جست‌وجوی استاد و پژوهشگر

• Statistical Process Control
• Quality Management
• Reliability Testing
• +۳ مورد دیگر

Michael J. Miller is a Lecturer and Program Director at the University of Wisconsin-Stout's College of Science, Technology, Engineering, Mathematics & Management, where he teaches courses in the Engineering & Technology Department. He has extensive industry experience, including creating a reliability testing lab, developing corporate Statistical Process Control (iSPC) systems, and leading a project that increased HTI’s customer capability compliance from 80% to 100%. Education: B.S. in Engineering Technology (Electronics and Quality), St. Cloud State University Associate Degree in Math and Physics, Hutchinson Technical College Diploma in Metrology (Science of Precision Measurement), Hutchinson Technical College Diploma in Electronics, Wright County Cooperative Center His expertise spans quality tools, manufacturing systems optimization, and technical training. He supervised a team of 55 in a technical support department and coordinated startup activities for a manufacturing facility in Thailand. Scientific Awards: ASQ Certified Six Sigma Black Belt HTI Corporate Champion for 8D Problem Solving He pioneered an automated data management system and designed a Programmable Logic Controller course curriculum. His work at WD saved over $1.2M annually through updated electrical test systems.

Besnik Selimiمشاهده پروفایل

استاد

• Software Testing
• Blockchain Technology
• IoT and Smart Agriculture
• +۷ مورد دیگر

Besnik Selimi is a Full Professor at the Faculty of Contemporary Sciences and Technologies, South East European University (SEEU). He holds a Ph.D. in Computer Sciences from Joseph Fourier University (Grenoble 1), France, specializing in Software Testing. His academic career spans roles as Associate Professor (2015–present), Assistant Professor (2010–2015), and part-time Lecturer (2009–2010). He also served as a State Advisor on Information Technologies for the Republic of Macedonia (2007–2008) and held research roles in France. Education: Ph.D. in Computer Sciences (2009), Joseph Fourier University, Grenoble Master in Software Engineering (2004), Joseph Fourier University Bachelor of Computer Sciences (2002), Joseph Fourier University Research Interests: Software Testing and Formal Methods Blockchain Technology and Smart Contracts IoT and Smart Agriculture Natural Language Processing for Low-Resource Languages Recommender Systems and Trust Metrics Cybersecurity and Data Privacy Recent work focuses on systematic reviews in testing methodologies, blockchain applications, and AI-driven solutions for education and agriculture. His contributions include the BCERT blockchain-based academic certification system and neural network models for low-resource language processing. Labs/Teams: Active in SEEU's research initiatives, collaborating with institutions like the "Max van der Stoel" Institute and the Institute for Environment and Health .

• Unconventional Computing
• Bio-inspired Computing
• Modeling and Simulation
• +۴ مورد دیگر

Dr. Antisthenis Tsompanas is a Senior Lecturer in Computer Science at the University of the West of England (UWE), part of the Faculty of Engineering and the Environment (FET). His research focuses on unconventional and bio-inspired computing, with expertise in modeling biological processes, cellular automata, and memristive systems. He holds degrees in Electrical and Computer Engineering from Democritus University of Thrace, Greece. Research interests span unconventional computing, bio-inspired algorithms, electronic systems design, and applications of cellular automata in computing and engineering. His work includes projects on fungal-inspired computing, neuroevolution-based medical device design, and FPGA implementations of biological models. Publications highlight trends in mycelium-based systems, memristive oscillators, and neuroevolution techniques applied to soft robotics and medical devices. Collaborative projects include EU-funded initiatives and interdisciplinary research in biomimetic engineering. He is a member of the Technical Chamber of Greece since 2009. Current contributions include advancing biohybrid actuators, developing models for engineered living materials, and exploring computational universality in biological systems.

Mark Bedillionمشاهده پروفایل

عضو هیئت علمی

• Control Systems
• Mechatronics
• Distributed Manipulation
• +۸ مورد دیگر

Mark Bedillion is an Associate Teaching Professor in the Department of Mechanical Engineering at Carnegie Mellon University (CMU), where he has been a faculty member since fall 2016. Prior to this, he served as an Associate Professor at the South Dakota School of Mines and Technology from 2011 to 2016. He earned all his degrees—B.S. (1998), M.S. (2001), and Ph.D. (2005)—in Mechanical Engineering from CMU. His industrial experience includes over seven years at Seagate Technology, focusing on servo-control systems for data storage. Current Position: Associate Teaching Professor, CMU Previous Position: Associate Professor, South Dakota School of Mines and Technology Education: All degrees from CMU in Mechanical Engineering Industry Experience: Seagate Technology (7+ years) His teaching focuses on dynamic systems, control theory, and mechatronics at both undergraduate and graduate levels. He has taught courses such as Multivariable Linear Control, Feedback Control Systems, and Electromechanical Systems Design. His research spans two main domains: (1) robotics and control, particularly distributed manipulation and brake-actuated mobile robots, and (2) STEM education, with a strong emphasis on systems thinking, systems engineering, and virtual laboratory development. His educational research aims to improve student learning outcomes through innovative curriculum design and assessment tools. The recent publications highlight a clear trend: a growing emphasis on educational research, particularly in systems thinking and systems engineering pedagogy. While earlier work focused on control algorithms and mechatronic design for robotics, the past five years have seen a significant shift toward developing and assessing educational tools, online modules, and inclusive teaching practices. This reflects his dual role as both a technical researcher and an educational innovator. Provost’s Inclusive Teaching Fellow, Carnegie Mellon University Mark Bedillion advises graduate students and is actively involved in curriculum development and educational grants, particularly in engineering education reform. He leads projects on virtual laboratories, systems thinking assessments, and outreach to underrepresented youth. His lab work includes experimental platforms for distributed manipulation and brake-actuated robots. He is also engaged in collaborative research on STEM education across multiple institutions, focusing on benchmarking and improving mechanical engineering curricula.

Mark Santolucitoمشاهده پروفایل

استادیار

• Program Synthesis
• Computer Music
• DevOps
• +۴ مورد دیگر

Mark Santolucito is an Assistant Professor of Computer Science at Barnard College, Columbia University. He holds a PhD in Computer Science from Yale University, where his research focused on program synthesis and computer music. His current work explores program synthesis techniques to enhance programmer productivity, particularly in lowering barriers to entry for underrepresented groups and optimizing workflows for advanced developers. He leads the Barnard PL (Programming Languages) Labs, which develops tools like TSL (Temporal Stream Logic) for synthesizing reactive systems and analyzing infrastructure-as-code (IaC). His research intersects formal methods with creative applications in music and live coding, emphasizing accessibility and usability. Education: PhD in Computer Science (Yale University), focusing on program synthesis and computer music. Research interests include program synthesis, temporal logic specifications, infrastructure configuration analysis, and music technology. He emphasizes human-centered design in his work, aiming to make programming more accessible through tools like TSL and interactive synthesis environments. Projects include TSL Move Cube, Block-based Editor for Temporal Logic, and Spiral Analysis for medical software migration. Notable contributions include developing TSL synthesis pipelines, optimizing Arduino configurations, and exploring static analysis for cost prediction in cloud deployments. His work bridges theoretical foundations with practical applications in both software engineering and creative computing. Labs/Teams: Leads Barnard PL Labs, collaborating on projects like TSL Synthesis Engine and Static Analysis for IaC. Active in workshops such as SEConfig and FMCAD.

Amanda Perryمشاهده پروفایل

استاد

• Forensic Psychology
• Mental Health Interventions
• Criminal Justice System
• +۵ مورد دیگر

Professor Amanda Perry is a Chartered Forensic Psychologist and Professor at the University of York, where she serves as Director of the Mental Health and Addiction Research Group (MHARG). She holds an honorary Consultant Psychologist position with Tees Esk and Wear Valleys NHS Foundation Trust and is actively involved in the Faculty of Science Athena Swan Committee as both Chair of the Working Group and Committee Member. Her work bridges academic research and practical application within the criminal justice system. Professor Perry's educational background includes a BSc Combined in Psychology and Science from the University of Leicester, an MA in Health Services Research from the Nuffield Institute at Leeds University, and a PhD from the University of York focused on developing a screening instrument for offenders at risk of suicide and self-harm behavior. She is a Chartered Forensic Psychologist with Certificate of Competence in Psychological Testing (Level A & B) and holds a City and Guilds 730 Teachers Certificate. Her research interests center on forensic mental health, particularly evidence-based psychological interventions within the criminal justice system. She specializes in suicide and self-harm risk assessment among prisoners, psychometrics, and systematic reviews of interventions for offenders. Professor Perry currently leads a £2.2m NIHR programme grant called AMICABLE, demonstrating her capacity to secure significant research funding for complex projects addressing mental health in correctional settings. Analysis of her recent publications reveals a strong focus on older prisoners' mental and physical health needs, cultural adaptation of interventions for diverse prison populations, and innovative approaches to suicide prevention. Her work increasingly incorporates interdisciplinary perspectives, including archaeology to inform policy development, and employs advanced methodologies such as machine learning for risk prediction. She maintains an active role in the Cochrane Collaboration, contributing numerous systematic reviews on drug treatments and psychological interventions for offenders. Professor Perry actively supervises PhD students and welcomes proposals in areas including suicide and self-harm in prisoners, psychological therapies with prisoners (particularly problem-solving or CBT approaches), quality assessment of randomized controlled trials, systematic reviews, and drug treatments with offenders. Her external activities include membership in the British Psychological Society Division of Forensic Psychology and editorial duties on the Health and Justice Journal. She has delivered invited talks at international conferences including the International Conference on Justice Development in Warsaw, Poland, and presented TED-style talks for the York Medical Society during the ESRC Festival of Social Science. Professor Perry has also contributed blogs for Suicide Prevention Day for BMC Blog, demonstrating her commitment to translating research into public understanding.

• Systems Engineering
• Automation Engineering
• Industrial Informatics
• +۵ مورد دیگر

Antonio Javier Díaz Longueira is a researcher at the Department of Industrial Engineering, University of A Coruña. He belongs to the Cyber Science and Technology research group, focusing on systems and automation engineering. His academic activities are centered at the College of Engineering, specifically the Ferrol campus. Systems Engineering Automation Engineering Industrial Informatics Robotics Control Systems IoT Applications Power Electronics Digital Electronics His research interests span industrial automation systems, IoT applications in water management, and control engineering. He has contributed to fields like predictive maintenance through machine learning, smart irrigation systems, and FPGA-based industrial control implementations. Recent publications in journals such as Neurocomputing , Applied Intelligence , and Energies demonstrate his expertise in integrating machine learning with industrial automation, particularly in energy management and water systems optimization. Active in teaching since 2022, he has instructed courses in Advanced Automation , Digital Electronics , and Power Electronics across both undergraduate and master's programs in Industrial and Automatic Electronic Engineering. Current research funding includes projects from: NUCLEAR SAFETY COUNCIL (2024-2027) European Union (2024-2026) EMALCSA (2024) Universidad de Castilla-La Mancha (2023-2025) TELEFÓNICA DE ESPAÑA (2023) NAVANTIA (2023-2025) Instituto Tecnológico de Castilla y León (2023-2024) CONSELLERIA DE EDUCACIÓN (2023-2025) European Commission (2023-2025) Instituto Nacional de Ciberseguridad (2023-2025) He provided tutorials at the Ferrol School of Engineering (2024/2025) and directed multiple final degree projects since 2013.

Lei Wangمشاهده پروفایل

استادیار

• Synthetic Biology
• Mammalian Synthetic Biology
• Bioengineering
• +۷ مورد دیگر

Lei Wang is an Assistant Professor of Bioengineering (College of Engineering) and Biology (College of Science) at Northeastern University since January 2024. Her research focuses on mammalian synthetic biology, microfluidics, and organ-on-a-chip technology for biomedical applications. Ph.D. in microfluidics and biosensors Postdoctoral training in genetically programming hiPSCs at MIT Biological Engineering Department Her research interests include: Designing genetically encoded microRNA sensors for live cell-state monitoring Bioengineering cell fate transitions for regenerative medicine and cancer therapy Developing organ-on-a-chip models with patient-specific hiPSCs Creating ultra-sensitive biosensors for pathogen detection Integrating synthetic biology with microfluidics Advancing automated, logic-driven cellular differentiation Her recent publications show a strong trend in synthetic biology tools for cell fate engineering, with applications in cancer therapy, infectious disease diagnostics, and tissue modeling. Notable work includes programmable microRNA sensors for cell state transitions and microfluidic systems for dynamic hypoxia studies. Scientific Awards: NIH Trailblazer Award (2024): $673,600 for programmable RNA sensors in targeted therapies Additional Contributions: Co-inventor on patents for multi-input miRNA sensing and capacitive pathogen detection Developed tumor-on-chip models and ultra-sensitive biosensors Research supported by collaborations with MIT and Northeastern labs Lei Wang Lab focuses on humanized disease models and cell fate engineering

Beny Wagnerمشاهده پروفایل

مدرس

• Artist Moving Image
• Media Theory
• Film and Media Archaeology
• +۶ مورد دیگر

Beny Wagner is a Lecturer in Fine Art Critical Studies at Goldsmiths, University of London , where he explores the intersections of artist moving image , media theory , and histories of science . His collaborative practice with Sasha Litvintseva spans non-linear narratives interrogating the threshold of the human body in time , blending philosophical inquiry with experimental filmmaking. Education: PhD in Archaeologies of Media and Technology (Winchester School of Art, University of Southampton, 2024) Previous Teaching: UCL, Queen Mary University London, Gerrit Rietveld Academy Amsterdam, and guest lectures at European/American institutions His research examines metabolism , measurement standardization , and environmental control systems , often through historical lenses like John Scott Haldane's canary experiments or Flusser's philosophical texts. Recent works like My Want of You Partakes of Me (2023) and Constant (2022) have received international recognition, including awards at IndieLisboa and Guanajuato International Film Festival. Key publications such as Two Hundred Years of Total Conversion (2024) in Ecoes and Plasmaticness and the Boundaries of Human Perception (2022) in Liquidity, Flows, Circulation situate his theoretical output within media archaeology and critical ecology . Film awards and festival selections highlight his impact on experimental documentary practices . Scientific Awards: Jury Special Mention, CPH:DOX 2024 Silvestre Award for Best Short Film, IndieLisboa 2022 Best Short Documentary, Guanajuato International Film Festival 2022 Jury Special Mention, EXiS Seoul 2022 As a researcher at Jan van Eyck Academy and recipient of support from Creative Europe and South, West and Wales Doctoral Training Partnership, Wagner's practice bridges film , academic research , and curatorial projects . His supervision interests include film and media archaeology , decolonial ecology , and mysticism , particularly within MA Artist Film and BA Fine Art Critical Studies programmes. His doctoral thesis Metabolisms of Moving Image (2024) expands his artistic research into the physiological, political, and philosophical dimensions of media's environmental entanglements . Collaborative films like Materializing the Immaterial: Film as Seeing and Sensing (2024) continue to interrogate embodiment through scientific imaging technologies and posthumanist frameworks .

Shamaila Iramمشاهده پروفایل

مدرس ارشد

• Data Science
• Big Data Analysis
• Data Mining
• +۱۳ مورد دیگر

Dr. Shamaila Iram is a Senior Lecturer in Data Science at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. She serves as the programme leader for the MSc Data Analytics and is an active member of the Centre for Industrial Analytics and the Centre for Autonomous and Intelligent Systems. Dr. Iram is currently accepting PhD students and is involved in cutting-edge research in data science, machine learning, and smart systems. Research Interests: Her work spans Big Data Analysis, Data Mining, Machine Learning, Data Visualization, Internet of Things (IoT), Smart Cities, Smart Homes, and Smart Manufacturing. She applies these technologies to domains such as energy efficiency in buildings and early detection of neurodegenerative diseases using gait and EEG signals. Her research contributes to UN Sustainable Development Goals, particularly in sustainable cities and industries. Publication Trends: Her recent and upcoming publications (2022–2025) focus on machine learning applications in energy efficiency, explainable AI for building analytics, digital twins in industrial systems, and stakeholder engagement in energy assessment. These works reflect a strong interdisciplinary approach combining computer science with real-world engineering and environmental challenges. Scientific Service and Leadership: Dr. Iram has organized research conferences such as the 1st International Workshop on Big Data Analytics for Sustainable Environments (BDASE2018). She is a reviewer for high-impact journals and actively contributes to academic discourse in smart systems and data analytics. Supervision and Collaboration: She supervises PhD students and has led collaborative research projects, including the EU Framework Programme ProSEco. Her work involves multi-institutional and interdisciplinary teams, particularly in energy and healthcare applications. Laboratories and Research Groups: Dr. Iram is affiliated with the Centre for Industrial Analytics and the Centre for Autonomous and Intelligent Systems at the University of Huddersfield, where she contributes to research on intelligent systems, digital twins, and industrial data science.

Hwa Changمشاهده پروفایل

دانشیار

• Wireless Communications
• e-care
• Computer Networking
• +۵ مورد دیگر

Hwa Chang is a tenured Associate Professor in the Department of Electrical & Computer Engineering at Tufts University , where he has been a faculty member since 1987. He directs the Tufts Wireless Lab and oversees the Computer Engineering Program . His research focuses on wireless communications, sensor networks, distributed computing, and engineering education. Education: Ph.D. in Electrical and Computer Engineering (Drexel University, 1987), M.S. in Computer Science (Montana State University, 1983), B.S. in Engineering Science (National Cheng Kung University, 1977). Research Interests: Wireless Sensor Networks (WSNs), energy-efficient routing, mobile ad hoc networks, grid computing, and network security. Notable projects include the Wireless Grid initiative and WISeNET , exploring resource-sharing in dynamic environments. Awards: Outstanding Alumni Award (National Cheng-Kung University, 2005) Excellent Leadership and Service Award (New England Association of Chinese Professionals, 2005) $600K NSF grant for Virtual Markets research (2002-2004) Advising & Grants: Advised ~150 master students and 160 senior design projects Ph.D. graduates include Amlir Davis (2013), Na Wang (2009) Recipient of grants from BBN, NSF, and industry partnerships like A$W Technology Corp. Professional Activities: Leadership roles in New England Association of Chinese Professionals, IEEE, and global science organizations. Editor-in-chief for multiple conference proceedings.

Ulle Endrissمشاهده پروفایل

استاد

• Artificial Intelligence
• Collective Decision Making
• Computational Social Choice
• +۵ مورد دیگر

Ulle Endriss is a Professor of Artificial Intelligence and Collective Decision Making at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. He leads the COMSOC Group and is a member of both the Theoretical Computer Science research unit of the ILLC and the Centre for Explainable, Responsible and Theory-driven AI (CERTAIN). Endriss has held academic positions since 2005, progressing from Assistant Professor (2005-2011) to Associate Professor (2011-2019) and finally Full Professor since 2019. Endriss's research focuses on formal methods in AI, particularly in multiagent systems and knowledge representation, with special interest in computational social choice—the intersection of AI with economics and political science. His work spans voting theory, fair division, participatory budgeting, and game theory. He is actively involved in the ADDI project on digital democracy and regularly contributes to major AI conferences including AAMAS, IJCAI, and AAAI. His recent publications demonstrate a strong focus on computational social choice, with particular emphasis on voting systems, participatory budgeting mechanisms, and the theoretical foundations of collective decision making. His research combines theoretical rigor with practical applications in democratic processes and resource allocation problems. Runner-up for the Best Paper Award (2023) Best Paper Award (2016) Best Paper Award (2012) Best Paper Award (2005) Finalist for the Best Paper Award (2014) Finalist for the Best Paper Award (2008) IJCAI-JAIR Best Paper Prize 2016 Endriss regularly teaches courses on Computational Social Choice and Game Theory for MSc Logic and MSc AI programmes. He makes all his teaching materials openly available, consistent with his commitment to open access in both research and education. He has supervised numerous Master's theses that have led to published research. His work extends to outreach through platforms like Game-Academy.org and Pabuviz.org, which help explain complex voting concepts to broader audiences.

• Electrical Installations
• Control Theory and Applications
• Electrical Energy and Power Systems

Mustafa Ekmekçi is a Lecturer at Ahi Evran University, serving in the Vocational School of Technical Sciences, Department of Electricity and Energy. He has been a full-time faculty member since 1998 and currently holds the position of Department Head since 2010. Education: Master's Degree in Electrical Education, Gazi University, Faculty of Technical Education (2004-2006) His research focuses on Electrical Installations, Control Theory and Applications, and Electrical Energy and Power Systems. His work contributes to the advancement of electrical engineering practices, particularly in vocational training contexts. His publication record includes a notable contribution to geotechnical engineering terminology, indicating interdisciplinary collaboration. However, the majority of his academic output is centered within electrical engineering disciplines. Scientific Awards: No scientific awards or recognitions listed. Dr. Ekmekçi has not supervised any theses and has not been involved in any research projects or intellectual properties as per the provided information. He teaches courses such as Programmable Logic Controllers, Electrical Control Systems, and Fault Analysis at the associate degree level. There is no information available regarding laboratories or research teams led by Dr. Ekmekçi.

• Mechatronics
• Industrial Robotics
• Robotic Vision Systems
• +۵ مورد دیگر

Aleksandr Sergeyev is a Professor in the College of Computing at Michigan Technological University , with affiliations in the Electrical and Computer Engineering department. He serves as Graduate Program Director for the MS in Mechatronics and Director of the FANUC Certified Industrial Robotics Training Center. PhD in Electrical and Computer Engineering, Michigan Tech MS in Physics, Michigan Tech BS in Electrical Engineering, Moscow University of Electronics and Automation Research Interests focus on Mechatronics Systems , Industrial Robotics , Robotic Vision Systems , Automation and Controls , and Optics/Image Processing . He actively develops curriculum frameworks for robotics education and explores complex control systems in industrial applications. Recent publications demonstrate expertise in robotics education , curriculum development , PLC systems , robotic vision , and industrial automation . His work emphasizes interdisciplinary collaboration and industry partnerships . Professional affiliations include membership in SPIE , IEEE , and ASEE . He collaborates with industry leaders like GM , Ford , FANUC Robotics , Edmund Optics , and Bosch . Grants and Funding : • Development of the Teleoperated Robotic Workcell ($80,775) • NSF-sponsored robotics education partnership ($702,324) • Industrial Automation and Control Laboratory ($255,000) • Collaborative projects with major corporations including FORD ($20,000), GM, and BAE ($48,500)

Jacob Rosensteinمشاهده پروفایل

دانشیار

• Bioelectronics
• Integrated Circuit Design
• Biosensors
• +۳ مورد دیگر

Jacob Karl Rosenstein is an Associate Professor of Engineering at Brown University , specializing in mixed-signal electronic design and bioelectronics . His research focuses on developing high-resolution, low-power interfaces to biological systems using integrated circuits and materials. Education : PhD (2012), MS (2009) in Electrical Engineering from Columbia University; ScB (2005) from Brown University. Research Interests : Bioelectronics, biosensor arrays, nanopore technology, electrochemical imaging, and molecular computation. Teaching : Courses include Digital Computing Systems (ENGN 0500), Electrical Circuits and Signals (ENGN 0520), Mixed-Signal Electronic Design (ENGN 2912K), and Topics in Bioelectronics (ENGN 2912L). Scientific Contributions include advancements in CMOS-integrated nanopore sensors, high-speed bioelectronic interfaces, and electrochemical imaging systems. His recent work involves machine olfaction, capacitance tomography, and ultrafast thermal cameras. Awards : Best Paper Award at BioCAS 2021, Best Paper Nomination at ISCAS 2025, Halpin Capstone Prize 2023. Students advised include Kangping Hu (PhD 2022), Steven (PhD candidate), Manar Incandela (extended paper 2024), and Yutong (Master’s thesis 2024). The Rosenstein Laboratory for Embedded Bioelectronics fosters interdisciplinary research between electronic systems and biological applications.