2025 IEEE International Conference on Acoustics, Speech, and Signal Processing

April 09, 2025 (Wednesday) | 01:00 PM – 03:00 PM (IST)

Join us at the IEEE Women in Signal Processing Luncheon during ICASSP for an enlightening panel discussion featuring accomplished women from industry within the signal processing community. This event is a unique opportunity to hear personal stories, experiences, and insights on overcoming challenges and achieving success in their careers. It is an excellent occasion for networking, connecting with peers, and drawing inspiration from the journeys of our panelists. Take advantage of this chance to be part of an engaging conversation and celebrate the achievements of women in signal processing.

Add your name to the Women in Signal Processing Directory and join the WISP mailing list! Visit the WISP website to learn more.

Bhuvana Ramabhadran (IEEE Fellow, 2017, ISCA Fellow 2017) currently leads a team of researchers at Google, focusing on semi-supervised learning for speech recognition and multilingual speech recognition. Previously, she was a Distinguished Research Staff Member and Manager in IBM Research AI, at the IBM T. J. Watson Research Center, Yorktown Heights, NY, USA, where she led a team of researchers in the Speech Technologies Group and coordinated activities across IBM’s world wide laboratories in the areas of speech recognition, synthesis, and spoken term detection. She has served as an elected member of the IEEE SPS Speech and Language Technical Committee (SLTC), for two terms since 2010 and as its elected Vice Chair and Chair (2014–2016) and currently serves as an Advisory Member. She has served as the Area Chair for ICASSP (2011–2018), on the editorial board of the IEEE Transactions on Audio, Speech, and Language Processing (2011–2015), and on the IEEE SPS conference board (2017-2018) during which she also served as the conference board’s liaison with the ICASSP organizing committees , and as Regional Director-At-Large (2018-2020), where she coordinated work across all US IEEE chapters . She currently serves as the Chair of the IEEE Flanagan Speech & Audio Award Committee and currently serves as a Member-at-Large of the IEEE SPS Board of Governors. She serves on the International Speech Communication Association (ISCA) board and has served as the area chair for Interspeech conferences since 2012. In addition to organizing several workshops at ICML, HLT-NAACL, NeurIPS and ICML, she has also served as an adjunct professor at Columbia University, where she co-taught a graduate course on speech recognition. She has served as the (Co/-)Principal Investigator on several projects funded by the National Science Foundation, EU and iARPA, spanning speech recognition, information retrieval from spoken archives, keyword spotting in many languages. She has published over 150 papers and been granted over 40 U.S. patents. Her research interests include speech recognition and synthesis algorithms, statistical modeling, signal processing, and machine learning. Some of her recent work has focused on the use of speech synthesis to improve core speech recognition performance and self-supervised learning.

Lorena Qendro is a Senior Research Scientist at Nokia Bell Labs in Cambridge, where she develops efficient and robust machine learning solutions for personal devices. Her work focuses on federated learning, uncertainty estimation, and resource-efficient AI, enabling intelligent on-device processing of physiological signals. She specializes in designing algorithms that extract meaningful insights from multi-modal wearable sensor data while ensuring robustness against noise, distributional shifts, and adversarial perturbations.

Lorena earned her Ph.D. in Computer Science from the University of Cambridge. Her research focused on uncertainty-aware mobile sensing, leveraging machine learning and signal processing techniques to improve the accuracy and reliability of health-related applications on personal devices. Her work addressed key challenges in modeling real-world physiological signals, optimizing energy-efficient processing, and enhancing reliability in dynamic environments.

Beyond her research at Nokia Bell Labs, Lorena has worked across a range of industries, from startups to large tech companies, applying machine learning to areas such as user behavior modeling, embedded AI, adversarial robustness, and large-scale data analytics. Her experience spans both research and engineering roles, bridging the gap between fundamental research and real-world applications. She holds a BEng and MEng in Computer Engineering from the University of Bologna.

Ranjani HG is a Principal Data Scientist at Ericsson’s Global AI Accelerator Unit. She holds a PhD from IISc Bangalore.  In her current role she is spearheading the Research and Application of GenAI technologies to solve key Business Problems in Ericsson’s Product Portfolio and improve R&D Efficiency at Ericsson. Her prior experiences in various start-ups have resulted in her unique strength of being able to understand the domain challenges, her academic training towards a good grasp and discernment of technology. With her 22 years of professional experience, she brings in the ability to transform nascent projects towards those which bring in business value to the organization.

She has been part of various international collaborations with other research leaders in both industry and academia. She has co-authored a book chapter, has 20+ publications in international workshops, conferences, journals and filed 8 patents. Her research interests include Machine Learning, Generative AI, signal processing, speech and RAN. She is actively engaged in academic activities as a reviewer of various conferences & journals, part of conference organizing committees and mentoring UG graduate students.

Sanyogita Shamsunder received her Ph.D. in Statistical Signal Processing with a minor in Math from the University of Virginia and her MBA from The Wharton School, University of Pennsylvania. She currently serves as the Chief Operating Officer at NextNav, leveraging over two decades of leadership experience in major technology companies.

Dr. Shamsunder previously held executive positions at Verizon and Google, where she led global teams and managed budgets exceeding high double digit million dollars. Her contributions were instrumental in launching the world’s first large-scale 5G network and 4G smartphones. At Google, she led the consumer and the enterprise cloud edge networking.

Her expertise spans wireless technologies, networking, semiconductors, and IoT, with a proven track record in innovation and full product development lifecycle management. Dr. Shamsunder has served on multiple boards, providing strategic guidance and fostering innovation. She also advises tech startups on product roadmaps and go-to market strategies. A passionate advocate for STEM education, Dr. Shamsunder actively volunteers for various educational and women’s support initiatives. Her work continues to drive transformative change in the technology sector, blending technical acumen with strategic leadership.

Dr. Monika Aggarwal was born in Dehradun, India. She received the B.Tech. degree in Electrical Engineering and the M.Tech. degree in Electronics and Communication Engineering from the Regional Engineering College, Kurukshetra, India, and the PhD. degree from the Indian Institute of Technology, New Delhi, India, in 1993, 1995, and 2000, respectively.

She was employed with Hughes Software Systems (HSS), Gurgaon, India from 1999 to 2002. During 2001 she was a visiting researcher in the Dept. of Systems and Control, Uppsala University, Uppsala, Sweden.

She joined C.A.R.E, I.I.T Delhi as Assistant Professor in Jan 2003.

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