جستجوی استاد راهنمای دانشگاهی

Kaliramesh Siliveruمشاهده پروفایل

دانشیار

• Grain Processing and Milling
• Food Safety
• Process Modeling and Simulation
• +۷ مورد دیگر

Kaliramesh (Kali) Siliveru is an Associate Professor and University Outstanding Scholar in the Department of Grain Science and Industry at Kansas State University. His work focuses on grain processing, food safety, and process modeling , with expertise in milling technologies, particle mechanics, and material handling. He holds a B.S. in Food Science from Acharya N.G Ranga Agricultural University, India, and a Ph.D. in Grain Science from Kansas State University. Dr. Siliveru’s research has produced 75+ peer-reviewed articles, 13 book chapters , and impactful studies on reducing microbial contamination in wheat-based products, optimizing pulse processing, and advancing nonthermal technologies like cold plasma. He has received prestigious awards including the ASABE Early Career Engineer of the Year and the University Distinguished Faculty Award for undergraduate mentoring. He teaches GRSC 310 (Materials Handling) , GRSC 810 (Particle Technology) , and GRSC 840 (Advanced Grain Processing) . His lab affiliations include the BIVAP Feed Quality Assurance Lab and Hal Ross Flour Mill, where he explores milling efficiency, microbial control, and sustainable food processing . Current projects address novel applications for minor millets and engineering solutions for safe, nutritious food production.

M.Z. Naserمشاهده پروفایل

استادیار

• Machine Learning
• Structural Engineering
• Fire Engineering
• +۵ مورد دیگر

Dr. M.Z. Naser is an Assistant Professor in the Glenn Department of Civil Engineering at Clemson University. His research focuses on causal and explainable machine learning methodologies applied to structural engineering, materials science, and fire safety. He holds a PhD from Michigan State University and an M.S. from the American University of Sharjah. Naser teaches courses such as Machine Learning for Civil Engineers and Structural Fire Engineering, emphasizing interdisciplinary innovation. His work bridges data-driven analysis with domain-specific knowledge to address challenges in resilient infrastructure design, including fire-resistant materials, structural retrofits, and AI-driven decision-making. Education: PhD, Michigan State University; M.S., American University of Sharjah Research Themes: Explainable AI, Fire Engineering, Structural Materials, Causal Inference Key Projects: Developing SPINEX framework, wildfire classification models, and cognitive infrastructure systems Recent publications analyze over 1000 fire tests to uncover spalling mechanisms, explore synthetic fire tests via GANs, and benchmark automated ML platforms. His work on causal diagrams for civil engineers and firefighter algorithms highlights contributions to both theory and practical applications. Naser also advocates for integrating AI into engineering education, emphasizing ethical and transparent model deployment.

Md S Hossainمشاهده پروفایل

استاد

• Sustainable Waste Management
• Bioreactor Landfill Technology
• Landfill Gas to Energy
• +۵ مورد دیگر

Dr. Md S Hossain is a Professor of Civil Engineering at The University of Texas at Arlington, directing the Solid Waste Institute for Sustainability (SWIS). He holds a B.S. from IIT Bombay, an M.E. from AIT Bangkok, and a Ph.D. from North Carolina State University. His research focuses on sustainable waste management, bioreactor landfills, geotechnical engineering, and slope stabilization, with notable contributions to landfill gas-to-energy and recycled materials utilization. He has over 6 years of professional experience in geotechnical and geoenvironmental projects globally. Research Interests: Sustainable waste management, landfill engineering, slope stabilization, recycled materials, geotechnical site investigations. Key Roles: Director of SWIS, Principal Investigator on numerous grants, and advisor to over 50 graduate students. Dr. Hossain has secured millions in grants from agencies like NSF, EPA, and TxDOT, focusing on waste-to-energy, landfill mining, and slope stabilization using recycled plastics. His awards include the ISWA Leadership Award and Distinguished AIT Alumni recognition. He actively collaborates with international organizations like CCAC and ISWA, advocating for sustainable waste solutions in developing countries. His work spans 50+ projects in Bangladesh, Singapore, Hong Kong, and the U.S., emphasizing practical applications like recycled plastic pins for slope stabilization and ET cover systems for landfills. SWIS, under his leadership, promotes global sustainable waste management through education, research, and policy advocacy.

Mojgan A. Jadidiمشاهده پروفایل

دانشیار

• Geospatial Visual Analytics
• Building Information Modeling (BIM)
• 3D GIS Integration
• +۵ مورد دیگر

Dr. Mojgan A. Jadidi serves as Associate Professor in the Teaching Stream and Director of Common Engineering & BSc Science within the Department of Civil Engineering at York University's Lassonde School of Engineering. A Professional Engineer (P.Eng) and founder of the GeoVA Lab, she leads research at the intersection of geospatial analytics, digital infrastructure, and innovative engineering education aligned with UN Sustainable Development Goals. Education: PhD in Geomatics, Université Laval (2014) MSc in Earthquake and Seismology Engineering, ROSE Center (Italy) & Université Joseph Fourier (France) BSc in Civil-Survey Engineering, Iranian University of Science and Technology Research Focus: Her pioneering work in Geospatial Visual Analytics spans 2D/3D environments, Building Information Modeling (BIM) and 3D GIS integration, and Spatial Quantum Computing applications for smart cities. She develops Infrastructure Digital Twins using sensor data fusion while revolutionizing engineering education through gamification and augmented/virtual reality pedagogies that transform complex spatial concepts into immersive learning experiences. Research Trends: Recent publications (2021-2023) demonstrate convergent innovation across three domains: (1) Building energy optimization through BIM-graph analytics, (2) Transportation safety via AI-driven situational awareness, and (3) Educational technology using VR sandboxes and visual-verbal comics. These works consistently integrate quantum computing principles and UN SDG frameworks to solve urban sustainability challenges. Scientific Recognition: ASEE Zone III Best Paper Award (2023) ASEE Saint Lawrence Best Research Paper & Poster (2022) 3D GeoInfo Conference Best Paper (2018) NSERC Postdoctoral Fellowship (2016) ESRI Student Award (2011) Erasmus Mundus Scholarship (2006) Research Leadership: As Associate Director of York's ESRI Center of Excellence, she manages multi-source funding from NSERC, Mitacs, and York University internal grants. Her professional service spans global organizations including ISPRS Commission IV (Secretary), IEEE Women in Engineering (Member), PEO Etobicoke (Chair), and buildingSMART Canada (Committee Member), driving standards for BIM and digital twin implementation in urban infrastructure. Lab Innovation: The GeoVA Lab develops cutting-edge tools including the TopoSurvey Game for immersive surveying education, PAN-Lassonde XR Sandbox for virtual lab experiences, and quantum computing frameworks for bike-sharing optimization, establishing new paradigms in spatial data interaction and engineering pedagogy.

Yixing Suiمشاهده پروفایل

مدرس ارشد

• Biotechnology
• Microbial Physiology
• Environmental Engineering
• +۳ مورد دیگر

Dr Yixing Sui is a Senior Lecturer in Biotechnology at the School of Science, part of the Faculty of Engineering and Science at the University of Greenwich. He joined as a Research Fellow in Algal Biotechnology in 2019, became a Lecturer in 2023, and was promoted to Senior Lecturer in 2024. His research focuses on leveraging microalgae, particularly Dunaliella species, for nutritional protein production, bioproduct optimization, and sustainable resource recovery from wastewater. He holds a PhD in Bioscience Engineering from the University of Antwerp (201?), an MSc in Environmental Sciences from Wageningen University (2013), and a BEng in Environmental Engineering from Tianjin Chengjian University (2011). His work integrates environmental engineering, microbial physiology, and bioprocess optimization to address challenges in food security and circular economy. Dr Sui’s research interests include: Algal-based protein production for food and feed Wastewater-to-biomass conversion Light regime optimization for microalgal bioproducts Life cycle assessment of algal cultivation systems His recent publications (2019–2025) highlight advancements in: Co-production of protein and carotenoids in Dunaliella Light wavelength and intensity effects on biomass quality Wastewater utilization challenges and solutions Seaweed protein extraction technologies Dr Sui has no listed awards but has contributed to multiple interdisciplinary projects at the University of Greenwich. His advising and grant activities remain unspecified in available texts. He is affiliated with the Algal Biotechnology research group and collaborates with institutions globally, including the Netherlands Institute of Ecology (NIOO-KNAW).

Erik Schemeمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Machine Learning
• Neuroprosthetics
• +۵ مورد دیگر

Erik Scheme is an Associate Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), and serves as Associate Director of the Institute of Biomedical Engineering (IBME). He holds a PhD and is a Professional Engineer (PEng). His roles include advising the Dr. J. Herbert Smith Centre for Technology Management and Entrepreneurship, emphasizing innovation in biomedical technologies and healthcare systems. His research focuses on advanced human-machine interaction through biomedical engineering, with a strong emphasis on myoelectric prosthetics, wearable sensors, and machine learning applications. Key areas include improving neuroprosthetic control via incremental learning, gait analysis using underfoot pressure sensors, and developing robust EMG-based gesture recognition systems. His work bridges clinical needs with technological innovation, addressing challenges in rehabilitation, activity monitoring, and user-centric design. Recent publications highlight advancements in adaptive control systems, sensor fusion, and ethical data practices in healthcare. His contributions span both theoretical frameworks (e.g., self-supervised learning models) and applied technologies (e.g., gold-plated 3D-printed electrodes). Dr. Scheme collaborates across disciplines, integrating robotics, signal processing, and clinical validation to create impactful solutions. His lab, affiliated with IBME, actively explores emerging areas like exhaled breath analysis for disease detection and federated learning in healthcare data analytics.

Paul Leonardمشاهده پروفایل

دانشیار

• Biomolecular Interaction Analysis
• Single-Cell Analysis
• Biologics Discovery
• +۶ مورد دیگر

Assoc. Prof. Paul Leonard is an Associate Professor in Biotherapeutics at Dublin City University (DCU), leading the Biomedical Innovation Group (BIG) within the School of Biotechnology. His research focuses on biomolecular interaction analysis, single-cell technologies, and biologics discovery, addressing challenges in oncology, cardiovascular disease, and infectious disease diagnostics. He has 20+ years of academic and industry experience, co-founding Remedy Biologics Ltd and securing over €15M in funding. His entrepreneurial roles include CSO/CTO, Lean Six Sigma process improvements, and advisory work for life sciences companies. Research interests span high-throughput antibody discovery, immunoassay development, and environmental sensing. He collaborates with academia and industry, including projects like AquaBioSens for aquatic pollutant detection. His lab employs multidisciplinary teams and holds patents in biotechnology. Paul also serves as an external examiner for Technical University Dublin’s Biomedical Diagnostics program. Key achievements include technology spin-outs, patent filings, and leadership in EU-funded projects. His work bridges academic innovation with commercial applications, emphasizing rapid diagnostic tools and therapeutic advancements.

Jakub Kostalمشاهده پروفایل

دانشیار

• Computational Chemistry
• Green Chemistry
• Predictive Toxicology
• +۳ مورد دیگر

Jakub Kostal is an Associate Professor of Chemistry and Director of the MS Environmental and Green Chemistry Program at George Washington University. He leads the Kostal Research Group, focusing on computational chemistry, green chemistry, and predictive toxicology. His work aims to develop computer models to predict chemical toxicity and design safer, sustainable chemicals. Education: PhD from Yale University (2012), B.A. from Middlebury College (2006). He collaborates with the Lapkin Group at the University of Cambridge on sustainable process engineering using AI. His research team includes graduate students Jillian Brejnik, Diana Garnica Acevedo, and Geetesh Devineni. Research interests center on reducing chemical hazards through computational methods, including predicting environmental persistence, optimizing chemical reactions for sustainability, and advancing machine learning tools for toxicity prediction. His team’s contributions include refining models for pesticide safety and designing bio-based alternatives. Publications highlight advancements in quantum mechanics modeling, in silico toxicity prediction, and sustainable chemical design. He actively engages with policymakers, including speaking at the White House on sustainable chemistry strategies.

Marina Freire-Gormalyمشاهده پروفایل

استادیار

• Renewable Energy Systems
• Water Treatment Technologies
• Machine Learning Applications
• +۵ مورد دیگر

Marina Freire-Gormaly is an Assistant Professor in the Mechanical Engineering Department at York University's Lassonde School of Engineering. Her research focuses on renewable energy-powered water treatment systems, machine learning for smart design, advanced manufacturing, and sustainable engineering solutions for remote communities. She holds a PhD and M.A.Sc. from the University of Toronto, specializing in carbon capture and storage technologies. She has worked on nuclear energy projects at Ontario Power Generation and contributed to World Bank sustainability assessments. She currently chairs the Canadian Society of Mechanical Engineers' Student and Young Professional Affairs committee. Education: PhD in Mechanical Engineering, University of Toronto M.A.Sc. in Mechanical Engineering, University of Toronto Research Interests: She pioneers solar-powered reverse osmosis systems, energy recovery mechanisms, and IoT-driven smart systems. Her lab explores nanotechnology applications in environmental sustainability, including carbon capture and aquatic remediation. She integrates machine learning for optimizing energy-water nexus challenges in off-grid regions. Key Contributions: Developed models for membrane fouling in desalination systems, advanced pore network characterization for geologic CO2 storage, and designed automated renewable energy systems. Her work bridges engineering innovation with global sustainability goals. Grants & Collaborations: Engages with industries like Honda Canada and Trane Canada on sustainability initiatives. Supervises graduate students in emerging areas like nanobubble technology and direct air capture systems. Lab Activities: The Freire-Gormaly Lab focuses on clean energy-water systems, with current projects involving nano-technology for space applications (Canadian Space Agency collaboration) and life cycle assessments of carbon storage technologies.

• Software Engineering
• Video Game Development
• Artificial Intelligence for Software Engineering (AI4SE)
• +۴ مورد دیگر

Cristiano Politowski is an Assistant Professor in the Department of Computer Science at Ontario Tech University’s Faculty of Science. His research focuses on applying software engineering principles to video game development, with particular emphasis on software testing, artificial intelligence for software engineering (AI4SE), deep reinforcement learning, and empirical software engineering. Education includes a PhD in Computer Science and Software Engineering from Concordia University (2022), supervised by Professors Yann-Gaël Guéhéneuc and Fabio Petrillo. Prior to his current role, he held postdoctoral positions at Université de Montréal and École de Technologie Supérieure in Montréal, Canada. Research interests span game engine architecture analysis, automated testing methodologies for games, and bridging gaps between academic theory and industry practices in software engineering. His work often involves empirical studies on software quality, framework impacts, and event-driven systems. Publications reflect a focus on game development challenges, including studies on API compatibility, subsystem coupling visualization, and AI-driven game balance assessment. He actively contributes to the understanding of software processes in the video game industry through surveys and dataset curation initiatives like PlayMyData.

Simon Mooreمشاهده پروفایل

استاد

• Computer Architecture
• Computer Security
• Hardware Security
• +۳ مورد دیگر

Simon Moore is a Professor of Computer Engineering at the University of Cambridge's Department of Computer Science and Technology. He leads the Computer Architecture research group, focusing on secure processors and subsystems, particularly the CHERI project. His work emphasizes formal verification, hardware-software co-design, and scalable security solutions. He is a Fellow and Director of Studies at Trinity Hall, overseeing undergraduate admissions and mentoring in Computer Science. Research Interests: Moore's primary focus is the CHERI secure processor architecture, integrating RISC-V cores with formal verification. His work spans secure hardware design, memory safety, and embedded systems. Notable contributions include the CHERI-RISC-V microarchitecture, CheriABI, and formal verification frameworks. Key Projects: CHERI, CheriBSD, Morello (ARM collaboration) Recent Achievements: Test of Time Award (IEEE Security & Privacy 2025), finalist for Bhattacharyya Award (2022) Grants: Innovate UK Digital Security by Design, DARPA Mission Oriented Resilient Clouds Publications: Over 200 papers on secure architectures, including influential work on CHERI's capability model, formal verification, and hardware security. Recent focus areas include temporal memory safety, embedded system security, and GPU-based capability systems. Labs/Teams: Directs the Computer Architecture Group and collaborates with industry partners like ARM and Microsoft on CHERI implementations.

Bruce N. Walkerمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Auditory Displays
• Data Sonification
• +۷ مورد دیگر

Professor Bruce N. Walker holds a joint appointment in the School of Psychology and School of Interactive Computing at Georgia Institute of Technology, within the College of Sciences. His research focuses on human-centered technology design, emphasizing accessibility, auditory displays, and human-AI interaction. He leads the Sonification Lab, pioneering multimodal interfaces and inclusive technology solutions. He earned his Ph.D. in Human Factors and Human-Computer Interaction from Rice University in 2001. Research Interests: Trust in technology, accessible interfaces, sonification, AI-human collaboration, and HCI in non-traditional environments. Current projects include the AccessCORPS VIP initiative to enhance course accessibility and studies on automated vehicle interaction. Awards: Best Paper Award at AudioMostly 2014 for auditory weather reports research. Active in professional organizations like the International Community for Auditory Display and Human Factors and Ergonomics Society. Teaching: Courses include Research Methods for Human Factors, Sensation and Perception, and HCI Foundations. Supervises interdisciplinary teams in the Sonification Lab R&D Studio and AccessCORPS VIP. Labs/Teams: Sonification Lab (multimodal data exploration) and AccessCORPS (disability-inclusive course design). Collaborates on international projects like the Mwangaza initiative for learners with vision impairment in Kenya.

David S Kossonمشاهده پروفایل

استاد

• Nuclear Waste Management
• Environmental Remediation
• Leaching Assessment
• +۵ مورد دیگر

Dr. David S. Kosson is a distinguished faculty member at Vanderbilt University, holding the Gass Family Chair in Energy and the Environment. He serves as Professor of Civil and Environmental Engineering, Chemical and Biomolecular Engineering, and Earth and Environmental Sciences. As Director of the Consortium for Risk Evaluation with Stakeholder Participation (CRESP) and the Environmental Laboratory, he leads multidisciplinary research addressing nuclear waste management, environmental remediation, and policy. His work has established frameworks like the U.S. Leaching Environmental Assessment Framework (LEAF), impacting national waste management policies. Dr. Kosson earned his Ph.D., M.S., and B.S. in Chemical Engineering from Rutgers University. He previously chaired Vanderbilt’s Civil and Environmental Engineering Department (2000–2012). His research focuses on nuclear/chemical waste containment, contaminant mass transfer, and eco-cultural risk assessment. He advises U.S. federal agencies on defense waste remediation and chemical weapons demilitarization. Education: Ph.D., Chemical and Biochemical Engineering, Rutgers University M.S., Chemical and Biochemical Engineering, Rutgers University B.S., Chemical Engineering, Rutgers University Key Roles: CRESP Principal Investigator Environmental Laboratory Director Former Department Chair (Civil & Environmental Engineering) His research integrates laboratory experiments with field data to model long-term behavior of waste forms and geological interfaces. Notable contributions include studies on cement-rock interactions, PFAS leaching, and ecological risk assessment at DOE sites like Hanford and Oak Ridge. He has authored over 200 publications, advancing risk-informed decision-making in waste management. Scientific contributions span nuclear waste durability, eco-cultural justice frameworks, and sustainable materials engineering. He collaborates internationally on deep geological disposal systems and environmental policy.

Shujun Liمشاهده پروفایل

استاد

• Cyber Security
• Privacy
• Artificial Intelligence
• +۷ مورد دیگر

Shujun Li is a Professor of Cyber Security and Head of the Cyber Security Research Group at the School of Computing, University of Kent. He also holds a Visiting Professorship at the Department of Computer Science, University of Surrey. His research focuses on cyber security, privacy, AI applications, and human-centric computing. He leads the Institute of Cyber Security for Society (iCSS), a university-wide interdisciplinary research centre. Education: PhD in Information and Communication Engineering (Xi'an Jiaotong University, 2003), followed by postdoctoral research at City University of Hong Kong, Humboldt Research Fellowship at FernUniversität in Hagen, and a 5-year Zukunftskolleg Research Fellowship at Universität Konstanz. Research interests include cyber security (usable security, digital forensics, misinformation), AI safety, human factors, and socio-technical systems. He has published over 100 papers, with awards including the IEEE Guillemin-Cauer Best Paper Award and EPSRC recognition. Awards: Includes IEEE Transactions Best Paper Awards, EPSRC peer review recognition, and multiple conference best paper awards. Active in interdisciplinary projects like MACRO (cyber risks in mobility systems) and ACCEPT (reducing human-related cyber risks). Labs/Teams: Directs iCSS, co-founded Kent & Medway Cyber Cluster, and leads the Kent Interdisciplinary Research Centre in Cyber Security (KirCCS). Collaborates with industry and government agencies on cyber resilience and AI ethics.

Siddharth Gargمشاهده پروفایل

دانشیار

• Machine Learning
• Cybersecurity
• Computer Hardware Design
• +۴ مورد دیگر

Siddharth Garg is the Institute Associate Professor of Electrical and Computer Engineering at NYU Tandon School of Engineering, leading the EnSuRe Research Group. He holds a Ph.D. from Carnegie Mellon University (2009) and a B.Tech. from IIT Madras. His research focuses on secure and energy-efficient computing systems, integrating machine learning, cybersecurity, and hardware design. He previously held roles as Assistant Professor at NYU Tandon (2014-2020) and the University of Waterloo (2010-2014). Key affiliations include NYU Center for Cybersecurity (CCS), NYU Wireless, and the Center for Advanced Technology in Telecommunications. His work has been recognized with prestigious awards like the NSF CAREER Award (2015) and inclusion in Popular Science’s 'Brilliant 10' (2016). Notable research includes private inference optimization, secure hardware IP protection, and adversarial machine learning defenses. Publications highlight advancements in zero-knowledge proofs, AI-driven chip design, and mitigating backdoor attacks in neural networks. His grants include funding from NYU Wireless and NSF initiatives like the Chips4All project. The EnSuRe group emphasizes bridging software and hardware design gaps using AI and fostering cybersecurity education.