Dr. Douglas Lobner is a Research Professor in the Department of Biomedical Sciences at Marquette University, College of Health Sciences. His research focuses on neurodegenerative disease mechanisms, environmental toxin interactions, and dental material toxicity. He investigates how environmental factors like mercury, pesticides, and BMAA interact with genetic predispositions to cause neurodegenerative diseases such as Alzheimer’s, Parkinson’s, and ALS, particularly through the cystine/glutamate transporter (system xc-). His work also explores dental pulp capping materials, emphasizing growth factor-enhanced repair mechanisms and system xc- regulation to prevent root canal procedures. Key collaborations involve studies on glutamate signaling, neurotoxicant synergy, and drug-induced neuroplasticity. Published research includes over 14 studies from 2009–2014, emphasizing system xc- regulation by growth factors, neurotoxin synergies (e.g., methylmercury and BMAA), and dental material toxicity mitigation strategies. His lab contributes to the Neuroscience Collaboratory and Integrative Neuroscience Research Center at Marquette.
Joseph Frey is an Assistant Professor in the Department of Social Work at the University of North Texas. His research focuses on stigma-related issues affecting marginalized populations, including LGBTQ+ communities and families involved in social service systems. He examines intersections between mental health, criminal justice policies, and child welfare, with a particular emphasis on adverse childhood experiences (ACEs) and parenting support mechanisms. His work utilizes both quantitative and qualitative methods to address systemic barriers in service provision. Key themes include the impact of regional cultural attitudes on sexual identity stigma in the American South, the role of probation officer networks in connecting individuals with mental health resources, and strategies to enhance parental self-efficacy in under-resourced communities. Dr. Frey has published extensively on topics such as Head Start program effectiveness, latent class analysis of ACEs, and peer support interventions for fathers. His scholarship bridges academic research with practical applications in social work practice and policy development.
Dr. Chutima Boonthum-Denecke is a Professor in the Department of Computer Science at Hampton University's School of Science. She joined Hampton University in 2006 as an Assistant Professor and now serves as Director of the Information Assurance and Cyber Security Center (IAC@HU). She leads the NSF CyberCorps Scholarship for Service program and has contributed to NSF initiatives like ARTSI and STARS Alliances. Her educational background includes a Ph.D. in Computer Science from Old Dominion University (2007), an MS in Applied Computer Science from Illinois State University (2000), and a BS in Computer Science from Srinakharinwirot University (1997). Dr. Boonthum-Denecke's research integrates artificial intelligence, natural language processing, and cybersecurity. Key interests include: Developing intelligent tutoring systems and educational games Secure coding practices for software engineering NLP applications in information retrieval and assessment tools Cyber-physical security for IoT and robotics Her recent publications (2016-2021) focus on machine learning applications in cybersecurity, including sentiment analysis for threat detection, blockchain-enhanced IoT security, and vulnerability assessments of emerging technologies. Collaborative work with students frequently addresses privacy ethics in AI assistants, RFID implants, and cloud systems. She mentors students through the IAC@HU lab, resulting in award-winning conference presentations on cybersecurity topics. As Principal Investigator of NSF CyberCorps, she oversees scholarship programs that bridge academic research with national security needs.
Mustafa A. Mustafa is a Senior Lecturer (Associate Professor) in the Department of Computer Science at The University of Manchester, where he leads the Trusted Digital Systems Cluster as part of the university-wide Centre for Digital Trust and Society. His academic journey spans prestigious institutions including The University of Manchester, where he completed his PhD, and KU Leuven in Belgium, where he served as a post-doctoral research fellow. Dr. Mustafa earned his educational qualifications through an impressive academic path: a B.Sc. in communications from the Technical University of Varna, Bulgaria (2007), an M.Sc. in communications and signal processing from Newcastle University, UK (2010), and a Ph.D. in computer science from The University of Manchester, UK (2015). His doctoral research focused on "Smart Grid Security: Protecting Users' Privacy in Smart Grid Applications," laying the foundation for his subsequent research career. Dr. Mustafa's research expertise centers on information security, data privacy, and applied cryptography with particular focus on smart grid systems, smart city applications, e-health, and IoT. His work addresses critical challenges in securing peer-to-peer electricity trading markets, smart metering infrastructure, electric vehicle charging systems, and health data management. He has developed innovative solutions for keyless car sharing systems, frictionless authentication mechanisms, and privacy-preserving protocols for data collection and distribution. His scholarly contributions demonstrate a consistent trajectory toward increasingly sophisticated privacy-preserving techniques applied across multiple domains. Recent work shows a growing integration of artificial intelligence and machine learning approaches with traditional cryptographic methods, particularly in federated learning systems and large language model verification. His research bridges theoretical cryptography with practical implementations in energy systems and healthcare applications. Dr. Mustafa's scientific achievements have been recognized with several prestigious awards: Winner of the Student Video Competition at IEEE SmartGridComm 2017 for "Secure and Privacy-friendly Local Electricity Trading" Best Paper Award at SECURWARE 2017 Distinguished Achievement Award as Postgraduate Research Student of the Year nominee by the School of Computer Science of The University of Manchester (2015) Dame Kathleen Ollerenshaw Research Fellowship (2018-2023) As an academic supervisor, Dr. Mustafa has mentored numerous graduate students through their PhD and Master's research, with a particular focus on privacy and security challenges in emerging technologies. His current supervision portfolio includes research on privacy-friendly multi-agent systems for smart grids, security for IoT in e-health, vulnerability detection in IoT cryptography, and bot detection systems. He has secured significant research funding through multiple competitive grants including EnnCore: End-to-End Conceptual Guarding of Neural Architectures (EPSRC, 2020-2024), SCorCH: Secure Code for Capability Hardware (EPSRC, 2019-2023), and SNIPPET: Secure and Privacy-friendly Peer-to-peer Electricity Trading (FWO-SBO project, 2019-2023). Dr. Mustafa leads the Trusted Digital Systems Cluster within the Centre for Digital Trust and Society at The University of Manchester. His research group comprises PhD students, postdoctoral researchers, and collaborators working on cutting-edge security and privacy solutions. The team maintains strong international collaborations, particularly with KU Leuven in Belgium, and contributes to standards development as evidenced by Dr. Mustafa's role as an expert in the IEC/SYC/WG 3 "IEC Smart Energy Roadmap."
Professor Ravi Shukla is a faculty member at RMIT University's School of Science, holding the title of Professor and Deputy Head of Department (Research). He specializes in Nanobiotechnology, with research spanning biomaterials, drug delivery systems, and medical diagnostics. His work integrates biosciences, materials science, and food technology to advance understanding of nanomaterial-biomolecular interactions. Academic History: Professor Shukla has held roles at RMIT since 2011, progressing from Research Fellow to his current professorship. He also serves as an Adjunct Professor at the University of Missouri and Theme Leader for Nanobiotechnology at RMIT’s Center for Advanced Materials and Industrial Chemistry. His teaching focuses on fostering student belonging and innovation in biotechnology education, including coordinating RMIT’s undergraduate Biotechnology program. Research Interests: His lab explores hybrid biomaterial synthesis, nano-enabled proteomics, and non-viral gene therapy using MOFs. Recent work emphasizes applications in diabetes biosensing, CRISPR/Cas9 delivery, and antimicrobial resistance mitigation through nanostrategies. Over 130+ publications and substantial research funding highlight his interdisciplinary impact. Professional Engagement: Editor roles in Frontiers in Bioengineering and Biotechnology , Co-Editor-in-Chief of Current Research in Nutrition and Food Science , and advisor to the Australasian Association of Ayurveda underscore his leadership. He actively mentors students in projects like nano-antimicrobial wound healing and aptamer-based hepatitis A detection. Key Achievements: Pioneered nucleic acid-encapsulated MOFs for cancer therapy and developed paper-based biosensors for rapid diagnostics. His work aligns with UN Sustainable Development Goals 2 (Zero Hunger) and 3 (Good Health).
Lei Lei is an Associate Professor at the University of Guelph, specializing in Computer Engineering. Her research focuses on Machine Learning/Deep Reinforcement Learning, Internet of Things (IoT)/Internet of Vehicles (IoV), Mobile Edge Computing, and Smart Grid Optimization. She explores cutting-edge applications in energy-efficient systems, autonomous vehicles, and intelligent transportation networks. Her work integrates advanced AI techniques with real-world challenges in communication and control systems. Key research areas include optimizing electric vehicle charging schedules using hierarchical deep reinforcement learning and enhancing vehicular networks through 6G communication protocols. She has pioneered methods for joint communication-control systems, securing federated learning models, and developing robust resource allocation strategies in IoT and edge computing environments. Lei Lei’s publications emphasize interdisciplinary solutions, bridging computer science, electrical engineering, and transportation systems. Her recent work addresses challenges in smart grid security, multitimescale control systems, and the application of AI tools like ChatGPT in connected vehicles. She is affiliated with the AI Affiliated Faculty at the University of Guelph, reflecting her contributions to artificial intelligence research.
James J. Duane is a Professor at Regent Law School , part of Regent University. He has held visiting roles as Distinguished Visiting Professor at William and Mary Law School and served as a faculty associate at Harvard University’s Berkman Center for Internet and Society. His expertise spans Evidence Law, Civil Procedure, Trial Practice, and Appellate Advocacy, with over 30 scholarly articles and co-authorship of Weissenberger’s Federal Evidence . He has been recognized with multiple teaching and scholarship awards, including the Regent Faculty Excellence Awards and the Distinguished Faculty Achievement Award from Virginia’s Higher Education Council. Duane holds a J.D. cum laude from Harvard Law School and an A.B. magna cum laude from Harvard College, where he was elected to Phi Beta Kappa. His research focuses on evidentiary rules, procedural law, and legal advocacy. He has lectured nationally on topics such as hearsay exceptions, jury instructions, and constitutional rights, and has testified before the U.S. Judicial Conference’s Advisory Committee on Evidence Rules. His public advocacy includes a widely viewed YouTube talk advising against police interrogations for innocent suspects. Duane is also a contributing editor to Black’s Law Dictionary and teaches at the National Trial Advocacy College and National Litigation Academy. Key professional milestones include serving as trial counsel in Schenck v. Pro-Choice Network (1997 Supreme Court case) and clerking for federal judges. He is admitted to practice in New York and Virginia, and maintains active roles in legal associations like the Virginia Bar Association. His awards reflect sustained excellence in teaching, scholarship, and contributions to legal education.
Markus Friedrich is a Professor in the Department of Biological Sciences at Wayne State University, affiliated with the College of Liberal Arts and Sciences. His research focuses on insect development, gene family evolution, and arthropod visual systems, with a particular interest in cave-adapted species. He has held roles including Editor-in-Chief of the Molecular Biology and Genomics Section for the journal Insects and advised on the Australian Research Council project DP230100731 (2023-2024). Education: PhD in Zoology from Ludwig-Maximilians-Universität München (1995), postdoctoral training at Caltech (1996–1999). His research interests span comparative genomics, evolutionary developmental biology, and the genetic basis of sensory adaptations. Notable work includes studies on opsin gene evolution, cave animal adaptations, and the genomic basis of arthropod diversification. Recent publications highlight discoveries in harvestmen relict eyes, horseshoe crab Pax6 homologs, and cave beetle sleep behavior. Teaching includes courses like BIO4220 Biological Dimensions of Evolutionary Psychology and BIO1500 Basic Life Diversity . He has supervised numerous students and volunteers, fostering a dynamic research lab environment. His work integrates genomic, developmental, and evolutionary approaches to unravel mechanisms of trait evolution in insects. Grants/Awards: Australian Research Council funding, editorial leadership in entomology journals. Labs/Teams: The Friedrich Lab focuses on evolutionary genetics, with projects involving Tribolium beetles, cave organisms, and comparative genomics.
Trine Mygind Korsby is an Assistant Professor at the Department of Anthropology, University of Copenhagen, Faculty of Social Sciences. Her research is centered on the anthropology of transnational crime, with a focus on human trafficking, sex work, pimping, and criminal livelihoods. She conducts long-term ethnographic fieldwork in Romania, Italy, Portugal, and Denmark. Her primary research interests include: Anthropology of the body, desire, and labor Morality, perpetration, and ethnographic unease Skills and social relationships in criminal economies Collaborative concept-work and experimental research methods Her recent publications (2023–2025) reflect a deep engagement with the lived realities of traffickers and victims, the ambiguities of fieldwork in criminal settings, and the moral complexities of perpetration. Themes such as agency, visibility, time, and freedom recur across her work, particularly in urban and transnational contexts. She has received significant recognition, including: Marie Skłodowska-Curie Global Fellowship (2022) Elite Research Travel Grant from the Danish Ministry of Higher Education and Science (2013) Individual Postdoc Grant from the Independent Research Fund Denmark (2015) Korsby is affiliated with the Centre for Global Criminology and was a visiting scholar at UC Berkeley (2013) and a postdoc at Stanford University (2016–2018). In 2023–2024, she was selected for the UCPH Forward program for research leadership. Her current project, TRAFFICKER, explores the social relationships of convicted human traffickers and their integration of legal and illegal work, with a research stay at CUNY Graduate Center (2024–2025). She has co-edited a special issue on transnational street economies in Migration & Society (2023) and has contributed to public discourse through media appearances and articles challenging simplistic narratives about traffickers and victims.
Bruce Grohsgal serves as the Helen S. Balick Professor in Business Bankruptcy Law at Widener University Delaware Law School, where he joined the faculty in July 2014 after over 30 years of legal practice. His primary academic affiliation is with Widener University's Law School, where he teaches Bankruptcy, Contracts I and II, Secured Transactions, International Bankruptcy, and Financial Regulation. Prior to academia, he practiced at Pachulski Stang Ziehl & Jones, LLP in Wilmington, Delaware, representing major entities in high-profile bankruptcy cases including Solyndra, Global Home Products, and Trans World Airlines. Professor Grohsgal's research focuses on bankruptcy law with particular expertise in business restructuring, student loan dischargeability, and financial institution insolvency. His work critically examines the absolute priority rule, structured dismissals, and the legislative history behind student loan nondischargeability. He has extensively analyzed how bankruptcy courts handle debtor-creditor agreements, lease rejections, and the recharacterization of debt claims as equity. His scholarship consistently bridges theoretical legal analysis with practical restructuring challenges faced by practitioners. As Editor-in-Chief of the Norton Journal of Bankruptcy Law and Practice and the Norton Annual Survey of Bankruptcy Law, Grohsgal significantly influences bankruptcy scholarship. His recent publications (2020-2023) demonstrate a concentrated focus on student loan bankruptcy discharge mechanisms, evolving interpretations of the absolute priority rule, and procedural innovations in Chapter 11 cases. The articles reveal growing scholarly attention to consumer bankruptcy issues within traditionally corporate-focused bankruptcy scholarship. Professor Grohsgal actively engages with policy development through congressional testimony, including written submissions for H.R. 1667 (Financial Institution Bankruptcy Act of 2017). He directs the Institute of Delaware Corporate and Business Law and previously chaired the Delaware State Bar Association's Bankruptcy Section. His practical experience informs his academic work, particularly regarding first-day motions, asset sales in bankruptcy, and derivatives treatment in insolvency proceedings.
Dr. Yuki Miura serves as Assistant Professor at New York University's Tandon School of Engineering in the Department of Mechanical and Aerospace Engineering and Center for Urban Science and Progress (CUSP), with additional affiliations at NYU Stern's Volatility and Risk Institute and the New York City Panel on Climate Change (NPCC5). Her academic credentials include a Ph.D. (2022), M.Phil. (2021), and M.S. (2017) in Civil Engineering and Engineering Mechanics from Columbia University, complemented by a B.Eng. in System Design Engineering from Keio University (2015). Dr. Miura's research integrates engineering, climate science, finance, and social sciences to develop actionable resilience solutions. Her work focuses on climate risk quantification , urban adaptation strategies , and socioeconomic impact modeling through advanced data analytics. She pioneers methodologies that couple physical climate modeling with socioeconomic vulnerability assessments to deliver implementable risk mitigation frameworks for public and private institutions. Her publication portfolio demonstrates consistent advancement in climate risk analytics, with recent work addressing urban flooding dynamics, precipitation extremes, and infrastructure protection. These studies reveal a distinct trajectory toward integrated risk modeling that bridges climate physics with financial and social dimensions, increasingly leveraging AI-driven approaches for compound hazard assessment. Recognition for her contributions includes the Mindlin Scholar award from Columbia University (2022), with research featured in The New York Times , The New Yorker , and The Nikkei . As director of the Climate, Energy, and Risk Analytics Lab (CERA), Dr. Miura mentors graduate students in developing data-driven solutions for climate resilience. Her industry experience at Morgan Stanley (2021-2024) in climate risk management directly informs her applied research approach, fostering strong connections between academic innovation and real-world implementation. CERA operates as an interdisciplinary hub developing AI-driven methodologies for urban flood modeling, compound climate risk assessment, and socioeconomic impact analysis. The lab maintains active collaborations with the National Center for Atmospheric Research and New York City/State governments to translate research into actionable climate adaptation policies.
Eleanor Seaton is a Professor in the Department of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. With ancestral roots in the Mississippi Delta and a background rooted in Chicago's Southside, Dr. Seaton’s research explores the intersection of racism, mental health, and developmental outcomes among Black American youth. Education: BA in Psychology (University of Illinois at Urbana-Champaign), MA in Social-Organizational Psychology (Teachers College, Columbia University), Ph.D. in Developmental Psychology (Temple University) Postdoctoral Training: Program for Research on Black Americans at the University of Michigan Her interdisciplinary work integrates developmental psychology, social psychology, public health, and Black feminist theories, employing quantitative, qualitative, and mixed-method approaches. She also investigates how racism-related experiences contribute to systemic societal disparities. Dr. Seaton previously co-hosted the television segment Break it Down on AZ PBS, discussing racism’s societal impact. In her personal time, she enjoys journaling, travel, baking, shopping, reading, movies, and dancing to Chicago-style house music.
Dr. Emre Alp is an Associate Professor at the Environmental Engineering Department of Middle East Technical University (METU) , where he has served since 2014. Previously, he held roles as Assistant Professor (2011-2014), Instructor (2008-2011), and Part-time Instructor (2008). His research spans Watershed Management , Water-Energy-Food Nexus , and Environmental Economics , with a focus on Diffuse Pollution and Water Quality Modeling using GIS and Remote Sensing . Education : Ph.D. in Civil and Environmental Engineering (2006), M.S. in Environmental Engineering (1999), and B.S. in Environmental Engineering (1997) from METU and Marquette University. Research : His work integrates Environmental Risk Assessment with optimization models like SWAT for nutrient load analysis, economic valuation of ecosystems, and urban waterway pollution control. Key projects include Sustainable Stormwater Management on METU campus and Water-Energy Nexus studies in Turkey. Publications : Over 14 refereed journal articles since 2007, focusing on Urban Hydrology , Environmental Economics , and Watershed Modeling . Awards : Post-Doctoral Scholarship (Marquette University, 2006-2008) and Research/Teaching Assistantships (Marquette, 2000-2006). Students : Supervised 2 Ph.D. and 7 M.S. theses on topics like climate change impacts, water allocation, and pollution control.
Bonnie Berger is the Simons Professor of Mathematics at the Massachusetts Institute of Technology and head of the Computation and Biology group at MIT's Computer Science and AI Lab. She holds additional appointments as an Associate Member of the Broad Institute, Faculty member of Harvard/MIT Health Science & Technology, and Affiliated Faculty of Harvard Medical School. Her career has been dedicated to pioneering computational approaches in molecular biology, where she has been instrumental in defining the field. Professor Berger's research focuses on designing algorithms to extract biological insights from large-scale data sets. Her work spans Compressive Genomics, Network Inference, Structural Bioinformatics, Genomic Privacy, and Medical Genomics. She actively collaborates with experimental biologists to maximize the power of computation for biological discovery, developing methods that address the challenges of modern high-throughput biological data. Her recent publications demonstrate a strong trend toward integrating machine learning with structural biology and genomic privacy. The articles show increasing sophistication in using deep learning for protein structure prediction, developing privacy-preserving techniques for genomic data sharing, and creating efficient algorithms for massive biological data sets. Her work bridges theoretical computer science with practical biological applications. Professor Berger's scientific recognition includes: Election to the National Academy of Sciences (2021) ISCB Accomplishments by a Senior Scientist Award SIAM Sonya Kovalevsky Lecture Prize Fellowships in ACM, ISCB, AMS, and other prestigious societies Multiple RECOMB Test of Time Awards NIH Margaret Pittman Director's Award She has mentored numerous students who have gone on to make significant contributions in computational biology, including Ellen Zhong, Yun William Yu, and Hyunghoon Cho. Her lab receives substantial research funding supporting projects in genomic privacy, structural bioinformatics, and compressive algorithms for biological data. Professor Berger serves on the Executive Editorial Board of the Journal of Computational Biology and multiple other editorial boards. The Computation and Biology group at MIT CSAIL, which she leads, is at the forefront of developing computational methods for biological discovery. The group combines expertise in algorithms, machine learning, and biology to tackle fundamental challenges in genomics and structural biology. They are currently organizing the Machine Learning in Structural Biology workshop at NeurIPS 2025, highlighting their leadership in this rapidly evolving interdisciplinary field.
Golnoosh Farnadi is an Associate Professor at the Department of Computer Science and Operational Research at the University of Montreal and an Assistant Professor at the School of Computer Science at McGill University. She holds a Canada-CIFAR Chair in Artificial Intelligence and serves as a Senior Academic Member at Mila - Quebec Institute for Artificial Intelligence. Her interdisciplinary work bridges computer science, operations research, and ethical AI considerations. Her educational background includes a Ph.D. in Computer Science from KU Leuven and Ghent University (2017), followed by postdoctoral positions at the University of Montreal/MILA (2018-2020) and the University of California, Santa Cruz (2017-2018). Her research focuses on algorithmic fairness, responsible AI, deep learning, and probabilistic models, with applications spanning healthcare, recommender systems, and public policy. Farnadi's recent publications demonstrate a strong emphasis on addressing fairness in machine learning systems, with particular attention to cultural diversity in recommender systems, fairness in healthcare optimization (particularly kidney exchange programs), and mitigating hallucinations in large language models. Her work consistently combines theoretical rigor with practical applications, often employing novel mathematical frameworks to tackle complex ethical challenges in AI. Among her notable recognitions are the Google Scholar Award (2021), Facebook Research Award (2021), Google Award for Inclusion Research (2023), and being named one of the 100 Brilliant Women in AI Ethics (2023). She was also recognized as a Rising Star in AI Ethics in 2021. Farnadi supervises numerous graduate students through her EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms), which focuses on developing AI systems that promote fairness and equity. Her teaching includes courses on Responsible AI, Machine Learning, and Trustworthy Machine Learning at both McGill University and HEC Montreal.
