Who?

PostDoctoral Fellow

Where?

University of Alberta

What?

Working in the state of the art labs of University of Alberta as postdoctoral fellow in Machine learning and fuzzy hybrid systems.

Supervising PhD students, M.Sc. and MEng Students in Neuro-fuzzy hybrid systems research applied in the field of civil and construction engineering.

Coordinating project tasks and keeping track of details and deadlines.

Responsible for developing machine learning component of research in construction engineering.

Who?

Specialist Machine Learning

Where?

ALGOLEAP TECHNOLOGIES

What?

Algoleap dives deep in to the world of analytics dealing with plain text analytics, understanding customer behaviour patterns, studying the decision making systems of customers and coming up with meaningful and insightful data useful for the corporate seeking to make a turn around with exceptional customer service.

Highlights of work done here

• Web scrapping

• Data extraction

• Sentiment analysis & NLP

• Predictive analysis

• Regression Analysis

Worked on following projects for a Corporate Hospital of Hyderabad

• Chatbot – Automated Solution for conversational A.I

• Predictive analysis

• Natural Language processing

Who?

Assistant Professor

Where?

Swami Vivekananda Institute of Technology, JNTU

What?

Swami Vivekananda Institute of Technology (SVIT) is a college affiliated to Jawaharlal Nehru Technological University (JNTU), Hyderabad. This college ranks among the best colleges in the city.

Responsible for teaching quantum and nano-Physics with Laboratory experiments in Physics to B.Tech students.

Teaching responsibility of 120 students.

Research in the field of image recognition, TensorFlow using Python environment

Who?

INSPIRE Fellow

Where?

Dayalbagh Educational Institute (Deemed University)

What?

Dayalbagh Educational Institute located at Dayalbagh , Agra is a self-sustained eco village estd. in 1915. The institute is accredited ‘A’ grade by NAAC and has been given deemed to be university status by the UGC in 1981. Ranked in the Top 10 Deemed to be Universities of the Country (2013)

Research work focuses on different machine learning based intelligent systems, which are robust and applicable to wide variety of problem domains. These models depict their potential to be used in real world applications.

• Parallel soft computing models based on type-2 neuro-fuzzy systems have been developed. Further, these models have been investigated on several benchmark applications to prove their optimality, robustness and their capability to handle uncertainty effectively. Three novel type-2 neuro-fuzzy models, based on subsethood and mutual subsethood composition, have been developed.

• In this work, type-2 fuzzy sets (T2FS) with symmetric Gaussian membership functions have been integrated with neuro-fuzzy systems. The description of individual models accompanies the necessary mathematical details underlying their operations. It has been shown that the proposed models have the universal function approximation property. Evolutionary and memetic learning is incorporated into these models to perform better search on complex, vast, multimodal and non-differentiable solution space.

• These models have been implemented on parallel platform using LAM/MPI library. The performance of these models is compared with existing models of both type-1 and type-2 neuro-fuzzy systems. Performance of these models is tested on applications domains such as classification, function Approximation, time series prediction and control.

Where?

Dayalbagh Educational Institute (Deemed University)

What?

Dr. Sumati completed her Bachelor of Science in Physics and Mathematics and was selected to represent the institute for the prestigious Summer Research Fellowship Programme (SRPF) sponsored by Government of India and hosted at JNCASR Bangalore, one of the premier research institutes of India. She worked in the area of theoretical aspects of nano molecules and their electrical properties under the supervision of Prof. Swapan Pati, JNCASR, Bangalore, India.

Where?

Dayalbagh Educational Institute (Deemed University)

What?

Pursuing Masters in Physics with specialization in Electronics, she focused on Solid state physics, semiconductor devices, microprocessors, VLSI design, computational methods, neural networks and computer programming. After experimenting with areas of research in Physics and electronics, she found her true calling in the field of Neural networks where she got fascinated by the machines emulating Human brain. This led her to delve deeper into the realms of Machine learning & its applications one of the most critical medical research areas of Cancer data sets, their classification using feature selection. This resulted in obtaining her M.Phil degree.

Where?

Dayalbagh Educational Institute (Deemed University)

What?

As an avid researcher, Dr. Sumati’s philosophical work kindled further thought process on taking the feature selection process to its logical next step by introducing Interval Type 2 Fuzzy systems and integrating them with neural networks and evolutionary computations. Her focus was on the theoretical and empirical aspects of integrating interval type-2 fuzzy sets, neural networks, evolutionary computing and parallel computing. This helped in solving problems of control classification, regression and time series forecasting to name a few. This research work culminated into obtaining her PhD.

Her PhD work resulted in the publication of high impact research papers published in IEEE Transactions, Elsevier and Springer journals & conferences. Check it out Here.

Where?

University of Alberta

What?

Dr. Sumati’s work in machine learning led to further collaborative research, enabling her to work as a Post-doctoral fellow in the University of Alberta, Canada. Currently she is researching the application of Machine learning in Construction Engineering.