Find Academic Supervisors

Hartmut HerrmannView profile

Professor

• Photochemistry
• Multiphase Modelling
• Atmospheric Chemistry
• +4 more

Hartmut Herrmann is a Professor of Atmospheric Chemistry at the University of Leipzig and a Professor in Environmental Science and Engineering at Fudan University (Shanghai, China) and Shandong University (Qingdao, China). He serves as Head of the Atmospheric Chemistry Department at the Leibniz Institute for Tropospheric Research (TROPOS) since 1998 and as Deputy Director of TROPOS since 2011. His research focuses on atmospheric aqueous-phase chemistry , including free-radical reactions , kinetics , and multiphase modeling . Education: Ph.D. in Chemistry at Göttingen University (1987–1990) Diploma in Chemistry at Göttingen University (1986–1987) Chemistry studies at Göttingen University (1982–1986) Research interests include photochemistry , multiphase chemistry , and air pollution , with a focus on radical sources , chemical mechanisms , and atmospheric particle interactions . His publication trends emphasize aqueous-phase reactions and chemical kinetics in tropospheric and cloud chemistry. Scientific Awards: Double-Hundred Talent Prize of Shandong Province (2018) Gay-Lussac-Humboldt-Prize (2010) Fellow of IUPAC (2000) NATO/DAAD Post-Doc Scholarship (1992) FCI Graduation Prize (1990) FCI Ph.D. Scholarship (1987) Advising : Supervised 55 Ph.D. students and 50 postdocs, with 14 Ph.D. and 8 postdocs currently under his mentorship. Editorial Roles : Associate Editor for International Journal for Chemical Kinetics and Journal of Geophysical Research , and Editor for Atmospheric Measurement Techniques . Labs and Teams : Leads the Atmospheric Chemistry Department at TROPOS and contributes to international initiatives like SOLAS (Surface Ocean – Lower Atmosphere Study) and IUPAC Task Group on Atmospheric Chemical Kinetics . Active in professional societies including the American Chemical Society and German Chemical Society (GDCh) .

• Decision support systems
• Computational intelligence
• Recommender systems
• +4 more

Distinguished Professor Jie Lu is Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where she also serves as Director of the Australian Artificial Intelligence Institute (AAII). With over two decades of academic service at UTS, she has held progressively senior roles including Professor since 2007, Head of School of Software (2011-2014), and Director of the Centre for Artificial Intelligence (2017-2020) before assuming her current leadership positions. Professor Lu earned her PhD from Curtin University in 2000 and joined UTS the same year. Her academic journey progressed from Lecturer (2000-2001) to Senior Lecturer (2002-2004), Associate Professor (2005-2007), and ultimately Professor (2017-present). Professor Lu's research spans computational intelligence with particular expertise in decision support systems, fuzzy transfer learning, concept drift, and recommender systems. Her work bridges theoretical innovation with practical applications across transportation, telecommunications, healthcare, and education sectors. She has pioneered approaches in data-driven decision making that deliver tangible economic benefits and risk management solutions for industry partners. Her recent publications demonstrate continued leadership in AI research, with a focus on addressing challenges in non-stationary environments, out-of-distribution detection, cross-domain recommendation, and healthcare applications. Her work increasingly integrates large language models with specialized domain knowledge for enhanced decision support. Officer of the Order of Australia (2022) 2023 NSW Premier's Prize for Excellence in Engineering or Information & Communication Technology Australian Laureate Fellow (2019) IEEE Fellow for contributions to fuzzy machine learning and decision making (2018) Fellow of International Fuzzy Systems Association (2017) Australia's Most Innovative Engineer Award (2019) Multiple IEEE Transactions Outstanding Paper awards Professor Lu has supervised over 50 PhD students to completion, with half pursuing academic careers and half working in industry. She has secured over A$10 million in research funding as lead Chief Investigator, including 10 highly competitive ARC Discovery Projects. Her industry collaborations include significant projects with Optus, Sydney Trains, Domain Holdings, and healthcare organizations. As Director of the Australian AI Institute, Professor Lu leads Australia's largest AI research hub with over 250 researchers and PhD students. Under her leadership, AAII has secured 47 ARC grants and over 110 industry projects since 2017. She also serves as Editor-in-Chief of Knowledge-Based Systems, a leading journal in the field.

Hervé MoulinView profile

Professor

• Cooperative Game Theory
• Social Choice
• Incentive Compatibility
• +5 more

Hervé Moulin is the D.J. Robertson Chair in Economics at the University of Glasgow, where he has been since 2013. Prior to this, he held professorial positions at Rice University, Duke University, and Virginia Polytechnic Institute. His academic journey began with a PhD in Mathematics from the Université de Paris in 1975, following his graduation from the École Normale Supérieure in 1971. His research focuses on cooperative game theory, social choice, incentive compatibility, and fair division mechanisms. Moulin has significantly contributed to redefining normative economics, particularly in designing fair resource allocation systems for scenarios like voting, asset division, and rationing. His work bridges theoretical foundations with practical applications in areas such as traffic pricing, communication networks, and commons exploitation. Moulin has been honored as a Fellow of the Econometric Society (1983), the Royal Society of Edinburgh (2015), and the British Academy (2018). He served as President of the Society for Social Choice and Welfare (1998–1999) and the Game Theory Society (2018–2020). His contributions include over 140 peer-reviewed articles and five books, emphasizing the intersection of mathematics, economics, and social choice theory.

Nusser ZoltanView profile

Professor

• Neuroscience
• Neurophysiology
• Neuroanatomy
• +4 more

Zoltan Nusser is a Professor and Head of the Laboratory of Cellular Neurophysiology at the Institute of Experimental Medicine, Budapest, Hungary (part of the Hungarian Academy of Sciences). His research focuses on synaptic integration, neuronal communication, and ion channel distribution in neural circuits. He holds academic positions such as Member of Academia Europaea (2011) and Fellow of the Hungarian Academy of Sciences (2007). Education : Doctor of Science (D.Sc.) from the Hungarian Academy of Sciences (2002) Doctor of Philosophy (D.Phil.) in Physiological Science from Oxford University (1992-95) Doctor of Veterinary Medicine (D.V.M.) from the University of Veterinary Science, Budapest (1987-92) Research Interests : His work explores synaptic physiology, ion channel dynamics, and neural circuit organization. Key areas include olfactory nerve cell function, synapse diversity, and computational modeling of neuronal surfaces. Techniques used include patch-clamp electrophysiology, electron microscopy, and optogenetics. Awards : Debiopharm Life Sciences Award (2007) FENS/Boehringer Award (2006) Elected to Academia Europaea (2011) European Young Investigator Award (2005) Grants & Collaborations : European Research Council Advanced Grant (2012-2016) Wellcome Trust Project Grants (2010-2014) Collaborations with institutions including University College London, UCLA, and the Howard Hughes Medical Institute Labs & Teams : He leads the Laboratory of Cellular Neurophysiology, focusing on projects such as cerebellar microcircuit analysis and olfactory system modeling. His team employs multi-disciplinary approaches, combining experimental and computational methods.

Jean DecetyView profile

Professor

• Social Neuroscience
• Moral Decision-Making
• Empathy
• +5 more

Jean Decety is the Irving B. Harris Distinguished Service Professor at the University of Chicago, where he leads the Social Cognitive Neuroscience Laboratory. His research focuses on the neurobiology of social cognition, particularly empathy, morality, and prosocial behavior, using multimodal approaches like fMRI, EEG, and behavioral economics. Positions : Full Professor (2005-present), University of Chicago; Visiting Professor, University of Cape Town (2015-2016); Head of Neurophysiology of Intentionality, INSERM (1997-2001) Research Interests span social neuroscience, moral decision-making, psychopathy, developmental social neuroscience, and affective neuroscience. His work examines neural mechanisms of fairness, prosociality, and moral convictions, integrating cross-cultural studies across Southeast Asia, Europe, the Middle East, and the Americas. Scientific Awards include the IPSEN Foundation Neuropsychology Award (2013), Fellowships from AAAS (2011) and APS (2009), and multiple international grants. Publications highlight neuroimaging studies on empathy, moral reasoning, and the dark side of morality, with a focus on developmental trajectories and cross-species comparisons.

• Distributed Computing
• Graph Algorithms
• Theoretical Computer Science
• +3 more

Yannic Maus is a Professor at Graz University of Technology, affiliated with the Institute of Algorithms and Theory and the Institute of Software Engineering and Artificial Intelligence. His research focuses on distributed computing, graph algorithms, and theoretical computer science. He holds a PhD and multiple bachelor’s and master’s degrees in Computer Science. His work emphasizes distributed graph coloring, locality in algorithms, and massively parallel computing. He has contributed to foundational results in distributed algorithms, including optimal edge coloring and coloring hyperbolic random graphs. His research bridges theoretical insights with practical distributed systems challenges. Education: PhD in Natural Sciences (Dr.rer.nat.), B.Sc. and M.Sc. in Computer Science Key research interests include distributed algorithms for graphs, Lovász Local Lemma applications, and algorithmic efficiency in dynamic networks. His publications explore topics like ruling sets in trees, exponential speedups in MPC models, and adaptive coloring techniques for sparse graphs. He has also investigated the algorithmic small-world phenomenon and connectivity in forests using deterministic approaches. Yannic Maus’s work often addresses theoretical lower bounds and upper limits in distributed computing, with applications to real-world networked systems. His contributions span conferences like DISC and SoCG, focusing on both foundational problems and their algorithmic solutions.

Keshav PingaliView profile

Professor

• Programming languages
• Parallel computing
• Runtime systems
• +2 more

Keshav Pingali is currently the W. A. "Tex" Moncrief Chair of Computing and a Professor in the Department of Computer Science at The University of Texas at Austin. He also serves as Director of the Center for Grid and Distributed Computing at the Oden Institute for Computational Engineering and Sciences. Previously, he held positions as India Chair of Computer Science at Cornell University (2003-2006) and Professor in both the Department of Computer Science and the Department of Electrical and Computer Engineering there (1999-2006). Education: Sc.D. (1986) and S.M./E.E. (1983) from MIT B.Tech. (1978) from Indian Institute of Technology, Kanpur Research Interests: Keshav works in programming languages, compilers, and runtime systems for program optimization and parallelization, with a focus on multicore processors and irregular applications from domains like social networks, data mining, and graphics. Scientific Awards: ACM SIGPLAN Programming Languages Achievement Award (2024) ACM/IEEE CS Ken Kennedy Award (2023) IEEE Charles Babbage Award (2023) Foreign Member, Academia Europaea (2020) IIT Kanpur Distinguished Alumnus Award (2013) Fellowships: ACM (2012), AAAS (2010), IEEE (2010) NSF Presidential Young Investigator Award (1989-1994) IBM Faculty Development Award (1986-1987) President's Gold Medal and Lalit Narain Das Memorial Gold Medal at IIT Kanpur (1978) Leadership & Service: He has served on steering committees of major conferences (PLDI, PPoPP), chaired editorial boards (ACM Transactions on Programming Languages and Systems), and contributed to NSF advisory committees. His research group maintains a homepage at http://iss.ices.utexas.edu/ .

• Randomized Algorithms
• Networking
• Social Networks
• +7 more

Aravind Srinivasan is a Professor of Computer Science at the University of Maryland, College Park, USA. He holds tenure and has held academic positions at the National University of Singapore and Bell Labs. He completed his B.Tech at IIT Madras and his Ph.D. at Cornell University, with postdoctoral research at the Institute for Advanced Study and DIMACS. His research focuses on randomized algorithms, networking, social networks, combinatorial optimization, and their applications to public health, machine learning, and energy systems. He has published over 115 papers in top journals like Nature and the Journal of the ACM, and his work has received significant recognition, including 1,551 citations for his 2004 Nature paper on disease modeling. Education: B.Tech, Indian Institute of Technology Madras Ph.D., Cornell University Awarded Fellowships from ACM, AAAS, IEEE, and EATCS, he also serves as Editor-in-Chief of the ACM Transactions on Algorithms. His students have secured roles in academia, industry, and government, reflecting his impactful mentorship. His contributions span theoretical computer science and applied domains, with notable work in probabilistic methods, network science, and interdisciplinary applications.

Lothar ThieleView profile

Professor

• Computer Engineering
• Embedded Systems
• Bio-inspired Optimization Methods
• +2 more

Lothar Thiele is a Full Professor of Computer Engineering at the Swiss Federal Institute of Technology (ETH Zurich), where he leads the Computer Engineering and Networks Laboratory (since 1994). His academic career includes professorships at the University of Saarland (1988-1994), sabbatical stays at HP Research Labs (1999) and National University Singapore (2004), and research associate roles at Stanford University (1987) and IBM Research (1991). He is actively involved in academic governance, serving on the Foundation Board of the Hasler Foundation (since 2009) and as a member of the Academia Europaea (since 2010). PhD in Electrical Engineering, Technical University Munich (1985) Habilitation Thesis, Technical University Munich (1987) Research Interests : Thiele specializes in embedded systems design, bio-inspired optimization techniques, and wearable/mobile computing systems. His work focuses on models and software tools for embedded systems, with applications in distributed computing and sensor networks. Current projects involve bio-inspired multi-objective optimization and mobile information systems. Scientific Awards : 2005: Honorary Blaise Pascal Chair, University Leiden 2004: Member, Leopoldina Academy of Sciences 2001 & 2000: IBM Faculty Achievement Awards 1988: IEEE's Browder J. Thompson Memorial Prize 1986: Best PhD Thesis Award, TU Munich Thiele has led large-scale research initiatives like ARTIST2 European Network of Excellence, PREDATOR (FP7), and MICS Mobile Information and Communication National Research Program. He serves on editorial boards for journals including IEEE Transactions on Industrial Informatics and INTEGRATION, the VLSI Journal .

Zomaya AlbertView profile

Academic

• Complex systems
• Parallel and distributed computing
• Sustainable computing
• +7 more

Dr. Zomaya is the Chair Professor of High Performance Computing & Networking and Founding Director of the Centre for Distributed & High Performance Computing at the University of Sydney, Australia. He has held leadership roles including Deputy Head of School and Head of School at The University of Western Australia and the University of Sydney. A Fellow of AAAS, IEEE, and IET, he leads research in distributed computing systems, sustainable computing, and edge intelligence. His research spans parallel/distributed computing, energy-efficient systems, and cloud/edge technologies. He has published over 600 papers, authored/edited 20+ books, and secured $22M+ in funding from ARC, Cisco, IBM, and others. He currently supervises 12 PhD students and has mentored 35 PhD completions. Key awards include the ACM MSWIM 2017 Fessenden Award and IEEE Technical Achievement Award (2014). He serves as Editor-in-Chief of IEEE Transactions on Sustainable Computing and has chaired over 700 conferences. His current projects focus on data analytics over cloud/edge platforms and holistic energy-aware scheduling for distributed systems.

Pietro Lio'View profile

Professor

• Computational Biology
• Bioinformatics
• Machine Learning
• +2 more

Pietro Lio' is a Professor of Computational Biology at the University of Cambridge's Department of Computer Science and Technology, where he has held academic positions since 2003. He progressed from Lecturer to Senior Lecturer, Reader, and ultimately Professor (2018-present). His career includes prior roles as Associate Professor of Genetics at the University of Teramo and research positions at the European Bioinformatics Institute, University of Cambridge (Genetics/Zoology), and University of Southampton. Education: 1989: BSc in Electronic Engineering and Biology, University of Firenze 1995: PhD in Theoretical Genetics, University of Pavia 2007: PhD in Engineering (Non-Linear Dynamics & Complex Systems), University of Firenze Research Focus: Professor Lio' specializes in interdisciplinary approaches bridging computer science and biology. His primary research domains include computational biology, bioinformatics algorithms, machine learning (particularly graph neural networks), deep learning architectures, and complex network analysis. His work spans molecular to ecological scales, with applications in genomics, systems biology, and environmental modeling. Publication Trends: Recent work (2018-2020) demonstrates strong emphasis on graph neural networks (Graph Attention Networks, Deep Graph Infomax) and blockchain applications. Earlier publications (2015-2017) focus on ecological modeling, multi-omics integration, molecular communications, and single-cell genomics, reflecting consistent cross-disciplinary innovation. Awards and Honors: 2018: BITS Award (Bioinformatics Italian Society) 2017: Visiting Professorship at University of Padova 2016: BYRA First Prize (ISEM) & MCE Award Second Prize 2013-2015: Lagrange Fellowship 2011: European Commission Award for methodological innovation No information is available regarding student advising, grants, labs, or research teams in the provided materials.

• Autistic intervention
• Multi-modal sensing
• Medical devices and systems
• +4 more

Honghai Liu is a Professor at the University of Portsmouth, UK, with a career spanning over two decades in interdisciplinary research at the intersection of physics, physiology, and biomedical engineering. His affiliations include prestigious institutions like the University of Aberdeen and King’s College London, and he is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Institution of Engineering and Technology (IET). Research Interests: His work focuses on Autistic intervention Multi-modal sensing Medical devices and systems Human motion analytics Machine learning Intelligent robotics and control Stroke rehabilitation Recent publications highlight applications of biomedical engineering in stroke recovery analysis, autism screening protocols, and wearable sensor technology for muscle-computer interfaces. Scientific Awards: Fellow of IEEE (2020) Fellow of IET (2011) His research spans neuroscience, robotics, and control systems, with notable contributions to fatigue-sensitivity analysis and adaptive vehicle suspension technologies.

Matiyasevich YuriView profile

Professor

• Diophantine equations
• Computability theory
• Algorithms
• +1 more

Yuri Matiyasevich is a Russian mathematician and computer scientist affiliated with the Steklov Institute of Mathematics (Leningrad/St.Petersburg Branch) since 1980, where he serves as head of the Laboratory of Mathematical Logic. He also holds part-time professorships at Leningrad/St.Petersburg State University (since 2003) and previously at Polytechnical Institute (1980-1981). His research focuses on Diophantine equations, Computability theory, Algorithms, and Decidability problems. Full member, Russian Academy of Sciences (2008) Corresponding member, Bavarian Academy of Sciences (2007) Docteur Honoris Causa, Université Pierre et Marie Curie (2003) Humboldt Research Award (1997) Markov Prize, Academy of Sciences of the USSR (1980) His recent work involves computational approaches to Riemann's zeta function, probabilistic reformulations of graph theory problems, and algorithmic analysis of Diophantine representations. He has published extensively on connections between number theory and computational models, including studies on exponential Diophantine equations and their applications. Notable contributions include definitive solutions to Hilbert's Tenth Problem through Diophantine representations of recursively enumerable sets, and computational experiments supporting the Riemann Hypothesis. His publications span multiple languages and cover intersections between mathematical logic, number theory, and theoretical computer science.

Zoltan NusserView profile

Professor

• Neuroscience
• Neurophysiology
• Neuroanatomy
• +4 more

Zoltan Nusser is a distinguished Professor and Head of the Laboratory of Cellular Neurophysiology at the Institute of Experimental Medicine in Budapest, Hungary, a position he has held since 2000. He is a Fellow of the Hungarian Academy of Sciences (2007) and a member of Academia Europaea (elected 2011), with his research focusing on fundamental mechanisms of synaptic transmission and neuronal communication. Dr. Nusser received his Doctor of Veterinary Medicine (D.V.M.) from the University of Veterinary Science, Budapest (1987-1992), followed by a Doctor of Philosophy (D.Phil.) in Physiological Science from Oxford University, Hertford College (1992-1995), where he also earned Overseas Research Students Awards. He completed postdoctoral training at the MRC Anatomical Neuropharmacology Unit, Oxford (1995-1998) and a Wellcome Travelling Research Fellowship at UCLA (1998-2000). His laboratory pursues four major research directions: Understanding the role of specific nerve cells in olfaction using pharmaco- and opto-genetic techniques during odor discrimination tasks Investigating the molecular, structural, and functional diversity of excitatory and inhibitory synapses in the cortex Mapping the molecular distribution of ion channels across neuronal surfaces using quantitative microscopy and computational modeling Quantitative analysis of cerebellar cortex microcircuits, particularly focusing on electrically coupled GABAergic interneurons Dr. Nusser has received numerous prestigious awards including: Debiopharm Life Sciences Award (2007) FENS/Boehringer Award (2006) 'Akadémiai Prize' from the Hungarian Academy of Sciences (2006) European Young Investigator Award (2005) Ignaz L. Lieben Prize of the Austrian Academy of Sciences (2004) His research program has been supported by substantial funding including a €2.5 million European Research Council Advanced Grant (2012-2016) and multiple Wellcome Trust grants. He serves on editorial boards of The Journal of Neuroscience, The European Journal of Neuroscience, Hippocampus, and Frontiers in Cellular Neuroscience, and regularly reviews for top journals including Nature, Science, and Neuron. The Laboratory of Cellular Neurophysiology employs a multidisciplinary approach combining molecular techniques, neuroanatomy, electrophysiology, imaging, and computational modeling. Notable collaborations include work with Prof. Angus Silver's lab at University College London on cerebellar microcircuits, and Dr. Nusser's team has identified novel GABAergic interneuron subtypes in the main olfactory bulb that show unique connectivity patterns.

Kostas TriantisView profile

Associate Professor

• Ecology
• Biogeography
• Conservation biology
• +6 more

Kostas Triantis is an Associate Professor at the Department of Ecology and Taxonomy, Faculty of Biology, National and Kapodistrian University of Athens (2019-present). Previously, he served as Assistant Professor (2014-2019) and held academic positions including Special Secretary for Water at Greece's Ministry of Environment (2012-2015), Visiting Professor at University of Bayreuth (2011), and post-doctoral fellowships in Portugal and the UK. He is affiliated with multiple international organizations including IUCN and the International Biogeography Society. University: National and Kapodistrian University of Athens School: Faculty of Biology Department: Ecology and Taxonomy His research focuses on island biogeography, macroecology, community ecology, and conservation biology. Key themes include species-area relationships, ecological modeling, environmental heterogeneity, and the systematics of Aegean land snails. He leads international collaborations on biodiversity dynamics in the Anthropocene and has developed computational tools like sars and KBAscope for biogeographical analysis. Recent research includes: 2020-2023: Understanding the Anthropocene (Aegean Islands) - Hellenic Foundation for Research and Innovation 2018-2021: Inspire4Nature - Marie Curie European Training Networks 2010-2018: Threatened Land Snails of Europe - EU & IUCN collaboration 2012-2015: Community assembly on remote islands - CESAB, France 2012-2015: Biodiversity on oceanic islands - FCT, Portugal Scientific contributions include: Member of Journal of Biogeography editorial board Over 70 peer-reviewed publications Co-editor of two biodiversity books Assessor for over 200 Greek land snail species (IUCN Red List) Reviewer for 56 journals including Nature and Science