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Andrew BuckView profile

Assistant Professor

• Machine Learning
• Intelligent Agents
• Autonomous Drones
• +2 more

Andrew Buck is an Assistant Research Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri . His work focuses on machine learning , intelligent agents , autonomous drones , computer vision , and 3D visualization . Education: PhD, MS, BS in Computer Engineering, and BS in Electrical Engineering from the University of Missouri Andrew Buck's research involves the development of photorealistic synthetic datasets (e.g., HiFiAerial), explainable AI frameworks for drone autonomy, and human-agent teaming dynamics (e.g., trust modeling). He has pioneered multidisciplinary simulation platforms like Mizsim for AI training and evaluation, and contributed to real-time 3D reconstruction techniques combining classical algorithms with deep learning. His work on uncertainty quantification in depth estimation and fuzzy voxel maps demonstrates his interest in probabilistic approaches to perception. A key theme in his publications is the evaluation of AI performance in partially observable environments , including applications in explosive hazard detection and cooperative game scenarios.

• Cybersecurity
• Cloud Computing
• Information Security
• +6 more

Mehmet Tahir Sandıkkaya is an Assistant Professor in the Department of Computer Engineering at Istanbul Technical University (ITU), Faculty of Computer and Informatics. He holds a Ph.D. in Computer Sciences from ITU and has been actively contributing to academia since 2002, progressing from Research Assistant to his current faculty position. He also served as a Doctoral Teaching Staff member at Institut National Polytechnique de Grenoble (Drakkar Lab) from 2018 to 2019. His educational background includes: B.Sc. in Electrical Engineering, Istanbul Technical University (1998–2002) M.Sc. in Computer Sciences (Thesis), Istanbul Technical University (2002–2006) Ph.D. in Computer Sciences, Istanbul Technical University (2006–2016) Dr. Sandıkkaya's research is centered on cybersecurity , cloud computing , information security , and cryptography . His work extends into Internet of Things (IoT) security , malicious behavior detection , and privacy-preserving systems . He employs machine learning techniques for intrusion detection, particularly in web sessions and avionic platforms. His research also addresses security challenges in e-commerce, SMEs, and national critical infrastructures. The analysis of his recent publications reveals a strong focus on practical security solutions, including lightweight authentication for IoT, DDoS detection using network features, and secure cloud architectures. His work increasingly integrates AI and cyber-physical systems for environmental monitoring and sustainable resource management. His scientific recognition includes: IEEE Member since 2001 Principal Investigator on multiple TTO and TÜBİTAK-funded research projects h-index of 8 with over 215 citations (Scopus) Dr. Sandıkkaya actively supervises students and leads significant research initiatives. He has served as Program Chair at ITU in 2018 and is the Principal Investigator (PI) on nine research projects, including "National Critical Infrastructure Cyber Attack System (SİNERJİ SALDIRI)" and "AI-Based Sustainable Basin Management via IoT" . His grants span cybersecurity, cloud design, and embedded systems, reflecting a robust research portfolio with real-world applications. He is affiliated with the Drakkar Research Lab at Institut National Polytechnique de Grenoble and leads cybersecurity research teams at ITU focusing on cloud security, IoT authentication, and avionic system protection. His lab integrates machine learning, formal methods, and system-level security engineering.

• Robotics
• Artificial Intelligence
• Human-Robot Interaction
• +14 more

Evren Dağlarlı is an Associate Professor in the Department of Computer Engineering at the Faculty of Computer and Informatics, Istanbul Technical University. He holds a Ph.D. in Control and Automation Engineering from ITU and has extensive experience in robotics, artificial intelligence, and intelligent systems. He is actively involved in research projects and has published in top-tier IEEE conferences and journals. Ph.D., Control and Automation Engineering, Istanbul Technical University (2008–2019) M.Sc., Mechatronics Engineering (Intelligent Systems and Robotics), Istanbul Technical University (2005–2007) B.Sc., Electrical Education, Marmara University (2000–2004) B.Sc., Electrical-Electronics Engineering, Ege University (2021–2023) His research focuses on robotics, artificial intelligence, human-robot interaction, cognitive neuroscience, and machine learning . He develops brain-inspired cognitive architectures and applies them to humanoid robots and autonomous systems. His work integrates deep learning, personality modeling, and explainable AI to enhance intelligent behavior in machines. Recent publications highlight a strong trend in generative AI, personality-integrated language models, UAV design, and computational cognitive modeling . His work bridges neuroscience and AI, aiming to create more adaptive, self-aware, and explainable robotic systems. He frequently collaborates with E. Aribas on topics ranging from UAVs to AI-driven personality modeling. Yenilikçilik Ödülü (Innovation Award), Istanbul Technical University, 2024 He has supervised students and co-authored multiple papers with advisees. He has participated in national and international research projects, including the Gökbörü Alemdar Savaşan İHA Projesi (2024–2025). His technical expertise includes ROS, embedded systems, real-time operating systems, and AI frameworks. He is a member of IEEE, ACM, and ASME and actively contributes to the advancement of intelligent systems through research, development, and academic mentorship.

• Nonlinear Control Systems
• Aerospace Engineering
• Flexible Wing Dynamics
• +5 more

Aditya Paranjape is an Associate Professor in the Department of Mechanical & Aerospace Engineering at Monash University, Faculty of Engineering. His research spans nonlinear control systems, aerospace dynamics, and multi-agent robotics, with applications in flexible wing control, digital twins, and resilient team coordination. Research Interests: His work focuses on nonlinear control of infinite-dimensional systems , particularly in modeling and stabilizing very flexible wings. He also investigates distributed control in robotic teams , including adversarial disruptions and communication constraints. Additionally, he applies modeling and simulation techniques to real-world problems such as climacteric fruit supply chains through digital twin frameworks. Recent Research Trends: Over the past few years, his publications reveal a growing emphasis on boundary control for aeroelastic systems , digital twin integration in logistics , and robustness of swarm behaviors under adversarial conditions. These reflect interdisciplinary efforts combining mechanical engineering, control theory, and computational modeling. Collaborations and Affiliations: He actively collaborates with researchers across institutions and contributes to international forums such as the AIAA SciTech Forum and IEEE CDC. His work aligns with UN Sustainable Development Goals, particularly in sustainable industry and innovation. Advising and Grants: While specific students and funding sources are not listed in the provided text, his extensive publication record and collaborative projects suggest active supervision and research leadership. He likely mentors graduate students in aerospace and control systems through thesis projects and joint publications. Labs and Research Teams: Though no formal lab name is mentioned, his research areas imply involvement in groups focused on aerospace dynamics, control systems, and modeling & simulation at Monash University. These teams likely engage in both theoretical development and practical implementation of control algorithms.

Alex Ferrer FerreView profile

Associate Professor

• Materials Design
• Aeronautical Engineering
• Computational Mechanics
• +4 more

Àlex Ferrer Ferre is a Serra-Hunter Associate Professor at the Department of Physics, Universitat Politècnica de Catalunya (UPC) in Barcelona, and an associate researcher at the International Center for Numerical Methods in Engineering (CIMNE). His research focuses on topology optimization, computational mechanics, and advanced material design. He holds a PhD in Computational Mechanics from UPC (2017) and has conducted postdoctoral research at the University of Oxford and École Polytechnique. Key roles include teaching courses like Flight Mechanics and leading the Swan project for topology optimization software. His work integrates academic and industrial collaborations with entities like ESA and INEGI. Research interests span multiscale design, topology optimization for additive manufacturing, and fracture mechanics. Major projects include the TopSat CubeSat chassis project (ESA-funded) and the Flexion project on flexible material design. Awards include the Marie Curie Fellowship (2019) and an Excellent Cum Laude PhD. His labs and teams collaborate globally, emphasizing open-source tools and collaborative research.

• Particle Physics
• Astroparticle Physics
• Dark Matter
• +7 more

Roberto Iuppa is an Associate Professor at the Department of Physics, University of Trento. His research focuses on particle physics, astroparticle physics, and high-energy collider experiments, with significant contributions to the ATLAS experiment at CERN's LHC. He leads studies on Higgs boson physics, dark matter candidates, and quantum chromodynamics phenomena. His work includes developing detectors like the High-Energy Particle Detector (HEPD) for space-based missions such as CSES-02, and analyzing gravitational wave astronomy via multimessenger observations. Academic roles include teaching advanced courses on particle physics, gravitational wave astronomy, and the interdisciplinary history of physics and mathematics. His experimental work emphasizes precision measurements in top quark interactions, vector boson scattering, and searches for beyond-Standard-Model particles such as vector-like leptons and magnetic monopoles. Recent projects involve analyzing 13 TeV proton-proton collision data from the LHC and advancing detector technologies for future high-luminosity runs. Key research areas: Collider physics, detector development, dark matter, and space-based astrophysics Lead responsibilities: ATLAS collaboration physics analysis, HEPD satellite instrumentation Notable contributions: Over 50 peer-reviewed articles in 2024-2025 alone, focusing on precision Higgs measurements and new physics searches His teaching integrates computational methods with physics fundamentals, preparing students for interdisciplinary work in machine learning for data analysis and quantum computing applications in physics simulations.

• Aerospace Engineering
• Robotics
• Control Systems
• +4 more

Ahmet Talha Çetin is a Researcher at the Aviation Institute of Istanbul Technical University . His work focuses on aerospace engineering, robotics, and control systems, particularly in applications involving drones, quadrotors, and satellite attitude control. He has contributed to both theoretical advancements in optimal control algorithms and practical implementations of multi-drone systems and guidance strategies. Primary Affiliation: Istanbul Technical University, Aviation Institute Research Area: Control Systems, Trajectory Optimization, Autonomous Systems Research Interests : Çetin's research spans aerospace engineering and robotics, with a focus on drone navigation , stochastic optimal control , and attitude control systems . His work addresses challenges in autonomous guidance, uncertainty minimization, and multi-drone coordination. He applies mathematical frameworks like entropy minimization and model predictive control to real-world problems in aviation and telecommunications. Publication Trends : Over 2023-2025, Çetin's research output demonstrates a strong emphasis on drone engineering , quadrotor dynamics , and control optimization . His contributions include both theoretical advancements in non-Gaussian uncertainty handling and practical implementations like cold gas thruster systems for satellites. Collaborations with researchers like E. Koyuncu and İ. Özkol are prominent across his publications. Advising & Collaborations : No explicit student advising information is available. He collaborates extensively with Istanbul Technical University's aerospace engineering team on projects involving drone systems, satellite control, and network virtualization technologies.

Dustin RichmondView profile

Assistant Professor

• Computer Architecture
• FPGA
• RISC-V
• +4 more

Dustin Richmond is an Assistant Professor in the Department of Computer Science and Engineering at the Baskin School of Engineering, University of California, Santa Cruz. His work focuses on secure, usable hardware systems with applications in FPGA acceleration, RISC-V architectures, and side-channel analysis. Email: drichmond@ucsc Office: Engineering 2, Room 221 Research Interests: Secure hardware systems FPGA-based computing Manycore processors High-level synthesis Side-channel vulnerabilities Notable Article Trends: Recent publications emphasize cloud FPGA security, manycore design optimization, and hardware security. Earlier works focus on RISC-V acceleration, OpenCL compiler enhancements, and heterogeneous computing systems. GitHub Contributions: Maintains open-source projects like RISC-V-On-PYNQ and PYNQ-HLS, addressing FPGA programming challenges and RISC-V integration. Active in resolving community issues related to toolchain compatibility and hardware-software interfaces.

• Machine Learning
• Metabolomics
• Chemical Sensor Systems
• +7 more

Santiago Marco Colás is a Full Professor in the Department of Electronics and Biomedical Engineering at the University of Barcelona and leads the Signal and Information Processing for Sensing Systems group at IBEC. His research focuses on advanced computational methods for chemical sensor arrays, gas chromatography-ion mobility spectrometry (GC-IMS), mass spectrometry, and NMR data analysis in metabolomics, biomedical diagnostics, and environmental monitoring. Developed open-source tools like GCIMS R-package for untargeted IMS data analysis Innovated drone-based chemical sensing systems for indoor/outdoor odor mapping Created IoT-enabled respiratory impedance devices with mobile app control Explored machine olfaction algorithms for biomarker discovery in colorectal cancer and COPD Investigated dielectric excitation methods for metal oxide semiconductor sensors His recent work addresses real-time odor quantification in wastewater plants, predictive modeling for postoperative complications, and low-cost IoT respiratory monitoring. Publications span sensor signal processing, calibration transfer techniques, and collaborative STEM education initiatives.

Paulo FerreiraView profile

Professor

• distributed systems
• programming of mobile devices
• concurrency / parallelism / replication
• +4 more

Paulo Ferreira is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. He specializes in programming technology with a focus on distributed systems, mobile computing, and fog/cloud computing. His research interests include: Distributed systems and programming of mobile devices Concurrency, parallelism, and replication Fog and cloud computing architectures Software security and adaptability Algorithms for garbage collection Professor Ferreira teaches "Programming Ubiquitous Things" (IN5600) in Spring and "Fog and Cloud Computing" (IN5700) in Autumn. His recent publications show a strong focus on transport mode detection using edge and fog computing, garbage collection optimization, and mobile application development. His work demonstrates trends toward more efficient resource utilization in distributed environments, particularly in mobile and edge contexts. He has received numerous awards including: Best Prize for Master Thesis supervision (Norsk Regnesentrals pris, Dec. 2023) Two Best Paper Awards at the ACM/IFIP/Usenix Middleware Conference Recognition of Service Award from ACM "Excellent teaching" awards at the University of Lisbon (2010/2011 and 2013/14) Professor Ferreira currently supervises PhD students Mahdieh Kamalian (transport mode detection) and Lyla Naghipour Vijouyeh (fog emulator development). He has led more than 15 research projects, served as an expert for the European Union for assessment of projects proposals under the 7th Framework Program, and serves on various program committees (e.g. Middleware, ICDCS, DAIS, etc.). He is a senior member of ACM and IEEE, serves on the editorial board of the Springer Journal of Internet Services and Applications, and is a member of the Steering Committee of EuroSys (ACM European Chapter of the Special Interest Group on Operating Systems).

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Joao Pedro Leal Abalada de Matos Carvalho is a researcher at Lusofona University 's School of Communication, Architecture, Arts and Technologies , focusing on Artificial Intelligence, Machine Learning, and Unmanned Aerial Vehicle systems. He contributes to projects like ANTIDOTE (AI Attack & Defense) and REMARKABLE (Rural Environmental Monitoring). Active in AI-driven environmental monitoring and cyber-physical systems Collaborates with Horizon Europe and Marie Skłodowska-Curie Actions Key research areas: Deep Learning, Federated Learning, High-Energy Physics His work involves LoRaWAN engineering , satellite data processing , and hydroelectric forecasting models , with 55 scientific publications and 382 h-index citations. Current collaborations span Europe and Brazil , with active projects in smart healthcare , AI literacy , and radiation-hardened electronics for CERN experiments.

• Robotics
• Mechatronic System Design
• Computer Aided Design and Manufacturing
• +1 more

Cüneyd DEMİR is a full-time Lecturer at Ahi Evran University's Mucur Vocational School, Department of Computer Technologies. He has held this position since 2019 and was promoted to Doktor Öğretim Görevlisi (Lecturer with PhD) in 2024. His administrative roles include Department Head (2021-2023), Vice Director of the Vocational School (2021-present), and membership in university committees (Quality Board, Management Council). He holds a PhD in Industrial Design Engineering from Gazi University (2020-2024), an MSc in Defense Technologies from Kırıkkale University (2015-2017), an MSc in Occupational Health and Safety from Aksaray University (2019), and a BSc in Mechatronic Engineering from Gaziosmanpaşa University (2011-2015). His research focuses on Robotics , Mechatronic System Design , Computer-Aided Design/Manufacturing (CAD/CAM) , and Artificial Intelligence , with emphasis on unmanned ground vehicles (UGVs), defense systems, renewable energy integration, and AI-driven design methodologies. Publications primarily explore UGV design using machine learning, solar-powered autonomous systems, and material science for robotics. Recent works demonstrate strong trends in AI/neural network applications for defense technology and systematic design processes. He contributed to the TÜBA/TÜBİTAK-supported project: "Güneş Enerjisi İle Uçuş Süresi Artırılmış Otonom Model Uçak" (Solar-Powered Autonomous Model Aircraft with Extended Flight Duration, 2014-2015) as a researcher.

Nicholas BertozziView profile

Adjunct Professor

• Robotics Education
• Engineering Pedagogy
• Active Learning
• +5 more

Nicholas Bertozzi is an Adjunct Professor in the Robotics Engineering Department at Worcester Polytechnic Institute (WPI), with a career spanning decades in engineering education and program development. Previously, he served as Dean of the School of Engineering and Computer Science at Daniel Webster College (DWC) from 2009 to 2015, where he played a pivotal role in transforming the engineering curriculum through the CDIO (Conceive-Design-Implement-Operate) framework. BS, Northeastern University (1977) MS, Northeastern University (1982) His research focuses on Active Learning , Flipped Classroom methodologies, and Program Assessment , emphasizing the integration of hands-on and collaborative learning experiences. He pioneered the application of CDIO principles in robotics education, particularly through his involvement with FIRST and VEX Robotics competitions, which inspired innovative approaches to undergraduate engineering programs. The articles in his scholarly work reveal a consistent emphasis on leveraging technology-driven educational tools to enhance student outcomes. His research spans Engineering Education , Robotics , and Medical Engineering , with sub-fields including CDIO Initiative , Medical Robotics , and Automated Assessment . These works highlight his commitment to bridging practical design challenges with pedagogical innovation. At WPI, Bertozzi continues to mentor undergraduate students in conference participation and the creation of flipped classroom learning modules with automated assessment. His collaborations with institutions like DWC and his judging roles at robotics events underscore his dedication to advancing engineering education through real-world applications and partnerships.

Jerome JouffroyView profile

Professor

• Control Systems Engineering
• Robotics
• Autonomous Vehicles
• +3 more

Professor Jerome Jouffroy is affiliated with the University of Southern Denmark under the Faculty of Engineering and Science , specializing in Mechanical and Electrical Engineering . His work bridges theoretical control systems research with practical applications in robotics, marine engineering, and mechatronics. Research Focus: Control systems design, autonomous vehicles, marine stabilization, and 3D-printed mechatronics. Collaborations: Active in international networks, particularly in drone cooperative control and marine systems. Projects: Supervised research on drone load handling and energy-efficient UAVs. His publications highlight advancements in quadrotor control , modulating function methods , and marine vessel stabilization . Recent work explores tilt-rotor energy efficiency and cooperative drone systems. Despite extensive media engagement (e.g., defense industry AI applications, offshore wind drone servicing), no formal scientific awards are listed. Teaching includes Control Systems and interdisciplinary team projects.

Nicolaj Haarhøj MalleView profile

Assistant Professor

• Aerial Robotics
• Unmanned Aerial Vehicles (UAVs)
• Power-line Maintenance and Inspection
• +7 more

Nicolaj Haarhøj Malle is an Assistant Professor at the University of Southern Denmark’s Institute of Mechanical and Electrical Engineering and a member of the SDU Digital and High-Frequency Electronics group. He earned his PhD in Robotics in November 2023 with a dissertation on autonomous power-line perception and continues as a post-doctoral researcher until July 2025. Education PhD in Robotics, University of Southern Denmark (2020–2023) Post-doctoral Researcher in Aerial Robotics for Power-line Maintenance, University of Southern Denmark (2023–2025) Research Interests Malle’s work lies at the intersection of aerial robotics, power-line engineering, and embedded intelligence. He develops fully autonomous drones capable of landing on live overhead cables to recharge, inspect, and maintain critical infrastructure. His research integrates mm-wave radar sensing , computer vision , FPGA-accelerated perception , and machine learning to achieve robust navigation in GPS-denied, high-voltage environments. He also pioneers open-source hardware-software architectures for rapid prototyping of safety-critical drone swarms. Scientific Awards & Recognition Although no formal awards are listed, Malle’s work has received extensive national press coverage, including features in Information , DR Forskerfesten PhD Cup , and international tech media highlighting his “vampire drone” concept. Grants & Projects EU H2020 Drones4Safety (2020-2023) – PhD student participant EU H2020 Aerial Core (2019-2023) – PhD student participant InnoExplorer AIR-Ops (2023-2024) – Project participant Spin-outs Denmark OnGrid Aerial Systems (2024-2025) – Project participant Laboratories & Collaborations Malle collaborates closely with the SDU UAS Center and conducts experimental flights at dedicated drone test sites. He maintains an international network via visiting research stays (University of Zürich, Oct–Dec 2022) and active IEEE membership.