
The composition of the teaching faculty of the Department of Mathematics & Computer Science (DMACS) provides a mix of expertise in Mathematics and Computer Science. Given this unique position, DMACS is committed to fully exploit its potential and venture into interdisciplinary research. The Department offers excellent facilities for research and projects in theoretical as well as technological areas.
The active areas of research in Mathematics are Ecological and Epidemic Modelling, Microlocal Analysis, Dynamical systems, Differential Equations-Existence and Qualitative study and Interface Problems. High Performance Computing, Image processing and Computer Vision, Machine Learning & Deep Learning, Datamining and Cryptography are major thrust areas in Computer Science. The faculty keeps abreast of the latest developments in their fields by access they have to the leading journals in their respective areas and also by way of collaborating with academia and industry, both in India and abroad. The department has impressive list of adjunct faculty from India and abroad who regularly visit the SSSIHL, adding strength and insight to the academic and research programs. The department has signed several MoUs with IT industries to develop solutions/products of social relevance.
Vision
To achieve excellence and recognition in teaching and research in the fundamental and applied areas of Mathematics, Computer Science and Computational Sciences, with a focus towards serving society at large.
Programmes Offered
Undergraduate
B.Sc. (Hons.) in Mathematics
B.Sc. (Hons.) in Computer Science
Postgraduate
M.Sc. in Mathematics
with option to specialize in either Computer Science or Actuarial Science
M.Sc. in Data Science & Computing
Integrated Programme available only for B.Sc. (Hons.) in Computer Science graduates
Professional
M.Tech. in Computer Science
Research
Ph.D.
For full details on all individual SSSIHL programmes for admissions, click here.
Facilities
The following facilities are available for students in the Department across all the campuses:
Department Libraries
The department is well equipped with a collection of a variety of books in different areas of specializations in the fields of mathematics and computer science.
Laboratories
The department hosts the following labs:
Artificial Intelligence Lab
The AI lab caters to research and collaborative projects in Computer Vision & Machine, Deep Learning, etc. It includes the following equipment:
Sony PLaystation, XBOX, Microsoft Kinnect
SJ Cam SJ4000 12MP Wi-Fi Action Camera
Zoom H1 Handy portable Digital Recorder
Vstarcam HD 1280X720P H.264 wireless ip camera
Audio-Technica ATR3350 omnidirectional wired condensor lapel microphone
Infiction Labs Android Phone Controlled DIY Robotics kit
Raspberry Pi camera module V2-8mp with case
Canon EOS 1300D DSLR Camera
Leopard imaging aptina Stereo USB3.0 Camera module
Leopard imaging Standard IP Camera
ARM 9 Boards: 3
ARM 10 Board: 1
HPC Lab
Tis supports the research efforts that require High Performance Computing in the field of Computational Science, Actuarial Science, Artificial Intelligence and Machine Learning. It includes the following equipment:
3 Node Cluster along with GPUS:
Each Node with 64 Cores,256GB RAM, 10TB HDD, K40 Nvidia GPU
108 TB SAN (storage area network):
5 Servers with, each with 64 Cores, 256 GB RAM, 10TB HDD, with GPUs like GeForce RTX 2080, K-20s, TiTanX, Tesla 2050S. GeForce GTX 680, GeForce 9800 GX2, Tesla C870, GigaNetwork with 3-Layer Switch and Infiniband Switch
Postgraduate Computer Labs (3)
These Labs are used by Postgraduate students for regular programming classes. It includes the following equipment:
PG Lab with 40 workstations (Intel Core2Duo with 4GB RAM, Intel i5 8GB RAM) – doubles up for Hands-on workshops/tutorials
I M.Tech. Lab with 18 workstations (Intel i5 16GB RAM)
II M.Tech. Lab with 18 workstations (Intel i7 8GB RAM)
Faculty
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 9th IEEE International Advance Computing Conference (IACC 2019), MAM College of Engineering, Tiruchirappalli, Tamil Nadu, 13-14 Dec 2019.
Attended the 2nd 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 9th 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.
Doctoral Research Scholars
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)
Students
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)
Research Areas
To access the Research Areas for the department, click here.
Research Publications
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, 26th 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, 26th 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, 26th 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, 26th 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
Funded Research Projects
Big Data Analytics and High Performance Computing
Maestro Technology, USA – ₹90 Lakhs (2017-2020)
Principal Investigators: Dr. Pallav Kumar Baruah
The project will develop solutions and tools for handling problems related to Big data using emerging High Performance Computing techniques and technologies like Machine Learning, Deep Learning, Artificial Intelligence and Blockchain.
This will aid in the execution of Methods and Tools for handling data in domains like Healthcare, Insurance, Streaming conditions, Disaster Relief systems, etc.
AI in Sports
Grey Scientific Lab – ₹5 Lakhs (2019-2021)
Principal Investigators: Dr. R Raghunatha Sarma and Sri Srikanth Khanna
The project will generate useful analytics for sports persons automatically through computer vision and machine learning techniques. It will help deliver a prototype module for extracting analytics of sports person in cricket. This will in turn help coaching institutions deliver effective coaching to youngsters.
Whole Slide Imaging (WHI)
Grey Scientific Lab – ₹5 Lakhs (2019-2021)
Principal Investigators: Dr. R Raghunatha Sarma and Sri Srikanth Khanna
Computer Vision and Machine Learning (ML) techniques will be employed to grab high resolution image of a pathology slide and ML algorithms will be used to classify the slides as disease or non-disease.
Doctoral Research Scholars
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