{"id":4762,"date":"2025-11-13T01:26:18","date_gmt":"2025-11-13T01:26:18","guid":{"rendered":"http:\/\/cdn.lkl.mybluehost.me\/website_677f0389\/?page_id=4762"},"modified":"2026-03-03T02:44:36","modified_gmt":"2026-03-03T02:44:36","slug":"speakers","status":"publish","type":"page","link":"https:\/\/ieeesem-conference.org\/2026\/speakers\/","title":{"rendered":"Speakers"},"content":{"rendered":"\t\t
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Vasanth Rajendran<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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Engineering Leader, Amazon<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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\n\t\t\t\t\tVasanth Rajendran is an accomplished Engineering Lead and Researcher at Amazon, where he has been a driving force behind the technical evolution of Amazon Retail since 2019. Specializing in Artificial Intelligence, Machine Learning, and large-scale distributed systems, he currently oversees the technical architecture for some of the world\u2019s most-visited digital surfaces, including Amazon Search, Product Detail Pages, and Browse. His work is centered on building high-concurrency, low-latency systems that bridge the gap between complex backend infrastructure and seamless customer experiences.\n\nThroughout his tenure at Amazon, Vasanth has spearheaded several high-impact initiatives, such as architecting distributed ML pipelines for search ranking that significantly reduced search abandonment and increased incremental revenue. He also designed region-aware infrastructure for product pages to deliver personalized content across diverse geographies and languages, leading to measurable gains in conversion and operational efficiency. By replacing static browse surfaces with fully automated, signal-driven machine learning pipelines, he has played a pivotal role in shifting Amazon toward a more dynamic, trend-aware discovery model.\n\nBeyond his engineering leadership, Vasanth is a respected figure in the global AI research community. He frequently serves as a reviewer for prestigious conferences like NeurIPS, ICLR, and IEEE, and has shared his expertise as a judge for student hackathons at MIT and UC Berkeley. His recent research into safety-assured frameworks for LLM autonomy in e-commerce\u2014featured at the NeurIPS 2025 Workshop\u2014reflects his commitment to the ethical and robust deployment of next-generation AI. Vasanth holds a Master of Science in Information Systems from the University of Illinois at Chicago and a Bachelor\u2019s degree in Computer Science from Anna University.\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Head of Offline Perception and Intelligence<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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\n\t\t\t\t\tDr. Dalong Li, PhD, serves as the Head of AI Data, Perception, and Auto\u2011Labeling at Torc Robotics, where he leads global teams advancing data\u2011centric AI, automated curation, and large\u2011scale ground\u2011truth generation for autonomous driving. His expertise spans 2D and 3D perception, sensor fusion, HD\u2011map creation, and cloud\u2011native machine\u2011learning pipelines that support safety\u2011critical AV development. He has driven major innovations in self\u2011supervised learning, adversarial robustness, and simulation\u2011based deep learning, shaping next\u2011generation perception systems. Before joining Torc, he led machine\u2011learning teams across North America, APAC, and EMEA at Stellantis, delivering production\u2011grade AD\/ADAS capabilities.\n\nEarlier in his career at FCA, he spearheaded AI programs in active learning, lidar perception, and functional safety for automated\u2011driving systems. Dr. Li holds more than ten patents in autonomous\u2011driving technologies and continues to influence the field through his technical leadership. He is a frequent speaker at AV20, AutoSens, and other industry forums, sharing insights on perception, data\u2011centric AI, and scalable annotation pipelines. His career also includes impactful roles at Continental, Motorola, and Hewlett Packard Enterprise, where he contributed to foundational work in embedded intelligence and large\u2011scale data systems. Widely recognized for building high\u2011performance AI teams, he consistently delivers solutions that bridge cutting\u2011edge research with real\u2011world deployment.\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Dalong Li<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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Kaiqi Zhao<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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Assistant Professor CSE - Director, Efficient AI Lab, Oakland University<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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Kaiqi Zhao is a tenure-track assistant professor in the Computer Science and Engineering Department at Oakland University, Michigan, since August 2024. She is the director of Efficient AI Lab. She earned her Ph.D. degree in the School of Computing and Augmented Intelligence at Arizona State University. Central to her research is innovating in model compression techniques to automatically and efficiently generate small, high-performance, and hardware-efficient machine learning\/deep learning models, catalyzing the advancement of AI on edge devices. As the first author, she has published peer-reviewed papers at top-tier AI conferences, e.g., CVPR, AISTATS, ICASSP (Oral), and InterSpeech (Oral), and top-tier edge computing conferences, e.g., ACM\/IEEE SEC (Best Poster Award). As a co-author, she has also published papers at top-tier system conferences, e.g., IEEE ICDCS, and prestigious edge computing conferences, e.g., USENIX HotEdge and USENIX OpML. She has been actively contributing to the research community by serving as a U.S. National Science Foundation (NSF) Reviewer (2025), Program Committee (PC) member for AAAI (2026-2023) and EdgeCAV (2025), Technical Program Committee (TPC) member for IEEE\/ACM BDCAT, and the Conference Ph.D. Forum chair for ACM\/IEEE SEC (2021). She has also served as invited reviewers for top-tier AI conferences, including NeurIPS (2022\u20132025), ICML (2022\u20132025), ICLR (2024\u20132025), AAAI (2023\u20132025), AISTATS (2024\u20132025), ICASSP (2024\u20132025), Interspeech (2023\u20132025), and AAMAS (2026), as well as for leading journals such as the IEEE Internet of Things Journal (Impact Factor: 11.1), IEEE Transactions on Knowledge and Data Engineering (Impact Factor: 10.4), IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 10.2), IEEE Transactions on Mobile Computing (Impact Factor: 9.2), IEEE Transactions on Circuits and Systems for Video Technology (Impact Factor: 8.3), and IEEE Transactions on Intelligent Vehicles (Impact Factor: 8.2).<\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"ieeesem\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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IEEE Chair, SEM Section<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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\n\t\t\t\t\tDr. Kalwani, A seasoned scientific, technical and computing professional, Sharan has\nspent over 30+ years\u2019 experience in high performance computing,\nengineering applications, infrastructure, simulation, benchmarking,\nnetworking, operations, technical support and project management.\nHe is a senior member of IEEE, ACM, SEMCO, ASEI. He has published a\nbook on the topic: \"UNIX and TCP\/IP network security\"; and is now\nworking on his second text, about a new computer programming\nlanguage. He also serves as one of the writers\/editors of the IEEE\nSoutheastern Michigan Sections monthly newsletter - Wavelengths. He has\nalso served as Vice-Chair of IEEE Sustech 2023, IEEE Sustech 2022, IEEE\nSusTech 2021 Global Conferences and is the on the organizing committee\nfor Online Forum for Climate Change Technologies 2023, 2024 and 2025 .\nHe is the recipient of:\n* 2018 IEEE MGA Achievement award and\n* 2024 Engineering Society of Detroit (ESD) Anne O. Fletcher Award\nfor his various contributions towards technical activities. On X he can be\nfound @skalwani\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Sharan Kalwani<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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John Kepros, MD<\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t
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The AI-Augmented Physician: Operationalizing Generative AI for Measurable Quality Improvement<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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\n\t\t\t\t\tDr. John Paul Kepros, MD, MBA, CPE, is a physician\u2011engineer whose career bridges clinical medicine, systems engineering, and AI\u2011driven healthcare transformation.\nHe trained at the University of Iowa\u2019s Carver College of Medicine and has more than two decades of clinical experience, including trauma surgery and research leadership.\nHis work focuses on improving healthcare quality through high\u2011reliability systems thinking and advanced analytics.\nAs a Certified Physician Executive, he advises organizations on integrating AI into clinical operations and quality improvement.\nHe is known for uniting engineering precision with medical judgment to redesign care delivery.\nDr. Kepros helps hospital leaders and technology teams navigate digital transformation in high\u2011stakes environments.\nHis expertise spans clinical variability reduction, patient\u2011safety engineering, and organizational leadership.\nHe is a sought\u2011after speaker on AI strategy, healthcare quality, and the human\u2011technology interface.\nHis writing explores the future of medicine, physician leadership, and the cultural shifts required for innovation.\nBased in East Lansing, Michigan, he continues to shape the next era of intelligent, resilient healthcare systems.\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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CEO, Mintmesh Corporation<\/h2>\t\t\t<\/div>\n\t\t\t\t\t\t
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\n\t\t\t\t\tSunil Chathaveetil is an accomplished technology and business leader with deep roots in Michigan\u2019s automotive and mobility ecosystem. With more than two decades of experience, he has built a strong reputation for guiding organizations through digital transformation, fostering strategic partnerships, and championing innovation across the automotive value chain. His work reflects a rare blend of technical insight and business acumen, enabling teams and enterprises to navigate complex technological shifts with clarity and purpose.\nBeyond his leadership roles, Sunil is a recognized voice in the community, known for articulating why the automotive industry remains one of the most powerful launchpads for innovation. With a network of 5,000+ followers and 500+ professional connections, he actively contributes to Michigan\u2019s engineering and technology landscape through mentorship, thought leadership, and industry engagement. His career continues to amplify the region\u2019s legacy as a global hub for mobility and engineering excellence.\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Vasanth Rajendran View Full Bio Engineering Leader, Amazon Vasanth Rajendran is an accomplished Engineering Lead and Researcher at Amazon, where he has been a driving force behind the technical evolution of Amazon Retail since 2019. 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