جستجوی استاد راهنمای دانشگاهی

Professor Jon Bannister is a leading academic in criminology and urban studies at Manchester Metropolitan University (MMU), where he holds the rank of Professor. He directs the Man Met Crime and Well-Being Big Data Centre and the Scottish Centre for Crime and Justice Research (SCCJR), funded by £3.75m in grants. As Editor-in-Chief of the Urban Studies journal, he promotes rigorous social science research. His roles include Director of the Man Met Crime and Policing Network and Board Member of the Urban Studies Foundation and Q-Step. He holds a BSc in Economics from the London School of Economics. His research focuses on urban disorder, applying data science and quantitative methods to analyze crime trends, antisocial behavior, and youth gangs. He also explores knowledge mobilization and civic development of social science. Notable contributions include evaluating Scotland’s Violence Reduction Unit and advising governments on policing and antisocial behavior policies. Professor Bannister has been honored as a Fellow of the Academy of Social Sciences (FAcSS). His work bridges academic research with policy impact, including collaborations with the Scottish Parliament, Dutch Ministry of Justice, and Qatari Ministry of the Interior. He teaches quantitative methods for crime analysis and supervises students in criminology, emphasizing career-ready skills in data analysis. His research centers on urban crime patterns, mental health demand analysis, and policing strategies. He leads projects like the £1m Big Data Centre, which applies advanced analytics to improve public service efficiency and crime prevention. His interdisciplinary approach integrates criminology, health, and data science to address societal challenges.

• Urban Disorder
• Criminology
• Data Science
• +۴ مورد دیگر

Mark Ellison is an Associate Head of Department for Sociology at Manchester Metropolitan University and a Research Fellow in the Policy Evaluation & Research Unit (PERU). His work spans Environmental Criminology , Data Management , and Evaluation , focusing on police demand analysis, big data applications, and geospatial crime patterns. Key research areas include: Environmental Criminology Big Data Analytics Geographical Information Systems (GIS) Quantitative Methods Crime-Economy Nexus Data Visualization His projects involve collaborations with police forces (Greater Manchester, West Midlands, Police Scotland), violence reduction units, and local authorities. Current initiatives include a £1.080 million evaluation for the Greater Manchester Violence Reduction Unit and a £100k RCT on Hotspot Policing. Past roles include £50k-£28k funded studies on knife crime, alcohol policy, and offender education. Contact: m.ellison@mmu.ac.uk | Office: GM417 Geoffrey Manton Building, Manchester | Office Hours: Fridays 10-12 (by appointment via email).

• Environmental Criminology
• Data Management
• Evaluation
• +۵ مورد دیگر

Dr. Nikhil Sengupta serves as a Senior Lecturer in Psychology at the University of Kent's School of Psychology, where he directs the Psychology and Public Policy Research Unit (PSYPOL) and acts as Equality representative for students. His research investigates societal attitudes, their development over time, and their influence on social and political behavior, with a focus on citizens' perceptions of their circumstances, leaders, institutions, and government across diverse populations. Sengupta's work centers on social and political psychology, examining intergroup relations, attitude formation, and behavioral consequences through large-scale longitudinal methodologies. His research spans multiple countries including the UK, New Zealand (via the New Zealand Attitudes and Values Study tracking 20,000 participants), India (150,000-person survey), and Lebanon, with particular emphasis on inequality, discrimination, national identity, and the psychological mechanisms underlying political behavior. Recent projects explore nationalism's compensatory functions, gender-based violence tolerance, and cross-cultural emotional responses during the pandemic. Analysis of his publication record reveals consistent methodological rigor in longitudinal design and cross-national comparison, with growing emphasis on the interplay between social dominance, system justification, and collective violence. His work increasingly integrates pandemic-era contexts and geopolitical conflicts while maintaining focus on structural inequality and identity processes. Dr. Sengupta's research has been recognized with prestigious awards including: ERC Starting Grant (2021, €2.48M) Marie Skłodowska-Curie Individual Fellowship (2016, €183k) Margaret Foddy Travel Award (2014) Faculty of Science Masters Scholarship (2010) School of Psychology Summer Studentship (2009) As a supervisor, Sengupta currently mentors PhD candidate Ramzi Abou-Ismail and leads the ERC-funded five-year UK-wide longitudinal study on social-political attitudes. His funding success demonstrates exceptional ability to secure competitive research support for large-scale projects examining societal dynamics. The Psychology and Public Policy Research Unit (PSYPOL) he directs facilitates interdisciplinary collaboration between psychological science and policy development, while his NZAVS involvement contributes to one of the world's most comprehensive longitudinal social attitude studies.

• Social Psychology
• Political Psychology
• Intergroup Relations
• +۳ مورد دیگر

Professor Paul Scott is a faculty member at the University of Huddersfield, holding the Taylor Hobson Chair in Computational Geometry within the School of Computing and Engineering. He leads the Centre for Precision Technologies as Research Director and specializes in surface texture and form metrology, precision engineering, and AI-driven manufacturing solutions. His research integrates mathematical principles with advanced instrumentation, focusing on algorithm development for surface characterization and international standardization (ISO TC/213). Scott earned a PhD in Statistics from Imperial College London and a DSc from the University of Huddersfield. His career includes 26 years at Taylor Hobson Ltd, developing metrology instruments. He has pioneered de facto standard algorithms for surface analysis and contributed to 23 ISO standards. Current research spans computational geometry, AI semantic labeling, and machine-readable standards via Category Semantic Language (CSL). His work addresses Industrie 4.0 challenges, including smart algorithms for feature recognition and digital twins modeling. Collaborations span global institutions, with projects funded by EPSRC (e.g., Future Advanced Metrology Hub). Key areas include XCT-based surface measurement, additive manufacturing metrology, and precision instrumentation. Notable contributions include decomposition theory for geometrical products, filtration techniques in surface analysis, and bridging metrology with Industry 4.0 through data-driven approaches. His h-index of 33 reflects over 3,600 citations across 193+ publications.

• Computational Geometry
• Surface Texture and Form Measurement
• Precision Engineering
• +۷ مورد دیگر

Blerina Kellezi is an Associate Professor in the School of Social Sciences at Nottingham Trent University, specifically within the Department of Psychology. She holds roles as Module Leader for Social Psychology at the undergraduate level and contributes to research methods and statistics modules. She also lectures on the MSc Psychological Wellbeing and Mental Health course, supervising undergraduate and postgraduate research. Dr. Kellezi’s academic journey includes a PhD in Psychology from the University of St Andrews, followed by postdoctoral research at institutions such as Freedom from Torture, the University of Oxford, and the University of Nottingham. Her career includes a Teaching Fellowship at the University of Nottingham and a Lectureship in Psychology at the University of Staffordshire before joining NTU in 2015. Her research focuses on the psychological and social impacts of extreme life events—including war, torture, detention, and major trauma—on individuals and communities. Key areas include how social identities influence coping mechanisms, the psychosocial effects of injuries, and the quality of life in UK Immigration Removal Centres. Current projects explore transitional justice processes and their effects on mental health and intergroup conflict risk. Collaborations span institutions such as the University of Oxford, University of St Andrews, and international bodies like the International Centre for Health and Human Rights. Her work emphasizes community resilience, social prescribing, and the role of identity in recovery. She has led large-scale studies on injury recovery trajectories and contributed to policy-relevant research on asylum seeker well-being and legal services.

• Social Psychology
• Trauma Studies
• Human Rights
• +۵ مورد دیگر

Dr. Paul Booth is a Senior Lecturer in Linguistics and Languages at Kingston University's School of Humanities. With a PhD in second language vocabulary and learning styles, he has conducted extensive research on L2 lexical development, cross-linguistic processing, and online language pedagogy through collaborations at institutions including Lyon 2 University, Grand Valley State University, and Nancy University. PhD in Linguistics (Kingston University, 2010) Senior Fellow, Higher Education Academy (2015) MA in TESOL (University of London, 1998) His research focuses on second language acquisition , particularly vocabulary development in relation to memory and analytical learning styles , cross-linguistic influences , and online language teaching methodologies . Using experimental approaches like reaction time analysis and lexical diversity metrics, Booth examines how grammatical sensitivity and language proximity affect L2 proficiency. Recent publications highlight trends in multilingual lexicon dynamics , pedagogical technology integration , and cross-cultural teacher training models . Booth's 2020 edited volume on First Language Influences consolidates global research on L2 lexical systems. He has developed international collaborative projects funded by Erasmus , focusing on educational technology for language teachers and curriculum design across the UK, China, and USA. His work appears in journals like Language Teaching and System , alongside conference presentations at BAAL and EuroSLA.

• Second Language Acquisition
• Applied Linguistics
• Vocabulary Proficiency
• +۳ مورد دیگر

Dr. Mansour Youseffi is a Senior Lecturer (Reader) in Biomaterials at the University of Bradford's School of Engineering, part of the Faculty of Engineering and Digital Technologies. He leads modules in Materials Science and Engineering, Rehabilitation and Prosthetics, and other biomedical-focused courses. His research spans biomaterials, biotribology, cell and tissue engineering, and medical device development, with a focus on applications in orthopedics, cancer treatment, and regenerative medicine. Since 1992, he has secured over £740k in research funds, supervised 25 PhD graduates, and authored 25 books, 5 patents, and 250+ publications. His work includes advancements in engineered biomaterials for cancer immunotherapy, medical imaging techniques, and smart prosthetics. He currently advises 3 PhD students and collaborates with interdisciplinary teams in Advanced Materials Engineering and Medical Engineering research groups. Key research topics include biocompatible materials for implants, AI-driven medical imaging analysis, and biomaterials for tissue engineering. His contributions address global health challenges, including cancer diagnostics and disparities in healthcare access across regions like the UK and Saudi Arabia.

• Biomaterials
• Biotribology
• Cell and Tissue Engineering
• +۴ مورد دیگر

Dr. Frank Hills is an Associate Professor in Cell Biology and Director of Program (DoP) for Natural Science at Middlesex University's Faculty of Science and Technology. He holds a PhD from Queen Mary University of London and has over 15 years of academic and research experience, including postdoctoral work at Imperial College London. His research focuses on placental pathology, biomarkers for exercise recovery, and cancer biology, with over 40 peer-reviewed publications. He teaches clinical biochemistry, cellular biology, and statistical analysis, and advises multiple PhD students. Education PhD in Medicine (2002), Queen Mary University of London BSc (Hons) Biochemistry, University of London Research Interests Role of growth factors and glycosaminoglycans in placental disorders (e.g., pre-eclampsia) Biomarkers for exercise performance and recovery Chemoresistance mechanisms in cancers (osteosarcoma, ovarian cancer) Therapeutic potential of human chorionic gonadotropin (hCG) Article Trends His recent work explores recovery modalities in exercise (e.g., cryotherapy), chemotherapy efficacy in osteosarcoma, and glycobiological markers in pre-eclampsia. Key themes include translational medicine bridging basic science and clinical applications. Advising & Grants Supervising 5 current PhD students Focus on placental pathology and cancer biomarkers Labs/Teams Affiliated with Middlesex University's Natural Sciences Department labs, collaborating on glycobiology and exercise physiology projects.

• Cell Biology
• Reproductive Science
• Obstetric Pathology
• +۴ مورد دیگر

Dr. Subramaniam Arunachalam is a Senior Lecturer at the University of East London's Architecture, Computing & Engineering institute. His research focuses on mechanical systems optimization, vibration analysis in automotive environments, and manufacturing process improvement. Key areas include finite element modelling of car seats and occupant dynamics, lean manufacturing frameworks, and cloud-based ERP solutions for SMEs. He has contributed to over 30 peer-reviewed publications since 2000. Research interests span automotive safety engineering, biomechanical modeling of human-vehicle interactions, and advanced manufacturing technologies. His work combines computational modeling with experimental validation, addressing challenges like vibration mitigation in automotive seating systems and optimizing machining parameters using Taguchi methods. He has also explored cloud computing applications in manufacturing supply chains. Notable contributions include developing novel simulation techniques for human-vehicle vibration analysis and integrating lean principles with ERP systems in Arab manufacturing firms. Over 5,500 downloads of his research outputs highlight the practical relevance of his work to industry and academia.

• Mechanical Engineering
• Vibration Analysis
• Finite Element Modelling
• +۵ مورد دیگر

Robert van der Veen is Research Fellow at Oxford Brookes Business School, specializing in tourism marketing and hospitality management. His research examines destination branding, tourist behavior, and service quality using advanced statistical modeling approaches. Current projects investigate sensory experiences in place attachment, employability impacts of international education, and occupational stress in hospitality sectors. Research employs structural equation modeling to analyze complex relationships in tourism systems. Publications focus on destination image formation, cross-cultural tourism patterns, and service quality metrics. Recent work emphasizes collaborative learning and generational differences in travel behavior. Supervises PhD students in tourism marketing and consumer behavior. Secured multiple research grants for tourism studies including from the Royal Hobart Hospital Research Foundation and UniSA.

• Tourism Marketing
• Hospitality Management
• Destination Image
• +۴ مورد دیگر

Dr. Chris Antonopoulos is a Lecturer in Applied Mathematics at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS) and the Department of Mathematical Sciences. His research focuses on dynamical systems, chaotic systems, computational neuroscience, and complex networks, with particular emphasis on neural synchronization, network inference, and mathematical tools for analyzing brain dynamics. He holds a PhD from the University of Patras (2007), specialized in Hamiltonian systems and statistical mechanics. Key research areas include: Computational neuroscience: Development of mathematical tools to study neural synchrony, brain plasticity, and disorders like epilepsy. Network inference: Using mutual information and statistical tests to infer connectivity in systems like brain networks and financial markets. Nonlinear dynamics: Analysis of chaos, energy localization in Hamiltonian systems, and q-statistics in non-extensive systems. Applications: Modeling pandemic spread (e.g., SIR models for COVID-19), time-series forecasting, and machine learning integration. Professional affiliations include the Institute of Mathematics and its Applications (MIMA), London Mathematical Society (LMS), and status as a Fellow of the Higher Education Academy (FHEA). His work combines analytical and numerical methods, including Lyapunov exponents, bifurcation analysis, and SALI/GALI chaos indicators. Collaborations span interdisciplinary fields, from neuroscience to statistical physics.

• Dynamical Systems
• Chaotic Systems
• Computational Neuroscience
• +۷ مورد دیگر

Dr. Lan Truong is a Lecturer (Assistant Professor) at the School of Mathematics, Statistics and Actuarial Science (SMSAS), University of Essex since September 2023. Previously, he held roles including Research Associate at the University of Cambridge (2020–2023), Research Fellow at National University of Singapore (NUS) (2018–2019), and Lecturer at FPT University, Hanoi (2013–2015). He earned a PhD in Information Theory from NUS in 2018 and has industry experience as an Operation and Maintenance Engineer with MobiFone Telecommunications Corporation. His research focuses on deep learning theory, high-dimensional statistics, probability, and information theory. Notable contributions include work on multi-armed bandits, neural network generalization, and coding theory. He is a Senior Member of the IEEE. Key publications span topics like concentration properties of random codes, replica analysis in signal processing, and generalization bounds in deep learning. His work bridges theoretical foundations with practical applications in machine learning and telecommunications. Dr. Truong’s academic journey reflects a strong emphasis on advancing theoretical methodologies while addressing real-world challenges in information and communication technologies.

• Deep Learning Theory
• High-Dimensional Statistics
• Probability
• +۱ مورد دیگر

Igor Yurkevich is Associate Professor of Applied Mathematics & Data Science at Aston University's School of Computer Science and Digital Technologies. His research explores quantum field theory, strongly correlated low-dimensional fermions, quantum nonlinear optics, mesoscopic physics, and non-equilibrium dynamics in condensed matter systems. He holds a PhD in Theoretical Physics (1988) and has held research positions at University of Birmingham, ICTP Trieste, Bar Ilan University, and Kharkov institutes. Recent work investigates Coulomb blockade phenomena, superconducting systems, and quantum transport in nanostructures.

• Quantum Field Theory
• Strongly Correlated Fermions
• Quantum Nonlinear Optics
• +۳ مورد دیگر

Dr. Haider Al-Khateeb is a Senior Lecturer in Cyber Security at Aston University's Cyber Security Innovation (CSI) Research Centre and Aston Business School, part of the College of Business and Social Sciences. He holds a PhD in Cyber Security from the University of Bedfordshire (2011), a First-Class BSc (Hons) in Computer Science (2005), and a PG Cert in Academic Practice (2014). His research focuses on innovative AI-driven cyber security solutions, trustworthy systems, adversarial behaviors, and privacy rights for vulnerable groups. He has extensive experience in multidisciplinary projects, including collaborations with psychologists, law enforcement, and healthcare professionals to address cybercrime impacts. His teaching roles include module leadership for Aston's MBA Cyber Security Risk and Strategy, undergraduate Information Security courses, and MSc Cyber Security Management program development. He delivers industry-accredited training in cyber security risk management and serves as an external examiner at the University of the West of England. Dr. Al-Khateeb’s work emphasizes real-world applications, such as anomaly detection in industrial control systems, ransomware mitigation using machine learning, and digital forensics for cyber-disability hate crimes. His research has led to over 60 peer-reviewed publications, funded projects with SMEs, and awards for best papers and teaching excellence. Key collaborations include the NCSC’s CyberFirst initiative and industry partnerships for smart city security and supply chain resilience. He actively supervises PhD students exploring technical and operational cyber security challenges, with a focus on IoT, CPS, and ethical hacking methodologies. His work bridges academia and industry, addressing emerging threats through cutting-edge technical solutions and policy-driven frameworks.

• Cyber Security
• AI-Based Solutions
• Privacy & Online Rights
• +۷ مورد دیگر

Andrew Cooper is a Reader (equivalent to Associate Professor) in the Department of Psychology at Goldsmiths, University of London, where he conducts research on the relationship between personality traits, emotional states, and behavioral outcomes. His academic profile demonstrates a sustained contribution to psychological science since the early 2000s with over 70 publications. His research focuses on: Personality and emotion states Emotion regulation Psychometrics and scale development Decision-making processes Addictive behaviors and substance use Dr. Cooper's work particularly examines how individual differences in extraversion relate to positive affective states and approach to rewarding stimuli, with neural underpinnings in dopaminergic processes. His research also investigates impulsivity-related personality traits in decision-making and risk-taking, especially regarding substance use and gambling. A significant portion of his scholarship involves psychometric instrument development, applying advanced statistical techniques like Item Response Theory. His recent publications (2023-2025) show an expansion into loneliness measurement, reinforcement sensitivity theory across cultures, and e-cigarette use behaviors. This represents both continuity with his core interests in personality assessment and novel applications to contemporary public health concerns. Dr. Cooper actively supervises undergraduate and postgraduate research projects in areas including extraversion, positive emotion states, personality effects on decision-making, neural reward processing, and adolescent substance use risk factors. His collaborative network spans multiple international institutions, reflecting the global recognition of his methodological expertise in personality assessment.

• Personality Psychology
• Emotion Regulation
• Psychometrics
• +۵ مورد دیگر