Core Faculty

Anubha Gupta
Research Interests - Biomedical signal and image processing including FMRI, MRI, DTI, EEG, ECG signal processing, Cancer Imaging and Cancer Genomics, Transform Learning, AI/ML in education, Machine Learning/Deep Learning and its applications, and Higher education policy issues.
Brief Bio - Anubha Gupta received her PhD. from Indian Institute of Technology (IIT), Delhi, India in 2006 in Electrical Engineering. She did her second Master’s as a full time student from the University of Maryland, College Park, USA from 2008-2010 in Education with concentration: Higher Education Leadership and Policy Studies. She worked as Assistant Director with the Ministry of Information and Broadcasting, Govt. of India (through Indian Engineering Services) from 1993 to 1999 and as faculty for about 10 years before joining IIIT-Delhi in Dec. 2013, where she is currently working as Associate Professor. She has author/co-authored over 80 technical papers in refereed journals and conferences and has published research papers in both engineering and education. She has also filed 4 patents. Dr. Gupta is a senior member of IEEE Signal processing Society, a member of IEEE Women in Engineering Society, and is currently serving as Associate Editor of IEEE Access journal.


Angshul Majumdar
Research Interests - Sparse Recovery, Low-rank matrix completion, Medical Imaging, Biomedical Signal Processing, Hyper-spectral Imaging, Collaborative Filtering.
Brief Bio - Angshul Majumdar is an assistant professor at Indraprastha Institute of Information Technology, Delhi since 2012. He completed his PhD from the University of British Columbia; he finished his thesis in a record time of less than two years. His research interests are in sparse and redundant representations arising in machine learning and signal processing. Angshul has over 100 journal papers and top-tier conference proceedings to his credit.
He has written a book on Compressed Sensing based MRI Reconstruction published by Cambridge University Press. He has co-edited two books - MRI: Physics, Reconstruction and Analysis published by CRC Press and Machine Intelligence and Signal Processing published by Springer. He is a senior member of IEEE and is currently serving as the Signal Processing Society's Chair of the Chapter's Committee.


Debarka Sengupta
Research Interests - Applied machine learning and genomics.
Brief Bio - Debarka Sengupta received his Ph.D. in Computer Sc. and Engineering from Jadavpur University. Afterwards, he spent two and half years as a postdoctoral research fellow at the Genome Institute of Singapore. Before joining IIIT-D he spent a short sting at Machine Intelligence Unit of Indian Statistical Institute as a INSPIRE faculty. Debarka started his professional career as a software engineer working for Infosys and then IBM. He consulted and advised a number of technology and service based firms including IPsoft, Datanomers, CoreCompete and Applied Research Works on various data science and business analytics projects. He received the 2007 spot award by Infosys while working there as a software engineer. His U.S. patent on applied social choice theory was awarded by the patent monetization giant Intellectual Ventures. He has twice been nominated for the prestigious INSPIRE Faculty award - in 2014 and 2016.


Jainendra Shukla
Research Interests - intersection of Human-Robot Interaction, Affective Computing and Machine Learning.
Brief Bio - Jainendra Shukla completed his PhD in excellent grades with Industrial Doctorate Distinction and International Doctorate Distinction from Universitat Rovira i Virgili (URV), Spain in 2018. He is the recipient of the prestigious Industrial Doctorate research grant by AGAUR, Government of Spain in 2014. He is experienced in human robot interactions and affect recognition using physiological signals. He is enthusiastic about empowering machines with adaptive interaction ability that can improve quality of life in health and social care. His research has been disseminated in several journals and conferences of international reputation, including Biomedical Signal Processing and Control and International Journal of Social Robotics. Earlier, he obtained his M.Tech. degree in Information Technology with Specialization in Robotics from Indian Institute of Information Technology, Allahabad (IIIT-A) in 2012 and B.E. degree in Information Technology from University of Mumbai in First Class with Distinction in 2009.


Manohar Kumar
Research Interests - Moral and Political Philosophy, Applied Ethics, Digital Ethics (Information and Computer Ethics), Whistleblowing, Civil Disobedience, Epistemic Injustice.
Brief Bio - Manohar Kumar is an Assistant Professor in the Department of Social Science and Humanities, IIIT-Delhi. He completed his PhD in Political Theory from LUISS University, Rome in 2013. Among his publications include a co-authored book titled ‘Speaking Truth to Power. A Theory of Whistleblowing’, Springer, 2018. Prior to joining IIIT-Delhi, Manohar held postdoctoral fellowships at IIT Delhi (2015-2017) and AMSE, Aix Marseille University (2017-2018).


Mayank Vatsa (Head)
Research Interests - Biometrics, Image Processing, Information Fusion, Forensics.
Brief Bio - Mayank Vatsa received the M.S. and Ph.D. degrees in computer science from West Virginia University, Morgantown, USA, in 2005 and 2008, respectively. He is currently an Associate Professor with the Indraprastha Institute of Information Technology, Delhi, India and Visiting Professor at West Virginia University, USA. His research has been funded by UIDAI and DeitY, Government of India. He has authored around 200 publications in refereed journals, book chapters, and conferences. His areas of interest are biometrics, image processing, computer vision, and information fusion. He is a recipient of the AR Krishnaswamy Faculty Research Fellowship, the FAST Award by DST, India, and several best paper and best poster awards in international conferences. He is also the Vice President (Publications) of IEEE Biomertics Council, an Associate Editor of the IEEE ACCESS and an Area Editor of Information Fusion (Elsevier). He served as the PC Co-Chair of ICB 2013, IJCB 2014, and ISBA2017.


P.B Sujit
Research Interests - Unmanned aerial vehicles, underwater vehicles, multi-robot systems, guidance and control, and human-robot interaction.
Brief Bio - P.B. Sujit is an Assistant Professor at the Indraprastha Institute of Information Technology, New Delhi, India. He received the bachelor's degree from Bangalore University, India, in 1998, Master's degree from Visveswaraya Technological University, India, in 2002, and Ph.D. from the Indian Institute of Science, Bangalore, India, in 2006. Earlier, he was a Research Scientist at Universidade do Porto, Portugal and Post-Doctoral Fellow in Brigham Young University, Provo, Utah.


Pushpendra Singh
Research Interests - Mobile Systems and Applications, Middleware, ICT for Development.
Brief Bio - Pushpendra Singh is an Associate Professor at Indraprastha Institute of Information Technology (IIIT-D), New Delhi. He completed his PhD. In 2004 from Inria-Rennes, France in the area of mobile computing. He worked at Portsmouth University, Newcastle University, and Inria-Rocquencourt before IIIT-D. His primary research interest areas are mobile systems and applications, middleware, and ICT for Development. His work has been successfully transferred to Industry in the past leading to creation of start-ups and new products. His research is funded by DEiTY, ITRA, DST, DRDO, CEFIPRA etc. His work has been deployed in the field for various projects including in projects related to national schemes such as NRHM (National Rural Health Mission) and NREGS (National Rural Employment Guarantee Scheme). Pushpendra Singh has also been appointed Nodal Officer by Govt. of NCT, Delhi for running 181-Women-in-distress helpline. All the software for the helpline has been developed by the team of Pushpendra. Pushpendra Singh is also the Associate Dean (IRD), where he looks after the Innovation, Research, and Development activities of IIIT-Delhi.


Rahul Purandare
Research Interests - Program Analysis, Software Security, Automatic Program Repair, Program Comprehension, Specification Mining, Wireless Sensor Networks.
Brief Bio - Rahul Purandare is an Assistant Professor in the department of Computer Science and Engineering at the Indraprastha Institute of Information Technology Delhi (IIITD). He received his Ph.D. in Computer Science from the University of Nebraska - Lincoln in 2011. Before that he worked with Tech Mahindra (India) and with British Telecom (U.K.) from 1996 to 2006 in various capacities as a software engineer, a project leader and a senior consultant. From 2011 to 2013 he worked at the University of Nebraska - Lincoln as a postdoctoral researcher where he conducted research on the analysis of robotic systems and runtime monitoring of resource constrained systems. His research has appeared in the proceedings of several reputed conferences including OOPSLA, ICSE, ISSTA, ASE, PEPM, and RV. He has received the ACM distinguished research paper award for the work which was presented at ISSTA 2013.


Richa Singh
Research Interests - Pattern Recognition, Machine Learning, Biometrics and Medical Imaging.
Brief Bio - Richa Singh received the Ph.D. degree in computer science from West Virginia University, Morgantown, USA, in 2008. She is currently an Associate Professor with the Indraprastha Institute of Information Technology, Delhi, India and a Visiting Professor at West Virginia University, USA. Her research has been funded by UIDAI and MeitY, Government of India. She has authored around 200 publications in refereed journals, book chapters, and conferences. Her areas of interest are biometrics, pattern recognition, and machine learning. She is a recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at the Indraprastha Institute of Information Technology, the FAST Award by DST, India, and several best paper and best poster awards in international conferences. She is also an Editorial Board Member of Information Fusion (Elsevier), IEEE ACCESS, and the EURASIP Journal on Image and Video Processing (Springer). She is serving as the General Co-Chair of ISBA2017 and PC Co-Chair of BTAS 2016.


Saket Anand
Research Interests - Geometric Computer Vision, Semi-supervised learning, Robust methods, Scene understanding.
Brief Bio - Saket Anand is an Assistant Professor at Indraprastha Institute of Information Technology (IIIT), Delhi. He completed his PhD in Electrical and Computer Engineering from Rutgers University in 2013. He was part of the Robust Image Understanding Lab at Rutgers and his current research interests are design of robust statistical methods for heavily corrupted data, 3D scene reconstruction techniques and semi-supervised clustering methods. From 2007 to 2010, he worked as a research engineer at Read-Ink Technologies, Bangalore, developing algorithms for handwriting recognition. His Masters research carried out at Rutgers (2004-2006) involved design and implementation of face recognition and speech recognition algorithms. He is a member of the IEEE.


Sanjit Krishnan Kaul
Research Interests - Optimization of Wireless Networks, Enterprise 802.11 (WiFi) networks, Vehicular Networks, Anomalous activity detection using mobile phones.
Brief Bio - Sanjit got his PhD in electrical and computer engineering from Rutgers. The state university of New Jersey in 2011. He specializes in wireless communications and networks. His dissertation research was on safety messaging in autonomous vehicular networks. Currently, he is an assistant professor at IIIT-Delhi. He is a part of the Wireless Systems Lab at IIIT. His research interests include enterprise wireless network optimization, vehicular networks, and mobile sensing and computing. After finishing his BTech from BIT-Mesra, he worked at Tata Consultancy Services, Hughes Software Systems, and Ubinetics India Pvt. Ltd. While pursuing his PhD he interned at Interdigital Communications and collaborated with Toyota InfoTechnology centre in the US.


Tanmoy Chakraborty
Research Interests - Natural Language Processing, Network Science, Data Mining and Data-driven Cybersecurity
Brief Bio - Tanmoy is an Assistant Professor and a Ramanujan Fellow at the Dept. of Computer Science & Engg., IIIT-Delhi, India. Prior to this, he was a postdoctoral researcher at University of Maryland, College Park, USA. He completed his Ph.D as a Google India PhD fellow from IIT Kharagpur, India in 2015. His primary research interests include Social Network Analysis, Data Mining, and Natural Language Processing. He has received several awards including the prestigious Google India Faculty Award, Early Career Research Award, DAAD Faculty award, best reviewer award in WWW'18, best PhD thesis award by Xerox Research, IBM Research and Indian National Academy of Engineering (INAE). He has been serving as a PC member in several top conferences including WWW, NAACL, AAAI, IJCAI, WSDM. He is currently leading the Laboratory of Computation Social Systems (LCS2, http://lcs2.iiitd.edu.in) at IIIT-Delhi. More information can be found at: http://faculty.iiitd.ac.in/~tanmoy/


Tavpritesh Sethi
Research Interests - Big-data for clinical decision support, Machine Learning for critical care and community medicine, Human Physiology and Teaching Interests are Statistical, Complex Networks and Machine Learning Modelling for medicine and biology, Human Physiology.
Brief Bio - Dr. Tavpritesh is a physician-scientist working at the interface of Data-science and Medicine. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, Delhi. His core expertise is in translating physiological and clinical insights into machine learning models and data-science pipelines. He has received MIT-India TR35 Young Innovator Award for developing an exquisitely sensitive marker for early airway disease and Wellcome Trust/DBT India Alliance Early Career Award for his current focus on forecasting critical outcomes in Pediatric Intensive Care Units. He has a strong clinical base at All India Institute of Medical Sciences, New Delhi and has joined IIITD with a long term vision of co-creating next generation medicine through interfacing of core clinical, biological and computational disciplines.


V. Raghava Mutharaju
Research Interests - Knowledge Graphs/Semantic Web, Ontology modeling and reasoning, Linked Data, Big Data.
Brief Bio - V. Raghava Mutharaju is an Assistant Professor in the Department of Computer Science and Engineering at the Indraprastha Institute of Information Technology, Delhi (IIIT-D), India. He got his PhD in Computer Science and Engineering from Wright State University, Dayton, OH, USA in 2016. After his PhD, he worked as a Research Scientist at GE Global Research Center, Niskayuna, NY, USA. At GE Global Research, his work involved building knowledge graphs from unstructured and semi-structured data, along with using knowledge graphs for predictive analytics. His research interests are in various aspects of Knowledge Graphs/Semantic Web such as construction, ontology modeling, reasoning, querying, and its applications to specific domains such as healthcare. He is also interested in Big Data applications. He has published at several venues such as ISWC, ESWC, ECAI, and WISE. He co-organized workshops at WWW 2019, WebSci 2017, ISWC 2015 and tutorials at ISWC 2019, IJCAI 2016, AAAI 2015 and ISWC 2014. He is/has been on the Program Committee of several (Semantic) Web conferences such as WWW, ISWC, ESWC, K-CAP and SEMANTiCS.


Vikram Goyal
Research Interests - Data Mining, Databases, Spatial Data Analytics.
Brief Bio - I am a faculty in IIIT Delhi. I received my PhD in Computer Science and Engineering from the Department of Computer Science and Engineering at IIT Delhi in 2009. Before pursuing PhD, I completed my MTech in Information Systems from the Department of Computer Science and Engineering at NSIT Delhi in 2003. I have many publications in reputed conferences and referred journals. I have a couple of Projects from DST, India and Deity, India on problems related to Privacy in Location-based Services and Digitized Document Fraud Detection, respectively.





Advisors

Rama Chellappa
Brief Bio - Rama Chellappa is a Distinguished University professor and a Minta Martin professor of engineering, and a professor in the ECE Department at the University of Maryland. He received the K. S. Fu Prize from the International Association of Pattern Recognition (IAPR). He is a recipient of the Society, Technical Achievement and Meritorious Service Awards from the IEEE Signal Processing Society and four IBM faculty Development Awards. He also received the Technical Achievement and Meritorious Service Awards from the IEEE Computer Society. At UMD, he received college and university level recognitions for research, teaching, innovation and mentoring of undergraduate students. In 2010, he was recognized as an Outstanding ECE by Purdue University. He was also recognized as the Distinguished Alumnus of the Indian Institute of Science, Bengaluru, India. He served as the editor-in-chief of the IEEE Transactions on Pattern Analysis and Machine Intelligence. He is a golden core member of the IEEE Computer Society, served as a Distinguished lecturer of the IEEE Signal Processing Society and as the president of the IEEE Biometrics Council. He is a fellow of the IEEE, IAPR, OSA, AAAS, ACM and the AAAI and holds six patents.





Core Students


Anil Sharma, PhD Scholar

Shikha Singh, PhD Scholar

Jyoti Maggu, PhD Scholar

Garvita Bajaj, PhD Scholar

Prawendra Kumar, PhD Scholar

Ramneek Kaur, PhD Scholar

Siddharth Dawar, PhD Scholar

Srikant Baride, PhD Scholar

Parikshit Maini, Ph.D. Scholar

Poojan Oza, M.Tech Student

Aditay Tripathi, M.Tech Student

Ashutosh Gupta, M.Tech Student

Nancy Agarwal, M.Tech Student

Joy Aneja, M.Tech Student

Aanchal Mongia, M.Tech Students

Ankita Mehta, M.Tech Student

Sangeeth Kochanthara, M.Tech Student

Veronica Sharma, M.Tech Student

Sagar Khatri, M.Tech Student

Mohammad Shakir, M.Tech Student

Namrata Deka, B.Tech Student