Ioannis Milis is a Professor at the Department of Informatics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB). He holds a PhD in Computer Science from AUEB (1989) and a BS in Electrical Engineering from Democritus University of Thrace (1983). As a Marie Curie fellow, he conducted post-doctoral research at LRI Orsay, INRIA-Sophia Antipolis, and NTUA (1992-1996). Education: BS, Electrical Engineering, Democritus University of Thrace (1983) PhD, Computer Science, Athens University of Economics and Business (1989) His research focuses on algorithms and complexity, particularly exact and approximation algorithms for optimization problems in computer/communication systems, combinatorial optimization, graph theory, and game theory. He is a member of AUEB's Theory Group. The recent articles span areas like Scheduling MapReduce jobs , Densest k-subgraph algorithms , Bin packing with colocations , and Speed scaling for lateness minimization . These works emphasize theoretical computer science, optimization, and energy-aware computing. He has contributed to organizing major conferences including the Athens Colloquium on Algorithms and Complexity (ACAC) , ISCO Symposia , and APEX Workshops . His involvement in program committees and research projects under Greek national programs (PENED, HRAKLEITOS II) and AUEB's Basic Research Funding Program highlights his academic leadership. As a teacher, he has delivered courses on Algorithms , Design and Analysis of Algorithms , and Advanced Algorithms at both undergraduate and postgraduate levels at AUEB.
Francisco Díaz Barrancas is a PostDoctoral Researcher at the University of Extremadura, Spain, with affiliations to the Centro Universitario de Mérida. His work spans virtual reality systems, color science, and cybersecurity, supported by international collaborations including the ERC project "Color 3.0" at Justus-Liebig University and research stays in Portugal and Italy. PhD in Real-Time Rendering (UEx, 2022) M.Sc. in Computer Technologies Research (UEx, 2018) B.Sc. in Computer Engineering (UEx, 2017) Research focuses on hyperspectral imaging , color constancy , and VR device optimization , with recent work on neural network training in VR and cybersecurity in immersive environments . Publications span JCR-indexed journals and IEEE conferences , emphasizing perceptually-motivated solutions. Best Poster Award at XIV CONFERENZA DEL COLORE (2018) Teaching experience includes courses in Programming Fundamentals and Multimedia Communication at UEx. Internationally active with research stays at Colour Science Laboratory (Portugal), MIPS LAB (Italy), and ICVS Summer School (UK).
Goran Milić is a Full Professor at the Faculty of Forestry, University of Belgrade, specializing in primary wood processing and hydrothermal wood treatment processes. He holds additional positions as a visiting professor at the Faculty of Forestry, University of Banja Luka, and the Faculty of Mechanical Engineering, University of Zenica in Bosnia and Herzegovina, demonstrating his significant regional academic influence. His educational journey includes: Graduation from the Faculty of Forestry, University of Belgrade in 2001 Master's degree from the same institution in 2006 Doctoral degree completed at the Faculty of Forestry, University of Belgrade in 2011 Professor Milić's research centers on primary wood processing , with particular expertise in hydrothermal wood treatment processes including drying, steaming, and high-temperature treatments. His scholarly work bridges theoretical understanding with practical industrial applications, addressing critical challenges in wood technology such as drying efficiency, quality improvement, and process optimization. He has made substantial contributions to understanding the mechanosorption effect during oscillatory drying, the influence of thermal treatment on wood properties, and optimization of drying processes for various wood species including beech and oak. Analysis of his publication record reveals consistent focus on wood drying technologies, with particular attention to oscillation climates, moisture distribution, and quality assessment across different wood species. His research demonstrates strong interdisciplinary connections between materials science, mechanical engineering, and sustainable forestry practices, often addressing practical industry challenges while advancing theoretical understanding of wood behavior during processing. Professor Milić maintains active scholarly engagement through: Membership on the publishing council of the journal "Drvotehnika" Service on the editorial board of the international journal SEEFOR Participation in scientific committees for international conferences in Sopron (Hardwood Conference 2020) and Ohrid (2017, 2019) Reviewing for top international journals in wood science He has mentored numerous students, serving as advisor for many diploma, final, and master's theses, and participated in evaluation and defense commissions for three doctoral dissertations. Professor Milić has been actively involved in multiple national and international projects including ID:WOOD, FORESDA, bilateral projects, and four COST actions. Notably, he organized the final conference COST FP1407 ModWoodLife at the Faculty of Forestry in 2018, which attracted participants from over 30 countries and 90 attendees. Professor Milić maintains strong industry connections, having conducted numerous studies and projects for wood industry companies and currently serving as a consultant for two large wood industry companies. His professional development includes training in Austria (Muelboeck company; Salzburg University of Applied Sciences), Germany (Johann Heinrich von Thünen Institute), and Finland (Luke Institute). Through the Erasmus+ program, he has served as a visiting professor in Slovenia (InnoRenew Institute, Koper) and Austria (Salzburg University of Applied Sciences), further expanding his international academic network.
Maria Tchernycheva is a Directrice de recherche CNRS at the Center of Nanosciences and Nanotechnologies (C2N) in Palaiseau, Université Paris-Saclay. She holds a PhD in physics from Université Paris Sud (2005) and has over 120 peer-reviewed publications. Her work focuses on semiconductor nanowire fabrication and optoelectronic device development. PhD: Université Paris Sud (2005) Education: Ecole Polytechnique (X98) Her research explores flexible optoelectronics using III-nitride nanowires for LEDs, solar cells, and piezosensors. Key innovations include polymer-embedded nanowire membranes and silver nanowire electrodes enabling bendable devices. She investigates electron beam induced current (EBIC) microscopy and cathodoluminescence (CL) for nanowire property analysis. Project highlights include the ERC-funded NanoHarvest initiative, which achieved bi-color flexible LEDs with InGaN/GaN heterostructures. Her team demonstrated stretchable transparent LEDs and high-efficiency piezogenerators with GaN nanowire arrays. She also pioneered selective area epitaxy on graphene nanodots for van der Waals integration. Madeleine Lecoq Award (2006) ERC Starting Grant (2014) Her NanoHarvest project team included 4 PhD candidates and 3 postdocs, with collaborations across institutions like Université Paris-Sud and CNRS. She has extensively published on surface charge effects and nanowire heterostructure optimization , with recent works spanning quantum-dot lasers and advanced passivation techniques.
Prof. Dr.-Ing. Martin Bastian serves as Professor of Polymer Materials Technology at the University of Würzburg's Faculty of Chemistry and Pharmacy since 2011, concurrently directing SKZ – The Plastics Center in Würzburg since 2006. Leading approximately 450 employees with over 40 million € annual turnover, his work bridges academic research and industrial plastics innovation through state-of-the-art facilities. His educational foundation includes: 1982-1985: Toolmaker training (final grade: 1.0) 1987-1989: Mechanical engineering specialization in construction (final grade: 1.2) 1991-1996: Mechanical engineering with plastics focus at University of Paderborn (final grade: 1.5) 1996-2000: Doctorate on polymer blend morphology in twin-screw extruders (with honors) Bastian's research drives advancements in plastics processing across compounding, extrusion, injection molding, additive manufacturing, and sustainability. His work leverages industrial-scale pilot plants and specialized analytical laboratories to enhance product safety and manufacturing efficiency, with particular emphasis on component properties, joining technologies, and measurement systems for polymer applications. Publication trends from 1999-2010 reveal consistent focus on optimizing plastics processing through extrusion and compounding methodologies. His research progressively integrated advanced monitoring techniques like THz spectroscopy and infrared microscopy, demonstrating evolution from fundamental morphology studies toward real-time industrial process control and sustainability considerations. Scientific recognition includes: Doctoral graduation with honors (2000) Authoritative book publication on plastics coloring (2010) As active reviewer for DFG and AiF, Bastian contributes to research funding evaluation while maintaining industrial partnerships. His leadership extends to curatorships at Fraunhofer ISC and DKI, plus board membership at Iron Library Foundation, reflecting deep integration of academic and industrial plastics ecosystems. At SKZ, Bastian oversees comprehensive facilities including compounding, extrusion, injection molding, additive manufacturing, welding, and bonding pilot plants alongside chemical, thermal, mechanical, and rheological testing laboratories. These industry-oriented resources enable practical development of next-generation plastics production technologies.
Dongil Han is a Professor in the Department of Computer Engineering at Sejong University, where he has been since 2003. He has also held administrative roles, including Dean of the Office of Library and Informations (2021–present) and Dean of the College of Software Convergence (2020–2021). Education : B.S. (1988) from Korea University M.S. (1990) and Ph.D. (1995) from KAIST Han’s research focuses on Computer Vision , Deep Learning , and Visual Recognition , with notable work on neural network architectures, hardware design for face detection, and AI applications in plant pathology. His recent publications highlight advancements in out-of-distribution detection, vision transformers, and drone-based infrastructure inspection. His research output (92+ publications) spans Deep Learning Methods , Face Detection , Hardware Architecture , and Field Programmable Gate Arrays . He has contributed to color correction techniques for visual impairments and CNN models inspired by the human visual cortex.
Abigail Aiken serves as Associate Professor of Public Affairs and Fellow of the Richter Chair in Global Health Policy at The University of Texas at Austin's College of Liberal Arts. She teaches undergraduate courses including Sex/Society: Soc, Bio, Pol across multiple semesters (2021-2025). Education: MD, Cambridge University MPH, Harvard University PhD, The University of Texas at Austin Research Focus: Dr. Aiken's work centers on reproductive health policy with emphasis on abortion access , self-managed medication abortion , and telemedicine implementation in restrictive legal environments. Her research examines patient experiences, policy impacts (particularly post-Dobbs), and healthcare system adaptations through mixed-methods approaches combining epidemiological analysis with qualitative patient narratives. Publication Trends: Recent scholarship demonstrates escalating focus on self-managed abortion safety (2022-2024), telemedicine adaptation to shield laws (2024-2025), and quantitative analysis of policy impacts following Roe's overturning. Her work consistently bridges clinical outcomes with policy analysis across 40+ publications since 2022. Scientific Recognition: Richter Chair in Global Health Policy Fellowship David N. Kershaw Award for policy-relevant reproductive health research Professional Context: Dr. Aiken operates at the critical intersection of clinical practice, policy advocacy, and academic research. Her work directly informs legislative debates through rigorous evidence generation while maintaining active clinical engagement via telemedicine platforms. Current efforts focus on developing sustainable care models for the post-Roe landscape with particular attention to vulnerable populations.
Antar Bandyopadhyay is a Professor at the Theoretical Statistics and Mathematics Division of the Indian Statistical Institute (ISI), currently serving as Head of the Delhi Centre (May 01, 2023 - present). He has previously served as Professor-in-Charge of the Theoretical Statistics and Mathematics Division (September 18, 2020 - September 17, 2022). His academic journey includes a Ph.D. in Statistics from the University of California, Berkeley (2003), postdoctoral studies at the Institute for Mathematics and Its Applications (University of Minnesota) and Chalmers University of Technology (Sweden). Professor Bandyopadhyay's research focuses on theoretical and applied probability, with emphasis on discrete problems arising from combinatorics, statistical physics, and computer science. His specific interests include random graphs, probability on trees, combinatorial optimization, recursive distributional equations, branching random walks, percolation theory, interacting particle systems, Markov chains, random walks in random environments, and urn models. His work demonstrates a strong connection between theoretical developments and applications in various scientific domains. Analysis of his recent publications reveals a consistent focus on probability theory with particular emphasis on urn models, branching random walks, and random processes on graphs and trees. His research shows a progression from foundational work on recursive distributional equations to more complex applications in network theory and statistical physics. The publications demonstrate significant contributions to theoretical probability with practical implications in fields such as epidemiology, combinatorial optimization, and stochastic geometry. Outstanding Graduate Student Instructor Award from UC Berkeley (2002) Teaching Effectiveness Award from UC Berkeley (2002) Professor Bandyopadhyay has supervised multiple Ph.D. students including Deborshi Das (expected 2026), Partha Pratim Ghosh (2022), Gursharn Kaur (2018), Debleena Thacker (2015), and Farkhondeh Sajadi (2013). He has also guided M.Stat. dissertation students including Somak Laha (2021-2022) and Subhabrata Sen (2012-2013). His collaborative work spans numerous institutions including UC Berkeley, Chalmers University, and various Indian Statistical Institute centers.
Dr. Alexander Kupfer is a researcher and curator in the Department of Herpetology at the State Museum of Natural History Stuttgart. With a career spanning over two decades, he has held academic positions at the University of Potsdam (2011-2013), University of Siegen (2010-2011), and Friedrich-Schiller University Jena (2007-2010). Current role: Researcher & Curator, Herpetology (since 2014) Past roles: Interim Professor at University of Potsdam, Lecturer at University of Siegen, Postdoc at Natural History Museum London Research Interests: Dr. Kupfer specializes in the evolutionary biology and reproductive ecology of amphibians and reptiles, focusing on: Evolution of parental care and skin-feeding in caecilian amphibians Sexual size dimorphism and its ecological implications Phylogenetic analysis of amphibian lineages Application of micro-CT, histochemistry, and stable isotope analysis Ecology of herpetofauna in Southwestern Germany Recent Publications: His work spans 20 years, with a focus on caecilian amphibians (Ichthyophis, Geotrypetes, Siphonops), reproductive strategies, and ecological adaptations. Key trends include: Comparative studies of oviparous and viviparous species Analysis of trophic ecology using stable isotopes Evolution of cloacal anatomy and sperm storage Demographic studies linking growth patterns to conservation Phylogenetic investigations of Indian and Southeast Asian caecilians Methodologies: Integrates scanning electron microscopy, micro-CT, histochemistry, and stable isotope analysis (δ15N) with field studies. His work on parental care in Boulengerula taitanus highlights evolutionary transitions toward viviparity. Collaborations: Works with institutions in Germany, Thailand, Bolivia, and the UK. Affiliated with research teams studying tropical ecosystems, European newt populations, and caecilian phylogeny.
Patrik Höstmad is an Associate Professor in Applied Acoustics at Chalmers University of Technology, Sweden. His work is centered on the broad domain of sound and vibration, with applications spanning vehicle acoustics, environmental noise, urban planning, and ground-borne vibrations. He is actively involved in both research and teaching, with a strong publication record and leadership roles in multiple national and international projects. Education: While specific degrees are not listed in the provided text, his extensive publication record from 2000 onwards, including a doctoral dissertation in 2005 titled "Modelling Interfacial Details in Tyre/Road Contact — Adhesion Forces and Non-Linear Contact Stiffness," indicates advanced academic training in acoustics and mechanical engineering. Research Interests: His research encompasses: Vehicle acoustics and ride comfort Environmental noise and urban sound planning Ground-borne noise from railways and infrastructure Tyre/road interaction and noise generation Aeroacoustics and high-speed train noise Human perception of sound and vibration Acoustic simulation and auralisation tools Publication Trends: His recent publications (2020–2025) focus heavily on the integration of sound and vibration in urban and automotive contexts. Topics include the development of frameworks for predicting railway noise, ride comfort in electric vs. combustion vehicles, and the use of simulation tools for urban noise visualization. Earlier work delved into detailed modeling of tyre/road contact mechanics and high-frequency sound fields. Projects & Funding: He has led or co-led 11 major research projects since 2011, funded by agencies such as the Swedish Transport Administration (Trafikverket), VINNOVA, the Swedish Research Council (VR), and the European Space Agency. These projects address pressing issues like urban noise pollution, sustainable transport, and infrastructure vibration control. Collaborations: He collaborates extensively with researchers across disciplines, including human factors engineering, fluid dynamics, architecture, and urban planning. Notable collaborators include Jens Forssén, Xiaojuan Wang, Anna-Lisa Osvalder, and Niklas Andersson.
Synge Todo is a Professor in the Department of Physics, Graduate School of Science at the University of Tokyo , with joint appointments at the Mathematics and Informatics Center , Institute for Solid State Physics , Institute for Physics of Intelligence , Quantum Software Project , and Next-Generation AI Research Center . Born in 1968, he earned his B.Sc. and Ph.D. from the University of Tokyo and subsequently held post-doctoral positions at ETH Zürich. Education Ph.D. (Science), University of Tokyo, 1996 B.Sc. (Physics), University of Tokyo, 1991 Research Interests Todo’s research integrates quantum many-body physics , computational physics , and quantum computing . He develops advanced Monte-Carlo algorithms , tensor-network techniques , and renormalization group methods to study strongly correlated electron systems , lattice QCD , quantum phase transitions , and machine-learning applications in physics . His recent work explores fault-tolerant quantum computing architectures , non-variational quantum ground-state preparation , and universal scaling laws in deep neural networks . Scientific Awards Prizes for Science and Technology, The Commendation for Science and Technology by MEXT Japan (April 2019) Grants & Collaborations He currently leads several JSPS KAKENHI projects, including “ Quantum-circuit design for computational materials science ” (2023-26) and “ Enhancement of detailed-balance-violating MCMC methods ” (2020-24). He also co-leads interdisciplinary teams focusing on data assimilation for materials discovery and scalable high-performance computing . Laboratories & Software Todo heads research activities in the HΦ quantum lattice model solver and the MateriApps portal, providing open-source tools for large-scale simulations in condensed-matter and materials science.
Takuma Yogo is an Associate Professor at Waseda University's Faculty of Human Sciences , with additional affiliations at the Global Education Center . Holding a Master of Arts from Waseda University, his work bridges Archaeology , Cultural Anthropology , and Folklore through ethnoarchaeological , experimental , and cross-cultural approaches. Research Focus : Ceramic Technology across Japan and Southeast Asia Traditional Craft Systems in Kyoto (Kyo-yaki pottery) Medical Anthropology of atopic conditions Community Dynamics in festival organizations Heritage Studies through 3D kiln modeling Academic Contributions span three decades, with recent work analyzing ceramic production in historical texts like the Engi Shiki , tourism impacts on traditional crafts during the pandemic, and technological transitions in Japanese kiln practices. His experimental archaeology program with paddy fields and phytolith analysis connects prehistoric agricultural studies to modern challenges. Teaching Impact : Graduate courses on technological anthropology Undergraduate seminars on ethnographic methods Contributions to research ethics and environmental history Funding Achievements include multiple Japan Society for the Promotion of Science grants for: Kyo-yaki pottery heritage studies (2018-2022) Cross-cultural dialog programs (2010-2012) Archaeological essentialism (2003-2005) International Collaboration : 8th World Archaeological Congress ⅩⅨ INQUA Congress Joint Japan-Philippines-Indonesia fieldwork
Siya BAO is an Assistant Professor at Waseda University's Faculty of Science and Engineering, focusing on quantum computing applications in combinatorial optimization and geospatial information processing. Currently affiliated with the Green Computing Systems Research Organization, her work bridges theoretical computer science with practical implementations in travel planning, indoor localization, and financial forecasting. Key research interests include: Quantum Computing Geospatial Information Processing Text Mining Based on 15 recent publications, her research trajectory demonstrates: Quantum annealing solutions for multi-day trip planning Machine learning applications in financial time series analysis Advancements in smartphone-based pedestrian dead reckoning Innovations in QUBO model formulation for constrained optimization Scientific recognition includes: DICOMO 2023 Outstanding Paper Award IEEE ICSC 2020 Best Student Opponent 2017 Telecommunications Advancement Foundation Travel Aid Research activities span: Principal investigator for JSPS-funded geospatial optimization projects (2021-2024, 2024-2027) Contributing author to Springer's 'Machine Learning for Indoor Localization and Navigation' (2023) Extensive conference presentation history including IPSJ-ONE 2024 invited talk on quantum computing applications
Josef Ström Bartunek serves as a Senior Lecturer in the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden, where his research centers on systems engineering with specialized focus in biometric image analysis and computer vision. Education PhD in Systems Engineering, Blekinge Institute of Technology (2016) - Dissertation: FINGERPRINT IMAGE ENHANCEMENT, SEGMENTATION AND MINUTIAE DETECTION Research Focus Dr. Bartunek's work spans biometrics (fingerprint/iris recognition), forensic image analysis, and industrial computer vision. His fingerprint enhancement algorithms address noise reduction and feature extraction challenges, while recent research extends to surface topography analysis in manufacturing quality control. The VISIR open lab platform publications demonstrate his secondary interest in remote engineering education technologies. Publication Trends His 15 most recent publications (2004-2020) reveal an evolution from core biometric algorithm development (2004-2013) toward industrial applications (2016-2020). Early work centered on fingerprint minutiae extraction and neural network applications, while post-2016 research increasingly addresses forensic image resolution and manufacturing process monitoring through camera-based systems. Scientific Awards No scientific awards or fellowships were documented in the available sources. Advising and Grants No information regarding graduate student supervision, research grants, or funded projects was provided in institutional records. Laboratory Affiliations No specific laboratory teams or research groups were mentioned in the current affiliation details.
Dr. George B. Mertzios is an Associate Professor at the Department of Computer Science, Durham University , UK. His career spans roles including Senior Lecturer (2015-2017) and Lecturer (2011-2015) at Durham, with additional positions as an Invited Assistant Professor at LaBRI, University of Bordeaux/CNRS, France (2012), and postdoctoral research fellowships at the University of Haifa and Technion, Israel (2010-2011). He earned his PhD in Computer Science from RWTH Aachen University (2009) and a Diplom in Mathematics from Technische Universität München (2005). Education PhD in Computer Science, RWTH Aachen University, 2009 Diplom in Mathematics (minor in Computer Science), Technische Universität München, 2005 Research Interests focus on efficient algorithms and computational complexity in temporal graphs , with significant contributions to dynamic network optimization , evolutionary graph theory , and parameterized complexity . His work bridges combinatorial optimization , algorithmic game theory , and intersection graph models . Scientific Activities include organizing Co-Chair of the PC for SAND 2026 Co-Organizer of Dagstuhl Seminar 26251 (2026) Organizer of the Algorithmic Aspects of Temporal Graphs workshops (2018-2025) His 15 most recent articles (2025-2021) address problems in temporal graph realization , dynamic network optimization , Hamiltonian cycles , and epidemic control on temporal networks , published in top venues like Theoretical Computer Science , Journal of Computer and System Sciences , and Algorithmica . Scientific Awards include a Gold Medal in the 1998 Balkan Mathematical Olympiad, Distinguished Diploma in the 1998 Bulgarian National Mathematical Competition, and Best Paper Awards at ALGOWIN 2025 and ICALP 2010 Track C. Research Supervision includes advising PhD students: David Fairbairn (in progress), David Kutner (2025), Nina Klobas (2024), Charles Murray (2021), Sepehr Meshkinfamfard (2016), Ioannis Lignos (2016) Postdoctoral researchers: Christoforos Raptopoulos (2020), Viktor Zamaraev (2017-2019), André Nichterlein (2016-2017), Archontia Giannopoulou (2014-2015), Konrad Dabrowski (2012-2013) Grants led include EPSRC grants EP/P020372/1 (2017-2020) on algorithmic aspects of temporal graphs and EP/K022660/1 (2013-2015) on intersection graph models. He also contributed to the EU IP MULTIPLEX (2012-2016).
