Peter Huybers is a Professor of Earth and Planetary Sciences and Environmental Science and Engineering at Harvard University , where he investigates the climate system and its societal implications, including interactions between volcanism and glaciation , extreme temperature predictability , and climate change impacts on food production . Research interests span climate change attribution , paleoclimate reconstruction , drought dynamics , crop yield modeling , and earth system feedbacks . His work often integrates art-historical analysis with climate science, as seen in studies of 19th-century air pollution through Turner and Monet paintings . Scientific awards include funding from Harvard Data Science Initiative (2023) for projects on climate change and food supply volatility Amazon Web Services (2023) grant His 20+ peer-reviewed articles since 2020 focus on climate proxies , hydrological modeling , solar forcing , and agricultural-climate interactions , with recent work in Nature , PNAS , and Science Advances . Advising : Mentored 10+ PhD students including Parker Liautaud , Duo Chan , and Marena Lin , while leading research teams with current members like Greta Berendes and Caro Park . Former staff include Jon Proctor and Lucas Vargas Zeppetello , the latter now at UC Berkeley (2024).
Professor Luke Harding is a faculty member at the Department of Linguistics and English Language , Lancaster University , within the School of Social Sciences . His work bridges applied linguistics, language assessment, and critical discourse studies, with a focus on the ethical and societal implications of testing. Research Interests : Language testing and assessment, World Englishes and English as a Lingua Franca (ELF), second language listening and pronunciation assessment, diagnostic approaches to language evaluation, and language assessment literacy. Recent projects integrate digital technology and corpus linguistics into testing frameworks. Publications : Published extensively in Language Testing , Applied Linguistics , and Language Assessment Quarterly . Co-edited the Routledge Handbook of Language Testing (Second Edition) (2022), a key reference work in the field. Teaching : Leads modules in Language Test Construction and Evaluation , Issues in Language Testing , and Statistical Analysis for Language Testing within the university's distance MA program. Leadership : Convened the Language Testing Research Group with colleagues Tineke Brunfaut and John Pill, advancing interdisciplinary approaches to assessment.
Louis Hickman is an Assistant Professor of Industrial-Organizational Psychology at Virginia Tech’s Department of Psychology. He also serves as a Visiting Academic at Amazon and holds a Senior Fellow position at Wharton People Analytics, University of Pennsylvania. His research bridges technology and work, focusing on machine learning applications in organizational science, particularly automated interviews and algorithmic fairness. He leads the Workplace Assessment and Social Perceptions (WASP) Lab, exploring how biases influence hiring and using AI to reduce algorithmic bias. Hickman holds a Ph.D. in Industrial-Organizational Psychology from Purdue University (2021), alongside advanced degrees in Computer Science and Creative Writing. His work emphasizes interdisciplinary collaboration, spanning psychology, computer science, and management. Research Interests: Automated personnel assessment via AI Algorithmic bias mitigation in hiring Machine learning applications in HR and education Interpersonal perception dynamics Unproctored testing in the AI era Publications: Recent work examines automated interview validity, LLM impacts on testing, and recruitment algorithm ethics. His 2025 studies highlight risks of unproctored testing and bias in automated systems. Earlier research (2023–2022) explores text mining for personality assessment and fairness in AI-driven selection. Awards: None explicitly mentioned, though his work has been widely cited in organizational psychology and AI ethics domains. Advising & Labs: Currently not accepting graduate students for 2026, but oversees the WASP Lab. Past research collaborations include projects on LLM competencies, bias simulation, and algorithmic fairness frameworks. Grants and funding sources are unspecified in provided text.
Dr. Thilina Halloluwa is a Teaching Focused Lecturer in the Department of Human-Centred Computing at The University of Queensland (UQ). He holds a PhD in Human-Computer Interaction from Queensland University of Technology (2019) and a Computer Science undergraduate degree from the Sri Lanka Institute of Information Technology. With over 15 years of academic and industry experience, his research emphasizes real-world impact in education technology, financial inclusion, smart agriculture, and HCI. Educational Background: PhD in Human-Computer Interaction, Queensland University of Technology (2019) Bachelor of Computer Science, Sri Lanka Institute of Information Technology Research Interests: Education for All: Leveraging technology to enhance collaborative learning and social experiences in education. Human Money Interaction: Designing ethical AI solutions for financial services, particularly for underserved communities. Smart Agro: Developing AI-driven tools for crop disease detection, yield optimization, and precision agriculture. Software Project Estimation: Improving effort estimation accuracy through explainable AI (Metrix project). Key Contributions: Developed UrbanAgro (tomato disease detection) and BellCrop (bell pepper disease datasets). Pioneered Dhana Labha , a financial management tool for rural Sri Lankan communities. Advanced online exam proctoring systems for low-resource settings. Previous Roles: Lecturer at University of Sydney (2023) Senior Lecturer at University of Colombo (2013–2023) Lab/Team Affiliations: Smart Agro Project: AI-driven agricultural solutions Metrix Initiative: Software project estimation frameworks
Professor Michael Draper is a faculty member at the Hillary Rodham Clinton School of Law, Swansea University, where he serves as Director of the Swansea Academy of Inclusivity and Learner Success and Chair of the University’s Academic Regulations and Student Cases Board. He is a Principal Fellow of the Higher Education Academy and actively contributes to national and international policy development in academic integrity. His research focuses on Academic Integrity , Legal Education , and Ethics , with a particular emphasis on contract cheating, remote assessment challenges, and fraud law implications. His work bridges legal practice and educational policy, addressing issues like online assessment integrity and student assignment purchasing . Recent publications analyze trends in remote proctoring , essay mills , and academic ethics , reflecting his expertise in aligning legal frameworks with educational practices. He has received recognition as a Principal Fellow of the Higher Education Academy for his contributions to teaching and policy. Michael Draper supervises postgraduate research, including a 2023 PhD on Minority Shareholder Protection , and leads strategic university initiatives in learning and teaching. His grants include the Epigeum Project (2015–2017), which enhanced academic success frameworks.
Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants
Beatrice Constante is a Lecturer at the Department of Mathematics, University of Houston. She teaches courses such as Math 1325 - Calculus for Business and the Life Sciences and provides guidance for both face-to-face and online students. Her responsibilities include administering exams through the Distance Education Office and coordinating remote testing arrangements. She can be contacted via email at beatrice@central.uh.edu . Students are directed to use the CASA platform for course information and to purchase required course codes from the UH bookstore. She also recommends using Geogebra for calculus-related coursework.
Senthil Arumugam Muthukumaraswamy is an Associate Professor at the School of Engineering & Physical Sciences, Heriot-Watt University. His research focuses on robotics, machine learning, IoT applications, and automation, with contributions to the UN Sustainable Development Goals in areas like healthcare and agriculture. His work spans smart navigation systems for healthcare robots, surveillance systems for livestock health, facial recognition algorithms, and automated agricultural solutions like aquaponics and vertical farming. He explores path-planning algorithms for firefighting and military robotics, emphasizing AI-driven problem-solving in hazardous environments. Research trends include integrating bio-inspired algorithms, neural networks, and IoT for real-world applications such as elderly health monitoring, smart home automation, and energy-efficient systems. Collaborations span multiple countries, reflecting global interest in his interdisciplinary approaches. No scientific awards are listed, but his extensive publication record highlights active grant-funded research in robotics, automation, and renewable energy. He leads projects in robotics design, control systems, and sustainable farming technologies, contributing to both academic and industry partnerships. Labs and teams include collaborations on robotics, AI, and IoT systems, though specific lab names are not detailed in the provided texts.
Saeed Ur Rehman serves as a Senior Lecturer in Cybersecurity and Networking within the College of Science and Engineering at Flinders University. He holds leadership positions as Course Leader for BIT and MIT (Networks and Cybersecurity) programs and Deputy Research Section Lead for Data and Information Sciences. His institutional affiliations include membership in the Centre for Defence Engineering Research and Training and the South Australia Cyber Security Innovation Node (SA Node) Advisory Board. Dr. Rehman's educational background includes: PhD in Electrical and Electronic Engineering from the University of Auckland (2015) Graduate Diploma in Higher Education from Unitec Institute of Technology (2016) Master of Engineering from the University of Auckland (2009) BSc Engineering from Pakistan (2004) His research spans cybersecurity, wireless communication, and network security with specific expertise in physical layer security, satellite communication, visible light communication, and fog computing. Dr. Rehman has developed innovative approaches in RF fingerprinting for device authentication and has contributed to vital sign monitoring technologies using radar systems. His work bridges theoretical security frameworks with practical applications in digital agriculture, vehicular networks, and energy harvesting systems. Analysis of his recent publications reveals a strong focus on emerging security challenges in next-generation networks, particularly addressing vulnerabilities in digital agriculture systems, privacy preservation in fog computing environments, and physical layer security enhancements for 6G networks. His research demonstrates consistent interdisciplinary collaboration across computer science, electrical engineering, and healthcare technology domains. Dr. Rehman has received significant recognition including: IEEE Senior Member status (2016) Fellowship from The Higher Education Academy, UK (2019) Cisco Networking Academy instructor certifications (2019, 2022) PhD Completion Award from University of Auckland (2014) As an active researcher and supervisor, he has secured substantial research funding including AUD$810,000 for the SmartSat CRC project (2020), AUD$150,000 from Defence Innovation Partnership (2023), and multiple grants from Flinders University and New Zealand institutions. He supervises PhD and Master's students in cybersecurity, with completed projects focusing on IoT security and privacy-preserving data aggregation, and current projects exploring intelligent reflective surfaces, RF emitter geolocation, and vehicular data communication frameworks. Dr. Rehman contributes extensively to the academic community as an IEEE Senior Member serving multiple societies, conference chair, journal editorial board member, and peer reviewer for numerous publications in his field.
Armando Fox is a Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley, where he co-leads the ASPIRE Lab and directs the Berkeley MOOCLab. His work focuses on integrating online learning research into educational frameworks. He holds a PhD, MS and BS from Berkeley, Illinois, and MIT respectively. Fox's research spans applied statistical machine learning, Software as a Service (SaaS), cloud computing, parallel programming, and innovative online education methods. He pioneered Berkeley's first MOOC on software engineering and co-authored the textbook Engineering Software as a Service . His recent publications demonstrate strong focus on: AI-enhanced education tools and assessment systems Cloud-based learning management architectures Generative AI for collaborative programming education Automated testing frameworks for computer science Significant awards include: NSF CAREER Award ACM Distinguished Member Scientific American 50 top researcher recognition Fox previously contributed to Intel Pentium Pro microprocessor design and founded a mobile computing company based on his dissertation research.
Professor Rita Shackel is a distinguished academic at the University of Sydney Law School, holding the position of Professor of Law and Ethics. With a multidisciplinary background spanning law, science, psychology, and education, she brings a unique perspective to her work focusing on women and children's rights, particularly in the context of sexual and gender-based violence. Her educational background includes: BSc from the University of Sydney LLB from the University of Sydney Graduate Diploma in Education from the University of Sydney MA from the University of Sydney PhD from the University of Sydney Graduate Diploma in Legal Practice from the College of Law Rita Shackel's research program is strongly interdisciplinary, focusing on improving legal, health, and social justice processes with particular attention to access to justice for children and women. Her work on sexual and gender-based violence, child sexual abuse investigation and prosecution, and trauma-informed care has significantly contributed to policy and practice both nationally and internationally. She has developed innovative approaches to understanding victims' experiences and improving legal responses to interpersonal crimes. Her recent publications reveal a consistent focus on sexual violence, child protection, and legal processes, with increasing attention to trauma-informed practices across multiple disciplines. Her work spans criminal justice, healthcare, education, and policy development, reflecting her commitment to interdisciplinary solutions for complex social problems. Among her notable honors: Appointed Senior Innocenti Research Fellow, Innocenti Research Centre, UNICEF (2013) Member of the TEQSA Register of Experts in multiple disciplines (2013) 2012 Professor C.C. de Silva Memorial Orator (Sri Lanka College of Paediatricians) Visiting Professor at the Brandeis School of Law, University of Louisville American Association of University Women, International Fellow Professor Shackel actively supervises research students across a broad range of topics related to criminal justice, sexual crimes, and women's and children's rights. Her current research projects include evaluations of the ACT Witness Intermediary Program and the Victim Impact and Risk Management Support Seminars for Corrective Services New South Wales. She has secured substantial research funding and collaborates extensively with government agencies, legal professionals, and healthcare providers to translate research into practice. As a member of the Sydney Environment Institute and the Sydney Institute of Criminology, Professor Shackel contributes to interdisciplinary research teams addressing complex social justice issues. Her work bridges academic research with practical application in legal settings, policy development, and professional education for judicial officers, police, and healthcare professionals.
Kati Kasanen is a Senior University Lecturer in Educational Psychology at the University of Eastern Finland (UEF), affiliated with the School of Educational Sciences and Psychology under the Philosophical Faculty. Her work emphasizes pedagogical development, particularly in digital and hybrid learning environments. She is a member of the ability-self research group and focuses on evaluative educational practices, interprofessional collaboration, and academic entrepreneurship education. Her research spans topics such as student well-being, trust in distance learning, and the integration of digital tools in teaching. Notable contributions include studies on self-managing peer teams in online education, perceptions of interprofessional collaboration in Finnish schools, and the role of ability self-concepts in employability. Kasanen actively contributes to teacher training programs, including digital pedagogy toolkits for university educators. Kasanen’s work addresses challenges in balancing teaching and research, advocating for systemic recognition of teaching-focused academic careers to enhance professional well-being. Her publications highlight innovations in hybrid and online education, emphasizing the importance of dialogue in feedback mechanisms and trust dynamics in knowledge-intensive work environments. Her research has been published in journals like Journal of Applied Research in Higher Education and Journal of Interprofessional Care , reflecting her interdisciplinary approach to education and psychology. Kasanen’s efforts in curriculum development and pedagogical innovation aim to bridge gaps between academic theory and practical educational challenges.
Emily Campion is an Associate Professor in the Department of Management and Entrepreneurship at the Tippie College of Business, University of Iowa, where she also holds the title of Henry B. Tippie Fellow. Her research bridges industrial-organizational psychology and data science, focusing on personnel selection, machine learning, and workplace fairness. Research Interests: Dr. Campion's work centers on improving hiring systems through advanced analytics. She investigates how machine learning and natural language processing can enhance selection accuracy while reducing adverse impact. Her research explores personnel assessment fairness, employee well-being, identity conflict at work, and multiple jobholding. She is particularly interested in equalizing opportunities in recruitment and leveraging AI ethically in HR decisions. Publication Trends: Her recent publications (2022–2025) demonstrate a strong focus on integrating computational methods into personnel selection. She frequently publishes in top-tier journals such as Journal of Applied Psychology , Personnel Psychology , and Human Resource Management . Her work consistently addresses fairness, prediction accuracy, and technological innovation in HR systems. Scientific Awards: Early Career Faculty Research Award - Tippie College of Business, 2024 Tippie Research Excellence Award, 2024 Tippie Research Excellence Award, 2023 Zedeck-Jacobs Adverse Impact Reduction Research Grant - Society for Industrial and Organizational Psychology, 2022 Advising and Service: While no students are listed, Dr. Campion plays a significant role in academic leadership through editorial service. She is an Editorial Board Member for Journal of Applied Psychology , Personnel Psychology , and Journal of Vocational Behavior , and served as Co-Editor for a special issue on machine learning in personnel selection. She also presents her research nationally, including at the Society for Industrial and Organizational Psychology. Education: PhD in Organization and Human Resources, University at Buffalo, The State University of New York BA in Journalism, Indiana University
Blake A. Klinkner is an Assistant Professor at the University of North Dakota School of Law. His research focuses on the intersection of artificial intelligence, legal technology, and constitutional law, particularly addressing challenges in digital evidence, electronic discovery, and ethical implications of emerging technologies in judicial and legal practice. Key research areas: AI-generated court transcription, deepfake evidence, Fourth Amendment in remote examination contexts, and AI chatbots' limitations in legal research. Recent presentations include empirical studies on e-discovery proportionality at the Belmont Law Review Symposium and CLE sessions on AI and professional responsibility at the South Dakota State Bar Convention. Publications analyze AI hallucinations, deepfake detection methodologies, and privacy concerns in digital proctoring. His work bridges empirical legal studies with technological innovation, emphasizing best practices for integrating AI tools into legal workflows while safeguarding constitutional and ethical standards.
Kurt Ambrose serves as a Lecturer in the School of Engineering at La Trobe University, Australia, holding a teaching-focused academic position with active research contributions through 2023. His institutional affiliation centers on engineering education within the university's engineering division. His research program bridges engineering pedagogy and Indigenous educational equity, with primary focus areas including Engineering Education, Indigenous Student Engagement, and Online Learning methodologies. Dr. Ambrose investigates practical assessment solutions for engineering curricula while developing inclusive frameworks for underrepresented student populations, particularly Aboriginal and Torres Strait Islander communities. Publication analysis reveals an evolving research trajectory: recent work (2023) addresses contemporary engineering education challenges in online examination systems, while earlier studies (2015-2016) established foundational contributions to Indigenous student engagement in business education. This cross-disciplinary approach demonstrates consistent commitment to pedagogical innovation and educational access across academic domains.
