جست‌وجوی استاد و پژوهشگر

Binata Joddarمشاهده پروفایل

دانشیار

• Biomaterials Engineering
• Stem-Cell-Based Tissue Engineering
• 3D Bioprinting
• +۵ مورد دیگر

Dr. Binata Joddar is an Associate Professor in the Department of Chemical, Biological, and Environmental Engineering at Oregon State University (OSU), within the College of Engineering. She previously held positions at the University of Texas at El Paso (UTEP), including Associate Professor (2020–2024) and Assistant Professor (2014–2020). Her postdoctoral research included cardiovascular biology at The Ohio State University and stem cell studies at RIKEN, Japan. Dr. Joddar holds a Ph.D. in Bioengineering from Clemson University (2006), an M.S. in Biomedical Engineering from Jadavpur University (2001), and a B.S. in Pharmaceutical Science from Savitribai Phule Pune University (1999). Her research focuses on biomaterials, stem-cell-based tissue engineering, and 3D bioprinting applications in cardiovascular disease, neuronal regeneration, and cellular agriculture. She has pioneered projects like 3D-printed microelectrode arrays for microgravity studies and bioprinted cardiac models. Her work aligns with grants from NIH, NSF, and NASA, and she holds patents for photoreactive collagen peptides and electrospun scaffolds. Dr. Joddar’s research trends emphasize microfluidic platforms, cardiac organoids under microgravity, and diabetes modeling. Her articles reflect advancements in bioprinting technologies, scaffold design, and disease-specific tissue modeling. Awards: El Paso Community Foundation Award (2024), TAMEST Protégé (AI/ML), NIH Mentor Award (2020), and multiple fellowships. Grants/Advising: Secured NIH/NSF/NASA funding; mentored underrepresented students in STEM. She leads the Inspired Materials & Stem-Cell Based Tissue Engineering Laboratory (IMSTEL) at OSU, advancing regenerative medicine and sustainable cellular agriculture. Her editorial roles include Associate Editor for Bioprinting and peer review for NIH/NSF/AHA.

Michael T. LeVasseurمشاهده پروفایل

عضو هیئت علمی

• Epidemiology
• Health Disparities
• HIV/AIDS Research
• +۴ مورد دیگر

Michael T. LeVasseur is an Assistant Teaching Professor of Epidemiology at Drexel University's Dornsife School of Public Health . He holds a PhD in Epidemiology from Drexel, an MPH in Epidemiology & Biostatistics from CUNY Hunter College, and a BA from Sarah Lawrence College. His research focuses on HIV health disparities among sexual and gender minorities, intersections of data science with public health, and evidence-based interventions for infectious diseases. LeVasseur's work spans epidemiological studies on beverage taxation policies, HIV prevention strategies (e.g., PrEP), and data linkage for occupational safety. He has contributed to high-impact journals like the American Journal of Preventive Medicine and Health Affairs , analyzing policy impacts and behavioral patterns. His research emphasizes both quantitative methods and real-world health equity outcomes. Notable projects include leading analyses of Philadelphia’s beverage tax effects on consumer behavior and independent retailers, and modeling HIV risk reduction among men who have sex with men. Collaborations with institutions like the University of Pennsylvania and Johns Hopkins demonstrate his interdisciplinary approach to public health challenges.

Aparna Baskaranمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Soft Matter Physics
• Active Matter
• +۳ مورد دیگر

Aparna Baskaran is an Associate Professor of Physics at the Martin A. Fisher School of Physics, Brandeis University. She holds a PhD from the University of Florida (2006) and an MS from the Raman School of Physics, Pondicherry University. Her research focuses on nonequilibrium statistical mechanics of soft materials, active matter, and biological systems. She has been recognized with awards including the 2019 Early Career Award in Soft Matter Research from the American Physical Society and the Jeanette Lerman-Neubauer Prize for Excellence in Teaching. Her work explores emergent phenomena in active fluids, granular materials, and self-propelled particles, combining theoretical, computational, and experimental approaches. Key contributions include studies on active nematics, phase transitions in active systems, and the dynamics of confined active particles. She has advised numerous PhD students and postdoctoral researchers, advancing understanding of soft matter physics and biological systems. Baskaran leads the Baskaran Group, funded by NSF, MRSEC, and the Binational Science Foundation. Her research spans topics like active nematic hydrodynamics, defect dynamics, and the design of active materials. She has published extensively in journals like Physical Review Letters , Nature Communications , and Soft Matter .

Ayesha Saleemمشاهده پروفایل

دانشیار

• Molecular Physiology
• Mitochondrial Metabolism
• Extracellular Vesicle Biology
• +۴ مورد دیگر

Dr. Ayesha Saleem is an Associate Professor in the Faculty of Kinesiology and Recreation Management at the University of Manitoba and a Principal Investigator at the Children’s Hospital Research Institute of Manitoba (CHRIM). Her research focuses on molecular and cellular physiology, particularly mitochondrial metabolism and extracellular vesicle biology, with an emphasis on leveraging exercise-derived therapies to combat aging and chronic conditions like obesity, diabetes, and cancer. She holds grants from SSHRC, Research Manitoba, and CHRIM. Education: PhD in Molecular, Cellular & Integrative Physiology (York University, 2013) MSc in Kinesiology (York University, 2008) BSc (Honours) in Kinesiology & Health Science (York University, 2005) Postdoctoral Fellowship in Pediatrics (McMaster University, 2016) Research Interests: Dr. Saleem’s work explores the molecular mechanisms of cellular communication via extracellular vesicles, particularly how exercise-induced signaling factors influence metabolic health. Her lab investigates the therapeutic potential of exosomes in treating metabolic disorders and age-related diseases. Key areas include mitochondrial dysfunction, energy metabolism, and the cross-talk between muscle and other tissues. Grants and Funding: SSHRC New Frontiers in Research Fund Research Manitoba University of Manitoba CHRIM Labs and Teams: The Extracellular Vesicles and Exercise Lab focuses on deciphering how EVs mediate cellular communication and their role in disease prevention. Current projects include exosome-based therapies for muscular dystrophy and metabolic diseases.

Ala'a Al-Habashnaمشاهده پروفایل

استاد مدعو

• Wireless Communication Networks
• 5G/6G Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Ala'a Al-Habashna is an Adjunct Professor at Carleton University's School of Computer Science within the Faculty of Engineering and Design. He holds a PhD from Carleton University and focuses on advanced wireless communication systems, 5G/6G networks, machine learning applications, and discrete-event simulation. His research integrates AI-driven solutions for network optimization, spectrum management, and smart urban infrastructure analysis. Education: PhD in Computer Science, Carleton University Research Interests: 5G/6G Networks, Machine Learning for Communications, Cognitive Radio Systems, IoT Integration, and Urban Modeling via Computer Vision Focus on resource allocation algorithms, channel modeling, and AI-driven network architectures Key Article Trends: Recent work emphasizes AI integration in next-gen networks (e.g., RIS-assisted MIMO, GenAI-6G), 5G energy efficiency, and urban analytics using street-view imagery. Earlier contributions include DEVS-based simulation frameworks for fire modeling and D2D video streaming optimization. Collaborations & Funding: Active partnerships include Ericsson Canada for projects like Channel Reconstruction for LTE/NR and Spectrum Sharing with Machine Learning . A funded PhD position is available in Wireless Communication and 5G Networks requiring expertise in Mathematical Optimization. Labs & Teams: Engaged in Ericsson-Carleton Partnership initiatives and leads interdisciplinary teams addressing 6G challenges. Research leverages Carleton's advanced wireless and AI facilities.

• Epigenetics
• DNA Methylation
• Molecular Biology
• +۳ مورد دیگر

Pavel Bashtrykov is a Researcher at the University of Stuttgart's Institute of Biochemistry and Technical Biochemistry, part of the Faculty of Chemistry. His work focuses on epigenetic mechanisms, DNA methylation, and histone modifications. He contributes to interdisciplinary research projects such as the Collaborative Research Center (SFB) 1333 on catalysis in confined geometries. His research integrates biochemistry, molecular biology, and advanced analytical techniques to elucidate epigenetic regulation and its implications in health and disease. Key research interests include allele-specific epigenome editing, DNA methyltransferase specificity, and the interplay between histone modifications and DNA methylation. His studies often involve cutting-edge tools like CRISPR/dCas9 systems and fluorescent biosensors for locus-specific analysis. Recent work addresses oncogenic TERT promoter mutations and their epigenetic targeting, as well as the role of adherens junctions in modulating DNA methylation patterns. Bashtrykov collaborates on EU-funded projects and leverages computational models to inform molecular design. His contributions span basic science to translational applications, including epigenetic therapies and biomarker discovery.

Nicolai Langمشاهده پروفایل

پژوهشگر ارشد

• Quantum Matter
• Topological States of Matter
• Quantum Computing
• +۵ مورد دیگر

Nicolai Lang is a Research Fellow at the University of Stuttgart's Institute of Theoretical Physics III. He holds a Dr. rer. nat. (PhD) in Physics from the University of Stuttgart (2013-2019), preceded by a BSc (2008-2011) and MSc (2011-2013) in Physics from the same institution. His research focuses on quantum many-body systems, topological phases of matter, and quantum error correction, with particular emphasis on Rydberg atoms and entanglement transitions. Lang has received several accolades, including the Arthur-Fischer Award (2014) for his master’s thesis and the Wilhelm and Else Heraeus Award (2020) for his PhD work. In 2024, he was honored with the University of Stuttgart Teaching Award for his lectures on relativity. His research explores topics such as symmetry-protected topological phases, monitored quantum circuits, and fractional Chern insulators. Education : BSc Physics, University of Stuttgart (2008–2011) MSc Physics, University of Stuttgart (2011–2013) Dr. rer. nat. (PhD) in Theoretical Physics, University of Stuttgart (2013–2019) Key Research Themes : Topological quantum states and their experimental realizations Entanglement dynamics in quantum many-body systems Quantum error correction via symmetry-constrained models Rydberg atom-based quantum simulators Teaching : Lectures: Quantum Field Theory, Relativity, Topological Phases of Matter Tutorials on Mathematical Methods, Quantum Mechanics, and Experimental Physics His publications span theoretical advancements and experimental proposals, including seminal work on symmetry-protected topological phases observed in Rydberg atom arrays and entanglement transitions in projective quantum measurements. Lang collaborates actively with experimental groups, bridging theoretical insights with cutting-edge quantum technologies.

Eric Libbyمشاهده پروفایل

دانشیار

• Evolutionary Biology
• Mathematical Modeling
• Complex Systems
• +۲ مورد دیگر

Eric Libby is an Associate Professor at Umeå University's Department of Mathematics and Mathematical Statistics, affiliated with the interdisciplinary IceLab research center. His research investigates the evolution of biological complexity through mathematical modeling, focusing on origins of multicellularity, endosymbiosis, and organizational scaling across biological systems. Research examines fundamental transitions in evolutionary history using computational approaches. Key areas include: Evolutionary trajectories between unicellular and multicellular states Endosymbiotic associations and metabolic integration Syntrophic microbial communities and resource exchange Evolutionary significance of phenotypic bet-hedging Research has received support from multiple prestigious sources including the Swedish Research Council, NASA Astrobiology Program, and National Science Foundation. Current projects explore evolutionary constraints in complex systems and agnostic biosignature detection. As head of the Mathematical Biology group, Libby advises doctoral candidates including Oleksandr Cherednichenko (machine learning applications in microbial recognition) and Defne Plattürk (differential equation modeling). The research group develops methodologies for studying biological complexity across scales.

• Operating Systems
• Fault Tolerance
• Cyber-Physical Systems
• +۵ مورد دیگر

Marcus Völp is an Associate Professor and head of the CritiX research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on ultra-reliable operating systems, fault and intrusion tolerant systems for cyber-physical environments, and hierarchical hybridization techniques to construct resilient computing platforms. His work bridges theoretical foundations with practical implementations, particularly in developing dependable systems-on-chip that can withstand faults and intrusions. Research spans formal verification methods, radiation-hardened hardware, blockchain security, and autonomous vehicle safety systems. Recent publications demonstrate advancement in parameterized system verification, radiation effects on routers, and N-version machine learning for autonomous systems. His group maintains strong focus on practical resilience mechanisms for real-time and critical systems across computing layers.

Ami E. Radunskayaمشاهده پروفایل

استاد

• Dynamical Systems
• Stochastic Processes
• Mathematical Modeling of Tumor Growth and Treatment
• +۳ مورد دیگر

Ami E. Radunskaya is the Lingurn H. Burkhead Professor of Mathematics at Pomona College, part of The Claremont Colleges. She specializes in dynamical systems, stochastic processes, and mathematical modeling with applications to tumor growth, power systems, and musical instrument design. Her work bridges pure mathematics and real-world problems in medicine and engineering. She is a leader in promoting diversity in mathematics through her roles as President of the EDGE Foundation and former President of the Association for Women in Mathematics (AWM). Radunskaya earned her PhD from Stanford University and a BA from UC Berkeley. She teaches courses in calculus, differential equations, and probability. Her research focuses on applying mathematical models to understand complex biological and physical systems, including cancer treatment dynamics and power grid stability. Research Highlights: Developed models for tumor-immune interactions and drug release kinetics in pharmaceutical systems Conducted pioneering work on non-linear power system stability using dynamical systems theory Advances in stochastic processes applied to biomedical and engineering contexts Awards & Recognition: Fellow of the American Mathematical Society (2017) Pomona College Wig Distinguished Professor Award (2012) Stanford University Alfred Gores Award for Teaching Excellence (1991) As co-director of the EDGE program, she has mentored hundreds of women mathematicians, particularly from underrepresented groups, supporting their academic and professional development. Her leadership in AWM emphasizes building inclusive communities across mathematical disciplines.

Mahdi Daghmehchi Firoozjaeiمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• Blockchain
• +۴ مورد دیگر

Dr. Mahdi Daghmehchi Firoozjaei is an Assistant Professor in the Department of Computer Science at MacEwan University, Edmonton, Canada. Previously, he held roles as an Assistant Professor at the University of Windsor and a Postdoctoral Research Fellow at the Canadian Institute for Cybersecurity (CIC). He earned a Ph.D. in Computer Engineering from Sungkyunkwan University, Korea, and has a decade of industry experience in cybersecurity, including leadership in OT forensics and IoT blockchain projects. Education: Ph.D. in Computer Engineering, Sungkyunkwan University (2014-2018) MSc in Telecommunication-Cryptology, Tehran, Iran (2000-2003) BSc in Telecommunication Engineering, Tehran, Iran (1996-2000) Research Interests: Cybersecurity, network security, blockchain, digital forensics, malware analysis, privacy-preserving techniques, and Industrial IoT (IIoT) security. His current projects include designing forensics-based mechanisms against IIoT malware and developing trust engineering models for multi-cloud environments. Notable Awards: Best Researcher Award-2023 (SFConferences) Best Paper Award (AINA-2015) SKKU Superior Research Award 2017 (runner-up) SKKU Scholarship for Outstanding International Students (2014-2018) Teaching: Courses include Computer System Security, Networking and Data Security, and Algorithm and Data Structures at MacEwan University. Previously taught advanced computing and computer architecture at the University of Windsor.

Brunilde Sansoمشاهده پروفایل

استاد

• Telecommunication Networks
• Computer Networks
• IoT (Internet of Things)
• +۷ مورد دیگر

Brunilde Sanso is a Full Professor in the Department of Electrical Engineering at Polytechnique Montréal. She holds an Eng. (USB) from Caracas, M.Sc.A., and a Ph.D. from Polytechnique Montréal. Her research focuses on telecommunication and computer networks optimization, emphasizing performance, reliability, energy efficiency, and sustainability. Key technologies include IP, IoT, 4G/5G, and SDN, with applications in smart cities and cloud computing. She leads LORLAB and is a member of GERAD and IVADO. Teaching includes courses on telecommunication networks, data networks, and smart-grid telecommunications. Over 37 students (Ph.D. and Master's) have been supervised, contributing to infrastructure sharing, energy-efficient networks, and IoT simulations. Media engagements highlight her expertise on network resilience during emergencies and 5G technology challenges.

Mriganka Surمشاهده پروفایل

استاد

• Neuroscience
• Cortical Circuits
• Synaptic Plasticity
• +۴ مورد دیگر

Dr. Mriganka Sur is the Newton Professor of Neuroscience and Director of the Simons Center for the Social Brain at MIT. He previously served as head of the MIT Department of Brain and Cognitive Sciences for 15 years. His research focuses on the organization, plasticity, and dynamics of the cerebral cortex, employing experimental and theoretical approaches. Key areas include synaptic plasticity mechanisms, cortical circuit development, and neurodevelopmental disorders like Rett syndrome. His lab pioneered imaging techniques to study intact brain circuits and identified gene networks underlying cortical plasticity. Education: B.Tech. in Electrical Engineering from the Indian Institute of Technology, Kanpur (1978), and PhD in Electrical Engineering from Vanderbilt University (1983). Research interests span cortical circuit dynamics, neuromodulation (e.g., noradrenaline signaling), astrocyte-neuron interactions, and translational strategies for neurodevelopmental disorders. Recent work includes discoveries on astrocyte roles in synaptic refinement and the therapeutic potential of IGF-1 for Rett syndrome. Major awards include the Krieg Cortical Discoverer Prize, Royal Society Fellowship, and multiple NIH grants. He has mentored over 80 doctoral students and postdoctoral fellows, recognized for teaching and mentoring excellence. His lab is funded by NIH BRAIN Initiative, Simons Foundation, and other institutions. Labs/Teams: Sur Lab (MIT) focuses on cortical circuits and Rett syndrome mechanisms. He directs the Simons Center for the Social Brain, advancing social neuroscience research.

Ivan Minevمشاهده پروفایل

استاد

• Bioelectronic Medicine
• Biomedical Engineering
• Neural Interfaces
• +۴ مورد دیگر

Professor Ivan Minev is a Professor of 'Electronic Tissue Technologies' at the Else Kröner Fresenius Center for Digital Health, part of the Medical Faculty at Technische Universität Dresden since 2023. He also heads a research department at the Leibniz Institute for Polymer Research Dresden. Previously, he held a visiting professorship in Intelligent Healthcare Technologies at the Automatic Control and Systems Engineering Department, University of Sheffield (2019–2023). He earned his PhD in 'Soft Neural Interfaces' from the University of Cambridge in 2012. His research focuses on bioelectronic interfaces, combining 3D printing and soft conductive materials to create implantable, wearable, and cell culture devices. His work aims to record biopotentials from neural, muscular, and cellular systems, leveraging machine learning and signal processing to extract diagnostic biomarkers or control signals for neuroprostheses. Collaborations with Sheffield’s School of Electrical and Electronic Engineering (SoEEE) aim to analyze experimental datasets for advanced data interpretation. Research interests include multi-modal neuromodulation, bioelectronic implants, and the development of hydrogels and 3D printing technologies for biomedical applications. He leads the ERC-funded IntegraBrain project, exploring multi-modal sensor-actuator networks for neural communication and treatment of neuropsychiatric disorders. Key honors include the Volkswagen Foundation Freigeist Fellowship (2017–2021) and an ERC Starting Grant (2019–2024). His work bridges materials science, biomedical engineering, and clinical applications, with grants totaling over €2.4 million.

Brian Neil Levineمشاهده پروفایل

استاد

• Child Rescue
• Digital Forensics
• Networking Security
• +۶ مورد دیگر

Brian Neil Levine is a Distinguished Professor of Computer Science and Director of the UMass Amherst Cybersecurity Institute. He joined the Manning College of Information and Computer Sciences in 1999 and was promoted to Professor in 2010. His research focuses on cybersecurity, digital forensics, and child rescue, with significant contributions to thwarting online child exploitation. Levine's work has been supported by the Department of Justice, NSF, and Oak Foundation, leading to tools like RoundUp that have rescued hundreds of children globally. Education: PhD (1999), MS (1996) in Computer Engineering from UC Santa Cruz; BS from University at Albany (1994). Research Interests: Combats child sexual exploitation through digital forensics and network security. Key areas include blockchain analysis, peer-to-peer networks, mobile computing, and privacy-preserving technologies. His lab’s tools are used by law enforcement agencies worldwide. Notable Achievements: ACM Fellow (2020), NSF CAREER Award (2002), and the 2017 IEEE INFOCOM Test of Time Award. He has published over 90 papers and holds $12M+ in research grants. Service: Founded the New England Security Day, co-chaired ACM MobiCom 2011, and served on editorial boards for journals like IEEE Transactions on Networking. Active in policy advising, including testimony to the U.S. Sentencing Commission. Labs/Teams: Leads the UMass Rescue Lab and co-directs the UMass Data Core. Collaborates with ICAC Task Forces and federal agencies.