جست‌وجوی استاد و پژوهشگر

Stavros Toumpisمشاهده پروفایل

دانشیار

• Wireless Networks
• Delay-Tolerant Networks
• Sensor Networks
• +۷ مورد دیگر

Stavros Toumpis is an Associate Professor at the Department of Informatics, Athens University of Economics and Business (AUEB). He previously held positions as a Lecturer at the University of Cyprus (2005–2009) and Senior Researcher at Telecommunications Research Center Vienna (2003–2005). He earned his Diploma in Electrical and Computer Engineering from the National Technical University of Athens (1997) and M.S./Ph.D. degrees in Electrical Engineering and Mathematics from Stanford University (1999–2003). His research focuses on wireless networks, including capacity bounds, cross-layer design, routing protocols, and emerging technologies like delay-tolerant networks, vehicular networks, and sensor networks. He employs tools from probability and optimization theory. Notable projects include the MMLAB (Mobile and Multimedia Lab) and FogSpot, a framework for edge/fog computing pricing. His work spans theoretical and experimental studies, with contributions to network performance analysis, interference modeling, and protocol optimization. Recent research emphasizes delay-tolerant networks, network capacity estimation via digital twins, and hybrid IP-ICN architectures. Key Areas: Multihop wireless networks, DTNs, sensor networks, network economics. Labs/Teams: Member of the MMLAB at AUEB.

• Signal Processing
• Wireless Communications
• Biomedical Engineering
• +۳ مورد دیگر

Kimmo Juhani Kansanen is a Professor at the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU). He leads the Signal Processing research group and focuses on wireless communication systems, biomedical device security, and network optimization. His research spans applications in implantable medical devices, autonomous marine systems, and cognitive radio networks. He holds a civil engineering degree and a doctorate in electrical engineering from the University of Oulu, Finland. Kansanen's work explores the intersection of signal processing, wireless channel modeling, and information-theoretic security, particularly for next-generation technologies. Recent publications highlight his expertise in ultra-reliable wireless systems, security analysis for leadless pacemakers, and network optimization strategies. He collaborates extensively on projects involving in-body communications, millimeter-wave networks, and marine autonomous systems. His research demonstrates a strong emphasis on practical implementation and theoretical analysis of wireless systems.

Jeff Frolikمشاهده پروفایل

استاد

• Wireless Communications
• Sensor Networks
• Distributed Control Algorithms
• +۵ مورد دیگر

Jeff Frolik is a Professor in the Department of Electrical and Biomedical Engineering at the University of Vermont. He holds a Ph.D. in Electrical Engineering from the University of Michigan, an M.S. from the University of Southern California, and a B.S. from the University of South Alabama. His research focuses on wireless communications, sensor networks, and distributed control algorithms, with applications in environmental monitoring, energy systems, and infrastructure health. Frolik has authored over 150 peer-reviewed publications, secured 12 patents, and co-founded Packetized Energy, a cleantech startup acquired by EnergyHub in 2021. Education: Ph.D. in Electrical Engineering (Systems), University of Michigan, 1995 M.S. in Electrical Engineering, University of Southern California, 1988 B.S. in Electrical Engineering, University of South Alabama, 1986 Research Interests: Wireless communication systems in complex environments Harmonic transponders for passive sensing and channel characterization Packetized energy management for smart grids IoT networks and antenna diversity techniques Awards: IEEE Outstanding Teaching Award (2015) Green Mountain Section Faculty of the Year (2011) TTU Innovation and Creativity Awards (2002, 2000) Hughes Aircraft Fellowship (1991–1994) Professional Experience: Co-founder of Packetized Energy (cleantech startup) Research sabbaticals at UC Santa Barbara's SNARL and University of Oxford Fulbright Distinguished Chair at Czech Technical University (2017, 2022) Labs/Teams: Active in developing harmonic transponder technology, wireless sensor networks, and grid coordination systems.

• Computer Networks
• Cryptography
• Embedded Systems
• +۳ مورد دیگر

Fayez Gebali is a Professor in the Department of Informatics at the University of Bergen. His research focuses on secure communication systems, cryptographic hardware design, and embedded systems. He has contributed extensively to areas such as network security, signal processing, and wireless communication protocols. His work spans theoretical and applied domains, including hardware security for IoT devices, authentication protocols for vehicular networks, and radar signal processing. Key research interests include optimizing cryptographic algorithms for resource-constrained devices, analyzing hybrid communication networks (e.g., FSO/RF), and developing machine learning-based authentication systems for healthcare. He has collaborated with institutions like KAUST (via co-author Mohamed-Slim Alouini) and has published over 130 papers. His recent work emphasizes practical solutions for rural broadband access, satellite security, and combating misinformation in healthcare contexts. Notable contributions: PUFGuard authentication protocol, systolic array designs for modular multiplication, and secure multi-hop mobile communication frameworks. Focus areas: IoT security, radar waveform optimization, and low-power hardware implementations.

• Wireless Communications
• Artificial Intelligence for Communications
• Internet of Things (IoT)
• +۶ مورد دیگر

Dong In Kim is a prominent researcher in the field of wireless communications and artificial intelligence, with an extensive publication record spanning multiple decades. His research primarily focuses on the intersection of communications technology and AI, particularly in next-generation wireless networks. He has established significant collaborations with researchers across the globe, including Dusit Niyato (290 co-authored papers), Ping Wang, Jiawen Kang, and Hongyang Du. Active researcher with 639 publications documented in the DBLP database Regular contributor to top-tier IEEE journals and conferences Specializes in emerging areas of wireless communications and AI integration Kim's research interests center around wireless communications systems with a strong emphasis on artificial intelligence applications. His work spans several key areas including generative AI for wireless networks, semantic communications, reconfigurable intelligent surfaces, and integrated sensing and communication systems. He has been particularly active in exploring how generative AI models can enhance physical layer communications, security, and network optimization. His recent work shows a clear trajectory toward 6G technologies and the integration of large language models with wireless networking infrastructure. Analysis of Kim's recent publications reveals a strong focus on practical implementations of theoretical concepts, with many papers including experimental validation. His research demonstrates a progression from traditional wireless communications toward increasingly sophisticated AI-driven approaches, with particular emphasis on generative models and their applications in communications security, resource allocation, and network optimization. The interdisciplinary nature of his work bridges electrical engineering, computer science, and artificial intelligence. Throughout his career, Kim has maintained consistent productivity, with publication counts showing steady growth over time. The 2024-2025 period shows particularly high output (111 publications), indicating active research momentum. His work appears across multiple IEEE transactions including IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, and IEEE Internet of Things Journal, reflecting broad impact across communications disciplines.

Sangjin Hongمشاهده پروفایل

استاد

• Low-power VLSI Design
• Wireless Communication
• Digital Signal Processing
• +۲ مورد دیگر

Roles and Affiliations: Sangjin Hong is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University (SUNY). He holds a Ph.D. from the University of Michigan and has prior industry experience at Ford Aerospace, Samsung, and as a research fellow at the University of Michigan. Education: B.S. and M.S. in Electrical Engineering and Computer Science, University of California, Berkeley Ph.D. in Electrical Engineering and Computer Science, University of Michigan, Ann Arbor Research Interests: Focuses on low-power VLSI design for multimedia and wireless communication systems, SOC design methodology, digital signal processing architectures, and hardware-aware system modeling. His work integrates algorithmic innovation with hardware optimization for real-world applications like surveillance, healthcare, and network systems. Teaching: Teaches core courses such as Discrete Mathematics for Engineers (ESE 122) , Digital Signal Processing Architectures (ESE 375) , and System Specification and Modeling (ESE 356/501) . Courses emphasize hands-on projects and SystemC-based system design. Awards and Affiliations: Senior Member of IEEE Member of Eta Kappa Nu and Tau Beta Pi Honor Societies Key Research Themes: Recent articles highlight work in real-time biomedical imaging, machine learning for education, and multi-sensor collaboration in surveillance systems. His publications span over two decades, reflecting expertise in both theoretical and applied aspects of signal processing and system design.

• Parallel and distributed processing
• Massively parallel systems
• Computer architecture
• +۴ مورد دیگر

K. Wendy Tang is an Associate Professor and Associate Chair in the Department of Electrical and Computer Engineering at Stony Brook University, part of the College of Engineering and Applied Sciences. She also serves as Associate Provost for Online Education. Her research focuses on parallel and distributed processing, wireless sensor networks, graph theory applications, and computer architecture. Her work emphasizes scalable network topologies, consensus protocols, and ultrafast information distribution. Research Interests : Parallel and distributed systems, neural networks, communication networks, and applications of graph theory in network design. Notable contributions include Borel Cayley Graph-based topologies for multi-agent systems and energy-efficient routing protocols for wireless sensor networks. Publications : Her research spans over 30 years, with key contributions in network topology design, consensus algorithms, and sensor network protocols. Recent work focuses on expanding Cayley graph structures for multi-agent systems and optimizing communication efficiency in dense networks. Scientific Awards : Best Paper Award at IEEE International Conference on Performance, Computing, and Communications (1997). Advising & Grants : Supervised 9 PhD students, including current advisees Mahdin Mahboob and Divith A. Babu. Her research has been supported by grants exploring scalable network architectures and sensor systems. Labs/Teams : Involved in research laboratories developing advanced network topologies and wireless sensor applications, contributing to interdisciplinary projects in smart cities and healthcare monitoring systems.

Jerzy Konorskiمشاهده پروفایل

دانشیار

• Network Security
• Trust and Reputation Systems
• Wireless Networks
• +۳ مورد دیگر

Dr. Jerzy Konorski serves as an Associate Professor in the Department of Teleinformatics at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology. His research addresses critical security and reliability challenges in modern networked systems. His primary research domains include: Network Security Trust and Reputation Systems Wireless Networks Quality of Service (QoS) Management Blockchain Applications Multi-Agent Systems Recent publications (2020-2023) reveal a consistent focus on adversarial scenarios in distributed systems. Key themes encompass computational trust mechanisms under virtual anonymity, mitigation of traffic remapping and content poisoning attacks in wireless and information-centric networks, and game-theoretic defenses against QoS abuse. His work bridges theoretical modeling with practical algorithmic solutions for security vulnerabilities. As principal investigator for the OPUS-funded project Reputation and trust building in computer communication systems under virtual anonymity and blind service provider selection (2017-2020, agreement UMO-2016/21/B/ST6/03146), he led research on trust dynamics in service-oriented architectures where provider selection occurs without identity disclosure. This work established foundational models for closed-loop trustworthiness computation in anonymous multi-agent environments.

Javad Ghaderiمشاهده پروفایل

دانشیار

• Algorithms
• Optimization
• Stochastic Systems
• +۶ مورد دیگر

Javad Ghaderi is an Associate Professor in the Department of Electrical Engineering at Columbia University. He holds affiliations with the Data Science Institute and the Department of Computer Science. His research bridges algorithms, optimization, and machine learning to enhance the efficiency of communication networks, data centers, and AI systems. Ph.D., University of Illinois at Urbana-Champaign (2013) M.A.Sc., University of Waterloo (2008) B.Sc., University of Tehran (2006) Dr. Ghaderi's research focuses on network algorithms, control, and optimization, particularly for large-scale systems like wireless networks, data centers, and AI infrastructures. His group develops scalable algorithms for real-time data collection, communication, and processing, including medium access protocols for low-delay wireless networks and scheduling frameworks for machine learning acceleration in data centers. Recent publications highlight trends in edge-cloud collaboration , real-time packet scheduling for deadlines, urban sensing architectures , and robust decentralized learning . His work integrates theoretical rigor with practical applications in wireless networks , distributed AI , and smart city systems . Best Paper Awards: IEEE INFOCOM 2024/2020, ACM CoNEXT 2016 NSF CAREER (2017), CRII (2016) Mac Van Valkenburg Graduate Research Award (2013) Dr. Ghaderi has advised 6 graduate students since joining Columbia in 2014, including co-advised projects with Prof. Gil Zussman. His teaching spans courses like Computer Communication Networks and Reinforcement Learning in Information Systems , emphasizing mathematical foundations and algorithmic design.

Betty Liمشاهده پروفایل

استاد مدعو

• Biomaterials
• 3D Bioprinting
• Microphysiological Systems
• +۷ مورد دیگر

Dr. Betty Li is an Adjunct Professor in the Department of Systems and Computer Engineering at Carleton University and a researcher at the Human Health Therapeutics Research Center. She holds a Ph.D. in Biomedical Engineering from the University of Western Ontario (2018), with prior degrees from Western Ontario (Master of Engineering Science, 2013) and the University of Toronto (Bachelor of Applied Science in Nanoengineering, 2011). Her research focuses on developing microphysiological systems, such as organ-on-chip models, using stem cells, 3D bioprinting, and biomaterials to advance preclinical drug discovery. Key research areas include biomaterials, biomechanics, and microfluidic design. Her recent publications (2023–2025) emphasize 6G networks, non-terrestrial networks (NTN), and AI-driven solutions for wireless communication challenges. She explores topics like federated learning in NTN, hemispherical antenna arrays for HAPS, and energy-efficient satellite IoT systems. Her work bridges biomedical engineering and telecommunications, addressing challenges in both fields. No scientific awards are explicitly mentioned in the text. She advises no listed students but collaborates on projects involving robotic aerial base stations and spectral efficiency optimization. Her lab work integrates interdisciplinary approaches for in vitro tissue modeling and sustainable network architectures.

• Telecommunication Engineering
• Sensor Networks
• Wireless Communication
• +۳ مورد دیگر

Szabó Sándor is an academic affiliated with the Department of Network Systems and Services at the Budapest University of Technology and Economics (BME). His primary roles include research in telecommunications, sensor networks, and wireless communication systems. He has been active in the Department of Network Systems and Services since 2013 and is also associated with the University Research and Innovation Center ÓE EKIK since 2022. His research focuses on optimizing wireless sensor networks (WSN), energy efficiency in communication systems, and applying advanced technologies like computer vision and machine learning to agricultural challenges, such as livestock monitoring and poultry farming automation. He collaborates frequently with institutions like the University of Bologna and IEEE conferences. Notable contributions include studies on Bluetooth Low Energy networks, payload aggregation techniques, and edge/cloud architecture applicability in farming systems. His work emphasizes practical solutions for real-world problems in both telecommunications and agricultural technology.

Mostafa Kavehمشاهده پروفایل

استاد

• Statistical Signal Processing
• Wireless Communications
• Image Processing
• +۳ مورد دیگر

Mostafa Kaveh is a Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, College of Science and Engineering. His research spans statistical signal processing, wireless communications, image processing, and biomedical ultrasound imaging. He has held leadership roles including Department Head (1990-2005), Associate Dean for Research and Planning (2005-2018), and Dean of the College of Science and Engineering (2018-2022). His academic credentials include a B.S. and Ph.D. from Purdue University (1969, 1974) and an M.S. from UC Berkeley (1970). Kaveh’s research focuses on: Statistical signal processing for antenna arrays and mobile localization Wireless communication systems with multiple antennas and collaborative transmission Image restoration algorithms based on partial differential equations Medical image processing for tomography and reconstruction Signal processing applications in genomics and biotechnology Google Scholar publications highlight trends in array signal processing, direction-of-arrival estimation, wireless channel modeling, and medical imaging techniques. His work has influenced GRAPPA algorithms for MRI, space-time interference-canceling receivers, and genomic data analysis.

Wolfgang Königمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Large Deviations
• +۳ مورد دیگر

Wolfgang König is a full Professor of Probability Theory at the Institute of Mathematics, Faculty of Mathematics and Natural Sciences, Technische Universität Berlin, and leads the research group Stochastic Systems with Interaction at the Weierstraß Institute for Applied Analysis and Stochastics (WIAS Berlin). His research focuses on probability theory and its applications in statistical physics and telecommunications. Education 1984–1989: Diplom in Mathematik, Technische Universität Berlin 1994: Dr. Phil, Universität Zürich 2000: Habilitation, Technische Universität Berlin Research Interests Professor König's work spans: Stochastic processes and large deviations Parabolic Anderson model and random media Statistical mechanics of interacting particle systems Probabilistic methods in telecommunications Branching processes in random environments Publications His recent publications (2019–2025) explore large deviations in sparse networks, Bose gas physics, stochastic PDEs, and applications of probability in telecommunications. Works consistently demonstrate rigorous mathematical analysis of complex physical systems. Grants DFG Priority Programme 2265: Random Geometric Systems DFG Collaborative Research Center 1114: Scaling Cascades in Complex Systems DFG Research Unit 2402: Rough paths, stochastic partial differential equations Research Groups Leads the Stochastic Systems with Interaction group at WIAS Berlin and coordinates the IRTG 2544 Stochastic Analysis in Interaction graduate school.

• Signal Processing
• Information and Coding Theory
• Communication
• +۶ مورد دیگر

Assoc. Prof. Dr. Ferkan Yılmaz is an Associate Professor at Istanbul Technical University's Faculty of Electrical and Electronics Engineering, Department of Electronics and Communication Engineering. With a career spanning academia, telecommunications R&D, and forensic expertise, his work focuses on wireless communications, signal processing, and machine learning applications in network optimization. Education Doctorate: Electronic Engineering, Gebze Technical University (2002) MSc: Electronics and Communications Engineering, Istanbul Technical University (2000) BSc: Electronics and Communication Engineering, Yildiz Technical University (1993) His research explores advanced wireless technologies including 5G/6G networks, federated learning over fading channels, MIMO systems with reconfigurable intelligent surfaces, and LoRa applications in LEO satellite communications. Recent projects include a Java-powered 5G/6G simulation platform and RSSI-based indoor positioning systems. Key trends in his publications emphasize fading channel modeling , machine learning for communication systems , and next-generation wireless protocols . His work bridges theoretical analysis with practical implementations in telecommunications. Scientific Recognition Bronze Medal, Istanbul International Invention Fair (ISIF'21) for 'Positioning System' Patent Yılmaz holds active IEEE and IEEE Communications Society memberships, and has contributed to institutional accreditation (MÜDEK), international cooperation programs, and forensic computer science. His collaborations span Vodafone, TÜBİTAK, and leading universities like KAUST and Texas A&M at Qatar.

Adisak Sukulمشاهده پروفایل

عضو هیئت علمی

• Political Science
• Computer Science
• Network Coding
• +۶ مورد دیگر

Adisak Sukul is an Associate Teaching Professor at Iowa State University. His work bridges computer science and political science, focusing on computational methods in social media analysis, mobile technology applications for institutional repositories, and network coding in telecommunications. He holds a primary appointment in an unspecified department at Iowa State University and can be reached at adisak@iastate.edu or via phone at 515-294-8933. His office is located at 130 Atanasoff, 2434 Osborn Dr., Ames, IA 50011-1090. Research interests include automated content analysis of political media (e.g., video ads), development of open-access mobile library platforms, and optimization of wireless communication networks. He has pioneered projects like the ContentMove e-library system and contributed to Thailand's parliamentary repository mobile access solutions. His publications reflect a dual focus on technical innovations (e.g., network coding for IEEE standards) and political science methodologies. Recent work emphasizes quantitative evaluation of deep learning models and social media's role in legislative communication. Earlier contributions include adaptive algorithms for road networks and mobile DRM systems for digital repositories. No academic awards or grants are listed in the provided information. He has not reported any advisee students in the dataset provided.