My Favorite Quotes

• "I think, therefore I am." – Rene Descartes
• "Everything can be sacrificed for truth, but truth cannot be sacrificed for anything." – Swami Vivekanada
• "People love those who are like themselves." – Aristotle
• "Great minds discuss ideas, average minds discuss events, small minds discuss people." – Eleanor Roosevelt
• "You don't have to believe in God, but you should believe in THE BOOK." – Paul Erdos
• "Genius is one percent inspiration, ninety–nine percent perspiration." – Thomas Alva Edison
• "It is the cheerful mind that is persevering. It is the strong mind that hews its way through a thousand difficulties. All knowledge that the world has ever received comes from the mind. The infinite library of the universe is in our own mind." – Swami Vivekanada
• "You cannot hope to build a better world without improving the individuals. To that end, each of us must work for his own improvement, and at the same time share a general responsibility for all humanity, our particular duty being to aid those to whom we think we can be most useful." – Marie Curie

A beautiful afternoon at the University of Victoria, British Columbia, Canada

About Me

I am a Director of Operations Research and Data Science at Optym, where we make transportation companies more profitable and efficient through the use of optimization and AI. Previously, I was a Senior Research Scientist at Data61 in Commonwealth Scientific and Industrial Research Organisation (CSIRO) and a Senior Research Fellow at Cyber Security Cooperative Research Centre (CSCRC). I am also a Conjoint Senior Lecturer at University of New South Wales. Previously, I was a Research Scientist at TCS Research and Innovation. I earned my Ph.D. in Theoretical Computer Science (TCS) from the Department of Computer Science and Engineering, Indian Institute of Technology Delhi. My Ph.D. research advisors were Professor Amit Kumar and Professor Naveen Garg.

My primary areas of expertise are Artificial Intelligence (AI) and Machine Learning (ML). This is the scientific study of algorithms and statistical models that computer systems use to perform a specific task, without using explicit instructions. My broad research interests are:

• Artificial Intelligence, Data Science and Machine Learning
• Analysis of Complex Networks and Social Networks
• Approximation, Randomized and Online Algorithms
• Combinatorial Optimization and Mathematical Programming
• Cyber Security

In my previous life, I worked as a Technical Lead at Yahoo! Research and Cognizant, and as a Software Design Engineer at Microsoft Corporation and Novell Inc. I also did internships at IBM Research and Yahoo! Labs. I completed my Master of Engineering from the Department of Computer Science and Automation, Indian Institute of Science Bangalore and Bachelor of Engineering from the Department of Computer Science and Engineering, Jadavpur University, Kolkata, both in Computer Science and Engineering. I had the privilege of working with Professor Samiran Chattopadhyay at Jadavpur University and Professor Ramesh Hariharan at IISc Bangalore, who is the Co-founder and Chief Executive Officer of Strand Life Sciences.

I was born and brought up at Bidhannagar (Salt Lake City), Kolkata. I studied till my class 10 in Bidhannagar Government High School, from where I passed Madhyamik Pariksha (Secondary Examination). I studied in St. Xavier's College, Kolkata (Wikipedia article) for my standard 12. From here, I passed Uchcha Madhyamik Pariksha (Higher Secondary Examination).

Academic Qualification

• Doctor of Philosophy (Ph.D.) in Computer Science, Indian Institute of Technology Delhi
• Master of Engineering (M.E.) in Computer Science, Indian Institute of Science Bangalore
• Bachelor of Engineering (B.E.) in Computer Science, Jadavpur University Kolkata

Professional Experience

• Director of Operations Research and Data Science, Optym
• Senior Research Scientist, Data61, CSIRO
• Senior Research Fellow, Cyber Security CRC
• Conjoint Senior Lecturer, University of New South Wales
• Research Scientist, TCS Research and Innovation
• Technical Lead, Yahoo! Research
• Technical Lead, Cognizant
• Software Design Engineer, Microsoft Corporation
• Software Development Engineer, Novell Inc

Vital Statistics

Resume
My article on Status of Computer Science Education in India
My Erdos Number is 3: Arindam Pal => Sushmita Ruj => Siddani Bhaskara Rao => Paul Erdos.

My Mathematics Genealogy

Professional Services

• Senior Member of ACM
• Senior Member of IEEE

Funded projects

• IC-IMPACTS: Smart Sensor Deployment in Buildings: Evacuation Planning and Energy Management
  Principal Investigator (India): Professor Krithi Ramamritham, Indian Institute of Technology, Bombay
  Principal Investigator (Canada): Professor Mark Fox, University of Toronto
  Co-Principal Investigator (India): Dr. Arindam Pal, TCS Research and Innovation, Kolkata

Journals

• ACM Transactions on Internet Technology
• ACM Transactions on Knowledge Discovery from Data
• AMS Mathematical Reviews
• IEEE Computer Magazine
• IEEE Transactions on Automation Science and Engineering
• IEEE Transactions on Big Data
• IEEE Transactions on Computational Social Systems
• IEEE Transactions on Dependable and Secure Computing
• IEEE Transactions on Emerging Topics in Computing
• IEEE Transactions on Knowledge and Data Engineering
• IEEE Transactions on Network and Service Management
• IEEE Transactions on Neural Networks and Learning Systems
• IEEE Transactions on Signal Processing
• Information Systems Frontiers
• Journal of Artificial Intelligence Research
• Journal of Parallel and Distributed Computing
• Scientometrics
• Sadhana
• Theoretical Computer Science

Conferences

• TPC Member of ACM International Conference on Web Search and Data Mining (WSDM 2023)
• TPC Member of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
• TPC Member of The Web Conference (WWW 2022)
• TPC Member of The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022)
• TPC Member of COMSNETS 2022
• Organizing Committee Member of Cyber Security CRC CSIRO Data61 Seminar Series
• TPC Member of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)
• TPC Member of IEEE BigData 2021
• TPC Member of The Joint Conference of Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)
• Organizing Committee Member of Symposium on Artificial Intelligence and Law (SAIL) 2021
• TPC Member of International Conference on Artificial Intelligence and Law (ICAIL 2021)
• TPC Member of IEEE International Conference on Blockchain and Cryptocurrency (ICBC) 2021
• TPC Member of International Workshop on Security and Privacy in Big Data (BigSecurity 2021), in conjunction with IEEE INFOCOM 2021
• General Chair of FILA 2020, in conjunction with IEEE BigData 2020
• Organizing Committee Member of DASH 2020, in conjunction with IEEE BigData 2020
• Organizing Committee Member of EdgeDL 2020, in conjunction with IEEE SMARTCOMP 2020
• TPC Member of COMSNETS 2021
• TPC Member of ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2021
• TPC Member of IEEE BigData 2020
• TPC Member of COMSNETS 2020
• TPC Member of ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2020
• Organizing Committee Member of Artificial Intelligence for Legal Assistance (AILA 2019) track of FIRE 2019
• General Chair of ParLearning 2019, in conjunction with ACM KDD 2019
• TPC Member of IEEE BigData 2019
• TPC Member of CoDS-COMAD 2019 Young Researchers Symposium
• TPC Member of COMSNETS 2019
• Organizing Committee Member of LeDAM 2018, co-located with ACM CIKM 2018
• General Chair of ParLearning 2018, in conjunction with IPDPS 2018
• TPC Member of AIoTAS 2018, in conjunction with ISCA 2018
• TPC Member of PABS 2018, in conjunction with ICPE 2018
• Organizing Committee Member of Information Retrieval from Legal Documents (IRLeD) track of FIRE 2017
• TPC Member of COMSNETS 2018
• TPC Member of ACM COMPUTE 2017
• Publicity Chair and TPC Member of IEEE International Workshop on Foundations of Big Data Computing, in conjunction with HiPC 2017
• TPC Chair of ParLearning 2017, in conjunction with IPDPS 2017
• TPC Member of IEEE TrustCom 2017
• Publicity Chair and TPC Member of International Conference on Contemporary Computing (IC3) 2017
• TPC Member of AIoTAS 2017, in conjunction with ISCA 2017
• Publicity Chair and TPC Member of IEEE International Workshop on Foundations of Big Data Computing, in conjunction with HiPC 2016
• TPC Member of IEEE International Workshop on Big Data Metadata and Management, in conjunction with 2016 IEEE International Conference on Big Data
• TPC Member of Social Networking Workshop, in conjunction with COMSNETS 2017
• Organizing Committee Member of ParLearning 2016, in conjunction with IPDPS 2016
• TPC Chair of International Workshop on Security, Trust, Privacy and Analytics (STPA 2016), in conjunction with AINA 2016
• TPC Member of International Workshop on Hardware Accelerated Data Mining, in conjunction with ICDM 2015
• Publicity Chair and TPC Member of IEEE International Workshop on Foundations of Big Data Computing, in conjunction with HiPC 2015
• Organizing Committee Chair of ParLearning 2015, in conjunction with IPDPS 2015

• International Symposium on Robotics Research (ISRR) 2017
• IEEE Global Communications Conference (GLOBECOM) 2016
• International Conference on Algorithms and Discrete Applied Mathematics (CALDAM) 2016
• IEEE International Conference on Data Mining (ICDM) 2015
• IEEE International Conference on Intelligent Transportation Systems (ITSC) 2015
• IEEE International Conference on Advanced Networks and Telecommunication Systems (ANTS) 2015

Academic Collaborators

• Professor Rodrigo Calheiros, Western Sydney University, Sydney, Australia
• Professor Arnab Bhattacharya, Indian Institute of Technology Kanpur
• Professor Suman Banerjee, Indian Institute of Technology Jammu
• Professor Serge Gaspers, University of New South Wales, Sydney, Australia
• Professor Seeun William Umboh, University of Melbourne, Melbourne, Australia
• Professor Sajal K. Das, Missouri University of Science and Technology, Rolla, USA
• Professor Alan Blair, University of New South Wales, Sydney, Australia
• Professor Haris Aziz, University of New South Wales, Sydney, Australia
• Professor Toby Walsh, University of New South Wales, Sydney, Australia
• Professor Suranga Seneviratne, University of Sydney, Sydney, Australia
• Professor V.S. Subrahmanian, Dartmouth College, USA
• Professor Henri Bal , Vrije Universiteit, Amsterdam, The Netherlands
• Professor Mark S. Fox, University of Toronto, Canada
• Professor Krithi Ramamritham, Indian Institute of Technology Bombay
• Professor Francesco Parisi, University of Calabria, Italy
• Professor Sushmita Ruj, University of New South Wales, Sydney, Australia
• Professor Animesh Mukherjee, Indian Institute of Technology Kharagpur
• Professor Saptarshi Ghosh, Indian Institute of Technology Kharagpur
• Professor Kripabandhu Ghosh, Indian Institute of Science Education and Research Kolkata
• Professor Tanmoy Chakraborty, Indian Institute of Technology Delhi
• Professor Mayank Singh, Indian Institute of Technology Gandhinagar

Visitors

• Professor Indrajit Ray, Colorado State University, USA
• Professor Debajyoti Bera, Indraprastha Institute of Information Technology, Delhi
• Professor Subir Kumar Ghosh, Ramakrishna Mission Vivekananda University, Kolkata and Tata Institute of Fundamental Research, Mumbai
• Professor V.S. Subrahmanian, University of Maryland, College Park, USA
• Professor Francesco Parisi, University of Calabria, Italy
• Professor Sayan Mitra, University of Illinois at Urbana-Champaign, USA
• Professor Animesh Mukherjee, Indian Institute of Technology, Kharagpur
• Professor Saptarshi Ghosh, Indian Institute of Technology, Kharagpur
• Professor Tanmoy Chakraborty, Indraprastha Institute of Information Technology, Delhi
• Professor Mayank Singh, Indian Institute of Technology, Gandhinagar
• Paheli Bhattacharya, Indian Institute of Technology, Kharagpur
• Soumya Sarkar, Indian Institute of Technology, Kharagpur
• Pritam Bhattacharya, Indian Institute of Technology, Kharagpur

List of publications from the DBLP Bibliography Server

Granted US Patents

1. Systems and methods for scalable multi-vehicle task allocation
   Chayan Sarkar, Himadri Sekhar Paul, Arindam Pal, Arijit Mukherjee

2. Multi-dimensional sensor data based human behaviour determination system and method
   Avik Ghose, Arpan Pal, Arindam Pal, Tanushyam Chattopadhyay, Santa Maiti

3. Systems and methods for planning location-sensitive probabilistic behavior-based evacuation paths
   Arindam Pal, Francesco Parisi, Venkatramanan Siva Subrahmanian and Subhra Mazumdar

4. Methods and systems for planning evacuation paths
   Arindam Pal, Gopinath Mishra and Subhra Mazumdar

Books

1. Handbook of Artificial Intelligence for Smart City Development
   Sandhya Makkar, Gobinath Ravindran, Ripon Chakrabortty, Arindam Pal
   CRC Press (2023).

2. International Conference on IoT, Intelligent Computing and Security
   Rajeev Agrawal, Pabitra Mitra, Arindam Pal, Madhu Sharma Gaur
   Lecture Notes in Electrical Engineering 982, Springer Nature (2023).

Book Chapters

1. Human Activity Recognition: Trends and Challenges
   Dipanwita Thakur and Arindam Pal
   Activity Recognition and Prediction for Smart IoT Environments.

2. Cascading Failures in Smart Grids under Random, Targeted and Adaptive Attacks
   Sushmita Ruj and Arindam Pal
   A Practical Guide to the Security and Privacy of Cyber-physical Systems: Foundation, Application and Limitation.

3. Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning
   Dipanwita Thakur, Suparna Biswas, and Arindam Pal
   Internet of Things Based Smart Healthcare.

4. On the Vulnerability of Community Structure in Complex Networks
   Viraj Parimi, Arindam Pal, Sushmita Ruj, Ponnurangam Kumaraguru, Tanmoy Chakraborty
   Principles of Social Networking: The New Horizon and Emerging Challenges.

5. Fault-tolerance and Reliability of Smart Grids
   Sushmita Ruj and Arindam Pal
   Encyclopedia of Wireless Networks.

Journal Publications

1. PhishSim: Aiding Phishing Website Detection with a Feature-Free Tool
   Rizka Purwanto, Arindam Pal, Alan Blair and Sanjay Jha
   IEEE Transactions on Information Forensics and Security.

2. Legal Case Document Similarity: You Need Both Network and Text
   Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh
   Information Processing and Management.

3. Subsampled Randomized Hadamard Transformation based Ensemble Extreme Learning Machine for Human Activity Recognition
   Dipanwita Thakur and Arindam Pal
   ACM Transactions on Computing in Healthcare.

4. Task Allocation using a Team of Robots
   Haris Aziz, Arindam Pal, Ali Pourmiri, Fahimeh Ramezani and Brendan Sims
   Current Robotics Reports.

5. Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic
   Shuiqiao Yang, Jiaojiao Jiang, Arindam Pal, Kun Yu, Fang Chen and Shui Yu
   IEEE Open Journal of the Computer Society.

6. Parallel and Distributed Machine Learning Algorithms for Scalable Big Data Analytics
   Henri Bal and Arindam Pal
   Guest editors of special issue of Future Generation Computer Systems containing selected papers of ParLearning 2017

7. Improved Algorithms for the Evacuation Route Planning Problem
   Gopinath Mishra, Subhra Mazumdar and Arindam Pal
   Journal of Combinatorial Optimization.

8. k-means++ under Approximation Stability
   Manu Agarwal, Ragesh Jaiswal and Arindam Pal
   Theoretical Computer Science.

Conference Publications

1. Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Document Similarity
   Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh
   International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020), Xi'an, China.

2. PhishZip: A New Compression-based Algorithm for Detecting Phishing Websites
   Rizka Purwanto, Arindam Pal, Alan Blair and Sanjay Jha
   IEEE Conference on Communications and Network Security (CNS 2020), Avignon, France.

3. Identification, Tracking and Impact: Understanding the trade secret of catchphrases
   Jagriti Jalal, Mayank Singh, Arindam Pal, Lipika Dey and Animesh Mukherjee
   ACM/IEEE Joint Conference on Digital Libraries (JCDL 2020), Xi'an, Shaanxi, China.

4. Towards IoT Security Automation and Orchestration: Challenges and Future Directions
   Yifeng Zheng, Arindam Pal, Sharif Abuadbba, Shiva Raj Pokhrel, Surya Nepal and Helge Janicke
   IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS 2020), Pittsburgh, USA.

5. HushRelay: A Privacy-Preserving, Efficient, and Scalable Routing Algorithm for Off-Chain Payments
   Subhra Mazumdar, Sushmita Ruj, Ram Govind Singh and Arindam Pal
   IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2020), Toronto, Canada.

6. Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies
   Mayank Singh, Arindam Pal, Lipika Dey and Animesh Mukherjee
   ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2020, Hyderabad, India.

7. Methods for Computing Legal Document Similarity: A Comparative Study
   Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh
   International Workshop on Legal Data Analysis (LDA 2019)
   International Conference on Legal Knowledge and Information Systems (JURIX 2019), Madrid, Spain.

8. A scalable multi-robot task allocation algorithm
   Chayan Sarkar, Himadri Sekhar Paul and Arindam Pal
   IEEE International Conference on Robotics and Automation (ICRA) 2018, Brisbane, Australia.

9. Measuring Similarity among Legal Court Case Documents
   Arpan Mandal, Raktim Chaki, Sarbajit Saha, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh
   ACM COMPUTE 2017, Bhopal, India.

10. Automatic Catchphrase Identification from Legal Court Case Documents
    Arpan Mandal, Kripabandhu Ghosh, Arindam Pal and Saptarshi Ghosh
    ACM International Conference on Information and Knowledge Management (CIKM) 2017, Singapore.

11. Understanding the Impact of Early Citers on Long-Term Scientific Impact
    Mayank Singh, Ajay Jaiswal, Priya Shree, Arindam Pal, Animesh Mukherjee and Pawan Goyal
    ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL) 2017, Toronto, Ontario, Canada.

12. A Graph Analytics Framework for Ranking Authors, Papers and Venues
    Arindam Pal and Sushmita Ruj
    International Workshop on Mining and Learning with Graphs (MLG 2016)
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2016, San Francisco, California, USA.

13. Automatic Discovery of Emerging Trends using Cluster Name Synthesis on User Consumption Data
    Tanushyam Chattopadhyay, Santa Maiti, Arindam Pal, Avik Ghose and Arpan Pal
    Wiki Workshop, International World Wide Web Conference (WWW) 2016, Montreal, Canada.

14. Preferential Attachment Model with Degree Bound and its Application to Key Predistribution in WSN
    Sushmita Ruj and Arindam Pal
    IEEE International Conference on Advanced Information Networking and Applications (AINA) 2016, Crans-Montana, Switzerland.

15. Improved Algorithms for the Evacuation Route Planning Problem
    Gopinath Mishra, Subhra Mazumdar and Arindam Pal
    International Conference on Combinatorial Optimization and Applications (COCOA) 2015, Houston, Texas, USA.

16. Citex: A new citation index to measure the relative importance of authors and papers in scientific publications
    Arindam Pal and Sushmita Ruj
    IEEE International Conference on Communications (ICC) 2015, London, UK.

17. Historical Data based Real Time Prediction of Vehicle Arrival Time
    Santa Maiti, Arpan Pal, Arindam Pal, Tanushyam Chattopadhyay and Arijit Mukherjee
    IEEE International Conference on Intelligent Transportation Systems (ITSC) 2014, Qingdao, China.

18. Analyzing Cascading Failures in Smart Grids under Random and Targeted Attacks
    Sushmita Ruj and Arindam Pal
    IEEE International Conference on Advanced Information Networking and Applications (AINA) 2014, Victoria, Canada.

19. k-means++ under Approximation Stability
    Manu Agarwal, Ragesh Jaiswal and Arindam Pal
    International Conference on Theory and Applications of Models of Computation (TAMC) 2013, Hong Kong, China.

20. Approximation Algorithms for Unsplittable Flow Problems on Paths and Trees
    Khaled Elbassioni, Naveen Garg, Divya Gupta, Amit Kumar, Vishal Narula and Arindam Pal
    Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) 2012, Hyderabad, India.

21. Scheduling resources for executing a partial set of jobs
    Venkatesan Chakaravarthy, Arindam Pal, Sambuddha Roy and Yogish Sabharwal
    Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS) 2012, Hyderabad, India.
    Full version on arXiv.

22. A Token-Based Distributed Algorithm for Total Order Atomic Broadcast
    Sandip Dey and Arindam Pal
    International Workshop on Distributed Computing (IWDC) 2002, Kolkata, India.
    The conference is now called International Conference on Distributed Computing and Networking (ICDCN).
    Camera-ready version.

Seminars and Talks

• Machine Learning Algorithms for Detecting Phishing Websites
  CDMS Research Seminar
  School of Computer, Data and Mathematical Sciences, Western Sydney University, May 13, 2021.

• AI for Legal Data Analytics: From Text to Citation Networks and Beyond
  AI Seminar Series
  School of Computer Science and Engineering, UNSW Sydney, March 19, 2021.

• Markov Decision Process and Its Applications to Optimization, Planning, and Reasoning under Uncertainty
  Faculty Training on Artificial Intelligence and Machine Learning
  Indian Institute of Technology Indore, December 22, 2020.

• Graphs, Networks, and Algorithms
  Co-learnium Seminar Series
  CSIRO, Marsfield, September 24, 2020.

• Towards Plausible Graph Anonymization
  Distributed Systems Security Seminar
  Data61, CSIRO, Sydney, September 1, 2020.

• An Excursion in Discrete Geometry
  Co-learnium Seminar Series
  CSIRO, Marsfield, May 21, 2020.

• Fraud Detection and Prediction using Graph-Based User Behaviour Modelling
  Distributed Systems Security Seminar
  Data61, CSIRO, Sydney, November 26, 2019.

• The Mathematics of Machine Learning and Deep Learning
  R&D Bytes Seminar Series
  TCS Research and Innovation, Kolkata, May 24, 2019.

• Machine Learning and Deep Learning - Theory and Practice
  Invited Talk, Workshop on Deep Learning Techniques & Tools: An Academic and Industrial Approach.
  National Institute of Technology, Silchar, April 11, 2019.

• Graph Analytics
  Keynote Talk, Aegis-IBM Meetup on AI, Data Science, and Analytics.
  Birla Industrial and Technological Museum, Kolkata, March 16, 2019.

• Analysis and Design of a New Citation Index
  Keynote Talk, IEMGraph 2018.
  Institute of Engineering and Management, Kolkata, September 6, 2018.

• Social Network Analysis: Algorithms and Applications
  Keynote Talk, 2nd Workshop On Big Data Analytics: Theory and Practice.
  Ramakrishna Mission Vivekananda Educational and Research Institute (RKMVERI), Belur Math, Howrah, June 2, 2018.

• Understanding the Impact of Early Citers on Long-Term Scientific Impact
  IIT Kharagpur, October 27, 2017.
  DDS R&D Bytes, TCS Research, July 28, 2017.
  University of Toronto, Canada, June 21, 2017.

• The Design and Analysis of Complex Networks
  Invited Talk, AICTE sponsored Quality Improvement Programme on Business Analytics and Intelligence.
  Coimbatore Institute of Technology, Coimbatore, April 26, 2017.

• Efficient algorithms for large-scale network analysis
  Invited Talk, Workshop on Big Data Analytics and Management.
  Indian Institute of Engineering Science and Technology, Shibpur, September 1, 2016.

• Preferential Attachment Model with Degree Bound and its Application to Key Predistribution in WSN
  IEEE International Conference on Advanced Information Networking and Applications (AINA) 2016.
  Crans-Montana, Switzerland, March 24, 2016.

• Cascading Failures in Smart Grids under Random, Targeted and Adaptive Attacks
  DIMES, University of Calabria, Rende, Italy, March 27, 2015.

• Citex: A new citation index to measure the relative importance of authors and papers in scientific publications
  University of Technology, Sydney, Australia, August 14, 2015.
  IEEE International Conference on Communications, London, UK, June 11, 2015.
  CTO Analytics Series Seminar, TCS Innovation Labs Kolkata, April 21, 2015.
  DIMES, University of Calabria, Rende, Italy, March 26, 2015.

• Analyzing Cascading Failures in Smart Grids under Random and Targeted Attacks
  28th IEEE International Conference on Advanced Information Networking and Applications (AINA) 2014.
  University of Victoria, Canada, May 14, 2014.

• Approximation Algorithms for Covering and Packing Problems on Paths
  PhD Thesis Defense, IIT Delhi, January 31, 2014.

• Rich get Richer: Power Laws, Long Tails and Preferential Attachment Models in World Wide Web and Social Networks
  JSPS-DST Asian Academic Seminar 2013: Discrete Mathematics and its Applications
  University of Tokyo, Japan, November 9, 2013.
  CTO Analytics Series Seminar, TCS Innovation Labs Kolkata, June 21, 2013.

• k-means++ under Approximation Stability
  10th annual conference on Theory and Applications of Models of Computation (TAMC) 2013
  University of Hong Kong, China, May 20, 2013.

• Approximation and Online Algorithms for Generalized Interval Coloring Problems
  Invited Talk, WALCOM Pre-Workshop School on Graph and Geometric Algorithms
  Indian Statistical Institute Kolkata, February 11, 2013.

• Approximation Algorithms for Finding Maximum Independent Sets in Unions of Perfect Graphs
  Algorithms Reading Group Seminar, November 30, 2012.

• Approximation Algorithms for Unsplittable Flow Problems on Paths and Trees
  IIT Kharagpur, ISI Kolkata, TCS Innovation Labs Kolkata.

Contact Information

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For prospective graduate students and interns
Please don't send me emails regarding admission or internship in IIT Delhi. I am not in charge of the admission process. Instead, look at the relevant website. If you absolutely have to contact somebody, a faculty member will be in a much better position to help you. If you are interested in a job or internship in Optym, please send me a mail. I will forward it to the appropriate persons for further consideration.