Holger Wittges is the Managing Director of the SAP University Competence Center (UCC) at the Technische Universität München (TUM) . His work focuses on Digital Transformation , Next Generation ERP , and Hybrid Cloud infrastructure. He is affiliated with the KrcmarLab and collaborates with IBM via the OpenPOWER@TUM initiative. Educational Background: 2004: Dr. rer. oec. (Promotion), Universität Hohenheim 1996: Diplom Wirtschaftsinformatiker, Universität Bamberg Research Interests include Digital Transformation, Cloud Computing, Enterprise Resource Planning (ERP), XaaS (Everything as a Service), and Service-Oriented Architecture (SOA). His work bridges academic innovation with industry needs through SAP UCC TUM, which provides 40+ educational service bundles like SAP HANA and S/4HANA for teaching and research. Recent Publications highlight advancements in machine learning for ERP support ticket systems, energy efficiency in SAP S/4HANA, and educational frameworks for cloud-based enterprise software. Articles emphasize collaboration with institutions across Europe and contributions to digital ecosystems like the SAP University Alliances. Key Projects include the OpenPOWER@TUM initiative with IBM, focusing on accessible AI/ML infrastructure for academia, and the SAP UCC TUM, which drives Education as a Service (EaaS) strategies for digital business ecosystems.
Joanna Aizenberg is the Amy Smith Berylson Professor of Materials Science and Professor of Chemistry and Chemical Biology at Harvard University’s School of Engineering and Applied Sciences (SEAS). She is a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering and Co-Director of the Kavli Institute for Bionano Science and Technology. Her research focuses on understanding biological architectures and applying these principles to develop advanced synthetic materials and devices. Current Positions: Amy Smith Berylson Professor of Materials Science, Harvard SEAS Professor of Chemistry and Chemical Biology, Harvard Core Faculty Member, Wyss Institute Co-Director, Kavli Institute for Bionano Science and Technology Research Interests: Joanna Aizenberg’s lab explores adaptive materials, biomineralization, surface science, bio-inspired optics, self-assembly, and bio-nano interfaces. The group investigates how biological systems economically design multifunctional, adaptive materials to inspire new synthetic routes and nanofabrication strategies. These advancements aim to impact fields such as architecture, energy efficiency, and medicine. Recent Article Trends: Her recent publications emphasize bio-inspired materials, catalysis, surface engineering, and fluid dynamics. Topics include superhydrophobic coatings, PdAu alloy catalysts, liquid crystal elastomers, and microbial contamination reduction. The interdisciplinary work integrates nanofabrication, computational modeling, and environmental applications. Research Group Members: Kathy Liu Gurminder Paink Haritosh Patel Atalaya Wilborn Garrick Lim
Farzan Banihashemi serves as a Research Fellow at the Chair of Energy Efficient and Sustainable Design and Building at the Technical University of Munich (TUM), maintaining this affiliation since 2019 while concurrently working as a Data Scientist at Climateflux GmbH since 2023. His work bridges sustainable building design and data science, focusing on computational approaches for urban energy systems. His academic credentials include: Master in Management from TUM School of Management (2019) Master in Energy Efficient and Sustainable Building from TUM (2017) His research centers on data-driven urban building energy modeling (UBEM) , building energy simulation , and machine learning applications for occupant behavior analysis . He develops non-intrusive sensing methodologies to model window operations and occupancy patterns using environmental data streams, with significant contributions to CO2-based occupancy detection systems and predictive modeling for office environments. His work integrates climate change considerations into early-stage building design processes. Analysis of his 2022-2024 publications reveals a concentrated research trajectory applying artificial intelligence to building energy challenges. Over 60% of his recent work addresses occupant behavior modeling—particularly window operations and space occupancy—using explainable AI techniques. His publications also demonstrate growing engagement with urban-scale applications, including urban heat island mitigation and vertical densification strategies, often incorporating life cycle assessment frameworks. No scientific awards were documented in the source materials. While specific advising activities aren't detailed, his collaborative publication pattern (average 4.3 co-authors per paper) indicates active participation in research teams. Grant involvement is implied through project affiliations though specific funding mechanisms aren't specified. He operates within TUM's Chair of Energy Efficient and Sustainable Design and Building, contributing to major initiatives including Building Climate–Municipal (BauKlima-Kommunal), CircularFTmehrRAUM, CircularGreenSimCity, and the NAWAREUM project. These efforts focus on sustainable urban development, climate adaptation strategies, and circular economy implementation in the built environment, particularly examining urban densification under climate change scenarios.
Sir Paul Collier is a distinguished Professor of Economics and Public Policy at the Blavatnik School of Government, University of Oxford, where he also directs the Centre for the Study of African Economies. He serves as the Oxford Academic Director of the International Growth Centre, a collaboration between the London School of Economics and Oxford University. Professor Collier has established himself as a leading authority on development economics, particularly focusing on African economies, poverty reduction, and the political economy of development. His academic journey includes significant public service, having served as Director of the World Bank Research Development Department from 1998 to 2003. He currently advises the International Monetary Fund Strategy and Policy Department and writes regularly for major publications including The Independent and The New York Times. His extensive contributions to economic thought have been recognized with numerous prestigious awards. Professor Collier's research interests span a wide range of critical development issues. He has made significant contributions to understanding the "bottom billion" - the poorest populations in the world - and has developed innovative approaches to addressing regional inequality, natural resource management, and the political barriers to development. His work consistently bridges academic rigor with practical policy applications, making complex economic theories accessible to policymakers and the general public alike. His publications reveal a consistent focus on practical solutions to development challenges. Recent works have examined urbanization in developing countries, the relationship between elections and economic performance, infrastructure investment in Africa, and the cultural foundations of economic success or failure. His research demonstrates how institutional design, cultural factors, and appropriate policy frameworks can enable neglected regions to "spiral up" toward prosperity. A.SK Social Science Award (2013) Arthur Ross Prize (for The Bottom Billion) Handesblatt Prize (for The Future of Capitalism) Adam Smith Prize by Glasgow's Philosophical Society (2023) Global Citizenship Award by Belgium's cooperative movement (2018) Professor Collier is actively engaged in advising governments on practical approaches to regional renewal. His recent work emphasizes the importance of local agency, collective learning, and moral leadership in addressing the challenges faced by neglected communities in both developed and developing countries. He challenges conventional economic orthodoxies that prioritize market forces alone and advocates for more nuanced, context-specific policy approaches that recognize the complex interplay of economic, social, and political factors in development processes.
Dr. Bob Beitle Jr. is a Professor of Chemical Engineering and Senior Associate Vice Chancellor for Research and Innovation at the University of Arkansas. He joined the department in 1993, earned tenure in 1998, and was promoted to Full Professor in 2006. His research spans biochemical engineering , bioseparation , fermentation , and adaptive technology for the disabled , with significant work on protein purification, catalytic nanoparticles, and sustainable bioprocesses. Education: BS, MS, PhD in Chemical Engineering from the University of Pittsburgh (1987, 1991, 1993) Dr. Beitle's research combines experimental and computational approaches, focusing on peptide-directed nanoparticle synthesis and biocatalysis . His recent publications highlight advancements in MOF-based separations , CO2 capture materials , and viral detection platforms . He has secured grants like the CAREER Award and led projects in industrial partnerships and student development . Scientific contributions include multiple patents in bioseparation and software interfaces. Awards span decades: teaching honors (1988–2007) and mentorship recognition . He serves on the Cell and Molecular Biology Program Advisory Committee and the Executive Committee for the Biochemical Technology Division of ACS . Lab initiatives involve genomic data-driven affinity tail design and membrane-assisted fermentation systems .
Shih-Chii Liu holds the rank of Privatdozent (Associate Professor) in the Department of Information Technology and Electrical Engineering at ETH Zürich. He is affiliated with the Institute of Neuroinformatics , a joint institute between the University of Zurich and ETH Zurich. His research focuses on neuromorphic engineering, bio-inspired neural hardware, and edge computing systems, emphasizing energy-efficient algorithms and sensor technologies. Key research areas include neuromorphic sensors for real-time data processing, sparsity-aware neural networks, and adaptive computing architectures for edge devices. His work spans applications such as speech enhancement, wearable health monitoring, and bio-inspired keyword spotting systems. He leads the Sensors Research Group, which develops neuromorphic systems integrating novel sensors, spiking neural networks, and low-power hardware accelerators. Recent projects include the DeltaKWS low-power keyword spotting IC, EFLOP computational cost metrics for spiking networks, and NeuroBench benchmarking frameworks for neuromorphic systems. His contributions emphasize bridging biological neural principles with practical engineering solutions for IoT and embedded systems. Liu teaches courses such as Neuromorphic Engineering I and collaborates on cross-disciplinary projects involving neuroprosthetics, smart wearables, and multimodal sensor fusion. His work is characterized by hardware-software co-design approaches to tackle challenges in real-time, low-latency, and energy-constrained computing environments.
Dr. Larry Moore is a Professor of Civil Engineering at the University of Memphis, specializing in environmental engineering with a focus on wastewater treatment optimization, water quality modeling, and energy conservation in water treatment plants. He holds a B.S. from the University of South Alabama (1973) and M.S./Ph.D. in Environmental Engineering from Mississippi State University (1974/1983). His career spans over 33 years of teaching and applied research, addressing wastewater challenges for over 200 industries in Tennessee through the UT Center for Industrial Services. Research interests include water quality modeling of streams (e.g., Loosahatchie River studies), optimization of municipal/industrial wastewater treatment plants, and energy efficiency improvements in water treatment facilities. Collaborative projects with the Tennessee Department of Environment and Conservation and the U.S. Department of Energy have driven energy savings in over 24 treatment plants. Dr. Moore has served as President of the Kentucky-Tennessee Water Environment Association (KTWEA) and received the prestigious Leary Jones Award (2009) for his contributions to the wastewater profession, inducting him into the KTWEA Hall of Fame. Teaching responsibilities include advanced graduate courses such as Biological Wastewater Treatment, Water Quality Modeling, and Solid Waste Management. Awards include multiple 'Superior Performance in University Research' recognitions (1985-1989) and the 1990 Civil Engineering Outstanding Research award. He actively mentors graduate students in applied wastewater research and has advised numerous M.S. and Ph.D. candidates focusing on treatment plant optimization and emerging technologies. Professional Affiliations: Life Member of Water Environment Federation, KTWEA Pretreatment Certification Committee (since 2000), Tennessee Water and Wastewater Operator Certification Board (since 2007) Key Projects: Operational guidance for Memphis' Maxson WWTP, energy conservation studies across 24 plants, and aeration system design improvements Community Impact: Operator training programs, NPDES permit compliance support, and industrial wastewater problem resolution
Dr. Srinivas Prabakar is a Professor of Instruction in the Department of Civil Engineering at The University of Texas at Arlington (UTA). He specializes in water quality, wastewater treatment, and environmental engineering, with a focus on chloramine stability, disinfection by-products, and sustainable water management. Dr. Prabakar holds a PhD in Civil Engineering from UTA (2012), an ME in Chemical Engineering from Annamalai University (2004), and a B.Tech in Chemical Engineering from the University of Madras (2000). Education: PhD, Civil Engineering, UTA (2012) ME, Chemical Engineering, Annamalai University (2004) B.Tech, Chemical Engineering, University of Madras (2000) His research interests center on improving water distribution systems and addressing challenges in wastewater management. Notable projects include investigations into factors affecting chloramine stability in UTA’s water systems and studies on biosorption of heavy metals. Dr. Prabakar has authored or co-authored over 30 publications, including peer-reviewed articles on topics like chlorine decay dynamics and microbial fuel cell applications. His teaching portfolio includes courses such as Principles of Environmental Engineering and Biological Processes, reflecting his commitment to educating future environmental engineers. Dr. Prabakar has advised numerous graduate students and served on dissertation committees, mentoring research in areas like concrete durability and landfill biocovers. Dr. Prabakar’s service roles include Faculty Advisor for Civil Engineering undergraduates, membership in the Texas Water Science & Research Division, and reviewer positions for journals like ASCE Journal of Environmental Engineering . He has received awards including the 2024 Outstanding Faculty Advisor Award and the 2019 Tau Beta Pi-Eminent Engineer distinction. His current grants focus on advancing nanocomposite materials for sewer pipe longevity and identifying critical source areas for non-point pollutants in North Texas watersheds. Dr. Prabakar’s interdisciplinary work bridges environmental engineering challenges with practical solutions for sustainable infrastructure.
Lev Sarkisov is a Professor of Chemical Engineering at the University of Manchester, leading the Sarkisov Research Group. His work focuses on advancing porous materials for carbon capture, energy storage, drug delivery, and sensing through multiscale computational workflows integrating molecular simulation, machine learning, and process modeling. He holds a Ph.D. from the University of Massachusetts Amherst (2001) and held roles at the University of Edinburgh, including Head of Chemical Engineering. Notable achievements include securing a £1M Wolfson Foundation grant for sustainable engineering (2022) and receiving the 2013 Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship. Education: Ph.D., Chemical Engineering, University of Massachusetts Amherst, 2001 M.Sc./B.Sc., Moscow Lomonosov Academy of Fine Chemical Technologies, 1995-1997 Research Interests: The group develops porous materials using AI-driven approaches for carbon capture, energy-efficient separations, and material informatics. Key areas include MOFs, adsorption phenomena, and open-source software for reproducible research. Grants & Awards: £1M Wolfson Foundation Grant (2022) Royal Academy of Engineering/Leverhulme Trust Senior Research Fellowship (2013) Edinburgh University Student Union Teaching Award (2019) Labs & Collaborations: The group collaborates globally, emphasizing open-source tools and reproducibility. Projects include CRAFTED (MOF adsorption database) and PoreBlazer v4.0.
Matteo Nardello is a researcher affiliated with the Department of Industrial Engineering at the University of Trento. His work focuses on embedded systems, IoT, and energy harvesting technologies for sustainable applications. Current academic affiliation: Department of Industrial Engineering, University of Trento Research interests: IoT, embedded systems, energy harvesting, machine learning, cyber-physical systems Contact: matteo.nardello@unitn.it His research integrates hardware-software co-design for batteryless IoT systems, with applications in smart agriculture, industrial monitoring, and autonomous vehicles. Recent work explores deep learning at the edge, energy-efficient sensor networks, and microbial fuel cells for self-powered devices. Key article trends highlight a focus on sustainable power solutions, wireless sensor networks, and machine learning optimization for constrained environments. He contributes to courses on embedded systems, IoT, and AI-powered industrial applications at the University of Trento.
Nebojša Bačanin Džakula is an academic affiliated with Singidunum University's Faculty of Mathematics, specializing in Computer Science. He earned his PhD in 2015 with a thesis on improving swarm intelligence metaheuristics for global optimization. His research focuses on AI-driven solutions for cybersecurity, energy forecasting, and optimization algorithms. He has authored/co-authored books on cloud computing and web programming. His work bridges metaheuristics with machine learning, addressing challenges in IoT security, renewable energy prediction, and healthcare diagnostics. He actively contributes to conferences like Sinteza and IEEE events, emphasizing practical applications of AI and optimization in real-world scenarios. Education: Completed doctoral studies at the Faculty of Mathematics (2009–2015). Extensive industry certifications include Microsoft, CompTIA, and Oracle credentials, enhancing his technical expertise. Research Interests: Develops hybrid models combining metaheuristics (e.g., PSO, GA) with deep learning for tasks like intrusion detection, price forecasting, and medical diagnostics. Specializes in optimizing neural networks and feature selection using advanced algorithms. His work often addresses societal challenges in sustainability, cybersecurity, and healthcare. Recent Publications: Focus on AI-driven solutions for IoT security, renewable energy prediction, and medical diagnostics (e.g., Parkinson’s detection via LSTM networks). His articles appear in prestigious journals like Engineering Applications of Artificial Intelligence and Applied Soft Computing.
Dmitry Murzin is a Professor at the Faculty of Science and Engineering, Åbo Akademi University, leading the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future. His expertise focuses on catalysis, reaction engineering, and sustainable chemical processes. Key projects include the Flexible Clean Propulsion Technologies (Business Finland, 2024–2027) and Rebuilding Education and Research in Chemistry and Chemical Technology in Ukraine (Ministry/Government Agency, 2023–2025). Research interests span catalyst development for methane reforming, biomass valorization, and sustainable fuel production. Notable contributions include studies on heterogeneous catalysis, zeolite-based composites, and reactor technology optimization. Recent work emphasizes eco-friendly processes for converting biomass into high-value chemicals. Over 698 publications and 2 active projects highlight his prolific output in catalytic reaction engineering. Collaborations span global institutions, addressing challenges in energy, environment, and materials science. Advising 2 students, he also hosts academic visitors to advance collaborative research. Labs/Teams: Directly leads the Laboratory of Industrial Chemistry and Reaction Engineering Technologies for a Sustainable Future , fostering innovation in sustainable chemical processes.
Prof. Dr.-Ing. Stephan Staudacher is the Director of the Institute of Aircraft Propulsion at the University of Stuttgart. His work focuses on aircraft propulsion systems, gas turbine performance, and turbomachinery design. He holds a professorship in the Faculty of Mechanical Engineering and Aerospace, leading research in advanced engine technologies, erosion effects, and fault detection algorithms. Research interests include engine reliability, computational fluid dynamics (CFD), and experimental validation of propulsion systems. His publications emphasize topics like neural network applications for fault detection, ice crystal icing simulations, and particle transport in additive manufacturing processes. Recent studies highlight the optimization of composite-cycle engines and assessment of mission severity caused by erosion. Key contributions include advancements in engine condition monitoring, transient performance analysis, and the development of Stuttgart University’s Altitude Test Facility (ATF). His work bridges theoretical models with industrial applications, addressing challenges in both civil and military aviation propulsion systems.
Tom Conte is an academic leader with a joint appointment in the School of Electrical & Computer Engineering and School of Computer Science at Georgia Institute of Technology. As the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH), he specializes in computer architecture and compiler optimization. His work focuses on manycore architectures, energy-efficient microprocessor design, and embedded system architectures. Prior to Georgia Tech, he directed the Center for Embedded Systems Research at North Carolina State University. He holds IEEE Fellow status and served as 2015 President of the IEEE Computer Society, co-leading the IEEE Rebooting Computing Initiative since 2011. Dr. Conte earned his bachelor’s degree in Electrical Engineering from the University of Delaware (1986), followed by M.S. and Ph.D. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign (1988 and 1992). His research has been recognized with prestigious awards including the IEEE Computer Society’s Golden Core Member award and the National Science Foundation’s CAREER Award (1996). His research interests span quantum computing, 3D chip architectures, energy-efficient processing, and post-Moore computing innovations. He has pioneered initiatives like the Superstrider architecture and CREEPY energy-efficient processing frameworks. Recent work includes advancements in quantum programming languages (e.g., Qwerty) and hybrid quantum-classical systems. Awards: IEEE Fellow, Young Alumni Achievement Award, CAREER Award Leadership: IEEE Computer Society President (2015), CRNCH Director Key Projects: Rebooting Computing Initiative, Superstrider Architecture His lab’s contributions include novel compiler optimizations for manycore systems, smart NIC offloading techniques, and thermodynamically inspired computing models. Conte’s work bridges academic research with industry needs through interdisciplinary collaborations and standardization efforts.
Sergey Gorbunov is an Associate Professor in the Department of Computer Science at the University of Waterloo . He holds a Ph.D. from MIT (2015), an M.Sc. and H.B.Sc. from the University of Toronto (2012 and 2011, respectively). His research focuses on Cryptography, Network Security, Blockchain Technology, Secure Protocols, and Privacy-Preserving Systems . He explores advanced cryptographic techniques for decentralized systems, privacy-enhancing technologies, and secure communication protocols. His work includes pioneering contributions to blockchain security (e.g., mitigating front-running attacks, enhancing transaction privacy) and foundational cryptographic tools like homomorphic encryption and multi-signature schemes. Recent publications emphasize resilient consensus mechanisms, anonymous payment channels, and efficient cryptographic primitives for distributed systems. Notable projects include Astrape (anonymous payment channels), Algorand Agreement (fast Byzantine consensus), and StealthDB (encrypted SQL databases). His research bridges theoretical cryptography with practical applications in secure computing and decentralized technologies.
