جست‌وجوی استاد و پژوهشگر

Tingjun Leiمشاهده پروفایل

استادیار

• Bio-inspired Artificial Intelligence
• Robotics and Autonomous Systems
• Optimization and Evolutionary Computation
• +۳ مورد دیگر

Dr. Tingjun Lei is an Assistant Professor at the University of North Dakota's School of Electrical Engineering and Computer Science (SEECS). With a Ph.D. in Electrical and Computer Engineering from Mississippi State University (2023), his research focuses on bio-inspired artificial intelligence , robotics and autonomous systems , and human-autonomy teaming (HAT) . Research Interests : Bio-inspired AI for robot cognition Multi-robot coordination and control Graph-based path planning algorithms Human-autonomy collaborative systems Intelligent transportation frameworks Recent Article Trends span robotics , bio-inspired computation , and machine learning , with specific focus areas in swarm intelligence , cognitive mapping , multi-agent safety , and adaptive navigation systems . Scientific Awards : 2025 Honorable Mentions (IJCNN 2025) 2025 Early Career Scholars Award (UND) 2024 Best Paper Awards (Biomimetic Intelligence & Robotics, ASEE ECE Division) 2022-2023 ECE Best Graduate Researcher (Mississippi State) Students : Ashwin Mukunda Devanga (Ph.D.), Samuel Steen (Ph.D.), and Justin London (Ph.D.)

Siân L. Curtisمشاهده پروفایل

استاد

• Statistical Demography
• Reproductive Health
• Contraceptive Use Dynamics
• +۵ مورد دیگر

Siân L. Curtis is a Professor at the University of North Carolina , specializing in Maternal and Child Health within the School of Public Health. Her career spans decades of leadership in global health, including serving as Director of the MEASURE Evaluation Project from 2002 to 2012, overseeing 150+ monitoring and evaluation activities across 30+ countries. Key roles: Senior Evaluation Specialist (MEASURE Evaluation), former Senior Analyst (DHS Project) Research themes: contraceptive use dynamics, fertility preferences, maternal health equity, survey methodology, and measurement innovation Research Focus: Curtis pioneered contraceptive calendar data analysis using DHS surveys, revealing complexities in fertility intentions post-contraceptive discontinuation. Recent work examines maternal health disparities in Bangladesh, comparing urban/rural service equity (2016 BMMS) and validating self-reported obstetric complications. Methodological contributions include spatial linking of facility/population surveys and verbal autopsy reliability for maternal mortality estimation. Publications: Over 74 citations include groundbreaking studies on contraceptive discontinuation, maternal health metrics, and survey design challenges. Her 2023 Demography paper introduces novel statistical models for unintended pregnancy analysis. Global Impact: Projects span Zambia (gender equity in food security), Ukraine (TB/HIV integration), and multiple countries via the Data for Impact (D4I) initiative. Current work explores complexity-aware evaluation frameworks for contraceptive access portfolios.

• Manufacturing Technologies
• Product-Service Systems
• Quality Engineering
• +۳ مورد دیگر

Federico Barravecchia is a Fixed-term Researcher (Law 240/10 art.24-b) and tenure-track Assistant Professor at the Department of Management and Production Engineering (DIGEP) , Politecnico di Torino. He serves as a Member of the University Internship Commission and has been recognized with Quality Awards in 2018 and 2019 by Politecnico di Torino. Academic Role: Assistant Professor in Industrial and Information Engineering (Area 0009) Research Group: Quality Engineering (DIGEP) Research Interests focus on advanced manufacturing technologies, quality engineering, and product-service systems. His work bridges servitization in manufacturing with emerging Quality 4.0 paradigms, particularly in human-robot interaction and big data analytics applications. Teaching Contributions include leadership in the Service Quality and Customer Experience course for the Master's Degree Course in Management Engineering since 2022, with earlier roles as course collaborator for Quality in Services and Production Systems courses from 2019 to 2021. Scientific Achievements include significant publications in top journals like the International Journal of Quality and Reliability Management and Quality Engineering , addressing topics such as: Digital voice-of-customer processing Collaborative robotics cost modeling Affective computing in manufacturing Servitization measurement frameworks User sentiment analysis for service quality

• Cybersecurity
• Machine Learning
• Network Security
• +۶ مورد دیگر

Dr. Zhiyuan Tan is an Associate Professor in the School of Computing at Edinburgh Napier University (ENU), specializing in cybersecurity research. He holds a PhD in Computer Systems from the University of Technology Sydney (UTS), Australia (2014), an MEng from Beijing University of Technology, China (2008), and a BEng with high distinction from North-eastern University, China (2005). Before joining ENU in 2016, Dr. Tan held research positions at the University of Twente (Netherlands), University of Technology Sydney (Australia), and La Trobe University (Australia). Dr. Tan's research focuses on cybersecurity, machine learning, data analytics, virtualisation, and cyber-physical systems. His work has resulted in over 44 scholarly publications with an H-Index of 13 and more than 830 citations according to Google Scholar. His recent publications demonstrate a continued focus on network security, intrusion detection systems, and the application of machine learning techniques to cybersecurity challenges, with publications spanning from 2022-2025 in top venues including IEEE Transactions and international conferences. Dr. Tan has received significant research funding, including AUD 27,800 from CSIRO and UTS for autonomous network intrusion detection research and £6,987 from ENU for securing future 5G health care systems. His research has been recognized with awards including the National Research Award 2017 from the Research Council of the Sultanate of Oman, a Best Paper Award, and the Kaspersky Lab's Annual Student Cyber Security Conference Finalist Award. National Research Award 2017 from the Research Council of the Sultanate of Oman Best Paper Award Kaspersky Lab's Annual Student Cyber Security Conference Finalist Award Dr. Tan has mentored 9 PhD students over the past 5 years, with 6 successfully completing their studies. His students have produced 12 journal and 10 conference publications. He has also served as an editorial board member for international journals, organized special issues, and participated as a technical program committee member for major international conferences. Dr. Tan is currently recruiting PhD students for research projects on network security, adversarial machine learning for anomaly/malware detection, virtualization security, and IoT security.

Mark C. Bowlerمشاهده پروفایل

دانشیار

• Leadership Assessment
• Organizational Behavior
• Personality Psychology
• +۲ مورد دیگر

Mark C. Bowler serves as Associate Professor and Program Director for Occupational Health Psychology within the Department of Psychology at East Carolina University. His academic appointments include active faculty status with office location in Rawl Building 111 and contact via bowlerm@ecu.edu. Dr. Bowler's research centers on three interconnected domains: Leadership Assessment through assessment centers and personality structure analysis; Organizational Behavior focusing on interpersonal aggression dynamics; and Occupational Health Psychology examining workplace stressors. His methodological expertise spans psychometric validation, conditional reasoning testing, and statistical modeling of behavioral data. Recent publication trends reveal strong emphasis on educational psychology (teacher stress under accountability policies), cross-cultural mental health (depression screening in Latino populations), and advanced psychometrics (test faking, banding corrections, g-theory applications). His work consistently bridges theoretical constructs with practical measurement solutions. Dr. Bowler actively mentors graduate students, with availability for new Master's and doctoral advisees during the 2020-21 academic year. His research program engages with PASS Clinic resources for clinical service training while maintaining focus on organizational assessment methodologies. Administrative leadership includes directing ECU's Occupational Health Psychology program, with operational base in the Department of Psychology's Rawl Building facilities. Current research trajectories indicate expanding work on culturally-responsive assessment tools and organizational stress interventions.

• Condition Monitoring
• Fault Analysis
• Renewable Energy Systems
• +۵ مورد دیگر

Dr Nur Sarma is an Assistant Professor in the Department of Engineering at Durham University. He specializes in renewable energy systems, electrical power systems, and advanced control strategies. His research focuses on condition monitoring, fault analysis, and fault mitigation strategies for electrical machines and drive systems. He currently serves as the EDI and Wellbeing Director of the Durham University Engineering Department and holds an EPSRC EDI+ Fellowship. He is actively involved in promoting equity, diversity, and inclusion through roles such as Co-chair of the Durham University International Staff Network, member of the Women in Engineering Society (WES Durham), and Mentoring Coordinator for IEEE UK & Ireland Women in Power Group. He is also an EPSRC-WES Ambassador and a Programme Committee Member for the IEEE Women in Engineering International Leadership Conference (WiE ILC 2025). His research interests include electrical machine modeling, grid integration of renewable systems, and sensor-based condition monitoring. Key contributions include work on DFIG control strategies, fault detection using controller signals, and fiber optic sensing for machine diagnostics. Dr Sarma has authored over 20 publications in top conferences and journals, including IEEE Transactions on Sustainable Energy and International Journal of Electrical Power & Energy Systems. His work has been recognized with awards such as the Best Paper Prize at ICRERA 2016 and the TÜBİTAK International Postdoctoral Fellowship (2019). He currently supervises two PhD students at the Electrical Power Node and has taught modules like ENGI4467 on electrical energy conversion since 2022.

Thivya KANDAPPUمشاهده پروفایل

استادیار

• Human-Machine Collaborative Systems
• Pervasive Sensing & Systems
• Human-Computer Interaction
• +۶ مورد دیگر

Thivya KANDAPPU is an Assistant Professor at the School of Computing and Information Systems, Singapore Management University (SMU). Her research focuses on mobile and wearable computing systems for human cognition monitoring, memory modeling, and technology-enhanced learning. Education: PhD in Computer Science, University of New South Wales (2014) Research Interests span: Human-Centric Wearable Systems Cognitive State Analysis Event-Based Vision & Sensing Privacy in Pervasive Systems Health & Wellbeing Applications Smart City Mobility Analytics Selected Publications demonstrate expertise in eye tracking, cognitive monitoring, and privacy-preserving wearables, with recent work appearing in NeurIPS and ACM IMWUT. Research Grants include projects funded by MOE and A*STAR on cognitive dynamics, privacy-aware systems, and multimodal travel analytics. Professional Service involves organizing AutoMLPerSys 2025, and serving on TPCs for ACM MobiSys 25, IEEE PerCom 25, and ICDCN 25.

Heather Gunnمشاهده پروفایل

دانشیار

• Sleep Health
• Social Determinants of Sleep
• Sleep in Dyads
• +۳ مورد دیگر

Dr. Heather Gunn is an Associate Professor in the Department of Psychology at the University of Alabama's College of Arts & Sciences. She directs research on social determinants of sleep health, with particular focus on dyadic sleep patterns, adolescent development, and cardiovascular outcomes. Her NIH-funded work includes studies on school start times and family sleep dynamics. Education includes: PhD in Clinical Health Psychology, University of Utah Clinical Internship, Rush University Medical Center Postdoctoral Fellowship, University of Pittsburgh Research examines how interpersonal relationships and socioeconomic factors influence sleep architecture across developmental stages. Current projects investigate school start time impacts on adolescents and family systems, sleep-cardiovascular pathways, and rural health disparities. Research Publications: Her extensive publication record demonstrates consistent focus on dyadic sleep concordance, family influences on sleep architecture, and socioeconomic determinants of sleep health. Recent work develops novel measurement tools for couple sleep dynamics. Leads the Behavioral Sleep Medicine Training Program and teaches courses in Behavioral Medicine, Sleep Science, and graduate practicum supervision. Collaborates across campus on sleep research in athletic and geriatric populations.

• 5G/6G Physical Layer signal processing algorithms
• Machine Learning techniques for Physical Layer signal processing
• Ultra-Reliable Low-Latency Communications
• +۵ مورد دیگر

Dr. Beeshanga Abewardana Jayawickrama is a Senior Lecturer and Data Science Engineering Course Director at the School of Electrical and Data Engineering, University of Technology Sydney (UTS). He holds a BEng in Telecommunications Engineering (Hons I) and a PhD in Electronic Engineering (Wireless Communications) from Macquarie University, Sydney, Australia, completed in 2011 and 2015 respectively. As a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), he maintains active research and industry collaborations. His educational background includes: BEng in Telecommunications Engineering (Hons I), Macquarie University (2011) PhD in Electronic Engineering (Wireless Communications), Macquarie University (2015) Dr. Jayawickrama's research focuses on cutting-edge wireless communication technologies with particular emphasis on 5G/6G Physical Layer signal processing algorithms, Machine Learning techniques for Physical Layer signal processing, Ultra-Reliable Low-Latency Communications, Non-Terrestrial Networks, Compressed Sensing (Sub-Nyquist Sampling), and spectrum sharing. His work bridges theoretical innovation with practical implementation, evidenced by numerous patents and industry collaborations. He has published over 40 prestigious conference and journal papers while developing algorithms that have been incorporated into commercial 5G base stations. Analysis of his recent publications reveals a strong focus on satellite communications, particularly cognitive GEO-LEO satellite networks, where he explores spectrum sharing, beam design, and interference management. His research increasingly integrates machine learning techniques with traditional signal processing approaches, especially for spectrum sensing and channel estimation in next-generation wireless systems. The trend shows growing emphasis on practical implementation and experimental validation of theoretical concepts. His scientific recognition includes: Macquarie University Medal in Engineering Vice-Chancellor's Commendation for Academic Excellence Outstanding Teacher Award (2021) Multiple competitive scholarships from Macquarie University and CSIRO In terms of teaching and supervision, Dr. Jayawickrama has taught numerous undergraduate and postgraduate subjects including Advanced Telecommunication Engineering, 4G/5G Mobile Technologies, Communication Systems, and Engineering Research Thesis. His current research is supported by significant grants including the AI-SSPCAS project (CSIRO), Smart Flood and Storm Intelligence Sensing Initiative (NSW Department), and CogSat: Cognitive Satellite Radio (SmartSat CRC). Previously, he has secured research funding from Intel Corporation and Nokia Research Centre. Dr. Jayawickrama has held leadership roles including Course Director for Data Engineering since 2021 and UTS IEEE Student Branch Counsellor from 2017-2020. His industry experience includes research positions at Ericsson in Sweden (working on 5G New Radio receiver algorithms) and Intel Labs in the USA (working on Licensed Shared Access and Citizens Broadband Radio Service).

Timothy D. Starkمشاهده پروفایل

استاد

• Geotechnical Engineering
• Energy-Water-Environment Sustainability
• Railroad Geotechnics
• +۶ مورد دیگر

Dr. Timothy D. Stark is a Professor of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign and CEE Excellence Faculty Scholar. With expertise in geotechnical engineering, he focuses on static and seismic stability of slopes, dams, levees, waste containment facilities, railroad geotechnics, and geosynthetics. His interdisciplinary research bridges theoretical and applied engineering, with significant contributions to geomembrane technology and slope failure mechanisms. Education: B.S. (University of Delaware, 1981), M.Eng. (UC Berkeley, 1984), Ph.D. (Virginia Tech, 1987) Research interests include geotechnical stability analysis, geosynthetics, waste containment systems, three-dimensional slope modeling, and geothermal energy applications. Recent work explores liquefaction in earthquakes, landfill fires, and advanced monitoring techniques like LiDAR and seismic surface wave testing. His publications span 15 recent articles on topics such as geosynthetic interface strength, wildfire-affected soil properties, and levee remediation methods. Awards highlight his impact across teaching, research, and service, including the prestigious George H. Norman Medal and Walter Huber Prize. Key Consulting Roles: Fundão Tailings Dam failure (Brazil), Bridgeton Landfill fire (MO), Yeager Airport landslide (WV) Leadership: Vice President, International Geosynthetics Society (2017–2021); Editor, ASCE Journal of Geotechnical and Geoenvironmental Engineering (1997–2023)

Steven Goodmanمشاهده پروفایل

استاد

• Epidemiology
• Biostatistics
• Clinical Research Methods
• +۴ مورد دیگر

Steven Goodman is a Professor of Epidemiology and Population Health, and Medicine at Stanford University, serving as Associate Dean of Clinical and Translational Research. He leads initiatives like the Stanford Program on Research Rigor and Reproducibility (SPORR) and co-directs the Meta-research Innovation Center at Stanford (METRICS). His research focuses on improving research reproducibility, evidence synthesis, and clinical trial methodology. Goodman holds academic appointments in multiple departments and has served on prestigious committees such as the National Academy of Medicine and the Patient-Centered Outcomes Research Institute (PCORI). Educationally, he earned an AB from Harvard, an MD from NYU, and advanced degrees in Biostatistics and Epidemiology from Johns Hopkins. He has authored over 200 publications, emphasizing Bayesian methods, ethical research practices, and meta-research. His awards include the Abraham Lilienfeld Award and induction into the National Academy of Medicine. Goodman teaches courses on clinical research methods, scientific inference, and diagnostic technologies. Key contributions include advancing open science practices, data-sharing policies, and critical analyses of FDA decision-making. His work bridges statistical rigor with practical applications in healthcare, aiming to enhance the reliability and relevance of biomedical research.

Matthew Boltonمشاهده پروفایل

دانشیار

• System Safety
• Human Performance Modeling
• Formal Methods
• +۶ مورد دیگر

Matthew Bolton is an Associate Professor in the Department of Systems and Information Engineering at the University of Virginia. His research focuses on human-centered systems engineering, particularly addressing how human behavior and cognition contribute to system failures. He has held prior roles as a Senior Researcher at NASA Ames Research Center and faculty positions at the University of Illinois at Chicago and the University at Buffalo. Bolton specializes in formal methods to enhance system safety in domains like aerospace, healthcare, and cybersecurity. Dr. Bolton holds B.S., M.S., and Ph.D. degrees in Computer Science and Systems Engineering from the University of Virginia (2003, 2006, 2010). His work has been funded by organizations including the European Space Agency, NSF, NASA, AHRQ, and the Department of Defense. His research interests span system safety, human performance modeling, formal methods, cybersecurity, and engineering ethics. Notable contributions include developing the SAFPH formal human reliability analysis framework and advancing medical alarm audibility standards. Recent publications emphasize trust in AI systems, tactile navigation for the visually impaired, and human-agent teaming dynamics. His work has earned prestigious awards, including the Jerome H. Ely Human Factors Article Award (2021) and the William C. Howell Young Investigator Award (2018). Bolton’s research integrates formal verification techniques with human factors engineering to prevent errors in safety-critical systems. He leads the Formal Human Systems Laboratory, exploring inclusive design principles and ethical engineering practices.

Anne Bentleyمشاهده پروفایل

مدرس ارشد

• Counselling Psychology
• Student Wellbeing
• International Students
• +۲ مورد دیگر

Dr. Anne Bentley is a Senior Lecturer in Counselling and Psychotherapy at Plymouth Marjon University. She holds a Doctorate in Education from the University of Plymouth and is a BACP Accredited Counsellor. Her research focuses on student mental health services, international student wellbeing, and gender issues in higher education. Dr. Bentley managed Student Wellbeing Services at the University of Plymouth (2012-2021) and chaired the British Association for Counselling Heads of University Counselling Services (2019-2021). She developed peer-support frameworks for postgraduate mental health and online suicide prevention training for university staff. Her research combines qualitative insights with quantitative validation, developing reliable instruments to assess student wellbeing. Recent work addresses accessibility of counselling services for international students and gender-based competency development in education programs. She has received recognition for innovation in international education and contributes to Epigeum's International Student Success Programme as an expert reviewer.

Lan Wangمشاهده پروفایل

استاد

• Internet Architecture
• Network Security
• Wireless Sensor Networks
• +۷ مورد دیگر

Lan Wang is a Professor in the Department of Computer Science at the University of Memphis, temporarily assigned as a Program Director at the NSF. She holds a PhD in Computer Science from UCLA (2004). Her research focuses on Internet architecture, network security, and wireless sensor networks, with major grants from NSF, NIST, and DoD, including a $15M NSF-funded 'Named Data Networking' project. She has served as Department Chair (2016-2023) and is an IEEE Senior Member. Dr. Wang's research emphasizes scalable, reliable, and secure Internet infrastructure. She has pioneered advancements in named-data networking (NDN), including protocols for adaptive forwarding, secure access control, and efficient traffic management. Her work extends to applications in smart cities, public safety, and healthcare data sharing. She has received prestigious awards including the Willard R. Sparks Eminent Faculty Award (2022) and Dunavant Professorship (2021). Her teaching spans courses like Networking and Information Assurance, Advanced Computer Networks, and Wireless and Mobile Computing. She actively promotes gender diversity in CS, co-organizing events like the 'Networking Networking Women' panel at SIGCOMM. Her grants total over $15M, including NSF’s NDN project and university-funded initiatives. She advises the Women in Computing student chapter and has served on over 50 conference committees.

Leonard Newmanمشاهده پروفایل

استاد

• Social Psychology
• Genocide Studies
• Intergroup Violence
• +۵ مورد دیگر

Leonard Newman is a Professor and Associate Chair in the Department of Psychology at Syracuse University’s College of Arts and Sciences. He also serves as Director of Undergraduate Studies and Director of the Ph.D. Program in Social Psychology. His research focuses on social cognition, particularly dehumanization, genocide, and self-protective processes. Newman holds a Ph.D. in Psychology from New York University (1990) with specialization in Quantitative Psychology. He has authored/co-authored over 75 publications, including influential books like Confronting Humanity at its Worst and Understanding Genocide . His work spans topics such as implicit attitudes toward law enforcement, gender stereotypes, and psychological mechanisms behind intergroup violence. Teaching responsibilities include courses like Experimental Social Psychology and Why Good People Do Terrible Things . Newman’s service includes editorial roles at Personality and Individual Differences , Basic and Applied Social Psychology , and leadership roles in departmental governance. He frequently presents at conferences including the Society for Personality and Social Psychology.