Mohammad T. Alhawary is Professor of Arabic Linguistics and Second Language Acquisition at the University of Michigan's Middle East Studies department within the College of Literature, Science, and the Arts. He serves as Director of both the MA Program in Arabic for Professional Purposes (APP) and the MA Program in Teaching Arabic as a Foreign Language (TAFL). His educational background includes a Ph.D. from Georgetown University (1999). Prior to joining the University of Michigan, he contributed to developing Arabic and Middle Eastern Studies programs at various US institutions. Professor Alhawary's research spans both theoretical and applied Arabic linguistics, with particular focus on second language acquisition processes. His work examines how factors like age, input quality, output practice, and first language transfer affect Arabic language learning. He has made significant contributions to understanding Arabic language pedagogy, curriculum design, proficiency testing, and the application of technology in language learning. His research also extends to bilingualism, multilingualism, language impairment, and Arabic medieval grammatical traditions. His publications reflect a strong trajectory in Arabic linguistics research, with recent works focusing on practical language teaching applications, reading comprehension mechanisms, code-switching patterns in digital communication, and multilingual acquisition processes. The 2023 publication 'Teaching Arabic as a Foreign Language' represents his latest contribution to language pedagogy methodology. 2019 AATA Book Award for 'Arabic Second Language Learning and Effects of Input, Transfer, and Typology' As an academic leader, Professor Alhawary serves as Executive Director of the American Association of Teachers of Arabic and edits both the Journal of Arabic Linguistics Tradition and Al-'Arabiyya journal. He continues to develop empirical research on Arabic second language acquisition to inform teaching practices both in America and globally.
Westley Weimer is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Michigan, College of Engineering. He teaches advanced courses such as EECS 590 (Advanced Programming Languages) and EECS 481 (Software Engineering), and has previously taught at the University of Virginia. His research integrates software engineering, programming languages, and cognitive science, focusing on automated program repair, program analysis, and the neuroscience of code comprehension. University: University of Michigan School: College of Engineering Department: Department of Electrical Engineering and Computer Science Academic Rank: Professor His research interests include automated program repair (e.g., GenProg), software quality, cognitive modeling of programming, neuroimaging studies of code review, and the application of medical imaging to software engineering. He explores deep questions at the intersection of consciousness, time, and computation, advocating for interdisciplinary approaches to understanding the mind through programming behavior. The most recent publications reflect a trend toward empirical and cognitive studies in software engineering, combining automated repair with human factors, neuroimaging (fMRI, TMS), and real-world software challenges. Themes include bias in code review, programming under cognitive influences, and the neurological basis of code comprehension. His work increasingly bridges computer science with psychology, neuroscience, and social science. Scientific awards include multiple Distinguished Paper Awards at ICSE, FSE, and ESEC/FSE, Best Paper and Runner-up awards, and several 10-Year Most Influential Paper Awards from ASE, GECCO, POPL, and ASPLOS, recognizing the lasting impact of his contributions to automated software repair and program analysis. He has advised numerous PhD and Master’s students, many of whom have gone on to faculty positions or industry research roles. He contributes to academic service through organizing diversity and inclusion initiatives, maintaining graduate career resources, and promoting ethical and inclusive practices in computing. He leads a vibrant research group focused on improving software quality through both technical and human-centered innovations, with ongoing projects in automated repair, cognitive modeling, and secure systems.
Sophie Oldfield is Professor and Chair of the Department of City and Regional Planning at Cornell University's College of Architecture, Art, and Planning. She is internationally recognized for her research on cities in the Global South, with a particular focus on African urbanism, informality, governance, and collaborative planning. She previously held a joint professorship at the University of Cape Town and the University of Basel from 2016 to 2021. Ph.D., Geography, University of Minnesota M.A., Geography, Syracuse University Her research interests center on urban studies in the Global South , especially African cities, where she investigates informality, housing struggles, participatory planning, and the epistemologies of urban knowledge production . She is deeply committed to collaborative and community-engaged research, challenging traditional academic boundaries between the university and community. Her work emphasizes fieldwork, theory, and practice, and explores how urban governance shapes everyday life in marginalized settlements. Her recent publications reflect a strong trend toward co-produced knowledge, feminist urban praxis, and critical urban theory from southern perspectives . She frequently examines how urban theory can be reimagined through partnerships with communities, activists, and practitioners. Her scholarship spans interdisciplinary areas including geography, planning, urban studies, and social policy. Society of South African Geographers Fellowship (2020) Distinguished African Scholar, Cornell University (2018) British Academy Newton Advanced Fellow (2015–2018) University of Cape Town Social Responsiveness Award (2014) Mandela Mellon Fellow, Harvard University (2010) She has supervised and collaborated with numerous students, particularly through participatory research projects such as Building Bit-by-Bit , which involved master’s students from the University of Cape Town and the University of Basel. She has secured significant research funding through fellowships and institutional support. Her work is closely tied to initiatives like the African Centre for Cities and the Critical Urbanisms program at the University of Basel . She continues to be an active voice in rethinking urban scholarship through collaboration, equity, and southern epistemologies.
Professor Jun Zhang is a leading academic in cybersecurity at Swinburne University, Australia, where he directs the Cybersecurity Lab. He has been honored as Australia's top cybersecurity researcher and instrumental in establishing Swinburne as a globally recognized cybersecurity research institution. His work includes high-impact papers and multi-million-dollar R&D projects, culminating in awards like the 2021 'Top Cybersecurity Research Institution' accolade. As course director of the Bachelor of Cyber Security, he pioneered an industry-driven teaching model with Deloitte and CSIRO, significantly boosting course enrollment. His collaborations extend to Adobe's Curriculum Innovation Program and the Australian P-TECH initiative, promoting STEM education and cybersecurity awareness. He supervises doctoral candidates and leads grants focused on AI-driven cybersecurity, smart home security, and blockchain-based edge computing. His research spans vulnerability detection, GAN forensics, IoT security, and privacy preservation in OSNs. Research interests include cybersecurity fundamentals, data science applications, and distributed systems. Notable achievements include the PTFix framework for Java vulnerabilities, the IoTFuzz smart home testing system, and CTI mining methodologies. Awards reflect his mid-career research excellence and industry partnerships. His grants with CSIRO and defense organizations emphasize real-world impact, addressing challenges from malware detection to adversarial machine learning. The Cybersecurity Lab and collaborative projects like Artchain demonstrate his commitment to bridging academia and industry. Professional activities include supervising over 20 HDR students and securing grants totaling millions. His work on blockchain-based edge storage (CSEdge) and SDCCP congestion control highlights innovation in networking. Future directions include advancing AI for design collaboration with CSIRO and enhancing privacy in smart energy technologies. His contributions span technical, educational, and community outreach domains, positioning him as a pivotal figure in cybersecurity's evolution.
Kisha Porcher is an Associate Professor in the Department of English at the University of Delaware, specializing in English Education. She serves as the Student Teaching Coordinator and holds a Ph.D. in Teaching and Teacher Education from George Mason University, alongside degrees from Spelman College and Teachers College Columbia University. B.A., English and Secondary Education, Spelman College M.A., Curriculum and Instruction, Teachers College Columbia University Ph.D., Teaching and Teacher Education, George Mason University Her research focuses on centering Blackness through frameworks like the Black Gaze and archeology of the self (Sealey-Ruiz, 2019), emphasizing racial identity development and community-engaged learning. She explores systemic assets for Black and Brown students while advocating for anti-racist pedagogies in urban education settings. Her recent publications highlight trends in critical literacy instruction , decolonizing curricula , and equity-driven teacher training , with a strong emphasis on racial justice and linguistic diversity. Notably, she received the College of Arts & Sciences Faculty Teaching Excellence Award in 2022. Porcher’s work bridges teacher self-reflection and structural reform , positioning educators as disruptors of systemic inequities. Her scholarship spans topics from cultural competency to community-embedded pedagogies, reflecting her commitment to redistributing power in educational systems.
Mehmet Esat Belviranli is an Assistant Professor in the Computer Science Department at the Colorado School of Mines, where he directs the High Performance Systems and Software Lab (HyperSys). His research focuses on increasing resource utilization in heterogeneous architectures through runtime systems, scheduling algorithms, and performance modeling, with publications in top venues including MICRO, PPoPP, and SC. Education: Ph.D. in Computer Science, University of California, Riverside (2016) M.S. in Computer Science, Bilkent University (2009) B.S. in Computer Science, Bilkent University (2006) Belviranli's research spans heterogeneous architectures, runtime systems, performance modeling, parallel programming, autonomous computing, deep learning acceleration, cyber-physical systems, and edge-cloud platforms. His work develops analytical models and programming abstractions to address resource management, scheduling, and security challenges in diversely heterogeneous systems, with applications in edge computing, autonomous systems, and machine learning acceleration. Recent projects emphasize real-world constraints and security implications. His publication trends reveal increasing focus on edge-cloud resource management (e.g., HARNESS), security vulnerabilities in heterogeneous systems (e.g., MC3), and deep learning acceleration under resource constraints. Key themes include memory contention modeling, scheduling for cyber-physical systems, and concurrent DNN execution, reflecting a shift toward practical deployment in security-sensitive edge environments. Scientific Awards: U.S. Air Force Research Lab Summer Faculty Fellowship Award (2022) U.S. Air Force Research Lab Summer Faculty Fellowship Award (2021) Oak Ridge National Laboratory Significant Event Award (2019) Best Paper Finalist, IEEE HPEC 2018 Outstanding Paper Award, DATE 2024 Belviranli mentors Ph.D. students Ismet Dagli (MLCommons Rising Star 2024, CGO'24 SRC finalist) and Justin Davis (DATE'24 Outstanding Paper Award winner). He has secured $2M+ in funding from NSF, DoE, and SRC, including an NSF-SaTC grant on mobile security (2024), a DoE grant on superconductive systems (2023), and an NSF FuSe grant on graphene nanoribbons (2023), often leading multi-institutional teams from Rochester, Virginia, Arizona, and Minnesota. The HyperSys Lab develops ecosystems for high-performance heterogeneous systems, with recent projects including HARNESS for edge-cloud resource management and MC3 for mobile SoC security. The lab has received equipment donations from Google Coral.ai and Xilinx, and collaborates with national labs on security challenges and next-generation semiconductor technologies.
Dr Anandadeep Mandal is an Associate Professor in Finance and the Scotcoin Distinguished Chair of Digital Finance at the University of Birmingham , within the Birmingham Business School and the Department of Finance . He is the founding director of the MSc Financial Technology programme and the Programme Director for the MBA (Distance Learning), demonstrating significant leadership in academic program development. Education: PhD in Probability Distribution Fitting, Cranfield University (2016) MRes in Management Science, Cranfield University (2012) MSc in Finance and Investments, Durham University (2008) Bachelor’s in Electronics Engineering Research Interests: Dr Mandal’s interdisciplinary research lies at the intersection of mathematical modelling, artificial intelligence, finance, and digital innovation . His work focuses on AI-enabled investment strategies , blockchain for financial transparency , ESG performance measurement , and the development of the Sustainable Efficiency Index (SEI) . He also pioneers AI applications in digital education , including a patent-pending platform for automated grading of multi-modal student submissions using ensemble AI methods. Publication Trends: His recent scholarly output spans high-impact journals and conferences, reflecting a strong focus on digital finance , climate and social media analytics , cryptocurrency regulation , and AI in financial forecasting . His work combines advanced data science techniques with real-world policy and financial applications, particularly in sustainability and public health. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Dr Mandal has secured over £2 million in research funding from sources including UKRI, UoB QR Funding, and industry partners. While specific students are not listed, his role as programme director and research leader suggests active mentorship. His research has direct policy impact through collaborations with the NHS Trusts , NIHR , and the UK Government . Labs, Teams, and Impact: Dr Mandal leads a research agenda that bridges academia and public policy. His work extends beyond the university through public engagement at science festivals, outreach for young learners, and expert contributions to UK Parliamentary consultations on AI, sustainability, and financial innovation. He is a key figure in advancing digital finance education and research at the University of Birmingham.
Molly Greene is a Professor of History and Hellenic Studies at Princeton University. Her work focuses on the Ottoman Empire and the Mediterranean world, with expertise in early modern Christian-Muslim interactions, maritime history, and colonial dynamics. She served on the Executive Committee of the Program in Hellenic Studies from 2011 to 2022. Her research bridges Ottoman administrative systems, ethnic communities, and religious coexistence. Affiliations: Princeton University (current), Center for Hellenic Studies (past committee role) Her research explores themes such as Ottoman governance mechanisms, the role of piracy in Mediterranean trade, and socio-economic relationships between Christian and Muslim populations. Recent work emphasizes the agency of non-state actors and marginalized groups in shaping imperial structures. Greene’s publications include seminal works like A Shared World (2002) and Catholic Pirates and Greek Merchants (2010), which reframe understandings of religious and economic networks in early modern Europe. She has also published in Greek, reflecting her deep engagement with Hellenic cultural history. Teaching: Courses on the Mediterranean’s historical trajectory, Ottoman Empire studies, and early modern global connections. She advises students on topics spanning Ottoman social history, Mediterranean maritime networks, and interfaith historiography. Her research has been supported by grants from the National Endowment for the Humanities and the Andrew W. Mellon Foundation. Greene’s interdisciplinary approach integrates archival research from multiple languages and regions, emphasizing the Mediterranean as a cohesive yet diverse space. She is a leading voice in redefining narratives of early modern empire and cross-cultural interaction.
Dr. Nemanja Stanišić is a Full Professor at Singidunum University's Faculty of Business, with a distinguished academic career spanning over 15 years. He holds a Ph.D. in Corporate Finance from Singidunum University (2010), an MBA in Finance from Lincoln University (2007), and a Bachelor's in Accounting from the University of Belgrade (2005). His expertise focuses on Corporate Finance, Banking, Audit, and Applied Statistical Analysis. His research integrates quantitative methods with economic theory, addressing topics such as audit opinion prediction using AI, tourism destination competitiveness, financial distress dynamics, and air pollution health impacts. He co-authored textbooks including Contemporary Exchange and E-business (2010) and Financial Statement Analysis (2024), and served as Editor-in-Chief of The European Journal of Applied Economics . He teaches courses from Financial Accounting to Advanced Financial Engineering at undergraduate, master's, and Ph.D. levels. The 15 most recent publications highlight his interdisciplinary approach: 7 in Finance/Audit, 5 in Tourism/Hospitality, and 3 in Environmental Health. Key trends include applying machine learning to audit quality (2023), multilevel modeling for hospitality satisfaction (2015-2019), and air pollution mortality analysis (2016). His work appears in high-impact journals like Tourism Management (IF 10.125) and Environmental Health (IF 4.986). He held administrative roles including Rector (2020-2021) and Vice President of Singidunum University. He served as Vice Dean for Student Affairs (2010-2011) and participated in TEMPUS projects for educational reform. He mentors graduate students extensively, advising 100+ bachelor's, 57 master's, and 4 doctoral theses, including international candidates. His visiting professorship at Bangkok's ICO NIDA and teaching in Austria-Singidunum joint programs reflect global engagement. Professional development includes advanced training at Utrecht University (Bayesian Modeling, 2019), Stanford (Mentoring, 2010), and NYU (Valuation, 2012). He reviews for top journals like Annals of Tourism Research and Cornell Hospitality Quarterly , with 1017 Google Scholar citations and 349 Scopus citations. Current research involves the Science Fund of Serbia's TOURCOMSERBIA project evaluating tourism competitiveness models.
Melissa Koenig serves as Professor and Director of Graduate Studies at the University of Minnesota's Institute of Child Development (ICD), where her research examines social and testimonial learning mechanisms in children through investigations of trust, cultural learning, memory, language, and cognitive development. As a first-generation college student, she prioritizes supporting students navigating academic systems through collaborative mentorship. Education PhD (2002), University of Texas at Austin Her research program spans cognitive development, cross-cultural studies, early childhood, language acquisition, theory of mind, and social-emotional development across peer, parent, and romantic contexts. The lab employs interdisciplinary, multi-method approaches with explicit cultural analysis to advance developmental science, particularly examining how children evaluate information sources and integrate testimony into moral frameworks. Analysis of her 2021-2024 publications reveals dominant themes in epistemic trust development, including how children assess informant credibility through moral behavior, group affiliation, and cultural context. Key trajectories show increasing sophistication in distinguishing epistemic versus practical reasoning, cross-cultural variations in trust attribution, and the developmental emergence of resistance to power-based corruption like bribery. Advising & Mentorship Accepts new PhD students for Fall 2026 cohort Requires prospective students to contact prior to December 1 application deadline Public advising statement details mutual expectations and support structures Specializes in guiding students through academic navigation and hidden curriculum challenges She directs the Early Language and Experience Lab, which maintains a collaborative research environment focused on uncovering constraints and supports for children's social learning across diverse contexts, with particular attention to cultural and socioeconomic variables in developmental processes.
Glenn Roisman is a Professor at the Institute of Child Development , University of Minnesota. He holds the Distinguished McKnight University Professor and Robert Holmes Beck Chair of Ideas in Education titles, reflecting his scholarly influence and teaching excellence. Education: PhD (2002), University of Minnesota Roisman’s research examines how early relationship experiences shape lifespan psychological, interpersonal, physical, and cognitive health . His work integrates longitudinal data from birth to adulthood, focusing on normative and atypical caregiving environments. Recent publications analyze the predictive validity of attachment assessments (Strange Situation, Adult Attachment Interview), genetic/environmental contributions to attachment styles, and pathways from early adversity to cardiometabolic health. His projects leverage data from the NICHD Study of Early Child Care and Youth Development , Minnesota Longitudinal Study , and Minnesota Twin Registry . Scientific Awards : Distinguished McKnight University Professor Robert Holmes Beck Chair of Ideas in Education Roisman’s collaborations with institutions like Pennsylvania State University and grants from NHLBI , NICHD , and NIA underscore his leadership in developmental science. He is open to advising new PhD students in 2026, emphasizing multi-method and multi-informant research approaches.
Mark Lance is a Professor in the Philosophy Department at Georgetown University and co-founded the Program on Justice and Peace , where he also holds a professorial appointment. His academic career includes a three-year post-doctoral fellowship at Syracuse University after earning his Ph.D. at the University of Pittsburgh and a B.A. from the Ohio State University . Education Ph.D., University of Pittsburgh B.A., Ohio State University Lance's research spans Philosophy of Language , Epistemology , and Metaphysics , with a focus on Normative Pragmatics , Anarchist Theory , and Social Justice Activism . He collaborates with Rebecca Kukla on projects examining intersubjective norms, such as in his work ‘Yo!’ and ‘Lo!’: The Pragmatic Topography of the Space of Reasons (Harvard University Press, 2009), and engages with Wilfrid Sellars ' legacy in works like Placing in a Space of Norms (2008). His recent Google Scholar publications (2024–2020) highlight intersections of Gender Ethics , Mutual Aid , and Pragmatic Normativity . For instance, Telling Gender (2023) bridges linguistic pragmatics and ethical ascription, while Anarchist Responses to a Pandemic (2020) analyzes collective action during crises. The Truth Telling Project further reflects his commitment to anti-racist organizing and education. notable works include: Leave the Gun, Take the Cannoli (2013) on second-person normative calls. The Grammar of Meaning (2002), a foundational text on linguistic normativity. Defending Moral Particularism (2006), challenging theoretical ethical frameworks.
Saurabh Amin is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), where he also serves as the Edmund K. Turner Professor and Undergraduate Officer. He is a Principal Investigator at the Laboratory of Information and Decision Systems and holds affiliations with the Operations Research Center and the Center for Computational Science and Engineering. His educational background includes: B.Tech. 2002, Indian Institute of Technology (IIT) Roorkee M.S. 2004, University of Texas (UT) Austin Ph.D. 2011, University of California (UC) Berkeley Saurabh Amin's research focuses on the design and control of infrastructure systems using game theory and optimization in networks. His work spans three main areas: resilient network control, information systems and incentive design, and optimal resource allocation in large-scale infrastructure systems. By concentrating on critical infrastructure domains including highway transportation, electric power distribution, and urban water networks, his research develops innovative theory and tools to enhance system performance against both stochastic and adversarial disruptions. His approach involves modeling cyber-physical interactions in infrastructures to assess vulnerabilities, developing detection and response tools for failures at various scales, and designing economic incentive schemes that improve aggregate public good while accounting for dependencies and private information among strategic entities. Amin's work bridges mathematical systems theory with practical civil engineering applications, creating a rigorous theoretical foundation for infrastructure resilience that addresses diverse failure mechanisms from natural disasters to deliberate malicious actions. His recent publications demonstrate a strong focus on decarbonization of energy systems, resilient infrastructure planning under climate uncertainty, optimization methods for complex networked systems, and game-theoretic approaches to sustainable infrastructure management. His work increasingly integrates artificial intelligence and machine learning techniques with traditional control theory to address contemporary challenges in infrastructure resilience and sustainability. The research shows a clear trajectory toward addressing climate change impacts on infrastructure systems while maintaining economic efficiency and operational reliability. Professor Amin has received numerous prestigious awards and honors: Common Ground Excellence in Teaching Award, 2025 HSCC Test-of-Time Award, 2024 MIT CEE, Distinguished Service and Leadership Award, 2023 Samuel M. Seegal Prize (SoE) – inspiring students in pursuing and achieving excellence, 2022 Earll M. Murman for Excellence in Undergraduate Advising, 2022 C3.ai Digital Transformation Institute Research Award, 2020 MIT, Ole Madsen Mentoring Award, 2020 MIT, Energy Initiative Research Award, 2020 National Academy of Engineering, China-America Frontiers of Engineering Symposium speaker, 2019 MIT, Robert N. Noyce Career Development Professor, 2015-2018 Google Faculty Research Award, 2015 National Science Foundation CAREER Award, 2015 Siebel Energy Institute Research Award, 2015 MIT, Solomon Buchsbaum AT&T Research Fund Award, 2012 Professor Amin has been actively involved in significant research projects including the C3.ai DTI project on Causal Reasoning for Real-Time Attack Identification in Cyber-Physical Systems and another on Learning in Routing Games for Sustainable Electromobility. He serves as the chief scientist on multi-institutional NSF grants, including the $9 million Foundations of Resilient Cyber-Physical Systems (CPS) project. His teaching portfolio includes courses such as 1.008 Engineering for a Sustainable World, 1.104 Sensing and Intelligent Systems, 1.020 Engineering Sustainability: Analysis and Design, and 1.208 Resilient Networks. As Undergraduate Officer, he plays a key role in shaping the educational experience for civil and environmental engineering students at MIT. Professor Amin leads the Resilient Infrastructure Networks Lab at MIT, where his team develops theoretical foundations and practical tools for infrastructure resilience. The lab focuses on the intersection of control theory, game theory, and optimization applied to cyber-physical infrastructure systems. Current research directions include pandemic-resilient urban mobility and hurricane-resilient smart grid operations, reflecting the lab's commitment to addressing pressing societal challenges through rigorous systems engineering approaches.
Camillo J. Taylor is the Raymond S. Markowitz President’s Distinguished Professor in the Department of Computer and Information Science at the University of Pennsylvania , where he has been a faculty member since 1997. He also serves as Associate Dean for Diversity, Equity, and Inclusion at the School of Engineering and Applied Science. His research focuses on Computer Vision and Robotics , particularly in 3D reconstruction, semantic mapping, and autonomous navigation. Education: A.B. in Electrical Computer and Systems Engineering, Harvard College (1988) M.S. and Ph.D. in Computer Science, Yale University (1990, 1994) Research Interests: Dr. Taylor’s work bridges Computer Vision and Robotics to enable autonomous systems to perceive and navigate complex environments. Key themes include semantic SLAM, event camera applications, and meta-learning for adaptive controllers. His projects often integrate vision, physics, and multi-agent collaboration, as seen in systems like EvMAPPER and OCCAM . Recent Article Trends: His 2024–2025 publications focus on semantic mapping , event-based vision , and multi-agent LLM systems , reflecting his lab’s emphasis on real-time perception, physics-informed reconstruction, and rational decision-making in robotics. These works span applications from solar eclipse imaging to wildfire analysis and natural hazard resilience. Awards: NSF CAREER Award (1998) Lindback Minority Junior Faculty Award (2001) IEEE WACV Best Paper Award (2012) Lindback Distinguished Teaching Award (2012) Advising and Service: Dr. Taylor has advised numerous PhD students, including Jason Hughes and Bowen Jiang. He has served as a Program Chair for CVPR (2006, 2017) and General Chair for ICCV (2021). His contributions to the GRASP Laboratory have advanced autonomous micro-UAVs and semantic SLAM.
William Ennis is an Associate Professor in the Arts and Humanities school at Gallaudet University. He holds a B.A. in History from Gallaudet University and both an M.A. and Ph.D. in History from the University of Iowa. His teaching portfolio includes American History surveys, specialized courses on Deaf community history, and research methods in history. Ennis' research focuses on Deaf history with particular attention to eugenics, Civil War experiences of deaf individuals, archival practices, and the intersection of disability and social policy. He has served in leadership roles including Chair of the Faculty Senate (2018-2020), Committee Member for Presidential Search (2015), and Coordinator for institutional programs (2016-2017). His scholarly contributions include groundbreaking work on eugenics' impact on Deaf communities and transnational sign language loyalty networks. Ennis actively participates in professional organizations like the American Historical Association and Deaf History International. Though no lab affiliations are explicitly listed, his collaborative projects involve archival partnerships and oral history initiatives in the Mid-Atlantic region. Ennis has advised numerous independent studies and maintains an active speaking schedule at academic conferences focusing on Deaf history and historiography.
