海角社区

PhD in computer science.
Professional interests: neural network learning models, neurocognitive and neurohybrid systems, evolution of adaptive systems and evolutionary algorithms, neurocontrollers, robotics.
Burtsev leads the team behind DeepPavlov, Russia鈥檚 one and only conversational AI technology.
Burtsev co-authored more than 20 research papers published in the high-impact journals Nature, Artificial Life, and the Lecture Notes in Computer Science series, among others.

Prof. Loianno is an assistant professor at the New York University and director of the Agile Robotics and Perception Lab working on autonomous Micro Aerial Vehicles. Prior to NYU he was a lecturer, research scientist, and team leader at the General Robotics, Automation, Sensing and Perception (GRASP) Laboratory at the University of Pennsylvania. He received his BSc and MSc degrees in automation engineering, both with honors, from the University of Naples "Federico" in December 2007 and February 2010, respectively. He received his PhD in computer and control engineering focusing in robotics in May 2014. Dr. Loianno has published more than 70 conference papers, journal papers, and book chapters. His research interests include visual odometry, sensor fusion, and visual servoing for micro aerial vehicles. His expertise is in the area of agile autonomy for small-scale aircrafts. He received the Conference Editorial Board Best Reviewer Award at ICRA 2016, National Italian American Foundation (NIAF) Young Investigator Award 2018. He was the program chair for IEEE SSRR 2019, 2020, and will be the general chair for SSRR 2021. He has organized multiple workshops on Micro Aerial Vehicles during IROS conferences and created the new International Symposium on Aerial Robotics (ISAR). His work has been featured in a large number of renowned international news and magazine.

Professor Scott is Director of the Interface Analysis Centre (IAC) in the School of Physics at the University of Bristol, and lead for the newly established National Nuclear User Facility for Hot Robotics. He is also Co-Director (Science) of the South West Nuclear Hub, which provides a focus for civil nuclear research, innovation, and skills in the southwest of the UK, bringing together a strategic alliance of academic, industrial, and governmental members. Professor Scott鈥檚 research expertise is around the detection and characterization of nuclear materials, to aid the prediction of their behavior in engineered and environmental scenarios. This includes a specific strand of activity relating to nuclear robotics and sensors. He works closely with the nuclear industry in the UK and overseas to deliver characterization and decontamination solutions for nuclear decommissioning. Research has been funded in association with a variety of organizations including the AWE, CERN, Sellafield and EDF with complementary funding from EPSRC, STFC, NERC, NATO, the Royal Society and Royal Academy of Engineering.

Education
2000 - MSci Geology, University of Bristol, 
2005 - PhD Uranium Geochemistry, University of Bristol (Commendation for excellence)

Accomplishments
2012 - present - Academic lead for the Sellafield Centre of Expertise in Uranium and Reactive metals, 
2014 - RAEng ERA award for innovation for Advanced Airborne Radiation Monitoring (AARM) system, 
2017 - Special advisor to the House of Lords, March 2021 - UKAEA / Royal Academy of Engineering Research Chair in Advancing the Fusion Energy Fuel Cycle

Professor Jonathan Rossiter is Head of SoftLab, the Soft Robotics Group in the Bristol Robotics Laboratory. He leads on the development of smart materials and highly flexible soft robots for applications ranging from human health and environmental protection to construction and smart clothing. His work includes major research projects on soft robotic implantable medical devices, power trousers, and printable, biodegradable and edible robots. His work on environmental protection and low-cost healthcare includes collaborations with India and Africa, tracking and removing pollutants in waterways and investigating low cost prosthetic interfaces. His core soft robotics technologies have been extended to investigate the state of pipes, ducts and roads. Professor Rossiter's background is in artificial intelligence, electrical engineering, computer science and engineering mathematics. He was awarded a Royal Society Fellowship to study robots in Japan and a EPSRC Research Fellowship. His current post is funded by a Royal Academy of Engineering Chair in Emerging Technologies award, and aims to make soft robotics ubiquitous. He has presented a Ted Talk on 'A Robot That Eats Pollution', which has had more than 1.3 million views, and has had significant global media interest in his work. Most prominently, his project on the use of 鈥榮mart trousers鈥� received widespread acclaim, for its approach to using artificial muscles to improve the lives of people with mobility problems.

Michael Nizich is the director of the Entrepreneurship and Technology Innovation Center (ETIC) and an adjunct assistant professor of computer science at New York Institute of Technology. He has more than 25 years of professional experience in information technology in a variety of industries, including aviation, education, law enforcement, biotechnology, and cybersecurity. Nizich has held IT leadership positions in both private and publicly held companies.

With more than 10 years of college-level teaching experience, Nizich holds a Ph.D. in Information Studies from Long Island University, a master鈥檚 degree in Technology Systems Management from Stony Brook University, and a bachelor鈥檚 degree in Computer Information Systems from Dowling College.

Through ETIC programs, Nizich regularly connects both domestic and international students with internships and full-time positions in cybersecurity. He also directs New York Tech鈥檚 Center of Academic Excellence for Cybersecurity Education, designated by the U.S. Department of Homeland Security and the National Security Agency, and serves as a member of the CTEA committee for cybersecurity for Suffolk County Community College.

Egerstedt鈥檚 research pursuits center on control theory and robotics. His work has resulted in innovations in remote environmental monitoring and precision agriculture, and he has worked extensively on the control and coordination of complex networks, such as multirobot systems, mobile sensor networks and cyber-physical systems. He led the creation of the Robotarium, a remotely accessible swarm robotics lab used by thousands of researchers around the world. He also helped develop SlothBot, a hyper-energy-efficient environmental monitoring robot. Egerstedt is a fellow of the Institute of Electrical and Electronics Engineers and the International Federation of Automatic Control as well as a member of the Royal Swedish Academy of Engineering Sciences.

Thomas Asmuth, associate professor, teaches digital and experimental media.

Asmuth is a transdisciplinary artist whose practices are influenced by the intersections of art and science, identity and robotics.

Asmuth studied physics in college, but exposure to the arts initiated a journey where science and art coexist. In his work, he uses a mixed-methodologies approach to affect innovation or gain new insights. An example of this concept is his exploration of sound. His project 鈥淥tto鈥檚 Ghost鈥� is an installation of 300 autonomous units that constructs a soundscape that tracks the movement of time, thereby creating an ecosystem of natural input and emergent technological response. This project debuted at the 2013 Art in Odd Places in Greensboro, North Carolina.

An advocate of transdisciplinary collaboration, he often involves other artists, engineers and scientists in his work. He is collaborating with artists and environmental scientists at UWF and the Virginia Commonwealth University on 鈥淭urbidity Paintings,鈥� a project funded by the Florida Research Fellowship. In May 2016, Asmuth and his team presented the concept for their work at the 22nd International Symposium of Electronic Art in Hong Kong.

Asmuth has exhibited his work and collaborations in national and international venues, including the 17th International Symposium on Electronic Art in Istanbul; the Laguna Art Museum in California; Zer01 Biennial (2006, 2008 and 2012) in San Jos茅, California; and the Francis Tang Teaching Museum in Saratoga Springs, New York.

Dr. Hakki Erhan Sevil received his Doctor of Philosophy degree in Mechanical Engineering from the University of Texas at Arlington (UTA), and his Bachelor of Science and Master of Science degrees in Mechanical Engineering from Izmir Institute of Technology. He had over 4 years of research experience at Izmir Institute of Technology, and he was a Visiting Researcher in Service Automation and Systems Analysis (Service d'Automatique et d'Analyse des Systemes - SAAS) Laboratory at Universite Libre de Bruxelles (ULB) in 2009. Between 2009 and 2013, he was conducting research in Computer-Aided Control System Design Laboratory (CACSDL) and Autonomous Vehicles Laboratory (AVL) at UTA.

Before joining University of West Florida (UWF) in 2018, he has worked as a Research Scientist in the Automation & Intelligent Systems Division at the University of Texas at Arlington Research Institute (UTARI) between 2014 and 2018. His research interests include robotics, guidance and navigation, fault detection and isolation, bio-inspired and evolutionary computational methods, and distributed behavior models for multi-agent systems. Dr. Sevil has authored/co-authored more than 45 journal and conference papers, and book chapters, and he has been involved in 10 funded projects as a researcher. Besides working on the funded projects as key personnel, Dr. Sevil also has been the PI and Co-PI of various internal and external projects, sponsored by agencies, including NSF, NASA, ARL, and ONR. His recent work includes resilient and intelligent robotic systems, cooperative multiagent systems, computer vision applications for mobile robots, and advanced guidance and navigation techniques

Degrees & Institutions:
Ph.D. Mechanical Engineering, University of Texas at Arlington
M.S. Mechanical Engineering, Izmir Institute of Technology
B.S. Mechanical Engineering, Izmir Institute of Technology

Gravish’s research focuses on better understanding the challenges of movement and manipulation in micro-scale robotic and biological systems. Current understanding of locomotion and manipulation in micro-scale systems lags behind our ability to create devices at these scales (i.e. microrobots). We also lack an intuitive understanding of the strategies animals use for movement and manipulation at these scales.  To bridge this knowledge gap between manufacturing and movement, Gravish studies high-speed, robust and agile locomotion in microscale biological systems such flying and running insects and looks for the principles of dynamic locomotion at the micro-scale. In addition, Gravish manufactures at-scale microrobots to test locomotion and manipulation hypotheses. His research takes an integrative approach, through quantitative biology experiments and robotics manufacturing and experiments, based on the mechanics driving the interaction between the animals and their environment when they move. He aims to discover principles for robust movement in complex environments with limited sensing and control. Gravish’s overarching goal is to expand our knowledge of movement and manipulation capabilities in micro-scale biological and robotic systems through novel manufacturing and experiments.

Christensen is a national policy leader for the field of robotics and has testified before Congress on the subject. He is the head of a nationwide effort to draft a robotics roadmap and explore the field’s potential to transform U.S. society. Most recently, he served as Director of the Institute for Robotics and Intelligent Machines at Georgia Tech. Christensen's research covers computer vision, artificial intelligence and robotics, and his primary emphasis has been on a systems-oriented approach to machine perception, robotics and design of intelligent machines. He and his team seek solutions that are theoretically sound, with well-defined implementations that can be evaluated in realistic situations. He has worked with a number of industry partners, including Boeing, KUKA, iRobot, BMW and Apple.


 
Before joining UC San Diego as director of the Contextual Robotics Institute at the Jacobs School, he was the founding director of Institute for Robotics and Intelligent machines (IRIM) at Georgia Institute of Technology (2006-2016). He has published more than 350 contributions across AI, robotics and vision. Christensen received the Engelberger Award 2011, the highest honor awarded by the robotics industry. He was also awarded the "Boeing Supplier of the Year 2011" with 3 other colleagues at Georgia Tech. Christensen is a fellow of American Association for Advancement of Science (AAAS) and Institute of Electrical and Electronic Engineers (IEEE). He received an honorary doctorate in engineering from Aalborg University 2014.