Jie Chen

Area of Study / Keywords

Biomedical Engineering Integrated Circuits and Systems Microsystems and Nanodevices

About

Jie Chen received his B.Sc. degree in Electrical Engineering from Fudan University, China, and his M.Sc. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland at College Park, USA. He was a professor in the Department of Electrical and Computer Engineering and an adjunct professor in the Department of Biomedical Engineering at the University of Alberta. He is currently Dean of the College of Biomedical Engineering at Fudan University, China. He was a visiting professor at Yale University in 2018. Dr. Chen is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Canadian Academy of Engineering, the American Institute of Medical and Biological Engineering, and the Engineering Institute of Canada. He was elected to the Board of Governors of the IEEE Circuits and Systems Society for 2022–2024 and served as an IEEE Distinguished Lecturer of the Circuits and Systems Society from 2016 to 2017. His supervised students received the Best Student Paper Award at the 2007 IEEE/National Institutes of Health (NIH) Life Science Systems and Applications Workshop for their work on glucose-coated gold nanoparticles to enhance radiation cytotoxicity. His co-supervised student also received the Best Poster Award from the International Union of Crystallography at the Conference on Biology and Synchrotron Radiation (BSR) in Hamburg, Germany, in 2013, in recognition of the most novel use of synchrotron radiation or free-electron lasers in biology. He has supervised or co-supervised more than 80 highly qualified personnel. Among them, some have started their own companies, while others have continued their graduate studies, including one who entered Stanford University and one who joined Yale Medical School. One student became a faculty member at Johns Hopkins University.

Dr. Chen has received several prestigious awards, including the Distinguished Alumni Award from the University of Maryland in 2020; the Killam Annual Professorship Award for 2015–2016, one of the highest honours awarded to professors at Canadian universities for outstanding contributions to teaching, research, and community service; the McCalla Professorship for 2016–2017, one of the highest honours awarded to professors at the University of Alberta; and the Canada Foundation for Innovation Leaders Opportunity Fund Award in 2011. He received the Member of the Year Award from the Association of Chinese Canadian Professors in 2012 in recognition of his outstanding leadership.

He was the Technical Committee Chair of Bionanotechnology and BioMEMS of the IEEE Engineering in Medicine and Biology Society (EMBS). He has also served as Vice Chair of the IEEE EMBS Fellow Selection Committee, Chair of Technical Committee on Therapeutic Systems and Technologies (TC-TST) and as a steering committee member for the IEEE Journal of Translational Engineering in Health and Medicine. He was an Associate Editor for the IEEE Open Journal of Engineering in Medicine and Biology and IEEE Transactions on Biomedical Circuits and Systems. He has also served as an Associate Editor for IEEE Transactions on Multimedia and IEEE Signal Processing Magazine, as well as a guest editor for several special issues.

His collaborative research on the design of a miniaturized ultrasound device for intra-oral dental tissue formation was featured in a 2006 Reader’s Digest article on major medical breakthroughs in Canada. The invention was reported in more than 20 news and media publications worldwide and was cited in a front-page article in Canada’s national newspaper, The Globe and Mail, on June 28, 2006. The device received Health Canada approval in 2016. He also helped establish two Bell Labs spin-off companies: Flarion, which was acquired by Qualcomm in 2005, and iBiquity, which was acquired by California-based DTS in 2015.

Research

Research interests

Dr. Chen’s interdisciplinary research areas include:

• Biomedical Circuits and Systems:(i) Developing wearable low-intensity pulsed ultrasound (LIPUS) devices for treating Alzheimer’s disease. (ii) Developing custom-designed chips for brain–computer interfaces.

• AI for Mental Health: Applying artificial intelligence to mental health diagnosis and therapy.

• Micro/Nanotechnology and Biomedicine: (i) Designing portable point-of-care biosensors for detecting genomic, proteomic, and metabolic biomarkers in bodily fluids, such as urine and blood. (ii) Developing organ-on-chip devices for regenerative medicine.

Selected publications

Dr. Chen has authored three books and more than 270 peer-reviewed journal and conference papers. His work has been published in leading IEEE journals and flagship conferences, including Proceedings of the IEEE, IEEE Transactions on Affective Computing, and IEEE Journal of Solid-State Circuits, as well as in high-impact interdisciplinary journals such as npj Digital Medicine from Nature, PNAS, ACS Nano, Physical Review Letters, Biosensors and Bioelectronics, Small, Microsystems & Nanoengineering (Nature), and npj Mental Health (Nature). According to Google Scholar, Dr. Chen has an h-index of 50 and an i10-index of 136. His most highly cited paper has received more than 924 citations, and his total citation count exceeds 11,000.

1. MEMS/NMES-based Microfluidic Biosensors:

·   Book: Jie Chen, Scott MacKay, Yiwei Feng, “Bionanotechnology: Engineering Principles and Practices”, McGraw Hill, ISBN 1260464148, April 2022

·   Tianxiang Jiang, Zuyuan Tian, Mohamed Shaheen, Xuanjie Ye, Ahmed Abdelhamid, Bingxuan Li, Yiwei Feng, Daniel To, Xihua Wang and Jie Chen, "Microwell-based nDEP Multifunctional Microfluidic System for Single-cell Capture and Analysis”, Microsystems & Nanoengineering (Nature), 2026

·   Ahmed A. Khorshed, Tianxiang Jiang, Jie Chen, “A Label-Free Point-of-Care Electrochemical Biosensor for Early and Accurate Detection of Monkeypox”, Biosensors and Bioelectronics, 2025

·   Zuyuan Tian, Mohamd Shaheen, Tianxiang  Jiang,  Shaoxi Wang, Xihua Wang, Jie Chen, “An electroactive microfluidic platform integrated with AM-pDEP focusing and side-counter design for selective cell sorting and single-cell quantification”. Biosensors and Bioelectronics: X 21 (2024), 100549

·   Zuyuan Tian, Xihua Wang and Jie Chen, “On-chip dielectrophoretic single-cell manipulation”, Nature Microsystems & Nanoengineering,10 (2024), 117  

·   Tianxiang Jiang, Xuanjie Ye, Zuyuan Tian, Mohamed Shaheen, Ahmed Abdelhamid, Yiwei Feng, Bingxuan Li, Yusheng Zhang, Xihua Wang, Jie Chen, “Sensitivity Optimization of impedance-based biosensor for point-of-care applications”, Biosensors and Bioelectronics x, 2024

·    Songtian Bai, Pablo Gonzalez-Vasquez, Claudia Torres- Calzada, Scott MacKay, James Cook, Yeganeh Khaniani, Gareth Davies, Upasana Singh, Prashanthi Kovur, Jie Chen, David S. Wishart, “Development of a point-of-care colorimetric metabolomic sensor platform”, Biosensors and Bioelectronics, 253 (2024) 116186

·    Lian C. T. Shoute, Carmen L. Charlton, Jamil N. Kanji, Shawn Babiuk, Lorne Babiuk  and Jie Chen, “Faradaic Impedimetric Immunosensor for Label-Free Point-of-Care Detection of COVID-19 Antibodies using Gold Interdigi-tated Electrode Array”, Biosensors, 2023

·    Lian C. T. Shoute, Gaser N. Abdelrasoul, Yuhao Ma, Pedro A. Duarte, Cole Edwards, Ran Zhuo, Jie Zeng, Yiwei Feng, Carmen L Charlton, Jamil N. Kanji, Shawn Babiuk, Jie Chen “Label-free Impedimetric Immunosensor for Point-of-Care Detection of COVID-19 Antibodies", Nature, Microsystems and Nanoengineering, 2022

·    Pedro A. Duarte, Lukas Menze, Zuyuan Tian, Oleksandra Savchenko, Bingxuan Li and Jie Chen, “Dielectric analysis of Sclerotinia sclerotiorum airborne inoculum by the measurement of dielectrophoretic trapping voltages using a microfluidic platform”, Biosensors and Bioelectronics: X, 2022

·    Yeganeh Khaniani, Mahdi Ghadiri, Yuhao Ma, Jie Zeng, David Wishart, Shawn Babiuk, Carmen Charlton, Jamil N. Kanji and Jie Chen, “A gold nanoparticle-protein G electrochemical affinity biosensor for the detection of SARS-CoV-2 antibodies – a surface modification approach”, Scientific Reports, 2022

·    Jie Zeng, Pedro A. Duarte, Oleksandra Savchenko, Lian Shoute, Yuhao Ma, Yeganeh khaniani, Shawn Babiuk, Ran Zhuo, Gaser N. Abdelrasoul, Carmen Charlton, Jamil N. Kanji, Lorne Babiuk, Cole Edward and Jie Chen, “An impedimetric biosensor for COVID-19 serology test and modification of sensor performance via dielectrophoresis force”, Biosensors and Bioelectronics, 2022

·    Yuhao Ma, Daniel To, Jie Zeng, Lian C. T. Shoute, Shawn Babiuk, Ran Zuo, Carmen Charlton, Jamil N Kanji, Lorne Babiuk, Jie Chen, “Improving immunoassay detection accuracy of anti-SARS-CoV-2 antibodies through dual modality validation”, Biosensors and Bioelectronics: X, 2022

·    Lukas Menze, Pedro A. Duarte, Lacy Haddon, Michael Chu and Jie Chen, "Selective Single-cell Sorting Using a Multisectorial Electroactive Nanowell Platform", ACS Nano, 16, 1, 211-220, 2022

·    Pedro A. Duarte, Lukas Menze, Lian Shoute, Jie Zeng, Oleksandra Savchenko, Jingwei Lyu, and Jie Chen, "Highly Efficient Capture and Quantification of the Airborne Fungal Pathogen Sclerotinia Sclerotiorum Employing a Nanoelectrode-activated Microwell Array", ACS OMEGA (to appear in 2022)

·    Daniel T. Bacheschi, William Polsky, Zachary Kobos, Shari Yosinski, Lukas Menze, Jie Chen, and Mark A. Reed, “Overcoming the sensitivity – throughput tradeoff in Coulter counters: a novel side counter design”, Biosensors and Bioelectronics, 2020,

·    Pedro A. Duarte, Lukas Menze, Gaser N. Abdelrasoul, Shari Yosinski, Zak Kobos, Riley Stuermer, Mark Reed, Jian Yang, Xiujie S. Li and Jie Chen, “Single Ascospore Detection for the Forecasting of Sclerotinia Stem Rot of Canola”, Lab on a Chip, 2020

·    Gaser N. Abdelrasoul, Afreen Anwar, Scott Mackay, Marcus Tamura, Manzoor A. Shah, Damase P. Khasa, Ruth R. Montgomery, Albert I. Ko, Jie Chen, “DNA Aptamer-based Non-faradaic Impedance Biosensor for Detecting E. Coli”, Analytica Chimica Acta, 1107 (22), 135-144, 2020

·    Remko van den Hurk, Masoud Baghelani, Jie Chen, Mojgan Daneshmand and Stephane Evoy, “Al-Mo Nanocomposite Functionalization for Membrane-based Resonance Detection of Bovine Herpesvirus-1”, Sensors & Actuators: A. Physical 296, 186-191, 2019

·    Gasser N. Abdelrasoul, Scott Mackay, Saad Y. Salim, Kathleen P. Ismond, Marcus Tamura, Charfeddine Khalifa, Emma Mannan, Donghai Lin, Tanushree Mandal, Ruth R. Montgomery, David S. Wishart, Jie Chen and Rachel G. Khadaroo, “Non-Invasive Point-of-Care Device to Diagnose Acute Mesenteric Ischemia”, ACS Sensor, 3(11) 2296-2302, 2018

·    Lian C. T. Shoute, Afreen Anwar, Scott MacKay, Gaser N. Abdelrasoul, Donghai Lin, Zhimin Yan, Anh H. Nguyen, Mark T. McDermott, Manzoor A Shah, Jian Yang, Jie Chen and Xiujie S. Li, “Immuno-impedimetric Biosensor for Onsite Monitoring of Ascospores and Forecasting of Sclerotinia Stem Rot of Canola”, Scientific Reports, 8(12396), 2018

·    Scott MacKay, Gaser Nagah, Marcus Tamura, Donghai Lin, Zhimin Yan and Jie Chen, “Using Impedance Measurements to Characterize Surface Modified with Gold Nanoparticles”, Sensors, 17(9), 2141, 2017.

·    Scott MacKay, Peter Hermansen, David Wishart and Jie Chen, “Simulations of interdigitated electrode interactions with gold nanoparticles for impedance-based biosensing applications”, Sensors, 15(9), 22192, 2016.

2. Biomedical and Healthcare Devices: 

·        Darian Volarić, Gordana Žauhar, Jie Chen, Ana Terezija Jerbić Radetić, Rok Kostanjšek, Hrvoje Omrčen, Silvije Šegulja, Edi Rođak and Olga Cvijanović Peloza, “Low-Intensity Pulsed Ultrasound Enhances Intramembranous Bone Healing in a Critical-Size Bone Defect of the Rat Calvaria”, Journal of Clinical Medicine, 2026

·        Xuanjie Ye, Xiaoxue Jiang, Shuren Wang and Jie Chen, “A Low-Intensity Pulsed Ultrasound Interface ASIC for Wearable Medical Therapeutic Device Applications”, Electronics 13, 2024, 1154

·        Darian Volari´c, Gordana Žauhar, Jie Chen, Ana Terezija Jerbi´c Radeti´c, Hrvoje Omrˇcen, Antonio Raiˇc, Roko Pirovi´c and Olga Cvijanovi´c Peloza, “The effect of low-intensity pulsed ultrasound on bone regeneration and the expression of osterix and cyclooxygenase-2 during critical size bone defect repair”, International Journal of Molecular Sciences, 2024

·        Ye Li, Yiqing Wu, Qi Luo, Xuanjie Ye, Jie Chen, Yuanlin Su, Ke Zhao, Xinmin Li, Jing Lin, Zhiqian Tong , Qi Wang , Dongwu Xu, “Neuropsychiatric behavioral assessments in mice after acute and long-term treatments of low-intensity pulsed ultrasound”, The American Journal of Alzheimer's Disease & Other Dementias, 2023

·        Xuanjie Ye, Zitong Wang, Rebekah van Bruggen, Xin-Min Li, Yanbo Zhang, and Jie Chen, “Low-intensity Pulsed Ultrasound Enhances Neurite Growth in Serum-starved Human Neuroblastoma Cells”, Frontiers in Neuroscience, 2023

·        Xuanjie Ye, Lexi Wu, Kaining Mao, Yiwei Feng, Jiajun Li, Lei Ning, and Jie Chen, “Bioimpedance Measurement of Knee Injuries using Bipolar Electrode Configuration”, IEEE Transaction on Biomedical Circuits and Systems, 2022

·        Huining Guo, Glen Baker, Kelly Hartle, Ester Fujiwara, Junhui Wang, Yanbo Zhang, Jida Xing, Haiyan Lyu, Xin-Min Li, and Jie Chen, "Exploratory Study on Neurochemical Effects of Low Intensity Pulsed Ultrasound in Brains of Mice", Medical & Biological Engineering & Computing, 2021

·        Oleksandra Savchenko, Jida Xing, Mark Burrell, Robert Burrell and Jie Chen, “Impact of Low-intensity Pulsed Ultrasound on the Growth of Schizochytrium sp. for Omega-3 Production”, Biotechnology and Bioengineering, 2020

·        Xiaoxue Jiang, Wai Tung Ng and Jie Chen, “A Miniaturized Low-Intensity Ultrasound Device for Wearable Medical Therapeutic Applications”, IEEE Transaction on Biomedical Circuits and Systems, special issue on Wearable and Flexible Integrated Sensors for Screening, Diagnostics, and Treatment, 13(16) 1372-1382, 2019

·        Xiaoxue Jiang, Oleksandra Savchenko, Yufeng Li, Shiang Qi, Tianlin Yang, Wei Zhang and Jie Chen, “A Review of Low-intensity Pulsed Ultrasound for Therapeutic Applications”, Transactions on Biomedical Engineering, 66(10) 2704-2718, 2019

·        Jida Xing, Shrishti Singh, Yupeng Zhao, Yan Duan, Huining Guo, Chenxia Hu, Allan Ma, Rajan George, James Z. Xing, Ankarao Kalluri, Isaac G. Macwan, Prabir Patra, and Jie Chen, “Increasing Vaccine Production Using Pulsed Ultrasound Waves”, PLOS ONE, 12(11), 2017

·        Michael C. Schultz, Jian Zhang, Xian Luo, Oleksandra Savchenko, Liang Li, Michael Deyholos and Jie Chen, “Impact of Low-Intensity Pulsed Ultrasound on Transcript and Metabolite Abundance in Saccharomyces cerevisiae”, Journal of Proteome Research, 16(8), 2975-2982, 2017

·        Oleksandra Savchenko, Jida Xing, Xiaoyan Yang, Quanrong Gu, Mohamed Shaheen, Min Huang, Xiaojian Yu, Robert Burrell, Prabir Patra and Jie Chen, “Algal Cell Response to Pulsed Waved Stimulation and Its Application to Increase Algal Lipid Production”, Scientific Reports, 7(42003), 2017

·        Yupeng Zhao, Jida Xing, James Z. Xing, Woon T. Ang, and Jie Chen, “Applications of Low-intensity Pulsed Ultrasound to Increase Monoclonal Antibody Production in CHO Cells Using Shake Flasks or Wavebags,” Ultrasonics, Vol. 54, No. 6, 2014, 1439–1447. Invited to speak at the Cambridge Healthtech Institute’s Annual Recombinant Protein Expression and Production meeting, Jan. 2015 in San Diego, USA.

·        Mohamed Shaheen, Michael Choi, Woon Ang, Yupeng Zhao, James Xing, Ray Yang, Jida Xing, Jian Zhang and Jie Chen, “Application of Low-Intensity Pulsed Ultrasound to Increase Bio-ethanol Production,” Renewable Energy Volume 57, 2013, 462-468

·        Peng Xu, Hilal Gul-Uludag, Woon T. Ang, Xiaoyan Yang, Min Huang, Leah Marquez-Curtis, Locksley McGann, Anna Janowska-Wieczorek, James Xing, Eric Swanson and Jie Chen, “Low-intensity pulsed ultrasound-mediated stimulation of hematopoietic stem/progenitor cell viability, proliferation and differentiation in vitro,” Biotechnology Letters, 2012, 34(10):1965-1973

·        Yupeng Zhao, Woon T. Ang, James Xing, Jian Zhang, and Jie Chen, “Applications of Ultrasound to Enhance Mycophenolic Acid Production,” Ultrasound in Med. & Biol., 2012, 38(9):1582–1588

·        James Z Xing, Xiaoyan Yang, Peng Xu, Woon T. Ang, and Jie Chen, “Ultrasound Enhanced Monoclonal Antibody Production,” Ultrasound in Medicine and Biology, 2012, 38(11):1949–1957

·        W. T. Ang, Cristian Scurtescu, Wing Hoy, Tarek El-Bialy, Ying Tsui and Jie Chen, “Design and Implementation of Therapeutic Ultrasound Generating Circuit for Dental Tissue Formation and Tooth-Root Healing,” IEEE Trans. on Biomedical Circuits and Systems, 2010, 4(1)

3. Artificial Intelligence

·        Peng Tan, Yuqi Wu, Xinrong Chen, Junfang Chen, Zhixing Guo, Xiaobing Lu, Jie Chen (corresponding author)*, Hongtao Zhang (corresponding author)*,“A systematic review on mindfulness-based immersive interventions in depressive disorders”, npj Mental Health (Nature) 2026.

·        Yuqi Wu, Guangya Wan, Jingjing Li, Shengming Zhao, Lingfeng Ma, Tianyi Ye, Ion Pop, Michael L Zhang, Yanbo Zhang, Jie Chen, "WiseMind: Recontextualizing AI with a Knowledge-Guided, Theory-Informed Multi-Agent Framework for Instrumental and Humanistic Benefits", npj Digital Medicine (Nature), 2026

·        Yuqi Wu, Guangya Wan, Rachael Dong, Iman Z Kassam, Brittany C Wiseman, Judith Rho, Nicole Graziano, Xihua Wang, Yanbo Zhang and Jie Chen, “Mind AI’s Mind: A Clinically Aligned Explainable AI Pipeline for Depression Diagnosis via Large Language Models”, IEEE Trans. on Affective Computing,  2025

·        Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li, “Reasoning aware self-consistency: Leveraging reasoning paths for efficient LLM sampling,” in Proceedings of the 2025 Conference of the Nations of Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, Association for Computational Linguistics, 2025.

·        Guangya Wan, Yuqi Wu, Hao Wang, Shengming Zhao, Jie Chen, Sheng Li, “Derailer-rerailer: Adaptive verification for efficient and reliable language model reasoning,” in Findings of the 63rd Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, 2025.

·        Yuqi Wu, Yanbo Zhang and Jie Chen, “CALLM: Clinical Interview Data Augmentation with large language model for automated mental disorder diagnosis model”, 24th World Congress of Psychiatry, Mexico City, Nov. 14-17, 2024

·        Yuqi Wu, Kaining Mao, Yanbo Zhang and Jie Chen, "CALLM: Enhancing Clinical Interview Analysis through Data Augmentation with Large Language Models", IEEE Journal of Biomedical and Health Informatics, 2024

·        Wei Zhang, Kaining Mao, and Jie Chen, “A Multimodal Approach for Detection and Assessment of Depression Using Text, Audio and Video”, Phenomics, 2023

·        Kaining Mao, Yuqi Wu, Jie Chen, "A Systematic Review on Automated Clinical Depression Diagnosis", Nature npj Mental Health, 2023

·        Yuqi Wu, Kaining Mao, Liz Dennett, Yanbo Zhang, Jie Chen, "A Systematic Review of Machine Learning in PTSD Studies: Evaluating AI-based Automated PTSD Diagnosis", Nature npj Mental Health, 2023

·        Kaining Mao, Deborah B. Wang, Tiansheng Zheng, Rongqi Jiao, Yanhui Zhu, Bin Wu, Lei Qian, Wei Lyu, Jie Chen and Minjie Ye, “Analysis for Automated Clinical Depression Diagnosis in a Chinese Corpus”, IEEE Transactions on Biomedical Circuits and Systems, 2023

· Kaining Mao, Wei Zhang, Deborah Baofeng Wang, Ang Li, Rongqi Jiao, Yanhui Zhu, Bin Wu, Tiansheng Zheng, Lei Qian, Wei Lyu, Minjie Ye, and Jie Chen, “Prediction of Depression Severity Based on the Prosodic and Semantic Features with Bidirectional LSTM and Time Distributed CNN”, IEEE Transaction on Affective Computing, Feb. 2022

·        Dan Jin, Philippe Henry, Jacqueline Shan, Jie Chen, “Identification of chemotypic markers in three chemotype categories of cannabis using secondary metabolites profiled in inflorescences, leaves, stem bark, and roots”, Frontiers, 7, 2021

·        Dan Jin, Philippe Henry, Jacqueline Shan, Jie Chen, “Classification of cannabis strains in the Canadian market with discriminant analysis of principle components using genome-wide single nucleotide polymorphisms”, PLOS One, 6, 2021

·        Shi-ang Qi, Qian Wu, Zhenpu Chen, Wei Zhang, Yongchun Zhou, Kaining Mao, Jia Li, Yuanyuan Li, Jie Chen, Youguang Huang, Yunchao Huang, “High-resolution Metabolomic Biomarkers for Lung Cancer Diagnosis and Prognosis”, Scientific Reports 11 (11805), 2021

·        Dan Jin, Philippe Henry, Jacqueline Shan, Jie Chen, “Identification of Phenotypic Characteristics in Three Chemotype Categories in the Genus Cannabis”, HortScience, 56(4), 2020

·        Dan Jin, Kaiping Dai, Zhen Xie, Jie Chen, “Secondary Metabolites Profiled in Cannabis Inflorescences, Leaves, Stem Barks, and Roots for Medicinal Purposes. Scientific Reports. 10(1):1-14, 2020

4. Functional Nanomaterials: 

·  Zhenpu Chen, Lun Zhang, Kaining Mao, Jia Li, Yongchun Zhou, Jiamin Zheng, Marcia LeVatte, David S. Wishart, Youguang Huang, Yunchao Huang and Jie Chen,“Identification of high performing blood metabolite biomarkers of lung cancer in a Chinese population”, Nature Phenomics, 2024 

·  Meng Xiao, Jinlin Wu, Duanduan Chen, Chenghu Wang, Yanfen Wu, Tucheng Sun and Jie Chen, “Ascending Aortic Volume: A Feasible Indicator for Ascending Aortic Aneurysm Elective Surgery?”, Acta Biomaterialia (impact factor 10.63), 2023

· Wei Zhang, Gaser N. Abdelrasoul, Oleksandra Savchenko, Abdalla Abdrabou, Zhixiang Wang, Jie Chen, “Ultrasound-assisted Magnetic Nanoparticle-based Gene Delivery”, PLOS One, 2020

·        Anh H. Nguyen, Gaser N. Abdelrasoul, Donghai Lin, Hamid Maadi, Junfeng Tong, Grace Chen, Richard Wang, Afreen Anwar, Lian Shoute, Qiang Fang, Zhixiang Wang and Jie Chen, “Polyethylenimine-coated Iron Oxide Magnetic Nanoparticles for High Efficient Gene Delivery”, Applied Nanoscience, 8(4) 811-821, 2018

·        Wuyang Jin, Donghai Lin, Anh H. Nguyen, Gaser N. Abdelrasoul, Jian Chen, Arthur Mar, Qiang Fang, Yutian Wang and Jie Chen, “Transfection of Difficult-to-transfect Rat Primary Cortical Neurons with Magnetic Nanoparticles”, Journal of Biomedical Nanotechnology, 14(9) 1654-1664, 2018

·        Weiting Gu, Jie Chen, Prabir Patra, Xiaoyan Yang, Quanrong Gu, Lingxuan Wei, Jason P. Acker, and Beihua Kong, “Nanoformulated Water-Soluble Paclitaxel to Enhance Drug Efficacy and Reduce Hemolysis Side Effect”, Journal of Biomaterials Applications, 32(1):66-73, 2017

·        Martin Niestroj, Jie Chen, Dean Chapman, Darrell Mousseau, Brian Bewer, Nicholas Bolibruch, and Josef Hormes, “Experimental-focused radio-sensitizing studies of gold nanoparticles in the low-to-middle X-ray regime,” Biology and Synchrotron Radiation (BSR) - Hamburg/Germany September 2013. Received the best poster award by the International Union of Crystallography. Martin Niestro, Brian Bewer, Darrell Mousseau, Dean Chapman, Jie Chen and Joseph Hormes, “A Monochromatic X-ray Irradiation System for In Vitro Studies at Synchrotron Beamlines”, Biomedical Physics & Engineering Express, 2(5), 2016

·        Wilson Roa, Xiaojing Zhang, Linghong Guo, Andrew Shaw, Xiuying Hu, Yeping Xiong, Sunil Gulavita, Samir Patel, Xuejun Sun, Jie Chen, Ronald Moore, and James Z. Xing, “Gold-nanoparticles sensitize radiotherapy of prostate cancer cells by regulation of cell cycle,” Nanotechnology, 2009, 20:375101

·        W. Zhu, Q.W. Shi, X.R. Wang, Jie Chen, Jinlong Yang, Jianguo Hou, “Shape of disorder broadened Landau subbands in grapheme,” Physical Review Letters, 2009, 102:056803

·        Tao Kong, Jie Zeng, Xiaoping Wang, Xiaoyan Yang, Jing Yang, Steve McQuarrie, Alexander McEwan, Wilson Roa, Jie Chen and James Z. Xing, “Enhancement of radiation cytotoxicity in breast cancer cells by localized attachment of gold nanoparticles”, Wiley-VCH SMALL Journal, 2008, 9:1537-1543

5. VLSI and Low-Power Circuits

·      Jiang Liu, Yuming He, Hua-Peng Liaw, Pietro Russo, Marios Gourdouparis, Xiongchuan Huang, Jie Chen and Yao-Hong Liu, “A Compressive Neural Telemetry with Address-Event-µPacket Encoding and Duty-Cycling IR-UWB Transmitter”, IEEE Transactions on Microwave Theory and Techniques, 2026

·        Yufeng Li, Yan Li, Deqiang Cheng, Fan Yang, Xuan Zeng and Jie Chen, “Improved Low-Power Cost-Effective DCT Implementation Based on Markov Random Field and Stochastic Logic”, IEEE Trans. on Video technology, 30(10), 2019Jie Chen

·        Yan Li, Yufeng Li, Han Jie, Jianhao Hu, Fan Yang, Xuan Zeng, Bruce Cockburn and Jie Chen, “Feedback-based Low-Power Soft-Error Tolerant Design for Dual Modular Redundancy”, IEEE Transactions on Very Large Scale Integrated Systems, 26(8), 2018

·        Yan Li, Yufeng Li, I-Chyn Wey, Fan Yang, Xuan Zeng, Xiaoxue Jiang and Jie Chen, "Low-Power Noise-Immune Nanoscale Circuit Design Using Coding-based Partial MRF Method", IEEE Journal of Solid State Circuits, 53(8), 2018

·        I-Chyn Wey, You-Gang Chen, Changhong Yu, An-Yeu (Andy) Wu and Jie Chen, “Design and implementation of cost-effective probabilistic-based noise-tolerant VLSI circuits,” IEEE Transactions on Circuits and Systems – I: Regular Papers, 2009, 56(11)

·        Iris R. Bahar, Jie Chen and Joe Mundy “A Probabilistic-based Design Methodology for Nanoscale Computation,” IEEE/ACM International conference on computer-aided circuit design, San Jose, USA, November 2003

Teaching

Over the past years, I teach "Engineering of Nanobiotechnological Systems"