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Jeffrey A CullyView profile

Professor

• Implementation Science
• Mental Health Services Research
• Veterans Health
• +5 more

Jeffrey A Cully, Ph.D., is a tenured Professor in Psychiatry and Behavioral Sciences at Baylor College of Medicine with secondary appointments in Medicine (Health Services Research). He maintains dual appointments as Staff Psychologist/Health Services Researcher at the Houston VA HSR&D Center of Innovation and Associate Director for Improving Clinical Care at the South Central Mental Illness, Research, Education and Clinical Center. Education: Ph.D. in Clinical Psychology, Saint Louis University (2002) Geropsychology Residency, Baylor College of Medicine (2002) Fellowship, Veterans Affairs Medical Center Houston (2003) Cully's research pioneers implementation science methodologies to integrate evidence-based mental health treatments into primary care and specialty medical settings, particularly within the Veterans Health Administration. His work focuses on hybrid effectiveness-implementation designs that simultaneously evaluate clinical outcomes while optimizing real-world adoption of interventions like brief cognitive behavioral therapy for depression, anxiety, and chronic disease comorbidities. Current projects address rural health disparities and cardiopulmonary-mental health integration through VA-funded initiatives. His publication portfolio demonstrates consistent leadership in translating evidence-based practices into operational healthcare systems, with emphasis on veteran populations. Key trends include development of computer-aided training systems, external facilitation strategies, and effectiveness-implementation hybrid trials that bridge research-practice gaps in complex healthcare environments. Scientific Awards: Four Baylor College of Medicine Faculty Excellence Awards (2009-2014) across educational leadership, research, and teaching domains VA HSR&D Career Development Awards (Level 1 & 2, 2003-2009) Cully directs two major VA-funded research programs: Creating Practice-Ready Evidence-Based Psychotherapies ($546,917, 2019-2023) and Effectiveness and Implementation of Brief CBT in VA Clinics ($1.1M, 2015-2020). His grant portfolio reflects sustained focus on generating implementation evidence within Veterans Affairs healthcare systems while mentoring junior researchers through structured career development pathways. His work operates at the nexus of the Houston VA HSR&D Center of Innovation and Baylor's academic infrastructure, leveraging multi-institutional partnerships to advance mental health services research with direct clinical impact.

Yushen ZhangView profile

Researcher

• Microfluidics
• Electronic Design Automation
• 3D Printing
• +5 more

Yushen Zhang is a PostDoctoral researcher at the Technical University of Munich (TUM), working within the Chair of Electronic Design Automation under Professor Ulf Schlichtmann. He earned his Dr.-Ing. degree with summa cum laude distinction in Electrical and Computer Engineering from TUM between 2020-2025, following his Master of Science in Computer Science from the same institution (2017-2020). His research focuses on Microfluidics, Electronic Design Automation, and 3D Printing technologies. Dr. Zhang has developed several innovative platforms including Cloud Columba, an online Microfluidic Large-Scale Integration Chip design automation tool, and has made significant contributions to open-source hardware for microfluidic applications. His work bridges the gap between electronic design automation and microfluidic systems, creating accessible and portable solutions for biochip development. Dr. Zhang's publications demonstrate a clear trend toward making microfluidic technology more accessible through 3D printing, open-source design platforms, and automation tools. His research spans from fundamental microfluidic design principles to practical implementation of low-cost, portable systems with applications in medical diagnostics and biological research. Recent work shows increasing sophistication in multi-layer microfluidic design, reliability testing, and integration with electronic control systems. Special prize COSIMA 2024 3rd prize iCANX Davos Summit 2024 3rd place COSIMA 2023 1st prize iCAN'23 3rd place COSIMA 2022 3rd place TUM Student Video Award 2020 1st place IBM Cloud Award 2019 Hackathon finalist StudySmarter Hackathon at Google Munich 2018 Dr. Zhang actively mentors students, having supervised over 19 theses across Bachelor, Master, and research internship levels. His Cloud Columba project has received significant recognition, including multiple awards in student competitions. He has also secured visiting researcher positions at Santa Clara University, demonstrating international collaboration in his field. Dr. Zhang currently serves as course instructor for the master's course VHDL System Design Laboratory at TUM. His laboratory work focuses on developing integrated microfluidic systems with an emphasis on accessibility and portability. The research group has created several open-source hardware platforms including ColoriSens, a portable color sensor board, and PAMICON, an all-in-one automated microfluidic system. Current work centers on multi-layer 3D-printed microfluidics with precise timing and volumetric control, representing the cutting edge of the field.

Saeid MoslehpourView profile

Associate Professor

• Computer Engineering
• Digital Electronics
• Embedded Systems
• +6 more

Saeid Moslehpour is Chair and Associate Professor in the Department of Electrical and Computer Engineering at the University of Hartford's College of Engineering, Technology, and Architecture. He holds a Ph.D. in Industrial Technology and Computer Engineering (1993) from Iowa State University, along with multiple degrees from the University of Central Missouri including an Ed.Sp in Industrial Technology. Ph.D., Industrial Technology and Computer Engineering - Iowa State University (1993) Ed.Sp, Industrial Technology - University of Central Missouri MS, Electronics - University of Central Missouri BS, Electronics - University of Central Missouri His research focuses on Soft Processors , Electronic Modeling , and Cyber Learning , with expertise in SPICE modeling, FPGA/VHDL/Verilog programming, microprocessor design, telecommunications, and digital signal processing. He has pioneered laboratory developments including wireless, telecommunications, and surface roughness analysis systems. Recent work includes publications on EEG signal analysis , space systems hazard analysis , and embedded electronics . He received academic honors from Phi Kappa Phi and Epsilon Pi societies and maintains certifications in telecommunications and Cisco networking systems. Phi Kappa Phi Academic Honor Society (1993) Epsilon Pi Industrial Technology Honor Society (1993) Excellent Student Scholarship (1992-94) As an ASEE editor and committee chair, he has shaped engineering education policy and assessment. His industry collaborations with Northern Net Technology and Pars Server Tehran demonstrate practical applications of his work.

Megan HuchkoView profile

Associate Professor

• Health policy and systems
• Health care access
• Digital health
• +6 more

Megan Huchko serves as Hollier Family Associate Professor of Global Health at Duke Global Health Institute and Associate Professor of Obstetrics and Gynecology at Duke University. She directs the Medical Scholars Program, Center for Global Reproductive Health, and Ob/Gyn Clinical Research Unit, while also holding the position of Associate Chief for Women's Community and Population Health. Her academic foundation includes: Bachelor's degree from Duke University MD from Albert Einstein College of Medicine Residency at Columbia Presbyterian Medical Center Fellowship in reproductive infectious disease at University of California, San Francisco Dr. Huchko's research centers on cervical cancer prevention in resource-limited settings, with emphasis on HIV-affected populations in sub-Saharan Africa. She develops and evaluates low-cost screening strategies, investigates stigma and implementation barriers, and pioneers HPV-based screening approaches. Her work spans digital health interventions, maternal-child health systems, and health policy reforms across Kenya, Uganda, Peru, Tanzania, and the United States. Recent publications reveal a concentrated focus on innovative cervical cancer prevention solutions in East Africa, particularly through self-screening technologies, stigma reduction frameworks, and AI-enhanced diagnostics. These studies consistently bridge clinical research with practical implementation in rural communities, highlighting context-specific adaptations for vulnerable women. No scientific awards are documented in the provided materials. As Director of the Medical Scholars Program, Dr. Huchko mentors future physicians through global health research initiatives, evidenced by featured student spotlights. Her leadership cultivates interdisciplinary collaborations addressing systemic reproductive health challenges. The Center for Global Reproductive Health, under her direction, partners with institutions across Africa to develop community-driven solutions for contraception access, maternal mortality reduction, and cervical cancer prevention, emphasizing sustainable capacity building and policy advocacy.

• General Hepatology
• Transplant Hepatology
• Medical Education
• +4 more

Indira Bhavsar-Burke, M.D., M.P.H.E., is an Assistant Professor in the Department of Internal Medicine and the Division of Digestive and Liver Diseases at UT Southwestern Medical Center, where she also serves as Associate Program Director for the Internal Medicine Residency and the Gastroenterology Fellowship programs, and Co-Director of IMPACT—the institution’s longitudinal faculty-development program for clinician-educators. Education and Training: M.D., Marshall University, West Virginia Residency in Internal Medicine, University of Virginia Fellowship in Gastroenterology, Indiana University Fellowship in Transplant Hepatology, Cleveland Clinic M.P.H.E. (Master of Health Professions Education), University of Michigan Research and Scholarly Focus: Dr. Bhavsar-Burke’s clinical expertise lies in general and transplant hepatology, while her academic passion centers on transforming graduate medical education. She investigates competency-based curricula, innovative assessment systems, and coaching methodologies designed to enhance both trainee performance and faculty teaching effectiveness. Her work bridges clinical hepatology with educational scholarship, aiming to optimize patient outcomes through better-trained specialists. Publication Trends: Across her recent body of work (2018-2024), Dr. Bhavsar-Burke explores three dominant themes: (1) advanced endoscopic imaging and artificial intelligence for colorectal polyp diagnosis, (2) clinical outcomes and quality improvement in cirrhosis and liver transplantation, and (3) educational innovation—particularly coaching, mentorship, and curricular redesign in gastroenterology fellowship training. These publications appear in leading journals such as Annals of Internal Medicine , Gastroenterology , and Academic Medicine , underscoring her dual impact on clinical practice and medical education. Professional Service and Leadership: She holds board certification in both gastroenterology and transplant hepatology from the American Board of Internal Medicine. Beyond her formal titles, she has been invited to deliver national and regional lectures, contributed to the book Coaching in Medical Education , and continues to shape national conversations on educational policy and workforce development. Clinical and Educational Teams: Dr. Bhavsar-Burke collaborates closely with the Division of Digestive and Liver Diseases clinical teams, the Internal Medicine residency and Gastroenterology fellowship leadership, and the IMPACT faculty-development cohort. She also engages in executive coaching activities outside the university, further expanding her influence on medical education leadership.

Tinne GilsView profile

Researcher

• HIV/AIDS
• Tuberculosis
• Public Health
• +5 more

Dr. Tinne Gils is a researcher at the Unit of HIV & TB within the University of Antwerp's Institute of Tropical Medicine (ITM). Her work focuses on advanced HIV disease, drug-resistant tuberculosis, and academic writing, with extensive field experience in Southern Africa and Ukraine. Education: PhD candidate (started 2022), Master of Public Health (epidemiology and biostatistics, University of Cape Town, 2019), Master in International Humanitarian Action (Aix-Marseille Université, 2012), Postgraduate in Tropical Biomedical Sciences (ITM, 2010), Master in Pharmaceutical Sciences (KU Leuven, 2008) Research Interests: Advanced HIV disease in high-burden settings Drug-resistant tuberculosis interventions Community-based TB screening strategies Access to medicines in humanitarian crises Health systems strengthening Academic writing and dissemination Research Output Trends: Dr. Gils has published extensively in 2025 on TB screening algorithms, HIV/TB co-morbidity, and diagnostic innovations, primarily in journals like BMJ Open , BMC Public Health , and Lancet Global Health . Her work emphasizes quantitative and qualitative analyses in Southern Africa, Mozambique, and Ukraine. Projects: Current work includes a PhD-project on lipoarabinomannan and implementation research of advanced HIV care packages in high HIV/TB burden settings (2023-2025).

• Serious games
• Patient rehabilitation
• Gesture recognition
• +5 more

Bart Jansen is a Researcher at the Department of Electronics and Informatics within the College of Engineering at Vrije Universiteit Brussel (Belgium). With over 241 research outputs and an h-index of 24, his work spans computer science, biomedical engineering, and clinical applications. Research Interests: AI and virtual twin technology for stroke rehabilitation 3D imaging and augmented reality in medical contexts Gesture recognition and electromyography (EMG) systems Serious games for elderly healthcare Frailty and calcinosis detection Scientific Achievements: Recipient of two international app development awards (2019) Supervised 11 theses including PhD-level work Active in 45 projects (2003-2029) Professional Engagement: Regular participant in conferences like ESMAC, 3DBODY.TECH, and AIxVR, with additional roles as symposium organizer at Care4: International Scientific Nursing Conference (2024).

• Electrical and Computer Engineering
• Deep Learning
• Image Processing
• +5 more

Fatema Albalooshi is an Assistant Professor in the Computer Engineering department at the University of Bahrain since 2015. She holds a Ph.D. in Electrical and Computer Engineering from the University of Dayton (2015) and an MSc in Electrical Engineering from the University of Nottingham (2009). Education: PhD, Electrical and Computer Engineering, University of Dayton (2015) MSc, Electrical Engineering, University of Nottingham (2009) BSc, Electrical Engineering, University of Nottingham (2009) Research Interests: Deep Learning Image Processing Computer Vision Biometrics Machine Olfaction Environmental Remote Sensing Peer Review Contributions: Applied Intelligence (5 reviews) Signal, Image and Video Processing (16 reviews) Electronics (1 review) Computers in Biology and Medicine (1 review) Email: falbalooshi@uob.edu.bh

Farhad NooralahzadehView profile

Researcher

• Natural Language Processing
• Multimodal Multilingual Learning
• Medical Informatics
• +3 more

Farhad Nooralahzadeh is a Senior Researcher affiliated with the University of Zurich (UZH) and Zurich University of Applied Sciences (ZHAW) , working within the Faculty of Science at UZH. His research focuses on computational language understanding, cross-lingual/cross-modality transfer learning, and medical applications of NLP. Ph.D. in Language Technology (2020) from University of Oslo MSc in Data Mining and Knowledge Management (2013) from Erasmus Mundus program at University of Lyon II His recent work explores NLP in medical domains , including integrating multimodal data from databases, texts, graphs, and imaging for EHR/radiology analysis. Publications highlight advancements in medical AI , transformer-based models , and progressive generation frameworks . Professional experience includes research at Inria Sophia-Antipolis (WIMMICS team) and Naver Labs Europe (formerly Xerox Research), with technical contributions to ontology-based relation extraction and openNLP implementations available on GitHub.

• Obstructive Lung Diseases
• Medical Imaging
• Cardiopulmonary Physiology
• +3 more

Benjamin Smith is an Associate Professor in the Department of Medicine at McGill University and a Scientist at the RI-MUHC (Research Institute of the McGill University Health Centre). He leads the Translational Research in Respiratory Diseases Program and is affiliated with the Centre for Outcomes Research and Evaluation . Education : MD, M.Sc., FRCPC (Fellow of the Royal College of Physicians of Canada). Research Focus : Smith’s work addresses dysanapsis (disproportionate airway-lung development), obstructive lung diseases (COPD, asthma), and cardiopulmonary physiology . He integrates population-based epidemiology , advanced imaging , and physiological modeling to uncover disease mechanisms and personalize interventions. Publication Trends : Recent studies emphasize CT-based quantitative imaging for COPD subtyping, AI algorithms for disease detection, multi-ethnic cohort analyses , and environmental influences on lung health. Key themes include dysanapsis , emphysema heterogeneity , and diaphragm remodeling in chronic lung conditions. Scientific Collaborations : Collaborates with international teams on SPIROMICS and MESA Lung studies, focusing on early COPD progression, airway imaging, and cardiopulmonary interactions. Regularly publishes in journals like JAMA , Thorax , and Am J Respir Crit Care Med . Contributions : His research bridges clinical imaging with physiological outcomes , advancing understanding of airflow obstruction and informing diagnostic protocols. He also contributes to medical education and lung cancer staging improvements.

• Oral Medicine
• Oral Pathology
• Medication-Related Osteonecrosis of the Jaw (MRONJ)
• +5 more

Giuseppina Campisi is a Full Professor in the Department of Biomedicine, Neuroscience and Advanced Diagnostics at the University of Palermo's School of Medicine and Surgery. She serves as manager of the UOSD 35.02 Oral Medicine unit at the Giacccone Polyclinic and maintains active clinical and research responsibilities in oral medicine. Her office is located on the second floor of the university hospital where she holds weekly office hours on Tuesdays from 6:15pm to 8:00pm. Professor Campisi's research primarily focuses on medication-related osteonecrosis of the jaw (MRONJ), with particular emphasis on differential diagnosis between MRONJ and oral squamous cell carcinoma in patients taking bone-modifying agents. Her work spans multiple domains including oral cancer diagnosis using advanced imaging techniques like Optical Coherence Tomography, HPV-related oral lesions, and dental pharmacovigilance. She has pioneered research on mucoadhesive drug delivery systems for chronic inflammatory oral mucosal diseases and has extensively studied the psychological impact of oral potentially malignant disorders on patients. Her publication record demonstrates a strong trend toward integrating artificial intelligence with traditional diagnostic methods for oral cancer screening, as evidenced by multiple 2025 publications on deep learning applications. She also maintains significant focus on clinical guidelines development, having contributed to Italian position papers on MRONJ management and prevention. Her research bridges basic science, clinical practice, and public health initiatives, particularly through projects like the HOPE Project examining HPV prevalence in pediatric populations. Professor Campisi actively participates in national and international scientific societies, particularly the Italian Society of Oral Pathology and Medicine (SIPMO), where she contributes to consensus development on clinical appropriateness in oral medicine. She has led initiatives on teledentistry for MRONJ prevention and developed educational tools like the DoctOral smartphone app for dental students. Her work demonstrates consistent collaboration across medical specialties, particularly with oncology and pharmacology departments, reflecting the interdisciplinary nature of modern oral medicine.

• Tinnitus
• Pulsatile Tinnitus
• Sound Measurement
• +5 more

Sander Ubbink is a researcher at the Faculty of Medical Sciences at the University Medical Center Groningen (UMCG), part of the University of Groningen. He is affiliated with both the Cognition, Ageing and Disease (CAD) and Perceptual and Cognitive Neuroscience (PCN) research groups. Dr. Ubbink's research primarily focuses on tinnitus, particularly pulsatile tinnitus, where he has developed expertise in sound measurement techniques within the ear canal. His work bridges audiology, neuroscience, and clinical diagnostics, with significant contributions to understanding the relationship between sound measurements and underlying vascular conditions like dural arteriovenous fistulas. He has also explored connections between hearing impairment and cognitive function in older adults. His research output shows a consistent focus on developing objective measurement techniques for what has traditionally been a subjective symptom. The trend in his publications demonstrates progression from basic sound measurement techniques to more sophisticated automated detection algorithms and larger clinical reviews. Dr. Ubbink actively contributes to academic discourse through media engagements, with recent contributions discussing tinnitus diagnosis improvement through ear canal sound recordings (2025), quality concerns in hearing care (2022), and the relationship between hearing and dementia (2021). He participates in academic events such as the Groningse Tinnituscursus where he shares expertise with colleagues. His research has garnered citations in Scopus and reader engagement on platforms like Mendeley, indicating recognition within the medical and neuroscience communities.

Federica MarcolinView profile

Associate Professor

• 3D face analysis
• Emotional design
• Facial expression recognition
• +7 more

Federica Marcolin is an Associate Professor in the Department of Management and Production Engineering (DIGEP) at the Polytechnic University of Turin. She serves as a member of both the College of Architecture and Design and the College of Biomedical Engineering, teaching courses across multiple engineering disciplines with a focus on 3D technologies and applications. Her educational background includes a Master's degree in Mathematics in Engineering (2010) and a PhD in Production Systems & Industrial Design (January 2015), with dissertation work on differential geometry applied to 3D face analysis. She conducted research at the i·Bug group of Imperial College London in 2014 on similar topics. Dr. Marcolin's research spans the intersection of computer vision, human-computer interaction, and medical applications, with particular emphasis on 3D face analysis, emotional design, and facial expression recognition. Her work bridges industrial design methodologies with advanced computing techniques to solve problems in healthcare, security, and human-machine interfaces. Her recent publications demonstrate a strong trend toward applying machine learning and 3D technologies to medical applications, particularly in facial surgery prediction, stress assessment using VR environments, and emotion recognition systems. These works span disciplines including biomedical engineering, computer vision, and human factors engineering. Methodology for predicting facial soft tissue displacement following maxillofacial surgery Methodology for real-time facial expression recognition Classification system for ovarian tumor characteristics based on 2D ultrasound image processing Automatic disease diagnosis system based on 3D model extraction from 2D medical images Dr. Marcolin supervises PhD students in the Management, Production and Design program and leads several research projects including DAS - Design for Augmented Surgery (2024-2026) and an agreement with the University of Turin's Department of Psychology (2024-2029). She has previously directed projects such as Practical application of 3D technology in medicine (2021) and FARMER 4.0 training laboratories (2018-2020). Her laboratory work focuses on the 3D LAB research group which specializes in human-computer interaction applications, visualization, and management of 3D data, with applications spanning medical diagnostics, surgery planning, security systems, and emotional design.

Paul Andrew BirdView profile

Professor

• Rheumatology
• Therapy for arthritis
• Imaging in Rheumatic Diseases
• +5 more

Professor Paul Andrew Bird is a Conjoint Professor at the St George & Sutherland Clinical School, University of New South Wales, and a practicing Rheumatologist in private practice. He serves as Medical Director of Optimus Clinical Research, a clinical research center conducting Phase 2, 3, and 4 trials of novel agents for rheumatic diseases. Professor Bird is actively involved in undergraduate medical education at UNSW as a lecturer and examiner, and serves as co-supervisor for national and international PhD candidates. Professor Bird's academic credentials include: Bachelor of Medicine (Honors) PhD from University of New South Wales examining MRI as an outcome measure in rheumatoid arthritis Graduate Diploma in Magnetic Resonance Imaging from RMIT University Fellow of the Royal Australasian College of Physicians (FRACP) Professor Bird's research program centers on advanced imaging applications in rheumatic diseases, with particular expertise in MRI as an outcome measure for inflammatory arthritis. His work spans rheumatoid arthritis, psoriatic arthritis, and spondyloarthropathy, focusing on developing reliable imaging biomarkers and standardized assessment protocols. As a core member of the OMERACT international MRI imaging working group, where he serves as Co-Chair, Professor Bird has been instrumental in developing internationally recognized scoring systems for MRI assessment in arthritis. His research increasingly integrates artificial intelligence to automate measurement of disease activity and damage progression, and he is pioneering the development of physician Avatars to enhance patient education and healthcare delivery in rheumatology. Analysis of Professor Bird's publication record reveals a clear trajectory from foundational MRI validation studies toward increasingly sophisticated applications of imaging technology and computational methods in rheumatology. His more recent work demonstrates a strategic shift toward practical clinical implementations, including AI-driven image analysis and digital health solutions that address real-world patient care challenges. The publications consistently emphasize standardization of imaging protocols and measurement techniques to improve reliability across research and clinical settings. Professor Bird has secured significant research funding from diverse sources: Arthritis Australia ($14,000) for Diffusion Weighted Imaging in early rheumatoid arthritis Pfizer ($100,000) for the OPAL real-world database $120,000 for studying skin cancer patterns in rheumatology patients on biologic therapies Gilead funding for Physician Avatar development as medical care delivery agents Professor Bird maintains active leadership roles in major international rheumatology organizations including GRAPPA (Group for Research and Assessment of Psoriasis and Psoriatic Arthritis) and ASAS (Assessment of SpondyloArthritis international Society). He previously chaired the Professional Affairs Committee of the Australian Rheumatology Association (2003-2007) and directed physician training at St George Hospital (2002-2005). As a regular reviewer for leading rheumatology journals including Arthritis and Rheumatology and Annals of the Rheumatic Diseases, he contributes significantly to scholarly discourse in the field. Professor Bird leads multiple collaborative research initiatives including the OMERACT MRI in arthritis working group, where he coordinates international efforts to standardize MRI assessment in inflammatory arthritis. His current projects focus on developing AI-powered tools for automated MRI analysis and creating personalized physician Avatars using blockchain technology for secure patient data management. These initiatives represent an integrated approach connecting advanced imaging research with practical clinical applications to improve patient outcomes in rheumatology care.

Behnaz SohaniView profile

Lecturer

• Robotics
• Biomedical Engineering
• Medical Imaging
• +6 more

Dr Behnaz Sohani is a Lecturer in Robotics and Automation at Loughborough University (since July 2024), and previously held a Lecturer position in Robotics and Biomedical Engineering at the University of Lincoln (2021–2024). She is a Fellow of the Higher Education Academy (FHEA) and a Chartered Engineer (CEng), with memberships in IEEE and IET. Her research focuses on robotics, biomedical engineering, automation, and control systems, with applications in medical imaging, soft robotics, and sustainable energy systems. She actively contributes to interdisciplinary projects through affiliations with the Intelligent Automation Centre at Loughborough and previously the Lincoln Centre for Autonomous Systems Research (L-CAS) and Lincoln Institute for Agri-Food Technology (LIAT). Education: PhD in Robotics and Biomedical Engineering, London South Bank University (2020) MEng in Robotics and Biomedical Engineering, University of Tehran Postdoctoral Fellowships at London South Bank University and University of Lincoln Research Interests: Development of advanced robotics systems for medical and industrial applications Machine learning-driven solutions for medical imaging and diagnostics Control systems for autonomous vehicles and exoskeleton robots Sustainable energy storage materials and technologies Soft robotics and flexible sensor design Professional Roles: Primary supervisor for over 2 PhD students, 2 MRes students, 50+ undergraduate projects, and 15+ MSc students External Examiner at Ulster University and Internal Examiner for several PhD candidates at the University of Lincoln Regular speaker at international conferences and workshops Awards: Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Labs & Collaborations: Core member of the Intelligent Automation Centre at Loughborough University, previously involved in collaborative projects with L-CAS and LIAT focusing on autonomous systems and agri-food technology innovations.