جست‌وجوی استاد و پژوهشگر

Mennan Selimiمشاهده پروفایل

استاد

• Federated Learning
• Wireless Networks
• Edge Computing
• +۴ مورد دیگر

Mennan Selimi is a Full Professor at the Faculty of Contemporary Sciences and Technologies at South East European University (SEEU). His research focuses on Federated Learning, Edge Computing, Wireless Mesh Networks, and Decentralized Systems, with applications in IoT and resource-constrained environments. Position: Full Professor Affiliation: Faculty of Contemporary Sciences and Technologies, SEEU Contact: m.selimi@seeu.edu.mk Research Trends: Professor Selimi's work emphasizes adaptive machine learning frameworks for low-capacity devices, integration of LoRa technology in mesh networks, and decentralized edge infrastructure management. His recent publications highlight innovations in federated learning algorithms for wireless environments and experimental platforms for distributed AI research. Collaborations: He actively collaborates with researchers like Felix Freitag, Leandro Navarro, and Joan Miquel Sole across institutions in Italy, Montenegro, and Spain. His projects include the CityLab Testbed and LightKone Reference Architecture.

• Automation Systems
• Control Engineering
• Cybersecurity
• +۵ مورد دیگر

Tomasz Makowski is a Lecturer at the Department of Infotronics and Cybersecurity within the Faculty of Electrical and Computer Engineering at Cracow University of Technology. His work focuses on automation systems, control engineering, and cybersecurity, with active collaborations in robotics and IoT projects. Current affiliation: Cracow University of Technology Academic rank: Lecturer Research interests include: Automation systems and PLC programming 3D printing and Fusion 360 modeling Robotics and sensor networks Human-machine interfaces (HMI) and RFID technology Recent publications highlight applications in: Electromagnetic launcher control 3D printing integrations Smart greenhouse automation Experimental PID algorithm testing Mobile delivery robotics

James Irvineمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications
• Radio Resource Management
• Error Control Coding
• +۱۲ مورد دیگر

James Irvine is a Reader in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is actively involved in research and teaching, with a focus on wireless communications, resource management, and security. He serves as Course Director for the joint Computer and Electronic Systems degree and has extensive leadership roles in IEEE, including Vice-President for Publications of the IEEE Vehicular Technology Society. His research interests include: Radio Resource Management Error Control Coding Wireless System Design (3G to 5G) Wireless Sensor Networks Security Protocols for Wireless Networks Communications for Power Networks Privacy and Cyber Security His recent publications reflect a strong trend toward secure, efficient communication in smart grids and industrial networks, with applications in teleprotection, cloudlets, and bandwidth-constrained environments. He has led and contributed to numerous research projects involving smart infrastructure, 5G, and assistive technologies. His scientific awards include: UBICOMM - Best Paper Award (2011) IEEE Distinguished Lecturer (2011) He has supervised multiple PhD students and is currently accepting new PhD candidates. His research is supported by grants from Energy Networks Association, Scottish Funding Council, and other public and private partners. He is a co-investigator in major projects such as DEFGRID, CAELUS 2, and ReDI, focusing on digital resilience and secure infrastructure. He is affiliated with the StrathCyber initiative and contributes to innovation through the PNDC (Power Networks Demonstration Centre), where he participates in knowledge exchange and technology validation forums.

Rahman Doost-Mohammadyمشاهده پروفایل

عضو هیئت علمی

• Wireless Networking
• 5G/6G Networks
• Massive MIMO
• +۶ مورد دیگر

Rahman Doost-Mohammady is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Rice University. He specializes in wireless networking, machine learning, and reconfigurable computing, focusing on AI-driven resource allocation, RAN virtualization, and large-scale MIMO systems. His work contributes to platforms like RENEW, ETHOS, and Houdini, aiming to optimize next-generation networks. Education: PhD in Computer Engineering, Northeastern University (2015) MSc in Embedded Systems, Delft University of Technology (2009) BSc in Computer Engineering, Sharif University of Technology (2006) Research Interests: His research bridges wireless systems, machine learning, and software-defined networking. Key areas include 5G/6G architectures, dynamic spectrum access, and end-to-end system design for massive MIMO. Recent work emphasizes AI integration into wireless protocols to enhance efficiency and scalability. Publications Trends: Recent articles focus on DRL-based resource scheduling, MIMO detection algorithms, and open RAN frameworks. His work addresses challenges in multi-user beamforming, adversarial network resilience, and real-time baseband processing. Awards: 2012 IEEE Best Paper Award (Cognitive Radio Networks) TU Delft Graduate Fellowship (2007) Advising & Grants: He advises over 20 graduate and undergraduate students, focusing on wireless systems and ML integration. Current grants include NSF-funded projects like Houdini ($4.5M) and ETHOS ($1.9M), emphasizing open spectrum platforms and ML-enabled RAN testing. Labs/Teams: Leads the RENEWLab at Rice, developing software-defined massive MIMO platforms. Collaborates with NSF PAWR initiatives and industry partners like Facebook (MagmaML) and Skylark Wireless.

Ismael Essopمشاهده پروفایل

دانشیار

• Cybersecurity
• Internet of Things (IoT) Security
• Intrusion Detection Systems
• +۳ مورد دیگر

Dr. Ismael Essop is the Deputy Head of the School of Engineering and an Associate Professor in Digital Solutions and Security at the University of Greenwich. With over 20 years in higher education, he specializes in anomaly intrusion detection systems (AIDS) for IoT and IoMT networks. His doctoral research focused on dataset generation for AIDS in IoT networks. He leads curriculum development and strategic initiatives in teaching, research, and employability, while maintaining industry ties through the Tech Industry Gold Educator Network. Education: Holds a BSc (H), MSc, PhD in relevant fields, along with certifications such as Senior Fellow of Advance HE (SFHEA), MIET, and PGCE in Education. His roles include external examiner, faculty panel reviewer, and program accreditation contributor for Digital and Technology Solutions Degree Apprenticeships. Research focuses on cybersecurity for IoT/IoMT, including intrusion detection systems, mobile device authentication, and testbed development. His work appears in journals like Electronics , Sensors , and IEEE Access , alongside conferences like IEEE CAMAD and IFIP. Advising and Grants: While specific student names are not listed, his leadership roles indicate significant contributions to academic governance and program development. External examiner roles highlight his industry-relevant expertise. Labs/Teams: Active in developing security testbeds for IoT networks and collaborates with industry partners on practical cybersecurity solutions.

• Mechanical Engineering
• Automotive Engineering
• Fluid Dynamics
• +۳ مورد دیگر

Alessandro Mancarella is a Fixed-term Assistant Professor at the Department of Energy (DENERG) within the College of Mechanical, Aerospace, and Automotive Engineering at Politecnico di Torino. He has been actively involved in teaching courses such as 'Propulsion systems and their applications to vehicles' and 'Fluid Machines' for the Automotive and Mechanical Engineering degree programs since the 2019/20 academic year. Academic Rank: Assistant Professor Department: Department of Energy (DENERG) Key Teaching Roles: Course Collaborator for Master's and Bachelor's programs His research focuses on sustainable propulsion systems, alternative fuels, and advanced combustion technologies. He leads projects like PRoSIT, which develops predictive cooling strategies for electric vehicle thermal management systems. His work emphasizes emission reduction, fuel efficiency, and vibro-acoustic analysis in internal combustion engines. Recent publications highlight his expertise in hydrotreated vegetable oil (HVO) applications, model-based control systems, and multi-domain engine evaluation. He collaborates extensively with researchers on topics such as PCCI combustion modes, EGR strategies, and hybrid powertrain architectures. Key Research Areas: Alternative Fuels, Combustion Analysis, Thermal Systems Collaborations: Luis M. Castellanos Molina, Omar Marello, Stefano D'Ambrosio

• Computer Networks
• Wireless Communication
• Unmanned Aerial Vehicles (UAVs)
• +۳ مورد دیگر

Talip Tolga Sarı is a Research Assistant at the Department of Computer Engineering , Istanbul Technical University , where he has been affiliated since 2019. He holds a PhD in Computer Engineering (2021), a Master's in Computer Engineering (2018), and dual Bachelor's degrees in Computer Engineering and Electronics & Communication Engineering (2015). Education PhD in Computer Engineering, Istanbul Technical University (2021) Master's in Computer Engineering (2018) Bachelor's in Computer Engineering (2015) Bachelor's in Electronics & Communication Engineering (2015) Research interests span Computer Networks , Wireless Communication , and Unmanned Aerial Vehicles (UAVs) , with a focus on semantic communication , UWB localization , and topology control for resilient networks. His recent publications address UAV swarm coordination , smart campus frameworks , and assisted localization systems , reflecting interdisciplinary applications of computer science in real-world problems. Key trends in his 15 most recent articles include decentralized UAV networks, semantic communication architectures, and UWB-based indoor positioning. His work combines machine learning, cross-layer routing, and software-defined networking paradigms, with citations spanning Computer Science , Robotics , and Network Security . Awards : Highest Performance Award, Istanbul Technical University (2025)

Francesco Zanichelliمشاهده پروفایل

دانشیار

• Distributed Systems
• Service-Oriented Peer-to-Peer Middleware
• Cloud Systems for IoT
• +۱۰ مورد دیگر

Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).

• Automation Engineering
• Simulation-Based Optimization
• Reconfigurable Manufacturing Systems
• +۵ مورد دیگر

Tehseen Aslam is a Senior Lecturer in Automation Engineering at the School of Engineering Science , University of Skövde. As Deputy Vice-Chancellor for Industry Collaboration , they bridge academic research with industrial applications through projects like WISER (2021-2026) and Strategic Production Optimization (2017-2020). Research Interests : Simulation-based optimization, reconfigurable manufacturing systems, AI in industrial vision, digital twins, and sustainable production. Grants & Projects : Involved in Network City Skaraborg (2024), Digital Models for Energy Systems (2022), and Virtual Factory (2018-2020). Publications : 15+ works on multi-objective optimization, system dynamics, and digital manufacturing. Collaborations : Partnerships with Anna Syberfeldt, Amos H.C. Ng, and Gary Linnéusson.

Md Ferdous Alamمشاهده پروفایل

پژوهشگر ارشد

• Generative AI
• Reinforcement Learning
• Optimal Control Theory
• +۳ مورد دیگر

Md Ferdous Alam is a Postdoctoral Associate at the Massachusetts Institute of Technology School of Engineering , affiliated with the Department of Mechanical Engineering. Previously, he earned his Ph.D. from Ohio State University and worked at Autodesk AI Lab as a research intern and collaborator. Academic Affiliations: Current: MIT (Postdoctoral Associate) Ph.D.: Ohio State University Research Collaborator: Autodesk AI Lab Research Interests focus on generative AI, reinforcement learning, and optimal control theory for manufacturing automation. His work integrates AI with hardware for real-time autonomous systems, particularly in 3D CAD/CAM and robotic manufacturing. Key projects include: Developing GenCAD for image-conditioned CAD generation Building a universal manufacturing operating system with AI at its core Advancing data-efficient reinforcement learning algorithms Creating multimodal benchmarks like DesignQA Scientific Awards include the Google Research Scholar Award 2024 in Applied Science and Best Paper Award at MSEC 2020. His publications span journals like Journal of Mechanical Design and conferences including IDETC-CIE. He is active in open-source development, maintaining repositories for autonomous manufacturing and machine learning frameworks.

• Satellite Communications
• Antenna Engineering
• 5G Technology
• +۴ مورد دیگر

Leshan Uggalla is a Senior Lecturer at the University of South Wales, affiliated with the Faculty of Computing, Engineering and Science. His expertise spans satellite communications, antenna engineering, and advanced wireless systems. He actively contributes to research in millimeter-wave phased arrays, 5G technologies, rocket propulsion systems, and metamaterial applications. Research focuses include designing high-frequency communication systems (W-band, Ka-band), mitigating atmospheric interference in satellite links, and optimizing beamforming/steering algorithms. His work integrates hardware prototyping with simulation-based validation, evidenced by contributions to NI-2922 SDR platforms and MIMO testbed designs. Past projects involve developing resilient satellite video broadcast systems using time diversity techniques, and exploring novel applications of metamaterials in optical gas sensing. He has authored over 15 peer-reviewed articles since 2011, with recent emphasis on hybrid rocket engine control and 5G waveform evaluations. His Pure Profile contains detailed records of academic outputs and collaborations.

• Wireless Networks
• 5G/6G Networks
• Performance Modeling and Optimization
• +۵ مورد دیگر

Fidan Mehmeti is a Senior Researcher and Lecturer at the Chair of Communication Networks at the Technical University of Munich (TUM), led by Prof. Wolfgang Kellerer. His expertise spans wireless networks, 5G/6G systems, edge computing, and network security. He holds a PhD from EURECOM/Telecom ParisTech and has held postdoctoral positions at institutions like the University of Waterloo and Penn State University. Education PhD, Institute EURECOM/Telecom ParisTech, 2015 MSc, University of Prishtina (Kosovo), 2009 BSc, University of Prishtina, 2006 Research Interests Fidan's work focuses on resource allocation, mobility management, edge computing, and AI-driven network optimization. He explores challenges like latency guarantees in 6G multi-domain networks and energy-efficient edge orchestration. His research bridges theoretical analysis (e.g., queueing theory) with practical applications in healthcare and autonomous systems. Recent Contributions Recent articles address mMTC traffic management, latency-critical 6G systems, and medical edge computing. He co-authored chapters on 6G architecture and healthcare applications in the upcoming '6G-life' book. Awards & Recognition Best Student Paper Award at IEEE/IFIP NOMS 2025 IEEE Senior Member (2023) Recipient of Best Paper Awards at CNSM 2024 and CCNC 2023 Grants & Projects He leads projects like '6G-ANNA' (BMBF-funded) and '6G-Life', addressing security, sustainability, and healthcare integration. Collaborations with industry partners like Nokia highlight applied research. Teaching Teaches courses on network modeling, optimization, and data networking at TUM. Recent offerings include 'Analysis, Modeling, and Simulation of Communication Networks' and 'Communication Networks Modeling and Optimization'.

Nunzio Tuccittoمشاهده پروفایل

دانشیار

• Molecular Communication
• Nanomaterials
• Physical Chemistry
• +۳ مورد دیگر

Nunzio Tuccitto is an Associate Professor of Physical Chemistry at the University of Catania. His research focuses on molecular communication systems for wave-denied environments, hazardous gas detection, and big-data processing for mass spectrometry. He supervises PhD students and leads major EU-funded projects like ERMES. Education : PhD in Chemistry (2007), University of Catania Research Interests : Designing nanomaterials for molecular communication, developing carbon-based sensors for warfare agents/explosives, and advancing machine learning methods for multisensor data. His work bridges physical chemistry, nanotechnology, and biomedical engineering. Recent Research Trends : 2020s publications emphasize quantum dots for biological fluid communication, lemon waste-derived nanomaterials, and environmental pollutant monitoring via drones. Key themes include signal reliability, biocompatibility, and sustainable synthesis techniques. Scientific Awards ACM NanoCom 2024 Best Work-In-Progress Paper Italian Chemical Society 2021 Distinguished Oral Presentation Royal Society of Chemistry's Beynon Prize (2009-2010) FAMELAB-2018 Catania Winner Advising & Grants : Supervises 3 PhD students. Coordinates €3.7M EU ERMES project (2025-2028) and leads multiple national/international grants totaling €26M. Collaborates with institutions in Poland, Belgium, Canada, and Germany. Labs & Teams : Member of the Department Board, vice-coordinator of Materials Science PhD school, and leads 60 researchers in SiciliAn Micronanotech Center's Environment WP.

Hank Theissمشاهده پروفایل

عضو هیئت علمی

• Photogrammetry
• Data Adjustment
• Error Propagation
• +۸ مورد دیگر

Hank Theiss is a Research Associate Professor at the University of Arkansas, College of Arts & Sciences , affiliated with the Center for Advanced Spatial Technologies (CAST) since 2020. Previously, he served as Chief Scientist at Centauri (formerly IAI) from 2001-2020, leading photogrammetry research for NGA, and as Visiting Assistant Professor at Purdue University (2000-2001). PhD in Civil Engineering (Photogrammetry) from Purdue University (2000) MS in Civil Engineering (Geomatics) from Purdue (1995) BS in Civil Engineering from Virginia Tech (1994) Research Interests focus on: Sequential bundle adjustment for multi-image analysis Generic sensor modeling (GLAS/GFM) for spaceborne sensors like Key Hole (KH) Error propagation and accuracy assessment in 3D GEOINT products AI/ML/DL augmentation for photogrammetric workflows His scientific awards include: Photogrammetric (Fairchild) Award (2021) Centauri Technical Fellow (2019) Impact Team Award (2016) ASPRS Davidson Award (2016) Millie Bayne Distinguished Service Award (2011) Professional Contributions include developing the first bistatic SAR sensor model, prototyping narrow FOV optical motion imagery algorithms for Global Hawk UAVs, and leading the Community Sensor Model Working Group (CSMWG) to standardize geopositioning capabilities across government/industry/academia.

David M Johnsonمشاهده پروفایل

پژوهشگر

• Computer Systems
• Security
• Networking
• +۵ مورد دیگر

David M Johnson is a Researcher and Software Engineer at the School of Computing, University of Utah, specializing in cloud infrastructure, wireless systems, and network security. He designs and builds software for large-scale testbeds like CloudLab, CapNet, and POWDER, focusing on low-level system interactions and secure network architectures. Research Interests: His work spans computer systems virtualization security forensics software-defined networking (SDN) capability-based network design mobile sensor networks and emphasizes least-privilege principles and end-to-end containment in cloud and wireless environments. Publication Trends: Recent articles highlight his contributions to radio dynamic zones open RAN (Radio Access Network) slicing spectrum sharing secure network capabilities testbed automation kernel-level debugging with a strong focus on open-source tool development for wireless and cloud research. Scientific Recognition: He received the 2024 IEEE DySPAN Award Paper for his work on POWDER-RDZ. Collaborative Efforts: Johnson has worked extensively with teams on projects like A3 (attack diagnosis), Stackdb (stackable debugging), and SeaCat (secure application containment), often bridging systems software with security and network innovations.