جست‌وجوی استاد و پژوهشگر

Stephanie Spielmannمشاهده پروفایل

دانشیار

• Social Psychology
• Close Relationships
• Attachment Theory
• +۳ مورد دیگر

Stephanie Spielmann serves as Associate Professor in the Department of Psychology within Wayne State University's College of Liberal Arts and Sciences, where she directs the Relationships and Individual Differences (RAID) Lab focused on personality dynamics in romantic relationships, breakups, and singlehood. She earned her Ph.D. in Psychology from the University of Toronto in 2013, completing a Postdoctoral Fellowship in Social Psychology at the same institution from 2013-2014. Her research program investigates how insecurity drives maladaptive relationship choices through threat avoidance motivations (e.g., fear of rejection) while examining reward opportunities like intimacy. Grounded in attachment theory, her work demonstrates that insecure individuals exaggerate social threats and undervalue rewards, leading to pursuits of undesirable partners despite available alternatives. This framework reveals how fear of being single motivates risky health decisions, ambiguous rejection responses, and ex-partner re-engagement. Analysis of her publications shows consistent thematic focus since 2013, with recent work (2023-2025) expanding into health contexts and scale validation. Methodologically, her research combines experimental priming, longitudinal surveys, and dyadic couple studies across journals like Journal of Personality and Social Psychology and Personal Relationships . No major scientific awards are documented in the provided materials. Dr. Spielmann advises graduate researchers in the RAID Lab and teaches core courses including Statistical Methods in Psychology (PSY2030) and Psychology of Social Behavior (PSY2600), with specialized instruction in Social Psychology of Close Relationships (PSY7645). The RAID Lab conducts empirical studies examining how personality traits and attachment styles shape relationship regulation, utilizing diverse methodologies to investigate singlehood experiences, breakup recovery, and decision-making under insecurity.

Daniel Rakitaمشاهده پروفایل

استادیار

• Robotics
• Motion Planning
• Human-Robot Interaction
• +۷ مورد دیگر

Dr. Daniel Rakita is an Assistant Professor of Computer Science at Yale University, specializing in robotics and human-robot interaction. His research focuses on developing real-time motion planning algorithms and intuitive shared-control interfaces to enable robots to safely assist humans in critical tasks such as healthcare, disaster relief, and manufacturing. He holds a Ph.D. and M.S. in Computer Science from the University of Wisconsin-Madison. His work integrates robotics, machine learning, and human factors to create end-to-end solutions for robot manipulation. Key contributions include RelaxedIK (real-time collision-free motion synthesis) and CollisionIK (per-instant pose optimization). His research also explores teleoperation systems and adaptive viewpoints for remote control in complex environments. Education: Ph.D./M.S., University of Wisconsin-Madison (Computer Science) Affiliations: School of Engineering & Applied Science, Yale University Labs/Teams: Robotics and Human-Computer Interaction research groups at Yale His publications span top venues like Robotics: Science and Systems (RSS), ICRA, and HRI. Notable awards include the Microsoft PhD Fellowship (2019-2021) and Best Paper Awards at HRI 2018. Current projects emphasize diffusion policies for manipulation learning and optimization-based motion generation frameworks.

Jeff McComseyمشاهده پروفایل

عضو هیئت علمی

• Comic Book Art
• Graphic Novels
• Illustration
• +۷ مورد دیگر

Jeff McComsey is an Adjunct Instructor at the Pennsylvania College of Art & Design (PCA&D), where he teaches in the Animation & Game Art and Illustration programs. A PCA&D alumnus (Class of 2005), he bridges academic instruction with a prolific career in the comics industry. University: Pennsylvania College of Art & Design School: School of Art and Design Department: Animation & Game Art, Illustration Academic Rank: Adjunct Instructor His research and creative interests center on comic book art, graphic storytelling, illustration, and the fusion of historical narratives with speculative fiction, particularly zombie-themed alternate histories. He is deeply engaged in sequential art, visual storytelling techniques, and art direction. The body of his recent publications reflects a consistent thematic focus on reimagining historical events through the lens of zombie fiction, spanning from ancient civilizations to modern conflicts. His works often blend rigorous historical settings with genre-bending horror and action, demonstrating a unique narrative voice in indie comics. New York Times Best Seller (FUBAR: Empire of the Rising Dead) As an educator and mentor, McComsey advises and inspires emerging artists, drawing from his extensive industry experience. He is actively involved in creative campaigns, such as the Kickstarter-funded Honcho , where he led art direction and copywriting. His professional practice includes self-publishing through FUBAR Press, an imprint of Alterna Comics, and collaborating with major publishers like AWA Studios, Image Comics, and Dark Horse Comics. Jeff McComsey leads a multifaceted creative life, operating at the intersection of academia and independent publishing, with strong ties to the Lancaster, Pennsylvania arts community.

Krzysztof Balcerowiakمشاهده پروفایل

استاد

• Graphic Arts
• Visual Communication
• Printmaking
• +۵ مورد دیگر

Krzysztof Balcerowiak is a Polish artist, graphic designer, and academic at the University of Arts in Poznań , serving as a Professor at the Faculty of Graphic Arts and Visual Communication. Since 2022, he has headed the Offset Studio under Prof. Grzegorz Nowicki, with extensive teaching experience including roles as assistant professor (2009–2019) and various assistant positions dating back to 2002. Academy of Fine Arts in Poznań graduate (MFA 2001) Studio leadership: Offset (2022–), Lithography/Offset (2009–2019) His artistic research focuses on "the object in graphic art" , blending traditional printmaking with three-dimensional elements. Works like Domini Canes (2019) critically examine religious symbolism, while East West (2018) explores cross-cultural perceptions through print-object hybrids. Exhibition history spans international projects including the 100th Anniversary of the Bunt Expressionist Group (2019) and International Print Triennials in Kraków (2018). Techniques range from offset printing and serigraphy to innovative combinations with objects and installations. Active in academic workshops and conferences, Balcerowiak has contributed to major Polish exhibitions such as NEW EXPRESSIONS / MUSEUM OF THE CITY OF ŁÓDŹ and District Museum Bydgoszcz projects, demonstrating sustained engagement with contemporary graphic art discourse.

Chris Wigginsمشاهده پروفایل

دانشیار

• Data Science
• Machine Learning
• Computational Biology
• +۱۲ مورد دیگر

Chris Wiggins is an Associate Professor of Applied Mathematics and Systems Biology at Columbia University, with affiliations in the Department of Statistics. He is based in the School of Engineering and Applied Science and conducts interdisciplinary research at the intersection of data science, machine learning, and biological systems. His work bridges computational modeling with applications in genomics, single-molecule biophysics, digital health, and disinformation studies. His research interests include: Data Science and its societal implications Machine learning for biological networks and gene regulation Bayesian and statistical inference in single-molecule experiments Privacy-aware data analysis and algorithmic ethics Modeling in digital health, including menstrual cycle prediction and cancer drug screening Information-theoretic approaches to network structure and dynamics The trends in his recent publications reveal a growing focus on the ethical and societal dimensions of data science, as seen in works like How Data Happened and An Agenda for Disinformation Research , while maintaining strong technical contributions in biomedical modeling, particularly in cancer and women’s health. His work combines rigorous statistical methods with real-world data challenges. Notable scientific contributions include foundational work on ARACNE for gene regulatory network inference, Bayesian modeling of single-molecule dynamics, and methodological advances in dose-response modeling. His publications span top journals in bioinformatics, computational biology, and data science. He has advised doctoral students in applied mathematics and computational biology, though specific names are not listed in the provided text. His research has been supported by interdisciplinary grants, particularly in systems biology and data science initiatives. He is actively involved in shaping the philosophy and pedagogy of data science as a field. Chris Wiggins is associated with research centers at Columbia that focus on applied statistics, probability, and data science. He contributes to seminars and educational programs that promote quantitative reasoning across disciplines, particularly in the context of modern data-driven challenges.

Samuel Häfnerمشاهده پروفایل

استادیار

• Applied Microeconomic Theory
• Auctions
• Contest Theory
• +۳ مورد دیگر

Samuel Häfner is an Assistant Professor in Economics at the University of St. Gallen , with affiliations at the Zurich Center for Market Design and sciCORE facility at University of Basel. His research focuses on Applied Microeconomic Theory with emphasis on auctions, contests, contracts, and blockchain markets. Research interests include: Industrial Organization (contracts, auctions, contests) Blockchain Economics (decentralization, service provision) Game Theory (dynamic contests, equilibrium analysis) Recent publications analyze: Risk aversion in share auctions and TRQ rent estimation in Switzerland Optimal contracting for advice and information acquisition Front-running in candle auctions

Bob Jonesمشاهده پروفایل

استاد

• Atomic, Molecular and Optical Physics
• Quantum Information
• Experimental Chemical Physics
• +۷ مورد دیگر

Bob Jones is the Francis H. Smith Professor of Physics in the Department of Physics at the University of Virginia, within the College of Arts and Sciences. His research focuses on experimental atomic, molecular, and optical (AMO) physics, quantum information, and chemical physics using ultrafast and strong-field laser techniques. Research Interests: His work centers on coherent manipulation of atoms and molecules using precisely controlled electromagnetic fields. He employs lasers to cool and trap atoms, align molecules, and drive electron motion to probe ultrafast processes. Key areas include electron-electron interactions, Rydberg atom dynamics, attosecond electron wavepackets, high-harmonic generation, and interactions of intense THz pulses with nanostructures. The recent publications highlight a consistent focus on attosecond science , strong-field ionization , quantum control , and Rydberg systems . His team combines experimental innovation with theoretical collaboration to explore electron dynamics in atoms and molecules, often using ultrafast lasers and single-cycle THz pulses to initiate and probe quantum processes. Scientific Awards: APS Fellow (2000) David and Lucile Packard Fellow (1996) Office of Naval Research Young Investigator (1994) APS Outstanding Referee (2008) Advising and Grants: Bob Jones actively mentors graduate students and postdoctoral researchers, many of whom appear as co-authors on his publications. His research has been supported by major funding agencies, as evidenced by prestigious awards like the Packard Fellowship and ONR grant. He plays a leadership role in the AMO community, recently elected Vice Chair of the APS Division of Atomic, Molecular, and Optical Physics (DAMOP). Labs and Teams: He leads a research group at UVA focused on ultrafast laser spectroscopy and quantum control experiments. His team collaborates widely with theorists and experimentalists across institutions, as seen in multi-institutional publications involving Ohio State, Kansas State, and international partners.

Shapour Jaberzadehمشاهده پروفایل

استاد

• Neuroplasticity
• Non-Invasive Brain Stimulation
• Neuroscience
• +۱۱ مورد دیگر

Shapour Jaberzadeh is a Professor in the Department of Physiotherapy at the School of Primary and Allied Health Care (SPAHC), Monash University, Melbourne, Australia. He is the Director of Research and Director of the Non-invasive Brain Stimulation & Neuroplasticity Laboratory, where he leads a multidisciplinary team of researchers and students. He joined Monash University in 2005 as a founding staff member and has since developed a substantial research program in neuroplasticity and non-invasive brain stimulation. Physiotherapy Degree, Shiraz University, Iran (1985) Masters of Physiotherapy (Research), Iran University of Medical Sciences, Iran (1992) Clinical MSc in Advanced Manipulative Physiotherapy, University of South Australia (1997) PhD in Motor Control of Human Movements, University of South Australia (2002) Graduate Certificate in Health Professional Education, Monash University (2007) Professor Jaberzadeh’s research focuses on understanding the mechanisms of neuroplasticity in the human central nervous system and developing novel therapeutic approaches for neurological and neuromusculoskeletal disorders. His work integrates techniques such as transcranial magnetic stimulation (TMS), transcranial electrical stimulation (tES), EEG, and fMRI. He investigates the effects of brain stimulation on motor control, pain, and the interplay between cognition and physical performance, particularly postural balance. His future goals include advancing translational research to improve rehabilitation outcomes after traumatic brain injury and stroke. His recent publications (2024) highlight ongoing research in brain stimulation protocols, reliability of neurophysiological measures, and cognitive-motor interactions in both healthy individuals and patients with chronic pain. The work spans clinical trials, systematic reviews, and experimental studies, demonstrating a strong trend toward evidence-based neuromodulation and rehabilitation science. Scientific Service and Recognition: Associate Editor, Board of Physical Neuroergonomics (Frontiers in Neuroergonomics), 2020–present Editorial Board Member, Journal of Brain Sciences, 2019–present Reviewer for journals including Brain Stimulation , Scientific Reports , Neuroscience , and Frontiers in Neurology Grant reviewer for NHMRC and ARC PhD thesis examiner for national and international universities Professor Jaberzadeh is actively involved in academic leadership and mentoring. He serves as Director of Postgraduate Research (2005–present), Chair of the Postgraduate and Undergraduate Research Committee (2006–present), and Deputy Director of Research for SPAHC (2020–present). He mentors HDR students, leads the Physiotherapy Research Mentorship Program, and delivers training in data analysis. His teaching includes Neurological Physiotherapy (PTY2042, PTY5108) and honors-level physiology. He leads the Non-invasive Brain Stimulation & Neuroplasticity Laboratory, which specializes in TMS, tDCS, tPCS, and tACS. Current research streams include clinical trials for chronic pain management, neuroplasticity experiments, enhancement of physiotherapeutic training, and cognition-physical performance interactions. The lab has secured funding from sources such as the Collier Charitable Fund and conducts collaborative research nationally and internationally.

Yiwei Wangمشاهده پروفایل

استادیار

• Natural Language Processing
• Large Language Models
• Graph Machine Learning
• +۳ مورد دیگر

Yiwei Wang is an Assistant Professor at the Department of Computer Science, University of California, Merced, leading the UC Merced NLP Lab . He holds a Ph.D. from National University of Singapore (2023), M.Phil from Hong Kong University of Science and Technology (2019), and B.S. from Southeast University (2017). His research focuses on natural language processing , large language models , and graph machine learning , with emphasis on trustworthy AI systems.

Toomas Hinnosaarمشاهده پروفایل

دانشیار

• Economics
• Game Theory
• Industrial Organization
• +۴ مورد دیگر

Toomas Hinnosaar is an Associate Professor in Economics at the University of Nottingham, holding a PhD from Northwestern University. He specializes in game theory, mechanism design, and behavioral economics, with a focus on strategic interactions, market structures, and digital public goods. His research explores sequential contests, network pricing, and the impact of online information on real-world outcomes. Key findings include the role of transparency in strategic environments and the economic implications of social media dynamics. His work has been featured in major outlets like the Guardian , BBC Radio , and VoxEU . Scientific recognition includes selection for the Journal of the European Economic Association 's Virtual Issue: Editor's Choice Collection (2019). His methodological contributions span randomized field experiments, auction theory, and dynamic pricing models.

Rajesh Ganesanمشاهده پروفایل

دانشیار

• Cybersecurity
• Healthcare Operations
• Transportation Systems
• +۶ مورد دیگر

Rajesh Ganesan is an Associate Professor in the Department of Systems Engineering and Operations Research at George Mason University's Volgenau School of Engineering. His research focuses on applying advanced mathematical and computational methods to solve complex decision-making problems under uncertainty across multiple critical domains including cybersecurity, healthcare, defense, and transportation systems. His research interests span cybersecurity operations, healthcare resource allocation, transportation systems optimization, stochastic optimization, and reinforcement learning. Ganesan's work addresses fundamental challenges in sequential decision-making under uncertainty, with applications ranging from cybersecurity analyst scheduling to liver transplant allocation and air traffic management. His research has significant implications for national security, public health, and transportation efficiency. His publication record demonstrates consistent contributions to high-impact journals and conferences, with recent work focusing on cybersecurity operations centers (CSOCs), adaptive resource allocation, deception technologies, and healthcare optimization. His research methodology combines stochastic optimization, approximate dynamic programming, and reinforcement learning to tackle complex real-world problems. Teacher of Distinction Award, Center for Teaching Excellence ISERC Best Track Paper Award, National Security Track Faculty Study Leave, GMU Provost Office Multiple U.S. Patents in process control and manufacturing Best Paper Awards in air transportation and security domains Ganesan has successfully mentored PhD and Master's students including Poornima Balakrishna (recipient of the INFORMS Best Dissertation Award) and Sameer Kulkarni (recipient of the Transportation Research Board Graduate Research Award). His research has been funded by the National Science Foundation, Department of Defense, NIH, and other agencies, addressing critical challenges in security operations, healthcare systems, and transportation networks. His laboratory work centers around the Center for Secure Information Systems and the Center for Air Transportation Systems Research (CATSR), where he develops computational frameworks for dynamic resource allocation in complex adaptive systems.

Anke Gerberمشاهده پروفایل

استاد

• Microeconomic Theory
• Experimental Economics
• Game Theory
• +۳ مورد دیگر

Anke Gerber is a Full Professor of Economics (W3) at the University of Hamburg, specializing in Microeconomic Theory and Experiments . She is affiliated with the Faculty of Business, Economics and Social Sciences and leads research in game theory, social choice, and experimental economics.

• Robotics
• Algorithmic Foundations
• Structural Molecular Biology
• +۶ مورد دیگر

Oliver Brock is a Professor at the Technische Universität Berlin (TU Berlin) , holding the Alexander von Humboldt Professorship since 2009. His research focuses on algorithmic foundations for robotic agents to perform complex tasks in dynamic and unstructured environments , with cross-disciplinary applications in molecular structural biology (e.g., protein folding, docking). Education: Ph.D. in Computer Science, Stanford University (2000) M.S. in Computer Science, Stanford University (1994) Diploma in Computer Science, TU Berlin (1993) Research Trends: His work spans robotics , motion planning , soft robotics , and machine learning , with recent emphasis on acoustic sensing , adaptive behavior representation , and separating learning from modeling in manipulation tasks. Publications highlight probabilistic methods , human-robot interaction , and biomimetic systems . Scientific Awards: Notable recognitions include the 2016 RSS Best Systems Paper Award , 2015 Amazon Picking Challenge First Place , and the 2006 NSF CAREER Award . Advising & Grants: As a Humboldt Professor, he has led programs like the Science of Intelligence and Cognitive Systems tracks at TU Berlin. Professional service includes editorial roles in Autonomous Robots and International Journal of Robotics and Research . Labs & Teams: He leads the Robotics and Biology Laboratory (RBO) at TU Berlin, focusing on robotic manipulation , sensor design , and biological data integration .

Rongrong Wangمشاهده پروفایل

دانشیار

• Applied and Computational Harmonic Analysis
• Machine Learning
• Neural network training and generalization
• +۶ مورد دیگر

Rongrong Wang serves as Associate Professor in both the Department of Computational Mathematics, Science and Engineering (CMSE) and Department of Mathematics at Michigan State University, based in the Engineering Building with contact email wangron6@msu.edu . Her academic journey includes: B.S. in Mathematics and B.A. in Economics from Peking University, Beijing Ph.D. in Applied Mathematics from University of Maryland College Park under John Benedetto and Wojciech Czaja Postdoctoral fellowship at University of British Columbia with Ozgur Yilmaz and Felix Herrmann Her research spans Applied and Computational Harmonic Analysis , Machine Learning , and Compressed Sensing with focus areas including neural network training dynamics, learning theory, tensor analysis, and inverse problems. She investigates theoretical foundations of deep learning while developing applications for medical imaging and signal processing. Recent publications (2024-2025) demonstrate strong interdisciplinary work at the intersection of deep learning theory and medical imaging, particularly exploring edge-of-stability phenomena in neural networks and diffusion-guided reconstruction techniques. Her work also advances tensor decomposition methods and in-context learning mechanisms in language models. Professor Wang actively recruits self-motivated graduate and undergraduate students with backgrounds in mathematics, computer science, or electrical engineering for research opportunities in her lab.

Paul R. Schraterمشاهده پروفایل

دانشیار

• Machine Learning
• Probabilistic Inference
• Perception
• +۵ مورد دیگر

Paul R. Schrater is an Associate Professor with a joint faculty appointment in the Departments of Psychology and Computer Science at the University of Minnesota. His research bridges computational approaches with cognitive and neural sciences, focusing on understanding human perception, decision-making, and motor control through probabilistic and machine learning frameworks. Dr. Schrater's research interests span across several interconnected domains in cognitive science and artificial intelligence. His work primarily investigates how humans use probabilistic methods to navigate perception and motor control challenges. He approaches these questions through a structured interdisciplinary lens, placing computational theory at the forefront to drive empirical work. His research aims to develop precise, testable theories of brain computations that can be validated through behavioral measures and brain imaging techniques. His publication record reveals consistent work in human perception, decision theory, and motor control, with a strong emphasis on Bayesian modeling approaches. Over the past decade, his research has evolved to incorporate increasingly sophisticated probabilistic models to explain phenomena ranging from perceptual bistability to optimal grasping strategies under uncertainty. His work demonstrates a clear trajectory toward integrating multiple sensory modalities and cognitive processes within unified computational frameworks. Dr. Schrater directs the Computational Perception and Action Laboratory, located in Elliott Hall at the University of Minnesota. The lab is equipped with a Visuo-Haptic workbench for testing visuo-motor behavior with virtual objects, and an adjustable reach laboratory for studying reaching behavior with actual objects. His teaching includes graduate courses such as "Mathematical Models of Human Behavior" (PSY 5018H) and "Artificial Intelligence II" (CSCI 5512), reflecting his interdisciplinary approach that bridges psychology and computer science.