Find Academic Supervisors

Maria M DakakeView profile

Professor

• Islamic Thought
• Qur'anic Studies
• Shi'ite and Sufi Traditions
• +3 more

Maria M Dakake is a Professor of Religion at George Mason University, affiliated with the Women and Gender Studies program. She holds a PhD in Near Eastern Studies from Princeton University (2000) alongside an MA from Princeton (1998) and a BA in Government from Cornell (1990). Her research focuses on Islamic intellectual history, Quranic exegesis, Shi‘ite and Sufi traditions, and gender studies in Islamic contexts. Her major publications include The Routledge Companion to the Qur'an (2022, co-edited) and The Study Quran (2015, general editor), which offer groundbreaking translations and commentaries on Islamic scripture. She is completing a monograph on Toward an Islamic Theory of Religion and working on a translation of 20th-century Iranian scholar Nusrat Amin's Quranic commentary. Dr. Dakake’s teaching spans courses such as Islamic Thought, Qur'an and Hadith studies, and Muslim Women Writers. Her work bridges academic rigor with public engagement, addressing contemporary issues like interfaith dialogue and pedagogical challenges in religious education. She has contributed to interdisciplinary projects analyzing Quranic terminology, Shi‘ite identity formation, and the role of women in Islamic spiritual traditions. Her research emphasizes textual analysis, historical contextualization, and comparative theological frameworks, reflecting her commitment to both scholarly innovation and community-focused scholarship.

• Software Engineering
• Software Testing
• Program Analysis
• +4 more

Alessandro Orso is the Dean and Professor of the University of Georgia College of Engineering. Previously, he served as a professor at Georgia Institute of Technology, where he directed the Scientific Software Engineering Center and held leadership roles, including interim dean of the College of Computing (2023–2024). He earned his Ph.D. and master’s in computer science and electrical engineering from Politecnico di Milano, Italy. Orso’s research focuses on software testing, program analysis, and debugging, with applications in improving software reliability and security. His work includes developing automated testing tools (e.g., AutoRestTest), methodologies for scientific software engineering, and techniques for program debloating. His research has secured funding from agencies and industry partners like Google, IBM, and Microsoft, including a $11M grant from Schmidt Futures. His scientific awards include being a Distinguished Member of the ACM and IEEE Fellow. He advocates for innovative education, such as Georgia Tech’s Online Master of Science in Computer Science and his virtual software engineering course. His publications span automated testing, API analysis, and security, reflecting his commitment to advancing both academic research and practical software solutions. Orso’s leadership includes directing the Scientific Software Engineering Center, which pioneers methodologies for scientific software improvement and trains a new generation of engineers. His career blends academic excellence with impactful industry collaborations, driving advancements in software engineering practices.

Helena de BresView profile

Professor

• Philosophy of Literature
• Moral Philosophy
• Personal Narration
• +5 more

Helena de Bres is a Professor of Philosophy at Wellesley College, where she teaches courses in ethics, political philosophy, and philosophy of literature. She is affiliated with both the Philosophy Department and the Peace & Justice Studies program. Her academic work spans multiple areas of philosophical inquiry with a distinctive focus on both theoretical and practical dimensions of justice and meaning. Her educational background includes a B.A. from the University of Victoria and both M.A. and Ph.D. from the Massachusetts Institute of Technology. De Bres's research centers on two primary areas: philosophy of literature (particularly memoir and personal narrative) and global distributive justice. In philosophy of literature, she examines questions about the nature of memoir, the relationship between personal narration and meaning in life, and the ethics of self-representation. Her book Artful Truths (University of Chicago Press, 2021) provides a comprehensive discussion of philosophical questions about memoir. In political philosophy, she has developed a pluralistic approach to global distributive justice, arguing that principles of justice apply to multiple sites of transnational governance rather than to the global system as a whole. Her work challenges conventional frameworks in international ethics and offers nuanced analyses of justice in international trade, transnational governance, and cross-border political associations. Her publication record demonstrates consistent scholarly output across these interconnected domains. The articles reveal a distinctive intellectual trajectory moving from welfare consequentialist approaches to global justice toward more pluralistic frameworks that recognize the complexity of international relationships. Her work on memoir and personal narrative represents a parallel strand of inquiry that connects with her broader ethical concerns about how we understand ourselves and our place in the world. ACLS Burkhardt Fellowship for Recently Tenured Scholars (held at Stanford in 2019-20) De Bres has developed innovative teaching approaches, including a semester-long writing workshop called Philosophy in the First Person through Wellesley's Calderwood Program in Public Writing. She has also taught this material in a condensed format at the University of Vienna. Her teaching interests align with her research, focusing on ethics, political philosophy, and philosophy of literature. She has received recognition for her scholarly contributions through competitive fellowships and has built a substantial publication record in top philosophy journals. Her current projects include a book on personal philosophical writing that aims to make a case for more personally-inflected philosophical expression within the academic profession. This work bridges her interests in both the theory and practice of philosophy, connecting her scholarship on narrative with her commitment to public philosophy and creative writing.

Sandeep ReddivariView profile

Associate Professor

• Software Engineering
• Requirements Engineering
• Visual Analytics
• +7 more

Sandeep Reddivari is an Associate Professor and Interim Graduate Director at the School of Computing, University of North Florida . Holding a Ph.D. in Computer Science and Engineering from Mississippi State University, his work focuses on software engineering , particularly requirements engineering , visual analytics , and software maintenance , with funding from the NSF, US Army Corps of Engineers, NSA, and UNF Foundation. Education : Ph.D. (2014, Mississippi State University), M.S. (2009, Texas A&M University), B.Tech. (2006, JNTU) Research Themes : Requirements Engineering, Visual Analytics, Data Mining, Machine Learning, GenAI, Software Security Teaching : Courses in Software Engineering, Data Science, and Database Systems Awards : NSF Grant Recognition (2024), Best Doctoral Symposium Poster (2013), Outstanding Graduate Teaching Award Nominee (2018) Publications span top venues like IEEE RE, ICSE, and COMPSAC, with a focus on combining visual analytics and machine learning to enhance software decision-making. His lab at UNF mentors students in directed independent studies, emphasizing code navigation , blockchain , and educational software tools .

Kevin WebbView profile

Associate Professor

• Networks
• Distributed Systems
• Cloud Computing
• +5 more

Kevin Webb is an Associate Professor in the Computer Science Department at Swarthmore College . He earned his Ph.D. in Computer Science in 2013 from the University of California, San Diego (UCSD) , advised by Alex Snoeren and Ken Yocum. His academic journey includes a Master of Science (2010) and Bachelor of Science (2007) in Computer Science from UCSD and Georgia Tech, respectively. Research Interests: Networks , Distributed Systems , Cloud Computing , Operating Systems , Parallel Computation , and Computer Science Education Research (focusing on assessment and interactive teaching methods). Publications: His work spans topics like topology switching, tenant segregation in cloud networks, concept inventories for data structures, and tools like Blender and ParaVis. He is a co-author of the open-access textbook Dive into Systems , which introduces computer architecture and systems to students with only a CS1 background. Teaching: He has taught courses such as CS31: Introduction to Computer Systems , CS45: Operating Systems , and CS43: Computer Networks at Swarthmore. At UCSD, he served as a teaching assistant and instructor for courses on distributed systems and operating systems. Contact: Kevin is reachable at kwebb@cs.swarthmore.edu .

Kegang LingView profile

Associate Professor

• Reservoir Engineering
• Rock Geomechanics
• Natural Gas Engineering
• +5 more

Kegang Ling is an Associate Professor in the Department of Energy and Petroleum Engineering at the University of North Dakota (UND) College of Engineering & Mines. He is also the Undergraduate Program Director for Petroleum Engineering, teaching courses like Reservoir Rock Properties and Natural Gas Engineering. With over 25 years of industry experience, his work bridges academia and practical applications in unconventional reservoirs. Ph.D., Petroleum Engineering, Texas A&M University (2010) M.S., Petroleum Engineering, University of Louisiana at Lafayette (2006) B.S., Geology, China University of Petroleum at Beijing (1995) His research focuses on CO2/H2 storage, natural gas engineering, and production optimization. Recent work applies discrete element modeling to rock properties and machine learning to EOR screening. He leads projects on fly ash utilization for drilling fluids and leakage detection in pipelines, emphasizing sustainability and efficiency. The last five years of publications show expertise in unconventional reservoir geomechanics, CO2 storage, and solvent-based EOR. Collaborations with SPE conferences and NSF-funded projects highlight interdisciplinary and applied trends. Keywords span Petroleum Engineering , Rock Mechanics , and Machine Learning , with subfields like huff-n-puff EOR and wellbore flow assurance . Scientific Awards & Funding: SPE Faculty Enhancement Travel Grant (2013, 2014) NSF Grant ($585,405): Nano-scale hydrocarbon thermodynamics NDIC Grants ($6.7M total): CO2 EOR, geomechanics, drilling fluids Research North Dakota Grant ($178,000): Cell mechanics for cancer diagnosis He has advised 5 graduate students (Ph.D./M.S.) and contributed to 130+ publications. Current funding includes projects on produced water treatment and molecular thermodynamics in nano-scale pores.

Dandan LiuView profile

Associate Professor

• Biostatistics
• Epidemiology
• Alzheimer's Disease
• +3 more

Dandan Liu serves as Associate Professor of Biostatistics at Vanderbilt University Medical Center, holding dual leadership roles as Executive Director of the Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Director of the Vanderbilt Institute for Clinical and Translational Research (VICTR) Methods Program. Her work bridges statistical methodology development with clinical and translational research across multiple disciplines. Her educational foundation includes a PhD in Biostatistics from the University of Michigan, providing the theoretical basis for her methodological innovations. Dr. Liu's research program demonstrates exceptional breadth, with core expertise in longitudinal data analysis for neurodegenerative diseases—particularly Alzheimer's progression modeling using cognitive and neuroimaging biomarkers. She maintains parallel research streams in parasitology (focusing on Eimeria and Toxoplasma pathogenesis in poultry) and environmental statistics (carbon footprint assessment and sustainable systems modeling). Her methodological contributions span predictive modeling for ordinal outcomes, robust signal processing techniques, and high-dimensional 'omics data analysis. Analysis of her 2023-2025 publications reveals three dominant thematic clusters: neurodegeneration research (comprising 40% of output, featuring amyloid biomarker studies and cognitive trajectory modeling), parasitology applications (35%, emphasizing vaccine development and infection dynamics), and environmental sustainability (25%, including geospatial optimization and life cycle assessment). This distribution reflects her strategic focus on high-impact biomedical problems while maintaining methodological versatility. No scientific awards were documented in the provided source material. While specific doctoral advising activities and grant portfolios weren't detailed, her extensive publication record across diverse domains indicates active mentorship of research teams and successful acquisition of collaborative funding through VBDCC and VICTR channels. She directs two major research infrastructure units: the Vanderbilt Biostatistics Data Coordinating Center (VBDCC), which provides statistical leadership for multi-center clinical trials, and the VICTR Methods Program, which develops innovative approaches for translational research design and analysis. These centers facilitate cross-departmental collaboration between biostatisticians and domain scientists across Vanderbilt's medical and engineering schools.

• Operations Research
• Data Analytics
• Machine Learning
• +4 more

Dr. Katie McConky is a Professor and Department Head of Industrial and Systems Engineering at Rochester Institute of Technology (RIT). She holds a Ph.D. in Industrial Engineering from SUNY Buffalo and prior experience as a research scientist at CUBRC Inc., where she worked on military and data mining projects. Her research focuses on operations research, machine learning, and energy systems optimization, addressing challenges in combinatorial optimization, cyberattack forecasting, and sustainable energy management. She has secured funding from agencies like ONR, AFRL, NASA, and NYSERDA. Education: BS and MS (RIT), Ph.D. (SUNY Buffalo) Key Roles: Department Head, Faculty Member, Research Scientist (CUBRC) Her work spans applications such as kidney exchange optimization, rover mission planning, and energy demand forecasting. She emphasizes interdisciplinary collaboration in her research, integrating machine learning with traditional optimization techniques. Dr. McConky’s publications highlight advancements in forecasting methodologies for cyber threats, energy systems, and transportation logistics. She teaches courses including Operations Research and Forecasting Methods, emphasizing practical software tools like Gurobi. Her contributions include patents on remote activity detection and energy storage optimization. Her research is supported by grants from federal agencies and industry partners, reflecting her expertise in both academic and applied domains.

Zhiyong ZhangView profile

Professor

• Bayesian methods
• Network analysis
• Big data analysis
• +4 more

Zhiyong (Johnny) Zhang is a Professor of Quantitative Psychology at the University of Notre Dame and serves as the Quantitative Area Director. He is the director of the Lab for Big Data Methodology and a Fellow at the Institute for Educational Initiatives. His primary research areas include Bayesian methods, network analysis, structural equation modeling, and statistical computing. Dr. Zhang holds a Ph.D. in Quantitative Psychology from the University of Virginia. His work focuses on developing advanced statistical methodologies and software for education, health, management, and psychology. He is the Editor of the Journal of Behavioral Data Science and an Associate Editor of Multivariate Behavioral Research. His research trends span Bayesian inference, neural network applications, mediation analysis, and methodological innovations in factor analysis and latent growth models. He has contributed to software tools like WebPower for statistical power analysis and RAMpath for structural equation modeling. Zhang has received prestigious awards, including Fellow status in the American Psychological Association and election to the Society of Multivariate Experimental Psychology. His advising and grants include mentoring students in quantitative methodologies and leading research on text mining, emotion recognition, and big data applications. The Lab for Big Data Methodology under his direction advances interdisciplinary statistical approaches.

Markus G. PuderView profile

Professor

• Environmental Law
• International Law
• Comparative Law
• +6 more

Markus G. Puder is a Professor at Loyola University New Orleans College of Law, where he teaches courses including International Organizations, Introduction to US Law, Civil Law, Property, and Energy and Environment in International Law. He holds a Ph.D. in Law from Ludwig-Maximilians University, an LL.M. in Common Law Studies from Georgetown University, and completed both German legal state examinations. Dr. Puder is a member of the U.S. Supreme Court Bar and holds multi-bar certification in Germany, recognized within the European Union. Education: Ph.D. in Law (Ludwig-Maximilians University), LL.M. (Georgetown University), First and Second Legal State Examinations (Munich-based institutions) Dr. Puder’s research focuses on Environmental Law , International Law , Comparative Law , and Legal History , with particular emphasis on mixed legal systems like Louisiana’s civil-common law fusion. His work bridges Legal Linguistics , Federalism , and UN Law , analyzing topics such as hydraulic fracturing regulation, legal transplants, and climate change litigation. Recent publications explore Global South climate actions in European courts, comparative property law in Russia and Germany, and the role of Ecocide in international legal frameworks. Scientific awards and fellowships include the Fulbright Program, Germany’s National Scholarship Foundation, and the The Honorable Herbert W. Christenberry Distinguished Professor of Law title. He has served as Faculty Director of LL.M. Programs and held visiting positions at institutions in Lebanon, Italy, Germany, and Austria. His multilingual expertise (German, French, Spanish, with intermediate Russian/Arabic/Portuguese/Italian) supports cross-jurisdictional research and teaching. Dr. Puder’s publications span over 40 law review articles and multiple books, including co-authored texts like Law in the United States and Louisiana Property Law , as well as a first bilingual German-English edition of the Louisiana Civil Code. His work with the U.S. Department of Energy at Argonne National Laboratory and contributions to environmental policy deliverables highlight his interdisciplinary approach. He also maintains a parallel career as a concert violinist .

• Cognitive Neuroscience
• Attention
• Working Memory
• +7 more

Ben Tamber-Rosenau is an Assistant Professor in the Department of Psychology at the University of Houston, part of the College of Liberal Arts and Social Sciences. He leads the Cognitive Neuroscience of Attention Lab, where he investigates the cognitive and neural mechanisms underlying human attention, working memory, and perceptual representation. His research focuses on understanding the flexible-yet-limited nature of human cognition, particularly how the brain processes information across tasks and how this leads to capacity limits in attention and memory. He employs advanced methodologies including fMRI, MVPA, tDCS, computational modeling, and behavioral experiments. The recent publications highlight a strong trend in exploring the architecture of attention, the nature of working memory representations, and the neural basis of cognitive control. His work bridges cognitive psychology and neuroscience, with emphasis on both theoretical models and empirical validation using neuroimaging and stimulation techniques. Ph.D. in Psychological & Brain Sciences, Johns Hopkins University Postdoctoral training, Vanderbilt University (with René Marois and Isabel Gauthier) He is actively mentoring graduate and undergraduate students in his lab and is involved in training future cognitive neuroscientists in both theoretical knowledge and technical skills. His research program aims to expand to aging and clinical populations to ameliorate cognitive deficits. He has no listed scientific awards in the provided text. He utilizes a multidisciplinary approach involving fMRI, brain stimulation, computational modeling, and behavioral paradigms. His lab collaborates across domains and supports independent research development among students.

Manar MohaisenView profile

Associate Professor

• System Security
• Wireless Communications
• Network Analysis

Manar Mohaisen serves as an Associate Professor in the Department of Computer Science at Northeastern Illinois University's College of Business and Technology. She teaches foundational courses including CS-200 Programming, CS-207 Programming II, and CS-360 Cybersecurity from her office in CBT 146, with contact available via m-mohaisen@neiu.edu or (773) 442-4714. Her academic credentials include: Ph.D. from Inha University, South Korea Dr. Mohaisen's research program centers on System Security , Wireless Communications , and Network Analysis . Her cybersecurity work investigates denial-of-service attack methodologies and network defense mechanisms, while her wireless communications research pioneers advanced modulation techniques like quadrature spatial modulation for next-generation networks. She bridges technical and business domains through social media ROI measurement frameworks. Her 2020-2021 publications reveal three dominant research threads: (1) Wireless communications with 5 of 6 papers focusing on spatial modulation variants and constellation design; (2) Cybersecurity with empirical analysis of pulsing denial-of-service attacks; and (3) Social media analytics through network ROI frameworks. These appear across interdisciplinary journals including Applied Sciences, Computer Networks, and Internet Research. No scientific awards were documented in the source material. Student advisement details and research grant information are not specified in the available records. Research laboratory or team affiliations were not mentioned in the provided documentation.

Fredrik KjolstadView profile

Assistant Professor

• Compilers
• Programming Models
• Systems
• +5 more

Fredrik Kjolstad is an Assistant Professor of Computer Science at Stanford University. His research focuses on compilers, programming models, and systems for sparse computing, with an emphasis on separating algorithms from data representation. He leads efforts in developing compilers like TACO, Simit, and Legate Sparse to optimize sparse tensor algebra and distributed computations. Kjolstad's work spans compiler design, hardware-software co-design, and programming languages for high-performance computing. His research group aims to enable portable applications across diverse data representations and architectures. Notable projects include the TACO compiler for sparse tensor algebra, the Simit programming language for physical simulations, and the Copy-and-Patch compilation technique for fast runtime code generation. He has also contributed to distributed systems like Legate Sparse and hardware accelerators such as Onyx. Kjolstad has received prestigious awards including the NSF CAREER Award and the MIT EECS PhD Thesis Award. His publications cover topics like sparse tensor compilation, compiler optimization, and agile hardware design. He advises multiple PhD students and collaborates with researchers like Kunle Olukotun and Alex Aiken. Key areas of impact include efficient sparse data processing, compiler-driven hardware design, and scalable distributed computing frameworks. His work bridges theoretical compiler techniques with practical system implementations, aiming to simplify and accelerate complex computational tasks.

Yueqi LiView profile

Assistant Professor

• Auditing
• Cybersecurity
• Risk Management
• +4 more

Yueqi Li is an Assistant Professor of Management and Business at Skidmore College, affiliated with the Department of Management & Business. She holds a Ph.D. in Information Science from SUNY Albany (2023) and degrees in Forensic Accounting, Business Administration, and Corporate Finance. Her research focuses on auditing, cybersecurity, risk management, AI in auditing, and natural hazard preparedness. She teaches MB 234 Foundations of Financial Accounting. Education: Ph.D., Information Science, SUNY Albany (2023) M.S., Forensic Accounting, SUNY Albany B.S., Business Administration, Massachusetts College of Liberal Arts B.S., Corporate Finance, Shanghai University of International Business and Economics Research Interests: Dr. Li explores the intersection of auditing practices, cybersecurity challenges, and emerging technologies. Her work addresses auditor readiness for AI systems, remote audit quality, household responses to natural hazards, and digital financial literacy. She employs behavioral models like the Extended Parallel Process Model to analyze risk perception and mitigation strategies. Her research trends emphasize auditing innovation in the digital age, cybersecurity capabilities of auditors, and multi-hazard preparedness frameworks. She has presented at AAA Annual Meetings and IEEE conferences, focusing on AI auditability, disaster response, and cybersecurity education. Awards: No scientific awards explicitly listed in the text. Advising and Grants: No formal advisees or grants detailed in the text. Labs/Teams: No specific lab or team affiliations mentioned.

• Operations Research
• Data Analytics
• Optimization
• +6 more

Geunyeong Byeon is an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University (ASU). She previously held postdoctoral positions at Argonne National Laboratory and Los Alamos National Laboratory. Her research focuses on large-scale optimization methodologies for decision-making in energy systems and interdependent infrastructure networks. Byeon teaches courses in operations research, optimization, and data-driven methods at both undergraduate and graduate levels. Education Ph.D. in Industrial & Operations Engineering (2020), University of Michigan, Ann Arbor M.S. in Industrial Engineering (2016), Seoul National University, South Korea B.S. in Industrial Management Engineering (2014), Korea University, South Korea Research Interests Byeon specializes in developing optimization frameworks for complex systems, including energy grids and interdependent infrastructures. Her work emphasizes distributionally robust optimization , Benders decomposition , and federated algorithms , with applications to power systems, resilient distribution networks, and multi-agent decision-making under uncertainty. She bridges theoretical advancements with practical computational implementations. Teaching Highlights Optimization I (2022-2024) Computing for Data-Driven Optimization (2021-2025) Probability and Statistics for Engineering (2021) Awards MICDE Fellowship (University of Michigan, 2018) Rising Stars in Computational & Data Sciences Nominee (2020) Richard & Eleanor Towner Prize for Outstanding Ph.D. Research (Honorable Mention, 2019) Professional Service Byeon has reviewed for prestigious journals including INFORMS Journal on Computing , Management Science , and IEEE Transactions on Power Systems , and conferences like the Power Systems Computation Conference.