Data science methods lie at the frontier of scientific inquiries in energy systems and biomedical research, and have become inevitable in overcoming current unmet needs in these fields. They play an essential role in extracting high resolution data, unraveling hidden information and drawing tangible interpretations based on predictive analysis.

The Signal Science Lab is leading efforts to develop fundamental data processing methods and advanced computational workflow to tackle problems in 1) sustainable energy systems to reduce blackouts, moderate electricity consumption and plan infrastructure upgrade, 2) disease diagnosis to detect biomarkers at early stages (e.g. Amyotrophic Lateral Sclerosis, ALS), 3) drug discovery and development to analyze composition in the molecular mixtures, and 4) molecular biophysics to determine the dynamics of biomolecules, such as proteins, for understanding disease mechanism.

The Signal Science Lab is a modern innovation lab with multidisciplinary research focus on the problems that need urgent solutions. The lab pursues a synergistic interface among the disciplines of Computer Science, Electrical Engineering, Economics, Physical Sciences and Life Sciences. The fundamental and applied research carried out in the lab is aimed at technology development and commercialization, following the “lab-to-market” approach to address unmet societal needs.

The lab works on the philosophy of “using science to serve community”. Our motto is to “Invent Future”. The Lab members pursue high risk projects and believe that if “one is not failing, one is not trying hard enough”. The success of the projects is measured on practical outcomes, such as the number of start-ups and licensing agreements originated from the research projects.

In the lab, the post-docs, graduate students and undergraduate students design research projects based on their own ideas. While common for post-docs and graduate students, undergraduate students also serve as first authors in publications as they independently work on their research projects. The lab environment is extremely collaborative where technical skills and experiences are constantly shared by the lab members.

---

News and Updates

Mansi Agarwal is selected for the CIS Dream Grant with funding from Cornell University! The CIS Dream Grant provides an opportunity for CIS students to pursue a dream project to which they may not have otherwise had access or financial means to pursue. With her path breaking independent ideas, Mansi will use the award to support her research project in the Signal Science Lab.

Henry Zheng is selected for the Engineering Learning Initiatives Undergraduate Research Award with funding from Cornell University! The award facilitates connections and provides opportunities for undergraduate students who are motivated to pursue undergraduate research during their time at Cornell. Henry will use the award to support his research project in the Signal Science Lab. Money and Henry seems to be good friends!

Madhur to give Invited Talk at ENC 2021 on Wavelet Denoising

November 1, 2020

Madhur Srivastava has been invited to give a talk at the 62nd Experimental Nuclear Magnetic Resonance Conference (ENC) to be held virtually from April 12-14, 2021. He will be presenting his work on wavelet denoising to improve Signal-to-Noise Ratio (SNR) in experimental magnetic resonance signals via data processing methods.

More information: https://www.enc-conference.org/ProgramAbstracts/InvitedSpeakers/tabid/191/Default.aspx

Madhur gives Invited Talk at Vaibhav Summit 2020 organized by Indian Government

October 11, 2020

Madhur Srivastava gives an invited talk in the (Virtual) Global Summit of Non-Resident Indians and Indian researchers called Vaibhav Summit organized in October 2020. The Summit is aimed at developing mechanisms for involving Indian Diaspora working in top universities, R&D organisations across the world, to further enhance the knowledge-base of Indian Research and Academic Institutions. He presented his research work to boost computational biology research in India.

Henry wins the SRC Undergraduate Research Program Award from Siemens

October 1, 2020

Henry Zheng is selected for the SRC Undergraduate Research Program (URP) Award with funding from Mentor, A Siemens Business! Apart from fame, he is also getting monetary reward! Undergraduate Research Program (URP) is an academic year-long program which encourages participation from student candidates that are U.S. citizens and diverse in gender and background. The program combines a structured undergraduate research experience with industry mentorship.

William wins the Cornell Presidential Research Scholarship

July 28, 2020

William Bekerman is selected as the Hunter R. Rawlings III Cornell Presidential Research Scholar! Apart from fame, he is also getting monetary reward!

Journal of Physical Chemistry highlights SVD work

June 4, 2020

The Virtual Issue of J. Phys. Chem. on new tools and methods has highlighted a paper by Madhur Srivastava and Jack Freed. The paper is among 25 papers selected by the editorial team that was published in J. Phys. Chem. over the past two years. Srivastava and Freed developed a “localized” approach to solve ill-posed mathematical problems and calculated the uncertainty within the solution for Electron Spin Resonance Spectroscopy. The method has led to many publications in high impact journals on structural determination of biomolecules.

https://pubs.acs.org/page/jpcafh/vi/new-tools-methods

https://pubs.acs.org/doi/full/10.1021/acs.jpca.0c04262?ref=vi_new-tools-methods