188asia 信号处理中的最新消息,文章和事件https://signalprocessingsocietes.org/ EN. 信号处理 IEEE. //www.gironvignes.com/sites/all/themes/evolve_sub/assets/images/sps-logo.png. 188asia https://signalprocessingsocietes.org/ IEEE. Fri,03 Sep 2021 15:27:12 -0400 Fri,03 Sep 2021 15:27:12 -0400 行业领导者在信号处理和机器学习中:Greg Mori //www.gironvignes.com/newsletter/2021/09/1Dustry-leaders-signal-processing-and-machine-learning-greg-mori.

greg mori 是RBC的博尔美丽AI高级研究主任,Simon Fraser大学计算科学学院教授。Greg Mori出生于温哥华,并在BC里士满长大。他收到了博士学位。2004年UC Berkeley的学位和HON。B.Sc.来自多伦多大学的1999年。他是2014 - 2015年谷歌的访问科学家。他于2015 - 2018年担任西蒙弗雷泽大学计算科学学院董事。他作为众多机器学习初创企业的科学顾问。Greg Mori在计算机视觉和机器学习中进行研究,并在数据结构和编程,人工智能,计算机视觉和机器学习中教授课程。他收到了加拿大图像处理和模式识别协会(CIPPRS)2008年的研究卓越和服务奖,2008年和2015年的NSERD Discovery Accelerator补充奖,2017年的ICCV Helmholtz奖。他是CVPR 2020的计划主席,并将 be a General Chair for CVPR 2023.

We approached Greg Mori with a few questions:

1. In your own words, please tell us about your background.

I am fortunate to have been supported by many great colleagues and mentors over my career. The main professional challenges I have faced are those that I think afflict many grad students / researchers. Others have characterized this in different ways, I like the framing of "3 rude questions to ask a grad student":

1. What do you work on? 2. When will you be finished? 3. What will you do next?

The first one seems innocuous but is very hard to answer, especially as a junior researcher. If I answer "I work on computer vision", this can be followed by "no, really, specifically, what do you do? What problems or methods or novel things do you contribute?" It is such a struggle to answer well. Beyond this, once you've answered it, the process probably needs to start over again, since if you've figured out what you're doing, it probably works, and you probably need to start thinking of something else soon. This constant challenge of questioning your role as a researcher is very difficult.

The other two questions have similar challenges to them, which I would defer to future work (smile).

2. What was the most important factor in your success?

My students. I have had the privilege to work with many wonderful people at all levels -- from undergrads to MSc to PhD to postdocs.

The technical side is probably readily apparent, my work is in collaboration with students. It is very difficult to produce impactful computer vision or machine learning research working alone. We create new ideas, and implement, analyze, and advocate for their adoption together.

The personal side may not be as obvious. Supporting students in their journey as researchers and as people motivates me. Research is about contributing to knowledge. Helping students make their own contributions, and seeing them grow as people is a rewarding experience.

Research is a long process that requires dedication. I enjoy working on challenging "North Star" research problems such as human activity recognition -- a problem that the community can work on over decades (see above on "what do you work on"). Working with students on these problems, the camaraderie around paper deadlines, sharing the euphoria of successful results, the struggles around algorithms that don't work, and seeing students grow as researchers and bringing their own ideas and style to approach these problems, these make the research process gratifying.

3. How does your work affect society?

My research is in computer vision, and is concerned with developing algorithms that automatically interpret images and videos, particularly those containing people. I have worked towards solving the problems of human pose estimation and human activity recognition.

There are myriad use cases for this type of technology. I have collaborated with transportation engineers to study the design of road systems, for example pedestrian crosswalks. Human activity recognition systems can be used to collect data to support decisions on which types of crosswalks will result in fewer dangerous interactions between vehicles and pedestrians.

As another example, I collaborated with a team studying falls by elderly residents of long-term care facilities. Better understanding the circumstances of falls can lead to treatments such as changing furniture, flooring, or other factors that can reduce their occurrence.

However, clearly not all surveillance applications are benign. The same technologies can be used to monitor individuals and the data derived automatically from these algorithms can be biased. I particularly appreciate the work the NeurIPS community is doing on bringing these issues to the fore via impact statements in papers.

4. If there is one take home message you would like the readers of this interview to take away, what would that be?

Research outcomes are exciting and involve overcoming many challenges; working with people on these challenges is rewarding in itself.

5. Failures are an inevitable part of everyone’s career journey, what is the most important lesson you have learned during your career when dealing with failures?

Honesty with others and yourself.

Many of the papers I have written were rejected at least once, and typically experienced failures in the form of ideas that didn't work before we found ones that did. On the other hand, all of my ideas that didn't work obviously experienced failures. How does one tell the difference, and know which ideas are worth pursuing further?

Being honest about what has happened lets us move forward in the right way. Is there a bug in the implementation? Talk about it openly. Is my idea from 3 months ago really that good? Be willing to acknowledge your own mistakes. Is this algorithm really better than the current standard? Be honest about others' strengths. As you noted, failure is inevitable so being comfortable and honest about it is important.

6. Although novelty and innovation are the most important factor for technological advancement, when a researcher, scientist or engineer has a new idea, there are a lot of push backs until they prove that the new idea actually works. What is your advice on how to handle them? Especially for the readers who are in the early stages of their career.

This push back is a healthy part of the scientific process. I feel we need to hold two conflicting positions simultaneously as researchers -- conviction that we are correct (so that we keep pursuing an idea), and skepticism about what we believe (so that we find flaws in our thinking). The same is true when reading others' work, trust so that we can build on it, and critical thinking to see what could be done better.

I feel it's important to embrace this push back, know that it's part of making our ideas stronger, and work to overcome those doubts via theory and evidence that an idea works.

To learn more about Greg Mori and for more information, visit his webpage.

哈米德帕兰蒂 通讯 9947 Fri,03 Sep 2021 15:27:12 -0400 188asia
声音事件检测:教程 //www.gironvignes.com/publications-resources/ieee-signal-processing-magazine/sound-event-detection-tutorial.


想象一下站在城市的街角。闭上眼睛,你就能听到并辨认出一连串的声音:汽车驶过,人们说话,他们走过时的脚步声,还有连绵不断的雨声。对于人类来说,识别所有这些声音并将感知到的场景解释为城市街道声景是很自然的。然而,这是多年“训练”的结果:在日常生活中遇到各种各样的声音,产生这些声音的来源,以及给它们起的名字,并学习它们之间的联系 Annamaria mesaros;Toni Heittola;Tuomas Virtanen;Mark D.疱疹 杂志与期刊文章 9946 星期四,02 9月2021 15:47:03 -0400 188asia 谐波时间序列的频率、幅值和形式因子的跟踪和估计 //www.gironvignes.com/publications-resources/ieee-signal-processing-magazine/tracking-and-estimation-frequency-amplitude 本讲义说明,估计和跟踪(时间依赖)频率,外形系列和谐波时间序列的幅度和幅度的公式。特别是正弦主导信号,其中谐波遵循大致主导的第一次谐波,例如光学仪描绘(PPG)和呼吸信号。在转换到另一个静止状态的情况下,对静止信号的算法和动态行为的收敛行为进行特别注意。后一种问题被认为是评估非标准信号的跟踪能力很重要。我们将讨论特殊情况的正弦显性信号,将收敛到近似或与单个正弦素相同的值。本公式本质上递归,并仅使用信号的瞬时值,以低成本和低复杂性的方式。特别是,无需使用Square Roots或三角或矩阵操作;因此,这些公式适用于低功率的动态测量和计算苛刻的机器学习算法。此外,呈现出常规的形状因子和齿轮措施之间的有趣连接。介绍了用于估计和跟踪(时间依赖)频率,外形序列的(时间依赖)频率,外形序列幅度的公式在这个讲座中; in particular, sine-dominant signals, where the harmonics follow roughly the dominant first harmonic, such as photoplethysmography (PPG) and breathing signals. Special attention is paid to the convergence behavior of the algorithm for stationary signals and the dynamic behavior in case of a transition to another stationary state. The latter issue is considered to be important for assessing the tracking abilities for nonstationary signals. We will discuss special cases of sine-dominant signals that will converge to an approximate or the same value as for a single sinusoid.

罗纳德米AARTS. 杂志与期刊文章 9945 星期四,02 9月2021年15:44:21 -0400 188asia
为大规模学习绘制数据集草图:只保留你需要的 https://signalprocessingsenciety.org/publications-resources/ieee-signal-processing-magazine/sketching-data-sets-large-cale-learning.

大数据可以是一种祝福:具有非常大的训练数据集,可以以前所未有的准确性执行复杂的学习任务。然而,这种改进的性能来自巨大的计算挑战。因此,人们可能知道:是否可以利用大数据集的信息内容,同时保持控制的计算资源?这也可以帮助解决大规模学习提出的一些隐私问题吗?这是压缩学习的野心,其中数据集在学习之前大规模压缩。这里,首先通过计算精心选择的非线性随机特征[例如随机傅里叶(RF)特征]并在整个数据集上平均它们来构造“草图”。然后从草图中学习参数,无需访问原始数据集。本文在压缩学习中调查当前最新的技术,包括主要概念和算法,它们与建立的信号处理方法的连接,现有的理论保证在信息保存和隐私保存以及重要的公开问题中。对于本文的扩展版本,其中包含其他引用以及对各种主题的更深入讨论,请参阅[1]。 Remi Gribonval;Antoine Chatalic;Nicolas Keriven;Vincent Schellekens;Laurent Jacques;菲利普施奈特 杂志与期刊文章 9944 星期四,02 9月2021 15:40:52 -0400 188asia 智能家居技术正在储蓄金钱和生活:达到新的方向,信号处理支持的智能技术正在迅速变化 - 以及日常生活 //www.gironvignes.com/publications-resources/ieeee-signal-processing-magazine/smart-home-technologies-are-saving-money-and. 智能家居技术,旨在让用户更快乐,更健康,更富有,正迅速成为日常生活的支柱。在大多数情况下,信号处理对设备的运行和性能至关重要。

These days, a variety of intelligent automated devices can be found in nearly every home. The trend is accelerating so rapidly that it now appears inevitable that smart technology will soon be integrated into virtually every facet of daily life.

With smart technologies already widely used in applications as diverse as home security, environmental control, and home entertainment, researchers are now heading in new directions, leading to applications as diverse as home appliance monitoring, improved power delivery, and advanced remote medical support.

Good Vibrations

For anyone who has ever neglected to turn off an electric kettle, water faucet, air conditioner, or other household appliance before leaving home—potentially leading to unfortunate consequences—Cornell University researchers are offering a potential safeguard. The team’s new VibroSense device is a smart home technology that can track 17 types of appliances using subtle vibrations found in walls, ceilings, and floors; it is also a deep learning network that models vibration data to create different signatures for each appliance.

Many home appliances generate vibrations identifiable by unique signatures that propagate through a home’s walls, ceilings, and other infrastructure elements, observes Cheng Zhang, a Cornell assistant professor of computing and information science as well as director of the university’s SciFi Lab. “These unique characteristics … can be captured by a laser vibrometer and recognized by AI (artificial intelligence) technology—in our case, a deep learning algorithm—to distinguish the sound source.”

约翰爱德华兹 杂志与期刊文章 9943 星期四,02年9月2021年15:38:15 -0400 188asia
“她永远改变了天文学。他赢得了诺贝尔奖。“ //www.gironvignes.com/publications-resources/ieeee-signal-processing-magazine/%2%80%9Che-changed-aStronomy-Forever-he-won-nobel.

自上次写了一列 IEEE信号处理杂志的一列。我将在这里尝试解决自年初以来出现的许多问题和变化中的一些问题。但在我这样做之前,我想邀请您通过本专栏的确切标题来观看一部短信,并将其完全称为:“她永远改变了天文学。他赢得了诺贝尔奖。“这个故事还是另一个提醒的提醒人们是如何创新的正弦值。纪录片涵盖了1967年由Jocelyn Bell Burnell的脉冲星发现。她的发现改变了我们对宇宙的看法。贝尔博士是一个博士学位。学生当时,在着名的天文学家Anthony Hewish下学习。她克服了众多障碍,就像许多班级和博士学位一样唯一的女人。 program. Her persistence and unconventional thinking led her to uncover pulsars when others saw only normal electromagnetic interference.

Despite the remarkable progress we have made since Dr. Bell was a student, lack of diversity remains one of our most pernicious and frustrating challenges in 2021. Diversity is an issue that we all profess to believe in. However, our actions often belie our declared values. Time and again this year, we were sent nomination slates for various positions, from representatives of the Society on cosponsored conferences to executive committee members that lacked technical, geographical, and gender diversity. I won’t belabor again the benefits of diversity. Nor will I detail the real systemic hurdles that more than half of mankind experiences within society, at work, home, or our own technical Society. We are all very familiar with these facts and may even be convinced that we understand them. Perhaps we do. But it appears to me that, in many cases, this understanding is abstract rather than visceral. Hence, it doesn’t reflect in our actions.

艾哈迈德Tewfik. 杂志与期刊文章 9942 星期四,02 9月2021年15:01:48 -0400 188asia
72位信号处理学会会员晋升为资深会员! //www.gironvignes.com/newsletter/2021/09/72-signal-processing-society-members-elevated-senior-member.

IEE188asiaE信号处理协会(SPS)荣获宣布其72名成员的提升到IEEE高级会员的成绩。这些成员展示了卓越的专业表现,通过长期经验表现出专业成熟度,并将自己作为领导者在各自的IEEE指定的兴趣领域建立。高级会员是唯一有资格被提名的IEEE研究员的会员级别。 IEEE信号处理社会的高级成员是:
<188asia/ p>克里希纳查塔·答: Shan An Dr. Amod Jai Ganesh Anandkumar
Dr. Reshna Ayoob
Dr. Jacob Barhen
Dr. Julien Bonnel
Dr. S.S.V.Ramesh Botcha
Dr. Ronald Chang
Dr. Xing Chen
Dr. Venkata Chevula
Dr. Lark Kwon Choi
Dr. Fred Chumaceiro
Dr. Brown Cribbs
Dr. Jun Du
Dr. Tanima Dutta
Dr. Laurent Duval
Dr. Tai Fei
Dr. T Fineman
Dr. Shahzad Gishkori
Dr. Felipe Grijalva
Dr. Jon Yngve Hardeberg
Dr. Mohammad Farukh Hashmi
Dr. William Headley Dr. Geetika Jain
Dr. Yu-Gang Jiang
Dr. Ghassan Karame
Dr. Guillermo Kemper
Dr. Bruce Koenig
Dr. Ranjeet Kumar
Dr. Fan Lam
Dr. Rabul Laskar
Dr. Roberto Lopez-Valcarce
Dr. Jiayi Ma
Dr. Jonathan McHugh
Dr. Prema Medapati
Dr. Vinodh Minchula
Dr. Prerana Mukherjee
Dr. Esa Ollila
Dr. Ruimin Pan
Dr. Shailaja Patil
Dr. Michelle Patrick Krueger
Dr. Stuart Perry
Dr. Deepa Phanish
Dr. Justin Picard
Dr. Barry Powell
Dr. Chuan Hsian Pu
Dr. Peng Qiu Dr. Shahidur Rahman
Dr. Robert Rouquette
Dr. Mohammed Mansoor Roomi S
Dr. George Saon
Dr. Thomas Schaaf
Dr. Muhammed Shanir P.P.
Dr. Ila Sharma
Dr. Yuan Shen
Dr. Vrijendra Singh
Dr. Thilo Stadelmann
Dr. Rajesh Sur
Dr. Adriane Swalm Durey
Dr. Ananthakrishna Thalengala
Dr. Ramashri Tirumala
Dr. Johannes van der Merwe
Dr. Sakthivel Vellaisamy
Dr. Shiqi Wang
Dr. Zhangyang Wang
Dr. Jonghye Woo
Dr. Feiyun Wu
Dr. Xia Wu
Dr. Jing-Hao Xue
Dr. Guang Yang
Dr. Jian Zhao
Dr. Quanyan Zhu 通讯 9940 周三,01年9月2021日02:51:51 -0400 188asia 信号处理中的工作机会 //www.gironvignes.com/newsletter/2021/09/job-opportunities-signal-processing.

IEEE SPS为雇主建立了一种简化的机制,通过简单地填写与特定TC字段相关的简单工作机会提交Web表单来添加工作通知。要提交特定技术委员会的工作公告,可以通过访问以下页面并选择特定的TC来找到提交表格。访问SPS作业提交表格。可以在“作业机会”页面上找到所有当前作业的列表。 通讯 9325. 周三,01年9月2021日02:41:31 -0400 188asia 通过成为TC联盟的技术委员会参与技术委员会 //www.gironvignes.com/newsletter/2021/09/gec-involded-technical-committees-becoming-tc-affiliate.



信号处理社会及其技术委员会修订了其章程及其章程几年前的政策和程序。由于这些变化,社会的技术委员会现在有机会通过加入技术委员会附属公司来扩大其成员基础。技术委员会附属公司是非选的,非投票的技术委员会。技术委员会可以拥有的附属公司数量没有限制。会员会员资格开放为: IEEE SPS会员(任何年级)和IEEE学生成员对给定技术委员会的范围感兴趣。技术委员会范围内的跨学科领域的专业组织非IEEE成员。

技术委员会关联公司将收到会员和副主席提名,以及技术委员会可能拥有的任何Edewsterter。 Technical Committee Affiliates also have the opportunity to act as reviewers for one of the Society’s conferences or be appointed to one of the Technical Committee’s subcommittees.

Becoming a Technical Committee Affiliate is easy, just visit this page and request Affiliate Membership. Sign up today and pass on this news to interested colleagues!

通讯 9311 周三,01 9月2021 02:07:43 -0400 188asia
选举当选人、区域无任主任和无任成员 //www.gironvignes.com/newsletter/2021/09/election-president-elect-regional-directors-large-and-members-large

阿里H. Sayed的

我很高兴地宣布,IEEE信号处理学会(SPS)的年度选举将开始在 8月16日,然后你的票是比以往更加重要!今年,所有符合条件的SPS成员将通过31票投给下一任总统当选人(项2022年1月1日至31 2023年12月),除区域主任在超大的区域7和9和10(期限2022年1月1日2023年12月),和成员在超大(术语2022年1月1日通过行长的IEEE信号处理学会委员会2024 12月31日)(BOG)。

选票将邮寄给SPS成员。188asia选票包括所有选举,这是由SPS提名和任命委员会审核候选人多样的石板,以及用于写入考生的空间。This year’s election offers SPS members the opportunity to cast their votes via the web at https://eballot4.votenet.com/IEEE for up to one President-Elect, one Regional Director-at-Large for your corresponding Region: Regions 7 & 9 (Canada and Latin America) and Region 10 (Asia and Pacific), and three Member-at-Large candidates. Ballots must be received at the IEEE no later than 1 October 2021 to be counted. Members must meet the eligibility requirements at the time the ballot data is generated to be eligible to vote. To be eligible to vote in this year’s Society election, you had to have been an active SPS Member, Affiliate, or Graduate Student Member as of 30 June 2021. This is the date when the list of eligible Society voting members was compiled.

The 2021 candidates for President-Elect (presented in alphabetical order), and their candidate statements, appear below:

Charles A. Bouman

The disruptions of the past year have brought with them unprecedented challenges and opportunities. As IEEE Signal Processing Society President Elect and President, I would use the society’s technical and financial strength to capitalize on opportunities and meet challenges by taking an agile and entrepreneurial approach.

In my previous roles in the SP Society, I demonstrated my ability to create highly successful and innovative initiatives in, for example, the creation of the IEEE Transactions on Computational Imaging, and the Special Interest Groups (SIG) structure for the on-boarding of new technical topics. I believe in bringing people together to take on challenges, and I see huge opportunities in the society in areas such as AI, machine learning for signals and science, open-source software, community building, and education. My goal would be to continue to establish the society as both a friendly “go-to” forum for the dissemination of impactful results, and the place industry first considers when they want to solve a problem or meet leading experts. We need to continue to expand the depth, breath, and accessibility of technical forums and to employ a wider range of educational media so that authors can more widely disseminate their work and signal processing professionals can more easily meet their needs.

My focus would be to serve the global signal processing community with an emphasis on the following thrusts:

*Transitioning to Open Access - OA publications allow for wider distribution and easier access of technical content. The SP Society must continue to move rapidly toward OA publication models that are both affordable and sustainable. To do this, we will need to develop more OA publication venues while simultaneously developing new business models that leverage the community and third-party investment.

*Next Generation Conferences - Ironically, the past year’s crisis has created a unique opportunity for the society to reimagine the concept of conferences. Hybrid conference formats that blend on-site activities with virtual ones, offer the potential for more affordable and more geographically and technically diverse communities to discuss important new topics in greater technical depth. Approaches to enhancing conferences include: creating targeted satellite meetings; exploiting synergy between conferences and journals; and expanding educational, tutorial and opensource software development activities.

*Increasing Society Diversity - For a successful future, our society must proactively build diversity by reaching out to under-represented communities and partnering with representative organizations to create a pipeline of future talent. We need to demonstrate and communicate that signal processing can be a fun and rewarding career path for young people around the world with all backgrounds and experiences!

*Technology Policy – The SP Society must increase its external influence by helping to set priorities for technology investment both within and outside the society. By identifying important technological trends, the society can be more agile and better engage with a wide range of government and non-government organizations that impact the signal processing community.

Based on this, I ask for your vote for President Elect of the IEEE Signal Processing Society!

For more information about Charles A. Bouman, please visit: https://cabouman.github.io/SignalProcessingPresidentElect/

Nicholas Sidiropoulos

SPS has been my professional home for 32 years. I am a signal processing aficionado: passionate about the unique blend of theory, methods, data, algorithms, and applications that make up “signal processing magic’’. We have breadth and the ability to translate and innovate between application domains, which is what makes signal processing such an exciting discipline. I am also passionate about science, inclusion, and fairness. During my term as chair of the SPCOM TC, for which I received the Society-level Meritorious Service Award, I helped institute a “scan-review” process that gives every paper published in TSP a chance to be nominated for paper award – this is still in use 16 years later. As SPS Vice-President, I led motions to ensure balanced technical area representation in the SPS Fellow Evaluation Committee, and to reduce SPS membership fees for members in developing countries. In 2016, I chaired a committee that established the first engineering repository (eess – Electrical Engineering and Systems Science) under arXiv, which is now thriving.

There has been tremendous excitement with machine learning (ML) and artificial intelligence (AI) in recent years, generating waves and (under-)currents that we must reckon with. SPS researchers are highly valued ML/AI contributors, and the AI industry is hiring some of our best graduates. We should work to attract many more AI employers to our conferences and actively market our students – they are a great source of versatile talent. This will spark more excitement. We should also build upon and reaffirm our reputation for offering quality reviews and insightful editorial decisions in a timely manner.

Open access has been something that we, as a society (and IEEE as a whole) have been struggling with for years now. While we have taken steps to mitigate its short-term impact, we have failed to embrace it. We should turn our flagship transactions and conferences to full open access, with a reasonable open access fee (under $1000). The open access fee should be reduced for members in developing economies, mirroring corresponding automatic reductions in the basic IEEE and SPS membership fees. One way to make up for the loss in revenue is to include ads with those open access articles.

Promoting diversity and fostering inclusive excellence and respect for individual differences should continue to be a key priority. We have made progress over the years, but much remains to be done. There are parts of the world that are a significant source of underrepresented SPS talent, and we should focus more on those communities to recruit, mentor, and elevate future SPS leaders.

COVID-19 has had a tremendous impact on our operations, and its effects are likely to linger on for years. We should leverage what we learned to enhance our reach to industry, students and SPS professionals with rich offerings of a) world-class live research webinars, and b) curated technology primers. We should also expand our outreach and member services to tap the vast membership potential of Asia – particularly in China, India, Malaysia, and Indonesia.

For more information about Nicholas D. Sidiropoulos, please visit: http://www.ece.virginia.edu/~nds5j/NS4SPSPE.pdf

Min Wu

Why am I running for SPS President-Elect? The IEEE Signal Processing Society (SPS) is my “professional home” for 25+ years. Building on its successful early years of activities in the U.S., it has evolved to embrace a diverse membership around the world. I have served in many roles with volunteers from all regions and technical areas to benefit our members and community. These experiences have given me a strong sense of responsibility to contribute at the next level. I sincerely ask for your support of an opportunity to bring my experience and commitment to lead our very first society of the IEEE.

As President, I’ll continue to develop mechanisms and activities to make SPS a diverse and inclusive community and a supportive professional home by embracing members of different genders, regions, cultures, backgrounds, technical interests, and sectors. Toward making SPS a valuable professional home for our members, I will work with boards/committees to develop compelling values for our members and address the high-demand needs for members in different regions, sectors (including research & teaching univ., established companies & technology start-ups, etc.), and career stages (including students, junior professionals, mid-career, and senior ones). An example is to develop a strong portfolio of mentoring activities and career networking.

I will tackle the post-COVID challenges and finances creatively with an open mind, leverage my training and experience to address financial sustainability and growth, and help SPS reimagine its activity portfolio to serve our members in new/enhanced ways. I will promote a sound balance among multiple constraints, and strive for win-wins and sustainable successes within SPS and with partner organizations. Look forward to working with our members to promote career development, community building with diversity and inclusion, and advance together!

For more information about Min Wu, please visit: https://www.ece.umd.edu/~minwu/SPS21/

For the first time ever, the 2021 SPS President-Elect Candidates showcased their candidacies during the 2021 IEEE SPS President-Elect Candidate Town Halls held on 23 and 24 August. The Town Halls included each candidate’s vision for their presidency as well as a live Q&A session featuring questions submitted by SPS members.

If you were unable to attend, you can watch the Town Halls at the links below:

Monday, 23 August 11:00am-12:00pm Eastern - https://www.youtube.com/watch?v=gSzDLNyp8mY Tuesday, 24 August 11:30pm-12:30am Eastern - https://www.youtube.com/watch?v=sfoXyfBMGuU

The 2021 candidates for Regional Director-at-Large (presented in alphabetical order) appear below. Candidate biographies will be included in the ballot.

Regions 7 & 9:

André Lima Ferrer de Almeida

Fabrice Labeau

Region 10:

Tsung-Hui Chang

Chirag N. Paunwala

The 2021 candidates for Member-at-Large (presented in alphabetical order) appear below. Candidate biographies will be included in the ballot.

Mohammad Faizal Ahmad Fauzi

Alejandro Federico Frangi

Mazin Gilbert

Hamid Krim

Xiaoli Ma

Jean-Christophe Olivo Marin

Marius Pesavento

Anthony Vetro

Hong (Vicky) Zhao

The BoG is the governing body that oversees the activities of the SPS. The SPS BoG has the responsibility of establishing and implementing policy and receiving reports from its standing boards and committees and comprises 23 Society members: the President and President-Elect who are elected by the voting members of the Society, five Vice-President officers of the Society who are elected by the BoG, nine Members-at-Large elected by the voting members of the Society, four Regional Directors-at-Large elected locally by Society voting members of the corresponding region, as well as the Awards Board Chair and Young Professionals Committee Chair. The seven officers are the President, President-Elect, the Vice President-Conferences, Vice President-Education, Vice President-Membership, Vice President-Publications, and Vice President-Technical Directions. The Executive Director of the Society shall serve ex-officio, without vote.

The President-Elect is an IEEE Signal Processing Society member elected by the Society’s membership via the annual election, to serve as an officer and as a voting member on the Society’s Board of Governors, Executive Committee, Conferences Board, Education Board, Membership Board, and Publications Board. The President-Elect position automatically succeeds to President.
Regional Directors-at-Large are SPS members who are elected locally by Society voting members of the corresponding Region via the annual election to serve on the Society’s BoG as nonvoting members and voting members of the Society’s Membership Board.

Members-at-Large represent the member viewpoint in the Board decision making. They typically review, discuss, and act upon a wide range of items affecting the actions, activities, and health of the Society.

More information on the IEEE SPS can be found on Signal Processing Society website.

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