| 教授 | 联系邮箱 | 负责课程 | 答辩评审 | | Steve Wang | steve.wang@nau.edu | 503, 693 | 软件工程 | | Zhenyu Wu | zhenyu.wu@nau.edu | 501 | | | Huan Huang | huan.huang@nau.edu | 620-624, 341 | | | Dewei Meng | dewei.meng@nau.edu | 500/1, 631 | | | Anson Xuan | weicheng.xuan@nau.edu | 611, 612, 640, 641 | | | Cindy Du | rongxia.du@nau.edu | 501/1, 613-614, 460 | | | Nathan Kang | nathaniel.kang@nau.edu | 632-634, 643-644, 694 | 数据分析 | | David Xue | dawei.xue@nau.edu | 500/3, 502, 692 | 信息安全 | | Jiaming Li | Jiaming.Li@nau.edu | 500/2, 642, 610, 630, 691 | 项目管理 |
姓名：Xichun Wang
官网介绍链接：https://directory.nau.edu/faculty?name=Steve%20Wang&person=xw247
联系方式：Steve.Wang@nau.edu 专业领域：计算机科学，计算生物学，生物信息学 职位：Assistant Teaching Professor
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NAU Online 教育背景 Education Background博士 - 希望之城国家医疗中心艾瑞&蔓拉生物科学研究生院，计算和定量医学
Ph.D. - City of Hope, Irell & Manella Grad School of BioSciences, Computational and Quantitative Medicine 硕士 - 旧金山大学，医疗保健服务公共管理
M.P.A. - University of San Francisco, Healthcare Services 本科 - 上海交通大学医学院，口腔医学
M.D. - Shanghai Jiao Tong University, Stomatology 教授寄语 Professor’s Word大家好，我是Steve Wang博士，这节课的讲师。我之前就读于希望之城国家医疗中心艾瑞&蔓拉生物科学研究生院，2019年毕业，获得计算和定量医学博士学位。在此之前，我于2010年在旧金山大学(USF)获得医疗保健服务公共管理硕士学位，2006年在上海交通大学医学院获得口腔医学学士学位。2015年开始在洛杉矶学院任教，在加入NAU之前教授计算机科学与技术、统计学和医疗保健管理等课程。 Hi, I’m Dr. Steve Wang, your instructor for this lesson. I attended City of Hope, Irell & Manella Grad School of Bio Sciences, graduated in 2019 with a PhD in Computational and Quantitative Medicine. Prior to that, I completed a master’s degree of Public Administration in Healthcare Services in 2010 from University of San Francisco (USF) and gained my MD degree in Stomatology from Shanghai Jiao Tong University, School of Medicine in 2006. I began my teaching career at Angeles College in 2015 teaching various CS, statistics, and healthcare administration courses before joining NAU. 办公时间 Office Hours周一至周五上午7时至8时，周一至周五下午5时至8时（太平洋标准时间）
(M, T, W, TH, F, 7 am – 8 am PST), (M, T, W, TH, F, 5 pm – 8 pm PST) 爱好 Hobbies绘画、科幻片、旅游
painting, sci-fi movies, and traveling 教育理念 Statement of Educational Philosophy:作为一名大学教授，我的目标是通过让学生们将学科知识与他们自己的实际生活联系起来，逐渐培养他们对这一学科领域的兴趣。我鼓励我的学生构建一个关键词汇和概念的框架，帮助他们建立自己对学习科目的系统理解，然后他们可以在相关课程、未来的职业或日常生活中使用。 As a university professor, I aim to instill in my students an appreciation for the field of subject by having them connect it to their own lives. I encourage my students to construct a framework of key vocabulary and concepts, help them to establish their own systematic understanding of learning subjects, which they can then use in related courses, their future professions, or their daily lives.
姓名： Zhenyu Wu 官网介绍链接：https://directory.nau.edu/faculty?name=Zhenyu%20Wu&person=zw334 联系方式： zhenyu.wu@nau.edu
专业领域：大数据分析、数据可视化、高性能计算系统 职位：Assistant Teaching Professor
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NAU Online 教育背景 Education Background博士 - 圣母大学，环境工程
Ph.D University of Notre Dame, Environmental Engineering 硕士 - 弗吉尼亚理工大学，环境工程
M.S. Virginia Tech, Environmental Engineering 本科 - 浙江大学，新能源科学与工程
B.S. Zhejiang University, New Energy Science and Engineering 教授寄语 Professor’s Word嗨，我叫吴振宇，我本科毕业于浙江大学新能源科学与工程专业，硕士毕业于弗吉尼亚理工环境工程专业，博士毕业于圣母大学环境工程专业。我研究方面的兴趣比较多元：从新能源的太阳能、风能、生物质能，到环境工程领域的：物理化学、电化学、微生物学、分子生物学、生物信息学、高通量计算和信息系统都有涉及。我很期待在这趟旅程中跟大家的相识。 Hi, my name is Zhenyu Wu. For educational background, I gained my bachelor’s degree at Zhejiang University in New Energy Science and Technology; my master’s degree at Virginia Tech in Environmental Engineering; and my Ph.D. degree at University of Notre Dame in Environmental Engineering. Research-wise, my interests vary from new energy side: solar, wind, and biology energy, to environmental engineering side: physical chemistry, electrical chemistry, microbiology, molecular biology, bioinformatics, high performance computing and informatics system. I’m happy to know each of you through this journey. 办公时间 Office Hours周一至周五美国东部时间 早上11点 – 下午1点
(M, T, W, TH, F, 11 am – 1 pm EST) 爱好 Hobbies听每一个人的故事，锻炼，陪伴家人
listen to stories, exercise, and be with my family 教育理念 Statement of Educational Philosophy:教育对我而言是将我人生的一部分传送到另一个人身上；教育对我而言本质上是对那些需要的人展示爱与关心；教育对我们每一个人而言都是为了更好的未来。个人而言，我视教育为远超于那些学生可以自己读课本学到的技术与方法论，而更是让教师和学生彼此深入沟通想法的一种被称作教育的工具。我有一部关于教育的好电影分享给你们：《放牛班的春天》，其中的金句“别停下，总有事情值得尝试。别放弃，总有希望在前方等待”。 Education is delivering a portion of myself to the other person; education in essence is portraying love and care to someone who needs it; education is for the future of each one of us. Personally, I see education more than the technologies and methodologies in the textbook which the students can read by themselves, but a tunnel for us to communicate our deep thoughts through this tool called education. I have a good film about education to share with you: “The Chorus”. And one quote from it: “You can’t stay, there are things worth trying. Never give up, always have hope in front of waiting.”
姓名： Dawei Xue 官网介绍链接：https://directory.nau.edu/faculty?name=Dawei%20Xue
联系方式： dawei.xue@nau.edu 专业领域：计算机科学, 数据科学 职位：Instructor
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NAU Online 教育背景 Education Background博士 - 跨学科研究，新泽西州立罗格斯大学
Ph.D. in Interdisciplinary Studies from Rutgers, The State University of New Jersey 硕士 - 包装工程，新泽西州立罗格斯大学
M.S. in Packaging Engineering from Rutgers, The State University of New Jersey 本科 - 电子工程，电子科技大学
B.E. in Electrical Engineering from University of Electronic Science and Technology of China 研究经验 Research Experience供应链网络（SCN）建模和优化
– 提出基于成本和网络可靠性的SCN返工优化方法。
– 引入以质量为导向的可靠性指标，用于评估网络的运行效果。
– 基于单调性分析（MA）设计优化算法，用于寻找最佳的返工分配方案。 Supply Chain Network (SCN) Modeling and Optimization
– Proposed an SCN rework optimization approach by considering cost and network reliability.
– Introduced a quality-centric reliability indicator to evaluate network performance.
– Developed an optimization algorithm based on Monotonicity Analysis (MA) for optimal rework allocation. • SCN中断传播、缓解和补救
– 开发新的框架，能够在不确定的中断情景下，寻找满足可靠性约束的最小成本解决方案。
– 通过网络动力学建模，将中断的传播、缓解和补救措施有机地联系起来。
– 结合网络的属性和多个SCM指标，对中断的传播过程进行建模。
– 基于真实数据，开发了一个支持未来SCN设计和扩展的决策工具。 SCN Disruption Propagation, Mitigation and Remediation
– Developed a new framework to search for feasible solutions for minimized cost incorporating reliability constraints against uncertain disruption scenarios.
– Linked disruption propagation, mitigation, and remediation measurements together via network dynamics modeling.
– Combined network properties and multiple SCM indexes in modeling disruption propagation.
– Developed a decision-making tool for future SCN design and expansion based on real data. 包装价值链（冷链和运输包装）
– 开发和实施物联网监测系统，对冷链运输容器进行评估。
– 分析仿真和实验数据，确定冷链包装的结构和材料选择标准。
– 开发了跌落试验和振动试验仿真原型，并将其应用于运输包装的使用寿命预测，以降低成本。 Packaging Value Chain (Cold Chain and Transportation Packaging)
– Evaluated cold chain shipping containers by developing and implementing an IoT monitoring system.
– Analyzed simulation and experimental data for determining cold chain packaging structures and materials selection criteria.
– Developed drop test and vibration test simulation prototypes and applied them for service life prediction of transportation packaging for cost-saving projects.
姓名： Dewei Meng 官网介绍链接：https://directory.nau.edu/faculty?name=Dewei%20Meng 联系方式： DEWEI.MENG@nau.edu 专业领域：计算机科学，土木工程 职位：Part-Time Faculty
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NAU Online 教育背景 Education Background美国伊利诺伊大学芝加哥分校 土木工程 博士
PhD in Civil Engineering from University of Illinois Chicago 硕士 - 美国佐治亚理工学院，计算机科学
Master of Science in Computer Science from Georgia Institute of Technology 同济大学 土木工程 本科 硕士
Bachelor/Master of Civil Engineering from Tongji University 爱好 Hobbies网球，登山
Tennis, Hiking 教育理念 Statement of Educational Philosophy:教育让我们成长为更好的人。通往成功的道路千百条，坚持不懈， 终会成功。 Education makes us grow into better people. There are thousands of ways to success, and perseverance will lead to success.
姓名：Weicheng(Anson) Xuan 官网介绍链接：https://directory.nau.edu/faculty?name=Xuan 联系方式： Weicheng.xuan@nau.edu 专业领域：统计学、数学、数据分析 职位：Part-Time Faculty
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NAU Online 教育背景 Education Background硕士 - 亚利桑那州立大学，数学
M.S. Arizona State University, Mathematics 教授寄语 Professor’s Word嗨，我叫Anson Xuan，很高兴在这里与你见面。除了在北亚利桑那大学从事个性化学习的工作外，我还是约翰霍普金斯大学的兼职教师，教授数学和统计学。 Hi, I’m Anson Xuan, your Instructor in this program. I am happy to meet with you here. In addition to working for Personalized Learning at NAU, I am also an adjunct faculty at Johns Hopkins University where I teach Mathematics and Statistics. 爱好 Hobbies陪伴家人，读书，旅行
In my free time I enjoy spending time with my family and friends, traveling, and reading. 教育理念 Statement of Educational Philosophy:不忘历史，终身学习
I love history and am a continuous learner.
姓名： Rongxia (Cindy) Du 官网介绍链接：https://directory.nau.edu/faculty?name=Cindy&person=rd826
联系方式： Rongxia.Du@nau.edu 专业领域：计算机科学, ERP 系统 授课课程：计算机信息技术 职位：Part-Time Faculty
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NAU Online 教育背景 Education Background硕士 - 休斯顿大学，计算机科学专业
Master of Science in Computer Science from University of Houston. 本科 - 浙江大学，生物医学工程及仪器
Bachelor of Science in Biomedical Engineering and Instrument from ZheJiang University 从业经验 Professional experience- 背景和工作经验 Background and work experience:
我目前在德州大学医学分院信息中心工作，专注于计算机科学领域。多年来，我在IT领域积累了丰富的工作经验，涵盖了从医院到软件开发公司的各个领域。 - 软件开发和数据库开发 Software development and database development:
在早期的职业生涯中，我主要从事软件开发和数据库开发的工作。通过编写代码和设计数据库，我积极参与了各种项目，包括医院信息系统和企业应用软件等。这些经历让我深入了解了软件开发的流程和技术要求。 - 数据库管理和ERP系统 Database management and ERP systems:
逐渐地，我将焦点转向了数据库管理和ERP系统的安装、开发、升级和维护。我专注于确保数据库的高效性、安全性和可靠性，并参与了多个ERP系统的部署和定制开发。这些经验使我能够理解企业的业务需求，并为其提供有效的解决方案。 办公时间 Office Hours周一至周五美国中部时间 6点 – 10点
(M, T, W, TH, F, 6 pm – 10pm CST) 爱好 Hobbies远足，旅游，义工
Hiking Travel Volunteering 教育理念 Statement of Educational Philosophy:我希望通过这个机会与大家分享我在IT领域的经验，让大家从中受益。同时，我也希望能够鼓励大家去探索IT这个飞速发展的广阔领域，帮助大家了解IT理论和实践之间的差距，从而更好地将理论应用于实际生活和工作中。 非常感谢各位的关注和支持，期待与大家共同努力，共同成长！谢谢！ I hope to share my experience in the IT field with you through this opportunity so that you can benefit from it. At the same time, I also hope to encourage you to explore the vast field of IT, which is developing rapidly, and to help you understand the gap between IT theory and practice, so that you can better apply the theory to your practical life and work. Thank you very much for your attention and support, and I look forward to working with you all to grow together! Thank you!
姓名： Huan Huang 官网介绍链接：https://directory.nau.edu/faculty?name=Huan%20Huang&person=hh727
联系方式： Huan.Huang@nau.edu 专业领域：计算机科学, 信息系统 职位：Part-Time Faculty
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NAU Online 教育背景 Education Background硕士 - 信息系统与运营管理，佛罗里达大学
M.S. in Information Systems and Operations Management in IT track from University of Florida 爱好 Hobbies读书，旅行
Reading, Travelling 教授寄语 Professor’s word:亲爱的同学们，欢迎你们！你们有着广阔的视野，丰富的经验，和多样的背景。我希望你们能够明确你们的学习目标，制定你们的学习计划，积极参与各种学习活动，主动寻找各种学习资源。我相信你们能够在这里收获知识和成长。 Welcome to join us! You are a group of people with broad vision, rich experience, and diverse background. I hope you can clarify your learning goals, make your learning plans, actively participate in various learning activities, and proactively look for various learning resources. I believe you can gain knowledge, and growth here.
姓名： Nathan Kang 官网介绍链接：https://directory.nau.edu/faculty?name=Nathan%20Kang&person=nk684 联系方式： Nathaniel.kang@nau.edu 专业领域：计算机科学, 数据科学 职位：Part-Time Faculty
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NAU Online 教育背景 Education Background博士 - 延世大学，统计以及数据科学
Ph.D. in Statistics and Data Science from of Yonsei University 硕士/本科 - 加州大学洛杉矶分校，计算机科学
Master/Bachelor of Science in Computer Science from University of California, Los Angeles. 从业经验 Professional experience与延世大学教授合作进行了多个研究领域，包括：
即时预测：提出了GAM-MIDAS方法，结合了广义可加模型（GAM）和自然语言处理（NLP）技术，利用了非结构化文本数据
情感分类：为韩国信息社会发展研究院（KISDI）实现了KoBERT模型，进行经济情感分类 Collaborated with Yonsei faculty to conduct several research fields, including but not limited to:
Nowcasting: Proposed GAM-MIDAS method integrated Generalized Additive Model (GAM) approach and Natural Language Processing (NLP) technique to utilize unstructured text data
Sentiment Classification: Implemented KoBERT model for economic sentiment classification for Korea Information Society Development Institute (KISDI) 与加州大学洛杉矶分校计算机科学与工程系的教授和其他研究人员合作，进行了多个与数据科学相关的项目，研究领域为深度学习:
负面评论分类：使用Python的PyTorch设计了几种压缩模型，如量化、剪枝和知识蒸馏（KD），并将这些压缩模型应用于预训练的BERT模型，比较了各种压缩方法的有效性。
UCLA录取预测器：根据申请者的社会人口学数据，创建了二元分类模型（逻辑回归；随机森林；XGBoost），并使用梯度下降优化器来预测一个学生是否会被本科录取委员会录取 Collaborated with UCLA faculty and other researchers in computer science and engineering department on several data-science related projects with an area interest in Deep Learning:
Toxic Comments Classification: Designed several compression models such as quantization, pruning, and Knowledge Distillation (KD) through PyTorch in Python, and applied those compression models on pretrained BERT model to compare the effectiveness among various compression methods.
UCLA Admission Predictor: Created binary classification models (Logistic Regression; Random Forest;XGBoost) with Gradient Descent optimizer to predict if a student will be accepted by Undergrad Admission Committee based on applicants’ sociodemographic data
姓名：Jiaming Li 官网介绍链接：https://directory.nau.edu/faculty?name=Jiaming%20Li&person=jl4665
联系方式：Jiaming.Li@nau.edu 专业领域： 机械工程，振动声学，优化设计，信息系统管理，数据分析和机器学习
Professional field: Mechanical Engineering, Acoustic & Vibration, Optimal Design, Management Information System, Data Analysis and Machine Learning 职位：Instructor
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NAU Online 教育背景 Education Background博士 - 罗格斯大学 机械与航空工程
Ph.D. - in Mechanical and Aerospace Engineering–Rutger University 硕士 - 罗格斯大学 机械与航空工程
M.P.A. - Master of Science in Mechanical and Aerospace Engineering–Rutger University 本科 - 合肥工业大学 机械设计制造及其自动化 工学学士
M.D. - Bachelor of Engineering in Mechanical Design Manufacturing and Automation–Hefei University of Technology 教授寄语 Professor’s Word大家好，我叫李佳明，是 NAU 的助理教授，也是你们的课程导师，我会在这边陪同你们一起度过这段学习旅途。首先介绍一下我自己，我是一名机械工程博士，毕业于罗格斯大学的机械与航空工程学院。我主要从事的研究领域包括振动声学，优化设计，信息系统管理，数据分析和机器学习。博士毕业后，我曾在地球物理科学公司做地表图像数据分析工作。在教学方面，我曾在工程学院和商学院都有过多门课程的任教经历，我的教学理念是尊重每一个学生的特点，因材施教。希望你们每个人都能在 NAU 度过一段有意义的学习时光，也希望在这个过程中我们能够互相学习共同进步。 Hi, my name is Jiaming Li, and I am an Assistant Teaching Professor at NAU. I am your course instructor, and I will be accompanying you on this learning journey. Let me first introduce myself. I hold a Ph.D. in Mechanical Engineering from Rutgers University. My research specializes in areas such as acoustics and vibration, optimal design, management information systems, data analysis, and machine learning. After earning my Ph.D., I worked as a seismic imaging analyst at a geophysical sciences company. In terms of teaching experience, I have taught multiple courses at both the School of Engineering and
the Business School. My teaching philosophy is to respect the unique characteristics of each student and to tailor my instruction accordingly. I hope you have a meaningful learning experience at NAU, and I look forward to us learning and progressing together. 学习是一个永不止境的过程，学习的过程是一个从领悟，到运用，再到创新的过程。我们既要保存对知识的敬畏，同时又要有对固有认知的挑战精神，很多伟大创新都来自一次看上去不可能的挑战，让我们一起学习，一起进步，一起探索，一起创新！ Learning is an endless journey, a process that moves from understanding to application, and then to innovation. We must maintain a reverence for knowledge while also embracing the spirit of challenging established notions. Many great innovations come from seemingly impossible challenges. Let’s learn together, progress together, explore together, and innovate together! 办公时间 Office Hours周一至周五（美国东部时间）
(EDT, Monday-Friday）(By appointment) 爱好 Hobbies运动，音乐，摄影，旅行，探索世界
Sports, music, photography, traveling, exploring the world 教育理念 Statement of Educational Philosophy多样性：每个学生都是独特的，他们有自己的优势、兴趣和学习风格。个性化教学涉及发现他们的独特优势和偏好，并相应地调整我的教学方法。
主动学习：激发对学习的热情至关重要，因为兴趣是最好的老师。创建一个充满活力和动态的学习环境，鼓励学生积极参与他们的学习。 Diversity: Every student is unique, with their own strengths, interests, and learning styles. Personalized instruction involves discovering their distinct strengths and preferences to tailor my teaching methods accordingly.
Active learning: Igniting a passion for learning is essential because interest is the best teacher. Creating a vibrant and dynamic learning environment encourages students to engage actively in their education.
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发表于 2024-10-19 15:59:14