Vibhav Gogate is a Professor and Associate Head of Research at University of Texas at Dallas, specializing in machine learning and artificial intelligence. His research focuses on probabilistic graphical models, statistical relational learning, and integrating deep learning with graphical models. Professor Gogate has received numerous awards including the NSF CAREER Award (2017), Outstanding Researcher Award (2022, 2017), and Best Paper awards at top AI conferences. His research funding includes projects from NSF and DARPA. Education: PhD, University of California, Irvine MS, University of Maine BS, University of Mumbai Recent Publications: His research spans probabilistic inference, tractable models, and neural network approaches for efficient reasoning, with publications in NeurIPS, AAAI, UAI, and AISTATS. Recent work focuses on scalable inference methods and explainable AI systems for complex domains. Research Funding: Secured over $8M in grants from DARPA and NSF for projects in explainable AI and probabilistic reasoning. Teaching: Regularly teaches graduate and undergraduate courses in Machine Learning, Artificial Intelligence, and Advanced Statistical Methods.
Romin W. Tafarodi is an Associate Professor in the Department of Psychology at the University of Toronto, where he researches cultured subjectivity and identity formation. He holds a B.A. from the University of Waterloo and a Ph.D. from the University of Texas at Austin. His work examines how societal symbols and institutional relations shape human individuality and interpersonal understanding, with secondary interests in metapsychology and philosophy of science. Research interests focus on: Self-consciousness as culturally-mediated subjectivity Contingencies of identity in social relations Cross-cultural perspectives on selfhood and personhood Philosophical foundations of psychological science His publications demonstrate consistent focus on cross-cultural identity, self-esteem mechanisms, and social perception, with frequent comparative studies between Eastern and Western societies. Recent works explore multicultural adjustment, implicit bias awareness, and narrative identity in diverse cultural contexts. Current and former graduate students include: Siobhan Flanagan (current) Tara Marshall Greg Bonn Jeff Yen Courses taught in 2024-2025: PSY197: The Extended Mind PSY428: Critical Psychology PSY425: Self and Identity
Marjorie Corman Aaron serves as Professor of Practice and Director of the Center for Practice at the University of Cincinnati College of Law, where she teaches negotiation, client counseling, trial practice, mediation, and decision analysis. Her leadership oversees the law school's trial practice program and student competition teams in dispute resolution. Her academic foundation includes a BA from Princeton University and JD from Harvard Law School. Professor Aaron's research revolutionizes lawyer-client communication through structured decision-making frameworks. She pioneered methodologies for counseling clients through legal uncertainties, emphasizing decision tree analysis to quantify risks and outcomes. Her seminal works "Client Science" and "Risk and Rigor" bridge psychological insights with practical legal strategy, transforming how attorneys navigate complex negotiations and settlement discussions while maintaining ethical rigor. Her scholarly trajectory reveals consistent innovation in dispute resolution pedagogy, evolving from foundational decision analysis techniques to contemporary explorations of mediator neutrality in politically charged contexts and ethical implications of nondisclosure agreements. Her distinguished recognition includes: Harold C. Schott Scholarship Award (2019) Goldman Prize for Excellence in Teaching (2010) University President’s Excellence Award for Teaching (2006) American College of Civil Trial Mediators Education/Training Achievement Award (1998) CPR Institute for Dispute Resolution Second Prize for Excellence (1995) As an educator, she mentors students through national competition teams while extending her impact via workshops for law firms, corporations, and government entities. Her digital platforms (clientsciencecourse.com and riskandrigor.com) provide global resources for legal educators, complemented by frequent guest lectures at Harvard, Michigan, and international institutions. The Center for Practice functions as an experiential learning hub under her direction, integrating theoretical knowledge with hands-on trial advocacy training and dispute resolution simulations that prepare students for real-world legal practice.
Zita Vale is a Full Professor at the Institute of Engineering (ISEP) of the Polytechnic of Porto (IPP), where she holds the first Full Professor position since 2017. She is a co-founder of GECAD (1999) and coordinates GECAD's Power and Energy (PES) activities. GECAD is recognized by FCT since 2004 and classified as Excellent. She has served as GECAD director (2010-2017), vice-director (1999-2009, 2017-present), and is a member of the administration board. She is also co-founder and member of the coordination board of the National Associated Laboratory on Intelligent Systems. Her educational background includes a PhD (1993) and Agregação/Habilitation (2003) in Electrical and Computer Engineering from the University of Porto. She began her academic career at the University of Porto as a Teaching Monitor (1985), Assistant (1985-1993), and Professor (1993-1998) before moving to ISEP in 1998. Zita Vale's research focuses on the design and development of artificial intelligence-based models for Power and Energy Systems. Her work spans knowledge-based systems, multiagent systems, machine learning, metaheuristics, and semantics, with applications in smart grids, energy management, electricity markets, and renewable energy integration. She has an extensive international network and has participated in 80 R&D projects, raising over 22 million Euros for GECAD. Her recent publications demonstrate a strong emphasis on optimization techniques, explainable AI, energy storage systems, and the integration of distributed energy resources in power systems. She serves as Editor-in-Chief of Applied Energy (Elsevier), a leading journal in the field with an Impact Factor of 11.2. Her citation metrics are impressive, with over 17,000 citations on Google Scholar and an H-index of 64. Editor-in-Chief of Applied Energy (Elsevier) Over 17,000 citations on Google Scholar H-index of 64 Zita Vale has supervised 29 PhD students (25 completed) and 72 MSc students (66 completed), demonstrating her strong commitment to academic mentorship. She has also been involved in numerous international and national evaluation processes, including project proposals, faculty positions, and PhD juries across 15+ countries. She has contributed to over 225 evaluation processes from 2018-2023, including 150+ project proposals/execution, 50+ Faculty/Researchers positions, 2 Habilitation juries, and 25+ PhD juries. She leads GECAD's involvement in several major research initiatives, including the National Associated Laboratory on Intelligent Systems and various European projects such as IoTalentum, TRADERES, DOMINOES, and EcoRural-IoT from Horizon 2020, as well as PRODUTECH EU DIH from Horizon Europe. Her leadership extends to international organizations where she serves as President of Intelligent Systems Applications in Power (ISAP) and Technical Committee Program Chair of IEEE PES Analytic Methods for Power Systems Committee.
Associate Professor Ernest Ekpo is affiliated with the University of Sydney's Sydney School of Health Sciences, within the Discipline of Medical Imaging Sciences. He holds academic roles as a Scholarly Teaching Fellow and Co-Director of the Medical Image Optimisation and Perception Group (MIOPeG). He is also an Associate Editor of the Journal of Medical Imaging and Radiation Sciences and a member of the Sydney Southeast Asia Centre and Cancer Research Network. Education: Earned BSc (Hons) in Radiography/Sonography from the University of Calabar, Nigeria, and a PhD from the University of Sydney. His research focuses on breast density, cancer biomarkers, medical image perception, radiation dose optimization, and radiology education. He explores applications in low-resource settings and emerging technologies like AI for diagnostic accuracy. Research interests include breast cancer treatment outcomes, image-based phenotypes, and improving imaging pathways for acute abdominal pain. Key themes are Cancer and Medical Imaging, with an emphasis on Women's Health and Chronic Disease. His work combines clinical practice, public health strategies, and technological advancements to enhance diagnostic efficacy and reduce unnecessary procedures. Articles from 2021–2024 highlight his contributions in mammography optimization, radiographer training, and AI-driven diagnostic tools. Recent grants include a 2024 project on CT examination education and a 2023 initiative to streamline breast cancer screening pathways. His awards recognize peer review excellence, early-career teaching, and research leadership. He supervises multiple students investigating breast density biomarkers, imaging modalities for dense breasts, and radiation dose management. His educational efforts aim to improve radiographers' capabilities in identifying urgent findings across CT and X-ray modalities, leveraging blended learning approaches.
Mahsan Nourani is a Research Assistant Professor at Northeastern University, specializing in intersections of human-computer interaction, artificial intelligence, and healthcare informatics. Their research focuses on explainable AI systems, user behavior in AI partnerships, and design of interactive machine learning tools. Current work explores cognitive biases in human-AI collaboration, predictive analytics in healthcare, and activity recognition in videos. Key research areas include user profiling in AI applications, trust dynamics in intelligent systems, and visual debugging tools for machine learning models. Notable projects include the HEART initiative for real-time healthcare analytics and development of the DETOXER explanation framework for temporal classification systems. Recent publications investigate nudge techniques for behavioral change (Romadoro project), anchoring bias effects in AI system trust, and evaluation of view rotation techniques in virtual reality navigation. Their work consistently bridges technical AI advancements with human-centered design principles. No academic awards are listed in the provided materials. Current affiliations include Northeastern University's research groups in AI ethics, human-computer interaction, and healthcare technology innovation.
Dr. Rajesh Bhargave is an Associate Professor of Marketing at the Department of Analytics, Marketing and Operations within Imperial Business School, Imperial College London. He holds a B.B.A. from the University of Texas at Austin and a Ph.D. from the Wharton School of the University of Pennsylvania. His research focuses on consumer behavior, particularly how social contexts and digital tools influence decision-making and product evaluations. Dr. Bhargave’s academic journey includes prior faculty positions at the University of Texas at San Antonio before joining Imperial College London. He teaches across programs including MBA, Executive Education, and Pre-experience Masters, emphasizing practical application of marketing principles. His research explores two primary areas: (1) the impact of social environments on product preferences, analyzing shared versus solitary consumption experiences, and (2) how online technologies reshape consumer decision-making processes. Key topics include hedonic judgments, numerical processing in choices, and the psychological effects of digital cues like 'cloud' reminders. His publications span journals such as Journal of Consumer Research and Psychological Science , reflecting a strong focus on behavioral economics and consumer psychology. Notable themes include 'collective satiation,' 'cue-of-the-cloud effects,' and the role of round numbers in consumer perceptions of product longevity. Dr. Bhargave has advised students such as JORGE PENA-MARIN and Nicole Votolato Montgomery. While no scientific awards are explicitly listed, his work contributes significantly to marketing theory and practice. His research and teaching underscore the intersection of technology, social dynamics, and consumer behavior.
Professor Jill Atkins is a Professor of Accounting at Cardiff Business School, Cardiff University, with a distinguished career spanning accounting and finance. She also serves as a Visiting Professor at the University of the Witwatersrand in South Africa. As a leading academic in sustainable accounting, she has published over 50 journal articles and several influential books, establishing herself as a thought leader in the field of extinction accounting and biodiversity finance. Professor Atkins holds a BA Hons (First Class) in European Economics with a Licence ès Sciences Economiques from the University of Nantes, an MSc in Corporate and International Finance from the University of Durham, and a PhD in Finance from the University of Manchester. She is Series Editor for the de Gruyter Studies in Corporate Governance and has authored the leading international textbook "Corporate Governance and Accountability," now in its 5th edition. Professor Atkins' research focuses on three interconnected areas that have significantly contributed to sustainability accounting literature. Her work on private social and environmental reporting (SER) has evolved into "private integrated reporting," where institutional investor engagement processes increasingly integrate social, environmental, and financial issues. She has pioneered the development of "extinction accounting," creating a framework that has inspired extensive international academic research and influenced investment institutions' pollinator engagement strategies. Her third major contribution involves exploring the historical roots of environmental and ecological accounting, connecting accounting history with sustainability research across various historical periods from Victorian water pollution accounting to 18th century nature diaries. Analysis of Professor Atkins' recent publications reveals a clear trajectory toward increasingly specialized and urgent environmental accounting. Her work has evolved from general sustainability reporting to highly focused extinction accounting frameworks, with growing attention to historical precedents and cross-cultural applications. The publications demonstrate a sophisticated integration of critical accounting theory with practical applications in biodiversity conservation, showing how accounting mechanisms can serve as tools for species protection and environmental preservation. Her research increasingly incorporates interdisciplinary perspectives, drawing from ecology, history, art, and philosophy to develop comprehensive approaches to extinction governance. Professor Atkins has received significant recognition within the ESG investment industry and governance circles as a thought leader, regularly invited to give keynotes at international practitioner and academic events. She has led influential projects including a Nuffield Foundation-funded study on private SER and has developed innovative frameworks such as the extinction governance model that brings together accounting practices with governance mechanisms aimed at preventing species extinctions. Professor Atkins supervises doctoral candidates in extinction accounting, extinction governance, ESG investment, accounting for biodiversity, and corporate governance (qualitative research). She has established collaborative networks with leading practitioners in responsible investment, sustainability ratings, financial analysis, and reporting framework providers, including the Capitals Coalition, Moody's, Vigeo Eiris, AXA, and the WWF.
Dr. TAN Wee Kek is an Associate Professor (Educator Track) in the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. He served as Assistant Dean in the School's Office of Student Life from 2019 to 2024 and has been a Fellow of the NUS Teaching Academy since 2017. He holds a Doctor of Philosophy in Information Systems and Bachelor of Computing in Information Systems (First Class Honours) from NUS, and previously earned a Diploma in Computer Information Systems from Singapore Polytechnic. His research focuses on Technology-Enhanced Learning (TEL), particularly artificial intelligence applications in education, and consumer-based information technology including online decision aids, social computing, virtual worlds, and consumer cloud services. His methodological approach primarily employs design science paradigms. Publication analysis reveals his scholarly work spans educational technology, e-commerce systems, human-computer interaction, and information systems pedagogy, with recent emphasis on learning analytics and AI-enhanced educational frameworks. Major Honors: Commendation Medal from Singapore's President (2017) Multiple Annual Teaching Excellence Awards (2009-2024) Crystal Service Award, WorldSkills Singapore Council (2018) Lee Kuan Yew Award for Mathematics and Science (2001)
Professor Richard Bussmann is a Professor of Egyptology at the Institute for African Studies and Egyptology, University of Cologne. His office is located at Meister-Ekkehart-Str. 7, first floor, room 1.04 in Cologne, Germany. He has made significant contributions to the field of Egyptology, particularly in the areas of social archaeology of ancient Egypt, urbanism in North-Eastern Africa, and cross-cultural comparison of early complex societies. Professor Bussmann's research focuses on combining Egyptology with social archaeology, anthropology and cultural history. His work revolves around questions of ancient Egyptian society and culture at a local level, using material, visual and written sources to understand long-term transformations in North-Eastern Africa. His chronological focus spans from late prehistory to the New Kingdom (the Bronze Age), though he also examines earlier and later developments. His research includes a book on community shrines of the third millennium, examining how central administration penetrated into local milieus. He is currently writing "The Archaeology of Pharaonic Egypt," which synthesizes discussions of Egyptian society and culture from the Old to the Middle Kingdom. He directs a project on seals and seal impressions from Hierakonpolis to investigate administrative practice in early Egypt and co-directs the archaeological fieldwork project at Zawyet Sultan, exploring life of a local community from prehistory to the present day. Professor Bussmann has published extensively, with recent works including "The archaeology of pharaonic Egypt: society and culture, 2700-1700 BC" (2023) and "Zawyet Sultan: second preliminary report. Excavation season 2022" (2023). His publications demonstrate a strong focus on social structures, urban development, and cultural practices in ancient Egypt, particularly during the Old and Middle Kingdoms. His professional memberships include: Secretary General of the International Association of Egyptologists Full member of the German Archaeological Institute Member of scientific advisory board of the Cairo division of the German Archaeological Institute Speaker of the Association of archaeological institutions in Cologne and Bonn Deputy speaker of the Research Training Group 1878 "Archaeology of premodern economies" Member of the advisory board of the Competence Area IV, University of Cologne Member of the steering committee of the Friends of Egyptology in Cologne "Uschebti e.V." Member of the board of the German Association of Egyptology Professor Bussmann has supervised numerous PhD students, including Anouk Everts, Isabell Steinhardt-Sedlak, Lisa Augner, and others, working on diverse topics ranging from social networks in the Middle Kingdom to economic systems and resource management in ancient Egypt. His teaching focuses on Egyptian archaeology and language, with an emphasis on source critical skills and theoretically informed discussions of ancient Egyptian society and culture.
Julia Parish-Morris is an Associate Professor of Psychiatry at the Perelman School of Medicine, University of Pennsylvania, and a Senior Principal Scientist at the Center for Autism Research, Children's Hospital of Philadelphia (CHOP). She directs the Social Attention and Language (SoAL) Lab, focusing on language and social cognition in children with neurodevelopmental conditions like autism, particularly exploring sex differences. Education: BA in Psychology from Smith College (2003), PhD in Developmental Psychology from Temple University (2011) Research Interests center on using computational linguistics, immersive virtual reality, and eye-tracking to identify mechanisms underlying conversation challenges in autism across the lifespan. Her work aims to inform individualized supports and early identification, with a focus on objective behavioral markers via machine learning. Publications highlight trends in sex differences, social communication, and vocal biomarkers in autism. She examines clinician biases, conversational dynamics, and camouflaging in autistic girls using advanced technologies. Scientific Awards: Presidential Fellowship National Science Foundation Graduate Research Fellowship Autism Science Foundation Postdoctoral Fellowship American Psychological Association Dissertation Award Alavi Dabiri Award Award of Excellence from the Center for Autism Research Advising: Mentors undergraduate interns in the SoAL Lab, fostering research on clinical language and social attention phenotypes. Grants: Funded by NIH, DoD, Autism Science Foundation, MindCORE, NSF, Eagles Charitable Trust, and industry sponsors. Labs & Teams: Leads the SoAL Lab at CHOP, collaborating with institutions like the Lifespan Brain Institute and University of Pennsylvania. The lab recruits interns and engages in projects such as CONNECT and Huddle Up for Autism.
Peng Chen is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics, Southern University of Science and Technology, Shenzhen, China. He has served in this position since December 2022, following his role as an Assistant Professor from September 2021 to December 2022 at the same institution. Educational Background: Ph.D. (2010-2016), Institute of Physics, Chinese Academy of Sciences, China Bachelor (2006-2010), Department of Physics, Northwestern University, China Dr. Chen's research focuses on developing high-performance two-dimensional semiconductor information devices and integration technologies for the post-Moore era. His work spans the development of new materials, novel device principles, and high-performance integrated circuits based on 2D electronic devices. By exploring the fundamental physics of 2D materials and their heterostructures, his research aims to overcome the performance limitations of conventional micro- and nanoelectronic devices and circuits. His publication record demonstrates expertise across multiple domains of 2D materials research, with particular emphasis on transition metal dichalcogenides like WS2 and WSe2. His work spans from fundamental material synthesis to device physics and practical applications in electronics and optoelectronics, reflected in publications in high-impact journals including Nature, Science, and Nature Materials. Scientific Awards: National High-level Young Talent Program (2022) Shenzhen High-level Talent Program (2021) First Prize of Science and Technology Award of China Materials Research Society (2020) Director Scholarship of Institute of Physics, Chinese Academy of Sciences (2015, 2013) Three Good Students of Chinese Academy of Sciences (2014, 2013) Dr. Chen serves as a Doctoral Supervisor with an impressive publication record of over 40 papers in top international journals, including 2 Nature, 1 Science, and 1 Nature Materials papers. His work has been cited over 4,000 times with an H-index of 29. He has secured funding through the National Natural Science Foundation of China's High-level Young Talent Program, a general program, and projects from the Shenzhen Municipal Science and Technology Innovation Commission. He actively serves as a reviewer for multiple journals and as a fund reviewer. Dr. Chen leads a research group focused on high-performance and new principle logic and sensing devices, exploring applications in next-generation information and life health technologies. The group maintains a strong academic atmosphere and welcomes postdoctoral fellows and graduate students with backgrounds in microelectronics, physics, materials science, and biology.
Niamh Nic Daeid is Professor of Forensic Science and Director of the Leverhulme Research Centre for Forensic Science (LRCFS) at the University of Dundee, leading the £15m Just Tech Institute for Innovation. She holds fellowships with the Royal Society of Edinburgh, Royal Society of Chemistry, and multiple forensic science bodies while serving on committees for INTERPOL, the International Criminal Court, and the United Nations. Her research focuses on forensic chemistry applications in prison drug analysis, explosives detection, and fire investigation. Recent work emphasizes science communication, particularly using comics to improve juror comprehension of forensic testimony. She leads major projects including Clarus (bias prevention in digital forensics) and the Smart Digital Forensic Advisor initiative. Nic Daeid's publications span forensic methodology development, from quantum dots for fingerprint detection to machine learning for footwear impression analysis. Her team's 2025 research includes prison drug studies using seized Scottish evidence and advanced cartridge case imaging techniques. European Network of Forensic Science Institutes Distinguished Forensic Scientist award (2018) Royal Society of Edinburgh Senior Medal for Public Engagement Peter Ganci Award for fire investigation services Gold Engage Watermark for Public Engagement (2019) Best Short Paper Award, International Conference on eXtended Reality (2022) She supervises 13 research students and early-career academics across forensic chemistry, digital forensics, and science communication projects. Current grants include the Leverhulme Trust's £10m LRCFS (2016-2026), UK government's Tay Cities Regional Deal funding, and Dundee City Council's VR/5G initiative. Her team maintains active collaborations with Scottish prisons, international forensic networks, and law enforcement agencies.
Chia-Jung Tsay is an Associate Professor in the Management and Human Resources Department at the Wisconsin School of Business, University of Wisconsin-Madison, and a Faculty Affiliate at the Institute for Diversity Science. Her research bridges psychological science and business, examining nonconscious biases in professional decision-making processes across music, entrepreneurship, and organizational contexts. Her distinguished educational background includes: Ph.D. in Organizational Behavior and Psychology (secondary field in Music) from Harvard University A.B. in Psychology and A.M. in History of Science from Harvard University (Phi Beta Kappa) Advanced music training at The Juilliard School and Peabody Conservatory of Johns Hopkins University Professor Tsay's research centers on decision-making biases , particularly the naturalness bias where 'naturals' are favored over 'strivers', and the dominance of visual information in evaluations. Her work demonstrates how sight overrides sound in music competitions, how visuals dominate investor decisions in pitches, and how semantic ambiguities around 'talent' affect workplace judgments. This research critically informs diversity, equity, and inclusion initiatives by exposing hidden cognitive mechanisms that undermine meritocratic systems. Her publication trajectory reveals consistent focus on bias mechanisms, evolving from foundational music perception studies (2013) to entrepreneurial funding decisions (2021) and contemporary investigations of gratitude, goal orientation, and talent semantics. The work consistently identifies systematic deviations from rational evaluation across domains, with practical implications for reducing bias in hiring, promotion, and investment decisions. Her major recognitions include: Association for Psychological Science (APS) Rising Star World’s Best 40 Under 40 Business School Professors by Poets&Quants (2021) Best Paper Award from Diversity in Management and Organizations (2023) Professor Tsay mentors graduate students in organizational behavior while leading cutting-edge research. She recently secured competitive seed funding from UW-Madison's Institute for Diversity Science (2024) for projects at the business-diversity science intersection. Her work generates significant real-world impact through frequent media engagement and advisory roles. She actively collaborates within the Management and Human Resources department and Institute for Diversity Science, contributing to interdisciplinary initiatives that translate bias research into organizational practices. Her unique background in both music performance and psychology enables distinctive approaches to understanding human judgment in professional settings.
Erica Goldberg is a Professor of Law at Gonzaga University School of Law, where she teaches Torts, Constitutional Law, Criminal Procedure, Civil Procedure, and a seminar on the current Supreme Court term. She has previously held faculty positions at the University of Dayton School of Law, Ohio Northern University Law School, Harvard Law School (as a Climenko Fellow and Lecturer on Law), and Penn State Law School (as a Visiting Assistant Professor). Her research focuses on the intersection of tort law and First Amendment rights, with an emphasis on harmonizing civil duties and civil liberties in a non-partisan manner. Key areas include free speech doctrine, constitutional law, and legal ethics. Her work has been published in leading journals such as the Columbia Law Review , Cardozo Law Review , and Michigan Law Review First Impressions . Professor Goldberg's recent publications (2023–2012) reflect a sustained scholarly engagement with First Amendment theory, free speech values in education, consequentialism in speech jurisprudence, and doctrinal tensions in constitutional law. Her work often analyzes judicial reasoning, speech pathologies, and the balance between individual rights and societal duties. She blogs at In a Crowded Theater , with her commentary featured in The Washington Post and CNN.com . She has no listed scientific awards. Erica Goldberg advises no students listed in the text and has not received any grants explicitly mentioned. Her academic journey includes a J.D. from Stanford Law School, a clerkship with Judge Ronald L. Gilman (Sixth Circuit), appellate litigation experience at Latham & Watkins LLP, and a legal fellowship at the Foundation for Individual Rights in Education. She has contributed to briefs before the Supreme Court and multiple courts of appeals. She is not affiliated with any specific research lab or team as described in the text.
