Pendyala, Vishnu

Vishnu S. Pendyala, PhD

Email

Preferred: vishnu (dot) pendyala (at) sjsu (dot) edu

Education

PhD, MS, BS in Computer Engineering, MBA in Finance

Bio

IEEE Computer Society Distinguished Contributor (One of the 22 in the Class of 2022)

ACM Distinguished Speaker (2019 - 2022)

Senator, SJSU Academic Senate (2023 - date)

Chair (2022 - date), Vice Chair (2019), Secretary (2021), IEEE Computer Society, SCV Chapter

Board of Directors, Silicon Valley Engineering Council (July 2018 - November 2019)

Executive Council Member, SIGBDA, Computer Society of India (May 2016 - Current)

Links

LinkedIn|Twitter|Facebook|YouTube|Berkeley Electronic Press|Google Scholar

Books

  1. Machine Learning for Societal Improvement, Modernization, and Progress
  2. Veracity of Big Data: Machine Learning and Other Approaches to Verifying Truthfulness
  3. Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities
  4. Intelligent Computing and Communication: Proceedings of 6th ICICC 2022 (Advances in Intelligent Systems and Computing, 1447)

OpEds

  1. Artificial intelligence can take the politics out of policymaking. Fulcrum, Apple News, and others.
  2. Toward an AI-Driven Democracy. Newsweek, Apple News+, Microsoft Network, Qoshe, and others
  3. The Rapid Pace of Innovation Calls for a Drastic Revamp of the National Science Foundation.Epoch Times, California Insider.
  4. Want a 4-day workweek? Invest in AI. Fast Company. Fast Company, Apple News, and others.
  5. It is time to leave ‘caste’ behind. Indica News
  6. Should the US Constitution Be Amended to Limit Borrowing From the Future? The Epoch Times, California Insider. Translated into Chinese as “Famous column”.

Select Speaking Engagements

  1. Navigating the Ethical Horizon: A Journey into Responsible AI (2024, 12 January). In-person talk at KREA University, Sri City, India. https://www.linkedin.com/posts/krea-university_kreauniversity-sias-kreatalks-activity-7148894994257395712-7ycv  

     

  2. Importance of Mathematics and Computing for All Round Development of our Nation (2024, 5 January). Panel discussion as part of the 10th International Conference On Mathematics And Computing ICMC 2024. In-person at Kalasalingam Academy of Research and Education, India.  https://youtu.be/R9UlQxQOa9o?t=16214  

     

  3. Responsible AI Is Everyone’s Responsibility! (2024, 4 January). Keynote address at 10th International Conference On Mathematics And Computing ICMC 2024. In-person at Kalasalingam Academy of Research and Education, India. http://icmc2024.kalasalingam.ac.in/index.php/vishnupendyala/  ; https://youtu.be/cegd5itOgUg?t=7359 

     

  4. Exploring the Frontiers of AI/ML: Practical Trends and Real-World Implications (2024, 03 January). In-person at Kalasalingam University (Ranked 29th in the Indian Government’s list of universities), Krishnankoil, Tamil Nadu, India.

     

  5. The Social Predicament of Artificial Intelligence  (2023, 22 December). Plenary speech at International Conference on Advances in Computational Intelligence and Informatics ICACII 2023. In-person at Anurag University,  Hyderabad, India https://anuragweb.club/icacii2023/plenary.html,https://www.youtube.com/watch?v=4ggfG9r6aGM  

     

  6. Harmony in Progress: When Artificial Intelligence Meets Social Sustainability (2023, 15 December). Keynote address at International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2023. In-person at G.Narayanamma Institute of Technology & Science (GNITS), Hyderabad, India. https://www.icdsmla.com/speakers  

  7. Panel Discussion on Navigating privacy and hallucination concerns around Generative AI with Chinmay Nerurkar, Microsoft, Lakshmanan Sethu, Google, Ruchi Agarwal, Netflix (2023, 21 November). IEEE Computer Society, Santa Clara Valley Chapter, https://podcasts.apple.com/us/podcast/navigating-privacy-hallucination-concerns-around-generative/id1708127425?i=1000635633197 
  8. Machine Learning Applications and Sustainable Development (2023, 6 November). University of Bolton, UK, November to Remember Webinar series. 
  9. Societal Implications of Artificial Intelligence and the path forward (2023, 3 November). Keynote address at International Conference on Big Data, Computational Intelligence and Applications (BDCIA2023, Huanggang, China, http://www.bdcia.org/Speakers/). Virtually presented.
  10. IEEE Day Panel Discussion on Ethical AI: Shaping the Future Responsibly (2023, 3 October). With Dr. Katharina Koerner, Tech Diplomacy Network, USA, Dr. Ruchi Dass, Managing Director, HealthCursor, UK, Chinmay Nerurkar, Principal Engineer, Microsoft, and moderated by Meenakshi Jindal, Netflix, Los Gatos, USA. https://ieeetv.ieee.org/video/ieee-day-panel-discussion-on-ethical-ai-shaping-the-future-responsibly 
  11. A Lens on Equity, Diversity, Inclusion, and Social Justice Aspects of Artificial Intelligence (2023, 26 September). College of Professional and Global Education Webinar series. https://www.sjsu.edu/cies/events/  ; https://www.youtube.com/watch?v=YKKOEc3nwAshttps://sjsu.hosted.panopto.com/Panopto/Pages/Viewer.aspx?tid=738bd51f-1b78-45f4-b71d-b0890155d6e0  Slides: https://works.bepress.com/vishnu-pendyala/47/  
  12. Slowly changing dimensions and fast changing facts – the story of the  traditional data warehouse (2023, 15 August) an IEEE Computer Society, Santa Clara Valley Chapter webinar. https://ieeetv.ieee.org/video/slowly-changing-dimensions-and-fast-changing-facts-the-story-of-the-traditional-data-warehouse  Slides: https://works.bepress.com/vishnu-pendyala/41/  
  13. [T6]     Machine Learning for Lie Detection (2023,  11 August) Webinar for Sharad Institute Of Technology College Of Engineering, Ichalkaranji, Maharashtra, India. Attended by over 100 students and faculty.
  14. [T7]     International Conference on Applied Data Science (ICADS ’23), organized by IEEE Computer Society, Santa Clara Valley Chapter, Panel Discussion, “Should AI development really take a pause?” with Prof. Patrikakis Charalampos, University of West Attica, Greece, Manish Mradul, Director, Palo Alto Networks, and others (2023, 25 July). https://ieeetv.ieee.org/video/icads-23-panel-discussion-should-ai-development-really-take-a-pause 
  15. [T8]     Indo Universal Collaboration for Engineering Education (IUCEE) Global Webinar (virtual), “Effectively Teaching AI/ML to Diverse Student Populations” (2023, 21 July), attended by 60+ professors mostly from India and Europe. https://iucee.org/week-of-july-17-2023/ Recording: https://www.youtube.com/watch?v=eDU-naj3yWA Slides: https://works.bepress.com/vishnu-pendyala/45/ 
  16. [T9]     IEEE Conference on Artificial Intelligence (IEEE CAI ’23) Panel Discussion, “Evolving landscape of Responsible AI,” with Mrinal Karvir and Ned Hayes (2023, 5 June). https://ieeecs-media.computer.org/media/conferences/cai/CAI2023_DraftProgram.pdf   https://cai.ieee.org/2023/panels/  
  17. [T10]   Peralta Equity Conference, “Anti-Oppressive Pedagogy Initiative: A Case Study,” presented along with Dr. Michele A. L. Villagran, (2023, 26 April). https://sites.google.com/view/peraltaequityconference/2023-conference/2023-program/2023-apr-26-sessions;  https://www.youtube.com/watch?v=7QCWtKbN-T4   Slides: https://works.bepress.com/vishnu-pendyala/42/ 
  18. [T11]   ICCECE 2023 Keynote, “Towards a fair and unbiased application of machine learning models for social good” https://iccece.com/index1.php?id=1 IEEE International Conference on Computer, Electrical & Communication Engineering (2023, 21 January). Other keynote speakers at the conference include Prof. Amit Lal, Cornell University, Prof. Sanghamitra Bandyopadhyay, IEEE Fellow, Prof. V. Ramgopal Rao, IEEE Fellow, Prof. Dan Schonfeld, University of Illinois, Prof. Muriel Médard, Massachusetts Institute of Technology (MIT).
  19. [T12]   Osmania University Global Alumni Meet 2023, Invited Talk, “Ethical Aspects of AI/ML” (2023, 04 January)
  20. [T13]       ICMACC 2022 Keynote, “Deep Learning Similarities: Techniques, Applications, and Future Directions”  https://ieee-icmacc.org/keynote.html IEEE International Conference on Recent Trends in Microelectronics, Automation, Computing and Communication Systems, (2022, 28 December). Other keynote speakers include Prof. Keshab K. Parhi, University of Minnesota, and Prof. Alex James, Griffith University. Slides: https://works.bepress.com/vishnu-pendyala/44/  
  21. [T14]  IACC 2022 Plenary Session, “Advances in Processing Time-series Data” https://computingconf.com/speaker.php Springer 12th International Advanced Computing Conference, H-Index: 25, Acceptance rate: 19.5%, Scopus indexed (2022, 16th December). Other speakers include Dr. Jaume Anguera, IEEE Fellow, Dr Marta R. Jabłońska, University of Lodz, Poland.
  22. [T15]   ISAIC 2022 Invited Talk, “Emerging Trends in Learning from Sequential Data” https://www.isaic-conf.com/#/aboutIsaicSpeakers2022  Scopus indexed (2022, 11th December). Other speakers include multiple IEEE Fellows and professors from Japan, UK, Italy, and other countries.
  23. [T16]   RSCA in Five, Faculty Short Talks on Community Engaged Research, Scholarship, and Creative activity, “Discovering similarities and dissimilarities using deep learning”  https://www.linkedin.com/posts/anna-dizack_sjsu-activity-6986835201066766336-J5bc  (2022, 14th October)
  24. [T17]   Centre for Applied Computer Science, The University of Bolton, “November to Remember” series of invited guest lectures: “Machine Learning for Societal Improvement, Modernization, and Progress” (2022, 14 November) https://www.youtube.com/watch?v=RdoguqaM8PA 
  25. [T18]   ICACCE-2022 (IEEE) Keynote: Opportunities and Challenges in Machine Learning (2022, 17 October) https://www.youtube.com/watch?v=XjwbdRUWKDk 
  26. [T19]   Exploring the Math in Support Vector Machines (2022, 04 October) IEEE Day Technical Talk hosted by IEEE Computer Society, Silicon Valley chapter https://ieeetv.ieee.org/video/exploring-the-math-in-support-vector-machines Slides: https://works.bepress.com/vishnu-pendyala/38/ 
  27. [T20]   IEEE GHTC 2022 Plenary: Minimizing the Ecological Footprint using Machine Learning (2022, 10 September) https://www.youtube.com/watch?v=9bN-bdO83lM [IEEE’s signature conference on Humanitarian Technologies] Slides: https://works.bepress.com/vishnu-pendyala/43/ 
  28. [T21]   Machine Learning for Misinformation Containment: A Candid Assessment of the State of the Art (2022, 13 August) invited talk delivered as part of the 23rd New Frontiers in Computing conference organized by the Santa Clara Valley chapters of IEEE Computer Society and North America Taiwanese Engineering & Science Association (NATEA) https://ieeetv.ieee.org/video/machine-learning-for-misinformation-containment-a-candid-assessment-of-the-state-of-the-art 
    Slides: https://works.bepress.com/vishnu-pendyala/46/ 
  29. [T22]   ICADS '22 Talk: Deep Learning for Melodic Frameworks (2022, 12 July) in the half-day seminar organized by the IEEE Computer Society, Silicon Valley chapter https://ieeetv.ieee.org/video/icads-22-talk-deep-learning-for-melodic-frameworks  Slides: https://works.bepress.com/vishnu-pendyala/40/ 
  30. [T23]   Machine Learning, the mortar of modernization (2022, 14 June) delivered at the Open-house of IEEE Computer Society, Silicon Valley chapter https://ieeetv.ieee.org/video/machine-learning-the-mortar-of-modernization Slides: https://works.bepress.com/vishnu-pendyala/37/ 
  31. [T24]   Meta-algorithms in Machine Learning (2022, 31 May) an IEEE Computer Society, Silicon Valley chapter webinar https://ieeetv.ieee.org/video/meta-algorithms-in-machine-learning  https://events.vtools.ieee.org/m/315184 Slides: https://works.bepress.com/vishnu-pendyala/39/ 
  32. [T25]   Two-hour Ask Me Anything (AMA) session on Artificial Emotional Intelligence with Prof. Björn W. Schuller. (2022, 22 March), IEEE Computer Society, Santa Clara Valley Chapter, https://ieeetv.ieee.org/video/ama-with-bjorn-schuller-artificial-intelligence 
  33. [T26]   One-hour Session (2022, 12 March). Machine Learning through Analogies, SJSU “Classes without Quizzes.” https://twitter.com/SJSUEngineering/status/1499867282134155266 
  34. [T27]   One-and-half-hour Invited Talk (2022, 7 March). Applied Machine Learning for Social Advancement, International Seminar on Artificial Intelligence and Applications-2022, organized by Interdisciplinary Centre for Artificial Intelligence and Department of Computer Engineering, Aligarh Muslim University, India.
  35. [T28]   One-and-half-hour Panel Discussion (2022, 25 February). Work-life balance in Grad School, SJSU Affinity Mentoring for Academic Success (AMAS) Program. https://www.youtube.com/watch?v=D7oaYK7ZUAs 
  36. [T29]   Keynote (2022, 11 January). Emerging Trends, Issues and Challenges in Machine Learning and Big Data, AICTE (Government of India) and ISTE sponsored induction / refresher online program for faculty, organized by University of Engineering and Management, Jaipur, India (60+ professors of various ranks from all over the country in attendance). https://www.linkedin.com/feed/update/urn:li:activity:6886544165967032321/ 
  37. [T30]   Plenary talk (2021, 19 December). In Springer’s 11th International Advanced Computing Conference (IACC ‘21), Malta. (In the world’s top 1% conferences; H5-Index 412 and overall H-Index 32; indexed in ISI, Scopus, DBLP, Compendex, SJR, Google Scholar etc.). https://computingconf.com/speakers.php 
  38. [T31]   Invited talk (2021, 11 December). In International Conference on Soft Computing (icSoftComp2021), India. Scopus indexed proceedings published by Springer CCIS. https://www.charusat.ac.in/icSoftComp2021/speakers.php 
  39. [T32]   Invited talk (2021, 5 December), In International Symposium on Automation, Information and Computing (ISAIC 2021), Organized by Jiaotong University, Beijing. Invited speakers include Prof. Radu Grosu of the Liquid Neural Networks fame https://www.isaic-conf.com/#/aboutIsaicInvitedSpeakers 
  40. [T33]   Three-hour Ask Me Anything (AMA) session on Advances in Machine Learning with Prof. Pedro Domingos (2021, 9 November), IEEE Computer Society, Santa Clara Valley Chapter, https://ieeetv.ieee.org/video/ama-with-pedro-domingos 
  41. [T34]   Guest Lecture (2021, July) to ACM Chapter at UTEC - Universidad de Ingeniería y Tecnología, Lima, Peru https://www.facebook.com/acm.utec.pe/posts/527418155350207 
  42. [T35]   Guest Lecture (2021, May) to ACM Chapter at University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India http://prodigy.upesacm.org/ and https://acmindia-studentchapters.in/post.php?post_id=597 
  43. [T36]   Keynote Address. Pendyala V.S., (2021, April). In International Conference on AI/ML in Management practices and Business operations: A future perspective, organized by Rukmini Devi Institute of Advanced Studies (RDIAS), Delhi, India https://www.facebook.com/rdiasofficial/photos/a.384355461634023/3966582990077901/ 
  44. [T37]   The Pandemic of Falsity on Online Social Networks and Plausible Cures from Machine Learning, International Symposium on Automation, Information and Computing (ISAIC 2020), 2nd – 4th December 2020, Organized by Jiaotong University, Beijing. https://www.isaic-conf.com/#/aboutIsaicPreviousKeynoteSpeakers Slides: https://works.bepress.com/vishnu-pendyala/24/ 
  45. [T38]   The Other Pandemic and the Role of Machine Learning in its Spread and Containment, International Conference on Soft Computing and its Engineering Applications (icSoftComp2020), December 11-12, 2020 https://www.charusat.ac.in/icSoftComp2020/speakers.php 
  46. [T39]   Machine Learning for Veracity of Big Data, ACM Webinar organized by VR Siddhartha Engineering College (2020, July 3rd) https://www.facebook.com/permalink.php?story_fbid=156823692600667&id=110206497262387 
  47. [T40]   Keynote Address. Pendyala V.S., (2020, January). In International Conference on Computer, Electrical & Communication Engineering (IEEE Conference ID 48148) http://www.iccece.com/iccece20/index1.php?id=1 
  48. [T41]       Machine Learning for Veracity of Big Data. Guest Lecture jointly sponsored by the Santa Clara Valley Chapters of IEEE Computational Intelligence Society, Computer Society, Solid State Circuits Society (SSCS), and Circuits and Systems Society at SJSU’s 2nd annual Computer, Software, and Electrical Engineering Technology Showcase https://events.vtools.ieee.org/m/199632 
  49. [T42]   Machine Learning and other Approaches to the truthfulness of information on Online Social Networks, IEEE ANTS 2018 December 16, 2018. Half-a-day Tutorial to ~60 attendees of the IEEE ComSoc's flagship conference. https://ants2018.ieee-comsoc-ants.org/about/tutorials/ 
  50. [T43]   Delivered seminars on Software Engineering and DevOps tools and techniques to delegates from S. Korea, every summer for five years (2014 – 2018) through SJSU.
  51. [T44]   Designed and taught a one-week course approved by the Ministry of Human Resource Development, Government of India in November 2017 on “Big Data Analytics for Humanitarian Causes” at Hyderabad, India to research scholars, most of them, professors (various ranks) of Computer Science including those from New Delhi in the north and Chennai in the south. http://www.gian.iitkgp.ac.in/ccourses/completedcourses 
  52. [T45]   Keynote Address. Pendyala, V. S., (2017, December). Addressing Uncertainty on the Web. In International Conference on Intelligent Communication and Computational Techniques. IEEE. https://jaipur.manipal.edu/muj/news-events/news-list/1st-International-Conference-on-Intelligent-Communication.html 
  53. [T46]   Invited Talk. Pendyala, V. S., (2017, December). In Pursuit of Truth on the Web: Soft Computing for Truth Finding. In International Conference on Soft Computing and its Engineering Applications. IEEE. https://www.charusat.ac.in/icsoftcomp2017/01_Program_schedule.pdf 
  54. [T47]   Keynote Address. Pendyala, V. S., (2016, December). Math Never Lies: Machine Learning for Fact Finding. In International Conference on Information Technology. IEEE. http://icit.github.io/program/technical.html 
  55. [T48]   Keynote Address: Pendyala, V. S., (2016, December). Quantifying Truth in Big Data: Mathematical Approaches. In International Conference on Electrical, Electronics, Communication, Computers and Optimization Techniques. IEEE. http://iceeccot.geethashishu.in/iceeccot2018/iceeccot2017/iceeccot2016.html 
  56. [T49]   Keynote Address. (2015, December). Big Data Analytics and Cloud Computing for Humanitarian Causes. BDACCOU ’15 organized by Computer Society of India (SIG Big Data) and Osmania University
  57. [T50]   Invited Talk: Pendyala, V. (2014, December). Machine Augmented Healthcare for All. In International Conference on Computing & Communication Technologies. Co-sponsored by IEEE Hyderabad Chapter and Computer Society of India, Hyderabad Chapter. [Video Recording: https://youtu.be/WVGPPsdH-ao 
  58. [T51]   Invited Talk: Pendyala, V. (2017, December). "Mining for Medical Expertise" to the Hyderabad Section of IEEE. https://events.vtools.ieee.org/m/155869 
  59. [T52]   Invited Talk: Pendyala, V. (2016, December). "Tools and Techniques for Trusting the Web" to the Student Branch of Computer Society of India at CVR College of Engineering, Hyderabad. Video Recording: https://www.youtube.com/watch?v=JcpQMBZWs7o 
  60. [T53]   Invited Talk: Pendyala, V. (2017, January). "Evolving a Truthful World Wide Web" to the Hyderabad Chapter of Computer Society of India. https://www.meetup.com/CSI-Tech-Talk-Meetup/events/236605086/ 
  61. [T54]   Invited Talk at San Jose State University through the MESA Engineering Program, on 4/12/16: "The Big Data phenomenon and its 4th V”. https://www.eventbrite.com/e/tech-talk-the-big-data-phenomenon-and-its-4th-v-tickets-23200305739#  https://www.facebook.com/sjsu.cmpe.se/posts/490728877783265  https://www.facebook.com/SJSUEngineering/posts/10153624082911523 
  62. [T55]   Technical Talk to IEEE Hyderabad Section on 1/8/16: "The Pandemic of Falsity on the World Wide Web and Plausible Cures from Machine Learning and Knowledge Representation Perspectives” http://www.ieeehyd.org  -> under Activities/Events.
  63. [T56]   Technical Talk to Electronics Corporation of India Limited (audience comprised of five nominated employees from each Business Unit) on 1/4/16: “Veracity on the World Wide Web”.
  64. [T57]   Guest Lecture at IIIT, Hyderabad on 1/9/16: "A Truthful World Wide Web for effective E-Governance”.
  65. [T58]   Brainstorming Session: Pendyala, V. (2015, October). Detecting Lies on the Web. Data Science Camp. ACM. SF Bay Area Chapter. http://www.sfbayacm.org/sites/default/files/acmcamp2015_sessionmatrix_0.pdf  
  66. [T59]   Guest Lecture: Pendyala, V. (2015, January). Opportunities and Challenges in e-Governance: mHealth Case Study. Indian Institute of Information Technology, IIIT, Hyderabad. [Slides: http://www.slideshare.net/bhumik93/iiit ]
  67. [T60]   Brainstorming Session: Pendyala, V. (2014, October). Data Science for Healthcare. Data Science Camp. ACM. SF Bay Area Chapter.http://www.campsite.org/list/621?tag=machine 
  68. [T61]   The Truth behind the Tweets, SJSU Alumni Association’s “Classes without Quizzes”, and Cupertino Community Hall, February 16, 2019. https://cupertinotoday.com/2019/02/08/cisco-systems-technical-leader/ 
  69. [T62]   Presented at DevOps World 2018, IBM, Rational, and Perforce user conferences.
  70. [T63]   Several presentations in international conferences highlighted in the listed in the publications, and multiple internal conferences within Cisco.