Dr. Priyanka Kumar is currently an Assistant Professor in the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Coimbatore, India. She has been with Amrita Vishwa Vidyapeetham since 2016. She received her Ph.D. from the Indian Institute of Technology Hyderabad (IIT Hyderabad). She has many distinguished academic records to her credit including a Gold Medal in M.Tech in Computer Science from SRM University, Chennai, and a Gold Medal in M.Sc. Electronics from B.R.A. Bihar University. She also holds an MCA degree from IGNOU.
Dr. Kumar is working in the research areas of Blockchain Technology, Distributed Machine Learning Algorithms and Artificial Intelligence, Game-Theoretic Approaches to Distributed Computing, Blockchain in Supply chains and Predictive Analytics. She was awarded as the “Most Promising PhD Researcher” in ICDCN 2013, TIFR, Mumbai, India. She was awarded “TCS scholarship” from TCS under “Research Scholar Program” for the 9th Cycle and 6th Cycle, High Valued PhD Fellowship Award at IIT Hyderabad and IIT Patna. She was awarded as a ‘Young Woman in Engineering’ in Computer Science and Engineering of the 4th Venus International Women Awards - VIWA 2019. She has been recently awarded the “Certificate of Appreciation – Amrita Innovation & Research Awards (AIRA) 2021” for her recent publications.
She has published many papers in peer-reviewed international journals and conferences proceedings. She has guided several Ph.D., Masters, and Undergraduate students. She has successfully carried out industry projects and academia. She serves as a reviewer for several reputed international conferences.
Research Interests
- Blockchain Technology, Distributed Machine Learning Algorithms and Artificial Intelligence, Game-Theoretic Approaches to Distributed Computing, Blockchain in Supply chains and Predictive Analytics.
- Parallel and Distributed Systems: Software Transactional Memory.
Research Projects
- “On Increasing Concurrency in Transactional Memory Systems”, with Sathya Peri between January 2013 – June 2014, Sponsored by NetApp Bangalore for USD 25,000 ( Rs. 12.5 Lakhs).
Fellowships & Awards
- Awarded “Certificate of Appreciation – Amrita Innovation & Research Awards (AIRA) 2021”, bestowed upon recent publication, Amrita Vishwa Vidyapeetham, India.
- Awarded "Young Woman in Engineering" (Major Area of Study - Computer Science and Engineering) of the 4th Venus International Women Awards - VIWA 2019 on March 2, 2019, at Radha Regent, Chennai, India during the 4th Annual Women's Meet (AWM 2019).
- Awarded “TCS Scholarship” from TCS under “Research Scholar Program” for the 9th cycle in 2014 at IIT Hyderabad.
- Awarded as “Most Promising PhD Researcher” in PhD Forum of ICDCN 2013, TIFR, Mumbai, India.
- Awarded “High Value PhD Fellowship 2013” by Indian Institute of Technology (IIT) Patna in 2013.
- Awarded “TCS scholarship” from TCS under “Research Scholar Program” for the 6th cycle in 2013 at IIT Patna.
- “Gold Medalist” in M.Tech. in Database Systems in 2010.
- Awarded the “First Position” in the event “The Apprentice” at Aaruush ’09, a National Level Tech Fest organized by SRM University, Kattankulathur, Chennai, Tamilnadu, India.
- “Gold Medalist” in M. Sc. Electronics in 2007.
Conferences Reviewer/PC Member
- Program Committee reviewer for Industry Symposium at ICDCIT 2021.
- Reviewer of ICEEE 2021.
- Reviewer of GUCON 2021
- Reviewer of ICCCA 2020
- Sub Reviewer of SRDS 2013
Publications
| Year of Publication | Title |
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2021 |
Kiran S. Raj and Dr. Priyanka Kumar, “To predict the Social impact of COVID-19 in India using Deep Learning”, in International Conference on Distributed Computing and Internet Technology (ICDCIT 2021), January 7-10, 2021, Bhubaneswar, Odisha, India, 2021. |
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2021 |
G. A. Dhanush, Divya Rathi, Harini, G., Teja, T. P. V. Kris, and Dr. Priyanka Kumar, “Develop a Scalable and Serverless Client-based Application using Agile Methodology”, in ICCET 2021, April 10-11, Chennai, India, 2021, no. 11.[Abstract] Software Development Lifecycle plays a pivotal role in developing large-scale applications with numerous features by alarge team of people in a fixed timeline. There are a variety of software development models available. One such popular model is called the Agile software development model. This is a popular framework used by a large number of companies today and has proven successful in developing small-scale to large-scale applications. In this paper, we gather the results of developing an application named course review portal that can be used to gain insights on courses available in universities. This will be beneficial for both the institution and the studentsin providing better elective choices and choosing the optimum choice respectively. The entire application runs client-side and communicates with a cloud database to fetch data. Continuous Integration and deployment are performed with Gitlab’s CI/CD tools.We further discuss the use of Scrum framework of agile methodology and present the effectiveness of the framework used and the novelty of the application built. More »» |
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2021 |
G. Varghese Sajan and Dr. Priyanka Kumar, “Forecasting and Analysis of Train Delays andImpact of Weather Data using Machine Learning”, in ICCCNT 2021 (Accepted), July 6-8, IIT Kharagpur, India, 2021. |
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2021 |
K. S. Raj and Dr. Priyanka Kumar, “To Analyse the impact of water scarcity in developing countries using Machine Learning”, in 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), June 25 - 26, 2021, National Institute of Technology (NIT) Mizoram, India, 2021. |
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2021 |
G. Sai Vennela and Dr. Priyanka Kumar, “Unsupervised Domain Adaptation for the Restoration-Classification network by Discrepancy Minimization”, in ICCCNT 2021 (Accepted), July 6-8, IIT Kharagpur, India, 2021. |
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2021 |
K. S. Raj and Dr. Priyanka Kumar, “Automated Human Emotion Recognition and Analysis using Machine Learning ”, in ICCCNT 2021 (Accepted), July 6-8, IIT Kharagpur, India, 2021. |
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2021 |
K. S. Raj and Dr. Priyanka Kumar, “AI Based Segmented Anomaly Detection”, in ICCCNT 2021 (Accepted), July 6-8, IIT Kharagpur, India, 2021. |
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2021 |
K. S. Raj and Dr. Priyanka Kumar, “Automated Human Emotion Recognition and Analysis using Machine Learning”, in MLDM, 2021. |
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2021 |
Dhanush G. A., Divya Rathi, Harini G., V. Krishna Teja, and Dr. Priyanka Kumar, “Develop a Scalable and Serverless Client-based Application using Agile methodology”, in 6th International Congress on Information and Communication Technology, ICICT (under submission), 2021. |
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2021 |
D. G. A, Raj, K. S., and Dr. Priyanka Kumar, “Blockchain Aided Predictive Time Series Analysis in Supply Chain System”, in International Conference on Electrical and Electronics Engineering (ICEEE 2021), The University of Malaya, Kuala Lumpur, Malaysia, January 2-3, 2021. |
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2020 |
K. S. Raj and Dr. Priyanka Kumar, “To Analyse the impact of water scarcity in developing countries using Machine Learning”, in Department of Mathematics, College of Science and Technology, Wenzhou- Kean University, China at the Academia-Industry Consortium for Data Science (AICDS) on December 19-20, 2020. |
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2020 |
G. Sai Vennela and Dr. Priyanka Kumar, “Covid-19 Pandemic Spread as Growth Factor using Forecasting and SIR Models”, in AICTE Sponsored International E-Conference on Data Analytics, Intelligent Systems, and Information Security (ICDIIS’ 20), December 11-12, 2020. |
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2020 |
Srivatsa D., Nithin Aakash, S. Sahishnu, and Dr. Priyanka Kumar, “A Product Authentication Scheme for Supply Chain system using Smart Contract and Facial Recognition”, in AICTE Sponsored International E-Conference on Data Analytics, Intelligent Systems, and Information Security (ICDIIS’ 20), December 11-12, 2020. |
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2020 |
K. S. Raj and Dr. Priyanka Kumar, “Real-time Statistics and Visualization of the Impact of COVID-19 in India with Future Prediction using Deep Learning”, in 10th International Conference on Soft Computing for Problem Solving – SocProS 2020, December 18-20, 2020 at IIT Indore, India, 2020. |
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2020 |
Dr. Priyanka Kumar, Dhanush G. A., Srivatsa D., S. Nithin Aakash, and S. Sahisnu, “An Efficient and Novel Buyer and Seller’s Distributed Ledger Based Protocol Using Smart Contracts”, in Distributed Computing and Internet Technology, Cham, 2020.[Abstract] The emergence of Distributed Ledger systems has made us rethink things that are possible to be digitized. A lot of tedious man labour requiring systems can be converted to digital systems for various benefits. With this new technology, we have a new means to record transactions and the system inherently preserves the integrity of it. With these benefits, we could design systems that primarily deal with transactions in ease. In this paper, we have discussed the advantages of using a distributed ledger system for performing transactions and propose and implement a buyer-seller protocol for land transactions to show the advantages of using this system. More »» |
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2020 |
Dr. Priyanka Kumar and Maharshi Shah, “To Build Scalable and Portable Blockchain Application Using Docker”, in Soft Computing: Theories and Applications SoCTA 2019, December 27-29, International Journal of Computer Networks & Communications (IJCNC), Singapore, 2020.[Abstract] In modern digital era, digitalization has improved not only security but reduced time and effort to maintain all records. Nowadays, birth certificate is the only proof of age and basis of all the important document identities like Birth Certificate, Aadhar card, Pan Card, Passport, etc. So, identifying the correct birth certificate of any person is a major challenge. In this paper, we have proposed and implemented an efficient and more secure way of storing birth certificates by using Inter Planetary File System (IPFS) and most demanded “BLOCKCHAIN” technology. Further, the rising of Docker technology and Containerization as a Service (CaaS), we deployed this application inside a container using docker-compose which is used to create Multi-Container Docker application. More »» |
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2020 |
J. Shree, Kanimozhi, N. R., G. A. Dhanush, Haridas, A., Sravani, A., and Dr. Priyanka Kumar, “To Design Smart and Secure Purchasing System integrated with ERP using Block chain technology”, in 2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA), jointly organized by Aurel Vlaicu University of Arad, Romania & Galgotias University, on October 30-31, at Galgotias University Greater Noida (NCR New Delhi), 2020.[Abstract] This paper describes about smart and secure purchasing system integrated with ERP (Enterprise Resource Planning). In this modern world of technology, people like everything to be automated and instantly usable to save more time. Our IoT (Internet of Things) based asset management system, mainly concentrates on automatic self-billing application for the customers to avoid waiting in long queues and it also provides the transparency of the products throughout its supply chain using Block chain Technology. Since, this system is self-operating there could be possibilities of theft more often. So, this system is also integrated with an RFID (Radio Frequency Identification) based item tracker which will act as a security detector, in case if the customer is trying carry the product out of the shop without paying for it. More »» |
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2020 |
Nikish Kumar, Saiharsha B., Sanajy Tharagesh, and Dr. Priyanka Kumar, “An Autonomous Food wastage Control Warehouse: Distributed Ledger and Machine learning based approach”, in 11th International Conference on Computing Communication and Networking Technologies (ICCCNT 2020), July 1-3, IIT Kharagpur, India, 2020. |
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2020 |
Dhanush G. A., Divya Rathi, Harini G., V. Krishna Teja, and Dr. Priyanka Kumar, “Develop a Scalable and Serverless Client-based Application using Agile methodology”, in The 31st International Symposium on Software Reliability Engineering (ISSRE 2020) (currently under submission), 2020. |
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2020 |
Srivatsa D., Nithin Aakash, S. Sahishnu, and Dr. Priyanka Kumar, “A Product Authentication Scheme for Supply Chain system using Smart Contract and Facial Recognition”, in Congress on Intelligent Systems CIS 2020 ( currently under submission), 2020. |
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2020 |
Dhanush G. A., Kiran S. Raj, and Dr. Priyanka Kumar, “Blockchain Aided Predictive Time Series Analysis in Supply Chain System”, in International Symposium on Distributed Computing (DISC 2020) (currently under submission), 2020. |
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2018 |
Abirami K., Harini, D. N., Vaidhyesh, P. S., and Dr. Priyanka Kumar, “Analysis of Web Workload on QoS to Assist Capacity planning”, in International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB), 2018.[Abstract] Workload characterization is a well-established discipline, which finds its applications in performance evaluation of modern Internet services. With the high degree of popularity of the Internet, there is a huge variation in the intensity of workload and this opens up new challenging performance issues to be addressed. Internet Services are subject to huge variations in demand, with bursts coinciding with the times that the service has the most value. Apart from these flash crowds, sites are also subject to denial-of-service (DoS) attacks that can knock a service out of commission. The paper aims to study the effect of various workload distributions with the service architecture ‘thread-per-connection’ in use as a basis. The source model is structured as a sequence of activities with equal execution time requirement with an additional load time of page (loading embedded objects, images, etc.). The threads are allocated to the requests in the queue; leftover requests if any are denied service. The rejection rate is used as a criterion for evaluation of the performance of the system with a given capacity. The proposed model could form a basis for various system models to be integrated into the system and get its performance metrics (i.e. QoS) evaluated. More »» |
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2018 |
Dr. Priyanka Kumar and M., R., “Location based Parental control – Child Tracking App using Android Mobile Operating System”, in ICCCA’18, Galgotias University, NCR Delhi, from December 14-15, 2018, 2018. |
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2014 |
Dr. Priyanka Kumar, Peri, S., and Vidyasankar, K., “A TimeStamp Based Multi-version STM Algorithm”, in Distributed Computing and Networking, Berlin, Heidelberg, 2014.[Abstract] Software Transactional Memory Systems (STM) are a promising alternative for concurrency control in shared memory systems. Multiversion STM systems maintain multiple versions for each t-object. The advantage of storing multiple versions is that it facilitates successful execution of higher number of read operations than otherwise. Multi-Version permissiveness (mv-permissiveness) is a progress condition for multi-version STMs that states that a read-only transaction never aborts. Recently a STM system was proposed that maintains only a single version but is mv-permissive. This raises a natural question: how much concurrency can be achieved by multi-version STM. We show that fewer transactions are aborted in multi-version STMs than single-version systems. We also show that any STM system that is permissive w.r.t opacity must maintain at least as many versions as the number of live transactions. A direct implication of this result is that no single-version STM can be permissive w.r.t opacity. More »» |
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2013 |
Dr. Priyanka Kumar and Peri, S., “Multiversion Conflict Notion”, in 5th International Workshop on Theory of Transactional Memory (WTTM), , Jerusalem, Israel, 2013. |
| Year of Publication | Title |
|---|---|
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2021 |
Dhanush G. A., Divya Rathi, Harini G., V. Krishna Teja, and Dr. Priyanka Kumar, “Develop a Scalable and Serverless Client-based Application using Agile Methodology”, Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12, no. 11, 2021.[Abstract] Software Development Lifecycle plays a pivotal role in developing large-scale applications with numerous features by a large team of people in a fixed timeline. There are a variety of software development models available. One such popular model is called the Agile software development model. This is a popular framework used by a large number of companies today and has proven successful in developing small-scale to large-scale applications. In this paper, we gather the results of developing an application named course review portal that can be used to gain insights on courses available in universities. This will be beneficial for both the institution and the students in providing better elective choices and choosing the optimum choice respectively. The entire application runs client-side and communicates with a cloud database to fetch data. Continuous Integration and deployment are performed with Gitlab’s CI/CD tools. We further discuss the use of Scrum framework of agile methodology and present the effectiveness of the framework used and the novelty of the application built. More »» |
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2019 |
M. Shah and Dr. Priyanka Kumar, “Tamper proof Birth certificate using Blockchain Technology”, International Journal of Recent Technology and Engineering (IJRTE), 2019. |
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2018 |
Dr. Priyanka Kumar, S., V., and M., S., “Improving Late Scheduler and Result Analysis in Heterogeneous Environment”, International Journal of Pure and Applied Mathematics, vol. 118, pp. 2545-2551, 2018.[Abstract] The word Heterogeneity signifies diversity and Heterogeneity of Hadoop cluster exists as nodes have different configuration and they are distributed in various geographical sites. In distributed environments, homogeneity and local access of data are not full filled. Therefore, performance reduction will happen in default Hadoop schedulers where the cluster nodes are heterogeneous. Because of highly robust nature of LATE Scheduler, it can be used to improve response time in heterogeneous environment by varying the number of Mappers and Reducers for each node. In this paper we have used variable number of Reducers and Mappers to improve the performance of Hadoop heterogeneous cluster. More »» |
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2015 |
Dr. Priyanka Kumar and Peri, S., “Multiversion Conflict Notion for Transactional Memory Systems”, CoRR, vol. abs/1509.04048, 2015.[Abstract] In recent years, Software Transactional Memory systems (STMs) have garnered significant interest as an elegant alternative for addressing concurrency issues in memory. STM systems take optimistic approach. Multiple transactions are allowed to execute concurrently. On completion, each transaction is validated and if any inconsistency is observed it is aborted. Otherwise it is allowed to commit. |
Technical Reports
- “Multi-Version Conflict Notion”, Priyanka Kumar, Sathya Peri. CoRR abs/1307.8256, 2013.
- “A TimeStamp based Multi-version STM Protocol that satisfies Opacity and Multi-Version Permissiveness”, Priyanka Kumar, Sathya Peri. CoRR abs/1305.6624, 2013
- “Multiversion Conflict Notion for Transactional Memory Systems”, authored by Priyanka Kumar and Sathya Peri can be accessed here
Other Achievements
- Invited Speaker and gave seminar on “Blockchain Technology and its Application Areas” on October 26, 2020 at IIIT Bhagalpur, Bihar.
- Attended “FDP on BLOCKCHAIN” at School of Engineering, CUSAT, Kochi, sponsored by AICTE Training and Learning (ATAL) Academy from October 21-25, 2019.
- Completed ISRO-sponsored NNRMS Course on “Space Technology Applications in Governance and Development” at NRSC, ISRO, Hyderabad, India, from March 5-10, 2017.
- Presented a Technical paper in NAFED’ 2016 organised by Structural Engineering Entity, Vikram Sarabhai Space Center, ISRO, Trivandrum, Kerala, on December 12, 2016.
- Awarded 'A' Grade in Deep Dive Faculty Enablement Program on Big Data and Analytics workshop organized by Infosys, Mangalore Development Centre, India, from August 22- 26, 2016.
- “Research Internship” in JAPAN under “Sakura Exchange Program in Science”, conducted between IIT, Hyderabad and University of Tokyo and funded by JST under Japan – Asia Youth Exchange Program in Science started on June 12, 2016, and ended on July 2, 2016.
- Attended “MSR India 2012 Summer School” on “Distributed Algorithms, Systems, and Programming” at the Indian Institute of Science (IISc.), Bangalore, India.
Poster Presentations
- "Implementation of online-permissiveness using multiple versions and MVC Algorithm” at “IRISS 2016”, January 21-22, 2016, Trivandrum, India..
- “Impossibility of online-scheduling with mvc-opacity and MVC algorithm for Multiverion STMs” at “XRCI Open 2016”, January 21-22, 2016, Xerox, Bangalore, India.
- “Multiversion Conflict algorithm for Multiversion Software Transactional Memory Systems”, at “5th IDRBT Doctoral Colloquium 2015”, from December 10-11, 2015 Institute for Development and Research in Banking Technology, Hyderabad, India.
- “A new Conflict Notion for Multiversion Software Transactional Memory System” at “Doctoral Symposium of DEBS 2014”, May 26-29, 2014, IIT Bombay, India.
- Presented various posters in “University Day at NetApp” in March 2013, 2014 and 2015, Bengaluru, Karnataka, India.
- “Efficient Algorithm for Concurrency Control using Software Transactional Memory System” at “ACM Annual Event”, held at IIT Delhi, in February, 2014.
- “Concurrency Control issues in Multicore Architecture” at “PhD Forum of ICDCN 2013”, January 3-6, 2013, TIFR, Mumbai, India.
- “Concurrency Control issues in Multicore Architectures”, Priyanka Kumar and Sathya Peri in Poster Presentation at Ph.D Forum of 14th International Conference on Distributed Computing and Networking (ICDCN), TIFR, Mumbai, India 2013. (Adjudged 2nd Best Poster).
Paper Presentations
- "A Buyer and Seller’s protocol via utilization of smart contracts using Blockchain Technology" at ICAICR-2019, June 15-16, 2019.
- “Mobility and Networking with Mobile IP” at “National Conference on Mobile Applications and Security” held at Sri Balwant Institute of Technology, Sonepat, Haryana, India, from October 15-16, 2010.
- “A Study Based On Terror Tracking Application Using Advanced Web Mining System” at “International Conference On Recent Advances in e – communication and i - technologies ” held at Anand Institute of Higher Technology, IT Corridor, Kalasalingam Nagar, Chennai, from April 29-30, 2010.
- “A New Framework for the implementation of Active Data Warehousing & it’s Application in E-Business Environment” at “National Conference” held at Manipal Centre for Information Science, Manipal University, Manipal, Karnataka, from April 23-24, 2010.
- “Object-oriented Data Mining and its knowledge Based Optimization” at “National Conference” held at K S Rangasamy College of Technology, Tirunchengode, Tamil Nadu, from March 5-6, 2010.
- “A New Architecture framework on Cloud Computing and its application” at “National Conference” held at K S Rangasamy College of Technology, Tirunchengode, Tamil Nadu, from March 5-6, 2010.
- “Multi-Relational Object Oriented Data Mining and Ontology Based Application” at “National Conference (NCACC’ 09)” held at Vellalar College of Engineering, Erode, Tamil Nadu, on April 17, 2009.
Students
Ph.D. Supervision (Ongoing)
- Nandhakumar Subramaniam (2021-2025- Part Time) (Domain: Predictive Analytics, Thesis Topic: Predictive Analytics with 5G for Banking Industry). He is full time employee in Tech. Mahindra, Canada.
- Anand A Haridas: (2020-2024 – Part Time) (Thesis Topic: Efficient Blockchain Solution for Supply Chain System)- He is full time Assistant professor in Ahalia School of Engineering Technology, Kerala, India.
- Gill Verghese (2020-2024- Part Time) (Domain: Predictive Analytics). He is working as Software Engineer – DevOps Developer at Gadgeon Smart System, Cochin, Kerala.
PG Thesis Supervision
- Maharshi Shah (M.tech CSE, 2017-2019), Thesis Topic -“Tamper proof Birth certificate using Blockchain Technology”. Currently working in Intel, Bangalore, India.
- Vennela Gudimella (M.tech. AI & Data Science 2019-2021), Thesis Topic – Ananlysis, Visualization and Prediction of Data Science application using AI and ML, Placed in Cerner, Bangalore, India.
B.Tech. Student’s Project Guided
- 2016-2017:
- Sanjay Menon
- Sivaranjani R
- S. Santosh Kumar
- 2017-2018:
- Sachin S Kamath
- Venkat Raman
- Eswara Sai Aravind
- 2018-2019:
- Promitha Nair
- Jyotish Jony
- 2019-2020:
- Sanjay Menon
- Sivaranjani R
- S. Santosh Kumar
- 2020-2021 (Group A: AI and Machine Learning in Data Science Application)
- Kiran S Raj
- Manish Reddy
- Ravi Kumar
- Abhishek Srikanth
- 2020-2021 (Group B: Blockchain in Supply Chain System)
- Srivatsa D
- Nithin Aakash
- S Sahishnu
- Leeladhar
Teaching
- Spring 2021 (January – June):
- Software Engineering – 3 credit course (B. Tech. 3rd year CSE students)
- Open Python Lab – 1 credit course (B. Tech. 3rd year Open Elective)
- Data Structure - 2 Credits Course (B. Tech. 2nd year CSE students)
- Autumn 2020 (July – December):
- Data Science – 3 credit course (B.Tech. 4th year)
- Database Management Systems – 3 credit course (B.Tech. 3rd year)
- Spring 2020 (January – June):
- Software Engineering – 3 credit course (B. Tech. 3rd year CSE students)
- C- Programming – 3 credit course (B. Tech. 1st year)
- Autumn 2019 (July – December):
- Database Management Systems – 3 credit course (B.Tech. 3rd year)
- Problem Solving and Algorithmic Thinking – 4 credit course (B. Tech. 2nd year)
- Spring 2019 (January – June):
- Foundation of IT (15CSE377) – 3 credit course (B.Tech. 4th year ECE students and EIE students)
- Autumn 2018 (July – December):
- Database Management Systems (15CSE302) – 3 credit course (B.Tech. 3rd year)
- Oops using Java (15CSE202 and 15CSE282)– 3 credit course (B.Tech. 2nd year)
- Spring 2018 (January – June):
- Distributed Systems (16CS622) – 4 credits course (M.Tech.+ PhD)
- C- Programming (15CSE102 and 15CSE180) – 3 credit course (B.Tech. 1st year)
- Autumn 2017(July – December):
- Android Application Development (15CSE375) – 3 credit course (B.Tech. 3rd year Elective)
- Computational Thinking and Problem Solving (15CSE100) – 3 credit course (B.Tech. 1st year)
- Spring 2016 (January – June):
- Distributed Systems (16CS622) – 4 credits course (M.Tech.+ PhD)
- Autumn 2016 (July – December):
- Database Management Systems (15CSE340 and 15CSE391) – 3 credit course (B.Tech. 3rd year)
Related
Dr. Natarajamani S.
Assistant Professor
Dr. Santosh Kumar Sahu
Assistant Professor
Dr. R. Krishankumar
Assistant Professor
