Mathematics & Computer Science

Achievements & Participation 2019/20

Dr. K S Sridharan
Resource Person, Faculty Development Programme on Machine Learning & Deep Learning and Applications, Dept. of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 25-26 2019.

Prof. V Chandrasekaran
Resource Person and Invited talk, Faculty Development Programme on Machine Learning & Deep Learning and Applications, Dept. of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 25-26 2019.

Sri Darshan Gera
Resource person, Faculty Development Programme on Machine Learning & Deep Learning and Applications, Dept. of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 25-26 2019.

Resource person, Workshop on Recent trends in Machine Leaning and Importance of Python Programming, Department of Computer Science, Chennai National Arts and Science College, 7 Mar 2020.

Sri V Bhaskaran
Feasibility Study of an inter-operable data analysis platform for clinical data, Technical Poster accepted at IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC 2019), Pune, 16-19 Dec 2019.

Dr. Ajith Padyana
Mentoring and guiding Atal Tinkering Lab students for their research thinking and innovation in latest trends and technology.

Dr. Pallav Kumar Baruah
Key Note Talk on Set Membership Problem, Workshop on Geo Spatial Technology and its Applications, Dr. Ambedkar Institute of Technology, Bangalore, 28-30 Aug 2019.

Resource Person and three Invited talks, Faculty Development Programme on Machine Learning & Deep Learning and Applications, Dept. of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, 25-26 2019.

Resource Person on a Panel Discussion: Fostering Industry Academia Partnership, International Conference on High Performance Computing, Data, and Analytics (HiPC 2019), Pune, 16-19 Dec 2019.

Attended the 9^th IEEE International Advance Computing Conference (IACC 2019), MAM College of Engineering, Tiruchirappalli, Tamil Nadu, 13-14 Dec 2019.

Attended the 2^nd Workshop on Education for High Performance Computing (EduHiPC 2019), Hyderabad, 16-17 Dec 2019.

Attended a Faculty Development Programme on Recent Trends in Information Technology, Dept. of Information Technology, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, 18-24 May 2020

Attend a #EduTECHAsia Webinar on Education going online, now and for the future, 14 May 2020. 

Dr. S Balasubramanian
Second Runner up in Indian Driving Dataset Semantic Segmentation Challenge, Workshop on Recent trends in Machine Leaning and Importance of Python Programming, Department of Computer Science, Chennai National Arts and Science College, 7 Mar 2020.

Completed an online certification course on Coursera, Introduction to Ordinary Differential Equations, authorized by Korea Advanced Institute of Science and Technology (KAIST).

Dr. Avadhesh Kumar
Awarded a certificate for serving as a Reviewer of Mathematical Methods in the Applied Sciences, an SCI Journal, 2020.

Sri Udhay R Shankar
Attended the 9^th IEEE International Advance Computing Conference (IACC 2019), MAM College of Engineering, Tiruchirappalli, Tamil Nadu, 13-14 Dec 2019.

Sri Sapan Gupta
Attended a workshop on R Programming Language, IIT Bombay, 9 Nov 2019.

Achievements & Participation 2019/20

Sri Ananth V S
Selected for Direct Senior Research Fellowship by Council of Scientific and Industrial Research (CSIR).

Sri S R Pranav Sai
Qualified in the Institute of Actuaries of India (IAI) Exams in ACET (Actuarial Common Entrance Test), CS1 (Actuarial Sciences) and CP3 (Communication Practice)

Rohan Yashraj Gupta
Qualified in the Institute of Actuaries of India (IAI) Exams in ACET (Actuarial Common Entrance Test) and CM2 (Financial Engineering and Loss Reserving)

Achievements 2019/20

Projects & Dissertations
Listed below are the postgraduate and professional programme projects and dissertations for the academic year 2019/20:

SSSIHL Projects & Dissertations – 2019/20 – M.Sc. in Mathematics | M.Sc. in Data Science & Computing | B.C.A. | M.Tech. in Computer Science

National Examinations
A high percentage of SSSIHL postgraduate students qualified in national exams such as the GATE/JEST or the CSIR-UGC NET in 2019/20. The list below includes the national rank for each exam (if available):

GATE
Ajay Mukund (Computer Science) – 13948
Rishi Sridhar Rao (Computer Science) – 8249

CSIR UGC-NET for JRF
Ajay Mukund (Computer Science)

UGC-NET (LS)
Ajay Mukund (Computer Science)

To access the Research Areas for the department, click here.

Publications 2019/20

Rohan Yashraj Gupta, Satya Sai Mudigonda, Phani Krishna Kandala, Dr. Pallav Kumar Baruah, A Framework for Comprehensive Fraud Management Using Actuarial Techniques, International Journal of Scientific & Engineering Research, 10(3), 780-791 (2019). View Publication

Rohan Yashraj Gupta, Satya Sai Mudigonda, A Proposed Model for Measuring Protection of Policyholders’ Interest at Industry Level, Journal of Insurance Regulatory and Development Authority of India (IRDAI), 17(1), 59-65, (2019). View Publication

D K K Vamsi, Deva Siva Sai Murari Kanumoori, Bishal Chhetri, Additional Food Supplements as a Tool for Biological Conservation of Biosystems in the Presence of Inhibitory Effect of the Prey, Acta Biotheoretica, 1-35, (2019). DOI: https://doi.org/10.1007/s10441-019-09371-x

Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda, Enhanced Affinity for Spectral Clustering using Topological Node Features (TNFS), International Journal of Engineering and Advanced Technology (IJEAT), 9(1), 2249-8958, (2019). DOI: https://doi.org/10.35940/ijeat.A9450.109119

Lalith Srikanth Chintalapati, Raghunatha Sarma Rachakonda, Enhanced Similarity for Spectral Clustering using Local Steering Features, International Journal of Innovative Technology and Exploring Engineering (IJITEE), 8(12), 2278-3075, (2019). DOI: https://doi.org/10.35940/ijitee.L3073.1081219

P Sunil Kumar, Raghunatha Sarma, Satya Sai Mudigonda, An Analytical Model for Evaluating Social Security Schemes-A Focus on “Ayushman Bharat” Universal Health Scheme in India, International Journal of Recent Technology and Engineering (IJRTE), 8(3), 8929-8936 (2019). DOI: https://doi.org/10.35940/ijrte.C6631.098319

S R Pranav Sai, Ajay Singh Pawar, Satya Sai Mudigonda, Pallav Kumar Baruah, Application of High-Performance Computing for Calculating Reserves Using the Cape Cod Method, International Journal of Engineering and Advanced Technology, 9(1), 54-57, (2019). https://doi.org/10.35940/ijeat.A1032.109119

Ankit Kumar, Ramesh K Vats, Avadhesh Kumar, Approximate Controllability of Second-order Non-autonomous System with Finite Delay, Journal of Dynamical and Control Systems, (2020). DOI: https://doi.org/10.1007/s10883-019-09475-0

S R Pranav Sai, Phani Krishna Kandala, Satya Sai Mudigonda, Pallav Kumar Baruah, Assessing Sustainability of General Insurance Business through Real Time KPI using GPUs and Neural Networks, International Journal of Recent Technology and Engineering (IJRTE), 8(42), 620-628, (2019). DOI: https://doi.org/10.35940/ijrte.d1129.1284s219

K S P Sowndarya, Y Lakshmi Naidu, Dominator and Total Dominator Coloring on Square Chessboard, Global Journal of Pure and Applied Mathematics, 15(4), 499-504, (2019). Link to Publication

Conference Presentations / Proceedings 2019/20

Ananth V S, D K K Vamsi, Achieving Minimum Time Pest Eradication by Providing the Optimal Quality of Additional food to the Predator in a Predator-Prey system involving Type III Functional Response, Mathematical Models in Ecology and Evolution (16-19 Jul 2019) University of Lyon, France.

Kesavan M, Sandeep Sahu, Ajith Padyana, Prediction of Cascading Popularity: A Feature Based Approach, 26^th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC-2019) (17-20 Dec 2019) Hyderabad, India.

G Sai Akhilesh, D Gautham Sreeram, B Sateesh, R Raghunatha Sarma, Chandra Sekhar Malladi and Pallav Kumar Baruah, A Novel Real-time Scalable Recommender System using Collaborative Filtering and NLP Techniques, 26^th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC-2019) (17-20 Dec 2019) Hyderabad, India.

S R Pranav Sai, Ajay Singh Pawar, Satya Sai Mudigonda, Pallav Kumar Baruah, Application of High-Performance Computing for Calculating Reserves using the Cape Cod Method, 26^th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC-2019) (17-20 Dec 2019) Hyderabad, India.

Goli Uma Sankar, Pallav Kumar Baruah, Sathya Sai Mudigonda, Fraud Detection on Automobile Insurance Industry using SPARK, 26^th IEEE International Conference on High Performance Computing, Data and Analytics (HiPC-2019) (17-20 Dec 2019) Hyderabad, India.

S R Pranav Sai, Phani Krishna Kandala, Satya Sai Mudigonda, Pallav Kumar Baruah, Assessing Sustainability of General Insurance Business through Real Time KPI using GPUs and Neural Networks, Kalasalingam Global Conference (KGC-2019) (18-20 Dec 2019) Krishnankoil, Tamil Nadu.

Rohan Yashraj Gupta, Satya Sai Mudigonda, Phani Krishna Kandala, Pallav Kumar Baruah, Implementation of a predictive model for fraud detection in motor insurance using gradient boosting method and validation with actuarial models, Kalasalingam Global Conference (KGC-2019) (18-20 Dec 2019) Krishnankoil, Tamil Nadu.

Akhilesh Pandey, S Balasubramanian and Darshan Gera, Emphasizing Similar Feature Representations to Defend against Adversarial Attacks, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2019) (22-24 Dec 2020) KLE Technological University, Hubli, Karnataka. Proceedings: https://www.researchgate.net/publication/338209308_Emphasizing_Similar_Feature_Representations_to_Defend_against_Adversarial_Attacks

Abhinay B, Basanta Sharma, S Balasubramanian, Darshan Gera, Srikanth Khanna, CaReNet: CapsNet based Regression Network, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2019) (22-24 Dec 2020) KLE Technological University, Hubli, Karnataka. Proceedings: https://www.researchgate.net/publication/338209397_CaReNet_CapsNet_based_Regression_Network

Kelam Goutam, S Balasubramanian, iSalGAN – An Improvised Saliency GAN, National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG 2019) (22-24 Dec 2020) KLE Technological University, Hubli, Karnataka. Proceedings: https://www.researchgate.net/publication/338209473_iSalGAN_-_An_Improvised_Saliency_GAN

Sai Raam Venkataraman, S Balasubramanian, R Raghunatha Sarma, Building Deep Equivariant Capsule Networks, International Conference on Learning Representations (ICLR) (26 Apr – 1 May 2020) Virtual Conference. Proceedings: https://openreview.net/forum?id=BJgNJgSFPS

A Commutative Algebraic Approach to Generating Functions
Science and Engineering Research Board (SERB) – ₹15 Lakhs (2024-2027)

Principal Investigators: Dr. N Uday Kiran

The project aims to explore the intricate connections between algebraic tools and various aspects of number theory, with a particular focus on generating functions and trigonometric sums. In our previous works, we introduced a novel approach using commutative algebra to simplify and generalize known results, highlighting a striking parallel between the reciprocity laws and a partial fraction identity. This work extends to degenerate Bernoulli and degenerate Euler numbers, Umbral Calculus, and Hypergeometric Functions, with efficient algorithms in Computer Algebra Systems. Our ongoing research includes the investigation of geometric connections between partial fractions and reciprocity laws, establishing an algebraic Mittag-Leffler theorem, exploring algebraic generalizations of Ramanujan sums and their applications to deletion correction codes, and completing the commutative algebraic theory for generating functions.

DeepDroughtUAV: Deep learning based estimation of drought area in the Anantapur Cluster using UAV Surveillance
Andhra Pradesh State Council of Higher Education – ₹10 Lakhs (2024-2026)

Principal Investigators: Dr. Naresh Baba M and Dr. S Balasubramanian

The Anantapur district, located in the arid region of Andhra Pradesh, India, is highly susceptible to droughts due to its low and erratic rainfall. Traditional methods of drought monitoring, such as ground surveys and satellite imagery, often lack the resolution and timeliness required for effective intervention. The advancement of Unmanned Aerial Vehicles (UAVs) combined with deep learning techniques presents a novel approach for precise and real-time drought assessment.

Time-Optimal Control Problems and Bifurcation Analysis of Coupled Non-Linear Dynamical Systems with Application to Pest Eradication
National Board for Higher Mathematics (NBHM) – ₹15 Lakhs (2021-2024)

Principal Investigators: Dr. Krishna Kiran Vamsi Dasu

To prove the existence of optimal control and study the characteristics of the optimal trajectory for the time-optimal control problem for additional food provided predator-prey system exhibiting Holling type III and type IV functional response with quality and quantity of additional food as control parameters for mutually interfering predators.

Role and Interactions of Biological Markers in Causation of Type 1/Type 2 Lepra Reactions: A In Vivo Mathematical Modelling with Clinical Validation
The Council of Scientific & Industrial Research (CSIR) – ₹15 Lakhs (2021-2024)

Principal Investigators: Dr. Krishna Kiran Vamsi Dasu

The research aims to identify the possible factors (Biomarkers) and the underlying In vivo mechanism in causation of Type 1 lepra reaction through IFN – pathway and Interleukin 4 pathway, and determine and quantify the relationship between identified biomarkers and occurrence of lepra reactions. We will then test the relationship identified above through the pilot clinical validation.

Insurance Fraud Classifier for Health Insurance – CAS Individual Grants Competition 2022
Casualty Actuarial Society, USA – ₹14 Lakhs (2022-2024)

Principal Investigators: Prof. Pallav Kumar Baruah and Sri Sathya Sai Baba Mudigonda

To publish a journal research paper regarding creating a tool for insurance fraud detection using machine learning and deep learning models. The tool is intended to augment any organizations current fraud detection solution, giving ability to keep pace with the rapidly changing fraud environment, while minimizing costs and increasing profitability.

Sri Lalith Srikanth Chintalapati
Novel Affinity measures for Spectral clustering
Supervisor: Dr. R Raghunatha Sarma

Sri Subramaniyan M
Data Mining in Healthcare
Supervisor: Dr. R Raghunatha Sarma

Sri Rahul Raju Pattar
Micro Local Analysis for Pseudo Differential Operators
Supervisor: Dr. N Uday Kiran

Sri V Sai Raam
Interpretable Deep Learning
Supervisors: Dr. R Raghunatha Sarma and Dr. S Balasubramanian

Sri Ananth V S
Differential Equations, Mathematical Modeling of Ecological Problems
Supervisor: Dr. Krishna Kiran Vamsi Dasu

Sri Hirak Doshi
Mathematical Aspects of Optical Flow Computation
Supervisor: Dr. N Uday Kiran

Miss Kaluri Suseela Padma Sowndarya
Graph Theory
Supervisor: Dr. (Ms.) Y Lakshmi Naidu

Sri Bishal Chhetri
Mathematical Modelling of Infectious Diseases
Supervisor: Dr. Krishna Kiran Vamsi Dasu

Sri S R Pranav Sai
Actuarial Science: General Insurance
Supervisor: Dr. Pallav Kumar Baruah

Sri Rohan Yashraj Gupta
Fraud Detection and Prevention in Insurance
Supervisor: Dr. Pallav Kumar Baruah

Sri Rahul Poddar
Study of curvatures on manifolds with Applications to Machine Learning
Supervisor: Dr. S Balasubramaniam