JT

Jesmin Tithi

AI Research Scientist
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Personal Information


Name: Jesmin Jahan Tithi, Ph.D.
Current Position: AI Research Scientist, Parallel Computing Labs, Intel Corporation
Location: Santa Clara, California, USA
Education:
  • Ph.D. in Computer Science from State University of New York at Stony Brook (SUNYSB)

  • B.Sc. with Honors in Computer Science and Engineering from Bangladesh University of Engineering and Technology (BUET)


Professional Experience and Roles


Dr. Jesmin Jahan Tithi is a distinguished research scientist with deep expertise in high-performance computing (HPC) and hardware-software co-design. Within Intel Labs, her work primarily emphasizes the development of next-generation processors tailored to large-scale machine learning and graph applications. She has made significant contributions to several high-profile projects including DOE's OCR, ECP Pathforward, CORAL2 projects, and DARPA’s HIVE and SDH initiatives.

Her previous experience is extensive; during her Ph.D., she undertook internships at notable institutions such as Intel, Google, and the Pacific Northwest National Laboratory (PNNL). Additionally, she served as a Lecturer at BUET, both after her Bachelor's degree and during her doctoral studies.

Achievements and Contributions


Dr. Tithi's contributions to her field are numerous and impactful. She holds six issued patents and has authored over twenty-two peer-reviewed publications. Her research work has earned her various recognitions, including:
  • ACM-W Scholarship

  • Anita Borg Scholarships

  • Multiple NSF Grants and Graduate Fellowship

  • Division Recognition Award from Intel


In 2015, she was a finalist in the ACM-Student Research Competition (SRC) and a Best Paper finalist at the International Symposium on Performance Analysis of Systems and Software (ISPASS) in 2014.

Professional Involvement and Community Service


Dr. Tithi is actively involved in the academic and professional community. She is a member of the ACM Future of Computing Academy and serves on the ACM Code of Professional Ethics Board and ACM Selects. Over the years, she has reviewed numerous papers for ACM and IEEE conferences and journals.

She is also a passionate advocate for Women in HPC and STEM, regularly participating in workshops and mentoring activities. Her commitment extends to organizing events like the "Ethics in AI" workshop at the 7th Heidelberg Nobel Laureate Forum.

Research Interests


Dr. Tithi’s key research areas include:
  • High-Performance Computing (HPC)

  • Software-Hardware Co-design

  • Algorithms and Architecture

  • Artificial Intelligence (AI)

  • Compilers and Software Tools

  • Data Analytics and Modeling

  • Distributed Systems

  • Machine Learning and Programming


Additional Activities and Interests


Outside her professional commitments, Dr. Jesmin Tithi is engaged in researching Ethics in AI. She is also associated with the Goethe University Frankfurt. Her personal interests include volunteering at her local mosque and other charity organizations, watching movies, and traveling with her family.

Online Presence


Dr. Tithi maintains a substantial online presence with over 500+ connections on LinkedIn. She is also listed on various academic and professional platforms like Google Scholar, ResearchGate, and IEEE Xplore, reflecting her active participation and recognition in the research community.

LinkedIn Profile: [Jesmin Jahan Tithi, Ph.D - Intel Labs on LinkedIn](https://www.linkedin.com/in/jesmin-jahan-tithi)
Google Scholar: [Google Scholar Profile](https://scholar.google.com/citations?user=ySqvmSQAAAAJ&hl=en)
ResearchGate: [ResearchGate Profile](https://www.researchgate.net/profile/Jesmin-Jahan-Tithi)
Intel Profile: [Intel Researcher Profile](https://www.intel.com/content/www/us/en/research/researchers/jesmin-jahan-tithi.html)

This profiling report collates the extensive expertise and professional journey of Dr. Jesmin Jahan Tithi, illustrating her significant contributions to high-performance computing and her active role in the broader scientific and professional community.
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