جست‌وجوی استاد و پژوهشگر

Alfred O. Hero, IIIمشاهده پروفایل

استاد

• Data Science
• Statistical Machine Learning
• Distributed Optimization
• +۷ مورد دیگر

Alfred O. Hero, III is the John H. Holland Distinguished University Professor of Electrical Engineering and Computer Science and the R. Jamison and Betty Williams Professor of Engineering at the University of Michigan, Ann Arbor. He is currently on leave from the University of Michigan as a Program Director in the CISE Directorate at the National Science Foundation. His primary appointment is in the Department of Electrical Engineering and Computer Science (EECS), with secondary appointments in the Department of Biomedical Engineering and the Department of Statistics. He is also affiliated with the UM Center for Computational Medicine and Bioinformatics (CCMB), the UM Graduate Program in Applied and Interdisciplinary Mathematics (AIM), the UM Applied Physics Program, and the Michigan Institute for Data Science (MIDAS), which he co-founded from 2015-2018. Hero's research focuses on data science, developing theory and algorithms for multimodality data collection, fusion, analysis and visualization that use statistical machine learning and distributed optimization. His work has applications in wearable technologies for personalized health and predictive medicine, spatio-temporal networks in biology, climate, and social discourse, anomaly detection, and data analysis for international security. His recent research interests include high dimensional spatio-temporal data analysis, multimodal data integration, statistical signal processing, and machine learning, with particular emphasis on predictive mathematical models for biological and physical sciences, social networks, network security and forensics, and personalized health and disease. His recent publications demonstrate a strong focus on high-dimensional statistical methods, contrastive learning, neural network optimization, change detection in temporal graphs, and applications in microbiome analysis and epidemic modeling. The research spans theoretical foundations in information theory and statistical learning while addressing practical applications across multiple domains. Scientific Awards: IEEE Signal Processing Society Best Paper Award (1998) Best Original Paper Award from Journal of Flow Cytometry (2008) Best Magazine Paper Award from IEEE Signal Processing Society (2010) SPIE Best Student Paper Award (2011) IEEE ICASSP Best Student Paper Award (2011) IEEE Signal Processing Society Technical Achievement Award (2014) IEEE Signal Processing Society Society Award (2015) IEEE Fourier Award (2020) University of Michigan Distinguished Faculty Achievement Award (2011) Hero has advised over 60 PhD students and 30 postdocs in areas including modeling, computation, and inference for large scale time varying data in the biosciences. He has received significant research funding from the Department of Energy, Army Research Office, Air Force Office of Scientific Research, and National Science Foundation. He has held leadership positions including President of the IEEE Signal Processing Society (2006-2007), Director of Division IX (Signals and Applications) on the IEEE Board of Directors (2009-2011), and Chair of the Committee on Applied and Theoretical Statistics of the US National Academies (2018-2020).

Qiang Leeمشاهده پروفایل

دانشیار

• Signal Processing
• Sensor Fusion
• Data Analysis
• +۶ مورد دیگر

Dr. Qiang Lee is an Associate Professor in the Electrical and Computer Engineering Department at Hampton University, located in the Franklin W. Olin Engineering Building. She holds a Ph.D. in Electrical Engineering from Georgia Institute of Technology (2006), an M.S. in Computer Information Science from Clark Atlanta University (2002), and a B.Sc. in Electrical Engineering from Beijing University of Aeronautics and Astronautics (1995). Her research focuses on multi-modal sensor fusion, multiple target tracking, signal processing, and geospatial data analysis. Notable projects include NASA's ULI initiative on spectroscopy sensors for hypersonic flight control and ARL-funded work on sensor networks for target tracking. She has served as Principal Investigator (PI) on NSF and ARL grants, and co-investigator on NASA projects. Dr. Lee's publications span machine learning applications in spectroscopy, scramjet control systems, and multitarget tracking algorithms. Her work bridges aerospace engineering, data science, and sensor network optimization. She contributes to engineering education research, particularly in minority-serving institutions. Lab affiliations include Hampton University's School of Engineering research groups focused on sensor systems and aerospace applications. Grants highlight her role in advancing sensor technology for defense and aerospace industries.

• Radiation Oncology
• Medical Physics
• Cancer Treatment
• +۳ مورد دیگر

Dr Emily Hewson is a Cancer Institute NSW Early Career Fellow and member of the Sydney School of Health Sciences at the University of Sydney's Faculty of Medicine and Health. Her research focuses on advancing real-time radiation therapy techniques, particularly in managing intrafraction motion for prostate and other cancers. She leads projects involving multileaf collimator (MLC) tracking, dose optimization, and deep learning integration in radiation oncology. Research interests include adaptive radiotherapy systems, kilovoltage intrafraction monitoring (KIM), and clinical trial implementation (e.g., TROG 15.01 SPARK trial). Her work emphasizes improving treatment accuracy through real-time dose-guided approaches and multitarget tracking for tumors with complex motion patterns. Developed experimental validations for MRI-linac integration and MLC tracking systems Authored a textbook chapter on Adaptive Radiation Therapy (ART) Recipient of Cancer Institute NSW Early Career Fellowship (2023) Recent grants include an AI platform for targeted radiotherapy (2024) and national critical infrastructure funding for lung cancer applications (2023). Her lab collaborates on real-time dose calculation algorithms and clinical trial implementation across multiple institutions.

Bertrand Jean-Claudeمشاهده پروفایل

استاد

• Cancer Drug Research
• Pharmacokinetics
• Molecular Modeling
• +۳ مورد دیگر

Bertrand Jean-Claude serves as a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) at the Glen site and holds a Professorship in the Department of Medicine within McGill University's Faculty of Medicine and Health Sciences. His primary affiliation lies with the Metabolic Disorders and Complications Program under the Centre for Translational Biology. His research centers on innovative anticancer drug development, specifically focusing on the design and synthesis of multitargeted drug candidates engineered to simultaneously block multiple pathways in tumor cells. Key methodologies include kinase inhibitor development , molecular modeling , and pharmacokinetic analysis of combi-drugs—hybrid molecules designed for dual mechanisms of action such as EGFR receptor inhibition coupled with DNA damage. His publication history reveals consistent contributions to molecular oncology, with recent work emphasizing EGFR and DNA repair pathway dual targeting Fluorescence-based drug distribution tracking Overcoming P-glycoprotein-mediated drug resistance Stable combi-molecule fragmentation mechanisms His work bridges medicinal chemistry and translational cancer research, aiming to develop more effective tumor-selective therapies. Jean-Claude maintains active laboratory operations within the RI-MUHC's Centre for Translational Biology, where his team investigates combi-targeting strategies for oncology applications. His research program receives support through institutional frameworks of McGill University and the RI-MUHC, with emphasis on translating molecular discoveries into preclinical therapeutic candidates.

Kyle DeMarsمشاهده پروفایل

دانشیار

• Space situational awareness
• Navigation, guidance, and control
• Bayesian filtering
• +۶ مورد دیگر

Kyle DeMars is an Associate Professor and Associate Department Head for Theoretical and Computational Research in the Department of Aerospace Engineering at Texas A&M University. He holds a Ph.D. from The University of Texas at Austin (2010) and has expertise in space situational awareness, navigation systems, Bayesian filtering, and information theory. His work focuses on advanced estimation techniques for spacecraft autonomy and space surveillance. Dr. DeMars' research emphasizes robust nonlinear filtering, multitarget tracking, and information-theoretic approaches to orbital dynamics. He has developed innovative methods for spacecraft navigation, including terrain-relative systems and anonymous feature processing. His contributions address challenges in uncertainty quantification, sensor fusion, and cislunar space domain awareness. Education: Ph.D./M.S.E./B.S. in Aerospace Engineering (UT Austin, 2004–2010) Awards: AIAA Young Professional Award (2017), NASA Innovation Award (2014), and multiple teaching/research recognitions Labs/Teams: Active in space situational awareness, guidance & control, and probabilistic navigation systems Key trends in his publications include: Advances in particle flow and Gaussian mixture methods for nonlinear estimation Cislunar trajectory analysis and resonance-based surveillance strategies Development of fault-resistant and anonymous navigation frameworks Integration of information theory into sensor tasking and uncertainty management His work bridges theoretical developments with practical applications in planetary landing navigation, space traffic management, and autonomous spacecraft systems.

Thia Kirubarajanمشاهده پروفایل

استاد

• Estimation Theory
• Multisensor-Multitarget Tracking
• Information Fusion
• +۷ مورد دیگر

Dr. Thia Kirubarajan is a Professor and Distinguished Engineering Professor in the Electrical and Computer Engineering Department at McMaster University. He holds the NSERC/General Dynamics Mission Systems-Canada Industrial Research Chair in Target Tracking and Information Fusion. His expertise spans Estimation Theory, Multisensor-Multitarget Tracking, Information Fusion, and Signal Processing. He has led the Estimation, Tracking and Fusion Research Laboratory (ETFLab) with over 50 students and researchers, including PhD candidates and postdoctoral fellows. His academic journey includes degrees from Cambridge University (B.A., M.A.) and the University of Connecticut (M.S., Ph.D.). Education: B.A./M.A. (Cambridge, UK), M.S./Ph.D. (University of Connecticut, USA) Research Interests: Multisensor tracking, sensor fusion, fault diagnosis, and autonomous systems Dr. Kirubarajan has received notable awards including the Barry Carlton Award and Ontario Premier's Research Excellence Award. He teaches advanced courses like Algorithms for Parameter and State Estimation (ECE 771) and has advised numerous students across PhD, M.A.Sc., and undergraduate levels. His research lab collaborates internationally, hosting visiting scholars and fostering innovation in smart systems and transportation.

• Artificial Intelligence
• Robotics
• Autonomous Systems
• +۵ مورد دیگر

Nisar Ahmed is an Associate Professor at the University of Colorado within the Aerospace Engineering Sciences department. His research focuses on the intersection of Artificial Intelligence , Robotics , and Autonomous Systems , emphasizing decision-making under uncertainty, sensor fusion, and human-machine collaboration. Key research interests include: Active Inference for autonomous planning Decentralized Data Fusion in multi-robot systems Machine Self-Confidence and competency assessment Reinforcement Learning for spacecraft and robotic guidance Uncertainty Quantification in dynamic environments Recent publications highlight trends in Pareto-optimal decision-making , Bayesian optimization , contextual bandits , and trust calibration for UAS and planetary rovers. His work integrates probabilistic modeling with real-time autonomy , ensuring robustness in applications like search-and-rescue missions and lunar exploration. Contact: Nisar.Ahmed@Colorado.EDU

• Target Tracking
• Navigation
• SLAM
• +۴ مورد دیگر

Edmund Førland Brekke is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU). He leads the Autosit and Autosight projects, and serves as a work package leader in the SFI Autoship center. His research focuses on target tracking, navigation, and SLAM, with applications in collision avoidance for unmanned vessels. He co-founded the company Zeabuz for marine surface autonomy solutions. PhD in Technical Cybernetics (NTNU, 2010) MSc in Industrial Mathematics (NTNU, 2005) Research Interests: Edmund specializes in theoretical foundations of multitarget tracking, integrating target tracking with navigation/SLAM, and applying these to autonomous maritime collision avoidance. His work addresses challenges in heavy-tailed clutter, sensor fusion, and situational awareness for autonomous ferries and river barges. Publications Trends: His recent work (2018–2022) emphasizes collision avoidance algorithms, sensor fusion, and SLAM for autonomous vessels. Key areas include maritime radar tracking, trajectory prediction using AIS data, and integration of visual/Lidar sensors for navigation. Guidance: He has supervised numerous PhD candidates on topics like digital twins, multi-sensor tracking, and risk assessment for autonomous ships, including graduates from 2014–2024. Projects: Active in Autoferry (autonomous ferries), Autobarge (river barges), and the ORCAS initiative. Collaborates with the SFI Autoship center.

Hemchandra Shertukdeمشاهده پروفایل

استاد

• Signal Processing
• Multitarget Tracking
• Multisensor Data Fusion
• +۷ مورد دیگر

Hemchandra Shertukde is a Professor in the Department of Electrical and Computer Engineering at the University of Hartford's College of Engineering, Technology, and Architecture, and a Senior Lecturer at Yale University. With a PhD from the University of Connecticut and a BTech from IIT Kharagpur, his career spans academia, corporate leadership (CEO of MedScanSonics), and industry innovation (EHV transformers at Crompton Greaves). Research Interests: Shertukde specializes in signal processing, power systems, and multisensor data fusion. His work includes fault diagnostics in transformers, smart grid applications, electric vehicle technology (GREEN 707 project), and medical devices (CADSCAN patent #7,291,111). Publications Focus: His 7 journal articles (1988-1993) center on precision target tracking using imaging/passive sensors, with applications in defense and aerospace. Later work shifted to power systems and renewable energy. Awards & Grants: Bent Award for Creativity (1997) DOE Grant: $492,000 for photovoltaic systems (2008) Co-PI: $2.4M Army grant (2010-2012) Vincent B. Coffin Grants (1989, 1992) Projects & Leadership: Advised the GREEN 707 electric vehicle team; chaired IEEE standards for transformer diagnostics; holds patents in medical devices and power systems.

Anders Rødningsbyمشاهده پروفایل

دانشیار

• Navigation Systems
• Signal Processing
• Autonomous Systems
• +۵ مورد دیگر

Anders Rødningsby is an Associate Professor (20% position) at the University of Oslo, affiliated with the Section for Autonomous Systems and Sensor Technologies within the Institute of Transport Economics (ITS). His research focuses on navigation systems, signal processing, autonomous systems, and sensor technologies. Recent work emphasizes jamming and spoofing countermeasures in satellite navigation, UAV navigation errors, and underwater tracking algorithms. Research Interests : His interdisciplinary work spans engineering and applied physics, with a strong emphasis on practical applications such as coastal navigation security, GNSS vulnerability analysis, and drone-based photovoltaic inspection. He has contributed to advancements in probabilistic data association filters, wake detection in tracking systems, and RF interference mitigation. Publications : His publications reflect a consistent focus on navigation and signal processing challenges, from underwater tracking (2007–2009) to modern jamming detection (2023–2025). He collaborates widely, including with institutions like the Norwegian Defense Research Establishment (FFI). Grants and Advising : While specific grants are not detailed, his active publication record suggests sustained research funding. No formal advisee名单 are listed. Labs/Teams : Active within the Autonomous Systems and Sensor Technologies section at ITS, contributing to applied research in transportation and navigation technologies.

• Medicinal Chemistry
• Anticancer Drug Design
• Antiviral Compound Development
• +۴ مورد دیگر

Professor Panagiotis Marakos serves in the Department of Pharmaceutical Chemistry at the National and Kapodistrian University of Athens' Faculty of Pharmacy. His academic career spans over four decades since earning his Pharmacy degree (1982) and PhD in Pharmaceutical Chemistry (1987) from the same institution. He teaches core undergraduate courses including Pharmaceutical Chemistry II/IV and laboratory techniques, alongside graduate-level Advanced Medicinal Chemistry. His research focuses on medicinal chemistry with emphasis on anticancer drug design , antiviral compound development , and cardioprotective agents . Key areas include: Synthesis of pyrazolopyridine derivatives as cytotoxic/angiogenesis inhibitors Development of H₂S-releasing hybrids for cardiovascular protection Nucleoside analogues targeting viral replication (HCV/fungal transporters) Senescence biomarkers and senolytic platforms for aging-related pathologies Analysis of his 15 most recent publications (2022-2025) reveals dominant trends in kinase inhibition (DYRK1A/CLK1 for Alzheimer's), mitochondrial ATP synthase targeting for cardiac protection, and advanced senescence detection tools using fluorescent probes. His collaborative network includes prominent researchers like N. Pouli, N. Lougiakis, and international groups in cancer biology and gerontology. Current projects involve micelle-encapsulated senolytics and dual adenosine receptor antagonists with therapeutic applications in oncology and cardiovascular disease.

Lougiakis Nikolaosمشاهده پروفایل

استادیار

• Pharmaceutical Chemistry
• Medicinal Chemistry
• Organic Synthesis
• +۴ مورد دیگر

Nikolaos Lougiakis is an Assistant Professor in the Department of Pharmacy at the National and Kapodistrian University of Athens, specializing in Pharmaceutical Chemistry. His research focuses on designing organic compounds with anticancer, antiviral, and cardioprotective properties, as well as developing biomarkers for cellular senescence detection. He holds a PhD in Pharmaceutical Chemistry from the same university (2008) and has conducted postdoctoral research across multiple institutions, including the University of Camerino in Italy. Key research areas include structure-activity relationships (SAR) of purine analogues, synthesis of bioactive natural product analogues, and targeted drug delivery systems. Education: BSc in Pharmacy, National and Kapodistrian University of Athens (2001) MSc in Pharmaceutical Chemistry, National and Kapodistrian University of Athens (2003) PhD in Pharmaceutical Chemistry, National and Kapodistrian University of Athens (2008) Research Interests: Lougiakis’ work bridges organic synthesis and medicinal chemistry, with an emphasis on developing multitarget therapeutics. His lab investigates novel heterocyclic compounds for cancer therapy, antiviral applications, and cardioprotection. Recent advancements include fluorophore-conjugated reagents for senescent cell detection and enzyme inhibitors targeting myocardial ischemia. He collaborates internationally, contributing to senolytic drug platforms and machine learning tools for SIRT2 inhibitor discovery. Awards: Undergraduate Scholarship (Greek State Scholarships Foundation, 1998–2000) Postgraduate Scholarship (Operational Programme 'Education', 2001–2003) Teaching: Lougiakis instructs undergraduate courses in Organic Chemistry and Pharmaceutical Chemistry, as well as graduate-level Advanced Organic Chemistry modules. Labs/Teams: Active in the Section of Pharmaceutical Chemistry, collaborating with the Medicinal Chemistry Unit and interdisciplinary teams in senescence research and cardiovascular drug development.

Reza Hoseinnezhadمشاهده پروفایل

استاد

• Electrical and Electronic Engineering
• Artificial Intelligence and Image Processing
• Mechanical Engineering
• +۳ مورد دیگر

Professor Reza Hoseinnezhad is a faculty member in the School of Engineering at RMIT University, Australia. His research focuses on advanced engineering systems, including robotics, artificial intelligence, and autonomous systems. His work spans domains such as multi-object tracking, sensor fusion, and control systems with applications in underwater vehicles, autonomous driving, and manufacturing. He actively supervises research projects in areas like electronic seatbelt systems, anomaly detection, and swarm tracking. Research interests include Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, and Manufacturing Engineering. His contributions leverage statistical methods, machine learning, and optimization to solve complex engineering challenges. Recent projects emphasize robust filtering, adversarial attack defenses, and distributed information fusion in connected systems. Professor Hoseinnezhad’s publications address cutting-edge topics like geometrically-informed particle filters, reinforcement learning for quadrupedal robots, and defect detection via point pattern analysis. His work bridges theoretical advancements with practical industrial and safety applications.

Mohammad Al-Jarrahمشاهده پروفایل

پژوهشگر

• Wireless communications
• Signal processing
• IoT security
• +۲ مورد دیگر

Mohammad Al-Jarrah is a Research Associate in Cyber Security at the University of Manchester's Department of Computer Science. His technical expertise spans wireless communications, signal processing, and IoT security, with recent focus on integrated sensing-communication systems and reconfigurable intelligent surfaces. Research highlights include: Optimization of IRS-assisted NOMA systems Simultaneous communication-localization frameworks Kullback-Leibler divergence applications in ISAC Underwater acoustic source localization He contributes to developing efficient algorithms for 5G/6G networks and IoT security, with publications in signal processing and wireless communications. Previously served as Lecturer at Salman bin Abdulaziz University and Lab Instructor at Khalifa University.

Michael Stroudمشاهده پروفایل

استاد

• Cognitive Psychology
• Visual Attention
• Eye Movements
• +۳ مورد دیگر

Michael Stroud is a Professor of Psychology at Merrimack College's School of Arts & Sciences. His research focuses on visual attention mechanisms and pedagogical innovation in teaching and learning. He investigates how eye movements reveal cognitive processes during multitarget visual searches, with applications to airport security and medical diagnostics. Ph.D., Cognitive Psychology, University of Massachusetts Amherst M.A., Psychological Science, California State University, Chico B.S., Biopsychology, University of California, Santa Barbara Research interests include: - Multitarget search efficiency and cognitive load - Educational strategies enhancing student comprehension - Eye tracking as a tool for understanding attentional processes Recent work highlights ineffective note-taking methods and APA citation barriers for novice readers, as well as working memory's role in dual-target search. His 2017 Apple Distinguished Educator award recognizes innovative use of technology in teaching. Advising and grants: No specific advisees listed. Active in educational technology research collaborations.