Eiji Iwase is a Professor at the Department of Applied Mechanics and Aerospace Engineering , Waseda University , with concurrent roles at the Ministry of Education, Culture, Sports, Science and Technology (MEXT) as Senior Scientific Research Specialist (2018-2020). His research focuses on Nano/micro-systems Origami/Kirigami-based flexible electronics Self-folding mechanisms for deployable structures Thermoelectric energy harvesting Research Interests span mechanics/mechatronics integration, intelligent robotics, and materials engineering for stretchable devices. He pioneered bilayer self-folding techniques using heat-shrink films and liquid metal interconnects with reduced contact resistivity, enabling robust flexible thermoelectrics. Article Trends show consistent work on Origami/Kirigami engineering Stretchable electronics Thermoelectric generators Self-healing mechanisms Flexible photonic devices Mechanical metamaterials with interdisciplinary applications in medical devices, wearable systems, and microfluidics. Scientific Awards include Waseda Research Award (2016) MEXT Young Scientists' Prize (2015) Marubun Research Encouragement Award (2016) Micro-Nano Science & Technology Division Prize from JSME (2017) Commendation for Science and Technology by MEXT (2015) reflecting his contributions to mechanical systems and flexible electronics.
Dr. Othon Michail is an academic researcher specializing in Computer Science with a focus on Algorithms , Robotics , and Programmable Matter . His work explores the complexity of reconfiguration systems , including modular robots, geometric shape transformations, and distributed network algorithms. Recent research highlights include: Efficient distributed algorithms for shape reduction via reconfigurable circuits Collision detection challenges in modular robot systems Algorithmic frameworks for orthogonally convex shape transformations Analysis of exponential growth in geometric systems He has secured grants from the Royal Society (Charitable) (2019-2022) and contributes to teaching modules such as Distributed Systems (COMP212) and Research Methods in Computer Science (COMP516/COMP616) .
Dr. Jamshed Iqbal is a Senior Lecturer at the University of Hull , affiliated with the School of Digital and Physical Sciences and the Computer Science department . With over two decades of experience in academia and industry, he leads the BEng/MEng Robotics and AI program and contributes to pedagogical innovation via the CDIO framework.
Asaad Kaadan serves as Associate Professor of Electrical and Computer Engineering at The University of Tulsa's College of Engineering & Natural Sciences. He concurrently leads Hexabitz, Inc. as Founder and CEO, driving industry-academia integration in modular electronics development. Education: Ph.D. in Electrical and Computer Engineering, University of Oklahoma (2016) M.S. in Electrical and Computer Engineering, University of Oklahoma (2013) B.Sc. in Electronics Engineering, University of Aleppo (2010) His research pioneers modular sustainable electronics systems with applications in space technologies and e-waste reduction . By developing reconfigurable hardware architectures and distributed computing frameworks, his work addresses critical sustainability challenges in electronics manufacturing while advancing modular optics and prototyping methodologies across drone, automotive, and IoT sectors. Scientific Recognition: DesignCon 2025 40-Under-40 Award Professor Kaadan leverages 15 years of global industry experience—spanning robotics engineering at Freefly Systems and aerospace research at German Aerospace Center—to provide students with exceptional industry-aligned training. His dual academic-industry role creates unique pathways for commercializing sustainable electronics research through Hexabitz partnerships. Students benefit from direct exposure to product development cycles for modular electronics systems, with opportunities to contribute to space technology applications and e-waste recycling innovations.
Andreas Walther is a full Professor at the Department of Chemistry, Johannes Gutenberg University Mainz, Germany, and a Research Fellow at the Gutenberg Research College and the Max Planck Institute for Polymer Research. With an academic career spanning elite programs like the Bavarian Macromolecular Science Network and a PhD (summa cum laude) from Bayreuth, he leads cutting-edge research in synthetic biology, DNA nanotechnology, and bioinspired materials. Education: PhD (summa cum laude, 2006-2008) in Macromolecular Chemistry, Bayreuth Diploma (2005) in Polymer and Colloid Science, Bayreuth His research focuses on programmable DNA-based materials, chemically fueled reaction networks, and adaptive hydrogels. Recent work explores synthetic cells, transient colloidal assemblies, and non-equilibrium systems. His lab employs deep learning for kinetic modeling, integrates enzymatic networks with soft robotics, and develops pH-responsive materials for biomedical applications. Key article trends include: (1) DNA-driven adaptive systems (2) Enzymatic reaction networks for autonomous behavior (3) Bioinspired metamaterials (4) ATP-powered signaling interfaces (5) Multivalent pattern recognition (6) Sustainable nanocomposites. Scientific Awards: ERC Consolidator Grant (2021) ARCHES Award (2019) ERC Starting Grant (2015/2016) DSM Science Award (2008) Otto Warburg PhD Prize (2009) IUPAC Young Researcher Prize (2018) Walther serves on scientific advisory boards (FRIAS) and leads the DFG Cluster of Excellence livMatS. His lab develops scalable approaches for molecular motor-polymer conjugates, programmable coacervates, and recyclable vitrimers, with applications in tissue engineering and energy-autonomous materials.
Thorsten Berger is a Professor and Head of the Chair of Software Engineering at Ruhr University Bochum, Germany. His office is located at MC 4.101 on the RUB campus, with contact details including phone (+49 (0) 234 32 25975) and email (thorsten.berger@rub.de). He's an active researcher with extensive service in the software engineering community, serving on program committees for major conferences including ICSE, FSE, ASE, and SPLC. Professor Berger's research primarily focuses on software engineering with specialization in variability management, software product lines, and robotics software engineering. His work bridges theoretical foundations with practical applications, particularly in behavior trees for robotic systems, configuration management, and domain-specific language engineering. His interdisciplinary approach connects software engineering with control theory and machine learning applications. Analysis of his recent publications reveals a strong trend toward robotics software engineering, with increasing focus on behavior trees, test-case specification, and runtime verification for robotic systems. His work also shows growing interest in machine learning integration with traditional software engineering practices, particularly in model integration and asset management for ML-enabled systems. The research demonstrates consistent evolution from foundational work in variability management toward more applied domains. His scientific achievements have been recognized with numerous awards: Multiple Most Influential Paper Awards (SLE 2024, VaMoS 2023, VaMoS 2020) Wallenberg Academy Fellowship VR Starting Grant from Swedish Research Council (2016) Best Paper Awards at Modularity (2015) and CSMR (2013) Distinguished Reviewer Awards from ASE, ICSE, and SPLC conferences ERC Starting Grant finalist (2019, 2020) Professor Berger has secured substantial research funding as Principal Investigator for multiple projects including Novel Techniques for Data-Driven Root-Cause Analysis and Variability Management (Volkswagen Infotainment), Properties and Verification Techniques for Behavior Trees (Phoenix Contact Foundation), and PrivacyE2E framework for AI-enabled systems (Federal Ministry of Education and Research). His Wallenberg Academy Fellowship and VR Starting Grant demonstrate his capacity to attract competitive early-career funding. He leads the Virtual Platform project funded by the Swedish Research Council and participates in EU-funded initiatives like CO4ROBOTS. As Head of the Chair of Software Engineering at Ruhr University Bochum, he leads a research group focused on advanced software engineering techniques with particular emphasis on variability-intensive systems. His team actively participates in international research collaborations including the Wallenberg Autonomous Systems Program (WASP) and has organized significant events like the Dagstuhl seminar 19191 on 'Software Evolution in Time and Space: Unifying Version and Variability Management.'
Luc Rolland is a Lecturer at the University of the West of Scotland, affiliated with the School of Computing, Engineering and Physical Sciences. He has maintained an active research profile since 1996 with recent collaborations at Centrale Nantes, Memorial University, and other international institutions. His research focuses on high-performance robotics systems design across multiple application domains. Rolland's work spans material handling systems, high-speed milling machinery, solar tracking mechanisms, palettizing solutions, reconfigurable robots, and stair-climbing platforms. His expertise extends to robot modeling, simulation, and control systems with particular emphasis on path planning and path pursuit certification. Recent publications (2021-2023) demonstrate a strategic expansion into healthcare robotics, decontamination systems, and autonomous vehicle validation. His work shows strong interdisciplinary connections between mechanical engineering, environmental science, and public health applications, particularly in ozone-based decontamination systems and UAV technology. Advanced robotics system design and implementation Parallel manipulator development for specialized applications UAV path planning and sense-and-avoid systems Hydrogen fuel cell systems for maritime applications Validation methodologies for autonomous vehicle features Rolland actively supervises three PhD students on projects related to UAV path planning, sense-and-avoid systems, and hydrogen-powered ship design. His research collaborations span Memorial University of Newfoundland, Centrale Nantes, and other international institutions. He has served as a visiting researcher at Ostfalia University of Applied Sciences and Changchun Institute of Technology, while also hosting academic visitors and providing peer review services for academic journals.
Jean-François Boland is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), where he leads research in aerospace systems and embedded technologies through the LASSENA Laboratory. His expertise spans avionics, autonomous systems, digital design methodologies, and functional verification. Research Interests: Aeronautics & Aerospace : Flight control systems, radiation-hardened avionics, integrated modular architectures Intelligent Systems : Bipedal robot control, adaptive algorithms, autonomous navigation Digital Design : RTL verification, fault modeling, high-level synthesis His recent publications emphasize fault-tolerant aerospace systems , with 60% focused on radiation effects mitigation, 25% on autonomous robotics, and 15% on design methodologies. Key trends include AI-enhanced verification (2019), SEU-resistant flight controls (2013–2016), and bipedal locomotion control (2021–2022). Awards and Honors: Ambassadeur Honoraire (ÉTS, 2020) CNESST Safety Award & GREPCI Finalist (2017) CRIAQ Project Excellence Award (2012) Two ÉTS Teaching Excellence Awards (2011, 2013) He actively advises graduate students, with 16+ supervisees working on projects like fault-tolerant avionics and quadcopter control systems. Laboratory work at LASSENA emphasizes resilient embedded systems and aerospace-grade validation platforms.
Dr. Musab Coşkun serves as a Lecturer at Bingöl University's Continuing Education Application and Research Center. He maintains active international collaborations through past visiting researcher positions at the University of Koblenz and Landau (Germany) and the University of Malta. His academic credentials include: Bachelor of Science in Electrical and Electronics Engineering, Fırat University (2006-2010) with Erasmus exchange at Bialystok University of Technology, Poland (2008-2009) Master of Science in Electrical and Electronics Engineering, Fırat University (2012-2015) Doctor of Philosophy in Electrical and Electronics Engineering, Fırat University (2015-2022) Dr. Coşkun's research integrates Computer Vision, Deep Learning, and Robotics to solve practical problems in unmanned systems and human-machine interaction. His work spans theoretical algorithm development (e.g., efficient neural networks for sEMG classification) and hardware implementation (FPGA acceleration, UAV systems), with recent emphasis on reinforcement learning for robotic manipulation. The progression from 2016-2017 object tracking studies to 2021-2022 robotic grasping research demonstrates evolving technical sophistication while maintaining core computer vision expertise. His publication record shows consistent output in high-impact venues, with recent work focusing on deployable deep learning solutions for robotics. The 2018 TÜBİTAK-funded project on humanoid robot training algorithms provides evidence of competitive grant acquisition capability. As an early-career lecturer, Dr. Coşkun offers students hands-on experience with cutting-edge robotics and vision systems within Bingöl University's continuing education framework, emphasizing practical implementation skills alongside theoretical foundations.
Shree K. Nayar is the T. C. Chang Professor of Computer Science in the School of Engineering at Columbia University, where he heads the Columbia Vision Laboratory (CAVE). He served as Department Chair from 2009-2012 and was Director of Research at Snap Inc. from 2018-2024. Nayar received his PhD from Carnegie Mellon University and has been at Columbia since 1991, progressing from Assistant to Full Professor. His educational background includes a PhD in Electrical and Computer Engineering from Carnegie Mellon University (1990), an MS from North Carolina State University (1986), and a BS from Birla Institute of Technology in India (1984). He began his career as a Research Engineer at Taylor Instruments in New Delhi before pursuing graduate studies. Nayar's research spans three interconnected areas: novel computational cameras that capture new forms of visual information, physics-based models for vision and graphics, and algorithms for scene understanding. His work in computational imaging has transformed digital photography, with applications in smartphones, robotics, virtual reality, and human-computer interfaces. His research has produced over 300 publications with nearly 60,000 citations and 80 patents. Analysis of his recent publications reveals a strong focus on computational imaging challenges including low-light vision, depth sensing, mobile interaction, and accessibility technologies. His work consistently bridges theoretical foundations with practical applications, as evidenced by commercial implementations of his assorted pixels technology in smartphone cameras. Elected to National Academy of Engineering (2008), American Academy of Arts and Sciences (2011), National Academy of Inventors (2014), and Indian National Academy of Engineering (2022) Okawa Prize (2023), IEEE PAMI Distinguished Researcher Award (2019) Two-time David Marr Prize winner (1990, 1995) - the highest honor in computer vision Multiple best paper awards at major conferences including SIGGRAPH Asia (2024) and ECCV (2024) National Young Investigator Award (1991), Packard Fellowship (1992) Nayar has supervised numerous PhD and Master's students throughout his career at Columbia. His lab has received continuous funding from NSF, industry partners, and foundations. The Columbia Vision Laboratory (CAVE) is known for its interdisciplinary approach, combining optics, hardware design, and algorithms to solve fundamental vision problems. Nayar's Bigshot Camera project demonstrates his commitment to education, providing hands-on learning experiences for students worldwide. The Columbia Vision Laboratory (CAVE) develops cutting-edge computational imaging and computer vision systems. Under Nayar's leadership, the lab has pioneered technologies including self-powered cameras, high dynamic range imaging systems, and novel computational cameras. The lab maintains strong industry connections, particularly through Nayar's role at Snap Research, and emphasizes translating research into real-world applications that benefit society.
Emmanuel Grolleau is a Full Professor at ISAE-ENSMA (Institut Supérieur de l'Aéronautique et de l'Espace - École Nationale Supérieure de Mécanique et d'Aérotechique) specializing in real-time systems. He is affiliated with the LIAS laboratory (Laboratoire d'Ingénierie des Applications de la Sensorique) where he leads the Real Time Team. His work bridges theoretical scheduling principles with practical embedded system implementations across multiple domains. Professor Grolleau's primary research interests include: Real-Time Scheduling: uniprocessor, multiprocessor, and distributed scheduling with practical considerations like transactions and precedence constraints Model-Based Systems Engineering (MBSE): developing bridges between UML-MARTE and AADL to real-time scheduling tools Unmanned Aerial Vehicles (UAVs): autopilot architecture design and optimization Energy Systems: co-heading the LabCom ANR Laboratoire d'Insertion des Énergies Nouvelles et d'Optimisation des Réseaux (LIENOR) His publication record demonstrates a clear progression from fundamental scheduling theory to applied work spanning avionics, drone technology, and power systems. Recent work shows strong focus on UAV autopilot architectures, model-based frameworks for real-time systems, and energy management in power distribution networks. Professor Grolleau serves on multiple prestigious program committees including Real-Time Networks & Systems (RTNS) since 2012, ACM/SIGAPP Symposium On Applied Computing (SAC) since 2015, DETECT since 2018, and DroneSE in 2023. He has led significant research projects such as PIA CORAC Panda and FUI WARUNA, which developed the Time4Sys pivot meta-model to connect theoretical scheduling with practical implementation. His collaborative work extends across multiple institutions and industries, with publications spanning real-time scheduling theory, UAV systems, energy management, and avionic architectures. The consistent thread through his work is the practical application of real-time scheduling principles to solve complex engineering problems in safety-critical systems.
Professor Sriram Subramanian serves as Professor of Computer Science at University College London and was elected Fellow of the Royal Academy of Engineering (FREng) in 2025 for transformative contributions to engineering innovation. His research pioneers acoustic manipulation through ultrasound technologies, enabling mid-air touch sensations, levitation, and contactless control systems. Early breakthroughs led to Ultrahaptics (now Ultraleap), while subsequent work on reconfigurable acoustic metamaterials founded Metasonixx. Current efforts focus on sound-field manipulation of physical matter—including liquids, powders, and biological samples—culminating in AcoustoFab for acoustic robotic systems in laboratory automation and digital manufacturing. A passionate science communicator, he engages public audiences through levitation and holography demonstrations, inspiring STEM interest among youth. His work receives prominent coverage in The Guardian, The Times, and CNN. Scientific awards: Fellow of the Royal Academy of Engineering (FREng), 2025
