Mohammad Peydayesh is a Lecturer and Senior Researcher at the Department of Health Sciences and Technology , ETH Zürich. He works in the Food and Soft Material Laboratory , focusing on sustainable materials derived from food waste and agri-food byproducts. PhD in Chemical Engineering (2018, Iran University of Science and Technology) Postdoctoral Fellow at ETH Zürich under Prof. Dr. Mezzenga Senior Assistant at ETH Zürich since 2021 His research spans soft matter , self-assembly phenomena , and amyloid fibril applications in: Environmental engineering (water purification, heavy metal removal) CO2 conversion and storage Smart packaging and bioplastics development Biorefinery concepts and circular economy Nanomaterials for waste valorization Recent publications highlight trends in amyloid-based hybrid materials for: Metal recovery from e-waste and contaminated water CO2 capture and conversion Bioplastic production from agricultural waste Antiviral and detoxification applications Water desalination and purification Photonic and catalytic materials He contributes to the Laboratory of Food & Soft Materials , advancing sustainable solutions through interdisciplinary material science.
Stephen Bach is an Assistant Professor in the Computer Science Department at Brown University, where he leads the BATS (Bach's Awesome Team of Students) research group. His research focuses on improving how humans teach computers through programmatic weak supervision and methods for learning from fewer examples like zero-shot and few-shot learning. His primary research interests include weak supervision, data programming, probabilistic soft logic (PSL), statistical relational learning (SRL), information extraction, zero-shot learning, and few-shot learning. Bach's work often focuses on exploiting high-level, symbolic or semantically meaningful domain knowledge, with applications in information extraction, image understanding, scientific discovery, and data science. Bach's recent publications show a strong focus on language models, weak supervision techniques, and multimodal learning, particularly examining the capabilities and limitations of models like CLIP. His research has increasingly emphasized practical applications in low-resource settings and cross-lingual scenarios. Best Paper Award at NeurIPS Workshop on Socially Responsible Language Modelling Research (SoLaR) 2023 Larry S. Davis Doctoral Dissertation Award Selected for oral presentation at ICLR 2024 Best of VLDB 2018 paper selection Bach advises numerous Ph.D., Master's, and undergraduate students, many of whom have gone on to positions at leading tech companies, research institutions, and graduate programs. His research group has developed several influential frameworks including Snorkel (for weak supervision), PSL (Probabilistic Soft Logic), T0 (for zero-shot task generalization), ZSL-KG (for zero-shot learning with knowledge graphs), TAGLETS (for semi-supervised learning with auxiliary data), and WISER (for programmatic weak supervision in sequence tagging).
Satish Nambisan is the Nancy and Joseph Keithley Professor of Technology Management at the Weatherhead School of Management, Case Western Reserve University, where he also serves as Faculty Director of the Online MBA in Product Management. His academic leadership spans innovation management, entrepreneurship, and digital globalization research. Doctor of Philosophy, Syracuse University (1997) Master of Business Administration, XLRI - Xavier School of Management (1989) Bachelor of Technology, Calicut University (1987) Nambisan's research focuses on how digital technologies shape innovation and value creation in global business contexts. His work examines digital entrepreneurship, innovation ecosystems, and the transformation of multinational corporations in the digital age. He investigates how AI and other digital technologies are reshaping global innovation processes and value creation mechanisms across diverse organizational settings. His recent publications reveal a strong emphasis on digital globalization, AI's role in innovation, entrepreneurial ecosystems, and the strategic challenges facing multinational corporations in a digitally connected world. The research demonstrates interdisciplinary connections between technology management, international business, and entrepreneurship literature. Scientific Awards: Axiom 2023 Business Book Award (Gold Medal) for 'The Digital Multinational: Navigating the New Normal in Global Business' Web of Science-Clarivate Highly Cited Researcher for cross-field impact (2022) Web of Science-Clarivate Highly Cited Researcher for economics & business (2023) Martin J. Whitman Distinguished Ph.D. Alumni Award from Syracuse University (2006) Nambisan actively engages with the business community as a sought-after speaker and consultant, having advised major organizations including Microsoft, 3M, P&G, SAP, and the Federal Reserve Bank of St. Louis. His editorial leadership includes serving as Field Editor at the Journal of Business Venturing and Department Editor at Management and Business Review, reflecting his significant influence in academic publishing.
Krishna Gummadi is a Scientific Director and Professor at the Max Planck Institute for Software Systems (MPI-SWS) in Germany, where he leads the Networked Systems Research Group. He also holds a professorship at the University of Saarland, demonstrating his dual commitment to research and academic instruction in computer science. His educational background includes: Ph.D. in Computer Science and Engineering from the University of Washington (2005) B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Madras (2000) Gummadi's research spans networked and distributed computer systems with a current focus on social computing systems. His work addresses critical challenges in algorithmic fairness, privacy in social media, trustworthiness of online identities, and information dissemination in social networks. He approaches these problems through interdisciplinary methods combining user-centric studies, data-centric analysis, and systems-centric design to create practical solutions that enhance fairness, transparency, and user control in online platforms. His methodology integrates large-scale observational studies, computational modeling, and system implementation to tackle complex human-computer interaction challenges at societal scale. His recent publications reveal a strong emphasis on fairness in algorithmic decision making, with significant contributions to quantifying and addressing discrimination in machine learning systems. His work bridges computer science, social science, and ethics, creating frameworks for fair classification, understanding media bias, and developing privacy-preserving techniques that maintain functionality while protecting user data. The research demonstrates a progression from technical system design to addressing societal implications of computing systems. Among his notable scientific achievements: ERC Advanced Grant in 2017 for 'Foundations for Fair Social Computing' Test of Time Awards at ACM SIGCOMM and AAAI ICWSM Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards IW3C2 WWW Best Paper Honorable Mention Multiple Best Paper awards across prestigious conferences Gummadi has advised numerous PhD students and postdoctoral researchers who have gone on to prominent positions in academia and industry. His ERC Advanced Grant has supported extensive research into fair social computing, while his leadership in major conferences (including serving as General Chair for ICWSM 2016 and Program Chair for WWW 2015) has shaped research directions in the field. His teaching portfolio includes courses on Distributed Systems, Human-Centered Machine Learning, and Social Media Analysis. He leads the Networked Systems Research Group at MPI-SWS, which has developed several publicly available systems including tools for fair classification, privacy risk assessment, trust evaluation in social media, and information diet management. The group's work bridges theoretical advances with practical implementations that address real-world challenges in social computing, with numerous software releases and datasets made available to the research community.
Emmett Witchel is a Professor of Computer Science at the University of Texas at Austin , with research spanning computer architecture, systems, networking, security, and privacy . His work focuses on low-level systems optimization and secure concurrent execution. Research Interests: Concurrent systems, secure execution environments, GPU integration, distributed systems. Teaching: CS 380L (Advanced Operating Systems), CS 371M (Mobile Computing). Scientific Awards: Runner-up Best Paper, ASPLOS 2013 Runner-up Award for Outstanding Research, USENIX Symposium 2012 IEEE Micro Top Pick Award 2007 ACM Honorable Mention 2004 George M. Sprowls Award, MIT EECS 2004 Recent Publications demonstrate leadership in CXL pod databases ( Tigon ), stateful serverless computing ( Boki ), SmartNIC-accelerated file systems ( LineFS ), and GPU security ( Telekine ). His work bridges hardware-software co-design and practical systems implementation.
Prof. Dr. rer. nat. Lothar Elling is a University Professor and director at the Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Germany. His research focuses on biomaterials, glycoengineering, and enzymatic synthesis of carbohydrates and glycoconjugates. Institution: RWTH Aachen University Research Unit: Helmholtz Institute for Biomedical Engineering Academic Rank: Full Professor Prof. Elling's research interests include: Glycoengineering of biomaterials Enzymatic synthesis of glycans Glycosyltransferase immobilization Glycan-protein interactions Biocatalytic cascade reactions Biomedical applications of glycomaterials His recent publications demonstrate strong expertise in: - Automated enzymatic glycan synthesis - Multi-enzyme cascade systems for nucleotide sugar production - Glycosyltransferase engineering - Galectin-targeted glycomaterials - Microgel-based biosensors
Dr. Joseph Dumpler is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, specializing in Sustainable Food Processing. He holds a PhD in Dairy Science and Technology from the Technical University of Munich, Weihenstephan, with a focus on UHT treatment of concentrated milk. His work emphasizes advancing food processing technologies, particularly in protein refinement, non-thermal methods, and membrane filtration. Educations: PhD in Dairy Science and Technology, Technical University of Munich, Weihenstephan (2017) MSc Food Engineering, Technical University of Munich, Weihenstephan His research interests include Natural Deep Eutectic Solvents (NADES) for plant protein extraction, microwave vacuum drying of dairy products, and membrane filtration optimization for microalgae and dairy systems. He has pioneered methods to refine rapeseed and pea proteins while minimizing antinutrients, and his work on microfiltration of milk products addresses emerging microbial risks. Key contributions span kinetic modeling of heat-induced protein aggregation, sustainable food processing , and non-thermal concentration techniques . His articles reflect a focus on bridging lab-scale innovations with industrial applications. Awards: J.T.M. Wouters Young Scientist Award Julius Maggi Research Award (2018) Best PhD Thesis Award from the Association of Dairy, Food and Biotechnologists (Weihenstephan) Dr. Dumpler collaborates with industry partners to translate research into scalable processes, such as NADES-based protein extraction and microwave drying systems. His current role at ETH Zürich’s Sustainable Food Processing Lab (Prof. Mathys) focuses on plant-based meat analogs and novel protein refining concepts .
Professor David Sarpong is a leading academic in Strategy and Organisation at Aston Business School, part of Aston University's College of Business and Social Sciences. He currently serves as Head of the Marketing and Entrepreneurship Department and Director of Research for the Marketing and Strategy Subject Group. His research focuses on strategy-as-practice, relationalism, innovation management, and temporality in organizational processes. He holds adjunct roles at KNUST Business School and Bristol Business School, and is actively involved in professional organizations like EURAM and CABS. His work employs qualitative methods including ethnographic interviews and microstoria approaches. Professional Activities: He serves as Editor-in-Chief of the Journal of Strategy and Leadership, and on editorial boards for Technology Analysis & Strategic Management and European Management Journal. His external roles include UK Country Representative for EURAM and Board Membership at The Milestones Trust. He has held prior academic leadership positions at Brunel University London and visiting roles at HSE Moscow and University of KwaZulu-Natal. Research Interests: Prioritizes cross-level management problems using Heideggerian-Wittgensteinian frameworks. Key themes include second-order technology management, business tournament rituals, strategic foresight, and discursive practices in European cosmopolitan marketplaces. Methodologically innovative in combining narratives, digital datasets, and performative routines analysis. Collaborations: Active in global research networks with scholars across Africa, Europe, and Asia. Recent work addresses mining-industry partnerships, gender dynamics in extractive economies, and ethical dimensions of corporate governance. His research outputs number over 110 publications in top journals like Technovation and Journal of Business Research. Awards/Affiliations: Recognized through editorial leadership roles and visiting professorships. His research has policy implications for sustainable development, innovation ecosystems, and organizational resilience in global contexts.
Bruno Klein is a Researcher at the National Renewable Energy Laboratory (NREL) working in the Economic Sustainability & Market Analysis group within the Catalytic Carbon Transformation and Scale-Up Center. His expertise lies in techno-economic analysis (TEA) and life cycle assessment (LCA) for biomass conversion pathways to biofuels and bioproducts. Bruno's educational background includes: PhD in Chemical Engineering from State University of Campinas Master's in Chemical Engineering from State University of Campinas Bachelor's in Chemical Engineering from Federal University of Rio Grande do Sul Bachelor's in Multidisciplinary Engineering from École centrale de Lille His research spans conceptual process design, process integration, and sustainability assessment of biomass conversion technologies. Bruno specializes in biochemical conversion pathways with particular focus on algal biomass production and conversion systems. His work integrates techno-economic analysis with environmental impact assessment to evaluate the viability of emerging bioenergy technologies. Recent projects examine microalgae cultivation systems, sustainable aviation fuels, and ethanol production pathways from biomass feedstocks. Bruno's publication record shows consistent output with 29 research contributions between 2020-2025, demonstrating increasing productivity over time. His work addresses critical challenges in environmental sustainability metrics including greenhouse gas emissions, water usage, and land impacts while maintaining economic viability considerations. As an active member of the American Institute of Chemical Engineers (AIChE), Bruno contributes to the professional community in chemical engineering and renewable energy research.
Professor Bradley D Eyre is a leading academic at Southern Cross University, serving as a Professor in the Faculty of Science and Engineering and as the Foundation Director of the Centre for Coastal Biogeochemistry (CCB). His work spans the land-ocean continuum, with a focus on carbon and nitrogen biogeochemistry in coastal and estuarine systems under global change pressures. Education: BAppSc(Hons), University of Adelaide PhD, Queensland University of Technology His research centers on ecosystem-scale biogeochemical processes, particularly the impacts of climate change, ocean acidification, and eutrophication on greenhouse gas emissions and carbonate dynamics. He employs multi-scale approaches, from field measurements to global modeling. His recent work highlights how methane and nitrous oxide fluxes alter the climate benefit of blue carbon ecosystems and how ocean acidification drives net dissolution of coral reef sediments. An analysis of his recent publications reveals a strong focus on quantifying greenhouse gas fluxes in aquatic systems, with an emphasis on upscaling methods, geomorphic controls, and climate feedbacks. His work frequently appears in high-impact journals such as Nature , Science , and Nature Climate Change , reflecting broad disciplinary influence in environmental science, biogeochemistry, and climate research. Scientific Awards and Recognitions: Fellow, Association for the Sciences of Limnology and Oceanography (ASLO), since 2018 Member, ARC College of Experts, since 2022 Deputy Chair, 2024 MPCE DECRA Panel Professor Eyre has supervised 32 PhD students to completion and currently mentors 13 more, in addition to 22 early- and mid-career researchers. His research has attracted over $20 million in funding, including 32 ARC grants (>$10 million), 11 ARC Linkage projects (> $7.5 million), and over $3 million in contract research. His collaborations span federal and state agencies, local governments, private sector partners, and multiple universities across Australia and internationally, demonstrating extensive impact on policy and practice. He leads the Centre for Coastal Biogeochemistry, which played a key role in securing SCU’s ERA Rank 5 (well above world standard) in Geochemistry. His team conducts interdisciplinary research on coastal carbon cycling, sediment dynamics, and climate change impacts, contributing significantly to national and global environmental assessments.
Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.
Tingliang Huang holds concurrent roles as the Amazon Distinguished Professor of Business Analytics at the University of Tennessee's Haslam College of Business and Honorary Professor at the UCL School of Management. He earned his PhD from Northwestern University's Kellogg School of Management. His research focuses on business analytics, AI-driven strategies, supply chain optimization, and behavioral operations, with notable contributions to Marketing Science, Management Science, and Production and Operations Management. Affiliations: Amazon Distinguished Professor, Haslam College of Business, University of Tennessee Honorary Professor, UCL School of Management Former tenured Associate Professor at Boston College's Carroll School of Management Education: PhD in Management, Kellogg School of Management, Northwestern University (2011) M.S. and B.S. from University of Science and Technology of China (USTC) Research Interests: Huang’s work bridges analytics and operations, exploring topics like opaque selling, bounded rationality in consumer decisions, supply chain dynamics, and sustainable operations. He has pioneered frameworks for probabilistic selling and dynamic pricing under uncertainty. His interdisciplinary approach integrates behavioral economics and big data analytics. Publications: Over 20 peer-reviewed articles in top journals, emphasizing service systems, supply chain strategy, and marketing-operations interfaces. Recent work explores AI's societal impacts and algorithmic targeting in vertical markets. Awards: 2025 Vallett Family Outstanding Researcher Award 2018 POMS Wickham Skinner Early Career Award 2015 POMS Best Paper Award Multiple Meritorious Service Awards (M&SOM, Management Science) Editorial Roles: Senior Editor at Production and Operations Management, Associate Editor at Manufacturing & Service Operations Management, Decision Sciences, and others. He also serves on editorial review boards for leading journals. Teaching & Mentorship: Award-winning educator recognized as Carroll School Teaching Star (2021). Advises doctoral students at UCL, UTK, and Chinese institutions, with placements at top schools like George Mason University and USTC. Labs & Teams: Leads the Business Analytics PhD Program at UTK and collaborates on AI ethics research through cross-institutional projects.
Dimitrios Tsaoulidis is a Senior Lecturer in Chemical Engineering at the University of Surrey and an Honorary Lecturer at University College London . He holds a PhD in Chemical/Nuclear Engineering and a Diploma in Chemical Engineering. University roles: Academic Integrity Officer, Senior Personal Tutor, Disability & Neurodiversity Representative Research spans clean energy (nuclear, bio, solar), healthcare (bioprocess scalability), and manufacturing using process intensification and microfluidics . His work combines experimental investigation , CFD simulations , and scale-up optimization for multiphase reactors . Notable research trends include: 15+ publications (2012–2023) on uranium extraction , biodiesel production , and pharmaceutical microfluidics , with grants from UKRI and Innovate UK . Scientific Awards : David Newton’s Award for Sustainability (UCL) Springer Thesis Award Fellow of the Higher Education Academy (FHEA) Associate Member of the Institution of Chemical Engineers (AMIChemE) Research Collaborations : Academic : Prof Panagiota Angeli (UCL), Prof Eric Fraga (UCL), Dr Maryam Parhizkar (UCL) Industrial : UK Atomic Energy Authority, National Nuclear Laboratory, GSK, Greenergy Ltd, Armfield Dr Tsaoulidis supervises PhD students (e.g., Mustapha Hamdan, Anna Tsitouridou) and PDRA staff (e.g., Dr Jamshid Zarkesh) in projects related to solar energy systems , nuclear fuel cycles , and pharmaceutical automation .
Yiming Yang is a Professor at the Language Technologies Institute and Machine Learning Department within the School of Computer Science at Carnegie Mellon University , where he has held faculty positions since 2003. His research spans foundational and applied aspects of machine learning , artificial intelligence , and scientific computing . Professor, Carnegie Mellon University (2003–Present) Associate Professor, Carnegie Mellon University (1996–2003) Yang's research focuses on LLM-based problem-solving agents , combinatorial optimization , and scalable oversight frameworks . His work explores diffusion models, Langevin dynamics, and Fourier neural operators for NP-hard problems, while advancing reinforcement learning techniques for self-play supervision and principle-driven fine-tuning of large language models. Recent publications highlight his contributions to code synthesis , PDE solving , and multi-agent reinforcement learning . Key methodologies include demonstration-guided control, retrieval-augmented reasoning, and test-time scaling laws. His team has developed frameworks like FEEDER for efficient in-context learning and μTransfer-FNO for zero-shot hyperparameter transfer in PDE solvers. Notable scientific achievements include: Best Student Paper Runner Up (2013) Best Theoretical Paper Award (1994) Best Theoretical Paper Award (1993) Yang has mentored over 20 PhD students and postdocs, including Shengyu Feng , Zhiqing Sun , and Aman Madaan , across domains like graph learning , extreme multi-label classification , and language model alignment .
Wiebe M. de Vos is a Full Professor at the MESA+ Institute, University of Twente, where he leads research in advanced membrane technologies. His work bridges fundamental polymer chemistry and practical applications in water treatment and sustainability. Full Professor, MESA+ Institute, University of Twente His research focuses on membrane science, particularly polyelectrolyte multilayer systems, nanofiltration, and sustainable material design. He investigates how surface chemistry, phase separation, and polymer interactions influence membrane performance in complex aqueous environments. His work addresses critical challenges such as nanoplastics removal, salinity management, and micropollutant degradation. The recent publications highlight a strong trend in developing next-generation membranes with enhanced stability, selectivity, and environmental compatibility. His team explores pH-responsive systems, biocatalytic membranes, and scalable fabrication methods, contributing significantly to both academic knowledge and industrial applications in water purification. No scientific awards were mentioned in the provided text. Dr. de Vos has supervised 22 academic works, indicating active mentorship of Master’s and PhD students. While specific grants are not detailed, his extensive research output and dataset publications suggest sustained funding and collaborative projects. His research integrates experimental design, material characterization, and process engineering. His work is conducted within the MESA+ Institute, a leading nanotechnology research center, fostering interdisciplinary collaboration in materials science and engineering.
