Find Academic Supervisors

Shimi Naurin AhmadView profile

Associate Professor

• Online Consumer Behavior
• Online Marketing and Sales
• Text Mining
• +3 more

Dr. Shimi Naurin Ahmad is an Associate Professor of Business Administration at Morgan State University's Earl G. Graves School of Business and Management. Her research focuses on Online Consumer Behavior and Text Mining of Online Word-of-Mouth, with a particular emphasis on leveraging large unstructured datasets to uncover behavioral patterns. Dr. Ahmad holds a Ph.D. in Business Administration from Concordia University's joint doctoral program with McGill, HEC, and UQAM, alongside an M.Sc. in Electrical Engineering from Concordia and a B.Sc. from Rajshahi University of Engineering and Technology. Research Interests: Online Consumer Behavior Text Mining Techniques Online Pricing Strategies Cross-Cultural Marketing Social Commerce Dynamics Her work has been published in top-tier journals such as the Journal of Marketing Analytics and International Journal of Information Management . Notably, her 2023 Journal of Marketing Analytics paper earned the Most Popular Article Award. She has secured grants including the Provost Innovation Grant and Transform Morgan Grant, supporting her research initiatives. Awards & Recognition: 2023 Most Popular Article Award (Journal of Marketing Analytics) Competitive Research Grants from Morgan State University Dr. Ahmad's research bridges technical disciplines like data mining with business applications, contributing to both academic and practical insights in consumer behavior and digital marketing strategies.

Nandini SidnalView profile

Senior Lecturer

• Artificial Intelligence
• Blockchain Technology
• Semantic Analytics
• +8 more

Nandini Sidnal serves as Senior Learning Facilitator and National Academic Course Coordinator for Torrens University's Master of Software Engineering program through the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 20 years of international teaching experience in Computer Science, Engineering, and Networking, she has established herself as a key academic figure in AI and blockchain applications. Her educational foundation includes: PhD in Computer Science and Engineering (Cognitive Computing using Intelligent Agents) from Visvesvaraya Technological University (2012) M.Tech in Computer Science and Engineering (Parallel and Distributed Computing using Intelligent Mobile Agents) (2003) Bachelor of Engineering (1993) Nandini's research spans Artificial Intelligence, Blockchain Security, and Cognitive Computing , with strong emphasis on practical implementations in agriculture and healthcare. Her work integrates intelligent agents with distributed systems to solve real-world problems like food supply chain security and medical diagnostics, demonstrating consistent innovation from her early best paper award-winning thesis to current cutting-edge applications. Recent publications reveal a pronounced trend toward AI-driven agricultural optimization (dairy quality, aeroponics, nut farming) and healthcare diagnostics (epilepsy detection), alongside critical work in edge security. These outputs consistently bridge theoretical frameworks with tangible industry solutions, particularly in blockchain-secured IoT systems and deep learning applications. Her scientific recognition includes: Best Paper Award at an international conference for distributed computing research Nandini actively mentors high-impact projects including 'Strengthening Mobile-Based Services for Agriculture' and 'Enhancing VANET Performance with Cloud and Edge Technology.' Her industry collaborations with Intel (Parallel Programming integration) and Nokia (Mobility Research Lab establishment in Finland) demonstrate exceptional academic-industry synergy. The AIRO Centre serves as her primary research hub where she guides PhD candidates in blockchain-secured agri-supply chains and semantic recommender systems. Her Mobility Research Lab in Finland remains a cornerstone of her practical innovation legacy, focusing on next-generation mobile application development that continues to influence current VANET and edge computing research directions.

Syeda Fizzah JilaniView profile

Lecturer

• Electromagnetics
• Radio Wave Propagation
• RF Spectrum Monitoring
• +7 more

Dr. Syeda Fizzah Jilani is a Lecturer in the Department of Physics at Aberystwyth University, UK, and a course coordinator for the MSc Radio Spectrum Engineering program. She holds a PhD in Antennas and Electromagnetics from Queen Mary University of London (2018) and previously worked on US DOE-funded research at the University of Maine. Her research focuses on advanced antenna systems, 5G/6G wireless technologies, millimeter-wave applications, and AI-driven environmental and medical imaging solutions. She has authored/co-authored over 50 papers, a book titled Antennas and Propagation for 5G and Beyond , and secured grants from L3Harris and QinetiQ. Key achievements include the 2024 Aberystwyth University Visibility Award and inclusion in the global '100 Brilliant and Inspiring Women in 6G' list. She leads projects on spectrum monitoring, reconfigurable antennas, and smart city applications, while actively supervising PhD students and contributing to IEEE and IET committees. Education: PhD in Electronic Engineering, Queen Mary University of London (2015–2018) Research Interests: Electromagnetics and Antenna Design Millimeter-Wave and Terahertz Systems Flexible Wearable Antennas Deep Learning in Remote Sensing and Medical Imaging 6G/5G Wireless Communication Networks Sustainable Transportation Solutions Recent Research Trends: Her work spans cutting-edge antenna technologies for 6G, AI-driven environmental monitoring (e.g., landslide detection, air quality analysis), and medical imaging advancements (e.g., breast lesion classification). Recent publications highlight innovations in reconfigurable phased arrays, liquid metal phase shifters, and explainable neural networks for healthcare. Awards and Grants: Principal Investigator: 3-year Serapis Project with QinetiQ/DSTL (£X) PI: L3Harris Technologies Grant (£Y) Featured in '100 Brilliant and Inspiring Women in 6G' (2024) Aberystwyth University Visibility Award (2024) Advising & Grants: Supervises PhD scholars and leads industry-academia collaborations. Projects include spectrum monitoring systems with the UK Spectrum Centre and smart city MIMO antenna arrays. Active in professional service as an IEEE AP-S Young Professional Ambassador and IET Antennas Technical Committee member. Labs/Teams: Works within the Department of Physics' Antennas and Propagation group, focusing on 6G infrastructure and wearable electronics research.

Tzakosta MarinaView profile

Professor

• theoretical linguistics
• applied linguistics
• morphophonology
• +6 more

Marina Tzakosta is a Full Professor at the Department of Preschool Education, Faculty of Education, University of Crete. Her expertise spans theoretical and applied linguistics with a focus on child language development, dialectology, and language pedagogy. She holds a PhD from Leiden University and has held visiting fellowships at the University of Massachusetts Amherst and Princeton University. Education: PhD in Linguistics (Phonology), Leiden University Center for Linguistics, 2004 MA in Linguistics (Phonology), University of Crete, 1999 BA in Greek Philology, University of Crete, 1996 Research Interests: Her work examines language acquisition (L1/L2), dialectal evolution in Greek, and the intersection of dialects with standard language. She advocates for dialectal teaching methods in education and explores sociolinguistic aspects of language variation. Recent Research Trends: Recent publications address sexist language use in Greek and English, dialectal pedagogy, morphology teaching strategies, and phonological development in child speech. She emphasizes applied research with practical educational implications. Awards: 2014: John S. Latsis Foundation Grant for the Digital Museum of Greek Oral History 2018: Visiting Research Fellowship at Princeton University’s Stanley Seeger Center Grants & Leadership: Principal investigator on multiple research programs, including EU-funded projects. Her work integrates linguistic theory with empirical classroom applications. She has supervised numerous research initiatives on bilingualism and language policy. Labs & Collaborations: Leads the Digital Museum of Greek Oral History project and collaborates with international institutions on dialectological research. Active in organizing conferences like the International Conference on Modern Greek Dialects.

• Language Education
• Second Language Acquisition
• Applied Linguistics
• +3 more

Amy Yu is an academic specializing in language education with a focus on teaching Chinese and English as second languages. Her research spans over 20 years, encompassing topics such as language pedagogy, cross-cultural communication, and educational reform. Her work bridges theoretical frameworks and practical applications, contributing to both Chinese and international academic communities. Yu has published extensively in journals like Global Chinese , Journal of Fujian Normal University , and Education World , showcasing her expertise in areas ranging from Hanzi instruction to sociolinguistic analyses of English vocabulary evolution. Her 2020 article on teaching Chinese Hanzi exemplifies her commitment to foundational language education methodologies. Her research interests emphasize the intersection of technology and education, particularly in digital communication's impact on language structures. She has explored non-verbal behavior in language teaching and the practical implications of cultural background in translation studies. These themes reflect her dedication to enhancing educational practices through interdisciplinary insights. Yu has contributed to educational reform discussions globally, analyzing systems in China, the U.S., and the UK. Her work highlights equity challenges and the need for adaptive curricula in vocational and higher education. While no specific awards are noted, her prolific output underscores her significant contributions to applied linguistics and pedagogical innovation.

Frank WolterView profile

Professor

• Knowledge Representation and Reasoning
• Logic in Computer Science
• Description Logic
• +9 more

Frank Wolter is a Professor for Logic and Computation at the University of Liverpool's Department of Computer Science. His research focuses on Knowledge Representation and Reasoning, Logic in Computer Science, Description Logic, and related areas. He has held significant editorial roles, including co-editing the Handbook of Modal Logic (2007) and multiple conference proceedings. He has been recognized with numerous awards, including Best Paper Awards at KR 2000, KR 2008, KR 2010, ISWC 2013, and PODS 2017, as well as the Elected EurAI Fellow (2023). His work includes foundational contributions to ontology-based data access and query answering, with a focus on computational complexity and formal methods. Wolter has supervised multiple PhD students, including Oliver Kutz, Sebastian Bauer, and Hadrien Pulcini. He has been involved in projects funded by EPSRC (e.g., Dynamic Ontologies, Knowledge Representation and Reasoning about Distances, and quantMD), addressing challenges in combining logics and modular ontologies. He actively participates in academic events, serving on program committees for conferences like IJCAI, AAAI, and KR, and has organized workshops on topics such as Craig Interpolation and the Decision Problem in First-Order Logic.

Sepehr Amir-MohammadianView profile

Associate Professor

• Cybersecurity
• Programming Languages
• Formal Software Security Assurance
• +5 more

Sepehr Amir-Mohammadian is an Associate Professor in the Department of Computer Science at the University of the Pacific, part of the School of Engineering and Computer Science. His research focuses on cybersecurity, programming languages, and formal software security assurance, particularly applying linguistic approaches to ensure properties in security-critical applications. He earned his PhD in Computer Science from the University of Vermont (2017), focusing on in-depth security policy enforcement, following an MS in Information Security Engineering (Amirkabir University of Technology, 2011) and a BS in Information Technology Engineering (Amirkabir University of Technology, 2009). Teaching interests include computer networking, reliable software design, programming languages, and theoretical computer science. He has held leadership roles such as Engineering & Computer Science Council Chair (2020-2021) and currently represents his school in the Technology in Education Committee. His research bridges theory and practice, with contributions to audit logging correctness, quantitative information flow analysis, and cybersecurity in cyber-physical systems. Recent work emphasizes concurrent audit logging in distributed systems, timing attack analysis in cyber-physical systems, and leveraging digital twins for security quantification. Notable collaborations include the OpenMRS medical records system and PRISM-Leak tool development for probabilistic program analysis. His publications span conferences like ACM CPSS, IEEE COMPSAC, and IEEE ICNC, addressing challenges in microservices, concurrency, and formal methods. While no specific awards are noted, his contributions to security frameworks and practical implementations reflect significant scholarly impact. Research groups and projects include work on hybrid-dynamic systems, concurrent logging, and network protocol testing with large language models.

• Consumer Behavior
• Public Health Nutrition
• Food Labelling
• +7 more

Dr. Tamara Bucher is an Associate Professor at the University of Newcastle, affiliated with the School of Environmental and Life Sciences. Her research focuses on consumer behavior, nudging strategies to improve food choices, and the impact of digital environments on dietary habits. She holds a PhD in Food, Nutrition, and Health from ETH Zurich and has extensive interdisciplinary collaborations in nutrition, psychology, and computer science. Dr. Bucher leads the University’s Doctoral Training Centre in Food and Agribusiness, bridging academic research with industry needs. She also serves as Deputy Director of the Newcastle Wine Studies Network, exploring consumer perceptions of wine and low-alcohol beverages. Her work emphasizes creating sustainable and accessible healthy food environments, including studies on convenience foods, online grocery shopping, and portion size education. Key achievements include developing the International Food Unit (IFU) to improve portion size estimation and co-authoring influential reviews on positional influences in food choice. She has received the 2013 Nutrition Society Paper of the Month award and supervises Dual Award Doctoral students with international partner universities. Her teaching roles include coordinating courses on Functional Foods, Micronutrients, and Food and Consumer Behavior. Current projects investigate digital nudging in online food platforms and the role of nature imagery in food marketing.

Jonathan GordonView profile

Assistant Professor

• Computational Linguistics
• Digital Humanities
• Natural Language Processing
• +3 more

Jonathan Gordon is an Assistant Professor of Computer Science at Vassar College, where he has been since 2018. His research focuses on computational linguistics, digital humanities, and natural language processing, with a particular emphasis on commonsense reasoning, educational technology, and knowledge representation. He holds a BA from Vassar College, and an MS and PhD from the University of Rochester. His work spans interdisciplinary projects such as the BD2K ERuDIte initiative, which develops educational resource discovery tools for data science, and the creation of metaphor annotation corpora. He has supervised research like C.J. Lambert's 2020 senior thesis on legal proceedings analysis. Awards include the Best Paper Award at the 2013 CIKM AKBC workshop. His teaching includes courses like Natural Language Processing (CMPU 366) and Programming with Data. Active in open-source development, he contributes to repositories like 'interpret' and 'metaphor-adp' on GitHub, focusing on NLP tools and abductive inference systems.

Alexandre MendesView profile

Senior Lecturer

• Machine Learning
• Optimization
• Deep Learning
• +6 more

Dr. Alexandre Mendes is a Senior Lecturer at the University of Newcastle, affiliated with the School of Information and Physical Sciences and the Department of Computing and Information Technology. His research focuses on machine learning, optimization, and deep learning, with applications in robotics, energy systems, and transport logistics. Education: PhD in Electrical Engineering, Universidade Estadual de Campinas, Brazil MSc in Electrical Engineering, Universidade Estadual de Campinas, Brazil Bachelor in Applied Mathematics, Universidade Estadual de Campinas, Brazil Graduate Certificate in the Practice of Tertiary Teaching, University of Newcastle Research Interests: Mendes specializes in applying machine learning to real-world problems such as optimizing railway logistics, predicting solar energy output, and improving robotic systems. His work bridges theory and practice, collaborating with industries like CSIRO and Hunter Valley Coal Chain. Grants and Funding: He has secured over AU$1.5M in grants from ARC, CSIRO, and industry partners. Key projects include coal train scheduling optimization and solar energy prediction using deep learning. Awards: Work Integrated Learning Staff Member of the Year (2020) Best Student Paper Award (2012) Pro Vice-Chancellor's Research Excellence Award (2011) Labs and Teams: He leads the NUbots robotics team, focusing on humanoid robots and autonomous systems. His research group collaborates on projects like the Sydney Metro and Hunter Region rail network optimization.

Martín CeresaView profile

Researcher

• Theoretical Computer Science
• Programming Languages Theory
• Type Theory
• +9 more

Martín Ceresa is a Post-doctoral Researcher at the IMDEA Software Institute in Madrid, Spain. His work focuses on theoretical computer science, programming languages, type theory, and blockchain technologies. He collaborates extensively with Prof. César Sánchez on formal methods for scaling blockchains and verifying smart contracts. Education: PhD in Computer Science from the National University of Rosario (Argentina), under Dr. Mauro Jaskelioff. His thesis developed an effectful improvement theory for languages with algebraic effects. Research Interests: Blockchain scalability, formal verification of smart contracts, runtime verification, embedded systems design, and foundational mathematics. His current projects include Setchain (a Byzantine-tolerant distributed data structure) and a non-Turing-complete language for critical embedded systems. Key Contributions: Co-developed the MegaDeTH tool for test case generation (now QuickFuzz), created the Coq-based Multi library for multi-contract analysis, and pioneered formal methods for layer-2 blockchain solutions. Collaborations: Active in the formal methods community, with contributions to EasyCrypt and collaborations with researchers like Gustavo Grieco and Antonio Fernández Anta.

Robert RandView profile

Assistant Professor

• Quantum Computing
• Formal Verification
• Quantum Programming
• +3 more

Robert Rand is an Assistant Professor of Computer Science at the University of Chicago, affiliated with the Programming Languages Research Group and the Chicago Quantum Exchange . His research bridges programming languages, formal verification, and quantum computation. Dr. Rand focuses on Quantum Computing , Formal Verification , and Quantum Programming . He develops tools like QWIRE for quantum circuit representation and VOQC for verified quantum compilers. Current work includes a textbook on verified quantum programming. His publications span quantum compiler verification, algebraic quantum languages, and formal methods in quantum computing. Recent projects involve error-correction, type systems, and quantum-classical interoperability through Qunity . Scientific Awards 2023 AFOSR Young Investigator Research Program Award France and Chicago Collaborating in the Sciences Award 2022 Keynote Speaker, Compiler Construction Distinguished paper awards: PLDI 2021, POPL 2019 Victor Basili Postdoctoral Fellowship (UMD) Dr. Rand actively collaborates on NSF-funded EPiQC (Enabling Practical-Scale Quantum Computing) and teaches advanced topics in quantum programming languages. He is currently working on a textbook on verified quantum programming and maintains active research groups in both Programming Languages and Quantum Computing.

Jana DunfieldView profile

Associate Professor

• Programming Languages
• Theoretical Computer Science
• Computational Logic Theory
• +4 more

About Jana Dunfield Jana Dunfield is an Associate Professor in the School of Computing at Queen's University, Kingston, Ontario. She holds a PhD in Computer Science from Carnegie Mellon University (2007) and a B.S. in Computer Science from Portland State University (2000). Her research focuses on programming languages, specifically type systems that enhance software correctness and performance through refinement types, bidirectional typing, and incremental computation. She has held academic positions at McGill University, MPI-SWS, and UBC before joining Queen's. Education Ph.D., Computer Science, Carnegie Mellon University (2007) B.S., Computer Science, Portland State University (2000) Research Interests Her work centers on type systems that improve software reliability and efficiency. Key areas include: Refinement types for precise property checking Bidirectional typing for sound type systems Incremental computation for optimized performance Gradual typing and modal logic integration Key Achievements Recipient of NSERC Discovery Grants ($26k–$33k/year) Co-developer of the Fungi framework for typed incremental computation Pioneer in focalization-based refinement typing systems Teaching & Advising Current graduate advisees include Dimitrios Economou (PhD), December Stuart (MSc), and Nick Mertin (MASc). She teaches courses like Programming Paradigms (CISC 360) and Semantics of Programming Languages (CISC 465), though she is on sabbatical from July 2025 to June 2026.

Daniel GöhringView profile

Professor

• Autonomous Vehicles
• Mobile Robotics
• Computer Vision
• +6 more

Prof. Daniel Göhring is a professor in the Department of Computer Science at the Free University of Berlin, leading the Autonomous Cars Lab and part of the Dahlem Center for Machine Learning and Robotics. His research emphasizes robotic perception, object tracking, and real-time planning under computational constraints, with a focus on autonomous vehicles and cooperative systems. Education: Bachelor's/Master's in Robotics (exact program unspecified) PhD in Computer Science at Humboldt University Berlin Postdoctoral Research at International Computer Science Institute (ICSI), Berkeley, CA Research Interests: Daniel's work integrates machine learning and sensor technologies like LiDAR and cameras to address challenges in autonomous driving. Key areas include SLAM algorithms, trajectory prediction, cooperative perception, and real-time systems. He explores how limited sensor data and computational resources can be optimized for dynamic traffic environments. Grants and Projects: Leader of the Autonomous Cars Lab Involved in EU-funded projects such as H2020 HIVEOPOLIS and KIS-M (AI-based mobility systems) Past projects include CRTX (recycling optimization), Open.Make (open hardware), RoboFish (biological swarm analysis), and SAFARI Awards: Best Poster Award at IAAS Workshop 2024 Best Paper Award at ICAIR-CACRE 2019 Teaching: He has taught courses such as Image Processing, Robotics, and Advanced Robotics. Recent semesters include modules on self-supervised learning, autonomous vehicle research, and continuous learning software projects. Labs and Teams: Daniel heads the Autonomous Cars Lab and collaborates with the BioRobotics Lab, focusing on interdisciplinary projects like 'Robots Communicating with Fish' and 'Open Hardware for FAIR Robotics.'

Pengyu NieView profile

Assistant Professor

• Software Engineering
• Machine Learning
• Program Analysis
• +2 more

Dr. Pengyu Nie is an Assistant Professor at the University of Waterloo's Cheriton School of Computer Science. His research enhances developer productivity through machine learning techniques for software testing, code maintenance, and program analysis. Specific interests include execution-guided test completion, code-comment co-evolution, and multilingual programming systems. Current projects investigate LLM-based code editing in computational notebooks, multilingual code co-evolution, and test generation for exceptional behaviors. Research outputs include tools like pytest-inline for Python testing and Roosterize for Coq lemma suggestions. Awards include the Margarida Jacome Dissertation Award (2023) and ACM SIGSOFT Distinguished Paper Awards (2023, 2019). He leads the UW-SWaG research group and advises PhD/master's students on software engineering and ML projects.