Find Academic Supervisors

• Multiple Sclerosis
• Neurology
• Neuropathic Pain
• +7 more

Henrik Boye Jensen is a Clinical Associate Professor at the Department of Regional Health Research, IRS - Sygehus Lillebælt, Forskningsenhed for Neurologi (Kolding), affiliated with the University of Southern Denmark. His work bridges clinical neurology and research, with a strong focus on multiple sclerosis, stroke, and neurorehabilitation. Institution: University of Southern Denmark Department: Department of Regional Health Research Research Unit: Research Unit for Neurology, Kolding Academic Rank: Clinical Associate Professor His research interests center on multiple sclerosis , particularly disease progression, pharmacological treatments, and the role of exercise in neuroprotection. He also investigates stroke rehabilitation and diagnostic challenges in neurological conditions such as Lyme neuroborreliosis. His work frequently employs advanced methodologies including randomized controlled trials , cohort studies , and neuroimaging (MRI) . The 15 most recent articles reflect a strong trend in clinical neuroscience , with emphasis on MS phenotypes , pharmacological interventions , exercise as therapy , and diagnostic accuracy . His publications span high-impact journals in neurology and rehabilitation, demonstrating consistent scholarly output. Scientific Awards: No specific awards listed in the provided text. Henrik Boye Jensen has been actively involved in advising and research projects. He has contributed to at least three supervised works, including a Ph.D. thesis, and is a working partner in the RoboRehab project on stroke rehabilitation. He has participated in multiple collaborative research initiatives and has delivered presentations in both academic and public settings. He is also involved in public discourse through media contributions on neurological health issues. Labs and Teams: He is associated with the Research Unit for Neurology in Kolding and collaborates extensively within the Region of Southern Denmark and with national and international research groups, particularly in MS and stroke research.

• Behavioral and pharmacological treatment of opioid dependence
• Novel formulations of pharmacotherapies
• Smoking cessation among opioid-dependent patients
• +2 more

Stacey Sigmon is a Professor of Psychology and Psychiatry at the University of Vermont (UVM), affiliated with the College of Arts and Sciences and the Department of Psychological Science. She leads the Chittenden Clinic: Opioid Treatment Program and directs the UVM Center on Rural Addictions (CORA). She is also faculty at the Vermont Center on Behavior and Health (VCBH) and involved in VCBH Training Programs in Behavioral Pharmacology of Drug Dependence and Tobacco Regulatory Science. Dr. Sigmon earned a B.A. from the University of North Carolina at Chapel Hill (1995), an M.A. and Ph.D. in Psychology from UVM (1999, 2002), followed by a NIH Postdoctoral Fellowship at Johns Hopkins University School of Medicine. Her research focuses on behavioral and pharmacological treatments for opioid dependence, novel drug formulations, smoking cessation among opioid-dependent patients, and laboratory models of stimulant medications. Her work emphasizes interdisciplinary approaches to addiction, particularly in rural populations. Recent studies include randomized trials on reduced nicotine cigarettes, technology-assisted buprenorphine treatment, and interventions addressing food insecurity in OUD patients. Her articles highlight advancements in OUD management, dual-use behaviors, and policy implications for substance use interventions. Key affiliations: Chittenden Clinic, CORA, VCBH Professional roles: Director of Opioid Treatment Programs, Clinical Research Lead in Rural Addiction Education history: UNC-Chapel Hill (B.A.), UVM (M.A., Ph.D.), Johns Hopkins (Postdoc) Dr. Sigmon’s research bridges clinical practice and public health, advocating for evidence-based solutions to opioid and tobacco co-use, and mental health comorbidities. She collaborates with statewide networks to enhance treatment accessibility in underserved regions.

Amit PujariView profile

Associate Professor

• Biomedical Engineering
• Neurorehabilitation Engineering
• Neuromodulation
• +5 more

Associate Professor Amit Pujari is a biomedical engineer and neuroscientist at the University of Hertfordshire, leading the Neu(RAL)² Laboratory. He holds an honorary position at the University of Aberdeen and is a Royal Academy of Engineering Industrial Fellow. His work focuses on developing non-invasive neuromodulatory devices for stroke and spinal injury rehabilitation. Education: PhD in Biomedical Engineering, University of Aberdeen (2016) MSc in Biomedical Engineering, University of Strathclyde (2007) BE in Instrumentation & Control Engineering, Pune University (2003) Research Interests: Optimizing neuromodulatory stimuli (vibrotactile/electrical) for rehabilitation, neurophysiological basis of vibration therapy, and assistive technologies. His lab is equipped with advanced tools like high-density EMG systems, TMSi devices, and custom vibration stimulators. Awards: Academy of Medical Sciences’ Top 25 Emerging Leaders (2023) British Science Association Award Lecture (2022) Winston Churchill Memorial Trust Fellowship (2017) Grants/Projects: VECTOR: Randomized controlled trial for Crohn’s disease rehabilitation (2024–2027) SPASMS: Wearable sensor technology for spasticity management (2023–2025) User-led design of neurotechnologies for stroke survivors (2023–2025) Labs: Neu(RAL)² Laboratory focuses on neural systems rehabilitation, housing state-of-the-art equipment for EMG/EEG, TMS, and custom devices.

• Biomedical Engineering
• Nanotechnology
• Microelectronics
• +5 more

Professor Omid Kavehei is a Professor of Intelligent Microsystems in the Faculty of Engineering at the University of Sydney, serving as Deputy Head of the School of Biomedical Engineering. Previously, he held roles as a Research Fellow at the University of Melbourne and Lecturer at RMIT University. His research focuses on biomedical microsystems, nanotechnology, and brain-inspired hardware for healthcare applications, particularly epilepsy monitoring and seizure prediction. Education: PhD (specific institution not explicitly stated) His work bridges nanoelectronics and healthcare, aiming to develop low-power, brain-inspired devices for sensory perception and medical diagnostics. Key interests include neuromorphic engineering, wearable sensors, and AI-driven medical systems. Awards include the Ramaciotti Biomedical Research Award (2021), Microsoft AI for Accessibility Grant (2019), and multiple teaching/research excellence awards from the University of Sydney. His recent work explores neuromorphic cytometry for cell analysis, edge AI for ECG/EEG diagnostics, and closed-loop neurostimulation systems. Collaborations include the Sydney Nano Institute, Brain and Mind Centre, and industry partners like Microsoft. Current research students are advancing topics like bio-inspired algorithms for seizure detection, hardware-friendly machine learning models, and flexible sensor systems for aquatic environments. Grants include funding for neurophysiology platforms, quantum sensors, and semiconductor design. Labs/teams: Involved in the Centre for Drug Discovery Innovation and collaborations across engineering, neuroscience, and clinical domains.

Zhiyi HuangView profile

Associate Professor

• Theoretical Computer Science
• Algorithmic Game Theory
• Online Algorithms
• +3 more

Zhiyi Huang is an Associate Professor of Computer Science at the University of Hong Kong, leading the Computer Science Division within the School of Computing and Data Science. He holds a PhD from the University of Pennsylvania (2013) and completed a postdoctoral fellowship at Stanford University (2013–2014). His research focuses on Theoretical Computer Science, Algorithmic Game Theory, Online Algorithms, and Differential Privacy, with notable contributions to Machine Learning and Computer Networks. Education: PhD in Computer and Information Science, University of Pennsylvania (2013) Postdoctoral Researcher, Stanford University (2013–2014) Bachelor's Degree from the Yao Class at Tsinghua University (2008) Research interests span foundational areas including algorithmic game theory, online optimization, and privacy-preserving mechanisms. He has pioneered work on revenue maximization in single-parameter settings and developed novel frameworks for analyzing price of anarchy in game theory. Key Awards: Early Career Award (Research Grant Council of Hong Kong, 2014) Best Paper Award at ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2015) Morris and Dorothy Rubinoff Dissertation Award (2013) Simons Graduate Fellowship in Theoretical Computer Science (2012–2013) Recent grants include studies on algorithmic foundations of Bayesian mechanism design (HK$675,647), online primal dual techniques (HK$496,028), and privacy-preserving mechanisms (HK$931,737). His work bridges theoretical advancements with practical applications in healthcare, autonomous systems, and cybersecurity. Notable Projects: Medical predictive systems for acute cardiopulmonary events AI-driven maritime navigation using AIS data Secure federated learning frameworks with blockchain

Yasir ZakiView profile

Assistant Professor

• Communication Networks
• Wireless Networks
• Cellular Communication
• +9 more

Yasir Zaki is an Assistant Professor of Computer Science at New York University Abu Dhabi and a Global Network Assistant Professor at the Courant Institute of Mathematical Sciences, NYU. He leads the Communication Networks Lab, focusing on next-generation communication systems, performance optimization, and digital equity. University: New York University Abu Dhabi School: Courant Institute of Mathematical Sciences Department: Department of Computer Science Academic Rank: Assistant Professor Email: yz48@nyu.edu Dr. Zaki holds an MSc and PhD in Communication and Information Technology from the University of Bremen, graduating with honors. His research centers on communication and wireless networks, cellular systems, congestion control, and enhancing internet access in developing regions. His work bridges theory and real-world impact, especially in digital inclusion and AI's role in education. His recent publications span top venues like PNAS, IEEE TCSS, and ACM IMC, covering topics such as satellite network performance, digital inequality (Lite-Web), AI in education, and Big Tech's global influence. These works reveal a strong trend toward socially impactful computing, network measurement at scale, and algorithmic transparency. Big Tech Dominance Despite Global Mistrust Perception of AI in Education YouTube's Political Bias Lite-Web for Digital Equity Satellite Network Analysis His research has been recognized through high-profile media coverage in Nature and The National , and his PhD student Hazem Ibrahim received the MIT Technology Review Arabia’s Innovators Under 35 MENA 2023 award. This reflects the lab's excellence in computational social science and AI policy. Dr. Zaki mentors students in the Capstone and Research Seminar courses and actively advises PhD and research assistants. He has secured research funding through NYUAD and collaborative projects, enabling field deployments in 56 countries. His lab, the Communication Networks Lab, fosters interdisciplinary work, involving researchers from computer science, social sciences, and policy.

Yuri FaenzaView profile

Associate Professor

• Discrete Optimization
• Operations Research
• Mathematical Programming
• +4 more

Yuri Faenza is an Associate Professor in the Department of Industrial Engineering and Operations Research at Columbia Engineering, with affiliations to the Data Science Institute (DSI) and Foundations of Data Science Center. His research bridges Discrete Optimization, Operations Research, and Computer Science, focusing on algorithmic theory and applications to Market Design (particularly School Choice) and Machine Learning. Key research areas include Knapsack , Matching , and Extended Formulations , with methodological work on polytope structures, greedy algorithms, and stochastic or semi-random models. His recent publications emphasize stable matching, optimization under uncertainty, and the intersection of discrete mathematics with data science. Scientific awards include the NSF CAREER award Meta Research Award . He has served on program committees for major conferences like ALGA, EC, APPROX, and IPCO, and is an Associate Editor for journals including Mathematical Programming and Discrete Optimization . Prior to Columbia, he held postdoctoral positions at the University of Brussels, EPFL, and University of Padua.

Chadi CalargeView profile

Professor

• Child and Adolescent Psychiatry
• Developmental Pediatrics
• Psychopharmacology
• +6 more

Chadi Calarge, M.D. is a Professor at Baylor College of Medicine and leads the Calarge Lab affiliated with Texas Children’s Hospital and the Meyer Center for Developmental Pediatrics and Autism . His research focuses on the biological basis of mental illness in children and adolescents , particularly examining interactions between mental health and physical outcomes, such as growth patterns, bone health, metabolic changes, and gut-brain axis dynamics. Research Themes : Psychiatric medication effects on growth hormone signaling and longitudinal growth Role of iron deficiency and gut permeability in internalizing disorders Genetic moderators of antipsychotic and SSRI side effects Microbiome and inflammatory markers in adolescent depression Metformin as an adjunct for antipsychotic-induced metabolic issues Key Publications (2015-2024) span psychopharmacology , developmental neuroscience , and pediatric psychiatry , with recurring themes of growth inhibition from SSRIs and antipsychotics iron deficiency as a biomarker in psychiatric disorders microbiome alterations linked to mental health genetic risk factors for medication side effects metabolic monitoring standards in youth psychiatric care

Yoram AlhassidView profile

Professor

• Theoretical Nuclear Physics
• Many-Body Quantum Systems
• Nuclear Many-Body Problem
• +15 more

Yoram Alhassid is the Frederick Phineas Rose Professor of Physics in the Department of Physics at Yale University, where he leads a research group focused on theoretical nuclear and many-body physics. His work bridges nuclear physics, mesoscopic systems, and ultracold atomic gases, using advanced computational methods such as quantum Monte Carlo and the configuration-interaction shell model. His research interests include the nuclear many-body problem, femtoscience and nanoscience (nuclei, quantum dots, nanoparticles), and cold atomic Fermi gases. He has developed and applied the shell model Monte Carlo (SMMC) method to study statistical and collective properties of nuclei, such as level densities, deformation, and pairing correlations. He has extended these methods to study cold Fermi gases, particularly in the unitary regime, where he has investigated pseudogap phenomena, heat capacity, and pairing gaps. The recent publications highlight a strong focus on nuclear level densities, γ-ray strength functions, deformation effects, and quantum Monte Carlo methodologies. There is a clear trend toward microscopic, ab initio calculations of nuclear and many-body properties, with increasing attention to odd-mass and deformed nuclei, as well as the interplay between pairing and collective phenomena. Scientific Awards: Frederick Phineas Rose Professor of Physics Alhassid advises students and postdoctoral researchers, as evidenced by numerous co-authored publications. His group has developed advanced computational tools and codes (e.g., HF-SHELL) for finite-temperature mean-field and shell model calculations. The research is supported by high-performance computing and has implications for nuclear astrophysics, radioactive beam facilities, and quantum simulation with cold atoms. His lab focuses on theoretical and computational modeling of finite-size quantum many-body systems, with close collaborations across nuclear theory, condensed matter, and atomic physics. The group emphasizes method development, benchmarking against mean-field theories, and extracting model-independent signatures of physical phenomena such as deformation and pairing.

Paul CardingView profile

Professor

• Speech and Language Pathology
• Voice Disorders
• Dysphagia
• +12 more

Professor Paul Carding is a distinguished academic and researcher at Oxford Brookes University, where he serves as Professor and Director of the Oxford Institute of Allied Health Research (OxInAHR) within the Oxford School of Nursing and Midwifery. He also holds esteemed affiliations as Senior Research Fellow at University College London and Honorary Professor at Newcastle University and Australian National Catholic University. His research expertise lies in multidisciplinary clinical practice, with a focus on voice and swallowing disorders, complex healthcare interventions, and supportive cancer care. Collaborations span surgery, psychology, nursing, oncology, and palliative care. He has secured over £5 million in research funding from NIHR, MRC, Wellcome Trust, and Cancer UK. Paul Carding’s recent publications reveal a strong trend in clinical trials and systematic reviews related to voice therapy, dysphagia management, laryngeal surgery outcomes, and healthcare team dynamics during the pandemic. His work integrates clinical practice with rigorous research methodology, particularly in evaluating interventions for head and neck conditions. Honorary Professorial roles at Newcastle University and Australian National Catholic University Senior Research Fellow at University College London National Research Advisor to RCSLT (1998-2002) Non-Medical Fellow of Royal Society of Medicine (2006-present) Highly commended grants from NHMRC and NIHR He has supervised over 22 PhD and MPhil students to completion and currently mentors three PhD candidates. His grant portfolio includes major projects funded by NIHR, UKRI, and Health Education England, focusing on persistent throat symptoms, COVID-19 team dynamics, and remote consultations. He is Chair of the Oxford Brookes Healthy Ageing and Care Research and Knowledge Exchange Network and leads multiple research groups within OxInAHR. Professor Carding leads key research entities including the Oxford Institute of Allied Health Research (OxInAHR), which hosts the Centre for Movement, Occupational and Rehabilitation Sciences (MOReS), the Centre for Healthcare Research, and the Centre for Healthy Living Research. He is also involved in the NIHR Speech Pathology Research Group and the NIHR Academy Incubator for Robotic and Minimally Invasive Surgery.

Gareth TaylorView profile

Professor

• Power Systems
• Smart Grids
• Renewable Energy Systems
• +7 more

Professor Gareth Taylor is a Professor of Power Systems and Director of the Brunel Interdisciplinary Power Systems (BIPS) Research Centre at Brunel University London's College of Engineering, Design and Physical Sciences. He serves as Module Leader for the MSc Sustainable Electrical Power program and has been actively involved with the university since May 2000, progressing from National Grid Post-doctoral Scholar to his current position as Professor (appointed in 2012). He previously served as Head of the Department of Electronic and Electrical Engineering from May 2019 to June 2023 and holds a Visiting Professor position at Imperial College London (2023-2026). Professor Taylor earned his BSc in Applied Physics from Royal Holloway College, University of London (1987), followed by an MSc in Scientific and Engineering Software Technology from the University of Greenwich (1992), and completed his PhD in Computational Solid Mechanics at the University of Greenwich in March 1997. His doctoral research focused on finite volume methods for material non-linearity within multi-physics frameworks. His research spans power systems engineering with particular emphasis on smart grid technologies, renewable energy integration, and advanced computational methods. Professor Taylor has contributed to over 250 research publications in areas including power system operation and management, reactive power control, voltage regulation, and high-performance computing applications in electrical power systems. His work addresses critical challenges in modern power systems, particularly those related to the integration of renewable energy sources and the development of more resilient grid infrastructure. Analysis of his recent publications reveals a strong focus on addressing contemporary power system challenges, particularly the integration of renewable energy sources, smart grid technologies, and advanced computational methods. His work spans from fundamental power system analysis to practical applications in grid operation, with increasing emphasis on cybersecurity aspects of power system monitoring and the challenges posed by reduced system inertia in grids with high renewable penetration. Senior Member of IEEE Fellow of the Institute of Engineering and Technology (FIET) Chartered Engineer Fellow of the Higher Education Academy (FHEA) UK Regular Member for CIGRE Study Committee D2 (2016-2022) Member of Strategic Advisory Group for CIGRE Study Committee D2 (2023) Professor Taylor has led numerous significant research projects including TDX-ASSIST (€5.2M), e-HIGHWAY2050 (€8.2M), and HiPerDNO (€5.4M), with funding from EPSRC, European Commission, National Grid, and other major organizations. His current research portfolio includes projects on novel decoupled active/reactive power oscillation response, digitalization of power systems operation, and examining net zero policy in European energy markets. He also directs the BIPS Research Centre, which focuses on interdisciplinary power systems research with strong industry connections.

Geoff DoverView profile

Associate Professor

• Pain Research
• Biopsychosocial Model
• Chronic Low Back Pain
• +5 more

Geoff Dover is an Associate Professor in the Department of Health, Kinesiology and Applied Physiology at Concordia University, where he has served since 2008 after directing the Graduate Athletic Training program at the University of Florida. A Certified Athletic Therapist and Certified Athletic Trainer, his research centers on biopsychosocial mechanisms of pain perception and disability, with emphasis on chronic low back pain and athlete rehabilitation. His academic credentials include: PhD from the University of Florida MS from the University of Florida Diploma in Sports Injury Management from Sheridan College BSc in Human Kinetics from the University of Guelph Dr. Dover implements biopsychosocial models to investigate how psychological factors like catastrophizing and fear avoidance interact with functional limitations in chronic pain development. His work identifies risk factors for heightened pain perception and reduced functionality across diverse populations, utilizing innovative tools such as infrared thermography for objective pain assessment and fracture healing monitoring. This research addresses the societal burden of chronic pain through improved clinical outcomes in musculoskeletal disorders. Analysis of his 2020-2024 publications reveals consistent focus on chronic low back pain mechanisms, athlete concussion recovery, and psychological determinants of rehabilitation outcomes. His methodology emphasizes randomized controlled trials, systematic reviews, and psychometric validation of assessment tools, with practical applications in athletic therapy settings. Key trends include quantifying fear avoidance behaviors, evaluating novel interventions like aquatic exercise, and establishing correlations between pain catastrophizing and physiological responses. Scientific Awards: No scientific awards were documented in the provided materials As a thesis supervisor for MSc and PhD candidates in Health and Exercise Science, Dr. Dover mentors graduate students through the Athletic Therapy Research Laboratory. This facility investigates pain perception variability, recovery trajectories, and functional adaptations in both athletic and general populations, with specialized focus on pain-related fear measures. His lab bridges clinical practice and research through partnerships with Concordia's Perform Centre.

• Epidemiology
• Genetic Epidemiology
• Cardiometabolic Diseases
• +5 more

Dr. Karlijn A. C. Meeks serves as Assistant Professor in the Department of Medicine at the University of Maryland School of Medicine with secondary appointment in Epidemiology & Public Health, conducting research through the Division of Endocrinology, Diabetes, and Nutrition focused on cardiometabolic diseases in African-ancestry populations across sub-Saharan Africa and the diaspora. Her academic credentials include: B.Sc. in Nutrition and Health, Wageningen University (2010) M.Sc. in Nutrition and Health, Wageningen University (2012) Ph.D. in Public Health Epidemiology, University of Amsterdam (2017) Postdoctoral training in Epidemiology, Amsterdam University Medical Centers (2018) Postdoctoral training in Genetic Epidemiology, National Institutes of Health (2024) Dr. Meeks pioneers research in genetic and epigenetic epidemiology of obesity, type 2 diabetes, and dyslipidemia through innovative multi-omics approaches that integrate genomics, epigenomics, transcriptomics, and metabolomics with classical epidemiological methods. Her work specifically targets historically underrepresented African populations using comparative migrant studies across geographical settings to dissect environmental versus genetic contributions to disease. She has published over 80 peer-reviewed articles with recent work (2019-2023) establishing foundational knowledge in African-ancestry populations through first-of-kind epigenome-wide association studies and genome-wide analyses of cytokines. Her publications in Genome Medicine , EBioMedicine , and International Journal of Epidemiology demonstrate consistent focus on Mendelian randomization, biomarker discovery, and improving risk prediction models for cardiometabolic diseases in underrepresented groups. Her major scientific recognition includes: NIH Pathway to Independence Award (K99/R00) As principal investigator of the NIH K99/R00 award, Dr. Meeks leads research examining interactions between lifestyle factors, cytokines, genetic variants, and epigenetic biomarkers in type 2 diabetes pathogenesis among African-ancestry populations. While specific advisees aren't documented in source materials, her work involves extensive international collaboration through consortia like the RODAM study. Dr. Meeks operates within the University of Maryland's Division of Endocrinology, Diabetes, and Nutrition while maintaining active research partnerships with institutions across sub-Saharan Africa and the National Institutes of Health, driving global health equity through population-specific genomic and epigenetic research frameworks.

Pirro HysiView profile

Associate Professor

• Genetics
• Genomics
• Ophthalmology
• +6 more

Dr. Pirro Hysi is a Reader (equivalent to Associate Professor) in Ophthalmology at King's College London, where he serves as School Academic Lead for Postgraduate Research within the School of Life Course & Population Sciences. His work bridges genetics, genomics, and ophthalmology, with a focus on understanding the genetic basis of eye diseases and related conditions. Dr. Hysi's research spans multiple areas of genetic ophthalmology and population genomics. His work primarily focuses on genome-wide association studies (GWAS) to identify genetic variants associated with eye conditions including myopia, glaucoma, keratoconus, and age-related macular degeneration. He also investigates the intersection of genetics with metabolomics, exploring how metabolic pathways influence ocular health and disease progression. His research has expanded into machine learning applications for disease prediction and the genetic basis of systemic conditions that impact eye health. His publication record demonstrates a strong focus on large-scale genetic studies, often leveraging data from the UK Biobank and other international cohorts. Recent work has expanded into applying machine learning approaches to predict disease progression and exploring the genetic basis of conditions beyond ophthalmology, including cardiovascular health, metabolic disorders, and pregnancy-related conditions. Dr. Hysi serves as Principal Investigator or Co-Investigator on multiple research projects funded by organizations including Fight for Sight, the BrightFocus Foundation, NIH, and the Fetal Medicine Foundation. His current projects include investigating metabolic factors in age-related eye diseases, developing vision measurement technology, and identifying glaucoma therapy targets through multi-omic analysis. He is actively involved in several major research consortia, particularly the UK Biobank Eye and Vision Consortium, and has contributed to numerous large-scale genetic studies across multiple medical specialties. His work has been featured in high-impact journals including Nature Communications, JAMA Ophthalmology, and Nature Medicine.

• Neuroscience
• Brain Networks
• Functional Connectivity
• +4 more

Richard F Betzel is an Associate Professor in Neuroscience at University of Minnesota and affiliated with Indiana University and Northwestern University through collaborative research grants. As a leading network neuroscientist, he develops edge-centric approaches for analyzing brain network organization and dynamics. Current affiliations: University of Minnesota (primary), Indiana University (collaboration), Northwestern University (collaboration) Active research grants from: National Science Foundation (NSF), NIH National Institute on Aging, NIH National Institute of Neurological Disorders & Stroke His research focuses on: Understanding brain network reconfiguration during aging and cognitive tasks Developing computational tools for analyzing connectome architecture Exploring relationships between structural and functional connectivity Investigating network mechanisms in neurodegenerative disorders like Parkinson's Advancing mindfulness meditation research through network neuroscience Recent publications emphasize: Edge-centric network analysis methods Connectome organization across species Dynamic network approaches to social cognition Functional MRI analysis of co-fluctuations Network controllability and modular architecture Applications to both healthy aging and pathological conditions His work contributes to UN Sustainable Development Goals including healthy aging (SDG 3) and scientific knowledge advancement. Current projects include NCS-FO for edge-centric brain mapping (NSF-funded), social cognitive aging research (NIH), and TMS therapy network analysis (NIH).