Krish Ramakrishnan

Krish Ramakrishnan
Name	Krish Ramakrishnan
Birth place	Chennai, Tamil Nadu, India
Nationality	Indian
Fields	Computer Science; Artificial Intelligence; Data Science
Workplaces	Qualcomm, Intel Corporation, SRI International, Indian Institute of Science
Alma mater	IIT Madras, Carnegie Mellon University
Known for	Media processing, signal processing, machine learning
Awards	Institute of Electrical and Electronics Engineers fellow, industry awards

Krish Ramakrishnan is an Indian‑born computer scientist and entrepreneur noted for work in signal processing, multimedia systems, and applied machine learning. He has held technical and leadership roles at major technology firms and research organizations, and has contributed to both academic research and industrial product development. His career spans collaborations with multinational corporations, research labs, and academic institutions across India and the United States.

Early life and education

Born in Chennai, Tamil Nadu, Ramakrishnan grew up amid the cultural milieu of Madras, attending local schools before pursuing higher education at IIT Madras. At IIT Madras he completed undergraduate studies in electrical engineering, followed by postgraduate study at Carnegie Mellon University where he earned advanced degrees in computer science and signal processing. During his time at Carnegie Mellon University he worked with faculty connected to projects involving Bell Labs, AT&T Bell Laboratories, and collaborators associated with Microsoft Research and IBM Research. His academic formation connected him to research communities at IEEE, ACM, and conferences such as ICASSP and CVPR.

Career

Ramakrishnan's early professional positions included roles at industry research centers and telecommunications firms, moving between organizations like Qualcomm and Intel Corporation. At Qualcomm he worked on multimedia codec optimization and integrated projects with standards bodies such as 3GPP and MPEG. His tenure at Intel Corporation involved collaborations with teams responsible for processor multimedia extensions and engagement with ARM Holdings ecosystem partners. He also served in research and management roles at SRI International, coordinating projects with government laboratories and industrial sponsors including DARPA and NSF.

In addition to corporate roles, he worked with academic institutions including Indian Institute of Science and contributed to joint programs with Stanford University, MIT, and UC Berkeley. He has been involved in technology startups, working alongside venture firms and incubators related to Sequoia Capital, Accel Partners, and regional accelerators in Bangalore and Silicon Valley. His career includes patents filed with collaborators from Texas Instruments and Broadcom and product integrations seen in consumer electronics from manufacturers such as Samsung and Sony Corporation.

Research and contributions

Ramakrishnan's research spans digital signal processing, multimedia compression, and applied machine learning for audio–visual systems. He contributed to codec development and performance tuning in contexts tied to MPEG-4, H.264, and later video technologies connected to HEVC and adaptive streaming used in platforms like YouTube and Netflix. His work intersected with standards committees including ISO/IEC and ITU-T, and with industry consortia such as USB-IF and SD Association when addressing hardware interfacing.

In machine learning, he applied statistical methods and deep learning architectures influenced by research from Google DeepMind, OpenAI, and academic labs at Carnegie Mellon University and University of Toronto. He published studies and technical reports presented at conferences such as NeurIPS, ICML, and ICASSP, collaborating with researchers affiliated with Berkeley AI Research and MIT CSAIL. His contributions included system-level optimizations for embedded inference on platforms related to NVIDIA Jetson and Qualcomm Snapdragon, tying into work on edge computing with associations to ARM Cortex designs.

Ramakrishnan also worked on multimodal signal fusion, aligning with research trends at Facebook AI Research and Amazon Lab126 on voice and image processing for consumer devices like Amazon Echo and Google Home. He engaged in interdisciplinary projects with neuroscientists and cognitive researchers linked to Johns Hopkins University and University College London exploring perception models and human–computer interaction.

Awards and recognition

Over his career he earned fellowships and professional recognitions from bodies such as the Institute of Electrical and Electronics Engineers and awards from industry consortia. He has been acknowledged in corporate technical awards at Qualcomm and Intel Corporation, and received accolades at conferences including best paper nominations at ICASSP and demonstration awards at SIGGRAPH or ACM Multimedia. His patent portfolio has been cited by technology firms including Apple Inc. and Google LLC, and he has been invited to serve on panels for funding agencies like DARPA and NSF.

He has been listed among influential engineers in regional technology rankings circulated by outlets linked to Economic Times coverage of Bangalore startups and by analyst briefings from Gartner and Forrester Research.

Personal life and philanthropy

Ramakrishnan maintains ties to Chennai and Bangalore while residing part-time in California to support collaborative projects with Stanford University and UC Berkeley. Outside technical work he participates in philanthropy supporting STEM initiatives associated with Indian Institute of Science outreach, scholarship programs with Tata Trusts, and mentorship programs run by incubators in Bangalore and Silicon Valley. He has contributed time to nonprofit organizations focusing on technology access in education alongside groups such as IEEE Foundation and regional chapters of ACM.

He is known to collaborate with cultural and arts organizations in Chennai linked to Sangeet Natak Akademi events and supports initiatives that connect technology with traditional arts, working with local institutes and museums in Tamil Nadu.

Category:Indian computer scientists Category:Alumni of Carnegie Mellon University Category:Indian Institute of Science people Category:Living people