Find Academic Supervisors

• Flight Mechanics
• Spacecraft Attitude Dynamics
• UAV Control
• +5 more

Mauro Mancini is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino. He belongs to the College of Mechanical, Aerospace, and Automotive Engineering and specializes in Flight Mechanics (Scientific disciplinary sector IIND-01/C) within Area 0009 - Industrial and Information Engineering. Dr. Mancini teaches multiple courses across various degree programs including Aerospace Engineering and Mechatronic Engineering. His teaching portfolio includes Advanced Flight Dynamics: Modeling and Simulation, Control Systems Design for Spacecraft Attitude Dynamics at PhD level, and Fundamentals of Flight Mechanics at undergraduate level. He has also delivered lectures for the English-taught Program at Ho Chi Minh City University of Technology. His research focuses on aerospace control systems with particular emphasis on spacecraft attitude dynamics, UAV control, and autonomous systems. Dr. Mancini employs advanced control techniques including sliding mode control, artificial potential fields, and adaptive control strategies to address challenges in spacecraft maneuvering, orbital dynamics, and precision agriculture applications. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and agricultural technology. Analysis of Dr. Mancini's publication record reveals a consistent research trajectory in spacecraft attitude control and autonomous vehicle systems. His work shows expertise in sliding mode control techniques applied to spacecraft with actuator constraints, orbital simulation for target inspection maneuvers, and precision agriculture applications. A notable trend is the integration of artificial potential fields with advanced control methodologies to solve complex navigation and maneuvering problems in both space and terrestrial environments. Dr. Mancini actively supervises three PhD students: Pierantonio Bertuccio, Jean-Luc Sarvadon, and Riccardo Enrico (whose research focuses on robust control of UAV under uncertain conditions). He has secured commercial research contracts including a 2024 Flight Mechanics project as Scientific Manager and previous collaborations with Ho Chi Minh City University of Technology. He is a member of the Dynamics, Control and Flight Simulation research group at DIMEAS, where he contributes to advancing aerospace control methodologies and their practical applications in both academic and commercial contexts.

Zachary J. OsterView profile

Associate Professor

• Requirements engineering
• Formal methods
• Preference reasoning
• +5 more

Zachary J. Oster serves as Associate Professor and Chair of the Department of Computer Science within the College of Letters & Sciences at the University of Wisconsin-Whitewater. His office is located in McGraw 108 (150 Hamilton Green Way, Whitewater, WI 53190) where he can be reached at (+1) 262-472-5006 or osterz@uww.edu. Oster completed his academic journey with a Ph.D. in Computer Science from Iowa State University in August 2013 under advisor Samik Basu, following an M.S. from the same institution in December 2009. His undergraduate education at South Dakota State University yielded dual degrees in May 2007: a B.S. in Computer Science and a B.A. in Music. Dr. Oster's research program focuses on enhancing requirements engineering practices through innovative integration of formal methods and computational techniques. He specializes in modeling and analyzing stakeholder preferences using conditional importance networks (CI-Nets), developing efficient algorithms for identifying preference conflicts, and creating visualization tools for requirement preferences. His work bridges theoretical formal methods with practical requirements engineering challenges, particularly in component-based systems and service composition. He actively collaborates with researchers at Iowa State University including Samik Basu and Ganesh Ram Santhanam. His publication trajectory reveals an evolution from foundational service composition research toward more human-centered requirements engineering approaches. Early work focused on service substitutability and composition algorithms, while recent publications emphasize listening techniques for requirements elicitation and scalable preference analysis. The consistent thread throughout his career is applying formal verification methods to practical software engineering problems, particularly in preference reasoning and requirements analysis. Recipient of the 2017 University Faculty/Staff Academic Advising Award Dr. Oster has demonstrated exceptional commitment to student mentorship, recognized by his 2017 advising award. Since October 2022, he has coordinated UW-Whitewater's cybersecurity programs, overseeing curriculum development and student pathways. His research has received support including a UW-Whitewater Strategic Initiative grant (with Lopamudra Mukherjee as PI) for visualizing requirement preferences. He has mentored undergraduate researchers including Josh Leinberger and Pablo Martinez on visualization projects. While not leading a formally named research lab, Dr. Oster has established productive research collaborations through the Formal Methods & Verification Group at Iowa State University. His work on the UW-Whitewater Software Development Center (noted in 2018-2019 course listings) represents an applied effort to connect classroom learning with industry experience. His research group has focused on practical applications of formal methods to real-world requirements engineering challenges.

• Neuroengineering
• Rehabilitation Science
• Sensorimotor Control
• +7 more

Dr. Valeriya Gritsenko is an Associate Professor at West Virginia University School of Medicine with multiple appointments across the Department of Physical Therapy, Department of Neuroscience, and Rockefeller Neuroscience Institute. She leads the Neuroengineering and Rehabilitation Laboratory (NERL) where she conducts interdisciplinary research at the intersection of neuroscience, engineering, and rehabilitation medicine. Dr. Gritsenko holds a PhD from the University of Alberta, Canada, completed a postdoctoral fellowship at the University of Montreal, and received specialized training including an intensive course in transcranial magnetic simulation at Harvard Medical School and a fellowship in Computational Neuroscience at Woods Hole. Her research focuses on understanding human sensorimotor control through experimental and computational approaches, employing techniques such as motion capture, electromyography, transcranial magnetic stimulation, and biomechanical modeling. Her work spans several key research domains including neuromechanics of movement, sensorimotor integration, and quantitative assessment of motor deficits. She has made significant contributions to understanding how proprioception combines with internal predictive signals for movement execution and has developed innovative methods for assessing movement impairments using low-cost motion capture systems. Her research has important applications in stroke rehabilitation, surgical training, and space medicine. Analysis of Dr. Gritsenko's publication record shows a clear progression toward developing computational tools for movement analysis, with increasing emphasis on AI applications and real-time assessment methods. Her recent work demonstrates strong integration between basic neuroscience principles and clinical applications, particularly in creating more sensitive measures of motor function that go beyond traditional joint angle measurements. Dr. Gritsenko is actively involved in major research initiatives including NASA's BioAISense project developing AI for autonomous sensorimotor assessment and an AFOSR project on sensation-to-action transformation frameworks. Her laboratory in the Erma Byrd Biomedical Research Facility serves as a hub for interdisciplinary research that combines engineering approaches with clinical neuroscience to improve rehabilitation outcomes.

Chandra Sekhar PrayagaView profile

Professor

• Liquid Crystals
• Optical and Electronic Properties of Materials
• Phase Transitions in Soft Matter
• +7 more

Dr. Chandra Sekhar Prayaga is a Professor in the Department of Physics at the University of West Florida, within the Hal Marcus College of Science and Engineering. He has over 35 years of teaching experience and has been a faculty member at UWF since 2002. His office is located in Building 58, Room 005, and he can be reached at cprayaga@uwf.edu . His educational background includes a Ph.D. in Physics from the Indian Institute of Science, Bangalore; an M.S. in Physics from the Indian Institute of Technology, Delhi; and a B.S. in Special Physics, Mathematics, and Chemistry from Osmania University, Hyderabad, India. Dr. Prayaga's research focuses on two major areas: the optical and electronic properties of liquid crystals—especially near phase transitions—and innovative approaches to physics education. His experimental work involves the fabrication and characterization of liquid crystal thin films using techniques such as Langmuir-Blodgett deposition, spin-coating, dielectric spectroscopy, XRD, and optical microscopy. In education, he leads the Discovery Spot initiative, which provides hands-on STEM+C activities for middle and high school students and supports teacher and parent engagement. The 15 most recent publications reflect a strong interdisciplinary focus, blending condensed matter physics with educational technology. Key themes include liquid crystal behavior under confinement, phase transitions in 2D systems, and the integration of robotics and simulations into physics curricula. His work bridges fundamental materials research with practical educational outreach, emphasizing accessibility and experiential learning. Dr. Prayaga has secured over $3 million in research funding, supporting both student and faculty projects. He has been instrumental in developing teacher training programs, notably through the Teacher Institute for Physical Sciences, which received funding from the Florida Department of Education. He teaches a wide range of courses, including Quantum Theory I and II, Thermodynamics, Solid State Physics, and University Physics. He is the co-author of the book Robotics: A Project-Based Approach (2014) and has published in journals such as Journal of Computing Sciences in Colleges , Synthetic Metals , and Bulletin of the American Physical Society . His work continues to influence both materials science and STEM education at the K-12 and university levels.

Brian KaplingerView profile

Assistant Professor

• Astrodynamics
• Trajectory and Mission Design
• Vision-based Spacecraft Guidance
• +5 more

Dr. Brian Kaplinger is an Assistant Professor in the Department of Aerospace Engineering at the University of Kansas. His research focuses on astrodynamics, trajectory and mission design, and vision-based spacecraft guidance, navigation, and control. He can be reached at bkaplinger@ku.edu or via phone at 785-864-2924 in 2119C Learned Hall.

Gabriel BeköView profile

Associate Professor

• Indoor Air Quality
• Indoor Environment
• Air Quality Engineering
• +12 more

Gabriel Bekö is an Associate Professor in the Department of Environmental and Resource Engineering at the Technical University of Denmark (DTU), where he conducts leading research on indoor environmental quality, air quality engineering, and human exposure to indoor pollutants. His work spans building science, environmental health, and sustainable development, contributing to UN Sustainable Development Goals related to health and sustainable cities. Education PhD, Slovak University of Technology and Technical University of Denmark (2004–2007) MSc, Slovak University of Technology and Technical University of Denmark (1998–2004) Research Interests Gabriel Bekö's research focuses on indoor air quality, thermal comfort, occupant behavior in buildings, and the impact of personal care products and clothing on indoor environments. He investigates how energy-efficient building designs affect indoor environmental quality, with a strong emphasis on human health and exposure to volatile organic compounds (VOCs), phthalates, and other pollutants. His work integrates field measurements, laboratory experiments, and modeling to develop practical solutions for healthier indoor spaces. Publication Trends His recent publications (2024–2025) reflect a strong international focus, with studies conducted in Sweden, Slovakia, UAE, India, and Lithuania. Key themes include classroom air quality, human oxidation chemistry from personal care products, respiratory protection efficacy, and adaptive occupant behavior in offices. These works appear in high-impact journals such as Science Advances , Environmental Science & Technology , and Journal of Building Engineering , demonstrating interdisciplinary reach across environmental engineering, public health, and building science. Scientific Awards Elected to the ISIAQ Academy of Fellows (2020) Yaglou Award (2014) REHVA Young Scientist Award (2010) Advising, Grants, and Professional Activities While no formal students are listed, Bekö actively mentors through project leadership and external examinations. He has secured significant research funding through projects such as IEA EBC Annex 86 and COST Action CA17136, focusing on energy-efficient indoor air quality management and indoor air pollution networks. He serves as a journal editor, peer reviewer, and invited speaker at international conferences, and has acted as an external examiner for PhD theses at institutions like Kaunas University of Technology and the British University in Dubai. Labs and Research Teams Gabriel Bekö leads and participates in multiple research initiatives at DTU, including the development of the IK-compass tool for assessing indoor climate in single-family homes. His work is embedded within collaborative networks such as the Indoor Air Pollution Network (COST Action CA17136) and the IEA EBC Annex 86, fostering international cooperation on indoor environmental quality. His research group focuses on field studies, experimental setups using manikins and tracers, and data-driven modeling of occupant behavior and pollutant dispersion.

Kate MorrisseyView profile

Teaching Professor

• Bioprocess Engineering
• Microalgae Dewatering
• Flocculation
• +2 more

Dr. Kate Morrissey serves as an Associate Teaching Professor in the Chemical & Biological Engineering Department at Montana State University's College of Engineering, with additional affiliations in the Honors College. Her teaching portfolio spans core chemical engineering courses including Process Dynamics and Control, Heat Transfer Operations, and introductory biological engineering, alongside Honors College seminars emphasizing active learning through Problem Solving Studios and industry tours. Her academic credentials include: Ph.D. in Chemical Engineering from the University of Colorado, Boulder (2019) M.S. in Chemical Engineering from the University of Colorado, Boulder (2013) B.S. in Chemical Engineering from Montana State University (2011) Morrissey's research centers on bioprocess engineering with specialized focus on microalgae dewatering and flocculation mechanisms. Her work develops recyclable polymeric flocculants for sustainable biomass separation, examining molecular interactions in cellular suspension systems while extending into interdisciplinary applications such as chronic wound microbiome analysis and carbon dioxide mitigation strategies. This dual emphasis on fundamental separation processes and practical bioprocessing solutions defines her scholarly contributions. Her publication trajectory reveals consistent specialization in bioprocess engineering principles, culminating in the 2025 textbook edition, alongside persistent investigation into microalgae harvesting technologies since 2012. Early career work demonstrates broader interdisciplinary reach into biomedical and environmental engineering domains before consolidating focus on sustainable bioresource processing. Recognition includes: Founder's Day Award for Excellence (2025) from MSU Alumni Foundation Nomination for Phi Kappa Phi Anna K. Fridley Award (2024) from Honors College/Provost Office Morrissey actively implements innovative pedagogical approaches across undergraduate chemical and biological engineering curricula while maintaining research productivity in separation science. No information indicates graduate student advising or external research grant leadership in the provided materials.

Soha HusseinView profile

Assistant Professor

• program analysis
• fuzzing
• symbolic execution
• +4 more

Soha Hussein is an Assistant Professor at Ain Shams University in Egypt. She is actively involved in the software engineering research community, serving in various roles including Publication Co-chair for ASE 2025 and Posters/Tools/SRC Co-Chair for SPLASH/ISSTA 2026. Dr. Hussein received her Ph.D. and M.S. in Computer Science from the University of Minnesota. She also completed the Early Career Teaching and Learning program and the Prepare Future Faculty program at the University of Minnesota, demonstrating her commitment to both research and education. Her research focuses on enhancing software reliability and security through advanced program analysis techniques. Specifically, she specializes in symbolic execution, fuzzing, formal verification, and software testing. Her work addresses the critical challenge of path explosion in symbolic execution through innovative path-merging approaches. Dr. Hussein's research has practical applications in verifying Java programs and improving automated program verification techniques, with recent work extending to AWS Lambda applications. Her publications demonstrate a consistent trajectory of advancing verification techniques while maintaining strong theoretical foundations. Dr. Hussein has received multiple prestigious awards for her work on Java Ranger, including Gold Medals at SV-COMP 2020, 2021, and 2025, as well as a Bronze Medal at SV-COMP 2020. These awards recognize the effectiveness of her path-merging approach in reducing path explosion and improving verification efficiency. She is actively involved in mentoring students, particularly through the Google Summer of Code program where she serves as an organization admin and mentor for the Java Pathfinder (JPF) Organization. Dr. Hussein encourages excellent students to reach out for research opportunities in her lab, having successfully mentored students like Kunha Kim who accepted a Master scholarship at University of Colorado Boulder. Dr. Hussein leads research related to Java Ranger, an extension to Symbolic Pathfinder that implements path-merging techniques for Java verification. Her team continues to advance this work, with recent developments supporting string and array operations and applying the technology to AWS Lambda applications. She maintains active contributions to the SymbolicPathFinder/jpf-symbc repository on GitHub, demonstrating her commitment to open-source verification tools.

Shervin ErfaniView profile

Professor

• Computer & Network Security
• Data Networking
• Communication Network Management
• +3 more

Dr. Shervin Erfani is a Professor in the Department of Electrical and Computer Engineering at the University of Windsor, Faculty of Engineering. His research focuses on computer and network security, data networking, communication network management, and multidimensional digital filter realization. He holds a position in 3048 CEI and can be reached at erfani@uwindsor.ca. His research interests span a wide range of topics, including IoT security, signal processing in linear time-varying systems, and fractional calculus applications. Recent work emphasizes bifrequency analysis, iterated Laplace transforms, and fractional differential equations. His contributions bridge theoretical advancements with practical implementations in security frameworks and network protocols. Publications highlight trends in secure communication architectures, such as Bitcoin security models and IoT applications, alongside foundational work in signal processing and circuit theory. Collaborations address challenges in network management, spectrum sensing, and system stability.

Richard ElmanView profile

Professor

• Algebra
• Quadratic Forms
• Algebraic Geometry
• +4 more

Richard Elman is a Professor of Mathematics at the University of California, Los Angeles (UCLA), affiliated with the Department of Mathematics. His research focuses on algebraic structures, particularly quadratic forms, Witt rings, and their connections to algebraic geometry and Galois cohomology. He has authored foundational texts like Lectures in Algebra and contributed to topics such as elliptic curves, linear algebraic groups, and cohomological dimensions. His work bridges abstract algebra with geometric and topological methods, influencing both pure and applied mathematical research. Elman's research interests include advanced algebraic theories such as quadratic form theory, Witt ring structure, and the interplay between algebraic geometry and number theory. He has explored topics like cohomological dimensions of fields, étale cohomology, and the classification of quadratic forms over various fields. His publications often address problems at the intersection of algebraic structures and geometric interpretations. His recent work (2019) continues the development of abstract algebraic frameworks, while earlier contributions (2008, 2006) delve into geometric and cohomological aspects of quadratic forms. Notable projects include studies on elliptic curves over local fields and the structure of Witt rings. Elman has also engaged in interdisciplinary efforts, such as public health research on reducing environmental tobacco smoke exposure in communities. Though no specific student or grant information is provided in the text, his extensive publication record indicates sustained academic contributions. His office is located in the Mathematical Sciences Building at UCLA, and he can be reached via email at rse@math.ucla.edu .

• Inverse Problems
• Sparse Signal Processing
• Mathematical Image Processing
• +5 more

Prof. Dr. D. Lorenz is a full Professor of Applied Analysis at the Institute for Analysis and Algebra, Carl Friedrich Gauss Faculty, Technical University of Braunschweig. He holds office hours through Stud.IP booking system and can be reached at Room F524 (Phone: +49 531 391-7423). Research Focus Inverse and ill-posed problems Sparse representations for regularization Mathematical image processing Convex/non-convex optimization Engineering and life sciences applications Optimal control and parameter identification He maintains an active research blog at regularize.wordpress.com and is active on Twitter as @Dirque_L . His academic work aligns with TU Braunschweig's strategic focus on mathematics and interdisciplinary applications.

• Mechanical Engineering
• Manufacturing Engineering
• Machining Processes
• +3 more

Mahdi Eynian serves as an Associate Professor of Mechanical Engineering at the School of Engineering Science, University of Skövde, Sweden. His office is located in Room PA110F, and he can be reached via email at mahdi.eynian@his.se or by phone at 0500-448524. As a Course Coordinator, he manages multiple undergraduate and graduate level courses in engineering disciplines. Professor Eynian's research focuses on mechanical and manufacturing engineering, with particular expertise in machining processes, cutting tool design, vibration analysis, and production technology. His work addresses critical challenges in manufacturing systems including chatter stability, tool wear effects, chip formation mechanisms, and optimization of machining parameters. His research combines theoretical modeling, experimental validation, and simulation-based approaches to solve practical manufacturing problems. Analysis of his publication record from 2007-2025 reveals a strong research trajectory focused on machining dynamics and manufacturing process optimization. His work spans fundamental research on chatter stability mechanisms to applied studies on specific materials like titanium alloys and steel. The publications demonstrate consistent collaboration with industry and academic partners across Sweden and internationally, addressing both theoretical challenges and practical manufacturing problems. His current research projects include 'Fixtures for flexible production – a virtual approach' (August 2024 - April 2025) and 'Virtual Engineering,' which aim to improve fixture design processes through virtual testing to reduce costly mistakes and optimize manufacturing outcomes.

• Artificial Intelligence
• Machine Learning
• Optimisation
• +13 more

Dr. Asef Nazari is a Senior Lecturer in Mathematics at Deakin University's School of Information Technology, Faculty of Science Engineering and Built Environment. With over two decades of experience, his work spans mathematical modeling, optimization, and AI applications in energy systems, supply chains, and cybersecurity. Education : PhD (University of Ballarat), MSc (Amirkabir University of Technology), BSc (University of Tabriz), Graduate Certificate in Higher Education Teaching (Deakin University) Research : Focuses on Electricity network planning with renewables Optimization techniques (non-smooth, integer programming) AI/ML for cryptocurrency markets and causal inference Community battery systems for EV charging Soft happy coloring in network analysis Supply chain and project scheduling optimization Grants : Leads industry collaborations like the REACH Scholarship (2025–2028) and has secured funding from Monash University/ClimateWorks and The Ian Potter Foundation. Teaching : Developed the 'Mathematics for AI' master's unit, emphasizing real-world problem-solving in optimization, operations research, and data analysis. Supervision : Currently guides 8 PhD students in topics like AI-driven authentication security and land-use modeling. Awards : Recognized as a Fellow of the Higher Education Academy (FHEA)

• Behavioral Economics
• Experimental Economics
• Goals and self-regulation
• +14 more

Alexander K. Koch is a Professor in the Department of Economics and Business Economics at Aarhus University, Denmark. His academic work spans multiple areas of economics with a strong focus on experimental and behavioral approaches. Based in Aarhus V at Fuglesangs Allé 4, Building 2622 (C), Room C-6, he maintains an active research program that bridges theoretical and applied economics. Professor Koch's research interests form a cohesive body of work centered on human decision-making processes. His primary focus areas include goals and self-regulation, mental accounting and choice bracketing, cyberloafing in workplace contexts, social preferences, and career concerns incentives. His work in behavioral economics extends to education, where he examines how non-cognitive skills affect learning outcomes. He also explores evolutionary psychology perspectives on conflict resolution and decision-making, and contributes significantly to personnel economics, particularly regarding mobility patterns, earnings growth, and hierarchical placement incentives. His research often employs experimental methods to test theoretical predictions in controlled settings. Throughout his career, Koch has published extensively in top-tier economics journals including Journal of Economic Theory , Experimental Economics , Games and Economic Behavior , and Journal of Economic Behavior and Organization . His recent work demonstrates increasing interdisciplinary reach, with publications in Evolution and Human Behavior and Food Control , reflecting the expanding applications of behavioral economics principles. A notable pattern in his research is the frequent collaboration with Julia Nafziger across multiple projects and publications spanning more than a decade. Professor Koch's methodological approach combines theoretical modeling with rigorous experimental testing. His work on belief elicitation examines potential hedging problems in experimental settings, while his research on buyer reputation systems in auctions integrates theoretical predictions with experimental validation. His contributions to understanding motivational goal bracketing represent significant theoretical advances in mental accounting literature. The 2024 publication in PNAS on spillover effects of reminder nudges demonstrates the real-world relevance of his research for complex decision environments. His research has practical implications across multiple domains including educational interventions, workplace behavior management, consumer protection policies, and organizational design. The school-based learning camp study provides evidence for effective interventions targeting both academic and non-cognitive skills, while his work on food safety offers insights for public health interventions. His personnel economics research contributes to understanding optimal incentive structures in organizations and labor markets.

• Remote Sensing
• Agricultural Technology
• Robotics
• +3 more

Dr. Péter Udvardy is an Associate Professor at Óbuda University. He is affiliated with the university's engineering and environmental science programs, located at the Budai Út Campus in Székesfehérvár. His research focuses on advanced technologies such as UAV applications, agricultural sensors, robotics, and environmental monitoring. He actively contributes to interdisciplinary fields like precision agriculture, remote sensing, and GIS-driven urban planning. His work combines theoretical and practical innovations, addressing challenges in renewable energy infrastructure inspection, livestock health monitoring via ingestible sensors, and educational robotics. Notable projects include UAV-based wind turbine assessment and bolus sensor development for dairy cattle. Udvardy emphasizes real-world problem-solving in industrial maintenance, data collection methodologies, and sustainable energy solutions. He maintains a consultation schedule on Mondays and can be reached via udvardy.peter@amk.uni-obuda.hu. His research outputs are publicly accessible via Google Scholar and institutional repositories.