جست‌وجوی استاد و پژوهشگر

Venkatasubraman Kalpathy Venkiteswaranمشاهده پروفایل

استادیار

• Robotics
• Soft Robotics
• Medical Devices
• +۳ مورد دیگر

Venkatasubraman Kalpathy Venkiteswaran is an Assistant Professor in the Biomedical Device Design and Production Technology field. His research focuses on soft robotics , magnetic actuation , and biomedical applications . He explores topics such as variable stiffness mechanisms, medical devices, and biomimetic systems. He has contributed to advancements in magnetic soft robots, including multi-layer printing techniques and adaptive locomotion systems. His work integrates materials science with robotics, emphasizing applications in healthcare and minimally invasive interventions. Collaborations span global institutions, reflecting his interdisciplinary approach. Notable research includes the APOLLO project for endovascular interventions and fin-wave-inspired amphibious robots. His publications highlight innovations in actuation, modeling, and material design for robotic systems.

Denise O'Driscollمشاهده پروفایل

عضو هیئت علمی

• Sleep Apnea
• Cardiometabolic Health
• Obesity
• +۵ مورد دیگر

Denise O'Driscoll is an Adjunct Clinical Associate Professor at Monash University's Faculty of Medicine, Nursing and Health Sciences and serves as Chief Sleep Scientist at Eastern Health. Her expertise lies in sleep physiology, particularly the cardio-metabolic consequences of sleep apnoea in contexts of obesity, aging, and ethnicity. She holds a PhD from the University of London and completed post-doctoral fellowships at Monash University. Education: PhD in Biomedical Science, University of London Post-doctoral fellowships at Monash University Research Interests: Denise investigates how sleep apnoea impacts cardiovascular and metabolic health, with a focus on ethnic disparities, obesity, and aging. Her work explores treatment efficacy (e.g., CPAP) and sleep-related issues in clinical populations, including hospitalized patients and children with Down syndrome. Her studies often address cross-cultural differences in sleep disorders and their physiological mechanisms. Her articles highlight trends in screening methods for sleep disorders, the role of diet and lifestyle in apnoea management, and the effects of sleep disturbances on blood pressure and productivity. She emphasizes practical solutions for healthcare efficiency, such as reducing sleep laboratory waiting times through protocols like the ViTAL week. Scientific Awards : Nick Antic Career Development Award (2017) Fellow of the Thoracic Society of Australia and New Zealand (2019) Grants & Advising: Denise has led or contributed to 8 research projects funded by organizations like the National Heart Foundation and NHMRC. Notable projects include investigating sleep apnoea in children with Down syndrome (2009–2011) and assessing CPAP device efficacy (2012). She currently accepts PhD students interested in sleep-related research. Labs & Teams: She collaborates with Eastern Health Clinical School and Monash University departments, engaging in cross-disciplinary research with institutions globally. Her work contributes to UN Sustainable Development Goals targeting health and well-being, and reducing inequalities through sleep science advancements.

• Biomechanics
• Rehabilitation Robotics
• Gait Analysis
• +۳ مورد دیگر

Dr. Alpha Agape Gopalai serves as an Associate Professor at the School of Engineering, Monash University Malaysia, where she leads cutting-edge research in human biomechanics and rehabilitation technology. With over 80 scholarly outputs spanning 2007-2025 and active supervision of PhD students, her work bridges engineering innovation with clinical applications in movement science. Her research portfolio centers on biomechanics and rehabilitation robotics, with specialized expertise in gait analysis, wearable sensor systems, and machine learning applications for human movement. Key contributions include developing soft robotic exoskeletons for activities of daily living, creating fall detection systems for elderly populations, and pioneering magnetic localization techniques for medical devices. Her work consistently addresses real-world challenges in aging populations and rehabilitation engineering. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research trajectories: (1) deep learning integration with wearable sensors for muscle activity estimation and disease detection, (2) advanced soft robotic exosuit design for sit-to-stand transitions and ADL assistance, and (3) precision biomechanical modeling of age-related movement adaptations. These threads demonstrate increasing sophistication in merging AI with biomechanical measurement systems. Her scholarly impact is recognized through two major research awards, though specific honors remain unnamed in available documentation. These accolades reflect her contributions to both engineering innovation and translational healthcare solutions. Dr. Gopalai actively mentors graduate researchers while securing substantial project funding, as evidenced by her 7 documented research projects between 2015-2023. Her collaborative approach spans computational modeling, hardware development, and clinical validation studies, often involving interdisciplinary teams focused on practical healthcare implementations.

Juan Núñezمشاهده پروفایل

استاد پژوهشی

• Tunnel Field-Effect Transistors (TFET)
• Low-power electronics
• Emerging semiconductor technologies
• +۶ مورد دیگر

Juan Núñez is a Research Professor at the Microelectronics Institute of Seville (IMSE-CNM), part of the Spanish National Research Council (CSIC). His primary research focus lies at the intersection of emerging semiconductor technologies and novel computing paradigms, with particular expertise in tunnel field-effect transistors (TFETs) and their applications in low-power circuit design. Institution: Spanish National Research Council (CSIC) Research Institute: Microelectronics Institute of Seville (IMSE-CNM) Specialization: TFET, Pipeline, Variability, Low-power, Emerging technologies, RTD, NDR, Emerging devices, Dynamic logic Professor Núñez's research portfolio demonstrates a strong evolution from traditional digital circuit design toward emerging computing paradigms. His early work focused on optimizing conventional CMOS circuits and exploring tunnel transistors as potential successors to traditional MOSFETs. More recently, his research has pivoted toward neuromorphic computing, particularly oscillatory neural networks and Ising machines implemented with emerging devices. His work bridges the gap between device physics, circuit design, and computational applications, with a consistent emphasis on energy efficiency. The trend in his recent publications (2020-2024) shows a significant shift toward neuromorphic computing applications, particularly using phase transition materials and oscillatory networks for solving complex optimization problems. His research on VO 2 (vanadium dioxide) based Ising machines represents cutting-edge work in non-von Neumann computing architectures that could potentially solve NP-hard problems more efficiently than conventional computers.

Olga Taranمشاهده پروفایل

مدرس

• Machine Learning
• Deep Learning
• Biomedical Data Science
• +۳ مورد دیگر

Dr. Olga Taran is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich, specializing in machine learning and biomedical data science. She holds a PhD in Computer Science from the University of Geneva, with a focus on machine learning for complex problems. Her postdoctoral research at the Biomedical Data Science (BMDS) Lab involves developing data-driven metrics to improve outcomes in Spinal Cord Injury (SCI) clinical trials, addressing challenges in treatment evaluation. Her work aims to enhance clinical decision-making and accelerate therapy development. Olga's research also extends to anti-counterfeiting technologies using machine learning, focusing on copy detection patterns and authentication systems. Her research interests span machine learning applications in healthcare, deep learning methodologies, and the integration of digital twins for fraud detection. She has contributed to advancements in radio astronomical image reconstruction and self-supervised learning techniques. Olga's publications reflect a strong emphasis on interdisciplinary solutions, combining machine learning with fields like astronomy, cybersecurity, and biomedical science. Notable achievements include pioneering work on authentication systems using digital blueprints and physical fingerprints, as well as stochastic digital twin models for copy detection patterns. She actively collaborates on projects addressing the limitations of traditional clinical trial metrics and exploring machine learning's role in combating adversarial attacks on authentication systems.

Jat Singhمشاهده پروفایل

استاد پژوهشی

• Algorithmic Accountability
• AI Governance
• Data Privacy & Protection
• +۶ مورد دیگر

Dr. Jat Singh is a Research Professor at the University of Cambridge's Department of Computer Science and Technology (Computer Laboratory), leading the Compliant and Accountable Systems research group. His interdisciplinary work bridges computer science and law, focusing on technology's legal and regulatory compliance, governance of AI/ML systems, and ethical data practices. He co-chairs the Trust & Technology Initiative and is a Fellow of the Alan Turing Institute. Education: PhD in Computer Science (Distributed Systems & Security) from the University of Cambridge, with prior legal studies. Professional background includes roles in IT services, a medical IT startup, and consulting, emphasizing governance-intensive sectors like healthcare and judiciary. Research interests include accountability in AI, IoT compliance, data justice, and ethical algorithmic systems. Notable projects include RAInS (accountability in AI), legally-compliant IoT frameworks, and data governance in modern slavery contexts. His work explores transparency, fairness, and auditability in technology. Scientific Awards: EPSRC Fellowship and Alan Turing Institute Fellowship. Active in tech-policy advising, collaborating with governments, regulators, and civil society. Teaching: Leads the Technology, Law & Society module in the Advanced Computer Science MPhil. Supervises student projects on algorithmic accountability, security, and societal impacts of technology. Labs/Teams: Heads the Compliant & Accountable Systems Group and contributes to the Trust & Technology Initiative, advancing interdisciplinary research on technology's societal implications.

Elijah Behrمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Genetics
• Genomics
• +۷ مورد دیگر

Elijah Behr is a Professor of Cardiovascular Medicine, Consultant Cardiologist, and Electrophysiologist specializing in sudden cardiac death, genetics, and genomics. His research focuses on arrhythmia syndromes, inherited cardiac conditions, and genetic testing integration into clinical practice. Behr is actively involved in evaluating novel diagnostic methods like pharmacological provocation testing and synthetic electrocardiogram analysis for conditions such as Brugada syndrome. His work spans clinical trials comparing implantable defibrillator therapies (subcutaneous vs transvenous), exercise tolerance in hypertrophic cardiomyopathy, and molecular mechanisms underlying cardiomyopathies. He has contributed to consensus guidelines on genetic testing for cardiomyopathies and device therapy optimization. Behr’s studies also address population-specific genetic variants (e.g., SCN5A in Thailand) and outcomes in rare cardiac diseases identified via large-scale genomic projects like the 100,000 Genomes Project. Key research themes include arrhythmia risk stratification, sex-based differences in device complications, and the role of genetics in sudden cardiac death. His multidisciplinary approach combines clinical cardiology with advanced genomic techniques to improve diagnostic accuracy and patient care in inherited heart conditions. Behr’s academic contributions are further reflected in his leadership in international trials like TETRIS and PRAETORIAN-XL, which investigate arrhythmia management strategies. He advocates for comprehensive molecular autopsy protocols to identify genetic causes of sudden death and improve familial screening.

Giovanni Brogginiمشاهده پروفایل

مدرس

• Genomics
• Plant Breeding
• Agricultural Biotechnology
• +۳ مورد دیگر

Dr. Giovanni Broggini is a Lecturer in the Department of Environmental Systems Science at ETH Zurich, specializing in plant genetics and breeding. His research focuses on advancing apple breeding through genomic selection, cisgenic modifications, and phenotyping technologies. He leads initiatives leveraging genomic data and environmental variables to enhance crop resilience against diseases like fire blight (Erwinia amylovora) and apple scab (Venturia inaequalis). His work integrates molecular biology techniques, including CRISPR/Cas9 and LiDAR-based phenotyping, to develop disease-resistant cultivars while ensuring biosafety through omics analysis. Broggini collaborates with Swiss breeding programs to utilize core genetic resources, such as the Swiss Apple Core Collection, for sustainable cultivar development. Key projects include cisgenic apple line C44.4.146 demonstrating resistance to fire blight without unintended effects, and the FruitPhenoBox device for rapid fruit quality assessment. His teaching includes the course 'Applied Laboratory Techniques in Agricultural Sciences' (Autumn 2025). Publications highlight innovations in genomic prediction, non-destructive phenotyping, and transgene stability assessment, contributing to both fundamental and applied plant science.

• Robotics
• Machine Learning
• Tactile Sensing
• +۴ مورد دیگر

Adam Spiers is an Assistant Professor in Robotics and Machine Learning at the Department of Electrical and Electronic Engineering, Imperial College London. He leads the Manipulation and Touch Lab, focusing on bio-inspired robotic manipulation, prosthetics, and haptic interfaces for navigation assistance. Focuses on robot manipulation inspired by biological systems Develops robotic hand hardware, sensing, and control frameworks Researches upper-limb prosthetics and shape-changing haptic interfaces His work spans hardware design, sensor development, and machine learning techniques applied to robotic manipulation and human-robot interaction. Current projects include tactile sensing systems and prosthetic limb analysis. Recent publications emphasize tactile perception, object recognition, and haptic navigation systems. Key trends include barometric sensor applications, diffusion-based imitation learning, and proprioceptive feedback mechanisms. His career includes previous positions at Max Planck Institute for Intelligent Systems, Yale University, Bristol Robotics Laboratory, JET, and University of Reading.

Eric Staykovمشاهده پروفایل

عضو هیئت علمی

• Obstructive Sleep Apnea
• Respiratory Physiology
• Sleep Medicine
• +۳ مورد دیگر

Mr. Eric Staykov is an Associate Lecturer at the School of Electrical Engineering and Computer Science , The University of Queensland , focusing on sleep physiology and respiratory disorders. His research explores airflow limitation mechanisms in obstructive sleep apnea (OSA) and their cognitive impacts, particularly psychomotor vigilance task performance. Research Areas: Obstructive sleep apnea pathophysiology Flow limitation quantification Daytime sleepiness and cognitive impairment Heart rate variability during respiratory events Biomedical signal processing Recent Work Trends: 2022-2024 multi-cohort studies on sleep apnea and vigilance 2023-2024 investigations into signal quality in respiratory diagnostics 2024 linking mild OSA to daytime sleepiness 2012 foundational work in optogenetic zebrafish models Supervision: Available for PhD/Master's research supervision

Mohamed Shehataمشاهده پروفایل

استاد

• Sliding Mode Control
• Power Electronics
• Electric Drives
• +۷ مورد دیگر

Mohamed Shehata is the Acting Dean of Academics and Chair of the College of Engineering at Capitol Technology University. He holds a PhD in Electrical Engineering from Purdue University (1989) and has over 35 years of experience in academia, specializing in curriculum development, lab design, and research in power electronics and control systems. BS: Electrical Power Engineering, Helwan University (1980) MS: Electrical Engineering (Power Electronics), Purdue University (1985) PhD: Electrical Engineering (Power Electronics), Purdue University (1989) His research focuses on sliding mode control for power converters, power systems, and electric drives, with applications in renewable energy and robotics. Recent publications highlight interdisciplinary work in semiconductor lasers, FPGA-based satellite control, wind energy systems, and intelligent power converter management. Dr. Shehata has secured a $225,000 grant (2014) for laser diode driver research at KAUST and established industry partnerships (e.g., Cummins Inc.) to enhance student internships and lab infrastructure. He pioneered the first diesel engine lab in Saudi Arabia and led ABET accreditation efforts. He has supervised student teams in robotics, IEEE chapters, and Formula SAE competitions, emphasizing STEM outreach and academic leadership. His lab development portfolio includes renewable energy, photonic, and industrial control labs across Egypt, Saudi Arabia, and the UAE.

Huiping Caoمشاهده پروفایل

استاد

• Databases
• Deep Learning
• Data Mining
• +۷ مورد دیگر

Huiping Cao is a Professor in the Department of Computer Science at New Mexico State University (NMSU). She holds a Ph.D. from The University of Hong Kong (2007), and bachelor’s and master’s degrees from Renmin University of China (1999 and 2002). Her expertise spans databases, deep learning, data mining, time series analysis, and graph mining. Her research focuses on developing computational methodologies to extract knowledge from complex data such as sequences and graphs, with applications in smart grids, animal and range sciences, agriculture, and high-performance computing. Dr. Cao’s work emphasizes interdisciplinary applications, including real-time cattle monitoring using sensors (GPS and accelerometers) for disease detection, parturition prediction, and grazing behavior analysis. She has developed tools like GRAZETOOLS for livestock behavior analysis and contributed to precision ranching systems using LoRa-WAN sensors. Her methodological innovations include backbone index models for multi-cost road networks and federated learning frameworks to address data imbalance in distributed systems. Her research has addressed challenges such as uncertainty quantification in time series analysis, probabilistic modeling for segmentation tasks, and sensor error evaluation. She collaborates across disciplines, integrating machine learning with environmental and agricultural domains. Dr. Cao’s contributions also include advancements in graph-based influence discovery, semantically annotated observational data systems, and compression techniques for power grid monitoring data.

John C. Affeldtمشاهده پروفایل

دانشیار

• Corneal Diseases
• Neurotrophic Keratopathy
• Herpes Zoster Ophthalmicus
• +۳ مورد دیگر

John C. Affeldt, MD is an Associate Professor in the Department of Ophthalmology at Loma Linda University's School of Medicine. His work focuses on corneal diseases, neurotrophic keratopathy, and infectious ophthalmic conditions. He leads multi-center clinical trials such as the Zoster Eye Disease Study (ZEDS) evaluating antiviral therapies and pivotal trials for recombinant nerve growth factor (cenegermin). Research Interests: Corneal dystrophies and degenerations Neurotrophic keratopathy treatment innovations Herpes zoster ophthalmicus management Ocular surface restoration strategies Antiviral and regenerative therapies Recent Articles Highlight: Dr. Affeldt's 2025 ZEDS trial publications demonstrate efficacy of valacyclovir in post-herpetic neuralgia. His 2020 cenegermin trial established standards for neurotrophic keratopathy treatment. Earlier work includes defining corneal dystrophy genetic markers and trauma-related ocular injuries. Grants & Awards: NIH-funded ZEDS trial (2018-2024) Clarion Biotherapeutics' CSB-001 trial (2023-2024) Combangio, Inc. PCED trial (2025-2026) Labs/Teams: Involved in Loma Linda's Ophthalmology Department research initiatives focusing on translational corneal therapies.

Erik L. Frandsenمشاهده پروفایل

استادیار

• Pediatric Cardiology
• Heart Transplantation
• Congenital Heart Disease
• +۴ مورد دیگر

Erik L. Frandsen, MD is an Assistant Professor at Loma Linda University School of Medicine in the Pediatric Cardiology Division . His clinical and research focus centers on complex pediatric cardiovascular conditions, particularly heart transplantation and congenital heart disease.

Charles Marksمشاهده پروفایل

دانشیار

• Exercise Physiology
• Cardiovascular Physiology
• Metabolic Responses
• +۶ مورد دیگر

Charles Marks, Ph.D., is an Associate Professor in Exercise Science at Oakland University's School of Health Sciences. He holds a PhD and MS from the University of Michigan, and a BGS from Oakland University. His office is located in 3160 Human Health Building, reachable at (248) 364-8687. Education: PhD & MS from University of Michigan; BGS from Oakland University Research focuses on cardiovascular/metabolic responses, mobility device comparisons (crutches vs. knee scooters), stability ball aerobic exercise effects, heart rate variability in cancer patients, and body composition method comparisons. Collaborates on fitness programs for Autism and dietary manipulation studies. Encourages undergrad/grad student involvement in research presentations. No specific awards cited, but maintains active interdisciplinary collaborations. Personal interests include family time, Northern Michigan travel, and Upper Peninsula camping.