Eduardo Velloso is a Professor of Computer Science at the University of Sydney , focusing on interaction design for emerging technologies . His work explores novel user experiences through input modalities, interaction devices, and AI/ML integration in systems. Education: PhD in Computer Science (Lancaster University, UK), Bachelor in Computer Engineering (Pontifical Catholic University of Rio de Janeiro, Brazil) Research Interests: Interdisciplinary work combining Human-Computer Interaction , Augmented/Virtual Reality , Eye Tracking , Wearable Computing , and Machine Learning . Publication Trends: Recent work addresses methodology in HCI , AR/VR applications , AI integration , and sensor-based interaction . Scientific Awards: Best Paper Award at CHI Best Paper Award at UIST Best Paper Award at TOCHI Best Paper Award at TEI Supervision: Actively supervises PhD students and collaborates with companies/government on projects like VR training systems and AI mediation tools . Labs/Teams: Affiliated with institutions in Australia (University of Sydney) and Brazil (PUC-Rio), with global co-authors in projects involving mixed reality , wearables , and AI ethics .
Amit Lal is a Professor in the School of Electrical and Computer Engineering at Cornell University, with affiliations in Biomedical Engineering, Applied Engineering Physics, and Mechanical and Aerospace Engineering. He is a member of key research centers including Cornell CCMR, NBTC, and KAUST-CU. Education: B.S. in Electrical Engineering, California Institute of Technology, 1990 Ph.D. in Electrical Engineering, University of California, Berkeley, 1996 Prof. Lal's research focuses on the development of integrated microsystems using micro- and nanoscale fabrication. His work spans ultrasonic MEMS, low-power IoT sensors, atomic microsystems, and bio-robotics. He directs the SonicMEMS Laboratory, advancing technologies in GHz ultrasonics, inertial sensing, and chip-scale manipulation of particles. His interdisciplinary interests include biomedical imaging, solid-state devices, nanotechnology, and plasma science. His recent publications highlight innovation in energy harvesting, MEMS gyroscopes, and biologically integrated systems. The works reflect strong trends in autonomous sensing, miniaturized power sources, and hybrid bio-electromechanical systems, particularly for medical and navigation applications. Scientific Awards and Honors: NSF CAREER Award Whitaker Foundation Award Department of Defense Exceptional Service Award Best Program Manager Award, DARPA IEEE Ultrasonics and Frequency Control Symposium Best Paper Award IEEE NEMS Best Paper Award Robert M. Scharf 1977 Professor, Cornell Engineering HHMI Visiting Scientist, Janelia Farms Intel Fellowship (awarded to advisee) Prof. Lal has advised numerous students who have gone on to win awards and publish impactful research. He has secured significant research funding through DARPA and other agencies, managing and initiating multiple high-impact programs. His leadership extends to service on technical committees for IEEE conferences and journals, including Transducers and the IEEE Sensors Council. He has also contributed to academic recruiting within ECE. He leads the SonicMEMS Laboratory , a multidisciplinary research group focused on transforming sensing, communication, and computation at the microscale. The lab fosters collaboration across engineering and life sciences, pushing the boundaries of what integrated microsystems can achieve.
Dr. Thalia Dominguez Bucio is a Senior Research Fellow at the Optoelectronics Research Centre (ORC), University of Southampton, within the Faculty of Engineering and Physical Sciences. She is a key member of the Silicon Photonics research group and actively contributes to the Horizon Europe PIXEurope project, advancing integrated photonic technologies. Her work focuses on silicon nitride as a material platform for next-generation photonic integrated circuits. Her research interests center on integrated photonics , silicon nitride platforms , nonlinear optics , and CMOS-compatible fabrication . She investigates low-loss photonic devices, efficient coupling mechanisms, and high-speed electro-optic modulators, with applications in optical communications and signal processing. Recent publications (2024) demonstrate a strong trend toward high-efficiency grating couplers , broadband wavelength conversion via intermodal four-wave mixing, and monolithic integration for low-power operation. These works reflect a cohesive research direction focused on enabling scalable, high-performance photonic integrated circuits using advanced silicon nitride technology. Speaker, Advanced Silicon Nitride Integration for CMOS Photonic Circuits, 2023 She currently supervises PhD students Qian Zhang and Lifeng Bao , and is accepting new PhD applicants. Her research is supported by major EU-funded initiatives like Horizon Europe. She is part of the Photonic Systems, Circuits and Sensors Group and the broader Silicon Photonics team at the ORC, fostering interdisciplinary collaboration in photonics research and development.
John Bell is a Professor and Deputy Vice-Chancellor (Research and Innovation) at the University of Southern Queensland (UniSQ), based at the Springfield Campus. He holds a BSc from the University of Sydney and a PhD from the University of New South Wales (UNSW). His leadership role involves overseeing research strategy and innovation initiatives across the institution. Bell's research spans advanced materials and energy technologies, with expertise in: Nanomaterials synthesis and characterization Renewable energy generation/storage (photovoltaics, batteries) Functional polymers and composite materials Semiconductor device engineering Smart building technologies His recent publications (2022-2025) demonstrate a strong focus on sustainable energy solutions, particularly next-generation batteries, solar cells, electrochromic devices, and nanotechnology-enabled sensors. Over 80% of his recent work addresses materials innovation for decarbonization and energy efficiency.
Markus Vincze is an Associate Professor at the Institute of Automation and Control Engineering (ACIN) at Vienna University of Technology (TU Wien). He founded the Vision for Robotics (V4R) group in 1996 to advance robotic perception, particularly in real-world environments and homes. His work focuses on cognitive computer vision techniques for robotics. Education: Diplom in Mechanical Engineering (1988) and PhD (1993) from TU Wien; M.Sc. (1990) from Rensselaer Polytechnic Institute. V4R coordinates EU projects like ActIPret, robots@home, HOBBIT, and national initiatives like vision@home. Markus has edited a book on Robust Vision with Gregory Hager and authored 62 peer-reviewed journal articles and over 400 reviewed publications. His recent research explores zero-shot 6D pose estimation, sim-to-real transfer, and transparent object detection. Markus has served as program chair for ICRA 2013 and organized HRI 2017 in Vienna. He has advised numerous students and secured grants from the Austrian Academy of Sciences for work at HelpMate Robotics and Yale's Vision Laboratory. The V4R group leads innovations in robotic vision, including frameworks for synthetic data generation (Unrealgensyn), depth completion (CAGT), and educational robotics applications for sustainability. Their work spans household robotics (RH3), agricultural robotics (EdgeSoil), and human-robot collaboration.
Jerry Zeyu Gao is a Professor in the Department of Computer Engineering at San Jose State University, part of the Charles W. Davidson College of Engineering. He maintains active office hours and has a strong presence in both academic and industry domains, combining over 15 years of academic experience with more than 10 years in software engineering and IT development management. His research spans a wide range of cutting-edge areas in computing, including: Cloud Computing and Services Software as a Service (SaaS) and Testing as a Service (TaaS) Test Automation Mobile Computing and Mobile Cloud Technologies Software and Service Engineering Mobile Sensor Technologies Smart Cities infrastructure Dr. Gao has published over 180 papers in top-tier IEEE and ACM journals and conferences, and has co-authored three technical books while editing several others in software engineering and mobile computing. His scholarly output reflects a strong focus on practical, scalable solutions in cloud, mobile, and service-oriented systems. The publications show consistent themes in automation, service delivery, distributed architectures, and real-world software validation. He has played a leadership role in the international research community, having served as conference chair, program co-chair, and workshop co-chair for numerous prestigious events such as IEEE MobileCloud, IEEE SOSE, SEKE, and others between 2004 and 2015. These roles highlight his influence and recognition in the software engineering and cloud computing communities. Dr. Gao advises students and contributes to graduate and undergraduate education, although specific advisees are not listed. He is involved in research projects and likely secures external funding given his publication and conference leadership activities, though specific grants are not mentioned. He is associated with research initiatives related to mobile systems, cloud services, and smart city technologies.
Kim Joo-yeon is an Associate Professor at the Department of Clothing and Textiles , Seoul National University , within the College of Human Ecology . She holds a Ph.D. in Fiber and Polymer Science from North Carolina State University, with prior Master's and Bachelor's degrees in Clothing and Textiles from Seoul National University. Research Interests focus on Textile Engineering , Nanotechnology , and Environmental Materials , particularly photocatalytic fabrics, biodegradable filters, and sustainable textile processing. Her work integrates Photocatalytic degradation of pollutants Nanoparticle functionalization Smart filtration systems Waste-to-resource strategies Publications (2022–2024) highlight innovations in Photocatalytic fabric design Bacterial adhesion control Multi-jet electrospinning MOF-based gas filters with a focus on environmental and healthcare applications. She teaches undergraduate courses in Clothing Material Evaluation and Experimental Studies , and graduate courses in Textile and Polymer Chemistry and Filter Materials . Kim leads the Textile Materials Lab , part of the multidisciplinary W.E.A.R. Lab ( Wearable Ergonomics + Anthropometrics Research ), addressing real-world challenges through textile innovation.
Dr. Aykut Koç is an Associate Professor at the Department of Electrical and Electronics Engineering and a faculty member of the National Magnetic Resonance Research Center (UMRAM) at Bilkent University, Turkey. He leads the AykutKoc Lab, focusing on interdisciplinary research at the intersection of machine learning, signal processing, natural language processing, and graph signal processing. Education: B.S. in Electrical and Electronics Engineering (2005, Bilkent University); M.S. in Electrical Engineering (2007), M.S. in Management Science and Engineering (2009), and Ph.D. in Electrical Engineering (2011) under Professor Lambertus Hesselink at Stanford University; LL.B. in Law (Ankara University). His research integrates mathematical signal processing techniques (e.g., fractional Fourier and linear canonical transforms) with modern machine learning architectures like transformers and graph neural networks. Recent work explores semantic communication systems, bias mitigation in legal language models, and cross-modal applications in biomedical imaging and radar technology. Dr. Koç has published extensively in IEEE and Springer journals, with recent articles analyzing Fourier-enhanced transformers, graph-based NLP methods, and time-vertex signal analysis. His work addresses both theoretical innovations and practical applications, including schizophrenia diagnosis, legal outcome prediction, and maritime surveillance. Scientific Awards: Science Academy Young Scientists Award (BAGEP), 2023. He has supervised numerous graduate and undergraduate researchers, many of whom have transitioned to top-tier institutions such as MIT, UCLA, and TU Darmstadt. Dr. Koç actively serves as Associate Editor for multiple IEEE journals and participates in conference program committees, including EMNLP's Natural Legal Language Processing (NLLP) workshop.
Joanna Aizenberg is the Amy Smith Berylson Professor of Materials Science and Professor of Chemistry and Chemical Biology at Harvard University’s School of Engineering and Applied Sciences (SEAS). She is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering and Co-Director of the Kavli Institute for Bionano Science and Technology. Her research focuses on understanding biological architectures and applying these principles to develop advanced synthetic materials and devices. Current Positions: Amy Smith Berylson Professor of Materials Science, Harvard SEAS Professor of Chemistry and Chemical Biology, Harvard Core Faculty Member, Wyss Institute Co-Director, Kavli Institute for Bionano Science and Technology Research Interests: Joanna Aizenberg’s lab explores adaptive materials, biomineralization, surface science, bio-inspired optics, self-assembly, and bio-nano interfaces. The group investigates how biological systems economically design multifunctional, adaptive materials to inspire new synthetic routes and nanofabrication strategies. These advancements aim to impact fields such as architecture, energy efficiency, and medicine. Recent Article Trends: Her recent publications emphasize bio-inspired materials, catalysis, surface engineering, and fluid dynamics. Topics include superhydrophobic coatings, PdAu alloy catalysts, liquid crystal elastomers, and microbial contamination reduction. The interdisciplinary work integrates nanofabrication, computational modeling, and environmental applications. Research Group Members: Kathy Liu Gurminder Paink Haritosh Patel Atalaya Wilborn Garrick Lim
Dr. Tatsuya Mori is a Professor at the Department of Computer Science and Communication Engineering , Faculty of Science and Engineering, Waseda University . He also holds visiting researcher positions at RIKEN Center for Advanced Intelligence Project (since 2018) and National Institute of Information and Communications Technology (since 2019). Education: Ph.D. in Information Science (2005), Waseda University Research Interests: Spanning information security and privacy across emerging technologies like autonomous driving , AI , 3D sensing , VR , biometric measurement , and Web3 . His work focuses on offensive security and interdisciplinary research , including physical-layer attacks on sensors and behavioral studies on phishing detection. Scientific Awards: Recipient of multiple prestigious awards, including the Distinguished Paper Award Runners-Up at IEEE EuroS&P 2024 , IPSJ Outstanding Paper Award 2024 , and CSS2024 Concept Research Prize . His research has been recognized in top conferences like USENIX Security , NDSS , and ACM CCS . Professional Leadership: Active in academic governance as Chief Investigator for NISC Working Groups and Committee Member for JST Research Areas . He serves on program committees for NDSS , IMC , and ACM CCS .
Dr. Su Ryon Shin is an Assistant Professor in the Division of Engineering in Medicine at Harvard Medical School and Brigham and Women's Hospital (BWH) in Cambridge, MA. She leads an active research laboratory focused on bioengineering, tissue engineering, and regenerative medicine, with particular expertise in 3D bioprinting, biomaterials, and organ-on-a-chip technology. Her research interests span biohybrid robotics, decellularized extracellular matrix, stem cell-based tissue engineering, and volumetric muscle regeneration . Dr. Shin's work integrates advanced biomaterials with cellular systems to create innovative solutions for tissue regeneration and disease modeling. She has pioneered approaches using human stem cell-derived materials for volumetric tissue regeneration and developed biohybrid neuromuscular robots powered by living cardiac muscle cells. Her publication record demonstrates consistent productivity with over 180 publications, including numerous first/senior author papers in high-impact journals like Science Robotics, Advanced Materials, and Nature Reviews Bioengineering . Her work shows a clear progression from fundamental biomaterials development to increasingly complex tissue engineering applications and translational research. Dr. Shin has received significant recognition including being named a 2025 BWH Health & Technology Innovation Awardee , Highly Cited Researcher 2024 by Web of Science, and multiple Stepping Strong Innovator Awards (2015, 2018, 2020). Her research has been featured in Nature Reviews Bioengineering for breakthrough work on biohybrid robots. She actively mentors students and postdocs, with former lab members accepted to prestigious programs like MIT's PhD program in Chemical Engineering. Her collaborative approach is evident through numerous interdisciplinary projects with researchers across Harvard Medical School, BWH, and international institutions.
Professor Jaana Kaarina Bäck is affiliated with the University of Helsinki, serving in the Faculty of Agriculture and Forestry's Department of Forest Sciences. She leads the 'Ecosystem processes' research group and oversees ecosystem research at the SMEAR measurement network. Her work bridges forest ecology, atmospheric science, and climate change mitigation, focusing on forest-atmosphere interactions and biogenic volatile organic compounds (BVOCs). PhD in Physiological Plant Ecology (University of Oulu, 1994) Docentship in Forest-Atmosphere Interactions (University of Helsinki, 2010) Docentship in Plant Ecophysiology (University of Oulu, 1998) Bäck's research explores how boreal forests influence atmospheric composition, carbon cycling, and climate dynamics. She investigates BVOC emissions, ecosystem responses to climate change, and feedback mechanisms between vegetation and the atmosphere. Her recent publications (277 total) analyze carbon dynamics after forest thinning, aerosol production in boreal ecosystems, and harmonized environmental observations via eLTER. These works span soil functions, air quality, and climate risk research. Knight, First Class, Order of the White Rose of Finland (2021) Open Science Award (University of Helsinki, 2018) Pro Scientia Award (Finnish Academy of Sciences and Letters, 2017) Bäck supervises 3 postdoctoral researchers, 4 doctoral students as main supervisor, and 12 as co-supervisor. She has secured over 6 M€ in research funding, including EU Horizon grants and Academy of Finland projects.
Shih-Chii Liu holds the rank of Privatdozent (Associate Professor) in the Department of Information Technology and Electrical Engineering at ETH Zürich. He is affiliated with the Institute of Neuroinformatics , a joint institute between the University of Zurich and ETH Zurich. His research focuses on neuromorphic engineering, bio-inspired neural hardware, and edge computing systems, emphasizing energy-efficient algorithms and sensor technologies. Key research areas include neuromorphic sensors for real-time data processing, sparsity-aware neural networks, and adaptive computing architectures for edge devices. His work spans applications such as speech enhancement, wearable health monitoring, and bio-inspired keyword spotting systems. He leads the Sensors Research Group, which develops neuromorphic systems integrating novel sensors, spiking neural networks, and low-power hardware accelerators. Recent projects include the DeltaKWS low-power keyword spotting IC, EFLOP computational cost metrics for spiking networks, and NeuroBench benchmarking frameworks for neuromorphic systems. His contributions emphasize bridging biological neural principles with practical engineering solutions for IoT and embedded systems. Liu teaches courses such as Neuromorphic Engineering I and collaborates on cross-disciplinary projects involving neuroprosthetics, smart wearables, and multimodal sensor fusion. His work is characterized by hardware-software co-design approaches to tackle challenges in real-time, low-latency, and energy-constrained computing environments.
Dr. Philipp Allgeuer is a Postdoctoral Research Associate at the Knowledge Technology Research Group within the Department of Informatics at the University of Hamburg. His work focuses on humanoid robotics, bipedal locomotion, and sensor fusion. He holds a PhD from the Autonomous Intelligent Systems Group at the University of Bonn, alongside dual bachelor's degrees in Mechatronic Engineering and Mathematical/Computer Sciences (both with First-Class Honors). His research contributions include the development of the igus Humanoid Open Platform and the NimbRo-OP series of humanoid robots, recognized with awards like the RoboCup HARTING Open Source Award (2016) and the Best Humanoid Award (2018). He has authored influential papers on fused angles for robot balance, tilt phase space representations, and neuro-inspired control architectures. Allgeuer's teams have dominated RoboCup competitions, winning titles in AdultSize and TeenSize leagues multiple times. His open-source software frameworks (e.g., rot_conv_lib , attitude_estimator ) and hardware designs are widely used in robotics research. Recent work explores multimodal human-robot interaction and AI-driven robotic task coordination. He is affiliated with the Knowledge Technology Research Group and contributes to projects like the NICOL humanoid robot, bridging social interaction and reliable manipulation. His research spans from low-level control algorithms to high-level behavior planning systems.
Jukka Manner is a Full Professor (tenured) of Networking Technology at Aalto University's Department of Communications and Networking (Comnet), School of Electrical Engineering. With a career spanning over two decades in internet technologies, he leads research in networking, wireless systems, and energy-efficient ICT solutions. Dr. Manner received his MSc (1999) and PhD (2004) degrees in computer science from the University of Helsinki. His academic journey has been marked by significant contributions to internet standardization through the IETF since 1999, where he served as co-chair of the NSIS working group. Professor Manner's research focuses on networking, software and distributed systems, with particular emphasis on wireless and mobile networks, transport protocols, energy efficient ICT and cyber security. His work bridges theoretical advancements with practical applications, addressing critical challenges in modern communication systems, sustainable networking practices, and security frameworks. His research group has made significant contributions to 5G technologies, UAV communications, and energy-efficient network design. His extensive publication record shows a clear evolution toward sustainability in networking technologies, with recent work focusing on energy efficiency in 5G systems, sustainable web technologies, and the environmental impact of digital infrastructure. The research demonstrates strong interdisciplinary connections between telecommunications engineering, computer science, and environmental science, with particular emphasis on reducing the carbon footprint of digital systems while maintaining performance. Cross of Merit, Signals (2014) Medal for Military Merits for contributions in national defence and C4 (2015) Professor Manner has supervised over 200 MSc theses and more than 20 doctoral dissertations, establishing himself as a dedicated mentor in the field. He has been principal investigator and project manager for over 15 national and international research projects, including serving as Academic Coordinator for the Finnish Future Internet research programme (2008-2012). His leadership extends to conference organization, having served as local co-chair of Sigcomm 2012 in Helsinki, and active participation as a peer reviewer and member of various Technical Program Committees. As an active contributor to internet standardization through the IETF, Professor Manner's work has practical impact on global networking technologies. His research group maintains strong connections with industry partners and participates in shaping future networking standards and practices, particularly in the areas of sustainable networking, 5G evolution, and security frameworks for emerging technologies.
