Current Position: AI Engineer, Cradlewise
Topic: Design of Fair Auctions: A Deep Learning Approach. July 2021.
Bazil completed his B.Tech in Computer Science and Engineering from University School of Information, Communication and Technology, Delhi (USICT) in 2018. He joined for M.Tech in Artificial Intelligence, IISc in 2019. His research interest lies in the field of Natural Language Processing, Deep Learning, Game Theory, and Mechanism Design. He is currently working on design of Fair Auctions using a deep learning approach as an extension of his M.Tech project.
Current Position: Data Scientist, Tarxya Limited
Topic: A Novel Hybrid Group Testing Method for Covid-19. July 2021.
Current Position: Post Graduate Engineer Trainee - Tata Advanced Systems
Topic: Agricultural Crop Price Prediction using Transformer Encoder Based Wide and dep Networks. July 2021.
Topic: Algorithms for Multi Robot Exploration using Potential games. July 2020.
Mayank Singh is working as software developer contributing to Oracle’s Java Virtual Machine. He got his Master’s Degree in Computer Science Engineering from Indian Institute of Science in 2019. His hobby is to solve puzzles and learn new mathematical concepts.
Current Position: Data Scientist at Nference.ai
Topic: Resource Allocation For Enhanced Campus Security Using Stackelberg Games. July 2020.
Saloni received her Bachelor of Engineering in Computer Science degree from Miranda House, University of Delhi, in 2017. Post that she joined IISc and did her Masters with the thesis titled “Resource Allocation For Enhanced Campus Security Using Stackelberg Games”. She is currently working as a Data Scientist in US based startup Nference.ai. Her current work areas are statistics, machine learning and deep learning.
Current Position: Data Scientist, nference
Topic: Urban Water Markets based on Auctions and Blockchain Technology. July 2020.
Komal Rathod completed her masters in Computer Science from IISc, Bengaluru in the year 2019. Her thesis work focussed on building auction mechanisms for digitised water markets. Currently she is working as a Data Scientist at nference. Her interests lie in solving meaningful real-life problems through the knowledge of Computer Science. She strongly believes that education is a powerful tool in bringing long-term social impacts and in upliftment of a society.
Raj Rajvir Bipinkumar
Current Position: Analyst, Goldman Sachs
Topic: A Novel Approach for Regret Reduction in Correlated Bandits. July 2019.
Raj worked on Multi Armed Bandits for his MTech Thesis. His interest domains are Game Theory and Stochastic Modellling
Current Position: Application Engineer, Directi
Topic: Design and Implementation of Blockchain Based Smart Contracts for Procurement and Crowdsourcing Markets. July 2018.
Nitish Sandhu was born in Hamirpur, H.P., spent some early childhood years there, then moved to Kurukshetra, Haryana at the age of 10. He completed his schooling at APS Kurukshetra. He was interested in Mathematics in school and so choose non-medical after 10th. He completed B.Tech. from NIT Kurukshetra, batch-2015, after which he joined IISc in 2016, and did his M.Tech project in Game Theory. Post masters he is working at Directi Bangalore.
Current Position: Sr. Software Engineer at Qualcomm Hyderabad
Topic: A Novel Multi-Armed Bandit Mechanism for Enhancing the Performance of Online Educational Forums. July 2017.
Priyanka worked on Multi-Armed Bandit approach for enhancing student learning and participation through online discussion forums. She designed a UCB based algorithm to recommend an optimal mixed strategy of marks for the instructor which maximizes the effectiveness of the course by maximizing the sum of utility of the students.
Current Position: Senior Engineer, Western Digital
Topic: A Two Phase Approach for the Influence Limitation Problem in Social Networks. July 2017.
I am Neeraj Balotia , currently working as Senior Engineer, Western Digital Bangalore. I am part of software development team, responsible for front end and back end application development.
I have done M.E/M.Tech in CSE from IISc Bangalore, under the guidance of Prof. Y. Narahari Sir ( 2015-2017).
Current Position: Associate Quant at Goldman Sachs
Topic: Design of Coalition Resistant Credit Score Functions for Online Discussion Forums. July 2017 (BSc (Research) Student, IISc)
Amlesh is a quantitative strategist in Structured Credit Trading Group at Goldman Sachs. At Goldman, he’s involved in fast moving projects in mathematical finance. His interest lies in the study of numerical techniques and designing pricing models for exotic derivatives. In his current role, he is responsible for both pricing and risk modelling sourcing/deployment funding trades done by the Structured Credit Trading Desk.
Topic: Coordinated Online Resource Allocation in Cloud Computing. July 2016.
Oruganti Sudhir Babu
Topic: Design of Incentives and Resource Allocation in Geosensing Applications. July 2016.
Current Position: Machine learning engineer at Expedia
Topic: Multi-Campaign Influence Maximiazation in Social Networks. July 2015.
Shaifali joined the IISc M.E program in year 2013 and did her major in Game theory under Prof. Y Narahari in the year 2014-15. Her thesis explored the Multi channel influence maximization using cross-entropy method. She joined an e-commerce startup after graduating, in the Data team which dealt in areas like customer personalisation and organic search. Currently working at Expedia, which is a Tech company in Travel domain, in the Data Science team building business intelligence solutions.
Current Position: Computer Scientist - Adobe
Topic: Multi-Phase Information Diffusion in Social Networks. July 2015.
Surabhi is currently working as a Computer Scientist at Adobe. Prior to this, she was working as Software Engineer at Intel. She recieved her M.E. in 2015 from CSA, IISc
Topic: A Simulation Tool for Proframance Analysis of Multi-Armed Bandit Mechanisms and Algorithms. July 2015.
Ganesh Sambhaji Ghalme
Current Position: Postdoc, Game Theory Group, Technion, Israel
Topic: Multi-Armed Bandit Mechanisms for Crowdsourcing, June 2014
Ganesh is a post-doctoral researcher at the Game Theory Group, Technion, Israel. He completed his PhD from the lab in June 2020. He is interested in the problems at the intersection of machine learning and game theory. Specifically the strategic manipulation of learning algorithms under uncertain environment. These problems include multi-armed bandits mechanisms, fairness in machine learning and learning with strategic agents (strategic classification, for instance).
Santosh Srinivas Karrotu
Current Position: Senior Software Engineer, Oracle India Pvt Ltd, Hyderabad
Topic: Resource Allocation Algorithms for Cloud Computing Platforms with Strategic Agents. July 2015.
At Oracle, he works on building the framework and technology for Oracle E-Business Suite (EBS) and also responsible for migrating EBS to Oracle Cloud Infrastructure. He has a passion for designing and implementing algorithms. He mentors budding engineers and helps them advance their career. When not at work, he plays with his daughter, Sonakshi.
Topic: A Simulation Tool for Crowdsourcing Platforms. July 2014.
Current Position: Sr. Manager, Data Science, Walmart Global Tech
Topic: A Stackelberg Game Approach for Improving Instructor-Student Interactions in Online Educational Forums. July 2014.
Priyanka Bhatt is a Senior Manager, Data Science at Walmart Global Tech, with extensive experience in driving and building scalable data-centric products and strategies. She has worked on challenging data and scalability problems as part of the Voice-Commerce, Display-Targeting and Affiliate-Marketing teams at Walmart Labs. Her work spans across: NLP, user modeling, recommendation systems, bidding, budget allocation, forecasting, optimization and building scalable systems. Her work has been published in top-tier Game Theory and ML conferences (AAAI’15, WWW’18) and she has been an invited speaker at multiple academic and industry conferences like WSDM’19, Fifth Elephant’18, AI & Big Data Expo’19.
Current Position: Software Engineer at Microsoft
Topic: Preference Modelling and Aggregation in Social Networks. July 2014.
Akanksha Meghlan is currently working as a Software Engineer at Microsoft where she is involved in optimizing and enhancing the query optimizer of one of the mega scale Azure databases. She has an experience of 6 years working on big data analytical engines with focus on performance improvements with organizations like SAP Labs, Oracle Labs and now Microsoft. She has publications in VLDB 2017 along with patents on some of the functionalities that she worked upon. She keeps herself updated with the ongoing research work in the DBMS and Big data community in order to devise new approaches to solve critical problems in Modern Database Management Systems.
Current Position: Harvard CRCS Postdoctoral Fellow, Harvard University
Topic: A Novel Budgeted Multi-Armed Bandit Mechanism, June 2014
Presently, I am a Postdoctoral Fellow at the Center for Research on Computation and Society (CRCS), John A. Paulson School of Engineering and Applied Sciences (SEAS), Harvard University. My broad areas of interest include Algorithmic Game Theory, Optimization, and Machine Learning. I have worked on a wide range of problems, including multi-agent learning, fair division, incentive mechanism in application to real-world scenarios such as intervention planning for public health programs, resource allocation, online crowdsourcing, dynamic pricing in transportation, and ride sharing. My long-term goal as a researcher is to help provide decision support solutions to socially impactful problems.
I was recently invited to speak at the annual Rising Star event at 53rd Symposium on Theory of Computing (STOC) 2021. I received a Harvard CRCS Fellowship towards my postdoctoral research at Harvard University. For my Ph.D. work, I have been selected for the Best Thesis Prize in the Department of CSA for the Academic Year 2020-21 and also for the Best Thesis Prize by the Indian National academy of Engineering (INAE).
Topic: Prior-Free Mechanism Design for Multi-Unit Reverse Auctions. July 2014.
Current Position: Assistant Professor, Indian Institute of Technology Kharagpur
Topic: Asymptotic Manipulability of Strategic Voting Rules, July 2013
Palash Dey is an Assistant Professor in the Department of Computer Science and Engineering in the Indian Institute of Technology Kharagpur. Prior to this, he was an INSPIRE post-doctoral faculty fellow at Tata Institute of Fundamental Research (TIFR), Mumbai. He works broadly in the theoretical computer science and particularly in algorithmic game theory. He has completed his Ph.D. at Indian Institute of Science (IISc), Bangalore under the supervision of Prof. Y. Narahari and Prof. Arnab Bhattacharyya.
His Ph.D. thesis won the prestigious ACM India Doctoral Dissertation Award in 2017 as well as the Best Ph.D. Thesis award from the Department of Computer Science and Automation (CSA), IISc.
Current Position: Postdoctoral Fellow, Columbia University
Topic: A Novel Ex-Post Truthful Mechanism for Multi-Slot Sponsored Search Auctions, July 2013
Debmalya Mandal is a postdocstoral research scientist at Columbia Data Science Institute. He graduated with a PhD in computer science from Harvard University under the guidance of Prof. David C. Parkes. His research interests include computational social choice, information elicitation, algorithmic fairness, and machine learning theory.
Topic: Incentive Compatible Mechanisms for Power Cut Allocation in Smart Grids, July 2013.
Topic: Design of Strategies for Naval Surveillance using Security Games. July 2013.
Topic: Location Based Crowdsourcing Mechanisms and Simulation on Realistic Data Sets, July 2012
Topic: Truthful Mechanisms for Accurate Prediction of Object Quality through Multi-Level Social Networks, July 2012.
Current Position: Research Assistant Professor, Kellogg School of Management, Northwestern University
Topic: A Game Theoretic Approach to Influence Limitation Problems, July 2012.
Sourav is a research assistant professor at Kellogg School of Management and Northwestern Institute of Complex Systems (NICO). His research is broadly at the intersection of network science, data (graph) mining, and applied machine learning. The applications and methods come from different areas such as computer science, operations research, and computational social science. His current research also focuses on the science of innovation and designing AI based solutions for problems in business.
He received his Ph.D. in Computer Science from University of California, Santa Barbara. Before joining UCSB, he got his Master of Engineering degree in Computer Science and Automation (CSA) Department from Indian Institute of Science, Bangalore, India.
Current Position: Homemaker
Topic: Dynamic Mechanism Design for Sponsored Search Auctions. July 2011.
Alfiya has worked as a researcher in IBM labs, India and TRDDC, Pune. She worked in areas of machine learning, time series forecasting, privacy and security and optimization. Her interest areas are mathematical modelling and machine learning.
Premm Raj H
Current Position: Product Manager @ Neustar
Topic: Influence Limitation in Multi-Campaign Social Networks: A Shapley Value Based Approach, July 2011.
Premm is currently working as Product Manager with Neustar Customer Analytics team. Premm draws his expertise from Big Data and Analytics, Digital marketing, Social Media management, Machine Learning, E-Commerce, Distributed Cluster computing, and Cloud computing technologies. Premm is felicitated with multiple awards including a CEO Award for outstanding contribution to Neustar, Leadership Award, multiple Star Awards, Customer Delight Award and Industry Leadership Award, multiple Excellence Citations throughout his career.
Premm has an MBA from IIM Ahmedabad and M.Tech from IISc Bangalore (CSA Dept.). Premm is recognised by NASSCOM & MeitY as Subject Matter Expert and Technical Guru in BigData Analytics.
D. Venkata Satya Kiran
Topic: Two Sided Matching Algorithms with Strategic Agents. July 2011.
Topic: Computation of Shapley Value in Monotone Convex Games and Application to Clustering, July 2011.
Topic: Incentive Compatible Information Diffusion in Social Networks. July 2010.
Topic: Quality Conscious and Truthful Query Incentive Networks. July 2009.
Current Position: Staff ML Engineer at Twitter
Topic: Optimal Equilibrium Bidding Strategies for Budget Constrained Bidders in Sponsored Search Auctions. July 2009.
Chaitanya graduated from the lab in 2009 and since then has worked in Ads and eCommerce domains in Microsoft, Flipkart, Amazon and is currently with Twitter as Staff ML Engineer
Current Position: Assistant Professor of Business Analytics at Mendoza College of Business
Topic: A Novel Cooperative Bid Optimizer for Sponsored Search Auctions. July 2008.
Sriram Somanchi is an Assistant Professor of Business Analytics at Mendoza College of Business. His research focuses on bridging the gap between machine learning and social science problems. His interests include developing computationally efficient statistical machine learning algorithms for pattern detection in massive, complex data and demonstrating the practical utility of applying these approaches to real-world problems. He has worked in the area of event and pattern detection in the domains of disease surveillance, clinical health, finance and law enforcement. Somanchi also is interested in leading the development of machine learning and data-mining methods to enable data-driven decision making in organizations and public policy agencies.
Somanchi has a PhD in Information Systems and Management from Heinz College at Carnegie Mellon University. He is a graduate from Machine Learning Department at CMU, and earned an M.E in computer science from the Indian Institute of Science, Bangalore, India.
Topic: Threshold Behavior in Query Incentive Power Law Networks. July 2008.
Current Position: Research Engineer, Facebook
Topic: Efficient Algorithms for Web Service Composition. July 2008.
Prashanth has worked in Game Theory & E-Commerce areas during his masters in 2008 and published a paper titled “Efficient Algorithms for Combinatorial Auctions with Volume Discounts Arising in Web Service Composition” as part of his ME thesis. After his ME, he has been working in various organizations in India & USA in the areas of developing large scale distributed system applications. Currently he lives in Seattle, USA and works at Facebook.
Current Position: Manager, Oracle
Topic: Cost Sharing Mechanisms for Business Clusters with Strategic Firms. July 2008.
Ashwin, at Oracle, works on building the technology for Oracle E-Business Suite (EBS) and also responsible for migrating EBS to Oracle Cloud Infrastructure. He has a passion for designing and implementing algorithms. He mentors budding engineers and helps them advance their career. When not at work, he plays with his daughter, Sonakshi.
Nikesh Kumar Srivastava
Current Position: Head of Data Science - TATA AIG
Topic: Incentive Compatible Mechanisms for Decentralized Supply Chain Formation. July 2007.
Nikesh has over 13+ years of work experience with organizations like ZS Associate,Walmart Lab, Ernst & Young, Hewlett Packard & Innovation Labs 247 Customers. Nikesh has holds Bachelor of Technology from National Institute of Foundry and Forge Technology Ranchi and Masters in Computer Science from Indian Institute of Science, Bangalore. He holds expertise in both project management and mathematics modeling using Machine learning ,large scale optimization, high performance computing, forecasting and Artificial Intelligence(AI) .
Nikesh is married to Anshu Srivastava who is homemaker.
He loves swimming, spending time with family
Achievements: The Economic Times Digital Warriors 2021 Awards : Most Disruptive Deployment Award 3 patents in area of Artificial Intelligence, Optimization, and Forecasting Digital Disruption Award 2020 for Market optimization application at Walmart Lab
Topic: A Core and Shapley Value Analysis of Cooperative Bidding in Sponsored Search Auctions. July 2007.
Raghav Kumar Gautam
Current Position: Software Engineer, Uber
Topic: Optimal Auctions for Multi-Unit and Combinatorial Procurement. July 2007.
Current Position: Senior Software Engineer, Google USA
Topic: A Combinatorial Auction Approach to QOS-Aware and Interface-Aware Web Services Composition. July 2007.
Megha works on question answering products on Search. She works on natural language understanding algorithms, serving, UI and analysis.
Topic: Auction Based Mechanisms for Resource Selection in Computational Grids. June 2006.
V. Sowjanya Lakshmi
Topic: NICE: Novel Iterative Combinatorial Exchanges. June 2006.
S. Sivasankar Reddy
Topic: Design of an Optimal Mechanism and Learning Optimal Bid Prices in Sponsored Search Auctions. June 2006.
M. Kalyan Chakravarthi
Topic: NECTAR: Nash Equilibria Computation Resource. June 2006.
Topic: SEMPA: A Simulation Environment for Markets and Pricing Algorithms. June 2005.
Topic: Implementation of Algorithms for Computing Nash Equilibria in Noncooperative Games. June 2005
Durgesh Kumar Verma
Topic: Optimization Models for Multiattribute Auctions and Exchanges. June 2005.
Topic: Software Design and Implementation of Electronic Logistics Exchanges. June 2005.
Topic: EPSILON: A New Generation E-Procurement Tool. June 2004
Topic: MCMC Based Algorithms for Combinatorial Auctions and Exchanges. June 2004.
Maria Praveen Kumar
Topic: Design and Implementation of a Private Marketplace for Electronic Procurement. January 2002.
Topic: An Object Oriented Framework for Multi-Agent Systems. January 2002.
Topic: A Testbed for Rosettanet. January 2002.
Topic: Design of Six Sigma Supply Chains using Motorola Six Sigma Approach. May 2002.
Sanjay Kumar Linda
Topic: Simulation Based Design Optimization of Supply Chains. March 2001.
Topic: Optimal Planning of Auction Based Inventory Management. January 2001.
Topic: ACF: Agent Communication Framework. January 2001.
V. Diwakara Rao
Topic: Load Testing of Web Servers. January 2001.
Current Position: Director R&D in VMware Inc
Delivering next generation security products for virtualized data centers running in the multi-cloud environments and on-premises of customers. Product services range from basic L4 firewall to Anti-malware and sandboxing services.
Current Position: Software Engineer @Facebook
Topic: SC-PROMISE: Supply Chain Process Modeling and Simulation Environment. January 2000.
He is originally from Warangal, Telangana, currently residing in Fremont, CA. Currently working at Facebook. Earlier worked at Life360, Good Technology, Samsung & Wipro, mostly on Mobile software especially Android. Enjoys Yoga & Hiking. Attempted cow based organic farming and enthusiastic about it.
Y. Hari Krishna
Topic: Object Oriented Building Blocks for Supply Chain Simulation, January 2000.
Jeevan Kumar Rathod
Topic: A Graphical User Interface for SC-PROMISE. January 2000.
Topic: Design of Synchronized Supply Chains: A Six Sigma Tolerancing Approach. January 2000.
Rajni Kant Lal
Topic: AHA: An Internet Auction House Application Server. January 2000.
Ravi U. Koti
Topic: SIMHA: A Simulation Environment for Internet Auctions. January 2000.
Topic: Design of a Business Process Performance Measurement System using IBM San Fransisco Framework.
Topic: Implementation of Amazon.com Transactions using IBM SanFrancisco Framework. March 1999.
K. Chandra Mohan
Topic: An Object Oriented Project Management System. January 1997.
Topic: Analytical and Object Oriented Process Models for Software Product Development. January 1997.
Suthindran Guru Rao
Current Position: CEO
Business and Technology visionary with outstanding leadership skills. Executive and hands on experience driving revenue and cost savings by leveraging leading edge technology.
25+ years of experience in developing high performance technology organizations.
Transformational leader with capability to drive cultural and organizational change.
Innovative product development, incubation of new products and technologies, sourcing, web and mobile technology development for high end transaction system.
V. Kiran Kumar
Topic: Queueing Network Models of New Product Development, January 1996.
Topic: A Software Package for Simulation of Non-Stationary Models. June 1995 (Integrated ME).
Topic: Analysis of Scheduling Policies in Re-Entrant Manufacturing Systems, June 1994 (Integrated ME).
Manoj Singh Gaur
Current Position: Director, IIT Jammu
Topic: Transient Analysis of Markovian Queueing Models, January 1994.
Prof. Manoj Singh Gaur is the founder Director, Indian Institute of Technology Jammu from 30 June, 2017. Prof Gaur has joined IIT Jammu with leave on deputation as a Professor in Department of Computer Science and Engineering, Malaviya National Institute of Technology Jaipur, India. Prior to Director, IIT Jammu, he was Professor In Charge (Coordinator) of IIIT Kota, which was mentored by MNIT Jaipur. He was Head of Computer Science and Engineering Department at MNIT Jaipur for three terms. He has been Dean (Students Welfare) and Head, Central Computer Centre at MNIT Jaipur as well. He completed his Master’s degree in Computer Science and Engineering from Indian Institute of Science Bangalore and PhD from University of Southampton, UK. In his teaching and research career, he has been Investigator of a large number of funded research projects in the area of Information Security and Networks on Chip. He has been part of core group of Project ISEA which is a major multi Institutional project in the domain of Information Security in India. His current research areas include Computer and Network Security, Mobile Platform Security, Cloud Security, Malware Analysis, Networks-on-Chip, and SDN. He has been engaged in a large number of international collaborations from UK, France, Germany, Spain, New Zealand, and USA. He has supervised Twenty Two PhDs till date and currently four research scholars are working in with him. Out of his research, he has published more than 180 papers in reputed journals and conferences
Current Position: Engineering Manager, DZSi
Topic: Performance Analysis of Brownian Scheduling Policies, January 1994.
Venkateshwara Sastry completed his M.E. from IISc, in the year 1994 in the department of CS&A. Since then he has worked in many multi-national companies like, Cisco, Hewlett-Packard, Motorola, etc. in many technical and leadership positions. He worked extensively in developing Mobile Internet Technology and contributed to many standard bodies like IETF, WiMAX and 3GPP2. Currently, he is working on Network Orchestration and Data Analytics in DZSi.
Topic: Scheduling Multiclass Production Systems Using Lagrangian Relaxation, January 1994.
Topic: Performability Analysis of Fork-Join Queueing Systems, June 1992 (Integrated ME).
Topic: An Advanced Simualation Package for Automated Manufacturing Systems, June 1992 (Integrated ME).
Topic: Object-Oriented Modelling and Simulation of Flexible Manufacturing Systems, January 1992.
Topic: Simualation Analysis of Kanban Systems, January 1992.
S. Naresh Babu
Topic: Performability Evaluation of Failure-Prone Manufacturing Systems, January 1992.
Topic: Modelling and Performance Analysis of Kanban Systems, January 1991.
P. Hanumantha Rao
Topic: Integrated Analytical Models for Automated Manufacturing Systems, January 1991.
M. S. Manjunath
Topic: Transient Analysis of Automated Manufacturing Systems, January 1991.
Topic: Object-Oriented Simulation of Automated Manufacturing Systems, January 1991.
Topic: Object-Oriented Simulation of Versatile Machine Centres, January 1991.
Topic: Quantitative Analysis of Deadlocks, January 1991.
N. R. Ramesh
Topic: Integrated Performance Modelling Using Queueing Networks and Stochastic Petri Nets, January 1990.
R. B. Kohad
Topic: Performability Computation Using Stochastic Petri Nets, January 1990.
Topic: Algorithms and Distributed Implementation for Petri Net-Based Simulation, January 1990.
Topic: Closed Queueing Networks with Blocking, January 1990.
N. V. Subba Reddy
Current Position: Professor, Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal
Topic: Discrete Event Simulation Using Petri Nets, June 1989.
N.V. Subba Reddy has worked as professor and Head of the Department, in the Department of Computer Science and Engineering, at Manipal Institute of Technology, MAHE Deemed University. He was the Associate Director, R & D, at MIT, Manipal; Director, Sikkim Manipal Institute of Technology, and the Vice Chancellor, Mody University (MITS Deemed to be University), Rajasthan.
Currently, he is working as a Professor, in the Department of Computer Science and Engineering and Head of the Department Information Technology, at Manipal Institute of Technology, Bengaluru, MAHE Deemed to be University.
His research interests are in Machine Learning, Pattern Recognition, Data Mining, and Computer Cognition, Artificial Intelligence, Document Image Processing, Neural Networks, Fuzzy Systems, Genetic Algorithms, Character Recognition, Cursive Script Recognition, and Image Processing.
He has guided 10 PhD scholars.
He has worked in several administrative roles in different Universities and technical bodies and has also been instrumental in establishing centers of Excellence and implementing MOU’s of government bodies, industries and reputed Universities outside India. He has established dual degree programs with some of the Universities of USA, Canada, Switzerland, and France.
His awards and honors include Special Bharat Jyoti Award 2011 (India International Friendship Society) for excellent contribution to the field of Education, and a plaque of appreciation (Bar Council of India, Government of India) for successfully implementing new initiatives of Bar Council of India Trust, in the University. He is the recipient of Best Paper Award for the session “Intelligent Systems and Tools”, in the 8th World Multi-conference on Systemic, Cybernetics and Informatics, held in Orlando, Florida, USA. He has authored a textbook on Object Oriented Programming Using C++ and VC++.
Topic: Performance Modelling and Evaluation Using Deterministic and Stochastic Petri Nets, June 1989 (Integrated M.E.).
Topic: Performance Evaluation Using Closed Queueing Networks, June 1989 (Integrated M.E.).
M. Nita Ingewar
Topic: Performance Modelling and Evaluation of Dataflow Computer Architectures Using Stochastic Petri Nets, January 1989.
Shounak Roy Chowdhury
Topic: Markov and Semi-Markov Models of Automated Manufacturing Systems, April 1990. (BE Project Student)
B. C. V. Satya Chaitanya
Topic: Performance Analysis of Parallel Processing Systems, April 1990. (BE Project Student)
K. R. Krishna Prasad
Topic: Performance Evaluation of Automated Manufacturing Systems with Deadlocks, April 1990. (BE Project Student)
Topic: A Translator for Symbolic Expressions in Performance Analysis, April 1989. (BE Project Student)
Topic: Petri Net-Based Algorithms for Discrete Event Simulation, April 1989. (BE Project Student)
Harish R. Iyer
Topic: Performability Analysis Using Stochastic Petri Nets, April 1989. (BE Project Student)
Topic: A Software Package for Performance Analysis of Stochastic Petri Net Models, April 1988. (BE Project Student)