Find Academic Supervisors

• Instructional Design
• Educational Technology
• Computing Education
• +7 more

Marisa Exter serves as Associate Professor of Learning Design and Technology within Purdue University's Department of Curriculum and Instruction since 2020, following promotion from Assistant Professor (2013-2020). With 15+ years of software design and development experience, she holds dual expertise in Computer Science (BS/MS) and Instructional Systems Technology (PhD). Her educational foundation includes: PhD in Instructional Systems Technology, Indiana University (2011) MS in Computer Science, Illinois Institute of Technology (2003) BS in Computer Science, Elmhurst College (1999) Dr. Exter's research pioneers transdisciplinary educational innovation , focusing on how design processes transform technology-creation fields like Instructional Design, Computing, and Engineering. She investigates formal and non-formal learning experiences to enhance undergraduate education through interdisciplinary programs, while simultaneously examining online graduate program structures that support adult learners' connection to faculty and peers. Her work integrates heutagogical principles for lifelong learning and rigorously documents design successes/failures through scholarly design cases. Analysis of her 15 most recent publications reveals accelerating focus on dispositional development in computing professions , competency-based curriculum models, and transdisciplinary experience design. Her methodological evolution includes increased use of Q methodology and collaborative autoethnography to capture diverse perspectives in educational innovation. As Purdue PI for a $3M multi-institutional computing competencies grant and co-coordinator of AECT's Summer Research Symposium, she drives national curriculum reform. Her mentorship approach cultivates the Exploring Disruptive Education research family group, which investigates interdisciplinary design processes across technology-rich learning environments. Professional service spans Computing Curriculum 2020 Task Force leadership and ACM/AERA membership. The Exploring Disruptive Education research collective she co-leads operates as an interdisciplinary incubator for educational innovation. This team examines how design thinking transforms learning experiences through technology integration, with particular emphasis on creating connections between formal education and industry practices in computing and engineering fields.

Lakshmi BalasubramanyanView profile

Associate Professor

• Credit Risk Management
• Operational Risk Modeling
• Fintech
• +4 more

Lakshmi Balasubramanyan is an Associate Professor in the Department of Banking & Finance at Case Western Reserve University's Weatherhead School of Management, joining in 2017. She holds a PhD and MS from Penn State University in quantitative banking analytics, alongside BA/MA degrees from the National University of Singapore. Specializes in AI integration in commercial banking Focuses on credit/operational risk modeling Expert in regulatory frameworks (Dodd-Frank Act) Active media commentator on financial trends Her research bridges traditional banking practices with emerging technologies, particularly through RegTech and FinTech innovations. Key contributions include analyzing bank balance sheet dynamics under liquidity regulations and developing entropy-based approaches to risk heterogeneity. Recent publications explore causal relationships between risk oversight and bank stability, syndicated loan market information asymmetry, and credit market feedback mechanisms. Current projects involve NSF-funded AI-enabled financial ecosystems. Recipient of two CSWEP Research Fellowships Multiple teaching award nominations (2020-2023) 2021 Weatherhead Intramural Grant recipient 2019 UCITE NORD Grant awardee Active in institutional service as Faculty Senate Committee member and Women in Finance advisor. Collaborates with Federal Reserve institutions on banking supervision research.

• Distributed Systems
• Embedded Systems
• Ubiquitous Computing
• +3 more

NAKAJIMA, Tatsuo serves as a Professor at Waseda University's School of Fundamental Science and Engineering, Department of Computer Network Engineering. Holding a Doctor of Engineering from Keio University, he has been affiliated with Waseda since 1999 after positions at Japan Advanced Institute of Science and Technology (1993-1999), Cambridge University, and Carnegie Mellon University. His academic profile shows substantial research output with 433 papers and 3,338 citations on Scopus, and 7,604 citations with an h-index of 42 on Google Scholar. Dr. Nakajima's research focuses on Distributed Systems, Embedded Systems, and Ubiquitous Computing, with particular emphasis on virtualization architectures for embedded environments. His work bridges theoretical computer science with practical applications in information appliances, operating systems, and persuasive computing technologies. He has developed innovative systems including SPUMONE (a composition kernel for multi-OS environments), SIGMA System, and SPLiT (a performance optimization library for multicore processors). Analysis of his 15 most recent publications reveals a consistent research trajectory centered on enhancing reliability, security, and performance of embedded and pervasive computing systems. His work shows increasing integration of human factors, particularly in sustainable behavior applications through persuasive technology. The research spans from low-level system architecture to user-centered applications, demonstrating both technical depth and practical relevance. Nokia Research Center, Visiting Research Fellow (2005.04) Dr. Nakajima's research has produced numerous practical frameworks including SPUMONE for multi-OS environments, SPLiT for performance optimization, and persuasive applications like EcoIsland for sustainable behavior. His work on kernel monitoring, anomaly detection, and self-healing systems demonstrates strong focus on system dependability. Current research appears directed toward integrating human factors with embedded systems, particularly in environmental sustainability applications. His laboratory work centers around the SPUMONE project, a virtualization layer for multi-core embedded systems that enables multiple operating systems to coexist with minimal engineering cost. This research environment supports exploration of resource management, security monitoring, and performance optimization in embedded contexts. The work has practical applications in information appliances, smart homes, and pervasive computing environments.

Jukka K NurminenView profile

Professor

• Efficient Software Systems
• Energy-Efficient Software
• Mobile Peer-to-Peer
• +6 more

Jukka K Nurminen is a Professor of Computer Science at the University of Helsinki (since 2019) and a Research Professor at VTT. He leads the Empirical Software Engineering research group and supervises doctoral students in the Doctoral Programme in Computer Science. His career spans academia and industry, including roles as Adjunct Professor at Aalto University (part-time, 2016-2021) and Principal Scientist at VTT (2016-2019). His research focuses on efficient software systems , particularly energy-efficient software , mobile cloud computing , and data-intensive systems . Recent work addresses AI system testing , ethical decision-making in software , and quantum computing software . His publications highlight trends in quantum algorithms , machine learning for edge computing , and ethical AI . Best Paper Award (2023) Nurminen has supervised 6 PhD theses, 48 MSc theses, and 21 BSc theses. He has secured over 1 MEUR in research funding, including projects like FrameQ and EM4QS for quantum middleware. His teaching innovations include hackathons and summer schools, with excellence recognized in tenure-track evaluation (2018) and adjunct professorship (2015).

• Cybersecurity
• Blockchain
• Machine Learning
• +12 more

Edgar Weippl is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice Dean and Head of the Research Group Security and Privacy. His work spans cybersecurity, blockchain, and machine learning, with teaching roles in information security and software security courses. Current Positions: Vice Dean (Faculty of Computer Science), Head (Security and Privacy Research Group), Deputy Head (Neuroinformatics & Knowledge Engineering Groups) Research Interests: Cybersecurity, blockchain, IoT security, code obfuscation, privacy technologies, reinforcement learning, and socio-technical systems security Selected Publications: Focus on blockchain privacy, VoWiFi security, code obfuscation, and reinforcement learning applications

• Process Technology
• Device Design
• Silicon Carbide (SiC) Electronics
• +3 more

Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.

Zhibin ChenView profile

Assistant Professor

• Transportation Network Modeling and Optimization
• Intelligent Transportation Systems
• Discrete Optimization
• +4 more

Zhibin Chen is an Assistant Professor of Engineering at NYU Shanghai and concurrently a Global Network Assistant Professor within the broader New York University system. Since January 2019 he has led research and teaching activities at the Division of Engineering and Computer Science in Shanghai, while maintaining university-wide collaborations through his Global Network appointment. Education Ph.D. in Transportation Engineering, University of Florida (2017) Research Interests Dr. Chen’s scholarship centres on Transportation Network Modeling and Optimization , Intelligent Transportation Systems , and Discrete Optimization . He integrates operations research, data science, and engineering to address emerging challenges in electric mobility, autonomous vehicles, and large-scale urban networks. Recent thrusts include: Data-driven analytics of electric-vehicle charging behaviour under usage heterogeneity. Optimization of charging and swapping infrastructure for electric buses and trucks. Network-level deployment and control strategies for connected and automated vehicles. Day-to-day traffic dynamics and equilibrium models with elastic demand. Pricing, policy, and incentive design for sustainable transportation systems. Scientific Awards Stella Dafermos Best Paper Award – awarded at the 95th Transportation Research Board Annual Meeting. Ryuichi Kitamura Paper Award – also conferred at the 95th TRB Annual Meeting. Editorial & Professional Service Dr. Chen currently serves on the Editorial Advisory Board of Transportation Research Part C: Emerging Technologies , shaping the editorial direction of the leading journal in his field. Grants & Collaborations While specific grant identifiers are not disclosed in the provided text, Dr. Chen’s extensive publication record in top-tier journals ( Transportation Science , Transportation Research Parts B, C, D , IEEE ITS , Applied Energy ) and his editorial role indicate sustained research funding and active collaboration with international partners across North America and China. Laboratories & Teams Operating within the Division of Engineering and Computer Science at NYU Shanghai , Dr. Chen leads a research group focused on next-generation mobility analytics, leveraging the university’s interdisciplinary ecosystem and NYU’s Global Network resources to advance smart and sustainable transportation.

Emmanuel M. GabrielView profile

Associate Professor

• Cancer Immunology
• Immunotherapy
• Tumor Imaging
• +7 more

Emmanuel M. Gabriel, M.D., Ph.D., serves as Associate Professor of Surgery and Consultant in the Department of Surgery at Mayo Clinic in Jacksonville, Florida. He directs clinical and research activities within the Mayo Clinic Comprehensive Cancer Center, specializing in surgical oncology for breast cancer, melanoma, sarcoma, and gastrointestinal malignancies requiring advanced regional therapies like HIPEC. His dual MD/PhD training uniquely positions him at the intersection of immunology research and complex cancer surgery. Dr. Gabriel's educational trajectory includes: MD/PhD in Immunology, Robert Wood Johnson Medical School (2009), thesis on regulatory T cells and cancer vaccines BA in Biology/Economics with Chemistry/Mathematics minors, Drew University (2002), Summa Cum Laude Residency and Administrative Chief Residency, UT Health San Antonio Department of Surgery Fellowship in Complex General Surgical Oncology, Roswell Park Cancer Institute His research program integrates two critical cancer domains: pioneering tumor imaging techniques to visualize immune-tumor interactions during surgery, and identifying systemic barriers in cancer care delivery through health disparities research. These efforts aim to personalize immunotherapy selection and develop equitable care pathways for underserved populations. Dr. Gabriel's scientific contributions are recognized through: Faculty Teacher of the Year awards from Mayo Clinic Department of Surgery (2022) Multiple Young Surgeon Research Awards from American College of Surgeons (2016) E. Douglas Holyoke Award as Outstanding Surgical Oncology Fellow (2016) Ongoing service as grant reviewer for national cancer organizations As an educator, he mentors surgical trainees through Mayo's integrated residency programs while leading translational research in the David F. and Margaret T. Grohne Cancer Immunology Program. His clinical practice directly informs research priorities, maintaining a continuous bench-to-bedside-to-community feedback loop. Dr. Gabriel's laboratory operates within Mayo Clinic's NCI-designated cancer center infrastructure, utilizing advanced imaging core facilities and population health resources to advance both immunotherapy development and health equity initiatives.

Lisa BroussardView profile

Associate Professor

• Nursing Education
• School Nursing
• Neonatal Nursing
• +3 more

Lisa Broussard serves as Associate Professor and Dean of the College of Nursing & Health Sciences at the University of Louisiana at Lafayette, holding the Acadian Ambulance Emergency Nursing Professorship. With faculty service since 1992 and administrative leadership since 2011, she directs academic operations while maintaining active research in nursing education and clinical practice. Her educational qualifications include: Bachelor of Science in Nursing (1985) from University of Southwestern Louisiana Master of Science in Nursing (1991) from LSU Medical Center Doctor of Nursing Practice (2006) from LSU Health Sciences Center Dr. Broussard specializes in Nursing Education Administration, focusing on School Nursing, Neonatal Care Quality Improvement, Simulation-Based Training, and Online Learning methodologies. Her work addresses critical gaps in inclusive educational environments, antibiotic stewardship in NICUs, and emergency response systems in school settings through evidence-based interventions. Recent publications reveal consistent emphasis on practical healthcare education solutions, particularly quality improvement in neonatal sepsis management, simulation accreditation frameworks, academic coaching efficacy in virtual nursing programs, and implementation science for school-based AED programs. Her professional recognition includes: Leadership Lafayette Class XXXV UL Lafayette Faculty Representative for University of Louisiana System Management Institute (2019-2020) Fellowship in Louisiana State Nurses Association (2019) As an active contributor to nursing advancement, she engages with Louisiana State Nurses Association, Sigma Theta Tau International Honor Society (Delta Eta Chapter), Louisiana Council of Administrators in Nursing Education, and Louisiana Simulation Medical Training Council. Her collaborative work spans student research in online nursing education, school health initiatives, and nursing administration best practices.

• Approved Mental Health Practice
• Mental Health Social Work
• Community Mental Health
• +1 more

Matt Proom serves as a Senior Lecturer in Social Work at the University of the West of England (UWE Bristol), bringing extensive frontline experience to his academic role. Prior to joining UWE Bristol, he worked across integrated Community Mental Health Teams, Emergency Duty social work services, and Approved Mental Health Professional Social Work Teams in both practitioner and managerial capacities. Education: Qualified as a Social Worker in 2008 at the University of the West of England Subsequently qualified as an Approved Mental Health Professional His expertise centers on Approved Mental Health Practice within statutory social work frameworks, with deep specialization in crisis intervention and mental health legislation application. Proom's professional background directly informs his academic focus on community-based mental health services, emergency response protocols, and the operational realities of implementing the Mental Health Act in high-pressure environments. His work bridges theoretical social work education with practical crisis management competencies required in contemporary mental health systems. As an educator, Proom emphasizes real-world application of mental health law through experiential learning, preparing students for complex decision-making in emergency social work contexts. His teaching integrates legislative requirements with ethical practice considerations in community mental health settings.

• Anthrozoology
• Human-Animal Relationships
• Companion Animal Psychology
• +4 more

Professor Pauleen Bennett is a leading scholar in Anthrozoology at La Trobe University's Bendigo campus, serving in the Department of Psychology, Counseling and Therapy within the College of Science, Health and Engineering since 2018. Her research program centers on human-companion animal relationships, particularly focusing on the psychological dimensions of human-dog bonds, veterinary wellbeing, and child-pet interactions. Her research interests span Anthrozoology , Human-Animal Relationships , and Companion Animal Psychology , with particular emphasis on dog behavior, veterinary burnout, and the therapeutic applications of human-animal bonds. Bennett leads the Anthrozoology Research Group (www.anthrozoologyresearchgroup.com) and has made significant contributions to understanding how animals impact human mental health across diverse contexts from farms to universities. Analysis of her recent publications reveals three dominant research trajectories: (1) human-animal relationship measurement tools development, (2) veterinary workplace wellbeing challenges, and (3) practical applications of human-animal bonds in agricultural, educational, and healthcare settings. Her work consistently bridges theoretical psychology with practical animal welfare applications. Bennett previously served as Associate Editor for Anthrozoos and on the board of the International Society for Anthrozoology. She co-supervises higher degree students across multiple Australian universities and maintains active community engagement through the Anthrozoology Research Group. Her funded research includes the Wildlife Victoria Inc Mental Health and Wellbeing Review (2021-2024), which developed recommended good practice guidelines for wildlife volunteer support programs. Bennett also serves as a consultant on human-animal interaction projects, translating academic research into practical community applications. Bennett maintains a productive research laboratory focused on human-animal interactions, with current projects examining puppy socialization practices, veterinary technician burnout, and the psychological benefits of animal-assisted interventions in university settings. Her Bendigo-based laboratory operates in close collaboration with Australian farms, veterinary clinics, and community organizations.

Juan ZhaiView profile

Assistant Professor

• Software-AI Synergy
• Software Dependability
• Formal Specification Synthesis
• +4 more

Juan Zhai is an Assistant Professor in the Manning College of Information & Computer Sciences (CICS) at University of Massachusetts Amherst, where she co-directs the Laboratory for Advanced Software Engineering Research (LASER) and participates in the UMass NLP group. Her academic career spans over 7 years of active service including program committee roles at top-tier conferences like ICSE, FSE, and ASE. Her research focuses on Software-AI Synergy with core areas including: Formal Specification Synthesis for precise software behavior definition Comment Generation and Maintenance using LLMs Trustworthy AI through bias detection and framework testing Deep Learning Infrastructure Reliability Recent work demonstrates strong emphasis on practical tools for AI safety and software dependability. Her publication trends show consistent output in top software engineering venues (ASE, ICSE, FSE) with increasing focus on AI/ML conferences (ACL, CVPR, ICLR). Key themes include metamorphic testing for deep learning frameworks, bias analysis in LLMs, and formal methods for specification synthesis. She actively serves the community through: Program committees for 13 major conferences Reviewing for 5 top journals including TOSEM and TSE 40+ total reviews across SE and AI venues Juan mentors PhD students including Gehao Zhang (research focus: Software Engineering, AI Safety) and teaches graduate courses like CS520 (Theory and Practice of Software Engineering) and CS692P (Hot Topics in SE Research). She leads the LASER lab which develops tools like C2S, CPC, and DevMuT for software reasoning and AI infrastructure testing.

Igor FranceticView profile

Research Fellow

• Health Economics
• Applied Economics
• Healthcare Organization
• +4 more

Igor Francetic is a Research Fellow at the Division of Population Health, Health Services Research & Primary Care at the University of Bristol. He holds a PhD in Public Health from the University of Basel (2019) and has expertise in health economics, applied microeconomics, and econometric analysis. His research focuses on healthcare organization, health behaviors, and policy evaluation, with a particular emphasis on emergency care prioritization, primary care workforce dynamics, and health inequalities. He has contributed to policy-oriented projects in Switzerland and Tanzania, including studies on hospital networks, patient safety, and health systems governance. **Education**: PhD in Public Health (University of Basel, 2019) MSc in Economics (University of Lausanne, 2016) BA in Economics (University of Lugano, 2012) BSc in Business Administration (SUPSI, 2011) **Research Interests**: His work explores cancer screening, spillover effects in healthcare, emergency care disparities, and primary care networks. He employs microeconometric and network analysis tools, leveraging platforms like R and Stata. Recent studies include evaluating skill-mix changes in primary care (England), socioeconomic disparities in emergency care access, and the impact of social accountability monitoring in Tanzania. **Awards & Fellowships**: SSPH+ Fellow, Swiss School of Public Health (2024–) SNSF Ambizione Fellow, SUPSI (2024–) **Teaching**: Co-lecturer for the Health Economics unit (ECON 32202) at the University of Bristol. **Professional Memberships**: Health Economists' Study Group UK (HESG) Royal Economic Society (RES) Swiss Society of Health Economics (sggö) Croatian Health Economics Association (CHEA) – Co-founder and board member

Femi OlanView profile

Senior Lecturer

• Digital Entrepreneurship
• Knowledge Management
• Performance Management
• +5 more

Femi Olan is a Senior Lecturer at the Strategy, Operations and Entrepreneurship department within Essex Business School at the University of Essex. His academic work bridges the intersection of digital entrepreneurship, knowledge management, and artificial intelligence in organisational contexts. Educational Background: PhD, University of Plymouth Research interests focus on digital entrepreneurship , artificial intelligence , and knowledge management , particularly examining how these technologies enhance organisational resilience and sustainability. His publications in journals like Information Systems Frontiers and Technological Forecasting & Social Change highlight applications of AI in supply chains, crisis information management, and sustainability. Recent editorial roles include Cogent Business & Management Journal (2024) and guest editorships for special issues on fake news, sustainable agriculture supply chains, and crisis information management. His 15 most recent articles (2022-2025) span topics such as explainable AI in B2B marketing, CSR implementation in African SMEs, and Industry 4.0 adoption in agriculture. He supervises PhD candidates in entrepreneurship and has secured funding from the UK Higher Education Academy and European Commission . As a coordinating board member of the Euro Working Group – Decision Support Systems , he contributes to international research networks and conferences.

• Multi-agent Systems
• Sustainability
• Intelligent Transport Systems
• +3 more

Dr. Fatemeh Golpayegani is an Assistant Professor at the School of Computer Science, University College Dublin. She leads the Multi-agent Systems and Sustainable Solutions lab (MAS3.ucd.ie) and has secured over €1.5M in research grants. Her academic roles include BSc Stage 4 Coordinator and Chair of Women@CS (2012–2023). She holds a PhD from Trinity College Dublin (2018) and professional qualifications in university teaching from UCD. Education: PhD in Computer Science, Trinity College Dublin (2018) Professional Diploma in University Teaching & Learning, University College Dublin (2024) Professional Certificate in University Teaching & Learning, University College Dublin (2023) Research Interests: Focuses on multi-agent systems, sustainability, intelligent transport systems, autonomous decision-making, and edge computing. Her work integrates reinforcement learning, ontology-based models, and adaptive systems to address challenges in smart cities, energy grids, and infrastructure monitoring. Grants & Projects: Principal Investigator for the EU-funded RE-ROUTE project (€multi-million, 2023–2026) on intelligent transport networks. Co-Principal Investigator for the Augmented CCAM project on connected/cooperative autonomous mobility. Funded investigator in SFI centres (I-Form, CONNECT, Biorbic). Awards & Recognition: Researcher of the Year Award (2022) Member of Young Academy of Ireland (2023) Teaching & Mentoring: Coordinates modules in algorithms, Java programming, and operating systems. Supervises PhD students in SFI centres and mentors postdoctoral researchers. Active in promoting EDI as Chair of d-real doctoral training centre. Labs & Collaborations: Leads the MAS3 lab, collaborating on projects like CAPTAIN CARBON (sustainable transport gamification) and ontology-enhanced traffic signal control systems.