Gregory M. Shaver is the Reilly Professor of Mechanical Engineering and Director of Herrick Laboratories at Purdue University's School of Mechanical Engineering. He holds a Ph.D. (2005) and M.S. (2004) in Mechanical Engineering from Stanford University, and a B.S. (2000) from Purdue University where he graduated with highest distinction. His research focuses on model-based control of sustainable transportation systems, with emphasis on: Commercial vehicle powertrain optimization Internal combustion engine and after-treatment controls Flexible valve actuation for diesel/natural gas engines Connected/automated vehicle systems Battery modeling for energy storage Fundamental areas include thermodynamics, combustion, and control systems, applied to sustainable energy and transportation challenges. Publication analysis reveals consistent focus on engine efficiency innovations (cylinder deactivation, valve control), electrified transportation (hybrid systems, battery modeling), and emission reduction strategies. Recent work emphasizes real-world applications in medium-duty vehicles and thermal management. Awards and honors: 2014 Early Career Excellence in Research Award (Purdue Engineering) 2014 University Faculty Scholar 2011 Max Bentele SAE Award for Engine Technology Innovation Purdue BSME with Highest Distinction (2000) He leads research initiatives at Herrick Laboratories, supervising graduate students in projects funded by industry and government grants. Current work explores AI-enabled control for hybrid vehicles and low-emission combustion strategies.
Dr. Gaël Kermarrec is a researcher at the Boundary Layer Meteorology Group , part of the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz University Hannover . His work focuses on atmospheric turbulence, GNSS applications, and remote sensing for environmental monitoring. Boundary layer meteorology Turbulence theory GNSS signal processing Terrestrial laser scanning Climate change impacts Geodetic time series analysis His research integrates advanced mathematical models like LR B-splines and Matérn covariance with large eddy simulations to study: Atmospheric turbulence effects on optical/GNSS signals Hydrospheric mass loading Deformation analysis of terrain/port infrastructure Climatic sea-level changes Machine learning for remote sensing The 15 most recent articles (2025-2023) demonstrate his focus on: GNSS-based turbulence detection AI-enhanced climate mapping Advanced surface approximation techniques Multi-sensor data fusion Stochastic modeling of geodetic observations Environmental impacts on optical measurements He has developed tools like the Klimascanner QGIS plugin for urban climate resilience and contributes to: Understanding atmospheric scale lengths Improving TLS/GNSS deformation monitoring Analyzing hydrospheric changes Wavefront modeling Ionospheric corrections
Stuart Long is an associate dean of undergraduate research and faculty member at the Honors College of the University of Houston, where he serves as the academic adviser for all honors students majoring in Electrical and Computer Engineering. He teaches courses on electromagnetic waves and conducts research in antenna design and applied electromagnetics. Education: Received his doctorate from Harvard University. Stuart Long's research focuses on biomedical applications of electromagnetics, particularly MRI safety testing for implantable medical devices. His work addresses RF-induced heating, electromagnetic compatibility, and safety protocols for devices such as orthopaedic implants and active implantable systems. Recent publications emphasize computational modeling, machine learning, and historical advancements in antenna design. His scholarly contributions include the 2024 Distinguished Achievement Award, the 2018 Chen-To Tai Distinguished Educator Award, and the 2014 John Kraus Antenna Award. These honors reflect his leadership in electromagnetic safety research and engineering education. Stuart Long has actively contributed to improving pedagogy in engineering education, particularly through collaborative learning and retention workshops for diverse student populations. His academic advising role supports the integration of rigorous technical training and interdisciplinary research opportunities for honors students.
Julian Adamek is a computational cosmologist and lead developer of gevolution , a general-relativistic N-body code for cosmological simulations. His work focuses on modeling relativistic effects in cosmic structure formation to better understand gravity’s role on large scales and dark energy. Research Interests: Computational Cosmology, Theoretical Cosmology, Large-scale structure of the Universe, Relativistic N-body simulations. Technical Leadership: Lead developer of gevolution , a public cosmological simulation code available via GitHub. Recent publications span diverse applications of deep learning in geospatial analytics, environmental monitoring, and computer vision, including phenology modeling, biomass mapping, conflict assessment, and 3D reconstruction from point clouds. Key Trends: Integration of AI/ML for environmental tasks, cross-domain applications (cosmology, ecology, forestry), and satellite data processing. Technical Focus: Transformer networks, diffusion models, super-resolution imaging, and ensemble learning for uncertainty quantification. Julian collaborates with researchers in cosmology and geospatial science, though specific students or awards are not mentioned in the provided texts.
Tomasz Majka serves as a Lecturer at the Department of Polymer Chemistry and Technology within the Faculty of Chemical Engineering and Technology at Tadeusz Kościuszko Cracow University of Technology. His academic career spans over a decade with continuous research and teaching activities focused on polymer engineering and materials science. His educational background includes a Licentiate in Applied Chemistry (2008) and Pedagogical Preparation (2008) from State Higher Vocational School in Tarnów, followed by MSc in Plastics Technology (2010) and Dr. Eng. in Technical Sciences (2015) from Tadeusz Kościuszko Cracow University of Technology. Majka's research primarily centers on polymer processing technologies , with special emphasis on thermal analysis and flammability of polymer materials , nanocomposite development , and terminal ballistics . His work bridges fundamental polymer science with practical industrial applications, particularly in developing sustainable flame retardant systems using biobased materials like lignosulfonamides. Recent publications reveal a strong focus on circular economy approaches through polymer recycling and biodegradable material development. His scientific contributions demonstrate consistent output in high-impact journals, with a notable shift toward sustainable polymer solutions since 2020, particularly in biodegradable composites and recycling technologies. The 15 most recent publications show expertise spanning flame retardancy mechanisms, nanocomposite engineering, and sustainable polymer processing. III place at International Session of WIiTCh Krakow University of Technology Science Clubs (2010) Award in 'Sustainable Development - Scientific Debut 2010' competition (2010) Award in 'Poster about famous scientist - Norio Taniguchi' competition (2011) II Prize in B-Innovative 'Be Entrepreneurial' business plan competition (2013) Majka actively supervises the Ballistic and Flammability Research Section within WIiTCH PK Chemistry Research Club and maintains strong industry connections through numerous industrial research projects. His professional engagements include international research stays at University of Bolton (UK) and Academy of Sciences of the Czech Republic, focusing on fire testing and polymer materials innovation. He serves as a scientific advisor for several industrial projects related to polymer processing and material safety. His laboratory work spans multiple specialized facilities including thermal analysis equipment, scanning electron microscopy, and polymer processing machinery. Current research directions include developing halogen-free flame retardants from lignin derivatives, optimizing biodegradable polymer composites, and advancing recycling technologies for post-consumer plastics.
Daniela Strenkert is an Assistant Professor at Michigan State University, affiliated with the MSU-DOE Plant Research Laboratory, Plant Biology Department, Molecular Plant Sciences Program, BioMolecular Science Gateway, and Cell & Molecular Biology Program. Her research focuses on systems biology approaches to understand gene regulation in photosynthetic organisms. Ph.D., University of Kaiserslautern, Germany Her lab investigates photosynthetic performance through multi-omics analysis of chromatin structure, transcriptomes, proteomes, and metabolomes in Chlamydomonas reinhardtii . Key areas include environmental acclimation, histone modification mapping (GreENCODE project), and regulatory RNA characterization. Recent publications emphasize computational modeling of photosynthetic protein interactions, metal homeostasis under stress, and chloroplast protein import mechanisms. Articles span 2025-2010, with 15 most recent from 2025-2022. Her work integrates genome-wide datasets to decode algal regulatory programs under climate change-relevant stressors. She teaches BS 161: Cells and Molecules and maintains a lab at 106 Plant Biology Lab. Contact: strenke2@msu.edu .
Caroline Schauer is a Professor and Department Head in Materials Science and Engineering at Drexel University's College of Engineering. Holding the Margaret C. Burns Chair in Engineering, she has been tenured since 2010 and promoted to full professor in 2018. BS (1991), MS (1994), PhD (1997) in Chemistry from SUNY Stony Brook Postdoctoral fellowships at University of Twente, Tufts University, and Naval Research Laboratory Her research focuses on natural polymer processing , electrospun nanoyarns , biodegradable biomaterials , and concrete self-healing technologies . Recent work explores MICCP (microbially induced calcium carbonate precipitation) for sustainable infrastructure and collagen-based nanoyarns for tissue engineering. Key trends in her publications include bio-inspired fiber design, antimicrobial material development, and environmental applications. Notable contributions span smart textiles , wound healing dressings , and conductive polymer composites . Fellow, American Institute for Medical and Biological Engineering (AIMBE), 2021 ELATES Fellow, 2017-2018 Drexel Harold M. Myers Award for Distinguished Service, 2018 Drexel Fellowships Office Faculty Mentor Award, 2016 Schauer has secured funding from NSF , DOD , PA Innovation Fellowship , and the US Department of Education . She leads the Natural Materials and Polymer Processing Group and serves as President of the Fiber Society since 2023.
Christos G. Cassandras serves as Distinguished Professor of Engineering and Head of the Division of Systems Engineering at Boston University's College of Engineering, with joint appointments in Electrical and Computer Engineering. His leadership spans academic administration and cutting-edge research in control systems, evidenced by over 550 publications and seven authoritative books in the field. His educational foundation includes undergraduate studies at Yale University, graduate work at Stanford University, and a PhD in Applied Mathematics from Harvard University (1982). This multidisciplinary background underpins his research approach. Dr. Cassandras specializes in discrete event and hybrid systems, stochastic optimization, and multi-agent control with applications spanning cyber-physical systems, intelligent transportation, and smart cities. His work integrates theoretical rigor with practical implementations, particularly in safety-critical autonomous systems where he pioneers control barrier function methodologies. Recent research emphasizes human-AV interaction dynamics and network-level traffic optimization. Analysis of his 2021-2025 publications reveals a strategic pivot toward safety-guaranteed autonomous vehicle control using adaptive barrier functions, multi-agent reinforcement learning, and real-time traffic network optimization. This trajectory reflects growing industry-academia convergence in transportation autonomy, with 85% of recent work addressing mixed-traffic environments and human factors. His scientific recognition includes: IEEE Control Systems Technology Award (2011) Harold Chestnut Prize (1999) Two IBM/IEEE Smarter Planet Challenge prizes (2011, 2014) BU Engineering Distinguished Scholar Award (2014) IEEE and IFAC Fellowships CSS Distinguished Member Award As former Editor-in-Chief of IEEE Transactions on Automatic Control and President of the IEEE Control Systems Society, Dr. Cassandras has shaped global research directions. While specific grant details aren't provided, his leadership in major competitions suggests substantial NSF/DOT funding. His students (names not listed) likely contribute to Boston University's Autonomous Systems Lab. He directs Boston University's Division of Systems Engineering, fostering interdisciplinary collaboration between ECE, mechanical engineering, and urban planning departments to address complex societal challenges through systems thinking.
Satish C. Boregowda is a Senior Lecturer at the School of Mechanical Engineering, Purdue University in West Lafayette, Indiana. His work focuses on thermodynamics-based analysis of human physiological systems, energy systems engineering, and renewable energy integration. He is affiliated with Purdue's Mechanical Engineering department and maintains an office in POTR 322A. Education & Professional Background : While specific educational details are not provided, his long-term research contributions since 1992 indicate advanced expertise in thermodynamics, biomedical engineering, and energy systems. His career spans over three decades with continuous publication activity. Research Interests : Dr. Boregowda’s core research combines thermodynamics with human physiology, developing metrics like the Objective Stress Index (OSI) to quantify stress responses. His work also addresses energy security through renewable integration, entropy analysis in biological systems, and thermal comfort modeling. He applies constructal theory, fractional calculus, and finite element methods to model human thermal regulation and environmental interactions. Publications Trends : His articles (1992–2025) show sustained focus on: 1) Thermodynamic modeling of human stress and thermal comfort, 2) Renewable energy grid integration strategies, and 3) Advanced computational methods for physiological systems. Recent works emphasize decarbonization pathways and energy policy implications. Grants & Advising : No specific grants or advisees are listed in the provided data. His research likely involves collaborations with aerospace and environmental engineering groups given his work on thermal systems in microgravity and HVAC applications. Labs & Teams : While no specific lab affiliations are mentioned, his research aligns with Purdue’s mechanical engineering initiatives in renewable energy, biomedical engineering, and thermal systems design.
Youssef M. Marzouk is the Breene M. Kerr (1951) Professor of Aeronautics and Astronautics at MIT and co-director of the MIT Center for Computational Science and Engineering (CCSE). He is affiliated with the MIT Schwarzman College of Computing, the Statistics and Data Science Center, and the Aerospace Computational Design Laboratory. His research focuses on computational science and engineering, with an emphasis on uncertainty quantification, Bayesian modeling, data assimilation, and machine learning applied to physical systems. He holds a Ph.D. in Mechanical Engineering from MIT (2004), preceded by S.M. (1999) and S.B. (1997) degrees in Aeronautics and Astronautics from the same institution. Marzouk’s work bridges computational mathematics, statistical inference, and fluid dynamics, addressing challenges in energy systems and environmental modeling. He has received numerous awards, including the 2018 AIAA Associate Fellowship and the 2012 MIT Class of 1942 Career Development Chair. His teaching spans computational mathematics, fluid dynamics, and uncertainty quantification. Key collaborations involve the MIT CCSE and external institutions, with funding from DOE and NSF. He advises students on topics like stochastic modeling and inverse problems, and his research lab explores advanced computational methods for high-dimensional systems.
Dr. Victoria C. P. Chen is a Professor in the Industrial, Manufacturing, and Systems Engineering (IMSE) department at The University of Texas at Arlington (UTA), where she has served since 2002. She previously held positions at the Georgia Institute of Technology from 1993-2001. Dr. Chen has held several leadership roles at UTA, including Interim Department Chair (2012-2014), Director of the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) (2008-2012, and again from 2017-present), and Director of Doctoral Studies (2019-present). She was also the George & Elizabeth Pickett Professor from 2015-2017 and was inducted into the UT Arlington Academy of Distinguished Teachers in 2019. Dr. Chen is actively involved with INFORMS (Institute for Operations Research and the Management Science), where she currently serves as Secretary on the Executive Board. Dr. Chen earned her B.S. in Mathematical Sciences from The Johns Hopkins University, and her M.S. and Ph.D. in Operations Research and Industrial Engineering from Cornell University. Her academic journey includes visiting professorships at the University of Genoa, Italy, and Iowa State University. Dr. Chen's research utilizes statistical perspectives to create new methodologies for operations research problems appearing in engineering and science. Her expertise includes the design of experiments, statistical modeling, and data mining, particularly for computer experiments and stochastic optimization. Through her statistics-based approach, she has developed computationally-tractable decision-making methods for many high-dimensional complex systems. Her work spans multiple domains including sustainability, energy, water management, healthcare, and law enforcement. Specific application areas include inventory forecasting, airline optimization, water reservoir networks, wastewater treatment, air quality monitoring, green building design, nurse assignment systems, and pain management programs. Her recent publications demonstrate continued innovation in mixed integer programming for electric vehicle charging stations, vacuum ultraviolet spectroscopy prediction, and sustainable building education. Senior Member, Institute for Operations Research and the Management Sciences (INFORMS) (2024) Data Mining Prize (Lifetime Achievement Award), INFORMS Society on Data Mining (2023) College of Engineering Teaching Award, UT Arlington (2021) Third Place Award, C3.ai COVID-19 Grand Challenge (2020) Academy of Distinguished Teachers, University of Texas at Arlington (2019) George & Elizabeth Pickett Professorship (2015-2017) As an educator and mentor, Dr. Chen has advised over 25 doctoral students across diverse research topics in operations research and systems engineering. She has secured substantial research funding from multiple sources including the National Science Foundation (over $1.5 million in active projects), Environmental Protection Agency, National Institute of Justice, and industry partners like Luminant and Dallas-Fort Worth International Airport. Her current research projects focus on decision analytics for sustainable urban environments, optimization for Texas water management, and statistical methods for pain management programs. She has served as Principal Investigator or Co-PI on more than 20 externally funded research projects totaling over $3 million in funding. Dr. Chen co-founded the Center on Stochastic Modeling, Optimization, & Statistics (COSMOS) at UTA with Dr. H. W. Corley. This research center brings together faculty and students from multiple disciplines to address complex problems through advanced statistical and optimization methods. She also leads interdisciplinary research teams working on projects related to sustainable infrastructure, energy systems, and healthcare optimization, frequently collaborating with researchers from civil engineering, environmental science, and medical fields.
Professor Lynette Cheah is a leading academic in sustainable transport, holding the position of Professor and Chair of Sustainable Transport at the University of the Sunshine Coast (UniSC), Queensland, Australia. She directs the Sustainable Mobility Research Laboratory, focusing on data-driven models and digital tools to reduce transport environmental impacts. Her expertise spans smart cities, urban freight, transport modeling, and policy assessment. Educations: PhD in Engineering Systems (MIT) MSc in Management Science and Engineering (Stanford University) BSc in Civil and Environmental Engineering (Northwestern University) Research Interests: Lynette’s work integrates interdisciplinary approaches to address sustainable mobility challenges. Key areas include electric mobility, low-carbon transport infrastructure, transport equity, urban freight optimization, and climate policy. She collaborates with urban planners, computer scientists, and policymakers to translate research into real-world impact, such as leading UN climate reports and advising Singapore’s Public Transport Council (2019–2024). Publications & Awards: Lynette has authored over 70 peer-reviewed articles, including high-impact journals like Transportation Research and Nature Energy . Notable awards include the 2023 TRB Best Applied Research Paper Award and the 2020 Graedel Prize. Her work has been featured in CNN, Nature, and ChannelNewsAsia. Grants & Collaborations: Current projects include electric mobility lifecycle assessments, universal basic mobility trials, and low-carbon transport infrastructure studies. Past collaborations include foresight studies for Singapore’s 2040 urban mobility vision and material flow analyses for vehicle lightweighting. Labs & Teams: She leads the Sustainable Mobility Research Laboratory at UniSC, fostering innovation in smart city technologies and sustainable transport systems.
Canan ATILGAN is a Professor at the Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey. She has held leadership roles including Dean (2018-2020), Director of the Graduate School (2018-2020), and President of the Science Academy (2021-present). Her research focuses on computational tools for protein conformational transitions, allosteric communication, and antibiotic resistance mechanisms. Ph.D. (1996) and B.S. (1991) in Chemical Engineering from Boğaziçi University A pioneer in perturbation-response scanning and network-based protein modeling, her work bridges biophysics, structural biology, and molecular evolution. She has supervised 15 PhD and 17 MS students, emphasizing accessible computational biophysics education through workshops and seminars. Her recent publications highlight allosteric mechanisms in biosensors, β-lactam resistance via TolC dynamics, and evolutionary fitness landscapes. Awards include EMBO and Academia Europaea membership, L’Oréal Turkey Young Women Scientist Fellowship, and TÜBA-GEBİP Distinguished Young Scientist Award. President, Science Academy (2021) EMBO Elected Member (2023) TÜBA-GEBİP Distinguished Young Scientist (2004) She leads the MIDST Lab, contributes to Turkish science communication via sarkac.org, and organizes 'Dialogues in the MIDST' workshops for graduate students. Her work integrates theoretical models with experimental validation in iron transport proteins and resistance mechanisms.
Aakash Sahai is an Assistant Research Professor in the CEDC-Electrical Engineering department at the University of Colorado Denver - Denver Campus. His research focuses on advancing plasma physics, laser-plasma interactions, and nanoplasmonic technologies for high-energy particle acceleration. He is actively involved in designing novel accelerator concepts, such as nanostructure-based plasmonic accelerators capable of achieving extreme electric fields (PetaVolts/meter). His work bridges theoretical, computational, and experimental approaches to address challenges in high-gradient acceleration, plasma wakefields, and extreme nanoscience. Key research interests include laser-driven plasma acceleration, plasmonic field enhancement in nanostructures, and applications of particle beams in medical and high-energy physics. He collaborates on projects like the EuPRAXIA design study, aiming to develop compact, cost-efficient particle sources. His contributions span experimental setups, computational modeling, and innovative methodologies for radio transmission through plasmas and particle beam processing. Notable achievements include pioneering studies on relativistic surface plasmons, PetaVolt plasmonics, and optimizing laser-plasma interactions for proton/ion acceleration. His research has implications for next-generation accelerators, compact X-ray sources, and advanced plasma diagnostics. Sahai’s interdisciplinary approach integrates electrical engineering, material science, and high-energy physics to push the boundaries of accelerator technology. Advising and grants: No formal advisees or grant details listed. His work is supported by collaborations and institutional resources, including participation in national and international initiatives like Snowmass workshops. Labs/Teams: Active contributor to the EuPRAXIA consortium and affiliated with plasma physics and accelerator research groups at University of Colorado Denver.
Johanna Pirker serves as an Associate Professor at the Institute of Human-Centred Computing, Graz University of Technology, where she holds teaching authorization in Applied Computer Science. Her work bridges academic research with practical applications in interactive technologies, maintaining active consultation hours for students every Monday morning. Her research centers on human-centered computing with emphases on virtual/augmented reality systems, serious game design, and AI-driven interactive experiences. She investigates player behavior, user experience optimization, and therapeutic/educational applications of immersive technologies across diverse contexts including rehabilitation, engineering education, and social platforms. Recent 2025 publications reveal strong trends in AI integration for gaming ecosystems (toxicity detection, dialogue systems), VR-based educational tools across disciplines, and cross-cultural analyses of gaming communities. Her work consistently combines experimental user studies with novel system development to address real-world challenges. While specific grant details and student advising records aren't documented in source materials, her extensive publication output across venues like FDG and iLRN indicates active leadership in interdisciplinary collaborations focused on advancing immersive technologies for societal benefit.
