Find Academic Supervisors

• Nuclear Engineering
• Plasma Physics
• Thermal Hydraulics
• +3 more

Dr. Lluis Batet Miracle is a Professor at the Universitat Politècnica de Catalunya (UPC) with the Department of Physics . He leads the Advanced Nuclear Technologies Research Group (ANT) and has contributed extensively to nuclear fusion technology, thermal hydraulics, and liquid metal systems. His work spans reactor safety analysis, tritium processing, and magnetohydrodynamic modeling. Expertise : Nuclear Engineering, Plasma Physics, Computational Fluid Dynamics, Fusion Reactor Design, Tritium Management Notable Projects : CONSOLIDER TECNO-FUS (2009-2013), EURATOM collaborations, HCLL Breeding Blanket Systems for ITER Research Trends : Recent publications focus on helium solubility in liquid metals, bubble dynamics in fusion blankets, and MHD simulations under nuclear conditions. His work combines atomistic modeling, high-fidelity CFD, and experimental validation for tritium and hydrogen systems in fusion reactors. Collaborations : Regularly works with Luis Sedano, Eduardo Ríos, Jordi Martí, Francesc Reventos, and Elisabet Mas de les Valls Grants : Involved in Horizon Europe, EURATOM, and Spanish National Research programs

Markus BorgView profile

Lecturer

• Artificial Intelligence
• Software Engineering
• Empirical Software Engineering
• +11 more

Dr. Markus Borg is a Senior Researcher and Adjunct Lecturer at Lund University, Sweden, specializing in the intersection of software engineering and applied artificial intelligence. He is a Principal Researcher at CodeScene and contributes to editorial boards for Empirical Software Engineering and IEEE Software . His work bridges academic research with industrial practice through collaborations with Ericsson and contributions to open-source tools like SMIRK. Markus's research focuses on empirical software engineering , technical debt , safety engineering , and requirements engineering for AI-integrated systems. He explores two key directions: AI4SE (applying machine learning to software engineering challenges like defect management and technical debt remediation) and SE4AI (ensuring quality assurance for ML components in safety-critical domains such as automotive systems). His work aligns with regulatory frameworks like the EU AI Act and industry standards for automotive safety. 2025 Contributions : Gamify Track: Two papers on gamification in software maintainability ICSE Journal-First: Longitudinal study on automated bug assignment at Ericsson IDE Track: Trust calibration in AI-assisted refactoring TechDebt Technical Papers: ACE tool for LLM-based technical debt remediation 2024 Contributions : PROFES: AI Act compliance in requirements engineering MO2RE: Code quality specifications TechDebt: Maintainable code ROI analysis Programming with AI: CodeScene platform demonstration 2023 Contributions : CAIN: ML testing in automotive perception systems EASE: Code ownership and defect resolution Mutation Track: Safety-critical mutation testing validation His recent publications emphasize automated defect management , LLM-driven refactoring , and safety validation for ML components , particularly in automotive contexts. Tools like SMIRK and ACE demonstrate practical applications of his research. Markus actively participates in program committees for ICSE, TechDebt, and ICSME, with a focus on bridging academic research with industrial AI/SE challenges.

Jochum WiersmaView profile

Professor

• Crop Science
• Agronomy
• Plant Breeding
• +3 more

Jochum Wiersma serves as an Extension Professor at the University of Minnesota within the College of Food, Agricultural and Natural Resource Sciences, affiliated with the Northwest Research and Outreach Center (NWROC). His work bridges academic research and practical agricultural extension, focusing on crop science and agronomy for Minnesota's farming community. Dr. Wiersma's research spans crop science, agronomy, plant breeding, and sustainable agriculture with emphasis on small grains. He investigates critical agronomic parameters including planting date optimization, nitrogen management strategies, and disease resistance mechanisms in wheat, rye, and barley systems. His work addresses real-world challenges such as lodging prevention, Fusarium head blight control, and climate adaptation in Upper Midwest agricultural environments. Through field trials and variety development, he translates scientific findings into actionable practices for grain producers. Analysis of his recent publications (2022-2025) reveals consistent focus on management-intensity impacts across diverse small grain systems. Key trends include hybrid rye adaptation across US regions, genomic approaches to oat improvement, and dual-purpose (grain/forage) crop optimization. His research demonstrates particular expertise in spring wheat production systems, with significant contributions to variety registration and nitrogen-use efficiency studies across Minnesota and Canadian Prairies. Dr. Wiersma maintains active engagement with the Northwest Research and Outreach Center (NWROC), where he conducts field-based research and extension activities. His work involves direct collaboration with farmers, commodity groups, and industry partners to address regional agricultural challenges through scientifically rigorous yet practically applicable solutions.

• Microelectronics
• MEMS Resonators
• Radio Frequency (RF) Devices
• +4 more

Dana Weinstein is a Professor in the Department of Electrical and Computer Engineering at Purdue University, West Lafayette campus. Her research focuses on cutting-edge MEMS resonators, RF device integration, and acoustoelectronic systems. Academic Rank: Professor Department: Electrical and Computer Engineering University: Purdue University Email: danaw@purdue.edu Research Interests: Microelectronics and MEMS Resonators Radio Frequency (RF) Devices and 2D Materials Silicon Photonics and Ferroelectric Transducers Acoustoelectronics and GaN/SiC Heterostructures Integrated Nonreciprocal RF MEMS Devices Scientific Awards: NSF CAREER Award (2017) NSF CAREER Award (2012) Editorial Leadership in IEEE Nanotechnology Express (2015) Key Article Trends: Her recent publications explore advanced MEMS resonators, high-frequency RF devices, acoustoelectric interactions, and integration of 2D materials into CMOS-compatible platforms. Topics include Sezawa wave SAW devices, GaN/SiC heterostructures, BEOL-compatible transistors, and ferroelectric-based transducers.

• Breeding blankets
• Controlled thermonuclear fusion
• Thermal-hydraulic analysis
• +7 more

Antonio Froio is an Associate Professor at the Department of Energy (DENERG) at Politecnico di Torino. His academic career focuses on Industrial and Information Engineering (Area 0009), particularly in Nuclear Power Plants (IIND-07/D). He is an active member of the American Nuclear Society (2021-), Nuclear and Reason Committee (2021-), and Italian Nuclear Association (2020-). Research Interests: Antonio's work centers on breeding blankets , controlled thermonuclear fusion , and thermal-hydraulic analysis . He applies computational engineering (ERC PE8_4) to advance affordable and clean energy (SDG 7). His research includes Design of tritium extraction systems CFD co-simulation for nuclear plants Multiphysics modeling of fusion reactors Uncertainty quantification in nuclear data Recent Publications: His academic output spans thermal-hydraulic assessments, limiter system designs, and computational tools for fusion reactors. Notable contributions include work on EU DEMO systems, PbLi loops, and transient accident simulations. Scientific Awards: Effective member - American Nuclear Society (2021-) Effective member - Nuclear and Reason Committee (2021-) Effective member - Italian Nuclear Association (2020-) Teaching and Supervision: Antonio teaches Computational heat and mass transfer , Monte Carlo methods , and Nuclear fusion reactor engineering courses. He supervises PhD students in the NEMO Research Group including Mauro Spro', Antonio Zurzolo, Marco Caravello, Fabrizio Lisanti, and Alex Aimetta.

• Renewable Energy Systems
• Photovoltaic Power Plants
• Energy Optimization
• +3 more

Ali DURUSU is a researcher at Yıldız Technical University, College of Engineering , with a focus on Renewable Energy Systems and Photovoltaic Power Plants . His work spans techno-economic modeling, energy optimization, and smart grid integration. Research Interests : Solar power plant design, grid integration, energy economics, MPPT algorithms, hybrid systems, and smart grid technologies Advisory : Has advised 25 theses on renewable energy topics Projects : Involved in 15 research initiatives Recent publications emphasize peer-to-peer energy trading, distributed storage, and optimization techniques. He has contributed to 80 WoS-indexed publications with significant citations (H-Index: 8 in WoS, 11 in Scopus) and participated in 43 peer-reviewed conferences.

Ioannis StamelosView profile

Professor

• Software Engineering
• Open Source Software
• Software Effort and Quality Estimation
• +7 more

Ioannis Stamelos is a Professor of Software Engineering at the School of Informatics, Aristotle University of Thessaloniki (since 2015, research/teaching staff since 1997). He serves as Director of the Postgraduate Master Course in Interactive Hardware & Software Technologies. Major Research Areas: Open Source Software, Software Effort/Quality Estimation, Agile Methods, Enterprise Information Systems Key Projects: Deep Blue/AUTH Research Hub (2018-2022), BlockAdemic (blockchain-based micro-credentials), European Commission Open Source Policy Studies Research Trends from recent publications include: Process mining in library information systems Reusability metrics for software assets Bayesian networks in software project management Impact of design patterns on gaming software defects Technical debt assessment via structural metrics Blockchain applications in supply chain management Scientific Awards: Best Paper Award at IEEE DEST’09 Best Student Paper Award at ICSR 2012 Best Paper Award at QUATIC2012 Education & Leadership: PhD in Computer Science (1988), Diploma in Electrical Engineering (1983). Led numerous EU-funded projects (IST, ERASMUS, FP7) and national initiatives (ΓΓΕΤ, ΕΠΕΑΕΚ). Supervised PhD/MSc students in software reuse, OSS quality, and agile practices.

Ewin TangView profile

Research Fellow

• Quantum Computing
• Machine Learning
• Quantum Algorithms
• +3 more

Ewin Tang is a Miller Postdoctoral Fellow at the University of California, Berkeley, hosted by Umesh Vazirani. She completed her PhD at the University of Washington under James Lee and earned her undergraduate degree at UT Austin with a thesis advised by Scott Aaronson. Tang specializes in quantum computing and machine learning, focusing on quantum learning theory and dequantized/quantum-inspired algorithms . Her research addresses fundamental questions: How to evaluate quantum computer applications, how to design algorithms for nature simulation, and quantum system engineering feasibility. She has co-authored papers in top conferences including QIP, STOC, FOCS, and SODA, with awards like the QIP 2024 Best Student Paper and UT Austin's Best Undergraduate Thesis. Key research contributions include: Proving entanglement vanishes in high-temperature spin systems Developing quantum-inspired classical algorithms matching quantum performance Advancing Hamiltonian learning techniques Exploring computational complexity in quantum systems Scientific achievements: QIP 2024 Best Student Paper Co-winner of UT Austin Best Undergraduate Thesis Published in Nature Physics and Journal of the ACM

• Additive Manufacturing
• Fatigue and Fracture Mechanics
• Shape Memory Alloys
• +2 more

Mohammad Mahtabi is an Associate Professor in the Department of Mechanical Engineering at the University of Tennessee at Chattanooga (UTC). He earned his PhD in Mechanical Engineering from Mississippi State University under the supervision of Profs. Tonya Stone and James C. Newman Jr., with prior academic training in structural engineering (MS, Iran University of Science and Technology) and civil engineering (BS, University of Tehran). His professional experience includes a postdoctoral research associate position at the Dynamic and Smart Systems Lab (Elahinia's Lab) at the University of Toledo. Undergraduate Teaching: Statics, Mechanics of Materials, Machine Design, Mechanical Vibrations, Failure of Engineering Materials, Introduction to Materials Science Graduate Teaching: Mechanics of Shape Memory Alloys, Computational Material Science, Advanced Mechanics of Materials, Finite Element Analysis, Continuum Mechanics, Engineering Fracture Mechanics, Fatigue Design and Analysis His research focuses on additive manufacturing, fatigue and fracture mechanics, shape memory alloys (particularly NiTi and NiTiHf), medical devices, and computational mechanics. Publications reveal expertise in molecular dynamics, finite element analysis, and process optimization for laser-based additive manufacturing techniques like Selective Laser Melting (SLM) and Laser Directed Energy Deposition (LDED). Key subfields include phase transformation, precipitate effects, multiaxial fatigue modeling, and surface roughness impacts on fatigue life. Recent work emphasizes predictive modeling of fatigue behavior in additively manufactured materials, atomic-scale simulations of shape memory alloys, and electroplating processes for polymer-metal composites. His laboratory affiliations include the Dynamic and Smart Systems Lab at the University of Toledo and UTC's College of Engineering and Computer Science.

Prafulla SalunkeView profile

Assistant Professor

• Dairy Products Processing
• Dairy-Based Ingredient Development
• Cheese Technology
• +3 more

Prafulla Salunke is an Assistant Professor in the Department of Dairy and Food Science at South Dakota State University (SDSU). He holds a B.S. and M.S. in Dairy Technology from Gujarat Agricultural University (1993–1996) and a Ph.D. in Biological Sciences focusing on Dairy Manufacturing from SDSU (2013). His academic responsibilities include teaching courses such as DS 492 (Multidisciplinary Project), DS 442 (Dairy Product Development), and DS 731 (Lab Techniques in Dairy Science). Salunke’s research focuses on cheese technology, dairy ingredient development, and enzyme applications. Specific interests include optimizing cheese functionality, developing novel dairy-based ingredients, and exploring enzyme-driven protein modifications. He has advised two doctoral, six master’s, and one undergraduate student. Professional affiliations include the American Dairy Science Association, Institute of Food Technologists, and Gamma Sigma Delta. He has held roles like advisor at the North Central Cheese Industry Association and PI of the Institute for Dairy Ingredient Processing at SDSU. His work experience includes R&D coordination at Saputo Cheese (2013–2021) and managerial roles at AmulFed Dairy and cooperative dairies in India (1993–2007). Salunke has published 20 peer-reviewed papers, 26 conference presentations, and six invited talks. His research spans cheese texture analysis, ingredient functionality, and dairy processing innovations.

• Magnetic Recording
• Resistive Switching
• Phase Change Materials
• +3 more

James A. Bain is a Professor in the Electrical and Computer Engineering (ECE) Department at Carnegie Mellon University’s College of Engineering. He also holds a courtesy appointment in the Department of Materials Science and Engineering and serves as Associate Director of the Data Storage Systems Center (DSSC). Bain’s research focuses on magnetic, optical, and resistive switching devices for information storage, including heat-assisted magnetic recording (HAMR) and phase change materials. Education : B.S. (1988) in Materials Science and Engineering from the University of Pennsylvania; M.S. (1991) and Ph.D. (1993) in Materials Science and Engineering from Stanford University. His work spans nanotechnology, energy-efficient computing, RF metrology, and multiphysics modeling. Bain’s research has received recognition through the Scott Institute seed grant for energy research. He has co-authored over 225 papers and holds a leadership role as ECE’s Associate Department Head for Academic Affairs since 2018. His laboratory investigates thermal transport, device reliability, and emerging memory architectures. Recent publications highlight advancements in HAMR thermal management, resistive switching dynamics, and phase-change RF switches. Bain’s expertise intersects with the IEEE Magnetics, Electron Devices, and Photonics Societies, as well as the Materials Research Society.

F. AlijaniView profile

Researcher

• Nonlinear Dynamics
• Nanomechanical Resonators
• Graphene Engineering
• +4 more

F. Alijani is a researcher at TU Delft in the Dynamics of Micro and Nano Systems department. Their work focuses on nonlinear dynamics, nanomechanical resonators, and graphene-based sensor technology. Department: Dynamics of Micro and Nano Systems Research interests include: Nonlinear dynamics of 2D materials Graphene engineering for bio-sensing Atomic force microscopy (AFM) applications Optimization of nanomechanical systems Structural and aeroelastic modeling Recent publications highlight advancements in topology optimization, bacterial nanomotion detection, and AFM techniques. Collaborations include institutions like TU Delft and TU Delft - 4TU.ResearchData for datasets. No scientific awards are explicitly mentioned in the provided data. Labs & teams: Dynamics of Micro and Nano Systems group at TU Delft, working with Prof. P.G. Steeneken and Prof. A.M. Aragón.

Patrizia SaviView profile

Associate Professor

• GNSS Reflectometry
• Microwave Characterization of Materials
• Graphene Nanoplatelets
• +3 more

Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.

Piotr KulikView profile

Assistant Professor

• Electrical Engineering
• Materials Science
• Nanofabrication of thin-film materials
• +2 more

Piotr Kulik is an Assistant Professor at the University of Central Florida (UCF) in the Department of Electrical and Computer Engineering within the College of Engineering and Computer Science. His research focuses on nanofabrication of thin-film materials, microsystems for sensing and communication, and multiphysics devices. Ph.D. in Electrical Engineering, Northeastern University (2020) Dr. Kulik’s research bridges advanced materials synthesis with microwave and MEMS device design. His work on magnetodielectric composites and ferrite thin films enables next-generation RF components for wireless systems. Current projects explore spatiotemporal modulation techniques to achieve magnetic-free non-reciprocal devices, reducing size and complexity in communication hardware. His recent publications emphasize broadband impedance tuning, miniaturized RF circulators, and zero-power wake-up receivers. These contributions leverage multiphysics modeling and nanofabrication to optimize microwave performance in magnetic-free topologies and composite materials. Scientific Awards Association of Old Crows, Nonprofit for Electronic Spectrum Management, Future 5 Award (2022) Experiential PhD Leadership Program (LEADERs Fellow), Gordon Institute of Engineering Leadership (2020) Dr. Kulik actively contributes to academic communities as an affiliate member of the IEEE Microwave Theory & Techniques Society (MTT-13) and serves as a reviewer for journals including IEEE Microwave and Wireless Components Letters and Thin Solid Films . He collaborates with teams in the AIMS Lab on microwave magnetics and system design challenges.

ANDREA DI DONATOView profile

Associate Professor

• Electromagnetic Fields
• Nanotechnology
• Biomedical Engineering
• +4 more

Prof. Andrea Di Donato is an Associate Professor at the Department of Information Engineering, University of Ancona and Marche Polytechnic (UNIVPM). His research focuses on electromagnetic fields, nanotechnology, and biomedical engineering with particular emphasis on scanning microwave microscopy, optical holography, and graphene characterization. He holds a position within the 'Electromagnetic Fields' research group, contributing to advancements in materials science, photonics, and biomedical imaging. His work integrates cutting-edge techniques such as inverted scanning microwave microscopy for nanoscale biological imaging and development of photo-mobile polymer films for light-controlled actuation systems. Key projects include holographic grating sensors, tunable lasers, and studies on light-induced effects in 2D materials like graphene oxide. Prof. Di Donato's laboratory specializes in multi-disciplinary approaches combining microwave engineering, optical physics, and nanotechnology. His contributions span from theoretical formulations (e.g., conductivity models for 2D materials) to practical applications like biomedical diagnostics and advanced material fabrication.