exceptional contributions have been recognized with numerous prestigious awards: Silver Medal 2016 from the Royal Academy of Engineering Oxburgh Medal 2016 from the Institute of Measurement and Control Callendar Medal 2010 from the Institute of Measurement and Control Times Higher Education Award 2019 for 'Outstanding Research Supervisor of the Year' OBE (Officer of the Order of the British Empire) in the 2018 Queen's Birthday Honours Elected Fellow of the Royal Academy of Engineering (2020) Professor Sun has supervised numerous PhD students across diverse sensor applications and has secured more than 50 research projects as PI/CoI. Her funding portfolio includes support from UK research councils, charitable organizations, and direct industry partnerships, reflecting the strong practical relevance of her work. She holds the Faiveley Brecknell Willis/Royal Academy Research Chair, underscoring her leadership in engineering research. Her laboratory serves as a hub for sensor innovation, with research teams working on specialized optical fiber sensor development for extreme environments, structural health monitoring, and biomedical applications. The lab maintains strong industry partnerships that ensure research translates directly into practical solutions for real-world challenges.
Idelfonso Tafur Monroy is a Professor at the Electrical Engineering department of Eindhoven University of Technology, specializing in photonic terahertz systems. He leads the Terahertz Photonic Systems group and is affiliated with the Center for Quantum Materials and Technology Eindhoven, Center for Terahertz Science and Technology Eindhoven, and Quantum & Terahertz Systems. Research focuses on photonic techniques for THz spectrum generation/detection Key projects: 5G PPP blueSPACE (team leader), H2020 ITN CELTA (project leader) Co-founder of Danish startup Bifrost Communications His work aims to develop compact THz modules for communications, agri-food, security, and biomedical applications, while creating theoretical models for THz-electronic co-design. He has authored over 500 publications and supervised 20 PhD students. Recent publications highlight: 50 GHz optical beamforming for mm-wave networks (2018) Metamaterial absorber optimization for THz applications (2018) These studies demonstrate expertise in photonic integration, metasurface engineering, and hybrid optical/mm-wave systems. He previously worked at DTU Fotonik (Denmark), Beijing University of Posts and Telecommunications, UC Berkeley, and ITMO University as visiting professor. His academic journey includes MSc from Saint Petersburg University of Telecommunications (1992) and PhD from TU/e (1999).
Giuseppe Durisi is a Full Professor at the Communication Systems Group within the Department of Electrical Engineering (E2) at Chalmers University of Technology, Sweden. His work bridges information theory with machine learning, focusing on latency-reliability-throughput trade-offs in digital communication, next-gen cellular systems, and theoretical foundations of neural networks. Education: Laurea (summa cum laude) and Doctorate from Politecnico di Torino, Italy (2001/2006). Career: Postdoc at ETH Zurich (2006-2010), Chalmers since 2010, co-director of ICT Area of Advance, director of AI Research Center, and current master program director. His research explores: Optimal coding schemes for millimeter-wave massive MIMO systems Mathematical frameworks for low-latency ultra-reliable communication Convergence of information theory and deep learning principles Recent scientific awards include: 2013 IEEE ComSoc Best Young Researcher Award (EMEA) 2012 ISIT Student Paper Award 2013 IEEE Sweden VT-COM-IT best student paper award Active in journal editorial roles since 2011, currently serving as Associate Editor for IEEE Transactions on Information Theory . The Communication Systems Group he leads maintains open PhD and postdoc positions, with a focus on theoretical machine learning and 6G connectivity research.
Hedde H. W. J. Bosman is an active researcher in the fields of Anomaly Detection , Wireless Sensor Networks , and Embedded Systems . His work focuses on developing lightweight, efficient machine learning techniques for real-time anomaly detection in distributed environments. He has collaborated with researchers like Antonio Liotta and Giovanni Iacca across multiple publications. His research includes Designing fixed-point implementations of online learning algorithms (e.g., OS-ELM) for sensor networks Advancing ensemble-based anomaly detection methods in ad hoc and wireless networks Developing experimental facilities like WaterLab for cyber-physical systems in water distribution networks Optimizing optical wireless networks with beam-steering and PAM modulation Although no explicit university affiliation, awards, or student advising details are mentioned in the provided text, his contributions to sensor network anomaly detection and distributed learning are highly cited and interdisciplinary, spanning Computer Science and Engineering .
Saeid Moslehpour is Chair and Associate Professor in the Department of Electrical and Computer Engineering at the University of Hartford's College of Engineering, Technology, and Architecture. He holds a Ph.D. in Industrial Technology and Computer Engineering (1993) from Iowa State University, along with multiple degrees from the University of Central Missouri including an Ed.Sp in Industrial Technology. Ph.D., Industrial Technology and Computer Engineering - Iowa State University (1993) Ed.Sp, Industrial Technology - University of Central Missouri MS, Electronics - University of Central Missouri BS, Electronics - University of Central Missouri His research focuses on Soft Processors , Electronic Modeling , and Cyber Learning , with expertise in SPICE modeling, FPGA/VHDL/Verilog programming, microprocessor design, telecommunications, and digital signal processing. He has pioneered laboratory developments including wireless, telecommunications, and surface roughness analysis systems. Recent work includes publications on EEG signal analysis , space systems hazard analysis , and embedded electronics . He received academic honors from Phi Kappa Phi and Epsilon Pi societies and maintains certifications in telecommunications and Cisco networking systems. Phi Kappa Phi Academic Honor Society (1993) Epsilon Pi Industrial Technology Honor Society (1993) Excellent Student Scholarship (1992-94) As an ASEE editor and committee chair, he has shaped engineering education policy and assessment. His industry collaborations with Northern Net Technology and Pars Server Tehran demonstrate practical applications of his work.
Khaled Abdel Harfoush is an Associate Professor at North Carolina State University, affiliated with the College of Engineering and Department of Computer Science. He holds a Ph.D. in Computer Science from Boston University (2002) and earned his M.Sc. and B.Sc. from Alexandria University, Egypt. Education: Ph.D. (2002), M.Sc. (1995), B.Sc. (1992) in Computer Science His research spans computer networking, internet measurements, peer-to-peer systems, and routing protocols, with significant contributions to network security and quantum key distribution. His work addresses censorship resistance, blockchain infrastructure, vehicular network reliability, and wireless sensing. Recent publications analyze censorship techniques, decentralized network vulnerabilities, and protocol optimizations. He received the prestigious National Science Foundation Faculty Early CAREER Award (2004) and Best Paper Award (2006) for his work in virtualization and grid management. Scientific Awards: National Science Foundation Faculty Early CAREER Award (2004) Best Paper Award, IFIP/IEEE International Workshop on End-to-End Virtualization and Grid Management (2006) He has secured multiple grants including Fulbright Junior Faculty Development Program funding (2022) and research grants from NCSU Institute for Next Generation IT Systems for WLAN security and congestion control projects.
Risto Wichman is a Professor in the Department of Information and Communications Engineering at Aalto University's School of Electrical Engineering. His research focuses on signal processing techniques for wireless communication systems, spanning physical layer design and MAC layer innovations with applications in next-generation networks. His research interests center on in-band full-duplex communications, multiple antenna systems (including massive MIMO), RF non-ideality compensation, spectrum sharing, cooperative communications, and network topology optimization. He employs advanced methodologies from communication theory, detection and estimation theory, stochastic geometry, random matrix theory, and large system analysis to solve complex wireless challenges. Recent publications (2024-2025) reveal strong emphasis on satellite-terrestrial integration, optical wireless networks, and machine learning-driven resource allocation. Key themes include line-of-sight optimization for positioning/sensing, Doppler effect characterization in LEO networks, full-duplex protocol design, and information harvesting for wireless power transfer. His work bridges theoretical foundations with practical implementations for 5G/6G systems. No scientific awards are documented in the provided materials. Information regarding student advising and research grants is not specified in the available sources. His leadership of the Risto Wichman Research Group drives collaborative work in wireless signal processing. The Risto Wichman Research Group focuses on cutting-edge wireless communication systems, with active projects spanning satellite networks, optical wireless integration, full-duplex technologies, and machine learning applications for network optimization. The group maintains strong industry and academic collaborations while developing solutions for real-world deployment challenges.
Dr. Steve Chen is an Associate Professor in Marketing at the Southampton Business School , University of Southampton. His research focuses on Luxury Marketing , Consumer Behavior , Digital Marketing , and Capability-related Studies . Bachelor's in Management, Royal Holloway, University of London MSc in Business Information Systems, Royal Holloway, University of London PhD in Information System Management, Royal Holloway, University of London His research interests span consumer behavior, luxury marketing, digital marketing, and capability-related studies. He has published extensively in journals such as the Journal of World Business , International Marketing Review , and Information Technology & People , often exploring intersections between technology, marketing strategy, and cross-cultural dynamics. Recent publications include studies on IT capabilities from a resource-based theory perspective (2024) and co-branding strategies across Eastern and Western markets (2020). He also co-chairs tracks at Academy of Marketing Science (US) conferences . Steve teaches Luxury Marketing and related topics, aligning his teaching with his research expertise. He previously held faculty roles at Oxford Brookes University, Middlesex University, and Royal Holloway. Before academia, he worked in the online retail industry as a senior executive, specializing in web analytics and IT marketing for over 8 years.
Pascal Xavier is a Professor at the Department of Electrical Engineering and Industrial Computing within the Institute of Technology at the University of Grenoble Alpes. He has been teaching since 1993 at IUT1 Grenoble and leads the DHREAMS research team at the CROMA Laboratory (UMR 5130 CNRS/G-INP/UGA/USMB) since 2018. His current responsibilities include coordinating the European Horizon EIC Challenge project 'DESIRE4EU' for responsible electronics since September 2024. His educational background includes an Engineering degree from ENSIEG-INPG (1988), DEA in Electrical Engineering (1988), Doctorate in Physics (1994) on 'Study of the microwave response of vortices in thin superconducting layers,' and HDR in Physics (2000) on 'Hyperfrequency devices operating on a thermal principle.' Xavier's research focuses on sustainable electronics and instrumentation, particularly in microwave frequencies. His work spans RF system design for environmental sciences, multi-physics numerical modeling (electromagnetism and thermal), and RF characterization of materials. Recent publications reveal a strong emphasis on biodegradable substrates (PLA/flax composites) for RF components, bacterial detection using electromagnetic methods, and sustainable PCB development. His team actively investigates moisture effects on cellulosic materials and develops eco-friendly alternatives for electronic applications. With 15 thesis supervisions and participation in 36 defense juries (including 13 as President), Xavier has significantly contributed to academic mentoring. His collective responsibilities include serving as IEEE T-CPMT Associate Editor, Program Chair for IEEE SPI 2019, and leadership in the 'DAMP' maturation project with SATT Linksium. He previously chaired the 'Optics and Radiofrequencies' specialty for the EEATS Doctoral School (2015-2023) and served on IUT1 Grenoble's Board of Directors (2011-2015). Xavier leads the DHREAMS team at CROMA Laboratory, which develops sustainable RF technologies and instrumentation. Their work bridges academic research with industrial applications through projects like DESIRE4EU, focusing on reducing electronics' environmental impact while maintaining performance standards.
Olivier Hudry is a Professor at Télécom Paris in the Computer Science and Networks (Infres) department. He is affiliated with the Cybersecurity and Cryptography (C²) research team and the Information Processing and Communication Laboratory (LTCI) . His work bridges combinatorial optimization and graph theory with applications in cybersecurity , voting theory , and network optimization . His research includes identifying codes in graphs , domination problems , and algorithmic complexity in social choice theory. Recent publications focus on q-ary Lee hypercubes , rainbow problems , and unique solutions in graph theory . He has also developed software for computing Slater indices in tournaments . Teaching roles include courses on Data Structures and Algorithms (INF 101), Continuous Optimization (MDI 210), Complexity Theory (MITRO 203), and Combinatorial Optimization (MITRO 205). He has authored textbooks on combinatorial analysis and operations research . Contact: olivier.hudry@telecom-paris.fr | olivier.hudry@telecom-paristech.fr
Kris Steenhaut is a researcher at the College of Engineering , Vrije Universiteit Brussel , specializing in Electronics and Informatics . His work bridges Research, Development, and Innovation in domains like wireless sensor networks, IoT, and cybersecurity. Fields of Interest : Wireless Sensor Networks, Network Protocols, Internet of Things, Cryptography, Embedded Systems, Cybersecurity. Research Trends : Recent publications focus on optimizing cryptographic algorithms for ARM processors, Rust in embedded systems, IoT security protocols, and privacy-preserving frameworks. These works intersect with Computer Science , Communication Engineering , and Network Security . Scientific Awards : ITEA Achievement Award Gold Medal (2010)
