Find Academic Supervisors

Peter AnselmoView profile

Associate Professor

• Technology Management
• Management of Technology
• Agent-Based Modeling
• +7 more

Peter Anselmo is an Associate Professor in the Department of Business and Technology Management at New Mexico Tech, where he has served for 29 years since the department's inception. He currently holds the position of Executive Director (also referred to as Director) of the Office of Innovation Commercialization, playing a key role in translating academic research into practical applications. His research spans several interdisciplinary domains, with a focus on agent-based modeling applied to financial systems and opinion dynamics, decision analysis , risk modeling , and the commercialization of technology . These interests align closely with the mission of technology management and innovation-driven economies. The available information does not include recent publications, but his expertise suggests a strong orientation toward computational methods in management science and innovation policy. His work likely supports executive education and graduate-level training in technology leadership and strategic decision-making. Scientific Awards: No awards listed. Dr. Anselmo has extensive experience teaching executive and graduate courses both nationally and internationally, particularly within executive management programs. While there is no mention of specific grants or student advising roles, his leadership in commercialization indicates involvement in innovation ecosystems and potential collaboration with startups and industry partners. He is actively involved in institutional innovation infrastructure through the Office of Innovation Commercialization, which likely supports technology transfer, intellectual property development, and entrepreneurial initiatives at New Mexico Tech.

Federico BergentiView profile

Associate Professor

• Artificial Intelligence
• Software Engineering
• Multi-agent Systems
• +4 more

Federico Bergenti is an Associate Professor in Computer Science at the University of Parma, affiliated with the Department of Industrial Systems and Technologies Engineering (DISTI) and the Department of Mathematics, Physics, and Computer Science. He serves as Chair of the AI Lab since 2015 and is actively involved in teaching Artificial Intelligence, Software Engineering, and related courses across multiple degree programs. His educational background includes a Laurea degree (M.Sc.) in Electronic Engineering from the University of Parma (1998) and a Ph.D. in Information Technologies from the same institution (2002). Prior to his academic career, he worked at CSELT S.p.A. (1998-1999) and CNIT (2000-2006). Bergenti's research primarily focuses on Artificial Intelligence and Software Engineering, with special emphasis on multi-agent systems. His work spans agent communication languages, architectures for agent-based middleware, reusability in agent systems, and more recently, agent programming languages based on constraint logic programming. He is among the founders of the JADE initiative and remains active in the Agent-Oriented Software Engineering research community. Analysis of his recent publications reveals a consistent research trajectory centered on agent-oriented programming (particularly JADEScript), indoor positioning systems, neural-symbolic integration, and mathematical modeling of multi-agent dynamics using kinetic theory approaches. His work demonstrates strong interdisciplinary connections between computer science, mathematics, and engineering applications. Professionally, Bergenti has coordinated various scientific initiatives, served on the Senior Program Committee of the AAMAS international conference since 2006, hosted the IEEE WETICE conference in Parma in 2014, and served as Program Chair for WETICE 2016. He has participated in numerous European Commission-funded research projects under the 5th and 6th Framework Programmes. He leads the AI Lab at the University of Parma, where his team develops practical applications of agent-based systems, including indoor localization technologies, health assistance systems, and social network modeling. His research combines theoretical foundations with real-world implementations, particularly through the JADE multi-agent framework.

Nancy ShelstadView profile

Professor

• Positive Youth Development
• 4-H Youth Development
• Youth Programming
• +5 more

Nancy Shelstad is an Acting 4-H Director and Area Extension Educator in the 4-H Youth Development program at the University of Idaho Extension, Southern District. She holds dual responsibilities at both the state and district levels, leading initiatives in youth programming, volunteer development, and staff training. Her work is centered on Positive Youth Development (PYD) and the 4-H Thriving Model, with a strong emphasis on innovation and statewide program consistency. Her educational background includes a Master of Science (2006) and a Bachelor of Science (1985), both from the University of Idaho. These degrees provide the foundation for her applied research and extension work in youth development. Nancy's research and extension interests focus on Positive Youth Development , the 4-H Thriving Model , 4-H volunteer development , and career exploration for youth. She promotes PYD across all aspects of 4-H programming and contributes to national professional development efforts. Her work bridges academic research with practical outreach, ensuring that youth and volunteers receive evidence-based, impactful programming. The articles she has authored or co-authored reflect a consistent focus on youth development, educational programming, and extension resources. Themes include career exploration, volunteer facilitation, financial literacy, youth retention, and practical life skills such as public speaking and cooking. Her publications appear in respected outlets like the Journal of Extension and Journal of Youth Development , emphasizing applied research and curriculum development. Promotional Piece Team Award, National Association of Extension 4-H Youth Development Professionals, 2023 Excellence in Volunteerism Team Award for New Volunteer Orientation package, 2022 Excellence in Teamwork Award for Build Your Future, 2020 Educational Package Team Award for the 4-H Staff Orientation Guide, 2020 Excellence in Workforce Development Programming Team Award, 2019 Meritorious Service Award, National Association of Extension 4-H Agents, 2019 Nancy has played a significant role in advising and leading teams across multiple projects, including the development of statewide 4-H programs like 4-H Outside the Box and Build Your Future. She has led the creation of 20 staff development modules and contributed to national curriculum efforts with NASA and the National 4-H Thriving Model team. While formal graduate student advising is not mentioned, her mentorship of educators and volunteers is evident. She has secured recognition through numerous team-based grants and awards, reflecting strong collaborative leadership and program impact. Nancy has also served in national leadership roles, including Vice President of Member Services on the National Board of Trustees of the National Association of 4-H Youth Development Professionals (2021–2023). Nancy leads and collaborates with multiple teams, including the statewide 4-H staff, county 4-H coordinators, and national 4-H professional networks. She has chaired operations for national conferences and led curriculum development teams for Dutch Oven cooking and staff orientation. Her work is deeply embedded in collaborative, team-based extension education and youth development initiatives.

Michael WhiteView profile

Professor

• Computational Linguistics
• Natural Language Generation
• Spoken Language Dialogue Systems
• +3 more

Michael White is a Professor in the Department of Linguistics at The Ohio State University, specializing in computational linguistics, natural language generation, and spoken language dialogue systems. He holds a Ph.D. in Computer Science from the University of Pennsylvania and has collaborated with interdisciplinary teams in both academia and industry, including roles at CoGenTex, Inc., and visiting positions at Facebook/Meta and Australian universities. His research emphasizes controllable and ethical AI, with a focus on neural language models and their applications in healthcare and conversational systems. Education: Ph.D. in Computer Science, University of Pennsylvania. Professional Background: Former Research Fellow at the University of Edinburgh School of Informatics, and founder of CoGenTex, Inc. Collaborations include researchers in Computer Science and Linguistics at Ohio State, such as Eric Fosler-Lussier and William Schuler. Research Interests: Neural language generation controllability, ethical AI alignment, discourse processing, and conversational systems. Recent projects include developing virtual patient simulators for medical education and exploring knowledge distillation to mitigate AI-generated harm. Articles Trends: Focused on advancing neural NLG techniques, improving dialogue system safety, and leveraging large language models for domain-specific tasks (e.g., healthcare, KBQA). Recent work addresses transparency, data efficiency, and ethical implications in AI. Scientific Awards: Lumley Interdisciplinary Research Award (2023), PRE Accelerator Award. Grants: Supported by interdisciplinary initiatives such as the virtual patient project collaboration with Eric Fosler-Lussier and Laura Wagner. Advising and Grants: Mentors students in computational linguistics and leads projects funded by Ohio State’s interdisciplinary programs. Current work involves neuro-symbolic approaches for patient preparation assistants and data-efficient conversational AI. Labs/Teams: Collaborates with the Ohio State Computational Linguistics Group and industry partners. Active in organizing workshops on discourse-driven NLG and ethical AI challenges.

Juan Carlos FarahView profile

Researcher

• Educational Technology
• Artificial Intelligence in Education
• Learning Analytics
• +4 more

Juan Carlos Farah is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL), holding dual appointments in the Fondation Bertarelli Chair in Neuroprosthétique Cognitive (School of Life Sciences/SV) and the SCI-STI-DG group (School of Engineering/STI). His work bridges neuroscience, artificial intelligence, and educational technology, focusing on innovative applications of AI in learning environments and neuroprosthetics research. Research Interests: Farah’s research spans educational chatbot design, AI-enhanced learning analytics, neuroprosthetic systems, and the ethical integration of technology in education. He has pioneered frameworks for task-oriented conversational agents, blockchain-based learning trace repositories, and gamified computational thinking tools. Key Projects: He contributed to the Graasp Desktop initiative for underconnected African schools and developed the TRACE model for educational chatbots. His work on code review notebooks and bot-mediated software engineering education has influenced pedagogical practices globally. Awards & Recognition: No specific awards listed, but his publications reflect high-impact contributions to IEEE, ACM, and Elsevier journals/conferences. Active in global initiatives like UNESCO’s Unequal World Conference on education equity. Technical Expertise: Proficient in Python, JavaScript, and AI toolkits. Specializes in building scalable educational platforms, learning analytics pipelines, and neuroimaging analysis for cognitive studies.

• Requirements Engineering for Information Systems
• Services Engineering
• Agent-Oriented Modeling, Design and Architectures
• +5 more

Stéphane Faulkner is an Associate Professor in Technologies and Information Systems Engineering at the University of Namur and serves as Vice-Rector for Digital Transformation, Quality, and Communication. He also holds guest professor positions at the IAG - Business School of the University of Louvain (UCL) and the University Faculties of St Louis of Brussels (FuSL). His academic appointments include membership in the Namur Digital Institute (NADI) and the Management of INformation and DIgital Transformation (MIND IT) research group. His educational background includes a Ph.D. in Management Sciences from the University of Namur (2004), a Master in Financial Economics, and a Master in Computer Sciences (Civil Engineer). His doctoral dissertation focused on An architectural framework for describing BDI Multi-Agent Information systems . Faulkner's research centers on requirements engineering and the development of precise (formal) modeling notations, systematic methods, and tool support for multi-agent systems and services management systems. His work spans agent-oriented modeling, software project methodologies, and database engineering, with recent emphasis on blockchain applications and AI-enhanced decision support systems. His research demonstrates a clear trajectory from foundational work in multi-agent systems toward contemporary applications in digital transformation. His academic service includes membership on the advisory board of the BPM Forum, program committee roles for AOIS, IAT, and AOSE conferences, and reviewing for journals including JAAMAS, JWEIS, and IJAOSE. He has supervised numerous research projects including the Development of a Data-Intensive Recommendation Framework for Player Selection in Sport Management and Argumentation and Clarification in Requirements Engineering. Faulkner directs the Department of Management Sciences and is actively involved in the Blockchain for Information Systems workshop series. His research group, MIND IT, focuses on the intersection of information systems, digital transformation, and management science, with particular emphasis on practical applications in business contexts.

Silke Mikelskis-SeifertView profile

Professor

• Physics Didactics
• Science Education
• Digital Learning Environments
• +3 more

Prof. Dr. Silke Mikelskis-Seifert is a Professor of Physics and its Didactics at the Pedagogical University Freiburg since 2008 and Dean of Studies for the Faculty of Mathematics, Natural Sciences and Technology. Her research focuses on empirical teaching research , digital learning environments , and inclusive science education , particularly in physics instruction. PhD supervision: Betreut Promotionsprojekte in ProMatNat, DiaKom, CURIOUS, and HeLPS Key projects: Physik im Kontext (teacher professionalization), SINUS Transfer , INEXdigital (inclusive experiments), and EU-project COMPASS Her work explores modeling in physics education , digital scaffolding , and teacher noticing of student cognition . Recent publications emphasize gender-neutral pedagogical agents , barrier-free experiments , and comic-based learning environments for improving scientific self-concept and literacy. She leads professional learning communities for inclusive experimentation and investigates the intersection of analytical physics didactics with empirical research . Her methodological approaches include Delphi studies, classroom evaluations, and design-based research for context-oriented teaching materials.

Rob ElkingtonView profile

Assistant Professor

• Leadership Studies
• AI and Organizational Leadership
• Sustainable Leadership
• +12 more

Rob Elkington, Ph.D., is an Assistant Professor at Trent University's School of Business and Master of Management program in Durham, Canada. He also holds significant academic appointments as Adjunct Professor at Ontario Tech University in the Faculty of Social Science and Faculty of Education, and as Extraordinary Associate Professor at Stellenbosch University's School of Public Leadership, Cape Town, South Africa. These roles support his interdisciplinary research and teaching in leadership across sectors. His research interests span transformative leadership domains, including AI and Organizational Leadership , Women’s Agentic Leadership in STEAM in Disadvantaged Contexts (funded by NFRF), Ubuntu Leadership , Military Leadership Development using META , and Data Modernization in Policing . His work bridges theory and practice, focusing on equity, technology, and systemic change. The 15 most recent articles reflect a strong trajectory in digital, ethical, and inclusive leadership, with increasing emphasis on AI, sustainability, and first responder leadership. His publications reveal a consistent focus on leadership innovation across education, public safety, and global development contexts. Scientific Awards and Recognitions: NFRF Funded Research Project ICF Certified FLOW Business Coach MBTI Practitioner Advising and Grants: While specific students are not listed, Rob supervises faculty in the Ed.D program for Education and has led curriculum development for leadership programs in police, paramedic, and firefighter services. His research is supported by competitive funding, including from the NFRF, and he has facilitated leadership training across multiple sectors globally. Labs and Teams: As CEO of Global Leadership Initiatives, Inc. (www.globalleader.ca), Rob leads a team dedicated to advancing leadership excellence worldwide. This organization supports research, course development, and global workshops, serving as a hub for collaborative leadership innovation across academia, government, and emergency services.

• Software Systems
• Internet of Things
• Smart Cities
• +9 more

Professor Siobhán Clarke is a leading academic in the School of Computer Science and Statistics at Trinity College Dublin, focusing on software systems that enable smart urban environments. She directs the Enable SFI research programme and the Future Cities center, while co-leading major initiatives like ADVANCE and contributing to CONNECT and Lero . Her work bridges theoretical and applied research in dynamic software services, IoT, and edge computing. BSc, PhD (Dublin City University) Member of the Royal Irish Academy (MRIA, 2023) Fellow of Trinity College Dublin (FTCD) Her research explores smart city infrastructure , dynamic software adaptation , and multi-agent collaboration in large-scale mobile environments. Key projects include DIVERSIFY (EU FP7), Lero (SFI center), and TRANSFoRm (EU FP7 healthcare interoperability). Scientific contributions span QoS optimization , stigmergic service composition , and decentralized coordination . Awards include the Best Student Paper at ICWS 2011 and 2011 Postgraduate Course of the Year as Course Director. She supervises PhD and MSc students in software engineering, IoT, and urban computing. Current Projects: Enable (SFI), Future Cities (Trinity), ADVANCE (SFI) Previous Projects: DIVERSIFY (EU), TRANSFoRm (EU), Slice-Oriented Programming (SFI)

Davide AnconaView profile

Associate Professor

• Formal Methods
• Runtime Verification
• Programming Languages
• +3 more

Davide Ancona is an Associate Professor at the University of Genoa, Italy, in the Department of Computer Science, Bioengineering, Robotics, and Systems Engineering (DIBRIS). He holds key governance roles: Member of the School Council, School of Mathematical, Physical and Natural Sciences Member of the Department Board, DIBRIS His teaching portfolio spans Internet of Things, Healthcare IoT, Wearable Devices, Programming Languages, and Pervasive Computing across Computer Science and Bioengineering degree programs. His research concentrates on: Formal Methods and Programming Languages (specializing in corecursive streams and type systems) Runtime Verification for software correctness and multi-agent systems Internet of Things applications in healthcare contexts His work bridges theoretical foundations with practical verification tools for critical systems. Analysis of his 2023-2024 publications reveals: Foundational advances in corecursive stream equivalence and expressivity Novel applications of logic programming to runtime monitoring Techniques for verifying mutable object behavior in Java Extensions to robotic multi-agent frameworks like JaCaMo These contributions demonstrate a cohesive trajectory from theoretical programming language research to real-world IoT and healthcare validation systems.

Muhammad Abu Bakar SiddiqueView profile

Assistant Professor

• Natural Language Processing
• Large Language Models
• Machine Learning
• +7 more

Muhammad Abu Bakar Siddique is an Assistant Professor in the Department of Computer Science at the University of Kentucky, part of the Stanley and Karen Pigman College of Engineering. His research focuses on natural language processing, large language models, and machine learning with particular emphasis on zero-shot learning and conversational AI systems that are safe, personalizable, and interpretable. Dr. Siddique earned his Ph.D. in Computer Science from the University of California, Riverside (2017-2021), his M.S. from Lahore University of Management Sciences, Pakistan (2008-2011), and his B.S. from International Islamic University, Pakistan (2003-2008). His research interests include: Natural Language Processing and Large Language Models Zero-shot and few-shot learning for conversational AI Safe, personalizable, and interpretable conversational systems Task-oriented dialog systems with domain generalization Mobile app recommendation systems Scalable machine learning methodologies Dr. Siddique's publications span top venues including WWW, SIGIR, KDD, and IEEE S&P, demonstrating his focus on developing practical AI solutions that can adapt to new domains without extensive retraining. His recent work shows increasing exploration of quantum software and the intersection of AI with mobile applications. His notable achievements include Best Paper Awards at the IEEE International Conference on Quantum Software (2025) and IEEE ICSC (2021). Dr. Siddique has secured significant funding from the National Science Foundation: CPS Medium: Calfhealth: Explainable AI for Pneumonia Detection in Dairy Calves ($941,359) SaTC CORE: Personalized and Trustworthy Mobile App Recommendations ($300,000) III Small: User-Centric Task-Oriented Dialog Systems ($599,898) DCL EPSCOR: Distributed Edge Intelligence ($100,000) He currently advises three PhD candidates (Adib Mosharrof, Moghis Fereidouni, and Muhammad Umair Haider) and has mentored several successful graduates. Dr. Siddique serves on program committees for major conferences including ACL, NeurIPS, ICML, and AAAI, and participates in outreach by hosting high school students through the University of Kentucky's Summer Youth Program.

• Computational Neuroscience
• Biomechatronics
• Bio-inspired Robotics
• +5 more

Dr. Hanno Gerd Meyer is a Postdoctoral Fellow at the Faculty of Engineering, University of Bielefeld, working with the Center for Cognitive Interaction Technology (CITEC) and the Research Group Biomechatronics since January 2016. His research focuses on understanding insect visual systems and developing bio-inspired camera systems for robotic platforms. Dr. Meyer received his PhD in Computational Neuroscience from Bielefeld University in February 2014 with his dissertation titled 'Representation of Visual Motion Information in the Fly Brain'. His academic background includes an International Master's program in 'Systems Biology of Brain and Behavior' (2008-2010) and undergraduate studies in Biology and Psychology (2003-2008), all at Bielefeld University. His research centers on how flying insects like flies and bees use their visual systems for course control, collision avoidance, and spatial navigation. Despite having relatively few neurons and poor spatial resolution compared to artificial systems, insect visual systems demonstrate remarkable speed, flexibility, and resource efficiency. Dr. Meyer's work aims to translate these biological principles into engineering applications for robotic vision systems. He collaborates with the Cognitronics group at CITEC to develop algorithms on dynamically reconfigurable hardware combined with low power microprocessors. These algorithms extract motion information from optic flow to enable robotic agents to perform visually-guided orientation behavior in unfamiliar terrain based on principles found in insect neurobiology. Dr. Meyer has been actively involved in research at Bielefeld University since 2010, progressing from Scientific Assistant positions in the Department of Neurobiology to his current Postdoctoral Fellowship. His work contributes to Bielefeld's Socio-Technical World strategic research area, which focuses on capabilities enabling agents like humans, robots, and AI to act and communicate in complex environments.

Michael Y SyView profile

Associate Professor

• Multiple Sclerosis
• Autoimmune Diseases of the Central Nervous System
• Neuromyelitis Optica Spectrum Disorder
• +3 more

Michael Y. Sy, MD, PhD is an Associate Professor in the Department of Neurology at the University of California, Irvine School of Medicine, specializing in multiple sclerosis and autoimmune central nervous system disorders. Education: MD and PhD: UC Irvine College of Medicine Residency: Neurology, UC Irvine Medical Center Fellowship: Neurology - Multiple Sclerosis, UC Irvine His research focuses on translational neuroimmunology, investigating biomarkers for disease activity monitoring, safety of B-cell depleting therapies, and glycobiology's role in remyelination. Current work emphasizes precision medicine approaches for multiple sclerosis, NMOSD, and MOGAD through mechanistic studies and clinical trials. Recent publications (2021-2025) reveal strong trends in serum biomarker validation for hypogammaglobulinemia risk assessment, advanced neuroimaging techniques for demyelinating disorders, and therapeutic applications of N-acetylglucosamine. Key themes include multi-protein assays for disease activity, novel agents like Satralizumab and Frexalimab, and glycobiology mechanisms in myelin repair. Scientific Awards: No specific awards documented in provided materials. As Principal Investigator for 7+ clinical trials (including MOGAD studies with Satralizumab and NMOSD registries), Dr. Sy secures industry-sponsored research funding. Patient testimonials consistently highlight his thorough clinical evaluations and exceptional communication skills across UCI Health's Irvine facilities. He is integral to UCI's Multiple Sclerosis and Neuroimmunology program, collaborating with multidisciplinary teams to advance diagnostics and therapeutics for complex demyelinating conditions while maintaining active clinical practice.

Frank BöhmeView profile

Researcher

• Polymer Chemistry
• Macromolecular Chemistry
• Sustainable Polymers
• +4 more

Dr. Frank Böhme is a researcher at the Leibniz Institute of Polymer Research Dresden (IPF Dresden), working within the Department of Macromolecular Chemistry in the Sustainable Polymer Structures group. His research focuses on developing advanced polymer materials with emphasis on sustainability and functional properties. Dr. Böhme's primary research interests center around polymer chemistry with specific focus on amphiphilic networks, self-healing materials, and sustainable polymer structures. His work spans both fundamental polymer science and applied materials engineering, with particular attention to the synthesis and characterization of novel polymer systems. His research integrates chemical synthesis with advanced characterization techniques to understand structure-property relationships in complex polymer architectures. Analysis of Dr. Böhme's recent publications reveals a consistent focus on amphiphilic polymer networks, particularly those based on PEG-PCL systems. His work demonstrates expertise in creating materials with tailored properties for specific applications, with increasing emphasis on sustainability aspects in recent years. The research shows progression from fundamental characterization to application-oriented development of functional polymer materials, with self-healing properties being a recurring theme across multiple polymer systems. Dr. Böhme has established a productive research program with numerous collaborations across the polymer science community, as evidenced by his extensive publication record in high-impact journals including Macromolecules, Polymer, and Macromolecular Chemistry and Physics. His laboratory work focuses on developing novel polymer synthesis methods and characterizing the resulting materials using advanced analytical techniques including NMR spectroscopy, SAXS, and mechanical property testing. The research group maintains strong connections with both academic and industrial partners in the polymer field.

Sylvie Coste-MarquisView profile

Lecturer

• Knowledge Representation and Reasoning
• Artificial Intelligence
• Argumentation Frameworks
• +5 more

Sylvie Coste-Marquis is a Lecturer at the Institute of Technology of Lens, part of the University of Artois. Her research focuses on knowledge representation, argumentation frameworks, and computational logic, particularly in artificial intelligence applications. PhD in Computer Science (1994) from Henri Poincaré University of Nancy Co-supervised three PhD theses on argumentation systems, QBF, and speech recognition Administrative roles: Vice-President for Digital Affairs (2016-), Project Manager (2012-2016), and Head of IT Department (2010-2013) Her work explores abstract argumentation, belief revision, and quantified Boolean formulae, with recent contributions to enforcing extensions via optimization and translating argumentation frameworks. She actively participates in program committees for top-tier conferences like IJCAI and COMMA. She has contributed to ANR projects on multi-agent argumentation, configurable product recommendation, and preference handling in combinatorial domains. Her teaching includes modules on computer systems, object-oriented design, and AI, with recognized innovations in educational methods.