جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Artificial Intelligence
• Precision Livestock Farming
• +۵ مورد دیگر

Sook Shin serves as a Collegiate Assistant Professor in the Department of Electrical and Computer Engineering within Virginia Tech's College of Engineering. Her interdisciplinary work bridges computer science, agricultural engineering, and bioinformatics through innovative applications of machine learning. Education PhD in Computer Engineering, Virginia Tech Master of Information Technology, Virginia Tech B.S. in Computer Science, Virginia Tech Her research centers on AI-driven solutions for precision agriculture , particularly in livestock monitoring systems using depth imaging and wireless sensors. She develops machine learning frameworks for pig behavior classification, weight prediction, and resource optimization, while also contributing to bioinformatics tools for plant modeling and disease subtyping. Recent work emphasizes edge intelligence for power-efficient sensor networks and secure data labeling pipelines. Analysis of her 15 most recent publications (2012-2025) reveals a dominant focus on precision livestock farming (60% of works), with significant contributions to bioinformatics (25%) and educational technology (15%). Her methodology consistently integrates deep learning with domain-specific sensor data, showing increasing sophistication in multi-modal input processing and real-time system optimization from 2022 onward. Teaching Contributions Applied software design Data structures and algorithms Computational thinking Machine learning applications She actively develops scientific web tools including PlantSimLab for plant biologists and contributes to capstone project frameworks that bridge academic theory with industry applications in smart farming systems.

Greg Kulczyckiمشاهده پروفایل

دانشیار

• Digital Education
• Software Engineering
• Formal Methods
• +۳ مورد دیگر

Greg Kulczycki is an Associate Professor in the Department of Computer Science at Virginia Polytechnic Institute and State University (Virginia Tech) , part of the College of Engineering . His research focuses on digital education , formal methods in software development, and bridging industry-academia collaboration in software engineering education. He earned his Ph.D. in Computer Science from Clemson University in 2004. Key research interests include: Formal verification of software components and systems Web services and transactional service composition Software reuse and productivity enhancement Industrial practices in web application development Recent publications emphasize formal methods for error detection, education-industry partnerships, and optimizing mobile network performance. His work often intersects computational linguistics (e.g., term extraction) and data-centric service design. No scientific awards or student advising information is listed in the available data.

Hafiz Munsub Aliمشاهده پروفایل

مدرس

• Combinatorial optimization
• Network planning
• Healthcare informatics
• +۳ مورد دیگر

Hafiz Munsub Ali is a Lecturer at the School of Computing, Binghamton University. He holds a PhD in Engineering Science from Simon Fraser University (Canada) and an MS in Computer Science from Karachi Institute of Economics and Technology (Pakistan). Previously, he served as a postdoctoral researcher at Dakota State University's College of Business and Information Systems and worked in IT industry roles such as Quality Assurance and Software Support Engineer. Education : PhD in Engineering Science, Simon Fraser University (Canada) MS in Computer Science, Karachi Institute of Economics and Technology (Pakistan) Research Interests : His work focuses on combinatorial optimization , network planning , healthcare informatics , and IoT systems . Key areas include designing secure IoT-enabled healthcare infrastructure, optimizing 5G networks using swarm intelligence, and developing efficient clustering protocols for emerging IoT applications. His interdisciplinary approach integrates machine learning, biofilm imaging analysis, and energy-efficient resource allocation strategies. Publications Trends : Recent publications emphasize IoT security , fog computing , and swarm intelligence algorithms . Notable contributions include protocols for secure healthcare IoT networks (ESPINA) and energy-efficient VM placement strategies using hybrid optimization algorithms. Awards : Currently no awards listed. Advising & Grants : No advising or grant details explicitly stated. His academic focus remains on teaching and research in computational systems. Labs/Teams : No specific lab affiliations mentioned, though his contributions involve collaborative research in network optimization and biomedical imaging.

• Energy network resilience and reliability
• Climate change adaptation and mitigation in energy systems
• Intelligent control of distributed energy resources (DER)
• +۹ مورد دیگر

Dr. Spyros Skarvelis-Kazakos is an Associate Professor in Electrical Engineering at the University of Sussex , leading the Critical Infrastructure Resilience Network (CIReN) and managing the Power Systems and Smart Grid sections of the Energy Dynamics Laboratory. He has held academic positions at the University of Sussex (since 2015) and previously at the University of Greenwich (2012–2015). His research focuses on energy network resilience, distributed energy resources (DER) control, multiple energy carriers, and artificial intelligence in smart grids.

• Telecommunications
• Wireless Networks
• HF Communication Systems
• +۳ مورد دیگر

Cornel Balint is a researcher affiliated with the West University of Timișoara, employed since 1990. He held roles as an assistant (1990–2000) and Works Manager (2000–present), serving on the Department Council from 2016 to 2020. His doctoral degree (awarded in 2005) was supervised by Prof. Miranda Naforniță. Balint specializes in telecommunications, HF spectrum analysis, and wireless networks, with notable contributions to 5G systems and Markov modeling. Research interests include HF spectrum occupancy, 5G performance evaluation, and signal processing. He introduced courses like 'Resource Management in Wireless Networks' (2010) and contributed to patents for sapphire-based devices (1997). His work involves projects such as SDR sensor networks for emergency support and automotive electromagnetic environment characterization. Recent publications focus on NTN agents, 5G throughput analysis, and HF noise studies. Balint has advised graduates like Ionel Petruț and Alexandru Bobaru and remains active in grants and interdisciplinary teams.

Cüneyt F. Bazlamaçcıمشاهده پروفایل

استاد

• Communication and Computer Networks
• Computer Systems Architecture
• Hardware Optimization
• +۵ مورد دیگر

Prof. Cüneyt F. Bazlamaçcı is a Professor in the Computer Engineering Department at İzmir Institute of Technology (IZTECH). He holds a B.Sc. and M.Sc. from Middle East Technical University (1988, 1991) and a Ph.D. in Computing from the University of Manchester (1996). His academic career includes roles at METU (1992–2020) before joining IZTECH in 2020. His research focuses on Communication and Computer Networks, Computer Systems Architecture, Graph Algorithms, and Embedded Systems. Notable contributions include patents on IP lookup architectures and publications in journals like Microprocessors and Microsystems and IEEE Transactions . He has advised over 40 graduate students, with topics ranging from FPGA-based systems to network optimization. His work spans network-on-chip design, reconfigurable computing, and cloud resource allocation. Projects include TÜBİTAK-funded research on low-voltage distribution systems and METU DSIM benchmarking studies. Prof. Bazlamaçcı teaches advanced courses in optimization, computer networks, and architecture. His research integrates algorithm design, hardware/software co-design, and parallel computing for real-world applications.

Adrien Thobمشاهده پروفایل

پژوهشگر

• Galaxy Formation
• Cosmological Simulations
• Synthetic Observations
• +۴ مورد دیگر

Adrien Thob is a Postdoctoral Researcher at the University of Pennsylvania's Department of Physics & Astronomy, part of the Galaxy Dynamics @ UPenn group led by Prof. Robyn Sanderson. He holds a PhD in Galaxy Formation & Computational Cosmology from Liverpool John Moores University (UK), an M.Sc. in Astronomy from the Observatoire de Paris-Meudon (France), and an engineering degree in Telecommunication and Signal Processing from IMT Atlantique (France). His research focuses on galaxy formation mechanisms using cosmological simulations (EAGLE, E-MOSAICS, FIRE) and synthetic observations for telescopes like Roman and JWST. He develops Python-based tools such as wpipe (pipeline manager), dustpy (radiative transfer), and py-ananke (synthetic observation wrapper). His work bridges engineering and astrophysics, leveraging high-performance computing and software engineering skills. Outreach activities include creating simulation visualizations featured in planetarium shows and his Vimeo channel. Notable contributions include analyzing dark matter halo structures' impact on galaxy morphology and kinematics, published in MNRAS and presented at conferences like EWASS 2018.

• Signal Processing
• Error-Correction Coding
• Machine Learning
• +۳ مورد دیگر

Alexios Balatsoukas Stimming is Assistant Professor in the Signal Processing for Communications Lab at Eindhoven University of Technology, with an adjunct appointment at Rice University. His research bridges communications theory, hardware implementation, and machine learning. Research Focus Develops algorithms and hardware for error-correction coding, wireless communications, and RF sensing systems. Current work focuses on low-complexity decoders for emerging standards, machine learning for signal processing, and full-duplex communication systems. Publication Trends Recent work demonstrates advances in polar/LDPC decoder architectures, Wi-Fi sensing techniques, and machine learning applications for demodulation. Strong emphasis on hardware-efficient implementations for 5G/6G systems. Projects & Service BIT-FREE: Hybrid coded modulation for free-space optics Editor for IEEE Journal on Selected Areas in Communications Program committee member for multiple IEEE conferences

Atif Mansoorمشاهده پروفایل

مدرس

• Computer Vision
• Machine Learning
• IoT and Sensor Networks
• +۴ مورد دیگر

Atif Mansoor is a Lecturer in Computer Science and Software Engineering at the University of Western Australia, affiliated with the School of Physics, Maths and Computing. He is also part of the Planning and Transport Research Centre within the School of Social Sciences. His research spans interdisciplinary areas including computer vision, machine learning, IoT systems, and probabilistic graphical models. Mansoor has supervised numerous graduate students, contributing to advancements in automated inference, infrastructure monitoring, and image quality assessment. Recent research focuses on parallel Bayesian network inference, IoT-based structural health monitoring, and remote sensing applications for agriculture. His work integrates machine learning with domain-specific challenges in healthcare, urban planning, and environmental science. Mansoor has collaborated on projects funded by initiatives like the iMove CRC, emphasizing practical solutions for infrastructure and transportation systems. His academic contributions include over 50 peer-reviewed publications and active participation in international conferences. Mansoor’s teaching and research reflect a commitment to innovation in computational methods and their societal applications.

Giampiero Geriniمشاهده پروفایل

استاد

• Metamaterials/Metasurfaces
• Antenna Engineering
• Electromagnetic Bandgap Structures
• +۶ مورد دیگر

Giampiero Gerini is a part-time Professor at Eindhoven University of Technology (TU/e) in the Department of Electrical Engineering, holding a chair in 'Material Engineering from Microwaves to Optics'. His primary affiliation is with TNO (Netherlands Organization for Applied Scientific Research), leading their metamaterial research program in the Optics Department. He specializes in advanced antenna systems, metamaterials, and electromagnetic engineering with applications in radar, imaging, and telecommunications. Academic Roles: Full Professor (part-time), TU/e Electrical Engineering Main Affiliation: TNO Optics Department (Metamaterial Research Lead) Education: MSc in Electronic Engineering, University of Ancona (1998, summa cum laude) PhD in Electronic Engineering, University of Ancona (1992) Research Interests: Focuses on phased array antennas, electromagnetic bandgap structures, frequency selective surfaces, and metamaterials across microwave-to-optical frequencies. Applications include high-resolution imaging, radar systems, and telecommunication infrastructure. Awards: 2008 IEEE Antennas and Propagation Society H.A. Wheeler Applications Prize 2008 ESA Antenna Workshop Best Innovative Paper 2010 EuCAP Best Antenna Theory Paper Advising & Labs: Supervised 12 students and leads TNO's metamaterials program. Organized ESA antenna workshops in 2011 and 2012. Active in developing simulation tools like MDDA for electromagnetic modeling.

• Opinion Dynamics
• Network Control Systems
• Federated Learning
• +۳ مورد دیگر

Roberta Raineri is a PhD candidate in Pure and Applied Mathematics (2021-2024) and a Research Fellow at the Polytechnic University of Turin. She holds affiliations with the Department of Mathematical Sciences (DISMA) and the Department of Electronics and Telecommunications (DET). Her research focuses on opinion dynamics models , network control systems , and federated learning optimization . She collaborates with Professors Fabio Fagnani and Giacomo Como in her doctoral work titled Subset Selection and Detection Problems in Opinion Dynamics Models . Teaching roles include serving as a collaborator for courses such as Mathematical Analysis I (Automotive Engineering) and Project: Software-Defined Communication Systems (Communications Engineering). She is part of the Analysis and Control of Interconnected Systems research group at DISMA. Her recent publications emphasize optimal node selection in noisy networks , coevolutionary action-opinion control , and resilient analysis of stubborn behaviors in social networks . Research extends to federated learning coalition strategies and memory-augmented opinion models.

• Artificial Intelligence
• Ontology Engineering
• Internet of Things (IoT)
• +۵ مورد دیگر

João Luiz Rebelo Moreira is an Assistant Professor at the University of Twente, specializing in Artificial Intelligence, Ontology Engineering, and IoT Interoperability. His research focuses on semantic technologies, explainable AI, FAIR data principles, and their applications in healthcare, smart industries, and enterprise systems. He contributes to UN Sustainable Development Goals related to health, smart industries, and sustainable consumption. His expertise includes ontology-driven systems, machine learning workflows, and data governance frameworks. Notable achievements include the FOIS 2018 best paper award for SAREF4health, an ontology for IoT-based healthcare systems. He collaborates internationally on projects like SEMIoTICS (semantic IoT interoperability) and OpenPREDICT (FAIR workflows in drug discovery). Research Interests: Ontology Engineering, Explainable AI, FAIR Data, IoT Standards, Enterprise Architecture Key Projects: OpenPREDICT, SEMIoTICS, Personal Health Trains Collaborations: Port of Valencia IoT EWS, VODAN Brazil Health Network Publications span over 40 works in conferences like EDOC, FOIS, and ER, focusing on semantic interoperability, machine learning explainability, and IoT standardization. He actively reviews for journals and organizes workshops on ontology-driven systems and FAIR data practices. His datasets include work on FAIR protocols (Zenodo) and healthcare data management studies. Current research trends emphasize integrating AI ethics, digital product passports, and data mesh architectures for decentralized systems.

• Optical Communications
• Fiber Optics
• Nonlinear Optics
• +۳ مورد دیگر

Dr. Paolo Carniello is a Researcher in the Institute for Communications Engineering at the Technical University of Munich (TUM), affiliated with the Associate Professorship of Line Transmission Technology led by Prof. Norbert Hanik. He holds a B.Sc. in Electronics Engineering from the University of Udine (2016-2019) and an M.Sc. in Telecommunications Engineering from Politecnico di Torino (2019-2021). His research focuses on Space-Division Multiplexing (SDM) for optical fiber communications, particularly on physical models for nonlinear signal propagation in multimode fibers and the development of numerical simulators for SDM system analysis. His work addresses challenges such as nonlinear coupling coefficients, mode group interactions, and fiber geometry optimization. He has contributed to IEEE journals, SPIE conferences, and other venues, publishing on topics like closed-form nonlinearity coefficients and holographic fiber characterization. He teaches the Simulation of Optical Communication Systems Laboratory and collaborates on projects involving multimode fiber modeling and SDM channel analysis. Current research interests include simplified analytical models for multimode signal propagation, potential DSP and optical compensation techniques, and evaluating multimode fiber geometries for optimal SDM performance. His work bridges theoretical models with practical applications in high-capacity optical networks.

Rohan Munasingheمشاهده پروفایل

استاد

• Smart Agriculture
• Human-Elephant Conflict
• Drone Design and Deployment
• +۷ مورد دیگر

Rohan Munasinghe is a Professor at the Department of Electronic and Telecommunication Engineering, University of Moratuwa, Sri Lanka, and a Visiting Fulbright Scholar in Cornell University's Department of Global Development. His expertise spans smart agriculture, human-elephant conflict mitigation, drone technologies, control systems, and robotics. He leads the Technology Transfer Office at the University of Moratuwa, focusing on IP management, entrepreneurship, and tech commercialization. Rohan holds a PhD in Systems Control from Saga University (Japan, 2003) and has extensive postdoctoral and industry experience. His research integrates robotics, IoT, AI, and machine learning to address real-world challenges. Education: Postdoc, KAIST-Stanford Joint Research, 2003-04 PhD in Systems Control, Saga University, Japan, 2003 M.Eng in Systems Control, Saga University, Japan, 1999 B.Sc (Eng) Hons in Electronic Engineering, University of Moratuwa, Sri Lanka, 1996 Research interests include precision agriculture using drones and IoT, human-elephant conflict solutions through seismic monitoring, adaptive traffic control with AI, and multidisciplinary tech development. He has eight patents, two startups, and authored a textbook on control systems. Rohan actively contributes to national entities like the National Science and Technology Commission and is a Senior Member of IEEE. Awards & Recognition: Gold Award, National Best Quality Software Awards (2020) Outstanding Research Performance Awards (2008-2012) Best Paper in Robotics, MERCON 2019 Advising and Innovation: Supervised student startups and projects, including drones like CeyHawk and DeliAir. Leads tech transfer initiatives and mentors entrepreneurs. His work bridges academia and industry through collaborative projects with entities like the Civil Aviation Authority of Sri Lanka and Dialog Axiata. Labs & Teams: Director of UAV Research Laboratory, founder of the Business Linkage Cell, and pioneer of centers like CERA and CAR at the University of Moratuwa.

Rakan Aldmourمشاهده پروفایل

مدرس ارشد

• Mobile Cloud Computing
• Internet of Things (IoT)
• Risk Assessment
• +۳ مورد دیگر

Rakan Aldmour is a Senior Lecturer at Staffordshire University's School of Digital, Technologies and Arts and Course Leader for MSc Business Computing. He teaches courses such as Enterprise Systems, Managing Emerging Technologies, and Research Methods, while supervising PhD and MSc students. His research focuses on Mobile Cloud Computing, IoT systems, Risk Assessment, Digital Transformation, and Blockchain, with notable contributions to cybersecurity frameworks for IoT-SCADA systems and smart city initiatives through his internship at the UAE Telecommunication Regulatory Authority. Rakan holds a PhD in Mobile Cloud Computing from Anglia Ruskin University, an MSc in Management Information Systems, and a BSc in Software Engineering, complemented by certifications including MCSE, TOGAF, and CCNA. His professional expertise spans Software Engineering, Business Models, IT Management, and Cloud Computing. He has secured £400,000 in grants through Staffordshire Digital Innovation Partnerships (SDIPs) and contributed to projects like the PETRAS National Centre for IoT Cybersecurity. His work emphasizes practical applications of technology in education, healthcare, and urban development, with publications addressing energy-efficient mobile cloud models, intrusion detection systems, and blockchain-based solutions for transparency and integrity.