جستجوی استاد راهنمای دانشگاهی

Davi V. Q. Rodriguesمشاهده پروفایل

استادیار

• Signal Processing
• Microwave/Millimeter-Wave Circuits
• Radar Systems
• +۷ مورد دیگر

Dr. Davi V. Q. Rodrigues is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Texas at El Paso (UTEP). His research focuses on microwave/millimeter-wave circuits and signal processing for radar, communication systems, and smart living applications. He holds a B.S. in Communications Engineering from the Military Institute of Engineering (Brazil) and a Ph.D. in Electrical Engineering from Texas Tech University. Prior to academia, he served in the Brazilian Navy and Army, and worked at Uhnder, Inc., Abbott Laboratories, and Dell Technologies. His work emphasizes radar-based smart home, healthcare, and autonomous systems, with contributions in structural health monitoring, human activity recognition, and joint communication-sensing technologies. Dr. Rodrigues has received prestigious awards including the 2022 IEEE MTT-S Tom Brazil Fellowship and the 2023 Texas Tech Horn Distinguished Professors Award. His research group, the Microwave Circuits & Sensing Systems Group, develops algorithms and hardware for biomedical sensing, non-contact health monitoring, and 6G-enabled applications. He actively seeks motivated graduate students interested in radar systems, signal processing, and wireless technologies. Education: B.S., Communications Engineering, Military Institute of Engineering (2017) Ph.D., Electrical Engineering, Texas Tech University (2023) Research Interests: Microwave/mm-wave radar systems Human activity monitoring and gesture recognition Structural health monitoring 6G/ B5G communication-sensing fusion Passive and opportunistic RF sensing His publications span radar-based smart living solutions, biomedical sensors, and reconfigurable intelligent surfaces (IRS). He is an IEEE MTT-S member and has contributed to industry partnerships through collaborations with Uhnder and Dell Technologies. Current projects integrate AI-driven radar signal analysis and low-cost sensor networks for healthcare and infrastructure monitoring.

• Computational Design
• Secure Design and Manufacturing
• Socio-Technical Systems
• +۷ مورد دیگر

Professor Jitesh H. Panchal is a Professor of Mechanical Engineering and Associate Head of Undergraduate Programs at Purdue University's School of Mechanical Engineering. His research focuses on computational design of socio-technical systems, secure manufacturing, and collaborative engineering processes. He holds a PhD from Georgia Tech and has received numerous awards including the NSF CAREER Award (2010) and ASME's Guest Associate Editor Award (2019). Education: Ph.D. (Mechanical Engineering), Georgia Tech, 2005 M.S. (Mechanical Engineering), Georgia Tech, 2003 B.Tech. (Mechanical Engineering), IIT Guwahati, 2000 Research Interests: His work integrates computational methods with human factors, addressing challenges in secure design, additive manufacturing, and decision-making frameworks. Recent trends show focus on AI-driven design optimization, cybersecurity in manufacturing, and policy frameworks for defense acquisitions. Awards: ASME Journal of Mechanical Design Guest Associate Editor Award (2019) NSF CAREER Award (2010) Robert E. Fulton SEIKM Best Paper Award (2013) Ruth and Joel Spira Award (2018) Advising & Grants: His research is supported by grants from NSF and industry partnerships. He advises graduate students in design engineering and manufacturing systems, though no specific student names are listed. Labs: Directs the Design Engineering Lab at Purdue (DELP) , focusing on computational design methodologies and secure manufacturing technologies.

• Adaptive and robust control
• Nonlinear control
• Precision control
• +۴ مورد دیگر

Bin Yao is a Professor of Mechanical Engineering at Purdue University, located in West Lafayette, Indiana. He holds positions within the School of Mechanical Engineering and has affiliations with Purdue's broader Engineering College. His research focuses on adaptive and robust control systems, nonlinear control, precision mechanical systems, vehicle control, and robotics, with applications in human-machine interaction, transportation, and advanced robotics. Yao earned his B.Eng. from Beijing University of Aeronautics & Astronautics (1987), M.Eng. from Nanyang Technological University (1992), and Ph.D. from UC Berkeley (1996). He has received numerous awards, including the 2010 Changjiang Chair Professorship and the 2007 ASME Outstanding Young Investigator Award. His work emphasizes theoretical advancements in control systems and their practical implementation in industrial and robotic applications. Key research trends in his publications include precision motion control of gantry systems, adaptive strategies for hydraulic manipulators, and teleoperation systems with haptic feedback. His articles often bridge theoretical control methodologies with real-world mechanical systems, emphasizing robustness and adaptability. Awards: Over 10 prestigious awards spanning from 1985 to 2010, including international recognitions in control systems and academic excellence. Grants: Secured major funding through NSF CAREER Award (1998) and other industrial collaborations. His research lab focuses on advanced control systems integration in mechanical and robotic platforms, with ongoing projects in precision manufacturing and autonomous vehicle dynamics.

• Software Correctness
• Cybersecurity
• Usability Engineering
• +۵ مورد دیگر

James Davis is an Assistant Professor in the Elmore Family School of Electrical and Computer Engineering at Purdue University. His research focuses on engineering robust computing systems through socio-technical approaches, emphasizing software correctness, security, and usability. He applies empirical methodologies to evaluate the practical impact of technical solutions. Research interests include software supply chain security, deep learning reproducibility, regular expression optimization, IoT cybersecurity, and the socio-technical challenges in system design. His work bridges theoretical foundations with real-world applications, addressing issues like regex denial-of-service (ReDoS), model reuse in AI, and developer practices for safety-critical systems. Recent publications span topics such as actor reputation metrics in software supply chains, AI safety for downstream developers, and edge-computing optimizations for vision transformers. His interdisciplinary approach integrates empirical studies, formal verification, and human-centered design principles. No scientific awards are explicitly mentioned in the provided materials. His advising record is currently unspecified, though his research group likely engages in collaborative projects with industry and academia. He contributes to initiatives like the Sigstore ecosystem and open-source security tooling, reflecting his commitment to practical impact.

Jeremiah M. Blockiمشاهده پروفایل

دانشیار

• Cryptography
• Information Security
• Usable Privacy and Security
• +۷ مورد دیگر

Jeremiah M. Blocki is an Associate Professor in the Department of Computer Science at Purdue University. His research focuses on cryptography, usable privacy and security, and authentication protocols. He joined Purdue in Fall 2016, previously completing his PhD at Carnegie Mellon University and a postdoc at Microsoft Research New England. Education: PhD in Computer Science, Carnegie Mellon University, 2014 Bachelor of Science in Computer Science, Carnegie Mellon University, 2009 Research Interests: Dr. Blocki’s work emphasizes applying theoretical computer science to practical security challenges, including password management, memory-hard functions, and differential privacy. His recent projects include developing distribution-aware password throttling and analyzing the post-quantum security of cryptographic algorithms. Publications: His research spans cryptographic protocols, security mechanisms, and privacy-preserving algorithms. Notable contributions include advancements in memory-hard functions (e.g., CRYPTO 2016, 2019) and differential privacy techniques (e.g., ITCS 2025). Recent work explores the intersection of cryptography with quantum computing and sublinear-time algorithms. Awards: NSF CAREER Award (2021) Purdue Seed for Success Award (2019) Allen Newell Award for Excellence in Undergraduate Research (2009) Advising & Grants: Supervised multiple PhD students and postdocs. Key grants include the NSF CAREER award ($591k) and a $10.7M HACCLE project (IARPA) for secure multi-party computation. Labs/Teams: Co-leads the HACCLE project, focusing on high-assurance cryptographic languages and environments. Active in Purdue’s CERIAS security initiatives.

Sandra Wachterمشاهده پروفایل

استاد

• AI Ethics
• Algorithmic Bias
• Data Privacy
• +۳ مورد دیگر

Professor Sandra Wachter is a Professor of Technology and Regulation at the Oxford Internet Institute, University of Oxford. She leads the Governance of Emerging Technologies (GET) Research Programme, focusing on legal, ethical, and technical aspects of AI and robotics. Her affiliations include Harvard’s Berkman Klein Center, the World Economic Forum, and the European Commission’s Expert Group on Autonomous Cars. She advises governments and tech companies globally on AI governance. Education: Studied at the University of Oxford and the University of Vienna’s Law Faculty, with prior roles at the Royal Academy of Engineering and the Austrian Ministry of Health. Research interests include algorithmic bias, explainable AI, privacy law, and ethical design. Her work on counterfactual explanations and the CDD bias test has been implemented by Google, IBM, and Amazon. She explores AI’s societal impacts, including predictive policing, health tech, and cyber-security. Awards include the Privacy Law Scholar Award (2019) and the ‘AI Superhero Award’ (2017). She leads the British Academy project on algorithmic inferences and contributes to standards for AI transparency and accountability.

Gina Masulloمشاهده پروفایل

دانشیار

• Online Incivility
• Political Communication
• Digital Journalism
• +۵ مورد دیگر

Gina Masullo is an Associate Professor in the School of Journalism and Media at The University of Texas at Austin, where she also serves as Associate Director of the grant-funded Center for Media Engagement. She previously held an Assistant Professor position at the University of Southern Mississippi and has extensive experience as a journalist, working for newspapers like The Post-Standard in Syracuse, NY, where she covered crime, governance, and later parenting topics. Her formal education includes a Ph.D. and M.A. in Mass Communication from Syracuse University and a B.A. in Communication from Franciscan University of Steubenville. Her research focuses on digital media’s role in societal connection/division, online incivility’s effects, and how journalists can improve democratic engagement. She has co-edited works like Scandal in a Digital Age and authored Online Incivility and Public Debate . Current projects include the Knight Foundation-funded Connective Democracy Initiative, exploring solutions to societal polarization. Her work emphasizes bridging divides through empathetic communication and platform design. Dr. Masullo has won multiple awards for her research, including the 2023 Top Faculty Paper for LGBTQ+ discourse analysis and the 2019 AEJMC Research Prize for Professional Relevance. She teaches courses like Social Media Journalism and Fundamentals of Statistics. Notably, she has advised projects on protest coverage, news labels, and hate speech moderation, with grants totaling over $3 million through collaborations with institutions like Google News Initiative and the Hewlett Foundation.

Indranil Guptaمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• IoT/Edge Systems
• +۴ مورد دیگر

Prof. Indranil Gupta (Indy) is a Professor of Computer Science at the University of Illinois at Urbana-Champaign, affiliated with the Beckman Institute and ECE department. His research focuses on distributed systems, including cloud computing, IoT, and machine learning systems. He leads the Distributed Protocols Research Group (DPRG) and collaborates with industry to improve production systems. Indy is an IEEE Fellow, ACM Distinguished Scientist, and recipient of the NSF CAREER Award and multiple Best Paper Awards. Education: PhD in Computer Science from Cornell University (2004), B.Tech from IIT Madras (1998). Industry experience includes roles at Google, Microsoft Research, and IBM Research. Teaching: Teaches CS 425 (Distributed Systems), CS 525 (Advanced Distributed Systems), and a Coursera MOOC with 250K+ enrollments. Known for innovative teaching methods, including music-based CS education. Awards: Over a dozen awards including Best Paper recognitions at IC2E, CCGrid, and ICAC. His students have won NSF Fellowships, Rising Stars in EECS, and Microsoft Dissertation Grants. Service: Served as General Chair of ACM PODC 2007, PC co-chair for multiple conferences, and editorial board member for IEEE TCC and ACM TAAS. Hosts the podcast 'Immigrant Computer Scientists.' Research Impact: Contributions include fault-tolerant protocols (e.g., Zeno, SWIM), distributed ML systems, and cloud resource management techniques used by major tech companies.

Lee Millerمشاهده پروفایل

استاد

• Motor Control
• Neural Networks
• Brain-Machine Interfaces
• +۳ مورد دیگر

Lee Miller is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at the University of Chicago. His research focuses on understanding how the brain encodes movement commands through neural signals, with applications in developing brain-machine interfaces (BMIs) to restore motor function in paralyzed patients. His work integrates neuroscience, engineering, and computational methods to study neural networks in motor systems. Key research areas include decoding cortical signals to predict muscle activity, developing closed-loop BMIs, and investigating functional connectivity in neural circuits. Miller collaborates extensively with the Biomedical Engineering Department and the Interdepartmental Neuroscience Program (NUIN). His lab combines experimental approaches (e.g., chronic neural recordings) with computational tools to study neural dynamics and develop therapeutic technologies. Recent work emphasizes restoring hand function via cortically controlled functional electrical stimulation (FES), translating neural signals into muscle activation. His publications span neural decoding algorithms, sensory feedback systems, and the neurobiology of motor control. Miller’s contributions bridge fundamental neuroscience and clinical neuroengineering, with potential impacts on spinal cord injury rehabilitation and prosthetic control systems.

Elizabeth A. Wilsonمشاهده پروفایل

استاد

• Feminist Theory
• Queer Theory
• Psychoanalysis
• +۳ مورد دیگر

Elizabeth A. Wilson is the Samuel Candler Dobbs Professor in the Department of Women’s, Gender, and Sexuality Studies at Emory University, where she also serves as Director of Undergraduate Studies. She holds a Ph.D. in Psychology from the University of Sydney and a B.Sc. (Hons) in Psychology from the University of Otago. Her work bridges feminist theory, psychoanalysis, and affect theory, with notable contributions including Affect and Artificial Intelligence (2010), Gut Feminism (2015), and the co-authored A Silvan Tomkins Handbook (2020). Wilson has held fellowships at prestigious institutions such as the Institute for Advanced Study (Princeton) and the Radcliffe Institute (Harvard). Her research interrogates intersections between neurology, cognition, and feminist critique, including studies on Valerie Solanas and the politics of anger in feminist thought. She currently edits differences: A Journal of Feminist Cultural Studies . Her academic journey includes prior appointments at the University of New South Wales, Australian National University, and the University of Sydney. Wilson’s research interests focus on rethinking feminist theory through psychoanalytic and affective frameworks, challenging static boundaries between natural and political categories. Her work emphasizes mobility in neurocognitive processes and critiques reductionist approaches to scientific psychology. Recent projects include archival work on Valerie Solanas and editing Solanas’s letters for Duke University Press. She advocates interdisciplinary methodologies, particularly in applying affect theory to feminist discourse. Her publications span feminist theory, queer studies, and critical neuroscience, with grants supporting projects on academic job market trends in gender studies. Wilson’s teaching and mentorship reflect her commitment to undergraduate education and critical feminist pedagogy. She has been affiliated with Emory’s Fox Center for Humanistic Inquiry and other research initiatives.

Jennifer Suhمشاهده پروفایل

استاد

• Mathematics Education
• Lesson Study
• Mathematical Modeling
• +۴ مورد دیگر

Dr. Jennifer Suh is a Professor of Mathematics Education at George Mason University’s College of Education and Human Development. She co-directs the Center for Outreach in Mathematics Professional Learning and Educational Technology (COMPLETE), a partnership between the College of Education and the College of Science. Her work focuses on elementary mathematics education, teacher development through lesson study, and equitable instruction using mathematical modeling and technology. PhD in Mathematics Education Leadership with a specialization in Instructional Technology (George Mason University, 2005) Bachelor of Arts (University of Virginia, 1994) Masters in Teaching (University of Virginia, 1994) Dr. Suh’s research centers on: Building pedagogical content knowledge via lesson study and collaborative partnerships Promoting representational fluency through physical/virtual manipulatives Designing STEM problem-based learning (PBL) environments Developing equity-centered frameworks for technology integration Mathematical modeling for social justice and community contexts Her recent publications highlight trends in algorithmic thinking with AI tools, culturally responsive pedagogy, and adaptive learning environments. She also explores interdisciplinary approaches to mathematical modeling and 21st-century skills. Scientific awards include: Nomination (2011) for the Rising Star Outstanding Faculty Award by Virginia institutions Dr. Suh supervises teacher interns through George Mason’s Professional Development School Program and collaborates with Northern Virginia school districts via the COMPLETE center. She emphasizes authentic problem-solving and teacher leadership development.

• Computer Vision
• Applied Machine Learning
• Computer Graphics
• +۳ مورد دیگر

Fahim Hasan Khan is an Assistant Professor in the Computer Science and Software Engineering Department at California Polytechnic State University, San Luis Obispo (Cal Poly). His research focuses on computer vision, applied machine learning, and citizen science applications, with a special emphasis on environmental monitoring and education. He holds a PhD in Computer Science and Engineering from UC Santa Cruz, where he was advised by Professors Alex Pang and James Davis, and a Master's in Computer Science from the University of Calgary. Key research contributions include real-time rip current detection systems (RipFinder, RipScout), mobile citizen science platforms (SmartCS), and educational tools to engage high school students in STEM research. His work has received media attention for innovations in drowning prevention and environmental safety. Notable awards include the Best Poster Presentation Award at ICIAR 2019 and the Best of the Baskin School of Engineering Award at UC Santa Cruz in 2022. Dr. Khan collaborates extensively with industry and academic partners to develop practical solutions for challenges in marine safety, autonomous systems, and healthcare diagnostics. He actively mentors students and seeks to democratize access to machine learning tools through no-code platforms.

Michael Zimmerمشاهده پروفایل

استاد

• Privacy
• Data Ethics
• Internet Research Ethics
• +۴ مورد دیگر

Dr. Michael Zimmer is a Professor and Vice Chair in the Department of Computer Science at Marquette University and Director of the Center for Data, Ethics, and Society. His work focuses on privacy, data ethics, and the societal impacts of digital technologies. He holds a PhD in Media, Culture, and Communication from New York University, with a specialization in Gender Studies. Zimmer has held academic appointments at Marquette since 2019, previously serving at the University of Wisconsin-Milwaukee (2014–2019) and Yale Law School as an affiliated fellow. His research explores privacy challenges in smart technologies, healthcare AI, and pandemic surveillance. He teaches courses like Data Ethics and Social Implications of Data. Zimmer has led over $4M in grants, including NSF projects on pervasive data ethics and privacy negotiation in smart environments. His awards include the Way Klingler Fellowship (2025–2027) and recognition as a '10 People to Know in Technology' (2022). Zimmer’s publications span privacy in wearable tech, algorithmic bias, and cross-cultural data attitudes. He advises global initiatives like the Royal Melbourne Institute of Technology’s Society 5.0 Ethics Initiative and serves on editorial boards for journals like ACM Journal for Responsible Computing. His work bridges academia, policy, and industry to advance ethical tech practices.

Amy Blairمشاهده پروفایل

دانشیار

• Late 19th and Early 20th-century American Literature
• Early and New Republic-Era American Literature
• History of the Book
• +۳ مورد دیگر

Dr. Amy Blair is an Associate Professor of English at Marquette University and co-editor of the journal Reception: Texts, Readers, Audiences, History . She specializes in late 19th- and early 20th-century American literature, reception studies, and the history of print culture. Her research explores how middle-class readers engaged with canonical and popular texts through advice columns in magazines like Good Housekeeping and Ladies' Home Journal . Blair has authored two books: Reading Up (2012) and the upcoming Tasting and Testing Books (2024), which investigate literary reception and consumerism. She has received multiple grants and awards from Marquette University and the National Humanities Center. Her teaching focuses on American literature, material cultures, and gender studies, with courses like Moby Dick and Material Cultures: The Midwest . She currently serves as volume editor for The Gods Arrive in the Complete Works of Edith Wharton for Oxford University Press. Blair's work bridges historical literary analysis with modern interdisciplinary methods, emphasizing the role of readers in shaping cultural narratives. Awards: National Humanities Center Summer Institute (2005) Multiple Marquette University Faculty Fellowships (2004–2006) Faculty hall-STAR Award (2004, 2007) Her research trends emphasize magazine studies, middlebrow culture, and gendered reader agency, with recent work expanding into digital humanities frameworks for studying contemporary reading behaviors.

Anuj Kapoorمشاهده پروفایل

استادیار

• Digital Video Advertising
• AI Human Interaction
• Digital Platforms
• +۱ مورد دیگر

Anuj Kapoor is Assistant Professor in the Marketing Department at the University of Missouri's Robert J. Trulaske, Sr. College of Business. He researches digital video advertising, AI-human interaction dynamics, and digital platform optimization. Kapoor holds a doctorate in Business Administration from the University of Utah. His work examines how AI technologies transform advertising effectiveness through: Generative AI applications in personalized video content Multi-objective optimization of marketing interventions Transparency mechanisms in digital advertising Emotional congruence between ads and platform content Recent publications investigate trade-offs in skippable ad design, human-AI coaching comparisons, and information obfuscation effects. Kapoor employs large-scale field experiments to test theoretical frameworks in real-world digital environments.