جست‌وجوی استاد و پژوهشگر

Greg Formosaمشاهده پروفایل

مدرس

• Robotic Medical Devices
• Wheeled Robot Dynamics
• Medical Device Design
• +۳ مورد دیگر

Greg Formosa is a Lecturer in the Department of Robotics at the University of Michigan. His research focuses on mechanical design engineering for robotic medical devices, wheeled robot dynamics, and STEM education methodologies. He specializes in the design, fabrication, and control of medical robotics, particularly in endoscopic and gastrointestinal applications. His work emphasizes autonomous navigation systems, state estimation algorithms, and clinical validation of robotic platforms. Key contributions include the development of modular simulation tools like MESA and advancements in real-time navigation for medical robotics. Formosa also engages in pedagogical research to improve design engineering education. Publications span from 2010 to 2024, with a recent focus on autonomous endoscopy systems and robotic capsule design. Earlier work includes acoustics research in brass instruments, showcasing interdisciplinary interests.

Yasaman Ghasempourمشاهده پروفایل

استادیار

• Wireless Communication
• Terahertz Networks
• Millimeter-Wave Systems
• +۷ مورد دیگر

Yasaman Ghasempour is an Assistant Professor in the Department of Electrical and Computer Engineering at Princeton University, affiliated with the School of Engineering and Applied Science. She joined Princeton in Spring 2021 and leads the Smart Wireless Agile Networks Lab. Her research focuses on next-generation wireless communication and sensing systems, particularly in millimeter-wave (mmWave) and terahertz (THz) networks, IoT, robotic wireless networks, and security. She holds a Ph.D. and M.Sc. in Electrical and Computer Engineering from Rice University (2020 and 2016, respectively). Education: Ph.D., Rice University (2020); M.Sc., Rice University (2016) Labs: Smart Wireless Agile Networks Lab Her research spans adaptive mmWave wireless networks , THz communication/sensing systems , intelligent surfaces , and cross-layer security . She develops theoretical frameworks and experimental systems to enable ultra-fast, secure, and robust wireless networks. Notable contributions include metamaterial-based sensors for fruit ripeness, non-invasive wireless sensing, and security protocols against adversarial attacks. Awards include the NSF CAREER Award (2022), AFOSR Young Investigator Award (2024), and multiple best paper awards at ACM SenSys, IEEE WCNC, and ACM MobiCom. She advises over 10 graduate students, fostering innovation in wireless systems and security. Grants: NSF CAREER, AFOSR Young Investigator, Princeton SEAS Faculty Award Key Projects: Sub-THz metamaterial stickers, robotic perception via wireless sensing, secure THz networks

• Strategic Management
• Organizational Behavior
• Innovation Management
• +۵ مورد دیگر

Rocío Aguilar Caro is a full-time Lecturer in the Department of Organization of Enterprises and Marketing at the Universidad Pablo de Olavide's Faculty of Business. She specializes in strategic management, innovation, and organizational behavior, with a focus on entrepreneurship, gender studies, and educational methodologies. Her teaching responsibilities include courses such as 'Strategic Management' (undergraduate), 'Research Skills for Dissertation' (Business degree), and multiple postgraduate master's programs in business administration and human resources strategy. She actively advises students on master's theses through scheduled consultations. Dr. Aguilar Caro's research explores themes like venture signaling strategies, team dynamics, and flipped classroom effectiveness. Her work bridges theoretical frameworks with practical applications, spanning innovation success factors, investor decision-making, and workplace diversity impacts on creativity. Recent publications emphasize sustainable career paths for marginalized groups and resource management in turbulent environments. Her research project 'SEÑALES RETORICAS Y SUSTANTIVAS EN LA CARRERA HACIA UNA OFERTA PUBLICA INICIAL DE NUEVAS EMPRESAS AMBICIOSAS' examines communication strategies of new ventures targeting diverse investor bases. Though no awards are listed here, her prolific output across multiple disciplines highlights sustained academic engagement. Her teaching innovations include applying flipped classroom models to strategic management education and evaluating manipulative tools in engineering education. While advising details aren't explicitly stated, her postgraduate course involvement suggests active mentorship roles.

Vicent Girbés Juanمشاهده پروفایل

دانشیار

• Robotics
• Human-Robot Interaction
• Intelligent Vehicles
• +۱۲ مورد دیگر

Vicent Girbés Juan is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, Universitat de València. His research is centered in the HRI Human-Robot Interaction Group, where he contributes to advanced robotics, intelligent vehicles, and human-centered automation systems. He earned his PhD from Universitat Politècnica de València in 2016 with a thesis on clothoid-based planning and control in autonomous and manual-assisted driving systems, supervised by Dr. Josep Tornero Montserrat and Dr. Leopoldo Armesto Ángel. His research interests span robotics, control systems, path planning for UAVs, visible light communication, haptic feedback in teleoperation, and educational innovation in engineering. He has published extensively on smooth trajectory generation, dual-arm robot control, sensor fusion, and V2V communications. His recent work shows a growing emphasis on integrating pedagogical innovation with engineering education, including flipped evaluation, peer assessment, and hackathon-based programming learning. His publications from 2021 to 2024 reveal a dual focus: advancing industrial robotics and intelligent transportation systems, while simultaneously innovating in teaching methodologies and student engagement in higher education. Key technical areas include clothoid-based 3D path planning, cautious Bayesian optimization, VLC positioning, and haptic-assisted teleoperation. He actively collaborates on interdisciplinary projects involving human-robot cooperation, industrial automation, and educational technology, reflecting a commitment to both technological advancement and pedagogical excellence. His email is vicent.girbes@uv.es .

Vinayak S. Prabhuمشاهده پروفایل

استادیار

• Formal Methods
• Formal Verification
• Model Checking
• +۱۵ مورد دیگر

Vinayak S. Prabhu is an Assistant Professor in the Department of Computer Science at Colorado State University, where he conducts research in formal methods for cyber-physical systems. He holds a Ph.D. from the University of California at Berkeley and is supported by an NSF CAREER award. His research integrates formal verification, control theory, and software analysis to ensure the reliability of embedded and cyber-physical systems. His research interests include formal verification, model checking, temporal logics (especially Signal Temporal Logic), robustness in cyber-physical systems, conformance checking, hybrid and timed systems, multi-agent systems, scheduling, and security. He employs techniques from automata theory, logic, and software analysis to synthesize tools and algorithms for system development. His recent publications focus on monitoring and robustness of temporal logic specifications, with several papers published in top venues like HSCC, MEMOCODE, ECAI, and IEEE Transactions. His work demonstrates a strong trend in developing efficient, scalable, and quantitative methods for verifying complex real-time and hybrid systems. NSF CAREER Award Best paper award at MEMOCODE 2024 He advises several Ph.D. and M.S. students, including Bassem Ghorbel and Alperen Tercan, and has mentored numerous undergraduate researchers who have gone on to graduate programs at institutions like Duke and Michigan. He serves on program committees for major conferences like ICCPS and VMCAI and teaches courses such as Automata, Logic, and Computation, and Foundations of Formal Methods and Cyber-Physical Systems.

• Production Engineering
• Electrical Engineering
• Industry 4.0
• +۵ مورد دیگر

Dr. Andreas Zedler is a Researcher at Leuphana University Lüneburg's Institute for Production Engineering and Systems (IPTS), where he bridges practical craftsmanship with advanced scientific research. His unique career trajectory spans from electrical installation apprenticeship to doctoral work in technical optics, creating a distinctive perspective that informs both teaching and research. Apprenticeship: Electrical installer (1980s) Bachelor: Applied Automation Technology, Northeast Lower Saxony University of Applied Sciences Master: Applied Computing, Northeast Lower Saxony University of Applied Sciences/University of Wolverhampton Doctorate: Dr. rer. nat. in technical optics His research integrates hands-on engineering experience with cutting-edge academic inquiry, focusing on production engineering systems where he leads projects addressing Industry 4.0 challenges, material forming processes, and digital competence development. Zedler's work consistently connects theoretical frameworks with practical implementation, particularly in remote laboratory systems and AI-driven manufacturing optimization. Recent publications reveal a strong trend toward data-driven process optimization, with 60% of his recent work incorporating AI/ML methodologies applied to manufacturing challenges. His research spans materials science (particularly magnesium nanocomposites and copper conductors), sensor fusion systems, and educational technology for engineering education, demonstrating remarkable interdisciplinary range while maintaining focus on practical industrial applications. Teaching Award recognizing innovative pedagogical approaches Zedler actively mentors students through bachelor's and master's thesis supervision at IPTS, while leading multiple collaborative research initiatives including BMBF-funded projects like PROMINT_40 for women in STEM and TrICo for sustainable production communities. His work connects academic research with industry through SME partnerships focused on 5G implementation and digital transformation. He contributes to Leuphana's technical infrastructure development, particularly in remote laboratory systems for electrical engineering education and the 10 MN extrusion press facility for advanced materials research, supporting both educational programs and industrial collaboration projects.

Martin Schörnerمشاهده پروفایل

پژوهشگر

• Robotics
• Software Engineering
• Automation
• +۳ مورد دیگر

Martin Schörner is a Researcher at the Institute for Software & Systems Engineering within the Faculty of Applied Computer Science at the University of Augsburg, Germany, where he has been affiliated with the Chair of Software Engineering since 2019. His academic qualifications include: Master in Computer Science and Engineering (University of Augsburg, 2017-2019) Bachelor in Computer Science and Engineering (University of Augsburg, 2013-2017) His research centers on Software-driven Robotics and Automation , specializing in UAV-based inspection systems, distributed robot ensembles, and reconfigurable hardware architectures. His work bridges theoretical software engineering with practical robotics applications, focusing on autonomous navigation, emergency control systems, and semantic integration for industrial automation. Analysis of his 2020-2023 publications reveals a concentrated research trajectory in UAV inspection methodologies, featuring advancements in offline/online path planning, ROS 2 interfaces, and plug-and-play systems. Key thematic clusters include real-time route optimization for large-component inspection, emergency control architectures for UAV swarms, and semantic frameworks for hardware reconfiguration. No formal scientific awards or fellowships are documented in the available sources. While no student advisement records or specific grant funding details are publicly listed, his collaborative work with Prof. Wolfgang Reif and colleagues indicates active participation in institutional research initiatives. Current projects emphasize industrial automation through UAV ensembles and reconfigurable systems. He operates within the Software Engineering team at the Institute for Software & Systems Engineering (ISSE), which conducts fundamental and applied research under Prof. Reif's direction. The institute focuses on robotics software engineering, with applications in industrial inspection and autonomous systems development.

Palash Deyمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Parameterized Algorithms
• Approximation Algorithms
• +۷ مورد دیگر

Palash Dey is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology, Kharagpur. His research lies at the intersection of theoretical computer science and algorithmic game theory, with a primary focus on computational social choice, voting theory, and parameterized algorithms. His research interests include: Theoretical Computer Science Parameterized Algorithms Approximation Algorithms Algorithmic Game Theory Computational Social Choice Voting Theory Algorithmic Fairness Network Games His recent publications, spanning from 2023 to 2025, demonstrate a strong and consistent research trajectory in the analysis of voting systems, manipulation, and fairness. The articles focus on complex problems such as bribery, gerrymandering, rank aggregation, and networked public goods, primarily using tools from parameterized complexity and algorithmic game theory. Key venues for his work include AAMAS, IJCAI, AAAI, and Theoretical Computer Science, indicating a high impact in the fields of AI and theoretical computer science. His professional service includes being the Newsletter and Social Media Chair of the IEEE Kharagpur Section and serving on the Senior Program Committee for AAAI (2021-2024) and the Program Committee for AAAI, IJCAI, AAMAS, and COMSOC. He has also organized significant workshops such as CALDAM 2019 and GAME-ARTS. Palash Dey actively advises Ph.D. students, including Sipra Singh, Koustav De, Ashlesha Hota, and Narayan Sharma. He teaches courses such as Algorithms II, Randomized Algorithm Design, and Algorithmic Game Theory. His email is palash.dey@cse.iitkgp.ac.in.

• Automated vehicle systems
• Connected vehicles
• Mobility engineering
• +۵ مورد دیگر

Mauro Velardocchia is a Full Professor at the Polytechnic University of Turin , affiliated with the Department of Mechanical and Aerospace Engineering (DIMEAS) . With over 20 years of academic leadership, he specializes in automated vehicles, connected mobility systems, and advanced powertrain engineering . Research focus on vehicle dynamics, magnetic transmission systems, and energy-efficient automotive technologies Active in European and national research projects including OWHEEL, EFFEREST, and CliMAFlux Teaching contributions to Mechanical Engineering programs since 2000 His recent publications analyze autonomous off-road navigation, tracked vehicle dynamics, and digital twin technologies . Current research projects emphasize sustainable mobility (Goal 9), climate action (Goal 13), and engineering education (Goal 4). Key technical expertise in nonlinear vehicle modeling Leadership in EU-funded MSCA and Horizon Europe projects

Eva Böhmمشاهده پروفایل

استاد

• Value-Based Marketing
• Servitization
• Solution Selling
• +۵ مورد دیگر

Prof. Dr. Eva Böhm holds the Chair of Marketing and Value Creation at the University of Paderborn , specifically within the Faculty of Economics, Department 1: Management Marketing and Value Creation . Her work focuses on value-based marketing strategies that balance economic, ecological, and social stakeholder needs, with strong practical and international collaboration. Key research areas: Servitization, Solution Selling, Online Reviews, Product Returns, Suboptimal Food Waste Funded by Deutsche Forschungsgemeinschaft (DFG) and Institute for the Study of Business Markets (ISBM) Her quantitative-empirical research employs methods like structural equation modeling, experiments, and fsQCA to derive actionable insights for companies like BOMAG, Diebold Nixdorf . Recent work examines: 2023 Research: Suboptimal food retail promotions, dual impacts of online reviews 2022-2021: Monetary sales incentives in service innovation, solution selling dynamics, product return management Scientific recognition includes multiple Best Paper Awards at conferences like AMA, EMAC, and VHB-Jourqual rankings. She supervises corporate collaborations and integrates research into practice-oriented teaching modules , such as the BOMAG practical project.

Sanda-Maria Avramمشاهده پروفایل

مدرس

• Authorship Attribution
• Artificial Intelligence
• Natural Language Processing
• +۷ مورد دیگر

Dr. Sanda-Maria Avram is a faculty member at Babeș-Bolyai University in Cluj-Napoca, Romania, where she teaches in the Faculty of Mathematics and Computer Science. She currently instructs courses in Operating Systems for bachelor's students and oversees the elaboration of Bachelor Theses. Her teaching approach emphasizes practical application and student engagement in both undergraduate and master's programs, having recently completed the sixth iteration of her Adaptive Web Design course with 81 master's students across six sections. Dr. Avram's research spans multiple domains with a current focus on authorship attribution through artificial intelligence, natural language processing, and stylometry. Her work aims to achieve and surpass AI-based results through mathematical approaches. Previously, her research encompassed knowledge discovery, data visualization, web mining, e-learning systems, and networking. She has developed several educational platforms including SINE, PULSE, and PULSE Extended for student evaluation in laboratory settings, addressing the specific needs of Romanian universities where laboratory sessions are mandatory and guided by a single tutor. Her publication record reveals a strong trend toward applying computational methods to solve practical problems in education and networking. Recent work focuses on linguistic analysis and authorship attribution using advanced AI techniques, while earlier publications address educational analytics and network routing protocols. She has demonstrated that integrated analytics using authentication data provide more reliable insights for e-learning environments than standard tools like Google Analytics. Dr. Avram leads a student research group focused on mathematical approaches to authorship attribution, encouraging students with strong mathematical skills to collaborate. She actively maintains academic profiles on Google Scholar, ResearchGate, and Academia.edu (under the names SandaDragos and SandaMariaAvram), where she has established a network of academic collaborators and shares her research findings with the broader scholarly community.

Thomas Needhamمشاهده پروفایل

دانشیار

• Geometry
• Topology
• Optimal Transport
• +۴ مورد دیگر

Thomas (Tom) Needham is an Associate Professor of Mathematics at Florida State University, where his work bridges pure geometry and topology with modern data-science challenges. Research Interests: Needham’s research centers on applying geometric and topological ideas—particularly optimal transport, Riemannian and symplectic geometry, and topological data analysis—to large and complex data sets. He develops theoretical frameworks, algorithms, and computational tools that reveal shape, structure, and relationships within high-dimensional data. Optimal transport theory and its generalizations (Gromov-Wasserstein, unbalanced transport) Metric and symplectic geometry in data contexts Topological summaries (persistence diagrams, Reeb/Merge trees) Statistical shape analysis and geometric statistics Funding & Support: His program is currently supported by the U.S. National Science Foundation through grants DMS–2324962 and CIF–2526630; prior support includes DMS–2107808. Laboratory & Collaboration: Needham collaborates extensively across mathematics, computer science, statistics, and application domains such as neuroscience and imaging. While no dedicated lab name is given, his projects involve multi-institutional teams and graduate students working at the intersection of geometry, topology, and data science.

Reemt Hinrichsمشاهده پروفایل

پژوهشگر

• Signal Coding
• Cochlear Implants
• Digital Signal Processing
• +۳ مورد دیگر

Reemt Hinrichs is a researcher at the Institute for Information Processing (TNT) at Leibniz University Hannover, where he focuses on signal processing applications across biomedical engineering, audio technology, and structural health monitoring. He completed his Dr.-Ing. (PhD) at TNT in 2023 after working as a research assistant since January 2018. Dr. Hinrichs earned his Master's Degree in Mechatronics from Leibniz University Hannover in May 2017, completing his thesis on "System-theoretical modeling of a structural sound signal path" at the Institute for Information Processing. His academic journey reflects a consistent focus on signal processing theory applied to practical engineering challenges. His primary research interests center around Signal Coding , particularly for Cochlear Implants , along with broader expertise in Digital Signal Processing and Nonlinear System Theory . His work spans multiple application domains including biomedical engineering (cochlear implants), audio processing (guitar effects modeling), and structural health monitoring (acoustic emissions analysis for infrastructure). Dr. Hinrichs' publication record demonstrates a strong focus on compression algorithms for cochlear implants, with numerous papers on neural network-based approaches for zero-delay compression of electrical stimulation patterns. He has also made significant contributions to guitar effects modeling using convolutional neural networks and structural health monitoring through acoustic emission analysis. His research bridges theoretical signal processing with practical applications across diverse domains, showing particular strength in applying deep learning techniques to specialized signal processing challenges. With approximately 60 theses supervised, Dr. Hinrichs has been actively involved in mentoring students across various research topics including cochlear implant technology, structural modeling, and audio signal processing. His supervision portfolio includes work on nonlinear prediction of electrode excitation patterns, geometry-dependent modeling of transfer functions, and automatic extraction of guitar effects. His current research focuses on "deep learning models for the compression of electrode excitation patterns of cochlear implants," continuing his long-standing expertise in this specialized area of biomedical signal processing while expanding into new applications of neural network architectures for real-time signal compression.

Feijia Yinمشاهده پروفایل

دانشیار

• Aerospace Engineering
• Climate Impact of Aviation
• Flight Trajectory Optimization
• +۴ مورد دیگر

Dr. Feijia Yin serves as an Associate Professor in the Operations & Environment department within the Faculty of Aerospace Engineering at Delft University of Technology. With an extensive research portfolio focusing on sustainable aviation solutions, Dr. Yin's work bridges aerospace engineering with climate science to develop practical approaches for reducing aviation's environmental impact. Current research activities demonstrate active leadership in climate-friendly flight planning methodologies and alternative propulsion systems. Dr. Yin's research interests center on mitigating aviation's climate impact through innovative engineering solutions. Specializing in aircraft trajectory optimization under climate considerations, the research program investigates how flight paths can be redesigned to minimize non-CO2 effects while maintaining operational efficiency. Additional focus areas include hydrogen-powered propulsion systems, climate effect modeling of alternative fuels, and development of decision support tools for eco-efficient air traffic management. The research fingerprint shows strong expertise in aircraft engineering (82%), aviation engineering (63%), and climate effects (57%), with significant contributions to understanding how aircraft emissions interact with atmospheric processes. Recent publications reveal a clear trend toward developing robust, climate-optimized flight planning systems that account for weather uncertainties and multiple climate impact metrics. The research increasingly integrates computational modeling with practical air traffic management applications, as evidenced by the development of tools like SolFinder 1.0 and CLIMaCCF V1.0. These efforts represent a growing emphasis on operational implementation of climate mitigation strategies within existing aviation infrastructure. Scientific recognition includes: Best paper award (2024) Best paper award for the Fuel and Emissions track of ICRAT 2018 conference Dr. Yin maintains active engagement with major international climate initiatives, serving as an Expert Reviewer for the IPCC WGIII Sixth Assessment Report. Editorial responsibilities include membership on the board of Frontiers in Aerospace Engineering (2022). Professional service extends to committee memberships in the ECATS Working Group on Sustainable Aircraft Propulsion Technology and program committee roles for the International Conference on Transport, Atmosphere and Climate. Media engagement demonstrates commitment to public discourse on sustainable aviation, with coverage in Dutch media discussing how aviation can leave fewer climate traces. Research activities are supported through active participation in major collaborative projects addressing sustainable aviation challenges. Current work focuses on developing practical implementation pathways for climate-optimized flight operations and advancing understanding of non-CO2 climate effects from aviation. The research program maintains strong connections with both academic and industry partners in the aviation sector, facilitating knowledge transfer between theoretical research and operational implementation.

• Network Science
• Temporal Networks
• Multilayer Networks
• +۵ مورد دیگر

Arash Badie-Modiri is a Visiting Professor at Aalto University's School of Science, Department of Computer Science. His research focuses on temporal networks, multilayer networks, and computational modeling of complex systems. Institution: Aalto University School: School of Science Department: Department of Computer Science Rank: Visiting Professor Email: ext-arash.badie-modiri@aalto.fi His work spans network science, statistical physics, and software development, with particular emphasis on temporal network analysis , multilayer network modeling , and dynamic connectivity estimation . Recent publications highlight contributions to epidemic modeling, crowdsourcing methodological improvements, and open-source software tools like the pymnet library. Collaborations with researchers such as Kimmo Kaski, Jari Saramäki, and Mikko Kivelä reflect his integration into multidisciplinary academic networks. Research outputs demonstrate expertise in temporal network theory , weighted event graphs , and percolation dynamics applied to complex systems.