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DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

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Presentation on theme: "DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING"— Presentation transcript:

1 DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING
INDIVIDUAL FACULTY PROFILE DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING

2 LIST OF FACULTY Anurag Mittal Aritra Hazra Chandra Sekhar C.
Chester Dominic Rebeiro Deepak Khemani Gonsalves T.A. Hema A. Murthy JanakiRam D. Jayalal Sarma M.N. John Ebebezer Augustine Kamakoti V. Krishnamoorthy Sivalingam Madhu Mutyam Meghana Nasre Mitesh Khapra Nandivada Venkata Krishna Narayanaswamy N. S. Pandu Rangan C. Pradeep Ramachandran Prashanth L.A Raghavan S.V. Raghavendra Rao B. V. Ravishankar Krishnaswamy Rajsekar Manokaran Ravindran B. Rupesh Nasre Sayan Ranu Shankar Balachandran Shweta Agrawal Siva Ram Murthy C. Sreenivasa Kumar P(Head) Sukhendu Das Sutanu Chakraborti

3 Dr. Anurag Mittal PhD, Univ. of Maryland College Park, USA Associate Professor, Dept. of CSE ; Computer Vision Multi-Camera Security and Surveillance Contour-based Object Detection & Recognition Feature Detection and Description Back to Top

4 Aritra Hazra

5 Anurag Mittal

6 Dr. C. Chandra Sekhar Ph.D., IIT Madras, India Professor, Dept. of Computer Science and Engineering ; Machine Learning for Speech Technology Kernel Methods for Pattern Analysis Content based Information Retrieval Support Vector Machines based Approaches to Acoustic Modeling for Speech Recognition Design of Dynamic Kernels for Speech and Image Data Scene Image Retrieval using Kernel Methods Back to Top

7 Assistant Professor, Computer Science and Engineering
Dr. Chester Rebeiro Assistant Professor, Computer Science and Engineering ; Major Areas of Research Hardware Security Side Channel Analysis Hardware Trojans PUFs Cryptography Implementations in Hardware and Software Operating Systems Secure Operating Systems Design Back to Top

8 Dr. Deepak Khemani PHD, IIT Bombay, India Professor, Dept. of Computer Science and Engineering ; Artificial Intelligence/Knowledge Representation and Reasoning Artificial Intelligence/Automated Planning Artificial Intelligence/Memory Based Reasoning Thing Lexical Nodes Tools Parts Operations Automotive Ontology Retrieve Marketing DRILL Case Base Design Reuse Revise & Retain Training Analysis 9 8 C1 C2 C3 C4 C5 1 2 3 4 5 6 7 Planning and Scheduling of Convoy Movement Record Knowledge Management with Case Based Reasoning Back to Top

9 Professor, Dept. of Computer Science and Engineering
Timothy A. Gonsalves Professor, Dept. of Computer Science and Engineering ; Research Interests: Design and performance of computer and telecom networks. With emphasis on innovative and low-cost product and technology development for Indian and international industry. Fostering software development in small towns and rural areas. Back to Top

10

11 Dr. Dharanipragada Janakiram
Professor, Computer Science and Engineering ; Major Areas of Research Distributed Systems, Grid Computing and Cloud Compuitng Service Oriented Architectures for Operating Systems Big Data Analytics and Database Systems Internet of Things (IoT) Sensor Device Integration into Cloud Systems Andriod Security Research Challenges in Building Large Scale Software Systems Back to Top

12 Department of Computer Science & Engineering
Dr. Jayalal Sarma Assistant Professor Department of Computer Science & Engineering ; Areas of Research : Theoretical Computer Science, Computational Complexity Theory Structural, Arithmetic & Boolean Circuit Complexity. Algebra and Computation.Pseudo-randomness, De-randomization. Back to Top Picture Credits :

13 044-2257-4383; augustine@cse.iitm.ac.in
Dr. John Augustine Ph.D., Univ. of California, Irvine, USA Asst. Professor, Dept. of Computer Sci. and Engg. ; Algorithms at large including: Distributed Algorithms Computational Geometry Online Algorithms Big Data Networks Geometry Back to Top

14 044-2257-4368; veezhi@gmail.com>
V. Kamakoti Reconfigurable Intelligent Systems Engineering (RISE) Lab Professor, Dept. of Computer Sci. and Engg. ; V. Kamakoti specializes in the areas of VLSI Design and Computer Architecture. His specific interests include power-aware design and testing of digital circuits, secure compute and network architectures, wireless sensor networks and thermal imaging based embedded systems for medical diagnosis. He is one of the co-founders  of the Reconfigurable Intelligent Systems Engineering (RISE) group. The RISE Lab is involved in development of  indigenous secure computing and networking platforms. Back to Top

15 Dr. Krishna Moorthy Sivalingam
Ph.D., State Univ. of New York, Buffalo, USA Professor, Dept. of Computer Science & Engg. ; PASSPORT PHOTO Computer Networks: Software Defined Networking, Data Center Networks Computer Networks: Wireless Networks, Optical Networks Hybrid Optical-Packet DCN Switch SDN Based LTE EPC Network Protocols and Algorithms: Design, Analysis and Implementation Back to Top

16 PHD, IIT Madras, India Professor, Dept. of CSE
Dr. Madhu Mutyam PHD, IIT Madras, India Professor, Dept. of CSE ; Multi-core Architectures Network-on-Chip Emerging Memory Technologies Shared resource management in multi-core processors Optimizing communication among cores of a multi-core processor Dealing with hybrid memory systems Back to Top

17 Dr. Meghana Nasre Assistant Professor
Computer Science and Engineering. ; Major Areas of Research Graph Theory, Algorithms. Matchings in graphs under preferences. Back to Top

18 Mitesh Khapra

19 PHD, UCLA, USA Associate Professor, Dept. of CSE
V. Krishna Nandivada PHD, UCLA, USA Associate Professor, Dept. of CSE ; Compiler Optimizations – Optimizations for multicore systems Compiler Optimizations – Semantics preserving optimizations. Language design for performance and programmability. Software security – Security for mobile applications Serial programs and Multicore systems Semantics preserving compilers Secure Mobile Apps $ g++ a.cc –o a.out Q: a.cc == a.out? Performance, Programmability and Security in Software Systems Back to Top

20 Narayanaswamy N. S

21 Pandu Rangan C

22 Pradeep Ramachandran

23 Prashanth L.A

24 Raghavan S.V.

25 Dr. Raghavendra Rao B. V. Assistant Professor, Computer Science and Engineering
; Major Areas of Research Computational Complexity Theory. Algebraic Complexity Theory. Combinatorial Commutative Algebra. Analysis of Algorithms. Computational problems on algebraic and combinatorial structures. Back to Top

26 Ravishankar Krishnaswamy

27 Rajsekar Manokaran

28 Ravindran B

29 Computer Science and Engineering
Rupesh Nasre. Assistant Professor Computer Science and Engineering ; Major Areas of Research Parallelization Compilers Domain Specific Languages Problem Algorithm Modeling Performance Graph [nodes(node: Node, dist: int), edges(src: Node, dst: Node)] Source: Node initDist = [nodes(node n, dist d)] → [d = if (n == source) 0 else ∞] relaxEdge = [nodes(node p, dist dp), nodes(node q, dist dq), edges(src p, dst q), pd + 1 < qd] → [qd = pd + 1] init = foreach initDist bfs = iterate relaxEdge main = init; bfs a b d e c g f Shortest Paths Computation Language Specification Optimization and Code Generation Performance Measurement Back to Top

30 Sayan Ranu

31 Shankar Balachandran

32 Shweta Agrawal

33 PhD, Indian Institute of Science
Dr. C. Siva Ram Murthy PhD, Indian Institute of Science Professor, Dept. of Computer Science and Engineering ; Wireless Networks Real-time Systems Back to Top

34 Sreenivasa Kumar P.

35 Dr. Sukhendu Das Professor, Computer Science and Engineering
; http: // …./~vplab Major Areas of Research CBVR using DMST-CSS and Hyper-strings Unconstrained Face Recognition - EDT - ESS - Subband (Proposed VIDCAR) (ICPR-10) Domain Adaptation, Saliency (FRBP), Soft object and biped dynamics SLAR for “Smart CBIR” MTH SLAR Unifying Visual Perception and Visualization for cognitive intelligence algorithms  Back to Top

36 PhD, The Robert Gordon University, UK
Dr. Sutanu Chakraborti PhD, The Robert Gordon University, UK Asst. Professor, Dept. of Computer Science ;   Text and Web Analytics Machine Learning for Knowledge Acquisition Cognitive Aspects of Language and Memory Search, Recommendation and Corporate Memory Systems Machine Learning for Natural Language Processing Looking into the Future: Non-conventional models of cognition (language and memory) COMPUTATIONAL MODELS OF LANGUAGE, MEMORY AND LEARNING Back to Top


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