S.No	NAME	Year	Semister	Achievement	Affliated body
1	Kalidindi Pavan Teja Satya Varma	III	II	Selected for summer internship followed by Direct Ph.D. program at IIT Madras	Indian Institute of Technology Madras
2	Abhijath Ande, Vishnu Nair, Ashlan Ahmed	III	I	Conference Paper Accepted	IEEE TENSYMP 2021
3	Vaddeti Ankitha, Deepthi Vidiyala,Vineetha Puritipati	III	I	Journal Paper Published	Security and Privacy, Wiley
4	Shabaz Shaikh	III	I	Machine Learning projects minor and major	Coursera and Verzeo
5	Masabathula V S Raghavendra Rao	III	I	DataScience Intern	Exposys Data Labs
6	Challa Lahari	III	I	Co-authored book chapter	Elsiever Publishers
7	Challa Lahari	III	I	Co-authored book chapter	Taylor and Francis Publishers
8	Challa Lahari	III	I	Selected as a part of 15-member delegation to represent India at VII BRICS Youth summit	BRICS Youth summit
9	Prem Sai Padarthi	IV	I	Got All India GATE Rank 6148	GATE-2021
10	Dasari Hema Santhosh Kumar	IV	I	Cleared CAT exam with 96.43%	CAT-2021
11	Bashar Jaan Khan	IV	I	Got GRE Rank 335	GRE-2021
12	Ketan Bansal	IV	I	MLOps Researcher	SkyLark Labs
13	Mehant K	IV	I	Got a score of 100 out of 200 in TOEFL	TOEFL-2021
14	Aman Yadav	II	I	I have founded an e-commerce website name allyours24.in, Mr. Fresher, created apps and websites for my clients	None
15	Yaramala RamyaSree	II	I	1. "TCS certificate for soft skills Carrer edge -knockdown the lockdown" 2. Secured gold badges from hacker rank for C++, python and python basic test certificate from hacker rank	TCS Hackers Rank
16	HITESH REDDY	II	I	Artificial Intelligence Internship in Verzeo	Verzeo
17	Anchula Lalithaditya	II	I	1."TCS certificate for soft skills Carrer edge -knockdown the lockdown" 2. Secured gold badges from hacker rank for C++, python and python basic test certificate from hacker rank.	TCS Hackers Rank
18	Talakola Sashank	II	I	Machine learning –Stanford university (july 20)	Stanford University
19	Mehant Kommakomati	II	II	1.Smart India Hackathon-2020 finalist (First time to represent NIT Andhra Pradesh at Grand Finale). 2.Google Summer of code 2020 student (Received a stipend of $3000 and one of the 1200 students globally). 3.GNOME CE Challenge P1 Winner (Received a cash prize of $1000 and one of the 20 winners Globally). 4.Merge URL Research Paper (Paper Published in IJCSMC-Impact factor-1.5). 5.Internship at Dexterity Global and Brand Samosa.	Govt of India Google GNOME Foundation International Journal of Computer Science and Mobile Computing Dexterity Global and Brand Samosa
20	Ketan Bansal	II	II	AI Researcher at Skylark labs: Working on Detection using Computer vision and Deep learning technologies to identify suspicious events in aerial videos capturing using AI enabled drones.	Skylark labs
21	Jaya Amit Sai Gurrala	IV	II	Got GRE Score 317	GRE 2020
22	Harshitha Reddy Kalakotla	IV	II	Got GRE Score 314	GRE 2020
23	Gayathri VLP	IV	II	Got GRE Score 324	GRE 2020
24	D Akhila Aparna	IV	II	Got GRE Score 323	GRE 2020
25	Kaz Phani Rohitha	IV	II	Got GRE Score 309	GRE 2020
26	Muttineni Sreeram	IV	II	Got All India GATE Rank 7326	GATE 2020
27	Thotadi Chaitanya Teja	IV	II	Got All India GATE Rank 6046	GATE 2020
28	Aparacheruvu Prathyusha	IV	II	Got All India GATE Rank 5381	GATE 2020
29	Abhiroop Mokshagna	IV	II	Got All India GATE Rank 5216	GATE 2020
30	G Yachandra Phani Kumar	IV	II	Got All India GATE Rank 5216	GATE 2020
31	Bodduboina Pavan Kalyan	IV	II	Got All India GATE Rank3285	GATE 2020
32	K Saiteja	IV	II	Got All India GATE Rank 884	GATE 2020
33	Vishnu Nagineni	IV	II	Got All India GATE Rank 3085	GATE 2020
34	Karuturi Ramya Sri	IV	II	Got All India GATE Rank 5860	GATE 2020
35	Harshitha Reddy Kalakotla	IV	II	1. Arizona State University, Ira A. Fulton Schools of Engineering - Masters in Computer Science. 2. Texas A&M University, Dept. of Computer Science and Engineering at Texas A&M University - Masters in Computer Science. 3. University of Florida - Masters in Computer sciences and Engineering at the University of Florida. 4. University at Buffalo, North Campus, Buffalo - Masters in Computer Science
36	Saladi Venkata Sasi Bhushan	III	II	Selected for summer internship followed by Direct Ph.D. program at IIT Madras	IIT Madras
37	Gunda Sriharini & Paidipati Krishna Koudinya	III	I	Awarded scholarships by the Swami Dayanand Educational Foundation, located in Noida-201301, India.

1. Title of the Project : Leveraging Quantum Computing for efficient learning and inference in probabilistic graphical models
   PI : Dr. Karthick Seshadri, Co-Investigators: Dr. Nagesh Bhattu S and Dr. Himabindu K
   Granting Agency : MEITY, Govt. of India
   Year and Tenure : March 2022, Three years


2. Title of the Project : Design and Evaluation of a Deep Neural Network Framework for Inferring and Ranking Causes for Sentiments in Product Reviews.
   PI : Dr. Karthick Seshadri
   Granting Agency : AI and Robotics Research Park, IISc Bangalore,
   Year and Tenure : Started in September 2021


3. Title of the Project : Intelligent Banking Kiosk
   PI : Dr. Nagesh Bhattu S and Dr. Karthick S
   Granting Agency : IDRBT
   Amount : Rs. 32 Lakhs
   Year and Tenure : 2 years (June 2021 to May 2023)


4. Title of the Project : Aspect oriented sentiment analysis
   PI : Dr. Karthick Seshadri
   Granting Agency : Enixta R&D, Hyderabad
   Amount : Rs. 5 Lakhs
   Year and Tenure : Completed in Jan 2020


5. Title of the Project : A Scalable Resource Requirement Prediction and Provisioning Framework for Elastic Cloud.
   PI : Dr. Karthick Seshadri
   Granting Agency : LinkedIn R&D
   Amount : Rs. 10 Lakhs
   Year and Tenure : August 2020


6. Title of the Project : Parallel and Distributed Attribute Reduction of Large Data Sets based on Rough Set Theory and Evolutionary Algorithms.
   PI : Dr. Srilatha Chebrolu
   Granting Agency : SERB Project No.: EEQ/2019/00470
   Amount : Rs 27,05,220
   Year and Tenure : 3 years


7. Title of the Project : Machine Translation for European Languages
   PI : Dr. Karthick Seshadri
   Granting Agency : Enixta R&D
   Year and Tenure : October 2020

International Journals

1. Sindhu, K., Seshadri Karthick & Kollengode, C. Workload characterization and synthesis for cloud using generative stochastic processes. Journal of Supercomputing, Springer (2022) (https://doi.org/10.1007/s11227-022-04597-y)


2. Jegan Ramakrishnan, Tingting Liu, Rongrong Yu, Karthick Seshadri, Zhonghua Gou, towards greener airports: Development of an assessment framework by leveraging sustainability reports and rating tools, Environmental Impact Assessment Review, Elsevier, Volume 93, 2022, 106740, ISSN 0195-9255 (https://doi.org/10.1016/j.eiar.2022.106740).


3. SK Nunna, SN Bhattu, D Somayajulu, NV Kumar Structure-sensitive graph-based multiple-instance semi-supervised learning - Sādhanā, Vol. 46, No. 3, Springer India 2021.


4. Karthick Seshadri, Aswin M, Mukunthapriya SR, “A scalable parallel algorithm for building web directories, Concurrency and Computation”, Vol. 33, No. 9, May 2021.


5. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, K Hima Bindu, "Abusive Language Detection using Customized BERT".


6. K. Hima Bindu, J. Swarm Intelligence, Special Issue: PCCDS 2020 Building Intelligent Applications Using Machine Learning, Inderscience Publishers.


7. Kiran Babu Nelatoori, K. Hima Bindu,” Attention-based Bi-LSTM Network for Abusive Language Detection” IETE Journal of Research - Manuscript ID TIJR-2021-0911.


8. Vaddeti Ankitha, Deepthi Vidiyala, Vineetha Puritipati, Raveendra Babu Ponnuru, Ji Sun Shin, and Goutham Reddy Alavalapati*. "Graphical passwords: Behind the attainment of goals." Security and Privacy 3, no. 6 (2020): e125.


9. R. Nagarathna, Karthick Seshadri et. al, Deep Learning-based Framework for Smart Sustainable Cities: A Case-study in Protection from Air Pollution, Journal of Intelligent Information Technologies, Vol 15, No. 4, DOI: 10.4018/IJIIT.2019100105, 2019.


10. Karthick Seshadri, Viswanathan Iyer K, Mercy Shalinie S, Design and evaluation of a parallel document clustering algorithm based on hierarchical latent semantic analysis, Wiley, International Journal of Concurrency and Computation: Practice and Experience, July 2019, https://doi.org/10.1002/cpe.5094.


11. Karthick S, Alagappan M, Mukunthapriya SR, A scalable parallel algorithm for building web directories, Wiley’s Concurrency and Computation, 2020. (in the pipeline to be published).


12. Kaza Phani Rohitha, Burre Chandu, Nampally Nihal, and K Hima Bindu, “Abusive or offensive Language Detection using fine-tuned BERT and XLNet”, pages 12, PCCDS2020 paper id 132, NIT Kurukshetra, 01-03 May 2020.


13. S Nagesh Bhattu, A Potluri, P Kadari, RBV Subramanyam Generalized communication cost efficient multi-way spatial join: revisiting the curse of the last reducer, GeoInformatica, 1-33.


14. S Nagesh Bhattu, Satya Krishna Nunna, DVLN Somayajulu, Binay Pradhan ,Improving Code-mixed POS Tagging Using Code-mixed Embeddings TALLIP.


15. Avinash Potluri, S Nagesh Bhattu, NV Narendra Kumar, RBV Subramanyam An Empirical Study on the Significance of Node Ordering for Computing Cliques using Map Reduce, Solid State Technology.


16. Vaddeti, Ankitha, Deepthi Vidiyala, Vineetha Puritipati, Raveendra Babu Ponnuru, Ji Sun Shin, and Goutham Reddy Alavalapati. "Graphical passwords: Behind the attainment of goals." Security and Privacy: e125.


17. Nkenyereye, Lionel, Lewis Nkenyereye, Bayu Adhi Tama, Alavalapati Goutham Reddy, and JaeSeung Song. "Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration." Sensors 20, no. 4 (2020): 1092.


18. Karthick Seshadri, Raja Subramanian, Design and Evaluation of a Hybrid Hierarchical Feature Tree Based Authorship Inference Technique, Advances in Data and Information Sciences, Springer-Singapore, pp. 89-104, December 2018, DOI: 10.1007/978-981-13-0277-0_8.


19. S. Mercy Shalinie, Sidharth Manohar, S Karthick, A Distributed Parallel Algorithm For Inferring Hierarchical Groups From Large-Scale Text Corpuses, Wiley-Concurrency and Computation: Practice and Experience, June 2018.


20. GJ Krishna, R Vadlamani, S Nagesh Bhattu, Key Generation for Plain Text in Stream Cipher via Bi-Objective Evolutionary Computing in Applied Soft Computing, 2018


21. Nazish, Imran Ahmed, Mahreen Kiran, Hamoodur Rehman, Sadia Din, Anand Paul, and Alavalapati Goutham Reddy. "Automatic segmentation of liver & lesion detection using H-minima transform and connecting component labeling." Multimedia Tools and Applications 79, no. 13 (2020): 8459-8481. March, 2019.


22. Kiran, Imran Ahmed, Nazish Khan, Hamood ur Rehman, Sadia Din, Anand Paul, and Alavalapati Goutham Reddy. "Comparative analysis of segmentation techniques based on chest X-ray images." Multimedia Tools and Applications 79, no. 13 (2020): 8483-8518. March, 2019.


23. Kiran, Imran Ahmed, Nazish Khan, and Alavalapati Goutham Reddy. "Chest X-ray segmentation using Sauvola thresholding and Gaussian derivatives responses." Journal of Ambient Intelligence and Humanized Computing 10, no. 10 (2019): 4179-4195. April, 2019.

National Journals

1. S. Nagesh Battu, T. Kurmayya and V. Sandeep “Salient Features and Exit Policies of NEP 2020: A Case Study”, National Conclave on Strategies for Implementation of National Education Policy in NITs, 29 – 30 October 2021.
   

International Conferences

1. Rajan S, Karthick Seshadri, B Ravindran, Representation Learning using Graph Neural Nets: A case-study in HMMs, Graph Embedding Track, European Conference on Machine Learning, 2021.


2. Sastry Yadavilli VRPS, Karthick Seshadri, A framework for predicting item ratings based on Aspect level Sentiment Analysis, International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2021, Noida, India.


3. K. Iyer, Karthick S , Adoption of Virtual Laboratories for Computer Science: Deterrents, Enablers and Modalities, 13th annual International Conference on Education and New Learning Technologies, July 2021, Spain.


4. K. Sindhu and Karthick S, Dimensionality Prediction for Word Embeddings, International Conference on Applications of AI in Engineering, Algorithms for Intelligent Systems, Springer, 2021, India.


5. Sastry Y, Karthick S, A framework for predicting item ratings based on Aspect level Sentiment Analysis, International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2021, Noida, India.


6. Sri Harshini Vissamsetti, Sai Santhoshi Pravallika Kalyanapu, Shiva Charan Naik Jadhav and Himabindu K “Offensiveness Detection in Hinglish Code-Switched Language” Conference: ICC3 2021 (5th International Conference on Computational Intelligence, Cyber security, Computational models)


7. Abhijath, Vishnu, Ashlan, Alavalapati Goutham Reddy, and Hyun Sung Kim*, “Smart Authentication based on Modified Merkle Puzzles.” IEEE TENSYMP 2021, South Korea.


8. Raja S, Karthick S, Randomized Gossip Algorithm based RSU Distribution for VANETs leveraging Fog Computing, IEEE International conference on Clean energy and Energy efficient electronics circuit for Sustainable development, KLU Tamilnadu, Dec 2019. DOI: 10.1109/INCCES47820.2019.9167694.


9. Convex vs Convex-Concave Objective for Rare Label Classification accepted in MIKE 2019, authored by Nagesh Bhattu Sristy, Satya Krishna N, Somayajulu D. V. L. N. and V. Narendra Kumar N


10. Skew Aware Partitioning Techniques for Multi-Way Spatial Join accepted in MIKE 2019, authored by Prashanth Kadari, Avinash Potluri, Nagesh Bhattu Sristy and Subramanyam R. B. V


11. IDRBT-team-a@ IECSIL-FIRE-2018 Named Entity Recognition of Indian Languages using bi-LSTM. S Nagesh Bhattu, NS Krishna, DVLN Somayajulu FIRE (Working Notes), 158-165


12. Design Strategies for Handling Data Skew in MapReduce Framework A Potluri, SN Bhattu, NVN Kumar, RBV Subramanyam International Conference on Inventive Computation Technologies, 240-247


13. idrbt-team-a@ IECSIL-FIRE-2018: Relation Categorization for Social Media News Text. NS Krishna, S Nagesh Bhattu, DVLN Somayajulu FIRE (Working Notes), 166-173

Book Chapters and Books

1. Soni, R. K., Seshadri. Karthick, Ravindran, B. (2021, November). Metric Learning for comparison of HMMs using Graph Neural Networks. In Asian Conference on Machine Learning, Singapore (pp. 1365-1380). Proceedings of Machine Learning Research.


2. Seshadri K., Pavana, C., Sindhu, K., Kollengode, C. (2022). Unsupervised Modeling of Workloads as an Enabler for Supervised Ensemble-based Prediction of Resource Demands on a Cloud. In Advances in Data Computing, Communication and Security (pp. 109-120). Springer, Singapore.


3. K.V. Iyer and Karthick Seshadri, Adoption of Virtual Laboratories for Computer Science: Deterrents, Enablers and Modalities, Published in Proceedings 13th International Conference on Education and New Learning Technologies, (EDULEARN21), IATED Valencia Spain, 5-6 July, 2021, pp.97-102. [isbn = 978-84- 09-31267-2, doi = 10.21125/edulearn.2021.0041].


4. Soni, R. K., Seshadri. Karthick, Ravindran, B. (2021, September), Representation Learning using Graph Neural Nets: A Case-study in HMMs, In Graph Embedding Track of the European Conference on Machine Learning, Spain.


5. S. Ghosh, Karthick Seshadri, A deep neural model to identify rationale behind sentiments in product reviews, International Conference on Applied Computational Intelligence and Analytics, NIT Raipur, Feb 2022.


6. KiranBabu Nelatoori, K. Hima Bindu, “Evaluation of Word Embeddings for Toxic Span Prediction”, ICTMSA- 2021 International Conference on Technology Management and Societal Applications, Oct 2021.


7. Sri Harshini Vissamsetti, Sai Santhoshi Pravallika Kalyanapu, Shiva Charan Naik Jadhav and Himabindu K, “Offensiveness Detection in Hinglish Code-Switched Language”, ICC3 2021, 5th International Conference on Computational Intelligence, Cyber security, Computational models, Dec 2021.


8. V K Hanuman Turaga and Srilatha Chebrolu, “Parallel Computation of Probabilistic Rough Set Approximations”, International Conference on Computational Intelligence, IIIT Pune and Soft Computing Research Society, India, December 2021


9. Jhansi Lakshmi Durga Nunna, V K Hanuman Turaga and Srilatha Chebrolu, “Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles”, 2nd International Conference on Machine Learning and Big Data Analytics, IIT Patna, 2022


10. Manikiran Reddy Kommidi, Anudeep Sai Chinta, Tarun Kumar Dachepally and Srilatha Chebrolu, “Identification and Localization of COVID-19 Abnormalities on Chest Radiographs using Ensembled Deep Neural Networks”, 1st International Conference on the Paradigm shifts in Communication, Embedded Systems,Machine Learning and Signal Processing, VNIT Nagpur, May 2022.


11. Jatin Singh, Govind Prasad Lakhotia, Aerva Shiva and Srilatha Chebrolu, “Brain Tumor Prediction from MRI Images using an ensemble model based on EfficientNet-B2, B4, and ResNet34 architectures”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022.


12. Satya Vandana Nallam, Neha Raj, Madhuri Velpula and Srilatha Chebrolu, “Localization and classification of thoracic abnormalities from chest radiographs using deep ensemble model”, 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, NIT Mizoram, June, 2022.


13. Hrishikesh Kumar, Sanjay Velu, Are Lokesh, Kuruguntla Suman, and Srilatha Chebrolu, “Cassava Leaf Disease detection using Ensembling of EfficientNet, SEResNeXt, ViT, DeIT and MobileNetV3 models”, International Conference on Paradigms of Communication, Computing and Data Sciences, MNIT Jaipur, July 2022.


14. YRPS Sastry, Karthick Seshadri, “A Survey on Aspect Extraction Approaches for Sentiment Analysis”, IGI, 2021


15. NB Sristy, P Kadari, H Yadamreddy, Query optimization Parallel hierarchical clustering of big text corpora - Handbook of Big Data Analytics: Applications in Ict, Security and Business Analytics, 2021.


16. K. Sindhu, Karthick S, Book chapter on “Text Summarization: A Technical Overview and Research Perspectives”, to be published in the Handbook of Intelligent Computing and Optimization for Sustainable Development, Scrivener Publishing, 2021. (Accepted).


17. Sastry Y, Karthick S, “A Survey on Aspect Extraction Approaches for Sentiment Analysis”, Handbook of Research on Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance, IGI Global, 2021. (Accepted).


18. Upendar Rao, Karthick S, "Word Embedding Techniques for Sentiment Analyzers - A Review”, New Opportunities for Sentiment Analysis and Information Processing, IGI Global, 2021. (Accepted).


19. Title: "Coefficient of Variation for Machine Learning Applications" Authors: K Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao Publisher: CRC Press ISBN-10: 0367273284, ISBN-13: 978-0367273286, January 26, 2020, 120 pages


20. Nagarathna Ravi, Karthick S, et al. Book Chapter on Leveraging Social Networks for Smart Cities: A Case-Study in Mitigation of Air Pollution, Book Series: Communications in Computer and Information Science 808, Springer, pp. 179–193, 2018.