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Sri Kolla, Ph.D. is a tenured Professor in the Department of Electronics and Computer Engineering Technology at Bowling Green State University (BGSU) , where he has served since August 2002. He also served as a Visiting Professor at the Indian Institute of Science (2017) and as a Fulbright Research Scholar (2008-2009). His academic career spans faculty roles at Penn State University, University of Toledo, and consortium graduate faculty at Indiana State University. Education: Ph.D. in Electrical Engineering and Computer Science (University of Toledo, 1989) M.S. in Electrical and Computer Engineering (University of Saskatchewan, 1986) M.E. in Electrical Engineering (Indian Institute of Science, 1983) B.E. in Electrical Engineering (Andhra University, 1981) Research Interests: Dr. Kolla specializes in Electrical Power and Energy Systems with Smart Grid applications, Control Systems for networked environments, and Machine Learning techniques for power system diagnostics. His work focuses on fault detection in microgrids using LSTM networks, stability robustness of discrete-time systems, and multi-agent protection schemes for power infrastructure. Scientific Contributions: Developed robust control frameworks for microgrid systems under parameter variations (2023-2025) Pioneered AI-based fault identification in induction motors and transformers (1995-2000) Advanced networked control system designs addressing time delays (2002-2012) Published 82+ technical articles in IEEE, ISA Transactions, and conference proceedings Honors and Recognition: Recipient of the Fulbright-Nehru Academic and Professional Excellence Award and Whiteford Scholarship . Senior member of IEEE and ISA , with listings in Marquis Who’s Who and fellowships in The Institute of Engineers (India) .

• Electrical Engineering
• Renewable Energy and Energy Sustainability
• Control Systems
• +5 more

Anders Karlström is a Professor at KTH Royal Institute of Technology, specializing in Transport Modelling and Economics. His research focuses on sustainable transportation systems, emissions reduction, and energy efficiency. Key interests include activity-based modelling, dynamic discrete choice frameworks, and policy analysis for urban mobility. He has contributed to studies on travel behavior, infrastructure planning, and environmental impacts of transport systems across multiple international cities. His work integrates advanced methodologies such as recursive logit models, spatial regression, and machine learning for predictive analytics. Notable research areas involve evaluating weather variability effects on travel patterns, optimizing traffic state estimation with sensor data, and developing scenario-based models for future employment growth. Karlström collaborates with industries to enhance the competitiveness of sustainable transport solutions globally.

• Transport Modelling
• Economic Analysis of Transport
• Sustainable Transportation
• +3 more

Jonas Faleskog is a Professor in the Department of Materials and Structural Mechanics at KTH Royal Institute of Technology. His research focuses on mathematical modeling of material deformation and failure mechanisms, particularly in metallic and polymeric materials. Key areas include ductile and brittle fracture analysis, fracture mechanics, and computational modeling of material behavior under various stress conditions. He leads a research group collaborating internationally to develop models describing material failure at microscopic scales. Faleskog teaches courses such as Fracture Mechanics (SE2139) and Modeling in FEM (SE2860), emphasizing practical applications of theoretical models. His work spans experimental and numerical methods, addressing challenges in material heterogeneity, porosity effects, and environmental degradation. Notable contributions include advancements in weakest-link modeling for brittle failure, probabilistic fracture models, and strain gradient plasticity analysis. His research bridges material science, applied mechanics, and numerical methods to optimize material utilization in engineering systems like reactor tanks, aircraft, and vehicles. Key collaborations involve international teams exploring microstructural influences on fracture behavior. While no specific awards are listed, his extensive publication record reflects sustained contributions to mechanical and materials engineering.

• Solid Mechanics
• Materials Science
• Fracture Mechanics
• +3 more

Yuan Tian is an Assistant Professor in the School of Computing at Queen's University, Faculty of Arts and Science. She holds a PhD in Information Systems from Singapore Management University (2017) and a B.Sc. in Computer Science from Zhejiang University (2012). Her research focuses on integrating heterogeneous data sources to enhance software engineering practices, including data mining, recommender systems, and social network analysis. Prior to Queen's, she was a data scientist at Living Analytics Research Centre (LARC), SMU. She has held visiting positions at Carnegie Mellon University, INRIA Paris, and SAIL Canada. Research Interests: Data Mining Software Engineering Social Network Analysis Information Retrieval Recommender Systems Computer Security Recent Research Trends: Her work emphasizes AI-driven solutions for software bug management, code translation, vulnerability detection, and developer behavior analysis. Notable contributions include leveraging LLMs for technical debt repayment and enhancing code vulnerability detection via Graph Neural Networks. Awards: SMU Presidential Doctoral Fellowship (2015-2016) Best Paper Award at SANER 2017 Grants & Advising: No formal advisees listed, but active in collaborative projects with industry and academic partners. Labs/Teams: Previously associated with SOAR Group at SMU and currently leads research in Queen's School of Computing.

• Data Mining
• Software Engineering
• Social Network Analysis
• +3 more

Andrea Prosperetti is a Full Professor at the University of Twente's Physics of Fluids department within the MESA+ Institute. His research focuses on multiphase flow dynamics, bubble behavior, and fluid mechanics, contributing to Sustainable Development Goals through advanced fluid dynamics studies. He has published extensively with over 224 research outputs and 70 h-index. Key research areas include fluid instabilities, interfacial phenomena, and numerical simulations of complex flows. Recent work explores particle-resolved convection, Taylor bubble dynamics, and hydraulic jumps on conical surfaces. His collaborations span international institutions, emphasizing computational modeling and experimental validation. Prosperetti has delivered numerous presentations on particulate flow simulations and fluid dynamics, and has held editorial and committee roles in organizations like the Institute for Cavitation Research and Deutsche Forschungsgemeinschaft (DFG).

• Fluid Dynamics
• Multiphase Flow
• Bubble Dynamics
• +3 more

Lucia Lee is an Assistant Professor in the Department of Chemistry at Queen's University, affiliated with the Faculty of Arts and Science. Her research focuses on applying green chemistry principles to supramolecular interactions involving main-group elements, particularly sigma-hole interactions, with applications in materials science and medicine. She holds a PhD from McMaster University and has completed postdoctoral studies at the University of Geneva and Weizmann Institute of Science. Dr. Lee's educational background includes a PhD supported by an NSERC grant, which explored chalcogen bonding in supramolecular materials. Her postdoctoral work at Weizmann focuses on stimuli-responsive materials using chalcogen elements for photoswitching applications. She has also contributed to academic governance through roles in the McMaster Graduate Students Association. Her research interests span analytical chemistry, quantum chemistry, inorganic and bioinorganic chemistry, organic chemistry, and free radical chemistry. Key projects include integrating chalcogen bonding into d-metal coordination chemistry, catalysis, and chemical biology to create functional materials. Her lab, located in CHE513, emphasizes sustainable approaches to material design through main-group supramolecular systems. Her articles explore topics like chalcogen bonding mechanisms, anion transport, and photoswitching in confined spaces, reflecting a strong focus on molecular assembly and functional materials. She has no listed scientific awards but demonstrates significant contributions to supramolecular chemistry through her publications and cross-appointments at Queen's Carbon to Metal Coating Institute.

• Chemical Sciences
• Analytical Chemistry
• Quantum Chemistry
• +9 more

Patrick Mitran is a full-time Professor at the University of Waterloo's Department of Electrical and Computer Engineering, within the Faculty of Engineering. His research focuses on advanced wireless communication systems, including 5G/6G technologies, millimeter-wave and sub-THz communication, digital predistortion techniques, MIMO systems, and beamforming architectures. He leads projects addressing challenges in transmitter linearization, network resource allocation, and hardware-efficient signal processing. Key research interests include optimizing frequency multiplier-based transmitters, mitigating inter-cell interference in massive MIMO networks, and developing algorithms for reconfigurable intelligent surfaces (RIS). His work often intersects hardware design, signal processing, and network optimization, with applications in next-generation wireless infrastructure. Recent publications highlight innovations in ultrawideband signal generation for 6G testing, practical RIS configurations, and FPGA-based real-time digital predistortion implementations. His contributions emphasize both theoretical advancements and practical system-level solutions. Dr. Mitran's research group collaborates on cutting-edge topics such as hybrid NOMA in multi-cell networks, adaptive coding modulation for Gaussian channels, and interference decoding strategies. His work has been published in top-tier journals and conferences, reflecting a sustained impact on modern wireless communication technologies.

• 5G/6G Communication Systems
• Millimeter-wave and Sub-THz Technologies
• Digital Predistortion
• +3 more

Yi Zheng is an Associate Professor in the Department of Mechanical and Industrial Engineering at Northeastern University, where he directs the Nano Energy Laboratory. He previously held positions at the University of Rhode Island before joining Northeastern in 2019. His research focuses on nanoscale thermal transport, renewable energy systems, photon-based cooling, and sustainable materials derived from biomass. Zheng serves on editorial boards for Scientific Reports and Journal of Photonics for Energy , and actively participates in conferences like ASME IMECE. He holds a PhD in Mechanical Engineering from Columbia University (2015), with earlier degrees from Columbia and Tsinghua University. Education: Ph.D., Mechanical Engineering, Columbia University (2015) M.S., Mechanical Engineering, Columbia University (2011) B.S., Mechanical Engineering, Tsinghua University (2009) Research Interests: Prof. Zheng’s work bridges nanotechnology and energy systems, emphasizing novel materials for thermal management, radiative cooling, and sustainable energy harvesting. His lab develops biomass-derived composites for solar desalination, thermophotovoltaics, and smart cooling paints. Key projects include ultra-dark solar absorbers, phase-change material-based thermal devices, and recyclable cellulose-based materials. Grants & Awards: 2024 ASME Rising Star Award 2019 NSF CAREER Award 2025 NASA Glenn Faculty Fellow 3M Non-Tenured Faculty Award (2022) Labs/Teams: The Nano Energy Laboratory at Northeastern collaborates internationally on projects like photonics-enabled biosensors and adaptive radiative cooling systems. Recent innovations include self-cleaning cellulose composites and cooling paints for urban heat reduction.

• Nanoscale thermal transport
• Renewable energy harvesting
• Thermophotovoltaics
• +6 more

Professor Peter Wells is an Associate Professor at the University of Southampton, with a joint appointment at Diamond Light Source. His research focuses on operando spectroscopy, heterogeneous catalysis, and nanoparticle design. He coordinates the CHEM3054 module on Inorganic Materials Chemistry and holds a Fellow accreditation from the Higher Education Academy. Education: MChem in Chemistry (University of Surrey, 2003) PhD in tailored metal nanoparticle preparation and characterization (University of Southampton, 2007) His research integrates advanced X-ray techniques (e.g., X-ray absorption spectroscopy) with computational methods like DFT simulations to study catalyst dynamics. Key areas include stabilizing structural changes in palladium nanoparticles and designing nanoparticle catalysts for sustainable chemical production from waste biomass. He collaborates with the UK Catalysis Hub and serves on peer-review panels for Diamond Light Source and the Swiss Light Source. Active Research Projects (EPSRC): Core Equipment 2024 (£1.26M, PI) Nitridic and Carbidic Pd Nanoparticles for Directed Catalysis Peter supervises multiple PhD students in Chemistry and actively mentors researchers through collaborative grants. His work bridges experimental and theoretical approaches to catalysis, emphasizing real-time structural analysis under operational conditions.

• Heterogeneous Catalysis
• Operando Spectroscopy
• Nanoparticle Design
• +3 more

Amin Barari is an Adjunct Professor at the School of Engineering, RMIT University, Australia. His research focuses on geotechnical and offshore engineering, particularly in foundation systems for offshore wind turbines, soil-structure interaction, and seismic liquefaction mitigation. He has extensive experience in experimental and numerical analysis of pile foundations, bucket foundations, and caisson structures. His work integrates advanced computational methods (e.g., machine learning, finite element modeling) to predict foundation behavior under extreme conditions. Research interests include: offshore wind energy foundations, soil liquefaction, cyclic stability diagrams, and probabilistic hazard assessment frameworks. He has supervised multiple PhD/Masters projects on topics like resilient foundations in calcareous deposits and pile foundation dynamics in expansive soils. His publications span over 147 research outputs, emphasizing geotechnical challenges in coastal and offshore environments. Dr. Barari collaborates with international institutions and has expertise in experimental testing (e.g., large-scale load testing, centrifuge modeling) and advanced AI-driven frameworks for geohazard prediction. His work contributes to sustainable infrastructure design and risk mitigation strategies for renewable energy systems.

• Geotechnical Engineering
• Offshore Engineering
• Civil Engineering
• +7 more

Julian Jauk is a Researcher at the Institute for Architecture and Media, TU Graz. His work focuses on innovative material systems, digital fabrication, and sustainable architectural design. He explores the integration of clay composites, mycelium-based materials, and knitted structures with advanced manufacturing techniques like 3D printing. Key research themes include lightweight ceramic structures, biocomposite materials, and computational design methodologies. His research emphasizes material-driven innovation, structural optimization, and environmental sustainability. Notable projects include MyCera (clay-mycelium composites) and ClayKnit (3D-printed clay-knitted hybrids). He also investigates mixed reality tools for architectural sketching and kinetic architectural prototypes. Publications from 2021–2024 highlight trends in bio-based materials, additive manufacturing, and material-property analysis. His work bridges traditional craftsmanship with cutting-edge digital fabrication, aiming to redefine sustainable building practices.

• 3D Printing
• Ceramic Materials
• Sustainable Materials
• +3 more

Pascal BOUVRY is a full Professor of parallel computing and optimization techniques at the University of Luxembourg's Department of Computer Science , within the Faculty of Science, Technology and Medicine (FSTM) . He currently serves as the Dean of the FSTM and leads the Parallel Computing and Optimisation group . Additionally, he oversees the University's High Performance Computing (HPC) infrastructure. His research focuses on parallel computing, optimization algorithms, distributed systems, and their applications in bioinformatics and distributed environments. Prof. BOUVRY holds a Ph.D. in Computer Science from the University of Grenoble (France) and has extensive industry experience, including roles as CEO/CTO of tech firms and leadership in telecom and financial services sectors. He has pioneered initiatives like the Master in High-Performance Computing and Technopreneurship programs at the University of Luxembourg. His research interests span GPU programming paradigms , federated learning , distributed optimization , and trustworthy AI . Recent work includes advancements in HPC education frameworks, federated learning frameworks (e.g., FedPref), and quantum circuit optimization. He contributes to editorial boards of journals like IEEE Transactions on Sustainable Computing and IEEE Cloud Computing Magazine. Prof. BOUVRY has held international leadership roles, including as Honorary Chair of conferences and active participation in technical committees. His educational efforts emphasize bridging academic research with industrial applications, particularly in HPC and AI.

• Parallel Computing
• Optimization Techniques
• High-Performance Computing (HPC)
• +5 more

Dr. Joshua New is a Distinguished R&D Staff Member at Oak Ridge National Laboratory (ORNL) and holds a Joint Faculty Position at The University of Tennessee since 2012. He leads research in building energy modeling, climate change science, and supercomputing. His work focuses on urban-scale energy systems, AI-driven analytics, and high-performance computing applications. Education: Ph.D. in Computer Science (University of Tennessee, 2009), M.S. in Computer Systems, B.S. in Computer Science and Mathematics (Jacksonville State University). His research interests include optimizing building energy efficiency, simulating climate impacts on urban infrastructure, and developing tools like AutoBEM and ModelAmerica to model 122.9 million U.S. buildings. He has over 150 peer-reviewed publications and led 45+ projects involving supercomputing, visual analytics, and AI for big data. Awards include the R&D 100 Award (2016), ASHRAE Distinguished Service Award (2018), and Lab-Corps (2015). His teams prioritize utility use cases and validate models against real-world data. He is a Senior IEEE member, Certified Energy Manager (CEM), and holds certifications in project management and energy efficiency. Key contributions include the Roof Savings Calculator Suite, AutoGen/AutoSim tools, and the ModelAmerica initiative. His work addresses national energy policy, heatwave resilience, and sustainable city design through interdisciplinary collaborations.

• Building Energy Modeling
• Climate Change Science
• Supercomputing
• +5 more

Retsef Levi is the J. Spencer Standish (1945) Professor of Operations Management at the MIT Sloan School of Management, affiliated with the MIT Operations Research Center. He co-directs the Leaders for Global Operations (LGO) Program. His work focuses on data-driven decision models for healthcare systems, supply chain optimization, and risk management. Levi holds a PhD in Operations Research from Cornell University and has led industry collaborations with major hospitals and organizations like the FDA and Walmart Foundation. Education: PhD in Operations Research, Cornell University, 2005 Bachelor’s in Mathematics, Tel-Aviv University, 2001 Research Interests: Levi’s research addresses complex decision-making under uncertainty in healthcare, supply chains, and logistics. Key areas include food safety analytics, risk-based sampling, and predictive modeling for zoonotic diseases. He designs algorithms for inventory control, appointment scheduling, and healthcare resource allocation. Articles Overview: Recent work spans AI-driven epidemiological models, supply chain cybersecurity, and agricultural market interventions. His articles emphasize practical applications of operations research in healthcare and public health. Awards: NSF Career Grant INFORMS Optimization Prize (2008) Wagner Prize (2013) Harold W. Kuhn Award (2016) Advising & Grants: Advised 10 PhD students and 34 master’s students. Led multi-million-dollar projects like the Walmart Foundation initiative for China’s food safety. Active in hospital process optimization and FDA risk management contracts. Labs & Teams: Runs MIT’s Food Supply Chain Analytics and Sensing Initiative, collaborating with global partners on predictive risk tools and healthcare analytics.

• Food Supply Chain Analytics
• Supply Chain Optimization
• Health Systems
• +7 more

Antonio Lioy is a Full Professor in the Department of Control and Computer Science (DAUIN) at the Polytechnic University of Turin. He serves as the Cyber Security Representative for the university in national and European government collaborations, is a member of the SmartData@PoliTO interdepartmental center, and acts as Scientific Advisor for the DRIVESEC partnership. His research is deeply rooted in cybersecurity, electronic identity, network and web security, and quantum-resistant systems. His research interests focus on cybersecurity , electronic identity , network security , web security , and quantum cryptography . He leads the TORSEC Security Group and conducts research in LAB 7, with a strong emphasis on trusted computing, post-quantum cryptography, IoT security, and secure network infrastructures. His work aligns with ERC sectors in computer systems and cryptology, and supports UN SDGs on innovation and sustainable cities. His recent publications show a strong trend toward post-quantum cryptography , remote attestation , trusted execution environments , and secure network virtualization . These works appear in top venues such as IEEE, ACM, and IFIP conferences, with a focus on securing future digital infrastructures against emerging threats. Themes include integrity management in softwarized networks, standard-based attestation, and quantum-resistant PKI strategies. He has supervised numerous PhD students, including Davide Colaiacomo, Francesco Vaccaro, Flavio Ciravegna, Grazia D'Onghia, Lorenzo Ferro, Francesco Settanni, Enrico Bravi, Silvia Sisinni, Luca Mannella, and Ignazio Pedone, whose research spans cybersecurity, quantum computing, and IoT. He leads multiple high-profile research projects such as Q-FENCE, QUBIP, SERICS, and FISHY, funded by Horizon Europe and national programs, demonstrating significant grant acquisition and leadership. He is actively involved in research labs and teams, primarily the TORSEC - Security Group (DAUIN) and LAB 7 - Research Laboratory (DAUIN) , which focus on applied cybersecurity research. His projects often involve collaboration with industry and government bodies, emphasizing real-world impact in secure digital identity, critical infrastructure protection, and quantum-safe transitions.

• Cybersecurity
• Electronic Identity
• Network Security
• +7 more