Wireless Mesh Networking Professors and Supervisors

Galina Hryhorivna Kyrychekمشاهده پروفایل

دانشیار

Transilvania University of BrasovRomania

Dr. Galina Hryhorivna Kyrychek is an Associate Professor in the Department of Computer Systems and Networks at Zaporizhzhia National Technical University. With over 25 years of academic service since 1995, her work bridges theoretical and applied computer science, focusing on network infrastructure and wireless systems. Ph.D. in Computer Science Ukrainian and Russian language proficiency Active in international research collaborations Education : Dnipropetrovsk State University (1988) - Physics, Physicist-Teacher Zaporizhzhia National Technical University (2002) - Computer Systems Engineering Research Interests : Her work emphasizes decentralized networks , wireless data transmission , and cloud infrastructure . She explores IoT security , mesh networking , and educational technology , often integrating simulation modeling and optimization techniques. Publication Trends : Recent articles focus on AI-driven network optimization , decentralized mesh networks , and secure remote access . Her work addresses sustainable urban infrastructure and distance learning systems , reflecting interdisciplinary applications of computer science. Technical Expertise : She actively teaches and develops curricula in computer networks , wireless technologies , and network design , maintaining a strong connection between academic instruction and research innovation.

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Maria Yurievna Tyagunovaمشاهده پروفایل

دانشیار

Transilvania University of BrasovRomania

Maria Yurievna Tyagunova is an Associate Professor and Dean at the Faculty of Computer Science and Technology, Zaporizhia National Technical University. She holds a PhD in Computer Systems and has been active at the university since 2006, specializing in cyber-physical systems, artificial intelligence, and neural networks. Education: Master's in Specialized Computer Systems (ZNTU, 2006), PhD in Task Dispatching Methods (2010) Research: Systems thinking, complex systems theory, distributed computing, and AI-driven optimization Teaching: Courses in cyber-physical systems, Industry 4.0, and intelligent systems Her recent publications focus on AI integration in education, decentralized mesh networks, smart infrastructure, and wireless communication challenges. These works reflect trends in scalable systems, real-time data processing, and cybersecurity for critical applications. Contact details include her office at Zhukovsky St., 64, Zaporizhia, Ukraine, with phone +38(061)7642506 and fax +38(061)7642141.

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Abdullah Salih Bayraktarمشاهده پروفایل

پژوهشگر

Sakarya UniversityTurkey

Abdullah Salih Bayraktar serves as a Researcher at Sakarya University's Faculty of Computer and Information Sciences within the Department of Software Engineering. Holding a doctorate in Computer Engineering (2021), he maintains active institutional engagement through current contact details and ongoing research initiatives. His academic credentials feature: Dual Bachelor's degrees in Computer Engineering and Electrical-Electronics Engineering from Sakarya University (2012-2016) Master's in Computer Engineering from Gebze Technical University (2018-2021) with thesis: Channel assignment for wireless industrial internet of things mesh networks Doctorate in Computer Engineering from Sakarya University (2021) Bayraktar's research integrates Internet of Things frameworks with practical applications in energy optimization and healthcare diagnostics. His work demonstrates consistent focus on wireless network architectures for smart infrastructure, particularly examining machine-to-machine communication protocols for building energy systems. Concurrently, he explores photoplethysmography signal analysis for automated sleep disorder detection, indicating cross-disciplinary methodology bridging embedded systems and biomedical engineering. Publication analysis reveals concentration on sustainable IoT implementations, with his 2019 study establishing foundational work in smart building energy management. Current projects extend this trajectory into medical diagnostics through development of an obstructive sleep apnea syndrome detection system using PPG signal processing. Scientific awards: None documented in available records. Research funding includes institutional projects on smart building energy management and sleep apnea diagnosis systems. No student advisement activities or external grant acquisitions are indicated in the provided documentation. Institutional records show no laboratory affiliations or team leadership roles beyond project participation.

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Binghao Liمشاهده پروفایل

دانشیار

University of New South WalesAustralia

Associate Professor Binghao Li leads the MIoT & IPIN Lab at the School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney. He holds a PhD in Spatial Information Systems from UNSW and advanced degrees in Civil and Electrical/Mechanical Engineering from Tsinghua University and Beijing Jiaotong University. Expertise in indoor/outdoor positioning systems Pioneering mine IoT applications Leader in pedestrian navigation research His research spans indoor positioning technologies, satellite navigation, and mining IoT solutions. Key grant projects include: 2021 CRC-P grant ($2m) for underground mine LoRa networks 2020 ARC Research Hub ($5m) for connected sensors 2018 Digital Grid Seed Funding for indoor navigation 2015-2019 ARC Linkage grants for positioning systems Award highlights: 2019 Best Paper & Presentation Awards 2010 VC's Post-Doctoral Fellowship 2004-2005 student research awards He supervises research in indoor positioning and mine IoT, and teaches courses including ENGG1000 Engineering Design and MINE8710 Mine Slope Stability.

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Samy El-Tawabمشاهده پروفایل

استاد

James Madison UniversityUnited States

Samy El-Tawab is a Professor and the Information Technology Program Director at James Madison University (JMU) within the College of Integrated Science and Engineering 's Department of Computer Science . He has been at JMU since 2012, progressing from Assistant to Associate to Full Professor in 2024. Education: Ph.D. in Computer Science (2012), Old Dominion University M.Sc. in Computer Science (2006), Alexandria University B.Sc. in Computer Science (2002), Alexandria University Research Interests span Intelligent Transportation, Vehicular Ad-Hoc Networks (VANET), Wireless Sensor Networks (WSN), Network Security, Internet of Things (IoT), Cloud Computing, and Autonomous Vehicles. His work focuses on creating passenger-aware autonomous systems and improving transportation efficiency through low-cost IoT solutions. Selected Projects include: Independent Mobility for the Elderly (2019): $120,000 Jeffress Trust Award 4-VA Transit Bus Optimization (2015): $37,700 Madison Trust Smart Parking (2016): Cloud-based parking app STEM Outreach (2015): Mobile tech integration for K-12 education Scientific Awards : 2020 Madison Scholar 2018 Virginia Governor's Technology Award 2017 Outstanding Junior Faculty 2017 CFI Engaged Teacher Scholar 2014 IEEE MASS Travel Award Teaching includes courses like Autonomous Vehicles, Wireless Networking, Security & Forensics, and TCP/IP Networks. He emphasizes project-based learning, with students working on real-world problems like parking solutions and transit monitoring systems.

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Umakishore Ramachandranمشاهده پروفایل

استاد

Georgia Institute of TechnologyUnited States

Umakishore Ramachandran is a Professor in the School of Computer Science at Georgia Institute of Technology's College of Computing, where he directs the Embedded Pervasive Lab. He received his Ph.D. from the University of Wisconsin-Madison in 1986 and has led transformative initiatives including the Online MS in Computer Science (OMSCS) program. His research spans distributed systems, edge computing, and real-time sensor networks, with applications in smart surveillance and connected vehicles. His research interests include architectural design of parallel/distributed systems, large-scale situation awareness using camera networks, cloud-edge continuum optimization, and latency-sensitive applications for geo-distributed infrastructures. Recent work focuses on elevating edge computing to parity with cloud resources. His publications show strong emphasis on edge computing innovations (MicroEdge, FogStore), real-time video analytics (EVA, ClairvoyantEdge), and adaptive mobile systems (Foresight). Trends include multi-tier architectures, quality-of-experience optimization, and scalable processing for IoT workloads. Major Awards: IEEE Fellow (2014) NSF Presidential Young Investigator (1990) ACM/IFIP Middleware Best Paper (2022) 3x College of Computing Dean's Awards He has advised 40+ PhD students, with recent graduates at Google, Microsoft, and academia. Current NSF/CPS grants support his work on geo-distributed latency-sensitive applications. He co-leads the STAR Center and Samsung-funded embedded software programs. His Embedded Pervasive Lab develops systems like Stampede (stream processing) and DFuse (sensor fusion), with testbeds in the Aware Home and transportation networks. Teams collaborate with Intel, Microsoft, and Bosch on edge-AI deployments.

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Steven Dufourمشاهده پروفایل

استاد

Polytechnic School of MontrealCanada

Professor Steven Dufour is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. With a career spanning over two decades since completing his Ph.D. in 1999, he has established himself as an expert in numerical modeling, particularly in the areas of finite element methods and multiphase systems. His academic journey began with B.Sc. and M.Sc. degrees from the University of Montreal, followed by a Ph.D. from Polytechnique Montréal. Professor Dufour's research focuses on the numerical modeling of free surface flows in industrial processes, with expertise recognized by NSERC in modeling, simulation, and finite element methods (topic 2107) and polyphase systems (topic 2202). Professor Dufour's research interests span computational fluid dynamics, finite element analysis, and more recently, the integration of machine learning techniques with traditional numerical methods. His work has evolved from foundational research in adaptive finite element methods for multiphase flows to cutting-edge applications combining physics-informed neural networks with computational fluid dynamics, electromagnetic field analysis, and millimeter-wave sensing. His publication record demonstrates consistent research productivity, with 23 publications documented across computational mathematics and engineering applications. The most recent publications from 2024 show his adaptation to emerging methodologies in computational science, particularly the application of physics-informed neural networks to solve complex fluid dynamics problems. NSERC Expertise: Modeling, simulation and finite element methods (2107) NSERC Expertise: Polyphase Systems (2202) Supervised 7 doctoral students to completion Supervised 13 master's students to completion Professor Dufour has maintained active research funding and supervision throughout his career, mentoring students in both theoretical numerical methods and practical engineering applications. His collaborative work spans multiple engineering disciplines, connecting computational mathematics with real-world industrial and biomedical problems.

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Michał Pióroمشاهده پروفایل

استاد

Gdańsk University of TechnologyPoland

Michał Pióro serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His office is located in Building A of the Faculty (room 149), where he actively conducts research and teaching in network engineering disciplines. His research centers on network optimization and resilience, with specialized focus on Software Defined Networking (SDN) controller placement, Free Space Optics (FSO) networks under weather disruptions, and industrial control systems for Industry 4.0. Key methodologies include min-max optimization, uncertainty set modeling, and game-theoretic approaches to address node-targeted attacks and atmospheric interference. His work bridges theoretical optimization with practical network design challenges in wireless communications. Analysis of recent publications (2021-2024) reveals consistent innovation in enhancing network robustness through mathematical optimization. His research demonstrates particular expertise in developing joint optimization frameworks for SDN controller placement and creating weather-resilient FSO network configurations using advanced uncertainty modeling. These contributions address critical gaps in maintaining network functionality during attacks and adverse environmental conditions. Scientific awards: No scientific awards were mentioned in the provided information Advising and grants: No information regarding student supervision or research grants was provided

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Adam Lamęckiمشاهده پروفایل

دانشیار

Gdańsk University of TechnologyPoland

Dr. Adam Lamęcki serves as an Associate Professor at Gdańsk University of Technology within the Faculty of Electronics, Telecommunications and Informatics. His primary affiliation is with the Department of Microwave and Antenna Engineering, where he conducts research on advanced microwave components and electromagnetic systems. Contact information includes email adalamec@pg.edu.pl and phone +48 58 347 2917. His research focuses on microwave filter design , antenna engineering , and computational electromagnetics , with particular expertise in 3D-printed components, dispersive-delay structures, and multipactor simulation. Recent work demonstrates innovation in coaxial-line filters for Earth observation systems, compact beam-switching antennas for ISM bands, and self-equalized Chebyshev microwave filters using frequency-variant coupling networks. Analysis of his 2024-2025 publications reveals strong emphasis on practical RF component implementation and open-source simulation tools , with applications spanning telecommunications, satellite systems, and industrial microwave devices. His work consistently bridges theoretical microwave theory with experimental validation. Lamęcki leads significant research projects funded through Poland's National Science Center, including PRELUDIUM BIS and OPUS grants focused on advanced mesh deformation techniques for electromagnetic structure optimization. His projects operate within the Faculty of Electronics, Telecommunications and Informatics under agreements UMO-2020/39/O/ST7/02897 and UMO-2013/09/B/ST7/04202.

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José Aurelio Santana Almeidaمشاهده پروفایل

استاد

University of Las Palmas de Gran CanariaSpain

José Aurelio Santana Almeida is a Full Professor at the University of Las Palmas de Gran Canaria, affiliated with the Department of Signals and Communications and the Institute of Cybernetics, Enterprise and Society. His research spans telecommunications engineering with specializations in signal processing, wireless networks, and image analysis. Primary research interests include: Energy-efficient wireless networks for smart city infrastructure Medical and satellite image processing algorithms Ubiquitous sensor communications and IoT systems Telecommunications systems optimization Recent publications (2014-2019) demonstrate a strong focus on WiFi optimization, mesh networks, and sensor communications for urban environments, while earlier work (2003-2004) established foundations in medical image processing including MRI analysis and nonrigid registration techniques. Professor Santana has supervised 14 bachelor/master's theses projects, primarily focused on: Medical image processing and visualization Wireless sensor platforms Satellite image correction and analysis Network infrastructure development

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Roberto Carlos Hincapie Reyesمشاهده پروفایل

استاد پژوهشی

Pontifical Bolivarian UniversityColombia

Roberto Carlos Hincapie Reyes is a Research Professor at Pontifical Bolivarian University, Medellín, Colombia, affiliated with the Research and Development Group for Information and Communication Technologies Applications (GIDATIC). With a Doctor of Engineering in Telecommunications, he has produced 76 scientific works from 2006-2025 and participated in 8 research projects as co-investigator. His research spans telecommunications engineering and environmental health, with key interests in Smart Grids, Wireless Networks, Data Aggregation, IoT Applications, and the exposome concept. The fingerprint of his work shows strong expertise in Smart Meters (100%), Passive Optical Networks (92%), Data Aggregation (72%), Wireless Mesh Networks (57%), and Smart Grids (53%). His recent work bridges engineering with public health, particularly studying environmental exposures and children's health. Analysis of his publications from 2023-2025 reveals a significant shift toward environmental health research, particularly through the PROMESA cohort study. These works examine how environmental exposures affect DNA and respiratory health in Colombian children, combining engineering approaches with epidemiological methods. His publications show growing impact with citations in Scopus and attention from news outlets. Dr. Hincapie Reyes actively contributes to research funding through multiple projects including Flexibility 2030 (2025-2026), Red Espacios Museo (2024-2026), and Aisladores Eléctricos GEB (2023). His collaborative approach is evident in projects involving multiple Colombian institutions and researchers across disciplines. As a member of GIDATIC, he contributes to the Research and Development Group for Information and Communication Technologies Applications, working at the intersection of telecommunications engineering, data science, and environmental health research. His collaborations extend to national institutions including Corporación Parque Explora, Fundación Jardín Botánico, and Universidad de los Andes.

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