جست‌وجوی استاد و پژوهشگر

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +۷ مورد دیگر

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.

Soo Wooi Kingمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Network Security
• Wireless Networks
• +۳ مورد دیگر

Soo Wooi King serves as a Senior Teaching Fellow at Monash University Malaysia's School of Information Technology, contributing to both academic instruction and research in information technology systems. His professional profile centers on practical applications of computational methods in security and network optimization. His research spans Machine Learning, Network Security, Wireless Networks, and Natural Language Processing, with emphasis on implementing Naive Bayes classifiers for real-world problem solving. Key application areas include malware detection systems, news credibility assessment tools, and telecommunications network management solutions where algorithmic precision directly impacts operational reliability. Publication trends from 2017-2022 reveal consistent specialization in machine learning deployment across cybersecurity and networking domains. His highly cited 2018 survey on wireless load-balancing (18 Scopus citations) demonstrates significant field impact, while recent malware classification research shows evolving technical sophistication in feature engineering approaches. Work consistently bridges theoretical algorithms with industry-specific implementation challenges.

• Optical Networking
• Artificial Intelligence in Networking
• 5G and 6G Networks
• +۹ مورد دیگر

Davide Careglio is a Professor at the Department of Computer Architecture, Faculty of Computer Science of Barcelona (FIB), Universitat Politècnica de Catalunya (UPC). He is a principal researcher in the CBA - Broadband Communication Systems and Architectures group and the IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Group. Academic Rank: Professor Department: Department of Computer Architecture School: Faculty of Computer Science of Barcelona University: Universitat Politècnica de Catalunya Email: davide.careglio@upc.edu His research focuses on next-generation networking technologies, particularly in the domains of 5G/6G, AI-driven network automation, optical and elastic networks, energy efficiency, and the Recursive Internetwork Architecture (RINA). His work integrates machine learning and artificial intelligence to enhance network performance, security, and sustainability. He has made significant contributions to multicast routing, QoS assurance in RINA networks, and delay modeling in multidomain environments. The recent publications highlight a strong trend toward integrating AI and machine learning into network control, particularly for 6G services and secure distributed AI. His work spans modeling, simulation, and real-world experimentation, with applications in smart buildings, vehicular networks, and telecom infrastructure. Key themes include latency estimation, energy optimization, network programmability, and time-sensitive networking. Davide Careglio has been involved in prestigious EU-funded projects such as HORIZON 2020 and HORIZON EUROPE, including initiatives like ALLIANCE, SUNSET, and PRADIOT. He has also contributed to the Erasmus+ HEDY project, focusing on AI in education. He has advised PhD students, including D. Sembroiz, whose thesis focused on smart building IoT platforms. He actively collaborates with leading researchers such as Luis Velasco, Josep Solé-Pareta, and Salvatore Spadaro. He serves on the scientific committees of major conferences including IEEE GLOBECOM, IEEE ICC, and ICTON. He is a member of the CBA and IDEAI-UPC research groups at UPC, which are at the forefront of innovation in optical networking, AI for networks, and sustainable telecom infrastructures. These groups lead projects in programmable, knowledge-defined, and self-managed networks.

Bige Unluturkمشاهده پروفایل

استادیار

• Wireless Communication and Networking
• Molecular Communications
• Internet of Bio-NanoThings
• +۳ مورد دیگر

Bige Unluturk is an Assistant Professor in the Departments of Electrical and Computer Engineering and Biomedical Engineering at Michigan State University (MSU), with an affiliation at the Institute for Quantitative Health Science & Engineering. She holds a Ph.D. from Georgia Institute of Technology (2020), M.Sc. from Koç University (2013), and B.Sc. from Middle East Technical University (2011). Her research focuses on molecular communication, the Internet of Bio-NanoThings, and their applications in healthcare, including projects like the ARPA-E-funded 'Strong and CO2-Consuming Living Wood' initiative. Education: Ph.D., Electrical & Computer Engineering, Georgia Tech (2020) M.Sc., Electrical & Computer Engineering, Koç University (2013) B.Sc., Electrical & Electronics Engineering, METU (2011) Research Interests: Biologically inspired communication systems Molecular communication networks in biological systems Healthcare applications of bio-nano sensors Wireless communication protocols for biomedical devices Awards: Recipient of NSF Student Travel Grants, Georgia Tech’s Researcher of the Year Award, and Outstanding Graduate Teaching Awards. She has also been recognized as a METU valedictorian and TUBITAK Fellow. Labs & Collaborations: Leads the Unluturk Lab at MSU, collaborating with Purdue University on bio-engineered materials. Previously worked as a postdoc in Dr. Chris Contag’s Lab at IQ and conducted research at Aalto University and the University of Oslo.

• Distributed Systems
• Embedded Systems
• Real-Time Systems
• +۳ مورد دیگر

Brian Nielsen is an Associate Professor at Aalborg University's Department of Computer Science, under The Technical Faculty of IT and Design. His research focuses on Distributed Systems, Embedded Systems, Real-Time Systems, Model Checking, IoT Networks, and Autonomous Vehicles. He has been actively involved in projects such as domOS (operating system for smart buildings), FED (Flexible Energy Denmark), and compositional verification of multicore avionics systems. His work emphasizes model-based validation, formal methods, and industrial applications, particularly in safety-critical systems. Recent research highlights include energy-efficient motion planning for autonomous vehicles, comparative analysis of network simulators, and sigfox-based IoT modeling. He has received awards including the Application Coordinator Pool and START funds (both in 2007). Key Projects: domOS, FED, compositional verification of multicore systems Grants: Multiple EU-funded projects (e.g., Horizon Europe) and industry collaborations Awards: Application Coordinator Pool (2007), START funds (2007) His publications span over 80 articles, with a focus on real-time systems, IoT interoperability, and model-driven development. He has advised two PhD students and has been actively involved in organizing international conferences and workshops.

• 5G/6G mobile networks
• Radio access networks
• Automation systems and autonomy
• +۱۹ مورد دیگر

Bruno Dzogovic is an Assistant Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, specifically within the Department of Computer Science. His research focuses on 5G/6G networks, cybersecurity, cloud computing, and software engineering. 5G/6G mobile networks Cloud computing and virtualization Cyber defense systems Wireless communication Industrial networks Biomedical Wireless Sensor Networks His recent work explores secure network slicing, container technologies, and applications of 5G in healthcare and elderly care systems. He is an active member of the Autonomous Systems and Networks (ASN) research group, contributing to advancements in digital forensics and vulnerability assessment for modern communication systems.

Cresantus Biambaمشاهده پروفایل

مدرس ارشد

• Educational Science
• Teacher Education
• Education for Sustainable Development
• +۳ مورد دیگر

Cresantus Biamba is a Senior Lecturer at the University of Gävle, specializing in Educational Science. His research bridges education theory with technological advancements, focusing on teacher training, sustainability in education, and inclusive pedagogy. Researcher at University of Gävle (Education, Educational Science) Research interests include: Education for Sustainable Development (ESD) in global contexts Teacher education reform and policy analysis Inclusive classroom practices in the Global South Technological integration in educational systems Curriculum development for post-pandemic resilience Publication trends reveal interdisciplinary work combining AI, cloud computing, and IoT applications with educational challenges, particularly in African institutions. His articles address security optimization, healthcare technology, and sustainability frameworks. Academic activities involve collaborations with researchers in cybersecurity, AI, and energy systems, though specific grants or mentoring roles are not explicitly documented here.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

James Morizioمشاهده پروفایل

استاد مدعو

• Analog CMOS Microelectronics
• Neural Interfaces
• Acoustofluidics
• +۴ مورد دیگر

James Morizio serves as an Adjunct Professor in the Department of Electrical and Computer Engineering at Duke University, leveraging 35+ years of expertise in analog CMOS microelectronics for biomedical applications. His research bridges electrical engineering with neuroscience through disruptive sensor interface technologies for neural recording/stimulation and ultrasonic microfluidics. His educational background includes a Ph.D. in Electrical Engineering from Duke University (1995) M.S. in Electrical Engineering from University of Colorado, Boulder (1984) B.S. in Electrical Engineering from Virginia Polytechnic Institute and State University (1982) Morizio's research focuses on developing high-performance neural interfaces and acoustofluidic systems. Key areas include wireless neural instrumentation for closed-loop electrophysiology, CMOS-based ultrasonic transducers for microfluidic manipulation, and low-power VLSI design for implantable devices. His work emphasizes translating microelectronics innovations into biomedical solutions for neuroscience and diagnostics. His publication portfolio demonstrates consistent contributions to neural engineering and microfluidics, with recent trends showing increased focus on acoustofluidic diagnostics (e.g., AIMDx chip) and osseointegrated neural interfaces for prosthetic control. The research spans fundamental circuit design to translational applications in cancer metabolism and neuroprosthetics. Scientific recognition includes 15-year service award from Triangle BioSystems International/Harvard Bioscience Inc. (2016) Current research is supported by major grants including Neuro-CROWN (ultra-flexible electrode arrays), digital acoustofluidic systems for biomedical automation, and osseointegrated neural interfaces for prosthetic control. His teaching portfolio spans advanced VLSI design and special topics courses, though specific advising roles are not documented. Collaborative work involves interdisciplinary teams in neuroscience and biomedical engineering, particularly through partnerships with Triangle BioSystems International and translational projects using ovine models for neural interface validation.

Lorenzo Vangelistaمشاهده پروفایل

دانشیار

• Internet of Things
• Low Power Wide Area Networks (LPWAN)
• LoRa
• +۷ مورد دیگر

Lorenzo Vangelista serves as Associate Professor of Telecommunications at the Department of Information Engineering, University of Padua, Italy, a position held since 2006. He teaches core courses including Internet of Things and Smart Cities, Telecommunications, and Project Management. His academic leadership includes chairing the Information Engineering Degree curriculum from 2010 to 2014. His research expertise spans Internet of Things , Smart Cities , 5G systems (with focus on machine-to-machine traffic), DVB systems , and OFDM-based communications . He is a pioneer in LoRa and LPWAN technologies, contributing to standardization bodies such as IEEE 802.11, 3GPP, ETSI, and the LoRa Alliance. His work integrates statistical signal processing , embedded systems design , and protocol development for next-generation wireless networks. With over 80 publications, his recent work explores LoRaWAN enhancements for satellite IoT, vehicular communications, and interstellar optical systems. Key innovations include golden modulation for massive IoT and machine learning applications for network optimization. His research bridges theoretical advances with real-world deployment, as seen in field tests for vehicle-to-roadside communication and underwater acoustic modems. Professor Vangelista has supervised nine PhD students (including a dual PhD with Supèlec, Paris) and numerous MSc theses. He led European projects PACIF and SWAP (a Marie Curie best practice) and regional initiatives. His entrepreneurial endeavors include founding Patavina Technologies (acquired by A2ASmartCity in 2017) and Wireless and More, developing IoT solutions like the LoRa Suite. He maintains strong industry ties with Nokia Bell Labs, RAI, and Wisycom, and collaborates with international research centers including CTTC. His standardization contributions notably include co-authoring foundational DVB-T2 papers and serving as ETSI Rapporteur for LPWAN-CSS.

Anirudha Sahooمشاهده پروفایل

دانشیار

• Computer Networks
• Wireless Networks
• Quality of Service (QoS)
• +۴ مورد دیگر

Anirudha Sahoo is an Associate Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay. His research focuses on computer networks, with emphasis on Quality of Service (QoS) in wireless networks, QoS-based routing, traffic engineering, voice routing, and wireless sensor networks.

Lixia Zhangمشاهده پروفایل

استاد

• Internet Architecture Design
• Network Protocol Design
• Named Data Networking (NDN)
• +۵ مورد دیگر

Lixia Zhang is a Professor at the Computer Science Department of University of California, Los Angeles (UCLA) . She leads the Internet Research Lab (IRL) and has been a key figure in the Named Data Networking (NDN) project since 2010, building on Van Jacobson's Content-Centric Networking (CCNx) vision. Education : PhD from MIT (TCP/IP research), advised by Dr. David Clark Experience : Xerox PARC (7 years), currently at UCLA since 1998 Labs : Director of Internet Research Lab (IRL) at UCLA Her research focuses on Internet architecture design , NDN protocol development , and network security . She has published extensively on topics like DDoS defense patterns , LEO satellite networking , and decentralization frameworks . Her work spans applications in mHealth data sharing , edge computing , and augmented reality . Recent publications show trends in NDN scalability , secure communication , and decentralized internet infrastructure , with 15 most recent articles covering LEO satellite networks , metaverse security , scientific data distribution , and stateful forwarding mechanisms . Scientific Awards : PAM 2010 Best Paper Award Best Poster Award at ACM ICN 2018 Grants & Leadership : Recipient of Cisco Systems grant (2022) for satellite networking research, co-chair of IRTF Decentralized Internet Infrastructure Research Group (2021), and organizer of multiple NDN Community Meetings and Hackathons . Her lab has produced notable alumni including Mohit Lad (co-founder of ThousandEyes) and Lucas Wang .

Aleks Hučمشاهده پروفایل

استادیار

• Machine Learning
• Internet of Things (IoT)
• Computer Security
• +۳ مورد دیگر

Aleks Huč is an Assistant Professor at the Faculty of Computer and Information Science, University of Ljubljana. His research focuses on incremental unsupervised learning , particularly anomaly detection in network data streams using incremental clustering. He also explores applications in machine learning , Internet of Things (IoT) , computer security , and data modeling . Current Projects: ARRS research program P2-0359 (Ubiquitous Computing, 2023–2027), CA 22104 (Behavioral Next Generation Wireless Networks for Cybersecurity, 2023–2027). Past Projects: Bilateral project on sulfur compounds in food cold chain (2017–2018), ARRS P2-0359 (2018–2023), and his Young Researcher project (2015–2019). Huč teaches courses such as Digital Forensics , Programming 2 , and Communications Protocols and Network Security . He is a member of the Laboratory of e-media (LEM) . His recent publications highlight trends in edge-computing security , IoT network anomaly transparency , and agricultural sensor applications . These works span subfields like incremental clustering , network security , and precision agriculture . Huč earned his BSc (2012) , MSc (2015) , and PhD (2022) from the University of Ljubljana, focusing on sensor technology, RNA-protein interactions, and computer network security anomalies.

Wagner Ourique De Moraisمشاهده پروفایل

مدرس

• Ambient Assisted Living (AAL)
• Smart Home Systems
• Healthcare Technology
• +۳ مورد دیگر

Wagner Ourique De Morais is a Lecturer at the Academy of Information Technology , Halmstad University, with a focus on Smart Home Systems and Healthcare Technology for elderly populations. Doctoral Thesis : Architecting Smart Home Environments for Healthcare: A Database-Centric Approach (2015) Key Research Areas : Ambient Assisted Living (AAL), Graph Neural Networks for Clinical Prediction, IoT-Edge-Cloud Offloading, and Wearable Health Monitors His work spans 15+ years , including publications on Zero-Day Attack Detection in Vehicular Networks (2025), Graph Neural Networks for Clinical Risk Prediction (2024), and Smart Medication Organizers (2017). Research trends emphasize sensor integration , context-aware computing , and security in smart environments . He contributes to projects like the "Safe at Night" initiative and has developed middleware for heterogeneous sensor networks (2008). Current teaching and research at Halmstad University prioritize technology-enabled elderly care and cyber-physical system design .

Katharina O. E. Müllerمشاهده پروفایل

پژوهشگر

• Internet of Things
• Security & Privacy
• Localization

Katharina O. E. Müller is a researcher at the University of Zurich's Institute of Computer Science, affiliated with the Communication Systems Group (CSG). She joined the group in December 2021 to pursue her Doctoral Degree under the supervision of Prof. Dr. Burkhard Stiller. Her research focuses on the Internet of Things (IoT) with an emphasis on Security & Privacy in wireless protocols (UWB, BLE, ZigBee) and Localization techniques. She investigates vulnerabilities through penetration testing and develops frameworks for privacy preservation in emerging IoT technologies. Recent publications highlight her work on Privacy ontologies for Ultra-Wideband networks Integrated data tracking systems for IoT environments These studies address security challenges in protocol stacks and real-time data management.