Find Academic Supervisors

• Magnetoelastic Effects
• Magnetic Materials
• Sensor Technology
• +4 more

Maciej Kachniarz, PhD, is an Adjunct Professor at the Faculty of Mechatronics, Warsaw University of Technology, affiliated with the Institute of Metrology and Biomedical Engineering. His research focuses on magnetoelastic effects in materials, magnetic sensor development, and mechatronics applications. He holds a PhD in mechanical engineering awarded in 2024. Education: PhD in Mechanical Engineering (2024) Research Interests: Characterization of magnetoelastic properties in ferrites and amorphous alloys Development of stress and force sensors using magnetostriction principles Graphene-based sensor technologies Modeling hysteresis phenomena in ferromagnetic materials Applications in structural health monitoring and aerospace systems Awards: Best Young Scientist Poster Award (2017) Team awards for scientific achievements (2016-2019) Team award for organizational achievements (2019) Advising & Grants: Currently supervising no listed students. Active in collaborative projects related to sensor development and material characterization. Labs/Teams: Involved in labs focused on mechatronic materials testing and electromagnetic compatibility research within the Faculty of Mechatronics.

• Assistive Technology
• Augmented Reality
• Computer Vision
• +5 more

Zhigang Zhu is the Herbert G. Kayser Professor of Computer Science at The City College of New York (CUNY), affiliated with the Grove School of Engineering. He holds academic roles in the Computer Science PhD Program and M.S. Program in Cognitive Neuroscience at the CUNY Graduate Center. As Director of the City College Visual Computing Laboratory (CCVCL) and Co-Director of the Master’s Program in Data Science and Engineering, he focuses on advancing assistive technologies, computer vision, and human-computer interaction. His research emphasizes accessibility solutions for visually impaired individuals, leveraging AR/VR, machine learning, and multimodal perception. Education: Ph.D. (Computer Science, with honor) from Tsinghua University (1997), M.E. (1991), B.E. (1988) Affiliations: Department of Computer Science, CCNY; CUNY Graduate Center Research interests include assistive technology applications, augmented reality systems, and energy efficiency analysis. Notable projects include the BLV App Arcade for visually impaired navigation and MAC-U-Vision+ for AMD patients. He has received awards such as the President’s Award for Excellence (2013) and the CUNY Salute to Scholars recognition. His work integrates AI, computer vision, and IoT to address urban accessibility challenges, with contributions to sidewalk material analysis, real-time indoor navigation, and emotion recognition systems. Ongoing projects explore multimodal data fusion and energy-efficient building systems.

Yusun ChangView profile

Professor

• Vehicular Ad Hoc Networks (VANETs)
• Wireless Mobile Networks
• Intelligent Transportation Systems
• +4 more

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.

Lei JiaoView profile

Research Professor

• AI Systems
• Edge Computing
• Cloud Computing
• +5 more

Dr. Lei Jiao is a Research Professor at the School of Computer and Data Sciences , University of Oregon, specializing in large-scale systems across cloud, edge, and NextG networks. Their interdisciplinary work integrates network optimization , machine learning , and game theory to enhance system efficiency, scalability, sustainability, and resilience. Research interests include Edge AI , Cloud Computing , Energy Systems , Cybersecurity , and Multimedia . Current affiliations: Center for Cyber Security and Privacy , University of Oregon; former role at Nokia Bell Labs , Ireland. Dr. Jiao's recent publications focus on AI systems in cloud-edge environments, resource orchestration , cybersecurity , and energy-efficient computing . Their work has earned recognition through IEEE/ACM awards and grants from the National Science Foundation and Ripple . As an educator, Dr. Jiao teaches Intermediate Algorithms , Optimization , and Edge Computing Seminars . They actively mentor PhD and MSc students across institutions like Fudan University , BUPT , and University of Oregon .

• Telecommunications
• Wireless and Mobile Communication Systems
• 5G and Beyond Networks
• +12 more

Américo Manuel Carapeto Correia is a Full Professor and Deputy Director at the Department of Information Science and Technology (ISTA), ISCTE – Instituto Universitário de Lisboa. He is also an Integrated Researcher at the Institute of Telecommunications - IUL, affiliated with the Radio Systems Group. His academic leadership includes serving as Director of ISTA (2010–2013, 2020), and multiple roles in academic governance such as member and Vice President of the Scientific Council. PhD in Electrical Engineering, Higher Technical Institute - UTL (1994) Master’s in Electrical and Computer Engineering, Higher Technical Institute - UTL (1990) Bachelor’s in Electrical Engineering, Faculty of Engineering - Angola (1983) Aggregation in Information Sciences and Technologies, ISCTE (2006) His research focuses on telecommunications and mobile networks, particularly 5G, LTE-Advanced, femtocells, machine-type communications, and energy-efficient network design. His work bridges theoretical innovation with practical implementation in areas like agriculture (SMARTFARM4.0), aerial surveillance (SAAS), and multimedia services (COILS, C-MOBILE). The recent articles supervised reflect a strong trend toward 5G private network planning across diverse sectors including healthcare, energy, transportation, and government. Emerging topics include Reconfigurable Intelligent Surfaces (RIS) for 6G and AI-driven robotics in healthcare, indicating forward-looking research aligned with next-generation wireless systems. He has led multiple research projects funded by national and international consortia, including: SMARTFARM4.0 (2020–2023): Smart agriculture solutions SAMEQoE (2017–2019): Quality of Experience optimization in mobile networks VELOCE-MTC (2016–2018): Low-latency machine-type communications ADIN (2013–2015): Infrastructure-less wireless networks NEUF (2012–2014): LTE-Advanced with femtocells SAAS (2012–2014): UAV control via terrestrial networks Américo Correia has advised 36 master’s students and 3 doctoral candidates, demonstrating a strong commitment to academic mentorship. He teaches core courses such as Wireless and Mobile Communication Systems, Advanced Mobile Communication Systems, and Research Methods at both master’s and PhD levels. He leads the PhD course on Management of Research Projects, emphasizing research leadership and innovation. His lab affiliations include the Radio Systems Group at IT-Iscte, a key hub for wireless systems research in Portugal.

Hwa ChangView profile

Associate Professor

• Wireless Communications
• e-care
• Computer Networking
• +5 more

Hwa Chang is a tenured Associate Professor in the Department of Electrical & Computer Engineering at Tufts University , where he has been a faculty member since 1987. He directs the Tufts Wireless Lab and oversees the Computer Engineering Program . His research focuses on wireless communications, sensor networks, distributed computing, and engineering education. Education: Ph.D. in Electrical and Computer Engineering (Drexel University, 1987), M.S. in Computer Science (Montana State University, 1983), B.S. in Engineering Science (National Cheng Kung University, 1977). Research Interests: Wireless Sensor Networks (WSNs), energy-efficient routing, mobile ad hoc networks, grid computing, and network security. Notable projects include the Wireless Grid initiative and WISeNET , exploring resource-sharing in dynamic environments. Awards: Outstanding Alumni Award (National Cheng-Kung University, 2005) Excellent Leadership and Service Award (New England Association of Chinese Professionals, 2005) $600K NSF grant for Virtual Markets research (2002-2004) Advising & Grants: Advised ~150 master students and 160 senior design projects Ph.D. graduates include Amlir Davis (2013), Na Wang (2009) Recipient of grants from BBN, NSF, and industry partnerships like A$W Technology Corp. Professional Activities: Leadership roles in New England Association of Chinese Professionals, IEEE, and global science organizations. Editor-in-chief for multiple conference proceedings.

• Computer Science
• Networking
• Quality of Experience (QoE)
• +5 more

Brecht Vermeulen is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture, Department of Information Technology. He works within the Internet Technology and Data Science Lab, focusing on networking, video quality assessment, and energy-efficient systems. Research Areas: Quality of Experience (QoE), Dynamic Spectrum Sharing, Video Coding, Interoperability Testing, Federated Experimentation. Key Collaborations: IMEC, FIRE initiative, EU-US/South Korea partnerships. Research Focus: Vermeulen's work spans scalable video coding, distributed CORBA monitoring, and energy efficiency in telecommunications. He applies genetic programming to video quality metrics and explores AI-driven radio systems for spectrum sharing. Publication Trends: His recent articles address zero vulnerability computing hypotheses, healthcare robotics during pandemics, and federated testbed architectures. Earlier works focus on QoE for video, thin client power efficiency, and tunnel setup mechanisms.

Shekhar NayakView profile

Assistant Professor

• Speech Recognition
• Speech Synthesis
• Multimodal Sarcasm Detection
• +3 more

S. (Shekhar) Nayak, PhD is an Assistant Professor in Speech Technology at the University of Groningen’s Campus Fryslân. His research focuses on low-resource and multilingual speech recognition, expressive speech synthesis, and multimodal sarcasm detection. He holds a PhD in Electrical & Electronic Engineering and actively contributes to advancing AI-driven speech processing techniques. Dr. Nayak teaches courses such as Speech Recognition I/II, Machine Learning, and Speech Synthesis II. His work bridges theoretical advancements with practical applications, including improving dysarthric speech recognition and cross-lingual speech representations for minority languages. His recent research emphasizes attention mechanisms, graph neural networks, and bi-modal data augmentation for sarcasm detection. Collaborations involve developing digital tools for endangered languages like Akha, Karen, and Mlabri, reflecting his commitment to multilingual and low-resource language technologies. Publications span topics from unsupervised speech segmentation to adaptive strategies for automatic speech recognition. His research portfolio demonstrates innovation in both foundational methods and real-world speech technology challenges.

Pavlos AntoniouView profile

Teaching Professor

• Networked Systems Design
• Nature-Inspired Algorithms
• Swarm Intelligence
• +5 more

Pavlos Antoniou is a Teaching Professor at the Department of Computer Science, University of Cyprus since 2009 and a member of the Networks Research Laboratory (NetRL). He holds a Ph.D. (2012) and a Dip.Ing. (2005) in Electrical and Computer Engineering from the National Technical University of Athens. His research focuses on nature-inspired algorithms for networked systems, including swarm intelligence, bio-inspired congestion control, and machine learning applications in complex systems. He has contributed to projects like the EU-funded GINSENG and the SEnDIng IoT initiative, and co-founded the energy-intelligent startup Viridom. Education: Ph.D. in Computer Science, University of Cyprus (2012) Dip.Ing. in Electrical and Computer Engineering, National Technical University of Athens (2005) Research Interests: Design/analysis of networked systems using bio-inspired models (e.g., Lotka-Volterra, bird flocking) Machine learning for complex system optimization Energy-efficient IoT and smart home technologies Self-organizing wireless sensor networks Service Roles: Departmental Webmaster for Computer Science Logipaignion Competition Webmaster (annual computer game competition for students) Awards: Top 3% graduate student at NTUA (2000s) IKY Scholarship for academic excellence Special awards for academic excellence in high school Labs/Teams: Networks Research Laboratory (NetRL) at University of Cyprus.

Paul TownendView profile

Associate Professor

• Energy-efficient distributed systems
• Sustainable computing
• Cloud computing
• +7 more

Paul Townend is an Associate Professor at Umeå University , Sweden, with a Docent qualification. He leads the Green Distributed Computing group and serves as Research Leader for the Autonomous Distributed Systems (ADSLab) lab. Scientific Coordinator for Horizon Europe COGNIT Co-Manager & Scientific Advisor for WASP WARA-Ops Member of WASP Graduate School Management Team His research focuses on energy-efficient and sustainable distributed systems , with a current emphasis on Edge-Cloud integration . Additional areas include fault tolerance, provenance, data center optimization, and simulation . He has supervised 5 PhD students and 2 postdocs , with expertise in IoT, machine learning for cloud management, and microservices . Best Paper Awards at SOSE 2013 and ISORC 2012 Principal Investigator for grants totaling over $5.8M , including projects like Adaptive Monitoring of Streaming Data and Energy-Aware Cloud-Edge Management

• Computer Networking
• Bio-inspired Computing
• Network Management
• +6 more

William Donnelly is a professor at Waterford Institute of Technology in Waterford, Ireland, with a distinguished research career spanning over three decades. His work demonstrates a clear evolution from traditional telecommunications and network management to bio-inspired computing approaches, and more recently to precision agriculture applications and computer graphics. His primary research interests focus on Computer Networking , Bio-inspired Computing , and Precision Agriculture . Early in his career, he specialized in telecommunications management networks (TMN) and service management. He then pioneered work applying biological concepts like chemotaxis and quorum sensing to networking problems, developing bio-inspired routing protocols and service management frameworks. In the 2010s, his research shifted toward precision agriculture applications, particularly dairy farming, where he applied wireless sensor networks, fog computing, and edge analytics to monitor animal behavior and optimize farming practices. Most recently, he has transitioned into computer graphics, focusing on real-time rendering techniques with publications in 2023-2024 on spatiotemporal sampling methods. Analysis of his publication trends reveals a researcher who consistently identifies emerging technological challenges and applies innovative cross-disciplinary approaches to solve them. His work demonstrates remarkable adaptability, moving from telecommunications standards to biological metaphors, then to agricultural technology applications, and finally to computer graphics - always maintaining a focus on optimization, efficiency, and practical implementation. Throughout his career, Donnelly has maintained strong collaborative relationships, particularly with Sasitharan Balasubramaniam and Dmitri Botvich, with whom he has co-authored numerous papers exploring bio-inspired networking approaches. His recent collaborations in computer graphics include Alan Wolfe, Judith Bütepage, and Jon Valdés.

• Semantic Web
• Internet of Things
• Ontology Reasoning
• +5 more

Floriano Scioscia is a researcher at the Polytechnic University of Bari, Department of Electrical Engineering and Information Technology, with extensive contributions to the Semantic Web, Internet of Things, and knowledge-based systems. His work focuses on developing frameworks for semantic reasoning, resource discovery, and intelligent systems in ubiquitous computing environments. His research interests span multiple domains within computer science: Semantic Web technologies and ontology reasoning Internet of Things and Cyber-Physical Systems Cloud-Edge computing architectures Knowledge representation and semantic matchmaker systems Mobile and ubiquitous computing applications Analysis of his recent publications (2023-2025) reveals a strong focus on edge-based semantic reasoning, with significant work on the Tiny-ME and Cowl frameworks for lightweight OWL reasoning on resource-constrained devices. His research has increasingly incorporated blockchain technologies into IoT systems and explored the concept of "Internet of Conscious Things" with social capabilities for smart objects. The interdisciplinary nature of his work bridges computer science with healthcare applications, particularly in clinical decision support systems. Dr. Scioscia has collaborated extensively with researchers including Michele Ruta, Eugenio Di Sciascio, Giuseppe Loseto, and Filippo Gramegna across numerous projects spanning more than 15 years of research output.

• Wireless Communications
• Signal Processing
• Embedded Systems
• +4 more

Ali Dziri is a permanent researcher at CentraleSupélec's Cedric Laboratory , focusing on wireless communications, signal processing, and embedded systems. His work spans 2004–2023 with key contributions in UWB communication, IoT networks, video/image transmission, and real-time tracking algorithms. His research interests include: Wireless Communications Signal Processing Embedded Systems Machine Learning IoT Networks Video/Image Compression Recent publications highlight trends in neural networks for channel equalization, MIMO relays for WSNs, and 5G D2D communication protocols. He has no listed scientific awards or advisees.

Jinhui WangView profile

Professor

• Artificial Intelligence
• Very-large-scale Integration (VLSI) Circuits
• Three-dimensional Integrated Circuit (3D IC) Design
• +6 more

Jinhui Wang is a Professor in the Department of Electrical and Computer Engineering at the University of South Alabama's College of Engineering. His research focuses on cutting-edge technologies in Artificial Intelligence , VLSI Circuits , and Neuromorphic Computing . Education: Postdoctoral work in VLSI Design at University of Rochester, NY, USA; Ph.D. and B.S. in Electrical Engineering from Beijing University of Technology and Hebei University, China. His work addresses 3D IC Design , Emerging Memory Systems , and Cooling Techniques for Electronic Devices , with recent publications emphasizing privacy-preserving AI hardware and intelligent memory architectures for mobile and embedded systems. Collaborative projects span applications in Wireless Sensor Networks , IoT , and UAV Electronic Subsystems .

• Computer Architecture
• Parallel Programming
• Compilers
• +6 more

Martha A. Kim is an Associate Professor in the Department of Computer Science at Columbia University's School of Engineering and Applied Science. She serves as a Member of the Data Science Institute, Center Co-Chair of the Center for Computing Systems for Data-Driven Science, and Chair of the Computer Engineering Program. Professor Kim's research focuses on computer architecture with particular emphasis on the hardware-software interface. Her work develops tools and designs that help computer systems operate efficiently and intuitively, including database accelerators for energy-efficient queries, techniques for optimizing parallel software to better utilize hardware resources, and improving the versatility of specialized hardware accelerators. She leads the ARCADE Lab where she conducts research in computer architecture, parallel programming, compilers, and low-power computing. Her publication record shows consistent output at top-tier conferences including ASPLOS, MICRO, MEMOCODE, ISLPED, DAC, DaMoN, CC, and CGO, with recent work spanning video transcoding in the cloud, pipelined dataflow circuits, thermal monitoring, and database acceleration. Professor Kim has received several prestigious awards: 2013 Rodriguez Family Award 2015 Edward and Carole Kim Faculty Involvement Award 2013 NSF CAREER award 2016 Anita Borg Early Career Award She currently advises three doctoral students (Martha Barker, Thomas Repetti, and Andrea Lottarini) and has previously graduated PhD students Melanie Kambadur (2016) and Lisa Wu (2014). Her research is supported by C-FAR, DARPA, Google, Intel, and NSF. Professor Kim teaches Fundamentals of Computer Systems, Computer Architecture, and Principles and Practice of Parallel Programming courses at Columbia University. The ARCADE Lab provides opportunities for students to work on cutting-edge research in hardware-software interface optimization, with applications in energy efficiency, database acceleration, and parallel computing systems.