جست‌وجوی استاد و پژوهشگر

Ruhai Wangمشاهده پروفایل

استاد

• Satellite Networks
• Delay-Tolerant Networks
• Space Communications
• +۳ مورد دیگر

Dr. Ruhai Wang is a Professor in the Phillip M. Drayer Department of Electrical and Computer Engineering at Lamar University. He holds a Ph.D. in Electrical/Computer Engineering from New Mexico State University and leads research in space communication networks. His office is located in the Cherry Building (Rm. 2205), and he can be contacted at rwang@lamar.edu or (409) 880-1829. Research Focus: Dr. Wang specializes in Delay-/Disruption-Tolerant Networks (DTN), satellite/space communications, cybersecurity, and wireless ad hoc networks. His work bridges theoretical modeling and practical implementations for space Internet systems, with ongoing projects focused on DTN protocol development for NASA collaborations. Publication Trends: His 15 most recent publications (2016-2020) primarily analyze protocol optimization for space communications, with emphases on Licklider Transmission Protocol (LTP), Bundle Protocol efficiency, deep-space channel modeling, and integrated terrestrial-satellite networks. Key themes include disruption resilience, transmission timing optimization, and network scalability under asymmetric conditions. Awards and Honors: Distinguished Lecturer, IEEE AESS (2025) Teaching Board Member, Ph.D. Program in STIET, University of Genova (2018-Present) Best Associate Editor, IEEE Aerospace & Electronics Systems Magazine (2015) Lamar University Presidential Faculty Fellowship (2015) IEEE ComSoc Best Tutorial Paper Nominee (2009) University Merit Award (2007) Advising and Projects: Currently mentoring doctoral candidates Alaa Sabbagh and Hacer Varol, and MSEE students Qinglin Xie and Arkun Zhuang. His primary project involves developing DTN protocols for space networks through a NASA/JPL-collaborated testbed. Grant-supported research focuses on reliable data delivery in deep-space environments. Professional Service: Senior IEEE member (AESS, ComSoc), Associate Editor for IEEE Transactions on Aerospace and Electronic Systems and IEEE Aerospace & Electronics Systems Magazine. Former TPC co-chair for IEEE ICC and organizer of international workshops on satellite communications.

Yusun Changمشاهده پروفایل

استاد

• Vehicular Ad Hoc Networks (VANETs)
• Wireless Mobile Networks
• Intelligent Transportation Systems
• +۴ مورد دیگر

Dr. Yusun Chang is Professor and Chair of the Robotics and Mechatronics Engineering department at Kennesaw State University, with a joint appointment as Adjunct Professor in Electrical and Computer Engineering at Georgia Tech. He directs the Vehicular Ad-hoc Networking (VANET) research laboratory, a collaborative initiative between both institutions established in 2010. Education Ph.D. Electrical and Computer Engineering, Georgia Institute of Technology (2007) M.S. Electrical Engineering, Columbia University (2002) M.S. Electrical Engineering, Korea Aerospace University (1995) B.S. Electrical Engineering, Korea Aerospace University (1993) Research Focus Dr. Chang's research encompasses wireless mobile networks with emphasis on protocol design and optimization for Wireless Multimedia Communications, Vehicular Ad Hoc Networks (VANETs), and Intelligent Transportation Systems (ITS). He pioneered the "Sustainable Mobile Networking" paradigm, leveraging intelligent communication technology to reduce traffic congestion, improve transportation safety, and support autonomous mobility solutions. His interdisciplinary work spans robotics, sustainable energy systems, and biomedical applications. Publication Trends Recent publications (2022-2025) demonstrate expanding research horizons into biologically inspired networking, context-aware systems, assistive robotics, and sustainable technology. Key innovations include modular robotic platforms, solar-powered underwater exploration vehicles, gesture-controlled exosuits, biomedical sensing systems, and programmable network architectures. The work consistently integrates machine learning with practical engineering solutions. Awards and Honors KSU Distinguished Professor Award (2021) - Highest faculty honor KSU Outstanding Research and Creative Activity Award (2020) Distinguished Scholarship Award from College (2020) Distinguished Professor Award from College (2021) Laboratory Leadership As director of the VANET research laboratory since 2010, Dr. Chang leads joint research between Kennesaw State University and Georgia Tech, focusing on vehicular networks, intelligent transportation, and mobile communication systems. The lab serves as a hub for interdisciplinary projects bridging networking, robotics, and biomedical applications.

• Artificial Intelligence
• Robotics
• Cyber-Physical Systems
• +۷ مورد دیگر

M. Ilhan Akbas is an Associate Professor in the Department of Electrical Engineering and Computer Science at Embry-Riddle Aeronautical University, where he conducts research in cyber-physical systems, autonomous vehicles, Internet of Things (IoT), and modeling and simulation. He earned his PhD in Computer Engineering from the University of Central Florida and has been actively involved in research funded by the National Science Foundation, Federal Aviation Administration, Office of Naval Research, Florida Center for Cybersecurity, and industry partners. His research focuses on the development and validation of intelligent and connected systems, particularly in transportation and defense domains. He has made significant contributions to the testing and simulation of autonomous vehicles, edge computing for IoT, and secure communications in vehicular networks. His work has been published in top-tier journals such as IEEE Transactions and SAE Edge Reports, and featured in media outlets including Spectrum Bay News 9 and Tampa Bay Business Journal. Dr. Akbas has served on editorial boards for MDPI Sensors and Electronics and on program committees for ACM and IEEE conferences. He previously served as a faculty member at Florida Polytechnic University (2016–2019), where he co-founded the Advanced Mobility Institute and contributed to curriculum development in software engineering and data science. He is a member of IEEE, ACM, and the Complex Systems Society. His recent publications demonstrate a strong trend toward intelligent mobility, autonomous systems, and secure, real-time cyber-physical architectures, with increasing emphasis on simulation, digital twins, and machine learning for transportation and defense applications. Editor, MDPI Journal of Sensors Editor, MDPI Journal of Electronics Member, IEEE Transactions on Aerospace and Electronic Systems Editorial Board Invited Speaker, São Paulo, Brazil (2018, 2019) Dr. Akbas has secured multiple competitive research grants from federal agencies and industry, supporting his work in autonomous systems and cybersecurity. He has advised student researchers and contributed to academic leadership through accreditation and curriculum development. He previously worked at the Institute for Simulation and Training at UCF and has industry experience in defense telecommunications, including multinational standardization efforts. He is actively involved in research labs and teams focused on intelligent mobility and cyber-physical systems, particularly through his leadership in the Advanced Mobility Institute at Florida Poly and ongoing projects at Embry-Riddle. His work bridges academic innovation with real-world applications in smart transportation and aerospace systems.

• Cybersecurity
• Privacy Preservation
• Risk Management
• +۱۴ مورد دیگر

Leandros Maglaras is a Professor in the School of Computer Science and Informatics at De Montfort University, where he conducts research in the Cyber Security Centre and Software Technology Research Laboratory. He holds a PhD from the University of Huddersfield and another from the University of Thessaly, and has served as Director of the National Cyber Security Authority of Greece (2017–2019), significantly advancing national cybersecurity preparedness. His research interests include Cybersecurity, Privacy Preservation, Risk Management, Intrusion Detection, Critical Infrastructure Protection, IoT, Blockchain, and Machine Learning . He is a Senior Member of IEEE and actively contributes to editorial boards of journals such as IEEE Access and Elsevier’s ARRAY. The analysis of his recent publications reveals a strong focus on cybersecurity in IoT and critical infrastructures , leveraging advanced techniques like federated learning, blockchain, and machine learning for intrusion detection and privacy preservation. His work spans smart agriculture, vehicular networks, healthcare, and industrial control systems, emphasizing real-world applicability and dataset development. Scientific Awards: Best Paper Award at DCOSS 2019 Maglaras has led numerous EU-funded research projects (e.g., CONCORDIA, COCKPITCI) and served on editorial boards. He has contributed to national policy, including drafting Greece’s Cyber Security Strategy and NIS Directive implementation. He mentors students and collaborates extensively, though specific advisee names are not listed. He is also involved in cyber peacekeeping initiatives and has co-edited books on cybersecurity of critical infrastructures. Labs and Research Groups: Cyber Security Centre (CSC), De Montfort University Software Technology Research Laboratory (STRL)

Sanoop Mallisseryمشاهده پروفایل

مدرس

• Cybersecurity
• Dependable Systems Security
• Data Privacy Preservation
• +۵ مورد دیگر

Sanoop Mallissery is a Lecturer at Monash University's Malaysia School of Information Technology. He holds a PhD in Computer Science (Dependable Systems Security) from National Yang Ming Chiao Tung University, Taiwan, and has over eight years of teaching and five years of industry experience in cybersecurity. His research focuses on software security, critical infrastructure protection, AI-driven threat detection, and privacy preservation. Education : PhD in Computer Science (2024) - National Yang Ming Chiao Tung University, Taiwan Master’s in Cyber Security (2010) - An Optimized Alert Correlation Engine for Enhanced Intrusion Detection Bachelor’s in Information Technology (2006) - University of Calicut Research Interests : His work spans dependable software security, cybersecurity for industrial control systems (ICS/OT), next-gen fuzzing for vulnerability detection, and AI-driven threat mitigation. He emphasizes privacy-preserving techniques in data lifecycle management and resilient software design. Collaborations & Experience : Threat Researcher at TXOne Networks (Taiwan) for ICS/OT security Cyber Security Engineer at ITRI (Taiwan) Research Fellow at ESIGELEC—IRSEEM (France) for vehicular network security Former Assistant Professor at Manipal Institute of Technology, India Grants & Labs : Currently integrating research into teaching at Monash Malaysia while exploring emerging cybersecurity challenges. Actively collaborates on UN SDG-related education and infrastructure security projects.

Michele Poleseمشاهده پروفایل

استادیار

• Open RAN
• 5G/6G Wireless Networks
• mmWave Networks
• +۳ مورد دیگر

Michele Polese is a Research Assistant Professor at the Institute for the Wireless Internet of Things (WIoT) and the Department of Electrical and Computer Engineering at Northeastern University in Boston. He holds a Ph.D. from the University of Padova (2020) and has conducted research visits at NYU, AT&T Labs, and Northeastern. His work focuses on 5G/6G wireless networks, O-RAN, mmWave/terahertz systems, spectrum sharing, and open-source networking. He leads projects funded by NTIA, O-RAN Alliance, NSF, and others. Education: Ph.D. in Information Engineering, University of Padova (2020) Visiting Researcher at NYU, AT&T Labs, and Northeastern University Research Interests: Polese specializes in Open RAN architectures , 6G wireless systems , and mmWave technologies . His work includes developing protocols for spectrum sharing between active/passive users, contributing to O-RAN technical specifications, and creating tools like Colosseum (a digital twin testbed). He also focuses on AI-driven network control and security for O-RAN systems. Key Projects: AutoRAN: Automated Open RAN Testing (CHIPS Act funding) Dynamically Adjustable Spectrum Sharing (NSF-funded) Open6G testing center and O-RAN Gym development Awards & Recognition: 2022 Mario Gerla Award for Research in Computer Science ISSNAF Young Investigator Award (2022) Best Paper Awards (CNSM 2024, VNC 2024) Labs & Teams: He leads the Wireless Networks and Embedded Systems Lab at Northeastern, focusing on experimental platforms like Colosseum and OpenRAN Gym. His team collaborates with industry partners on standards and testbeds.

Wei Xieمشاهده پروفایل

دانشیار

• Interpretable AI
• IoT
• Computer Simulation
• +۷ مورد دیگر

Wei Xie is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. His research focuses on interpretable AI, IoT, and data-driven stochastic optimization for complex systems in biopharmaceutical manufacturing, smart grids, and healthcare. He holds a PhD from Northwestern University (2014) and has received prestigious awards including the NSF CAREER Award (2025) and the INFORMS Simulation Society Outstanding Publication Award. His work bridges simulation, machine learning, and operations research to address real-world challenges in manufacturing, energy, and healthcare. Education: PhD in Industrial Engineering and Management Sciences from Northwestern University (2014). Research Interests: Interpretable AI and hybrid modeling for bioprocesses Blockchain for supply chain risk management Stochastic optimization in renewable energy systems Data integrity and big data analytics Notable Projects: Principal Investigator for NSF-funded research on mechanism-informed AI for biomanufacturing, and NIIMBL grants on mRNA vaccine potency assessment and stem cell culture monitoring. Awards: 2025 NSF CAREER Award 2023 Constantinos Mavroidis Award INFORMS Simulation Society Award (2023) Advising & Grants: Supervised PhD students in areas like stochastic simulation and biomanufacturing. Secured over $800K in federal and industry grants since 2018. Labs/Teams: Active contributor to Northeastern's Institute for Experiential AI and National Institute for Innovation in Manufacturing Biopharmaceuticals (NIIMBL).

Liangmin Wangمشاهده پروفایل

استاد

• Cybersecurity
• Smart Contract Vulnerability Detection
• Internet of Things Security
• +۳ مورد دیگر

Liangmin Wang is a Professor at the School of Cyber Science and Engineering, Southeast University, Nanjing, China. His research spans cybersecurity, smart contract vulnerability detection, internet of things security, data deduplication, and blockchain technology. He actively contributes to advancements in secure computation, privacy preservation, and network threat analysis. Current affiliation: Southeast University Research focus: Cybersecurity, blockchain, IoT security, federated learning, and malware detection His recent publications demonstrate expertise in applying machine learning and cryptographic methods to security challenges in blockchain systems, fog-assisted cloud storage, and vehicular networks. He collaborates extensively with researchers like Xiaoyu Zhang, Xia Feng, and Wenjin Wang.

Bartolomeo Montrucchioمشاهده پروفایل

استاد

• Computer Vision
• Quantum Computing
• Image Processing
• +۵ مورد دیگر

Bartolomeo Montrucchio is a Full Professor of Information Processing Systems (ING-INF/05) at the Department of Control and Computer Engineering (DAUIN) of the Polytechnic University of Turin. He is a member of the Interdepartmental Center Photonext - PoliTo Interdepartmental Center on Applied Photonics and serves as deputy director at the Interuniversity Center of Regional Interest for the Training of Secondary School Teachers (CIFIS) since July 2012. Additionally, he has held an adjunct professor position at the University of Illinois at Chicago during July 2008. Professor Montrucchio's research spans several cutting-edge areas with a primary focus on quantum computing, computer vision, and sensor networks. His work encompasses image processing, scientific visualization, parallel and distributed systems, and wireless sensor networks. He actively contributes to European research initiatives including the EQUO (European QUantum ecOsystems) project as Scientific Responsible. His research bridges theoretical computer science with practical applications across multiple industries. His publication record shows a strong trajectory toward quantum technologies, with numerous recent publications focusing on quantum machine learning, quantum algorithms for financial applications, and quantum applications in cybersecurity. His work demonstrates increasing emphasis on practical implementations of quantum computing in real-world scenarios, particularly in industrial settings and telecommunications. Best student paper award at BIOSIGNAL2002, conferred by EURASIP, Italy (2002) Associate Editor of IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2019-present) Professor Montrucchio actively supervises numerous PhD students working on quantum computing applications across various domains including finance, cybersecurity, traffic optimization, and industrial use cases. His teaching portfolio includes courses on Quantum Computing, Parallel and Distributed Computing, and Image Processing and Computer Vision across multiple degree programs including Computer Engineering, Biomedical Engineering, and Quantum Engineering. He leads multiple research projects funded by both competitive calls and commercial contracts, with a significant focus on quantum technologies since 2019. His patent portfolio includes several inventions related to tire manufacturing processes and visual rehabilitation for telemedicine.

Constandinos Mavromoustakisمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Mobile and Wearable Computing
• Wireless Communications
• +۳ مورد دیگر

Constandinos Mavromoustakis is a Professor at the Department of Computer Science, University of Nicosia (School of Sciences and Engineering). He leads the Mobile Systems Lab (MOSys Lab) and holds leadership roles in IEEE, including Vice-Chair of the Cyprus Section and Chair of the Computer Society Chapter. He actively contributes to IEEE Communications Society committees and standardization groups like IEEE-SA SCC42 WG2040. Education includes: Dipl.Eng in Electronic and Computer Engineering from Technical University of Crete MSc in Telecommunications from University College London PhD from Aristotle University of Thessaloniki His research integrates Mobile Systems, IoT, and Wireless Communications, with emphasis on: 5G/6G network security using AI-driven strategies Resource optimization in cloud-edge ecosystems UAV-assisted networks for critical infrastructure Healthcare applications via IoMT and data analytics Recent publications (2024-2025) demonstrate strong focus on securing next-gen networks (O-RAN, 6G), optimizing edge computing for VR/IoT, and advancing smart healthcare/cities. Dominant themes include Deep Reinforcement Learning, quantum-inspired optimization, and latency minimization techniques. He participates in EU-funded initiatives including FP7, H2020, Eureka, and national projects. Industrial collaborations include consultancy for Intel Corporation. He directs the MOSys Lab, which researches mobile systems, IoT interoperability, and network security, with projects spanning UAV communications, medical IoT, and sustainable computing.

• Graph Mining
• Network Analysis
• Graph Representation Learning
• +۳ مورد دیگر

Yifei Jin is a WASP Industrial PhD student at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specifically within the Division of Theoretical Computer Science. They are supervised by Professor Aristides Gionis and Associate Professor Sarunas Girdzijauskas at KTH, and also serve as an Experienced Researcher at Ericsson Research and a Visiting Researcher at Yale University under Rex Ying and Leandros Tassiulas. Yifei's research focuses on graph mining , network analysis , and graph representation learning , particularly applied to crowdsourcing data and wireless communication systems. Their work intersects telecommunications network optimization machine learning for graph-structured data AI-driven wireless resource management edge computing and distributed AI as evidenced by their publications spanning 2017–2025. Their academic contributions include 15 recent papers exploring topics such as neural surrogates for voltage drop estimation, wireless ray-tracing models, scalable distributed AI deployment, and vehicle platooning coordination. These publications demonstrate expertise in network traffic reduction KPI conflict analysis graph convolutional networks hyperbolic embeddings for ontologies real-time network diagnostics .

Ünal ÇAVUŞOĞLUمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۶ مورد دیگر

Prof. Dr. Ünal Çavuşoğlu is an Associate Professor at the Department of Software Engineering, Faculty of Computer and Information Sciences, Sakarya University. With a doctorate in chaos-based encryption algorithms (2016) and a master's degree comparing network simulation tools (2014), his research focuses on cybersecurity, machine learning, and chaos theory. He has contributed extensively to intrusion detection systems, IoT security, and cryptographic protocols. Education: Doctorate (2016), Master's (2014), and Bachelor's (2011) in Computer Engineering. Research Interests: Cybersecurity frameworks, machine learning adaptation for threat detection, chaotic encryption, and IoT communication protocols. Recent Work: 2025 publications on homomorphic encryption and LSTM-based intrusion detection demonstrate cutting-edge applications of deep learning in security domains. His 2019-2024 publications reveal a trajectory from foundational chaos theory to applied IoT and cloud security solutions. Key methodologies include genetic algorithms, fractional calculus, and hybrid encryption systems.

Ella Peltonenمشاهده پروفایل

استادیار

• Ubiquitous Computing
• Large-scale Data Analysis
• Applied Machine Learning
• +۵ مورد دیگر

Ella Peltonen is an Assistant Professor at the M3S research unit, University of Oulu, Finland. She joined the Ubicomp Oulu research centre and 6Genesis research programme in November 2018. Prior to this position, she was a postdoctoral researcher at the Insight Centre for Data Analytics in Cork, Ireland. She completed her PhD in the Nodes group at the University of Helsinki, Finland, working on the Carat project of collaborative energy diagnostics for mobile devices. Her educational background includes: PhD in Computer Science, University of Helsinki, Finland (Carat project on collaborative energy diagnostics) Ella Peltonen's research focuses on ubiquitous computing, large-scale data analysis, and applied machine learning. Her work particularly emphasizes everyday sensing and mobile and wearable devices. She aims to apply machine learning algorithms to large, complex data in real-time systems, with a focus on distributed machine learning and data analysis of smart devices. Her research spans various applications including energy consumption monitoring of mobile devices, wearable technology for measuring physiological signals, and exploring future sensing technologies. Peltonen has expressed interest in how future devices might sense human states, become smarter, and provide greater benefits, potentially through innovations like augmented reality glasses or subcutaneous chips. Analysis of her recent publications shows a strong focus on edge computing, vehicular networks, and sustainable computing systems. Her work bridges the gap between theoretical machine learning approaches and practical applications in transportation, healthcare, and environmental monitoring. Many of her papers address challenges in distributed systems, real-time data processing, and privacy-preserving techniques for edge intelligence. Her notable scientific awards include: Nominated to the list of 10 Rising Stars in Networking and Communications by N2 Women 2017 Selected as one of 50 Finnish Researchers by the Finnish Union of University Researchers and Teachers Nokia Scholarship 2015 and 2016 Jorma Ollila Grant 2018 Young Teacher of the Year 2012 Young Researcher of the Year 2015 Peltonen is actively involved in teaching and mentoring, with a teaching philosophy focused on supporting students' independent learning rather than lecturing from above. She enjoys guiding small groups where she can discuss topics together with students and get to know them personally. As a researcher, she describes herself as precise, detail-oriented, and committed to verifying the correctness of her work carefully. She values the combination of mathematical work with experimental work and creativity in technology, noting that research tasks are diverse and can apply different types of methodology. She is part of international research collaborations with several major universities worldwide, as required by Finnish Academy funding. Peltonen is also an advocate for diversity in technology fields, noting that technology is used by all kinds of people from various backgrounds, yet the producers of technology lack diversity. She has highlighted the importance of encouraging more women to pursue technology careers from an early age.

• Signal Processing
• Embedded Systems
• Machine Learning
• +۲ مورد دیگر

Dr. Ergun Erçelebi is a Professor at Gaziantep University's College of Engineering , Department of Electrical and Electronics Engineering. With expertise in Signal Processing , Embedded Systems , and Machine Learning , he has led research in power electronics, wireless localization, and biomedical applications. PhD in Electrical-Electronics Engineering (Gaziantep University, 1999) MSc in Electrical-Electronics Engineering (Gaziantep University, 1992) BSc in Electrical-Electronics Engineering (Middle East Technical University, 1990) His research spans power electronics (multilevel inverters, photovoltaic systems), signal processing (speech enhancement, wavelet transforms), and embedded systems (UAV control, RFID localization). Recent work focuses on hybrid optimization techniques and deep learning for harmonic reduction, modulation classification, and biomedical antenna design. His 2021-2024 publications demonstrate trends in machine learning applications for Turkish lira recognition, UAV-bird classification, and metamaterial design. Earlier work (2014-2020) includes energy management systems, medical imaging phantoms, and smart home automation. 2024: Stanford Most Effective Scientists recognition 15+ patents in embedded systems and medical devices He has supervised 7+ graduate student projects and led 8 research grants, including TÜBİTAK 1501 funding for wearable nebulizer design. His work includes developing smart security systems , remote energy management devices , and RFID-based indoor localization solutions.

• Network Security
• Privacy in Wireless Networks
• Information-Centric Networking
• +۴ مورد دیگر

MARIAS IOANNIS is an Assistant Professor at the Department of Informatics , Athens University of Economics and Business . With a PhD in Informatics (2004) from the University of Athens and an engineering degree from the University of Patras (1995), he has focused on security and privacy in next-generation networks, including sensor networks, vehicular networks, and VoIP services. His research explores Privacy in information-centric networks Trust management in dynamic networks Anti-spam mechanisms for SIP/VoIP Location anonymity techniques Recent publications address content pollution in peer-to-peer systems, homomorphic encryption for privacy, and security in cognitive radio . He has received the Best Student Paper Award at NGI 2010 and contributes to European projects like PURSUIT (FP7) and PSIRP , where he co-designed security frameworks.