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Anindya Bijoy DasView profile

Assistant Professor

• Federated Learning
• Artificial Intelligence
• Machine Learning
• +5 more

Dr. Anindya Bijoy Das is a tenure-track Assistant Professor in the Electrical and Computer Engineering department at The University of Akron's College of Engineering and Polymer Science, where he teaches courses including Wireless Communications (Spring 2025) and Digital Communication (Fall 2024). Prior to joining Akron in August 2024, he served as a Postdoctoral Researcher at Purdue University (2022-2024) following completion of his Ph.D. at Iowa State University in 2022, where he received the prestigious Karas Award for outstanding dissertation work. His educational background includes: Ph.D. in Electrical Engineering, Iowa State University (2022) M.Eng. in Electrical Engineering, Iowa State University (2018) B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2014) Dr. Das's research focuses on cutting-edge areas at the intersection of machine learning, distributed systems, and communications. His primary interests include federated learning , AI/ML applications , distributed computation , information theory , and biomedical signal processing . Recent work explores the integration of large language models with traditional signal processing techniques, particularly for healthcare applications. His research bridges theoretical foundations with practical implementations, often addressing challenges in edge computing environments where computational resources are limited. The work demonstrates strong connections between theoretical information theory and practical system design. Analysis of his publication portfolio reveals an evolving research trajectory with increasing emphasis on federated learning architectures, privacy-preserving techniques, and the application of reinforcement learning to communication optimization. His work spans wireless communications, information theory, and healthcare applications, with a consistent focus on solving computational bottlenecks in distributed environments. The interdisciplinary nature of his research is evident in publications spanning IEEE Transactions on Information Theory, IEEE Journal on Selected Areas in Communications, and IEEE Signal Processing Magazine. His notable achievements include: Karas Award for Outstanding Dissertation in Mathematical and Physical Sciences and Engineering (2022) Research Excellence Award from Iowa State University (2021) Teaching Excellence Award from Iowa State University (2020) National Champion in Bangladesh Mathematical Olympiad (2008) Multiple Best Paper Awards at international conferences Dr. Das currently leads a research group focused on three main thrusts: improving federated learning algorithms, enhancing distributed computation schemes, and developing novel AI/ML applications. He has secured a $73,000 grant from Autonomous and Connected Systems of Purdue Engineering Initiatives for research on AI tensor computations in edge networks. Actively seeking 1-2 highly motivated PhD students, he emphasizes practical implementation alongside theoretical advances, with applications spanning healthcare, wireless communications, and edge computing environments. His service as a reviewer for top-tier journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Wireless Communications further demonstrates his standing in the research community.

• Wireless sensor networks
• Next generation computer networks
• Wireless mesh networks
• +5 more

Professor Cormac Sreenan is a full professor in the School of Computer Science and Information Technology at University College Cork (UCC), where he has been a faculty member since 1999. He served as Head of School from 2019-2021 and previously as Head of Department during 2015-2018 and 2000-2004. Prior to joining UCC, he conducted research at AT&T Labs and Bell Labs in New Jersey, USA. Ph.D. from University of Cambridge Computer Laboratory Member of Christ's College, Cambridge Academic lineage traces to computing pioneer Maurice Wilkes Professor Sreenan leads the Mobile & Internet Systems Lab (MISL), focusing on mobile and multimedia networking. His research spans wireless sensor networks, next generation computer networks, wireless mesh networks, and multimedia networking & systems, with specialist expertise in adaptive video streaming. With over 200 peer-reviewed publications and 9 patents, his work bridges theoretical research with practical applications in industry. His recent publications (2024-2025) demonstrate continued innovation in 5G networks, time-sensitive networking, and machine learning applications for network optimization. These works address critical challenges in industrial IoT, smart factories, and next-generation communication systems. Fellow of the British Computer Society (2005) Fellow of the Irish Academy of Engineering (2022) 9 granted patents Professor Sreenan has advised over 30 PhD and postdoctoral researchers through his lab, with significant industry impact through technology transfer, collaboration with Irish companies, and licensing of research outputs. He has served as an expert witness in telecoms, mobile networks, and IoT, and has extensive experience as an External Examiner for degree programs at leading international institutions. The Mobile & Internet Systems Lab under Professor Sreenan's leadership has developed innovative solutions for emergency response networks, adaptive video streaming, and IoT applications, with funding from Science Foundation Ireland, Enterprise Ireland, Horizon 2020, and other agencies. The lab's research has substantial real-world applications in smart cities, industrial automation, and next-generation communication systems.

• Cloud Computing
• 5G Networks
• O-RAN Architecture
• +3 more

Sofia Montebugnoli is a PhD student and educational tutor at the Department of Computer Science and Engineering, University of Bologna. She is currently a visiting student at Northeastern University in Boston, MA, USA, focusing on cloud computing technologies applied to O-RAN architecture for 5G networks under the supervision of Prof. Paolo Bellavista and Prof. Luca Foschini. Education: Master's in Computer Engineering, 2022 (University of Bologna). Research Interests: Sofia's work explores the integration of cloud computing with next-generation 5G networks, particularly through O-RAN (Open Radio Access Network) architecture. This research has implications for scalable telecommunications infrastructure, network virtualization, and edge computing, aligning with trends in 5G deployment and software-defined networking. Teaching: She serves as a tutor for the Distributed Systems M course (code 73025), providing educational support to students. Collaborations: Sofia's current visit at Northeastern University highlights international academic collaboration in her research field.

Sunish Kumar Orappanpara SomanView profile

Lecturer

• Optical Communications
• Wireless Communications
• Digital Signal Processing
• +5 more

Dr. Sunish Kumar Orappanpara Soman serves as a Lecturer in Electronics and Software Engineering at Ulster University's School of Engineering, Belfast campus. He concurrently holds adjunct appointments as Professor at Memorial University of Newfoundland's Department of Electrical and Computer Engineering and as International Faculty at Ulster College, Shaanxi University of Science and Technology in China. His academic background includes: B.Tech in Electronics and Communications Engineering from Cochin University of Science and Technology (2005) M.B.A. in Human Resource Management and Finance from Kerala University (2010) M.Tech in Optoelectronics and Communication Systems from Cochin University of Science and Technology (2013) Ph.D. in Computer Engineering from Memorial University of Newfoundland (2020) Dr. Soman's research focuses on the intersection of digital signal processing and machine learning within wireless and optical communications engineering. His work addresses critical challenges in fiber-optic nonlinearity compensation, signal-to-noise ratio estimation, and secure backscatter communication networks. Current projects explore 6G-enabled integrated sensing for climate monitoring and geothermal resource management, demonstrating practical applications of next-generation communication technologies. His recent publications reveal a strong emphasis on neural network applications for optical communication systems, with significant contributions to perturbation theory-based nonlinearity compensation techniques. The research portfolio spans from fundamental signal processing algorithms to experimental implementations of hybrid fiber-wireless systems for 5G/6G networks. Scientific recognition includes: Babasaheb Dr. Ambedkar Fellowship National Award (2011) Hira-Kamal Ahuja International Graduate Fellowship (2015) Fellow of the School of Graduate Studies Award (2020) As an active researcher, Dr. Soman serves as reviewer for IEEE/OPTICA Journal of Lightwave Technology and other leading publications, while holding editorial roles including Associate Editor for IEEE Open Journal of the Communications Society. His current research includes a Royal Society Partnership Grant (BTC) and participation in multi-user vector network analysis facility development. Dr. Soman's work contributes significantly to UN Sustainable Development Goals through advanced communication technologies for environmental monitoring and resource management.

Richard PentyView profile

Professor

• Photonics
• Photonic Integrated Circuits
• Optical Communications
• +6 more

Professor Richard Penty serves as Deputy Vice Chancellor and Deputy Head of the School of Technology at the University of Cambridge, holding a Professorship in Photonics within the Department of Engineering. He concurrently serves as Master of Sidney Sussex College, a position he assumed in 2013 after previously acting as Graduate Tutor and Vice Master. His academic foundation was built at the University of Cambridge, where he earned his Engineering and Electrical Sciences degree in 1986 followed by a PhD in nonlinear optical fibre devices in 1990. His career path includes lecturing positions at the University of Bath (1990) and University of Bristol (1996), where he was promoted to Reader and Professor of Photonics before returning to Cambridge in 2001. Penty's research spans photonic integration, optical data communications, MMF systems, high-speed optical networks, wavelength conversion, WDM, optical amplifiers, RFID-based sensing, RF over fibre, and semiconductor lasers. His work bridges fundamental photonics with applications in quantum technologies, optical wireless, and integrated circuits, emphasizing practical implementations for next-generation communication systems. Analysis of his 2023-2025 publications reveals dominant themes in photonic integrated circuits for optical switching (particularly ultra-low-crosstalk silicon switches), quantum key distribution advancements, optical wireless for 5G/6G networks, and photonic neural networks. His recent work demonstrates strong industry-academia translation through optical fronthaul architectures, quantum network implementations, and AI-driven photonic computing. His scientific recognition includes: Fellow of the Royal Academy of Engineering (2012) Fellow of the Institution of Engineering and Technology (2012) As Research Director of the Centre for Doctoral Training in Connected Electronics and Photonic Systems and head of the Centre for Photonics Systems, Penty oversees substantial research funding and doctoral training. His entrepreneurial impact is evidenced through founding Zinwave, PervasID, and EComm, translating research into commercial wireless and RFID solutions. He leads the Photonics and Quantum Technology Theme within Engineering, driving research in photonic integration, quantum communications, and optical wireless systems through interdisciplinary collaboration across Cambridge's engineering and physical sciences divisions.

Juan Luis Herrera GonzalezView profile

Researcher

• Computing Continuum
• Microservice Orchestration
• Network Management
• +7 more

Juan Luis Herrera Gonzalez is a Postdoctoral Researcher at the Distributed Systems Group within the Faculty of Informatics at Technische Universität Wien (TU Wien) . Previously affiliated with the University of Extremadura, University of Pisa, and University of Bologna, his research focuses on Computing Continuum systems, microservice orchestration, network optimization, and sustainability in distributed environments. PhD in Computer Science (University of Extremadura, 2023) Collaborator with 8 universities across 4 countries 50+ publications with 270+ citations His work addresses Quality of Service (QoS), economic cost reduction, and sustainability in domains such as IoT, 5G networks, and Digital Twins. Recent publications emphasize machine learning-driven SDN optimization, federated learning applications, and energy-efficient fog computing. He contributes to frameworks for adaptive analytics, xApp development, and latency minimization in hybrid infrastructures. His research portfolio spans from theoretical models using Mixed-Integer Linear Programming to practical implementations in testbeds for O-RAN and SDN-fog scenarios. Current projects include the Marie Skłodowska-Curie Actions fellowship, focusing on real-world deployments and developer-centric tools like EFCC (Emulation Framework for Cloud Continuum) and xSTART (xApp Simulation Environment).

Michael LangbergView profile

Professor

• Information Theory
• Coding Theory
• Network Communication
• +6 more

Michael Langberg is a Professor in the Department of Electrical Engineering at the University at Buffalo's School of Engineering and Applied Sciences. His research centers on the mathematical foundations of information, focusing on algorithmic and combinatorial challenges in communication, data representation, and storage systems. Langberg's research spans information theory, coding theory, network communication, and network coding, with significant contributions to 'Big Data' representation via geometric clustering and probabilistic methods in combinatorics. His work addresses fundamental problems in point-to-point communication, network reliability, and succinct data structures, emphasizing theoretical rigor while maintaining practical relevance for modern communication systems. Key themes include adversarial channel modeling, secure network coding, and energy-efficient communication protocols. His recent publications (2023-2025) reveal a strong trajectory in adversarial channel theory, secure network coding, and privacy-preserving data analysis. Langberg consistently bridges theoretical information theory with combinatorial optimization, particularly in characterizing capacity limits under adversarial constraints, developing computationally efficient coding schemes, and exploring differential privacy applications in group testing. His work demonstrates increasing interdisciplinary reach, connecting traditional information theory with machine learning systems like federated learning over O-RAN architectures. Scientific Awards: IEEE Fellow Langberg teaches core electrical engineering courses including EE 178 (Digital Principles), EE 439/539 (Information Theory and Coding), and EE 531 (Probability and Stochastic Processes), with consistent offerings through Spring 2026. While the provided text lacks specifics on research grants or student advising beyond course instruction, his extensive publication record indicates active leadership in theoretical communications research. No laboratory or research team affiliations are explicitly mentioned in the source material.

Wenjing LouView profile

Professor

• Cybersecurity
• Wireless Networks
• Cyber-Physical Systems Security
• +7 more

Wenjing Lou is the W.C. English Endowed Professor in the Department of Computer Science at Virginia Tech. Her research focuses on cybersecurity, wireless networks, cyber-physical systems, adversarial machine learning, and applied cryptography. She holds a Ph.D. in electrical and computer engineering from the University of Florida. Her work bridges theoretical advancements with practical implementations in areas such as federated learning security, 5G/6G communication protocols, and AI-driven intrusion detection systems. Education: Ph.D., Electrical and Computer Engineering, University of Florida. Research interests emphasize securing emerging technologies like IoT, vehicular networks, and satellite communications. Notable contributions include frameworks for age-of-information optimization (e.g., Eywa), resilient federated learning protocols, and spectrum management solutions for CBRS bands. Her publications address challenges in interference mitigation, real-time scheduling, and adversarial attack detection. Her work often integrates machine learning with traditional communication theory, yielding innovations such as geometric feature learning for IDS improvement and secure pairing mechanisms for wireless devices. Current trends in her research involve enhancing privacy in edge computing and developing blockchain-based spectrum sharing systems.

Rajeev GangulaView profile

Academic

• Signal Processing
• Wireless Communications
• Software-Defined Radio
• +3 more

Rajeev Gangula is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on signal processing, physical layer protocol design, and prototyping with software-defined radios and connected robotics systems. Education background includes a PhD in Mobile Communications from Télécom ParisTech (EURECOM, 2015), MSc in Mobile Communications from Télécom ParisTech (EURECOM, 2012), and Master of Technology in Signal Processing from Indian Institute of Technology Guwahati (2010). Research interests span wireless communication systems, UAV-aided networking, 5G/6G technologies, and real-time prototyping. Current work explores AI-enabled open RAN control, bistatic sensing in 5G NR, and UAV-assisted localization using hybrid radio models. Recent publications demonstrate strong focus on O-RAN implementation, spectrum sharing techniques, and advanced positioning methodologies using OpenAirInterface platforms.

Bernard HuntView profile

Researcher

• Mobile Communications
• 5G/6G Networks
• Wireless Communication Systems
• +4 more

Bernard Hunt is the Programme Manager of the 5G Innovation Centre (5GIC) at the University of Surrey's Institute for Communication Systems. He holds over three decades of industrial and academic experience in mobile communication systems, standardization (ETSI/3GPP), and research contributions to 3G/4G/5G technologies. As a key contributor to global standardization bodies like ITU and the Wireless World Research Forum, he co-founded the WINNER project, influencing 4G's core technical framework. His research focuses on interference coordination (ICIC), IoT systems, and O-RAN automation. With over 30 patents filed, he bridges academic research with industry through collaborative projects. He leads 5GIC’s industrial partnerships, ensuring research impacts real-world 5G/6G systems. Notable contributions include pioneering the IoT International Forum and advancing machine learning-driven network automation in O-RAN architectures. His work emphasizes holistic solutions over isolated technologies. He has no listed academic awards but is recognized for technical innovations in wireless systems. His advisory role extends to guiding interdisciplinary research teams and fostering industry-academia collaboration.

• Wireless Sensor Networks
• Internet of Things (IoT)
• 6G Communication Systems
• +3 more

Yannick Le Moullec is a researcher affiliated with Tallinn University of Technology, specializing in wireless communication technologies, Internet of Things (IoT), and 6G network optimization. His work focuses on energy-efficient systems, device-to-device communication, UAV swarms, and hybrid machine learning models for microfluidic imaging. He has contributed to NB-IoT, RIS-based communication, and federated learning frameworks. Education : Not explicitly mentioned Research Trends : His recent publications emphasize 6G networks, device-to-device discovery, UAV coordination, and edge computing. He explores synergies between reinforcement learning and stochastic resource allocation. Grant Activity : No specific grants listed Labs & Collaborations : Collaborates with teams across Estonia, France, and international institutions on IoT and embedded systems, particularly in healthcare and emergency communication contexts.

• Wireless Communication Systems
• Distributed Machine Learning
• Edge Computing
• +5 more

Falko Dressler is a full professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin (TU Berlin). He holds a M.Sc. and Ph.D. from the University of Erlangen's Department of Computer Science (1998 and 2003). His roles include associate editor-in-chief for IEEE Trans. on Network Science and Engineering and IEEE Trans. on Mobile Computing , as well as chairing conferences like IEEE INFOCOM and ACM MobiSys. He was an IEEE and ACM Distinguished Lecturer, and authored influential textbooks such as Self-Organization in Sensor and Actor Networks and Vehicular Networking . Education: M.Sc. (1998), Ph.D. (2003) in Computer Science, University of Erlangen Professional Activities: Editorial roles across 8+ journals, conference leadership (e.g., IEEE GLOBECOM), academic fellowships (IEEE, ACM, AAIA) Research Interests: Focus on resilient wireless communication systems integrating distributed machine learning and edge computing. Key domains include IoT, cyber-physical systems, and bio-nano networks. His work bridges theoretical advances with practical applications in vehicular networks, 5G/6G systems, and tactile Internet. Publications: Over 300+ peer-reviewed papers spanning topics like multiband channel analysis, federated learning at edge networks, and O-RAN architecture. Recent work emphasizes 6G innovations, metaverse convergence, and explainable AI for network security. Awards: IEEE Fellow (2014), ACM Fellow (2019), AAIA Fellow (2022), German National Academy of Science member (acatech) Grants/Teams: Leads TKN (Telecommunication Networks) lab, co-organizing IEEE INFOCOM 2026. Supervised over 50 PhD students, many in vehicular/edge computing domains. Labs/Teams: Directs TU Berlin's Telecommunication Networks (TKN) group, collaborating internationally on projects like ReNeSys 2025 and IEEE MedComNet. Active in standardization efforts for Open RAN and vehicular VLC.

Yi ChuView profile

Research Fellow

• Wireless Sensor Networks
• Reinforcement Learning
• Communication Technologies
• +5 more

Dr. Yi Chu is a Research Fellow in the Department of Electronic Engineering at the University of York. He holds a BSc from China Agriculture University (2008) and a PhD from the University of York (2010). His research focuses on Communication Technologies, specializing in Wireless Sensor Networks, Reinforcement Learning, and 5G/Cell-Free MIMO systems. He is actively involved in EPSRC projects like NetCodMod5G and leads collaborative initiatives in aerial neutral host networks and quantum key distribution. Education: BSc, China Agriculture University (2008) MSc & PhD, University of York (2010) Research Interests: Wireless Sensor Networks Reinforcement Learning Applications 5G/6G Network Technologies Cell-Free MIMO Architectures Quantum Key Distribution Recent Work: Developed O-RAN-based testbeds for cell-free MIMO systems Advanced channel estimation using graph neural networks Investigated power consumption in Open RAN digital twins Grants & Projects: EPSRC REACH: Distributed Beamforming Antenna Testbed RIC Enabled (CF-)mMIMO for HDD (2023-2025) KTP with AEMT Ltd (2022-2024) Labs/Teams: Part of the EPSRC-funded NetCodMod5G project team Collaborates with industry partners on aerial telecom infrastructure

Alexandros KostopoulosView profile

Researcher

• Network Economics
• Internet Architectures
• Mobile and Wireless Networks
• +3 more

Alexandros Kostopoulos is a Researcher at the Athens University of Economics and Business (AUEB), Department of Informatics. He holds a Ph.D. in Information Systems from AUEB (2009-2013), focusing on Economic Mechanisms for Future Internet Technologies. His professional roles include Research Engineer at Hellenic Telecommunications Organization (OTE), Post-Doctoral Researcher at FORTH-ICS, and Network and Systems Engineer at the Hellenic Army. His work spans multiple institutions including OTE Group and FORTH-ICS. Education details: Ph.D. in Information Systems (AUEB, 2009-2013) M.Sc. in Informatics (University of Piraeus, 2007-2009) M.Sc. in Management and Economics of Telecommunication Networks (National Kapodistrian University of Athens, 2005-2007) B.Sc. in Business Administration (University of Piraeus, 2001-2005) His research interests focus on Network Economics , Future Internet Architectures , and Telecom Market Dynamics . He explores economic incentives for protocol adoption, privacy mechanisms in information-centric networks, and cloud-based resource management strategies. His work integrates business models with technical advancements to address challenges in 5G/6G deployment and wireless network optimization. His recent publications emphasize 6G business frameworks, 5G network slicing, and AI-driven resource management. He has contributed to projects like 5G-ESSENCE, SESAME, and COHERENT, advancing edge services and telecom infrastructure innovation. Scientific Awards: None explicitly listed. Key contributions include: Developed frameworks for evaluating 6G architectures' economic viability Designed privacy-preserving solutions using homomorphic encryption Explored energy-aware pricing models in cloud environments He collaborates with institutions like OTE, FORTH-ICS, and the European Commission on projects like WISEGRID (Smart Grids), PRIVACY FLAG (IoT privacy), and CREDENTIAL (Cloud Identity).

Karen RaffertyView profile

Professor

• Virtual Reality
• Mixed Reality
• Machine Intelligence
• +3 more

Professor Karen Rafferty is a prominent academic and Head of the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast. She holds the rank of Professor and specializes in Virtual Reality (VR), Mixed Reality (MR), and Multi-sensory Interaction technologies, with a focus on their applications in Health & Training and Industry & Automation. Her research emphasizes disruptive technological practices, leveraging software engineering, sensor fusion, and real-time systems. Prof. Rafferty has led or contributed to numerous national and EU-funded projects, including roles as Principal Investigator (PI) and Co-Investigator (CoI) in grants such as the ARISE project on steel erection robotics and the PWC Research and Development Centre. She is actively involved with professional bodies like the IET, serving as a registration interviewer and evaluator for EU research programs (H2020, FP7, FP6). Her awards include the Best Paper Award at the 33rd International Manufacturing Conference and recognition for contributions to Digital Enterprise Technology. She teaches Engineering Entrepreneurship and VR/AR technologies, emphasizing interdisciplinary innovation. Key research themes span AI-driven systems, blockchain for sustainable decision-making, and haptic feedback integration in immersive environments. Her work often bridges academia and industry, with practical applications in manufacturing automation and healthcare training.