Ph.D. (submitted thesis), looking forward to teach and guide young minds in the field of Computer Sciences and pursuing research in the fields of Wireless Sensor Networks and IoT.
In the words of Krzysztof Kieslowski – “live more carefully”, I seek, in time, to apply my self (me / I) and technology to help in achieving UN Sustainable development goals, while also seeking ways to promote ecological consciousness and empathy towards all life.
Ph.D., Computer Science, University of Hyderabad, Dec 2021 Dissertation topic: ‘Techniques for Load Reduction and Balancing in Wireless Sensor Networks’
M.Tech., CS, International Institute of Information Technology – Hyderabad, Jun 2009
B.Tech., CSIT, Vidya Jyothi Institute of Technology (JNTU-H), Jun 2007
Intermediate, MPC, Gowtham Junior College, Hyderabad, May 2003
Xth Standard, ICSE, Nalanda Public School, Hyderabad, May 2001
Chauhan A.A., Udgata S.K., Heuristic Approaches to Load Balancing in Internet of Things using Multiple Cluster Heads, Communicated to IEEE Sensors journal. (Under review)
Chauhan, A.A., Udgata, S.K. (2022) Predictive Models for Load Reduction in Wireless Sensor Networks. In: Udgata, S.K., Sethi, S., Gao, XZ. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 431. Springer, Singapore.
Chauhan A.A., Udgata S.K. (2021) Load Reduction Using Temporal modelling and Prediction in Periodic Sensor Networks. In: Udgata S.K., Sethi S., Srirama S.N. (eds) Intelligent Systems. Lecture Notes in Networks and Systems, vol 185. Springer, Singapore.
A.A. Chauhan and S.K.Udgata, “Process for Difference based Aggregation and Recovery,” Patent Published, Journal Number 28/2021. (July 2021)
Chauhan, A.A.,Udgata, S.K. Data Aggregation using Difference transfer for Load Reduction in Periodic Sensor Networks. Wireless Pers Commun 115, 1507–1524 (2020).
A. A. Chauhan and S. K. Udgata, “Load Balancing in Wireless Sensor Networks using Multiple Cluster Heads,” 2020 IEEE-HYDCON, 2020, pp. 1-7.
ORCID ID: 0000-0001-8978-0709
Assistant Professor, Mahindra University (Present)
Teaching Assistant, University of Hyderabad, Hyderabad, Jan 2015 – Jan 2019
Senior Analyst, NTT Data, Hyderabad, Mar 2013 – Jul 2013
Software Engineer, MAQ Software, Hyderabad, Nov 2009 – Jan 2013
Research Interests: Wireless Sensor Networks, Data Aggregation in Wireless Sensor Networks, Energy-Efficient Communication Protocols, Sensor Data Collection and Transmission, Network Optimization Algorithms.
Gourav Saha is an Assistant Professor in the Department of Computer Science and Engineering of Mahindra University. His broad research area is decision and control theory. He has applied tools from control theory, nonlinear programming, adversarial online algorithms, game theory, and Markov decision processes to solve various problems related to networking systems.
Ph.D. in Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute, 2015 – 2020. Thesis title: An Optimization Approach to the Economics of Efficient Multi-Tiered Spectrum Sharing
MS (by research) in Electrical Engineering (Control Systems specialization), Indian Institute of Technology Madras, 2013 – 2015.
BE in Electronics and Instrumentation Engineering, Madras Institute of Technology, 2008 – 2012.
G. Saha and Alhussein A. Abouzeid, “Optimal Spectrum Partitioning and Licensing in Tiered Access under Stochastic Market Models,” in IEEE/ACM Trans. on Networking, vol. 29, pp. 1060-1073, 2021.
G. Saha, Alhussein A. Abouzeid, Z. Khan and M. Matinmikko, “On the Optimal Duration of Spectrum Lease in Exclusive License Markets with Stochastic Demand,” in IEEE/ACM Trans. on Networking, vol. 29, pp. 1948-1961, 2021.
G. Saha and Alhussein A. Abouzeid, “Optimal Joint Partitioning and Licensing of Spectrum Bands in Tiered Spectrum Access under Stochastic Market Models,” in International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, pp. 1-8, 2020.
G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Optimal Duration of Spectrum Lease: A Mathematical Approach,” in IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1-10, 2018.
G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Online Algorithm for Leasing Wireless Channels in a Three-Tier Spectrum Sharing Framework,” in IEEE/ACM Trans. on Networking, vol. 26, pp. 2623-2636, 2018.
G. Saha, Alhussein A. Abouzeid and M. Matinmikko, “Competitive Online Algorithm for Leasing Wireless Channels in 3-Tier Sharing Framework,” in 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 792-799, 2016.
G. Saha and R. Pasumarthy, “Maximizing Profit of Cloud Brokers under Quantized Billing Cycles: A Dynamic Pricing Strategy Based on Ski-Rental Problem,” in 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 1000-1007, 2015.
G. Saha, R. Pasumarthy and P. Khatavkar, “Towards Analog Memristive Controllers,” in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 62, pp. 205-214, 2014.
D. Kannapan, G. Saha, S. Kumar and A. Gulati, “Design of the Attitude Control Subsystem of IITMSAT, a geomagnetic field pointing satellite,” in Proc. AAS/AIAA Space Flight Mechanics Meeting, 2014.
R. Pasumarthy, G. Saha, F. Kazi and N. Singh, “Energy and power based perspective of memristive controllers,” in 52nd IEEE Conference on Decision and Control, pp. 642-647, 2013.
S. Somalraju, V. Murali, G. Saha, V. Vaidehi, “Robust railway crack detection scheme (RRCDS) using LED-LDR assembly,” in International Conference on Recent Trends in Information Technology, 2012.
Gourav Saha is an Assistant Professor in the Department of Computer Science and Engineering of Mahindra University.
Postdoctoral Research Associate, School of Electrical and Computer Engineering, Purdue University, 2021 – 2022.
Postdoctoral Scholar, Department of Electrical Engineering, The Ohio State University, 2020 – 2021.
Teaching Assistant, Rensselaer Polytechnic Institute, 2017 – 2020.
Research Intern, IBM Research Bangalore, May 2017 – August 2017.
My current research interests include:
Application of Partially Observable Markov Decision Process and Multi-Armed Bandits to Millimeter Wave Communication.
Addressing location privacy concerns in spectrum sharing using tools from information theory.
Game theoretic modeling of strategic valuation of wireless spectrum bands.
Mr. Rahul Roy is currently working as an Assistant Professor in the department of Computer Science and Engineering at École Centrale School of Engineering, Mahindra University, Hyderabad in December 2022.
He received his Integrated M.Sc in Computer Science and Engineering from Assam University in year 2009. In 2011, he received his M. Tech. degree in the specialization of Computer Science and Engineering at Kalinga Institute of Technology, Odisha. He is pursuing his Ph.D. program from Jadavpur University.
He is the recipient of University Gold Medal for securing 1st class first position in Integrated M.Sc from Assam University in 2009. He has also received DST young scientist travel award in 2015 for attending Workshop organized at Field’s Institute, Toronto. In PREMI 2021 and ICAIHC 2022, he was awarded with best paper award for presenting two of his research works.
Before joining (MU), he was working as an Assistant professor in GITAM University Hyderabad since December. 2020 and National Institute of Science and Technology, Odisha from February 2019. He worked as research fellow in various projects at Indian Statistical Institute, Kolkata before joining Visvesvaraya PhD fellowship offered by MeitY in 2016.
His research interests include Medical Image Analysis, Computer Vision, Neurocognitive learning, Machine Learning, Natural Language Processing and Computational Intelligence.
Ph.D. (to be submitted soon) from Jadavpur University in Computer Science and Engineering
M.Tech in Computer Science and Engineering from Kalinga Institute of Technology in 2011 with 9.2 CGPA
Integrated M.Sc in Computer Science from Assam University in 2009
Higher Secondary (AISCCE) from Central Board of Secondary Education in 2004
Matriculation (AISSE) from Central Board of Secondary Education in 2002 with
Roy, R., Ghosh, S., Ghosh, A., Wang, L., & Chan, J. H. (2023). Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks. In Ambient Intelligence in Health Care pp. 251-260. Springer, Singapore. (Best Paper Award)
Roy, R., & Ghosh, S., Speckle De-noising with Local Oriented Structure for Edge Preservation in Ultrasound Images, 9th Pattern Recognition and Machine Intelligence, (PReMI, 2021), Kolkata, 2022 (Accepted, Best Paper Award)
Roy, R., Ghosh, S., Ghosh, A., Clinical Ultrasound Image Standardization using Histogram Specification. Computers in Biology and Medicine, vol 120, (2020), doi: https://doi.org/10.1016/j.compbiomed.2020.103746.
Roy, R., Ghosh, S., & Ghosh, A.,(2018) Salient Object Detection based on Bayesian Surprise of Restricted Boltzmann Machine, 11th Indian Conference on Computer Vision, Graphics and Image Processing, No. 46, Pages 1–8 , (ICVGIP 2018), Hyderabad, 2018, doi.org/10.1145/3293353.3293399 .
Roy, R., Ghosh, S., Ghosh, A., Speckle de-noising of clinical ultrasound images based on fuzzy spel conformity in its adjacency. Applied Soft Computing, 73, 394-417 2018.
Subba, P., Ghosh, S., & Roy, R., (2017) Partitioned-Based Clustering Approaches for Single Document Extractive Text Summarization, In proceedings of International Conference on Mining Intelligence and Knowledge Exploration, pp.297-307, Hyderabad.
Roy, R., Ghosh, S., Cho, S. -B., & Ghosh, A.,(2017) Despeckling with Structure Preservation in Clinical Ultrasound Images Using Historical Edge Information Weighted Regularizer, In proceedings of International Conference on Mining Intelligence and Knowledge Exploration, pp. 144-155, Hyderabad.
Roy, R., & Ghosh, A.,(2014) Rule induction based object tracking. In proceedings of Advances in Computing, Communications and Informatics, pp. 1871 – 1875, Delhi
Dehuri, S., Roy, R., Cho, S. −B, Ghosh, A., An improved swarm optimized functional link artificial neural network (ISO−FLANN) for classification. Journal of Systems and Software 85(6): 1333-1345, 2012
Roy, R., Dehuri, S., Cho, S. −B., A novel particle swarm optimization algorithm for multi-objective combinatorial optimization problem. International Journal of Applied Metaheuristic Computing, 2(4): 41-57, 2011
Das, M. N., Roy, R., Dehuri, S., Cho, S. −B., A new approach to associative classification based on binary multi-objective particle swarm optimization., International Journal of Applied Metaheuristic Computing, 2(2): 51-73, 2011
Roy, R., Das, M.N., Dehuri, S., (2011) A Combinatorial Multi-objective Particle Swarm Optimization based Algorithm for Task Allocation in Distributed Computing Systems, In proceedings of International conference on Advanced Computing and Communication (ACC 2011), pp. 113-125, kochi
Dehuri, S., Roy, R., & Cho, S. -B (2011) An Adaptive Binary PSO to Learn Bayesian Classifier for Prognostic Modelling of Metabolic Syndrome, In proceedings of the 13th annual conference companion on genetic and evolutionary computation, pp. 495-502, Dublin, Ireland
Mishra, B., Addy, A. K., Roy, R., dehuri, S., & Cho, S. B. (2011). Parallel Multiobjective Genetic Algorithm for Associative Classification Rule Mining. In proceedings of International Conference on Communication Computing and Security (ICCCS 2011). pp. 409-414, Rourkela.
Mishra, B., Roy, R., Dehuri, S., & Cho, S. (2011). Serial and Parallel Genetic Based Learning Algorithm for Bayesian Classifier to Predict Metabolic Syndrome. In proceedings of the Fourth Annual ACM Bangalore Conference (COMPUTE 2011). pp. 1:1–1:6, Bangalore 2011
Assistant Professor in Mahindra University, Hyderabad (December, 2022 -till date)
Assistant Professor in Gandhi Institute of Science and Technology (December, 2020 -November, 2022)
Assistant Professor in National Institute of Science and Technology, Odisha, (February, 2019-November 2020)
Visvesvaraya Research Fellow in Indian Statistical Institute, Kolkata ( March 2016- January, 2019, Funded by: MeitY)
Project linked Personnel in Indian Statistical Institute in Project titled “Tracking of Moving objects from video sequence using pattern classifiers” (November, 2015- February, 2016)
Research Fellow in Indian Statistical Institute in Project titled “Processing and Analysis of Aircraft images with Machine Learning Techniques for Locating Objects of Interests” (August 2011- August 2015, Funded by US-Army)
Grants:
Rahul Roy (PI), A Computer Vision based Tool for Understanding History from Artwork and Iconography depicted in the Indian Monuments, GITAM Research Seed Grant (Grant no: 2021/0119), 2022 (Rs 1.40 lacs)
Research Interest:
Medical Image Analysis
Computer Vision and Image Processing
Neurocognitive Learning
Machine Learning
Natural Language Processing
Computational Intelligence
Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering. He holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Patna (March 2022). His research primarily focuses on Time Series Analysis and Data Science.
Indian Institute of Technology (IIT) Patna, Bihar, India, Ph.D. in Time Series Analysis, IIT Patna, 2017 – 2022
National Institute of Technology (NIT), Durgapur, India, Masters in Technology, Cellular Automata, NIT Durgapur, 2014 – 2016
Neeraj, U. Satija, and J. Mathew, R.K. Behera (2021): “A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram from Seismocardiogram Signal”, In IEEE Signal Processing Letters (SPL).
Neeraj, V. Singhal, J. Mathew, and R.K. Behera (2021): “Detection of Alcoholism Using EEG Signals and a CNN-LSTM-ATTN Network”, In Elsevier Computers in Biology and Medicine (CIBM).
Neeraj, J. Mathew, R. K. Behera (2021): “EMD-Att-LSTM: A Data- Driven strategy Combined with Deep Learning Framework for Short Term Power Load Forecasting”, In IEEE (SGEPRI) Journal of Modern Power System and Clean Energy (MPCE).
Neeraj, V. Singhal, and J. Mathew (2021): “A Deep Learning Architecture for Spatio-Temporal Feature Extraction and Alcoholism Detection”, 17th IEEE-EMBS International Conference on Biomedical and Health Informatics (IEEE BHI’21).
Neeraj, J. Mathew, M. Agarwal, R. K. Behera (2020): “Long Short Term Memory-Singular Spectrum Analysis based model for electric load forecasting”, In Springer Electrical Engineering.
Neeraj, J. Mathew, and R. K. Behera (2020): “Power Load Forecasting Based on Long Short Term Memory-Singular Spectrum Analysis”, In Springer Energy Systems.
Dr. Neeraj is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering.
Assistant Professor in GITAM University, Hyderabad from Feb- 2022 to Aug-2022
Research cum Teaching Assistant, Indian Institute of Technology Patna (July 2017 to February 2022)
FDP session at AICTE-ATAL Online FDP (Faculty Development Programme) on Signal Processing and Machine Learning for AI-Driven Healthcare Systems, Jun 2021
AICTE FDP-2020 Department of Computer Science and Engineering, JNTUA College of Engineering, Anantapur, Dec 2020
FDP session at DIT, RSET, Oct 2020
THE PROCESSING OF ONLINE FDP AT IGIT SARANG, Jun 2020
TA-ship in IITP-BSE PGCDABI course, Jun 2020 – Aug 2020
Teaching Assistant, National Institute of Technology Durgapur (July 2014 to June 2016)
Current research interests in the areas of Data Science, Time Series Analysis, Data Visualization, Time Series Forecasting, Classification and generation, Adversarial Machine Learning.
Developed an IoT based mobile app and website to capture the electric load consumption data using raspberry pi and serial modbus connection.
Developed expertise in recording EEG signals for familiarity/non- familiarity detection of signals.
Developed expertise in recording EEG signals for lie detection of signals.
Studied the impact of attention in alcoholism detection network. Introduced two intelligent models for detecting alcoholism using time series classification.
My line of research has particular reference to computer modelling and simulation in order to analyze the mechanics of deformation and failure of advanced engineering materials. Some of the materials I have worked on extensively include amorphous alloys, shape memory alloys and metal matrix composites.
Ph.D., Mechanical Engineering, Indian Institute of Technology Bombay, India, 2019
M.S., Aerospace Engineering, Indian Institute of Technology Madras, India, 2011
B.Tech., Kerala University, India, 2008
Karthik Reddy Thatipelli, Harshavardhan Kalathur, Gouripriya S., Size-dependent mechanics in finite cellular lattices: structural and Cosserat responses under tension and bending, International Journal of Solids and Structures, Volume 326, 2026,113750, ISSN 0020-7683, https://doi.org/10.1016/j.ijsolstr.2025.113750.
“Micro-mechanical analyses of particle reinforced ex-situ Bulk Metallic Glass Matrix Composites”, International Conference on Advances in Mechanical Engineering, ICAME 2020, held at VNIT, Nagpur, January 10 – 11, 2020. In: Kalamkar V., Monkova K. (eds) Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore.
“Three dimensional finite element simulations of mechanics of deformation of Shape Memory Alloy reinforced Bulk Metallic Glass Composites”, International Conference on Advancements and Futuristic Trends in Mechanical and Materials Engineering, AFTMME 2019, held at IIT Ropar, December 5-7, 2019.
“A comparative study on effect fibre volume fraction on ex-situ BMG composites through unit cell simulations”, International Conference on Computer Modeling and Simulation, ICCMS 2016, held at IIT Bombay, 27th June- 1st July, 2016.
“Finite Element Investigations of Mechanisms of Deformation in Porous Bulk Metallic Glasses”, Applied Mechanics and Materials Conference, ASME 2015, held at Seattle, 29th June-1st July, 2015.
“Finite Element Investigations of Mechanisms of Deformation in Porous Bulk Metallic Glasses”, Indian National Conference for Applied Mechanics, INCAM 2015, held at IIT Delhi, 13th July-15th July, 2015.
“Finite Element Investigations of Mechanisms of Deformation in Porous Bulk Metallic Glasses”, Mechanical Engineering Graduate Research Symposium, MEGRES 2015, held at IIT Bombay, 21st March 2015.
Research associate in computational Solid Mechanics, IIT Bombay.
Faculty Member handling teaching and course coordination at engineering institutions.
Structural Analysis and Non-Conformance Evaluation Engineer, GKN Aerospace India.
Deformation and failure of porous bulk metallic glasses
Developed a 3D unit cell model for porous bulk metallic glasses having a wide range of porosity (2%-60%)
Quantified damage parameters for low porous Pd based bulk metallic glasses
Investigated behavior of porous metallic glasses subjected to wide a range of stress triaxialities
Investigated influence of a friction parameter, strain softening parameter and Poisson’s ratio on porous bulk metallic glasses
Mechanistic origins of work hardening in shape memory alloy reinforced bulk metallic glass composites
Developed a 3D unit cell model for shape memory alloy particle reinforced bulk metallic glass composites
Implemented user material subroutines for shape memory alloys and bulk metallic glasses, tested using benchmark problems
Elucidated the mechanistic origins of work hardening behavior exhibited by shape memory alloy bulk metallic glass composites
Deformation behavior of ex-situ bulk metallic glass composites
Developed a 3D unit cell model for fiber reinforced ex-situ bulk metallic glass composites for a wide range of fiber volume fraction (0-60%)
Developed a full model for 20% fiber reinforced bulk metallic glass composite
Performed parametric studies on the ex-situ bulk metallic glass composites with varying volume fraction and reinforcement material
Dr. Sowmini Devi Veeramachaneni is an Assistant Professor in Computer Science & Engineering Department at Mahindra University. Sowmini has competed her Ph.D. from University of Hyderabad. She also holds a master’s degree in computer science from University of Hyderabad.
Ph.D., Computer Science, University of Hyderabad, Hyderabad. Thesis Topic: Novel Techniques for Cross-Domain Recommendation
M.Tech., Computer Science, University of Hyderabad, Hyderabad, 2014. Thesis Topic: Recommender Systems: A Matrix Factorisation based Approach
B.Tech., Computer Science & Engineering, PVP Siddhartha Institute of Technology, JNTUK, Vijayawada, 2012.
Akshar Chintalapally, Sowmini Devi Veeramachaneni, Yaswanth Gavini, Arun K Pujari. A study on data imputation and prediction modelling using maximum margin matrix factorization, Knowledge and Information Systems (2026).
Arun K Pujari, Sowmini Devi Veeramachaneni, Gradient based Hybridization of PSO, International Conference on Computer Science and Artificial Intelligence (CSAI), 2023. https://doi.org/10.1145/3638584.3638592
Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, and Vikas Kumar, A hinge-loss based codebook transfer for cross-domain recommendation with non-overlapping data, Information Systems, 2022. https://doi.org/10.1016/j.is.2022.102002
Sowmini Devi Veeramachaneni, Arun K Pujari, Vineet Padmanabhan, and Vikas Kumar, A Maximum Margin Matrix Factorisation based Transfer Learning Approach for Cross-Domain Recommendation, Applied Soft Computing, 85:105751, 2019. https://doi.org/10.1016/j.asoc.2019.105751
Sowmini Devi, Vineet Padmanabhan, Arun K Pujari, A matrix factorisation & clustering-based approach for transfer learning, Pattern Recognition and Machine Intelligence (PReMI), Springer International Publishing, pages 77–83, 2017.
Salman K. H, Arun K Pujari, Vikas Kumar, and Sowmini Devi V., Combining swarm with gradient search for maximum margin matrix factorization. The Pacific Rim International Conference on Artificial Intelligence (PRICAI), pages 167–179, 2016. https://doi.org/10.1007/978-3-319-42911-3_14
Sowmini Devi, Venkateswara Rao Kagita, Arun K. Pujari, Vineet Padmanabhan., Collaborative filtering by PSO-based MMMF, IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages 569-574, 2014. https://doi.org/10.1109/SMC.2014.6973968
Journals/Conferences Invited Reviewer
Journal of Computational Design and Engineering
IEEE Transactions on Cybernetics
Neurocomputing
IEEE Access
Science China Information Sciences (SCIS)
International Conference on Advanced Computing and Intelligent Engineering (ICACIE)
Sowmini Devi Veeramachaneni is an Assistant Professor in Computer Science & Engineering Department at Mahindra University.
Research cum Teaching Assistant, University of Hyderabad, (July 2015 to July 2020)
Lecturer, Rajiv Gandhi University of Knowledge Technologies (RGUKT-IIIT), Nuzvid. Andhra Pradesh, (July 2014 – June 2015)
Teaching Assistant, University of Hyderabad, (June 2013 to June 2014)
Her research areas include Machine Learning, Transfer Learning, Recommender Systems
Awards
Qualified CSIR – UGC – NET with an All India Rank of 70
Qualified UGC – NET
Qualified GATE 2012 with 98.57 percentile
Dr. Yayati Gupta is an Assistant Professor in the Computer Science & Engineering Department at Mahindra University École Centrale School of Engineering. She is also an instructor for a couple of NPTEL/SWAYAM courses (Social Networks, Joy of Computing).
She holds a Ph.D. in Computer Science and Engineering from Indian Institute of Technology Ropar (November 2017). Her research primarily focuses on Social Network Analysis and Complex Networks. The major research projects include “Modeling Information Diffusion” and “Understanding Virality of Internet Memes” in online social networks.
Post doctorate at IIT Delhi (2018-2019)
2012 – 2017 : Ph.D., Indian Institute of Technology Ropar. Thesis title: Dynamics of information diffusion on online social networks.
Gupta, Yayati. Dynamics of information diffusion on online social networks. Indian Institute of Technology Ropar, 2017.
Roy, Pronoy; Gupta, Yayati; Ramawat, Prashant; Iyengar, SRS; Rajeshwari, K. A longitudinal study of public emotions during demonetization in India., 2019.
Gupta, Yayati; Das, Debarati; Iyengar, SRS. Pseudo-cores: the terminus of an intelligent viral meme’s trajectory. Complex Networks VII: CompleNet 2016, Springer, 2016.
Gupta, Yayati; Saini, Jaspal Singh; Sridhar, Nidhi; Iyengar, SRS. Shifting behaviour of users: Towards understanding the fundamental law of Social Networks. COMSNETS, IEEE, 2016.
Saxena, Akrati; Iyengar, SRS; Gupta, Yayati. Understanding spreading patterns on social networks based on network topology. IEEE/ACM ASONAM, 2015.
Kompala, Neeharika; Iyengar, SRS; Gupta, Yayati. Are We Birds of the Same Feather? ICDCN, ACM, 2017.
Gupta, Yayati; Iyengar, SRS; Saxena, Akrati; Das, Debarati. Modeling memetics using edge diversity. Social Network Analysis and Mining, Springer, 2019.
Singhal, Shivam; Gupta, Yayati; Garg, Ashish. Fluid dynamics android application: an efficient semi-implicit solver for compressible flows., Preprints, 2019.
Saxena, Akrati; Sethiya, Nivedita; Saini, Jaspal Singh; Gupta, Yayati; Iyengar, SRS. Social network analysis of the caste-based reservation system in India. International Conference on Computational Data and Social Networks, Springer, 2022.
Masina, Saisujay; Nimmaneni, Sathvik; Gatttagoni, Navaneeth; Gupta, Yayati; Sukhija, Sanatan. Intertwining of Communities, Core and Periphery in Complex Networks. ICETCI, IEEE, 2022.
Reddy, Regatte Varshith; Nethi, Anish; Sukhija, Sanatan; Gupta, Yayati. Detecting DeepFakes: A Deep Convolutional Neural Network Approach with Depth Wise Separable Convolutions. ICETCI, IEEE, 2023.
Anjum, Shagufta; Masood, Mohammed Rayid Ali; Gupta, Yayati; Sukhija, Sanatan. Leveraging Network Similarity Measures for Recommendation Systems. ICETCI, IEEE, 2022.
Nethi, Anish; Sukhija, Sanatan; Gupta, Yayati. BMI Prediction for Full Body Images Using PoseNet Embeddings. ICETCI, IEEE, 2023.
Gupta, Yayati; Seth, Aaditeshwar; Sukhija, Sanatan. Network Analysis of Indian Corporate Interlocks: Patterns, Players and Sectors. ASONAM, Springer, 2024.
Gupta, Yayati; Iyengar, SRS; Saini, Jaspal Singh; Sridhar, Nidhi. Shifting behaviour of users: Towards understanding the fundamental law of social networks. arXiv preprint arXiv:1507.07838, 2015.
Dr. Yayati Gupta is an Assistant Professor in the Computer Science & Engineering Department at École Centrale School of Engineering at Mahindra University.
Assistant Professor, Indian Institute of Information Technology Dharwad (August 2019 – June 2020)
Co-Instructor (with Prof. SRS Iyengar, IIT Ropar), Joy of Computing using Python, NPTEL (Spring and Fall 2020)
Postdoctoral Researcher, Indian Institute of Technology Delhi (August 2018 – July 2019)
Senior Project Officer, National Programme on Technology Enhanced Learning (NPTEL), Indian Institute of Technology Madras (May 2018 – July 2018)
Teaching Assistant (with Prof. SRS Iyengar, IIT Ropar), Social Network Analysis, NPTEL (Fall 2017, Spring 2018)
Research Interests: Social Networks Analysis and Complex Networks.
Major Projects:
Impact of community and core-periphery structure on the propagation and virality of a meme.
Modeling the shifting behaviour of users from one Online Social Network to another.
Studying and improving Massive Open Online Courses.
Understanding the Bipartite network of Indian corporate system.
Studying Message listenership network of an interactive voice response system, Gram-Vaani.
Ongoing Research:
Intertwining of Community Structure and Core-Periphery Structure.
Identifying the core nodes in a network based on local information.
Information Diffusion on Multilayer Networks.
Spread of misinformation through echo-chambers and filter-bubbles.
Modeling the sociological impact of a social network.
International Conference Attended:
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Bengaluru, India, 2018.
IEEE Symposium Series on Computational Intelligence (IEEE-SSCI), Cape Town, South Africa, 2015.
IEEE World Congress on Computational Intelligence (WCCI), Beijing, China, 2014.
Third Annual World Conference on Soft Computing (WCSC), San Antonio, Texas, USA, 2013.
International Conference on Soft Computing and Problem Solving (SocPros), IIT Roorkee, 2011.
International Conference on Recent Trends in Information Technology (ICRTIT), Anna University, Chennai, 2011.
Invited Speaker
Social Computing Course, IIT Ropar (February 2020).
Workshop on Graphs and Complex Networks 2020 (WGCN-2020), Cochin University of Science and Technology (CUSAT), Kochi, Kerala (February 2020).
Workshop on Social Network Analysis, The NorthCap University, Gurugram (October 2019).
Workshop on Social Media and Data Analytics, TEQIP-III, Aligarh Muslim University (March 2019).
Conferences/Workshops/Symposiums Organized
Research Methodology Workshop, IIT Ropar (2013).
Networks and Games (NAG) Workshop, IIT Ropar (2015).
Summer School on Social Networks, IIT Ropar (2017).
Reviewer
Journal of Computational Science
Social Network Analysis and Mining
GeoInformatica
Dr. Ankita Jain is an Assistant Professor in the Electrical and Electronics Engineering Department at Mahindra École Centrale College of Engineering. She received Ph.D. in the Discipline of Electrical Engineering from Indian Institute of Technology Indore, Indore, India in 2019. Prior to joining MU, she worked for Intel Microelectronics, Penang, Malaysia for a year. Her research interests are in the area of Image Processing, Biometrics, Digital Signal Processing, and Pattern Recognition.
Ph.D. degree in the Discipline of Electrical Engineering from Indian Institute of Technology Indore, Indore, India. Title“Human behavior analysis using smartphone sensor data” Supervisor: Dr. Vivek Kanhangad
Master of Technology degree in VLSI Design from ABV-Indian Institute of Information Technology and Management, Gwalior, India. Title: “Reduction of subthreshold leakage power in nanometer regime: A reference to CMOS device”
Bachelor of Engineering in Electronics & Communication Engineering from Institute of Technology and Management, Gwalior, India
Journals
A. Jain and V. Kanhangad, “Gender Recognition in Smartphones using Touchscreen Gestures,” Pattern Recognition Letters, vol. 125, pp. 604-611, 2019.
A. Jain and V. Kanhangad, “Human activity classification in smartphones using accelerometer and gyroscope sensors,” IEEE Sensors Journal, vol. 18, no. 3, pp. 1169-1177, 2018.
A. Jain and V. Kanhangad, “Gender classification in smartphones using gait information,” Expert Systems with Applications, vol. 93, pp. 257-266.
A. Jain and V. Kanhangad, “Exploring orientation and accelerometer sensor data for personal authentication in smartphones using touchscreen gestures,” Pattern Recognition Letters, vol. 68, no. 2, pp. 351-360.
A. Sisodhiya, A. Jain, R. M. Banakar, “Face Recognition using Depth Map Generation for Smart phones,” International Journal of Advanced Computer Research, vol. 3, no. 3, pp.
Conference Proceedings
A. Jain and V. Kanhangad, “Human Activity Classification in Smartphones using Shape Descriptors,” 24th National Conference on Communications (NCC).
A. Jain and V. Kanhangad, “Investigating Gender Recognition in Smartphones using Accelerometer and Gyroscope Sensor Readings,” IEEE International Conference on Computational Techniques in Information and Communication Technologies, pp. 597-602.
A. Jain, K. Kutty and S. Yerva, “GMM based approach for human face verification using relative depth features,” International Conference on Advances in Computing, Communications and Informatics (ICACCI), Mysore, pp. 675-680.
R. K. Behera, P. Kharade, S. Yerva, P. Dhane, A. Jain and K. Kutty, “Multi-camera based surveillance system,” World Congress on Information and Communication Technologies, Trivandrum, pp. 102-108.
P. Dhane, A. Jain and K. K. Kutty, “A new algorithm for 3D object representation and its application for human face verification,” International Conference on Image Information Processing, Shimla, pp. 1-6.
K. K. Jha, A. Jain, M. Pattanaik and A. Srivastava, “Performance Analysis of NMOS for Higher Speed and Low Power Applications,” 5th International Conference on Future Information Technology, Busan, pp. 1-3.
Assistant Professor, Department of Electrical and Electronics Engineering, Mahindra École Centrale College of Engineering, Mahindra University.
Faculty Advisor, IEEE Women in Engineering (WIE) Student Branch Affinity Group, Mahindra University.
Faculty Advisor, Department Newsletter, Mahindra University.
Firmware Validation Engineer, Intel Microelectronics, Penang, Malaysia (April 2019 – February 2020).
Junior Scientist, Research and Development Department, KPIT Technologies Limited (January 2013 – November 2013).
Senior Research Associate, Research and Development Department, KPIT Technologies Limited (May 2010 – December 2012).
Areas of interest:
Digital Signal and Image Processing
Biometrics
Pattern Recognition
Digital Image Processing and Computer Vision
Artificial intelligence
Professional Services:
Organized TecXpedition 2013 (technical paper conference) at KPIT Technologies Ltd.
Reviewer of International Journals:
IEEE Journal of Biomedical and Health Informatics
Pattern Recognition Letters
IEEE Sensors Journal
IEEE Access
Dr. Deepti Avirneni is currently working as Associate Professor, in the department of Civil engineering, Mahindra University, Hyderabad. Her expertise and research interests are in the area of sustainable pavement materials, and pavement design. She has graduated from Acharya Nagarjuna University in 2006 and earned her masters from Indian Institute of Technology, Roorkee in 2008. She was awarded doctorate from Indian Institute of Technology, Hyderabad. Prior to joining Mahindra Ecole Centrale Hyderabad in 2017, she worked as Associate Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, during 2016-2017.
2016 Jun: Ph.D. in Civil Engineering,Indian Institute of Technology, Hyderabad, India.
2008 Jun: M.Tech in Transportation Engineering, Indian Institute of Technology, Roorkee, India.
2006 Jun: B.Tech. SVH College of Engineering, Acharya Nagarjuna University, Machilipatnam, India.
2006 Jun: Sri Chaitanya Mahila Kalasala, Vijayawada, India.
Book Chapters
Saride S., Umashankar B., Avirneni D. (eds) Advances in Geotechnical and Transportation Engineering. Lecture Notes in Civil Engineering, vol 71. (2020) Springer, Singapore. Print ISBN 978-981-15-3661-8, Online ISBN 978-981-15-3662-5
Sireesh, S., Deepti, A. (2019). Development of fly ash stabilized recycled base material for Indian highways, Geotechnical design & practice, 137-147.
Sireesh, S., Deepti, A. (2017). Strength characteristics of geopolymer fly ash stabilized reclaimed asphalt pavement base courses, Geoenvironmental practices & sustainability, 267-275.
S., Anu, M. George., Deepti, A., Munwar Bhasha. (2016). Sustainable design of India rural roads with reclaimed asphalt pavements, Sustainable issues in civil engineering, 73-90.
International Journals
Lakshmi Thotakura, Ganesh Babu Kodeboyina and Deepti Avirneni, “Efficacy of Silica Fume in Non-Proprietary Ultra-High Performance Sustainable Cementitious Compositions”, International Journal of Civil Engineering, Springer. (Paper under review) – SCI Indexed
Harish Gangaraju, Keerthi Chandramalla, Deepti Avirneni “Effect of Plastic Fibers and Aggregate Gradation on the Mechanical and Hydraulic Properties of Porous Concrete” Journal of Traffic and Transportation Engineering. (under review).
Ganesh Babu Kodeboyina, Lakshmi Thotakura and Deepti Avirneni, “Material Sustainability Rating of Ultra High Performance Concrete Composites”, Advances in concrete Construction, Techno Press. (Paper under review) – SCI Indexed
Sireesh, S., Deepti, A., & Subrahmanyam, Ch. (2016). Micro-mechanical interaction of activated fly ash mortar and reclaimed asphalt pavement materials, Construction and Building Materials, (123), 424–435
Deepti, A., Pranav, P.R.T., & Sireesh, S. (2016). Durability and long-term performance of geopolymer stabilized reclaimed asphalt pavement base courses, Construction and Building Materials (121), 198–209
Sireesh, S., Deepti, A., Sarath Chandra Prasad, J. (2015). Utilization of reclaimed asphalt pavements in indian low volume roads, Journal of Materials in Civil Engineering, ASCE (28), Issue 2, 10.1061/(ASCE)MT.1943-5533.0001374, 04015107.
Sireesh, S., Deepti, A., Sarath Chandra Prasad, J., Puppala Anand, & Hoyos L.R (2015). Evaluation of fly-ash-treated reclaimed asphalt pavement for base/sub-base application, Indian Geotechnical Journal, (45), Issue 4, 401- 411.
Special Publications (International)
Avirneni, D., Bondada Ch., A.K., Bommu, S.R. (2023). Investigating Mechanical and Hydraulic Properties of Porous Concrete Pavements. In: Rastogi, R., Bharath, G., Singh, D. (eds) Recent Trends in Transportation Infrastructure, Volume 1. TIPCE 2022. Lecture Notes in Civil Engineering, vol 354. Springer, Singapore. https://doi.org/10.1007/978-981-99-3142-2_16
Ganesh Babu Kodeboyina, Lakshmi Thotakura, Deepti Avirneni, and Chandrasekhar Bhojaraju. (2023) “Ultra-high Performance Concrete as a Sustainable Structural Composite.” In IOP Conference Series: Earth and Environmental Science, vol. 1149, no. 1, p. 012002. IOP Publishing, 2023.IOP Publishing. 10.1088/1755-1315/1149/1/012002
Lakshmi Thotakura, Ganesh Babu Kodeboyina, Deepti Avirneni and Sankar Kumar Reddy Pullalacheruvu (2022), “Sustainability of Infrastructure – The Need for A Reassessment”, The 1st International Online Conference on Infrastructures, IOCC, MDPI. (Proof checking was done and will be available online very soon)
Saladi S. V. Subbarao, A. Deepti, H. Amit, A. Akshay, and S. K. Charan (2022), Emission Modelling of Passenger Cars in India: A Case of Hyderabad City, Lecture Notes in Civil Engineering, Proc. of the Fifth International Conference of Transportation Research Group of India, 5th CTRG, Vol 3
Deepti, A., and Sireesh, S., (2015). durability studies on fly ash stabilized reclaimed asphalt pavement materials, Geochicago.
Sireesh, S., Deepti, A., Someswar Rao, T., Sarath Chandra Prasad, J., and Dayakar babu, R. (2014). Evaluation of fly-ash-treated reclaimed asphalt pavement for design of sustainable pavement bases – An Indian perspective, Geo Congress 2014, Atlanta, USA, GSP 234:3676-3685.
International Conference
Deepti, A., (2019). “Mechanical behavior of ferro-fibrocrete pavements”, Proc., of 15th World Conference on Transportation Research (WCTR), 26-31 May 2019, Mumbai
Ramesh, A., and Deepti, A. (2010). Analysis and development of road accident models for Hyderabad metropolitan city in India, Recent Issues and Solution Methodologies in Transportation Engineering and Planning, Srinagar, India.
National Conference
Subbarao, SSV., Deepti, A., Akshay, A., Amit, H. and Charan, SK. (2019) “Emission modeling of Passenger cars in India: A case of Hyderabad city”, Proc., of 5th Conference of Transportation Research Group of India (CTRG – 2019), 18-21 December 2019, Bhopal
Deepti A, Pranav P. R. T and Sireesh S (2017) Correlations to Predict Resilient Modulus of Stabilised Reclaimed Asphalt Pavement Materials, Indian Geotechnical Conference-2017, Guwahati, India.
Deepti A (2016) Application of Geopolymer Fly ash Stabilized Reclaimed Asphalt Pavement Material in Pavement Base Courses, VNRVJIET, Hyderabad, India.
Deepti A and Sireesh S (2016) Reclaimed Asphalt Pavement Materials In Indian Rural Roads, FPMGSY, IIT Roorkee, India.
Deepti A, Pranav P. R. T and Sireesh S (2015) Durability of Fly ash Treated Reclaimed Asphalt Pavement Materials, Indian Geotechnical Conference-2015, Pune, India.
Sireesh S, and Deepti A (2014) Reclaimed Asphalt Pavements in Flexible Pavement Applications, Indian Geotechnical Conference-2014, Kakinada, India.
Deepti A and Sireesh S (2012) Micro-mechanical behaviour of reclaimed asphalt pavements – A review, Proceedings of 1st young geotechnical conference of AP, India.
Kumar Praveen, Deepti A and Gupta Ankit, Effect of Various Parameters over Cost of Rural Roads, National Conference on Infrastructure Development in Civil Engineering (IDCE-2008), Hamirpur, May 16-17, 2008.
Patents
Patent Application Number: 20241074645 (Published on January 10, 2025) Title: Engineered Super High Strength High Performance Sustainable Cementitious Composites
Sustainable Pavement Materials: Including the utilization of reclaimed asphalt pavements (RAP) and fly ash for base courses in roads, particularly in low-volume roads, Porous Asphalt Pavements, Emission Measurement & Mitigation Technologies
We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.
