About Me

I am a TCS Research Fellow pursuing Ph.D. (Signal Processing, Communications and Networks) at Multimedia Wireless Networks (MWN) lab in the Department of Electrical Engineering, Indian Institute of Technology Kanpur (IIT Kanpur) under the supervision of Prof. Aditya K. Jagannatham.
I did my masters in Digital Communication in the Dept. of Computer Science and Engineering, ABV-Indian Institute of Information Technology & Management Gwalior under the supervision of Prof. Aditya Trivedi.

Research Interests

Wireless Communications, Statistical Signal Processing, MIMO Technology, Cooperative Communication, Cognitive Radio Networks, Wireless Sensor Networks, Distributed Detection, Optimal Resource Allocation, Information and coding theory. Applications of Signal Processing, Optimization Techniques, Game Theory and Machine Learning.

Education

Research

Peer Reviewed Journals

  1. Adarsh Patel, H. Ram, A. K. Jagannatham and P. K. Varshney, “Robust Cooperative Spectrum Sensing for MIMO Cognitive Radio Networks Under CSI Uncertainty,” in IEEE Transactions on Signal Processing, vol. 66, no. 1, pp. 18-33, Jan.1, 1 2018.

    This paper considers the problem of cooperative spectrum sensing in multiuser multiple-input multiple-output cognitive radio networks considering the presence of uncertainty in the channel state information (CSI) of the secondary user channels available at the fusion center. Several schemes are proposed that employ cooperative decision rules based on local sensor decisions transmitted to the fusion center by the cooperating nodes over an orthogonal multiple access channel. First, fusion rules are derived under perfect CSI at the fusion center for both antipodal and nonantipodal signaling. Then, a robust detector, termed the uncertainty statistics-based likelihood ratio test, which optimally combines the decisions of different secondary users, is obtained for scenarios with CSI uncertainty. A generalized likelihood ratio test based robust detector is also derived for this scenario. Closed-form expressions are obtained to characterize the probabilities of false alarm (PFA) and detection (PD) at the fusion center. Simulation results are presented to compare the performance of the proposed schemes with that of the conventional uncertainty agnostic detectors and also to corroborate the analytical expressions developed.

  2. Adarsh Patel, S. Biswas and A. K. Jagannatham, “Optimal GLRT-Based Robust Spectrum Sensing for MIMO Cognitive Radio Networks with CSI Uncertainty,” in IEEE Transactions on Signal Processing, vol. 64, no. 6, pp. 1621-1633, March, 2016.

    In this paper, we develop generalized likelihood ratio test (GLRT)-based detectors for robust spectrum sensing in multiple-input multiple-output (MIMO) cognitive radio networks considering uncertainty in the available channel state information (CSI). Initially, for a scenario with known CSI uncertainty statistics, we derive the novel robust estimator-correlator detector (RECD) and the robust generalized likelihood detector (RGLD), which are robust against the uncertainty in the available estimates of the channel coefficients. Subsequently, for a scenario with unknown CSI uncertainty statistics, we develop a generalized likelihood ratio test (GLRT) based composite hypothesis robust detector (CHRD) for spectrum sensing. Closed form expressions are presented for the probability of detection (PD) and the probability of false alarm (PFA) to characterize the detection performance of the proposed robust spectrum sensing schemes. Further, a deflection coefficient based optimization framework is also developed and solved to derive closed form expressions for the optimal beacon sequences. Simulation results are presented to demonstrate the performance improvement achieved by the proposed robust spectrum sensing schemes and to verify the analytical results derived.

  3. Adarsh Patel, B. Tripathi and A. K. Jagannatham, “Robust Estimator-Correlator for Spectrum Sensing in MIMO CR Networks with CSI Uncertainty,” in IEEE Wireless Communications Letters, vol. 3, no. 3, pp. 253-256, June 2014.

    This work introduces novel detection schemes which are robust with respect to the uncertainty in the estimate of the signal covariance matrix for non-coherent spectrum sensing in multiple-input multiple-output (MIMO) cognitive radio networks. We employ an eigenvalue perturbation theory based approach to model the uncertainty in the estimated signal covariance matrix. Subsequently, we derive an optimization framework for the generalized likelihood ratio test (GLRT) based robust test statistic detector (RTSD) and robust estimator-correlator detector (RECD) towards primary user detection, which incorporate the channel state information (CSI) uncertainty inherent in such scenarios. Further, employing the Karush-Kuhn-Tucker (KKT) conditions, we derive closed form expressions for the proposed robust spectrum sensing schemes. Simulation results demonstrate the superior performance of the proposed robust detectors in comparison to the uncertainty agnostic estimator-correlator (EC) detector for spectrum sensing in MIMO cognitive radio networks with CSI uncertainty.

  4. Adarsh Patel and A. K. Jagannatham, “Non-Antipodal Signaling Based Robust Detection for Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks,” in IEEE Signal Processing Letters, vol. 20, no. 7, pp. 661-664, July 2013.

    In this work, we present novel detection schemes for non-antipodal signaling based cooperative spectrum sensing in multiple-input multiple-output (MIMO) cognitive radio (CR) networks, which are robust against the uncertainty in channel estimates. We consider a scenario in which the secondary users (SU) cooperate by reporting the sensed data to the fusion center for soft combining towards primary user (PU) detection. We formulate this problem employing the optimal linear discriminant and model the uncertainties in the channel state information (CSI) as ellipsoidal uncertainty sets. It is then demonstrated that this problem of PU detection with uncertainty in the channel estimates for cooperative spectrum sensing in a CR system can be formulated as second order cone program (SOCP). Further, we extend this paradigm to the associated relaxed robust detector (RRD) and multicriterion robust detector (MRD) that maximally separate the hypothesis ellipsoids in low signal-to-noise power (SNR) and deep fade channel conditions. We present a closed form solution for the proposed robust detector for the above MIMO cooperative spectrum sensing scenario. Simulation results demonstrate a significant improvement in the detection performance of the proposed uncertainty aware robust detection schemes in comparison to the conventional uncertainty agnostic matched filter detector for cooperative MIMO PU detection.

    5. In Press/Prepration/Review
  5. S. Dwivedi, Adarsh Patel, M. Rajput and A. K. Jagannatham, “Subspace Based detection in Multi-User Multi-Antenna Frequency Selective Fast Fading Cognitive Radio Systems,” in IEEE Transactions on Wireless Communications.

    This paper proposes a multiple primary user spectrum sensing framework in multiple antenna cognitive radio systems for frequency selective fading wireless channel scenario which firstly nulls the effect of inter-user as well as inter block interferences. Later is followed by deriving the optimal Neyman-Pearson (NP) criterion as well as suboptimal GLRT based subspace detector for the scenarios considering the known, unknown primary user synchronization parameters respectively. Further, the Rayleigh Quotient based subspace detector is proposed using the GLRT framework to additionally incorporate the effect of unknown noise variance. The proposed detectors are derived for the phased array cognitive radio system where the primary user transmitter as well as secondary user receiver antenna array comprise of closely spaced antenna elements. This is also extended for the spatially uncorrelated multiple-input multiple-output (MIMO) scenario with widely separated antenna elements. The detectors derived for the former scenario additionally exploits the angle dimension of the spectrum space, thereby are shown to have relatively higher sensing accuracy. Closed form expressions for the probabilities of false alarm and detection are derived for the proposed detectors. Lastly extensive simulation based analysis is presented to demonstrate the efficacy of the proposed work in wide variety of scenarios along with their performance comparison with the existing detectors.

  6. N. Varshney, Adarsh Patel, A. K. Jagannatham and P. K. Varshnney , “Diffusion Based Cooperative Molecular Communication in Nano-Networks,” in IEEE Wireless Communications Letters.

    This work presents a novel diffusion based dualphase molecular communication system where the source leverages multiple cooperating nanomachines to improve the end-toend reliability of communication. The Likelihood Ratio Tests are derived for each of the cooperative as well as the destination nanomachines in the presence of multi-user interference. Further, to characterize the performance of the aforementioned system, closed form expressions are derived for the probabilities of detection, false alarm at the individual cooperative, destination nanomachines, as well as the overall end-to-end probability of error. Simulation results demonstrate a significant improvement in the end-to-end performance of the proposed cooperative framework in comparison to multiple-input single-output and single-input single-output molecular communication scenarios in the existing literature.

  7. N. Varshney, Adarsh Patel, A. K. Jagannatham and P. K. Varshney, “Design and Performance Analysis of Dual and Multi-hop Diffusive Molecular Communication Systems,” IEEE Transactions on Signal Processing.

    This work presents a comprehensive performance analysis of diffusion based direct, dual-hop, and multi-hop molecular communication systems with Brownian motion and drift in the presence of various distortions such as inter-symbol interference (ISI), multi-source interference (MSI), and counting errors. Optimal decision rules are derived employing the likelihood ratio tests (LRTs) for symbol detection at each of the cooperative as well as the destination nanomachines. Further, closed-form expressions are also derived for the probabilities of detection, false alarm at the individual cooperative, destination nanomachines, as well as the overall end-to-end probability of error for sourcedestination communication. The results also characterize the impact of detection performance of the intermediate cooperative nanomachine(s) on the end-to-end performance of dual/multi hop diffusive molecular communication systems. In addition, capacity expressions are also derived for direct, dual-hop, and multihop molecular communication scenarios. Simulation results are presented to corroborate the theoretical results derived and also, to yield insights into system performance.

  8. Adarsh Patel, N. Varshney, A. K. Jagannatham and P. K. Varshney, “Sense and forward (SF) and Selective SF based Cooperative spectrumsensing in Cognitive Relay Networks,” IEEE Transactions on Communications.


Peer Reviewed Conferences

  1. Adarsh Patel, A. Ahmad and R. Tripathi, “Multiple Beacon Based Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks under CSI Uncertainty,” 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, Australia, 2017, pp. 1-5.

    This paper presents multiple beacon vectors based robust detection schemes for cooperative spectrum sensing (CSS) in multiple-input multiple-output (MIMO) cognitive radio (CR) networks under channel state information (CSI) uncertainty. The inaccuracies in the estimate of the CSI are modeled as the standard ellipsoidal uncertainty set. We develop a multiple beacon vector based linear discriminant framework to obtain robust detectors for the problem of primary user detection in MIMO cognitive radio networks under ellipsoidal CSI uncertainty. Next, we employ this framework to develop signaling scheme based application specific detectors, namely the antipodal signaling based robust detector and on-off signaling based robust detector, along with their closed form expressions. Further, for the two signalling schemes, we even present allied detectors that are advantageous under low signal-to-noise ratio (SNR) conditions. Simulation results demonstrate a superior detection performance of the proposed robust detection schemes in comparison to the uncertainty agnostic matched filter detector for CSS in MIMO cognitive radio networks.

  2. M. Rajput, S. Dwivedi, Adarsh Patel and A. K. Jagannatham, “Subspace based multi-user spectrum sensing in frequency selective cognitive radio systems,” 2016 IEEE Region 10 Conference (TENCON), Singapore, 2016, pp. 1154-1157.

    This paper proposes an optimal subspace based detector for multiple primary user spectrum sensing in frequency selective Rayleigh fading wireless channels. The proposed sensing scheme employs the optimal zero-forcing algorithm to null the effect of inter block interference (IBI) occurring due to the multipath nature of the wireless channel and also the multi user interference (MUI) arising due to the presence of other interfering primary users. This is followed by deriving the optimal Neyman-Pearson (NP) criterion based subspace detector to efficiently sense the presence/absence of the desired user. To characterize the efficacy of the proposed detection framework, expressions for the probabilities of false alarm and detection are also derived. Finally, performance comparison with existing detectors is presented.

  3. Adarsh Patel, S. Biswas and A. K. Jagannatham, “Multiple Beacon Based Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks,” Vehicular Technology Conference (VTC Fall), 2013 IEEE 78th, Las Vegas, NV, 2013, pp. 1-5.

    This paper introduces novel detection schemes for multiple beacon signaling based cooperative spectrum sensing in multiple-input multiple-output (MIMO) wireless cognitive radio (CR) networks with channel state information (CSI) uncertainty. We consider a scenario in which the fusion center employs soft combining of the samples sensed by the cooperating secondary users corresponding to the primary user base-station beacon signals. We formulate the multiple beacon signaling based robust detectors, namely the robust estimator-correlator detector (RECD) and the robust generalized likelihood detector (RGLD), that can be employed at the fusion center towards primary user detection incorporating CSI uncertainty for cooperative spectrum sensing in MIMO CR networks. Further, we formulate a deflection coefficient based optimization framework and derive the optimal beacon sequence to maximize the probability of primary user detection at the fusion center. Simulation results show that the proposed robust detectors yield a significant improvement in the detection performance compared to the conventional CSI uncertainty agnostic matched filter (MF) detector for cooperative spectrum sensing in MIMO CR networks. Moreover, the optimal beacon signaling based robust detectors result in additional enhancement in the accuracy of primary user detection over suboptimal beacon structure based detectors.

  4. Adarsh Patel and A. K. Jagannatham, “SOCP based robust detector for cooperative spectrum sensing in MIMO cognitive radio,” Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th, Hoboken, NJ, 2012, pp. 133-136.

    In this paper we present a robust detection scheme for cooperative spectrum sensing in cognitive radio (CR) networks with channel uncertainties. We consider a soft-decision scenario at the fusion center for primary user detection, based on the sensed test statistics submitted by the cooperating secondary users. The scheme presented models the channel state information (CSI) uncertainty employing an ellipsoidal uncertainty set. It is then demonstrated that the optimal linear discriminator for cooperative spectrum sensing towards primary user detection in a CR system can be formulated as a second order cone program (SOCP). Further, we also formulate a relaxed robust detector (RRD) and a multicriterion robust detector (MRD) that maximally separate the hypothesis ellipsoids at low signal-to-noise ratio (SNR) and deep fade conditions. Simulation results demonstrate that the detection error performance of the proposed CSI uncertainty aware robust spectrum sensing schemes are significantly lower compared to other uncertainty agnostic schemes.

  5. Adarsh Patel and A. Trivedi, “Particle-Swarm-Optimization-Based Multiuser Detector for Multicarrier CDMA Communications,” International Conference on Computational Intelligence and Communication Networks (CICN), 2010 IEEE, Bhopal, 2010, pp. 534-538.

    Multi-carrier code division multiple access (MCCDMA) mobile communication systems targets to overcome the multi-path fading influences and to increase system capacity. In this paper, we present a modified version of evolutionary algorithm, called as Particle swarm optimization (PSO) which quickly converges to global optimal solution. This algorithm is used to develop a suboptimal multi-user detection (MUD) strategy for MC-CDMA systems. More specifically, after getting the initial population from the front-end frequency domain maximal ratio combining (MRC) or minimum mean-square error (MMSE) equalizer, simplified PSO optimization is applied. Simulation results show that the proposed PSO algorithm remarkably improves the performance of both, MRC and MMSE detector. Results of proposed MMSE-PSO scheme are better than the MMSE detector and it also outperforms MRC-PSO scheme.

Accomplishments

Awards/Honors

  • Selected for the INAE Innovative Student Projects Award 2017 for the Ph.D. thesis titled "Robust Spectrum Sensing for Multiple-Input Multiple-Output Cognitive Radio Networks".
  • Selected for the SERB-National Post Doctoral Fellowship (N-PDF) to conduct research at IISC Bangalore.
  • Awarded Tata Consultancy Services (TCS) Research Fellowship for Ph.D. studies during Jan. 2013 to Dec. 2017.
  • Awarded Doctoral Fellowship by the Ministry of Human Resource Development (MHRD), Government of India during Aug. 2010 to Dec. 2012.
  • Stood 1st in the branch and 2nd in the University during M.Tech. 2008-10 batch at ABV-Indian Institute of Information Technology and Management Gwalior (IIITM Gwalior).
  • Awarded SERB International Travel grant to present in 85th IEEE Vehicular Technology Conference (VTC spring), 2017 at Sydney, Australia.
  • Awarded TCS Research Travel grant to present in 78th IEEE Vehicular Technology Conference (VTC Fall), 2013 at Las Vegas, USA.
  • Awarded DRPG Travel grant to present in 7th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 at Hoboken, New Jersey, USA.
  • Awarded M.Tech fellowship by the Ministry of Human Resource Development (MHRD), Government of India during Aug. 2008 to Jul. 2010.
  • Qualified Graduate Aptitude Test in Engineering GATE-2008.
  • Awarded conference grant from ABV-IIITM to present in the IEEE Conference on Computational Intelligence and Communication Networks (CICN) in May 2010 at RGPV Bhopal, India.
  • Awarded grant from ABV-IIITM to attend short course on "OFDM Based Next Generation Wireless Standards", during May. 17-19, 2010 at IIT Kanpur.
  • Awarded grant from ABV-IIITM to attend short course on "Advanced DSP Design Techniques", during Jun. 15-17, 2009 at IIT Kharagpur.

Extra-curriculars

  • Won Gold Medal at District Level KHO-KHO Championship held at Lucknow.
  • Participated and won Medals at various national level intercollege Badminton tournaments.
  • Won many prizes in circuit design, bridge building, glider design and flying contests at various intercollege competitions.
  • Active organizing member of various short term courses held at ABV-IIITM Gwalior and IIT Kanpur.
  • Actively organized many events during Cultural and Technical fests held at IU Lucknow, ABV-IIITM Gwalior and IIT Kanpur.
  • Hobbies include Sketching, Violin playing, Badminton, Swimming, Running, Trekking and Cycling.

Talks & Projects

Lectures/Tutorials Conducted

  • Conducted tutorials at short course on Signal Processing for 5G Massive MIMO Wireless Systems, held at IIT KANPUR, Jan. 2017.
  • Delivered a talk on “Robust Detection schemes for Multiple-Input Multiple-Output (MIMO) Cognitive Radio Networks,” at Tata Consultancy Services Limited, TCS Bangalore, Jan. 2017.
  • Conducted tutorials at short course on Cognitive Radio and Wireless Communications-Theory, Practice and Security, under Global Initiative for Academic Networks (GIAN), held at IIT KANPUR, Sep. 2016.
  • Lecture on “Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio (CR) Networks,” at short course on, Convex Optimization for Wireless Communications, held at IIT KANPUR, Oct. 2014.
  • Lecture on “Convex Optimization and Game Theory,” at short course on, Applied Game Theory for Engineers and Managers, held at IIT KANPUR, June 2014.
  • Lecture on “Optimal Frame Rate Allocation and Quantizer Selection for Unicast and Multicast Wireless Scalable Video Communication,” held at IIT BOMBAY, Apr. 2014.
  • Lecture on “Convex Optimization,” at short course on, Cognitive Radio: The Next Frontier in Wireless Communications, held at IIT KANPUR, Oct. 2011.

Conferences

  • Presented a poster on “Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks" in Electrical Engineering Research Scholar Day on Nov. 1, 2014 held at IIT Kanpur.
  • Presented a paper titled “Multiple Beacon Based Robust Cooperative Spectrum Sensing in MIMO Cognitive Radio Networks,” in the 78th IEEE Vehicular Technology Conference (VTC2013-Fall) during September 2-5, 2013 at the Encore at Wynn, Las Vegas, USA.
  • Presented a poster on “SOCP based robust detector for cooperative spectrum sensing in MIMO cognitive radio,” in the 7th IEEE Workshop on Sensor Array and Multichannel Signal Processing Workshop (SAM- 2012) in June 2012 at Stevens Institute of Technology Jersey, New York, USA.
  • Presented a paper titled “Particle-Swarm-Optimization-Based Multiuser Detector for Multicarrier CDMA Communications,” in the IEEE Conference On Computational Intelligence and Communication Networks (CICN) in May 2010 at RGPV Bhopal, India.
  • Participated in Twenty Third National Conference on Communications (NCC 2017) during Mar. 1-4, 2017 at IIT Madras.
  • Participated in Twentieth National Conference on Communications (NCC 2014) during Feb. 28-Mar. 3, 2014 at IIT Kanpur.
  • Participated in 5th IEEE Conference and workshop on “Wireless Communication & Sensor Networks” in December 2009 at IIIT Allahabad.

Workshops/Short Courses Attended

  • Attended a 5G workshop on “Prototyping Experimental 5G Testbeds,” chaired by Prof. Arogyaswami Paulraj, at Twenty Third National Conference on Communications (NCC 2017) during Mar. 1-4, 2017 at IIT Madras.
  • Attended Shannon’s Centenary Day. As a part of the Shannon Centenary celebrations of the IEEE Information Theory Society, IIT Kanpur celebrated Shannon Day on Oct. 19, 2016.
  • Attended lectures on “The Geometry of Statistical Inference,” by Prof. Steven M. Kay, University of Rhode Island, at the 7th IEEE Workshop on Sensor Array and Multichannel Signal Processing during June 17-20, 2012 at Stevens Institute of Technology Jersey, New York, USA.
  • Attend lectures on “Quickest Change Detection in Distributed Sensor Networks,” by Prof. Venugopal V. Veeravalli, University of Illinois at Urbana-Champaign, in the 7th IEEE Workshop on Sensor Array and Multichannel Signal Processing during June 17-20, 2012 at Stevens Institute of Technology Jersey, USA.
  • Successfully completed a short course on “Cognitive Radio: The Next Frontier in Wireless Communications,”during Nov. 23-25, 2010 at IIT Kanpur in association with BSNL IITK Telecom Center of Excellence.
  • Successfully completed a short course on “OFDM Based Next Generation Wireless Standards,” during May 17-19, 2010 at IIT Kanpur in association with the BSNL IITK Telecom Center of Excellence (BITCOE).
  • Attended a short course on “Advanced DSP Design Techniques,” during Jun. 15-17, 2009 at IIT Kharagpur.

Work Experience

Research Assistant

  • Research Assistant, Multimedia Wireless Networks Lab, IIT Kanpur
  • Research Assistant, DST-EPSRC sponsored project titled “Advanced Air Interface Techniques”, IIT Kanpur

Internships

  • RELIANCE COMMUNICATION LTD., Lucknow | (Summer 2007)
    Project Title: Comparative study of Global System for Mobile communication (GSM) and Code Division Multiple Access (CDMA) Techniques
  • VEDANTA-SEMICONDUCTOR COMPLEX LTD. | (Summer 2006)
    Project Title: VHDL (VHSIC Hardware Description Language) implementation of 8-Bit arithmetic logic unit (ALU)

Teaching Experience

  • NPTEL-MOOC (Massive Open Online Course), Teaching Assistant
    COURSES:
    • Strategy: An Introduction to Game Theory (Jan. 2015 - Mar. 2015)
    • Principles of Modern CDMA/MIMO/ OFDM Wireless Communications (Jul. 2015 – Sep. 2015)
  • Graduate Teaching Assistant, Dept. of Electrical Engineering, IIT Kanpur
    COURSES:
    • Wireless Communication: Spring 2012
    • Principles of Communication: Spring 2011
    • Digital Signal Processing Laboratory: Fall 2010
    • Applied Game Theory: Summer 2013, 2014 and 2016
    • Introduction to Electronics: Fall 2011 and 2012, Spring 2013
  • Teaching Assistant, Dept. of Computer Science & Enginnnering, ABV-IIITM Gwalior
    COURSES:
    • Communication Systems: Spring 2010, Spring 2009

Professional Services

TECHNICAL REVIEWER
  • Journals
    • IEEE Transactions on Signal Processing
    • IEEE Transactions on Vehicular Technology
    • IEEE Wireless Communication Letters
    • IEEE Signal Processing Letters
    • IEEE Communication Letters
    • IEEE Access
  • Conferences
    • GLOBECOM-2012, 2016
    • ISWTA-2012, 2013
    • SPCOM (2012 to 2016)
    • NCC (2013 to 2017)
    • CONNECT-2014
    • MILCOM-2013
    • ICC-2015
    • APACE-2012
    • CICN-2013
    • ANTS-2014
  • Projects
    • DST, SERB and HAL

Distractions

Endurance Sports

  • MARATHONS (🏃):
    I have run a half marathon (21 Km) organized by the Adventure Club, IIT Kanpur in April 2017. Apart from half marathon, I have successfully completed many 17 Km/ 15 Km/ 12 Km runs at different venues. Yet, I am to be tested over a full marathon distance (42 Km).

  • BIKING (🚴):
    I have completed many rides over the bike. One of the most memorable rides was the Annapurna circuit, a 230 Km bike ride on Annapurna mountain range of central Nepal which rises to an altitude of 5,416 m on the Thorung La pass, touching the edge of the Tibetan plateau. The mountain scenery, seen at close quarters includes the Annapurna range (I-IV), Dhaulagiri, Gangapurna, Tilicho Peak, Machhapuchhre, and Manaslu. Another memorable ride was the 540 Km (up & down) Kanpur to Panna National Park via. Khajuraho and Raneh waterfalls. Apart from these, I have done many weekend bike rides from IIT Kanpur to Lucknow (210 Km up & down), Unnao (62 Km up & down), Ganga Bairaj (30 Km up & down), Bithoor (30 Km up & down), etc.

  • DUATHLONS (🏃🚴)/ TRIATHLONS (🏊🚴🏃):
    I have completed several Super Sprint Duathlons (🏃5 Km, 🚴10 Km) and Sprint Duathlons (🏃10 Km, 🚴10 Km) held at IIT Kanpur. Next, I aim to first complete a half Ironman 70.3 (🏊1.2 miles, 🚴56 miles, 🏃13.1 miles) and then a full Ironman 140.6 (🏊2.4miles, 🚴112miles, 🏃26.2miles).

Adventure Sports ()

I have completed many treks in Himachal Pradesh on foot, such as Kugti pass Trek (Altitude: 5,053 m), Lamkhaga Trek (Altitude: 5,283 m), Pin Parvati Pass Trek (Altitude: 5,319 m) in Pin Parvati valley of Spiti. I did mountain biking at Annapurna range of mountains in Nepal. At IIT Kanpur I learned climbing, jumaring, rappelling, belaying, knots and practiced it at various places including IMF Delhi and at IIT Kanpur. Apart from my regulars, I have been mesmerized by the experience of Parasailing; Bungee jumping in 2009 at Rishikesh; Parachuting/ SkyDiving (Height: 4,600 m) in 2013 at Las Vegas, Nevada; River Rafting (15 Km) and Kayaking in 2009 & 2012 at Rishikesh. I would love to do a professional training to do solo skydiving, and paragliding.

Athletic Sports ()

Badminton was my main obsession growing up. I have played many tournaments at inter-school, inter-college levels and won various prizes. Apart from these I have even played and won many matches at hostel level at IIT Kanpur and IIITM Gwalior. I have also won many medals playing Kho-Kho at inter-school and district levels. I also do like to play cricket, table tennis, do roller skating, and swimming.

Artistic ()

Since childhood, I had a keen interest in fine arts, i.e., Drawing, Painting, and Sketching. During my school and college, I have won many prizes in still life drawing, water color painting, spray painting and collage making. My favourites with pencil sketching are landscapes and forests. I have spent many afternoons of summer vacations doing chalk sculptures. Apart from these, I also very fondly perform Decorative Craft, Paper Craft, Quelling, Origami, and Calligraphy.

Photography ( )

The excitement of exploring new places and the company of great friends has always enriched my travels. I am keen to capture an opportunity worth remembering while visiting places. I truly believe a perfectly clicked photograph has the power to capture the beauty/ moment that made us spellbind, to forever gaze wide-eyed, awestruck. I am an amateur photographer who is learning various photography techniques. I am a devoted collector of illustrative single photographs that imbibe a story in it.

Contact Me

ACES 205, MWN Lab,
Dept. of Electrical Engineering,
Indina Institute of Technology Kanpur,
Kanpur, Uttar Pradesh, India.
Pin Code: 208016
E-mail:
apatel31[AT]syr[DOT]edu
adarsh[AT]iitk[DOT]ac[DOT]in