2014-2019 - PhD Fellowship - MHRD - Institute Fellowship for Pursuing Ph.D. and Teaching Assistantship
2014 - Travel Grant - ACM SIGIR - For presenting accepted paper in the SIGIR conference held at Gold Coast, Australia
2015 - Travel Grant - XEROX - For presenting accepted paper in the XRCI-Open colloquium held at Bangalore, India.
2015 - Travel Grant - IIT Madras - For attending workshop on Recent Advances in Reinforcement Learning held at Chennai, India.
2015 - Travel & Logistics - Microsoft Research - For attending Summer School on Machine Learning held at IISc Bangalore, India.
2016 - Departmental Winner - IIT Guwahati - Research Conclave
2016 - Travel & Logistics - ACM & Microsoft Research - For attending research summit Analytics and Social India held at Infosys Hinjewadi Campus, Pune, India.
2017 - Travel & Logistics - IIIT Delhi - For collaborative research
2018 - Travel & Logistics - IIT Kharagpur - For presenting accepted poster in ICNDE 2018 held at Kharagpur, India.
2019 - Travel - ACM - For presenting accepted paper in International Conference on Data Science and Management of Data (CODS-COMAD) held at Kolkata, India.
Akash Anil, S Ranbir Singh, Ranjan Sarmah, “Mining Heterogeneous Terrorist Attack Network Using Personalized PageRank”. Web Intelligence 16(1): 37-52 (2018)
L Gyanendro Singh, Akash Anil, S Ranbir Singh “SHE: Sentiment Hashtag Embedding Through Multitask learning”. IEEE Transactions on Computational Social Systems (2019).
Akash Anil, S Ranbir Singh, “Effect of Class Imbalance in Heterogeneous Network Embedding: An Empirical Study”. Journal of Informetrics (2020).
Akash Anil, Niladri Sett, S Ranbir Singh, “Modeling Evolution of a Social Network Using Temporal Graph Kernels” . Published in 37th proceedings of ACM-SIGIR, Gold Coast, Australia, 2014.
Akash Anil, Durgesh Kumar, Shubhanshu Sharma, Rakesh Singha, Ranjan Sarmah, Nitesh Bhattacharya, S Ranbir Singh, “Link Prediction using Social Network Analysis over Heterogeneous Terrorist Network” . IEEE-SocialCom, Chengdu, China, 2015.
Akash Anil, S Ranbir Singh, Ranjan Sarmah “Personalised PageRank as a Method of Exploiting Heterogeneous Network for Counter Terrorism and Homeland Security” . IEEE/WIC/ACM International Conference on Web Intelligence, Nebraska, USA, 2016.
Akash Anil, Shubham Singhal, Piyush Jain, Sanasam Ranbir Singh, Ajay Ladhar, Sandeep Singh and Uppinder Chugh, “Network Sampling Using k-hop Random Walks for Heterogeneous Network Embedding”. CoDSCOMAD, Kolkata, India, 2019.
Akash Anil, Uppinder Chugh, and Sanasam Ranbir Singh, “On Applying Meta-path for Network Embedding in Mining Heterogeneous DBLP Network”. PReMI, 2019.