Daniel J. Krofcheck is an Adjunct Assistant Professor in the Department of Biology at The University of New Mexico (UNM). His work focuses on integrating multiple data streams in complex systems through interdisciplinary collaboration. Education: Ph.D. in Biology from UNM (2014) Research Expertise: Combines ground-based observations, remote sensing, and computational models to study complex systems. Specializes in autonomous system design, image processing, and data analysis workflows. Interdisciplinary collaboration Data science methodologies Remote sensing technologies Ecological modeling Scientific communication for non-specialist audiences
Giuseppe Carbone is a Full Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research bridges theoretical and experimental mechanics, specializing in tribology, contact mechanics, viscoelastic materials, adhesion phenomena, and biomimetic engineering. He employs advanced numerical simulations and experimental methodologies to address complex mechanical challenges. Primary research domains include: Fundamentals of viscoelastic contact mechanics and friction dynamics Surface engineering for tribological optimization Biomimetic approaches for material and system design Advanced lubrication systems and bearing technologies Analysis of his 15 most recent publications (2024-2025) reveals a consistent focus on viscoelastic material behavior under dynamic contact conditions. Key trends include: Integration of numerical and experimental techniques for contact mechanics Innovations in adhesion/friction modeling for rough surfaces Applications in robotics, automotive systems, and bio-inspired engineering Development of novel computational methods for tribological systems
Muhammed Orkun Ögücü serves as an Assistant Professor in the Department of Aeronautics and Astronautics Engineering at Gaziantep University's Faculty of Aeronautics and Astronautics since 2018. He maintains office hours on Tuesdays from 10:00-14:00 and teaches advanced courses in control systems and robotics. His academic credentials include: Doctorate in Electrical and Electronics Engineering from Middle East Technical University (2007-2014) Master's in Control and Automation Engineering from Istanbul Technical University (2004-2006) Bachelor's in Electrical Engineering from Istanbul Technical University (1999-2004) Dr. Ögücü's research centers on Control Theory and Applications, Robotics, Electrical and Electronics Engineering, and Circuits and Systems Theory. His work bridges theoretical control methodologies with practical aerospace and robotics implementations, particularly in optimal control frameworks and aerial robotics systems. His publication history reveals consistent contributions to control systems engineering, with emphasis on aerodynamic optimization, mobile platform stabilization, and robotic component design. The research trajectory demonstrates strong interdisciplinary integration between electrical engineering principles and aerospace applications, particularly through computational methods like genetic algorithms and mathematical modeling. No scientific awards are documented in the provided materials. Administrative records indicate Dr. Ögücü served as Head of Department from 2018-2019, but no student advisement or grant activities are specified. Prior to academia, he developed control systems for observation-class submarines as an R&D Engineer at Marine Systems Technologies (DESISTEK) Ltd. Co. (2015-2016), focusing on autonomous behavior implementation.
Dr. Saikat Chakrabarti is an electrical engineering researcher affiliated with Queensland University of Technology and associated with the School of Electrical Engineering & Robotics under the Faculty of Engineering . His work focuses on power systems , smart grids , and voltage stability , with significant contributions to PMU integration , microgrid control , and distributed generation . Using techniques like binary particle swarm optimization and WLS state estimation , he advanced grid observability and reliability-driven network reconfiguration . Key Research Areas : Power system state estimation, PMU current phasor measurements, voltage stability monitoring with AI, smart grid technologies Collaborations : Gerard Ledwich, Arindam Ghosh, Elias Kyriakides, Vladimir Terzija His publications from 2004–2013 demonstrate sustained expertise in renewable energy integration , grid-connected hybrid systems , and advanced measurement technologies . While no formal awards or students are mentioned in the provided data, his work remains foundational for modern smart grid solutions and power system optimization research.
Amaël Arguel is an Associate Professor of Cognitive Psychology and Ergonomics at Université Toulouse - Jean Jaurès, where he is affiliated with the Cognition, Languages, Ergonomics (CLLE) research laboratory. He teaches cognitive psychology, experimental methodology, statistics, epistemology, and ethics and scientific integrity, and serves as Co-head of UE503 (Cognitive Psychology, Year 3). Dr. Arguel completed his PhD in Cognitive Psychology at the University of Rennes in 2009, then worked in Australia at Macquarie University, University of New South Wales, Science of Learning Research Centre, and University of Technology Sydney before returning to France in 2019. His research focuses on cognitive processes of complex learning in computer environments, cognitive ergonomics of multimedia interfaces, the role of emotions in learning and decision-making, analysis of learning traces in digital environments (Learning Analytics), and medical informatics and online patient support. His work frequently examines epistemic emotions, particularly confusion, and how they impact learning outcomes in digital environments. Dr. Arguel has published extensively on topics related to digital learning, with recent work exploring how students evaluate video content, procedural learning in mixed reality environments, and gamification applications in transportation. His research employs both experimental and observational methods to understand how digital environments can be optimized for effective learning. Among his notable contributions are the development of methods for detecting learners' confusion through activity analytics and eye tracking, and investigations into how emotional states influence complex learning processes. Professional Experience: 2019-present: Associate Professor, Université Toulouse - Jean Jaurès 2018-2019: Research Officer, University of Technology Sydney 2014-2018: Research Associate, Macquarie University Education: 1999-2009: PhD in Experimental Psychology, University of Rennes 2
Antonio Leanza is an Assistant Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research focuses on Applied Mechanics , Vehicle Dynamics , and Robotics , with a particular emphasis on terrain estimation and autonomous navigation systems. Research Trends Recent publications highlight his work in: Vehicle-terrain interaction modeling Autonomous robotic navigation in agricultural settings Advanced sensor fusion techniques (Kalman filtering, factor graphs) Soil roughness characterization for erosion studies Model-based observers for dynamic systems Multibody system simulations His methodological work bridges mechanical engineering, computational modeling, and robotics applications, particularly in off-road and agricultural environments.
Eamon Scullion is a researcher at Northumbria University specializing in observational solar physics, image processing, and data analysis of solar atmospheric phenomena. His work bridges theoretical astrophysics and engineering applications through projects like the Autonomous Laser Inter-Satellite Gigabit Network (ALIGN) and CubeSat optical communication systems. Affiliated with institutions including the University of Oslo and Trinity College Dublin, he has led multiple high-impact space missions.
Kapal Dev is an Assistant Professor at the Department of Computer Science, Munster Technological University (MTU), Ireland, where he has been serving since 2021. He also holds the position of Funded Investigator at CONNECT, Trinity College Dublin, one of Europe's top research centers funded by Science Foundation Ireland. Previously, he was a Postdoctoral Research Fellow with the CONNECT Centre at Trinity College Dublin and worked as a 5G Junior Consultant and Engineer at Altran Italia S.p.A. in Milan, Italy. Dr. Dev's research focuses on Wireless Networks, Security and Privacy, Agentic AI, and Industry 5.0 applications. His work centers on designing effective and efficient communication network protocols for 5G and 6G networks, with emphasis on computational complexity reduction and energy efficiency improvements. His research also addresses data and model privacy preservation, which is increasingly critical with the proliferation of AI services. His recent publications demonstrate strong trends in next-generation wireless networks, particularly 6G systems, UAV communications, federated learning, quantum networking, and AI security applications. His work bridges theoretical innovation with practical implementations for industry 4.0/5.0 applications. Dr. Dev has received numerous prestigious awards including the IEEE ComSoc EMEA Outstanding Young Researcher 2022, The Tom Brazil Excellence in Research Award 2023, and membership in the Global Young Academy (GYA) 2024 (top 45 researchers worldwide). He has also been recognized with the Best workshop Paper award at IEEE WCNC 2024 and the IEEE CTSoc CCN TC Outstanding Service Award 2024. IEEE ComSoc EMEA Outstanding Young Researcher 2022 The Tom Brazil Excellence in Research Award 2023 Global Young Academy (GYA) 2024 membership Best workshop Paper award at IEEE WCNC 2024 IEEE CTSoc CCN TC Outstanding Service Award 2024 2022 Irish Research Council Research Ally Prize Dr. Dev has supervised more than 25 master's and PhD students and secured over €1.5 million in research funding as Principal Investigator for Horizon Europe MSCA Staff exchange, Erasmus+ International Credit Mobility, and Capacity Building for Higher Education projects. He actively contributes to standardization efforts as a working group member of P1954 and serves as founding chair of the IEEE ComSoc special interest group on Industrial Communication Networks. His editorial service spans numerous high-impact journals including IEEE Transactions on Communications and Nature Scientific Reports.
Gianluca Bianchin is an Assistant Professor in the Department of Mathematical Engineering at the University of Louvain (UCLouvain), Belgium, and a member of the ICTEAM Institute. He earned his Ph.D. in Mechanical Engineering from the University of California Riverside (2020) and holds M.Sc. and B.Sc. degrees in Controls and Information Engineering from the University of Padua (2014, 2012). Prior roles include Postdoctoral Scholar at the University of Colorado Boulder (2020-2022) and visiting researcher at Bosch Research and Pacific Northwest National Laboratory. Education: Ph.D., Mechanical Engineering, University of California Riverside (2020) M.Sc., Controls Engineering, University of Padua (2014) B.Sc., Information Engineering, University of Padua (2012) His research focuses on control theory , optimization algorithms , and their applications to transportation networks , energy systems , and cyber-physical security . Notable projects include the RoboRing robotic platform for educational and research purposes and the SIDDARTA initiative for sustainable data-driven control methods. He has secured competitive grants such as the WEL-T Investigator Programme Grant (2024) and IEEE TCNS Best Paper Award (2023). Current teaching includes courses on linear control, stochastic processes, and system identification.
Hella Ponsar is a Senior Researcher at the Institute for Software & Systems Engineering , Faculty of Applied Computer Science, University of Augsburg. Her work focuses on self-organizing software systems, testing adaptive systems, and applications in robotics and Industry 4.0. Research Interests: She investigates methods to prevent aging in software systems, systematic design of self-organizing systems, testing strategies for systems with unpredictable behavior, and ensemble programming for multipotent systems. Key projects include COMBO, TeSOS, and SAVE ORCA. Publications Overview: Her research spans self-organizing production cells, decentralized coordination, deadlock avoidance, and formal verification. Keywords include Robotics, Software Engineering, Adaptive Systems, and Trustworthy Systems. Scientific Awards: Award of the Swabian Economy 2012 (IHK Schwaben)
Vincent Jacquemet is an Associate Professor in the Department of Pharmacology and Physiology at the University of Montreal's Faculty of Medicine. His research laboratory is located at the Research Center of the Hôpital du Sacré-Coeur de Montréal. He is also a member of the Institute of Biomedical Engineering (IGB, UdeM), the Centre for Applied Mathematics in Bioscience and Medicine (CAMBAM, McGill), and the Groupe de Recherche en Sciences et Technologies Biomedicales (GRSTB, Polytechnique Montreal). Born in Sion, Switzerland Master degree in Physics (2000) from Swiss Federal Institute of Technology, Lausanne (EPFL) Ph.D. in Signal Processing (2004) from EPFL under J.-M. Vesin and M. Kunt Post-doctoral research at EPFL/Lausanne University Hospital and Duke University Dr. Jacquemet's research focuses on cardiac electrophysiology, neurocardiology, biophysical modeling, complex dynamical systems, computer simulation and signal processing. His work combines integrative biophysical modeling and signal processing techniques to improve diagnostic interpretation of cardiac bioelectric signals. Specific research themes include modeling atrial electrophysiology and arrhythmias, ECG signal processing, and multichannel recordings of the intrinsic cardiac nervous system. His laboratory develops three-dimensional virtual models of the human atria based on anatomical, histological and electrophysiological data, and creates patient-specific approaches to estimate and monitor the rate-corrected QT interval. Analysis of Dr. Jacquemet's recent publications reveals a strong focus on computational modeling of cardiac electrophysiology, particularly atrial fibrillation mechanisms and diagnostics. His work integrates experimental data with sophisticated computer simulations to bridge the gap between clinical observations and underlying cardiac pathology. Recent publications show expanding applications to pediatric oncology survivors, examining cardiac electrical abnormalities following cancer treatment, demonstrating the translational impact of his research. Research scholar Junior 1 from Fonds de Recherche du Quebec en Sante (FRSQ) Research scholar Junior 2 from Fonds de Recherche du Quebec en Sante (FRSQ) Dr. Jacquemet has advised numerous graduate students and postdoctoral researchers, with current doctoral and master's students working on electrophysiological modeling of atrial arrhythmias, neural control of cardiac function, and ECG signal processing. His research is conducted in collaboration with multiple institutions including Hôpital du Sacré-Coeur, East Tennessee State University, and the Lausanne Heart Group. His laboratory is equipped with office space for students, desktop workstations, and access to Linux clusters at RQCHP for high-performance computing needs.
Matej Kristan is a Full Professor at the Faculty of Computer and Information Science , University of Ljubljana, where he serves as Vice Chair of the Department of Artificial Intelligence . He leads the Visual Object Tracking (VOT) Initiative , presides over the IAPR Slovenian Pattern Recognition Society , and acts as Associate Editor for IJCV . PhD from Faculty of Electrical Engineering, UL (2008) Co-organized 13+ workshops/conferences Research Interests focus on: Visual Object Tracking : Long-term re-detection, transparent object tracking, segmentation-based methods Autonomous Boats : Obstacle detection, sensor fusion, maritime navigation Physics-Informed Deep Learning : Sea level forecasting (HIDRA models), climate prediction Surface Defect Detection : Real-time deep architectures for cracks/dents Scientific Excellence : 26 Research Excellence Awards (Slovenian Research Agency) 10 Teaching Excellence Awards (UL/FRI) Best Paper Awards: ISPA2015, BMVC2022, Pattern Recognition Journal 2024 Student Mentorship : Supervised 8 PhD students including Alan Lukežič (summa cum laude 2021), Domen Tabernik , and Peter Uršič . His students have won 23 awards including multiple Prešeren Awards and Uroš Seljak distinctions. Laboratory Involvement : Key member of the Visual Cognitive Systems Laboratory , contributing to multimodal perception systems for maritime robotics, educational robotics platforms, and advanced deep learning architectures.
Peter Nicholl is a Senior Lecturer in the School of Computing at Ulster University, Belfast campus, with research activities spanning Human Activity Recognition, satellite data analysis, and healthcare informatics. His work bridges computer science with practical applications in environmental monitoring and medical domains. His research focuses on: Developing quality assessment tools for Human Activity Recognition datasets Applying EOF and Principal Component Analysis to Swarm satellite data for earthquake prediction Creating semantic enrichment methods for unstructured data Exploring autonomic computing and synthetic data generation techniques Implementing Explainable AI for healthcare outcome improvement Analysis of his recent publications (2020-2025) reveals a strategic shift toward healthcare applications of AI while maintaining his expertise in satellite data analysis. His work demonstrates strong interdisciplinary collaboration, particularly with researchers in healthcare and environmental science fields. His notable achievements include: Best Paper Award at ICAS 2025 for synthetic data generation research Distinguished Learning Support Fellowship (Team Award) in 2006 Dr. Nicholl has secured research funding through projects including the KTP Programme with Datactics Limited (2019-2021) and the Connected Health Living Lab (2018). With an h-index of 6 and 164 citations, his research contributes to UN Sustainable Development Goals related to good health, industry innovation, and climate action.
Dr. Praveen Tammana is an Assistant Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Hyderabad , where he leads the NetX lab focusing on systems, networks, and security research. He completed his PhD from University of Edinburgh (2013-2018) and holds a Masters from IIT Madras (2009-2011). Education: Ph.D in Computer Science, University of Edinburgh, UK (2013-2018) Masters in Computer Science, IIT-Madras, India (2009-2011) B.E. in Computer Science, Vasavi College of Engineering, Osmania University (2005-2009) Research Focus: His research spans systems and networking , network security , software-defined networking (SDN) , machine learning for networks , wireless communication , high performance computing , and cybersecurity . His lab specializes in programmable data planes using technologies like P4, eBPF, DPUs, and PISA switches. Research Applications: His recent work demonstrates strong focus on AI infrastructure systems , including distributed AI learning and serving, networked robotics, GPU-centric packet processing, and edge cloud applications for autonomous systems. His research bridges the gap between networking infrastructure and AI workloads. Recent Publications Trend: His 2021-2025 publications show significant contributions to network security , programmable switches , edge computing , and AI systems integration . Key themes include securing traffic control systems, AI workload optimization, malicious traffic detection, and real-time applications for autonomous vehicles. Current Funding: Actively funded by industry partners including Mondee (systems for AI workloads), Marvell Technology (data acceleration offload), and ZF India (efficient load-balancer for edge applications). Lab and Team: Leads NetX lab at IIT Hyderabad, actively recruiting full-time research candidates for exciting projects in AI infrastructure, networked systems, and programmable networks. The lab focuses on building next-generation systems for AI workloads and secure network architectures.
Francesco Delli Priscoli is a Full Professor at Sapienza University of Rome's Department of Computer, Control, and Management Engineering (DIAG) within the Faculty of Engineering. He has served at the university since 1991 after completing his PhD in Systems Engineering at the same institution in 1991. His academic career includes teaching multiple advanced courses including Automatic Controls, Control of Communication and Energy Networks, and Control of Multi-Agent Autonomous Systems. Graduated with honors in Electronic Engineering from Sapienza University of Rome (1986) PhD in Systems Engineering from Sapienza University of Rome (1991) Worked at Telespazio (Rome) from 1986-1991 Professor Delli Priscoli's research focuses on multi-agent systems , intelligent learning techniques , quality of experience management , and decision support systems applied across healthcare, telecommunications, energy systems, and critical infrastructure. His work bridges theoretical control methodologies with practical implementations in real-world systems. His recent publications demonstrate a strong trend toward applying reinforcement learning and deep learning techniques to solve complex control problems across diverse domains including satellite communications, healthcare diagnostics, energy networks, and cybersecurity. The interdisciplinary nature of his work spans telecommunications, energy systems, healthcare technology, and critical infrastructure protection. Associate Editor of Control Engineering Practice Member of IFAC Technical Committee 'Networked Systems' Co-founder of CRAT research consortium Responsible for over 40 EU-funded projects (4th-8th Framework Programs and Horizon 2020) Professor Delli Priscoli has supervised numerous research projects and doctoral students through the Network Control Laboratory at Sapienza University. He has managed more than 40 EU-funded projects across multiple framework programs and ESA initiatives, supervising approximately 15 researchers, PhD students, and collaborators. His work with the CRAT consortium has led to the creation of the ARES2T spin-off company to commercialize research outcomes. His research has been supported by substantial funding from European Union programs including Horizon 2020 projects such as 5G ALLSTAR, SESAME, and 5G SOLUTIONS. He leads the Network Control Laboratory at Sapienza University of Rome, which serves as the primary research hub for his work on control systems, network management, and multi-agent systems. The laboratory collaborates extensively with major European ICT companies through EU-funded research projects. The CRAT consortium (Consorzio per la Ricerca in Automazione e Telecomunicazioni), which he co-founded, facilitates university-industry collaboration on European and national research initiatives.
