جست‌وجوی استاد و پژوهشگر

David Sjöbergمشاهده پروفایل

دانشیار

• Police Education
• Simulation Training
• Workplace Learning
• +۳ مورد دیگر

David Sjöberg serves as Associate Professor at Umeå University's Unit of Police Work, specializing in research, teaching, and pedagogical development for police and emergency response education. His work bridges academic theory with practical training methodologies for first responders. His educational background includes a Ph.D. in Education and the Swedish Docent title, signifying advanced research competence and doctoral supervision资格. Ph.D. in Education Docent in Education Sjöberg's research centers on simulation-based training innovations, examining psychological responses in mass casualty incidents, mixed reality applications, and informal workplace learning among police educators. He investigates how preparation phases, debriefing models, and role assignments impact practical knowledge development in vocational contexts, with strong emphasis on real-world applicability for police training. Analysis of his 15 most recent publications reveals consistent focus on simulation fidelity and learning transfer in emergency response training. Recent work (2023-2025) explores mixed reality integration and psychological adaptation in mass casualty scenarios, while earlier studies examine observer roles, secondary participant learning, and virtual case effectiveness. His research demonstrates methodological diversity through qualitative analyses, comparative studies, and longitudinal assessments. Awarded for teaching excellence, his recognitions include: Excellent teacher award at Umeå University Distinguished university teacher designation Sjöberg secures significant research funding through projects like MELODY (2018-2022) on police learning dynamics and Safety & Security Test Arena (2016-2019) for emergency response innovation. As Docent, he supervises doctoral candidates though specific advisees aren't listed in source materials. His grants consistently target simulation technology advancement and pedagogical refinement in high-stakes vocational training. He leads Umeå University's "Learning in police work" research profile, coordinating interdisciplinary collaboration between police educators, practitioners, and simulation specialists to develop evidence-based training protocols and evaluate learning outcomes in realistic operational environments.

• Communication networks
• Network security
• Software Defined Networks (SDN)
• +۷ مورد دیگر

Dr. Bhargavi Goswami is a lecturer at the School of Computer Science, Queensland University of Technology (QUT), with over 14 years of teaching experience in higher education. Her expertise spans communication networks, network security, and software-defined networks (SDN), where she integrates cutting-edge research into postgraduate teaching. Previously, she served as Assistant Professor and Head of Department (HOD) at CHRIST University and Garden City College in India. Education: PhD in Computer Science from QUT; professional certifications including CCNA and CCNP from Cisco. Dr. Goswami's research focuses on communication networks and network security, with a particular emphasis on Smart Grid Communication Networks, Software Defined Networks (SDN), Cryptography, Cybersecurity, Mathematical Modeling, and Congestion Control in Data Networks. Her current work explores the intersection of Quantum Computing, Machine Learning, and Network Programming to enhance communication security and efficiency. Her 15 most recent publications highlight trends in Smart Grid , SDN , and network security . Key subfields include latency optimization , load balancing , handoff methods , Wi-Fi Mininet , and Beacon controller scalability . Dr. Goswami has led multiple funded research projects, including work on low-latency communication for Smart Grids and P4-based network policies in SDN. She holds two patents and has authored monographs in her field. Her technical certifications and industry engagement underscore her practical contributions to communication systems and network security. She emphasizes ethical technology development and societal impact in her research and teaching.

Christopher C. Jobesمشاهده پروفایل

استاد

• Mechanical Engineering
• Engineering Mechanics
• Finite Element Analysis
• +۷ مورد دیگر

Christopher C. Jobes is a Professor in the Department of Mechanical Engineering at Geneva College, with a Ph.D. in Engineering from West Virginia University (1987). He also holds M.S. and B.S. degrees in Mechanical Engineering from West Virginia University (1985) and Geneva College (1983, 1982), respectively. Fields of Instruction: Mechanical Engineering & Engineering Mechanics Research Interests: Machine Component Design, Kinematics of Mechanisms, Finite Element Methods, Control Systems Design Professional Certification: Registered Professional Engineer (Pennsylvania) His recent work focuses on Mining Equipment Safety , including proximity detection systems, vibration control, and electromagnetic interference mitigation. He has collaborated extensively with NIOSH on safety protocols for underground mining machinery. Key awards include: Excellence in Scholarship Award, Geneva College (2020-2021) Silver Chairman’s Award (2014, Federal Executive Board of Pittsburgh) Outstanding Scientific Paper Nominee (2013, Charles C. Shepard Science Award) NIOSH/HHS Excellence in Communication (2012) Jobes serves as faculty advisor for Geneva College’s SAE Baja Racing Team and has over 69 publications with 35 first authorships in peer-reviewed journals and conferences.

Dilum Bandaraمشاهده پروفایل

عضو هیئت علمی

• Distributed Systems
• Blockchain
• Cloud Computing
• +۱۳ مورد دیگر

Dilum Bandara is a Principal Research Scientist at CSIRO's Data61 in Australia and an Adjunct Senior Lecturer at the School of Computer Science and Engineering, Faculty of Engineering, University of New South Wales (UNSW). He has previously served as a Senior Lecturer at the University of Moratuwa, Sri Lanka, and has over two decades of experience in research, teaching, and consultancy in distributed systems, security, and software engineering. His academic qualifications include: PhD in Computer Science, Colorado State University, USA (2012) MS in Computer Science, Colorado State University, USA (2008) BSc Eng. (Hons) in Computer Science and Engineering, University of Moratuwa, Sri Lanka (2004) Dilum's research interests are centered on Distributed Systems (Blockchain, Cloud, P2P), Computer Security , Software Architecture , Data Engineering , Performance Engineering , and the Internet of Things (IoT) . He applies these technologies in multidisciplinary domains such as Supply Chains , Digital Finance , Environmental, Social, and Governance (ESG) , Fleet Management , and Weather Monitoring . His work emphasizes real-world impact through trusted data management in multi-party ecosystems. The analysis of his recent publications reveals a strong focus on blockchain for transparency and security, cloud-native performance engineering, IoT integration with edge and cloud, and data-driven solutions for smart cities and sustainability. His work consistently bridges theoretical innovation with practical deployment, particularly in national and international infrastructure projects. His scientific awards include: Best Paper Award at BPM 2024 Multiple CSIRO internal awards (Customer First, Engineering and Technology, Collaboration) from 2021–2023 Student Paper Award (Merit) at IEEE SOLI 2018 Award of Excellence for Outstanding Research at University of Moratuwa (2015–2018) Dilum has led and contributed to several research grants, particularly during his time at the University of Moratuwa, including projects on smart city integration, real-time data forecasting, and cloud platforms for scientific computing. He has also held leadership roles such as Director of the Engineering Research Unit and co-founder of VaticHub. He is actively involved in professional communities as a Senior Member of IEEE and a Chartered Engineer with IESL. At CSIRO, he serves as a Health and Safety Representative, reflecting his commitment to corporate citizenship. He has advised students and early-career researchers, though specific names are not listed in the provided text. His labs and research teams include the Architecture and Analytics Platforms (AAP) team at CSIRO Data61 and collaborations with academic institutions like UNSW and University of Moratuwa.

Osama A. Mohammedمشاهده پروفایل

استاد

• Power Systems
• Smart Grid
• Energy Cyber Physical Systems
• +۹ مورد دیگر

Dr. Osama A. Mohammed is a Distinguished Professor and Associate Dean of Research at the College of Engineering and Computing, Florida International University (FIU), where he also serves as Director of the Energy Systems Research Laboratory (ESRL) in the Department of Electrical and Computer Engineering. He has been a faculty member since 1983 and is internationally recognized for his pioneering work in power systems, smart grids, and energy cyber-physical systems. His educational background includes: B.S. in Electrical Engineering, Zagazig University, Egypt (1977) M.S. in Electrical Engineering, Virginia Tech (1981) Ph.D. in Electrical Engineering, Virginia Tech (1983) Dr. Mohammed's research is centered on advancing energy systems through innovation in power electronics, electric drives, computational electromagnetics, and smart grid technologies. He emphasizes real-world applications, student involvement, and interdisciplinary collaboration. His work bridges academia and industry, focusing on resilient, secure, and efficient energy infrastructure. His extensive publication record—over 750 papers—demonstrates a strong trend toward intelligent control, cybersecurity in energy systems, real-time simulation, and optimization of hybrid AC/DC microgrids. Many of his recent works integrate AI and machine learning for predictive maintenance, demand response, and digital twin applications in power systems. His scientific awards and recognitions include: Fellow of the National Academy of Inventors (2022) IEEE Fellow (1996) ACES Fellow (2006) IEEE PES Cyril Veinott Award (2010) Multiple Best Paper Awards in IEEE Transactions Top 2% Scientist Worldwide (Stanford, 2020) Dr. Mohammed is a dedicated mentor, having supervised 34 PhD graduates and over 60 master’s students, many of whom now hold prestigious positions in academia and industry. He has secured over $30 million in research funding from DoE, ONR, NSF, and industry. His leadership extends to major multi-university consortia, including the $12.2M DoE SEEDS Center. He has developed key research labs at FIU, such as the Smart Grid Test-Bed and Power Electronics Laboratory, providing unparalleled hands-on experience for students.

Gwen Wyattمشاهده پروفایل

استاد

• Cancer Research
• Complementary Therapies
• Symptom Management
• +۵ مورد دیگر

Gwen Wyatt is a Professor in the College of Nursing at Michigan State University, specializing in outcomes research for cancer patients, particularly focusing on complementary therapies and caregiver support. She holds a Ph.D. in Counseling and Educational Psychology from MSU, alongside degrees in Nursing and Education from Wayne State University and Henry Ford Hospital School of Nursing. Education: M.A. in Education (MSU) R.N. from Henry Ford Hospital School of Nursing M.S. in Nursing (Wayne State University) Ph.D. in Counseling and Educational Psychology (MSU) Her research emphasizes integrating conventional and complementary therapies to improve cancer care outcomes. Key areas include reflexology, acupressure, and Saw Palmetto for symptom management, alongside studies on caregiver burden and the efficacy of nature-based interventions like virtual reality for hospice support. Dr. Wyatt has pioneered trials evaluating caregiver-delivered therapies and led projects on the psychosocial impact of cancer caregiving. Her work has been recognized through awards such as Fellow in the American Academy of Nursing (FAAN) and Fellow in the American Psychosocial Oncology Society (FAPOS). Recent publications highlight trends in nature-based interventions, caregiver mental health, and technology-driven solutions for palliative care. Awards: Fellow, American Academy of Nursing (FAAN) Fellow, American Psychosocial Oncology Society (FAPOS) Dr. Wyatt’s research bridges clinical practice and patient needs, with a focus on marginalized populations and rural healthcare disparities. Her lab explores innovative technologies like VR and AI to enhance caregiver respite and symptom management.

• Distributed Systems
• Embedded Systems
• Real-Time Systems
• +۳ مورد دیگر

Brian Nielsen is an Associate Professor at Aalborg University's Department of Computer Science, under The Technical Faculty of IT and Design. His research focuses on Distributed Systems, Embedded Systems, Real-Time Systems, Model Checking, IoT Networks, and Autonomous Vehicles. He has been actively involved in projects such as domOS (operating system for smart buildings), FED (Flexible Energy Denmark), and compositional verification of multicore avionics systems. His work emphasizes model-based validation, formal methods, and industrial applications, particularly in safety-critical systems. Recent research highlights include energy-efficient motion planning for autonomous vehicles, comparative analysis of network simulators, and sigfox-based IoT modeling. He has received awards including the Application Coordinator Pool and START funds (both in 2007). Key Projects: domOS, FED, compositional verification of multicore systems Grants: Multiple EU-funded projects (e.g., Horizon Europe) and industry collaborations Awards: Application Coordinator Pool (2007), START funds (2007) His publications span over 80 articles, with a focus on real-time systems, IoT interoperability, and model-driven development. He has advised two PhD students and has been actively involved in organizing international conferences and workshops.

Jennifer Thibodeauمشاهده پروفایل

استاد

• Cardiology
• Heart Failure
• Left Ventricular Assist Devices (LVADs)
• +۵ مورد دیگر

Jennifer Thibodeau, M.D., M.S.C.S., is a Professor in the Division of Cardiology at UT Southwestern Medical Center , where she serves as Medical Director of the Heart Failure Program and ECMO . Her clinical and research focus spans heart failure , left ventricular assist devices (LVADs) , and cardiac transplantation . Board-certified in cardiovascular disease and advanced heart failure/transplant cardiology , she joined the faculty in 2011 and mentors medical students, residents, and fellows in heart-failure rotations. Education: M.D. from University of Maryland School of Medicine, Chief Residency at University of Maryland Medical Center, Fellowships in cardiology and advanced heart failure/transplant cardiology at UT Southwestern M.S.C.S. from UT Southwestern B.S. in biochemistry from Georgetown University Research Interests: Encompasses clinical investigations in heart failure , LVADs , and cardiac transplantation , with a focus on symptom characterization (e.g., bendopnea) , cardiopulmonary diagnostics , and telehealth applications . Her work includes developing machine learning tools for post-transplant renal outcomes and analyzing discordance in patient-physician prognosis perceptions . Scientific Awards: 2012 finalist, American Heart Association’s Samuel A. Levine Young Clinical Investigator Award 2015 recipient, Journal of the American College of Cardiology: Heart Failure Young Author Achievement Award 2015–2017 Texas Rising Star 2018 Super Doctor, Texas Monthly Professional Affiliations: Member of the American College of Cardiology , American Heart Association , International Society of Heart and Lung Transplantation , and Heart Failure Society of America .

• Robotics
• Industrial Automation
• Control Systems
• +۶ مورد دیگر

Petter Falkman is a researcher at Chalmers University of Technology, specializing in robotics, industrial automation, and control systems. His work bridges theoretical advancements with practical applications in manufacturing, leveraging technologies like digital twins, eye tracking, and virtual reality. Key Research Areas: Robotics, Industrial Automation, Control Systems, Digital Twins, Human-Computer Interaction, Machine Learning. Collaborations: Frequently works with Bengt Lennartson, Kristofer Bengtsson, Martin Dahl, and colleagues across institutions. Publication Trends: Recent articles focus on gaze-based human intention prediction, ROS2 control architectures, and compositional automated planning. His work integrates machine learning with industrial control systems, emphasizing event-driven design and virtual commissioning. Methodologies: Develops frameworks like EPypes for data pipelines, contributes to STEP AP214 model generation, and explores energy optimization in multi-robot systems.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +۵ مورد دیگر

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

Camilla De Camargoمشاهده پروفایل

مدرس

• Criminology
• Policing
• Criminological Theory
• +۶ مورد دیگر

Dr Camilla De Camargo is a Lecturer in Criminology at Lancaster University's School of Social Sciences, specializing in policing, criminological theory, and the media coverage of crime. Her research explores police uniforms, performance, gender dynamics, and the concept of 'dirty work' in policing, with significant focus on how police officers navigated challenges during the COVID-19 pandemic. De Camargo's research interests center on the sociological dimensions of policing, particularly examining how police officers manage occupational taint, maintain professional identity, and navigate organizational challenges. Her work reveals how uniforms function as both practical equipment and symbolic representations of authority, with particular attention to how gender intersects with police performance. During the pandemic, her research documented how police officers experienced contamination anxiety, navigated inconsistent safety protocols, and managed the psychological impacts of being labeled 'dirty' key workers. Her publications demonstrate consistent examination of police work through sociological and criminological lenses, with recent work heavily influenced by pandemic conditions but building on foundational research in police subculture and occupational identity. The research shows evolving focus from traditional police culture studies to contemporary challenges of public health emergencies and their impact on frontline policing. De Camargo actively supervises postgraduate research students, contributing to the next generation of criminological scholarship. Her teaching extends beyond standard curriculum through 'exotic stranger' lectures where she contributes specialized knowledge to various criminology modules, sometimes incorporating distinctive presentation styles.

Mariana Borukovaمشاهده پروفایل

دانشیار

• Sports Science
• Physical Education
• Basketball Training
• +۵ مورد دیگر

Associate Professor Mariana Borukova, D.Sc. is affiliated with the National Sports Academy "Vassil Levski" in Bulgaria as a faculty member of the Faculty of Pedagogy , specifically the Department of Basketball, Volley-ball, Handball . Her work focuses on youth basketball training, physical development metrics, and inclusive sports programs. Research Interests Dr. Borukova's research spans: Physical development and motor skills in children through sports Inclusive basketball for athletes with intellectual disabilities Post-pandemic adaptations in sports education Youth basketball performance assessment using technologies like Chronojump Social capital building via team sports Educational strategies during emergencies Article Trends Her publications emphasize: Longitudinal studies of physical preparedness in 12-19-year-old athletes Comparative analyses of training efficacy across age groups Pandemic-era shifts in school sports and remote learning Anthropometric and performance benchmarking Unified sports programs for inclusivity

Lorenzo Vangelistaمشاهده پروفایل

دانشیار

• Internet of Things
• Low Power Wide Area Networks (LPWAN)
• LoRa
• +۷ مورد دیگر

Lorenzo Vangelista serves as Associate Professor of Telecommunications at the Department of Information Engineering, University of Padua, Italy, a position held since 2006. He teaches core courses including Internet of Things and Smart Cities, Telecommunications, and Project Management. His academic leadership includes chairing the Information Engineering Degree curriculum from 2010 to 2014. His research expertise spans Internet of Things , Smart Cities , 5G systems (with focus on machine-to-machine traffic), DVB systems , and OFDM-based communications . He is a pioneer in LoRa and LPWAN technologies, contributing to standardization bodies such as IEEE 802.11, 3GPP, ETSI, and the LoRa Alliance. His work integrates statistical signal processing , embedded systems design , and protocol development for next-generation wireless networks. With over 80 publications, his recent work explores LoRaWAN enhancements for satellite IoT, vehicular communications, and interstellar optical systems. Key innovations include golden modulation for massive IoT and machine learning applications for network optimization. His research bridges theoretical advances with real-world deployment, as seen in field tests for vehicle-to-roadside communication and underwater acoustic modems. Professor Vangelista has supervised nine PhD students (including a dual PhD with Supèlec, Paris) and numerous MSc theses. He led European projects PACIF and SWAP (a Marie Curie best practice) and regional initiatives. His entrepreneurial endeavors include founding Patavina Technologies (acquired by A2ASmartCity in 2017) and Wireless and More, developing IoT solutions like the LoRa Suite. He maintains strong industry ties with Nokia Bell Labs, RAI, and Wisycom, and collaborates with international research centers including CTTC. His standardization contributions notably include co-authoring foundational DVB-T2 papers and serving as ETSI Rapporteur for LPWAN-CSS.

AYŞEGÜL GÜLEÇمشاهده پروفایل

دانشیار

• Orthodontics
• Clinical Sciences
• Dental Research
• +۷ مورد دیگر

AYŞEGÜL GÜLEÇ is an Associate Professor at Gaziantep University, Faculty of Dentistry, Department of Clinical Sciences, specializing in Orthodontics. She has been actively involved in academic and clinical work since completing her doctorate in Orthodontics from Marmara University in 2015. Position: Associate Professor Institution: Gaziantep University Faculty: Faculty of Dentistry Department: Department of Clinical Sciences / Orthodontics Email: aysegulgulec@gantep.edu.tr Dr. Güleç completed her dental education at Marmara University (2002-2008), followed by specialization and integrated doctorate in Orthodontics (2010-2015). She further expanded her expertise with an Associate Degree in Health Institutions Management from Anadolu University (2017). Her research spans multiple dimensions of orthodontics, with particular focus on malocclusion treatment protocols, orthodontic biomaterials, and the relationship between dental structures and speech production. She has published extensively on topics including root resorption mechanisms, 3D printing applications in orthodontics, and the effects of various orthodontic appliances on craniofacial structures. Her work often bridges clinical orthodontics with advanced imaging techniques and biological assessments. Analysis of her recent publications reveals a strong emphasis on evidence-based orthodontic treatment approaches, with significant contributions in the areas of Class III malocclusion correction, rapid maxillary expansion techniques, and innovative applications of photobiomodulation in orthodontic practice. Her research frequently employs advanced methodologies including micro-CT imaging, RT-PCR analysis, and cephalometric assessments. Dr. Güleç has successfully supervised numerous graduate students, with 16 dental specialist theses and 2 doctoral dissertations completed under her guidance. She has led and participated in multiple research projects funded by higher education institutions, focusing on areas such as biomaterials testing, orthodontic appliance efficacy, and innovative treatment protocols. Her teaching portfolio includes doctoral, master's, and undergraduate courses covering orthodontic principles, diagnostic methods, and clinical applications.

• Hearing Impairment
• Sensory Aid
• Logopedics
• +۷ مورد دیگر

Sabina Storbjerg Houmøller is an Assistant Professor at the Department of Clinical Research, University of Southern Denmark, affiliated with the Research unit of Oto Rhino Laryngology (Odense) at KI, OUH. She holds a dual role as both an academic researcher and a Fitting Audiologist at Widex A/S, demonstrating strong connections between clinical practice and academic research. Her research interests focus on hearing impairment, sensory aids, logopedics, patient-reported outcomes, and presbyacusis, with particular expertise in randomized controlled trials and observational studies in audiology. Her work bridges clinical audiology with health services research, examining how hearing aid technology impacts real-world outcomes and quality of life. Dr. Houmøller's research output shows a clear trend toward understanding the relationship between hearing aid technology, patient-reported outcomes, and quality of life improvements, with recent work focusing on occupational noise exposure, tinnitus annoyance, and adaptation processes in hearing aid users. Her studies predominantly utilize robust methodologies including randomized controlled trials and longitudinal observational designs. She actively presents her findings at major conferences, demonstrating strong engagement with the international audiology community. Her collaborative work involves multiple Danish institutions and researchers, highlighting her integration within the national research ecosystem. As both a researcher and clinician, Dr. Houmøller contributes significantly to advancing evidence-based practices in hearing rehabilitation while maintaining direct connections to clinical applications through her work at Widex A/S.