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Daniel LundinView profile

Associate Professor

• Plasma Physics
• Thin Film Deposition
• High Power Impulse Magnetron Sputtering
• +5 more

Daniel Lundin is a Senior Associate Professor and Head of Unit at Linköping University's Department of Physics, Chemistry and Biology, where he leads the Thin Film Physics (TUNNF) division. He also holds a Guest Professor position in the Coatings & Plasma Physics Division. Lundin earned his Ph.D. from Linköping University in 2010 and has conducted research at the Royal Institute of Technology (KTH), Kiel University (Germany), and CNRS/Paris-Saclay University (France). He is the co-founder of Ionautics, a Swedish thin film technology company. Lundin's research focuses on plasma discharge development and characterization, particularly High Power Impulse Magnetron Sputtering (HiPIMS). His current investigations include: Plasma process control for reactive gas deposition (oxygen/nitrogen) Non-invasive real-time plasma diagnostics Digitalization of deposition processes for Industry 4.0 integration Ionized flux control for enhanced thin film properties His publications demonstrate a consistent focus on plasma discharge optimization, thin film deposition mechanisms, and advanced materials characterization. Recent work emphasizes process control, plasma diagnostics, and the development of high-performance functional coatings for industrial applications. Awards and recognitions: Author of the first comprehensive book on HiPIMS (Elsevier, 2020) IOP Trusted Reviewer recognition Winner of Mentor4Research award Lundin leads research in plasma physics and thin film technology at Linköping University, driving innovations in deposition techniques while collaborating with industry through Ionautics. His work bridges fundamental plasma physics with industrial thin film applications.

• Wearable Technology
• Human-Computer Interaction
• Smart Textiles
• +7 more

Dr. Bai Ziqian is an Assistant Professor in the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (SUSTech) in Shenzhen, China. Recognized as a Pujiang Scholar and Shenzhen Pengcheng Peacock Talent, she has established herself as a leading researcher at the intersection of wearable technology, textile engineering, and human-computer interaction. Her work bridges technical innovation with practical design applications, focusing on user-centered solutions that enhance human experience through technology integration. Dr. Bai's educational background includes: PhD in Smart Wearable Product Design (2011-2015), Hong Kong Polytechnic University MA in Fashion and Textile Design (2005-2006), Hong Kong Polytechnic University BA in Fashion Design and Engineering (2001-2005), South China Agricultural University Her research spans wearable technology, tangible interactive interfaces, IoTs, ergonomics, functional garments, wearables for healthcare, material innovation, smart home applications, and user-centered design. Dr. Bai has pioneered work in smart wearable fabrics and sensing mechanisms based on flexible materials, with a particular focus on human-computer interaction theory and practice. She has established a research team that has mastered key technologies in smart fabrics, interactive textiles, physiological signal monitoring, and human-computer interaction systems. Her approach consistently emphasizes user-centered design principles, ensuring that technological innovations serve practical human needs while maintaining aesthetic appeal. Dr. Bai's publication record demonstrates a clear evolution from foundational work in photonic textiles toward increasingly sophisticated wearable healthcare and human-computer interaction systems. Her recent publications focus on advanced sensor technologies, energy harvesting for wearables, and sophisticated data analysis for human motion and physiological monitoring. The interdisciplinary nature of her work is evident in publications spanning materials science, biomedical engineering, textile technology, and design methodology, with papers appearing in high-impact journals including Advanced Functional Materials (IF: 19.5), ACS Sensors (IF: 8.9), and Computers in Industry (IF: 10). Dr. Bai has received numerous prestigious awards that highlight both the technical and artistic dimensions of her work: 2024 German Red Dot Design Award for Best Design 2013 Neo-Neon, permanent collection at China Silk Museum (State grade 1 museum) 2019 Finalist, ThermoBlanket, TechStyle for Social Good International Competition 2017 1st Prize Teaching Award, Donghua University 2017 China National Textile and Apparel Council Teaching Award Multiple Service Learning Awards from Hong Kong Polytechnic University She has successfully secured research funding from prestigious sources including the National Natural Science Foundation of China and Guangdong Province's General Project. Her projects include a collaborative effort with the Guangdong Provincial Department of Education and Li Ning Company on a 'flexible wearable lower limb functional electrical stimulation system.' Dr. Bai has extensive teaching experience across multiple institutions and has guided student teams to success in national competitions. She currently leads the Human-Computer Interaction Design Laboratory (HCID) at SUSTech, which focuses on advanced design, engineering, and technology research at the intersection of disciplines, training the next generation of interdisciplinary designers and engineers.

• Computational Design and Fabrication
• Design for Additive Manufacturing
• Adaptive Process Planning
• +6 more

Dr. Xiong Yi is an Assistant Professor at the School of System Design and Intelligent Manufacturing (SDIM) at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He leads the Computational Design and Fabrication (CoDeFab) research group, focusing on the integration of computational design methods with advanced manufacturing technologies, particularly in the field of additive manufacturing. Dr. Xiong has established himself as a leading researcher in computational design for additive manufacturing, with a strong international research background spanning Europe and Asia. Dr. Xiong's educational journey includes: Doctor of Science (DSc) in Engineering Design and Production from Aalto University, Finland (2012-2016) Master of Science (MSc) in Machine Automation from Tampere University of Technology, Finland (2010-2012) Bachelor of Engineering (BEng) in Mechanical Engineering from Hubei University of Technology, China (2006-2010) Dr. Xiong's research primarily focuses on computational design and fabrication methodologies, with particular emphasis on design for additive manufacturing (DfAM), intelligent manufacturing systems, and smart materials. His work bridges the gap between theoretical design principles and practical manufacturing constraints, developing novel approaches for the production of complex engineered products. He has pioneered research in continuous fiber-reinforced composite additive manufacturing, developing innovative process planning and optimization techniques that enable the production of high-performance structural components. His research in electrothermally controlled origami and 4D printing of smart materials represents cutting-edge work at the intersection of materials science, mechanical engineering, and computational design. Dr. Xiong's recent publications reveal a strong focus on continuous fiber-reinforced composites, with significant contributions to 4D printing, metamaterials, and intelligent process planning. His work integrates computational design with manufacturing constraints, creating novel approaches for topology optimization, toolpath planning, and structural design that consider both performance requirements and manufacturability limitations. The research demonstrates increasing sophistication in materials science applications, particularly in programmable materials and multi-functional structures. Dr. Xiong has received multiple prestigious awards for his research contributions, including: Best Presentation Award at the 24th Chinese Conference on Mechanisms and Machine Science (IFToMM CCMMS2024) Best Presentation Award at the International Conference on Frontiers of Additive Manufacturing Research (RAAM 2024) Best Paper Award at the International Conference on Design for 3D Printing (ICD3DP 2023) PhD Scholarship from Aalto University (2016) Research Travel Grant from the International Association for Vehicle System Dynamics (IAVSD) (2013) National Scholarship from the Ministry of Education (2008) As a dedicated educator and mentor, Dr. Xiong serves as a PhD supervisor at SUSTech and has successfully guided students who have gone on to pursue advanced studies and careers at prestigious institutions including Hong Kong Polytechnic University, Beihang University, DJI Innovations, and Singapore's A*STAR research institute. His research is supported by multiple competitive grants, including key projects from the National Key R&D Program of China, the National Natural Science Foundation of China, and provincial and municipal funding agencies. Dr. Xiong also serves on the editorial board of the Journal of Engineering Design and as a guest editor for Composites Communications, contributing to the advancement of his field through scholarly service. Dr. Xiong leads the CoDeFab research group, which maintains a strong collaborative culture focused on 'design leading manufacturing, manufacturing driving design, and digital-intelligent integration.' The group has developed several advanced manufacturing platforms, including multi-axis continuous fiber-reinforced composite additive manufacturing systems, smart composite additive manufacturing platforms, and multifunctional soft matter open manufacturing platforms. With a focus on practical applications and innovation, the CoDeFab group actively collaborates with industry partners and has established a joint laboratory to bridge academic research with industrial implementation.

Audrius DubietisView profile

Professor

• Ultrafast nonlinear optics
• Laser-matter interaction
• Femtosecond filamentation
• +3 more

Audrius Dubietis serves as Professor and Lead research scientist at Vilnius University's Laser Research Center (LRC), Faculty of Physics. He currently directs the Excellence Center of Advanced Light Technologies, a major national initiative funded by the Ministry of Education, Science and Sports of Lithuania with a 5.5 million Euro budget (2023-2027), and leads the FEMTOLAMA project on high repetition rate femtosecond laser-matter interactions. Dubietis specializes in ultrafast nonlinear optics, with research spanning laser-matter interaction, femtosecond filamentation, and supercontinuum generation in solid-state media. His pioneering work on table-top optical parametric chirped pulse amplifiers has advanced the field over three decades. His theoretical framework for understanding light bullets in Kerr media (Physical Review Letters 112, 193901, 2014) represents a significant contribution to nonlinear optics. Current research focuses on high repetition rate supercontinuum generation using burst-mode femtosecond lasers, with particular emphasis on comparative studies across crystalline materials to optimize performance for specific applications. Analysis of his recent publication record reveals a strategic shift toward practical applications of supercontinuum sources, with increasing attention to thermal management in high repetition rate systems and development of robust, turnkey solutions for industrial and scientific use. His work bridges fundamental nonlinear optics with practical engineering considerations. National Science Prize (2004, 2019) Vilnius University Rectors prize for the best publication in physical sciences (2014) Vilnius University Rectors prize for scientific achievements (2009, 2018) Dubietis has supervised eight doctoral students through completion, with research spanning spatiotemporal light bullets, parametric interactions for ultrashort pulse generation, and supercontinuum generation in novel materials. His research program maintains strong international collaboration, particularly with Ecole Polytechnique (France), and includes significant funding from the Lithuanian Science Council. He serves on the editorial board of the Lithuanian Journal of Physics and was Lead guest editor for the Journal of the Optical Society of America B feature issue on Supercontinuum generation (2019). As a member of the Lithuanian Academy of Sciences since 2019, Dubietis plays a pivotal role in advancing laser science in Lithuania. He teaches core courses in Laser Physics (undergraduate), Nonlinear Optics (graduate), and Modern Optics and Spectroscopy (PhD program), while maintaining active engagement with the public through popular science lectures and his Lithuanian-language book 'Nuostabusis švytėjimas: padangių fizika be formulių' (2014).

Yonathan ShapirView profile

Professor

• Theoretical Condensed-Matter Physics
• Statistical Mechanics
• Disordered Systems
• +6 more

Professor Yonathan Shapir is a full Professor in the Department of Physics at the University of Michigan, with a joint appointment in Chemical Engineering. Since his arrival in 1985, he has advanced from Assistant Professor to full Professor, pursuing theoretical condensed-matter physics and statistical mechanics. Education: B.Sc. in Physics, Tel-Aviv University (1971) Ph.D. in Physics, Tel-Aviv University (1981) Research Interests: Professor Shapir’s work centers on understanding complex disordered systems through statistical mechanics. His investigations encompass critical phenomena in spin-glasses and random-field systems, classical and quantum transport in dirty metals leading to the metal-insulator transition, polymer statistics, fractal properties of percolation clusters, and kinetic models of surface growth and aggregation. These themes are unified by a deep interest in scaling laws, universality, and the emergent geometry of random media. Publication Trends: Between 2001 and 2010, his articles reveal a concentrated effort on diffusion in dynamically disordered environments, scaling behavior of growing surfaces, and the morphology of organic thin films such as pentacene. Earlier work (1996–2000) explored critical dynamics of dendrimers, surface growth on disordered substrates, and transitions in crystalline roughness. The breadth spans from fundamental statistical-physics questions to applications in materials science and organic electronics. Scientific Awards: Fulbright Award (1981) Bourse Joliot-Curie (1982) Visiting Compton Fellowship at the Technion (1989–1990) Advising & Grants: No explicit lists of students or current funding are provided in the material; however, his extensive publication record with numerous co-authors suggests active mentoring and collaboration. Future directions likely continue along the interface of statistical mechanics and nanoscale materials. Labs & Teams: While no specific laboratory names are given, Professor Shapir’s joint appointment implies active participation in both the Physics Department and the Chemical Engineering program, fostering interdisciplinary teams working on materials growth, transport phenomena, and computational statistical physics.

Sonia Lopez AlarconView profile

Associate Professor

• Quantum Computing
• Computer Architecture
• Heterogeneous Computing
• +2 more

Sonia Lopez Alarcon is an Associate Professor in the Department of Computer Engineering at the Kate Gleason College of Engineering, Rochester Institute of Technology (RIT). She has been a faculty member since 2009, teaching core courses like Computer Organization and developing quantum computing curricula including the new CMPE-257 undergraduate course and CMPE-757 graduate course. Her research bridges computer architecture and quantum computing with emphasis on practical quantum circuit implementation. Her educational background includes a Bachelor of Physics and Master's in Device Physics from the University Complutense of Madrid (2002), followed by a PhD in Computer Engineering (2009) where she researched cache hierarchy in simultaneous multithreaded architectures. During her studies, she gained industry experience at Lucent Technologies and Fundetel working on integrated circuit design. Dr. Lopez Alarcon's primary research focuses on Quantum Computing and heterogeneous hardware solutions, specifically quantum circuit compilation processes, scalability challenges, and error resilience techniques. She investigates how to translate theoretical quantum algorithms into executable circuits while managing noise and resource constraints, with applications in optimization problems and physics simulations. Her work connects computer engineering principles to emerging quantum technologies. Analysis of her publication timeline shows a strategic shift from traditional computer architecture (2015-2018 cache/HLS research for GPU/heterogeneous systems) to quantum computing (2019-2021). Recent work explores quantum algorithms for combinatorial optimization (Grover's), quantum simulation of physical systems, and machine learning applications, reflecting her adaptation to the rapidly evolving quantum landscape while maintaining her architectural expertise. Her teaching excellence has been recognized through multiple awards: Kate Gleason College of Engineering Exemplary Performance in Teaching Award (2016, 2017, 2020) Computer Engineering Most Effective Teacher Award (2016) She actively mentors graduate students including Mark Danza (MS Computer Engineering candidate 2025), with whom she collaborated on quantum machine learning research featured in Quantum Zeitgeist (May 2025). She contributes to RIT's quantum information science minor launched in 2022, developing curriculum and supervising student research in this emerging field. Dr. Lopez Alarcon leads quantum computing research efforts within RIT's Department of Computer Engineering, collaborating with colleagues like Cory Merkel on quantum algorithm applications. Her work is supported through her personal research website and integration into university-wide quantum initiatives, positioning her at the forefront of academic quantum computing education and research.

Seden Acun ÖzgünlerView profile

Professor

• Durability
• Damage
• Maintenance and Repair in Architectural Structures
• +5 more

Prof. Dr. Seden Acun Özgünler is a faculty member at the Faculty of Architecture, Istanbul Technical University , where she has served as Professor since 2021. Her research spans material science in architecture, focusing on durability, maintenance, and sustainable building technologies . She has supervised numerous theses and led projects on natural binders, thermal insulation, and historical preservation . Education: PhD in Building Science (Dr), Istanbul Technical University. Academic Roles: Department Head (2023), Associate Professor (2013-2021), Research Assistant (1999-2003). Research Trends include: Material Innovation: Mycelium-based composites, natural hydraulic binders, and geopolymer concrete. Sustainability: LCIA models, waste material utilization, and energy-efficient designs. Historical Preservation: Volcanic tuff conservation, grouting methods for masonry repair, and adaptive reuse of structures. Scientific Awards: 2nd Young Türkiye Summit Academy Award (2017) for Mimar Sinan Cultural Wealth Preservation. Publication-based Academic Performance Awards (2022, 2025) from Istanbul Technical University. Key Projects involve biocomposite materials, natural cement reproduction, and chromic glass applications in facades. Her work bridges traditional building techniques with modern sustainability through experimental and computational approaches.

Kallol MondalView profile

Professor

• Corrosion
• Oxidation
• Metallic glasses
• +7 more

Professor Kallol Mondal is a distinguished faculty member in the Department of Materials Science and Engineering at the Indian Institute of Technology Kanpur. With a PhD from IIT Kharagpur, he has established himself as an expert in corrosion science, metallic glasses, and advanced steel development. His research focuses on fundamental aspects of material behavior under various environmental conditions, with practical applications in railway infrastructure, high-performance alloys, and nanotechnology. PhD from IIT Kharagpur (2005) Postdoctoral research at NIMS, Japan (2005-2007) Associate Professor at IIT Kanpur (2012-present) Visiting Associate Professor at University of British Columbia, Canada (2013) Professor Mondal's research spans multiple domains of materials science, with particular emphasis on corrosion/oxidation mechanisms, phase transformations, and development of novel metallic alloys. His work combines theoretical thermodynamics with practical applications, resulting in breakthroughs in corrosion-resistant steels, metallic glasses, and nanoporous materials. His laboratory focuses on non-equilibrium processing techniques that enable the creation of materials with exceptional mechanical properties. Analysis of his recent publications reveals a strong focus on corrosion mechanisms in various steel alloys, particularly for railway applications. His work also prominently features research on metallic glasses, nanoporous materials, and advanced ceramic composites. The interdisciplinary nature of his research bridges fundamental materials science with practical engineering applications. P K Kelkar Young Faculty Research Fellowship (2012) Best paper award in CORCON 2010 Best poster award at ADNAN 2013 Recognized among top 20% reviewers for Metallurgical and Materials Transactions A Professor Mondal has successfully mentored numerous PhD and M.Tech students, with research projects spanning corrosion science, metallic glasses, steel development, and nanoporous materials. His Non-equilibrium Processing & Corrosion Laboratory at IIT Kanpur serves as a hub for innovative research in materials degradation and prevention. His collaborations extend internationally, including significant work with researchers at the University of British Columbia.

• Special functions
• Fractional calculus
• Mathematical Physics
• +2 more

Praveen Agarwal is a Professor of Mathematics at the Department of Mathematics, International College of Engineering, located near Kanota, Agra Road, Jaipur-303012, Rajasthan, India. He also maintains a significant affiliation with the Lepage Research Institute in Slovakia. His academic profile demonstrates a strong international presence with collaborations spanning multiple continents. Dr. Agarwal's research expertise centers on Special functions , Fractional calculus , and Mathematical Physics . His work in fractional calculus represents cutting-edge contributions to this specialized mathematical field, developing theoretical frameworks with applications across diverse scientific disciplines. His research in special functions has led to numerous extensions and generalizations of classical mathematical constructs, creating innovative tools for solving complex differential equations. In mathematical physics, he applies rigorous analytical techniques to model physical phenomena, particularly those involving wave propagation, diffusion processes, and energy systems. Analysis of Dr. Agarwal's extensive publication record reveals a sophisticated approach to fractional-order differential equations with applications spanning viscoelastic wave behavior, neural networks, energy storage systems, and biomedical engineering. He frequently develops novel mathematical methods, including specialized integral transforms and polynomial-based solution techniques, to address complex nonlinear systems. His research consistently bridges pure mathematical theory with practical engineering applications, particularly in areas requiring precise modeling of memory effects and non-local phenomena. The interdisciplinary nature of his work is evident in publications addressing both theoretical mathematics and practical engineering challenges. Dr. Agarwal maintains active research collaborations with prestigious institutions worldwide, including The Union of Czech Mathematicians and Physicists, University of Prešov in Prešov, Eötvös Loránd University, Italian Society for General Relativity and Gravitation, Transilvania University of Brasov, VŠB-TU Ostrava, and Lodz University of Technology. These international partnerships reflect the global recognition of his contributions to mathematical sciences and demonstrate his ability to work across disciplinary boundaries to solve complex problems.

• Organic Functional Materials
• Materials Informatics
• Structural Organic Chemistry
• +4 more

Takuya Taniguchi is an Associate Professor at the Center for Data Science, Waseda University, where he has been employed since 2019, first as an Assistant Professor (2019-2021) before promotion to his current non-tenure track position. His interdisciplinary research bridges organic chemistry, materials science, and data science, with a focus on developing and analyzing functional organic materials, particularly photo-responsive molecular crystals. He maintains active collaborations with research groups including Hideko Koshima and Toru Asahi, and serves on professional committees such as the Manufacturing Industry AI Promotion Association. Education Doctor of Engineering, Waseda University (2019) Graduate studies at Waseda University's Graduate School of Advanced Science and Engineering Undergraduate studies at Waseda University's School of Advanced Science and Engineering, Department of Life Science and Medical Bioscience Research Focus Professor Taniguchi's work centers on structural organic chemistry and physical organic chemistry , with particular emphasis on organic functional materials and the application of materials informatics to crystal engineering. His research investigates how molecular structure influences macroscopic mechanical properties, especially photo-mechanical behaviors in organic crystals. He has pioneered the use of machine learning techniques to predict crystal properties, optimize materials performance, and design novel functional materials with applications in soft robotics and energy conversion. His recent work demonstrates a clear progression from fundamental studies of photo-mechanical crystals toward increasingly sophisticated applications of machine learning in materials science. The 15 most recent publications reveal a strong focus on neural network potentials for crystal property prediction, optimization of photo-actuated materials, and exploration of phase transitions in molecular crystals. This research trajectory shows consistent innovation in combining experimental chemistry with advanced computational methods. Awards and Recognition Inoue Research Encouragement Prize (2019) Ono Azusa Memorial Award from Waseda University (2019) Student Presentation Award at Japan Chemical Society 99th Spring Annual Meeting (2019) Poster Presentation Award at Chirality 2017 Multiple poster and presentation awards at international crystallography conferences Research Leadership Dr. Taniguchi leads multiple research projects funded by JSPS, JST, and industry partners including ENEOS Corporation and Sumitomo Foundation. His current projects include 'Efficient crystal structure prediction for organic porous materials,' 'Machine learning simulation of HOF material stability,' and 'Machine learning application for organic solid-phase transition.' He has successfully secured competitive funding including JST ACT-X and JSPS Early-Career Scientist grants. His work has received significant media attention, with coverage in Nikkan Kogyo Shimbun and Kagaku Kogyo Nippo highlighting breakthroughs in light-driven organic crystals with 3.7x improved output force. Academic Contributions Beyond research, Professor Taniguchi teaches extensively in Waseda's Global Education Center, offering courses in data science, statistical analysis with R, and statistics literacy across multiple academic quarters. He has contributed chapters to technical publications on process informatics, Bayesian optimization, and crystallization process design. His scholarly impact is evidenced by an h-index of 11 (Google Scholar) with 581 total citations, demonstrating significant influence in the emerging field of materials informatics for organic crystals.

• Additive Manufacturing
• Metamaterials
• Auxetic Materials
• +12 more

Prof Arun Arjunan is a Professor in Research at the University of Wolverhampton , affiliated with the Faculty of Science and Engineering and the School of Engineering . He serves as the Director of the Centre for Engineering Innovation and Research (CEIR) and leads the Additive Manufacturing of Functional Materials (AMFM) research group. His roles span academic leadership, research, and teaching in advanced manufacturing and materials science. PhD in Structural Mechanics and Vibro-Acoustics (University of Wolverhampton, 2014) PgCert in Higher Education (2014) Senior Fellow of the Higher Education Academy (SFHEA, 2015) His research focuses on additive manufacturing of metamaterials , including auxetic structures, meta-biomaterials for tissue regeneration, infection-resistant implants, and acoustic metamaterials for noise control. He has pioneered the development of Herschel Quincke-Arjunan waveguides for passive noise cancellation. His work integrates numerical modeling, mechanical testing, and advanced fabrication techniques. His recent publications span biomedical engineering , sustainable materials , environmental technology , and energy systems , with a strong emphasis on 3D printing applications. Themes include personalized implants, water purification using natural coagulants, and sustainable manufacturing. His work demonstrates a multidisciplinary approach bridging engineering, biology, and environmental science. Vice Chancellor’s Award for Outstanding Contribution to Research (2020) UK Engineering Innovation Award (2021) THE ENGINEER UK Collaborate to Innovate Finalist (2021) Nominated for Blavatnik Awards (2019, 2020) GKN Award (2011) Senior Fellow, Higher Education Academy (2015) Arun actively supervises PhD students and has secured research grants from the UK Department of Transport (DfT) , Innovate UK , European Union (ERASMUS+) , and industrial partners. He previously served as Course Leader for Mechanical Engineering (BEng/MEng) and led TEF and NSS enhancements in the School of Engineering. He teaches advanced modules such as Advanced FEA and Applied Stress Analysis . He leads the AMFM Research Group and CEIR , fostering interdisciplinary collaboration with post-docs, research technicians, and PhD students. He is also a member of the BSI AMT/8 Additive Manufacturing standards committee and has served as an external examiner for the University of Greenwich.

Manos AthanassoulisView profile

Associate Professor

• Data Systems
• Cloud Data Management
• Database Systems
• +7 more

Manos Athanassoulis is an Associate Professor in the Department of Computer Science at the College of Arts and Sciences, Boston University. He is the Founder and Director of the BU Data-intensive Systems and Computing (DiSC) lab and a member of the BU MiDAS group. His research focuses on data systems, particularly cloud data management, hybrid transactional/analytical workloads, and integration with emerging hardware such as non-volatile memory and heterogeneous computing. His educational background includes a PhD from EPFL (2014), an MSc in Computer Systems Technology, and a BSc in Informatics and Telecommunications from the University of Athens, Greece. Prior to BU, he was a Postdoctoral Researcher and Research Associate at Harvard University, supported by a SNSF Postdoc Mobility Fellowship. His research interests span data systems, database architectures, LSM trees, indexing, storage systems, and performance optimization. He explores how novel hardware can be leveraged to improve data management efficiency and scalability, especially in cloud environments. His recent publications (2021–2025) predominantly focus on LSM trees, covering topics such as compaction policies, Bloom filter tuning, DPU offloading, adversarial resilience, and sustainable caching. Earlier works include foundational contributions on access methods (RUM Conjecture) and optimal key-value stores (Monkey). The trend shows a consistent focus on data system efficiency, adaptability, and robustness under varying workloads and hardware constraints. Scientific Awards: NSF CAREER Award (2022) Facebook Faculty Research Award (2020) NSF CRII Award (2019) Best of VLDB 2017 and Best of SIGMOD 2017 SIGMOD Most Reproducible Paper Award (2017) Multiple ACM SIGMOD Distinguished PC Member recognitions (2018–2025) VLDB 2023 Best Demo Award RedHat Collaboratory Research Incubation Awards (multiple, 2021–2023) SNSF Postdoc Mobility Fellowship (2015–16) IBM PhD Fellowship (2011–12) Dr. Athanassoulis has advised numerous students and collaborators, evident from his co-authorship on works with researchers such as Niv Dayan, Stratos Idreos, and A. Ailamaki. His grants include major awards from NSF, Facebook, and RedHat, supporting research in robust data systems, hardware-software co-design, and learned cost models. He has also been recognized for teaching excellence at Harvard University. He leads the DiSC lab at Boston University, which focuses on data-intensive computing and systems research. The lab explores next-generation data architectures, particularly in cloud and hardware-aware environments. Collaborations with the BU MiDAS group enhance interdisciplinary research in data science and AI.

Cao HaishanView profile

Associate Professor

• Cryogenic Cooling
• Micro Cryocoolers
• Joule-Thomson Cooling
• +12 more

Cao Haishan is an Associate Professor at Tsinghua University, affiliated with the Department of Energy and Power Engineering in the School of Mechanical Engineering. His research focuses on cryogenic cooling systems, high heat flux thermal management, and the physics of amorphous ice formation and phase transitions. He leads a research group supported by the National Natural Science Foundation of China and industry partners including Huawei, Midea, and Lenovo. Ph.D., Mechanical Engineering, University of Twente, 2013 M.Sc., Chemical Engineering, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 2009 B.Sc., Chemical Engineering, Zhejiang University, 2006 Dr. Cao's research spans three major areas: cryogenic cooling (including micro cryocoolers and sorption systems), high heat flux electronic cooling (especially with non-condensable gases), and the formation and transformation of amorphous water ice. His work combines theoretical modeling, computational simulation, and experimental validation, often at micro and nano scales. He applies principles from thermodynamics, fluid dynamics, and materials science to solve engineering challenges in refrigeration and thermal control. The recent publications reflect a strong trend toward interdisciplinary research, integrating machine learning for heat transfer prediction, computational screening of MOFs for cryogenic switches, and fundamental studies of ice nucleation on various substrates. The articles span journals in physics, engineering, materials, and applied thermal sciences, indicating broad impact across multiple domains. Notable scientific awards include: Gustav and Ingrid Klipping Award (2016) Cryogenics Best Paper Award (2017) Annual Teaching Excellence Award, Tsinghua University (2023) Excellent Supervisor Award, Tsinghua University (2024) Multiple First Prize Advisor awards in national student contests on energy saving Dr. Cao has been principal investigator on several grants, including projects funded by the National Natural Science Foundation of China on amorphous ice lifetime and micro-cryocooling for semiconductor chips. He has also led industry-university collaborations with Huawei, Midea, and Lenovo. He advises graduate students and leads a research team focused on next-generation cooling technologies. He serves on editorial boards for Journal of Refrigeration , Vacuum and Cryogenics , and Energies , and has chaired sessions at major international conferences such as ICEC-ICMC and ACTS. His research group operates within the Institute of Thermophysics at Tsinghua University, leveraging facilities in the Lee Shau Kee Science and Technology Building. The team collaborates with national laboratories and international institutions, particularly maintaining ties with the University of Twente. Current efforts are directed toward ultra-low vibration cooling, efficient separation of non-condensable gases, and extending the stability of amorphous ice for cryobiological applications.

Alan MantoothView profile

Professor

• Analog and Mixed-Signal IC Design
• Power Electronics
• Semiconductor Device Modeling
• +3 more

Alan Mantooth is a Distinguished Professor holding the Twenty-First Century Research Leadership Chair in Engineering within the Department of Electrical Engineering at the University of Arkansas, Fayetteville. He serves as Director of the National Center for Reliable Electric Power Transmission (NCREPT), Executive Director for GRAPES (NSF I/UCRC) and SEEDS (DoE Center), and Deputy Director of the NSF Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS). His educational background includes: B.S. in Electrical Engineering, University of Arkansas M.S. in Electrical Engineering, University of Arkansas Ph.D. in Electrical Engineering, Georgia Institute of Technology Dr. Mantooth's research centers on analog/mixed-signal IC design, power electronics CAD, and semiconductor device modeling with emphasis on harsh-environment applications. His pioneering work in silicon carbide (SiC) and gallium nitride (GaN) power systems has enabled high-temperature operation for electric vehicles and renewable energy infrastructure, significantly advancing reliability in extreme conditions. His 2025 publications reveal strong trends toward AI-driven power electronics (e.g., SolarFormer++ for PV profiling), wide-bandgap device modeling (β-Ga2O3, SiC), and innovative packaging solutions. Key themes include reliability engineering for extreme environments, multi-physics optimization, and explainable AI for safety-critical power systems. Major scientific recognition includes: IEEE Fellow (2009) for power electronic device modeling Three R&D 100 Awards (2009, 2014, 2016) for SiC power modules IEEE Power Electronics Society Technical Achievement Award (2019) Multiple university teaching/research awards including SEC Faculty Achievement Award (2015) As an exceptional mentor (UA Outstanding Mentor 2006-2008), he co-founded Lynguent and Ozark Integrated Circuits. His centers NCREPT, GRAPES, and SEEDS have secured major funding from NSF, DoE, and industry partners, supporting over 350 refereed publications and numerous patents. Current research focuses on AI-enhanced power electronics, recyclable packaging, and next-generation wide-bandgap device characterization. He leads the NCREPT test facility and multi-institutional teams developing grid-connected power electronic systems, secure energy delivery architectures, and thermal management solutions for high-power-density applications, with direct impact on electric transportation and renewable energy integration.

Isnaldi R. Souza FilhoView profile

Professor

• Sustainable Metallurgy
• Green Steel
• Hydrogen Plasma Reduction
• +4 more

Isnaldi R. Souza Filho is a Junior Professor (Chair of Sustainable Metallurgy) at the French National Centre for Scientific Research (CNRS) , affiliated with the Institut Jean Lamour (UMR 7198), Université de Lorraine . He also serves as Group Leader for Sustainable Synthesis of Materials at the Max Planck Institute for Sustainable Materials since 2021. Education: PhD, MSc, and BSc in Materials Engineering from the University of São Paulo (2016-2019, 2013-2015, 2008-2013). Research Interests: Focus on sustainable metallurgy , particularly hydrogen plasma-based reduction of iron ores and microstructural characterization of Mn-containing steels . His work addresses decarbonization in steel production, scrap-compatible alloy design , and waste valorization (e.g., red mud conversion to green steel). Publication Trends: Recent studies emphasize hydrogen plasma smelting reduction of iron ores, kinetic modeling of reduction processes, and microstructure engineering for enhanced mechanical properties. Collaborative work spans CO2-neutral steelmaking , elemental partitioning , and high-entropy alloy synthesis . Scientific Awards: CAPES Thesis 2020 for Best National Doctoral Thesis in Engineerings II (Brazil) Multiple undergraduate awards (CREA-SP, ABM, Engineering Institute) for top academic performance in 2013 Grants and Affiliations: Affiliated with the Dierk Raabe Lab at the Max Planck Institute and leads the Sustainable Synthesis of Materials group. Research funded by institutions supporting climate-neutral metallurgy and recycling strategies .