Find Academic Supervisors

• Decision Support Systems
• Energy Management
• Sustainable Energy Planning
• +8 more

Dr. Vangelis Marinakis is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). His academic background includes an Electrical and Computer Engineering degree and a PhD in Decision Support Systems for Sustainable Energy Planning from NTUA. PhD in Decision Support Systems for Sustainable Energy Planning (NTUA) Electrical and Computer Engineer (NTUA) His research focuses on designing methodologies for intelligent energy management across Smart Homes, Buildings, Cities, and Districts, leveraging technologies like IoT, AI, and Big Data. He has contributed to over 25 European (Horizon Europe, H2020) and national projects, with more than 50 journal publications and book chapters. Key research areas include Decision Support Systems , Energy Efficiency , and Renewable Energy Integration . He has led research in AI-driven energy forecasting, federated learning for privacy-preserving data models, and blockchain applications in energy markets. His work explores the intersection of Smart Grids , Building Informatics , and Climate Resilience . Dr. Marinakis has developed frameworks for: Decarbonization-as-a-Service in building renovations Scalable Big Data architectures for smart buildings Multi-criteria optimization of EV charging stations Explainable AI in energy decision-making Climate resilience assessment for urban housing

Patrick AignerView profile

Tutor

• Environmental Science
• Atmospheric Modeling
• Climate Impact Assessment
• +2 more

Patrick Aigner, M.Sc., is a Tutor at the Technical University of Munich , affiliated with the Professorship for Environmental Sensors and Modeling led by Prof. Jia Chen. His work focuses on urban greenhouse gas monitoring , particularly through automated measurement networks and emission inventory analysis . Research : Urban CO2/CH4 sensing, high-density sensor networks, spatial emission inventories Teaching : Tutor for Environmental Sensing and Modeling lectures and seminars Email : patrick.aigner@tum.de Research Areas include: Environmental Science : Urban climate impact assessment Atmospheric Modeling : Flux tower measurements, footprint analysis Climate Policy : Quantitative mapping of mitigation plans Air Quality Monitoring : CO/NOx co-emissions Publication Trends show collaboration across European cities (Munich, Zurich, Paris) with emphasis on high-density sensor networks , emission inventory methods , and climate verification frameworks . Key projects include ICOS Cities , MUCCnet , and SCOUT .

• Formal Methods of Software Engineering
• Operating Systems Verification
• Critical Systems Development
• +5 more

Alexey Vladimirovich Khoroshilov is an Associate Professor at the Faculty of Computer Science of the National Research University Higher School of Economics (HSE), affiliated with the Basic Department "System Programming" of the Institute for System Programming named after V.P. Ivannikov of the Russian Academy of Sciences (ISP RAS). He joined HSE in 2015, bringing 20 years of scientific and teaching experience to his position. His academic background includes a Candidate of Physical and Mathematical Sciences degree (2006) and a specialty in Applied Mathematics and Computer Science from Moscow State University named after M.V. Lomonosov (2001), with the qualification of Mathematician and Systems Programmer. His primary research interests focus on formal methods of software engineering, particularly in the verification and validation of critical systems. He specializes in methods for designing and developing critical systems, formal verification techniques, model-based testing, and requirements analysis. His work has significant applications in operating systems security, real-time systems, and safety-critical software development. His recent publications demonstrate a strong focus on operating system verification, with particular emphasis on abstract model-based runtime verification, security policy integration, and multi-level requirements compliance. His research often combines theoretical formal methods with practical applications in operating system security and verification. The recurring themes across his work include component-based verification approaches, thread-modular analysis techniques, and formal modeling of security policies. Khoroshilov maintains a strong connection with the Institute for System Programming of the Russian Academy of Sciences, where he has worked since 1999 and held the position of leading research fellow as of 2014. He also teaches at Moscow State University's Department of System Programming within the Faculty of Computational Mathematics and Cybernetics since 2009. His teaching focuses on operating system development, particularly courses on the design of operating system kernels for both bachelor's and master's programs. His technical expertise includes verification of operating system components, security policy implementation, and requirements management for critical systems. He has contributed to significant projects related to aviation real-time operating systems, formal security models, and Linux kernel verification.

Paola PaciView profile

Associate Professor

• Computational Biology
• Bioinformatics
• Network Medicine
• +3 more

Paola Paci is an Associate Professor at the Department of Computer, Control, and Management Engineering "Antonio Ruberti" of Sapienza University of Rome and an Affiliate Professor at the Department of Laboratory Medicine, Cardio-Metabolic Unit of Karolinska Institutet, Sweden. She has held visiting positions at Harvard Medical School and research roles at CNR's Institute for Systems Analysis and Computer Science. Her work bridges computational biology and network medicine. 2010: Second Level Master in Bioinformatics (Sapienza University of Rome) 2003: PhD in Physics (University of Pavia) 1999: MSc in Physics (Sapienza University of Rome) Paci develops algorithms for biomarker discovery and drug repurposing in network medicine. Her tools include SWIM for glioblastoma biomarkers, SPINNAKER for ceRNA interactions, SAveRUNNER for drug repurposing, and MIENTURNET for miRNA-target analysis. Recent work focuses on single-cell multi-omics, adverse drug effects, and pathogen spillover mechanisms. Her research spans 2025-2024 publications covering Alzheimer’s disease drug prioritization, COPD pathway analysis, obesity therapeutics avoiding hepatic steatosis, and neuroblastoma immunotherapy resistance. These works integrate network medicine with pharmacology, genomics, and systems biology. 2018: BITS Best Poster Award 2017: IEEE TCCLS Best Poster (700 USD) 2016: IEEE TCCLS Best Poster (500 USD) 2014: SYSBIO Award (10,000 EUR) 2010: Master Award (1,500 EUR) She teaches bioinformatics at Sapienza University and Campus Biomedico University, organized key IEEE workshops, directs training courses, and serves on editorial boards (Scientific Reports, Biotechnology Reports). Her affiliations include the Network Medicine Institute and GNB bioengineering society.

• Environmental Archaeology
• Coastal Geography
• Holocene Sea Levels
• +3 more

Alexandra Bivolaru is a Researcher at the Department of Humanities of Ca' Foscari University of Venice . Her work focuses on interdisciplinary studies bridging archaeology, environmental science, and coastal geography. Her research examines long-term human-environment interactions in coastal lagoons, with a focus on Holocene sea-level changes, paleoenvironmental reconstruction, and climate impacts on historical ecosystems. Collaborative projects include multi-scalar analyses of sedimentological and archaeological data from the Venice Lagoon and Adriatic Sea regions. Recent Publication Focus : Coastal wetlands, Holocene climate modeling, and lagoon sedimentology. Email : alexandra.bivolaru@unive.it

Michael MendilloView profile

Professor

• Space Physics
• Planetary Atmospheres
• Solar-Terrestrial Relations
• +3 more

Michael Mendillo is a Professor of Astronomy and Electrical and Computer Engineering at Boston University. His research spans space physics and planetary astronomy, focusing on atmospheric emissions and plasma dynamics in Earth and Solar System bodies. He leads a research group at the Center for Space Physics and has developed innovative imaging techniques for atmospheric studies. Education: B.S. in Physics (1966, Providence College), M.A. (1968) and Ph.D. (1971) in Physics and Astronomy from Boston University His research interests include space physics , planetary atmospheres , and solar-terrestrial coupling . Key projects involve low-light-level imaging, incoherent scatter radar, and theoretical modeling of ionospheric and planetary phenomena. Recent work analyzes sodium emissions in Mercury's atmosphere and comparative aeronomy of Mars and Earth. Professor Mendillo has received funding from NASA , NSF , Air Force Geophysics Laboratory , and other agencies. His research involves active experiments using sounding rockets and space shuttles to perturb space plasmas and derive physical processes. Scientific Collaborations: National Academy of Sciences committees Facilities: Boston University Station at McDonald Observatory He teaches graduate courses in space physics and undergraduate general astronomy for non-science majors. His leadership roles include founding the Center for Space Physics and serving as Associate Dean for the Graduate School of Arts and Sciences (1978-1987).

Curtis HuttenhowerView profile

Professor

• Computational Biology
• Bioinformatics
• Human Microbiome
• +4 more

Dr. Curtis Huttenhower is a Professor of Computational Biology and Bioinformatics at Harvard T.H. Chan School of Public Health , with dual appointments in the Department of Biostatistics and Department of Immunology and Infectious Diseases . His research focuses on computational methods for microbial community analysis, human microbiome public health implications, and machine learning applications in genomics. Education: B.S. (2000) from Rose-Hulman Institute of Tech, M.S. (2003) from Carnegie Mellon, Ph.D. (2008) from Princeton Major grants: NIH R21CA299494 (cancer virome), U24HL175772 (HVP consortium), OT2CA297578 (early-onset colorectal cancer prevention) His work spans functional metagenomics , microbiome diagnostics , and structured biological knowledge in machine learning . Recent studies include strain-level microbiome mapping and microbiome links to depression, diabetes, and cardiovascular disease . He contributes to open-source tools like MaAsLin and WAAFLE , and leads the Human Microbiome Project sub-cohort for inflammatory bowel disease microbiome characterization.

• Software Engineering
• Model Checking
• Formal Verification
• +4 more

Professor Tomoji Kishi is a distinguished faculty member at Waseda University's School of Creative Science and Engineering, where he has been serving since 2009. Previously, he held academic positions at Japan Advanced Institute of Science and Technology (2003-2009) following a 21-year career at NEC Corporation (1982-2003). He earned his Ph.D. in Information Science from Japan Advanced Institute of Science and Technology in 2002, building upon his earlier engineering graduate studies at Kyoto University. Professor Kishi's research focuses on software engineering, particularly in software product line development, model checking, formal verification, and aspect-oriented modeling. His work bridges theoretical formal methods with practical applications in embedded systems, automotive software, and IoT technologies. He has made significant contributions to scalability challenges in model checking for configurable systems and has pioneered approaches to variability management and approximate modeling techniques. His publication record demonstrates remarkable consistency and evolution, with 42 papers and 153 citations according to Scopus data (h-index: 7), spanning from foundational work in software architecture in the 1990s to cutting-edge research on AI-enhanced verification methods in 2025. His recent work shows increasing application of machine learning techniques to traditional formal methods problems, particularly in the context of highly configurable systems and IoT applications. ITS Standardization Activity Merit Prize (2022) from Society of Automotive Engineers of Japan IPSJ/ITSCJ Standardization Contribution Award (2017) IPSJ/ITSCJ Project Editor Award (2016 and 2013) Information Processing Society of Japan Society Activity Contribution Award (2010) IPA/SEC Journal Best Paper Award (2007) Information Processing Society of Japan Yamashita Memorial Research Award (1998) Professor Kishi has led multiple JSPS-funded research projects, including recent work on 'variability management methods prioritizing usability through variability mining' (2020-2023) and 'utility-first modeling method' (2017-2020). His industry collaborations, particularly with automotive systems developers, demonstrate the practical impact of his research. He maintains active membership in major professional societies including IEEE Computer Society, ACM, and the Information Processing Society of Japan.

Jan Henrik KlementView profile

Professor

• Public Law
• German Administrative Law
• European Administrative Law
• +7 more

Jan Henrik Klement is a University Professor and Dean of Studies at the Faculty of Law, University of Freiburg, where he has been teaching and researching since August 2021. He serves as Director of Department 3 at the Institute for German, European and International Public Law. Since October 2022, he has held the position of Dean of Studies at the Faculty of Law. In addition to his academic work, since March 2020, he serves as a part-time judge at the Administrative Court of Baden-Württemberg with jurisdiction over waste law. Albert Ludwig University of Freiburg (2021-present): University Professor University of Mannheim (2018-2021): Professor of Public Law, Commercial Law, Information Law and Legal Economics Saarland University (2013-2018): University Professor (W3) of Constitutional and Administrative Law Professor Klement and his team research public law in all its breadth and depth, with particular focus on German and European administrative law (especially environmental law, public economic law, and information law) as well as constitutional law (especially fundamental rights). Closely linked to this is fundamental legal research in the fields of legal theory and methodology. In teaching, he offers courses in German, European and International Public Law, Media and Information Law, and Philosophical and Theoretical Foundations of Law. His scholarly output demonstrates a consistent engagement with the intersection of legal theory, constitutional principles, and practical regulatory challenges, particularly in environmental and economic domains. The publications show progression from foundational work on legal responsibility to sophisticated analyses of European integration, digital governance, and sustainable development frameworks. Professor Klement holds significant academic governance positions including membership in the Standing Committee of the German Association of Law Faculties (since 2021, Deputy Chairman since 2024), the Board of Directors of the Internal Accreditation Committee of the University of Freiburg (since 2023), and serves as Liaison Lecturer of the Konrad Adenauer Foundation (since 2022). His educational background includes studies at Justus Liebig University of Giessen (First State Examination 2002), a doctorate from the same institution in 2006, and habilitation at Heidelberg University in 2013. Prior to his academic career, he worked as a freelance journalist for major German newspapers from 1993-2003.

Sandra D. EksiogluView profile

Professor

• Operations Research
• Network Optimization
• Supply Chain Management
• +6 more

Sandra D. Eksioglu is a Professor at the University of Arkansas and holds the Hefley Professorship in Logistics and Entrepreneurship . She is affiliated with the College of Engineering and the Department of Industrial Engineering . Ph.D. in Industrial and Systems Engineering, University of Florida (2002) M.S. in Economics and Management Sciences, Mediterranean Agronomic Institute of Chania (1996) B.S. in Business Administration, University of Tirana (1994) Her research focuses on Operations Research , Network Optimization , and Algorithmic Development , with applications in Energy Systems , Healthcare , and Transportation . She has published extensively on stochastic supply chain models, biomass logistics, and healthcare inventory management. Recent publications highlight her work in bioenergy systems , vaccine distribution , telehealth analytics , and stochastic optimization for infrastructure planning . Her methodological expertise spans multi-stage programming , discrete event simulation , and machine learning . Scientific Awards Fellow of IISE (2022) College of Engineering Imhoff Teaching Award (2021) NSF CAREER Award (2011) Best Application Paper, IISE Transactions (2019, 2018)

Reinhard SteurerView profile

Associate Professor

• Climate Policy
• Environmental Policy
• Sustainable Development
• +4 more

Reinhard Steurer serves as Associate Professor of Climate Policy and Deputy at the Institute of Forest, Environmental and Natural Resource Policy at the University of Natural Resources and Life Sciences (BOKU) Vienna. His research critically examines the political dimensions of the climate crisis, with particular focus on the proliferation of excuses and pseudo-climate protection measures across societal sectors. Steurer actively engages in public discourse through Twitter @ReiSteurer and supports youth climate movements as a Scientist for Future. His academic foundation includes a Mag.phil. (1997) and Dr.phil. (2001) in Political Science from the University of Salzburg, a Master of Public Policy (2002) from the University of Maryland, USA, and habilitation in Comparative Politics at BOKU Vienna (2013). Steurer's research spans climate governance, federalism's impact on climate policy, sustainable development strategies, and corporate social responsibility. He investigates how political systems in Austria, Switzerland, and Denmark enable symbolic climate gestures while hindering substantive action, particularly in flood risk management and building sector decarbonization. His work reveals institutional barriers to policy integration and the gap between climate rhetoric and implementation. Analysis of his 15 most recent publications (2021-2024) shows consistent focus on European climate legislation, adaptation governance, and the political dynamics of policy change. Key trends include comparative studies of national climate acts, transitions in flood management paradigms, and urban adaptation strategies like green roofs. His work consistently highlights the tension between political symbolism and substantive climate action across governance levels. With over 70 publications in journals including Policy Sciences and Climate Policy , Steurer has delivered more than 100 presentations and taught at four universities. His public engagement extends beyond academia through active science communication and support for evidence-based climate policymaking.

• Systems biology
• Artificial Intelligence
• Neural Networks
• +7 more

Professor Sandhya Samarasinghe is a leading researcher at Lincoln University's School of Landscape Architecture where she directs the Complex Systems, Big Data and Informatics Initiative (CSBII). With expertise spanning computational biology, AI, and complex systems modeling, she bridges theoretical frameworks with practical applications across biological, agricultural, and environmental domains. PhD, Virginia Tech, Blacksburg, United States MS, Virginia Tech, Blacksburg, United States MSc, International University of Moscow, Moscow, Russia Professor Samarasinghe's research centers on developing advanced computational methodologies for modeling complex systems. Her work explores how soft computing techniques—including neural networks, fuzzy systems, and machine learning—can unravel complexity in biological networks and environmental systems. She advances the view of living organisms as evolved information systems and develops conceptual frameworks for understanding biological complexity from molecular to organismal levels. Her research has significant applications in medical diagnostics, sustainable agriculture, and environmental management. Analysis of her recent publications reveals a strong emphasis on neural network applications across diverse domains, with particular focus on biological systems modeling, Alzheimer's disease research, agricultural technology, and environmental sustainability. Her work consistently integrates theoretical computational approaches with practical problem-solving. Fellow of Modelling and Simulation Society of Australia and New Zealand Senior Member of IEEE Visiting Fellow at Oxford University Visiting Fellow at Princeton University Visiting Fellow at Stanford University Visiting Fellow at CSIRO Professor Samarasinghe has supervised over 25 postgraduate students across diverse research areas including mastitis detection in dairy cattle, neural modeling of cell cycles, autonomous self-repair systems, and computational approaches to vaccine development. She leads the Complex Systems, Big Data and Informatics Initiative which develops cutting-edge computing solutions for complex biological and environmental challenges.

Julie HaasView profile

Professor

• Neuroscience
• Computational Neuroscience
• Electrophysiology
• +3 more

Julie Haas is a Professor at Lehigh University investigating neural attention mechanisms through electrical synapses in the thalamic reticular nucleus (TRN). Her research integrates electrophysiology, optogenetics, and computational modeling to decode how inhibitory circuits filter sensory information, with implications for attention disorders. Her educational journey includes a B.A. in Music and Mathematics from Indiana University, a Ph.D. in Biomedical Engineering from Boston University, and postdoctoral training at Harvard University and UC San Diego, supplemented by Computational Neuroscience studies at the Marine Biological Laboratory. Research focuses on electrical synapse plasticity as the core mechanism for attentional selection. The Haas lab examines how dopamine, GABA receptors, and amygdala inputs modulate TRN circuitry using in vitro brain slices and optogenetic tools. Key discoveries include activity-dependent long-term potentiation at electrical synapses and their role in sensory gating, bridging molecular dynamics to circuit-level functions through innovative computational models. Publication analysis reveals a decade-long trajectory from foundational electrical synapse characterization (2012-2015) to neuromodulatory mechanisms (2016-2021) and recent dopamine receptor investigations (2022-2024). This evolution demonstrates increasing complexity in understanding how electrical synapses integrate neuromodulatory signals for attentional control. Funding from NIH, NSF, Whitehall Foundation, and Brain and Behavior Foundation supports her lab's work. She teaches advanced courses including Synapses, Plasticity and Learning (Bios 385/415) and Neurophysiology Laboratory (Bios 278), training next-generation neuroscientists in cutting-edge techniques. The Haas lab operates within Lehigh's neuroscience facilities with specialized electrophysiology rigs, optogenetic systems, and computational resources for multi-scale analysis of thalamic circuitry, currently exploring electrical synapse dysfunction in neurodevelopmental disorders.

Peter C. PetersenView profile

Associate Professor

• Systems Neuroscience
• Computational Neuroscience
• Electrophysiology
• +3 more

Peter C. Petersen is an Associate Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. Holding a Civilingeniør (MSc) in Technical Physics from DTU and a PhD in Neuroscience, he specializes in systems-level neural mechanisms using electrophysiological approaches. His educational background includes: Civilingeniør (MSc) in Technical Physics, DTU PhD in Neuroscience Petersen's research focuses on neural dynamics in memory and motor systems, combining in vivo electrophysiology with computational modeling. He investigates hippocampal place cells for spatial working memory and rotational dynamics in spinal cord networks, while developing neurotechnology tools like CellExplorer for single-neuron analysis. His work bridges experimental neuroscience, engineering, and data science to decode circuit-level computations. Recent publications (2020-2024) reveal a dual emphasis on hippocampal memory mechanisms (e.g., temperature effects on sharp wave ripples) and innovative methodology (e.g., 3D-printed microdrives). This trajectory demonstrates consistent advancement from tool development to fundamental discoveries in neural coding, with increasing collaboration intensity as evidenced by multi-institutional authorship. Scientific awards: No specific awards were documented in the source material. While explicit advising details are absent, his leadership in software/hardware development (CellExplorer, microdrive systems) implies active mentorship of technical researchers. Grant information isn't specified, though high-impact publications suggest sustained funding for neurotechnology and systems neuroscience projects. Petersen directs the Petersen Lab (https://petersenlab.org/), which employs chronic electrophysiology in rodent models to study memory and movement. The lab maintains strong ties with the Buzsáki lab (hippocampal research) and continues collaborations initiated during his NYU Langone Health tenure (2016-2022), reflecting an integrated approach to neural circuit analysis across institutions.

• Sleep Apnea
• Cardiovascular Diseases
• Hypertension
• +4 more

Neda Esmaeili, Ph.D. is a Research Fellow in Medicine at Brigham and Women's Hospital, specializing in sleep medicine research with a particular focus on sleep apnea and its cardiovascular implications. Her work is conducted within the Department of Medicine and involves extensive collaboration with leading researchers in the field. Dr. Esmaeili's primary research interests center on obstructive sleep apnea, hypoxic burden measurement, cardiovascular consequences of sleep disorders, and treatment efficacy assessment. Her work bridges clinical sleep medicine with cardiovascular physiology, examining how sleep apnea contributes to hypertension, atherosclerosis, and other cardiovascular conditions. She has developed expertise in analyzing physiological burdens of sleep apnea and their relationship to adverse health outcomes. Analysis of her recent publications (2023-2025) reveals a strong focus on hypoxic burden as a key metric in sleep apnea severity assessment and treatment response. Her research increasingly incorporates community-based cohort studies and meta-analyses to establish population-level relationships between sleep apnea phenotypes and cardiovascular outcomes. Much of her work examines how specific interventions affect physiological parameters beyond traditional apnea-hypopnea index measurements. Dr. Esmaeili maintains active collaborations with a network of sleep researchers including Ali Azarbarzin, Ludovico Messineo, Scott Sands, and Susan Redline. Her research appears to be supported by institutional funding from Brigham and Women's Hospital and likely involves participation in multi-center studies given the scale of some of her meta-analyses involving thousands of participants. Her research team appears to be part of a larger sleep medicine research infrastructure at Brigham and Women's Hospital that has access to advanced physiological monitoring equipment, multi-ethnic cohort data, and clinical trial infrastructure for testing both pharmacological and device-based interventions for sleep apnea.