Professor Sang-Heon Lee is a faculty member at the University of South Australia, affiliated with the UniSA STEM division. His research spans interdisciplinary domains including machine vision, supply chain optimization, and material science. His research interests focus on developing advanced imaging systems for food safety (e.g., aflatoxin detection in almonds), optimizing reverse supply chains for electronic waste and solar panels, and engineering nanocomposites for construction materials. He also investigates biomedical imaging techniques for mucociliary transit assessment and clinical coding methodologies. The 15 most recent publications highlight his work in multispectral/hyperspectral imaging, fuzzy logic optimization, and nanomaterials. Key trends include non-destructive food testing, sustainable e-waste management, and biomedical imaging analysis. As a research degree supervisor, he contributes to academic training in these areas. No scientific awards or lab affiliations were explicitly mentioned in the provided text.
Philipp Slusallek is a Professor for Computer Graphics at Saarland University since 1999 and Scientific Director at the German Research Center for Artificial Intelligence (DFKI), leading the "Agents and Simulated Reality" research area since 2008. He has held leadership roles such as Director for Research at the Intel Visual Computing Institute (2009-2017) and Dean of the Faculty of Computer Science and Mathematics (2002-2004). His affiliations include being a Principal Investigator in the German Excellence Cluster "Multimodal Computing and Interaction" (2007-2019) and a Visiting Professor at NVIDIA Research (2007-2008). PhD in Computer Science from Erlangen University Diploma in Physics from Frankfurt and Tübingen University His research spans computer graphics, artificial intelligence, and high-performance computing, with contributions to real-time ray tracing, digital reality, motion synthesis, and domain-specific languages (DSLs). Recent work includes visual programming tools for image processing (2022), DSL frameworks for high-performance libraries (2018), and compiler optimizations for vectorized code (2018). Key themes include simulation technologies, programming models, and computational sciences. Scientific honors include Fellow of Eurographics, Associate Editor of Computer Graphics Forum , membership in acatech (German National Academy of Science and Engineering), and advisory roles in AI policy. He has led research groups at institutions like Stanford University (Visiting Assistant Professor, 1998-1999) and the University of Tübingen (Researcher, 1990-1992).
Lie-Liang Yang is a Professor of Wireless Communications at the University of Southampton's School of Electronics and Computer Science. With a career spanning over two decades at the institution, he has held roles from Postdoctoral Fellow to his current professorship. His research focuses on wireless communications, networks, signal processing, and emerging areas like molecular and nano communications. BEng (Shanghai Tiedao University, 1988) MEng (Beijing Jiaotong University, 1991) PhD (Beijing Jiaotong University, 1997) Postgraduate Certificate in Education (University of Southampton, 2005) His work spans advanced modulation techniques (e.g., OTFS, index modulation), reconfigurable intelligent surfaces, terahertz communication, and integrated sensing-communication systems. Recent publications emphasize next-generation wireless technologies, including 5G/6G, mmWave systems, and orbital angular momentum applications. Active projects include Beyond The Generations and Pervasive Wireless Intelligence , sponsored by EPSRC and Huawei. He has also contributed to editorial roles in IEEE Transactions on Vehicular Technology , IEEE Access , and special issues for IEEE Journal on Selected Areas in Communications and others. Scientific accolades: Fellow of the IEEE (USA) Fellow of the IET (UK) IEEE Vehicular Technology Society Distinguished Lecturer He supervises multiple PhD students in the School of Electronics and Computer Science, including Yi Zhao , Hugo Zakaria Jose Hawkins , and Zhou Lu . His research group integrates wireless communications with interdisciplinary applications in nanotechnology and machine-type communications.
Paolo Pescetto is a Fixed-term tenure-track Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, where he is also a member of the Interdepartmental Center PEIC (Power Electronics Innovation Center). He serves on multiple academic boards including the College of Electrical and Energy Engineering, College of Computer, Film and Mechatronics Engineering, and College of Mechanical, Aerospace, and Automotive Engineering. His research focuses on power electronics, electrical machines, and motor drives with particular emphasis on electric vehicle applications. His work spans motor control strategies, thermal management of high-power density motors, sensorless control techniques, and integrated power systems for e-mobility. He has developed advanced methodologies for flux mapping, torque ripple compensation, and fault protection in permanent magnet and synchronous reluctance machines. Analysis of his recent publications reveals a strong trend toward solving practical challenges in electric vehicle powertrains, with significant contributions in multi-phase motor drives, thermal management, and fault-tolerant control systems. His work bridges theoretical advances with practical automotive applications, particularly in third-generation electric vehicle technologies. Dr. Pescetto holds multiple patents in motor control technologies, including methods for MTPA tracking without HF injection, spatial harmonic flux-map identification, and isolated on-board battery chargers for electric vehicles. His intellectual property demonstrates practical innovation in the field of motor drives and power electronics. He actively supervises PhD students Andrei Bojoi and Chen Chen in the Electrical, Electronics, and Communications Engineering program, focusing on electric motor drives and sustainable traction electrification. His research projects include commercial contracts on sensorless control of synchronous reluctance machines, firmware implementation for motor control, and advanced sensorless control methodologies for brushless motors. As a member of the PEEMD Research Group within DENERG, Dr. Pescetto contributes to cutting-edge research in power electronics and motor drives, with a strong industry collaboration focus that translates academic research into practical automotive solutions.
Paolo Marocco is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino, Italy. His work focuses on hydrogen-based mobility solutions, renewable energy systems, and techno-economic/environmental sustainability analysis. He serves on teaching committees for Electrical and Energy Engineering, Mechanical Engineering, and Aerospace Engineering programs. Academic Role: Assistant Professor (Fixed-term) Department: Department of Energy (DENERG) Teaching: Hydrogen Laboratory, Electrical Energy Storage Systems, Applied Thermodynamics Research spans four key areas: Hydrogen Infrastructure : Green hydrogen production for ammonia synthesis, aircraft propulsion, and rail transport decarbonization. Projects include SOFFHICE (SOFC hybridization in maritime engines) and PNRR initiatives for industrial decarbonization. Energy Storage Systems : Hydrogen-battery hybrid storage, virtual thermal inertia storage, and optimal dispatch models for wind-electrolysis systems. Industrial Decarbonization : Semiconductor manufacturing, steel industry high-temperature heat substitution, and biogas carbon recovery. Policy Integration : Bridging technical research with European green policy targets through Italian energy modeling. He supervises 7 PhD students across Energetics, Mechanical Engineering, and Energy/Nuclear Engineering programs. Current projects include SOFFHICE (2023-2026) and PNRR-funded industrial furnace decarbonization (2023). Recent publications analyze hydrogen train feasibility, aviation fuel cells, and storage system optimization.
Prof. Andreas Bernig is a faculty member at Goethe University Frankfurt am Main, affiliated with the Department of Computer Science and Mathematics. He has held a W3 professorship in Differential Geometry since October 2009 and served as Dean of the Faculty (2017-2019) and Director of the Institute for Mathematics (2022-2024). His research spans Integral Geometry, Finsler Geometry, Riemannian Geometry, Geometric Inequalities, and Geometric Measure Theory, with a focus on valuations, kinematic formulas, and curvature measures in singular and pseudo-Riemannian settings. His recent publications explore topics such as the Hard Lefschetz theorem in convex valuation theory Weyl principle for Kähler manifolds Kinematic formulas in pseudo-Riemannian space forms Dual area measures in Hermitian integral geometry Invariant valuations on complex and quaternionic spaces These works often involve collaborations with leading mathematicians like J.H.G. Fu, Gil Solanes, and Thomas Wannerer. Prof. Bernig has received notable scientific recognition, including First prize at the German Mathematical Olympiad (1991, 1992) DFG and SNFS funding for projects like "Invariants of Singular Spaces" and "Tensor Valuations" He has supervised doctoral and Master’s students such as Luca Iffland, Frederik Herget, and Frank Steinke, and actively participates in international conferences and workshops in integral geometry, convex geometry, and geometric analysis.
Luc Segoufin is a Research Professor at INRIA (French National Institute for Research in Computer Science and Automation), affiliated with the Department of Computer Science at École Normale Supérieure (ENS) in Paris. He leads the VALDA research team, focusing on theoretical computer science foundations. His research spans: Database theory: Query answering, consistency, and enumeration complexity Logic and automata: Finite model theory, automata over data structures Computational complexity: Fine-grained analysis and lower bounds Formal methods: Verification and logic-based modeling His recent publications (2022–2024) concentrate on: Dichotomy theorems for query answering under constraints Constant-delay enumeration algorithms for structured data Decidability in logic fragments over trees and graphs Connections between automata, algebra, and complexity No scientific awards are mentioned in available sources. He collaborates extensively within the VALDA team and international researchers on projects involving database theory, logic, and automata. No student advising details are provided.
Nik Cunniffe is a Professor in the Department of Plant Sciences at the University of Cambridge, specializing in epidemiological modeling of plant pests and pathogens. His research focuses on developing theoretical and applied models to inform policy decisions regarding disease detection, control, and evolutionary dynamics. Key Research Areas: Theoretical epidemiology (deterministic, stochastic, and spatial models) Applied plant disease management (Phytophthora ramorum, ash dieback) Computational simulation techniques at large spatial scales Projects: Approximate models for complex disease management Stakeholder behavior impact on control efficacy Optimal fungicide resistance strategies Trap/repellent companion plants for virus control Collaborations: Cambridge NERC Doctoral Training Partnership (C-CLEAR DTP) NERC-funded CREATES program Email: njc1001@cam.ac.uk
Goran Glavaš is a Professor at the University of Würzburg's Faculty of Mathematics & Computer Science, holding the Chair for Natural Language Processing (Computer Science XII) and affiliated with the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and democratizing language technologies through fairness and sustainability. Former Assistant Professor at University of Mannheim (2017-2021) Interim Associate Professor at LMU Munich (2021-2022) Doctorate in 2014 at University of Zagreb under Jan Šnajder Recent research trends emphasize cross-lingual learning, multilingual knowledge integration, and ethical AI frameworks. His group contributes to robust multilingual models, vision-language systems, and sustainable NLP applications in social sciences. Outstanding Paper Award at ACL 2024 (IRCoder) Outstanding Paper Award at EACL 2024 (Kardeş-NLU) Extensive publications in EMNLP, ACL, NAACL, EACL, and TACL Advises a team of researchers at the University of Würzburg's NLP Chair, including Benedikt Ebing, Gregor Geigle, and Fabian David Schmidt. Leads the WüNLP group within CAIDAS, focusing on democratizing language technologies.
Anas Cherqui is an Assistant Professor at the University of Picardie Jules Verne, where he serves in the Department of Life and Earth Sciences within the Faculty of Sciences. With his HDR (Habilitation à Diriger des Recherches) qualification, he has been actively contributing to entomological research and teaching since at least 2006. His academic career includes significant administrative roles such as Co-Director of the Life and Earth Sciences Degree (2010-2018) and Co-manager of the Agroecology Course since 2018. Dr. Cherqui's research focuses on insect physiology, particularly plant-aphid interactions, protein biochemistry, and host-parasitoid relationships. His work explores how insects interact with their host plants, the molecular mechanisms of plant defense responses, and the identification of proteins with potential agricultural applications. His research has evolved to include investigating parasitoid wasp venoms for potential therapeutic applications, particularly in cancer treatment. His publication record shows consistent productivity with research spanning electropenetrography (EPG) studies of aphid feeding behavior, molecular analysis of salivary proteins, plant defense mechanisms, and the biochemical characterization of insect immune responses. Recent work has focused on pea aphid resistance mechanisms, plant manipulation strategies by aphids, and the potential medical applications of hymenopteran venoms. Dr. Cherqui has secured multiple competitive research grants including ANR projects, regional council funding, and SATT-NORD initiatives totaling over €200,000 in project leadership. His research has practical applications in developing alternative pest control strategies and understanding plant-insect coevolution. As an educator, he teaches entomology, insect immunity, and innovative agrosystems at the Master's level, and fundamental immunology, cell biology, and insect biology at the Bachelor's level. He has co-supervised multiple PhD students working on topics related to aphid-plant interactions and parasitoid virulence mechanisms.
Johannes Geier is a Researcher at the Chair of Design Automation at the Technical University of Munich (TUM). His work focuses on electronic design automation, fault injection simulations, and security countermeasures for RISC-V processors. University: Technical University of Munich Department: Chair of Design Automation Email: johannes.geier@tum.de Research Interests Electronic Design Automation (EDA) for analog and digital circuits Fault tolerance and reliability in RISC-V architectures Security analysis of post-quantum cryptographic systems Timing analysis and microfabrication techniques Optical Networks-on-Chip (NoC) and emerging technologies Compiler-assisted hardware security implementations Recent Research Trends Specializes in fault injection methodologies for hardware security validation Develops open-source tools like vRTLmod for RTL simulation acceleration Explores RISC-V vector extensions for post-quantum cryptography Investigates differential fault effect equivalence checks for efficiency Designs compiler-based security countermeasures against instruction skip attacks Works on concurrent multi-node XCP proxy server architectures
Marco Vinceti is a Full Professor at the Department of Biomedical, Metabolic and Neuroscience Sciences, University of Modena and Reggio Emilia. His work bridges environmental epidemiology, trace element toxicology, and public health policy. Research Interests: Focus on metal/metalloid exposure (selenium, iron, fluoride), neurodegenerative diseases (ALS, dementia), climate change impacts on health, and dietary interventions (MIND diet). Teaching: Leads courses in Hygiene and Public Health for Medicine and Surgery, and Health Research Methodology for Nursing Sciences. Publications: Recent studies analyze metal mixtures and mental health, selenium in drinking water risks, tofersen's impact on ALS biomarkers, and climate change's role in West Nile Virus spread. Environmental Advocacy: Investigates healthcare sector plastic waste reduction through water refill stations. Article Trends: His 2025 publications emphasize environmental toxicology (metals, selenium), neurodegenerative biomarkers, and climate-related health risks. Sub-fields include dose-response meta-analysis, dietary patterns in aging, and urban green space mitigation of noise exposure.
Hyunjoo Kim Karlsson is a researcher at the Department of Economics and Statistics, School of Business and Economics, Linnaeus University. Her work focuses on statistics and finance, particularly in high-dimensional data analysis, wavelet decomposition, and machine learning applications. Doctoral thesis: Dynamics of macroeconomic and financial variables in different time horizons (2012), Jönköping International Business School. Her research spans shrinkage estimators, outlier detection, time series modeling, and multivariate analysis under multicollinearity. Recently, she has expanded into statistical learning and mixed data sampling (MIDAS) for economic nowcasting. Key publication trends include oil price impacts on economies, exchange rate dynamics, and nonlinear financial modeling using wavelet methods and machine learning. She collaborates with researchers like Krister Månsson and R. Scott Hacker. Hyunjoo is part of the Deterministic and Stochastic Modelling group within Linnaeus University's Data Intensive Sciences and Applications (DISA) center, contributing to interdisciplinary sustainable co-creation projects.
Ramesh Chandra, PhD, is an Assistant Professor in the Department of Neurobiology at the University of Maryland, Baltimore , and serves as Director of the UMB Virus Vector Core (VVC) . His research focuses on molecular and behavioral mechanisms in addiction and depression, particularly through neuronal subtypes in the nucleus accumbens. Education: B.S. in Biology (1999), M.S. in Zoology (2001), PhD in Zoology (2010) from Indian institutions Research spans addiction, depression, optogenetics, striatum biology, and epigenetic regulation , with a strong emphasis on mitochondrial dynamics in neuronal subtypes. His work includes cell-specific transcriptomics, gene therapy vector optimization, and pharmacological interventions in rodent models. Scientific awards include the NARSAD Young Investigator Award and prior research fellowships from the Council of Scientific and Industrial Research, India. He has contributed to mitochondrial gene regulation , neuronal subtype plasticity , and gene therapy core leadership at UMB.
Diego di Bernardo is a Full Professor of Biomedical Engineering at the University of Naples Federico II and Principal Investigator at TIGEM, serving as Coordinator of the Genomic Medicine Program and Head of the Bioinformatics Core. His work bridges engineering and biological sciences to advance disease understanding and therapeutic development. His educational background includes a Laurea cum laude in Electronic Engineering from the University of Naples Federico II (1997) and a PhD in Medical Physics from the University of Newcastle School of Medicine (2001), funded by a European Commission Marie Curie Fellowship. Postdoctoral training followed at the Wellcome Trust Sanger Center and Boston University. Di Bernardo's research integrates Biomedical Engineering, Control Engineering, and Molecular Biology to pioneer Biomolecular Control. His lab develops microfluidics platforms for real-time cellular analysis and computational approaches for gene network reverse engineering and drug repositioning. Current work focuses on single-cell transcriptomics to combat drug resistance in cancer and engineer stress-response pathways for bioproduction optimization. His publication record demonstrates consistent innovation in computational biology, with recent work emphasizing pan-cancer transcriptomics, microfluidics-based cell control, and bioinformatics tool development for pathway analysis. The research trajectory shows increasing integration of engineering principles with genomic medicine. Scientific recognition includes: Marie Curie Fellowship He advises PhD students including Clarissa Poles and Virginia Fusco, leading a multidisciplinary team of postdocs and bioinformaticians. Major funding sources include Telethon, AIRC, Italian Ministries, HFSP, and EU programs such as Re-MEND (2023-2027) for mental health resilience and iPC (2019-2023) for pediatric cures. His TIGEM laboratory operates cutting-edge microfluidics and bioinformatics facilities to engineer living systems, with current projects targeting super-producer cell lines for biological drugs and viral vectors while reducing production costs through stress-response re-engineering.
