"Sriniwas has a wonderful rapport with people of all ages, especially students. He is extremely organized and reliable. He can work independently and is able to follow through to ensure that the job gets done. He is a dependable, mature, and great supporter." -Dr Sraban Kr Mohanty (Former Supervisor and Professor) I see my self as an inquisitive person and a quick learner. I am adaptable, ebullient, calm, empathetic and prudent. I define myself, "a leader as a team player". I, currently pursuing doctoral studies in the department of the Industrial and System Engineering, have a Masters and a Bachelors degree in Computer Science. Machine Learning, Algorithm Analysis, Data Analytics and Complex Networks are some of research areas, I am primarily interested. My experiences include working in industry, research and academia. Working in the acedemia, I am enhancing my mentoring and organization skills. I also worked as a research fellow for one of the prestigious institutes in India and a software developer in the IT industry. Do not hesitate to contact me for more details and further discussions.
State University of New York at Binghamton, New York
Ph.D, Industrial & Systems Engineering, CGPA 4/4
IIIT DM, Jabalpur India
M.Tech, Computer Science & Engineering, CGPA 9.4/10
Uttarakhand Technical University, India
B.Tech, Computer Science & Engineering, 70/100
Binghamton University, NY, USA
Teaching Assistant: Computational Tools and Enterprise Systems Engineering
NPSEI Uttarakhand Technical University India
Assistant Professor (Computer Science department)
IIT Guwahati, India
Research Fellow
(C-DAC) (a premier R&D organization of Govt. of India)
Research Intern
Infosys Limited, India
Systems Engineer
Objective: Form clusters of demographic areas according to the mortality rate and various diseases.
Technology: Principal Component Analysis and Clustering
Outcome: Clusters of counties based on mortality rate and disease that can be used to form policies
Objective: Find interesting patterns in Indian languages Wikipedia edition edit histories.
Technology: Hadoop - MapReduce with Java.
Outcome: Identified some interesting editor behavior patterns for Hindi, Marathi, Telugu Wikipedia editions
Objective: Adapt the existing algorithms for large data without changing the core functionality and methodology of the algorithms.
Technology: External Memory model, C++, STXXL
Outcome: Designed a clustering algorithm for large datasets.
Objective: Design a new effective clustering algorithm with least restrictions on the shape, size, density and type of data.
Technology: Python, Random walk model
Outcome: Developed a new algorithm that combines concept of random walk with shared near neighbor technique.
[Presentation] Sriniwas Pandey and Hiroki Sayama, Dynamics of user eccentricity on GAB social media, presented as a talk at the 2021 Conference on Complex Systems (CCS 2021), October 25-29, 2021, Lyon, France / online.
[Presentation] Sriniwas Pandey and Hiroki Sayama, Analyzing eccentric behavior of GAB social media users, presented as a poster (interactive presentation) at NERCCS 2021: Fourth Northeast Regional Conference on Complex Systems, March 31-April 2, 2021, conference held online
Pandey Sriniwas, Pankaj Kumar Y., Samal M., Sraban Kumar M. (2019) Nearest Neighbor-Based Clustering Algorithm for Large Data Sets. Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore
Pandey Sriniwas, Samal M., Mohanty S.K. (2020) An SNN-DBSCAN Based Clustering Algorithm for Big Data. In: Pati B., Panigrahi C., Buyya R., Li KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1082. Springer, Singapore.
