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Dale LawrenceView profile

Professor

• Astrodynamics
• Satellite Navigation Systems
• Autonomous Systems
• +10 more

Dale Lawrence is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder, where he has served continuously since 1991. He directs research at the Research and Engineering Center for Unmanned Vehicles (RECUV), focusing on astrodynamics, satellite navigation systems, and autonomous aerial platforms for atmospheric science. His academic credentials include: PhD in Electrical Engineering from Cornell University (1985) MS in Electrical Engineering from Cornell University (1982) BS in Electrical Engineering from Colorado State University (1980) Professor Lawrence's research spans spacecraft attitude control , vibration isolation , and adaptive control systems , with pioneering work in haptic interfaces for scientific visualization and teleoperation. His recent work emphasizes unmanned aerial systems for Arctic atmospheric research, particularly turbulence measurement and boundary layer studies using custom UAV platforms like DataHawk. This work bridges aerospace engineering with climate science through field campaigns such as MOSAiC and LAPSE-RATE. His publication record reveals a clear trajectory toward Arctic atmospheric science and UAV-based sensing , with increasing focus on turbulence dynamics, sea-ice interactions, and autonomous system validation. The work consistently integrates hardware development (sensors, UAVs) with field deployment in extreme environments. Selected honors include: Best Commercial Potential Award at IEEE Symposium on Haptic Interfaces (2004) Best Paper Presentation at American Control Conference (1994) Teaching Excellence Awards from University of Cincinnati (1990, 1991) Distinguished Publication Award from Martin Marietta Astronautics (1988) Professor Lawrence has led major field campaigns including MOSAiC and LAPSE-RATE, securing funding from NSF and DOE for projects like ERASMUS and ShUREX. His RECUV team develops specialized UAV platforms (DataHawk, HELiX) for atmospheric research, with recent work focusing on machine self-confidence for autonomous decision-making in complex environments. While student advising details aren't specified, his projects involve extensive student participation in hardware development and field operations. He maintains active leadership in Arctic atmospheric research through the DataHawk UAV program and HELiX multispectral systems, with ongoing work on gossamer propeller technology for high-altitude applications and machine self-confidence frameworks for autonomous systems.

• Evolutionary Computation
• Genetic Programming
• Robotics
• +5 more

Eric Medvet is a professor specializing in evolutionary computation, genetic programming, and robotics. He is actively involved in research areas such as neuroevolution, soft robotics, and modular robotics. His work bridges theoretical advancements in evolutionary algorithms with practical applications in robotics and AI. Roles: Conference chair for EuroGP (2020-2022), co-chair of multiple workshops and sessions. Key Research: Focus on genetic programming, embodied intelligence, and the design of adaptive robotic systems. Research Interests: His work emphasizes the development of scalable and interpretable AI systems, particularly through evolutionary methods applied to robotics. He explores topics like neuroevolution for soft robots, quality diversity algorithms, and the integration of machine learning with evolutionary computation. Publications: His recent work highlights trends in interpretable AI, modular robotics control, and evolutionary algorithms for complex systems. Notable contributions include studies on MAP-Elites, graph-based genetic programming, and the application of LLMs in automated testing. Grants & Labs: Developed frameworks like JGEA for evolutionary computation experiments. Collaborates on projects integrating evolutionary methods with real-world robotics applications.

• Control Systems
• Machine Learning
• Robotics
• +6 more

Marko Tanasković is a researcher at Singidunum University's Faculty of Informatics and Computing, specializing in control systems, robotics, and electrical engineering. He holds a PhD from ETH Zurich (2015) in Information Technology and Electrical Engineering, following degrees from University of Belgrade (BEng, 2009) and ETH Zurich (MEng, 2011). His research focuses on adaptive control systems, machine learning applications in engineering, and sensorless motor control. Key contributions include: Development of predictive algorithms for traffic systems and industrial automation Innovations in rotor orientation determination for PMSM motors Integration of AI in fraud detection and building climate control Recent work includes a 2024 study on wearable health monitoring devices and a 2022 paper on drone forensics. He has authored/co-authored over 15 peer-reviewed articles and holds patents in motor control technologies. Current affiliations include Singidunum University's Department of Electrical Engineering and Collaboration with ETH Zurich alumni networks. Active in international conferences such as Sinteza and IEEE events.

Milan BrkljačView profile

Assistant Professor

• Marketing
• Consumer Behavior
• Digital Marketing
• +4 more

Milan Brkljač is an Assistant Professor at Alfa BK University, affiliated with the Faculty of Finance, Banking and Auditing. He holds a PhD from the University of Novi Sad (2021), with research focused on marketing, consumer behavior, and sharing economy dynamics. His professional journey includes roles at NIS GAZPROM NEFT, Digipuls d.o.o., and the University of Modern Business in Belgrade. Education: BSc/MSc from University of Novi Sad (Faculty of Economics in Subotica), PhD (2021) on 'Determinants of Intentions to Use Sharing Economy Services among the Millennial Generation'. Research Interests: Marketing strategies in digital age, consumer decision-making, sharing economy, blockchain applications in agriculture, and CSR in banking. He has conducted study visits to TU Munich and DAAAM International Vienna, and holds certifications in Digital Marketing (Google Ads) and ECDL. Awards: Ministry of Education Scholarship (2008-2010), FESTO Scholarship (2018), and first prize for promotional video (2010). Active in professional communities like Serbian Marketing Association (SeMa). Grants/Advising: Multiple academic publications, involvement in employer branding and talent recruitment studies. Fluent in English and German, with piano skills from Isidor Bajić Music High School.

Maria-Luciana BlahaView profile

Assistant Professor

• Intelligent Automation
• Business Management
• Technology Adoption
• +4 more

Maria-Luciana Blaha is an Assistant Professor in Business Management and Intelligent Automation at Heriot-Watt University, affiliated with the School of Social Sciences and Edinburgh Business School. She leads the Intelligent Automation Systems (IAS) Lab and coordinates the Graduate Apprenticeships in Business Management Year 1 program. With a PhD from the University of Aberdeen and extensive professional experience across sectors, her research focuses on AI, RPA, chatbots, and their impact on organizational behavior. She was awarded the 2023 Early Career Researcher of the Year by the School of Social Sciences. Education : PhD in Business Management, University of Aberdeen (Elphinstone Scholarship, British Federation of Women Graduates Bursary) Research Interests : Blaha investigates Intelligent Automation systems, posthumanism, organizational behavior, and ethical AI adoption. Her work bridges science/technology studies, business management, and computing science. Current projects include automation in Ghana/UK manufacturing, ethical AI frameworks for healthcare, and generative AI in HR. Grants & Projects (2025-): TransiT: Decarbonisation via Digital Twinning (EPSRC) Lighthouse Project: SME Manufacturing Audit (Innovate UK) Local Authority AI Readiness Review (Interface Scotland) 2024 Projects : Thermo Fisher/National Robotarium AKTP (Innovate UK) Extend Robotics Feasibility Study (Interface Scotland) Media & Outreach : Blaha contributes to Scottish AI Alliance initiatives, speaks globally on AI/automation, and engages in public lectures like the 'Age of AI' series. Her media features include Financial Times and pandemic-era fact-checking insights. Labs & Teams : Leads the IAS Lab, collaborates with National Robotarium, and oversees AKT projects with industry partners.

Urs HengartnerView profile

Associate Professor

• Information Privacy
• Computer Security
• Network Security
• +3 more

Urs Hengartner is an Associate Professor at the Department of Computer Science, University of Waterloo. His research focuses on information privacy, computer and network security with emphasis on smartphones, IoT, and machine learning-based authentication systems. He holds a Ph.D. (2005) and M.Sc. (2003) from Carnegie Mellon University, and a Diploma from ETH Zürich (1997). His work spans Adaptive security attacks on ML systems Implicit user authentication frameworks Privacy-preserving technologies for location and genomic data Secure authentication systems resilient to voice/spoofing attacks Recent publication trends show a strong focus on adversarial attack detection (e.g., watermarking evasion, diffusion model attacks) and context-aware authentication systems . His frameworks like MRAAC and SHRIMPS address multi-stage authentication challenges in mobile ecosystems. Key contributions include frameworks for evaluating multi-user authentication systems (SHRIMPS), risk-aware access control (MRAAC), and novel defense strategies against collaborative robot traffic fingerprinting. His work bridges security mechanisms with user-centric design principles.

Colin ConradView profile

Associate Professor

• Artificial Intelligence
• Cognitive Neuroscience
• Educational Technology
• +3 more

Colin Conrad is an Associate Professor of Digital Innovation at Dalhousie University’s Faculty of Management. He also serves as Co-Director of the College of Digital Transformation and Principal of the Cognition and Organizations Research Group. His research focuses on interdisciplinary projects spanning information systems, computer science, and cognitive neuroscience, with particular emphasis on human factors in educational technology and artificial intelligence. His work is supported by NSERC, CFI, and Mitacs. Research interests include mind wandering measurement via EEG, AI ethics, human-AI interaction, and neurophysiological impacts of digital technologies. He explores topics such as virtual teacher perception, privacy calculus in AI systems, and cognitive state awareness in human-AI collaboration. His recent studies address challenges in remote work ergonomics, digital transformation during crises, and legal/ethical aspects of brain-computer interfaces. His publications analyze behavioral responses to cybersecurity notifications, virtual influencer trust dynamics, and adaptive online learning systems. Current projects investigate the cognitive effects of AI-generated media and the neurophysiological foundations of attention in digital environments. Colin’s research is funded through grants emphasizing interdisciplinary innovation and societal impact. He collaborates with industry partners to translate neuroscientific insights into practical applications in education and workplace design.

Babar JamilView profile

Lecturer

• Robotics
• Control Engineering
• Sensors
• +5 more

Dr. Babar Jamil is a Lecturer in Electrical Engineering at the University of York's School of Physics, Engineering and Technology. His expertise spans robotics, sensors, control engineering, and mechanism design. He holds a Ph.D. from Hanyang University (South Korea) and conducted postdoctoral research at Sungkyunkwan University, where he also served as a Research Professor. His current research focuses on safe human-robot collaboration systems, novel control algorithms for robotic systems, and smart structures through sensor integration. Education: Ph.D. in Electrical and Electronic Engineering, Hanyang University, South Korea Postdoctoral Researcher, Sungkyunkwan University, South Korea Research Interests: Developing hybrid robotic manipulators combining soft and rigid actuation Designing proprioceptive sensors for extreme environments Advances in pneumatic artificial muscles and soft actuators Integration of machine learning in robotics control systems Publications: Recent work emphasizes soft robotics actuators, sensor design, and human-robot interface innovations. Key themes include energy-efficient actuation, sensorized robotic fingers, and pumpless pneumatic systems. Labs/Teams: Leads robotics research at York, focusing on collaborative robotics and sensor-actuator integration. Maintains an active research group through his UoY Robotics website .

• Robotics
• Automation
• Digital Twin Technology
• +3 more

Dr. Andrew Hamilton serves as the Data Analytics Lead within the School of Computing Science at the University of Glasgow. His research focuses on advanced robotics and automation, particularly in developing frameworks for robotic arm teleoperation leveraging digital twin technology. He has contributed to interdisciplinary projects addressing challenges in modular system design and real-time control. Key research interests include digital twin applications, teleoperation systems, and automation in engineering contexts. He has presented work at leading conferences such as the 2024 IEEE International Conference on Robotics and Automation (ICRA), highlighting innovations in plug-and-play robotic frameworks. No scientific awards or grants are explicitly listed in the provided text. His academic contributions are centered on advancing robotic systems through collaborative research.

Ceyhun EksinView profile

Associate Professor

• Networked Multi-Agent Systems
• Game Theory
• Distributed Optimization
• +5 more

Ceyhun Eksin is an Associate Professor and the Corrie and Jim Furber '64 Faculty Fellow at the Texas A&M University Industrial & Systems Engineering Department. He is also affiliated with the Electrical & Computer Engineering Department. His research focuses on networked multi-agent systems, integrating game theory, distributed optimization, and control theory to address challenges in autonomous systems, energy systems, and epidemiological modeling. Education: Ph.D. in Electrical and Systems Engineering from the University of Pennsylvania (2015), followed by a postdoctoral fellowship at Georgia Institute of Technology (hosted by Professors Jeff S. Shamma and Joshua S. Weitz). Research interests emphasize the design and analysis of complex systems, including distributed algorithms for autonomous teams, epidemic dynamics influenced by behavioral changes, and optimization in smart grids. His work bridges theoretical foundations with practical applications in cyber-physical systems and social networks. Notable awards include the NSF CAREER Award (2023) and TAMIDS Career Initiation Fellowship (2023). His research has been published in top journals like Proceedings of the National Academy of Sciences and IEEE Transactions . Lab activities center on the NetMaS (Networked Multiagent Systems) Lab, focusing on theoretical and algorithmic innovations for multi-agent systems. Collaborations span academia and industry, addressing real-world challenges in energy, healthcare, and robotics.

Shashi Raj PandeyView profile

Assistant Professor

• Network Economics
• Game Theory
• Wireless Networks
• +7 more

Shashi Raj Pandey serves as Assistant Professor in the Department of Electronic Systems at Aalborg University's Technical Faculty of IT and Design, Denmark. His research is anchored in the Connectivity section and Connectivity Classique-Center for Classical Communication in the Quantum Era, with office location at Fredrik Bajers Vej 7C, C1-111, 9220 Aalborg Øst. His core research spans Network Economics, Game Theory, and Wireless Networks, with specialization in Decentralized Machine Learning and Semantic/Goal-oriented Communications. Current work integrates Digital Twin technologies with 6G systems for industrial automation and earth observation, emphasizing resource-efficient protocols for Internet of Things and edge intelligence applications. Recent publications (2024-2025) reveal a clear trajectory toward AI-6G convergence, featuring semantic communications for satellite imaging, game-theoretic network resource allocation, and digital twin implementations for autonomous systems. Key themes include communication efficiency in distributed learning and physical-digital world integration. Notable recognitions include: Best PhD Thesis Nominee (2021) Excellent Paper at Korea Software Congress, KIISE 2021 Student Best Paper Award at APNOMS 2019 Best Paper at Korea Software Congress, KIISE, 2018 Brain Korea 21st Century Plus Fellowship Academic service includes external PhD examination for EU SNS projects and peer review for premier conferences (AAAI, ICLR, ICML). His lab work within the Connectivity Classique-Center explores classical communication frameworks applicable to quantum-era networks, with focus on semantic information theory and decentralized network architectures.

Juan Jose AcostaView profile

Associate Professor

• Genetics
• Tree Breeding
• Forest Genomics
• +3 more

Dr. Juan Jose Acosta is an Associate Professor at North Carolina State University's Department of Forestry and Environmental Resources , where he also serves as Director of Camcore . His work focuses on genetic improvement of forest trees through advanced genomic and quantitative genetic methods. Expertise in Tree Genetics and Genomic Selection Key research in Pine and Acacia Hybridization Pioneer in Robotic Pollination Technologies Recent publications analyze: Genomic prediction in Pinus taeda trials Pedigree reconstruction in Acacia crassicarpa Wood density phenotyping innovations Hybrid dynamics across multiple genera

A. Stephen MorseView profile

Professor

• Control Systems
• Network Science
• Multi-Agent Systems
• +5 more

A. Stephen Morse is the Dudley Professor of Electrical & Computer Engineering at Yale University. He has been affiliated with Yale since 1970 and holds memberships in prestigious organizations such as the National Academy of Engineering and the Connecticut Academy of Science and Engineering. His research focuses on control systems, including hybrid systems, network science, multi-agent coordination, and sensor networks. He has received numerous awards, including the Bellman Control Heritage Award (2013) and the IEEE Technical Field Award (1999). Morse earned his BSEE from Cornell University, MS from the University of Arizona, and PhD from Purdue University. His work emphasizes logic-based switching, vision-based control, and distributed algorithms for autonomous systems. He has contributed to foundational papers on multi-agent consensus and formation control, as well as sensor network localization. Current projects include swarming dynamics and reactive control strategies for autonomous vehicles. His scientific contributions span over 200 publications, with recent work addressing distributed control algorithms, climate impact modeling, and game-theoretic network analysis. Morse advises graduate students like Ming Cao and Jia Fang, and his research group explores cutting-edge topics in systems theory and robotics.

Shakir JiffriView profile

Lecturer

• Linear and Nonlinear Structural Dynamics
• Aeroelasticity
• Active Control
• +4 more

Dr. Shakir Jiffri is a Lecturer in Aerospace Engineering at Swansea University's School of Aerospace, Civil, Electrical and Mechanical Engineering. His research focuses on Linear and Nonlinear Structural Dynamics, Aeroelasticity, and Active Control methods, particularly in flutter suppression and non-smooth systems. He has contributed to experimental studies on feedback linearisation and nonlinear control strategies, with applications in aeroelastic systems and robotics. Teaches modules including Strength of Materials, Engineering Mechanics, and Aerospace Control. Supervised PhD and MSc students in active control methodologies and inertial amplifier concepts. Research interests include: Aeroelasticity, Nonlinear Control, and Structural Dynamics. Recent work addresses composite panel optimization and vibration control in robotic systems. His publications span journals like Journal of Guidance, Control, and Dynamics and Mechanical Systems and Signal Processing, emphasizing experimental validation of control strategies.

• Control Theory
• Autonomous Systems
• Reinforcement Learning
• +3 more

Dr. Cheng-Chew Lim is a Professor in the School of Electrical and Mechanical Engineering at the University of Adelaide. He specializes in control theory, autonomous systems, and multi-agent reinforcement learning. His research focuses on trusted autonomous systems, secure cyber-physical networks, and decentralized decision-making models. He has published over 300 articles and supervised 50+ PhD and master’s students. Dr. Lim teaches courses in control systems, autonomous systems, and engineering project management. He has held editorial roles, including Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics, and is actively involved in professional associations like the IEEE Control and Aerospace Electronic Systems Joint Chapter. His current projects include physics-informed neural networks for medical imaging, secure distributed autonomous systems, and resilient formation control under cyberattacks. Dr. Lim has secured research grants from ARC and industry partnerships, emphasizing practical applications in robotics, cybersecurity, and smart systems.