جست‌وجوی استاد و پژوهشگر

Oliver Seitzمشاهده پروفایل

استاد

• Chemical protein synthesis
• DNA/RNA-templated reactions
• Bioorganic synthesis
• +۶ مورد دیگر

Prof. Oliver Seitz leads the Bioorganic Synthesis research group at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, Humboldt University of Berlin. His lab focuses on cutting-edge chemical biology approaches for protein/nucleic acid interrogation, with recent work advancing DNA/RNA-programmed assemblies for cellular imaging and therapeutic applications. Research spans chemical protein synthesis, glycoprotein/phosphoprotein engineering, and nucleic acid-templated reactions. Key innovations include Forced Intercalation (FIT) probes for wash-free RNA imaging, loss-of-affinity principles for catalytic efficiency, and peptide-PNA conjugates for targeted cellular delivery. The group actively develops tools for live-cell protein labeling and biomolecular spatial screening. Recent publications (2021-2024) emphasize fluorescence-based detection systems, catalytic templated reactions, and therapeutic peptide synthesis. Trends show increasing sophistication in multi-dye probes, glycan engineering, and RNA-triggered pro-drug activation. Scientific awards include: Max Bergmann Award (2019) Prof. Seitz actively advises doctoral students, with recent graduates Marvin Björn Stutz (2023, magna cum laude ), Dino Gluhacevic von Krüchten (2023, summa cum laude ), and Sophie Schöllkopf (2023, magna cum laude ). Current PhD candidates include Ekaterina Kazakova (glycoprotein synthesis), Alina Herfort (phosphoproteins), and Lina-Marie Beck (peptide-nucleic acid conjugates), with postdocs like Dr. Mandana Oloub (viscosity sensors). The Bioorganic Synthesis lab operates within Berlin's vibrant chemical research ecosystem, utilizing specialized techniques for chemical protein synthesis and nucleic acid detection. Recent team growth reflects ongoing projects in RNA imaging, catalytic templated reactions, and therapeutic conjugate development, supported by open positions for new researchers.

Hamid Mansoorمشاهده پروفایل

استادیار

• Data Visualization
• Digital Health
• Digital Phenotyping
• +۶ مورد دیگر

Hamid Mansoor is an Assistant Professor in the Department of Computer Science at the University of Manitoba. He holds a PhD in Computer Science from Worcester Polytechnic Institute under Prof. Emmanuel Agu, and was part of the DARPA-funded WASH project. His research focuses on data visualization, digital health, and smartphone-based behavioral analysis. He previously served as a Postdoctoral Fellow at the VIXI Lab, University of Victoria, Canada, under Prof. Miguel Nacenta. Education: PhD in Computer Science, Worcester Polytechnic Institute Research Interests: Interactive data visualization frameworks for health monitoring Mobile and ubiquitous computing for behavioral analysis Smartphone-sensed human behavior and health informatics Visual representation of text-based and sensor data Publications highlight trends in visual analytics for healthcare, including tools like ARGUS and INPHOVIS for detecting bio-behavioral disruptions and smartphone-based phenotyping. His work integrates machine learning with visualization to address challenges in health data interpretation. Awards: Best short paper honorable mention (EuroVis 2020) His contributions span academic collaborations in health informatics and mobile computing, with a focus on bridging theory and practical applications in healthcare technology.

Md. Tahmidul Islam Mollaمشاهده پروفایل

استادیار

• Wearable Technology
• Pervasive/Ubiquitous Computing
• Human-Computer Interaction
• +۱ مورد دیگر

Dr. Md. Tahmidul Islam Molla is an Assistant Professor of Practice and Director of Undergraduate Studies in the Department of Computer Science at Marquette University. He specializes in wearable technology, pervasive computing, human-computer interaction, and data science. Previously, he held a Postdoctoral Researcher position at Cornell University and earned his Ph.D. from the University of Minnesota in 2020. His teaching roles include instructing core and advanced courses in computer science, data science, and embedded systems. He leads the NSF S-STEM project at Marquette, providing scholarships for low-income graduate students transitioning into computing careers. Courses taught include COSC 1000, COSC 2100, COSC 4290/5290, COSC 5500, COSC 6500, and COSC 6510. Research interests focus on wearable systems, soft/flexible electronics, and on-skin interfaces. His work explores manufacturing techniques for e-textiles and user experience in thermal microclimate control. Collaborative projects include the development of SkinKit and WovenProbe for prototyping on-skin interfaces. Dr. Islam’s research has led to innovations in e-textile fabrication, including surface-mount methods and laundering-resistant designs. He actively contributes to conferences like ACM International Symposium on Wearable Computers and ACM Designing Interactive Systems.

Merve Acer Kalafatمشاهده پروفایل

دانشیار

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

Merve Acer Kalafat is an Associate Professor in the Department of Mechanical Engineering at Istanbul Technical University. She specializes in robotics, control systems, compliant mechanisms, and additive manufacturing, with a focus on sensor integration and advanced material applications. Her research involves origami-inspired mechanisms, tactile sensors, and flexible electronics. Her work spans interdisciplinary areas such as piezoelectric actuators, parallel manipulators, and neural network-based performance analysis. Collaborations include studies on textile-based strain sensors and inkjet-printed flexible electronics. She has supervised 3 ongoing theses and contributed to over 20 publications since 2011. Key research interests include improving manufacturing processes (e.g., FDM parameters), developing foldable robotics systems, and advancing tactile sensing technologies for soft robotics applications.

• Electrical Machines
• Energy Conversion
• Permanent Magnet Motors
• +۳ مورد دیگر

Lale Tükenmez Ergene is a Professor at Istanbul Technical University 's Department of Electrical Engineering, specializing in Electrical Machines and Energy Conversion . Her work bridges theoretical research and practical applications in motor design for electric vehicles and home appliances. Ph.D. in Electrical Engineering from Rensselaer Polytechnic Institute 20+ years of academic and administrative leadership Focus areas: Permanent Magnet Motors, Synchronous Reluctance Motors, and Sensorless Control Systems Her research explores: Optimization of traction motors for electric vehicles Advanced sensorless control algorithms for motor drives Reduction of voltage distortion in high-performance motors Integration of predictive diagnostics in motor systems Applications of neurofuzzy control systems in multicopters Recent publications highlight trends in PMaSynRM parameter estimation , flux weakening capabilities , and real-time motor diagnostics . Her work spans both traditional electrical engineering and cross-disciplinary innovations like VR-based language learning systems for EU workforce mobility. Scientific recognition includes: Best Poster Paper Award (2016) 2nd Prize in Graduation Design Competition (2015) Doctoral Thesis Excellence Award (2015) She leads projects such as: Pmasynrm's Innovative Real-Time Model Diagnostic System (2021-2024) Sensorless Magnet-Supported Motor Drive for Washing Machines (2019-2022) VR-based Business English Training for Engineers (2018-2022)

• Humanities
• Arts
• Architectural Design
• +۸ مورد دیگر

Isabel Maria Dias Cabral is a Contracted Researcher at the Centre for Textile Science and Technology (2C2T) at Universidade do Minho, Portugal. She holds a Doctorate in Textile Engineering (2018) and has academic background in Industrial Design (2004) and multiple Masters in Textile and Design fields (2009, 2011). Her research focuses on smart materials applied to textile design, particularly color change materials, shape memory textiles, and sustainable practices. Doctorate in Textile Engineering (2018) Master in Space, Product and Communication Design (2009) Licenciatura in Industrial Design (2004) Her work explores intersections between Humanities (Arts, Architectural Design) and Engineering (Materials, Textiles). Key research areas include smart textiles , interactive materials , and ecological coloration , with a focus on thermochromic , photochromic , and hydrochromic textile systems. Recent publications (2023-2025) demonstrate expertise in natural dyes (eucalyptus, weld, madder), colorimetry in design education , and functionalization of materials for specific applications. She co-supervises PhD and MSc students in projects related to sustainable fashion , smart printed textiles , and ecological coloration . Scientific recognition includes: CEECIND award (2022) Post-Doc grant (2018) FCT PhD grant (2012) Active in project coordination (Bioeconomia Têxtil e Vestuário_BE@T), educational outreach through workshops, and international collaboration with institutions in Sweden, Spain, and Belgium. Her work bridges art , science , and technology in textile innovation.

• Electric Machines
• Permanent Magnet Motors
• Reluctance Motors
• +۷ مورد دیگر

Lale Ergene is a Professor in the Department of Electrical Engineering at Istanbul Technical University (ITU), College of Engineering. Her research focuses on advanced electric machine design and control systems for industrial and automotive applications. She is actively involved in motor drive innovation, particularly in permanent magnet and reluctance motor technologies. Research Interests: Dr. Ergene specializes in electric machines, with emphasis on Permanent Magnet Synchronous Motors (PMSM), Interior Permanent Magnet (IPM) motors, and Permanent Magnet Assisted Synchronous Reluctance Motors (PMaSynRM). Her work spans sensorless control, field weakening techniques, finite element analysis, and motor optimization for electric vehicles and home appliances. She applies intelligent control methods such as neuro-fuzzy systems and real-time diagnostics. Recent Research Trends: Her recent publications (2023–2024) show a strong focus on improving motor efficiency and control robustness, especially in EV traction systems and white goods. Key themes include voltage distortion reduction, flux weakening enhancement, real-time parameter estimation using FFT, and lean sensorless control at zero/low speeds. Her work bridges theoretical modeling with industrial applications. Scientific Awards: Best Poster Paper AWARD (2016) Graduation Design and Project Competition 2nd Prize (2015) ITU 2014 Best Doctoral Thesis Award (2015) Advising and Grants: Dr. Ergene has supervised or is currently supervising 25 theses, indicating a strong mentoring role. She has led multiple funded projects, including TÜBİTAK and ITU BAP grants, focusing on FPGA-based neural network control, three-level inverter design, real-time model diagnostics, and sensorless control for washing machines and EVs. Her projects demonstrate sustained research funding and applied engineering impact. Labs and Research Teams: While specific lab names are not mentioned, her projects imply leadership in a motor control and electric machines research group at ITU, likely involving FPGA, real-time simulation, and embedded control systems. Her collaborations with researchers like A.F. Ergenc, M. Yilmaz, and A. Tap suggest an active, multidisciplinary team focused on next-generation motor drives.

Archibong Eso Archibongمشاهده پروفایل

دانشیار

• Multiphase Flow
• Fluid Dynamics
• Low-Carbon Energy Systems
• +۱۵ مورد دیگر

Dr. Archibong Eso Archibong is an Associate Professor in Mechanical Engineering and serves as the Programme Director for Mechanical Engineering and Academic Lead for Engineering Labs & Workshops at the University of Birmingham Dubai Campus. He is affiliated with the School of Engineering and the Department of Mechanical Engineering, contributing to both academic leadership and research innovation. Education: PGCert in Higher Education, University of Birmingham (UK), 2021 PhD in Energy Engineering (Multiphase Flows), Cranfield University (UK), 2015 MSc in Process Systems Engineering, Cranfield University (UK), 2011 BEng (Hons) in Mechanical Engineering, Cross River University of Technology (Nigeria), 2008 Archibong's research focuses on multiphase flow systems with applications in low-carbon energy, carbon removal (including Direct Air and Ocean Capture), industrial processes, and biomedical engineering. His work integrates computational modeling, experimental analysis, and economic assessment to develop sustainable solutions. Key areas include hydrogen production, hybrid energy cycles, microbial fuel cells, and fluid-structure interaction in heart valves. He also contributes to STEAM pedagogy, digital education, and curriculum design for underserved communities. The recent publications reflect a strong trend in energy sustainability, with a focus on thermodynamic efficiency, multiphase flow modeling, and clean energy integration. Articles span biomedical applications of fluid dynamics, hydrogen safety in nuclear systems, and machine learning for energy prediction in buildings, showcasing a multidisciplinary approach to engineering challenges. Scientific Awards and Honors: Senior Fellow (SFHEA), Higher Education Academy (Advance HE), 2022 Fellow (FIMechE), Institution of Mechanical Engineers, 2022 Chartered Engineer, Engineering Council (UK), 2021 MIT ETT Fellowship supported by TotalEnergies, 2019 Cranfield University/HEFCE Doctoral Studentship (2012–2015) Archibong actively advises on energy policy and delivers workshops in lean-resource settings. He has served as a grant reviewer for the British Council and sits on the Topical Advisory Board for Fluids . He is involved in UAE national initiatives on hydrogen development and waste-to-energy projects. He mentors prospective MRes and PhD researchers and collaborates with industry partners such as BP, Schlumberger, and TotalEnergies. His leadership extends to curriculum development for non-profits and humanitarian agencies aligned with the UN Sustainable Development Goals. He leads research in fluids and multiphase systems, with active projects on electrochemical hydrogen production, hybrid energy cycles, and Direct Air Capture technologies. His team employs advanced modeling and experimental techniques to address global challenges in energy, environment, and healthcare.

Michael Templetonمشاهده پروفایل

استاد

• Environmental Engineering
• Infectious Diseases
• Public Health Engineering
• +۶ مورد دیگر

Professor Michael Templeton is a leading academic in Public Health Engineering at Imperial College London , affiliated with the Faculty of Engineering and the Department of Civil and Environmental Engineering . He also holds the Royal Academy of Engineering Research Chair in Global Sanitation Technology , working closely with organizations like Oxfam , Water For People , and the International Worm-Based Sanitation Association . His work addresses critical issues in water supply , sanitation , and public health , particularly in regions affected by schistosomiasis and water scarcity . Professor Templeton earned a Bachelor's degree with honours in Engineering Science and a PhD in Civil-Environmental Engineering , both from the University of Toronto . He is a chartered civil engineer , Fellow of the Institution of Civil Engineers , and elected Fellow of the African Academy of Sciences . His professional experience includes advisory roles for the World Health Organization , Ethiopian Federal Ministry of Health , and various research councils. Environmental Engineering : Water treatment Infectious Diseases : Schistosomiasis control Global Health : Sanitation in low-income settings Climate Resilience : Cold region sanitation Waste Valorization : Biochar from faecal sludge Diagnostic Innovation : Biosensors for pathogens His most recent research explores stormwater odorants , UV disinfection , and smartphone-based water quality monitoring . He has also advanced tiger worm toilets and citizen science approaches in data-scarce regions. His work spans 15 countries including Ghana , Sierra Leone , India , and Ethiopia . Scientific awards and honors include: Fellow of the Institution of Civil Engineers Elected Fellow of the African Academy of Sciences Royal Academy of Engineering Research Chair Professor Templeton has no listed students in the provided data but has contributed extensively to sanitation innovation , waterborne disease prevention , and capacity-building in developing nations. He has led field projects and published on vermifiltration systems , biochar production , and disinfection byproducts .

Jennifer Davisمشاهده پروفایل

استاد

• Water Resources Engineering
• Global Public Health
• Sustainable Infrastructure
• +۳ مورد دیگر

Professor Jennifer Davis is a Professor of Civil and Environmental Engineering and Higgins-Magid Senior Fellow at Stanford University's Woods Institute for the Environment. She leads the Stanford Program on Water, Health & Development, focusing on water infrastructure, public health, and economic development in low/middle-income countries. Her work spans over 20 countries, emphasizing equitable water management solutions. Davis holds a PhD and MSPH from UNC-Chapel Hill in Environmental Science & Engineering and Public Health. Her research investigates the intersection of water systems, poverty, and climate resilience, with major projects including rural water infrastructure sustainability in Uganda/Africa, school-based sanitation programs in Zambia/India, and Lotus Water's chlorine disinfection innovations. She collaborates with global teams to address WASH challenges in healthcare facilities and refugee settlements. Through market-based maintenance models and IoT approaches, her group explores scalable solutions for infrastructure durability. Over 60 Stanford trainees have participated in her projects, emphasizing interdisciplinary training. Her lab's "Poop Group" fosters creative problem-solving in sanitation engineering. Key initiatives include the EPIC project linking infrastructure to poverty reduction, Uganda's rural healthcare WASH sustainability efforts, and Zambia's piped water gender equality studies. Davis advises graduate/undergraduate students in environment-focused programs at Stanford, emphasizing competitive admissions and external fellowships.

Márta Seebauerمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computer Science
• Civil Engineering
• +۵ مورد دیگر

Dr. Márta Seebauer is an Associate Professor at Alba Regia Faculty of Óbuda University. Her research spans interdisciplinary areas including artificial intelligence applications in energy systems, structural engineering reliability analysis, financial risk modeling, and sensor technology for food quality assessment. She maintains an active publication record with work showcased in IEEE symposiums and specialized journals. Email: seebauer.marta@uni-obuda.hu Consultation Hours: Thursdays 14:00-15:00 Her research interests emphasize practical applications of computational methods in civil, environmental, and smart city technologies. Recent work includes neural network-based energy monitoring systems and asbestos risk mitigation strategies during building demolition.

Anu G. Bourgeoisمشاهده پروفایل

دانشیار

• Parallel and Distributed Computing
• Wireless Networks
• Security and Privacy
• +۵ مورد دیگر

Anu G. Bourgeois is an Associate Professor in the Department of Computer Science at Georgia State University. She holds a Master’s and Ph.D. in Electrical and Computer Engineering from Louisiana State University (1997 and 2000, respectively). Her work is supported by NSF and CDC grants, and she is a Senior Member of the IEEE. Bourgeois’s research spans parallel computing, wireless networks, cybersecurity, and STEM education. Notable projects include the RISE program for Black women in computing and studies on UAV control via AI. Her recent work emphasizes educational equity, m-health interventions for opioid use, and fault-tolerant systems. Her 2025 publications highlight pathways for underrepresented students in computing and resilient data transmission frameworks. Earlier work includes contributions to cosmic ray detection and mobile health applications. Awards include recognition as an IEEE Senior Member. Bourgeois advocates for industry-aligned pedagogy, as seen in her virtual tutoring center projects and collaborations on cybersecurity education. She leads the Evidence-Based Cybersecurity Research Group and maintains a lab at grid.cs.gsu.edu/agb .

• Protective Clothing and Equipment
• Textile Analysis and Care
• Archaeological Textiles
• +۳ مورد دیگر

Jane Batcheller is a Professor in the Department of Human Ecology at the University of Alberta, affiliated with the Faculty of Agricultural, Life and Environmental Sciences. She serves as Principal Investigator of the Protective Clothing and Equipment Research Facility (PCERF) and oversees the Textile Analysis Service (TAS), established in 1970. Her research focuses on three core areas: protective clothing design, textile analysis and preservation, and archaeological textile studies. She holds a PhD and MA in Textile Archaeology from the University of Manchester. Teaching responsibilities include courses such as HECOL 270 (Applications of Textile Science), HECOL 370 (Quality Assurance for Textiles), and HECOL 476/576 (Textile Analysis and Care). She has supervised numerous graduate students, including Elena Kosareva (PhD) and Bronwyn Bates (MSc). Her work has been recognized with the J. William Weaver Paper of the Year Award (2016). Research highlights include studies on graphene-based sensors for fire-protective fabrics, thermal protection assessment, and historical textile preservation. TAS provides textile testing, educational resources, and employs students part-time.

Niina Hernándezمشاهده پروفایل

مدرس

• Textile Engineering
• Garment Fit
• Virtual Fitting
• +۳ مورد دیگر

Niina Hernández is a University Lecturer at the Department of Textile Technology within the Academy of Textiles, Technology and Economics at the University of Borås. She has been affiliated with the university since 2011, initially serving as a training leader and teacher for Design Techniques while completing her doctoral studies. Education: Textile teacher's degree Licentiate in fit for deviant figures from the University of Gothenburg (Thesis: "Tailoring the Unique Figure") Doctoral thesis: "Does it really fit?" Research Interests: Hernández specializes in the mathematical, virtual, and physical aspects of garment fit. Her work spans systems for product development and production, software for custom-made clothing manufacturing, and virtual fit evaluation methodologies. Core research areas include Textile Engineering, Garment Fit, Virtual Fitting, Custom Clothing Production, Smart Textiles, and Wearable Technology, with emphasis on bridging theoretical models with practical applications. Publication Trends: Her 15 most recent publications (2014-2023) demonstrate concentrated expertise in garment fit prediction, smart textile sensors, and wearable health monitoring systems. Key themes include deep learning for textile degradation analysis, virtual sizing solutions, sensor integration for neurological disorders, and sustainable fashion technologies. The work consistently bridges textile engineering with computer science and healthcare applications, showing progression from theoretical fit modeling to real-world implementations in neurorehabilitation and UN collaborations. Research Projects and Funding: wearITmed: Funded by the Swedish Foundation for Strategic Research (SSF) for neurorehabilitation garments Digimode: Vinnova-funded project extending EC-supported "from Roll to Bag" circular fashion initiative SIIR: Industry collaboration projects for textile companies UN Collaboration (2024-2025): Development of guide clothing for UN headquarters in New York with design students Teaching and Advising: Hernández has instructed Design Techniques since 2011 and mentored students in high-impact projects like the UN guide clothing collection. Her teaching integrates industry experience from CAD/CAM systems development and women's apparel production. Laboratory and Team Involvement: She is a core member of the WearITmed Consortium developing sensor-based garments for neurological rehabilitation. Her work with SIIR facilitates industry-academia knowledge transfer, while the UN project demonstrates applied design leadership in international contexts.

Arash Moghaddassian Shahidiمشاهده پروفایل

پژوهشگر ارشد

• Medical Textiles
• Electronic Textiles
• Textile Characterization
• +۵ مورد دیگر

Dr. Arash Moghaddassian Shahidi is a Senior Research Fellow in Medical and Technical Textiles at the Advanced Textiles Research Group, Nottingham School of Art & Design, Nottingham Trent University. His career began with research on knitted compression systems for venous disease management, evolving into multidisciplinary work on advanced textiles for medical/industrial applications, flexural composites, and electronic textiles. Research Focus Dr. Shahidi's research spans: Characterization of electronic textiles (e-textiles) and medical textiles Development of automated manufacturing processes for electronic yarns Infra-red reflow soldering and component encapsulation Novel space antenna materials and textile-based sensors Functional composites and wearable health technologies His recent publications (2019-2025) demonstrate a strong emphasis on e-textile innovation, including wash durability studies, solar textile panels, haptic feedback systems, and biomedical applications like synthetic tissue models. Collaborative projects frequently integrate materials science, electronics, and biomedical engineering. Affiliations He leads projects within the Advanced Textiles Research Group, focusing on healthcare, wellbeing, and industrial textile solutions. Additional details are available at www.e-yarns.com .