جست‌وجوی استاد و پژوهشگر

Ali Meimandiمشاهده پروفایل

پژوهشگر

• Analog circuit design
• Biomedical circuits and systems
• Ultra-low-power integrated circuits
• +۴ مورد دیگر

Ali Meimandi is a Doctoral Assistant and candidate in the Doctoral Program in Microsystems and Microelectronics at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. He conducts research in the BioCMOS Interfaces (BCI) Laboratory within the Institute of Electrical Engineering and Microengineering, School of Engineering, focusing on ultralow-power biomedical integrated circuits. His educational background includes: M.Sc. in Electronics Engineering from Politecnico di Milano (2022) B.Sc. in Electrical Engineering (Electronics) from Amirkabir University of Technology (2018) Meimandi's research centers on designing ultralow power and ultralow area analog/mixed-signal ICs for brain monitoring applications. His expertise spans biosensors, neural prosthesis, and miniaturized CMOS circuits, with emphasis on developing innovative biomedical systems that bridge electrical engineering with neuroscience. His work targets practical implementations for implantable and wearable health monitoring technologies. His publication record shows consistent advancement in miniaturized circuit design for biomedical applications, particularly in brain monitoring, sweat analysis, and hydration tracking systems. These works demonstrate his dual expertise in analog circuit design and biological interface implementation. Key recognition includes: 2024 IEEE Sensors Letters Best Paper Award for 'Flexible Sensor and Readout Circuitry for Continuous Ion Sensing in Sweat' As a Teaching Assistant for Bio-nano-chip design (EE-517) and Analog circuits for biochip (EE-518), Meimandi contributes to EPFL's educational mission while advancing his research in active Bio/CMOS interfaces. His work in the BCI Laboratory focuses on heterogeneous integration of nanostructures for next-generation biosensors. The BioCMOS Interfaces Laboratory provides an interdisciplinary environment where Meimandi develops novel electronic-biological interfaces, with applications ranging from neural prosthetics to continuous health monitoring systems through innovative circuit architectures.

• Plant Phenotyping
• Precision Agriculture
• Machine Vision
• +۶ مورد دیگر

Dr. Huajian Liu is a Grant-Funded Researcher (B) at the University of Adelaide's School of Agriculture, Food and Wine, within the Faculty of Sciences, Engineering and Technology. He is affiliated with The Plant Accelerator, the Adelaide node of the Australian Plant Phenomics Facility. His research focuses on machine vision and machine learning for plant phenotyping and precision agriculture, particularly using hyperspectral imaging for plant nutrient estimation, disease detection, stress tolerance analysis, and pest monitoring. Dr. Liu holds a PhD in machine vision for invertebrate detection from the University of South Australia (2018) and has been a post-doctoral researcher at The Plant Accelerator since then. His expertise spans hyperspectral imaging, bio-inspired machine vision systems, 3D model reconstruction, and optical sensing system design. He is eligible to supervise Masters and PhD students in plant phenotyping and precision agriculture. Key research areas include crop stress detection (drought, salt, nutrient deficiencies), invertebrate pest identification, and automation in agricultural monitoring. Affiliations: The Plant Accelerator, School of Agriculture, Food and Wine Research Themes: Plant phenotyping, precision agriculture, machine learning applications Grants: Ongoing grant-funded research in plant phenomics and hyperspectral technologies Publications highlight innovations in hyperspectral imaging for crop yield prediction, disease diagnostics, and nitrogen content analysis. His work bridges computational methods with agricultural challenges, emphasizing sustainable farming solutions.

Jason Jeffrey Jonesمشاهده پروفایل

دانشیار

• Computational Social Science
• Social Networks
• Ipseology
• +۶ مورد دیگر

Jason Jeffrey Jones is an Associate Professor in the Department of Sociology and Institute for Advanced Computational Science at Stony Brook University. He earned his Ph.D. from UC San Diego in 2011 and directs CSSERG (Computational Social Science of Emerging Realities Group), a research team focused on cross-disciplinary computational methodologies to study emerging social phenomena. His research interests center on computational social science, with specific expertise in online experiments, social networks, high-throughput text analysis, and machine learning. Dr. Jones is particularly known for pioneering work in "Ipseology" - the scientific study of how individuals describe themselves, especially through digital platforms. His work examines humans' perceptions of themselves and the developing role of artificial intelligence in society, with recent focus on measuring identity trends through social media platforms like Twitter. Dr. Jones' research has been published in numerous peer-reviewed journals including Nature, PLOS ONE, and Sociological Science, with work cited thousands of times. His findings have received significant media attention, appearing in the New York Times, The Atlantic, Sports Illustrated, and the Washington Post. His recent publications track LGBTQ visibility on Twitter, political identity expression, occupational identity evolution, and public attitudes toward AI. Stereotypical gender associations in language have decreased over time Effectiveness of virtual reality in evoking empathy Dynamics of gender stereotypes in language over decades Temporal trends in personally expressed identity Dr. Jones has also conducted notable research on social influence and political mobilization, including a landmark 61-million-person experiment during the 2012 US presidential election. His work on the relationship between political-party affiliation and behavior on dating sites like Ashley Madison has generated significant academic discussion. He is the author of the recently published book "Ipseology - A New Science of the Self" and maintains an active research presence through his website and social media channels.

• Biosensors
• Bio-nanotechnology
• Bioregenerative Life Support
• +۴ مورد دیگر

Dr. D. Marshall Porterfield is a Professor of Agricultural & Biological Engineering at Purdue University, specializing in biosensors, bio-nanotechnology, and space biology. His research focuses on developing technologies for bioregenerative life support systems and nutrient delivery in microgravity environments. He served as NASA's Division Director for Space Life and Physical Sciences (2012-2016), pioneering initiatives like geneLAB and materialsLAB to advance space research utilization. His work bridges engineering and biology, with applications in space exploration and terrestrial challenges. Porterfield holds leadership roles in organizations like the American Society for Gravitational and Space Research and the Institute for Biological Engineering. He has authored over 100 peer-reviewed papers and holds patents in biosensor technology. Awards include the Halstead Investigator Award and election to the AIMBE College of Fellows. His research portfolio includes lab-on-a-chip devices, biomimetic sensors, and gravitational physiology studies, with recent emphasis on lunar agriculture and space radiation mitigation. His articles highlight advancements in space microbiology, extraterrestrial crop systems, and molecular responses to spaceflight. Key themes include optimizing oxygen delivery for hydroponics, detecting cancer biomarkers via microtest tech, and understanding aging in space environments. Porterfield collaborates across disciplines, leveraging Purdue's facilities like the Birck Nanotechnology Center and Discovery Park for interdisciplinary innovation.

Rao V. Mulpuriمشاهده پروفایل

استاد

• Semiconductor Materials
• Device Processing
• Ion Implantation
• +۷ مورد دیگر

Rao V. Mulpuri is a Professor in the Department of Electrical and Computer Engineering at George Mason University's School of Information Technology and Engineering. He joined GMU in September 1984 and attained the rank of Professor in September 1993. His research has focused on semiconductor materials and device processing, with particular expertise in ion implantation technology for compound semiconductors. Dr. Mulpuri earned his BTech in Electronics and Communications Engineering from Jawaharlal Nehru Technological University (1977), MTech in Materials Science from the Indian Institute of Technology (1979), and MS (1983) and PhD (1985) in Electrical Engineering from Oregon State University. His research spans semiconductor device physics, with emphasis on large bandgap materials like silicon carbide (SiC) and gallium nitride (GaN). Key areas include ion implantation doping, ohmic contact development, microwave annealing techniques, and fabrication of high-power/high-temperature devices. More recently, his work has expanded into microfluidic systems for biological applications and infrared focal plane arrays. Analysis of his recent publications reveals a strong focus on microwave processing of wide-bandgap semiconductors, particularly examining strain effects in GaN heterostructures, optimizing SiC device performance, and developing novel annealing techniques. His work bridges fundamental materials science with practical device applications. Outstanding Research Award, School of Information Technology and Engineering, George Mason University (2002) Engineering Excellence Award, Telugu Association of North America (TANA) (2005) Dr. Mulpuri has secured over $3 million in research funding through 22 consecutive years of support (1987-2009), including nine consecutive NSF awards plus funding from ONR, ARO, NASA, NRL, and NIST. He has advised 12 PhD students to completion (with 2 more in progress) and 13 MS students, with graduates employed at major technology companies including Intel, GE, and IBM. He has served as a Program Director at NSF and reviewed numerous proposals and journal articles. His laboratory has established strong collaborations with government research facilities including Naval Research Laboratory, Army Research Laboratory, National Institute of Standards and Technology, Oak Ridge National Laboratory, and GE Corporate Research, focusing on semiconductor device development for defense and commercial applications.

• Poultry Nutrition
• Animal Nutrition
• Feed Science
• +۶ مورد دیگر

Benjamin W Parsons serves as Assistant Professor and Director of the Experiment Station (DREX) in the Department of Poultry Science at the University of Arkansas. He holds a Ph.D. in Poultry Science (2023) from the University of Arkansas, complemented by M.S. (2021) and B.S. (2019) degrees in Animal Sciences from the University of Illinois Urbana/Champaign. His research program centers on nutrient availability evaluation through digestibility, retention, and bioavailability studies in poultry feedstuffs. He investigates feed additive efficacy for improving nutrient utilization and examines dietary impacts on intestinal secretions and endogenous nutrient losses. Key methodologies include precision-fed rooster assays and in vitro prediction models for feed ingredient quality assessment. Recent publications (2022-2024) demonstrate concentrated expertise in mineral nutrition (zinc, phosphorus) and amino acid metabolism, with significant contributions to understanding ethanol co-products, protein sources, and anti-nutrient factors in poultry diets. His work bridges fundamental nutrient science with practical feed formulation applications. Dr. Parsons maintains active professional engagement through memberships in the World's Poultry Science Association and Poultry Science Association. While no specific awards or advisees are documented in the source material, his research program indicates substantial collaborative activity within the poultry science community.

Mohamed Elamienمشاهده پروفایل

استادیار

• Circuit Theory
• CMOS Integrated Circuits
• Analog and Mixed-Signal Circuit Design
• +۷ مورد دیگر

Dr. Mohamed Elamien is an Assistant Professor in the Department of Electrical and Computer Engineering at McMaster University . His research focuses on automating high-performance integrated circuit (IC) design, addressing Power-Performance-Area (PPA) challenges in semiconductors, and developing self-powered platforms for emerging technologies like biomedical and IoT applications. He holds a BSc (Highest Honors) and MSc from the University of Sharjah (2015–2017), and a PhD in Electrical and Computer Engineering from the University of Calgary (2021). Prior to academia, he worked as a senior analog/mixed-signal circuit design engineer at Synopsys (2022). Education: BSc (Highest Honors) in Electrical & Electronics Engineering – University of Sharjah (2015) MSc in Electrical & Electronics Engineering – University of Sharjah (2017) PhD in Electrical & Computer Engineering – University of Calgary (2021) His research interests span analog and mixed-signal circuit design , CMOS integrated circuits , biomedical technologies , and energy-efficient systems . He has developed innovative designs for oscillators, filters, and low-power circuits with applications in IoT and healthcare. His work emphasizes automation and symbolic math tools to streamline circuit synthesis. Dr. Elamien has published extensively in top-tier journals like IEEE Transactions on VLSI Systems and IEEE Transactions on Microwave Theory and Techniques , focusing on topics such as all-pass filters , low-power oscillators , and AI-driven circuit design . His articles often address challenges in high-frequency communication systems and noise reduction . Awards: Alberta Innovates Graduate Student Award (2020 – Technology Category) Alberta Graduate Excellence Scholarship (2019–2020) 2022 Schulich School of Engineering Graduate Student Research Excellence Award He currently teaches ELECENG 2CJ4: Circuits and Systems and ELECENG 3TP3: Signals and Systems , emphasizing advanced circuit analysis and systems theory. His lab explores next-generation circuit architectures for energy-efficient and biomedical applications.

• Mechanical Engineering
• Materials Science
• High Strain Rate Behavior
• +۵ مورد دیگر

Alper Taşdemirci is a Professor in the Department of Mechanical Engineering at Izmir Institute of Technology (IYTE). His primary research focuses on high strain rate mechanics, material deformation, energy absorption in structural materials, and computational modeling. He has conducted extensive studies on composite materials, metallic foams, and bio-inspired designs, with a strong emphasis on dynamic loading conditions and finite element analysis. Education: B.S. in Mechanical Engineering, Erciyes Üniversitesi M.S. in Mechanical Engineering, Erciyes Üniversitesi PhD in Mechanical Engineering, University of Delaware Research Interests: High strain rate behavior of materials Energy absorption mechanisms in structural components Dynamic material testing (e.g., Split Hopkinson Pressure Bar) Composite and metallic material design for impact applications Numerical modeling with LS-DYNA Publications: His recent works explore bio-inspired metallic structures, additive manufacturing of composites, and the dynamic compression of syntactic foams. Key themes include strain rate effects, material characterization under impact, and the development of constitutive models for advanced materials. Awards and Honors: No specific awards mentioned in the text. Grants and Advising: No explicit details on grants or advisees provided in the text.

Srikanthan Rameshمشاهده پروفایل

استادیار

• Biological Additive Manufacturing
• Micro-scale Additive Manufacturing
• Biomaterial Development
• +۷ مورد دیگر

Dr. Srikanthan Ramesh serves as an Assistant Professor in the School of Industrial Engineering and Management within Oklahoma State University's College of Engineering, Architecture and Technology. Since establishing the Advanced Materials and Additive Manufacturing Laboratory in August 2022, he has led interdisciplinary research at the intersection of materials science, physical phenomena, and advanced manufacturing technologies, with applications spanning healthcare, aerospace, and electronics sectors. His educational foundation includes a Ph.D. in Mechanical and Industrial Engineering from Rochester Institute of Technology (2022) and an M.S. in Industrial and Manufacturing Systems Engineering from Iowa State University (2017). This academic background enables his innovative approach to manufacturing science. Dr. Ramesh's research program focuses on biological and micro-scale additive manufacturing (bio-AM), specializing in biomaterial development for tissue engineering and regenerative medicine. His work integrates computational fluid dynamics, machine learning, and real-time process monitoring to achieve precise control over mechanical, biological, and electrical properties of manufactured structures. He develops experimental tools and process frameworks for droplet-based and extrusion-based AM systems, with particular emphasis on wound healing applications and space-compatible microelectronics. Analysis of his 14 publications from 2020-2025 reveals a strong trajectory toward AI-driven manufacturing solutions, with increasing emphasis on multi-objective Bayesian optimization for bioink design, aerosol jet printing process refinement, and bioprinted tissue construct development. His recent work demonstrates sophisticated integration of machine learning with physical manufacturing processes to solve complex biomedical challenges. His scientific recognition includes: Doctoral Dissertation Pitch Competition (Runner-up), IISE, 2021 Best Oral Presentation, Graduate Showcase, Rochester Institute of Technology, 2019 Gilbreth Memorial Fellowship, IISE, 2018-2019 Wakonse College Teaching Fellowship, Iowa State University, 2018-2019 Graduate Research Excellence Award, Iowa State University, 2017 Best Overall Oral Presentation, Nano@IAstate, Iowa State University, 2017 Dr. Ramesh currently leads significant research initiatives including as Principal Investigator for an NSF REU Site on Additive Manufacturing and Cybersecurity ($464,606, 2025-2028) and a NASA EPSCoR Travel Grant for aerosol jet printing in space missions (2024-2025). As Co-PI on an NSF grant for Privacy-aware Collaborative Design in additive biofabrication ($599,981, 2025-2028), he develops frameworks for mass personalization in medical applications while addressing data security challenges. These projects support his lab's mission to advance manufacturing science through rigorous experimentation and computational innovation. The Advanced Materials and Additive Manufacturing Laboratory operates as a collaborative hub where Dr. Ramesh directs research teams in developing novel biomaterials, optimizing printing processes, and creating functional prototypes for wound dressings, liver tissue models, and space-rated microelectronics. The lab's interdisciplinary approach combines expertise in materials characterization, computational modeling, and machine learning to push the boundaries of what's possible in additive manufacturing for critical applications.

João Marques Garciaمشاهده پروفایل

استادیار

• Cellular agriculture
• Cultivated meat
• Tissue engineering
• +۳ مورد دیگر

Dr. João Marques Garcia is an Assistant Professor at Wageningen University & Research's Bio Process Engineering department. Previously, he served as a Research Fellow at the European Space Agency (2022–2024), investigating cultivated meat for space missions. His expertise spans cellular agriculture, tissue engineering, and cultivated seafood production. Education: PhD in Regenerative Medicine (Utrecht University) MSc in Biomedical Engineering (University of Porto) His research focuses on advancing cultivated meat and seafood technologies, including octopus muscle cell line development, techno-economic modeling for cellular agriculture, and fish fat bioprocess optimization. He teaches courses such as MSc Research Practice in Bioprocess Engineering and Cultivated Meat and Seafood Production. No scientific awards or grant details are explicitly mentioned in the provided texts. He is involved in lab activities through the Bio Process Engineering subdivision.

• Materials Science
• Environmental Chemistry
• Nanotechnology
• +۳ مورد دیگر

Leonardo Marchese is a Full Professor at the Department of Science and Technological Innovation, Università degli Studi del Piemonte Orientale 'Amedeo Avogadro'. His research focuses on advanced materials for environmental and energy applications, particularly porous materials for gas storage, pollutant removal, and sensor development. He leads projects like ECOSTORE-H2 (2023-2025) targeting eco-friendly hydrogen storage and ECOH2STORE for sustainable porous materials. Key research interests include: Functionalized silica and mesoporous materials Nuclear Magnetic Resonance (NMR) characterization Environmental monitoring sensors Waste-derived materials (e.g., rice husk, insect chitin) Adsorption mechanisms for pollutants/metals Recent projects involve collaborations in: Hydrogen storage solutions Biodegradable polymers from insect larvae Efficient water purification systems 3D-printed porous structures Prominent contributions include over 370 publications (2025: 2 articles; 2024: 23; 2023: 14), with emphasis on material synthesis and applications in sustainability. No awards are explicitly listed, but his work aligns with UN SDGs for clean energy and responsible consumption.

• Cyber-Physical Systems
• Machine Learning
• Autonomous Systems
• +۵ مورد دیگر

Radu Grosu is a Professor at Technische Universität Wien (TU Wien), leading the Forschungsbereich Cyber-Physical Systems . His research focuses on Cyber-Physical Systems (CPS), Machine Learning, and autonomous robotics, with notable contributions to neural network architectures like Liquid Time-Constant Networks (LTC) and their applications in robotics and medical imaging. He is affiliated with the Network Lab and has supervised numerous PhD and Master's students, including Sebastian Michael Bittner, Daniel Scheuchenstuhl, and Sophie Neubauer. His work spans topics such as reinforcement learning, autonomous driving, and IoT ecosystems. Recent projects include developing robust AI systems for healthcare and robotics, such as tumor delineation using PET imaging and neuromorphic IoT architectures for smart villages. Grosu has published extensively on CPS, with over 146 contributions across peer-reviewed journals and conferences. His research emphasizes bridging theory and practice, addressing challenges in safety, scalability, and real-time control in autonomous systems. Key research interests include robotic perception, neural network robustness, and CPS/IoT integration. He has pioneered methods like DeepSTL for translating temporal logic requirements into neural network training objectives and developed frameworks like NimbleAI for neuromorphic sensing-processing systems. His team also explores distributed control algorithms for multi-agent systems, such as flocking drones and formation control using relative distance measurements. Recent work examines the generalization properties of deep filters in CNNs and quantum-classical reinforcement learning models for game AI. Grosu has advised over 20 students on topics ranging from deep learning in wafer defect analysis to bio-inspired neural circuits for auditable autonomy. His lab collaborates on interdisciplinary projects, such as applying AI to battery health estimation and prostate cancer diagnostics. He actively contributes to academic communities, editing special issues on AI in healthcare and CPS resilience, and has organized summer schools on CPS and IoT systems.

Susan Zhouمشاهده پروفایل

استاد

• Biosensors
• Bionanotechnology
• Microfluidics
• +۳ مورد دیگر

Susan Zhou is a Professor in the Department of Chemical Engineering at Worcester Polytechnic Institute (WPI). Her research focuses on biosensors, bionanotechnology, and microfluidics, with applications in healthcare and infectious disease detection. She teaches Advanced Chemical Processes and Fluid Mechanics, emphasizing project-based learning and global education. Education: MS in Chemical Engineering, Clarkson University, 1999 PhD in Chemical Engineering, University of California, Irvine, 2002 Research Interests: Dr. Zhou's team develops biosensors using microfabrication and nanotechnology, targeting applications in healthcare diagnostics. Key areas include electrochemical (EC), surface plasmon resonance (SPR), and surface-enhanced Raman spectroscopy (SERS) technologies. Recent work includes portable biosensors for viral infections like COVID-19 and durable electrocatalysts for fuel cells. Professional Highlights: Recipient of WPI's Faculty Promotion and Tenure Award (2021) Contributed to WPI's record research funding milestone (2018) Co-developed a biosensor for Clostridium difficile detection featured in the Worcester Business Journal Labs/Teams: Leads research on bio-nanotechnology and electrochemical systems, collaborating with industry and academic partners. Active in mentoring undergraduate and graduate students in interdisciplinary projects.

Ashwani Guptaمشاهده پروفایل

استاد

• Combustion
• Fuel Sprays
• Pyrolysis
• +۵ مورد دیگر

Ashwani Gupta is a distinguished University Professor of Mechanical Engineering at the University of Maryland. His research focuses on combustion science, pyrolysis, and waste-to-energy technologies. Key areas include swirl flows, fuel sprays, high-temperature combustion, and environmental pollution mitigation. He has pioneered studies on catalytic pyrolysis of biomass/plastics and CO2-assisted gasification. Education details are not explicitly stated, but his academic role suggests advanced qualifications in mechanical engineering. Research interests span thermal sciences, renewable energy, and sustainable processes. Over 50 peer-reviewed articles (2022–2024) highlight work on co-pyrolysis of biomass/plastics, hydrogen-enriched combustion, and distributed combustion regimes. Notable contributions include thermal barrier coating advancements and wastewater toxicity studies in Pisum sativum. Publications frequently address synergistic effects in thermochemical processes, waste valorization, and energy recovery from expired food/industrial waste. His work integrates experimental and computational methods, with applications in micro-combustor design and carbon-neutral technologies. No listed awards, but his high citation count reflects academic impact. Advising and grants details are not provided. Research teams likely focus on combustion dynamics and environmental engineering. Active in interdisciplinary projects, including clinical trials on yoga for diabetes prevention and Ayurvedic dietary interventions.

Shaohui Foongمشاهده پروفایل

دانشیار

• Robotics
• Aerospace Engineering
• Control Systems
• +۴ مورد دیگر

Shaohui Foong is an Associate Professor in the Engineering Product Development (EPD) pillar at Singapore University of Technology and Design (SUTD). He previously served as a Visiting Assistant Professor at MIT's Department of Mechanical Engineering (2011). His research focuses on innovative robotics and UAV systems, medical technology, and design-centric pedagogy. Core projects include magnetic localization for medical devices, nature-inspired aerial robotics (e.g., THOR hybrid UAV), and competitive engineering design activities like Designettes. Research interests span biomimetic flight systems, autonomous navigation, and interdisciplinary educational frameworks. Notable innovations include the Transformable HOvering Rotorcraft (THOR), which merges fixed-wing and rotor-wing capabilities, and magnetic localization for nasogastric tube tracking. His work emphasizes practical applications in healthcare, infrastructure inspection, and environmental monitoring. Teaching emphasizes ethical engineering practice and hands-on design. He actively mentors students across PhD, master’s, and undergraduate levels, offering research opportunities in robotics, control systems, and medical technology. Collaborative projects with industry and academic partners are encouraged, with a focus on sustainability and technological innovation. Current research trends reflect a blend of bio-inspired design, advanced control algorithms, and cross-disciplinary problem-solving. Recent publications highlight advancements in monocopter dynamics, hybrid UAV architectures, and sensor integration for medical and industrial applications.