جست‌وجوی استاد و پژوهشگر

• multiple access
• coding theory
• information theory
• +۴ مورد دیگر

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)

Peter Baltusمشاهده پروفایل

استاد

• High-Frequency Integrated Circuit Design
• Wireless Communication Systems
• RF Circuit Design
• +۶ مورد دیگر

Peter Baltus is a Full Professor at Eindhoven University of Technology (TU/e) within the Department of Electrical Engineering , leading the Integrated Circuits group. He is affiliated with multiple centers including the Center for Wireless Technology Eindhoven , RF Sensing & Communication Lab , and Center for Astronomical Instrumentation . MSc and PhD in Electrical Engineering from TU/e (1985, 2004) Industry experience at Philips (22 years) and NXP His research focuses on high-frequency integrated circuits and unconventional wireless systems , emphasizing low-power design and real-world applications . Key projects include: Low-latency wireless transceivers Millimeter-wave wireless power transfer for sensors Swarm robotics for pipeline and volcano exploration Thermal modeling in photonic/electronic ICs Remote RF education platforms Recent publications highlight advancements in satellite communication modules (2024) and thermal prediction methods (2024), alongside educational reform proposals (2023). His work bridges analog/RF circuit design with system-level innovation , featuring 16 US patents and over 150 peer-reviewed papers. Veder Award (2006) Best Master Tutor at TU/e (2013) He has directed the Centre for Wireless Technology (2007-2016) and contributes to MOOC development and curriculum reform as evidenced by his 2023 conference paper on addressing systemic challenges in Electrical Engineering education.

Khaled Abdel Harfoushمشاهده پروفایل

دانشیار

• Computer Networking
• Internet Measurements
• Peer-to-Peer Systems
• +۷ مورد دیگر

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.

• Signal Processing
• Communication Systems
• Machine Learning algorithms and systems
• +۷ مورد دیگر

Andrew C. Singer is a Professor at the University of Illinois at Urbana-Champaign , with joint appointments in the College of Engineering (Electrical and Computer Engineering, Industrial and Enterprise Systems Engineering) and the College of Business (Business Administration). Since 1998, he has held roles including the Fox Family Endowed Professorship , Associate Dean for Innovation and Entrepreneurship (2018–present), and Director of the Technology Entrepreneur Center (2005–2017). He co-founded Intersymbol Communications, Inc. (2000, acquired by Finisar) and OceanComm (2015, underwater video communication). Education: Ph.D. in Electrical Engineering and Computer Science, MIT (1996). Research Interests span statistical signal processing , acoustic communication systems , machine learning , and low-power VLSI design , with applications in underwater acoustics, through-tissue communication, and augmented listening. His work integrates theoretical signal processing with practical hardware implementations. Recent Publications focus on acoustic communication under nonlinear conditions , low-complexity ADC design , and biomedical applications of signal processing . Articles from 2023–2020 highlight innovations in underwater navigation, face mask acoustics, and subsurface data transmission. Scientific Awards include: Hughes Aircraft Masters Fellowship Harold L. Hazen Memorial Award (1991) NSF CAREER Award (2000) Xerox Outstanding Faculty Award (2001) IEEE Fellow IEEE Signal Processing Society Distinguished Lecturer (2014) Best Paper Awards (2006, 2008) Leadership roles include Associate Editor for IEEE Transactions on Signal Processing and service on the MIT Educational Council . He directs the Coordinated Science Lab and advises on expert witness cases in audio and communication industries.

Deepak Vasishtمشاهده پروفایل

استادیار

• Wireless Networking
• Satellite Networks
• Mobile Computing
• +۷ مورد دیگر

Deepak Vasisht is an Assistant Professor in the Department of Computer Science at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in Electrical and Computer Engineering and the Coordinated Sciences Laboratory. He leads the rural connectivity thrust at the Center for Digital Agriculture and directs a research group focused on next-generation mobile computing and wireless networking systems. Dr. Vasisht earned his Ph.D. in Computer Science and Engineering from MIT in 2019, advised by Professor Dina Katabi, following an S.M. in Computer Science from MIT in 2015 and a B.Tech. in Computer Science and Engineering from IIT-Delhi in 2013, where he received the President of India Gold Medal for highest CGPA across all departments. His research spans four primary thrusts: Low Latency Satellite Connectivity for near-realtime Earth observation; Machine Learning for Next Generation Networks focusing on robust and verifiable ML models; Localization and Sensing using radio signals for applications in smart homes, healthcare, and indoor navigation; and Rural Connectivity and Data-driven Agriculture for digital farming solutions. His work has resulted in numerous high-impact publications at top venues including SIGCOMM, MobiCom, NSDI, and MobiSys. Dr. Vasisht's research has demonstrated significant trends toward space-Earth connectivity, with multiple papers on satellite networking in recent years, alongside continued innovation in wireless sensing and privacy protection systems. His team has developed novel approaches for satellite traffic scheduling, constellation-aware medium access, and radar-based localization. NSF CAREER Award (2023) Best Community Contribution Paper Award at ACM MobiCom (2024) Systems Research Award by VMWare (2023) ACM SIGCOMM Doctoral Dissertation Award (2020) Multiple Best Paper Awards across top conferences List of Teachers Ranked as Excellent by Students at UIUC (2021-2024) Dr. Vasisht has successfully advised numerous Ph.D. students including Jay Shenoy, Zikun Liu, Bill Tao, and Emerson Sie, with several receiving prestigious fellowships such as the Qualcomm Innovation Fellowship and Rambus Computer Engineering fellowship. His research is generously funded by NSF (including CAREER and RINGS awards), USDA, Microsoft, Cisco, and IBM, supporting his work on satellite networks, wireless sensing, and rural connectivity solutions. He leads the Connected Systems Lab at UIUC, which has developed influential systems including FarmBeats (now a Microsoft product) and innovative approaches to satellite networking, RF privacy, and in-body communication.

• Signal Processing
• Data Fusion
• Intelligent Transport Systems
• +۴ مورد دیگر

Luis Enrique Díez Blanco is an Assistant Professor at the University of Deusto's Faculty of Engineering, Department of Mechanics, Design and Industrial Management. He holds a PhD in Engineering for the Information Society and Sustainable Development (2019), a Master's in Communications Technologies from Polytechnic University of Madrid (2012), and a Telecommunications Engineering degree from Deusto (2005). His research focuses on signal processing and data fusion for intelligent transport systems, ambient assisted living, and wearable-based navigation. His work advances localization technologies through inertial sensors, UWB systems, and machine learning, with applications in healthcare, mobility, and resource-constrained environments. Research trends show consistent focus on hybrid positioning systems, error mitigation in wearable sensors, and practical implementations of IoT solutions. Awards: Best PhD Thesis Award (2020) First Prize in Pedestrian Dead Reckoning Competition (2016) Research recognition (Sexenio 2015-2020) He currently supervises two doctoral theses in localization systems and has led over 10 research projects including EU-funded initiatives (e.g., REACH, Modelling Emerging Transport Solutions) and industry collaborations with Mercedes-Benz and E PROCESS MED. As principal investigator of Deusto Smart Mobility research group, he coordinates work on intelligent transport and wearable technologies.

• Electronics
• Communications
• Industrial Internet of Things (IIoT)
• +۵ مورد دیگر

Nekane Ione Sainz Bedoya is a lecturer and researcher at the University of Deusto , College of Engineering , in the Computing, Electronics and Communication Technologies department. She received her M.S. in Telecommunications Engineering from the University of Deusto in 2001 and PhD in Engineering from the University of Navarra in 2005. Dr. Sainz's research focuses on Industrial Internet of Things (IIoT) Blockchain applications in industry and education Wireless sensor networks Intelligent transport systems Smart cities Renewable energy systems Her work spans over 20 years with significant contributions in vehicular communication systems and recent innovations in blockchain integration for Academic credential verification Food supply chain traceability Green hydrogen certification She has co-authored 10+ journal articles and 22+ conference papers, developing energy-efficient protocols for wireless networks and practical IoT-blockchain platforms. Dr. Sainz collaborates with industry leaders like Telefónica and Accenture on projects including Smart energy systems Industrial 4.0 Circular food systems Public lighting management She supervises research projects such as ACM2024_21 (AI Models for Early Dropout Prediction) Urban Adaptation Solutions (2024-2028) Green Hydrogen Blockchain Management (2024) European Circular Food Systems (2020-2024)

• Wireless Communications
• Digital Signal Processing
• MIMO Systems
• +۵ مورد دیگر

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.

Mau-Chung Frank Changمشاهده پروفایل

استاد

• High-speed electronics
• Terahertz technology
• RF circuits
• +۷ مورد دیگر

Mau-Chung Frank Chang is a Distinguished Professor of Electrical and Computer Engineering at the University of California, Los Angeles (UCLA), holding the Wintek Chair in Electrical Engineering. He leads the High Speed Electronics Lab and has pioneered advancements in semiconductor devices and integrated circuits for over three decades, with research spanning from RF/wireless interconnects to Terahertz systems-on-chip. His research expertise centers on high-speed and high-frequency (up to Terahertz) mixed-signal semiconductor heterojunction devices and CMOS integrated circuits. Key application areas include radio, radar, imaging systems, space science instrumentation, and Edge AI (AIoT) systems. Professor Chang's work bridges fundamental device physics with system-level design, enabling breakthroughs in wireless communication, scientific instrumentation, and low-power computing architectures. Recent publications (2021-2025) demonstrate a clear trajectory toward higher-frequency operation (sub-THz to THz), advanced modulation schemes (1024QAM), and integration of AI capabilities into RF systems. His team consistently pushes CMOS technology to new limits, developing beamforming transmitters, ultra-wideband antennas, and high-efficiency oscillators for next-generation communication and space applications. Professor Chang's exceptional contributions have been recognized with numerous prestigious awards: AASF Asian American Pioneer Medal (2024) IEEE/Royal Society of Edinburgh James Clerk Maxwell Medal (2023) IEEE-HKN Eminent Membership (2023) Member of the European Academy of Sciences and Arts (2022) IEEE Transactions on Circuits and Systems Darlington Best Paper Award (2021) IEEE Journal of Solid-State Circuits Best Paper Award (2012) IEEE International Symposium on High Performance Computer Architecture Best Paper Award (2008) As director of the High Speed Electronics Lab, Professor Chang oversees a world-class research group developing cutting-edge semiconductor technologies. His lab's innovations in heterojunction devices and CMOS integration have enabled commercial deployments in wireless communications (including 5+ billion HBT power amplifiers) and advanced scientific instrumentation for space exploration. Current research focuses on Edge AI systems, Terahertz imaging, and spaceborne spectrometer processors for planetary science missions.

William Navarajمشاهده پروفایل

مدرس ارشد

• Flexible Electronics
• Electronic Skin
• Smart Sensors
• +۵ مورد دیگر

William Navaraj is a Senior Lecturer in Engineering at Nottingham Trent University, specializing in flexible micro/nanoelectronic devices, electronic skin, and assistive robotics. He holds a PhD in Electrical and Electronic Engineering from the University of Glasgow and has over 8 years of interdisciplinary research experience. Education : PhD (University of Glasgow), MSc (CSIR-Central Electronics Engineering Research Institute), BSc (Academy of Scientific and Innovative Research) Research Interests His work focuses on: Flexible Electronics Electronic Skin Bio-mimetic Systems Wearable Healthcare Devices Graphene-based Sensors Nanowire Transistors Recent Publications Trends His 2018-2025 publications demonstrate expertise in tactile sensing, wearable dosimetry, and flexible robotics. Key topics include nanoribbon transistors, 3D-printed prosthetics, and self-powered e-skin systems. Scientific Contributions 50+ peer-reviewed publications 2 filed patents 2 book chapters on wearable bioelectronics Peer reviewer for 10+ journals/conferences Grants & Collaborations Recipient of ERDF, InnovateUK, and CSIR funding. Collaborates with institutions like Humotech (prosthetic systems), STMicroelectronics, and the University of Glasgow.

Paul Cholletمشاهده پروفایل

مدرس

• Low-Power Circuits
• Biological Signal Processing
• Analog-to-Feature Conversion
• +۳ مورد دیگر

Paul Chollet is a Lecturer in the Department of Communications and Electronics (Comelec) at Télécom Paris, affiliated with the Communication Circuits and Systems (C2S) research team and the Information Processing and Communication Laboratory (LTCI). He holds a PhD from Mines-Télécom Atlantique (2017) where his dissertation focused on parsimonious processing of biological signals. Research Focus Dr. Chollet's research specializes in ultra-low-power hardware design for biomedical applications, with particular expertise in: Analog-to-feature conversion for efficient biological signal processing CMOS implementation of neural networks and classification systems Power-optimized circuit design for wearable healthcare sensors Reconfigurable hardware architectures for flexible signal acquisition Energy-efficient algorithms for wireless body area networks Publication Analysis His 14 recent publications (2016-2024) demonstrate consistent focus on low-power hardware solutions for biomedical applications. Earlier work (2016-2018) emphasized CMOS implementations of clique-based neural networks for energy-efficient classification. Recent publications (2020-2024) shifted toward reconfigurable analog-to-feature converters and optimization techniques for healthcare sensors, reflecting an evolution toward flexible, power-aware systems for physiological monitoring. Laboratory Affiliations Dr. Chollet conducts research through the Communication Circuits and Systems (C2S) team within the Information Processing and Communication Laboratory (LTCI), focusing on hardware-efficient signal processing architectures.

Nikolay Petkov Manchevمشاهده پروفایل

مدرس ارشد

• Internet of Things (IoT)
• Wireless Communication Systems
• Radio Coverage Planning
• +۳ مورد دیگر

Nikolay Petkov Manchev is a Senior Lecturer at the Department of Communication Equipment and Technologies, Technical University - Gabrovo . With expertise in wireless communication systems and IoT infrastructure, his research focuses on LoRaWAN network planning, radio coverage optimization, and smart city applications. Developed bicycle counting station (2022) and vending machine control systems (2021) Published extensively on LoRaWAN energy performance, signal propagation, and IoT communication protocols Active in international conferences like IEEE CIEES 2024 and Electronics (ET) 2022

• Wireless Sensor Networks
• Network Protocols
• Internet of Things (IoT)
• +۱۲ مورد دیگر

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)

Mustafa Berke Yeltenمشاهده پروفایل

دانشیار

• Analog Circuit Design
• Semiconductors
• MEMS and Microsystem Technologies
• +۳ مورد دیگر

Assoc. Prof. Dr. Mustafa Berke Yelten is an Associate Professor at the Electronics and Communication Engineering Department , Istanbul Technical University , specializing in Analog Circuit Design , Semiconductors , and MEMS Technologies . With a PhD from North Carolina State University (2008), he has held academic roles since 2015 and served as Deputy Head of Department (2020) and Vice Dean (2018-2020). His research focuses on Cryogenic Electronics , Integrated Circuit Reliability , and Biomedical Device Design , particularly for Wireless Capsule Endoscopy . He has developed Low-Noise Amplifiers , Power Amplifiers , and MEMS Actuators with applications in Space Electronics and Medical Imaging . Recent publications highlight his work on LSTM-Based Transistor Reliability , 3D-Printed Medical Actuators , and Machine Learning Applications in analog circuit modeling. His projects include TÜBİTAK and BAP -funded initiatives for Cryogenic Communication Systems and Optical Sensor Development . Scientific Awards ITU Academic Performance Award (2023) ITU Academic Performance Award (2022) Key Collaborations IEEE Senior Member (2003-present) Co-editor, IEEE Transactions on Device and Materials Reliability

Ciaran MacNameeمشاهده پروفایل

دانشیار

• Embedded Systems
• Real-time Systems
• Test Engineering
• +۴ مورد دیگر

Ciaran MacNamee serves as Associate Professor in the Department of Electronic and Computer Engineering within the Faculty of Science and Engineering at the University of Limerick, Ireland. His office is located in ER2-020 with primary contact via ciaran.macnamee@ul.ie. With 15 years of academic experience following 16 years in industry, he maintains active research and teaching roles in embedded systems and hardware design. His educational background includes: PhD (awarded 2008) M.Eng (awarded 1996) Graduate Diploma BE from University College Dublin (awarded 1978) MacNamee's research centers on embedded systems development with specialized expertise in real-time system verification, debugging methodologies, and test engineering. His work extends to System-on-Chip testing, low-power scan techniques, and hardware implementations for biomedical applications. Recent projects demonstrate significant crossover into Internet of Things applications for environmental monitoring and smart infrastructure, reflecting his adaptability to emerging technological domains while maintaining core hardware focus. His publication trends since 2016 reveal strategic expansion from traditional embedded systems into applied IoT solutions, with notable contributions in automotive safety verification (2016), environmental monitoring systems (2018), and biomedical hardware implementation (2021). This evolution demonstrates consistent application of core verification and testing expertise across diverse implementation domains while maintaining strong industry relevance. Professional recognition includes: Winter Award for Excellence in Teaching (2014) With extensive industrial background including senior design engineering roles at Ashling Microsystems, MacNamee bridges academic research with practical implementation. His grant-funded projects focus on real-time system verification, low-power testing methodologies, and IoT applications, often involving cross-departmental collaboration. Current advising activities emphasize embedded systems design and hardware verification principles. He contributes to the University of Limerick's research ecosystem through the Department of Electronic and Computer Engineering's embedded systems group, collaborating with computer science researchers and industry partners on hardware-software co-design projects. His work with the IEEE and interdisciplinary teams supports ongoing development of safety-critical system verification frameworks.