Find Academic Supervisors

Kai SalomaaView profile

Professor

• Theory of Computation
• Automata Theory
• Formal Languages
• +5 more

Kai Salomaa is a Professor and Graduate Chair in the School of Computing at Queen’s University, Canada. He holds a Ph.D. from the University of Turku (1989). His research focuses on theoretical computer science, particularly automata theory, formal languages, and their applications. Key areas include descriptional complexity, cellular automata, and quantum computing innovations. Affiliations: Queen’s University, School of Computing. Education: Ph.D. in Computer Science from the University of Turku (1989). Research Interests: Prof. Salomaa explores foundational topics like automata state complexity, nondeterminism measures, and computational models. His work bridges classical theory with modern applications in quantum computing, vehicular networks, and algorithmic resource optimization. Notable contributions include studies on input-driven pushdown automata and the integration of quantum algorithms into practical systems. Publications: His recent work spans quantum-enhanced optimization (e.g., vehicle platooning), fair matching algorithms, and complexity analysis of automata. These studies emphasize innovative solutions for computational challenges in dynamic systems and distributed networks. Grants & Labs: Leads the Formal Languages and Automata Theory Research Group, actively organizing conferences like CIAA and DCFS. His work often addresses practical applications of theoretical computer science in areas like sensor networks and metaverse resource management.

Moharram ChallengerView profile

Assistant Professor

• Cyber-physical Systems
• Multi-agent Systems
• Domain-specific Modeling Languages
• +5 more

Moharram Challenger is a tenure-track Assistant Professor in the Department of Computer Science at the University of Antwerp's Faculty of Sciences. Previously, he served as an assistant professor at Ege University (2017-2018) and as a post-doctoral researcher at the University of Antwerp (2019-2020) working on Flanders Make projects PACo and DTDesign. His academic journey includes R&D leadership roles at UNIT IT Ltd. (2012-2016), post-doctoral research at Wageningen University (2016-2017), and tenure-track faculty positions at IAU-Shabestar University (2005-2009). His research spans Cyber-physical Systems , Multi-agent Systems , and Domain-specific Modeling Languages , with recent publications focusing on quantum machine learning, digital twinning, and IoT optimization. Key projects include ITEA ModelWriter, ITEA Assume, and Flanders Make initiatives. His work demonstrates strong integration of model-driven engineering with emerging technologies like quantum computing and reinforcement learning. Challenger actively contributes to the academic community as a member of IEEE and ACM . His publication record shows consistent output across top venues, with 2025 featuring significant work in quantum-enhanced learning and CPS security. Current research emphasizes practical applications in drone energy modeling, medical diagnostics, and industrial IoT systems. His advising activities focus on cyber-physical systems and agent-based modeling, supported by grants from TUBITAK and Flanders Innovation & Entrepreneurship. Key collaborations include European ITEA projects and partnerships with industrial entities through UNIT IT Ltd. Challenger maintains active development through GitHub repositories related to code refactoring, model-driven engineering, and legacy system modernization, reflecting his commitment to practical software engineering solutions.

Bruno SICILIANOView profile

Professor

• Robotics
• Automation
• Control Systems
• +4 more

Prof. Bruno Siciliano is a full Professor of Automatics and Robotics at the University of Naples Federico II's Department of Electrical Engineering and Information Technology (DIETI). He directs the PRISMA Lab and chairs the Scientific Council of the ICAROS Center. His research focuses on robotics, automation, and human-robot interaction, with notable contributions to medical robotics, deformable object manipulation, and AI integration. He has received prestigious awards such as the 2024 IEEE RAS Pioneer Award and is a Fellow of multiple international organizations. Affiliations: Director, PRISMA Lab Chair, ICAROS Center Scientific Council Member, ACN Technical-Scientific Committee Research Interests: His work spans robotics education, surgical robotics, non-prehensile manipulation, and AI-driven robotic systems. Notably, his projects include the ERC-funded EndoTheranostics initiative for robotic colonoscopy and RoDyMan for dynamic manipulation. His contributions bridge robotics with healthcare, automation, and cognitive systems. Awards & Honors: 2024 IEEE RAS Pioneer in Robotics and Automation Award Genio Award (2024) for pioneering Italian robotics Fellowships: IFAC, IEEE RAS, and international AI associations Grants & Leadership: ERC Synergy Grant (2023, 10M€) and Advanced Grant (2013) Leadership roles in IEEE RAS and international robotics initiatives Labs & Teams: PRISMA Lab focuses on robotics paradigms like design, knowledge, and human-robot interaction, with projects in medical robotics and autonomous systems.

• Robotics
• Autonomous Systems
• Mobile Robotics
• +6 more

Markus Bader is a PostDoc Researcher at the Technische Universität Wien's Faculty of Informatics, Department of Automation Systems. He holds roles as Curriculum Coordinator for Master's programs in Automation Systems and Mobile Robotics, and serves on multiple academic committees including the Faculty Council and Curriculum Commissions for Informatics and Computer Engineering. He earned his Diplom-Ingenieur (2006) and Doctor Technica (Dr.techn.) from TU Wien. His research focuses on autonomous systems, mobile robotics, and control systems, with notable work on multi-robot coordination, path planning algorithms, and real-time navigation in human environments. Key projects include TransportBuddy (2018), exploring navigation in human spaces, and the Formula Student Driverless race car design (2017). Bader has led or contributed to funded projects such as the Austrian Research Promotion Agency (FFG)-supported Green Facade Digital Twin (2025–2027), Independent Wheel Offset Steering (2016–2017), and MPCv1 (2015–2017), emphasizing model predictive control and sensor integration. Research Highlights : Prioritized multi-robot route planning (MRRP), human motion prediction for autonomous navigation, and sensor fusion for vehicle localization. Grants : FFG-funded projects totaling over €2.5M, including autonomous vehicle coordination and mobile robotics tool development. He advises students on topics like ROS2-based route planning and independent steering systems, with 7+ supervised theses documented. Bader's work bridges theoretical robotics research with practical applications in industrial automation and autonomous vehicle systems.

• Information Systems
• Autonomous Vehicles
• Mobile Technologies
• +5 more

Niina Mallat is a Research Fellow at Aalto University's Department of Information and Service Management. Her research focuses on autonomous systems, mobile technologies, and their societal impacts, particularly in transportation and financial services. She holds a Doctoral degree (2007) and Master's degree (2001) in Business and Economics from the Helsinki School of Economics. Her work addresses themes such as ethical considerations in automation (e.g., drones, Tesla Autopilot), sustainable mobility solutions (autonomous buses), and mobile payment adoption. Key areas include consumer trust in emerging technologies, use context analysis for service acceptance, and future research agendas in information systems. Her research outputs span over two decades, with notable contributions to mobile ticketing, payment systems, and voice-activated technologies. Collaborations emphasize interdisciplinary approaches, linking technical innovation with human behavior and policy implications. Despite prolific contributions, no explicit awards are listed in the provided texts. Advising and grants details are not specified, though her extensive publication record suggests active involvement in guiding research projects. No lab or team affiliations are explicitly mentioned.

Eduardo Benitez SandovalView profile

Researcher

• Social Robotics
• Human-Robot Interaction (HRI)
• Robot Ethics
• +7 more

Dr. Eduardo Benitez Sandoval is a social robotics researcher at UNSW Sydney, affiliated with the School of Arts, Design & Architecture. His work focuses on reciprocity in Human-Robot Interaction (HRI), robots in education and healthcare, and ethical implications of social robotics. He holds a PhD in Human Interface Technology from the University of Canterbury (2016) and a Master's in Industrial Design from UNAM (2012). He has received notable awards including the 1st Place Video HRI Award (2016) and recognition as one of Mexico's 30 Promising Young Mexicans (2015). His research explores decision-making in HRI, robot design principles, and the societal impact of AI. He emphasizes 'robot ergonomics' and 'human-centric design' in creating socially meaningful machines. Current supervision includes two master’s students at UNSW's School of Computer Science and availability to mentor PhD candidates in HRI, social robotics, and interaction design. Teaching includes 'Research Foundations' and 'Human Centred Design' courses. Key research themes include addiction to robots, conflict mediation via robots, and cultural preservation through robotic agents (e.g., Robot Maori Haka project). He advocates for robots 'in the wild' testing, combining quantitative and qualitative HRI evaluation. Collaboration opportunities exist in multidisciplinary projects blending robotics, psychology, and design. His work has led to over 50 publications including designs/architecture works like the 3D-printed social robot prototype (2020). Awards reflect both academic excellence (e.g., Alfonso Caso Medal) and innovation (e.g., Startup Weekend recognition). He actively engages in public discourse via media appearances and maintains professional profiles on LinkedIn, ResearchGate, and Google Scholar.

Izabela Ewa NielsenView profile

Professor

• Artificial Intelligence
• Operations Research
• Unmanned Aerial Vehicles
• +5 more

Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.

Christof BüskensView profile

Professor

• Optimization
• Optimal Control
• Control Systems
• +5 more

Prof. Dr. Christof Büskens is a Professor of Technomathematics at the University of Bremen, leading the AG Optimierung und Optimale Steuerung (Optimization and Optimal Control Group) within the Faculty of Mathematics and Computer Science . His research focuses on Optimization, Optimal Control, and their applications in industrial and real-time systems. He holds leadership roles in interdisciplinary projects such as BESTVILLE and Safety Control Center for autonomous vehicle systems, and has contributed to maritime navigation, renewable energy management, and agricultural robotics. Büskens has supervised numerous PhD and master's students, advancing topics like autonomous exploration, neural architecture search, and trajectory optimization. His work integrates advanced numerical methods with practical applications, emphasizing real-world problem-solving in dynamic systems. Key affiliations include the ZeTeM (Center for Industrial Mathematics) and collaborations with industry partners. He has led over 20 projects since 2020, addressing challenges in autonomous systems, energy systems, and robotics. His educational contributions include courses on numerical analysis and optimal control, fostering interdisciplinary training for future researchers. Büskens' expertise bridges theoretical optimization and applied engineering, with over 100 publications and contributions to software tools like the WORHP solver.

Ingrid Bauer-HänselView profile

Assistant Professor

• Blockchain Applications
• Data Markets and Platforms
• Agile IT Management
• +3 more

Ingrid Bauer-Hänsel is an Assistant Professor of IT Management at the University of St. Gallen (HSG), affiliated with the Information Management (IWI-HSG) department. Her academic career includes roles as a Senior Technology Manager at Chage:ON (AMAG Group) and a doctoral researcher at the University of Zurich. She holds a Ph.D. in Blockchain Information Systems from the University of Zurich and a M.Sc. in Business Administration and Information Systems from Copenhagen Business School. Her research focuses on blockchain technologies, data markets, agile IT systems, and interorganizational systems design. Notable projects include the InnoSuisse Cardossier Project and studies on blockchain consortia. Bauer-Hänsel teaches courses such as Agile IT and Organization , Information Management , and Business Informatics 1 at both bachelor and master levels. She received the 2018 2nd Runner-up Best Paper Award at the ICIS conference. Her work explores socio-technical systems, tokenization, and AI-driven business models, with a particular emphasis on automotive and financial sectors. Current initiatives include designing blockchain-based data markets and exploring generative AI’s impact on knowledge work. Bauer-Hänsel’s professional background includes IT consulting at PwC, risk management roles at Danske Bank, and academic research at IBM and the Karlsruhe Institute of Technology. She actively contributes to bridging academic research with industry applications through collaborative projects and advisory roles.

Kemal TepeView profile

Professor

• Vehicular Networks
• Cognitive Radio
• Wireless Communication
• +6 more

Professor Kemal Tepe is a faculty member in the Faculty of Engineering at the University of Windsor, specializing in wireless communication and information processing. His research focuses on vehicular networks, cognitive radio systems, and smart grid technologies. He leads the Wireless Communication and Information Processing Lab , where he develops solutions for autonomous driving systems, cybersecurity in vehicle-to-infrastructure communication, and spectrum sensing techniques. In 2016, he was awarded the Medal of Excellence by the Faculty of Engineering for his dedication and service. Tepe’s work bridges theoretical advancements and practical applications, addressing challenges in autonomous systems, machine learning for anomaly detection, and IoT security. His contributions include pioneering methods for detecting adversarial behavior in vehicular networks and improving spectrum utilization through probabilistic modeling. Collaborations with industry partners like Ford Motor Company and involvement in initiatives such as the Perspective Magazine automotive research highlight his industry-relevant research. His research interests span a wide range of domains including: Autonomous vehicle safety and communication protocols Cognitive radio networks and spectrum management Machine learning for network security and anomaly detection Wireless sensor networks and energy-efficient protocols Smart grid integration and communication architectures Tepe’s publications emphasize practical implementations, such as real-time routing protocols for wireless sensor networks and hardware designs for cognitive radio systems. His lab’s innovations have been showcased in industry-relevant platforms, demonstrating the real-world impact of his work.

• Supply Chain Management
• Digital Supply Chains
• Sustainable Logistics
• +7 more

Aseem Kinra is a Professor at the School of Energy, Geoscience, Infrastructure and Society, Heriot-Watt University, United Kingdom. He is actively involved in research and supervision, currently accepting PhD students for projects focused on digital transformation and sustainability in global supply chains. His research interests lie at the intersection of digital technologies and sustainable operations, particularly in supply chain management. He investigates how digital objects, blockchain, and data-driven technologies can enable transformative change toward net-zero and regenerative supply systems. His work emphasizes decision-making, resilience, transparency, and stakeholder engagement in complex logistics environments. The recent trends in his publications reflect a strong focus on digital supply chains, sustainability transitions, and technological innovation. His research spans topics such as blockchain for trust in food supply chains, digital twins for maritime logistics, bibliometric analysis of data-driven technologies, and sustainability in humanitarian and circular supply chains. These works collectively demonstrate a commitment to leveraging digital transformation for environmental and social impact. While no specific scientific awards are mentioned, his extensive publication record in high-impact journals and conference proceedings indicates significant scholarly contribution. He has supervised or collaborated on numerous research projects, as evidenced by his co-authored works and editorial roles, including serving as a co-editor for conference proceedings. His research is aligned with multiple UN Sustainable Development Goals, particularly those related to sustainable industries, responsible consumption, climate action, and innovation. Aseem Kinra is engaged in collaborative research across international boundaries, with recent work involving partners in Europe and beyond. His projects often involve qualitative and quantitative analysis of organizational practices, policy frameworks, and technological adoption, aiming to generate actionable insights for both industry and policymakers.

• Mobility
• Emerging Technologies
• Design and Emotion
• +5 more

Associate Professor Rafael Gomez is an academic at Queensland University of Technology (QUT) within the School of Design, Faculty of Creative Industries, Education & Social Justice. He holds roles including Study Area Coordinator for Industrial Design (2018–2023), Founder and Lead of the BMW Group + QUT Design Academy, and Co-Chair of the AutoUI25 International Conference. His research focuses on mobility futures, wearable technology for Parkinson's disease, and emotional experience frameworks used by industry leaders. Education: PhD and Master of Applied Science from QUT. Professional memberships include Fellow of the Design Institute of Australia and Founder of the Design and Emotion Society Australia Chapter. Research interests span future mobility, healthcare design (e.g., non-invasive respiratory devices), and STEM education integration. Key projects include a $3.5M BMW Group collaboration and a $300,000+ project on accessible autonomous vehicles with Queensland Transport. Awards include the 2024 Good Design Award, 2023 Design Institute Merit, and multiple teaching accolades. He has secured grants like the New Colombo Plan ($330,000) for international study tours. Labs/Teams: QUT Design Lab, HEAL Lab (Healthcare Collaboration), BMW Group + QUT Design Academy. Grants: Over $3.5M industry partnerships, multiple competitive grants for study tours and research. Supervision: PhD/MPhil students in mobility, wearable tech, and design innovation.

Mohamed AtiaView profile

Associate Professor

• Sensor Fusion
• Autonomous Systems
• Embedded Systems
• +12 more

Mohamed Atia is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He conducts research in sensor fusion for autonomous systems, including robotics, autonomous vehicles, and the Internet of Things, with an emphasis on real-time embedded implementation. PhD, Electrical and Computer Engineering, Queen’s University (2013) M.Sc., Computer Systems, Ain Shams University (2006) B.S., Computer Systems, Ain Shams University (2000) His research focuses on sensor fusion , integrating data from heterogeneous sensors such as GNSS, IMU, Vision, Radar, and LiDAR under real-time constraints on embedded platforms like FPGAs and microcontrollers. He applies advanced signal processing, estimation theory, machine learning, and AI to solve challenges in state estimation, observability, fault tolerance, and concurrency management. Dr. Atia’s work has applications in intelligent vehicles, indoor navigation, mobile robotics, smart buildings, medical devices, and remote sensing . He leads a research lab focused on embedded multi-sensor systems, where students develop practical solutions for autonomous navigation and SLAM. His teaching emphasizes hands-on learning through labs and projects. He teaches undergraduate courses in computer systems, embedded systems, and signal processing, and a graduate course (SYSC 5807) on Advanced Topics in Computer Systems, specifically Sensor Fusion Systems . Scientific Awards: Alberta Innovate Association Award (2011) IEEE Excellence in PhD Research (2013) Mitacs Elevate Industrial Postdoc Award (2014) NSERC PDF Award (2015) Queen’s University Teaching Award (2016) Dr. Atia has advised graduate students such as Hamza Sadruddin and Alan Zhang , who have presented at IEEE Sensors and ION GNSS+ conferences, with Zhang winning Best Presentation. He has no listed grants in the provided text but has received prestigious fellowships. His research lab supports innovation in real-time embedded sensor fusion with links to industry and open-source tools.

Saravanan VenkatachalamView profile

Associate Professor

• Stochastic Programming
• Large Scale Optimization
• Robust Optimization
• +6 more

Saravanan Venkatachalam is an Associate Professor in the Department of Industrial and Systems Engineering at Wayne State University. His research focuses on stochastic programming, robust optimization, and discrete event modeling with applications to supply chain management, healthcare, energy systems, and unmanned vehicle operations. Education Ph.D. in Industrial and Systems Engineering, Texas A&M University M.S. in Industrial and Systems Engineering, Texas A&M University B.E. in Production Engineering, PSG College of Technology, India His work addresses decision-making under uncertainty through decomposition algorithms and data-driven approaches. Recent projects include autonomous vehicle path planning with uncertain parameters, community-aware electric vehicle charging networks, and optimization models for radio advertisement placements. Current research trends emphasize stochastic programming for resource allocation in dynamic environments, robust optimization for transportation and energy systems, and multi-vehicle routing under uncertainty. He has supervised multiple graduate students in thesis work related to optimization models and taught core courses such as Operations Research, Deterministic Optimization, and Stochastic Programming at both undergraduate and graduate levels.

Yanja DajsurenView profile

Assistant Professor

• Software Architecture
• Model-Driven Development
• Component-Based Software Engineering
• +6 more

Yanja Dajsuren is an Assistant Professor and Program Director of the PDEng Software Technology program at Eindhoven University of Technology's Department of Mathematics and Computer Science. Her work bridges academic research and industry applications in software engineering and mobility systems. Education: PhD in Computer Science (2015), TU/e PDEng in Software Technology (2005), TU/e MBA (2002), Maastricht School of Management Research Focus: Yanja specializes in software architecture for autonomous and cooperative driving systems, with a focus on model-driven development, functional safety, and system modularity. Her work contributes to Cooperative Intelligent Transport Systems (C-ITS) and aligns with UN Sustainable Development Goals related to smart cities and innovation. Projects: Current projects include i-CAVE (Project #6) and Horizon 2020 C-MobILE, addressing challenges in automotive software integration and cooperative driving systems. Past projects at Philips Research, NXP Semiconductors, and CWI demonstrate her long-term expertise in industrial software development. Academic Contributions: She co-founded the International Workshop on Automotive Software Architectures (WASA) and launched the Journal of Automotive Software Engineering (JASE). Her collaborations span academia and industry, including partnerships with ASML, Philips Hue, and international research teams.