جست‌وجوی استاد و پژوهشگر

Michael Richard Benjaminمشاهده پروفایل

پژوهشگر

• Autonomous marine vehicles
• Multi-objective optimization
• Collision avoidance systems
• +۶ مورد دیگر

Michael Richard Benjamin is a Principal Research Scientist at the Massachusetts Institute of Technology (MIT) in the Department of Mechanical Engineering, where he leads the Marine Autonomy Lab within the Center for Ocean Engineering. With over 25 years of experience in marine autonomy research, his work bridges theoretical control algorithms with practical field implementations of autonomous marine vehicles. Professor Benjamin's research focuses on behavior-based architecture for autonomous decision-making using multi-objective optimization with interval programming. His work centers on developing robust collision avoidance systems for unmanned surface vehicles that comply with international maritime regulations (COLREGS), swarm coordination of multiple autonomous marine vehicles, and open-source autonomy frameworks. He founded the MOOS-IvP open source project at MIT in 2007, which has become a significant framework in marine autonomy research and development. His recent publication record shows remarkable productivity, with 15 publications from 2023-2025 covering diverse aspects of marine autonomy including multi-agent systems, adaptive control, sensor integration, and field-deployable low-cost autonomous vehicles. These publications demonstrate a progression from fundamental control theory to practical implementation and field testing. 2014 International Maritime RobotX Challenge Grand Prize Winner Founder of MOOS-IvP open source project (2007) Multiple patents in autonomous vehicle control Professor Benjamin actively mentors students through course 2.680: Unmanned Marine Vehicle Autonomy, Sensing and Communications and has guided students to competition success. His research is supported by sustained funding evidenced by continuous publication output and field deployments. The Marine Autonomy Lab provides students with hands-on experience developing and testing autonomous marine systems in real-world conditions on the Charles River and other waterways.

Nate Ciraمشاهده پروفایل

استادیار

• Microfluidics
• Bioengineering
• Systems and Synthetic Biology
• +۶ مورد دیگر

Nate Cira is an Assistant Professor at the Meinig School of Biomedical Engineering within the College of Engineering at Cornell University. His research focuses on developing microfluidic technologies to study complex biological systems, including microbial communities, genetic interactions, and cellular processes. He leads the Cira Lab, which emphasizes high-throughput experimentation to address emergent properties in biological systems. Education B.S. in Biomedical Engineering, Microbiology, Biochemistry, Biology, and Molecular Biology from the University of Wisconsin - Madison (2011) M.S. and Ph.D. in Bioengineering from Stanford University (2013 and 2017) Research Interests His work spans Microfluidics and Microsystems , Systems and Synthetic Biology , and Biomedical Imaging . He designs tools to study microbial interactions, drug resistance, and cellular behavior at unprecedented scales. Recent projects include engineering droplet-based systems for studying bacterial evolution and developing automated platforms for high-throughput screening. Awards and Honors Rowland Fellow (2017-2022) Siebel Scholar (2015-2016) NSF Graduate Research Fellowship (2011-2014) APS DFD Gallery of Fluid Motion Winner (2013) Advising and Grants Dr. Cira advises students in Biomedical Engineering and Microbiology graduate programs. His lab has secured funding from sources like the NSF and private foundations to advance microfluidic technologies for biomedical applications. Labs and Teams The Cira Lab collaborates with interdisciplinary teams to bridge engineering and biology, with a focus on translational research for healthcare and environmental challenges.

• Operations Research
• Data Science
• Supply Chain Optimization
• +۶ مورد دیگر

Dr. Amir Hossein Ansaripoor is a Senior Lecturer at Curtin University's School of Management and Marketing (Faculty of Business and Law), specializing in Supply Chain & Operations Management. He holds a Ph.D. in Business Administration from ESSEC Business School (France/Singapore) and a Master’s in Industrial Engineering from Sharif University of Technology (Iran). His research focuses on applying Operations Research, Data Science, and Industry 4.0 technologies to address challenges in supply chain optimization, agribusiness, sustainable energy, and healthcare operations. He has developed courses like MGMT2017 and MGMT3018, integrating tools like AnyLogistix for immersive student training. His research has been published in top-tier journals such as the European Journal of Operational Research and Transportation Research Part C. Notable contributions include work on blockchain in supply chains, closed-loop supply chains, and evolutionary algorithms for agricultural routing. He has received awards including Curtin's Early Career Researcher Excellence Award (2017) and ESSEC's Ph.D. Fellowship (2009–2013). Amir actively supervises PhD and MPhil students and maintains collaborations with institutions in France, Italy, and Australia. Professional Memberships: INFORMS, ASOR, SCLAA Grants: British Telecom Ph.D. Research Grant (2011–2013) Amir leads research into resilient supply chain design, Industry 4.0 applications, and net-zero food systems. His lab focuses on merging advanced analytics with real-world operational challenges, emphasizing sustainability and technological adoption.

Aminul Ahmedمشاهده پروفایل

مدرس ارشد

• Neuroregeneration
• Gene Therapy
• Stem Cell Research
• +۳ مورد دیگر

Dr. Aminul Ahmed is a Senior Lecturer in Neurosurgery and Consultant Neurosurgeon at King’s College Hospital, affiliated with the School of Neuroscience at King’s College London. His research focuses on advanced therapeutics for traumatic brain injury (TBI) and spinal cord injury (SCI), including stem cell transplantation, gene therapy, and neural tissue regeneration. He leads translational research initiatives aimed at bridging preclinical findings to clinical applications, such as the development of vector-delivered gene therapies and collaborations with institutions like Imperial College London and University College London. Dr. Ahmed holds an MB/PhD and FRCS (SN) qualification, emphasizing his clinical and research expertise. His work includes pioneering projects like the £9.5m Medical Research Council-funded platform for TBI research and contributions to observational studies on spinal surgery outcomes. He collaborates with multidisciplinary teams to address neuroinflammation and neuroregeneration challenges, with a focus on clinical translation through platforms like the TBI-REPORTER data portal. Key collaborations include partnerships with Prof. Elizabeth Bradbury (King’s), Prof. Molly Stevens (Imperial), and Prof. James Phillips (UCL). His research has been published in journals such as Neurotrauma Reports and Journal of Neurotrauma , addressing topics like Sonic Hedgehog signaling in neural repair and stem cell-based cognitive deficit amelioration. Dr. Ahmed’s clinical practice integrates innovative therapies, such as navigated transcranial magnetic stimulation (nTMS) for SCI patients and robotic spinal navigation systems (Vine4Spine). He actively participates in national initiatives, including the British Spine Registry, to improve surgical outcomes and advance understanding of spinal conditions.

Scott DeLoachمشاهده پروفایل

استاد

• Multiagent Systems
• Distributed Systems
• Software Engineering
• +۵ مورد دیگر

Scott DeLoach is a Professor and Department Head in the Department of Computer Science at Kansas State University's College of Engineering. He holds a B.S. in Computer Engineering from Iowa State University (1982), and M.S. (1987) and Ph.D. (1996) degrees in Computer Engineering from the Air Force Institute of Technology. Before joining K-State in 2001, he served 20 years in the U.S. Air Force, working at the Aeronautical Systems Division, 544th Strategic Intelligence Wing, Air Force Research Laboratory, and Air Force Institute of Technology. He became interim department head in 2014 and permanent head in 2016, serving until his scheduled retirement in June 2025. His research applies software engineering methodologies to intelligent, adaptive multiagent and distributed systems, with current focus areas including: Runtime/design-time models for smart grid and power distribution systems Adaptive network security using runtime models Formal specification of agent-oriented systems Self-tuning autonomous systems through organizational policies DeLoach's publications (20+ journal articles, 75+ conference papers) predominantly explore multiagent systems, adaptive security, and formal verification methods, demonstrating consistent focus on theoretical foundations with practical applications in critical infrastructure. Awards & Honors: National Science Foundation CAREER Award (2004) K-State College of Engineering Frankenhoff Outstanding Research Award (2011) K-State Outstanding Department Head Award (2021) He has advised over 30 graduate students, including 7 Ph.D. graduates, primarily through the Multi-Agent & Cooperative Robotics (MACR) Laboratory . His leadership includes editorial duties for the International Journal of Agent-Oriented Software Engineering (since 2005) and participation in numerous program committees.

Robert Reynoldsمشاهده پروفایل

استاد

• Artificial Intelligence
• Game Programming
• Cultural Algorithms
• +۲ مورد دیگر

Robert Reynolds is a Professor of Computer Science in the College of Engineering at Wayne State University. His research focuses on Artificial Intelligence, Cultural Algorithms, Evolutionary Computation, and Game Programming. He teaches courses including Game Programming and Design, and Artificial Intelligence at both graduate and undergraduate levels. Contact information is available through the college email aa0057@wayne.edu. Research explores computational modeling of social systems, optimization algorithms, and AI applications in archaeology and environmental studies. Publications demonstrate consistent innovation in algorithm design and cross-disciplinary applications.

Sheridan Houghtenمشاهده پروفایل

استاد

• Combinatorial Optimization
• Algorithms
• Computational Intelligence
• +۵ مورد دیگر

Sheridan Houghten is a Professor in the Department of Computer Science at Brock University, part of the Faculty of Mathematics & Science. He holds a BSc, MSc, and PhD in Mathematics and Computer Science from Concordia University. His research focuses on combinatorial optimization, computational intelligence, and bioinformatics, with applications in coding theory, graph compression, and epidemiological modeling. He actively supervises graduate and undergraduate students in these areas. Education: BSc (Mathematics) from Concordia University (1991); MSc (Computer Science) from Concordia (1993); PhD (Computer Science) from Concordia (1999). Research interests include developing algorithms for bioinformatics problems (e.g., disease gene association, gait analysis in Parkinson's patients), optimizing error-correcting codes, and using evolutionary computation for network modeling. His work bridges theoretical computer science with practical applications in healthcare and cybersecurity. Recent research trends involve epidemic modeling using weighted networks, AI-driven cybersecurity analysis, and compression techniques for game graphs and biomedical data. He has contributed to tools like GADGIT for disease gene identification and collaborated on projects analyzing epidemic variants and vaccination strategies. Advising and grants: Supervised over 40 students, emphasizing interdisciplinary approaches. Active in IEEE committees including the Computational Intelligence Society. Coaches Brock's International Collegiate Programming Contest teams. Labs/Teams: Leads a research group exploring computational intelligence applications in bioinformatics, cybersecurity, and network science. Collaborates with interdisciplinary teams on projects involving evolutionary algorithms and biomedical data analysis.

Gerald Matthewsمشاهده پروفایل

استاد

• Human Factors
• Applied Cognition
• Stress Measurement
• +۵ مورد دیگر

Gerald Matthews is a Professor of Psychology at George Mason University, with prior faculty positions at the University of Dundee (Scotland) and the University of Cincinnati. He holds a BA (1980) and PhD (1984) from the University of Cambridge. His research focuses on human factors, stress measurement, workload assessment, driver behavior, and individual differences in performance. He developed the Dundee Stress State Questionnaire and contributed to models linking cognition-emotion dynamics to Metacognitive Therapy. Key affiliations include roles as Specialty Chief Editor for Frontiers in Psychology (Social Psychology and Personality Section), Associate Editor for Human Factors and Personality and Individual Differences , and former President of IAAP Division 13 and ISSID. His work is funded by DoD agencies, NRC, and IARPA. Awards include IAAP Fellowship and book accolades from the British Psychological Society and AAP. Research spans automation dependency in UAS operations, fatigue in automated vehicles, and human-robot teaming. He teaches Advanced Topics in Cognitive Science (PSYC-768-003). Current research emphasizes applying human factors principles to emerging technologies like extended reality training systems and AI-based security tools. Key Research Themes: Human-Machine Teaming, Multidimensional Stress Assessment, Cognitive-Affective Interactions Recent Focus: AI ethics, insider threat detection, and operator performance in nuclear control rooms

Marian Machمشاهده پروفایل

دانشیار

• Symbolic Artificial Intelligence
• Evolutionary Computation
• Ontological Engineering
• +۵ مورد دیگر

Marian Mach is an Associate Professor at the Department of Cybernetics and Artificial Intelligence, Technical University of Kosice. He holds a Ph.D. (1992) and habilitation in Artificial Intelligence (2001). His research focuses on symbolic AI, evolutionary computation, knowledge modeling, and ontological engineering. He has led national and EU projects like Modermed (2023-2027) and DL4VISION (2022-2025), addressing toxic behavior detection and deep learning for image processing. Education: Ph.D. in Technical Cybernetics (1992), TU Kosice Habilitation in AI (2001), TU Kosice M.S. in Technical Cybernetics (1985), TU Kosice Research Interests: Evolutionary algorithms Constraint satisfaction problems Knowledge representation Machine learning applications in social media analysis Robotics and intelligent systems Teaching: Courses include Machine Learning II, Evolutionary Algorithms, and Application of Logic in Intelligent Systems. He has developed over 20 courses since 1987. Grants & Projects: EU-funded initiatives: VICINITY (2016-2019), PICASO (2016-2019) National grants: APVV-22-0414 (2023-2027), VEGA 1/0394/22 (2022-2025) Labs/Teams: Involved in AI Center at TU Kosice and collaborative projects on cloud-based robotics and semantic web technologies.

Paco Calvoمشاهده پروفایل

استاد

• Plant Cognition
• Philosophy of Biology
• Cognitive Science
• +۳ مورد دیگر

Paco Calvo is a Professor of Philosophy of Science at the University of Murcia, Spain, and Director of the Minimal Intelligence Lab (MINT Lab). His work focuses on plant cognition and intelligence, blending insights from cognitive science, philosophy, and biology to challenge traditional views of animal-centric intelligence. He leads interdisciplinary research on plant behavior, decision-making, and adaptive responses, emphasizing plant sentience and interspecies cognitive comparisons. Calvo’s research areas include Plant Signaling & Behavior, Plant Cognition & Sentience, and the Philosophy of Plant Neurobiology. His lab, MINT Lab, investigates minimal cognition in plants through experimental and theoretical approaches. Notable contributions include the book *Planta Sapiens: The New Science of Plant Intelligence* (2023) and co-editing volumes like *The Routledge Companion to Philosophy of Psychology* (2020). Recent publications highlight plant sentience debates, protein-based intelligence markers, and plant-inspired robotics. Calvo actively engages in public discourse through media appearances, podcasts (e.g., *Behind Greatness Podcast*), and events like *Human Entities 2025* in Lisbon. His work advocates for a broader, ecologically grounded understanding of intelligence across life forms.

Robin D Hansonمشاهده پروفایل

دانشیار

• Health economics
• Political economy
• Health policy
• +۵ مورد دیگر

Robin D. Hanson is an Associate Professor of Economics at George Mason University, having earned his Ph.D. in Social Sciences from Caltech in 1997. Previously a postdoctoral fellow at UC Berkeley, he specializes in health policy, regulation, formal political theory, and futuristic studies involving AI and extraterrestrial intelligence. Education: Ph.D. in Social Sciences (Caltech, 1997), M.Phil. and M.A. (Yale University). His research examines hidden motivations in human behavior, the economics of future technologies like brain emulations, and strategic approaches to interstellar communication. Recent work analyzes decision-making under uncertainty, such as cost-benefit frameworks for contacting alien civilizations and ethical implications of exponential technological growth. Professor Hanson's publications reflect interdisciplinary trends, merging economics with cognitive science, evolutionary biology, and existential risk management. Key themes include prediction market design, self-deception mechanisms, and civilizational development trajectories. He has supervised doctoral students including Kenneth Lee (2011) and Iwona Kicinger (2009), focusing on empirical health economics and insurance policy analysis.

Eric Tytellمشاهده پروفایل

دانشیار

• Biomechanics
• Neural Control of Locomotion
• Fish Swimming
• +۵ مورد دیگر

Eric Tytell is an Associate Professor in the Department of Biology at Tufts University, within the School of Arts and Sciences. He holds a PhD in Biology from Harvard University (2005), an MPhil in Zoology from the University of Cambridge (1999), and a BA in Biology and Physics from the University of North Carolina (1998). His research focuses on the biomechanics and neural control of locomotion in fishes, particularly how they generate propulsive forces and maintain stability in dynamic environments. His work integrates experiments, computational modeling, and robotics to explore feedback loops between sensory input, neural circuits, and body mechanics. Key research themes include the role of the lateral line system in schooling behavior, the biomechanics of rapid turns, and the design of bio-inspired swimming robots. He leads the Tytell Laboratory, which collaborates on projects involving fluid dynamics, muscle physiology, and evolutionary adaptations. Notable grants include NSF-funded studies on locomotor biomechanics and Army Research Office projects on neuromechanical control. He teaches courses such as Experiment in Physiology and advises graduate students in neurobiology and ecology.

Itshak Tkachمشاهده پروفایل

پژوهشگر

• Swarm Intelligence
• Human-Robot Collaboration
• Robotics
• +۳ مورد دیگر

Dr. Itshak Tkach is a Visiting post-doctoral researcher in the Department of Computing at Goldsmiths, University of London. His research focuses on swarm intelligence, human-robot collaboration, and robotics. He collaborates with Tim Blackwell on swarm intelligent optimization projects. Tkach holds a PhD in Industrial Engineering from Ben-Gurion University of the Negev, Israel, with a focus on AI and swarm intelligence, alongside an MSc in intelligent systems (human-robot collaboration) and a BSc in Mechanical Engineering. His work includes co-authoring the book Distributed Heterogeneous Multi Sensor Task Allocation Systems (SpringerNature, 2020) and numerous journal articles and conference papers in control systems and robotics. Tkach serves on the board and as a reviewer for several leading journals. Recent research trends emphasize task allocation systems in multi-agent environments, fault-tolerant sensor networks, and optimizing AI-driven algorithms. His publications span theoretical frameworks, algorithm modifications (e.g., bees algorithm variants), and practical applications in law enforcement and supply chain security. He actively contributes to the academic community through editorial roles and peer review, maintaining a focus on advancing collaborative robotics and swarm-based solutions.

Robyn A Grantمشاهده پروفایل

دانشیار

• Somatosensation
• Whisker Biomechanics
• Comparative Neurobiology
• +۴ مورد دیگر

Dr. Robyn A Grant is a Reader in Comparative Physiology & Behaviour at Manchester Metropolitan University and Editor-in-Chief of Mammal Review . Her research investigates facial touch sensing mechanisms (whiskers in mammals, rictal bristles in birds) across four domains: behavioral associations, anatomical diversity, evolutionary origins, neurodegeneration impacts, and bio-robotic applications. She directs multiple funded projects including 'Walk on the Wild Side: Canid Gait' (Evolution Education Trust), 'MMMMammalWhiskers' (Royal Society APEX), and 'Whisker TacTip' (EPSRC). She mentors postdoctoral researchers like Dr. Alyx Milne (BBSRC Fellow) and leads public engagement initiatives such as the Royal Academy of Engineering's 'Bedtime Stories for Young Engineers'. Grant teaches comparative anatomy and behavior across undergraduate and postgraduate programs, leads the MSc Zoos & Conservation unit with Chester Zoo, and directs the MSc Zoo Conservation Biology program. As a Fellow of the Higher Education Academy, she emphasizes experiential learning in courses like 'Fieldtrip', 'Brain and Behaviour', and 'Comparative Anatomy, Physiology & Behaviour'. Honors include Pew and Joan Mitchell Fellowships, dual Pennsylvania Arts Council grants, and Software Sustainability Institute Fellowship. She frequently contributes to scientific media (BBC Springwatch, Discovery Channel) and serves on review panels for BBSRC, BES, MRC, and NIH.

Merryn Constableمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Psychology
• Social Cognition
• Human-Robot Interaction
• +۳ مورد دیگر

Merryn Constable is a Research Fellow at Northumbria University , focusing on cognitive psychology, human-robot interaction, and healthcare performance optimization. Her work explores self-other attribution in social environments and its implications for technology-assisted human performance. Education : PhD in Arts (University of Queensland), BA (Hons) in Business Studies, PGCert in Psychology Research Themes : Self-other attribution mechanisms Human-robot interaction dynamics Healthcare performance optimization Evolutionary and modern social conventions Recent Publications highlight interdisciplinary applications of AI in healthcare, comparative studies of joint action in primates, and reinforcement learning for human-robot handovers. Grants : Funded by DSTL, The Royal Society, and Australian Government (Department of Education and Training). Professional Affiliation : Associated with Social Mind and Body Group (Central European University) and Action and Attention Lab (University of Toronto).