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M. Balakrishnan | Dept. Computer Science and Engineering | IIT Delhi | Hauz Khas | New Delhi 110016 | [email protected]

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My MTech Thesis.pdf

Related Papers

Neeraj Rathore

Alfredo Goldman , Fabio Kon , Raphael Camargo , Francisco Silva

Distributed and Parallel Systems

Krzysztof Nowinski , Piotr Bała , Fabio Pasian , Giuliano Taffoni , N. Podhorszki

Zoltán Farkas

Today basically two grid concepts rule the world: service grids and desktop grids. Service grids offer an infrastructure for grid users, thus require notable management to keep the service running. On the other hand, desktop grids aim to utilize free CPU cycles of cheap desktop PCs, are easy to set up, but the availability towards users is limited compared to the service grid. The aim of the EDGeS project is to create an integrated infrastructure that gathers the advantages of the two grid concepts. A building block of this infrastructure is bridging between the different grid types. In the paper we focus on bridging from desktop grids towards service grids, i.e. making desktop grids able to utilize free service grid resources.

Distributed and Parallel …

Attila Marosi

Irfan Helmi

Peer-to-Peer (P2P) and distributed systems are typically designed around the assumption that all peers/nodes will willingly contribute resources to each other. They thus suffer from freeloaders, that are, participants who consume many more resources than they contribute. For example, a peer/node may be willing to be a resource consumer and not a provider. Moreover a resource provider may not be providing efficient and reliable services to other peers/nodes and is just sharing resources for the sake of resource sharing. In this paper, we propose a framework for fair and reliable resource sharing in distributed/P2P systems. For fairness we use the concept of accounting systems; where the entities of the systems are bank accounts, salaries and resource rates. Every system can use the resources of other systems on payments from its salary and can select the resource in competitive environment. Reliability is implemented by using the trust model; where reliability levels are modeled for realization of reliability in the system. Experimental simulation used for evaluating and validating the performance of the proposed framework. Results show that the framework is very trustable for the resource sharing with fairness and reliability in distributed/P2P systems.

Doina Banciu

Urmila Shrawankar

A computational grid environment, due to its heterogeneous, autonomous and dynamic nature is prone to different kinds of faults which may lead to delay in completion of job or even execution of job from starting point. Checkpointing mechanism plays a vital role for making grid more reliable, cost effective and efficient. In this paper, we have proposed schemes based on system checkpointing and application checkpointing. Their performance comparison is done based on the empirical study. The ABSC scheme is suitable for the applications where computations are not intense. But for computationally intense applications where reliability is more important ABAC scheme is more suitable. But this scheme may produce slight overheads in fault free situations and very reliable in faulty situations.

Journal of Parallel and Distributed Computing

Fabio Da Silva Francisco

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Recent Submissions

• Channel-graph regularized correlation filter for visual object tracking  Tyagi, Arjun ; Subramanyam, A V (Advisor) ( IIIT-Delhi , 2020-07-01 ) Correlation filter (CF) based tracker often disregard or weakly incorporate the importance of feature channels as well as channel similarity. To address this, we propose a channel-graph regularization correlation filter-based ...
• Sinkhorn attacks  Chaudhuri, Dibyendu Roy ; Subramanyam, A V (Advisor) ( IIIT-Delhi , 2021-07-01 ) Adversarial attacks have been extensively investigated in the recent past. Quite interestingly, a majority of these attacks primarily work in the lp space. In this work, we propose a novel approach for generating adversarial ...
• Disentangling reconstruction network for unsupervised cross-domain person Re-Identification  Jain, Harsh Kumar ; Subramanyam, A V (Advisor) ( IIIT-Delhi , 2020-06-01 ) Unsupervised cross-domain Person Re-Identi cation (Re-ID) severely su ers from the domain gap. While di erent works address this issue, bridging domain gap with high-level representation is hard as it comprises of entangled ...
• Implementing ChaCha-based crppto primitives on programmable smartNICs  Kottur, Shaguftha Zuveria ; Shah, Rinku (Advisor) ; Tammana, Praveen (Advisor) ; Kadiyala, Krishna (Advisor) ( IIIT-Delhi , 2023-05 ) Control and management plane applications such as serverless function orchestration and 4G/5G control plane functions are offloaded to smartNICs to reduce communication and processing latency. Such applications involve ...
• Enabling rapid prototyping of tangible augmented reality experiences  Monteiro, Kyzyl John ; Parnami, Aman (Advisor) ( IIIT-Delhi , 2023-05 ) We introduce Teachable Reality, an augmented reality (AR) prototyping tool for creating interactive tangible AR applications with arbitrary everyday objects. Teachable Reality leverages vision-based interactive machine ...
• Computational creativity: artificial intelligence models for the generation and classification of affective artwork and their human evaluation  Raj, Yash ; Bagler, Ganesh (Advisor) ( IIIT-Delhi , 2023-06 ) Visual artwork is among the most salient forms of human expression. From prehistoric cave paintings to Renaissance and modern art, paintings have been a powerful medium for expressing emotions. With the advent of computing ...
• Extreme abstractive text summarization  Simran ; Chakraborty, Tanmoy (Advisor) ; Akhtar, Md. Shad (Advisor) ( IIIT-Delhi , 2022-12 ) Extreme Abstractive Summarization of long scientific papers requires domain knowledge and a concise summary maintaining faithfulness to the source and covering novel aspects presented in the paper. Human annotations are ...
• Federated learning for commercial image sources  Jain, Shreyansh ; Jerripothula, Koteswar Rao (Advisor) ( IIIT-Delhi , 2023-05 ) With the growing awareness regarding user privacy and the demand for transparency, traditional distributed machine learning algorithms are becoming taboo that uses the user’s data without any restriction or privacy. The ...
• Sarcasm explanation in multimodal dialogues  Vaibhav, Shashwat ; Akhtar, Md. Shad (Advisor) ( IIIT-Delhi , 2022-12 ) Sarcasm is a means to convey ridicule or contempt. There has been a plethora of work in sentiment analysis, of which sarcasm is one of the most challenging tasks due to the incongruity between the surface level and the ...
• Policy document summarization with controlled abstractive techniques  Fazili, Sehban ; Akhtar, Md. Shad (Advisor) ( IIIT-Delhi , 2023-05 ) Privacy policies are often lengthy and complex, hindering individual’s ability to make informed decisions about their data privacy. Abstractive summarization techniques can improve accessibility and transparency, but there ...
• Few quantum cryptanalysis techniques  Saha, Sanchita ; Bera, Debajyoti (Advisor) ( IIIT-Delhi , 2023-05 ) Quantum algorithms like Shor’s and Grover’s algorithms have proven to break several cryptographic schemes theoretically. Shor’s algorithm, which can factor numbers exponentially faster than classical computers, can break ...
• Microservice-based in-network AES solution for FPGA NICs  Hussain, Lasani ( IIIT-Delhi , 2022-12 ) Data centers demand high throughput (100 to 400 Gbps) and sub-millisecond latency. The performance of data center applications heavily depends on the efficiency of the underlying TCP stack. Despite several optimizations, ...
• Harmful meme diffusion  Vigneshwar, Palani ; Akhtar, Md. Shad (Advisor) ; Chakraborty, Tanmoy (Advisor) ( IIIT-Delhi , 2023-05 ) With the widespread use of social media platforms, virality has become a fascinating subject for researchers. Content-based research emphasizes the role of content characteristics in predicting virality, such as the type ...
• Multimodal sarcasm explanation and target generation  S, Giridhar ; Akhtar, Md. Shad (Advisor) ( IIIT-Delhi , 2023-05 ) Sarcasm is a nuanced and context-dependent communication that poses a significant challenge for natural language processing (NLP) systems. This study proposes a novel approach to improving sarcasm understanding by generating ...
• Knowledge graph assisted extreme summarization of scientific documents in hyperbolic space  Mukherjee, Asmita ; Chakraborty, Tanmoy (Advisor) ; Akhtar, Md. Shad (Advisor) ( IIIT-Delhi , 2022-12 ) A research paper is a document that presents an original work and introduces new concepts and makes interconnections between them via arguments and statements. Extreme Summarization involves high compression of the information ...
• Unsupervised meta generative object re-identification  Giri, Biman ; Subramanyam, A V (Advisor) ( IIIT-Delhi , 2022-05 ) Unsupervised domain adaptation severely suffers from huge domain gap in fine grained recognition tasks such as vehicle re-identification (re-id). Existing works either focus on fully unsupervised methods using tracklet or ...
• An evaluation of multi-user OFDMA performance in WiFi 6 and its optimization for deadline constrained settings  Dev, Harshal ; Maity, Mukulika (Advisor) ; Bhattacharya, Arani (Advisor) ( IIIT-Delhi , 2021-12 ) IEEE 802.11ax, popularly known as WiFi 6, introduces OFDMA (Orthogonal Frequency Division Multiple Access) that allows multiple users to transmit or receive frames concurrently via a more flexible utilization of the available ...
• Scalable spatio-temporal arrival time estimation for public transit  Dhingra, Karan ; Biyani, Pravesh (Advisor) ( IIIT-Delhi , 2021-09 ) The problem of the ETA prediction of public transit has an essential role in improving the rider’s experience. While, it is challenging to ensure the timeliness of bus, especially during the rush hours. This thesis provides ...
• On the implementation of internet censorship in India  Singh, Kartikey ; Chakravarty, Sambuddho (Advisor) ( IIIT-Delhi , 2022-07 ) In this work we highlight the evolution of Internet censorship within the largest democracy i.e., India. We first report a new form of Internet censorship i.e., mobile app blocking and describe in detail the mechanics ...
• Dolphin : a cellular voice based internet shutdown resistance system  Sharma, Rishi ; Chakravarty, Sambuddho (Advisor) ; Maity, Mukulika (Advisor) ( IIIT-Delhi , 2022-07 ) Traditional censorship revolves around blocking access to some websites (or services) over the Internet. However, recently there has been a rise in the events of an extreme form of censorship viz., deliberate Internet ...

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This collection of MIT Theses in DSpace contains selected theses and dissertations from all MIT departments. Please note that this is NOT a complete collection of MIT theses. To search all MIT theses, use MIT Libraries' catalog .

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List of M.Tech theses guided

Master's theses supervised in ieor.

• Neeraj Naik: Mainline Rail Operations : Study of Speed Differential & Optimal Train Allowances (2024) 
• Vishal: Line Planning and Timetabling in Public Transportation: Models and Methods (2024)
• Peddi Madhav: Crew Scheduling: Heuristics and Exact Methods (2024)
• K. Geetha Bhargavi: Direct Despatch Opportunity Prediction and Order Fulfilment Models (2023)
• Himanshu Damani: Warehouse Operations Analysis (2023)
• Palkesh Bhidodiya: Congestion Metrics & Routing Techniques for Rail Freight Networks, (2023)
• Akshat Bansal: Crew Scheduling for Long-distance Passenger Railway Transportation (2022)
• Utkarsh V. Konge: Supply Chain Archetype Framework & Container Train Scheduling for Multi-terminal Port (2022)
• Abhijith P.Y. [with Santosh Noronha]: Deep Learning in Chemometrics (2022)
• Amit B. Gadekar: Hierarchical Forecasting Models (2022)
• Taposh Kumar Kapuria: [with Youssef Boulaksil] (2021)
• A. Tarun Raj: Demand Forecasting and Inventory Management of Automobile Spare Parts (2020)
• P. Sandeep Kumar: [as co-guide with S.SenGupta], Scheduling Freight Trains on a Mixed-Traffic Network to Minimise Energy Consumption (2020)
• Mohammad Mufassir Khan: [as co-guide with P.Balamurugan], Predictive Analytics in Healthcare Data (2020)
• P. Mallikarjuna Reddy: [as co-guide with Jayendran Venkateswaran], Demand Forecasting in tractor manufacturing industry (2020)
• Ratnesh Srivastava: [as co-guide with Jayendran Venkateswaran], Industrial Engineering application in Production unit (2020)
• Gaurav Amrutkar: [as co-guide with S.SenGupta]: Handling Categorical Features of High Cardinality in Tree/Rule-based Classification (2019)
• Saurav Adhikari: [as co-guide with S.SenGupta]: Dynamic Pricing Strategies in Indian Domestic Airlines (2019)
• Sourav Mondal: [as co-guide with S.SenGupta]: Runtime Estimation for Railway Timetabling (2019)
• Aayush Aggarwal: Robustness in Railway Timetables (2018)
• Anuj Sahu: Maintenance and Capacity Analysis of Railway Networks (2018)
• Anand Singh: (2018)
• Vipin Maurya: Analysing Railway Networks by Simulation and Parametric Modeling to Improve Freight Operations (2018)
• Harshit Gupta: Process Design and Improvements in a SME [with J. Venkateswaran] (2018)
• R. Vidyadhar: Simulation and critical Analysis of Railway Networks (2017)
• Vinay Rai: Data Analysis of Parameters Related to Kidney Transplant Procedures (2017)
• Rakesh Kumar Sharma: Managing Freight Traffic on Rail Networks : Analysis of Terminal Operations (2016)
• Abhijeet Kalpande: Failure Diagnostics and Predictive Analytics in Automotive Systems (2016)
• G. Sai Muni Teja: Fleet management in rail transport: Coal rakes in Indian Railways (2015)
• Naveed Farhan, Selection of Representative Configurations in Highly Customized Automobiles by Large Scale Optimization (2015)
• Shilpi Bhargava, Passenger Demand Forecasting and Dynamic Pricing to support Premium Trains on Indian Railways (2015)
• Vishal Rewari: Fleet management in rail transport: Petroleum rakes in Indian Railways (2014)
• Joydeep Ghosh: Co-integration in Time Series Analysis [with A. Subramanyam] (2014)
• Ruchir Santuka: Improved Formulations for Cutting Stock Problem with Set-up Cost [with Ashutosh Mahajan] (2014)
• Anoop Chatterjee, Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Keshav Kumar Singh: Modeling and Design of algorithms for rail operations and Capacity Planning (2013)
• Rohan Rao: Part Demand Prediction in Mass Customization Environment (2013)
• Rajesh Sharma: Pricing of assets in rail operations and third party logistics services (2013)
• Anoop Chaterjee: Priority based Task-level Scheduling in Multi-project, Multi-resource environments (2013)
• Priya Agrawal: Facility Design and Operational Strategies for Railway Networks (2012)
• Anand Rajak: Modelling and Computations in Multi Echelon Supply Chain network Design of FMCG Industry (2012)
• Sunil Kumar: Transfer pricing and transportation cost allocation in a global steel supply chain (2011)
• Pratik Fadadu: Network level Investments to Improve Rail Capacity (2011)
• Dileep Damayyawar: Inventory Planning and Management of Cold Storage Facility for Grapes (2011)
• Meghraj Nalge : Adaptive Traffic Control Methods with Downstream Detection System (2010)
• Rajat Choudhary : Vehicle Routing Problem : Application to Routing of Vehicles for Distributing Meals under Mid Day Meal Scheme (2010)
• Abhishek Singh Verma: Production Planning and scheduling in Automotive Paint Shops (2009)
• Tilak Raj Singh: Airline Crew Planning and Management (2008)
• Piyush Verma: Timetabling and Operations Planning in Railway Networks (2008)
• Manish Kumar Singh: Optimal Booking Strategies for a Shipper Dealing with a Monopolistics Logistics Carrier (2008)
• Amey Kamat : Optimization problems in sensor network design [with Mani Bhushan ] (2007)
• Deepika Taneja : Pricing for third party logistics service providers (2007)
• Sharad Kumar Shrivastava : scheduling problems using constraint satisfaction programming [with S.B. Patkar ] (2007)
• Vineet Kapoor : Demand sensing and its application in revenue management (2007)
• Braja Gopal Das : Applications of revenue management (2006)
• Chetan Desai : Supply chain strategies and inaccuracy modeling in RFID-enabled system  (2006)
• Nishant Patil : Winner determination in combinatorial auctions (2006)
• Rakesh Ambre : An event based simulation model for railway train scheduling (2006)
• Mitesh Gupta: Cost and Revenue based approach to new product introduction and product rationalisation (2005)
• Seema Ramteke : Preparation of train timetables (2005)
• Shivaji Dhekane : Management of perishable inventories with RFID technology (2005)
• P.Subramaniam : Vehicle Routing problems (2004)
• Ravindra Gokhale : Simulation studies on railway line capacity [with N.Hemachandra ] (2004)
• Vaishali Moharir : Optimal pricing and operating policies for competing modes of transport [with N.Hemachandra ] (2004)
• Mitali Johri : Railway Scheduling and capacity planning - A Simulation based approach (2003)
• Sudhir K. Sinha : Analysis of operating costs and pricing models on transport networks [with Milind Sohoni ] (2003)
• B.Raghuram : Rakelinking for suburban train services using constraint satisfaction [with M.Sohoni ] (2001)
• K.Chandrashekar : Policies for new product introduction and old product withdrawal [with N.Hemachandra ] (2001)
• Maj. S.Bahel : Maintenance management information system in army repair establishment (2000)
• Nitish Dave: A Decision support system for announcing sales promotion schemes in perishable supply chains using Markov decision processes [with N.Hemachandra ] (2000)
• Rahul J. Patil : Materials management practices in growing small scale industries: a supply chain management perspective [with Rahul Pandey ] (2000)
• Shrinivas Asanare : Suburban railway timetabling using CHIP (2000)
• Ashok Kumar: Scheduling of trains on railway sections [with P.G.Awate ] (1999)
• Chetan Ghatole : Spatial allocation of resources using geographical information system [with Rangan Banerjee ] (1999)
• Hemant Trivedi : Time tabling of rail services (1999)
• Shashi Bhusan Mani Tripathi : Application of BPR in supply chains - A case study [with A.S.Babu ] (1999)
• S.S.Nagaonkar : Modelling handovers and simulation based performance evaluation [with N.Hemachandra and A. Wolisz ] (1999)
• Maj. O.P.Yadav : Productivity measurement and improvement in army base workshops (1998)
• Alok Kumar: Systems for planning for material availability and control of production flows (JIT) [with P.G.Awate ] (1997)
• Chetan Soman : Supply chain management (1997)
• Mahesh Shenoy : Timetabling for suburban railways (1997)
• T.Ravi Kumar: Development of PDMS module in RDBMS framework [with A.S.Babu ] (1997)
• Vinayak Paranjape : Policies for closed loop control of loading items at a bottleneck facility in a refrigerator manufacturing plant [with P.G.Awate ] (1997)
• Erwin Paes : Robust techniques for combinatorial problems (1996)
• N.Patwardhan : Analysis of human aspects of TQM implementation (1996)
• Ashok Agarwal : Application of OR models in mail operations (1995)
• R.Agre : Multistage batch sizing with joint set up costs with application to steel industry [with P.G.Awate ] (1995)
• B.C.S.Krishnamohan : Capacity estimation and enhancement of transportation networks (1994)
• S.Venkatraman : Development of educational test package for single facility capacitated dynamic lot sizing [with P.G.Awate ] (1994)
• J.R.Suresh : Crew scheduling in urban bus transport (1993)
• George Paes : Multilevel programming - algorithms and applications (1992)

Master's theses supervised in Mechanical Engineering

• Lokesh Borkar: Generation and Analysis of Transportation Networks for Identification of Critical Links [with A.Tewari] (2018)
• Deepak Miglani: Simulation and Analysis of Mixed Traffic in Railway Junctions (2017)
• Ajinkya Deshpande: Planning for multi-modal transport operations in urban areas (2017)
• Ayush Agrawal: Optimization and Simulation of Railway Networks (2016)
• Abhirath Sharma: Managing empty rake operations in Western Railway Zone (2016)
• Krishna Agrawal: An analysis of train running data in suburban train operations (2016)
• Hussain Bharmal: Design and Operations of Indian Railways (2015)
• Mohit Uppal: Network Analysis of Semiconductor Global Production Network (2015)
• Shashank Dangayach: Technical Analysis of Suburban Railway Network (2014)
• Vipul Depal: Analysis of Safety in the Mumbai Rail System (2011)
• Tarun Mohan Mathur: Modeling Urban Taxi Networks (2010)
• Pulkit Jain: Capacity Analysis in Transport sectors (2009)
• Yogesh Jain: Forecasting Models for Travel demand (2009)
• Manik Bahadur: Optimization in Airline Operations and Planning (2008)
• Shailesh Lekhwani: Pricing and Revenue Management in Transport Sector and Logistics (2008)
• Akshay Saxena : Combinatorial optimization by probabilistic methods [with N.Hemachandra] (2007)
• Gaurav Singla : Bilevel Programming in Supply chain management (2007)
• Rasik N. Patel: Framework for 3D shape optimization and manufacturing of polished diamonds [with Milind Sohoni ] (2006)
• Kartik Raghupati : Procurement problems and combinatorial auctions [with N.Hemachandra ] (2005)
• Adesh Nath Rawal : Supply chain management for the textile sector (2004)
• B.N.Vishnu : A simulation model for operations management and capacity evaluation at railway stations (2003)
• Kamalesh K. Somani : Supply chain optimization: Agri supply chains, and Ant colony optimization models for VRP (2003)
• S.Rajagopal : Strategies for co- ordinating buyer-supplier interactions in electronic marketplaces, [with N.Hemachandra ] (2001)
• Prasad S. Phatak : Crew scheduling for bus transport, an implementation using column generation (1997)
• Rudra Kumar: Warehouse location problems (1997)
• K.Girish : Analysis of planned relayout for a motors plant (1996)
• Niraj Gupta: Multi-product integrated production-distribution system (1996)
• A.S.Bajwa : Cost effective and strategic relocation and design of main stores for switch board factory for Siemens Ltd, Kalwa (1995)

Master's theses guided in Electrical Engineering

• R.V.Satwik [with Madhu Belur]: Reinforcement Learning to Improve Railway Timetabling (2022)
• Darshit Jain [with Madhu Belur]: Suburban timetabling: modulo-simplex methods and optimization (2019)
• Vipin Shukla [with Madhu Belur] Railway junction simulator development (2019)
• Anurag Agrawal: Aperiodic Railway Timetable Optimization on a suburban rail network - Case study on Mumbai Harbour line [with Madhu Belur] (2018)

Master's theses guided in Computer Science and Engineering

• Peeyush Gupta: Signal Spacing and Capacity Improvement for Railways  [with Abhiram Ranade] (2013)
• Devendra Shelar: SketchRail, A Railway Network Configuration Editor [with Abhiram Ranade] (2012)
• S.Chandran : Suburban railway timetabling [with M.Sohoni ] (2003)
• Kedar S. Nadkarni : Competitive traffic modeling [with M.Sohoni ] (2002)

Master's thesis guided in Aerospace Engineering

• Tannishtha Sanyal: Optimization Studies related to Airline Maintenance Scheduling [with R.K.Pant] (2009)
• Ameya Behere: Air and High Speed Rail Transport: Competition and Integration [with R.P.Shimpi] (2016)

Master's theses guided in Mathematics

• Julie Shah: Optimal strategies for scheduling in a railway section (1997)
• Priya Mahadevan : Operationally feasible scheduling of trains on a rail network (1997)

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The IITD CSE Department is hosting a summer school on computer graphics and computer vision in summer 2024. This school is intended to give students a deep dive into the fundamentals of graphics and vision, along with hands-on experience in working on practical projects in these areas. Click here to find out more.

CSE Research Symposium

The IITD CSE Department and ACES-ACM (IITD chapter of ACM) are organizing a symposium on 19th and 20th April 2024. The symposium will feature talks by CSE PhD students and invited speakers Indrajit Bhattacharya (TCS) and Akash Lal (Microsoft). Click here to find out more!

Winter System School

IITD CSE department is organizing a winter systems school We will study classic and contemporary topics in program analysis and optimization, taught by Sorav Bansal and Kumar Madhukar. Click to find out more

CS Theory Winter School

IIT Delhi's CSE department is organizing a winter school on theoretical computer science from December 11 to 14, 2023. Click to find out more and apply by October 31, 2023.

CSE student receives gold medal

Our student Archit Bubna (2019CS10331) has received the President's Gold Medal during Convocation 2023. Congratulations Archit!

Winter Systems School

IITD CSE department is organizing a winter systems school where we will study two computer systems areas: cybersecurity and cloud computing. Click to find out more and apply by Oct 15th.

IITD CSE department is organizing a winter school on theoretical computer science during Dec 5-9, 2022. Click to find out more and apply by Oct 25!

Announcements

PhD/MSR Counselling session link on 18 March,2023(11 AM-12:30 PM).

Eligible M.Tech applications as per our shortlisting criteria. Eligible does not mean selected.

M.Tech 2021 shortlisting criteria ( link )

IIT Delhi is participating in COAP Round 3.

Please See bleow details for CSE Faculty Recruitment

CSE Faculty Recruitment:

Click here for CSE Faculty Recruitment

Students who wish to be UG TAs should fill the following form

https://forms.office.com/r/Lt6U6K2bVU

Admissions and Results

M.Tech Shortlisting Criteria and Other information for May 2024 ( Click here )

PhD/MSR Selection Process and Shortlisting Criteria @ Dept. of CSE (May 2023). Click here

M.Tech Shortlisting Criteria and Other information for May 2023 (click here)

M.Tech Shortlisting Criteria and Other information for May 2023 Coming soon

Course offerings in 2022 Diwali Semester

• All courses offered
• Special Topics and Special Module courses

Course offerings in 2022 Holi Semester

• Special Topics courses

The M. Tech. programme in Computer Science and Engineering (code: MCS) is a Masters programme offered to students who are interested in advanced learning and research in any area of computer science. Applicants to this programme are expected to already have an excellent background in computer science. (It is not a skills conversion programme). The programme is a 60-credit degree programme, which is usually spread over 4 semesters for a full-time student. About two-thirds of the credits involve coursework, and the remainder consists of project work. The emphasis is on conducting original research and writing a thesis (individually) that reports these results. The programme is flexible enough to allow a student to specialize in any topic of interest by taking elective courses and working on a research project in that area. Placements have been excellent (100%), and our graduates have been employed at the top research laboratories and companies in the country and even abroad.

Students are provided top quality laboratory and infrastructure facilities. We endeavour to provide financial support at Master's level stipends to all GATE-qualified full-time students. Full-time students not resident in Delhi are given priority in allotment of hostel accommodation.

Specializations

In addition to the general M.Tech degree, we also offer MTech degrees with specialization in any one of the following areas:

• Computer Graphics, Vision and Multimedia
• Computer Networks and Distributed Systems
• Algorithms and Complexity
• Formal Methods in Software
• Embedded Systems and Architecture
• Software Systems

The requirement for the specialization degree is that the student must complete at least 30 credits in the area of specialization at the 700-level or higher, subject to the following constraints:

• Major Project parts 1 and 2 (adding up to 18 credits) are in that area. (The supervisor certifies that the project is in the area of specialization.)
• The remaining 12 credits are from the basket of courses identified for that area, with at least 3 credits at the 800 level. (In the case of Independent Study and some of the Special Topics courses, the supervisor/instructor indicates which specialization area.)
• Not more than 4 core credits apart from Major project (i.e., from Minor Project or CSL 758 Advanced Algorithms or CSL 718 Architecture of High Performance Systems) can be counted towards the 30 credits.

Switching programmes

It is also possible to switch your programme of study mid-way. Interested students who have demonstrated excellence in their academic performance and research potential have the opportunity to convert to the Ph. D. programme or to the MS (Research) programme.

M. Tech. in CSE with Advanced Standing

Students at IIT Delhi pursuing a B. Tech. programme in any discipline have the option of obtaining an M. Tech. in Computer Science (Programme code: MCS) by investing an additional 2-3 semesters after the end of their B. Tech. programme.

For more details, click here .

Eligibility: The candidate must have a 4-year B.Tech./B.E. degree or a MSc./MCA degree in computer-science or information technology, and have an excellent academic record. The candidate should have demonstrated adequate bacground in computer science itself (GATE in CS/IT), or else with extensive experience in computing (for part-time students).

There are two different ways in which you can register for the M. Tech. programme in CSE at IITD: Full-Time : The candidate resides on the IIT campus for the entire duration of the programme. The student should have an excellent valid GATE score in CS/IT. Part-Time : The candidate should be working in an industry or organisation involved in computer science research/teaching and located within 50 kms of NCR. The organization should certify that it has No Objection to the candidate pursuing this degree.

Admission Procedure:

Download the application form from the IIT Delhi web-site or collect a paper application form from IIT Delhi, PGS&R Section. Fill the form and attach a draft for Rs 300 made payable to the "Registrar, IIT Delhi" at New Delhi. The forms are typically available around the beginning of March.

You may wish to also attach a curriculum vitae listing your academic record, Industrial/Research Experience, Research Publications (also include a copy of your best publication), academic honors and awards etc.

Send the application to the "Deputy Registrar, Post Graduate Section. IIT, Hauz Khas, New Delhi 110016". Interviews for admission are conducted once a year in May, and admissions are synchronized with the semester beginning late July.

After looking at your application we will decide whether to invite you for an interview. You will be informed of the decision by email. The interview will test your familiarity with basic concepts in Computer Science and your ability to analyze and formulate a solution to a problem. Part-time students may be given a written-test prior to the interview.

Semester-wise Distribution of Credits Typical credit distribution

Semester-wise Scheduling of Courses 1

Semester II

Semester III

Semester IV

• The schedule as presented is only indicative of how a typical student may register for courses, but allows considerable flexibility to the student in choice of when to register for programme and open electives.
• Select students who wish to conduct their project work outside Delhi, e.g. those in special academic exchange programmes, may, on approval, swap the Minor project with an OE/PE course usually taken in Semester III, and may also register for an additional OE/PE course in the Semester II. The Minor Project and Independent Study courses may be taken in the summer in these special cases.
• 600 level courses are not available to undergraduate and dual degree students.
• 600 level programme elective courses may be taken by students only on approval of M Tech coordinator, since these are courses typically in undergraduate curricula, which are made available to PG students who have not taken equivalent courses earlier.

The part-time programmes constitute an opportunity given to working professionals in the NCR area to pursue an advanced degree at IIT Delhi.

• Academically, the part-time programmes are identical to the full-time programmes.
• The normal duration of the Master's programmes is 6 semesters instead of 4, to complete the 60 credits of work.
• A part-time student can take no more than 12 credits a semester.
• There is only a small difference in the admission requirements (e.g., GATE is not mandatory, the academic performance requirements may be slightly different) and the admission test process may involve additional tests.
• The only other "concession" for the part-time student is that we will hold classes for core courses in the morning slots [C: 8-9 and D: 9-10 on Tue, Wed and Fri; and A: 8-9:30 and B: 9:30-11:00 on Mon, Thu]. Students should select elective courses on the basis of convenience and interest.

Yes, if you have the academic qualifications in terms of degree and academic performance as specified by the department (not just the minimal requirements specified by the institute). In addition, you need:

• At least one year's experience (by the start of the academic term, i.e July end or January 1) in an organization where your work is computer science related.
• You must be resident and working within 50 km of IIT Delhi.
• You should get a NOC from your employers at the time of joining in the format prescribed by IIT, and they must have consented in writing to your appearing for the interview.

No, GATE is required only for full-time students getting assistantship from the Institute.

Based on your application, you will be called for a test and interview. The written test is technical and objective, and will test your familiarity with basic computer science subjects --- programming, data structures, discrete mathematics and logic, programming languages and compilation, theory, algorithms design and analysis, operating systems and other systems software, networks, architecture, etc.

Normally 4 semesters for a full-time student and 6 semesters for a part-time student

Yes, of course, classes are conducted. These are conducted at the usual times on weekdays. You need to attend these classes, and be present. Part-time programmes are not remote programmes. The only other "concession" for the part-time student is that we will hold classes for core courses in the morning slots [C: 8-9 and D: 9-10 on Tue, Wed and Fri; and A: 8-9:30 and B: 9:30-11:00 on Mon, Thu]. Students should select elective courses on the basis of convenience and interest.

Yes. Approx a third of the M Tech credits are project credits; Two-thirds of the MS (Res) credits are project credits.

You can do your project at your work place or at home, but should archive and be able to demonstrate and document your work on the Department's machines.

Yes, if you are in the 50km range. Please note that if you change jobs during the programme, you should get a fresh NOIC from your new employer. Please note you need tobe employed to avail yourself of the part-time programme.

No, you are not eligible for hostel accommodation

No, you are not eligible for an assistantship from Institute sources.

MTechs from CS&E are typically placed with technology majors, startups and even with finance companies. See here for details of the 2015-16 placement season

Foreign students may apply for this programme at any time of year, and do not need to apply on the application form. Foreign students may apply either through their embassies, or through a scholarship/fellowship scheme such as the Indian Council of Cultural Relations (ICCR) or Asian Development Bank (ADB), or as self-financing student.

Please enclose your academic marks transcripts (with official translations, if necessary). Please attach a curriculum vitae listing your academic record, Industrial/Research Experience, Research Publications (also include a copy of your best publication), academic honors and awards etc.

Send the application to the "Deputy Registrar, Post Graduate Section. IIT, Hauz Khas, New Delhi 110016". Please apply well before the end of March.

After looking at your application we will decide whether to offer you admission.You will be informed of the decision by email.

Recent talks

Divy Agrawal, Computer Science at the University of California

Ramanathan. S. Thinniyam from Uppsala university 

Supratik Chakraborty

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and many other service providers.. Submitters, users and preservations policies are here is the official institutional Open Access theses repository of . Here all theses produced by students as a partial fulfillment of degree are uploaded. For more details: For other institutional Open Access scientific outputs (Journal Papers, Conference Papers etc.) of NITR visit Search the repository using a full range of fields. It is advanced search. View recent items added to the repository Mathematical modeling of hydrodynamic failures and evaluation of losses sustained Hydrotechnical Construction Published: 09 April 2009 Volume 42 , pages 331–338, ( 2008 ) Cite this article S. Ya. Shkol’nikov 1 & I. A. Sekisova 2   32 Accesses Explore all metrics To determine zones of potential flooding and damages due to inundation, it is necessary to assign an emergency scenario and simulate the emergency. This is a preview of subscription content, log in via an institution to check access. Access this article Subscribe and save. Get 10 units per month Download Article/Chapter or eBook 1 Unit = 1 Article or 1 Chapter Cancel anytime Price includes VAT (Russian Federation) Instant access to the full article PDF. Rent this article via DeepDyve Institutional subscriptions Similar content being viewed by others Hydrodynamic modelling of flow impact on structures under extreme flow conditions Novel method of boundary condition of dam-break phenomena using ghost-particle sph, a modified finite difference model for the modeling of flowslides, explore related subjects. Geoengineering V. P. Varnevskii and D. B. Radkevich, Government Inspection of the Safety of Water-Development Works at Power Plants. Safety of Power-Generating Structures [in Russian], Issue 1, Izd. NIIÉS, Moscow (1998). Google Scholar   RD 153-34.2-002.01. Temporary Procedure for Evaluation of Loss and Possible Consequences of the Failure of Water-DevelopmentWorks [in Russian], Issue 1, Izd. NIIÉS, Moscow (2001). Procedure for Determination of Amount of Damage Causative to Life and Health on the Physical Side , and Property on the Physical and Juridical Sides As a Result of Failures at Water-Development Works Owned by Establishments of the Fuel-Power Complex ( Emercom of Russia and Ministry of Power of the Russian Federation ) [in Russian], Izd. NIIÉS, Moscow (2004). Sequence of Determination of Amount of Damage Causative to Life and Health on the Physical Side and Property on the Physical and Jurisdictional Sides As Result of Failure of Water-Development Works ( Emercom of Russia , Ministry of Power , Ministry of Natural Resources of the Russian Federation , Ministry of Transportation of the Russian Federation , State Committee of the Council of Ministers for Supervision of Industrial Safety and Mining Inspection of the Russian Federation ), 3 June 2002 [in Russian]. B. L. Istorik, A. M. Prudovskii, and S. Ya. Shkol’nikov, “Hydraulic aspects of the prediction of breach conditions on the thrust front of hydroprojects,” in: Safety of Power-Generating Structures [in Russian], Izd. NIIÉS, Moscow (1998). E. I. Debol’skaya, Flow Dynamics Beneath an Ice Cover. Author ‘ s Abstract of Doctoral Thesis [in Russian], Izd. IVP RAN (2001). L. L. Kvaratskheliya, Theoretical and Model Studies of Breach-Wave Transformation in the Tail Races of Hydroprojects. Author ‘ s Abstract of Candidate ‘ s Thesis [in Russian], Izd. GruzNIIÉGS, Tbilisi (1984). V. M. Lyatkher and A. M. Prudovskii, Hydraulic Modeling [in Russian], Énergiya, Moscow (1984). Dam Breach Flood Analyses. Bulletin of Subcommittee 5 of ICOLD Committee on Hydraulics for Dams (1995). A. M. Prudovskii, “Formation of the opening during the beach of an earthen dam,” in: Safety of Water-Development Works [in Russian], Issues 2 – 3, Izd. NIIÉS, Moscow (1998). B. L. Istorik, Solution of Problems Involving the Formation and Spread of Breach Waves Using Numerical Methods. Author ‘ s Abstract of Doctoral Thesis [in Russian], Izd. VNIIVODGEO, Moscow (1986). B. L. Militeev, Use of Numerical Methods to Solve Problems Involving the Formation and Spread of Breach Waves. Author ‘ s Abstract of Doctoral Thesis [in Russian], Izd. MISI, Moscow (1983). V. M. Lyatkher, A. N. Militeev, and S. Ya. Shkol’nikov, “Analysis of the shoreline breaking of tsunami waves,” in: Investigation of Open-Ocean Tsunami Waves [in Russian], Nauka, Mocow (1978). S. Ya. Shkol’nikov, “Problem of the construction of conservative finite-difference schemes for differential equations of nonsteady flow in a non-prismatic channel,” Gidrotekh. Stroit. , No. 5 (1998). A. A. Li and S. Ya. Shkol’nikov, “Experience with numerical modeling of hydrodynamic failures,” Vodnoe Khoz. Rossii , 6 (6) (2004). I. A. Sherenkov, Applied Plane Problems of Open-Flow Hydraulics [in Russian], Énergiya, Moscow (1978). S. K. Godunov, and V. S. Ryaben’kii, Difference Schemes [in Russian], Nauka, Moscow (1976). A. N. Militeev and M. S. Sladkevich, “Difference scheme for solutions of plane shallow-water equations,” in: Manuscripts Deposited in the VINITI [in Russian], Issue 3, Moscow (1983). S. Ya. Shkol’nikov, Testing of Numerical Methods of Solving Hydraulic Problems [in Russian]. J. J. Stoker, Waves in Water [Russian translation], Inostrannaya Literatura, Moscow (1959). “Practice of declaring the safety of power-generating entities,” in: Safety of Power-Generating Structures [in Russian], Issue 15, Izd. NIIÉS, Moscow (2005). A. V. Troitskii and S. Ya. Shkol’nikov, “Experience with use of the procedure for combined evaluation of losses sustained during hydrodynamic failures at water-development works,” in: Safety of Power-Generating Structures [in Russian], Issue 15, Izd. NIIÉS, Moscow (2005). E. P. Bulanov, G. L. Mazhbits, and S. Ya. Shkol’nikov, “Influence exerted by computed characteristics of natural floods on evaluation of losses due to hydrodynamic failures,” in: Safety of Power-Generating Structures [in Russian], Issue 11, Izd. NIIÉS, Moscow (2003). Download references Author information Authors and affiliations. JSC “Énergotekhbezopasnost’”, Moscow, Russia S. Ya. Shkol’nikov Moscow State University of Nature Conservancy (MSUN), Moscow, Russia I. A. Sekisova You can also search for this author in PubMed   Google Scholar Additional information Translated from Gidrotekhnicheskoe Stroitel‘stvo , No. 10, pp. 48–55, October 2008. Rights and permissions Reprints and permissions About this article Shkol’nikov, S.Y., Sekisova, I.A. Mathematical modeling of hydrodynamic failures and evaluation of losses sustained. Power Technol Eng 42 , 331–338 (2008). https://doi.org/10.1007/s10749-009-0060-0 Download citation Published : 09 April 2009 Issue Date : November 2008 DOI : https://doi.org/10.1007/s10749-009-0060-0 Share this article Anyone you share the following link with will be able to read this content: Sorry, a shareable link is not currently available for this article. Provided by the Springer Nature SharedIt content-sharing initiative Residential Building Spring Flood Emergency Scenario Potential Flooding Specific Flow Rate Find a journal Publish with us Track your research oscow ournal of ombinatorics and umber heory Combinatorial geometry, geometric graphs, random graphs, extremal graph and hypergraph theory, probability and linear algebra in combinatorics, Ramsey theory in combinatorics and geometry. mraigor [at] yandex [dot] ru 1. Lomonosov Moscow State University, Mechanics and Mathematics Faculty, Department of Math. Statistics and Random Processes, Leninskie gory, Moscow, 119991, Russia 2. Moscow Institute of Physics and Technology, Faculty of Innovations and High Technology, Institutskiy per., Dolgoprudny, Moscow Region, 141700, Russia 3. Yandex, L'va Tolstogo St., 16, Moscow, 119021, Russia Published by the Moscow Institute of Physics and Technology With the support of Yandex and Microsoft 404 IMAGES Mtech Thesis for CSE students |Mtech project for CSE students PDF (M.Tech Thesis) M.Tech (CSE )1st Year (PDF) M tech thesis M.Tech CSE civil engineering Thesis of m tech COMMENTS (PDF) M Tech Thesis M Tech Thesis. July 2015; Authors: Bikram Ballav. Institute of Technical Education and Research; Download file PDF Read file. Download file PDF ... ciate Professor, Department of Computer Science ... Completed M.Tech Thesis Completed M.Tech Thesis . S.No. Student Name. Year. Title. Co-Supervisor. Remarks. 129. Akshay Pansari (2015ME20713) 2020. Dog Detection and a Metric for Video Object Detection . Chetan Arora . ... RAVI (IMRINT - MHRD) (Best M.Tech. Project - CSE 2019) 120. Shantanu Agarwal. 2019. Web Portal for PDF to EPUB Converters - RAVI (IMRINT - MHRD) 119 ... (PDF) My MTech Thesis.pdf The complex, heterogeneous and dynamic systems present new challenges in resource management such as: scalability, adaptability, reliability and fault tolerance. This thesis work focuses on he fault tolerance aspect of grid computing. 1.3 Thesis Framework This section discusses the framework of this thesis. MTech Theses Microservice-based in-network AES solution for FPGA NICs. Hussain, Lasani (IIIT-Delhi, 2022-12) Data centers demand high throughput (100 to 400 Gbps) and sub-millisecond latency. The performance of data center applications heavily depends on the efficiency of the underlying TCP stack. MIT Theses MIT's DSpace contains more than 58,000 theses completed at MIT dating as far back as the mid 1800's. Theses in this collection have been scanned by the MIT Libraries or submitted in electronic format by thesis authors. Since 2004 all new Masters and Ph.D. theses are scanned and added to this collection after degrees are awarded. (PDF) M.Tech thesis (IITP) PDF | On Jan 1, 2014, Nitin Kumar Singh published M.Tech thesis (IITP) | Find, read and cite all the research you need on ResearchGate PDF M. Tech Thesis Format Final The standard size of paper of a thesis is 21.5 cm (8.5 inches) wide and 28 (11 inches) long, commonly known as A4 sized paper. Oversized figures and tables if any should be reduced appropriately to fit with the size of the paper. Care should be taken not to compromise the clarity of the contents while reducing. List of M.Tech theses guided Master's theses guided in Computer Science and Engineering. Peeyush Gupta: Signal Spacing and Capacity Improvement for Railways [with Abhiram Ranade] (2013) Devendra Shelar: SketchRail, A Railway Network Configuration Editor [with Abhiram Ranade] (2012) S.Chandran: Suburban railway timetabling [with M.Sohoni] (2003) Thesis For M.tech Cse Thesis for m.tech Cse - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site. M. Tech. Program M. Tech. Program. The M. Tech. programme in Computer Science and Engineering (code: MCS) is a Masters programme offered to students who are interested in advanced learning and research in any area of computer science. Applicants to this programme are expected to already have an excellent background in computer science. M Tech Cse Thesis Topics m Tech Cse Thesis Topics - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Scribd is the world's largest social reading and publishing site. mtech-project · GitHub Topics · GitHub Add this topic to your repo. To associate your repository with the mtech-project topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. M Tech Thesis in Computer Science PDF The document discusses the challenges of crafting an M Tech thesis in computer science. It notes that writing an M Tech thesis requires extensive research, in-depth subject knowledge, and strong writing abilities. It also involves thorough literature review, data collection, analysis, and interpretation while navigating various research methodologies. Due to these difficulties, many students ... PDF M. Tech. Computer Science and Engineering (CSE) with ... e of mastery over the area as per the specialization of the program (Data Science). The mastery sh. ld be at a level higher than the requirements in the appropriate bachelor program.demonstrate higher level of professional skills to tackle mu. idisciplinary and complex problems related to variety real time applications data.be able to di. M. Tech. Thesis M. Tech. Thesis. Mathematical modelling of phosphate uptake and release by sodium polyacrylate containing rice straw biochar. PM2.5 and PM10 Source Apportionment Study: Deviation in CMB and PMF approaches. Inter and Intra seasonality in carbonaceous species (EC, OC) of PM2.5 aerosol over five sites of Indo-Gangetic plain, preliminary source ... Welcome to ethesis Welcome to ethesis. Instructions to upload thesis are here. Please read before uploading yours. and many other service providers.. ethesis@nitr is the official institutional Open Access theses repository of National Institute of Technology Rourkela. Here all theses produced by students as a partial fulfillment of degree are uploaded. 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