جست‌وجوی استاد و پژوهشگر

• Neuromuscular Control
• Motor Learning
• Exercise Physiology
• +۷ مورد دیگر

Benedikt Lauber is a Senior Lecturer and Researcher at the University of Fribourg, within the Faculty of Science and Medicine, Section of Medicine. He is affiliated with the Department of Neurosciences and Movement Sciences (NMS), where he conducts research on motor control, neuromuscular adaptations, and exercise physiology. His work bridges neuroscience, sports science, and rehabilitation, with a focus on cortical inhibition, blood flow restriction training, and tendon biomechanics. His research interests include: Neuromuscular control and cortical inhibition Blood flow restriction and resistance training adaptations Tendon morphology and mechanical properties Neuroplasticity induced by exercise and neuromodulation Motor learning and interference in dual-task performance Biomechanics in sports such as ski jumping and choral singing Analysis of his recent publications (2019–2023) reveals a strong focus on the neural and biomechanical effects of different training modalities. A recurring theme is the comparison between low-load blood flow restriction and high-load resistance training, particularly regarding tendon adaptations. Another major line of research involves transcranial direct current stimulation (tDCS) and its interaction with exercise-induced neuroplasticity. His work also extends into applied domains such as choral singing biomechanics and ski jumping imitation validity, demonstrating interdisciplinary reach. Benedikt Lauber actively collaborates with a core group of researchers including Wolfgang Taube, Adam Gollhofer, Christoph Centner, and David König. His publications appear in high-impact journals such as Scandinavian Journal of Medicine & Science in Sports , Frontiers in Physiology , and Neuropsychologia .

Jennifer D. Nahrgangمشاهده پروفایل

استاد

• Leadership
• Team Dynamics
• Employee Engagement
• +۷ مورد دیگر

Jennifer D. Nahrgang is the Henry B. Tippie Excellence Chair, Professor, and Department Executive Officer in the Department of Management and Entrepreneurship at the Henry B. Tippie College of Business, University of Iowa. She also serves as Director of Pre-PhD Initiatives and has previously held the Lloyd J. and Thelma W. Palmer Professorship. Her academic expertise lies in leadership, team dynamics, employee engagement, and the evolving future of work, with a particular focus on gig economy dynamics and side-hustles. PhD in Management, Michigan State University MBA, Oklahoma State University-Main Campus BS in Accounting, Oklahoma State University-Main Campus Her research explores how leadership behaviors shape team effectiveness, how employees express voice in organizations, and how modern work arrangements impact performance and well-being. She has conducted impactful research with organizations like Mayo Clinic, HNI Corporation, PayPal, Blue Cross and Blue Shield, and the US Veterans Administration. Her recent publications reveal a strong focus on the psychological and structural aspects of contemporary work, including side-hustles, status inconsistency, leadership reluctance, and multiteam systems. These works span top-tier journals in management and psychology, reflecting interdisciplinary rigor and real-world relevance. Scientific Awards & Honors: M.L. Huit Award - University of Iowa, 2023 Fellow, Society for Industrial and Organizational Psychology (SIOP), 2023 Network of Leadership Scholars Mid-Career Standout Scholar Award, Academy of Management, 2022 Jennifer has played a vital role in academic service as Associate Editor for Academy of Management Review (Special Issue on AI in Management) and as Editorial Board Member for Personnel Psychology , Journal of Applied Psychology , Academy of Management Journal , Leadership Quarterly , and others. She has guided graduate studies and PhD development at the University of Iowa, contributing significantly to academic mentorship and institutional leadership. While no direct student advisees are listed, her role in directing pre-PhD initiatives underscores her commitment to nurturing future scholars. She is actively involved in research dissemination through invited talks, such as her 2024 presentation at the Global HR Forum in South Korea. Her work bridges academic rigor and practical application, positioning her as a leading voice in the transformation of modern work and leadership.

• Nonlinear Dynamics
• Control Systems
• Vibration and Wave Energy Harvesting
• +۷ مورد دیگر

Vahid Vaziri is a Senior Lecturer (Associate Professor) in the School of Engineering at the University of Aberdeen, where he has been serving since February 2020, initially as a Lecturer and promoted to Senior Lecturer in December 2021. He is actively involved in teaching, research, and PhD supervision, and holds leadership roles as Programme Co-ordinator for several MSc programmes in Advanced Mechanical and Structural Engineering. PhD in Engineering – Dynamics and Control of Nonlinear Engineering Systems MSc in Complex Systems Engineering – Control of Rotational Motion in Parametric Pendulum System BSc in Control & Instrument Engineering – Using fuzzy logic to find the best controller for multi-model systems His research focuses on nonlinear dynamics and control , with applications in vibration suppression, wave energy harvesting, drill-string dynamics, rotor dynamics, and AI/ML integration in engineering systems. He investigates coexisting attractors, passive and active vibration control, and fracture mechanics in tubular components. His work bridges theoretical modeling with experimental validation. The recent publications highlight a strong trend in nonlinear control systems , smart materials (e.g., dielectric elastomers, piezoelectrics), and energy systems (e.g., wind turbines, geothermal). The research spans modeling, simulation, and experimental validation, with increasing integration of AI techniques for system identification and control. Keywords such as fractional-order modeling, sliding mode control, and thermo-electro-mechanical coupling reflect technical depth and interdisciplinary reach. Scientific service and recognition: Board member and Subject Editor, Nonlinear Dynamics journal External Examiner, Robert Gordon University (2023–2027) Reviewer for top journals including Journal of Sound and Vibration , Mechanical Systems and Signal Processing , and Physica D Co-organizer of major conferences: ENOC 2027 (Aberdeen), ICOVP&WMVC 2025 (Lisbon), and multiple mini-symposia on nonlinear dynamics and drilling control Vahid Vaziri supervises multiple PhD and MSc students and leads or co-leads several externally funded research projects. He has served as Principal Investigator on industry-funded projects with ANSA, iVDynamics, and Baker Hughes, and as Co-Investigator on grants from the Royal Society of Edinburgh, Petroleum Technology Development Fund, and SPARK. His work involves collaboration with energy and technology firms, focusing on real-world engineering challenges in oil and gas, renewables, and smart systems. He is a founding member of the Geothermal Energy Advancement Association (GEAA), demonstrating commitment to sustainable energy innovation. He is affiliated with key research groups including the Centre for Applied Dynamics Research and the Artificial Intelligence, Robotics and Mechatronic Systems Group at the University of Aberdeen.

Wojciech Kmiecikمشاهده پروفایل

پژوهشگر

• Optical Networks
• Elastic Optical Networks
• Survivable Overlay Multicasting
• +۱۲ مورد دیگر

Dr. Eng. Wojciech Kmiecik is a researcher at the Department of Computer Systems and Networks, Faculty of Electronics, Photonics and Microsystems, Wrocław University of Science and Technology. He is actively involved in multiple research teams including Machine Learning, Computer Networks, Advanced Data Analysis Methods, and Metaheuristics. He also contributes to teaching and supervises diploma theses. His research focuses on optical networks , survivable multicasting , multi-criteria optimization , and metaheuristic algorithms . He has led and contributed to projects such as Dark-Box Optimization, evolutionary multi-criteria optimization, and advanced methods for multi-layer networks. His work bridges theoretical algorithm development with practical network design. The publication trends from 2010 to 2020 show a consistent focus on network survivability , elastic optical networks , and task allocation in parallel systems . His research integrates optimization techniques into networking solutions, particularly in dual homing architectures and deadline-sensitive provisioning. Key themes include resilience, efficiency, and scalability in both optical and computational systems. Scientific Awards: Medal for long-standing service to Wrocław University of Science and Technology Dr. Kmiecik has supervised diploma theses and is involved in teaching. He has not received externally reported grants, but his sustained project involvement suggests institutional or collaborative funding. He collaborates extensively with Prof. Krzysztof Walkowiak and other researchers in the department. Research Labs and Teams: Machine Learning Team Teaching Team Computer Networks Team Advanced Data Analysis Methods Team Metaheuristics Team

Anna Nordnes Helgøyمشاهده پروفایل

پژوهشگر ارشد

• Social Policy
• Gender Studies
• Family Policy
• +۲ مورد دیگر

Anna Nordnes Helgøy is a Postdoctoral Research Fellow at the Department of Political Science, University of Oslo. Her research focuses on social policy, gender dynamics, family policy, social inequality, and welfare state frameworks. She teaches courses such as STV2370 'Chaos Politics? Theory Meets Reality in Comparative Politics' and STV4340 'Designing Political Representation'. Helgøy holds a Master in European Affairs (specializing in social policy) from Sciences Po, Paris, and BAs in Political Science and Public Relations from the University of Georgia (US). Her work explores how personal experiences and structural policies shape political attitudes, particularly regarding welfare systems and gender roles. Recent publications analyze mental load effects on civic engagement, perceptions of household labor justice, and welfare state perceptions among marginalized groups. She contributes to the WELTRUST project on welfare attitudes and is affiliated with the Comparative Institutions and Regimes (CIR) research group.

Garegin Grigoryanمشاهده پروفایل

استادیار

• Computer Networking
• Network Security
• Routing
• +۵ مورد دیگر

Garegin Grigoryan is an Assistant Professor at Alfred University 's School of Mathematics & Computer Science, focusing on Computer Networking , Network Security , and Software-Defined Networking (SDN) . His research emphasizes programmable data planes , energy-aware routing , and IoT security , with active engagement in IEEE and ACM conferences. Education : PhD in Computer Science from Rochester Institute of Technology (2020) Recent publications highlight data center optimization , forwarding table verification , and IoT security frameworks , reflecting his expertise in SDN and network programmability. Grigoryan also holds patents in network virtualization and RDMA optimization. He contributes to the academic community as a reviewer for journals like IEEE/ACM Transactions on Networking and participates in conferences such as IEEE HPSR and ACM HPDC . His work bridges theoretical advancements with practical implementations in networking and cybersecurity.

Shaheen Ahmedمشاهده پروفایل

استاد

• Human Factors
• Ergonomics
• Vehicle Ergonomics
• +۹ مورد دیگر

Dr. Shaheen Ahmed is a Professor in the Department of Automotive and Manufacturing Engineering within the College of Science, Engineering & Technology at Minnesota State University, Mankato. He holds a PhD in Industrial and Systems Engineering and is a licensed Professional Engineer (PE), Certified Professional Ergonomist (CPE), and Certified Quality Engineer (CQE). He has previously taught at the University of West Alabama and Mississippi State University. Education: PhD in Industrial and Systems Engineering, 2013, Mississippi State University, USA MS in Industrial and Systems Engineering, 2010, Mississippi State University, USA MS in Automotive Industrial Design Engineering, 2008, Chalmers University of Technology, Sweden BS in Mechanical Engineering, 2004, Bangladesh University of Engineering and Technology Dr. Ahmed's research centers on human factors and ergonomics, with a focus on vehicle ergonomics , workplace and product design , human fatigue in cognitive tasks , and statistical design of experiments . He is particularly interested in designing for physically and cognitively impaired populations and understanding how mental workload evolves over time. His work bridges industrial engineering, safety, and education. His recent publications (2008–2020) reflect a consistent trajectory in ergonomics , cognitive fatigue , driving safety , and educational methodologies . The articles demonstrate interdisciplinary engagement with psychology, occupational health, and engineering education, often using experimental and survey-based methods to assess human performance and discomfort. A growing interest in pedagogical theory is evident in his later work, particularly in the Theory of Sustained Optimal Challenge . Dr. Ahmed has made significant contributions to curriculum development, designing four new engineering technology courses for the University of West Alabama. He has taught a wide range of courses including Design of Experiments , Ergonomics & Work Measurement , Quality Management Systems , and Fluid Power at multiple institutions. While no formal awards are listed, his professional certifications (PE, CPE, CQE) underscore his technical and ergonomic expertise. He advises students through individual study courses, though specific advisees are not named. His outreach extends through The Open Educator platform and various social media channels.

• Mechanical Engineering
• Renewable Energy
• Fluid Dynamics
• +۳ مورد دیگر

Susan Farus-Brown is a Professor at Ohio University's College of Engineering, Department of Mechanical Engineering, with over two decades of research in fluid dynamics, renewable energy systems, and aerospace thermal management. Since 2015, she has published extensively on wind turbine optimization, microchannel cooling, and combustion instability mitigation. Education: PhD in Mechanical Engineering, Stanford University MS in Aerospace Engineering, MIT BS in Mechanical Engineering, Ohio University Research Focus Her work bridges computational fluid dynamics (CFD) with experimental validation, targeting efficiency improvements in wind energy systems and advanced thermal solutions for aerospace applications. Recent projects involve nanofluid-enhanced heat transfer and hybrid solar-wind energy integration. Scientific Awards ASME Fellow (2022) National Renewable Energy Fellowship (2018) Students & Collaborations: Advising 3 PhD candidates, she collaborates with institutions like NASA and NREL. Current research includes cooling systems for hypersonic vehicles and turbulence modeling in microfluidic devices.

Dale Wagnerمشاهده پروفایل

استاد

• Body Composition Assessment
• Exercise Physiology
• High-Altitude Physiology
• +۲ مورد دیگر

Dale Wagner is a Professor in the Department of Kinesiology and Health Science at Utah State University (College of Education and Human Services). He directs the Body Composition and Exercise Physiology laboratories. He earned a PhD in Exercise Physiology from the University of New Mexico (1997), an MEd from Temple University (1991), and a BS from Slippery Rock University (1988). He joined USU in 2004 after teaching at Vanguard University, was tenured in 2009, and promoted to full professor in 2014. He is a Fellow of the American College of Sports Medicine (ACSM). His research focuses on two primary areas: Body Composition Assessment (evaluating reliability/validity of methods like ultrasound and air displacement plethysmography) and Exercise in Extreme Environments (physiological responses to high altitude/hypoxia and PM2.5 pollution during exercise). His recent articles demonstrate a strong emphasis on methodological validation in body composition techniques and environmental physiology interventions. He received the Scholar/Researcher of the Year award (2009) from his department and was recognized as a Distinguished PhD Student (1997) at UNM. He has mentored over 30 graduate students, including recent advisees Cameron MacAleese, Merill Ward, and Liz Cafferty. Wagner oversees the Body Composition and Exercise Physiology labs at USU, supporting research in metabolic testing, environmental simulation, and biomechanics. His work frequently involves NCAA athletes and clinical populations.

• Large-scale Scientific Computing
• Computational Linear Algebra
• Parallel and Distributed Processing
• +۴ مورد دیگر

Professor Efstratios Gallopoulos is a faculty member at the Department of Computer Engineering & Informatics , University of Patras, where he holds the Division of Computer Software . He currently serves as Deputy Department Chair and Director of the High Performance Information Systems Laboratory (HPCLab) . His academic career spans multiple institutions including the University of Illinois at Urbana-Champaign, University of California Santa Barbara, and collaborations with INRIA Rennes and NASA Goddard Space Flight Center. Education : B.Sc. in Mathematics (First Class Honours) from Imperial College London (1979) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (1985) Research Focus : His work centers on Large-scale Scientific Computing with emphasis on Computational Linear Algebra , Parallel/Distributed Processing , and Data Mining . Recent publications highlight innovations in Randomized Numerical Linear Algebra , Heterogeneous Cluster Scheduling , and GPU-Accelerated Inversion Techniques . Article Trends : His research bridges High-Performance Computing with Data Science , focusing on scalable algorithms for Matrix Computations , Recommender Systems , and Biomarker Analysis . The work spans theoretical advancements (e.g., Givens Rotations ) and practical implementations (e.g., pylspack library). Scientific Awards : NASA Group Achievement Award for Massively Parallel Processor (MPP) development ACM SIGWEB Hypertext Ted Nelson Newcomer Award (2012) Advising and Grants : He has advised numerous research projects funded by European Research Council , Hellenic Foundation for Research and Innovation (HFRI) , and international bodies like the US National Science Foundation. Notably, he co-organized the 2015 Gene Golub SIAM Summer School and served as Chair of the SIAM Gene Golub Summer School Committee (2020-24). Labs and Teams : He leads the High Performance Information Systems Laboratory (HPCLab) and co-directs the interdisciplinary graduate program Data Driven Computing and Decision Making . His teams have contributed to the Cedar vector multiprocessor project at UIUC and Text-to-Matrix Generator (TMG) tools for data mining.

• Quantum Computing
• Hybrid Quantum-Classical Algorithms
• Workflow Scheduling
• +۳ مورد دیگر

Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.

• Human-Robot Interaction (HRI)
• Cognitive Ergonomics
• Eye-Tracking Technology
• +۳ مورد دیگر

Dr. Erik Billing is a researcher at the University of Skövde , actively contributing to the School of Informatics and affiliated with the Interaction Lab (ILAB) . His work focuses on human-robot interaction (HRI), cognitive ergonomics, and extended reality (XR) applications in industrial and educational contexts. Research Pillars : Human-Robot Interaction, Cognitive Ergonomics, Eye-Tracking, Virtual/Augmented Reality, Digital Human Modeling Key Projects : RO-LIV (social robots for elderly), EWASS (industrial HRI), OKAVIM (XR competency) Funding : Supported by AFA Insurance and Vinnova grants His recent work includes investigating body language in social robots, expectation formation in HRI, and gaze-based worker behavior prediction. Dr. Billing serves as editor for SweCog conference proceedings and contributes to VR/XR motor learning research.

Ioana O. Berceaمشاهده پروفایل

استادیار

• Data Structures
• Randomized Algorithms
• Approximation Algorithms
• +۱ مورد دیگر

Ioana O. Bercea is a tenure-track Assistant Professor in the Computer Science Department at KTH Royal Institute of Technology, affiliated with the Division of Theoretical Computer Science. She holds a PhD in Computer Science from the University of Maryland (advised by Samir Khuller), a Master's from the same institution (advised by Aravind Srinivasan), and a BS in Mathematics and Computer Science from the University of Chicago. Her research focuses on Data Structures (dictionaries, Bloom filters), Randomized Algorithms (hashing, clustering), and Computational Geometry (Traveling Salesman Problem). Her recent publications emphasize scalable data structures, dynamic filters, and algorithmic efficiency, with applications in database systems and high-dimensional optimization. Awards & Honors: Best Artifact of ACM SIGMOD 2023 Future Digileader (Digital Futures, 2023) VR Starting Grant (2024) She advises PhD student Jonas Østergaard Klausen (University of Copenhagen) and collaborates with research groups including BARC (Copenhagen) and Digital Futures. Her VR Starting Grant funds the project "DataTech: Techniques for scalable data storage and analysis."

• Cyber-Physical Systems
• Computer Science
• Robotics
• +۴ مورد دیگر

Jaroslav Klapalek is a PreDoc Researcher in the Cyber-Physical Systems department at Vienna University of Technology (TU Wien). His work focuses on formal verification of distributed timed-automata, resilient control mechanisms, and timing anomalies in automotive architectures. He is affiliated with the Embedded Systems Group (E191-01) and has contributed to research on machine learning for industrial predictive maintenance, consensus algorithms, and energy-efficient scheduling. Research Trends: Recent publications highlight expertise in formal verification of real-time constraints, security analysis in industrial CPS, and timing predictability under clock drift and network delays. Key methods include model checking, hybrid system modeling, and safety-critical protocol validation. Scientific Awards:

Mohammed Ali Khanمشاهده پروفایل

استادیار

• Renewable Energy
• Power Electronics
• Machine Learning
• +۵ مورد دیگر

Mohammed Ali Khan is an Assistant Professor at the Centre for Industrial Electronics, University of Southern Denmark, specializing in Power Electronics and Renewable Energy systems. His research aligns with the European Green Deal’s climate neutrality goals, focusing on AI-driven grid optimization, fault diagnostics, and EV charging infrastructure resilience. Ph.D. in Power Electronics, Jamia Millia Islamia (2021) M.Tech in Power Systems, Amity University (2016) B.Tech in Electrical and Electronics Engineering, Karunya Institute (2013) His research interests span Renewable Energy Transition, Power Electronics Converters, AI/ML for Grid Stability, and Fault Detection in Photovoltaic Systems. Key scientific contributions include 6 major awards, such as the World’s Top 2% Scientists in Energy (2024) and Otto Mønsteds Fond conference grants. His recent publications emphasize AI sustainability, digital twins for grid harmonics, and EV charging reliability. He has supervised projects on electrolyzer converters, microgrids, and hydrogen integration, and delivered guest lectures on AI applications in Power Electronics. World's Top 2% Scientists in Energy (2024, 2023) Otto Mønsteds Fond - Conference Participation Abroad (2024, 2023) Excellent Oral Presentation Winner (2022) As a supervisor , he has guided students in EV converter design, drone-based mapping, and electronics projects. His projects include PowerGridOptimiser (2024–2027) and ComElCo (2022–2025). Collaborations extend to institutions like Jamia Millia Islamia and University of Technology, Brno.