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Dr. Craig R. Forest is a Professor at the Georgia Institute of Technology's Woodruff School of Mechanical Engineering, specializing in bioMEMS, neuroengineering, and high-throughput instrumentation. He leads the Precision Biosystems Laboratory, focusing on developing robotic tools for neuroscience and genomics. His research bridges mechanical engineering with biological systems, creating innovations like the PatcherBot for automated electrophysiology. Forest earned his Ph.D. (2007) and M.S. (2003) from MIT and B.S. (2001) from Georgia Tech. He has been recognized with awards including the 2013 Georgia Tech Class of 1940 W. Roane Beard Outstanding Teacher Award and Engineer of the Year (2013). His work emphasizes interdisciplinary collaboration, particularly through initiatives like CREATE-X and the Invention Studio, fostering student entrepreneurship and maker culture. Key contributions include ultra-high-throughput genomics tools, microfluidic systems, and acoustic reporter genes for medical imaging. Forest’s lab explores emerging fields like intracellular robotics in neuroscience and molecular communication networks, with applications in drug discovery and personalized medicine. Scientific awards highlight his impact in education and engineering innovation. His grants and collaborations span academic and industrial partnerships, advancing both theoretical and applied research in bioengineering and nanotechnology.

• Neuroengineering
• BioMEMS Technologies
• High-Throughput Genomics
• +4 more

Gauthier Gidel is an Associate Professor at the Department of Computer Science and Operations Research (DIRO) within the Faculty of Arts and Science at Université de Montréal, where he also holds the prestigious Canada CIFAR AI Chair position. He is a core faculty member of Mila, Quebec's AI research institute, and maintains active research collaborations with leading institutions. His academic journey includes a PhD in Computer Science under the supervision of Simon Lacoste-Julien, with internships at Sierra, ElementAI, and DeepMind during his doctoral studies. Dr. Gidel's research spans multiple critical areas in machine learning, with particular emphasis on generative modeling , adversarial machine learning , and variational inequalities for machine learning. His work explores the intersection of optimization theory and practical AI systems, focusing on challenges like LLM safety alignment, multi-agent cooperation, and robustness against adversarial attacks. He is particularly known for his contributions to understanding the theoretical foundations of generative adversarial networks through variational inequality frameworks. His recent publications reveal a strong trend toward addressing critical challenges in large language model safety and alignment, with numerous 2024-2025 papers focusing on adversarial robustness, safety evaluation methodologies, and alignment techniques for LLMs. Simultaneously, his foundational work continues in optimization theory, particularly in variational inequalities and performative prediction, demonstrating his dual focus on practical AI safety concerns and theoretical machine learning foundations. Canada CIFAR AI Chair Core member of Mila Organizer of popular NeurIPS workshops on smooth games Co-founder of the ICLR blog post track Dr. Gidel actively supervises an extensive research group with approximately 10 current graduate students and numerous alumni who have secured positions at leading institutions including Inria Lyon, Oxford, and industry research labs. His research is supported by multiple substantial grants from CRSNG, MITACS, and IVADO, including the prestigious CRSNG Discovery Grant program and MITACS Acceleration Québec projects focused on fraud detection in music streaming and conditional generation. His laboratory maintains strong connections with both academic and industry partners, fostering a collaborative environment focused on advancing AI safety and theoretical understanding.

• Deep Learning
• Adversarial Machine Learning
• Generative Modeling
• +5 more

Igor Mezić is a Professor in the Department of Mechanical Engineering at the University of California, Santa Barbara. His research focuses on operator-theoretic analysis of nonlinear dynamical systems, with applications in microfluidics, nanotechnology, and biotechnology. He holds affiliations with the Institute for Collaborative Biotechnologies and the California Nanoscience Institute. Education: MS in Mechanical Engineering, University of Rijeka, Croatia PhD in Mechanical Engineering, California Institute of Technology Research Interests: Mixing and separation in fluids, particle dynamics at micro/nano scales, Atomic Force Microscope (AFM) dynamics, and complex systems theory. His work bridges physical phenomena with mathematical modeling for device design and improvement. Awards: Early Career Award (NSF) Alfred P. Sloan Fellowship George S. Axelby Award (IEEE) United Technologies Special Achievement Prize J.D. Crawford Prize (SIAM) Advising & Grants: Supported by NSF Early Career Award. Active in mentoring through interdisciplinary research groups focusing on fluid dynamics and nanotechnology. Labs & Teams: Leads research through the Mezić Group (mgroup.me.ucsb.edu), collaborating on projects spanning microfluidic systems, biotechnology applications, and multiscale dynamics.

• Bioengineering
• Systems Biology
• Dynamic Systems and Control
• +7 more

Robert Piche is a Professor at the Computing Sciences Mathematics Research Centre, specializing in advanced signal processing, positioning systems, and sensor fusion. He holds a Doctor of Science (Technology) and Master of Science from the University of Waterloo, Canada (1986 and 1982, respectively). His research focuses on Kalman filters, Global Positioning Systems (GPS), particle filters, and indoor positioning technologies. He has contributed extensively to fields like satellite orbit prediction, non-line-of-sight (NLoS) positioning, and machine learning applications in biomechanics and robotics. Dr. Piche has authored over 230 publications and received recognition through an invitation/ranking in a 2014 competition. He actively participates in academic activities, including conference presentations and peer-review roles. His work bridges theoretical advancements and practical applications, with contributions to autonomous systems, sensor data analysis, and wearable technology. Collaborations span international institutions, reflecting his global impact in engineering and computer science disciplines.

• Kalman Filters
• Global Positioning Systems (GPS)
• Signal Processing
• +5 more

Angelina Chin is Professor of History and Co-Coordinator of Asian Studies at Pomona College, where she has been a faculty member since 2006. Her research centers on modern East Asia, with a focus on colonialism, migration, diaspora, gender, sexuality, and disability in Hong Kong, Taiwan, China, and Japan. Institution: Pomona College Department: Department of History Role: Professor; Co-Coordinator of Asian Studies Location: Mason Hall 114, Claremont, CA Email: angelina.chin@pomona.edu Education: Ph.D., History (Feminist Studies), University of California, Santa Cruz M.A., History, University of California, Santa Cruz B.A., University of California, Berkeley Her research interests include modern East Asian history, gender and sexuality, disability studies, political movements, and transregional networks. She is especially known for her work on urban citizenship, women’s emancipation, and the social histories of marginal communities. Her scholarship bridges historical analysis with interdisciplinary engagement in feminism, postcolonial theory, and disability justice. Her recent publications, including Unsettling Exiles (2023) and Bound to Emancipate (2012), explore themes of exile, labor, gender, and identity formation in 20th-century East Asia. Her articles span journals such as Modern Asian Studies and Journal of Women’s History , reflecting a consistent trajectory in social and cultural history with strong attention to marginalized voices. Scientific Awards and Honors: Stanford Center for Advanced Study in the Behavioral Sciences (CASBS) fellowship (2024–2025) Abe Foundation Collaborative Grant (2023–24): 'History and Future of Care Robots' Japan Foundation Global Partnership Grant (2023–25): 'Sustainable Futures: Overcoming Disparities' (Co-PI) Abe Research Fellowship (2019): 'Assistive Technologies for the Elderly and the Disabled in China and Japan' Chiang Ching Kuo Foundation Scholar’s Grant (2015–16) Andrew W. Mellon Postdoctoral Fellowship (2006–2008) She has secured multiple research grants and collaborates with scholars and engineers in Japan, including at Ritsumeikan University, ATR, and Osaka Institute of Technology. She advises and mentors students in historical research and interdisciplinary projects, particularly those focused on social justice, identity, and transnational movements. Her recent courses include 'Chinese Diaspora,' 'Gender and Feminisms in Modern East Asia,' and 'Studying East Asian History through the Archives.' She is currently leading two disability-focused research projects: one on blind workers’ labor movements in Hong Kong since the 1960s, and another on assistive technologies, reflecting her commitment to inclusive and socially engaged scholarship.

• Modern East Asia
• Colonialism in East Asia
• Migration and Diaspora
• +12 more

Maciej Zięba is an academic researcher affiliated with the Faculty of Information and Communication Technology at Wrocław University of Science and Technology, specifically within the Department of Artificial Intelligence . His work spans machine learning, deep learning, and computer vision, with a focus on hyperspectral imaging, autonomous systems, and 3D modeling. Recent research includes uncertainty-aware sensor deployment for autonomous vehicles, low-light image enhancement algorithms, and probabilistic regression frameworks for tabular data. He has co-authored publications on flow-based models, hypernetworks, and neural radiance fields (NeRF) applied to 3D face rendering. Contact: maciej.zieba@pwr.edu.pl

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +3 more

Professor Dario Farina is Chair in Neurorehabilitation Engineering at the Department of Bioengineering, Faculty of Engineering, Imperial College London. He has previously served as Full Professor at Aalborg University, Denmark, and at the University Medical Center Göttingen, Germany, where he founded and directed the Institute of Neurorehabilitation Systems. His research spans biomedical signal processing, neural control of movement, and neurorehabilitation technology, with extensive contributions to electromyography, motor unit analysis, and neural interfaces. Chair in Neurorehabilitation Engineering, Imperial College London Former Full Professor, Aalborg University and University Medical Center Göttingen Founder and Director, Institute of Neurorehabilitation Systems Key Affiliations: Centre for Neurotechnology, Artificial Intelligence Network, Robotics Forum, Neuromechanics and Rehabilitation Technology His research focuses on biomedical signal processing , neural control of movement , and neurorehabilitation technology . He investigates how neural signals control muscles, develops methods to decode motor unit activity from EMG, and designs neural interfaces for prosthetics and rehabilitation. His work integrates computational modeling, signal processing, and clinical applications to improve bionic systems and neurorehabilitation outcomes. The recent publications (2024–2025) show a strong emphasis on high-density EMG , real-time motor unit decomposition , peripheral and cortical neural interfacing , closed-loop control systems , and AI-driven biosignal analysis . Key themes include decoding spinal and cortical signals, improving prosthetic control, understanding tremor mechanisms, and developing open-source tools for motor unit analysis. The work bridges neuroscience, engineering, and clinical practice. Scientific awards and honors include: Royal Society Wolfson Research Merit Award (2016) IEEE EMBS Early Career Achievement Award (2010) Nightingale Prize for best paper in MBEC (2007) Elected Fellow of EAMBES (2016) Elected Fellow of AIMBE (2012) Professor Farina has advised numerous researchers and students in neuroengineering and rehabilitation technology. He has led major research grants in neural interfaces and neurorehabilitation. He is Editor-in-Chief of the Journal of Electromyography and Kinesiology , an editor for IEEE Transactions on Biomedical Engineering and The Journal of Physiology , and has held editorial roles in multiple journals. He was President of ISEK (2012–2014) and is a Senior Member of IEEE. He leads a research group focused on neuromechanics, neural decoding, and bionic systems. The team develops tools like I-Spin live and MUedit for real-time motor unit identification and contributes to open-source platforms such as NeuroMotion . The lab collaborates internationally on projects involving spinal cord stimulation, prosthetic control, and wearable robotics, aiming to translate neural engineering advances into clinical rehabilitation.

• Biomedical Engineering
• Neurorehabilitation Technology
• Biomedical Signal Processing
• +12 more

Tan Yu Jun is an Assistant Professor at the National University of Singapore (NUS), joining in January 2021. She earned her BEng and PhD from Nanyang Technological University (NTU), focusing on additive manufacturing and biomaterials, followed by postdoctoral work on stretchable and self-healing electronics. Her research lies at the intersection of manufacturing technologies and functional materials , with a focus on developing soft machines and electronics using 3D printing, self-healing materials, and bio-inspired designs. She leads the YJ Laboratory , which emphasizes eco-friendly and smart materials. Her lab has produced high-impact publications in journals like Nature Materials , Nature Electronics , Science Robotics , and Advanced Materials , with recent work on transparent, conductive, self-healing magnetic rubber published in Science Advances (2025). This aligns with her expertise in materials engineering and soft robotics. Scientific Awards & Recognition Student-led teams from her lab won gold, silver, and healthcare special awards at the 25th Singapore Science & Engineering Fair. Her postdoc Zhang Xuan and student Eddy Pang received Best Poster Awards at MRS Fall 2024 and ICMAT 2025, respectively. Her student Max Ang Yi Neng was awarded the NUS-JTC Medal for Sustainability (2021). Advising & Collaborations Advised MSc students Zhou Jinrun and Zhang Biteng to achieve A+ in ME5001. Mentored high school students from Hwa Chong Institution (HCI) and Anglo Chinese School (Independent) through research projects. Participated in organizing RoboSoft 2023 and served as a mentor in student publicity efforts.

• Additive Manufacturing
• Biomaterials
• Self-Healing Materials
• +4 more

Trevor J Jones is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering, where he leads the Mechanically Intelligent Engineered Structures (MInEnS) Lab. His research integrates soft matter mechanics, nonlinear dynamics, and indigenous knowledge to develop novel technologies in soft robotics, meta-materials, and manufacturing. Education: Ph.D., Chemical Engineering, Princeton University (2023) B.S., Chemical Engineering, Vanderbilt University (2017) His research focuses on harnessing mechanical instabilities, fluid-solid interactions, and granular matter to create intelligent, adaptive materials. Inspired by natural phenomena and Ojibwe beadwork traditions (reflected in the MInEnS Lab's name from the Ojibwemowin word manidoominens ), his work spans soft robotics, deployable structures, and beadwoven metamaterials. He employs an interdisciplinary approach combining crafting, experimentation, and theoretical modeling. His recent publications (2022–2024) demonstrate a strong trend in leveraging buckling, plasticity, and fluid dynamics to achieve emergent intelligence and multifunctionality in soft engineered systems, particularly through innovative fabrication techniques like bubble casting and beadwork-inspired design. Scientific Awards: AISES Lighting the Pathway Fellow Trailblazer in Engineering Rising Star in Soft and Biological Matter Jones actively mentors graduate and undergraduate researchers, including PhD students Eddie Beck and Angela Lee, and undergraduates Eleni Georgountzos and Adela Qiu. He is currently recruiting PhD students and postdocs for projects in bead-woven materials and soft matter mechanics. The MInEnS Lab fosters a highly interdisciplinary environment that values curiosity, craftsmanship, and the integration of diverse cultural perspectives in scientific inquiry.

• Soft Matter Mechanics
• Nonlinear Dynamics
• Mechanical Instabilities
• +12 more

Leandro Parada Pradenas is an Honorary Research Associate in the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He is also a PhD Candidate in AI and Transportation, focusing on advancing safe and efficient autonomous vehicles through Deep Reinforcement Learning (DRL) integrated with Vehicle-to-Vehicle (V2V) communication. His research addresses scalability in Multi-Agent Systems, real-world deployment of robotics, and resilience against adversarial AI threats. Education: PhD Candidate in AI and Transportation (Imperial College London) Research Interests: His work spans cooperative planning among autonomous vehicles, simulation-to-real-world transitions in robotics, and enhancing system security against adversarial AI. He aims to bridge theoretical advancements with practical applications in mobility and security. Professional Background: Previously, he served as a Management Consultant for four years, developing Decision Support Systems for Logistics, Healthcare, and Energy sectors. This experience informs his interdisciplinary approach to solving complex systems challenges. Lab/Teams: While specific lab affiliations are not detailed, his research likely intersects with Imperial's robotics and AI groups focused on autonomous systems and cybersecurity.

• Artificial Intelligence
• Autonomous Systems
• Transportation Engineering
• +3 more

Shima Nazari is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of California, Davis. Her research focuses on dynamics and control with applications to transportation systems, energy systems, and electrified/automated vehicles. She leads the CORE Lab, exploring advancements in hybrid powertrains, autonomous vehicle control, and energy-efficient systems. Education: Ph.D., Mechanical Engineering, University of Michigan (2019) M.S., Electrical Engineering, University of Michigan (2016) M.S., Mechanical Engineering, Sharif University of Technology, Iran (2012) B.S., Mechanical Engineering, Sharif University of Technology, Iran (2009) Her research interests span dynamics and control theory applied to hybrid electric vehicles, powertrain optimization, and autonomous systems. She has contributed to advancements in energy-efficient vehicle designs, regenerative braking, and control strategies for electrified powertrains. Her work often bridges mechanical and electrical engineering disciplines to address real-world challenges in transportation and energy. Recent research trends in her articles emphasize data-driven control methods, hybridization strategies for autonomous systems, and thermal management of energy storage solutions. These studies reflect her commitment to interdisciplinary innovation. Although no scientific awards are explicitly mentioned, her contributions to the field are evident through her active research and publications. She advises students in her lab and collaborates on grants focused on sustainable mobility solutions. Dr. Nazari is affiliated with the UC Davis College of Engineering and actively contributes to graduate programs in Dynamics, Controls, Vehicles, and Robotics. The CORE Lab serves as a hub for experimental and computational research in her areas of expertise.

• Dynamics and Control
• Powertrain Electrification
• Hybrid Electric Vehicles
• +4 more

Pedro Urbano Lima is a Full Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (University of Lisbon). His research focuses on Systems, Decision, and Control, with expertise in autonomous systems and robotics. He teaches courses such as 'Autonomous Systems' and supervises integrative projects in electrical and electronic engineering. Affiliation: Institute of Systems and Robotics (ISR) Emails: pedro.lima@tecnico.ulisboa.pt , pal@isr.ist.utl.pt His academic work emphasizes control systems, decision-making algorithms, and the development of autonomous technologies. He contributes to both teaching and research in the field of electrical and computer engineering. Alternative page: http://omni.isr.ist.utl.pt/~pal

• Systems and Control
• Autonomous Systems
• Robotics
• +3 more

Eric Paulos is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, directing the Hybrid Ecologies Lab, Master of Design program, CITRIS Invention Lab, and co-directing the Swarm Lab. He holds faculty appointments at the Berkeley Center for New Media and Jacobs Institute for Design Innovation. He earned his PhD in Electrical Engineering and Computer Science from UC Berkeley, where he pioneered internet tele-operated robots including Space Browsing blimps and Personal Roving Presence devices. Paulos is a foundational figure in urban computing (coined in 2004) with research spanning critical making, physical computing, and sustainability-focused design. His work consistently bridges Human-Computer Interaction with social justice, emphasizing inclusive prototyping and the societal implications of emerging technologies through hands-on making practices. His recent publications examine hybrid materials as design mediums, failure-mitigation in creative workflows, and light as computational material, revealing a trajectory toward empowering creators through accessible tool development and critical reflection on technological embodiment. No scientific awards were explicitly documented in the source material. He has advised seven PhD students including Katherine Song (2024), Molly Nicholas (2022), Sarah Sterman (2022), Rundong Tian (2021), Christine Dierk (2020), Cesar Torres (2019), and Joanne Lo (2016), with current recruitment for 2026 focusing on technical prototyping skills and equity-centered innovation in the Hybrid Ecologies Lab. His leadership spans the Hybrid Ecologies Lab (critical making research), Swarm Lab (collaborative robotics), and CITRIS Invention Lab (public fabrication space), fostering interdisciplinary work at the intersection of technology, art, and social impact through facilities like Jacobs Hall and the College of Environmental Design.

• Human-Computer Interaction
• New Media Arts
• Urban Computing
• +7 more

Dr. Cosmin Ioan Roman is a Lecturer at the Department of Mechanical and Process Engineering at ETH Zürich, affiliated with the Chair in Micro and Nanosystems since 2006. His research focuses on solid-state micro and nanotransducers, spanning from traditional Silicon micromachining to carbon nanotube-based (CNT) devices for bio-sensing applications, with an emphasis on energy-efficient transducer concepts. Doctoral Degree: National Polytechnic Institute of Grenoble (INPG) Roman's expertise lies in multi-physics and compact modeling of transducers. His work bridges materials science, semiconductor device physics, and biomedical sensing, utilizing advanced fabrication techniques for scalable sensor arrays on flexible substrates. The selected publications highlight his contributions to tactile sensing and cell rheology. His co-supervised doctoral thesis on carbon nanotube resonators demonstrates his interdisciplinary approach to nanoscale and biomedical systems.

• Microsystem Technology
• Nanotechnology
• Solid-State Sensors
• +4 more

Dr. Johnson Xuesong Shen is an Associate Professor at the School of Civil and Environmental Engineering , University of New South Wales . His work integrates Digital Twins , Building Information Modeling (BIM) , and Construction Automation with a focus on robotics, AI, and LiDAR/UAS technologies. Research Interests: Digital Twins, BIM, Construction Robotics, Emissions Modeling, LiDAR/UAS, Structural Health Monitoring Education: Ph.D. in Construction Engineering and Management, The Hong Kong Polytechnic University His publications span 2025–2005, emphasizing construction automation , environmental impact reduction , and innovative tunneling solutions . Recent work includes IoT-Bayes fusion for real-time safety monitoring and life cycle analysis of construction waste. Scientific Awards: Vice Chancellor's Award for Teaching Excellence, UNSW, 2014 Best PhD Student Paper Award, CONVR, UK, 2013 Postdoctoral Fellowship, University of Alberta, 2011-2013 Best Paper Award, ASCE Construction Research Congress, 2010 Dr. Shen mentors 9 PhD candidates in areas like 3D object detection , fuel consumption modeling , and UAV-based LiDAR . His grants include $5.98M from the Australian Research Council (2022–2027) for resilient infrastructure systems and projects on modular construction and intelligent tunneling .

• Digital Twins
• Building Information Modeling (BIM)
• Construction Automation
• +5 more