Ashif Sikandar Iquebal

My research aims at addressing the key challenges in the emerging paradigms of smart manufacturing, especially materials on demand manufacturing. Under this paradigm, "intelligent machines" operate autonomously to not only discover the optimal processing conditions but also to characterize the morphology and microstructure (such as defects and phase composition)—critical to ensuring the quality and integrity of custom components. Towards this, some of the critical challenges include (a) integration of smart sensors into legacy machines, (b) leveraging machine-tool signatures to discover the process dynamics, and (c) methodological advancements in data science to handle the uncertainty and nonstationarity in the streaming data.  To address these challenges, my research focuses on innovations in advanced manufacturing technologies, embedded sensors, and Industrial Internet of Things (IIoT), together with methodological foundations in data science and AI such as streaming data analytics, unsupervised learning, and active learning. 

My work on change point detection for streaming data and unsupervised image segmentation have been winners/finalists for the best student paper/poster awards at the INFORMS (Institute for Operations Research and the Management Sciences), IISE (Institute of Industrial and Systems Engineers) and ASA (American Statistical Association) conferences.

Latest news!

03/2023 - Dr. Yash Parikh,  a Process Engineering Consultant at EOS North America, will discuss Quality Control and Management in Additive Manufacturing, and deliver a talk on "Quality Control & Management Aspects in LPBF" in IEE Quality control course -- see the flyer here.  

04/2021 - I will be working with ASU Mayo Clinic over the summer of 2021 to develop algorithms for breast cancer diagnosis and segmentation. Grateful for the kind support from ASU and Mayo Clinic. 

03/2021 - My thesis dissertation was selected for the IISE Pritsker Dissertation Award 2021, 3rd place.   

10/2020 - Our paper on "Consistent estimation of the max-flow problem: Towards unsupervised image segmentation" has been published in IEEE Transactions on Pattern Analysis and Machine Intelligence [Joint work with Dr. Satish Bukkapatnam]. 

08/2020 - Our paper on "Change detection in complex dynamical systems using intrinsic phase and amplitude synchronization" has been accepted for publication in IEEE Transactions on Signal Processing  [Joint work with Dr. Satish Bukkapatnam and Dr. Arun Srinivasa].

08/2020 - Our paper on "Smart manufacturing multiplex" has been accepted for publication in Manufacturing Letters [Joint work with Bhaskar Botcha and Dr. Satish Bukkapatnam].

03/2020 - I am very pleased to accept a faculty position in the School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University. I will begin my appointment in Fall 2020. 

12/2019 - Our paper on "Identification of microstructures in 3D printed Ti-6Al-4V using Acoustic Emission Cepstrum" has been accepted for publication in Smart and Sustainable Manufacturing Systems [Joint work with Ganatma Nakkina, Dr. Rama Krishna Gorthi, and Dr. Satish Bukkapatnam].

11/2019 - Our paper on "A Gaussian Process Model-Guided Surface Polishing Process in Additive Manufacturing" has been published in the Journal of Manufacturing Science and Engineering [Joint work with Shilan Jin, Dr. Satish Bukkapatnam, Dr. Andew Gaynor, and Dr. Yu Ding].

11/2019 - Our paper on "Towards rapid, in situ characterization for materials-on-demand manufacturing" has been published in Manufacturing Letters [Joint work with Bhaskar Botcha and Dr. Satish Bukkapatnam]. 

11/2019 - Our paper on "Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization" has been published in Tribology International [Joint work with Shirish Pandagar and Dr. Satish Bukkapatnam]. 

09/2019 - INFORMS Student Chapter at Texas A&M received the highest recognition of Summa cum laude.

07/2019 - I am co-organizing the "Advanced Manufacturing" cluster along with Professor Satish Bukkapatnam at the INFORMS, 2019. I am also organizing a session on "Manufacturing for Materials" on Tuesday, 22/2019 from 10:05 - 1:35 PM in 86-S- Ravenna C.

06/2019 - Our paper on "Surface plastic flow in polishing" has been published in Scientific Reports [Joint work with Dr. Dinakar Sagapuram and Dr. Satish Bukkapatnam]. 

05/2019 - I received my Master's degree from the Department of Statistics at Texas A&M University, under the guidance of Professor Daren Cline. 

05/2019 - INFORMS Student Chapter at Texas A&M University hosted social with professors. Check out the photos from the events.  

04/2019 - My work on "Consistent estimation of the max-flow problem: Towards unsupervised image segmentation" is selected as a finalist for best student paper competition in the Quality Control and Reliability Engineering at the IISE Annual Conference. 

03/2019 - INFORMS Student Chapter at Texas A&M University organized one of the biggest workshops so far (>140 participants) on Machine learning with Python. 

02/2019 - The preprint of our paper on "Consistent estimation of the max-flow problem: Towards unsupervised image segmentation" is now online.